#The Real Data Science Course
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Data Analytics Training In Marathahalli
Techyse Education in Marathahalli, Bangalore, offers specialized Data Analytics Training in Marathahalli for individuals looking to build expertise in Python, Power BI, and data analysis techniques. Their industry-aligned courses focus on practical learning through real-world projects, ensuring students gain hands-on experience in data manipulation, visualization, and dashboard creation. Whether you are a beginner or an experienced professional, Techyse’s programs are designed to enhance your skill set, making you job-ready for roles in data analytics.
Comprehensive Data Analytics Training in Marathahalli Techyse Education takes pride in delivering high-quality Data Analytics Training in Marathahalli, backed by experienced instructors with deep industry knowledge. The curriculum covers essential tools and techniques, from data wrangling with Python to creating interactive dashboards using Power BI, ensuring students are prepared to meet industry demands. With personalized mentorship, career support, and placement assistance, Techyse provides a well-rounded learning experience. Whether aiming for career growth or a fresh start in data analytics, Techyse Education equips learners with the skills to excel in a competitive job market.
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How Can Data Science Predict Consumer Demand in an Ever-Changing Market?
In today’s dynamic business landscape, understanding consumer demand is more crucial than ever. As market conditions fluctuate, companies must rely on data-driven insights to stay competitive. Data science has emerged as a powerful tool that enables businesses to analyze trends and predict consumer behavior effectively. For those interested in mastering these techniques, pursuing an AI course in Chennai can provide the necessary skills and knowledge.
The Importance of Predicting Consumer Demand
Predicting consumer demand involves anticipating how much of a product or service consumers will purchase in the future. Accurate demand forecasting is essential for several reasons:
Inventory Management: Understanding demand helps businesses manage inventory levels, reducing the costs associated with overstocking or stockouts.
Strategic Planning: Businesses can make informed decisions regarding production, marketing, and sales strategies by accurately predicting consumer preferences.
Enhanced Customer Satisfaction: By aligning supply with anticipated demand, companies can ensure that they meet customer needs promptly, improving overall satisfaction.
Competitive Advantage: Organizations that can accurately forecast consumer demand are better positioned to capitalize on market opportunities and outperform their competitors.
How Data Science Facilitates Demand Prediction
Data science leverages various techniques and tools to analyze vast amounts of data and uncover patterns that can inform demand forecasting. Here are some key ways data science contributes to predicting consumer demand:
1. Data Collection
The first step in demand prediction is gathering relevant data. Data scientists collect information from multiple sources, including sales records, customer feedback, social media interactions, and market trends. This comprehensive dataset forms the foundation for accurate demand forecasting.
2. Data Cleaning and Preparation
Once the data is collected, it must be cleaned and organized. This involves removing inconsistencies, handling missing values, and transforming raw data into a usable format. Proper data preparation is crucial for ensuring the accuracy of predictive models.
3. Exploratory Data Analysis (EDA)
Data scientists perform exploratory data analysis to identify patterns and relationships within the data. EDA techniques, such as data visualization and statistical analysis, help analysts understand consumer behavior and the factors influencing demand.
4. Machine Learning Models
Machine learning algorithms play a vital role in demand prediction. These models can analyze historical data to identify trends and make forecasts. Common algorithms used for demand forecasting include:
Linear Regression: This model estimates the relationship between dependent and independent variables, making it suitable for predicting sales based on historical trends.
Time Series Analysis: Time series models analyze data points collected over time to identify seasonal patterns and trends, which are crucial for accurate demand forecasting.
Decision Trees: These models split data into branches based on decision rules, allowing analysts to understand the factors influencing consumer demand.
5. Real-Time Analytics
In an ever-changing market, real-time analytics becomes vital. Data science allows businesses to monitor consumer behavior continuously and adjust forecasts based on the latest data. This agility ensures that companies can respond quickly to shifts in consumer preferences.
Professionals who complete an AI course in Chennai gain insights into the latest machine learning techniques used in demand forecasting
Why Pursue an AI Course in Chennai?
For those looking to enter the field of data science and enhance their skills in predictive analytics, enrolling in an AI course in Chennai is an excellent option. Here’s why:
1. Comprehensive Curriculum
AI courses typically cover essential topics such as machine learning, data analysis, and predictive modeling. This comprehensive curriculum equips students with the skills needed to tackle real-world data challenges.
2. Hands-On Experience
Many courses emphasize practical, hands-on learning, allowing students to work on real-world projects that involve demand forecasting. This experience is invaluable for building confidence and competence.
