#quantative chemistry

[kiwiorcore]

born to write forced to calculate moles

[ranaissingle]

Coffee or Tea pt.1

Part 2

Part 3

Masterlist

Summary: Coffee Shop AU where the reader goes to the same coffee shop often to read books, study, or just drink tea and stare at the walls lol. The reader notices Austin and chaos ensues Rating: M (nothing in this chapter but other things will come later)

Pairings: Austin Butler x fem!reader Word Count: 519

Warnings: age-gap (VERY CONSENSUAL THO) Authors Note: She is 21 so there WILL BE an age gap between her and Austin and that will be addressed throughout the story multiple times. If that’s not your cup of tea, feel free to click away. Also for the sake of this story, we are going to pretend that Elvis is available to watch online without pirating it haha. This fic will be multiple parts but I wouldn't call it a slow burn either. This is the first fanfic that I am posting so be nice to me plssssss.                                          

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 College was never enjoyable save for the afternoons that y/n spent in the embrace of a comfy chair and a mug of tea while she tackled her latest homework from her Organic Chemistry class. She always seemed to spend hours at the coffee shop pouring over anatomical diagrams and periodic tables. She occupied the same table so often that the staff became accustomed to her drink order and preference for pastries.

      So here y/n sat, at the same chair, with the same drink, and the same textbooks, studying just like she always did. And like clockwork, another person came to that same coffee shop just as often as y/n and he always noticed her in the corner of the store with a crinkle in her brow and a chewed-up pen in her mouth. Austin Butler was by all means a shy guy, so much so that even though he saw her every. single. time. he came in, he had not yet said a single word to her. Even though he desperately wanted to.

~ 5 months ago ~

      It was June. And it was hot. So hot in fact, that y/n simply could not take it any longer and decided to take haven inside Crazy Love Café. Despite the weather outside, y/n smiled at the familiar barista as she went up to the front desk.

" Hey y/n! The usual?"

" Yes please!" Her reply came swiftly as she denoted it with another small smile. She paid and sat at her usual spot with a book she planned to read as well as her computer.

" ORDER FOR Y/N. A MOROCCAN MINT TEA WITH SUGAR"

     She couldn't help the smile that graced her face as took a sip of her drink and settled down in the comfy chair to start watching her movie on her computer. The Elvis movie had come out last month and being an avid listener to said singer meant that y/n was required to view this film. So, y/n propped up her computer, opened the streaming website, and put the movie to play, unbeknownst to her, the very actor in the movie had also stumbled into the same coffee to avoid the scorching heat.

     He ordered his coffee and unknowingly sat quite close to the girl viewing his movie.

“ ORDER FOR AUSTIN. BLACK COFFEE!’

    Austin relaxed back into his chair with his coffee and phone resolving to scroll through social media to pass the time. Austin eyed the décor of the shop. It was a quant café with renaissance paintings framed in gold hanging from every wall. Plants scattered the floor as well as the walls and the windows seemed to reflect the sunlight into rainbows onto the wood floor. He followed the reflection of one such rainbow to the face of a girl.

woah

      The first thought that came to Austin’s mind was soft. She looked so very soft. His eyes strayed to her computer only to find her watching, his movie? She was watching.. his movie? Austin immediately faced forward before he was caught zoning out on a girl that was watching his movie.

~ To be Continued~

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Part 2 here!

Masterlist

Thank you for reading!!! The next part will be coming soon!!!

Edit: I am new to posting fanfiction on Tumblr, so if there are other authors out there who have tips or tricks for me, that would be absolutely amazing and I would literally worship the ground you walk on, haha.

[lilias42]

✨🤩

Bonjour ! Merci pour les questions ! / Good afternoon ! Thank you for asks !

✨ Give you and your writing a compliment. Go on now. You know you deserve it. 😉 / ✨ Vous faire un compliment sur votre écriture. Allez-y maintenant. Vous savez que vous le méritez. 😉

FR : la question difficile ^^' Je dirais... j'écris de bons personnages qui arrivent à toucher à rester cohérent tout le long de l'histoire et qui peuvent avoir de bonnes alchimies familiales, qui sont les dynamiques que je préfère écrire de loin ! (et j'ai une bonne mémoire vu que je ne prend jamais de note quand j'écris, sauf quand je dessine certaines scènes).

EN : the difficult question ^^' I'd say… I write good characters who manage to stay consistent throughout the story and who can have good family chemistry, which are my favourite dynamics to write by far! (And I have a good memory, as I never take notes when I write, except when I draw).

🤩 Who is your favorite character to write? / 🤩 Quel est votre personnage préféré à écrire ?

FR : si je devais donner la palme à un de mes OCs (même si j'aime écrire tous mes OC de la même manière), je dirais surement Alix ! Il a une personnalité dynamique qui contraste bien avec celle de Rodrigue tout en étant complémentaire, c'est le personnage qui sort les punchline et n'a pas sa langue dans sa poche, et il est toujours là pour sa famille tout en remettant les gars qu'il n'aime pas à leur place ! (et vu qu'il est du bon côté du scénario, il fait bien de distribuer des mandales à ces personnages là !)

