#Data Structure Homework Help

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[thepodcasthoard]

How to Audio Drama- Discover Pods

Wil Williams of Discover pods did an excellent series on 'How to Audio Drama' that you can find the table of contents for here. I'll be summarizing each article separately, but I encourage you to read them in their entirety.

Part 1: Pre-planning

Do your homework

Williams likens audio drama to creative writing. Which, fair, because it needs to start there. But as anyone who's ever taken a creative writing course can tell you, you don't just write in that class. You read a TON. You don't learn just by doing, or at least you won't learn as fast as you would by looking at great works and analyzing them. 

Williams says to do this step before you even marry your podcasts concept. This helps the creative and business parts, which she explains. 

Williams points out that articles about audio dramas tend to discuss the plot of the show and maybe a thrown-in paragraph about sound design. But she says to take a step further. Or, as it really is, closer. Think about what the story makes you feel and why. Once you get that, you have to backtrack and figure out how that podcasts creator made you feel that way. 

How to start

Listen closely, taking notes. Not just on the plot, but on sound design, pacing, acting, structure, music, everything. If you love and episode, listen to it multiple times, trying to focus on something else every time. And do the same if you hate an episode. 

[As an aside, this first article also has a fantastic list of lists she had curated, filtered by genre of podcast]

Williams says to not stick exclusively to the genre you plan to write in. Listen to trailers and first episodes of interesting-sounding shows regardless if they're similar to the show you're thinking of. And not just n

fiction podcasts, either! She writes Valence, and writes that nonfiction ones on technological news and data security inspired her, too. Think about what your podcast is about and think of what the characters would be interested in. That's how you'll find the nonfiction ones that will help. 

Business side

Williams also points out that you should think hard about your podcast name, and research thoroughly to make sure it isn't taken. Not only will it make searching for your show a nightmare, you might even get into legal trouble down the line. 

After you find out that your name is free, make sure the social media handles are also free, regardless as to if you're planning on using that specific social media site. 

[spacetimewithstuartgary]

Inside-out galaxy growth observed in the early universe

Astronomers have used the NASA/ESA James Webb Space Telescope (JWST) to observe the ‘inside-out’ growth of a galaxy in the early universe, only 700 million years after the Big Bang.

This galaxy is one hundred times smaller than the Milky Way, but is surprisingly mature for so early in the universe. Like a large city, this galaxy has a dense collection of stars at its core but becomes less dense in the galactic ‘suburbs’. And like a large city, this galaxy is starting to sprawl, with star formation accelerating in the outskirts.

This is the earliest-ever detection of inside-out galactic growth. Until Webb, it had not been possible to study galaxy growth so early in the universe’s history. Although the images obtained with Webb represent a snapshot in time, the researchers, led by the University of Cambridge, say that studying similar galaxies could help us understand how they transform from clouds of gas into the complex structures we observe today. The results are reported in the journal Nature Astronomy.

“The question of how galaxies evolve over cosmic time is an important one in astrophysics,” said co-lead author Dr Sandro Tacchella from Cambridge’s Cavendish Laboratory. “We’ve had lots of excellent data for the last ten million years and for galaxies in our corner of the universe, but now with Webb, we can get observational data from billions of years back in time, probing the first billion years of cosmic history, which opens up all kinds of new questions.”

The galaxies we observe today grow via two main mechanisms: either they pull in, or accrete, gas to form new stars, or they grow by merging with smaller galaxies. Whether different mechanisms were at work in the early universe is an open question which astronomers are hoping to address with Webb.

“You expect galaxies to start small as gas clouds collapse under their own gravity, forming very dense cores of stars and possibly black holes,” said Tacchella. “As the galaxy grows and star formation increases, it’s sort of like a spinning figure skater: as the skater pulls in their arms, they gather momentum, and they spin faster and faster. Galaxies are somewhat similar, with gas accreting later from larger and larger distances spinning the galaxy up, which is why they often form spiral or disc shapes.”

This galaxy, observed as part of the JADES (JWST Advanced Extragalactic Survey) collaboration, is actively forming stars in the early universe. It has a highly dense core, which despite its relatively young age, is of a similar density to present-day massive elliptical galaxies, which have 1000 times more stars. Most of the star formation is happening further away from the core, with a star-forming ‘clump’ even further out.

