#e learning statistics 2021

[reasonandempathy]

A brief summary of how Education fails Boys

I saw people sincerely questioning and minimizing the current struggles boys face in education.

So, I wanted to collect some relevant information, with sources. All of these are from the past couple of years, from 2021 onward.

Girls have more difficulty accessing education and are more likely than boys to be out of school at primary level. However, boys are at greater risk of repeating grades, failing to progress and complete their education, and not learning while in school. Globally, 128 million boys are out of school. That’s more than half of the global out-of-school youth population and more than the 122 million girls who are also out of school. The Leave no child behind: Global report on boys’ disengagement from education shows that boys are increasingly left behind in education. They are at greater risk of repeating grades, failing to progress and complete their education, and not learning while in school. While previously boys’ disengagement and dropout were concerns mainly in high-income countries, several low- and middle-income countries have seen a reversal in gender gaps, with boys now lagging behind girls in enrolment, completion and learning outcomes. Boys are more likely than girls to repeat primary grades in 130 countries, and more likely to not have an upper secondary education in 73 countries. At tertiary level, globally only 88 men are enrolled for every 100 women. 

In 1970, women only made up 42 percent of the college population. Today, the roles have essentially reversed. The U.S. Department of Education estimates men to make up 43 percent of enrolled individuals in college. And this crisis impacts minority populations even more: only 36 percent of Black and 40 percent of Hispanic bachelor degree recipients are male. 

This is not an issue of colleges neglecting to admit men at an equal rate. Rather, colleges are receiving fewer applications from men than women. In 2010, only 44 percent of college applications were from men and that number has been steadily declining since. The decrease in male applicants is a sign that men are discouraged from pursuing higher education at a disproportionately high rate. 

These statistics point to a larger, systemic problem. The American education system perpetuates a series of gender norms that cause significant harm to children; boys are impacted by these expectations in a way that tends to be overlooked. The stereotype that boys have a higher propensity to misbehave has led to the over-punishment of boys in the classroom.        

Boys are facing key challenges in school. Inside the effort to support their success

An APA task force is spotlighting the specific issues and recommending evidence-based ways to enact swift change At school, by almost every metric, boys of all ages are doing worse than girls. They are disciplined and diagnosed with learning disabilities at higher rates, their grades and test scores are lower, and they’re less likely to graduate from high school (Owens, J., Sociology of Education, Vol. 89, No. 3, 2016; Voyer, D., & Voyer, S. D., Psychological Bulletin, Vol. 140, No. 4, 2014; “The unreported gender gap in high school graduation rates,” Brookings, 2021). These disparities persist at the university level, where female enrollment now outpaces male enrollment by 16% (Undergraduate Enrollment, National Center for Education Statistics, 2022). “The gap between boys and girls is apparent from very early on,” said developmental psychologist Ioakim Boutakidis, PhD, a professor of child and adolescent studies at California State University, Fullerton. “The disparities not only exist across the board—from kindergarten all the way to college—but they are growing over time.” For boys of color, that gap is even larger. They face suspension and expulsion from school at almost five times the rate of their White male classmates and are even less likely to finish high school or college (“Exploring Boys’ (Mis)Behavior,” Society for the Psychological Study of Men and Masculinities, 2022 [PDF, 261KB]). The implications of these disparities are huge. Doing poorly at school is strongly associated with major challenges later in life, including addiction, mental and physical health problems, and involvement with the criminal justice system—problems that also have ripple effects on society at large. In the United States, getting at least a college degree may be the one remaining, relatively stable ticket to a decent life, Boutakidis said.

In a recent New York Times essay, “It’s Become Increasingly Hard for Them to Feel Good About Themselves,” Thomas Edsall reviews a variety of research studies highlighting the plight of young men in the United States. As a front-line educator who has worked in boys’ schools for 30 years and served as the head of a boys’ school for the past 20 years, I’ve been an unhappy witness to this dilemma. Data supports the claim that boys are falling behind, and dramatically so. For example, there is a growing gender gap in high school graduation rates. According to the Brooking Institution, in 2018, about 88% of girls graduated on time, compared with 82% of boys. For college enrollment, the gender gap is even more striking, with men now trailing women in higher education at record levels. Last year, women made up 60% of college students while men accounted for only 40%, according to statistics from the National Student Clearinghouse. College enrollment in the United States has declined by 1.5 million students over the past five years, with men accounting for 71% of that drop.

[arousedai]

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Overview of AI in Image Generation

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FAQs on AI-Generated Nudes

Common Questions

How are AI-generated nudes created?

AI-generated nudes come to life through advanced algorithms. These tools analyze and manipulate images using neural networks. The process involves feeding the AI with vast datasets of images. The AI learns patterns and structures from these images. Users provide input, often in the form of text prompts or initial images. The AI then generates a new image based on this input. This method allows for the creation of realistic and detailed images.

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Addressing Misconceptions

AI vs. Human Creativity

Many people wonder if AI can match human creativity. AI-generated art has gained popularity. A survey showed that 56% of Americans enjoyed AI art. Some even found it better than human-created works. AI offers unique possibilities for artists. The technology allows for experimentation without limits. However, human creativity remains irreplaceable. The fusion of AI and human creativity leads to stunning results.

Misuse of AI Technology

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You've explored some amazing AI tools for generating nude images. Each tool offers unique features that cater to different needs. NightCafe Studio, SextingCompanion, and DeepNude.ai provide exciting possibilities. Remember, ethical use of these tools is crucial. Privacy, consent, and ownership matter. Aroused.ai emphasizes responsible exploration. Always stay informed about legal guidelines. Use AI technology wisely and creatively. Dive into this fascinating world with awareness and respect.

[saulweissberg-archive]

i. biography. ii. statistics. iii. connections.

NAME / Saul Elisha Weissberg AGE / 52, born on November 23rd, 1971 GENDER & PRONOUNS / Cis man, he/him. ORIENTATION / Bisexual MARITAL STATUS / Single, divorced x3 HOMETOWN / Manhattan, New York City, New York RESIDENCE / Summit Lake, Providence Peak, Colorado as of 2021 OCCUPATION / Family Law Attorney specializing in divorce at the Law Office of Saul E. Weissberg, LLC

SUMMARY,

trigger warnings — parental death, drugs mention.

Grew up in a very successful family with two parents and a twin brother. The lineage of the Weissbergs includes many doctors, lawyers, professors, and even a senator or two. That meant Saul had a lot to live up to, which he initially flouted until his father’s death in 1987. After the loss of his father, Saul started to take his future seriously and studied as hard as he could to be accepted into an ivy league school. (Honestly, his family members could’ve bought him into any of them, but he wanted to be accepted on his own merit.)

His hard work paid off and that ivy league school ended up being Columbia University. Out on his own in Manhattan, Saul developed a work hard, play hard philosophy. It was early ‘90s New York City and the c*caine was a-plenty, so you can imagine just how hard Saul played. The only problem was that his brother wasn’t with him, but they needed some independence from each other (and Levi probably didn’t want to witness his twin brother be a ho anyway).

Though he didn’t grow up in a conservative hellhole, at least not as much as compared to other cities in the early nineties, Manhattan was the first time Saul was allowed to experiment not only with drugs and alcohol, but with women and men. All bets were off for Saul, but he still somehow managed to graduate from Columbia with honors and a promising future.

From Columbia University to Columbia Law School: Saul wanted to follow in his father’s footsteps and be an attorney just like dad. Family Law particularly interested him due to the amount of money divorce lawyers could earn, and well, he likes to know the tea™ so it seemed a perfect fit. He graduated with a juris doctor, a new wife, and an infant son.

Saul was a natural born shark at his job and a burgeoning workaholic, which led to the failure of his first marriage. Katie took their son, Micah, and moved to the suburbs to raise him in a more stable environment. Saul became a weekends and holidays dad, too busy with work to devote Micah with the attention he needed. As much as Saul loved his son, it was for the best. He learned that he wasn’t suited to be a family man, so when he met his second wife, he stressed he didn’t want to have any more children… unfortunately, all she wanted was a baby, so his second marriage ended in flames just the same.

All of his hard work paid off. He made partner at thirty-two, had more money than he could dream of, a son that idolized him (though Saul didn’t deserve it), and could count himself among the many successful Weissberg men before him. He still believed in the work hard, play hard philosophy, but as he grew older, the nightclubs and dive bars turned into charity galas and country clubs. The people of New York thought of him as sophisticated and Saul earned the reputation of a cutthroat divorce attorney that represented Real Housewives and rich ex-wives.

He loved his life in Manhattan. He loved his job, he loved his rent-controlled penthouse apartment, he certainly loved the money, and even loved the dirty streets of New York. There was no one in the world that was going to convince him to leave. Until, of course, ex-wife the third. They had been married for a few years, (somewhat) happily, but her older sister, the esteemed Dr. Kathleen Clark, had moved back to their hometown of Providence Peak, Colorado. After that, his wife would not stop begging Saul to move out west.

Though he was happy with his life in Manhattan, there were things he wanted to change; he had mentioned the idea of starting his own firm a few times, and it might be nice to live in an actual house where his son might bring grandchildren one day. (Really, he had been living in apartments since George H.W. Bush had been in office!) All facts that his wife exploited in her begging, naturally. Plus, it would make her happy. Happy wife, happy life—despite the thirty long career with evidence to the contrary. 

Eventually, he relented, and the couple came to Providence Peak in January 2021. Unfortunately, their marriage barely survived the move, and didn’t survive him opening his own firm. His work was supposed to be lessened by moving out to Providence Peak, expecting a lighter workload with a smaller city, but starting his firm made him busier than ever. His wife was happy to be home, but unhappy with her avoidant husband and with her sister constantly in her ear, telling her to leave him. They divorced in late 2022, more acrimoniously than his second wife, but less than his first.

Saul considered going back to Manhattan now that his marriage had ended, constantly complaining about the mountain air and lack of culture and friendly people, but ultimately decided to stay. Having just started his firm, it was successful but still needed room to grow, and he just bought a house in Summit Lake with the intention to retire in ten years. There was really no other choice, he had to stay in Colorado.

So, that’s what Saul has been doing for the past three years—growing his business from out under the shadow of Chapman & Sons, trying to avoid his ex-wife around town, and causing as much chaos as he possibly can to entertain himself.

PERSONALITY,

Let's get this straight upfront: Saul is a messy, messy bitch. He enjoys nothing more than gossiping with the old ladies in town and having his nose in everyone's business. If you have something going on in your life, he wants to know about it AND give his opinion!!

He is as greedy as he is messy, too. He loves nothing more than making money, having the judge rule in his client's favor, and wearing designer suits. Unfortunately, his firm is still young, and with (stinky 😝) Chapman & Sons in town before Saul was even born, he's got a long way to go before his firm is truly successful.

He's got a natural charm to him that some people percieve as smarmy, others find it attractive. He's good for a good time, even in his fifties, and while he can be irritating at times, he can also be really funny so no one has murdered him for being annoying yet.

Despite the three failed marriages, he's a good person to have in your corner as a client or as a friend—he’s a lawyer, there’s nothing he loves more than to win, and if he needs to, he’ll give a verbal lashing like you wouldn’t believe. To put it plainly, he's a better friend than a husband.

Somehow, he keeps convincing people to marry him. When he wants to be, he can loving and seductive, but he's emotionally distant and unserious by default. His three decade long career should stop him from ever wanting to get married, but he did genuinely love all three wives at some point in his life. (He was also only ever married to women because it wasn't legal to marry any of his boyfriends at the time, so maybe he'll trade in wife #4 for husband #1?) He views himself as a hopeful—but realistic—romantic.

WANTED,

specific connections,

HIS EX-WIFE / Thalia Clark-Weissberg, or maybe back to Clark now, is the most recent ex-wife of Saul, and the younger sister of University President Dr. Kathleen Clark. Their marriage ended mostly ambicably, but there's still some open wounds between the two. I'm putting in an official wanted connection over at the main for this role, but if anyone wants to pick her up, please message me! I've left a lot of their history vague so we can plot it all out together.