3. Industry-Relevant Tools
Students often learn to use industry-standard tools and software, such as Python, R, and SQL, which are essential for conducting data analysis and building predictive models.
4. Networking Opportunities
Enrolling in an AI course in Chennai allows students to connect with peers and industry professionals, fostering relationships that can lead to job opportunities and collaborations.
Challenges in Predicting Consumer Demand
While data science offers powerful tools for demand forecasting, organizations may face challenges, including:
1. Data Quality
The accuracy of demand predictions heavily relies on the quality of data. Poor data quality can lead to misleading insights and misguided decisions.
2. Complexity of Models
Developing and interpreting predictive models can be complex. Organizations must invest in training and resources to ensure their teams can effectively utilize these models.
3. Rapidly Changing Markets
Consumer preferences can shift rapidly due to various factors, such as trends, economic changes, and competitive pressures. Businesses must remain agile to adapt their forecasts accordingly.
The curriculum of an AI course in Chennai often includes hands-on projects that focus on real-world applications of predictive analytics
Conclusion
Data science is revolutionizing how businesses predict consumer demand in an ever-changing market. By leveraging advanced analytics and machine learning techniques, organizations can make informed decisions that drive growth and enhance customer satisfaction.
For those looking to gain expertise in this field, pursuing an AI course in Chennai is a vital step. With a solid foundation in data science and AI, aspiring professionals can harness these technologies to drive innovation and success in their organizations.
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Boost Your Earning Potential: Top Courses in New York for Financial Success
New York, the bustling hub of business, technology, and creativity, offers myriad opportunities for those looking to enhance their skill set and increase their earning potential. Whether you’re looking to break into the financial district, scale the corporate ladder, or jump into the start-up scene, the city that never sleeps has something for everyone. Here is a curated list of top courses to…
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Data to Decisions: How Data Science Enhances Real-World Projects
In the twenty-first century, data is frequently referred to as the "new oil." Data is the driving force behind the digital age, just as oil was the driving force behind the industrial revolution. Data is abundant and, at times, overwhelming in its raw form. It is analogous to crude oil in the ground, ready to be retrieved and refined into valuable resources. Data science is the process of refining raw data into usable insights that power real-world projects and impact the future.
The Data Revolution
The data revolution has altered the way corporations, governments, and organizations work. When making vital decisions, relying on intuition or traditional procedures is no longer sufficient. With a world flooded with data, the capacity to extract relevant information and make data-driven decisions has become a competitive advantage.
Data Science as a Transformative Catalyst
Data science is the spark that bridges the gap between data and decisions. It is an interdisciplinary field that combines expertise in mathematics, statistics, computer science, and domain knowledge to identify hidden patterns, trends, and correlations within datasets. These insights, in turn, enable stakeholders to make educated decisions that can lead to increased efficiency, cost savings, and innovation.
Real-World Applications
Data science is more than simply an academic study; its real-world applications are broad and far-reaching. Let us look at some significant areas where data science may help:
Healthcare
In the realm of healthcare, data science is used to analyze patient information, predict disease outbreaks, and optimize treatment regimens. It aids in personalizing medicine, lowering healthcare expenses, and saving lives.
Finance
In the financial sector, data science is used for risk assessment, fraud detection, and algorithmic trading. It assists financial organizations in making educated investment decisions and maintains the security of financial transactions.
Marketing
Data science is the primary element behind tailored marketing strategies. It analyzes consumer behavior, identifies potential leads, and optimizes advertising efforts to increase sales and customer engagement.
Transportation
Data science is utilized in transportation for traffic optimisation, route planning, and the development of self-driving vehicles. It decreases traffic, improves safety, and reduces carbon emissions.
Education
Data science in education helps to personalize learning experiences, track student performance, and improve educational outcomes. It enables educators to personalize instruction to the requirements of individual students.
The Data-to-Decision Methodology
There are numerous critical steps involved in the path from data to decisions:
Data collection: Compiling information from multiple sources, such as social media, sensors, questionnaires, and historical documents.
Data Cleaning: Preprocessing data to remove errors, inconsistencies, and outliers.
Exploratory Data Analysis: Understanding the data's structure and relationships between variables.
Feature Engineering: Selecting relevant features and transforming the data for modeling.
Modeling: Using statistical and machine learning methods, predictive models are constructed.
Evaluation: Determining the optimal strategy and evaluating model performance.
Deployment: Putting the model into practice in practical settings.
