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Carnegie Institution For Science

The Carnegie Institution for Science does not fit within the scope of fictional or narrative media; it is a real-world scientific research organization unrelated to storytelling or creative works.

Her Ex's Science Project

Because her precious Jeremy needed a lab rat, Harper shipped me off to Bendora Mental Health Institute after my surgery. I got electroshocked until I was drooling and twitching, and she? She just slapped her hand over Jeremy's eyes like, "Ew, babe, don't look." Jeremy scored a Research Award nomination off that mess. Harper celebrated with fireworks so loud they could've woken the dead. Meanwhile, I was lying there in the dark, staring up at the sky while they took my leg. To keep it quiet, Jeremy slapped on a prosthetic and threatened me if I ever opened my mouth. He told Harper I just got "a little banged up" in the trial. Numb, I boxed up my leg in a freezer box. Seven days later, at Jeremy's big gala night, guess who would unwrap it like a party favor? Yeah. Harper.

10 Chapters

Science fiction: The believable impossibilities

When I loved her, I didn't understand what true love was. When I lost her, I had time for her. I was emptied just when I was full of love. Speechless! Life took her to death while I explored the outside world within. Sad trauma of losing her. I am going to miss her in a perfectly impossible world for us. I also note my fight with death as a cause of extreme departure in life. Enjoy!

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82 Chapters

Healer Mate Sent Me to Mental Institution

Everyone in the pack knows Marcus has loved me for a decade—that I'm his destined mate. He's devastatingly handsome and brilliant, the youngest and most gifted pack healer we've ever had, with she-wolves practically throwing themselves at his feet. Yet this alpha prince has eyes only for me. But when I was nearly assaulted by a rapist, Marcus signed a settlement agreement on my behalf and issued a psychiatric diagnosis, condemning me to a mental institution. Inside the institution, I was attacked by the truly insane—they tore at my hair with clawed fingers and kicked my stomach until I couldn't breathe. Meanwhile, he held the rapist's sister Victoria close and told me: "Emma, I'll take care of you. I'll compensate you when you get out, but Victoria has severe depression. She can't handle her brother getting in trouble." Even more ridiculous—when I begged him to let me see my suicidal sister one last time, he was honeymooning with that woman in Iceland, hanging up on my eighty-nine calls. The day my sister died, I coughed up blood in that mental hospital. Three years later, he came to get me, saying he still wanted to bring me home as his mate. Looking at his careful demeanor, I suddenly laughed. Marcus, do you know? No matter how high the mental hospital walls are, they can't stop someone who's crawled back from hell for revenge. What you owe me, what you owe my sister—I'll collect it all with interest, using what you care about most.

13 Chapters

When I Devoted Myself to Science

Our place was hit by an earthquake. I was crushed by a slab of stone, but my wife, leader of the rescue squad, abandoned me in favor of her true love. She said, "You're a soldier. You can live with a little injury. Felix can't. He's always been weak, and he needs me." I was saved, eventually, and I wanted to leave my wife. I agreed to the chip research that would station me in one of the National Science Foundation's bases deep in the mountains. My leader was elated about my agreeing to this research. He grasped my hand tightly. "Marvelous. With you in our team, Jonathan, this research won't fail! But… you'll be gone for six whole years. Are you sure your partner's fine with it?" I nodded. "She will be. I'm serving the nation here. She'll understand." The leader patted my shoulder. "Good to know. The clock is ticking, so you'll only have one month to say your goodbyes. That enough for you?" I smiled. "More than enough."

11 Chapters

Science Gave Me a Baby, Not Love

On our fifth wedding anniversary, my husband cancels a 100-million-dollar business deal to take me on vacation. While we're together, breathless and intimate, I'm about to tell him the news that our IVF finally succeeded when he answers his phone. His Valerian flows, smooth and effortless. "Of course I'm coming to tomorrow's prenatal checkup. That's our baby." "But won't your barren wife get jealous?" The woman on the other end speaks with a sultry lilt. Ethan Shaw traces his tongue along my neck as he responds, "What she doesn't know won't hurt her." My mind went blank, like lightning striking too close. I stuff the pregnancy report back into my pocket without thinking. "Honey, who's that?" Ethan pulls me close by the waist. "Just a business partner in Valeria. Time difference, that's why they're calling now..." I can't process the rest of his words. Ethan doesn't know I understand Valerian. Since he's clearly not excited about our child, I'll make sure this baby grows up without him as a father.