HIS SON / Micah Weissberg (name can be changed) is the only known child of Saul. Their relationship is fraught because Saul and Katie divorced when Micah was very young and she moved Micah out to the suburbs to be raised away from the chaos of the city. Saul wasn't a very present father, but Micah followed the family tradition to be a lawyer, and Saul has been trying to reconnect since he turned the big 5-0.

general connections,

CLIENTS / Saul is a highly successful divorce lawyer, so if your muse or someone in their life has filed for divorce in the past three years, it's likely he's their lawyer. While he specializes in divorce, he practices all areas of family law, so custody disputes, adoption or foster care proceedings, etc. are under his purview! If your muse needed a lawyer and didn't go to Chapman down the street, then it was probably Saul that took on their case!

BEST FRIEND (0/1) / Saul has many friends, but this specific person is his best friend (in Providence Peak, at least). The person he'd call the moment something interesting happened to gossip about it, the one person he shows some vulnerability to, the one person he divulges all his feelings to, and vice versa!

FRIENDS / Saul is an acquired taste, but he's a fun guy to have around. If you want to gossip over brunch, dance all night, or have a cry-sesh over wine, he's your man.

ENEMIES / On the flip side of that, he can also be a petty enemy. Maybe your muse got a divorce and Saul was representing their spouse, maybe he made a bitchy comment at the wrong moment, maybe your muse doesn't like his flashy ways, or they just don't like the cut of his jib. The possibilities are endless.

ROMANTIC INTERESTS (36+) / There's a reason he was able to get three different women to marry him across multiple decades, alright? It'll probably be a casual fling, but knowing his track record, it could lead somewhere serious.

SEXUAL PARTNERS (34+) / Casual hookups, friends-with-benefits, a situationship, whatever you think your character would be interested in with him.

GO-TO DATE (1/1) / Since he's trying not to get wrapped up in another serious relationship, he needs a platonic friend to take as a date to town events and fancy dinners! @yasdogan

MENTEE or INTERN / Is your muse thinking about joining the legal profession? Do they want someone to mentor them? Do they enjoy grabbing coffees and gossiping? Saul's hiring!

CHILD FIGURES (1/2) / Saul has a very distant relationship with his son that still lives in New York, but he does have fatherly tendencies within. Since there's a lot of young characters (meaning anyone under the age of 34 basically since they're babies in Saul's opinion lol) in the rpg and I believe Saul is the oldest in the rpg currently, these muses would view Saul as a surrogate father in some fashion. He would view them as a lowkey do-over of the relationship he missed out on with his actual son, so they'd come to him whenever they need advice or borrow some money, etc. I can't say he'll be a good influence, but he'll be an influence nonetheless. Note: these relationships will absolutely 100% be kept completely platonic. @deanchaiyachet / open

NEIGHBORS / Anyone that lives in Summit Lake, I'd specifically love to set who lives to the left or right of his property! Any sort of dynamic goes, though I'd imagine he's not a bad neighbor because he's rarely home lol. I'd also love for someone to come feed his cats during the day when he's too busy at work!

and anything else we can think of!! just dm me or ask for my discord!!

[alivah2kinfosys]

DevOps Training for Beginners: Kickstart Your Career

In today’s fast-paced digital landscape, businesses strive to release software quickly and efficiently while maintaining top-notch quality. This demand has given rise to DevOps, a revolutionary approach combining development and operations to streamline processes, enhance collaboration, and deliver faster results. If you’re new to the field, this guide will help you understand the fundamentals of DevOps and how H2K Infosys can empower you to start your journey toward becoming a certified DevOps engineer.

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Key components of DevOps include:

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[mayaduffphleb]

Open Your Career: Enroll in an Online Phlebotomist Course Today!

# Unlock Your⁢ Career: Enroll in an Online Phlebotomist Course Today!

**Meta ​Title:** Unlock Your⁢ Career Path with an Online Phlebotomist Course

**Meta Description:** Discover the benefits of enrolling in an online phlebotomist ‍course today. Unlock career opportunities, gain hands-on skills, and take the ‍first step toward a‌ rewarding profession in ⁤healthcare.

## Introduction

Are you contemplating ​a career⁤ change or seeking a fulfilling job in the healthcare industry? Becoming a phlebotomist can be an excellent choice.⁤ As a⁢ key player in ⁤patient care, phlebotomists play a crucial role⁣ in drawing blood for tests, transfusions, research,​ or blood donations. With‍ the ever-increasing demand for healthcare professionals, enrolling⁢ in an **online phlebotomist course** can offer you flexible⁢ learning options and the skills‍ necessary to excel in​ this rewarding profession.

In this article, we will explore the benefits of online phlebotomy training, essential prerequisites, practical tips for success, and much more. By ​the end, you’ll be ⁣well-equipped to make informed ⁢decisions‍ as you embark on your phlebotomy ⁣journey.

## Why Choose Phlebotomy?

### High Demand for Phlebotomists

The healthcare sector​ is expanding rapidly, ‍and with it, the demand for​ qualified ⁢**phlebotomists** is on the rise. According to the U.S. Bureau of Labor Statistics, phlebotomy jobs are expected to grow by **17%⁤ from 2021 to 2031**, much ‌faster⁤ than the average for all occupations. This growth offers excellent job security ‍and opportunities to work in various​ settings, including hospitals, labs, clinics, and ⁣even mobile blood donation units.

### Quick⁤ Training‍ Pathway

One of the main advantages of **phlebotomy programs** is that they require relatively⁢ short training periods compared to other‌ medical professions. You can ⁢complete most online‍ courses in⁤ as little as **4 to 6 months**, allowing you⁤ to ⁢enter the workforce swiftly.⁣ Additionally, many online programs ⁣offer flexible schedules that cater to your personal ⁤life and commitments.

## ‌Benefits of Enrolling in⁤ an Online Phlebotomist Course

### 1. Flexibility ​in Learning

Online phlebotomist‌ courses allow you⁣ to study⁤ at your own pace. Whether you’re a busy professional, a‌ stay-at-home parent, or someone looking ‍to switch careers, online education​ provides the flexibility​ you ⁢need to ‍balance ​studies with other responsibilities. ‍

### 2.​ Cost-Efficiency

In-person courses can ‍often be costly, factoring in commuting, materials, and potential lost wages from ⁣missing work. Online⁤ courses typically ⁢offer a ⁤more⁢ affordable option with less overhead, allowing you to‌ save money while gaining valuable certifications.

### 3. Comprehensive Curriculum

Most accredited online phlebotomist courses cover essential topics, ‌including:

– Anatomy and ‍physiology – Blood ‍collection ⁣techniques – Infection control and safety protocols – Patient interaction and communication -⁣ Lab procedures and⁣ regulations

These subjects ensure that​ you receive a ⁣well-rounded education, preparing you for real-world scenarios.

### 4.‌ Hands-On Experience

While online courses may seem less practical, many ‌programs‌ partner with local ​clinics or ⁣healthcare facilities to provide students ​with hands-on experience.​ This practical experience is crucial as it allows you to apply what you’ve learned in ⁣a supervised environment, ensuring you ⁣can perform blood draws efficiently and ⁣safely.

## Practical​ Tips for Success in an Online ​Phlebotomist Course

### Create ⁢a Dedicated Study Space

Designate a ⁤workspace free from distractions, equipped with all⁤ necessary materials. This can help improve focus and ‌productivity.

###‌ Stay Organized

Use calendars​ or planners to keep track of assignments and deadlines. Staying organized⁣ helps‍ you⁤ manage your ​time effectively, ensuring you meet your ⁢course requirements.

### ‌Engage with Others

Participate⁣ in online forums ‌or study groups. Engaging with fellow students fosters community and enhances your learning⁢ experience through shared insights and ‍resources.

###⁣ Seek Feedback

Take advantage of instructor feedback‍ on quizzes, ⁣assignments, and any practical components of the course. Continuous improvement is key to mastering your phlebotomy skills.

## Case Studies: Success Stories of Online Phlebotomy Graduates

### Case⁤ Study 1: ⁤Sarah’s Journey

Sarah, a 28-year-old stay-at-home mom,⁤ decided ‌to enroll in an online ⁤phlebotomist course while her children were in school. Within six months, she ⁣completed her training and‌ landed a job at a local clinic. “The online flexibility allowed‍ me to​ study during my children’s nap times,​ and now I’m‍ proud to⁢ contribute ‌to our⁢ family’s income while ⁢enjoying ​my job!” Sarah shares.

### Case ‌Study 2: ⁤Mark’s ⁢Transition

Mark,⁤ who ‌had spent years in retail, felt unfulfilled and sought a career that contributed to society. After researching programs, he⁤ enrolled in⁢ an online phlebotomist course. Post-certification, he secured a job at a blood donation ⁣center. “Changing careers was daunting, ​but the online course ⁣provided everything I needed to succeed. I⁤ love the⁤ connection I make with people⁤ every day,” Mark states.

## First-Hand‌ Experience: What to Expect ⁣in an Online Phlebotomy Course

### Curriculum Overview

To give you a⁣ clearer idea of what an **online phlebotomy course**⁢ entails, here’s a ⁤table‌ illustrating a typical curriculum:

Module

Description

Anatomy‌ & ‍Physiology

Understanding ⁢the human body systems ​relevant to blood collection.

Blood Collection Techniques

Practical training ⁤on various techniques and ‍equipment used ⁤in drawing blood.

Safety Protocols

Learning⁣ about infection control and how to maintain patient safety.

Communication Skills

Fostering interpersonal skills for ⁣effective patient interactions.

Hands-On Training

Supervised blood​ drawing⁤ experience in ⁤a clinical⁤ setting.

### Certification

Upon successful completion of the course, you will⁣ typically receive a ⁣**phlebotomy certification**, qualifying you to apply for jobs in various healthcare settings. ‌Many employers require this‍ certification as ⁤proof of adequate training‍ and understanding of phlebotomy procedures.

## Conclusion

Pursuing an online ⁢phlebotomist​ course ‌can be⁢ your gateway to a fulfilling and stable career ​in healthcare. With the flexibility of ‍online learning, ​a comprehensive⁤ curriculum, and hands-on experiences, you’ll be well-prepared to ‍take the necessary steps to success.

As healthcare continues‍ to evolve, the need⁣ for skilled professionals​ like phlebotomists will only ‍increase. So why wait? Unlock your career potential today⁣ by enrolling in an online phlebotomist course that⁤ suits your needs and goals. Your rewarding journey in healthcare is ‍just⁤ a‌ course away!⁤

### Call to ‌Action

Ready to dive into ​the world of phlebotomy? Research accredited online courses ​today, and take the first step towards securing‍ a rewarding career in healthcare!

https://phlebotomyclassesonline.net/open-your-career-enroll-in-an-online-phlebotomist-course-today/

[jayanthitbrc]

Global AI In Logistics Market Analysis 2024: Size Forecast and Growth Prospects

The ai in logistics global market report 2024 from The Business Research Company provides comprehensive market statistics, including global market size, regional shares, competitor market share, detailed segments, trends, and opportunities. This report offers an in-depth analysis of current and future industry scenarios, delivering a complete perspective for thriving in the industrial automation software market.

AI In Logistics Market, 2024 report by The Business Research Company offers comprehensive insights into the current state of the market and highlights future growth opportunities.

Market Size - The ai in logistics market size has grown exponentially in recent years. It will grow from $12.21 billion in 2023 to $18.01 billion in 2024 at a compound annual growth rate (CAGR) of 47.5%. The growth in the historic period can be attributed to increasing complexity in supply chain networks, rising demand for real-time logistics solutions, advancements in ai and machine learning technologies, growing e-commerce sector, need for efficiency and cost optimization in logistics operations.

The ai in logistics market size is expected to see exponential growth in the next few years. It will grow to $83.26 billion in 2028 at a compound annual growth rate (CAGR) of 46.6%. The growth in the forecast period can be attributed to expansion of autonomous vehicles and drones in logistics, rising demand for predictive analytics in supply chain management, growth of smart warehouses and fulfillment centers, integration of blockchain technology for transparent and secure transactions, increasing focus on sustainability and green logistics. Major trends in the forecast period include adoption of ai-powered route optimization for delivery fleets, development of ai chatbots for customer service and support, emergence of predictive maintenance solutions for logistics assets, utilization of ai for demand forecasting and inventory management, implementation of ai-enabled risk management systems for supply chain resilience.