Monitoring and Iteration: Refreshing the model on a regular basis to make it more accurate and flexible to changing circumstances.
Conclusion
The motor that propels us from data to decisions is data science. It enables real-world initiatives in a variety of industries, allowing organizations to make data-driven decisions that drive innovation and efficiency. Understanding the importance of data science is not simply an advantage in a data-driven society; it is a requirement for people who want to design a better, more informed future. The data-driven era has arrived, and the insights gained from data science are increasingly powering the decisions we make today.
Consider joining CACMS Institute, Amritsar's best computer institute, if you want to learn more about the transformative realm of data science. Our comprehensive data science courses will provide you with the information and skills you need to harness the power of data for real-world applications.
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"Power BI helps businesses collect, analyze, and visualize data. To boost your career, get Power BI certified. SCON Institute is a top Power BI certification training institute in Mumbai.
SCON Institute offers top-notch business analytics and data science training. A complete Power BI certification course covers data modeling, visualization, and report development. Hands-on Power BI training helps you solve real-world business problems.
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monday, august 26th
last week, classes for the fall semester officially started! it's absolutely wild to me that i'm a 2nd year PhD student now... 1st year went by hella quick but it was such a fruitful year. i'm hoping my 2nd year is just as amazing and filled with learning.
this semester, i'm taking
clinical neuro
multiple linear regression (data science course)
biostats and bioinformatics
prodev seminar
the biostats class starts in october bc its a half session, online course so in reality, im only taking 2 real classes at a time.
pictured above
setting up an EEG system in our lab for my upcoming study
the loft at this amazing coffee spot in PHX
my typed up data checklist and protocol for my EEG study (i don't want to admit how long those took me to write)
i hope you all have a great start to the semester!
#alexistudies#alexi's phd year 2#studyblr#studyspo#smartspo#gradblr#grad student#phd life#graduate student#elkstudies#morningkou#genspen#hey gen#learnign#study inspiration#study motivation#beautyinmechanical#engblr#stemblr#scienceblr#uniblr#collegeblr#student life
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project meridian loop theory
oohhh boy, we're back with me putting on a tinfoil hat and yapping about theories again
this is, of course, about the newest Project Meridian audio, so spoilers for that!!
(putting everything under the cut because theres a LOT)
JESUS CHRIST. okay. thats a lot. lots to unpack here mhm yep.
okay guys hear me out: Asset is stuck in a time or a simulation loop
bear with me im about to get REALLY nerdy with this BUT
Star Trek: The Next Generation, Season 5 Episode 18 — "Cause and Effect" is a time loop episode. the entire crew gets caught in a time loop for about 27 days (but they obviously dont realize this until theyre out of the loop) the loop always begins with Captain Picard's personal log, and always ends with the accidental destruction of the Enterprise brought on by their warp core exploding due to being damaged while attempting to get away from an incoming ship that lost control of its direction
throughout the episode, each time the loop resets, the crew experiences intense deja vu, brought on by the fact that theyre reliving the same day over and over. theyre able to predict small events that happen (what cards come next in a poker game, Beverly predicting Geordi coming into Sick Bay, etc)
AND in one iteration of the loop, the crew figures out that theyre IN a time loop, and devise a method to avoid getting hit by the previously mentioned ship, which would set off the chain reaction of the warp core exploding
they do this method by using big brain science time knowledge that im too tired to understand, but basically the motif of the number 3 starts showing up in the next loop reset, and when the Enterprise is once again faced with only two choices to get away from the incoming ship, Data realizes that the reoccurring 3s are connected to Commander Riker (who has three pips to signify his rank)
(for context, in every loop where the Enterprise gets destroyed, the Captain followed Data's plan of using the tractor beam to steer the incoming ship away from the Enterprise. Riker's plan was to depressurize the cargo bays) Data follows through with Riker's plan, and this time the Enterprise doesnt explode (yippee!!)
you might be thinking, "Vinn, you just explained the entire episode to us. what does that have to do with project meridian??"
well, using instances from "Cause and Effect," we can compare them to some instances that just happened in "Something's Wrong"
— the second phone call could be an outside attempt to break Asset from the time/simulation loop
— Asset knowing who the Solitaires are despite not having access to information on them could be from another loop where James told them who the Solitaires are, and Asset remembering
— the phone at the end could signify the end/restart of the loop
— Asset's uneasiness about the Meridian in the beginning of the audio and their want to "seek approval" before entering it ( could be brought on by them somewhat remembering whats happened in previous loops)
— the first phone call (the one James picks up), theres some spooky ooky ambience in the background (could be that the phone is a conduit to the "real" timeline/world and only Asset is able to pick up on that??)
