#Data Science Great Learning

[kodestreetechnologies]

Best Online Data Science Bootcamp - Learn Data Science from Scratch

Data Science Program

Data Science is one of the most popular career paths for the 21st Century. Businesses from all industries use data-driven strategies for better decision-making, to optimize operations and enhance customer experience. Enrolling in an Online Data Science Bootcamp or a Data Science Program is the best option for anyone looking to break into this dynamic industry.

This guide covers everything you need about Data Science, including the best bootcamps and why it is a field with immense career potential.

What is Data Science Programs?

A Data Science Program provides a structured path of learning that includes both the fundamentals and advanced concepts in data science. The Data Science Program includes a variety of Data Science Courses, which cover essential topics such as:

Probability and Statistics

Machine Learning Programs

Artificial Intelligence Courses

Big Data Analytics Training

Data Science Certification

Python for Data Science

Deep Learning Courses

Business Intelligence Programs

Data Science Statistics

Data Science Great Learning

Online Data Science Bootcamps provide intensive, hands-on instruction that prepares students to tackle real-life data science challenges.

Why Data Science Is Important

Data scientists are in high demand due to the explosion of data that has occurred with the digital age. Companies use data to:

Take data-driven decisions

Trends and patterns can be identified

Automate processes using AI & ML

Enhance customer experience

Efficiency and operational effectiveness

To stay competitive, companies are investing heavily in Data Science Training. The demand for qualified professionals is growing exponentially.

Why choose an online data science bootcamp?

1. Accessibility and Flexibility

Online Data Science Bootcamps allow you to study at your own pace, from anywhere. You can learn while balancing your daily obligations, whether you are a student, a working professional or a career changer.

2. Industry-Related Curriculum

Bootcamps are designed to provide students with practical skills that will help them land a job. They do not focus solely on theoretical knowledge. The courses cover the core Data Science programs, such as Python for Data Science and Machine Learning.

3. Hands-on projects

Real-world cases are often used in bootcamps to help students learn how to apply their knowledge. Real datasets help in learning Data Science Statistics, and business intelligence applications.

4. Expert Mentorship

Data Science and Analytics professionals with years of experience will teach you the basics. Many bootcamps offer personalized mentoring for those who want it.

5. Affordable Learning

Online Data Science Bootcamps are a great option because they cost less than most university degrees. Many bootcamps also offer discounts, scholarships, and flexible payment options.

The Key Components for a Top Online Data Science Bootcamp

The following modules should be included in a well-structured Online Data Science Bootcamp:

1. The Foundations

Data Science Introduction Courses

Python Basics for Data Science

Understanding Data Science Statistics

2. Data Analysis and Handling

Data Wrangling Techniques

Exploratory Data Analysis

Data Analytics Training

3. Machine Learning & AI

Machine Learning Programs (Supervised & Unsupervised Learning)

Artificial Intelligence (Deep Learning NLP Computer Vision)

Deep Learning Courses (Neural Networks, CNNs, RNNs)

4. Big Data and Business Intelligence

Big Data Analytics Training

Business Intelligence Programs

5. Career Support & Job Readiness

Build your resume and prepare for interviews

Industry Networking

Freelancing and Internship Opportunities

Who should enroll in a Data Science Bootcamp Online?

A Data Science Bootcamp online is perfect for:

Beginners who are interested in a career as a Data Scientist

Professionals in the workforce seeking to make a career change

Machine Learning and AI: A must-know for IT professionals

Students interested in Data Science courses and certifications

Entrepreneurs who want to use data for business growth

Best Online Data Science Bootcamps for 2025

Coursera Data Science (by Johns Hopkins University).

MIT Professional Data Science Certificate

Google Data Analytics Certificate

IBM Data Science Professional Certificate

Data Science Bootcamp with Udacity

Springboard Data Science Career Path

Data Science Program from edX

Data Science Online Course (by Kodestree),

Job Opportunities Following Completion of a Data Science Bootcamp

After completing the Data Science Program you can explore careers such as:

Data Scientist

Machine Learning Engineer

Big Data Analyst

Business Intelligence Analyst

AI Engineer

Data Engineer

Python Data Analyst

Data Science Consultant

Deep Learning Specialist

Companies are actively seeking certified professionals to fill these positions.

FAQs about Online Data Science Bootcamps

1. Do I have to be a coder in order to attend a Data Science Bootcamp?

Many boot camps offer introductory Python courses for Data Science for beginners.

2. How long does it usually take to complete the Online Data Science Bootcamp course?

Bootcamps can last anywhere from 3 months to 12 depending on their intensity.

3. What are the benefits of Data Science Bootcamps?

Bootcamps are a good investment in career development because they provide skills that can be used on the job.

4. Can I find a job once I complete a Data Science Bootcamp course?

Most bootcamps provide career support to increase the chances of getting a job.

5. How much does an Online Data Science Bootcamp cost?

The cost of a course can range from $500 up to $5,000 depending on the provider and the duration.

Blog Summary & Recommendation 

Online Data Science Bootcamps are the fastest way to gain expertise in Machine Learning and Artificial Intelligence. They also provide a great opportunity for you to learn about Big Data Analytics, Business Intelligence, and Big Data Analytics. These bootcamps are great for both beginners and experienced professionals. They provide structured learning as well as hands-on experiences, career opportunities, and more.

Kodestree is the perfect program for those who are looking to enroll in an Online Data Science Course or a Data Science Course Bangalore. Take a look at their courses to start your journey towards a career in data sciences!

[aeolianblues]

I'm not an extrovert. At all. In everyday life, I'm a yapper, sure, but I need someone to first assure me I am okay to yap, so I don't start conversations, even when I really want to join in sometimes! It's just the social anxiety acting up. God knows where from and why I lose a lot of my inhibitions when it comes to talking to people about music. I don't know where the confidence has suddenly sprung from. I've made a crazy amount of friends in musical circles, either just talking to people about common music or (since it is after all in music circles) talking to bands about their own music. I let out a sigh of relief any time an interaction goes well, because in truth it's going against my every instinct. I wish I could do that in everyday life

[education43]

What Are the Qualifications for a Data Scientist?

In today's data-driven world, the role of a data scientist has become one of the most coveted career paths. With businesses relying on data for decision-making, understanding customer behavior, and improving products, the demand for skilled professionals who can analyze, interpret, and extract value from data is at an all-time high. If you're wondering what qualifications are needed to become a successful data scientist, how DataCouncil can help you get there, and why a data science course in Pune is a great option, this blog has the answers.

The Key Qualifications for a Data Scientist

To succeed as a data scientist, a mix of technical skills, education, and hands-on experience is essential. Here are the core qualifications required:

1. Educational Background

A strong foundation in mathematics, statistics, or computer science is typically expected. Most data scientists hold at least a bachelor’s degree in one of these fields, with many pursuing higher education such as a master's or a Ph.D. A data science course in Pune with DataCouncil can bridge this gap, offering the academic and practical knowledge required for a strong start in the industry.

2. Proficiency in Programming Languages

Programming is at the heart of data science. You need to be comfortable with languages like Python, R, and SQL, which are widely used for data analysis, machine learning, and database management. A comprehensive data science course in Pune will teach these programming skills from scratch, ensuring you become proficient in coding for data science tasks.

3. Understanding of Machine Learning

Data scientists must have a solid grasp of machine learning techniques and algorithms such as regression, clustering, and decision trees. By enrolling in a DataCouncil course, you'll learn how to implement machine learning models to analyze data and make predictions, an essential qualification for landing a data science job.

4. Data Wrangling Skills

Raw data is often messy and unstructured, and a good data scientist needs to be adept at cleaning and processing data before it can be analyzed. DataCouncil's data science course in Pune includes practical training in tools like Pandas and Numpy for effective data wrangling, helping you develop a strong skill set in this critical area.

5. Statistical Knowledge

Statistical analysis forms the backbone of data science. Knowledge of probability, hypothesis testing, and statistical modeling allows data scientists to draw meaningful insights from data. A structured data science course in Pune offers the theoretical and practical aspects of statistics required to excel.

6. Communication and Data Visualization Skills

Being able to explain your findings in a clear and concise manner is crucial. Data scientists often need to communicate with non-technical stakeholders, making tools like Tableau, Power BI, and Matplotlib essential for creating insightful visualizations. DataCouncil’s data science course in Pune includes modules on data visualization, which can help you present data in a way that’s easy to understand.

7. Domain Knowledge

Apart from technical skills, understanding the industry you work in is a major asset. Whether it’s healthcare, finance, or e-commerce, knowing how data applies within your industry will set you apart from the competition. DataCouncil's data science course in Pune is designed to offer case studies from multiple industries, helping students gain domain-specific insights.

Why Choose DataCouncil for a Data Science Course in Pune?

If you're looking to build a successful career as a data scientist, enrolling in a data science course in Pune with DataCouncil can be your first step toward reaching your goals. Here’s why DataCouncil is the ideal choice:

Comprehensive Curriculum: The course covers everything from the basics of data science to advanced machine learning techniques.

Hands-On Projects: You'll work on real-world projects that mimic the challenges faced by data scientists in various industries.

Experienced Faculty: Learn from industry professionals who have years of experience in data science and analytics.

100% Placement Support: DataCouncil provides job assistance to help you land a data science job in Pune or anywhere else, making it a great investment in your future.

Flexible Learning Options: With both weekday and weekend batches, DataCouncil ensures that you can learn at your own pace without compromising your current commitments.

Conclusion

Becoming a data scientist requires a combination of technical expertise, analytical skills, and industry knowledge. By enrolling in a data science course in Pune with DataCouncil, you can gain all the qualifications you need to thrive in this exciting field. Whether you're a fresher looking to start your career or a professional wanting to upskill, this course will equip you with the knowledge, skills, and practical experience to succeed as a data scientist.

Explore DataCouncil’s offerings today and take the first step toward unlocking a rewarding career in data science! Looking for the best data science course in Pune? DataCouncil offers comprehensive data science classes in Pune, designed to equip you with the skills to excel in this booming field. Our data science course in Pune covers everything from data analysis to machine learning, with competitive data science course fees in Pune. We provide job-oriented programs, making us the best institute for data science in Pune with placement support. Explore online data science training in Pune and take your career to new heights!