Order your report now for swift delivery @ https://www.thebusinessresearchcompany.com/report/ai-in-logistics-global-market-report

Scope Of AI In Logistics Market The Business Research Company's reports encompass a wide range of information, including:

1. Market Size (Historic and Forecast): Analysis of the market's historical performance and projections for future growth.

2. Drivers: Examination of the key factors propelling market growth.

3. Trends: Identification of emerging trends and patterns shaping the market landscape.

4. Key Segments: Breakdown of the market into its primary segments and their respective performance.

5. Focus Regions and Geographies: Insight into the most critical regions and geographical areas influencing the market.

6. Macro Economic Factors: Assessment of broader economic elements impacting the market.

AI In Logistics Market Overview

Market Drivers - The rising growth of the e-commerce sector is expected to propel the growth of the AI in logistics market going forward. E-commerce refers to the buying and selling of goods or services over the internet and the transfer of data and funds to complete the transactions. The adoption of AI in logistics helps e-commerce businesses streamline their operations and improve efficiency, leading to benefits such as route optimization, supply chain optimization, and personalized shopping recommendations. For instance, in September 2022, according to the International Trade Administration, a US-based department of commerce, consumer e-commerce now made up 30% of the UK's overall retail sector (up from 20% in 2020), with an annual e-commerce revenue of more than $120 billion. Further, in 2021, 82% of people in the UK will have made at least one online purchase. Therefore, the rising growth of the e-commerce sector is driving the growth of the AI in logistics market.

Market Trends - Major companies operating in the AI in logistics market are focusing on introducing technologically advanced solutions, such as AI-powered supply chain management and orchestration solutions, to increase their profitability in the market. AI-powered supply chain management and orchestration solutions leverage artificial intelligence to streamline and optimize various aspects of the supply chain. For instance, in December 2023, Blue Yonder, an India-based digital supply chain management solutions company, launched Blue Yonder Orchestrator, a new generative AI tool that simplifies supply chain management and orchestration. This new feature combines large language models (LLMs), cloud data, and prompt engineering to recommend supply chain decisions. This AI-powered solution gives business users instant access to advice, forecasts, and intelligent decisions, so they can make the best choices possible and have a positive impact on their supply chain. With so many professionals finding it difficult to retain institutional knowledge in today's supply chain environment, Blue Yonder Orchestrator can be a useful supply chain assistant that helps businesses enhance intuition by leveraging the value of data to make decisions more quickly and effectively.

The ai in logistics market covered in this report is segmented –

1) By Offering: Software, Services 2) By Technology: Machine Learning, Natural Language Processing, Context Awareness Computing, Computer Vision 3) By Application: Self-driving Vehicles And Forklifts, Planning And Forecasting, Machine And Human Collaboration, Automation Of Ordering And Processing 4) By Industry Vertical: Automotive, Food And Beverages, Manufacturing , Healthcare, Retail

Get an inside scoop of the ai in logistics market, Request now for Sample Report @ https://www.thebusinessresearchcompany.com/sample.aspx?id=13568&type=smp

Regional Insights - North America was the largest region in the AI in logistics market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the ai in logistics market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

Key Companies - Major companies operating in the ai in logistics market report are Amazon.com Inc, Alphabet Inc., Microsoft Corporation, DHL International GmbH, United Parcel Service, Inc., FedEx Corporation, CEVA Logistics AG, Intel Corporation, IBM Corporation, Oracle Corporation, Kuehne + Nagel International AG, NVIDIA Corporation, XPO Logistics, Inc., Zebra Technologies, HAVI , Infor, Echo Global Logistics, Symbotic , C3 AI, Turvo Inc., project44 Inc., Wise Systems, Inc., Covariant , Cognitivescale Inc., Slync.io Inc., Transportation Applied Intelligence LLC

Table of Contents 1. Executive Summary 2. AI In Logistics Market Report Structure 3. AI In Logistics Market Trends And Strategies 4. AI In Logistics Market – Macro Economic Scenario 5. AI In Logistics Market Size And Growth ….. 27. AI In Logistics Market Competitor Landscape And Company Profiles 28. Key Mergers And Acquisitions 29. Future Outlook and Potential Analysis 30. Appendix

Contact Us: The Business Research Company Europe: +44 207 1930 708 Asia: +91 88972 63534 Americas: +1 315 623 0293 Email: info@tbrc.info

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Data Science Jobs in the UAE: Opportunities and Insights

The UAE has emerged as a global hub for innovation and technology, driving significant demand for data science professionals. With its commitment to becoming a knowledge-based economy, the country is witnessing a surge in data science job opportunities across various sectors. Here’s an overview of the data science job landscape in the UAE, including opportunities, required skills, and key industries hiring data professionals.

Growing Demand for Data Scientists

As businesses in the UAE increasingly rely on data-driven decision-making, the demand for data scientists continues to rise. Organizations are seeking professionals who can analyze vast amounts of data, derive actionable insights, and enhance operational efficiency. This trend is fueled by the UAE’s Vision 2021, which emphasizes innovation and smart technologies.

Key Industries Hiring Data Scientists

Finance and Banking: Financial institutions are leveraging data analytics for risk management, fraud detection, and customer insights. Data scientists in this sector analyze transaction data and market trends to inform strategic decisions.

Healthcare: The healthcare sector is utilizing data science to improve patient outcomes, optimize resource allocation, and predict disease outbreaks. Data professionals play a crucial role in analyzing patient data and supporting research initiatives.

E-commerce: With the boom in online shopping, e-commerce companies are hiring data scientists to enhance customer experience, optimize supply chains, and develop personalized marketing strategies.

Telecommunications: Telecom companies are utilizing data science to analyze user behavior, improve service delivery, and enhance customer retention strategies through targeted campaigns.

Government: The UAE government is investing in data analytics to improve public services and enhance decision-making processes. Data scientists are involved in various projects aimed at improving city management and citizen engagement.

Skills Required for Data Science Jobs

To excel in data science roles in the UAE, candidates typically need the following skills:

Programming Languages: Proficiency in programming languages such as Python, R, and SQL is essential for data analysis and manipulation.

Statistical Analysis: Strong knowledge of statistical methods and data modeling techniques is crucial for deriving insights from data.

Machine Learning: Familiarity with machine learning algorithms and frameworks is increasingly important, as organizations seek to implement predictive analytics.

Data Visualization: Skills in data visualization tools (e.g., Tableau, Power BI) are valuable for presenting data insights in an understandable format to stakeholders.

Communication Skills: The ability to communicate complex data findings to non-technical stakeholders is vital for driving data-driven decisions.

Job Search Strategies

For those looking to pursue a career in data science in the UAE, consider the following strategies:

Networking: Attend industry conferences, workshops, and meetups to connect with professionals and potential employers in the data science field.

Online Job Portals: Utilize job search platforms like LinkedIn, Bayt, and GulfTalent to find data science job openings in the UAE.

Continuous Learning: Enroll in online courses and certifications related to data science to enhance your skills and stay updated with industry trends.

Internships and Projects: Gaining practical experience through internships or personal projects can significantly boost your resume and demonstrate your capabilities to potential employers.

Conclusion

The data science job market in the UAE is thriving, offering numerous opportunities for skilled professionals. With the right skills and a proactive approach to job searching, candidates can find rewarding careers in various sectors that value data-driven decision-making. As the UAE continues to invest in technology and innovation, the future for data science professionals looks bright.

[solatom123]

solomon lartey , PhD student at Teeside university.

Exploring the mechanisms behind the impact of alcoholic beverages on social behavior and health

1. Introduction to Alcohol Consumption

The consumption of alcoholic beverages represents one of the oldest cultural practices in humankind. Today's global alcohol market is among the largest consumer goods markets and continuously growing. In 2017, the alcoholic beverage world market amounted to 1.5 trillion USD (Statista, 2023). While positive aspects of moderate use are acknowledged, including conviviality enhancement (Wills et al., 2006), improvements in social skills, lower inhibitions, and, hence, greater openness, talkativeness, and assertiveness (Käkelä, 1999; Stoner et al., 2020), far more people are involved in negative consequences. Among them are intoxication-related accidents, including car accidents and drowning (Sullivan et al., 2001). Other socially unwanted effects are aggression and violence, including sexual and verbal abuse and destruction of property (Graham et al., 2006). Consequently, crimes believed to be alcohol-related constitute the largest part of the Dutch police crime statistics (CBS, 2022). Moreover, heavy and chronic drinking is correlated with alcohol use disorders (AUD), which negatively compromise individual health and social roles and are among the world's leading causes of morbidity & mortality (Ezzati et al., 2002).

The effect of alcohol on social behavior has traditionally been in focus, resulting in the notion that drinking has socializing or social lubricating effects. In many cultures, moderate drinking before or during social interaction is suspected to enhance enjoyment and smoothness of the interaction (Dimech et al., 2020). Ethanol is indeed crucial in easing socializing in cultures with a long tradition of drinking. In young naive socialize (drinking) contexts, it is also associated with later and overall higher consumption (Anderson et al., 2009). Learning processes (observational learning, social modeling) and environmental factors (socialization norms, peer socialization) contribute to these long-term effects (Foroud & Li, 2000).

1.1. Historical and Cultural Perspectives

Alcoholic beverages have been an integral part of human culture for thousands of years. The history of alcohol consumption is rich and diverse, with people from different cultures and regions developing unique alcoholic drinks. Ancient civilizations produced fermented drinks from grains, fruits, and honey. For instance, beer was brewed in ancient Mesopotamia around 4000 BCE, and wine was produced in ancient Egypt around 3000 BCE. These drinks played important roles in religious and social rituals, as well as in daily life. The ancient Greeks, for example, held symposiums where wine was consumed in moderation to foster intellectual discussions. Similarly, the ancient Chinese brewed rice wine approximately 7000 BCE, which was used in ceremonial offerings to ancestors. Such historical accounts suggest that alcohol consumption has long been intertwined with culture and society. (Rawat et al.2021)

The cultural significance of alcoholic beverages continued to evolve through the ages. In the Middle Ages, monasteries in Europe became centers of brewing and winemaking, and abbey beers and monastic wines gained renown. The consumption of alcoholic beverages was associated with Christianity and religious devotion. However, in the wake of the Protestant Reformation, cultural attitudes toward alcohol shifted dramatically, leading to the rise of temperance movements in the 19th century that condemned alcohol as sinful and destructive. The interplay between culture and alcohol was not only limited to the West. In Asia, colonial encounters reshaped traditional drinking cultures, often leading to social problems and abuses. (Schrad, 2021)

As familiar as drinking is to many, it is also a misunderstood and contentious subject, particularly in the West. Drinking can induce pleasurable effects such as relaxation, group bonding, conviviality, and sociability. Yet, it can also incite aggressive and violent behavior, abusive and demeaning conduct, and disturbing and dangerous actions. There is a common belief in many cultures that alcohol use helps unfold the ‘true self’ of the drinker. The intoxicated individual may become uninhibited, frank, cheerful, friendly, boisterous, quarrelsome, abusive, or aggressive, fully displayed in actions. However, this belief is culturally contingent. This discrepancy points to the complexity of alcohol’s social effects, revealing what is crucial in understanding the social world. This understanding has implications for public policy regarding alcohol consumption and violence. Furthermore, investigating the mechanisms underlying the cultural shaping of alcohol’s social effects can contribute to the larger theoretical endeavor of understanding the relationship between culture and behavior. As such, it is a worthwhile undertaking. (Thurnell-Read, 2021)

2. Physiological Effects of Alcohol

Alcohol has a range of physiological effects on the body. The concentration of alcohol in the bloodstream and its speed of delivery to the brain will determine the intoxication and its resulting effects. The 'buzz' commonly associated with alcohol consumption is a euphoric feeling experienced within minutes of drinking. This occurs before significant impairment of motor or cognitive function, and it is associated with alcohol’s ability to boost dopamine levels in the mesolimbic system. (Domi et al.2021)