— when Asset and James leave the first room and enter a new area, someone on the PA makes an announcement for the Deltas. this announcement glitches, but James doesnt seem to notice, as he continues talking (i cant quite make it out, but it almost sounds like someone else is saying something?) (again, it could be interference from outside of the loop attempting to reach Asset)
— when stepping out of the elevator, someone brings James "the latest simulation report." again, outside interference/echoes from a previous loop perhaps trying to signal to Asset that theyre stuck in a simulation
— phone at the end also as someone saying "pick up" or "wake up," didnt realize until someone pointed it out. its very faint, but its there (again, could be someone attempting to break Asset out of the loop)
one thing that i find interesting (thats not related to the loop theory) is that James says the force in the Meridian "diverts demons away" and "breaks human minds" when usually demons are allowed through the Meridian and humans just. die. then again, we have no idea when PM takes place, so it could be normal if this is like,,, a good number of years in the future
uhh hashtag yeah. im perfectly sane guys :3
#if this turns out to be true i am going to lose it#GRAAAAAHHHHHHH#redacted asmr#redactedverse#redacted audio#redacted project meridian#redacted asset#redacted spoilers#redacted theories#vinn says fandom things#vinn yapping#vinn theorizes
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Im doing a project about disinformation (specifically pseudoscience) and I've found a great paper that is trying to define pseudoscience by one common characteristic.
"Boudry and Braeckman (2011) have distinguished between ‘immunizing strategies’ and ‘epistemic defense mechanisms’, documenting how these appear in various guises in practically every pseudoscience (the relationship with Popper’s “conventionalist stratagems” will be discussed in 4.1). Immunizing strategies are defined as generic arguments or tactics that serve to protect a belief system from critical scrutiny and adverse evidence, while defense mechanisms refer to the special cases in which the immunizing tactics form an integral part of the belief system itself. (...) In many pseudoscience, core concepts are either ambiguous and amenable to a range of interpretations, or they are retrospectively redefined whenever threatened with refutation. Such strategic vagueness is characteristic of creationism and Intelligent Design theory, astrology, Freudian psychoanalysis, graphology, homeopathy, and various forms of alternative medicine." - Diagnosing Pseudoscience – by Getting Rid of the Demarcation Problem, Maarten Boudry
I just thought it might be relevant in your fight against astrology/anti-science crowd. Science doesn't try to immunize itself against scrutiny, only pseudo-science does.
I want to be so clear here that I do pretty vigorously disagree with the notion that everyone working in the sciences is a noble intellectual who's always open to new data and loves being proven wrong. anyone can be a shithead and I never made the claim that every psychologist in the world is a beacon of perfect, unbiased research and is above reproach. of COURSE some scientists try to immunize themselves against scrutiny, for any number of reasons including biased ones because people in any field can be real shitheads who 100% let their own bigotries color their work. that of course includes psychologists, given that psychologists are human and therefore fallible.
my stance is not and has never been "psychology is superior to astrology because it's an academically unblemished field of study," it's "psychology is more credible than astrology because it's a.) a field of study that is at least held to some standards and b.) dedicated to studying something that demonstrably has an effect on human behavior, unlike planetary movements."
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So my wife and I are working on a long fic that's a Terror modern AU set in a secondary school. My wife is a teacher and has experienced The Horrors of crappy schools being taken over by academy trusts and becoming weirdly corporate firsthand. We're like 50k into it and it'll probably be like 60k? I think? Anyway we're uploading it on my Ao3 soon but here's a brief rundown of some of the highlights:
Crozier is the new joint head of school, he's been moved there against his will to work alongside Fitzjames, the 'Head of Data', which Crozier thinks isn't a real job.
Franklin is the Executive Head but he's NEVER at the school, he's always busy at head office and has no idea what chaos goes down.
Fitzjames used to be a drama teacher until he got promoted up. He hasn't taught in years and so Crozier has zero respect for him...at first.
Little is the exhausted head of English and he is regularly being verbally abused by the children. He is having a Bad Time.
Hodgson is the music teacher. Irving is the art teacher.
Collins is the maths teacher...he has had a sniffle since the start of the year...he is maybe over medicating with Lemsip and cough medicine in an effort to keep coming to work.