Sinon, le personnage féminin que je préfère écrire, se serait surement Ivy et Fregn à égalité, même si c'est pour des raisons opposées. Ivy a aussi une personnalité bien trempée, et j'aime écrire son affection pour Félicia et la famille de sa meilleure amie, tout comme le fait qu'elle aime sa liberté mais, elle fera quand même ce qui est juste pour tout le monde et aidera les autres plutôt que de filer pour favoriser ses propres désirs. Quant à Fregn, malgré le fait qu'elle soit mariée à Isidore et a peu de marge de manoeuvre avec lui, elle n'est jamais à court de moyens pour s'en sortir et protéger Sylvain qu'elle aime de tout son coeur. Elle reste un agent dormant très efficace, elle a toutes les armes pour mener la danse, accomplira sa mission sur le long terme et prendre sa revanche sur Isidore qu'elle finit par doubler. De plus, même si Isidore est un des personnages / OCs que j'aime le moins écrire, le voir se faire manipuler puis descendre par Fregn qui vient ensuite le narguer après tout ce qu'elle a enduré... c'est vraiment satisfaisant à écrire de le voir se prendre le retour de baton qu'il mérite 😈

Les deux sont assez opposés, Ivy ayant un caractère plus vif et sanguin qui la rend assez facile à écrire vu qu'elle dit ce qu'elle pense, là où Fregn est plus compliquée à écrire étant donné qu'elle calcule tout ce qu'elle fait, elle planifie tout et est très prudente, mais c'est très satisfaisant de voir ce que provoquent ses actions et ses mots prudents à la fin des fins, comme une toile d'araignée qui se tend petit à petit autour de ses ennemis.

Pour ce qui est des personnages repris, c'est Rodrigue qui remporte la palme : c'est un personnage que j'adore pour sa gentillesse et son amour pour sa famille alors, c'est tout ce que j'aime écrire. C'est un vrai loup protecteur avec sa meute, et il est très agréable à écrire pour ça !

EN : if I had to give the award to one of my OCs (even though I like to write all my OCs the same way), I'd probably say Alix! He's got a dynamic personality that contrasts well with Rodrigue's while complementing it, he's the character who comes out with the punchline and doesn't have his tongue in his pocket, and he's always there for his family while putting the guys he doesn't like in their place! (And since he's on the right side of the scenario, he's good at giving those characters a hard time!)

Otherwise, my favorite female character to write would probably be Ivy and Fregn on equal terms, even if for opposite reasons. Ivy also has a strong personality, and I love writing her affection for Felicia and her best friend's family, as well as the fact that she loves her freedom but, she'll still do what's right for everyone and help others rather than bolt to further her own desires. As for Fregn, despite the fact that she's married to Isidore and has little room to maneuver with him, she's never short of ways to get by and protect Sylvain, whom she loves with all her heart. She remains a highly effective sleeper agent, with all the weapons she needs to take the lead, accomplish her mission over the long term and take her revenge on Isidore, whom she ends up overtaking. Plus, even though Isidore is one of my least favorite characters/OCs to write, seeing him get manipulated and then taken down by Fregn who then comes to taunt him after all she's endured… it's really satisfying to write to see him get the backlash he deserves 😈

The two are quite opposites, Ivy having a more lively and sanguine character that makes her quite easy to write as she says what she thinks, whereas Fregn is more complicated to write as she calculates everything she does, she plans everything and is very cautious, but it's very satisfying to see what her cautious actions and words provoke at the end of the endings, like a spider's web gradually tightening around her enemies.

As far as the characters are concerned, Rodrigue takes the cake: he's a character I adore for his kindness and love for his family, so it's everything I love to write. He's a real protective wolf with his pack, and he's a lot of fun to write for that!

[sterdas-blog]

Retroactive Jealousy!

I think it's very important to remember to be kind to yourself. My thoughts, behaviors, or struggles don't mean that I'm a bad person or inferior. Knowing them and actively trying to work on them are actually the signs of someone who is incredibly brave, forward-thinking, self-loving at its core, and high-value ;) I don't judge nor question myself but instead am kind and understanding.

Ironically and funnily enough, I'm really not bothered by any specific ex-lovers in my partner's past at all. I'm not bothered by my partner's sexual past; what I'm really afraid of is what it represents.

They're representations of my own insecurities.

I'm insecure about my performance and her enjoyment and satisfaction: I'm a bit insecure about my inexperience, however: Experience doesn't mean that either person was any good, it's more or less just a number. And likewise, inexperience doesn't mean that I'm not good or that Cat doesn't enjoy being with me sexually either. (She's openly expressed her enjoyment with me and told me out of the blue that I am good.) About my partner's enjoyment and satisfaction: if she says it, I should believe her. (that's just how she is v.v) It doesn't make sense to compare also, because it's just different and pretty much impossible to do.

A little article that's relevant:

But on the other hand, when it comes to measuring sexual satisfaction within a heterosexual relationship, there is so much more than exclusively the orgasm.

This goes for both sexes, both men and women.

Pleasure comes in different forms and on different levels. Being intimate with your partner, enjoying their company, enjoying their body, finding satisfaction in the connection, and enjoying giving just as much as receiving can be just as satisfactory without an orgasm.

On both a physiological level and a psychological and emotional level, the arousal, the stimulation, and the process of getting there can be in some cases more and better than the relief provided by the orgasm. The pleasure is not limited to the genitalia and the touch, it involves all other senses, the sight, the smell, the sounds, and the taste of the other. These are proven to start to release the feel-good hormones even before the touch comes on. This is how foreplay doesn’t definitely need even physical presence and how some well-placed words can already be a huge turn-on, and this is how women can orgasm even without being touched.