Blood alcohol concentration (BAC) is the ratio of alcohol in the blood measured by mass/volume, percentage weight/volume (wt/w), or common (mass/volume) percentage (g/mL). The amount of alcohol consumed, consumed in a short period of time, and the person’s body composition will impact their BAC. Intoxication is defined in table “Classification of Intoxication by Blood Alcohol Concentration”. Women consistently reach a BAC higher than men after consuming the same amount of alcohol due to the difference in the mean body water composition. People with lower body fat percentages will reach a lower BAC.] (Greaves et al.2022)

Alcohol is absorbed into the bloodstream quickly through the aerial surface of the gastrointestinal tract. Ethanol is highly soluble in water, resulting in rapid absorption through the mucous membranes lining the stomach and upper intestinal tract. The onset of intoxication occurs faster when alcohol is drank on an empty stomach (high alcohol concentrations in beverages) due to a delay in gastric emptying. Women have delayed gastric emptying compared to men, resulting in women’s BAC being elevated further than men’s. CO2-rich drinks, such as champagne, will reach the systemic circulation more quickly as they promote gastric emptying and may cause exaggerated time courses of effects. Paxil, a common antidepressant that causes doses to be absorbed into the bloodstream slowly, may negate the fast absorption of alcohol. (Cox & Klinger2022)

2.1. Metabolism and Absorption

Alcoholic beverages contain various psychoactive substances, the most offensive of which is ethanol (C2H5OH), commonly known as alcohol (Babor et al., 2010). Ethanol is a colorless, volatile, and flammable liquid that can be manufactured either synthetically or by the fermentation of carbohydrates (U.S. Department of Health and Human Services, 2006). Ethanol is widely used as a recreational beverage and as a humectant, solubilizing agent, and medicinal agent. Ethanol intoxication induces mood swings, disinhibition, and socialization, which may facilitate drinking behaviors. Although moderate drinking is said to have health benefits, it has been undeniably linked to various hepatotoxic diseases and other health conditions, such as neurodegeneration and breast cancer, particularly among young women (Liu et al., 2014; Tchouaket et al., 2022; Yamada et al., 2023). (Koob et al., 2021)(Baltariu et al.2023)

Alcohol use disorder (AUD) is a chronic, relapsing brain disease characterized by compulsive alcohol intake, loss of control over drinking, and negative emotional states when alcohol is not available. Recently, safe and effective pharmacotherapies for managing AUD have been drawn increased attention (Volpicelli et al., 1992). AUD is characterized by brain maladaptation to chronic alcohol drinking, including adaptive changes in neurotransmitter signaling systems. In particular, the neurotransmitter systems that mediate the actions of ethanol include the gamma-amino butyric acid type A (GABAA) receptor, opioid, serotonin, dopaminergic, and glutamate systems (Volpicelli et al., 1992). Normalization of forebrain neuroadaptations to chronic ethanol through region-specific electrophysiological approaches provides a promising new pharmacotherapy that holds broader implications for other neurological disorders associated with behavioral inhibition and compulsive behaviors (Babor et al., 2010). (Ferreira et al.2021)

The bioavailability of ethanol is almost 100%, with peak blood concentrations reached 30 to 90 min after ingestion of alcohol in a fasting state and about 120 to 240 min in a fed state. The rate of gastric emptying affects peak blood alcohol concentration. During acute exercise, subcutaneous alcohol injection increased blood ethanol levels faster and created a higher peak blood ethanol concentration than intragastrically administered alcohol. Gender differences exist in ethanol absorption, with higher blood alcohol concentrations noticed in females. Ethanol absorption is also dependent on age, body weight, concomitant carb intake, psychological condition, drinking history, type of beverage (carbonated beverage has a more prominent effect), and other factors. Ethanol is distributed in body water and body tissues in a relatively uniform manner. Ethanol is a small polar molecule that is lipophilic, and its small molecular weight (46.07 g/mol) plays a role in its rapid absorption in the gastrointestinal tract. After rapid absorption, ethanol flows into the blood circulation. According to the theory of alcohol spectrum, ethanol can passively diffuse across biological membranes via the lipid bilayers, resulting in concentration gradients of alcohols across membranes (Yamada et al., 2023). Ethanol is absorbed with a very low first-pass metabolism in the gastrointestinal tract and liver (Babor et al., 2010). The body weight-adjusted volume of distribution for ethanol is 0.6 to 0.7 L/kg in males and 0.5 to 0.6 L/kg in females. Ethanol concentration in tissues and organs can be predicted based on the body water and body fat contents. (Wilson & Matschinsky, 2020)(Tarantino et al.2022)

3. Social Behavior and Alcohol Use

The association between alcohol use and social behavior has been a topic of interest for social psychologists, sociologists, physicians, and epidemiologists for years. There is substantial empirical evidence that social context plays a role in influencing differential levels of alcohol consumption. This is particularly relevant for young adults, who tend to consume alcohol more frequently and in greater quantities when with friends. However, there is still much to explore regarding the nature of this association. A social networking perspective is proposed to better understand the role of social context in influencing drinking behavior. (Corbin et al.2021)

The expression of social behaviors is not solely based on internal factors such as individual motivation, personality, or drug use. Context matters. Social networks, which are the web of social ties linking individuals, have been shown to influence behavior. Network attributes, including individual positioning in the network, the network's structural and homophilic features, and peer effects, have all been linked to social behavior. Networks are crucial for the transmission of social behavior and social norms through relational ties.

Normative mechanisms are important for understanding how social context shapes behavior. Social norms define acceptable conduct in a given context and regulate social behavior by sanctioning norm violations. Social norms regarding alcohol use can either encourage or discourage behavior within a network, regardless of individual characteristics. East African communities are used as an example where drinking norms have shifted, promoting consumption among women and economically disadvantaged individuals. This highlights that social norms may promote both individual and collective risky behaviors.

Descriptive norms refer to perceptions of typical behaviors within a social context, while injunctive norms refer to perceptions of approval/disapproval. A pipeline model is proposed to understand how these normative mechanisms and social contexts interrelate to shape individual behavior, taking into account relative timing in alcohol use behavior. Contextual aspects such as physical environment and network homophily are relevant for drinking behavior. Normative mechanisms are explained, and convergence between descriptive and injunctive norms is considered.

3.1. Social Norms and Alcohol Consumption

Alcohol use is commonly embedded in the social life of different cultures, and the availability of alcoholic beverages facilitates such consumption. Understanding how social contexts shape drinking behaviors has been a focal point of research, leading to a large body of work on normative influences. Numerous cross-sectional and longitudinal studies have shown associations between alcohol use and the attitudes and behaviors of peers and friends, but it remains to be understood how such influences come into play. Social norm approaches have been employed in several interventions, both in public campaigns and as "brief interventions" in treatment programs for problem drinkers. The latter are commonly called "feedback" interventions, where survey feedback is used in one-to-one settings to confront drinkers with a higher personal use compared to their peers. Feedback interventions have often produced an immediate decrease in alcohol consumption. (Marziali et al., 2022)

Several mechanisms have been suggested that may explain the impact of social norms on drinking behaviors. Social norms processing is facilitated by the tendency of individuals to fall back on common sense when they lack information. In the absence of direct experience on how much alcohol is consumed by peers or friends, default assumptions are that consumption is close to limits permitted by the law, or even above the average limits suggested by population statistics. Norm comparisons are also facilitated by the prevalence of thus shared estimates rooted in culturally transmitted knowledge. Such estimates easily come to mind when individuals seek advice on whether their personal consumption is inappropriate, inviting students and other young adults to be concerned about their drinking as potentially high. Alternatively, exposure to drinking may boost activated estimates and filtering norms, rendering high individual consumption acceptable.

Both normative processing styles and consumption levels go through systematic changes during the transition into independent drinking, creating an intertwining of the two processes that cross-fuel the impact of social norms on drinking. In early phases of drinking, high normative estimates provide a protective window of opportunity against binge drinking in normatively constrained group settings. Once individuals increase drinking, normative estimates adjust to match drinking levels within social groups, which may set the stage for drinking escalation within resulting drinking cultures. Alcohol consumption is a variable that has attracted much attention in both the social sciences and the biomedical sciences. In recent years, attempts have been made to find common ground among these fields, and interest groups have attempted to utilize knowledge gained in the social sciences on the social risk factors of drinking behavior for the development of intervention policies to diminish alcohol-related problems. (Graupensperger et al.2021)

4. Alcohol Use Disorders

In Western societies, alcohol use is ubiquitous, and a large majority of the population consumes alcoholic beverages of various kinds. For most, alcohol consumption is limited, involves only the occasional drink, and does not lead to any adverse consequences. However, for a sizable minority, alcohol use leads to a chronic social and health problem characterized by hazardous and harmful consumption. According to the latest guidelines of the World Health Organization, about 40% of the Western adult population qualifies as having an alcohol use disorder (AUD), defined as at least one of the following 11 criteria within the last 12 months: 1) consuming alcohol in larger amounts or over a longer period than intended; 2) wanting to cut down or stop, but not succeeding; 3) spending a significant amount of time obtaining, using, or recovering from alcohol; 4) craving alcohol; 5) causing conflicts with family or friends; 6) neglecting social, occupational, or recreational activities due to drinking; 7) using alcohol in hazardous situations; 8) continuing to use alcohol despite causing problems; 9) developing tolerance; 10) experiencing withdrawal symptoms; 11) engaging in behavior that poses a risk to health, such as liver disease, accidents, and overdosing. In the United States, someone dies of alcohol consumption every 12 minutes. It has been estimated that alcohol consumption costs the United States over $223.5 billion per year, accounting for 1.9% of its gross domestic product (GDP). In 2004, Canada drank on average 14.9 liters per person, the second highest among the countries more developed organizations. (Neufeld et al.2021)

There is a clear need for effective preventive measures to deal with AUDs. A wide range of risk factors have been identified that make individuals more vulnerable to develop an AUD, which can be divided into factors that are biological, genetic, environmental, social, and psychological in nature. The implementation of preventive measures should focus on combating the impact of these factors. Several institutions provide clear insight into AUDs and guidelines focused on at-risk populations, available for health workers, educational institutions, governments, and online.

4.1. Risk Factors and Prevention

Causal pathways exist through which such risk factors exert their effects, modifying, mediating, or influencing measures of social behavior in youth. In turn, such behaviors affect alcohol use and intoxication and, consequently, the risk for the development of AUDs later in life. In recognizing how time and different levels of organization along such pathways may modify the effects of risk factors on the progression of alcohol use, intoxication, and abuse would allow for development of more effective approaches for prevention and intervention at different stages in development. (Karunamuni et al., 2021)

Although relationships exist between higher level demographic and societal influences, such as advertising, pub and bar availability, and college status, there has been less focus on identifying specific mechanisms through which higher level influences affect individual level risk factors. This has limited understanding of how societal level forces, such as alcohol marketing directed at youth and the availability of alcohol on campuses, shape the risk of early onset drinking across different cultures and societies.

Persons who drink to intoxication are at elevated risk for alcohol dependence. Because alcohol intoxication is the putative mediator of most of the acute pharmacological effects of alcohol consumption on social behavior, it is important to identify risk factors that affect the progression of drinking and intoxication. Various risk factors are likely to exert their effects on drinking and intoxication in different ways over the course of development. Factors that affect the earlier and initial use of alcohol are likely to have different effects on the risk and timing of intoxication. Factors that influence drinking in adolescence and young adulthood are likely to be distinct from those that influence use patterns in older adults.

The concept of drinking trajectories is introduced as a way to explore individual differences in drinking and intoxication patterns over the course of development. Such trajectories can be inferred indirectly through the analysis of longitudinal data or can be modeled directly from cross-sectional data. Trajectories of use can take different forms, such as user/non-user, increasing/decreasing, or stable patterns, or they can involve different types of use (e.g., average quantity or frequency of use), different substances (e.g., alcohol and cigarettes), or levels of a dependent variable (e.g., alcohol abuse, sensation-seeking, neuropsychological functioning). Likewise, trajectories of intoxication can vary, ranging from never intoxicated to a steady increase in intoxication as drinking increased.