[dilamo]

Great Learning

Signup to Great Learning App using my referral code "GLFOUZGHJAQKM" and Earn 100 GL Coins. Use GL coins to earn exciting rewards

https://j8wy8.app.goo.gl/6WExgAJ6TZY5avcF7

[rohit-69]

Great Learning Reviews – Career Tracks, Courses, Learning Mode, Fee, Reviews, Ratings and Feedback

Introduction

In our commitment to assist students in selecting the best platforms for skill enhancement, Analytics Jobs explores Great Learning, evaluating factors like program offerings, faculty, career support, job guidance, and alumni reviews. The resulting authentic data forms the basis of Great Learning Reviews, offering a genuine guide for prospective learners.

Understanding Great Learning

Great Learning is an edtech organization dedicated to fostering skills essential for individual growth and success. Collaborating with top academic universities globally, Great Learning addresses dynamic industry needs in data, business, and technology domains. Their programs cover a spectrum of fields, including cloud computing, cybersecurity, management, and data science.

The organization not only imparts knowledge but also provides job opportunities, partnering with renowned companies like IBM, Myntra, Infosys, KPMG, and Uber.

Great Learning Mission

Great Learning's mission is to become India’s largest professional learning company with a global presence. Over the years, they have facilitated successful career progression for thousands of individuals in leading companies worldwide.

Background of Great Learning

Founded in 2013 by Mohan Lakhamraju and Hari Nair, Great Learning initially focused on business analytics. Over the years, it expanded its programs, partnering with prestigious institutions like Texas McCombs and Stanford Executive Education. By 2022, it had become India's #1 Edtech company, reaching millions of learners globally.

About Founders and CEO

Mohan Lakhamraju, the Founder and CEO, leads the company's mission to impact one million people through e-learning. Co-founder Hari Krishnan Nair and Arjun Nair contribute their dedication to providing accessible professional education.

Great Learning Programs and Reviews

Great Learning offers diverse programs, covering fields such as data science, business analytics, digital marketing, and management. The organization collaborates with top universities globally, offering learners opportunities to study abroad and gain recognition.

Key Features and Unique Selling Points

Mentorship Sessions: Regular sessions with industry experts in small groups ensure personalized attention.

Career Support: Mock interviews, counseling, networking sessions, and career fairs enhance learners' confidence.

Real-life Projects: Hands-on projects and case studies prepare learners for real-world business challenges.

Collaboration: Partnerships with top universities and recruiters open doors to global recognition and job opportunities.

Great Learning Program Reviews

The organization offers renowned programs like:

Postgraduate Program in Data Science and Business Analytics: A 12-month online course covering data science, statistics, code, SQL programming, and domain-specific expertise.

Postgraduate Diploma in Management: A 2-year AICTE-approved program focusing on finance, marketing, and operations.

Postgraduate Program in Cloud Computing: An 8-month mentorship-driven program with in-depth learning about cloud services.

Postgraduate Program in Cybersecurity: A 6-month online course covering information security, cyber-attacks, security controls, and incident management.

Postgraduate Program in Artificial Intelligence and Machine Learning: A 12-month program with online mentorship covering Python, deep learning, machine learning, and neural networks.

Website Review

Great Learning's website design is well-structured, offering easy navigation. The responsive design ensures accessibility on all devices, and the student portal provides convenient access to program details.

Mobile Compatibility and App Functionality

The mobile-friendly website and dedicated app ensure a stable and user-friendly learning experience on various devices.

Great Learning Data Science Course Reviews

Great Learning's data science courses, affiliated with global universities, offer unique features:

PG Program in Data Science and Engineering: A 5-month in-class program for beginners covering Python, Tableau, SQL, Pandas, and Numpy.

MIT Data Science and Machine Learning Program: A 12-week course by MIT IDSS covering machine learning, deep learning, NLP, recommendation systems, and more.

Data Analytics Bootcamp Program: A 4-month in-class course focusing on Excel, SQL, Python, Tableau, and job-ready bootcamp.

Master of Data Science (Global) Program: A 12-month course by Deakin University, offering foundational and advanced competency tracks.

M.Sc. in Big Data and Business Analytics: A 24-month hybrid course combining online and on-campus classes in Germany.

Instructors and Mentors

Great Learning's dedicated instructors, often industry experts, provide valuable guidance and support. The collaboration with various institutions ensures exposure to top professionals.

Great Learning MS (Master) Data Science Course Reviews

An in-depth review of the MS Data Science course reveals:

Key Features: 18-month course, 100% live sessions, capstone project, 1:1 mentorship, career assistance, and a master's degree from Northwestern University.

Fees: ₹10,78,808 total fees with six quarterly installments.

Mentors: Dr. Tom Miller, Dr. Abhinanda Sarkar, Dr. Srabashi Basu, and Dr. D Narayana.

Curriculum Overview

The course spans six terms covering math, statistics, database systems, data engineering, decision analytics, data governance, ethics, law, machine learning, natural language processing, artificial intelligence, deep learning, computer vision, and a capstone project.

Pros and Cons of Great Learning

Pros: Diverse courses, career support, and top recruiting companies. Cons: Some courses are expensive, and occasional communication issues.

User Reviews

Reviews on various platforms highlight experiences with course content, communication, and Analytics jobs. Some praise the quality of content and faculty, while others express concerns about communication and course completeness.

Conclusion

Through an extensive exploration of Great Learning reviews, including program offerings, mission, and user reviews, this article aims to provide a comprehensive guide for prospective learners. While acknowledging the organization's strengths, it emphasizes the importance of considering user experiences and individual preferences when choosing an educational platform. Ultimately, the decision rests with the learner to pave their path to a successful and fulfilling career.

If you want to know more about Great learning Reviews and courses then do visit - analyticsjobs

[reasonsforhope]

"In the 1750s, an Italian farmer digging a well stumbled upon a lavish villa in the ruins of Herculaneum. Inside was a sprawling library with hundreds of scrolls, untouched since Mount Vesuvius’ eruption in 79 C.E. Some of them were still neatly tucked away on the shelves.

This staggering discovery was the only complete library from antiquity ever found. But when 18th-century scholars tried to unroll the charred papyrus, the scrolls crumbled to pieces. They became resigned to the fact that the text hidden inside wouldn’t be revealed during their lifetimes.

In recent years, however, researchers realized that they were living in the generation that would finally solve the puzzle. Using artificial intelligence, they’ve developed methods to peer inside the Herculaneum scrolls without damaging them, revealing short passages of ancient text.

This month, researchers announced a new breakthrough. While analyzing a scroll known as PHerc. 172, they determined its title: On Vices. Based on other works, they think the full title is On Vices and Their Opposite Virtues and in Whom They Are and About What.

“We are thrilled to share that the written title of this scroll has been recovered from deep inside its carbonized folds of papyrus,” the Vesuvius Challenge, which is leading efforts to decipher the scrolls, says in a statement. “This is the first time the title of a still-rolled Herculaneum scroll has ever been recovered noninvasively.”

On Vices was written by Philodemus, a Greek philosopher who lived in Herculaneum more than a century before Vesuvius’ eruption. Born around 110 B.C.E., Philodemus studied at a school in Athens founded several centuries earlier by the influential philosopher Epicurus, who believed in achieving happiness by pursuing certain specific forms of pleasure.

“This will be a great opportunity to learn more about Philodemus’ ethical views and to get a better view of the On Vices as a whole,” Michael McOsker, a papyrologist at University College London who is working with the Vesuvius Challenge, tells CNN’s Catherine Nicholls.

When it launched in 2023, the Vesuvius Challenge offered more than $1 million in prize money to citizen scientists around the world who could use A.I. to help decipher scans of the Herculaneum scrolls. 

Spearheaded by Brent Seales, a computer scientist at the University of Kentucky, the team scanned several of the scrolls and uploaded the data for anyone to use. To earn the prize money, participants competed to be the first to reach a series of milestones.

Reading the papyrus involves solving several difficult problems. After the rolled-up scrolls are scanned, their many layers need to be separated out and flattened into two-dimensional segments. At that point, the carbon-based ink usually isn’t visible in the scans, so machine-learning models are necessary to identify the inked sections.

In late 2023, a computer science student revealed the first word on an unopened scroll: “porphyras,” an ancient Greek term for “purple.” Months later, participants worked out 2,000 characters of text, which discussed pleasures such as music and food.

But PHerc. 172 is different from these earlier scrolls. When researchers scanned it last summer, they realized that some of the ink was visible in the images. They aren’t sure why this scroll is so much more legible, though they hypothesize it’s because the ink contains a denser contaminant such as lead, according to the University of Oxford’s Bodleian Libraries, which houses the scroll.

In early May, the Vesuvius Challenge announced that contestants Marcel Roth and Micha Nowak, computer scientists at Germany’s University of Würzburg, would receive $60,000 for deciphering the title. Sean Johnson, a researcher with the Vesuvius Challenge, had independently identified the title around the same time.

Researchers are anticipating many more breakthroughs on the horizon. In the past three months alone, they’ve already scanned dozens of new scrolls.

“The pace is ramping up very quickly,” McOsker tells the Guardian’s Ian Sample. “All of the technological progress that’s been made on this has been in the last three to five years—and on the timescales of classicists, that’s unbelievable.”"

-via Smithsonian, May 16, 2025

[traveler-at-heart]

Hot and Cold

Summary: Natasha's playing with fire when a new resident joins the Compound.

A/N: Queen of Angst @esposadejoyhuerta asked for the fluffiest, sweetest, tooth rotting story ever and I was happy to deliver, even after they changed their request to inclue jealousy BECAUSE no one can stop me. Love ya, baby!

Another day, another mission. Since last week’s mess, it seems like Fury’s been finding ways to torture the team.

Yes, at the end they were able to retrieve the drive with the data of over twenty enhanced individuals. But so did HYDRA. And now the Avengers are on a race against time to locate them before the Russians do.

Natasha walks to Fury’s office, not excited at the prospect of risking her life to recruit people who didn’t really want to be found.

“Yes?” she says as soon as Fury turns around. He hands over a very heavy binder. “Is this their criminal record?”