Less is sometimes more. Not digging deep into the different orgasm types that women can experience, from very mild to mindblowing, sometimes one single orgasm is all that is needed. It can be so earth-shattering that going for another one seems impossible at best or torture at worst anyway.

I was writing before about a perfect one-night stand, with incredible chemistry and unexpected connectedness. The smell, the taste, the touch, everything was just magical. We shared a cosmic experience, in a way neither of us experienced before, leaving us breathless, craving for more and more, not sleeping at all — that would have been just impossible. What? Should I miss a second of touching him and feeling him on me and in me? No way!

I left out one tiny detail. We made love three times which lasted 6 hours. He had one orgasm. And I had none. I left this out because it was unimportant. There was an orgasm gap. One to zero. I left it out because what we had was more than an orgasm competition. It was better and more than anything I have ever experienced with anyone. Would I have wanted an orgasm? Maybe. I’m not sure it would have been better by that.

Final word:

For me, the formula for good sex:

mutual pleasure (not orgasm but pleasure),

connection on some (or more) level,

and being present together.

The increasing number of female orgasms can start to close the orgasm gap, but just the quantity itself is not compensating for quality, chemistry, or connection.

And I, personally, would go for quality, chemistry, and connection over quantity anytime, without a second thought.

Using orgasm count as a measure of enjoyment is stupid because there's so much more to sex than just that (for women a bit more than for men. It doesn't matter that much for me already, so I can probably imagine how my female partners would feel about it), the mutual pleasure, the connection, the presence, the dynamic,... and more are so much more important, arousing, and amazing). It also is incredibly cringe and a hallmark sign of insecurity to focus so much on orgasm count and use it as validation. It makes the sex pretty terrible and shows disrespect for both parties and low self-esteem/self-confidence. I know also that I'm pretty amazing already(not to toot my own horn here hehe); the lack of self-confidence and fitness gets in the way a bit sometimes though :c. But that being said, I know that I'm a great lover, and as I continue to work on myself, I know that there's absolutely nothing I should be worried about hehe.

I'm afraid of losing her: It's a blow from my self-esteem and confidence issues. My conscious mind knows that she loves and cares for me, that she won't sleep with anyone else, that she won't get into a relationship with anyone else,... It's my subconscious mind and my insecurities that attack me. The fear of her not being satisfied sexually and us breaking up for it is just another way those feelings manifest and get to me. I know now where they come from, and I'm doing my best to counter them ;)

Coping/moving forward:

I care so much about my performance because of what sex means to me, and the stakes it carries: I'm not doing my partner a service here:( It's mainly me using sex and using my partner as a way to regulate my emotions and issues, and that's not nice. Ironically enough, worrying so much about performance is actually what diminishes it and makes sex less enjoyable. Caring for myself and my own sexual satisfaction, and taking away the pressure, stress, and tense-ness, actually points directly to the formula of great sex - mutual pleasure, connection, and being present.

Stop Believing the Stories Created by Your Mind:The sex my partner had in the past wasn't some crazy extravaganza, but more just plain (and most likely had its fair share of problems and insecurities from what I could deduct). Comparing is stupid of course cause it's just different, but if it had to be done, then I would say it was probably more or less the same-ish. Run-of-the-mill. However, that was the me of the past that didn't know better, but now it's different hehe. The sex that me and my partner would have in the future, however, that's a different story ;) I know also that I'm pretty amazing already(not to toot my own horn here hehe); the lack of self-confidence and fitness gets in the way a bit sometimes though :c. But that being said, I know that I'm a great lover, and as I continue to work on myself, I know that there's absolutely nothing I should be worried about hehe.

Be in the moment and remind myself of who Cat wants right now: Does she still think about him now? No. Did she get on better with him than you? No. Would she rather be with him than you? No. Your partner, right now, probably has no interest whatsoever in these ex-lovers, and wouldn’t want to be anywhere else right now than here with you. 

[cattutorialsblogs]

Is CAT Exam Tough : Difficulty Level & Pattern

Is CAT Exam Tough? If sure, How difficult it's far? Answer to this will range from man or woman to person. But one factor that CAT aspirant can notice is the increasing range of CAT aspirants, as final year CAT broke all in advance data with 2.Fifty five lakh applicants making use of for the examination. Which further stronger its popularity as biggest and most popular management entrance examination. Leading to Admissions in top B-schools.

The Common Admission Test, also called CAT, is a countrywide examination performed each 12 months by way of the Indian Institutes of Management on a rotational foundation. CAT is a flair-primarily based exam, it’s divided into 3 sections, specifically Verbal Ability and Reading Comprehension (VARC), Data Interpretation and Logical Reasoning (DILR), and Quantitative Ability (QA). Each section has a time length of forty mins, making the entire examination duration to be 2 hours. Start your CAT Preparation with CAT Best Online Coaching.

Is CAT Exam Tough? (Section-smart Review)

Is CAT Quant-Section Tough? Earlier it turned into recognised to range among moderate to hard.  However the Quant Section from CAT 2023 turned into relatively more difficult than the beyond year’s papers, as determined inside the exam analysis. Another factor that makes CAT tough, is its unpredictability. One can have a look at that the syllabus of the Quant Section in most cases includes topics that we found out in our school days. But the manner questions are framed, makes the difference. Questions here may not be direct, but instead a combination of two-three subjects. The Quant phase carries a total of twenty-two Questions, and experts advise that 17-18 questions out of 24 are achievable. 