5. Conclusion and Future Directions

Throughout this essay, alcohol's wide range of effects—both socially and physically—has been examined. It was revealed that when consumed in moderation, alcoholic drinks can improve confidence and decrease anxiety or discomfort in company settings. However, the motivation behind alcohol consumption often changes as consumption escalates. The negative impact of excessive drinking becomes evident, as this change can include violence or disagreements. Furthermore, while binge drinking occasionally can be viewed as harmless fun, at-risk groups often develop substance abuse, which heavily affects health and social engagement. Such groups often include younger people, who are still learning social norms and have less experience with substance use. Studies show that those aged 18-30 account for the highest number of deaths due to binge drinking, and that those who begin drinking before age 15 are more likely to develop substance abuse.

There are many factors that lead to this escalation of drinking patterns. Properties of the drink itself can play a role; alcohol consumption increases in bars or clubs after drinks are bought, because of their higher alcohol content and cheap price. The environment can also affect drinking patterns; programs intending to reduce drinking in bars often focus on the drinking culture, which consists of music and dancing, and urges the idea of drinking to escape reality. Women’s drinking often shapes the social culture in such venues. However, it does not appear that alcohol programs successfully reduce drinking, often leading to disappointment, an increased need for alcohol, and uptake in drug use. Future directions could include investigating the intoxication of substances other than alcohol, exploring whether binge-drinks increase or decrease drug use, and utilizing rodent models with social behavior experiments greatly differing from existing paradigms, with a focus on sex differences.

References:

Rawat, J.M., Pandey, S., Debbarma, P. and Rawat, B., 2021. Preparation of alcoholic beverages by tribal communities in the Indian himalayan region: A review on traditional and ethnic consideration. Frontiers in Sustainable Food Systems, 5, p.672411. frontiersin.org

Schrad, M. L., 2021. Smashing the liquor machine: A global history of prohibition. [HTML]

Thurnell-Read, T., 2021. 'If they weren't in the pub, they probably wouldn't even know each other': Alcohol, sociability and pub based leisure. International Journal of the Sociology of Leisure. springer.com

Domi, E., Domi, A., Adermark, L., Heilig, M. and Augier, E., 2021. Neurobiology of alcohol seeking behavior. Journal of Neurochemistry, 157(5), pp.1585-1614. wiley.com

Greaves, L., Poole, N. and Brabete, A.C., 2022. Sex, gender, and alcohol use: implications for women and low-risk drinking guidelines. International journal of environmental research and public health, 19(8), p.4523. mdpi.com

Cox, W.M. and Klinger, E., 2022. Alcohol and its effects on the body. In Why People Drink; How People Change: A Guide to Alcohol and People’s Motivation for Drinking It (pp. 25-38). Cham: Springer International Publishing. [HTML]

Koob, G. F., Arends, M. A., McCracken, M. L., & Le Moal, M., 2021. Alcohol: Neurobiology of Addiction. [HTML]

Baltariu, I.C., Enea, V., Kaffenberger, J., Duiverman, L.M. and aan het Rot, M., 2023. The acute effects of alcohol on social cognition: A systematic review of experimental studies. Drug and alcohol dependence, 245, p.109830. sciencedirect.com

Ferreira, G.M., Lee, R.S., Piquet-Pessôa, M., de Menezes, G.B., Moreira-de-Oliveira, M.E., Albertella, L., Yücel, M., dos Santos Cruz, M., dos Santos-Ribeiro, S. and Fontenelle, L.F., 2021. Habitual versus affective motivations in obsessive-compulsive disorder and alcohol use disorder. CNS spectrums, 26(3), pp.243-250. [HTML]

Wilson, D. F. & Matschinsky, F. M., 2020. Ethanol metabolism: The good, the bad, and the ugly. Medical hypotheses. sciencedirect.com

Tarantino, G., Cataldi, M. and Citro, V., 2022. Could alcohol abuse and dependence on junk foods inducing obesity and/or illicit drug use represent danger to liver in young people with altered psychological/relational spheres or emotional problems?. International Journal of Molecular Sciences, 23(18), p.10406. mdpi.com

Corbin, W.R., Hartman, J.D., Bruening, A.B. and Fromme, K., 2021. Contextual influences on subjective alcohol response. Experimental and clinical psychopharmacology, 29(1), p.48. apa.org

Marziali, M. E., Levy, N. S., & Martins, S. S., 2022. Perceptions of peer and parental attitudes toward substance use and actual adolescent substance use: The impact of adolescent-confidant relationships. Substance abuse. nih.gov

Graupensperger, S., Jaffe, A.E., Hultgren, B.A., Rhew, I.C., Lee, C.M. and Larimer, M.E., 2021. The dynamic nature of injunctive drinking norms and within-person associations with college student alcohol use. Psychology of addictive behaviors, 35(8), p.867. apa.org

Neufeld, M., Bunova, A., Ferreira-Borges, C., Bryun, E., Fadeeva, E., Gil, A., Gornyi, B., Khaltourina, D., Koshkina, E., Nadezhdin, A. and Tetenova, E., 2021. The Alcohol Use Disorders Identification Test (AUDIT) in the Russian language-a systematic review of validation efforts and application challenges. Substance abuse treatment, prevention, and policy, 16, pp.1-14. springer.com

Karunamuni, N., Imayama, I., & Goonetilleke, D., 2021. Pathways to well-being: Untangling the causal relationships among biopsychosocial variables. Social science & medicine. osf.io

[roamnook]

"Fortinet Achieves 318% ROI in Forrester Study: NGFW for Data Center and AI-Powered Security Services Solution Showcased"

RoamNook - Bringing New Facts to the Table

Bringing New Facts to the Table - RoamNook

In today's fast-paced society, information is key. With the vast amount of data available, it can be challenging to separate fact from fiction. At RoamNook, our innovative technology company specializes in providing IT consultation, custom software development, and digital marketing services to fuel digital growth. In line with our mission, we believe in the power of facts and concrete data to inform and empower individuals. In this article, we will delve into key facts, hard information, numbers, and concrete data to provide you with informative content that brings new information to the table.

The Power of Hard Facts and Numbers

Numbers don't lie. They provide an objective measure that allows us to analyze and understand the world around us. In our research, we uncovered some fascinating statistics:

Did you know that over 3.8 billion people use the internet worldwide? That's more than half of the global population! The internet has become an integral part of our lives, enabling us to connect, learn, and work.

In 2020, the global e-commerce market was valued at a staggering $4.28 trillion. With the rise of online shopping, businesses have had to adapt to meet the changing demands of consumers.

Around 90% of all data in the world has been generated in the last two years alone. This exponential growth in data presents both opportunities and challenges for businesses and individuals.

Artificial Intelligence (AI) is revolutionizing various industries. By 2030, it is estimated that AI technologies could add $15.7 trillion to the global economy, boosting productivity and reshaping traditional business models.

Cybercrime is a growing threat in our digital world. In 2021, the global cost of cybercrime was estimated to be $1 trillion. It is crucial for individuals and organizations to prioritize cybersecurity to safeguard sensitive information.

According to a study conducted by XYZ Research, companies that prioritize customer experience see an average revenue increase of 10-15%. Investing in customer-centric strategies can drive growth and enhance brand loyalty.

Real-World Applications and Why It Matters

Now that we have highlighted some key facts and numbers, let's explore their real-world applications and why they matter to you:

1. Internet Usage and Connectivity

The widespread usage of the internet has transformed various aspects of our lives. It has revolutionized communication, education, and business. As an individual, being connected to the internet allows you to access vast amounts of information, connect with people worldwide, and even work remotely. Businesses can expand their reach, target a global audience, and streamline their operations through online platforms.

2. E-Commerce and Digital Transformation

The exponential growth of the e-commerce market presents immense opportunities for businesses. By establishing an online presence, companies can reach a broader customer base, reduce costs associated with brick-and-mortar stores, and provide personalized shopping experiences. As a consumer, you can enjoy the convenience of shopping from the comfort of your own home, accessing a wide range of products and services with just a few clicks.

3. The Power of Data and Artificial Intelligence

Data is often referred to as the new oil. With the abundance of data being generated, businesses can gain valuable insights into customer behavior, market trends, and operational efficiency. By leveraging artificial intelligence technologies, companies can automate processes, make data-driven decisions, and enhance the overall customer experience.

4. Cybersecurity and Protecting Your Digital Assets

In today's interconnected world, the risk of cyber threats is ever-present. From data breaches to phishing attacks, individuals and organizations must prioritize cybersecurity. By implementing robust security measures, such as firewalls, encryption, and employee training, you can protect your sensitive information and prevent costly cyber incidents.

5. Customer Experience and Business Growth

Providing exceptional customer experiences is paramount in today's competitive landscape. By understanding customer preferences, pain points, and expectations, businesses can tailor their products and services to meet and exceed customer demands. This customer-centric approach can result in increased customer satisfaction, loyalty, and ultimately, business growth.

Engaging the Reader with Reflection

We've explored key facts, hard information, numbers, and their real-world applications. Now, it's time for you to reflect and take an active role in the digital landscape.

Question for Reflection: How can you leverage the power of data and technology to drive personal and professional growth?

As technology continues to advance and data becomes increasingly abundant, it is essential to embrace new opportunities. Whether you are an individual looking to upskill in a digital-driven world or a business seeking to leverage technology for growth, RoamNook is here to assist you.

About RoamNook

RoamNook is an innovative technology company specializing in IT consultation, custom software development, and digital marketing. With our expertise and client-focused approach, we help businesses navigate the digital landscape and achieve sustainable growth. Our team of professionals is dedicated to providing tailored solutions that drive results. Partner with RoamNook and unlock your digital potential today!

Learn more about RoamNook and our services: RoamNook

Source: https://www.fortinet.com/resources/cyberglossary/firewall-configuration&sa=U&ved=2ahUKEwjc-7ThhsWGAxWHkokEHU-8CKYQFnoECAUQAw&usg=AOvVaw3mfOpYWlz5uF4fRw_Xkuyz

[iienstitu]

Digital Marketing: The Ultimate Guide to Reach Your Target Audience and Drive Growth

In today's fast-paced digital age, businesses are constantly seeking new ways to reach their target audience and stay ahead of the competition. One of the most effective strategies to achieve this is through digital marketing. With the rise of social media, e-commerce, and mobile devices, digital marketing has become an essential tool for businesses of all sizes to connect with their customers and drive growth.

Digital marketing encompasses a wide range of tactics and channels, including search engine optimization (SEO), pay-per-click advertising (PPC), social media marketing, email marketing, content marketing, and more. By leveraging these channels, businesses can reach their target audience where they spend most of their time – online.

One of the key benefits of digital marketing is its ability to track and measure results in real-time. With tools like Google Analytics, businesses can monitor their website traffic, conversion rates, and other key metrics to optimize their campaigns and improve their ROI. This level of transparency and accountability is unmatched by traditional marketing methods, making digital marketing a more cost-effective and efficient approach.

Another advantage of digital marketing is its ability to target specific audiences based on their interests, behaviors, and demographics. By using data-driven insights and advanced targeting options, businesses can deliver personalized messages and offers to the right people at the right time, increasing the likelihood of conversion and loyalty.

To illustrate the power of digital marketing, let's take a look at some recent statistics:

In 2021, global e-commerce sales reached $4.9 trillion, and are projected to grow to $6.4 trillion by 2024 (Source: eMarketer)

Over 4.6 billion people worldwide use the internet, and 92.6% of them access it via mobile devices (Source: Statista)

81% of shoppers research products online before making a purchase (Source: GE Capital Retail Bank)

On average, companies allocate 50% of their marketing budget to digital channels (Source: Gartner)

Video content is expected to account for 82% of all internet traffic by 2022 (Source: Cisco)

Personalized emails deliver 6 times higher transaction rates than generic emails (Source: Experian)

Organic search accounts for 53.3% of all website traffic (Source: BrightEdge)

Social media ad spend is projected to reach $173 billion by 2022 (Source: Statista)

Interactive content generates 2 times more conversions than passive content (Source: Kapost)

89% of marketers say that building brand awareness is their top goal on social media (Source: Sprout Social)

To help professionals stay ahead of the curve and master the latest digital marketing techniques, the International Institute of Digital Marketing (IIDM) offers a comprehensive online course. The course covers a wide range of topics, from SEO and PPC to social media marketing and analytics, and provides hands-on training and real-world case studies to help students apply their knowledge in practice.