Goodsir is the bright-eyed NQT biology teacher. He is still full of wonder and hope. Oh, to see the UK education system 'with eyes as an NQT...'
Stanley is the head of science. He is not full of wonder and hope. Obviously.
Blanky is the geography teacher who has been there since forever and doesn't take any shit. He's beloved by the kids but they also rightly fear him because he will tell them what for if they misbehave. He also has NO concept of professional corporate speak in emails. He will tell it like it is.
...Oh yeah, there's emails in there too. It's partly epistolary.
Jopson is the highly competent office worker for the school reception. He WILL find a way to schedule the unscheduleable, he WILL handle any difficult parent that comes his way, and he WILL answer every email in a timely fashion.
He works alongside Billy of course, who doesn't want to be there, except maybe for the gossip.
Bridgens takes on the work of several as is normal in a terrible school...he's librarian, and the first-aider, and a TA, along with his husband Peglar who is also a TA.
Tozer is the disillusioned P.E teacher who USED to enjoy his job until Heather left and took another job on the other side of the country and the Academy (Admiralty Trust) took over...now he hates his job and is totally checked out.
And then of course there's Hickey...a problematic parent who has made bringing down Crozier and the school his primary goal. It was very hard to imagine Hickey with a kid but we came to the decision that his daughter was born when he and the girl's mother were like 15, a one-time fling before he figured out his sexuality, and he has Regretted It Ever Since because good GOD this man doesn't want to be a father. He only has her on weekends and isn't in contact with her mother at all. He WANTED to run off to Hawaii like in canon but then his kid's mother said she'd chase him to the ends of the earth for child maintenance if he did. He is NOT a good father, this troubled, angry teenage girl lives off takeaway and pot noodles and they mostly just try to avoid each other when she's at his scummy little flat. HOWEVER, because Hickey is all about his ego, when there are Issues with his daughter at school Hickey takes it as a slight against HIM, and makes revenge his goal.
His daughter also features, she's a 'managed move' student who was nearly expelled from her last school for bringing in a knife. She's very troubled and terrorises the teachers (she's referred to as 'a little terror' in one of the emails...) but she also ends up bonding a little with Crozier, who tries his hardest to turn things around for her. It's just too bad her father wants to cause Problems rather than do anything to ACTUALLY help her.
Anyway yeah. It's mostly comedic but with a few serious issues tackled (like the obvious neglect this girl experiences, for one) - it's mostly been a way for my teacher wife to rant about Academy schools and just the general failings of the UK school system lmao. There is Social Commentary involved.
Anyway it's Coming Soon.
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Techyse Education in Marathahalli, Bangalore, offers specialized Data Analytics Training in Marathahalli for individuals looking to build expertise in Python, Power BI, and data analysis techniques. Their industry-aligned courses focus on practical learning through real-world projects, ensuring students gain hands-on experience in data manipulation, visualization, and dashboard creation. Whether you are a beginner or an experienced professional, Techyse’s programs are designed to enhance your skill set, making you job-ready for roles in data analytics.
Comprehensive Data Analytics Training in Marathahalli Techyse Education takes pride in delivering high-quality Data Analytics Training in Marathahalli, backed by experienced instructors with deep industry knowledge. The curriculum covers essential tools and techniques, from data wrangling with Python to creating interactive dashboards using Power BI, ensuring students are prepared to meet industry demands. With personalized mentorship, career support, and placement assistance, Techyse provides a well-rounded learning experience. Whether aiming for career growth or a fresh start in data analytics, Techyse Education equips learners with the skills to excel in a competitive job market.
Techyse Education | Data Analyst, Python, Power BI Training in Marathahalli, Bangalore
18, Krishna Summit, 307, 3rd Floor, Aswath Nagar, Next to Canara Bank, Marathahalli, Bangalore, Karnataka 560037
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Alegría VS Caruso: Day 1, Part 3
Previous
Dulce’s lifelong friend, Matthew Fyres, agreed to take the stand in court to verify the digital evidence. He works in cybersecurity and is highly skilled in computer science.
Back in Italy, he lived a bit further from Dulce and Guillermo, so they didn’t get to hang out as much. However, their bond was as strong as ever. He was more than willing to help Dulce.
It was risky to use him instead of a random expert who would be undeniably neutral on the stance, but part of the strategy was to show that Dulce has a lot of support and loyal friends.
“Mr. Matthew Fyres, please explain your role and credibility,” Antonio calmly asked. He knew Matthew was quite nervous.