Is CAT LRDI-Section Tough?

One can keep in mind LRDI to be the hardest section of CAT. Until some years earlier, LR and DI sets got here separately. But in current years as reported via test takers, it’s getting difficult to distinguish among LR Sets and DI units. Topics like Quant-based Puzzles and Caselets venture test takers to raise their logical thinking talents. In order to crack this section one wishes to be uncovered to various practice units.  

Is CAT VARC-Section Tough?

The durability of this section isn't absolutely predictable, but possible take into account it to range between slight to tough. CAT’s VARC Section contains 24 Questions. 16 out of 24 Questions are based on Reading comprehension, for this reason your ability to recognize performs a crucial role on this segment. Also one may not want an tremendous vocabulary but having a respectable vocabulary is usually recommended.

CAT when as compared to other Competitive tests:

CAT is an aptitude-primarily based examination and it's miles frequently in comparison with a couple of competitive checks. There is always a debate taking place about the difficulty of the CAT Exam. Here we've got as compared CAT with few National degree entrance tests. Want to get into Top B -School, checkout Top Online Coaching for CAT.

Is CAT examination difficult than JEE?

Basically, each of those Exams are countrywide-level tests, performed yearly via respective government to shortlist candidates in distinct educational fields. So, if we take into account the syllabus and topics protected in CAT and JEE, then we are able to see that JEE entrance exams are absolutely subject-particular. The questions are asked from training eleven and 12 Maths, Physics, and Chemistry. But within the case of CAT, it's miles an inherent ability check, by using which the authority specially judges the logical abilities of the candidates to turn out to be destiny managers. In this point of view, the CAT examination is a little tougher aspect than JEE.

Apart from this, if we keep in mind the competition, then additionally CAT is tougher than JEE, as students from any educational heritage can appear for this exam. But for the JEE exam, handiest the Science heritage scholar with PCM in mixture with 10+2 can seem.

Is CAT examination difficult than UPSC?

Both CAT and UPSC are considered to be difficult of their respective domain names, but UPSC is understood to have a extra difficult examination format. The CAT exam is a more than one-desire examination, while the us exam includes a selection of question codecs, consisting of essay questions, brief solution questions, and long solution questions. When we speak of the syllabus width, UPSC has a much broader but particular syllabus, even as inside the case of CAT, the syllabus is not formally disclosed however can be generalized via analysis of new years.

Is CAT examination tough than NEET?

NEET is the Entrance examination for medical admissions and CAT is the doorway exam for admissions in management and commercial enterprise school. CAT has 3 sections, VARC(Verbal Ability and Reading Comprehension), Quantitative Aptitude, And LRDI(Logical Reasoning And Data Interpretation). While NEET is primarily based on the PCB(Physics, Chemistry, and Biology) of the standard 11th and twelfth.

Is CAT exam tough than IPMAT?

In general, the CAT exam is greater annoying than the IPMAT examination. The CAT Exam syllabus has a much wider syllabus while in comparison to the IPMAT examination. Furthermore, the number of applicants taking the CAT is two.Fifty five lakh, while IPMAT is taken most effective by way of 18-20 thousand students.

The IPMAT is seemed to be of intermediate issue. It is designed for undergraduate students who have little experience with aggressive tests. The questions are meant to degree applicants’ fundamental know-how of quantitative flair, verbal potential, and reasoning.

CAT, however, is seemed as one of India’s maximum difficult control entrance exams. It is a postgraduate-level check that wishes a lot greater preparation and practice. The questions are supposed to degree the candidate’s analytical, logical, and trouble-solving abilities.

[educationtech]

Top 10 Career in Mathematics in 2024 after BTech - Arya College

After completing a B.Tech in Mathematics and Computing, numerous career options are available across various industries such as finance, software, telecom, pharmaceuticals, consulting engineering, and government organizations. Some of the top career options include:

Investment Banker: Provides financial services, including investment-related news and industry knowledge. Investment bankers typically have a bachelor's or master's degree and help businesses and individuals make financial and investment decisions.

Financial Analyst: Offers financial assistance by collecting and analyzing data to help businesses and individuals make financial and investment decisions. Financial analysts need strong analytical and math skills to interpret financial data.

Software Developer: Designs, researches, and develops software programs for various companies. Software developers are responsible for developing the underlying system that controls devices or runs applications.

Data Analyst: Responsible for analyzing and interpreting data to help organizations make informed decisions. Data analysts use their math and statistical skills to identify trends and insights from large datasets.

Additionally, students can also opt for higher education in fields such as Machine Learning, Artificial Intelligence, Big Data, Mathematical Modeling, Economics and Finance, and Image Processing. They may also have the opportunity to travel to universities and research centers abroad for their projects. For those interested in pursuing a career in mathematics after engineering, there are options to study mathematics in India through various exams like JAM and opportunities abroad through Math GRE, General GRE, IELTS, and TOEFL. Some popular master's degree programs include:

Master of Science (MSc) in Mathematics: Provides advanced training in pure and applied mathematics, preparing students for research or teaching careers.

Master of Science (MSc) in Statistics: Focuses on statistical theory, methods, and applications, with opportunities in data analysis, forecasting, and quality control.

Master of Science (MSc) in Actuarial Science: Evaluates financial risks and uncertainties, with applications in insurance, investment firms, and pension funds.