The star formation activity is strongly rising toward the outskirts, as the star formation spreads out and the galaxy grows in size. This type of growth had been predicted with theoretical models, but with Webb, it is now possible to observe it.

“One of the many reasons that Webb is so transformational to us as astronomers is that we’re now able to observe what had previously been predicted through modelling,” said co-author William Baker, a PhD student at the Cavendish. “It’s like being able to check your homework.”

Using Webb, the researchers extracted information from the light emitted by the galaxy at different wavelengths, which they then used to estimate the number of younger stars versus older stars, which is converted into an estimate of the stellar mass and star formation rate.

Because the galaxy is so compact, the individual images of the galaxy were ‘forward modelled’ to take into account instrumental effects. By using stellar population modelling that includes prescriptions for gas emission and dust absorption, the researchers found older stars in the core, while the surrounding disc component is undergoing very active star formation. This galaxy doubles its stellar mass in the outskirts roughly every 10 million years, which is very rapid: the Milky Way galaxy doubles its mass only every 10 billion years.

The density of the galactic core, as well as the high star formation rate, suggest that this young galaxy is rich with the gas it needs to form new stars, which may reflect different conditions in the early universe.

“Of course, this is only one galaxy, so we need to know what other galaxies at the time were doing,” said Tacchella. “Were all galaxies like this one? We’re now analysing similar data from other galaxies. By looking at different galaxies across cosmic time, we may be able to reconstruct the growth cycle and demonstrate how galaxies grow to their eventual size today.”

TOP IMAGE; Astronomers have used the NASA/ESA James Webb Space Telescope (JWST) to observe the ‘inside-out’ growth of a galaxy in the early universe, only 700 million years after the Big Bang. Credit JADES Collaboration

LOWER IMAGE: The galaxy NGC 1549, seen 700 million years after the Big Bang.  Credit JADES Collaboration

[samrobertwhite]

Mastering SPSS: My Journey with StatisticsHomeworkHelper.com

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[statistichomeowrkhelperblogs]

Common Mistakes Which Students Make in R Homework

Are you struggling with your R homework and seeking guidance on how to improve? Many students face challenges when dealing with R programming assignments. In this post, we'll discuss common mistakes students make in their R homework and provide tips on how to overcome them. Whether you're a beginner or an experienced R user, understanding these pitfalls will help you write your R homework more efficiently.

The Importance of Writing My R Homework Correctly

R programming language is widely used in statistics, data analysis, and machine learning. Properly completing R homework is crucial for mastering these skills and achieving academic success. Let's explore the common mistakes students often make and how to avoid them.

Lack of Understanding the Assignment

One prevalent mistake is starting your R homework without a clear understanding of the assignment. Before diving in, take the time to thoroughly read and comprehend the requirements. This will ensure you don't waste time on irrelevant tasks and can focus on the key objectives.

Inefficient Code Organization

Messy and disorganized code is a common pitfall. When writing R code, structure and organization matter. Use meaningful variable names, comment your code, and break it into logical sections. This not only makes your work more readable but also helps you and others understand the logic behind each step.

Ignoring Proper Documentation

Documentation is often overlooked but is crucial in R programming. Make it a habit to document your code, explaining the purpose of each function and variable. This not only helps you understand your code later but also assists others who may review or use your work.

Neglecting Error Handling

Every coder encounters errors, and R programming is no exception. Ignoring error handling can lead to frustration and wasted time. Learn to anticipate and handle errors effectively to streamline your coding process.

Not Seeking Help When Needed

Don't hesitate to seek help when you're stuck. Whether it's from your instructor, classmates, or online resources, getting assistance can help you overcome challenges and gain a deeper understanding of R programming.

The Role of "Write My R Homework" Services

If you find yourself consistently struggling with your R homework, consider exploring professional services that specialize in "write my R homework." These services can provide valuable insights, examples, and assistance, helping you improve your skills and academic performance.