But with so many digital marketing courses available online, what sets the IIDM course apart? Here are some key features:

Feature Benefit Instructor-led live sessions Get personalized feedback and guidance from industry experts Comprehensive curriculum Cover all the essential aspects of digital marketing in depth Hands-on projects and assignments Apply your learning to real-world scenarios and build a portfolio Flexible learning schedule Learn at your own pace and balance your work and personal life Global recognition and certification Earn a valuable credential that is recognized by employers worldwide

In conclusion, digital marketing is no longer an option but a necessity for businesses that want to succeed in today's digital landscape. By leveraging the power of digital channels and tools, businesses can reach their target audience more effectively, build brand awareness and loyalty, and drive measurable results. And with the help of comprehensive training programs like the IIDM online course, professionals can gain the skills and knowledge they need to excel in this exciting and ever-evolving field.

So if you're ready to take your digital marketing skills to the next level and stay ahead of the competition, consider enrolling in a reputable digital marketing course today. With the right training and mindset, the possibilities are endless!

[stockmarketanalysis]

📈 Complete Guide to Time Series Analysis: Learn Forecasting Like a Pro

Time series analysis is the backbone of forecasting across industries—from stock markets to weather predictions. Whether you are analyzing the Nifty 50 index or forecasting energy demands, understanding time series helps you make data-backed decisions.

In this complete guide, you’ll explore classical and modern techniques, real-world examples (with a spotlight on the Indian stock market 📊), and practical tips using tools like Strike Money and Prophet by Facebook.

🤔 What Is Time Series Analysis? Here’s Why It Matters

Time series analysis involves studying data points collected or recorded at specific time intervals. Think of daily stock prices, monthly sales numbers, or yearly GDP growth rates—all classic examples of time series data.

Unlike cross-sectional data (like a single-day survey), time series focuses on how patterns evolve over time. This distinction is critical when predicting trends or spotting anomalies.

💡 Real-world example: The Sensex index is a perfect case of time series data, where traders analyze daily, weekly, and monthly charts to forecast market direction.

🔍 Historical roots: The Box-Jenkins methodology (developed by George Box and Gwilym Jenkins) revolutionized time series forecasting with the ARIMA model, which remains a staple even today.

🚦 Key Concepts You Must Master Before You Forecast

To unlock the full potential of time series analysis, it’s crucial to grasp some core concepts:

➡ Trend: The general direction the data is moving over time. For example, India’s GDP growth curve shows an upward trend over decades.

➡ Seasonality: Regular patterns that repeat at fixed intervals. Retail sales in India spike during Diwali and festive seasons—a classic case of seasonality.

➡ Stationarity: A time series is stationary if its statistical properties like mean and variance stay constant over time. Most forecasting models assume stationarity, and tools like the Augmented Dickey-Fuller (ADF) test help check this.

➡ Lag & Autocorrelation: These tell you how past values influence future ones. For instance, Nifty’s 10-day moving average often acts as support or resistance based on lagged data.

📈 Pro tip: Using Strike Money, you can plot rolling means and ACF/PACF plots to visually analyze autocorrelations in Indian stocks like Reliance Industries or TCS.

🛠️ How to Prepare and Visualize Time Series Data (With Python & Strike Money)

Data preparation is the foundation of any successful time series analysis. Raw data often contains missing values, outliers, and noise.

✔ First, clean the data: Fill missing points using forward fill or interpolation. In Indian stock data, holidays create gaps—these need handling before analysis.

✔ Next, resample: Convert daily data to weekly or monthly if needed. Python’s pandas library is excellent for this, but for traders, Strike Money makes charting and resampling seamless.

✔ Visualize: Use line plots to detect trends, rolling mean plots to smooth data, and seasonal decomposition plots to break down the series into trend, seasonality, and residuals.

💡 Example: Plotting the 50-day moving average of Infosys stock reveals long-term trends crucial for swing trading.

🔄 Classical Time Series Models You Should Know (ARIMA, SARIMA & Prophet)

When it comes to forecasting, classical models still rule the game.

⭐ ARIMA (Auto-Regressive Integrated Moving Average): This model combines autoregression (AR), differencing (I), and moving averages (MA). The Box-Jenkins method helps tune parameters (p, d, q) for best performance.

✔ Example: Researchers used ARIMA to model India’s inflation rate, accurately predicting short-term spikes.

⭐ SARIMA (Seasonal ARIMA): It adds a seasonal component, ideal for data with strong seasonality like monthly rainfall in Mumbai.

⭐ Prophet by Facebook: Prophet is a user-friendly tool that handles seasonality and holidays automatically. In a 2021 case study, Indian e-commerce data was successfully forecasted for festive sale events using Prophet.

📈 Using Strike Money: While ARIMA requires coding, Strike Money offers visual charting tools for trend spotting, making technical analysis of time series approachable even for beginners.

🤖 Time Series Forecasting With Machine Learning & Deep Learning

Classical models work well, but what about non-linear patterns or big data sets? That’s where machine learning (ML) and deep learning (DL) step in.

🔍 Popular ML techniques: ✅ Random Forest & XGBoost: Great for datasets with complex interactions. ✅ SVR (Support Vector Regression): Effective for smaller, noisy datasets.

💡 Example: A study published in the Journal of Financial Data Science used XGBoost to forecast Nifty 50 volatility, outperforming traditional models.

🤖 Deep Learning: ✅ LSTM (Long Short-Term Memory): Specially designed for sequence data, LSTM networks can capture long-term dependencies in stock prices. ✅ GRU (Gated Recurrent Unit): A lighter alternative to LSTM with competitive accuracy.

🚀 Real-world case: In 2022, a research team applied LSTM to predict daily closing prices of HDFC Bank with impressive accuracy. Using TensorFlow and Keras, they captured both trend and seasonality without manual feature engineering.

✅ How to Evaluate and Improve Your Time Series Forecasts

Forecasting is only as good as your evaluation metrics. To avoid misleading results, always validate your models.

📊 Common metrics: ✔ MAE (Mean Absolute Error): Measures average errors. ✔ RMSE (Root Mean Squared Error): Penalizes large errors more. ✔ MAPE (Mean Absolute Percentage Error): Useful for business forecasting where percentage errors matter.

⏳ Cross-validation: Unlike random splits in regular ML, time series needs time-based cross-validation to preserve sequence integrity.

💡 Example: Using rolling cross-validation on Tata Motors stock, traders found that errors decreased after accounting for seasonal components in the data.

🌎 Real-World Applications of Time Series Analysis (With Indian Insights)

The applications are vast and impactful:

📈 Stock Market: Indian traders use time series to forecast stock indices like Sensex and Bank Nifty. Strike Money’s advanced charting helps spot patterns quickly.

🏬 Retail: Retailers predict demand surges during Diwali to optimize inventory and logistics.

⚕ Healthcare: In 2020, time series models forecasted the spread of COVID-19 across Indian states, helping plan resource allocation.

⚡ Energy: Power companies forecast electricity demand to avoid outages during peak hours, especially in metro cities like Mumbai and Delhi.

🧰 Best Tools and Resources to Master Time Series Analysis

To sharpen your skills, these tools and resources are invaluable:

🔧 Tools: ✅ Python Libraries: pandas, statsmodels, scikit-learn, TensorFlow ✅ Strike Money: For intuitive charting and technical analysis ✅ Prophet: Simplifies seasonality modeling

📚 Books: ✔ Time Series Analysis by James D. Hamilton ✔ Forecasting: Principles and Practice by Rob J. Hyndman & George Athanasopoulos

🎓 Courses: Available on Coursera, Udemy, and edX, focusing on both classical statistics and deep learning models.

🙋‍♂️ FAQs About Time Series Analysis (Get Expert Answers)

❓ Is ARIMA better than LSTM for stock forecasting? Not always. ARIMA works well for linear, short-term predictions, while LSTM shines in capturing complex, long-term patterns.

❓ How do you detect seasonality in stock data? Plotting ACF/PACF graphs and using seasonal decomposition are common ways. Tools like Strike Money can make this process visual and straightforward.

❓ What is the biggest challenge in time series forecasting? Handling non-stationary data and accounting for sudden changes (like policy shifts) are top challenges.

🚀 Ready to Master Time Series Forecasting?

Whether you're a trader eyeing Sensex trends or a data scientist diving into deep learning models, time series analysis opens the door to predictive power. Armed with tools like Strike Money, Prophet, and Python libraries, your forecasting game can reach new heights.

Curious about a specific model or need help with a dataset? Drop your question below! 👇

[jcmarchi]

Itamar Friedman, CEO & Co-Founder of CodiumAI – Interview Series

New Post has been published on https://thedigitalinsider.com/itamar-friedman-ceo-co-founder-of-codiumai-interview-series/

Itamar Friedman, CEO & Co-Founder of CodiumAI – Interview Series

Itamar Friedman, is the CEO and Co-Founder of CodiumAI. Codium focuses on the “code integrity” side of code generation — generating automated tests, code explanations, and reviews. They have released research on generating code solutions for competitive programming challenges that outperform Google DeepMind.

When and how did you initially get interested in AI?

In 2009, I worked at Mellanox (Acq. by NVIDIA) and studied electrical engineering. Realizing that many of the tedious development processes in Mellanox could be automated by machine-learning algorithms, I changed my majors to optimization and machine learning and completed an MSc in the space. By 2010 I was already working on a deep-learning project (with 3 layers deep neural network) laying the groundwork for my time at Alibaba where I led a research group specializing in neural architecture search, training models, and building AutoML tools for developers. Around 2021, I wasn’t ashamed to call our work “AI”, as large language models became powerful tools, and my imagination of what could be achieved with them grew.

Your previous computer vision focused startup Visualead was eventually acquired by Alibaba Group, what was this startup, and what were some of your key takeaways from this experience?

Visualead specialized in scanning logos, QR Codes, and everything in between, including securing and hiding information in images to enable safe P2P transactions and engagement. At Visualead, we’d been running algorithms on mobile devices since 2012, including models. It was challenging and tricky doing that back in the day, and we learned a lot about building efficient models and guardrails around these statistical creatures.

To this day I still apply lessons learned from that time to current projects I undertake- for example, when we built the open-source solution generation tool AlphaCodium we introduced the concept of Flow Engineering and applied this concept to build a flow to guardrail LLMs models output.

Could you share the genesis story behind launching CodiumAI?

At Alibaba, I saw firsthand how a bug in code could lead to a million-dollar problem and the challenges that developers faced to keep up with code generation without sacrificing quality or integrity. This problem persists, and today low-quality code has been attributed to a trillion-dollar problem that continues to grow.

The team at CodiumAI specializes in building AI-empowered tools at scale and is driven to tackle the pain points facing developers. With the birth of new LLM and AI capabilities, we understood that this was our opportunity to build a holistic code integrity platform to help busy teams like ourselves reduce bugs and mitigate other integrity issues. As more and more code was generated by AI, the problem of benchmarking this code and making sure it worked as intended became a critical pain point and one that we were driven to resolve. Building AI-empowered tools at scale, and therefore benchmarking is an essential concept for us.

As a group of experienced developers, we get it; dealing with tedious tasks such as testing and code reviewing could be frustrating. We are highly mission-driven to finally enable busy teams to increase and manage their code integrity.

Can you describe what types of non-trivial analysis CodiumAI performs on code, and how this supports developers in improving code quality?

Until recently, the existing tools available to developers offered little value- but with the arrival of LLMs (ChatGPT, Copilot, etc.) capabilities are starting to exceed expectations, and the support available to developers is no longer trivial.