Great, a weirdo with a troubled past. Natasha might not make it out alive.

“No, that’s their academic stuff. She’s a scientist. Crazy smart” Fury explains. “Have you heard of Bio-Thermokinesis?”

“No, not really”

“The ability to manipulate the body temperature of oneself and/or others” he recites, having learned the concept just now.

“That doesn’t sound so bad” Natasha says, closing the folder. It’s certainly better than the last few people she had to chase down.

“Yeah, until she induces a heat stroke or hypothermia” Fury scoffs. “We’ve been failing at recruiting these people. It would be nice to have a win. Plus, she could work in the lab with Banner and Stark”

“I don’t think Nerd Club is worth one’s freedom” Natasha mutters, skimming through the file.

“Well, either way, this mission doesn’t requires strenght. It requires charm. You up for it or should I send Hill?”

As Natasha gets to the picture of the target, she looks up.

“I’ll handle it”

—

As usual, you’re carrying more than you can possibly handle. Books, your laptop, a sandwich from the cafeteria, and correspondence from the main office.

By the time you manage to open the door to your office, half of the things in your arms are dangerously close to scattering across the hardwood floor.

“Oh, shit” you mutter when your keys drop.

“Need a hand?” a voice says and you jump back, the rest of your stuff flying across the room. 

“Uh… can I help you?” you say, because the most beautiful woman you’ve ever seen is perched up on your desk, legs crossed and a playful smirk across her striking features.

“Are you Doctor Y/L/N?”

“Yes. How did you…? I’m pretty sure the door was locked” 

Is she a thief? You have absolutely nothing of value, at least not for a conventional burglar. You run every possibility in your mind and then you land on your second least favorite one.

Natasha notices the room getting warmer, probably because of how flustered you got. The file seems accurate regarding your power.

“AC broke down?” she asks innocently, undoing the top button of her shirt.

“Uh… I… I’ll open the window” you say, pushing it and leaning against the window pain. You consider jumping down to escape, but it’s a considerable height. You take a breath, deciding to face the matter head on. “So, which agency sent you?”

“Ever heard of S.H.I.E.L.D.?”

“Yes, that was my first guess” you admit with a sad smile. “What can I do for you, Agent…?”

“Call me Natasha” she says, hopping off the desk. “I’m afraid I am the bearer of bad news… and a generous offer”

“Mmm” you nod, fixing your glasses. 

“A tactical team was sent to stop the purchase of confidential information for 30 enhanced individuals. We were able to obtain it… and so did HYDRA”

“Listen” you raise your hand, taking off your glasses and pinching the bridge of your nose. “I get it. HYDRA and S.H.I.E.L.D. know about me. The thing is, my power isn’t something you can leverage in a fight. I doubt they’ll be very interested in me”

“I think you’re wrong. And it’s not just your ability. Your expertise in science and your genetic makeup can be used to experiment”

“So, is that what S.H.I.E.L.D. wants to do with me?” you sigh, looking out the window. You’re enjoying the view, vaguely aware that life as you know it is over.

“We want to offer you shelter at the Avengers Compound. 24 hour security, top facilities and technology. You can continue your research” Natasha says, trying to make it sound like a great deal.

It brings her back to that time Fury told her it was either work for the US government or end up in the Raft.

Your offer is slightly better, but a golden prison is still a prison.

“Are there any questions I can answer before you make a decision?” she offers with a kinder tone.

“Yeah. Do I even have a choice?”

—

Academic life is all you’ve ever known. Grants were the perfect way to do your research without having to look for a benefactor and expose yourself. You could learn things about your DNA, your abilities, while doing other stuff without anyone noticing.

Now, you wake up and there’s nothing that drives you. You live with people who have exceptional skills, physical prowess, and military training. Their world is avenging, your world is scientific papers and books.

Sure, their lab is nice, but most of the times you end up leaving early, completely unmotivated and feeling empty. 

Natasha watches from afar, and although this isn’t her doing, she feels responsible. She tries to include you in activities she understands, like training, but you’re very obviously not the athletic kind.

Banner is, as usual, isolating himself and Tony speaks nerd, but is barely around unless a mission requires his presence. 

It isn’t until one day that Peter shows up to the Compound that Natasha gets an idea.

“Hi, Miss Romanoff. Is Mister Stark around?” he asks in that shy tone he always uses when he’s around Natasha.

“Nope, not to my knowledge. Do you need anything?” 

“FRIDAY told me to meet him here. He must have forgotten. I guess I better get back to my Biochem project”

Wait a minute.

He’s a nerd.

“Stay” she says, looking him up and down. Peter reminds her of a puppy when he stops completely, as if he learned a new command. “Wait for Tony at the lab. I’ll try to find him”

“You’re sure? I’m not allowed inside by myself” he hesitates, following Natasha.

“Yeah, it’s fine” she types in the access code, and of course, there you are, spinning in your chair.

As soon as you hear the door opening, you stop your movements, almost falling off.

Natasha finds your blush adorable.

“Hey, Y/N. This is Peter. He’ll be around waiting for Tony”

“Oh, hey. Ok, I was just leaving. I’m kinda stuck either way”

“Ordinary Differential Equations?” Peter says as soon as he gets his eyes on your board.

“Yes. Very impressive” you nod. “This is focused on genetic network. I’m trying to determine inborn errors of metabolism”

“Oh, you know? There’s a brilliant Doctor who’s working on that, maybe her paper would be great for you. She’s Y/N Y/L/N”

“Yeah, that’s me” you say, tapping your chin and examining the board. “What is your ability? If you have any? Maybe I can use a different set of data”

“Yes! I would love to, what do you need from me?” Peter says, a little starstruck at finding out you’re one of the most prestigious researchers in the world. 

“For now, a blood sample” you wink at him, adjusting your glasses.

Natasha sits in the back of the lab as you and Peter work together, and you explain every concept to him. This is the first time since you arrived that you don’t look so miserable.

The Russian takes it as a small win when you join her in the common area for dinner.

--

Since Peter found out about your abilities and your permanent stay at the Compound, you’ve been advising him on his project and college applications. Which is a really nice distraction, but it also makes you miss your own college days.

So, even if you’re in a better mood, it’s still hard to socialize with the team.

One day, you enter the lab to find Rogers, Wilson and Barnes looking at a screen, while Natasha types.

“Whoever encrypted this is slightly smarter than me. Only slightly” 

They look away as you drag a chair to focus on your own stuff, a cup of coffee in your hand and a cookie in your mouth.

“Hi…” you wave at them, feeling intimidated as usual.

“Hey, weather girl” Sam winks at you. 

Natasha rolls her eyes and elbows him.

“Ignore him, Y/N”

You can tell she’s getting frustrated, so you inch closer, looking at the code over her shoulder. Placing your hand on her elbow, you silently ask for permission to take over.

The redhead eyes you curiously, but stops typing and moves the keyboard your way. It takes you twenty seconds to hack into the files.

“How…?”

“I used to hack into databases to make sure my name wasn’t on any watchlist” you explain casually. Natasha laughs at that. “Anyway, there you go”

“Thanks, Y/N. You’re my hero” Natasha says, smiling up at you. Her tone makes you blush and you nod, going back to your desk.

“Nice work. We could use your help if you’re free some other time” Steve says as they leave the lab.

“Of course, Capitan” 

—

An intruder changes your mind about training. The threat is handled swiftly and you don’t even have time to hide before F.R.I.D.A.Y. confirms the suspect has been taken into custody

But you don’t even know how to begin to defend yourself, so you come back to Natasha, asking if her offer still stands.

Needless to say, the spy is more than happy to train you. Not just because it means you’re comfortable asking for things, but because Natasha can teach you something that will help you protect yourself.

You start with two sessions per week, which later turns to four, until you’re comfortable with training almost daily.

The rest of the team joins from time to time, giving you advice and helping you when Natasha’s away on missions.

After a few weeks, Natasha notices how your resistance is better and you’re building some muscle.

Only as a professional observation. It’s not like she finds you attractive, with that nerdy charm and toned arms.

One day, as you’re leaving the gym, she checks her bag, cursing when she notices she forgot a change of clothes. 

“Wanna borrow one of my hoodies?” you offer, handing over your NYU sweatshirt.

“You sure?” Natasha hesitates.

“Yeah, I got tons of these. From all the places I’ve done work or research” 

“I’ll give it back” she promises, taking it.

That turns out to be a lie.

A few days later, when you’re folding your laundry, F.R.I.D.A.Y. requests that you join Tony and Banner in the lab. Leaving the basket in the living room, you think nothing of it, nor do you notice that a couple of your sweatshirts are gone.

It all comes to light a week later, when Natasha comes back from a grueling mission. The only thing that will make her feel better is staying in her room while wearing your UCLA hoodie.

She totally forgets about her attire when she answers the door.

“Huh, so that’s where it was” you tilt your head, smiling.

“I…”

“I’m watching a movie, care to join me? It’s one of your favorites” 

“Ok” she nods, surprised that you’re not mad about the stolen sweatshirt. 

Natasha enters your room, appreciating the combination of books, notes and the board with equations. After you apologize for the mess, you offer a place to sit in your bed.

“It looks good on you” you compliment the redhead. Natasha smiles, trying to be nonchalant about it.

“Thank you” 

It becomes a habit, to steal your hoodies.

“Objectively speaking, you don’t actually need them as you can regulate your temperature” Natasha comments one day, digging through your closet. To her shock, she finds a sweatshirt with a sorority logo on it.

“Not mine. A girl I hooked up with in college” you explain.

Natasha rolls her eyes, throwing the garment as far away as possible while pulling a face. You laugh at her reaction.

“Don’t be jealous, Natty. You’re my favorite” you promise, unaware of the effect your words had on her.

“And yet you never let me wear the Harvard one”

“That was my first” you shrug your shoulders.

“First college or first hook up?” Natasha taunts and you laugh.

“A nerd never kisses and tell. Actually, a nerd rarely kisses anyone to being with” you try to joke, pulling out the Harvard sweatshirt from your closet to put it on.

Natasha eyes it, and you catch her intentions a little too late. She inches forward and you stretch your arm back, trying to place the hoodie out of reach.