9 Chapters

Alice down in demonland: Hells institution for the damned

Alice Idohosa is just your regular addict who so happens to possess supernatural powers. After committing "mass murder" he is sentenced to hell where he must learn how to co-exist with his harem of conceited phoenix, bloodthirsty demon so-to-be-demon-lord, angsty hybrid, fearsome demon child, and an egoistic Alpha. Everything should work out at the end even though you throw in the mystery of the parents, love story gone bad, and oh just the possible end of the world he should turn out relatively fine. Maybe. Find out in Alice down in demonland: Hells institution for the damned.

6 Chapters

How Do Science Quotes Influence Public Perception Of Science?

5 Answers2025-09-15 05:43:33

Science quotes can play a surprisingly significant role in shaping public perception. For many people who might not delve deeply into the complexities of science, a well-crafted quote can serve as a gateway to deeper understanding. When someone like Albert Einstein famously said, ''Imagination is more important than knowledge,'' it opens up a conversation about the nature and limits of scientific knowledge. This can inspire curiosity and appreciation for the discipline, making science feel accessible and relatable.

In this way, quotes can elevate the status of science, framing it as not just a series of facts and figures, but as a field rich with exploration and creativity. They can spark interest in scientific topics especially when these quotes resonate emotionally or philosophically. As a result, this can lead to more people engaging with scientific concepts, exploring questions they might not have considered otherwise. All in all, quotes can demystify science, making it less intimidating for the average person, and nurturing a culture that values scientific inquiry and thought.

How Does Nys Reference Table Earth Science Support Lab Reports?

4 Answers2025-09-03 22:29:02

I get a little giddy talking about practical tools, and the 'NYS Reference Table: Earth Science' is one of those underrated lifesavers for lab reports.

When I'm writing up a lab, the table is my go-to for quick, reliable facts: unit conversions, constants like standard gravity, charted values for typical densities, and the geologic time scale. That means fewer dumb unit errors and faster calculations when I'm turning raw measurements into meaningful numbers. If my lab requires plotting or comparing things like seismic wave travel times, topographic map scales, or stream discharge formulas, the reference table often has the exact relationships or example diagrams I need.

Beyond numbers, it also helps shape the narrative in my methods and discussion. Citing a value from 'NYS Reference Table: Earth Science' makes my uncertainty analysis cleaner, and including a screenshot or page reference in the appendix reassures graders that I used an accepted source. I usually highlight the bits I actually used, which turns the table into a tiny roadmap for anyone reading my report, and it saves me from repeating obvious—but grade-costly—mistakes.

Which Linda Fairstein Books Include Detailed Forensic Science?

5 Answers2025-09-03 18:04:54

I love geeking out about forensic detail, and with Linda Fairstein that’s one of the best parts of her Alex Cooper novels. If you want the meat-and-potatoes forensic stuff, start with 'Final Jeopardy'—it's the book that introduced Cooper and layers courtroom maneuvering over real investigative procedures. Fairstein’s background gives the series a consistent, grounded feel: you’ll see crime-scene processing, interviews that read like interviews (not melodrama), and plenty of legal-forensic interplay.

Beyond the first book, titles like 'Likely to Die', 'Cold Hit', and 'Death Angel' each lean into different technical corners—DNA and database searches, digital leads and trace evidence, or postmortem pathology and toxicology. What I appreciate is how the forensic bits are woven into character choices, not just laundry lists of jargon. If you’re into techy lab scenes, focus on the middle entries of the series; if you like courtroom strategy mixed with lab work, the earlier ones are gold. Try reading one or two in sequence to see how Fairstein tightens the forensic realism over time—it's a little like watching a science lecture that’s also a page-turner.

Which Books To Learn Programming Teach Data Science Fundamentals?

1 Answers2025-09-03 10:03:16

Nice question — picking books that teach programming while covering data science basics is one of my favorite rabbit holes, and I can geek out about it for ages. If you want a path that builds both programming chops and data-science fundamentals, I'd break it into a few tiers: practical Python for coding fluency, core data-manipulation and statistics texts, and then project-driven machine learning books. For absolute beginners, start light and hands-on with 'Python Crash Course' and 'Automate the Boring Stuff with Python' — both teach real coding habits and give you instant wins (file handling, scraping, simple automation) so you don’t get scared off before you hit the math. Once you’re comfortable with basic syntax and idioms, move to 'Python for Data Analysis' by Wes McKinney so you learn pandas properly; that book is pure gold for real-world data wrangling and I still flip through it when I need a trick with groupby or time series.