Conclusion:

Mastering R programming requires practice, patience, and a proactive approach to learning. By avoiding common mistakes, organizing your code efficiently, and seeking help when needed, you can write your R homework like a pro. Remember, success in R programming is achievable with dedication and the right mindset.

[amparol12]

Breaking Homework Barriers: Journey to Database Brilliance

In the fast-paced world of academia, students often find themselves grappling with the intricacies of database management and SQL homework. The challenges posed by these assignments can be daunting, leaving many seeking a guiding light to navigate the complexities of database design, queries, and optimization. If you're one of those students desperately searching for "help with mySQL homework," you've come to the right place. This blog will serve as your roadmap, guiding you through the journey to unlock the secrets of database brilliance.

Unraveling the Mysteries of mySQL Homework

Help with mySQL homework is more than just a search query; it's a plea for assistance in unraveling the mysteries of structured query language and database management systems. As you embark on your academic quest, you'll encounter challenges that test your understanding of data modeling, SQL syntax, and the nuances of optimizing database performance. Fear not, for every hurdle you face is an opportunity to grow and master the art of database design.

Navigating the Database Landscape

To embark on this journey, it's crucial to understand the landscape you're navigating. Databases are the backbone of modern applications, storing and managing vast amounts of information. SQL, or Structured Query Language, serves as the key to interacting with these databases, allowing you to retrieve, insert, update, and delete data seamlessly. However, the road to becoming proficient in SQL can be winding, filled with challenges that demand attention to detail and a deep understanding of database concepts.

The Role of Expert Guidance

In your quest for database brilliance, seeking expert guidance is akin to having a seasoned navigator on your journey. Platforms like DatabaseHomeworkHelp.com are designed to provide comprehensive help with mySQL homework. These services offer a lifeline for students drowning in assignments, providing expert assistance that goes beyond mere completion to ensure understanding and mastery of database principles.

Tailored Solutions for Individual Needs

One size does not fit all, especially when it comes to mastering database concepts. Help with mySQL homework should be tailored to your individual needs and learning style. A reliable service will not only assist with assignment completion but also provide detailed explanations, clarifying doubts and reinforcing your understanding of SQL. This personalized approach is the key to breaking down barriers and fostering true brilliance in database management.

Overcoming Common Challenges

As you delve into the world of databases, you'll likely encounter common challenges that can be stumbling blocks in your academic journey. Whether it's understanding normalization, crafting complex queries, or optimizing database performance, expert assistance can make all the difference. These challenges, when conquered with the right guidance, become stepping stones to a deeper understanding of database management.

Building a Foundation for Future Success

The journey to database brilliance is not just about completing assignments; it's about building a solid foundation for future success. The skills you acquire in navigating SQL and database design will prove invaluable in real-world scenarios. As industries increasingly rely on data-driven decision-making, your proficiency in database management will set you apart in the job market.

Embracing the Learning Process

Every stumble, every challenge, and every "help with mySQL homework" query is an integral part of your learning process. Embrace the journey, knowing that each assignment is an opportunity to enhance your skills. Don't shy away from seeking assistance when needed, as it's a sign of strength to recognize your limitations and actively work towards overcoming them.

Conclusion: Your Path to Database Brilliance

In conclusion, the journey to database brilliance is not a solitary one; it's a collaborative effort that involves seeking guidance, overcoming challenges, and embracing the learning process. When faced with the complexities of SQL homework, remember that help with mySQL homework is readily available. Take advantage of the resources at your disposal, and soon you'll find yourself not just completing assignments but mastering the art of database management. Your path to brilliance starts now.

[economicshomeworkhelper]

The A-Z of Business Economics: Excelling Through Our Homework Help Services

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[ardentlurker]

my current japanese study routine

wanikani

paid subscription website that uses spaced repetition to teach you kanji & vocab, though i haven’t gotten to the paid part of it yet. reaching it pretty soon, though.

it’s pretty structured and straightforward—learn the radicals -> kanji -> vocab from the kanji then perfect it with SRS, but also pretty inflexible (can’t choose what you want to learn; if you typo on typing out a reading of a word, congrats you’re wrong) though that structured expect makes it easy for me to keep it up as a routine. can be overwhelming when you can get hit with 100+ reviews after waking up or after finding some free spot in a day….