Matthew took a deep breath to soothe himself. “I work for the cybersecurity agency of Italy’s government. I cannot share much about what I do since I handle sensitive information, but I am a professional in this line of work.”
“And you have verified the digital evidence we presented thus far? Including Ms. Alegría’s cookbook project files and data from her channel?”
“Yes, that’s correct.”
Isabela smirked. It was her turn to question him.
“Mr. Fyres. I’d also like to point out the interesting timeline of the creation of these digital records. They only date back to about a year ago, correct?”
Matthew hesitated.
Dulce’s eyes widened.
It’s true! Still, it’s her work. She transferred everything over from-
“Yes..” Matthew admitted. He was stuck! He didn’t know what else to say to that.
The courtroom began to fill with a few whispers from the jury and audience.
Dulce was thinking of something, what was it???
Isabela took a sharp turn and faced the jury. “And the social media accounts? When the evidence was being presented, I noticed a small dip in viewership and subscriptions before Mr. Caruso’s video was published. There was one, correct?”
“Yes, because Mr. Caruso posted an Instagram story announcing the breakup. However, the percentages were an insignificant amount.”
“It was still a noticeable amount. Viewers and sponsors were already losing faith in her or only liked her because of Mr. Caruso. Her videos appealed to the masses because she was good at playing the part of a chef with humble beginnings. However, many comments in Mr. Caruso’s video prove that a good portion of viewers already had suspicions about her. He inspired other people to come forward with their opinions. Ms. Alegría is not a real chef. She is a liar and a manipulator. Her downfall was destined to come sooner or later–”
“Objection! Ms. Campos is making baseless accusations against my client.”
Too many objections can make a lawyer look like there is something to hide, but Antonio felt like he had to do it.
“Overruled. Continue, Ms. Campos.”
Antonio sat down, his mind racing.
“Here is my last question: So far, we’ve gathered that Ms. Alegría is rather skilled at exploiting others. Could she have persuaded you to fabricate or alter the evidence? Just like how she let Mr. Caruso believe there was a future between them AND persuaded him to let her take credit for his recipes?”
The courtroom burst with noise as people reacted to her bold claims. Some people seemed persuaded.
Antonio glared at Isabela. I miscalculated...
Dulce looked down. It was hard to concentrate with all the chatter. Gosh, can everyone shut up for a second?
The judge was exclaiming, “Order! Order!” to no avail.
Then, it clicked. Shit. My notebook! That’s where I originally kept all my recipes. Where did I last see it? Did I leave it in Tartosa?
She smiled.
No, of course I brought it! That's how I transferred everything from my notebook to my computer a year ago.
It’s in my office. It has the dates and everything.
Maybe we can do ink dating testing or whatever it's called!
Things look bad now, but her culinary friends would come another day. Her notebook could surely help too. She has to tell Antonio.
Previous
#our buddy matthew 😌 i had to give him a part!! <3#oh btw this is the last part for day 1#dulce alegria#matthew fyres#oc mlt: antonio romero#oc mlt: isabela campos#tjolc gen 2#alegria legacy#matchalovertrait#tjol challenge#sims 4#ts4#the sims 4#tjolc#sims#sims 4 legacy
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Saw this really cool post of a 1982 "SF" (Science fiction but in Japan that included things like anime, manga, tokusatsu, etc at the time) magazine that did a survey of active fan groups/circles at the time - ~woo, precious data! Lets see what we got:
Love to see a good gender breakdown - as is often the case in these things, while it is of course majority men the number of women participating is very strong. You do notice the age imbalance there - many women in their teens and college-aged, but it drops off quickly. I suspect that this is primarily because this survey is right in the middle of the first wave of the "pop SF boom", where more approachable works like Gundam and new manga subgenres were rapidly growing the community. So the older cadre was more heavily men, while the new group is more balanced. However, this is the early 1980's - it might just be that when a woman graduates college she was expected to marry and "settle down" still, inhibiting participation in these kinds of groups. I think it is primarily the former, Japan had pretty rapidly changed in the 1970's and female creative types were commonplace by then, but I won't pretend the latter players no role.
The writing on this page just contextualizes the piece, not much to report, though it does note that "3 people replied 'other' for gender...as a joke!" Sure, jan!
Anyway, on to page 2, what is our poll question of the day...
ロリコンについてどう思いますか? What do you think about lolicon?