“Nu-uh” you shake your head, laughing as she keeps trying to steal it. “Natasha, there are like ten other hoodies you  could take!” 

“I want this one!” she insists, jumping. Her body crashes against yours, and you both stumble, falling in your bed. Limbs are tangled and her laugh tickles your ear as she struggles to lift herself up. After a moment, Natasha smiles, looking at your lips. “Gotcha”

You don’t even know what to say, her intense stare making you feel warm -both literally and figuratively - and your heart beats faster when it seems like she’ll lean forward and kiss you.

“Agent Romanoff, there’s an urgent call for you” FRIDAY interrupts the moment. 

Natasha sighs, standing up and looking at you. 

“Catch you later?”

“Yeah” you nod, trying to hide your disappointment.

—

Natasha was gone for a week, and returned with a very bad injury. You heard the news as Steve and Tony were arguing in the kitchen, blaming each other as usual.

“Where…? Is she ok…?” you try to interrupt them, but they’re in the middle of a screaming match.

“Come with me” Maria says, taking you to a whole different wing of the Compound. Since you’ve never been on missions, you didn’t know about the Medbay.

Natasha’s lying in a hospital bed, asleep.

“She’s ok. A guy threw a knife at her, but it was only a superficial stab wound. Doctor said she’ll be discharged tomorrow” Maria eases your nerves. 

Of course, for her it’s easy to say it’s no big deal. Agents are shot, blown up, killed in the field. A little scratch is nothing, especially for Natasha. But you take a deep breath, leaving the Medbay in a rush.

As you lock yourself in the Avenger’s Lab, you make F.R.I.D.A.Y. a simple request.

“Show me the mission’s footage”

—

Natasha’s had worst, truly. But still, her head is throbbing when she wakes up. The doctor discharges her with the instruction to rest for a week. No training either.

The Russian notices a bag with clothes on the chair next to her bed. She finds your Harvard sweatshirt, which puts a tiny smile on her face.

You are nowhere to be found in the Compound when she returns, so she goes to her room to take another nap, the painkillers making her sleepy.

By the time Natasha wakes up to get something to eat, F.R.I.D.A.Y. requests her presence in the lab.

“What is it?” she says, surprised to find you working on a tablet. It looks like you haven’t slept in the last 24 hours, five or six cups of coffee around the various tables in the lab.

“I created a new technology for your suit” you jump right to it. “It has motion sensors that are triggered by incoming threats. That way, if someone tries to sneak up on you, you can either get an alert or program a defense mechanism that can be shot from any part of the suit” 

Natasha takes the tablet, running the simulation. She’s impressed with the level of detail you’ve placed on this and on such short time. She’s about to thank you, but you’re already asleep in the couch of the lab, clearly exhausted from all the work you’ve done.

The sight of your sleeping form makes Natasha’s heart flutter.

—

Movie night is the one tradition you’ve always been on board with. Coincidentally, it’s Natasha’s least favorite. Depending on her mood, she’ll join everyone on the living room, or talk you into watching something else in your room or hers.

Tonight, she stops by once the movie has already started. As usual, you’re on the couch in the far back of the room, your glasses reflecting the screen as you eat some popcorn.

“Hey” Natasha leans over the back of the couch and whispers against your ear, making you jump. Your eyes follow her as she jumps over to plop down next to you.

“You’re not supposed to be doing that with a hole on your side, Natasha” you reprimand. 

“It’s fine” she lies, grabbing some popcorn.

As the movie keeps going, the woman inches closer to you. At first you think she’s settling in her seat, but then her hand spreads on the back of the couch, dangerously close to your neck.

It’s fine. You can handle it.

Nope, you absolutely can’t. Not when you feel Natasha’s nimble fingers playing with the hairs on the back of your neck, her digits alternating between caressing the skin and scratching your scalp.

“You’re hot” she whispers at some point and you turn to look at her, dazed.

“Huh?”

“You feel hot” she clarifies a second later, her eyes looking at your lips. “Is everything ok? Those powers of yours are acting up”

“I’m fine” you nod, looking back at the screen. Aware that you are in fact increasing the temperature in the room, you take a breath and close your eyes, before anyone else notices.

You’re almost back to normal when Natasha stretches and lies across your lap, her left hand squeezing your thigh as the other one begins to trace patterns in your skin.

All while she's wearing your Harvard sweatshirt.

Your only thought is to take it off, along with the rest of her clothes and kiss every inch of her body.

“F.R.I.D.A.Y., is the thermostat broken…?” Tony finally snaps, annoyed at the sudden changes in temperature. “Never mind” 

Everyone follows his eyes as he looks to the back of the room, where Natasha is playing dumb while riling you up.

“Can you two find a room to turn into a sauna and spare the rest of us?” Tony says, which makes your eyes widen, and the room practically turns into a freezer. “Great, now we’re all turning into popsicles. Cap, you’re familiar with the feeling, right?”

“Don’t be so dramatic, Tony” Natasha finally stands up, showing you some mercy. “Come on, detka” 

“Uh, ok” you say, your voice barely a whisper as you allow the woman to drag you back to her room.

As soon as the door is shut, she pushes you against it.

“So, tell me” she says with a playful smile. “How hot do you think it will get here?”

You can only shake your head, speechless. Natasha smiles, kissing you softly. All thoughts leave your head, opening your mouth to give her access. You’ll do anything she asks, anything at all.

“I see” she smiles when the room gets hot. “Good thing we won’t have our clothes on” 

It’s the best sex of your life.

So much so, the fire alarm goes off in the entire Compound.

“Fucking worth it” you sigh as you’re both naked in bed, the water from the sprinklers evaporating from all the heat in the room.

[linddzz]

I am slamming that validation button like a rodent wanting more sugar water so here's more mostly rough draft Jayvik.

A continuation of the nicknames fic. More science dorks being dorks, this time greatly featuring some seriously questionable boundaries between totally normal lab colleagues, and much more briefly featuring Viktor being so horny it makes him stupid. Also appearing is Jayce Talis, ADHD King and allusions to Viktor's past slut era. Both fics are a sort of preview chapter in the bigger thing @amahhi and I are working on!

Thank you to @avelera for planting the idea of platonically dubious scritches in my head, and for being a constant sounding board!

Rating: PG

Pair: Jayvik pre-relationship

----

It continues to be surprising, how not surprising everything is when it comes to Jayce.

A week into the partnership, and that initial bright thrill of something new has not dulled in the slightest. Nor has the perfectly ordinary, easy comfort that he feels with Jayce. The un-remarkability of this calm is what makes it remarkable. With Jayce, there is none of the discomfort of dealing with another person. None of the abrasive tension that arises when Viktor must face other people as distinct personalities which he must contend with, instead of the larger concepts of People. People as an idea have problems that he can solve, whose suffering he can reduce without any needs for interaction causing issues.

But Jayce functions outside of these issues Viktor often finds himself in. Jayce slots into a space Viktor hardly knew existed, like there had always been this jagged edge to him that, to his great surprise, was actually part of a puzzle that Jayce had the other half to.

Past experience would have him expecting that, with time, the shine would wear off. The glow would dim. He would learn all the little faults and human contradictions of Jayce and would grow to feel that jagged tension return. Spending hours upon hours each and every day for a solid week with him have revealed Jayce’s little foibles, yet not one has grown into a frustration. In actuality, Viktor has had nothing but further data points to add weight to his newly forming thoughts of destiny and its relation to himself and Jayce. For each little fault and lacking Jayce has, Viktor can help. He can, perhaps, be the puzzle piece that returns the favor to fit neatly into Jayce's life.

For example, Jayce can grow blind to his surroundings, his mind too caught in their work. Viktor had assumed that the apartment was in the state he first found it in due to an explosive force of arcane power. He still thinks that, but he has learned that this great force was not the struck gem amplifying and reflecting the kinetic force aimed at it to exponential levels, but Jayce himself. He often forgets his keys, or his mugs, or his pencils behind an ear, his goggles on his head, his tools, everything but his journal really.

It was the third time that he left his keys in the lab (on top of twice that he came in groaning that he had locked himself out of his temporary housing), that Viktor realized what the pattern was, and that he could provide a solution.

Jayce had more important things to focus his mind on, so it was both useless and counterproductive to adjust Jayce’s behavior or habits so he could track the little necessities of life. Fortunately, Viktor is well practiced on keeping track of what he needs to. It’s a skill that was refined when he first used it to avoid detection in the Academy, and then even further developed as Professor Heimerdinger’s assistant. When Jayce left his keys behind again, the answer was simple and obvious. They were already missing from Jayce’s person, so Viktor simply took them to the sort of establishment in the lanes that would never ask any questions, but would always make a perfect copy of any keys brought to them.

Jayce’s keys were neatly returned to him, and Viktor took no small delight in waiting for the next time Jayce smacked his forehead as they left for the day, realizing that he had once again locked himself out of his rooms, to reveal his backups. There was a brief moment, where Jayce stared at the keys hanging from Viktor’s finger, when he worried in a flash that this was not something a friend or colleague should do, that he had overstepped in some way. Then Jayce snorted with his grin, called Viktor brilliant if a little terrifying, but mostly brilliant, and everything was perfect.

The key was only for Jayce’s temporary rooms in the Academy housing, but Viktor could make another set once the apartment repairs were complete, even if it seems wasteful to have Jayce eventually move out of the building that Viktor lives in.

Jayce is also wonderful at taking notes for his work, but less skilled at going back to reorganize or refine those notes. His notes are exemplary, even with the little flair of him signing every single page, but it leads to problems.

These problems are their current struggle in the cramped space of their semi-lab at some odd hour of the night. Viktor stands and contemplates the board crowded with copies of Jayce’s notes, additional observations both have about that first successful arcane spell, and Viktor’s little chalked notes next to clusters of paper denoting what sections of an article each goes to. Behind him, Jayce is not exactly pacing, which would require repeating of one path, but he is in a constant state of muttering movement with occasional bursts of frustration over paperwork.