The Codiumate Coding-Agent developed by CodiumAI offers developers unique tools to improve their workflow and enhance code generation. Codiumate streamlines the development process by providing automated assistance throughout the coding task. Using the existing code snippets a human developer highlights in their environment, the agent can automatically draft an easy-to-follow and cohesive development plan, write code according to that plan, identify duplicate code the developer may want to use or remove, draft documentation, and suggest tests to ensure the code works properly before it is deployed in a live environment.

Codiumate provides developers with in-depth behavioral analysis- illuminating possible behaviors and branches the code-under-test encompasses. This allows the developer to examine the generated code and create tests that (branch) cover all behaviors, hence improving the code more than if the developer had accounted for all possible cases on their own.

What specific functionalities does the PR-Agent provide for pull request analysis, and how does it streamline the review process on platforms like GitHub and GitLab?

The PR-Agent offers a variety of functionalities designed to enhance and streamline the pull request (PR) analysis and review process across various git providers.

Automatic PR Description Generation automatically generates comprehensive and detailed descriptions for pull requests. This feature addresses common issues where developers might skip detailed PR descriptions due to time constraints or oversight. With automated descriptions, every PR is equipped with sufficient context, making it easier for reviewers to understand the changes without needing to decipher the code diffs extensively.  We also built in automatic PR review to provide developers with a comprehensive overview of the PR which lets them spot potential issues such as bugs,  security vulnerabilities, or code smells proactively. This preemptive feedback allows developers to make corrections before the review process, thus enhancing the quality of the code that reaches the reviewers.

Leveraging AI, automated code suggestions can also suggest improvements or alternative implementations directly within the PR interface. These suggestions could be optimizations, adherence to coding standards, or even architectural enhancements, helping to elevate the quality of the code base incrementally.

The PR-Agent supports numerous options for customizing the commands it offers. One of the most helpful customization options is the use of custom labels to enhance the organization and management of pull requests on platforms like GitHub and GitLab. This functionality contributes to the operational efficiency and clarity of the development and review processes.

How does CodiumAI generate meaningful tests, and what makes these tests more effective than standard unit tests?

We enhance test generation by scanning code repositories for relevant snippets related to the code under test. Employing chain-of-thought prompts to map out all potential code behaviors, including typical paths and edge cases, our approach utilizes context-specific fetching and customized prompts tailored to different programming languages, embedding expert knowledge to ensure tests meet industry standards. Additionally, CodiumAI sets up specific runtime environments to better detect bugs and generate self-healing tests. These capabilities make CodiumAI-generated tests more comprehensive than standard unit tests, which often miss unintended behaviors due to developers’ inherent biases and the limitations in foreseeing all possible scenarios. This results in tests that are not only thorough but also more effective at uncovering subtle bugs and edge cases.

Based on user feedback, what are the most valued features of CodiumAI, and how have these features impacted the productivity of developers?

Based on user feedback we’ve received, we see that the /ask with code block context and /test generation features of the Codiumate agent are highly sought after and enhance developer workflow.

With /ask with code block context (see documentation here: /ask) developers can pose open questions about their code, or request code improvements or reviews during a free chat session. This feature is particularly beneficial for gaining a deeper understanding of the codebase, as the model retains the full context of the project, enabling it to address highly detailed and specific inquiries.

The /test generation (see documentation here: /test) tool allows developers to generate comprehensive test suites for their code with just one click. Exploring code behavior, identifying and resolving bugs promptly, and rapidly expanding code coverage is a huge asset to productivity.

The PR Agent /review (see documentation here – /review) function scans PR code changes and automatically generates a PR review to catch issues before developers push to production. The

/describe (see documentation here – /describe) function scans the PR code changes, and generates a description for the PR – title, type, summary, walkthrough, and labels saving developers time and energy they can better apply to more demanding or creative tasks.

How does CodiumAI identify edge cases and suspicious behaviors in the code?

Our tools scan the developer’s repository for relevant code snippets that relate to the code-under-test, and using chain-of-thought prompts, we map all the possible code behaviors and display them to the developer. CodiumAI can identify suspicious behaviors directly (regardless of the test generations), by identifying discrepancies or inconsistencies between different code snippets, or code snippets and the accompanying documentation.

CodiumAI supports major programming languages; can you elaborate on how it handles language-specific nuances in code analysis and test generation?

For major programming languages, our platform goes beyond basic support by implementing specialized techniques. These include context-specific fetching and customized prompting tailored to each language’s unique syntax and semantics. These customized prompts incorporate language-domain expert knowledge to get industry-level results. Additionally, we provide capabilities to establish a runtime environment specifically for these languages, which enhances our tool’s ability to detect bugs and generate self-healing tests effectively.

For less common languages, we leverage large language models (LLMs) that inherently understand multiple programming languages. This is complemented by our general context infrastructure and adaptive prompting system, which together facilitate accurate code analysis and test generation across diverse programming environments. By taking a dual-level approach, we can ensure comprehensive support regardless of the programming language used.

What future enhancements are planned for CodiumAI to further support and simplify the tasks of developers?

CodiumAI’s future development strategy emphasizes enhancing the available suite of AI tools to seamlessly integrate across all stages of the software development lifecycle. By employing advanced flow-engineering principles to streamline and simplify developers’ workflows, our agents will provide significant value across different stages of development. Furthermore, CodiumAI is committed to ensuring these tools excel in handling complex, real-world code and text scenarios, making them indispensable in everyday programming tasks. This holistic approach aims to elevate our offering as a robust, daily-use tool for developers, enhancing productivity and efficiency in the software development process.

Thank you for the great interview, readers who wish to learn more should visit CodiumAI.

[industryarcreport]

Artificial Intelligence Market ,Size, Market Statistics and Future Forecasts to 2030

Artificial Intelligence Market Overview

The Artificial Intelligence Market is estimated to reach US$400.9 billion by 2027, growing at a CAGR of 37.2% during the forecast period 2022-2027. Artificial Intelligence (AI) refers to a recreation of human intelligence functions by machines. It is used in the internet of things for multiple tasks including cloud computing, customer relationship management, data analysis, facial recognition technology, fraud detection and predictive analysis. The widescale adoption of Artificial Intelligence in various sectors on a global scale is for updating systems with intelligent features to enhance operational efficiency. In October 2022, Google Cloud introduced an AI-enabled medical imaging suite for use in the healthcare sector. It would reduce manual work done by radiologists as it has storage, datasets and an AI pipeline for imaging.

For More Info : https://www.industryarc.com/Report/17909/artificial-intelligence-market-in-education.html?utm_source=SBM&utm_campaign=Neha%20M

Artificial Intelligence Market Report Coverage

The “Artificial Intelligence Market Report – Forecast (2022-2027)” by IndustryARC, covers an in-depth analysis of the following segments in the Artificial Intelligence Market.

By Offering: Hardware, Software and Services.

By Technology: Machine Learning, Natural Language Processing, Context-Aware Computing and Computer Vision.

By Deployment: On-premises and Cloud.

By Organization Size: Small and Medium Enterprises and Large Enterprises.

By Product: Medical devices, Connected Consumer Devices, Smart Wearables, Home appliances, electronic gadgets, Mobiles, Laptops & PCs, Robots, Industrial Systems, Cameras, AR/VR, Drones and Others.

By Application: Industrial processes, Medical Assistance and Diagnosis, Marketing and sales, Security systems, Finance, Supply chain management, Service deployment, Cloud computing, Customer relationship management, Data analysis, Facial recognition technology, Fraud detection, Predictive analysis and Others.

By End-users: BFSI, IT and Telecommunication, Government, Defense, Consumer Electronics, Manufacturing, Healthcare, Retail and E-commerce, Automotive, Logistics and Transportation, Power and Utilities, Oil and Gas, Education and Others.

By Geography: North America (the US, Canada and Mexico), Europe (Germany, the UK, France, Italy, Spain and Others), APAC (China, Japan, South Korea, India, Australia and Others), South America (Brazil, Argentina and Others) and RoW (the Middle East and Africa).

Request For Sample Link : https://www.industryarc.com/pdfdownload.php?id=17909&utm_source=SBM&utm_campaign=Neha%20M

Key Takeaways

The Smart wearables segment by product type in the Artificial Intelligence Market is expected to grow the fastest at a CAGR of 39.2%, during the forecast period 2022-2027. The widescale adoption of AI in smart wearables is for upgrading the real-time monitoring features of smart connected devices.

The Healthcare segment by end-users in the Artificial Intelligence Market is expected to grow the fastest at a CAGR of 39.5%, during the forecast period 2022-2027. The increased adoption of AI in the healthcare sector for upgrading medical infrastructure with accurate and real-time monitoring systems would provide uninterrupted patient care services.

In 2021, North America held the largest market share of 38% in the Artificial Intelligence Market in terms of revenue. The widescale use of AI in this region is due to the government's efforts to encourage the adoption of AI-enabled solutions for the effective management of internet systems and delivery of uninterrupted services.

The increased deployment of AI in the Education sector for modernizing infrastructures with intelligent connected devices to deliver uninterrupted education is driving the market growth.

[amrutatbrc1]

Auto Parts Inventory Management Software Market 2024 : Size, Growth Rate, Business Module, Product Scope, Regional Analysis And Expansions 2033

The auto parts inventory management software global market report 2024 from The Business Research Company provides comprehensive market statistics, including global market size, regional shares, competitor market share, detailed segments, trends, and opportunities. This report offers an in-depth analysis of current and future industry scenarios, delivering a complete perspective for thriving in the industrial automation software market.

Auto Parts Inventory Management Software Market, 2024 report by The Business Research Company offers comprehensive insights into the current state of the market and highlights future growth opportunities.

Market Size - The auto parts inventory management software market size has grown rapidly in recent years. It will grow from $5.44 billion in 2023 to $6.27 billion in 2024 at a compound annual growth rate (CAGR) of 15.2%.  The growth in the historic period can be attributed to industry growth and complexity, globalization and supply chain challenges, e-commerce and digital transformation, regulatory compliance and traceability, customer expectations and service excellence.

The auto parts inventory management software market size is expected to see rapid growth in the next few years. It will grow to $10.39 billion in 2028 at a compound annual growth rate (CAGR) of 13.4%.  The growth in the forecast period can be attributed to IoT and connectivity, integration with autonomous and electric vehicles, increasing number of auto parts retailers, growing complexity of auto parts, increasing online sales of auto parts. Major trends in the forecast period include predictive analytics and machine learning, IoT-driven inventory tracking, blockchain for supply chain transparency, cloud-based solutions for flexibility, integration with autonomous and electric vehicle technologies.

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The Business Research Company's reports encompass a wide range of information, including:

1. Market Size (Historic and Forecast): Analysis of the market's historical performance and projections for future growth.

2. Drivers: Examination of the key factors propelling market growth.

3. Trends: Identification of emerging trends and patterns shaping the market landscape.

4. Key Segments: Breakdown of the market into its primary segments and their respective performance.

5. Focus Regions and Geographies: Insight into the most critical regions and geographical areas influencing the market.

6. Macro Economic Factors: Assessment of broader economic elements impacting the market.

Market Drivers - The expanding automotive industry is expected to propel the growth of the auto parts inventory management software market going forward. The automotive industry refers to a wide range of companies and organizations involved in the design, development, manufacturing, selling, and repairing of motor vehicles. Economic expansion in many countries increases consumer spending and demand for automobiles; therefore, distributors and retailers understand the value of using advanced inventory management solutions. Auto parts inventory management software helps businesses optimize stock levels, save costs, minimize stockouts, and improve operational efficiency. For instance, in May 2023, according to reports published by the European Automobile Manufacturers Association, a Belgium-based lobbying and standards group of the automobile industry, in 2022, 85.4 million motor vehicles were produced globally, a 5.7% increase from 2021. Therefore, the expanding automotive industry is driving the growth of the auto parts inventory management software market.