....*siiiiiighs* guys I didn't, I didn't look at the second page before typing this up! I just wanted to report the gender data! This just happens to me, I swear -_-
But I can't back out now I guess:
It actually splits the question by gender - men are asked "are you a lolicon" while women are asked "what do you think of guys who are lolicon" - sexists, way to erase the female lolicon. Not actually joking there, it is a quite a thing due to its overlap with rape and dubcon fetishes - but I won't pretend I have expertise on the prevalence of that in 1982 Japan's SF community, even if it you see it today. Anyway, most men are not lolicons (the tallest line), though others fall on a spectrum from interested to "graduated", certainly a choice of words one could make.
Funnily a good dozen say they are called that by others, but not themselves - I believe that is related to the vague line between loli & shoujo aesthetics at the time. Which is important to emphasize, as I always do on this topic - sometimes the word lolicon just means "youthful" or "cute", sometimes it means like high schoolers, and sometimes it means real-deal underage stuff, and you won't know without context.
Meanwhile two women label lolicon men as "cute!", good for those two living their truth, while others are broadly tolerant but have Opinions. Which is fun, because the rest of the page is people sharing said opinions, sorted into "good" or "bad"! Some choice ones:
★ It's a symptom of modern civilization’s sick parts, but also an inevitable phenomenon. It’s better than having a rabbit or cat complex. Don’t lay hands on young girls. Lolicon must remain platonic. (♂/19/)
You see this theme a bit, "symptom of modernity", the new sexual fetishes are a product of a changing world. Certainly up for debate, but also very "in vogue" for the 80's & 90's to worry about that sort of declinist narrative. Then again, guy is a catgirl and bunnygirl hater, not sure we should listen to their shit taste.
On the flip side you get the "natural way of things" types, of which this is my favourite:
★ There’s nothing abnormal about having a dream involving an uncontrollable urge towards pre-teens. Even Romeo and Juliet would have made Romeo a lolicon given Juliet’s age (14), but people don’t think of it that way. Only at that age can girls love and respect men without ulterior motives. (♂/19/)
That last line, you are telling me so much about you with that one!! You can see how this is discourse, right? Like if one side says you are a "symptom of modernity" you ofc respond with "this is how all guys are" and with callbacks to traditional culture.
The "bad" side has a lot of ruthless condemnation, with more than one call for the lolicons to simply die or labelling them worthless scum. The magazine's writers do try to keep the tone breezy but I do think this topic being actually contentious in the community pokes through here. Though this serious one really did undercut herself a bit at the end:
★ I can understand why one person of the same gender might feel admiration or affection for a child or young girl, but for a man to only be able to love much younger women? That’s a mental illness! If they aren’t willing to fix themselves, they might as well die. They’re enemies of women. It's not going to turn out like Nabokov's Lolita. (♀/20s/)
I mean they did also kill jesus Humbert Humbert in Lolita. that was a pretty significant thing that happened. like i understand where you’re coming from here but they very much did kill the Lolita guy.
There is an editorial at the end, and it echoes something one of the comments also states; that the lolicon boom was seen as coming from "hard" SF fans, the people who did the really nerdy stuff. There is a word they use actually which is neat: 根暗/Nekura, meaning someone with a "gloomy root". It began seeing use as a slang for hyper-serious, boorish people in the late 1970's and became a fad to use in precisely 1982 - here is a live record of that! They associate "hard SF" fans with these sort of gloomy types who can't take a joke or appreciate hanging out with the buds at a bar, that kind of thing. From there, and here I am reading between the lines, these fans like a sort of "idealistically sterile" world, and lolicon as a preference (in comparison to Real Adult Women) flows naturally.
I mention this because astute readers might be going "oh, like otaku?" and that word was only just buzzing around at this time - it is typically dated to 1983. The editorial writers note that these nekura-types are nowadays proud of that fact, wearing it like an identity:
A: I’m not really sure why, I don’t fully understand the inner workings of the SF world, but it’s like, out there, hardcore SF fans are considered gloomy. Maybe that’s why there’s this connection to lolicon? B: But surprisingly, everyone’s actually pretty cheerful. In today’s world, the 'dark and gloomy tribe' is trendy. It’s like they’re enjoying calling themselves gloomy, almost as a fashion statement.
So yeah, I can totally see proto-otaku discourse going on at the edges here.
There is a third page but it continues in a similar vein. A bunch of mentions of Hideo Azuma, who I am growing increasingly convinced was more of a lodestone for the lolicon boom than is currently appreciated - he is the ur-reference everyone makes. More discussion of girls in sailor uniforms as a gateway drug, yeah yeah, "is fine as long as its fiction", of course of course, one of the magazine editors remarking he wants "a wife for practical uses but a daughter as a pet" yeah okay we can call it we're done here, no more survey data anyway.