Because they can make a fully stable arcane frame that affects the gravity within the dean’s office, but that means nothing to the academy if it is not properly written and submitted for review. They are on their fourth draft of the paper, and the initial excitement over being published has dwindled with every draft that has been returned with Heimerdinger’s cheerful blue ink slashed across the pages. One of Jayce’s faults, Viktor is finding, is that he does not take such things gracefully. It takes the second set of revisions for Viktor to realize that pride is not the primary hurt that Jayce feels, but the thread of anxiety Viktor had seen woven through Jayce’s journal. The need to prove himself, and the fear of impending failure at every turn.

“How else do they want me to explain it?” Jayce groans, and Viktor does not need to turn around to know that the perfectly clean cut hair is likely sticking out in every direction.

“I was hoping the Professor would not have edited “crank it” so quickly out of the methodology.” Viktor muses. That was his greatest disappointment. “I am deeply curious on how he expects us to find half of the citations he has requested for this entirely new scientific field.”

“And when the Academy insists there aren’t more tomes on mage lore!” Jayce snarls.

“We will have to expand outside of the Academy in the future.” Viktor agrees, turning a little to once again look over the taped up pages of their latest draft and what blue marks are where. “However, I think a more concrete description of the runic array you conducted into the stabilizer may be our ticket past many of the other issues he has found.”

Instead of grumblings or more huffed complaints, a heavy weight thumps onto Viktor’s shoulder. He pauses, realizing immediately that it is Jayce’s head that has slumped against him, and Jayce’s impressive body heat against his back indicating that there is, at most, a few inches of space between them.

“I don’t know how.” Jayce groans, but it’s less petulant and quieter, almost fearful. “I don’t know how to describe what I did.”

“Hm.” Is all Viktor can say in that exact moment. He is, briefly, distracted by Jayce’s hair brushing against his jaw with the strong scent of some sort of…of fancy wood. It is not an unpleasant scent.

“Sorry.” Jayce mutters. “Sorry, I know you’re not touchy I just- gimme a second I gotta think.”

“That’s perfectly alright.” Viktor assures him. It is alright. Jayce is correct that Viktor is not nearly as tactile as Jayce is, but he is at this point well acquainted with Jayce’s propensity towards touch. His own lack of aversion or any other strong reaction to it was one of the earliest surprises in their partnership. “Take your time gathering your thoughts. This is a far less dire circumstance than that first stabilization was.”

“You told me there was no pressure then.” Jayce mumbles, already sounding a little less miserable.

“That is because I was lying.” Viktor hums, delighted at the snort he gets, and the way he can feel Jayce’s movement from the small laugh.

“Seriously V, I just remembered that night, remembered what the mage looked like and what all the magic looked like and I…did the same thing. But it wasn’t the same thing, because no one got teleported. I don’t even know if what I did was a spell.” Viktor thinks he can feel the resonance of Jayce’s voice through his core, spreading in waves from the point where Jayce’s forehead presses down at the top edge of his shoulder.

The distraction is not a true distraction however, because Viktor catches something in what Jayce is muttering. “You can remember how he moved, what the runes he summoned looked like?”

“I remember everything about that night.”

“Yes but-” There is something here. He has already seen Jayce's remarkable skill at memorizing things that Jayce deems worth memorizing. If Jayce says he can remember it, Viktor does not doubt it. “The order of them, could you remember that?”

The head on Viktor’s shoulder shifts as Jayce rolls it slightly to one side, but he doesn’t move it in the other to shake his head. It’s a contemplative movement. “Maybe…I think so. Let me...ok this is going to sound so weird but can I just uh, hang out here for a second? It helps me think.”

“By all means.” There’s something particularly marvelous about becoming a stabilizing agent for Jayce’s mind, he would be a fool not to agree to the opportunity. As Jayce calibrates himself, Viktor once again considers their paper, the problems it has given them. Jayce had moved the dial of the stabilizing framework like a conductor, with precision. Heimerdinger wants written out theories and explanations and citations, but what if they could instead find a formula. What if the precision of Jayce’s input could be broken down into components and quantified…

His free hand moves with habitual lack of awareness to where it would usually begin fiddling with his own hair, and it takes a few moments for him to notice the slight change in both texture and location of the hair he is rolling between his fingertips. Even then, he only notices because Jayce’s head becomes an even heavier weight on his shoulder.

“Ah, apologies.” He says, stopping the movement, thinking this might be a thing to feel awkward about. “Force of habit, it helps me think.”

“No, s’fine.” Jayce says, voice thicker in a way that is dangerous for Viktor’s higher thought processes. “It’s nice, actually. I don’t mind.”

After a second, Viktor continues. This time he notes the finer texture of Jayce’s hair. It’s very soft, sleek almost, with traces of the gel he uses to style it making sections of stiffness that crunch away under Viktor’s fingers.

“You smell nice.” Jayce mumbles.

A response to that requires some consideration. Viktor…considers.

There was a time, not all that long ago, where he would have leapt on someone with Jayce’s build telling him he smelled good while standing a scant inch away from Viktor. He would have assumed that the intent was for him to leap. Viktor is more discriminating than he used to be about sexual escapades, mostly because he began finding the nights spent on dalliances not worth the distractions, but even he can admit that if Jayce had put a head on his shoulder and told him he smelled good a week ago, Viktor would know exactly how to respond. It would have involved leaning back against that broad heat, turning lightly twirling fingers into a fist in Jayce’s hair, then gleefully seeing where things went from that point.

But now…

Jayce fits in like a missing puzzle piece. Whatever Jayce is, it is not one of Viktor’s brief encounters. Viktor would want to tell Jayce he didn’t need to get his apartment repaired, when Viktor lives much closer to the lab and things would be much more efficient if they lived together. Viktor can be wildly in love with this man in every definition of love that exists, but romantic or sexual entanglements (and if there is one, Viktor very much wants the other as well) often end. In Viktor’s personal experience, they ended before morning, and that was only considering the sexual entanglement. Heightened intimacy was desperately tempting, but it risked a greater end to the entire partnership. Even if nothing ever started, a proposition alone could forever poison what there already is.

Jayce is tactile in a very casual way. He flirts with everything that smiles at him for more than three seconds, and there has been nowhere near enough data for Viktor to calculate the risk of losing that side of the puzzle, or how much of a reward he would gain from taking that risk.

“Thank you.” He says eventually, slow and still considering. Then, because that feels incomplete and awkward, he adds, “I use soap.

Jayce snorts again, the head on Viktor’s shoulder shaking as Jayce’s body shakes with quiet laughter. Viktor knows he is shaking with it, because every other hitch up of Jayce’s shoulders causes a tiny sway forward, which bumps Jayce’s chest against Viktor’s back. Each of these millisecond bits of contact makes Viktor once again run through the considerations of risk versus reward in relation to getting his hands on that chest. Under the shirt. He would need both hands. There is an awful lot of chest, after all. Maybe both hands and his mouth. Definitely all three. It really is so much chest.

He takes the fantastic effort to rein his mind away from Jayce’s prodigious chest, even more effort to pull it further from contemplating the amount of shoulder matching that chest and what the rest of the torso probably looks like. There should be a response in kind to Jayce’s. A friendly compliment to return a compliment.

“Your hair is very soft.” He decides, as that seems safe as well as relevant to Jayce's compliment. Jayce’s silent laughter turns into some small hitched sounds that near a squeak, which means that Viktor’s thoughts are successfully pulled away from the sexual distractions, but only into the romantic sort.

“Thank you.” Jayce says with a dreadful mimic of Viktor’s accent, which only strengthens Viktor’s resolve to not take any uninformed risks that could lead to him losing this, “I use a leave-in conditioner.”

Viktor’s hand drops from Jayce’s hair, and he turns his head as much as he can to shoot a baffled look at the top of Jayce’s head.

“Why the fuck would you leave in a hair conditioner?” He asks, affronted. “Conditioner already feels dreadful. It’s heavy and slimy, absolutely horrendous.”

Jayce shoots up (which is a shame) so that he can lean around and give Viktor a look of equal outrage. “What does- Viktor it’s a different thing from- do you not use conditioner!?”

“Of course not. It feels terrible, I already said that.” Jayce makes a pained sound, and Viktor waves him off. “Enough of that nonsense. It is a waste of time. I have an idea.”

Jayce moves up next to him, facing Viktor with an intent eagerness. “What is it?”

“You are going to describe to me exactly what you remember. Each rune, each movement, as much as you can.” Another thought occurs to him, and Viktor snatches his cane from where it’s leaning on the board so he can turn to the inert stabilizing frame sitting on a table. “And I want you to dial in the stabilizer as you did in Heimerdinge’s lab as you do so. I will record everything. I believe there may be something we can measure, some sort of constant in the timing and the runes used, a way to-”

“We can make it an equation.” Jayce interrupts, breathless and awed, knowing what Viktor is thinking without Viktor needing to explain any of it. He so deeply wishes Heimerdinger had let them keep “crank it” in the paper. “Something concrete.”

“Precisely. The runes are instructions, a code. Perhaps the clockwise and counter-clockwise cycles of them are additional instructions. We can use your stable field as a baseline to begin working on a formula.”

“We can give them a solid theorum.” Jayce is already rushing to the stabilizing frame, even recreating the hunched over pose he had that wondrous night. “Okay, tell me when you’re ready.”

Any thoughts on conditioner or smells are gone. In the future, it will be as common as breathing for them to be drawn together when they need help thinking. Jayce’s head will always find Viktor’s shoulder, and Viktor will learn that playing with Jayce’s hair further settles his restless mind and channels his thoughts towards solutions. Whatever else there is, the most important goal to further all other goals of Viktor’s life is to keep the partnership. In the partnership there is the work, the thrill. The endless infinitesimal ways they fit together, two pieces destined to find the other. In the moment, Viktor takes up his notes and marvels again on the nature of fate, of probability, and of magic.

[nasa]

9 Out-of-This-World Moments for Space Communications & Navigation in 2023

How do astronauts and spacecraft communicate with Earth?

By using relay satellites and giant antennas around the globe! These tools are crucial to NASA’s space communications networks: the Near Space Network and the Deep Space Network, which bring back science and exploration data every day.

It’s been a great year for our space communications and navigation community, who work to maintain the networks and enhance NASA’s capabilities. Keep scrolling to learn more about our top nine moments.