The average salary for a B.Tech Mathematics and Computing graduate is around Rs. 7 LPA but can vary depending on the company, experience, skills, and job role. Top recruiters in this field include Amazon, Microsoft, Facebook, World Quant, and Goldman Sachs

What Are The Top Exams For B.Tech Mathematics And Computing

The top entrance exams for admission to B.Tech Mathematics and Computing programs in India are:

1. JEE Main: This is the most important exam for admission to NITs, IIITs, and other centrally funded technical institutions. Candidates need to secure an All India Rank between the opening and closing ranks released by JoSAA.

2. JEE Advanced: For admission to IITs, candidates must appear for JEE Advanced after clearing JEE Main. The cutoff ranks for top IITs offering B.Tech Mathematics and Computing are:

IIT Delhi: 156 - 312

IIT Hyderabad: 601 - 925

IIT Kanpur: 444 - 910

IIT Kharagpur: 897 - 1451

IIT(BHU) Varanasi: 1271 - 1674

IIT Guwahati: 641 - 977

IIT Goa: 4437 - 5695

3. State-level entrance exams: Some states conduct their engineering entrance tests for admission to state-level institutions.

4. University-level entrance tests: Private universities like Amity University and SRM University provide direct admission based on their entrance tests or 10+2 merit.

The eligibility criteria for B.Tech Mathematics and Computing is 10+2 with Physics, Chemistry, and Mathematics as mandatory subjects. The average course fee ranges from Rs. 3.34 Lakhs to Rs. 20.17 Lakhs depending on the institute.

These responsibilities encompass a wide range of tasks aimed at advancing research initiatives, securing funding, promoting collaboration, and ensuring the successful development and implementation of research projects within academic and research institutions. Arya College of Engineering & I.T. is the Best college of B.Tech in Jaipur Rajasthan.

[abroadstudy24]

GRE Preparation Tips from Top Scorers

GRE preparation tips from top scorers

What is GRE?

The Graduate Record Examinations (GRE) is a standardized test that is an admission requirement for many graduate schools across many countries. Anyone who is planning to pursue their Masters abroad can take the GRE.

The GRE has been introduced to check the academic awareness of the aspirant. GRE scores are accepted by thousands of business and law schools. This test is conducted to enable educational institutions to identify applicants who are academically capable of successfully completing the business or law program.

The GRE Format

There are 2 types of GRE:

a) GRE General Test

The GRE general test includes sections that test your reading, math, vocabulary, reasoning, and essay writing skills. This test is mandatory for your admission into a business or law program.

b) GRE Subject Test

There are also four GRE Subject Tests. This tests your knowledge in specific areas of Chemistry, Mathematics, Physics, and Psychology. It measures your knowledge in this particular field of study. Students who wish to pursue specialized subjects, need to take the GRE Subject Test.

The GRE has a reputation for being a demanding exam owing to its tough syllabus and long test time.

If you are a GRE aspirant, do not worry. We have got in touch with students who have successfully cracked the GRE with at least a 325 score. We have explored their strategies for a top GRE score.

In this blog, we will cover some tips and methods that will help you crack the GRE with flying colors. Read on

1. GRE sections

GRE is made up of 3 sections

Verbal Reasoning (Reading comprehension)– you are scored on a scale from 130-170 in 1 point increments

Quantitative Reasoning (Math section)-you are scored on a scale from 130-170 in 1 point increments

Writing– you are scored on a scale from 0-6 in half increments

2. Know what to expect

Before taking the GRE you should know all about the test. GRE is a computer-delivered test offered all year round. You can take the test either at your home or at the test center.

The administrative process of the test involves registration, appointment scheduling, etc. The style of GRE questions will range from entering a single answer to selecting one or more answers and also to enter a numeric answer. An on-screen calculator is available during the quant section.

You can also mark and review questions. In case you are not able to give enough time to solve a question, you can mark it, move on to the next question and review it later to answer it. GRE software gives you the option of reviewing questions you have already answered and changing them.

3. Exam Time

The actual GRE will last for 3 hours and 45 minutes. Be prepared to spend at least 4-5 hours at the test center. The extra hours will be needed for commuting, filling out forms, breaks and score acceptance.

Activity

Total Time

Checking in at the test center

Filling out information

Analytical Writing

Verbal Reasoning

Quantitative Reasoning

Break

Accepting your score

5-20 mins

5-15 mins

60 mins(30 mins/section)

60 mins(30 mins/section)(20

Qs/section)

70 mins (35mins/section)

(20 Qs/section)

10 mins

5 mins

Total

240 mins (4 hours)

4. Don’t study hard, study smart

Try to figure out the best method for you to retain information. Some people learn better when they write things down; others learn it when they hear the information. Identify your own easy and comfortable method of learning. Don’t try to get lots of information at the same time.

Develop a systematic approach to studying. Make a study plan and stick to it religiously.

5. Enroll in a study center

GRE is considered one of the toughest exams to crack. Preparing for GRE on your own is not at all recommended. It requires proper planning and a systematic approach to crack the test. Moreover, it also costs a lot of money to take the test. Therefore, the best way to ace the test is to get prepared through a professional test prep center. These centers provide you with a personalized study plan and instructors who guide you on the right path. Constructive feedback from your instructors will help you in keeping track of your progress through the GRE prep journey.