also, can’t really do it on a commute because my data on underground trains is spotty i guess.

you’re kind of learning vocabulary & kanji in isolation, but i think the main help is taking the stuff you learned and recognising it out in the wild.

also it’s a subscription service. people have made anki decks that replicate the levels of wanikani. there’s probably other free alternatives you can consider for vocab & kanji, i guess. anki just doesn’t really stick with me, though.

anime watching

from https://learnjapanese.moe/routine/ 30 day guide where it basically recommends you watch anime with english subtitles then rewatch the episode with no subtitles. my japanese level is too weak to watch stuff with no subtitles (at most i can pick out words i guess)

honestly not that sure what effect it has has on my japanese so far. need to continue more with this—i haven’t been that consistent with the past too, because i can stop anime in the middle of watching due to getting too much 2nd hand embarrassment from characters’ actions or something.

but i guess my hobby of anime watchjng in the past also has led me to pick up some random vocab, (thanks gundam for 地球; earth, 連邦; federation….) and it’s probably good listening practice? dunno, will probably need to continue longer with this….

in-person japanese classes

uh, unfortunately this costs money. a lot more money. like, probably in the thousands in total if you eventually take to the N1.

i’m currently taking 5 days a week, 3h a day intensive classes until i start school, and will finish the N5 curriculum in 8 weeks (10 weeks in total). then i have to yeet myself off to school and will probably consider switching to twice a week classes.

makes you master stuff. i also tried to self-study ~2 weeks before attending classes, and i realised although my grammar knowledge is pretty ahead, i had a bunch of holes in vocab and writing in general. had to do a lot of number related drills (read fake made-up phone numbers but in japanese, read costs of objects, read off time off clocks, e.g.) and man when i was doing self-study i just sorta wrote down the numbers and just went “cool” and went on. oops. taught me that i probably should learn the counters in general and actually master them…

i’m tempted to resume self-studying after completing the N5 curriculum though, since i know i’ll be able to put more time in > class time. though i’ll probably need to buy a textbook this time. though the other thing is that i heard most textbooks are meant to be taught with a teacher and doesn’t go in-depth about explanations. not too sure. will have to see. i’m also not the one paying for my japanese classes (because uh. privilege) so that’ll also be something i gotta discuss

we are currently using minna no nihongo as a textbook, by the way. seems like they follow the chapters but teach the stuff in the textbook in class through stuff like flashcards and speaking drills and then later use the questions in the textbook as homework/practice.

also just learning the polite form of japanese (-desu, -masu). makes sense, and i guess i don’t really have a reason to use the informal forms at all, really. though i’d like to hang out on japanese internet communities and livestreams one day, i guess.

[rose31smith65]

Key Concepts in Data Mining: Questions and Solutions for Advanced Learners

Data mining is a vital field of study within computer science that involves discovering patterns and knowledge from large datasets. This process allows organizations and researchers to identify trends, predict outcomes, and uncover hidden insights. For students studying data mining at an advanced level, tackling complex theoretical questions is essential. In this blog, we’ll explore a couple of challenging data mining theory questions and provide expert-level solutions. If you're looking for data mining Homework Help, these insights will offer a solid foundation for your understanding.

Question 1: Explain the concept of Association Rule Mining and discuss its significance in data mining.

Association Rule Mining is a technique in data mining used to find interesting relationships or patterns among a set of items in large datasets. It focuses on identifying rules that indicate how the occurrence of one item is associated with the occurrence of another. For example, in retail, Association Rule Mining can help identify that customers who buy bread are likely to also buy butter, forming a strong association between these two products.

This concept relies on three main components:

Support: The frequency of occurrence of an itemset in the dataset.

Confidence: The likelihood that an item Y is bought when item X is bought.

Lift: A measure of the effectiveness of a rule, considering the possibility of the rule occurring by chance.

Association Rule Mining has broad applications, especially in market basket analysis, where businesses use these insights to recommend products to customers, design promotions, and manage inventory. It is also crucial in medical research, fraud detection, and e-commerce, where understanding relationships between variables can lead to better predictions and decisions.