The SpaceX Falcon 9 rocket carrying the Dragon spacecraft lifts off from Launch Complex 39A at NASA's Kennedy Space Center in Florida on Thursday, Nov. 9, 2023, on the company's 29th commercial resupply services mission for the agency to the International Space Station. Liftoff was at 8:28 p.m. EST.

1. In November, we launched a laser communications payload, known as ILLUMA-T, to the International Space Station. Now, ILLUMA-T and the Laser Communications Relay Demonstration (LCRD) are exchanging data and officially complete NASA’s first two-way, end-to-end laser relay system. Laser communications can send more data at once than traditional radio wave systems – think upgrading from dial-up to fiber optic internet. ILLUMA-T and LCRD are chatting at 1.2 gigabits per second (Gbps). At that rate, you could download an average movie in under a minute.

NASA’s InSight lander captured this selfie on Mars on April 24, 2022, the 1,211th Martian day, or sol, of the mission.

2. Data analyzed in 2023 from NASA’s retired InSight Mars lander provided new details about how fast the Red Planet rotates and how much it wobbles. Scientists leveraged InSight’s advanced radio technology, upgrades to the Deep Space Network, and radio signals to determine that Mars’ spin rate is increasing, while making the most precise measurements ever of Mars’ rotation.

TBIRD is demonstrating a direct-to-Earth laser communications link from low Earth orbit to a ground station on Earth.

3. We set a new high record! The TeraByte InfraRed Delivery (TBIRD) payload – also demonstrating laser communications like ILLUMA-T and LCRD – downlinked 4.8 terabytes of data at 200 Gbps in a single 5-minute pass. This is the highest data rate ever achieved by laser communications technology. To put it in perspective a single terabyte is the equivalent of about 500 hours of high-definition video.

A 34-meter (112-foot) wide antenna at Canberra Deep Space Communications Complex near Canberra, Australia.

4. This year we celebrated the Deep Space Network’s 60th anniversary. This international array of antennas located at three complexes in California, Spain, and Australia allow us to communicate with spacecraft at the Moon and beyond. Learn more about the Deep Space Network’s legacy and future advancements.

An illustration of the LunaNet architecture. LunaNet will bring internet-like services to the Moon.

5. We are bringing humans to the Moon with Artemis missions. During expeditions, astronauts exploring the surface are going to need internet-like capabilities to talk to mission control, understand their routes, and ensure overall safety. The space comm and nav group is working with international partners and commercial companies to develop LunaNet, and in 2023, the team released Draft LunaNet Specification Version 5, furthering development.

The High-Rate Delay Tolerant Networking node launched to the International Space Station in November and will act as a high-speed path for data.

6. In addition to laser communications, ILLUMA-T on the International Space Station is also demonstrating high-rate delay/disruption tolerant networking (HDTN). The networking node is showcasing a high-speed data path and a store-and-forward technique. HDTN ensures data reaches its final destination and isn’t lost on its path due to a disruption or delay, which are frequent in the space environment.

The Communications Services Project (CSP) partners with commercial industry to provide networking options for future spaceflight missions.

7. The space comm and nav team is embracing the growing aerospace industry by partnering with commercial companies to provide multiple networking options for science and exploration missions. Throughout 2023, our commercialization groups engaged with over 110 companies through events, one-on-one meetings, forums, conferences, and more. Over the next decade, NASA plans to transition near-Earth services from government assets to commercial infrastructure.

Middle and high school students solve a coding experiment during NASA's Office of STEM Engagement App Development Challenge. 

8. Every year, NASA’s Office of STEM Engagement sponsors the App Development Challenge, wherein middle and high school students must solve a coding challenge. This year, student groups coded an application to visualize the Moon’s South Pole region and display information for navigating the Moon’s surface. Our space communications and navigation experts judged and interviewed students about their projects and the top teams visited NASA’s Johnson Space Center in Houston!

A SpaceX Falcon 9 rocket soars upward after liftoff at the pad at 3:27 a.m. EDT on Saturday, Aug. 26, from Kennedy Space Center’s Launch Complex 39A in Florida carrying NASA’s SpaceX Crew-7 crew members to the International Space Station. Aboard SpaceX’s Dragon spacecraft are NASA astronaut Jasmin Moghbeli, ESA (European Space Agency) astronaut Andreas Mogensen, JAXA (Japan Aerospace Exploration Agency) astronaut Satoshi Furukawa, and Roscosmos cosmonaut Konstantin Borisov.

9. The Near Space Network supported 19 launches in 2023! Launches included Commercial Crew flights to the International Space Station, science mission launches like XRISM and the SuperBIT balloon, and many more. Once in orbit, these satellites use Near Space Network antennas and relays to send their critical data to Earth. In 2023, the Near Space Network provided over 10 million minutes of communications support to missions in space.

Here’s to another year connecting Earth and space.

Make sure to follow us on Tumblr for your regular dose of space!

[kodestreetechnologies]

Master Data Science Course in Bangalore: Enroll with Kodestree Today!

Best Data Science Course In Bangalore

If you're looking for the ultimate Data Science Course in Bangalore, Kodestree offers the perfect platform to kickstart your data science journey. Whether you're a beginner or looking to refine your expertise, Kodestree's program combines theoretical knowledge and practical skills, making it the ideal choice for professionals and newcomers alike.

About The Course

Kodestree’s Advance Data Science Course is designed to help you master key concepts such as data analysis, machine learning, and visualization. Covering tools like Python, SQL, Pandas, and NumPy, the course provides a well-rounded education. With over 30 hours of on-demand video content, downloadable datasets, and practical assignments, learners acquire hands-on experience and industry-relevant skills.

Kodestree - Data Science Course Includes

30+ hours of immersive video lectures.

Python and SQL code notebooks.

Downloadable datasets for real-world practice.

Assignments and quizzes to track progress.

A Data Science Certificate upon completion.

Flexible online learning designed for all levels, from Data Science For Beginners to advanced professionals.

About Kodestree

Kodestree is a trusted name in tech education, providing cutting-edge Data Science Programs tailored for the evolving needs of the industry. With a focus on project-based learning, their courses equip students with the skills needed to thrive in a data-driven world. The faculty includes experienced professionals passionate about helping learners succeed.

Affordable Data Science Course

At just ₹20,000 (discounted from ₹28,000), Kodestree ensures affordability without compromising quality. Learners also gain access to lifetime course materials and a globally recognized Data Science Certificate.

Data Science Course Industry Masterclass

Kodestree’s Data Science Online Course in India offers in-depth insights into industry trends. Their curated content ensures students stay ahead in domains like Data Science Statistics, machine learning, and visualization. Hands-on projects provide Data Science Great Learning experiences essential for mastering the field.

What is Data Science?

Data science is a multidisciplinary field that uses data to extract meaningful insights, solve complex problems, and drive decision-making. At its core, data science combines several disciplines, including statistics, mathematics, programming, machine learning, and domain expertise, to analyze large and complex datasets.

Key Components of Data Science:

Data Collection: Gathering data from multiple sources, such as databases, APIs, web scraping, or sensors.

Data Cleaning & Preprocessing: Removing inconsistencies, errors, or missing values to make the data usable.

Exploratory Data Analysis (EDA): Understanding the data through visualization and summarization techniques.

Statistical Analysis: Applying mathematical methods to find trends, correlations, and patterns in the data.

Machine Learning & Predictive Modeling: Building algorithms that can predict future outcomes or classify data.

Data Visualization: Presenting results using tools like Matplotlib, Tableau, or Power BI to make the insights understandable to non-technical stakeholders.

Communication: Sharing insights in a way that drives actionable business decisions.

Applications of Data Science:

Healthcare: Predicting disease outbreaks, personalizing treatments, and analyzing patient data.

Finance: Fraud detection, risk analysis, and stock market prediction.

E-commerce: Recommending products, improving customer experience, and demand forecasting.

Social Media: Sentiment analysis, trend prediction, and content recommendation.

Retail: Optimizing supply chains and enhancing customer segmentation.

In essence, data science helps organizations harness their data to create value, reduce costs, improve operations, and remain competitive in a fast-changing world.

Who is a Data Scientist?

A data scientist is a professional who uses analytical, statistical, and programming skills to extract insights from data and solve real-world problems. They bridge the gap between data and decision-making, transforming raw information into actionable business insights.

Key Roles and Responsibilities of a Data Scientist:

Data Analysis: Extract, clean, and analyze structured and unstructured data.

Model Building: Develop predictive or descriptive models using machine learning algorithms.

Data Visualization: Create dashboards and visual reports to make complex data understandable.

Communication: Explain findings to both technical and non-technical stakeholders.

Problem Solving: Design solutions for business problems by leveraging data.

Experimentation: Test hypotheses and validate assumptions through statistical methods.

Collaboration: Work with teams like engineering, product, and business to implement data-driven strategies.

Skills of a Data Scientist:

Programming: Expertise in Python, R, or SQL.

Mathematics & Statistics: Deep understanding of probability, linear algebra, and statistical methods.

Machine Learning: Familiarity with algorithms like regression, clustering, decision trees, and neural networks.

Big Data Tools: Proficiency in working with tools like Hadoop, Spark, or databases like MongoDB.

Communication: The ability to translate complex analyses into actionable business language.

Why Are Data Scientists Important?

Data scientists play a pivotal role in organizations as they uncover trends, predict outcomes, and support data-driven decision-making. For example, they can predict customer churn, recommend products, or improve operational efficiency.

Why Choose Kodestree?

Expert-led training from industry professionals.

Comprehensive curriculum covering Data Scientist Introduction to advanced topics.

Flexible, online learning modules.

Recognized Data Science Certificate Programs.

Real-world projects to prepare for industry challenges.

Student Reviews

Kodestree’s course was a game-changer! I went from a beginner to a confident data scientist. Highly recommend their Data Science Programs. – Priya K.

The instructors were exceptional, and the course content was top-notch. Kodestree’s affordable pricing made learning data science accessible. – Rahul S.

This was the most engaging Data Science Online Course in India I’ve taken. Loved the hands-on projects and personalized support. – Ananya M.

Popular FAQs

What is the duration of Kodestree’s Data Science Course?