6. Plan for your GRE early

Start preparing for your GRE 6 months prior to you taking the test. Make a study plan and follow it religiously. Practice for a few hours every day on all the sections of the test. Don’t miss out on your study routine as you may end up losing crucial concepts of lessons.

7. No negative marking

On the GRE, there is no negative marking. As a result, it’s in your best interests to guess every question. Attempt every question, even if you are not sure of the answers. You might get lucky and earn a few extra points.

8. Identify your weaknesses

The areas you dislike the most are the areas that challenge you. Instead of avoiding these areas, try nailing them with a proper approach. Working harder within areas that need improvement will give you results more quickly and take you one step closer to your target score.

9. Practice

Practice makes a man perfect. Practice for all the sections of the test. GRE is a time-bound test. So, practice writing your test within the given time limit. This will give you an edge on test day.

[woodsdyke]

Do you have any advice for someone who wants to become a sociologist? any do's and dont's?

ok hi anon i had to let this marinate for a bit before i answered it

anyway good question! and i'm not necessarily the best person to answer it because i currently don't directly work in sociology, but i'll give it a shot

first some of the logistics/career stuff:

-if a program doesn't sit right with you, and you have the option, just get out of there. no point in getting a sociology degree from a school that can't follow the program's own tenets (i.e. for my BS, i encountered soooo much unchallenged ableism. i was in psychology). also if the program is all white guy profs, get out of there

-if you already have an associates/bachelors degree and want to go to grad school, it's okay if it's not in sociology. my BS is in psychology with a bunch of biology/chemistry coursework i did before changing my major. some smaller universities don't even have sociology undergraduate programs. a lot of subjects that aren't sociology are still very closely related and won't strike any points against you when trying to get into grad school

-on that note, people will tell you the likelihood of getting a tenure-track professorship in sociology is like 1%. don't be demoralized. 1% isn't 0%. go get that shit

-know that the likelihood of you working specifically as A Sociologist isn't really high (not saying you can't write/etc on the side, writing a book is something i keep considering). other than professor/instructor positions, there aren't a lot of places hiring specifically sociology-related roles. my specialty is rural and queer studies, but i've worked in clinical research, community violence and suicide prevention, adolescent development, substance use disorder. which all made good use of my skills but weren't really related to my specific focus. would i like to get something specific to my degree specialization? sure! but who knows when that may happen

-sociology is useful in a TON of different fields. you can still use your skills/interests even if you're not in a specific sociologist role. any social science, marketing, education, medicine, public health, policy, etc. are all places that want that cool shit you're bringing to the table and you'll probably enjoy it too (idk about marketing. it seems soul-crushing. but maybe not for you)

-if you really want to specifically Do Sociology you're probably gonna want to get a doctorate. i have an MA, which allows me to be the sociology guy on my projects, but i still work within other fields (public health most recently)

-make sure you have a good background in analysis. you don't have to be good at quant or qual (people will tell you otherwise but i suck at quant and i'm here, so), but you want to be good at one of them. you are going to find more positions, and make more money, if you're good at quant (including SAS/R coding and probably python). it's the reality of math. but i think quant sucks and i'm a qual specialist, so follows your dreams

-if you're in/want to be in research: understand your jobs may not be permanent. i'm speaking from experience as someone who just got laid off. if you're working for an academic institution with grant-funded research, funding can run out! contracts will fall through! if you're looking to stay at one job for years and years, not sure if academic research is the place to be

now my own little tips about The Vibes:

-you will be weird at parties. sociology is basically going uh oh! this social phenomena is bad! we should fix it. but how ? and god descends and hands you a note card that just says ?????? on it. you will have knowledge of things that are bad. they'll be interesting! but also it can get kind of depressing at times. but so can all of existing, so

-you gotta like books. or at least just learning rly specific shit. if you're specifically wanting to go into sociology you probably know that, but i did read 300+ pages of articles and 14 books for my MA thesis. on purpose. over about 4 months

-people in more "hard science" heavy jobs will act like you're amazing for knowing things like what medical racism is. this will feel jarring and like you are being tricked. you're not, people just don't know things. just go with it

i know this is A LOT and i'm also early (ish) career and only MA level, but i hope at least something could be helpful!

-sociology is a really gay field. the queer autistics love that shit, most of my grad cohort was queer and weird and we spent 30 minutes deciding the coolest way to dispose of our own corpses when we died

[itsnot365papers]

Plasma Lipid Profiling in a large population-based cohort

Jacquelyn M. Weir,1,* Gerard Wong,1,* Christopher K. Barlow,* Melissa A. Greeve,* Adam Kowalczyk,† Laura Almasy,§ Anthony G. Comuzzie,§ Michael C. Mahaney,§ Jeremy B. M. Jowett,* Jonathan Shaw,* Joanne E. Curran,§ John Blangero,§ and Peter J. Meikle2,*

Journal of Lipid Research, 2013

Summary Points

several clinical assays exist for lipids, but are limited in scope

we know lipids are important biomarkers

fig 1- example chromatographs, 10 minute gradient for al lipids and a 6 minute gradient for DG and TG species, colored by fragment ion pairs (why is this included?)