Solution: Association Rule Mining works by generating itemsets from a dataset and applying the aforementioned metrics to identify strong rules. These rules help understand the relationships between different items in the dataset. For instance, retail companies can leverage these patterns to improve cross-selling strategies and enhance customer experience.

The significance of Association Rule Mining in data mining cannot be overstated. It plays a pivotal role in pattern discovery, helping businesses make informed decisions. Its application has revolutionized sectors like retail, healthcare, and even social media, where user behavior patterns are studied to make personalized recommendations.

Question 2: What is Clustering in Data Mining and how does it contribute to data analysis?

Clustering is an unsupervised learning technique in data mining where the goal is to group a set of objects or data points into clusters, such that objects within the same cluster are more similar to each other than to those in other clusters. The primary objective of clustering is to uncover underlying structures or patterns in data without the need for predefined labels.

There are several types of clustering algorithms, including K-means, hierarchical clustering, and DBSCAN. These algorithms vary in their approach, but they all aim to organize data into meaningful groups. Clustering is widely used in applications like customer segmentation, image processing, and anomaly detection, where it’s crucial to understand the inherent structure of data.

Solution: Clustering in data mining can be seen as a tool for exploratory data analysis. By dividing data into clusters, analysts can gain a better understanding of the distribution and relationships of data points. For example, in customer segmentation, businesses can use clustering to group customers with similar purchasing behaviors, allowing for more targeted marketing strategies.

The key advantage of clustering lies in its ability to identify patterns without prior knowledge of the data's structure. This unsupervised nature makes it particularly useful for datasets where the relationships between data points are not immediately obvious.

Different clustering algorithms can be applied depending on the nature of the data and the problem being addressed. K-means is effective when the number of clusters is known in advance and the data is spherical in shape, while hierarchical clustering is more suitable for nested data structures. DBSCAN, on the other hand, is ideal for data that contains noise or outliers.

Conclusion:

Data mining offers a powerful set of tools for analyzing complex datasets and uncovering valuable insights. Both Association Rule Mining and Clustering play key roles in this process, helping organizations understand relationships between variables and group data points based on similarity. The applications of these techniques span a wide range of fields, from retail and marketing to healthcare and beyond.

For students struggling with these topics or those needing detailed explanations, data mining Homework Help is an excellent resource to enhance understanding and achieve academic success. With the right guidance and practice, mastering data mining concepts can lead to a deeper appreciation of the field and its applications in real-world problem-solving.

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Microeconomics Assignment Help

Microeconomics is a vital branch of economics which involves the analysis of how individual households and businesses behave in decision-making on using available resources. Microeconomics explains how markets operate, the determination of prices, and consumers' and producers' interaction.

As a microeconomics student, you might find the subject of interest but may still find it difficult. Concepts get confused and assignments take up so much time. That is where The Tutors Help arrives with professional Microeconomics Assignment Help to simplify your academic life.

What Is Microeconomics?

Microeconomics examines small-scale economic activity. Microeconomics examines how individuals make decisions on what to buy and sell, and how companies make decisions on what to produce and how much to charge. Some of the important topics of microeconomics are:

Demand and Supply

Elasticity

Market Equilibrium

Consumer Behavior

Production and Costs

Market Structure (such as Monopoly, Perfect Competition)

Students have to apply theories, graphing charts, calculating and analyzing data in most instances. This would be difficult without an understanding.

Why Microeconomics Assignments Are Challenging for Students

Advanced Theories: You have to learn and implement different economic models and theories.

Graphical Analysis: In the majority of the assignments, there is drawing and interpreting supply and demand curves, cost curves, etc.

Mathematical Calculations: You have to solve equations and compute things like elasticity or profit maximization.

Time Constraint: It is stressful to complete microeconomics homework along with other subjects.

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Close the Deal: PSA Software Tactics That Work

Closing a deal isn’t just about having the right pitch—it’s about timing, confidence, and delivering an experience that assures the prospect they’re in good hands. For professional services organisations, this is where PSA (Professional Services Automation) software becomes a silent game-changer.

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Prospects are more likely to say yes when they see that your sales team and delivery team speak the same language. PSA software integrates opportunity management with resource planning and project scoping, allowing sales reps to provide accurate, delivery-ready commitments.