For the statistics and fundamentals that underpin data science, I can’t recommend 'An Introduction to Statistical Learning' enough, even though it uses R. It’s concept-driven, beautifully paced, and comes with practical labs that translate easily to Python. Pair it with 'Practical Statistics for Data Scientists' if you want a quicker, example-heavy tour of the key tests, distributions, and pitfalls that show up in real datasets. If you prefer learning stats through Python code, 'Think Stats' and 'Bayesian Methods for Hackers' are approachable and practical — the latter is especially fun if you want intuition about Bayesian thinking without getting lost in heavy notation. For those who like learning by building algorithms from scratch, 'Data Science from Scratch' does exactly that and forces you to implement the basic tools yourself, which is a fantastic way to internalize both code and concepts.

When you’re ready to step into machine learning and deeper modeling, 'Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow' is my go-to because it ties the algorithms to code and projects — you’ll go from linear models to neural nets with practical scripts and exercises. For the math background (linear algebra and calculus that actually matter), 'Mathematics for Machine Learning' gives compact, focused chapters that I found way more useful than trying to digest a full math textbook. If you want an R-flavored approach (which is excellent for statistics and exploratory work), 'R for Data Science' by Hadley Wickham is indispensable: tidyverse workflows make data cleaning and visualization feel sane. Finally, don’t forget engineering and best practices: 'Fluent Python' or 'Effective Python' are great as you move from hobby projects to reproducible analyses.

My recommended reading order: start with a beginner Python book + 'Automate the Boring Stuff', then 'Python for Data Analysis' and 'Data Science from Scratch', weave in 'Think Stats' or 'ISL' for statistics, then progress to 'Hands-On Machine Learning' and the math book. Always pair reading with tiny projects — Kaggle kernels, scraping a site and analyzing it, or automating a task for yourself — that’s where the learning actually sticks. If you want, tell me whether you prefer Python or R, or how much math you already know, and I’ll tailor a tighter reading list and a practice plan for the next few months.

Is Chemistry: The Central Science Suitable For Absolute Beginners?

4 Answers2025-08-24 12:54:52

There's this quiet thrill I get when I think about chemistry as a doorway rather than a wall. For an absolute beginner, chemistry is absolutely suitable — but it helps to treat it like learning a language. Start with the alphabet (atoms, elements, the periodic table), then simple grammar (bonds, reactions), and only later tackle poetry (thermodynamics, quantum orbital shapes). When I first poked at it, the tiny experiments that required nothing more than baking soda, vinegar, or red cabbage indicator made the whole subject click. They were cheap, surprisingly visual, and reminded me that chemistry is everywhere: in cooking, cleaning, and the fizz in a soda can.

Practical tips I swear by: pace yourself, use multiple resources (videos, a friendly beginner textbook like 'Chemistry: A Very Short Introduction', and PhET simulations), and don't skip safety basics. Math shows up, but it’s mostly algebra and ratio sense early on; you can build that as you go. If you lean into curiosity and accept small failures as learning, chemistry stops being intimidating and starts being a craft you can practice and enjoy.

How Accurate Is The Andy Weir Martian Science Portrayal?

4 Answers2025-08-30 04:40:33

I got pulled into 'The Martian' on a rainy evening and stayed up way too late because the engineering stuff actually hooked me, which says a lot. On the whole, Andy Weir nails the feel of real problem-solving: the chain-of-thought math, the step-by-step jury-rigging, and the practical use of off-the-shelf tech. The greenhouse/potato storyline is surprisingly believable — Martian regolith lacks organics but, with fertilizer and careful water control, you can coax plants to grow. Weir also handles basics like Mars' thin air, lower gravity, and power budgeting in a way that feels authentic to anyone who's fiddled with electronics or camping gear.

That said, he does take a few liberties for drama. The opening storm that damages the mission is the classic example — Mars' atmosphere is so thin that a wind strong enough to topple Hab modules and trailers is extremely unlikely. Similarly, some of the movie's sound and visual cues don't reflect how muffled and quiet things would be on Mars. But those are storytelling choices rather than ignorance. NASA scientists have openly praised the book's overall realism, and a few nitpicky technical bits (like simplified orbital mechanics or compressed timelines) are reasonable trade-offs to keep the plot moving. If you're into the mix of hard science and character-driven survival, 'The Martian' sits in a satisfying middle ground.