The course spans 7 weeks, with flexible self-paced learning options.

What tools are covered in the course?

You’ll learn Python, SQL, Pandas, NumPy, Matplotlib, and more.

Does Kodestree provide a Data Science Certificate?

Yes, a globally recognized certificate is awarded upon course completion.

Can beginners enroll in this course?

Absolutely! The course is designed for Data Science For Beginners and professionals alike.

Is this an online or offline course?

Kodestree offers an online course for flexible, remote learning.

What is the fee structure?

The course costs ₹20,000, discounted from ₹28,000.

Does the course include real-world projects?

Yes, hands-on projects are integral to the learning experience.

Take the first step toward a data-driven future with Kodestree’s Data Science Course in Bangalore. Enroll today and earn your Data Science Certificate

[inspired-lesson-plans]

A few years ago, I got briefly obsessed with (and had a Tumblr post break containment about) the then-ongoing downfall of Cornell marketing professor Brian Wansink, an influential food psychology researcher who turned out to have been doing scientific fraud on a massive scale. This ranged from having grad students record every random thing they possibly could about a study and then slicing and dicing the data until they found a correlation between two random things that met a statistical significance threshold and only reporting that, to impossible data, to copy-pasting thousands of words between allegedly unrelated papers, to extremely basic arithmetic errors like sample sizes that don't add up. The scientists who exposed him dissected several dozen of his papers, but he's published over 200, and pretty much all of them seem to be like this. I've thought ever since that it would make a great school activity to bring in a stack of random Wansink papers and challenge the class to see how many problems they can find.

Oh, I've heard about this guy! I think they talked about him on an episode of Freakonomics, or else somewhere on NPR.

Academic dishonesty, especially regarding scientific publications, it's something very near and dear to my heart. And the fact that this guy produced so many in easy, delightful, daytime talk show style. Scientific headlines means that I think I know the angle I would want to take with this just because somebody says that something is science, doesn't mean it is. It's not a matter of you. Can't trust the mainstream media, it's a matter of people need scientific literacy in order to be trustworthy when reporting science.

But the reason why I'm responding to this ask instead of just making a lesson plan, Which I do intend to do, is that I never ever actually took any classes on scientific methodology. All I know about p-values I learned from Khan Academy and Wikipedia.

So do you think we could collaborate?

If I draft up a lesson, could you proofread it for me to make sure that it's got all the information that you would like to see students learn?

And if anyone else knows any way they can help, please leave a comment or DM me. I'll be grateful to gain a better matter of this topic.

[tsukisangel]

evil scientist

characters ꕤ senku ishigami, gn! reader, yuzuriha ogawa, chrome, kohaku

cw/tags ꕤ fluff, established relationship, not proofread

wc ꕤ 835

“yuzuriha!” you sang, going into the craft hut. 

she swiftly finished the dress she was working on and turned to you. “y/n? nice to see you!”

“you too! that dress is beautiful!” you went up to her, holding out your hands for the dress. she gladly handed it to you for you to inspect. since you were revived, you’d been taking up sewing and helping her out a bit. you wanted to do it before the petrification, so this was a great chance to do it. you were being helpful, and you got to learn something fun.

“thanks.” she grinned. she pointed to the sketches on the table. “these are all the ones i’m making. you have time to help me out?”

“definitely later! i’m actually looking for senku? do you know where he is?” you ask as you look through the designs. they were beautiful. yuzuriha would’ve ended up being a famous designer in the modern world had this been her goal.

“ohh, looking for senku, huh?” she teased. you blushed. “you checked the lab?”

“i did! i went to chrome’s resource hut, the lab, even the observatory!” you sighed. “nowhere to be found.”

she hummed. “chrome should be around. i’m sure he or kaseki would know.”

“you’re right. let me go ask him. thanks! i’ll see you tonight to help with these dresses.” you smiled at her. she grinned and nodded, then went back to efficiently working.

she might be done by the time you returned.

you walked out of the hut, looking around and spotting chrome getting a beating from kohaku. you sighed, walking over. “wait!” you exclaimed to kohaku. “i need some info from him.”

she chuckled, motioning to the beaten man on the floor. “he’s all yours.”

you laughed, crouching down. “you okay?” you asked.

he shot right up, grinning. “of course i am!” he exclaimed. he wasn’t even looking at you.

you shook your head. “where’s senku?” you asked.

“you said there’s zeku? who’s zeku?” he fell down to the ground.

you laughed again. “senku!” you exclaimed to him.

“huh?”

you jumped at your boyfriend’s voice, turning to him. “where did you come from?!” you furrowed your brows.

he shrugged. “you need somethin’?”

“uh,” you looked around at the many people, “can we talk in the lab?”

he nodded. “good idea. was on my way there now.” he started walking, and you followed closely behind him.

“whatcha makin?” you asked.

he sighed. “the mentalist wants glue.” he shrugged. “it’ll be useful for other things anyway.”

you giggled, and he raised a brow at you. “it’s just funny.” you poked his shoulder. “you act like you do everything for yourself. you act like you help others to benefit yourself.” you smiled. “but you just like making your friends happy, hm?” you teased as the two of you walked into the lab.

he rolled his eyes. “not this again.”

as the door shut and he started walking, you wrapped your arms around him from behind. “you can’t deny it around me!” you rested your head on his back, holding him close. he continued with his work.

“you can believe anything you want. doesn’t make it true.” you felt the vibrations of his voice in his back.

“yes it does! it’s science, isn’t it? psychological science.” you grinned. “the data is everything you do for everyone. the cola for gen, the glue for gen, the medicine for ruri, oh suika and kinro’s glasses! the list goes on. those were all for others. not you.”

he shook his head. “the problem with your psychology is that it can be disputed. i’m making glue for myself and for gen. i have a future science project that may need it.” he moved a bit, and you got off of him. he grabbed the rest of what he needed as he spoke. “the cola was in exchange for a favor gen did for me. the medicine was to get the villagers to join the kingdom of science.” he moved back to his spot, and you went right back to the same position you were in, with a smirk on your face. “the glasses were so suika could be better at recon, and so that kinro could properly defend us. does that not also count as scientific data?”

“and what about when you grabbed everything you needed just now?” you asked. he stopped moving for a moment. “you usually grab it as you go. this time, though, you grabbed it all and set it down. why is that senku?” you hummed.

“the warmth feels nice.” he said softly.

you gasped, your heart pounding in your chest. the sounds of bottles clinking and liquids mixing replaced your teasing. “oh.” you mumbled.

“still benefits me.” he chuckled.

you huffed. “whatever.” you grumbled, and the comfortable quiet in the room came back as he worked, and as your heart raced. he could be so unintentionally flirty sometimes. he flustered you without even meaning to. what an evil, evil scientist.

a/n ⋆ obsessed. i'm obsessed. with him, with dr stone, i just finished what's out of season 4, i'm in shambles, it's 3 in the morning!!!!!!!!!!!!! anyways. i love senku ishigami and i love this. the end

if i get any dr stone readers out of this, i usually write for haikyuu! this is my first and currently only dr stone fic. just keep that in mind if you check out my masterlist!

m.list

previous work (your laugh) | next work (pick up lines)

[drdemonprince]

I was never really certain about my transition in the way that most gatekeeping hormone prescribers and curious members of the public demand that a trans person be. I didn’t “always know” that I was not cisgender. I haven’t “always known” anything about myself. Very few truths about me have always remained true, my existence is too interpersonal, contextual, and ever-evolving for all of that. (So is most everyone else’s, I think). I don’t think that the fact I’d eventually choose to exercise my body autonomy at age 30 by taking hormones is a decision I could have foreseen when I was a child. All that I knew about being transgender when I was a kid was a fact that most children intuitively know: gender assignment was a violation of my freedom, of everyone’s freedom in fact, and it was wrong. As an infant and then a child and teenager, people kept imposing labels on me; they kept forcing me and my body into prescribed gendered boxes, and while the specific labels and boxes never really felt like the right ones, the most disturbing part about it all was the forcing. No coerced identity would have ever felt right. Children can tell when secrets are being kept from them, and when adults are restricting their choices. They notice that they and the other children are being lined up boy-girl, boy-girl, without ever being told what a girl or a boy even is. They can see their parents frowning when they reach for the doll with the shimmery hair, or climb atop the neighbor kid on the playground. Kids know that they are forbidden from sitting with their legs spread wide or flicking their wrist, and their gender illegibility is shamed in them, long before they get any answers about what gender means or where it comes from or why it’s so important that they make themselves easy to understand.

Like the cloned children in Never Let Me Go who grow up being conditioned for a life of forced organ donation, children in a cissexist society grow up conditioned to fall within certain gendered boundary lines, and by the time they learn that the reason for this is almost completely arbitrary, they can’t imagine any alternative. Not until some of them hear about gender transition and find the prospect very compelling, for some reason. You can say that reason is because some of us are inherently trans, but there’s absolutely nothing in the way of brain science, genetics research, or even sociological data to back that up. Besides, the search for a biological “reason” that people are transgender or queer runs counter to the goal of queer liberation in the long run. Science only needs to explain the existence of transgender people (or queer people more broadly) if our existence is in some way aberrant or a problem. If queerness is accepted as a form of human diversity that simply exists, then there is no need to excuse it by claiming that it is never a choice. It can be a choice, if a person wants to make it, and hopefully it satisfies them, but maybe it won’t. Freedom to choose means freedom to forever be dissatisfied, to search endlessly for more, and yes, to capable of making a mistake. I would say that viewing myself as transgender was a choice. I decided to break away from the straight, female categories to which I had been assigned, and doing so allowed me to view the legal and societal power structures that had restricted me more clearly. It helped me better understand myself. But that does not mean the actual act of breaking away was always the truest reflection of who I am. The version of me that transitioned was a person on the run — and how a person behaves, thinks, and self-conceives when they are fleeing is not a great reflection of whom they might be if they were safe. If we all lived in a world free from mandatory gender assignment, and where our bodies were not mined for meaning about the kinds of sex we liked, the clothing we should wear, the personality qualities we have, the roles we should play in society, and the connections we are allowed to form with others, who knows who each of us might be. But none of us get to live in that world, or ever gets completely free from the frameworks of heterosexuality and the gender binary. These frameworks shape every legal institution we encounter, every school we attend, every item of clothing we put on, every substance we take into our bodies, every piece of paperwork that ever gets printed about us, and every look another person ever gives us. And so we make due with rewriting and recombining those frameworks as best we can. It should come as no surprise that those us who break away from the binary have to experiment and revise how we understand ourselves quite a bit — sometimes getting things “wrong,” sometimes searching forever for the semblance of something “right.” Sometimes reveling in the “wrongness” of all the available options is kind of the point.