abundance based on peak area integration

fig 2- measurement of molecules that have same mass/formula but are not the same- they separate based on retention time

fig 3- more isobaric species- this time also SM, shows that PC and SM coelute but they have different ion pairs based on if they coelute or are run separately- this difference tells you that there are two vs one there

these two figures are validating the ability to identify the species that fragment into the same mass ions

fig 4- pearson's correlation shown via heatmap- this indicates that some lipid classes/pairs are correlated (linear regression type of correlation), looks like some PE species are correlated, as well as DG and TG

there are 5 tables in this paper, which doesn't seem like the best way to display data

the correlation studies were done to help correlate the lipids to physiological factors without needing quantification, you do it based on signal response instead

Questions

see citation 16 for single phase extraction info

is tetrahydrofuran methanol and water a common lipidomics mobile phase? how does the chemistry of this mixture work?

what does ammonium formate do in mobile phases?

how valid is peak area integration for lipids? did thy use the internal standards? doesn't specify in comparative data section of methods- yes this data is in table 3 to show QC standards

is less than 50% different really comparable when comparing study to study quant values? this seems pretty far iff

[unopenablebox]

oh my god apparently im seriously considering using my gap year to take more! classes! to try to actually acquire some math/biophsyics/programming capacities and on the one hand, i really need to, because i bounced off of every quant or chem intro sequence i tried for the whole time i was an undergrad, i should have tried harder but i didn’t because i “can’t learn from a giant lecture that i’m barely even able to pay attention to” but also “can’t teach myself physics out of a textbook”

but on the other hand, i want to die

[1degreeoffreedom]

10/4/18~

October Study Challange Day 4

Happy national taco day! Sometimes productivity is handling responsibilities outside of classes. We had a SHPE meeting and I submitted my time sheet. Productivity is also finishing your homework assignment due at midnight. Equilibrium used to be so much easier without activity. Why can’t ions be like me: inactive?

[seedotcom]

It weirds me out when people nickname classes differently than UNF chem majors.

General Biology = bio

Molecular and Cell Biology = mo cell

Biochemistry = biochem

General Chemistry = gen chem

Organic Chemistry = orgo

Inorganic Chemistry = inorganic

Physical Chemistry = p-chem

Quantitative Analytical Chemistry = quant

Modern Analytical Chemistry = modern

Any STEM majors/graduates say it differently?

[ajaegerpilot]

time to wing my bacterial genetics final exam worth 40% of my grade tomorrow whilst the rest of my grade rests at barely a B+ and never take a microbiology course again because it’s boring as shit even if i literally Love that professor but biology is boring as shit and my grades are not good enough to get me into grad school for chemistry and i’m almost done my biology major and shouldn’t put all my eggs in one basket especially considering what a dumbass i am and all of the people i know are so smart and good at what they do and I’m going to possibly fail this test because biology is so boring and i am not good at this life!

[mostlysignssomeportents]

Qualia

My latest Locus Magazine column is "Qualia," and it argues that every attempt to make an empirical, quantitative cost-benefit analysis involves making subjective qualitative judgments about what to do with all the nonquantifiable elements of the problem.

https://locusmag.com/2021/05/cory-doctorow-qualia/

Think of contact tracing. When an epidemiologist does contact tracing, they establish personal trust with infected people and use that relationship to unpick the web of social and microbial ties that bind them to their community.

But we don't know how to automate that person-to-person process, so we do what quants have done since time immemorial: we decide that the qualitative elements of the exercise can be safely incinerated, so we can do math on the quantitative residue that's left behind.

We can automate measurements of signal strength and contact duration. We can do math on those measurements.

What we *can't* do is tell whether you had "contact" with someone in the next sealed automobile in slow traffic - or whether you were breathing into each others' faces.

The decision to discard the subjective *is* subjective.

When the University of Illinois hired physicists to design its re-opening model, they promised no more than 100 cases in the semester and made unkind remarks about how easy epidemiology was compared to physics.

Within weeks, the campus shut down amid a 780-person outbreak. The physicists' subjective judgment that their model didn't need to factor in student eyeball-licking parties meant that the model could not predict the reality.

The problems in quants' claims of empiricism aren't just that they get it wrong - it's that they get it wrong, and then claim that it's impossible for anyone to do better.

This is - in Patrick Ball's term - "empirical facewash." Predictive policing apps don't predict where crime will be, but they DO predict where police will look for criminals.

Subjectively discarding the distinction between "arrests" and "crime" makes bias seem objective.

40 years ago, the University of Chicago's Economics Department incubated a radical experiment in false empiricism: the "Law and Economics" movement, which has ruled out legal and political sphere since Reagan.

Law and Econ's premise was that "equality before the law" required that the law be purged of subjective assessments. For example, DoJ review of two similar mergers should result in two similar outcomes - not approval for one and denial for the other.

To this end, they set out to transform the standards for anti-monopoly enforcement from a political judgment ("Will this merger make a company too powerful?") to an economic one ("Will this merger make prices go up?").

It's true that "Is this company too powerful?" is a subjective question - but so is "Will this merger result in higher prices?"

After all, every company that ever raised prices after a merger blamed something else: higher wage- or material-costs, energy prices, etc.

So whenever two companies merge and promise not to raise prices, we have to make a subjective judgment as to whether to trust them. And if they do merge and raise prices, we have to subjectively decide whether they're telling the truth about why the prices went up.

Law and Econ's answer to this lay in its use of incredibly complex mathematical models. Chicago economists were the world's leading experts in these models, the only people who claimed to know how to make and interpret them.

It's quite a coincidence how every time a company hired a Chicago Boy to build a model to predict how a merger would affect consumers, the model predicted it would be great.