With visibility into available resources, bandwidth, and delivery schedules, sales teams can promise only what can be delivered—and prospects see that alignment as a sign of professionalism.

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Time kills deals. PSA tools enable rapid generation of quotes, proposals, and effort estimates using pre-built templates, billing models, and historical data. Instead of chasing multiple internal teams for information, sales teams can respond to RFPs or client queries almost instantly.

Quick, accurate, and detailed responses reflect operational maturity—and prospects are far more likely to proceed when they see you're ready to move forward immediately.

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With PSA software, you can forecast project timelines, team utilisation, and delivery risks using historical insights and real-time data. When you can confidently answer, “Can you start next month?” with a well-justified yes or no—it shows the prospect you’ve done your homework.

This transparency builds trust and helps close deals faster, especially in high-stakes, time-sensitive opportunities.

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Many deals fall apart between contract signing and project kickoff. PSA software solves this with automated handoff workflows—assigning tasks, syncing stakeholders, and aligning delivery timelines as soon as a deal is marked “won.”

Clients appreciate a seamless transition with zero downtime, and internal teams benefit from a clear, structured start.

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One underrated tactic? Use your PSA capabilities during the sales pitch. Show prospects how you'll track milestones, manage changes, maintain transparency, and provide dashboards throughout the engagement. This makes them feel like they’re not buying just a service—they’re buying peace of mind.

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Your proposal is often the first major deliverable your prospect receives. PSA platforms let you brand it, customise it, and align it with business goals—so it feels like more than a quote. It feels like a project preview.

This attention to detail can be the nudge that tips the prospect in your favour.

Wrap-Up

Closing a deal isn’t about pressure—it’s about preparation. PSA software helps your team show up informed, aligned, and in control. It bridges the gap between selling and doing, making sure the promises you make can be kept—on time and with excellence.

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CS 18000 Homework 14: Train Data Structure

Goals: ● Create a data structure that adds elements using references ● Manipulate a data structure to change or remove elements ● Traverse a LinkedList data structure to find elements Prerequisites: ● Understand the LinkedList data structure Introduction: Dynamic data structures are one of the most helpful tools for programmers managing both the planning process and the management of memory that…

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Reflective Journaling   From the first lecture, I gained this unit’s basic understanding. I learnt the course’s aim and the structure of the unit with the criteria of assessment. Stepping into this course was challenging for me since it was very different from my previous courses. The economic terminologies of this course seemed confusing. I did not know how I would do all assignments on time. I found the “icebreaker” activity an interesting exercise. In this activity, students were required to write about themselves on the pieces of paper and throw them to one another. This helped the students understand one another’s background and lifestyle in general. I also introduced myself to others and asked them what I wanted to know about them. This activity filled confidence in me so that I could communicate better. I learnt almost all conversation with my team members after this class rather than learning the professional words from the lecture. I learnt how important it was to be good at communication and to be able to engage with teams to get a better understanding of a new field. Since I had not done any prior readings, I did not completely understand this unit’s structure despite the fact that my unit coordinator had clearly explained everything. Besides, I was busy in few advanced professional expressions. I was eager about making a time management plan so that I was clear about the assignment submission due dates, homework requirements and the prior reading required. It would help improve my efficiency and time management skills. Week 2 In week 2, I liked the searching activity in which I had to use the library resources together with my team members. We discovered a lot of information about our studies by accessing the online data available at the ECU website. I found out that this online library tool enabled us to locate a variety of sources. We could easily locate references of a specific year by looking at the sources for its year range. Our team did a referencing exercise including both end-text and in-text referencing following the referencing guide of ECU. We also reviewed our first pieces of reflection and exchanged views upon that with one another. For example, my team members liked my management plan’s format whereas I liked the terminology abbreviation memorizing process proposed by my mate. This activity helped improve our formatting and research skills, and also improved my ability to cooperate with my team. There was also an activity that our team did which was least interesting. It comprised two scenarios with the same set of questions about the ACE theory of Kathleen Reardon. Understanding it with real examples would have been easier than the case study in the book. Since I had done the pre-reading of the chapter “Persuasion”, Read the full article