I wrote about my detransition, retransition, and the eternal dissatisfaction that is probably the corest truth of my identity. It's free to read or have narrated to you on my Substack.

[literaryvein-reblogs]

Writing Notes: Dreams

Dreams - images, emotions, or sensations the brain produces during sleep.

While dreaming can occur during any stage of the sleep cycle, rapid eye movement sleep (also known as REM sleep) produces the most memorable and vivid dreams.

There are many types of dreams, including healing, prophetic, recurring, lucid, and nightmares.

You can have multiple dreams per sleep session, which can be as short as 10 seconds and as long as 45 minutes.

Types of Dreams

People can have several types of dreams. While the possibilities are limitless, some common categories include:

Flying dreams: Many people dream they can fly. These dreams are often pleasant and even euphoric. Dreamers might associate these dreams with sensations of freedom, fearlessness, and empowerment.

Lucid dreams: The sleeper becomes aware they are dreaming while in a lucid dreaming state and can retain some control of their body and thoughts within the dream.

Nightmares: These are fear-inducing dreams. In this case, the dream state might be the brain’s way of processing daily stressors. Common causes of nightmares or bad dreams include poor eating habits, traumatic events, illness, sleep deprivation, sleep disorders, or medication.

Prophetic dreams: In prophetic dreams, people see future events occur before they happen in real life. Some believe these dreams mean a person has predicted the future, while others believe prophetic dreams are the subconscious preparing you for a likely outcome.

Recurring dreams: These are dreams a person repeatedly experiences over a sleep session or multiple sleep sessions. Recurring dreams contain the same or similar imagery and sensations in prior occurrences and can also occur as recurring nightmares. Various theories suggest that recurring dreams result from risk avoidance, internalized fears, or other unresolved issues.

Stress dreams: Another common dream phenomenon involves stress. While not outright nightmares, stress dreams are often tense and unpleasant. Many people report dream content that involves tests for which they are unprepared or other situations that are confusing or difficult.

Dream Theories

There is no clear scientific explanation for the function of dreams, but there is a range of theories.

Sleep expert Matthew Walker says, “The origin of dreams or the belief of where dreams come from has a very storied history and past.”

The study of dreams is a large and growing field of scientific inquiry, and theories continue to emerge from neuroscience, psychology, psychiatry, and cognitive science.

Some notable examples of dream theories include:

Emotional processing: One theory is people dream to process emotions. Dreams can often be emotionally charged, and by dreaming, people might work through emotional challenges and better prepare themselves for the difficulties of everyday life.

Learning assistance: Some researchers suggest the purpose of dreams is to learn new skills and sharpen problem-solving abilities. When a person focuses on learning a new skill or working through a challenging problem, they might dream about the activity to help them complete the task.

Memory consolidations: Another dream theory holds dreams are instrumental in forming new memories. While the precise mechanism remains mysterious, some sleep experts believe dreaming in the REM stage helps the brain consolidate short-term memories and store them as long-term memories.

Mental organizing: Some sleep experts believe dreaming is a way to organize mental space. During sleep, a person’s mind sifts through the sensory data they encountered while they were awake, making important neural connections where necessary and editing out extraneous information.

Otherworldly communication: Many religious traditions maintain dreams are a way to connect with other worlds or dimensions. Many believe dreamed encounters with departed loved ones contain great significance. “Back in ancient Roman and Greek times, they believed that our dreams were being gifted to us from on high, from in the heavens, from specific gods,” Matthew says. “And then other cultures, for example, Eastern Asian cultures, believed that dreams were coming from somewhere in our soul, perhaps somewhere in our body.”

Random noise: Some researchers believe dreams don’t have any particular purpose and are a byproduct of an active brain. This random brain activity might not have any other special purpose.

Unconscious desires: Austrian psychotherapist Sigmund Freud’s theory posits dreams are expressions of the unconscious mind’s desires. If people cannot express desires in their waking life, the unconscious mind might enact them as fantasies during sleep. “[Freud] made, in some ways, the science of dreaming a brain science [or] a neuroscience,” Matthew says. “Because it was Freud who suggested that it was somewhat in the mind of each of us that our dreams were coming from. That was the repository of dreaming.”

How to Remember Dreams

Everyone dreams at night, but few people can remember their dreams. Consider the following tips for recalling your dreams:

Establish a good sleep routine. Having a regular bedtime and waking time is a good way to practice healthy sleep hygiene, which might help you recall your dreams.

Focus on recall right after waking. The memory of a dream fades fast, so you are most likely to recall your dreams right after you wake up.

Keep a dream journal. By recording your sleep stories in a dream journal, you will build a habit of recalling your dreams more often. As you write down the details of your dreams, you might strengthen your ability to remember even more.

Wake up gently. If you wake up abruptly, you are likely to jolt into your waking mindset, and any fragments that might remain of your dreams will quickly disperse. Try using an alarm clock that has gentle sounds. Soft, low-volume music or voices can also assist in a smoother transition to waking life, making dream recall easier.

“Dreams are visual. They're filled with motor activity. We tend to be doing things. Are they filled with past autobiographic memories? Yes, very often. Are dreams sometimes emotional? They can be, very much so. Are dreams irrational, illogical, or bizarre? Yes, very much. And so brain science has given us the first neural evidence for describing the way in which we experience this strangest of all things called the dreaming state.” — Matthew Walker, neuroscience professor

Source ⚜ More: Notes & References ⚜ Writing Resources PDFs

[hellsite-proteins]

AlphaFold Nobel Prize!

Hey everyone :) this isn't a structure, but there is some protein news that is pretty relevant to this blog that I felt I had to share. This article gives a nice overview of AI-predicted protein structures and what sorts of things they can do for research. It's not too long, and I recommend taking a look

If you've been seeing my posts for any amount of time, I've absolutely given you a flawed view of how useful AF can be. Experimentally determining protein structures is a demanding and difficult process (I've never done it, but I've learned the overview of how x ray crystallography works, and I can only imagine how much work it would take). AI-generated structures are not going to make structural biology obsolete, but they are massively helpful in making predictions that go on to guide further research.

While in many fields (especially creative areas like art and writing) AI has significant ethical concerns, I feel like this sort of use of AI in science is an overwhelmingly positive thing. The data used to train it is publicly available, and science works by building on the work done by those before us. Furthermore, while AI may not be great at generating new ideas or copying humans, it is very good at sorting large amounts of data and using it to make predictions. It's more akin to very complicated statistics than an attempt at the Turing test, and in this case it is a valuable tool to expand the ways we can do science!

[astrologydray]

♊️Gemini Mc in the each of the degrees🎭

If you have a Gemini Midheaven (MC), your career and public image are influenced by Gemini’s themes of communication, versatility, and intellectual curiosity. You may thrive in fields involving writing, media, technology, teaching, or sales.

• 0° Gemini (Gemini Point) – A natural communicator and intellectual. Could excel in media, journalism, or public speaking.

• 1° Gemini – Highly curious and adaptable. May pursue multiple careers or work in fast-paced industries.

• 2° Gemini – An engaging storyteller; could thrive in writing, publishing, or broadcasting.

• 3° Gemini – A quick thinker with a sharp mind. Prefers intellectually stimulating careers.

• 4° Gemini – Strong networking abilities. Success comes from making the right connections.

• 5° Gemini – A master of multitasking. Likely to have a career with variety and movement.

• 6° Gemini – Drawn to education, research, or public relations. A natural teacher or speaker.

• 7° Gemini – A witty and persuasive communicator; may succeed in sales or advertising.

• 8° Gemini – Talented with words. Could excel in writing, copywriting, or language-based work.

• 9° Gemini – A restless and curious mind. May struggle with career stability but excels in learning.

• 10° Gemini – Highly sociable; could be a media personality, influencer, or journalist.

• 11° Gemini – Gifted in technology or digital communication. Could work in social media, IT, or AI fields.

• 12° Gemini – Strong intuition for trends and information. Could thrive in consulting or marketing.

• 13° Gemini – A strong need for intellectual independence. Prefers freelance or flexible career paths.

• 14° Gemini – Charismatic and persuasive; a great public speaker or negotiator.

• 15° Gemini – Quick-witted and sharp. Could thrive in legal work, politics, or academia.

• 16° Gemini – Adaptable but needs to focus on long-term career goals. May switch jobs frequently.

• 17° Gemini – A highly creative mind. Could excel in advertising, writing, or entertainment.

• 18° Gemini – A gifted mimic. Could be successful in acting, voice work, or linguistics.

• 19° Gemini – Intellectually restless; needs a career that keeps them mentally engaged.

• 20° Gemini – Naturally persuasive and influential. Could thrive in leadership or media roles.

• 21° Gemini – Highly analytical; may be drawn to careers in data analysis, research, or science.

• 22° Gemini – A master of adaptation. Could work in multiple fields or juggle side hustles.

• 23° Gemini – A strong love for debate and discussion. May be drawn to law or philosophy.

• 24° Gemini – A creative storyteller. Success in journalism, screenwriting, or podcasting.

• 25° Gemini – Exceptionally sharp and quick-thinking; could be drawn to stock trading or strategic consulting.

• 26° Gemini – A love for teaching and sharing knowledge. Could be a professor, coach, or mentor.

• 27° Gemini – Highly independent; prefers self-employment or careers with autonomy.

• 28° Gemini – A media-savvy individual. Likely to gain public recognition through words or ideas.

• 29° Gemini (Anaretic Degree) – A master communicator with an intense drive for knowledge. Could become famous for their intellect, writing, or public speaking. However, they may struggle with indecision or restlessness in their career path.