A maxim of neoliberal economics is "incentives matter" - and economists have experience to prove it.

The Chicago School became a sorcerous priesthood, its models the sacrificial ox that could be ritually slaughtered so the future could be read in its guts. Their primacy in models meant that they could dismiss anyone who objected as an unqualified dilettante.

And if you had the audacity to insist that the law shouldn't limit itself to these "empirical" questions, they'd say you were "politicizing" the law, demolishing "equality before the law" by making its judgements dependent on subjective evaluations rather than math.

That's how we got into this mess, with two beer companies, two spirits companies, three record companies, five tech companies, one eyeglasses company, one wrestling league, four big accounting firms - they merged and merged, and the models said it would be fine, just fine.

These companies are too powerful. Boeing used its power to eliminate independent oversight of its 737 Max and made flying death-traps, and then got tens of billions in bailouts to keep them flying.

What's more, these companies are raising prices, no matter what the model says. The FTC knows how to clobber two companies that get together to make prices higher, but if those companies merge and the two resulting *divisions* do the same thing, they get away with it.

The only "price-fixing" the FTC and DoJ know how to detect and stop is the action of misclassified gig-economy workers (who are allegedly each an independent business) who get together to demand a living wage. In Law-and-Econ terms, that's a cartel engaged in price-fixing.

That means Lyft and Uber can collude to spend $200m to pass California's Prop 22, so they can pretend their employees are contractors and steal their wages and deny them workplace protection - but if the workers go on strike, *they're* the monopolists.

In Law-and-Econ land, the way those thousands of precarious, overstretched workers should resist their well-capitalised bosses at Uber and Lyft is to form a trade association, raise $200m of their own, and pass their own ballot initiative.

As I wrote in the column: "Discarding the qualitative is a qualitative act. Not all incinerators are created equal: the way you produce your dubious quantitative residue is a choice, a decision, not an equation."

There is room for empiricism in policy-making, of course. When David Nutt was UK Drugs Czar, he had a panel of experts create empirical rankings for how dangerous different drugs were to their users, their families and wider society.

From this, he was able to group drugs into "drugs whose regulation would change a lot based on how you prioritized these harms" and "drugs whose ranking remains stable, no matter what your priorities."

Nutt was then able to go to Parliament and say, "OK, the choice about who we protect is a political, subjective one, not an empirical one. But once you tell me what your subjective choice is, I can empirically tell you how to regulate different drugs."

Nutt isn't UK Drugs Czar anymore. He was fired after he refused to recant remarks that alcohol and tobacco were more dangerous than many banned substances. He was fired by a government that sat back and watched as the booze industry concentrated into four companies.

These companies' profits are wholly dependent on dangerous binge drinking; they admit that if Britons were to stop binge drinking, they'd face steep declines in profitability.

These companies insist they can prevent binge drinking, through "enjoy responsibly" programs.

These programs are empirical failures. The companies insist that this is because it's impossible to prevent binge drinking.

So Nutt made his own program, and performed randomized trials to see how it stacked up against the booze pushers' version.

Nutt's program worked.

It was never implemented.

Instead, he got fired, for saying - truthfully - that alcohol is an incredibly dangerous drug.

The four companies that control the world's booze industry have enormous political power.

So here we have the failure of Law-and-Econ, even on its own terms. Instead of creating an empirical basis for policy, the Law-and-Econ framework has created global monopolies that capture their regulators and kill with impunity.

That's why it's so significant that Amy Klobuchar's antitrust proposals start by getting rid of the "consumer welfare" standard and replacing it with a broader standard: "Is this company too powerful?"

https://pluralistic.net/2021/02/06/calera/#fuck-bork

Image: OpenStax Chemistry https://commons.wikimedia.org/wiki/File:Figure_24_01_03.jpg

CC BY https://creativecommons.org/licenses/by/4.0/deed.en

[cromulentenough]

Two main possibilities that I need to decide between career wise. (That I've thought of so far that look good anyway, with my requirements of not a ton of interaction with people, not manual labour, not a lot of hours or over time but still good money).

Data science:

Pros - more money, more demand. Theoretically don't actually need that long to learn what's needed (masters course is 1 year).

Cons - need to either fork over £11k for a masters course or do self study. This has been my 'what im planning to do' type of thing for the last like 2 years and I can't fucking get myself to self study even though it definitely seems doable.

Medical physics:

Pros - structured course by the NHS if I can get accepted rather than needing to motivate myself to self study. Get paid while I'm trained. Probably more fulfilling cause I'm helping people.

Cons - more responsibility, if I fuck up I could kill people. Less money. Credentials aren't as transferable if I want to move. 3 years of training instead of one. Not actually that many positions available nationwide.

Other things I've considered but not in great detail: mumble finance mumble (financial analyst is pretty close to data analyst/ data science I think, there's also being a quant. It I don't know if that's the same thing), nuclear something or other (UK seems to be winding down nuclear power plants even if there's a couple of new ones on the horizon a lot seem to be planned to close, also don't really want to do anything with helping the military), renewables something something (seem to want chemistry and engineering more than physics from what I've seen?).

[grey-toast]

3/30 days of productivity

In the image

My notes for current affairs lecture

My daily planner

And my failed attempt at latte art !

Other than this , I did my Quant marathon today . So 1 marathon down , 4 to go !

Oh and also , I gave a chemistry mock !

How was your day ?