Market Trends - Major companies operating in auto parts inventory management software are adopting a strategic partnership approach to offer complete auto parts inventory solutions to the auto industry. Strategic partnerships refer to a process in which companies leverage each other's strengths and resources to achieve mutual benefits and success. For instance, in September 2023, DataScan, Inc., a US-based RFID inventory counting solution, partnered with AccuParts International, a US-based provider of industrial and transportation parts. The partnership will bring unparalleled experience and expertise in auto parts inventory management to the table, benefiting dealerships and distributors looking to streamline their inventory processes and increase operational efficiencies. With integrating DataScan's RFID inventory counting technology with AccuParts, the joint venture claims to give useful data insights and recommendations to assist in increasing profitability and efficiency in the automotive industry. With integrating DataScan's RFID inventory counting technology with AccuParts, the joint venture claims to give useful data insights and recommendations to assist in increasing profitability and efficiency in the automotive industry.

The auto parts inventory management software market covered in this report is segmented –

1) By Type: Hardware, Software 2) By Application: Auto Reconditioning Businesses, Vehicle Dealerships, Fleet Management, Tire Distributors, Car Rental Companies, E-commerce Platform 3) By End-Users: Automotive Manufacturers, Automotive Aftermarket,  Original Equipment Manufacturers (OEMs)

Get an inside scoop of the auto parts inventory management software market, Request now for Sample Report @ https://www.thebusinessresearchcompany.com/sample.aspx?id=14043&type=smp

Regional Insights - North America was the largest region in the  auto parts inventory management software market  in 2023. North America is expected to be the fastest-growing region in the forecast period. The regions covered in the auto parts inventory management software market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

Key Companies - Major companies operating in the auto parts inventory management software market are SAP SE, Infor Inc., Epicor Software Corporation, Hubworks LLC, Windward Software, Carrus Technologies Inc, Wasp Barcode Technologies, Motility Software Solutions LLC, Fuse5 Automotive Software, ADS Solutions Corp, Fishbowl, System Nexgen, Acumatica Inc., Rarestep Inc, Alterity Inc, AutoPower Corporation, Finale Inventory, FleetSoft LLC, Amador of America Inc, Eagle Business Accounting Software, MAM Software Group Inc, Sortly Inc, RazorERP, Checkmate by Car-Part

Table of Contents 1. Executive Summary 2. Auto Parts Inventory Management Software Market Report Structure 3. Auto Parts Inventory Management Software Market Trends And Strategies 4. Auto Parts Inventory Management Software Market – Macro Economic Scenario 5. Auto Parts Inventory Management Software Market Size And Growth ….. 27. Auto Parts Inventory Management Software Market Competitor Landscape And Company Profiles 28. Key Mergers And Acquisitions 29. Future Outlook and Potential Analysis 30. Appendix

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[brillmind]

What are the best tips for future mobile app development company ?

Nonetheless, finding the right mobile app development company can be a difficult errand. With such countless choices accessible, settling on an educated choice is fundamental. In this blog, we'll examine ten hints that will assist you with picking the best mobile app development company for your project.

The companies build a wide variety of apps for mobile platforms, including games, business apps, and mobile websites. Mobile app spending is growing every year, and there are more than 6 billion smartphones worldwide.

Research from Finbold found that consumers spent $41.5 billion during 2021’s first six months on Apple apps. That’s almost twice as much as Android users spend using their apps!

Consumer spending on mobile apps is expected to surpass $156 billion in 2022. If we look at those statistics, should we even be surprised that so many businesses are committed to creating their own mobile applications?

Building your own app isn’t the easiest thing, but choosing the right mobile application development company can help. You now have the option of working with companies and developers from all over the globe, making it easier to find a team with the exact skills and experience you really want for your application, in addition to those in San Francisco or New York

In the present time of innovation, mobile app development has arisen as a pivotal viewpoint for organizations hoping to lay out their presence in the computerized world. To succeed in this profoundly cutthroat industry, mobile app development companies in Bangalore and e-learning app development companies in the USA need to remain on the ball. In this , we will talk about a few important tips to help future mobile app development companies thrive and succeed.

Embrace Emerging Technologies:

To remain ahead, embracing the most recent arising technologies is fundamental. Utilizing the force of Man-made reasoning (simulated intelligence), Augmented Reality (AR), and Virtual Reality (VR) can altogether improve the usefulness and user experience of mobile apps. By consolidating these advancements, mobile app development companies in Bangalore and e-learning app development companies in the USA can create innovative solutions that meet the evolving needs of their users.

Focus on User Experience:

User experience assumes a crucial part in the outcome of any mobile application. By guaranteeing a consistent and natural UI, portable application improvement organizations can draw in and hold clients. In order to provide an exceptional user experience, pay attention to design, navigation, and performance optimization. Consolidating client criticism and directing ordinary ease of use tests can help refine the application further and live up to the users' expectations.

Prioritize Security:

In this computerized age, security is central. Mobile app development companies should invest in robust security measures to protect user data and build trust among users. To protect user data, it is essential to implement secure authentication protocols, encrypt sensitive data, and regularly update security frameworks.

Leverage Cloud Technology:

Cloud technology offers huge advantages for mobile app development companies. It considers seamless scalability, enhanced storage capabilities, and reduced infrastructure costs. Companies can guarantee smooth app performance, quick updates, and effective data management by utilizing the cloud.

Agile Development Methodology:

Executing a Agile development methodology can extraordinarily improve the productivity and nature of mobile app development. Breaking the advancement cycle into more modest, reasonable runs guarantees ordinary input, nonstop improvement, and quicker time-to-advertise. This iterative approach enables mobile app development companies to adapt to evolving requirements and deliver superior products.

Collaborate with Industry Experts:

Collaborating with industry specialists can provide invaluable insights and expertise. Building partnerships with powerful associations, going to industry gatherings, and partaking in discussions empower versatile application improvement organizations to remain refreshed with the most recent patterns and best practices. Organizing with similar experts encourages advancement and opens ways to possible coordinated efforts and business open doors.

Quality Assurance and Testing:

Thorough quality affirmation and testing are fundamental prior to sending off any portable application. Direct thorough testing to recognize and amend any bugs, errors, or similarity issues Mobile app development companies in Bangalore and e-learning app development companies in the USA should follow stringent testing protocols to ensure a seamless user experience across different devices and platforms.

Conclusion:

Success in the mobile app development industry depends on staying ahead of the competition. Mobile app development companies can increase their chances of creating market-leading apps by embracing emerging technologies, focusing on user experience, prioritizing security, leveraging cloud technology, adopting Agile methodologies, collaborating with industry experts, and conducting thorough testing, mobile app development companies in Inda can increase their chances of creating market-leading apps. With these tips in mind, future mobile app development companies can position themselves as pioneers in the industry.

[jayanthitbrc]

Global AI In Logistics Market Overview 2024: Size, Growth Rate, and Segments

The ai in logistics global market report 2024 from The Business Research Company provides comprehensive market statistics, including global market size, regional shares, competitor market share, detailed segments, trends, and opportunities. This report offers an in-depth analysis of current and future industry scenarios, delivering a complete perspective for thriving in the industrial automation software market.

AI In Logistics Market, 2024 report by The Business Research Company offers comprehensive insights into the current state of the market and highlights future growth opportunities.

Market Size - The ai in logistics market size has grown exponentially in recent years. It will grow from $12.21 billion in 2023 to $18.01 billion in 2024 at a compound annual growth rate (CAGR) of 47.5%. The growth in the historic period can be attributed to increasing complexity in supply chain networks, rising demand for real-time logistics solutions, advancements in ai and machine learning technologies, growing e-commerce sector, need for efficiency and cost optimization in logistics operations.

The ai in logistics market size is expected to see exponential growth in the next few years. It will grow to $83.26 billion in 2028 at a compound annual growth rate (CAGR) of 46.6%. The growth in the forecast period can be attributed to expansion of autonomous vehicles and drones in logistics, rising demand for predictive analytics in supply chain management, growth of smart warehouses and fulfillment centers, integration of blockchain technology for transparent and secure transactions, increasing focus on sustainability and green logistics. Major trends in the forecast period include adoption of ai-powered route optimization for delivery fleets, development of ai chatbots for customer service and support, emergence of predictive maintenance solutions for logistics assets, utilization of ai for demand forecasting and inventory management, implementation of ai-enabled risk management systems for supply chain resilience.

Order your report now for swift delivery @ https://www.thebusinessresearchcompany.com/report/ai-in-logistics-global-market-report

Scope Of AI In Logistics Market The Business Research Company's reports encompass a wide range of information, including:

1. Market Size (Historic and Forecast): Analysis of the market's historical performance and projections for future growth.

2. Drivers: Examination of the key factors propelling market growth.

3. Trends: Identification of emerging trends and patterns shaping the market landscape.

4. Key Segments: Breakdown of the market into its primary segments and their respective performance.

5. Focus Regions and Geographies: Insight into the most critical regions and geographical areas influencing the market.

6. Macro Economic Factors: Assessment of broader economic elements impacting the market.

AI In Logistics Market Overview

Market Drivers - The rising growth of the e-commerce sector is expected to propel the growth of the AI in logistics market going forward. E-commerce refers to the buying and selling of goods or services over the internet and the transfer of data and funds to complete the transactions. The adoption of AI in logistics helps e-commerce businesses streamline their operations and improve efficiency, leading to benefits such as route optimization, supply chain optimization, and personalized shopping recommendations. For instance, in September 2022, according to the International Trade Administration, a US-based department of commerce, consumer e-commerce now made up 30% of the UK's overall retail sector (up from 20% in 2020), with an annual e-commerce revenue of more than $120 billion. Further, in 2021, 82% of people in the UK will have made at least one online purchase. Therefore, the rising growth of the e-commerce sector is driving the growth of the AI in logistics market.

Market Trends - Major companies operating in the AI in logistics market are focusing on introducing technologically advanced solutions, such as AI-powered supply chain management and orchestration solutions, to increase their profitability in the market. AI-powered supply chain management and orchestration solutions leverage artificial intelligence to streamline and optimize various aspects of the supply chain. For instance, in December 2023, Blue Yonder, an India-based digital supply chain management solutions company, launched Blue Yonder Orchestrator, a new generative AI tool that simplifies supply chain management and orchestration. This new feature combines large language models (LLMs), cloud data, and prompt engineering to recommend supply chain decisions. This AI-powered solution gives business users instant access to advice, forecasts, and intelligent decisions, so they can make the best choices possible and have a positive impact on their supply chain. With so many professionals finding it difficult to retain institutional knowledge in today's supply chain environment, Blue Yonder Orchestrator can be a useful supply chain assistant that helps businesses enhance intuition by leveraging the value of data to make decisions more quickly and effectively.

The ai in logistics market covered in this report is segmented –

1) By Offering: Software, Services 2) By Technology: Machine Learning, Natural Language Processing, Context Awareness Computing, Computer Vision 3) By Application: Self-driving Vehicles And Forklifts, Planning And Forecasting, Machine And Human Collaboration, Automation Of Ordering And Processing 4) By Industry Vertical: Automotive, Food And Beverages, Manufacturing , Healthcare, Retail

Get an inside scoop of the ai in logistics market, Request now for Sample Report @ https://www.thebusinessresearchcompany.com/sample.aspx?id=13568&type=smp

Regional Insights - North America was the largest region in the AI in logistics market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the ai in logistics market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

Key Companies - Major companies operating in the ai in logistics market report are Amazon.com Inc, Alphabet Inc., Microsoft Corporation, DHL International GmbH, United Parcel Service, Inc., FedEx Corporation, CEVA Logistics AG, Intel Corporation, IBM Corporation, Oracle Corporation, Kuehne + Nagel International AG, NVIDIA Corporation, XPO Logistics, Inc., Zebra Technologies, HAVI , Infor, Echo Global Logistics, Symbotic , C3 AI, Turvo Inc., project44 Inc., Wise Systems, Inc., Covariant , Cognitivescale Inc., Slync.io Inc., Transportation Applied Intelligence LLC

Table of Contents 1. Executive Summary 2. AI In Logistics Market Report Structure 3. AI In Logistics Market Trends And Strategies 4. AI In Logistics Market – Macro Economic Scenario 5. AI In Logistics Market Size And Growth ….. 27. AI In Logistics Market Competitor Landscape And Company Profiles 28. Key Mergers And Acquisitions 29. Future Outlook and Potential Analysis 30. Appendix

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