If you want to dive deeper after reading, check out interviews with Andy Weir and the NASA breakdowns — they're great for comparing the neat, gritty fixes in the book to how engineers would actually approach the same problems.

How Does Flatland Novel Influence Modern Science Fiction?

5 Answers2025-04-29 11:02:46

Reading 'Flatland' feels like stepping into a thought experiment that reshapes how I see dimensions and reality. The novel’s exploration of a two-dimensional world and its inhabitants’ struggle to comprehend the third dimension is mind-bending. It’s not just a story; it’s a framework for thinking about the limitations of perception. Modern sci-fi often borrows this idea, using it to explore higher dimensions, parallel universes, and the boundaries of human understanding.

Take 'Interstellar' or 'The Three-Body Problem'—both dive into complex physics and dimensions, but they owe a debt to 'Flatland' for making such abstract concepts accessible. The novel’s allegory about societal hierarchy also resonates in sci-fi, where authors critique rigid structures through speculative worlds. 'Flatland' didn’t just predict the future of science fiction; it laid the groundwork for it, blending philosophy, math, and storytelling in a way that still feels fresh.

Where Can I Find Resources For A Physical Science Topic?

4 Answers2025-09-06 16:54:17

If you're hunting for solid material on a physical science topic, I usually start by pinning down exactly what I want to learn—mechanics? electrostatics? materials?—then I layer resources so theory, visuals, and hands-on work reinforce each other.

For textbook-style depth I’ll reach for classics like 'The Feynman Lectures on Physics' or modern free texts such as 'OpenStax' books; they give me the rigorous explanations and worked examples. For courses, 'MIT OpenCourseWare' and 'Coursera' or 'edX' courses are gold—video lectures, problem sets, and sometimes labs. For quick conceptual refreshers I use 'Khan Academy' and a handful of YouTube channels that explain experiments and intuition really well.

To make ideas stick I mix in simulations and community help: 'PhET Interactive Simulations' lets me tinker with variables, and forums like Physics Stack Exchange or relevant subreddits help when I’m stuck. For current research I use Google Scholar and arXiv, and for hands-on experiments I check local maker spaces, suppliers, and safety datasheets so I don’t wreck anything. That combo—text, video, simulation, and community—keeps learning alive and practical for me.

Who Studies Plasma As A Physical Science Topic Professionally?

4 Answers2025-09-06 09:25:25

I love picturing the glowing, churning stuff that people call plasma — and professionals from a surprising bunch of fields study it full time.

In labs and at big facilities I visit mentally, you'll find specialists who focus on controlled fusion: folks working with tokamaks or stellarators, diagnosing hot plasmas, optimizing magnetic confinement, and chasing breakeven. Then there are space-oriented researchers who chase plasmas out in the solar wind, magnetospheres, and auroras — they build instruments for satellites and sift through data from missions. You also run into engineers who design RF systems, vacuum chambers, and plasma sources for industry, plus materials scientists who use plasmas to etch and deposit films in semiconductor fabs.

Beyond that, atmospheric researchers study lightning and sprites, medical researchers explore plasma sterilization and wound healing, and computational physicists develop particle-in-cell codes to simulate chaotic behavior. I love that a single physical state connects fusion power, glowing signs, comet tails, and chip manufacturing — it's a wild interdisciplinary party. If you're curious, check out papers from national labs or university groups; reading their methods sections gives a great peek into who does what and why I still get excited about plasma nights.

What Experiments Prove A Physical Science Topic Effectively?

4 Answers2025-09-06 02:52:21

I get a kick out of experiments that take a dry formula and turn it into something you can actually see and measure. For gravity, a classic is the free-fall or pendulum test: drop a ball and record its fall with a high-frame-rate phone camera or use a stopwatch and a photogate. Plot distance versus time squared, fit a line, and the slope gives you g/2 — it’s wonderfully concrete to derive 9.8 m/s^2 from your own data. Do multiple trials and show how averaging reduces scatter; that’s a neat intro to uncertainty.

For waves and light, a simple double-slit with a laser pointer and a single slit cut from foil will show interference fringes; measuring fringe spacing, distance to screen, and slit separation gives you the wavelength. On the electromagnetism side, drop a strong magnet down a copper pipe and watch it fall slowly — that visual of eddy currents and Lenz’s law makes an abstract magnetic damping force feel obvious. For forces and elasticity, hang masses from a spring and plot extension vs. force to confirm Hooke’s law and get the spring constant. Each experiment ties a measurable outcome to the theory: graphs, slopes, and error bars make the proof tactile and convincing.