Not the topic I expected to find, but still this is really valuable "primary source data" - you can't trust the literary class fully on these things, having first hand quotes from community members on otaku culture in the era is always valuable.
Sorry if you got tricked into reading this - in my defense I did too!
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Hello!!! I hope you're doing well!! I would like to request cybertronian! Reader with like four arms and that's like the Queen or King of the battlefield in ancient Cybertron history (example: reader was the strongest Autobot ever in history and there's ancient data about reader and photos too ykyk what I'm getting👍🙏😭) and the reader then got summoned by Megatron or idk at that point but you can choose what happens!! :33 I hope this isn't too much😭
OH MY!!! I LOVE THIS!!! but reader is an autobot in this, please tell me if you want to see an decepticon version. You are a head taller than Megatron in this.
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You remembered everything about how you got killed, the crying before you lost your hearing, the optics looking in horror how the strongest autobot is about to die. Now? Nobody has any idea what happened, your body vanished before they started looking for it. Optimus carried your legacy as the one and last prime. He was your friend, but you didn't get to be friends that long. Since he was made so late and you met 10 years before the war started. It felt like you woke up immediately you fell down. Where am I? you think, but soon enough you hear a voice you recongize. Megatron. "The legend is real! Y/N! I have summoned you to help us decepticons to bring Cybertron back to life and rise as the Queen/King of the battlefields like you used to be!" used to? Used to?! "Since when I wasn't the Queen/King of the battlefields? And what do you mean summoned?" I put my upper hands on my waist and lower ones crossed. "You have been offline for quite a while, Y/N. Join us since I don't want to destroy such a fighter." What is he talking about? Before you could answer a spacebridge appeared. Well it's a groundbridge but you don't need to know that yet. Through the groundbridge walks Optimus Prime himself! "Orion?!" "OPTIMUS!" Both you and Megatron yelled. "Y/N DESTROY HIM!" Did he just order me around, used-to-be-low-level mech just ordered me around?! "Are you! GIVING ME! THE QUEEN/KING OF THE BATTLEFIELDS, ORDERS?" I jumped to attack Megatron, he dodged. Another swing and a hit aswell. Punching again, Megatron catched my servo, but is definitely struggling against all my strength. I almost forgot! I have four hands! You thought as you go and punch Megatron into his 'stomach'. You pick him up and throw him to the nearest cliff you see. "Y/n? It can't be." That low voice..turning around you look at the red n' blue mech. "Optimus?"
Optimus Prime
He missed you so much! So so so so much! No matter how emotionless he can be he definitely hugged you either at the spot where you two reunited or back at the base.
Before you were summoned and revived he used to look through your files. He always stared at the picture, trying to remember how you looked when he would do something smart or help them with something.
He would try (keyword! try) to spar with you as training, but he lost usually. (Much to his shock, he did think he was good at fighting.)
Would let you go alone to a mission (HOW) and lets you have fun with the kids every now and then.
He need help? You're there. He's losing to Megs? You're there to beat some decepticon aft.
He loves your four hands, anytime he would be hurt or just needs support all your hands would around him hugging him gently.
But in the battlefield? Oh oh I'm glad you asked. He doesn't know if he should be scared or proud to see you back in action. He is glad about that you would save him no matter what comes against.
Ratchet
He had heard about you when Cybertron still had life on it's surface.
He never believed you're real, until the moment he sees you.
Four arms!? He had to check them out (for science research of course) and see how they work, because he's a medic!
Anytime you would get wounded he's rushing over to you.
He would be against it that you would go on the battlefield. You ALWAYS have to confront him that you hold the title queen/king of the battlefield.
He does like how nice and helpful you are. Since you're the queen/king of the battlefield he didn't think you would be nice and help him around the lab.
If he needs an substitute for work when he needs rest you would take his place immediately for his sake.
Bumblebee
He would be a little scared of you since you beat Megatron so easily.
The moment you prove you wouldn't hurt any of the team he would be your son from now on.
You two always had each others backs.
He would love clinging on to one of your four arms.
He has any form of a problem? Don't worry you already know about it and you'll solve it.
If he would ever get hurt you would show the enemy why you hold the title as the queen/king of the battlefield
Before you arrived he used to read some datapads about you which he got from Optimus.
He would ask you to teach him how to fight.
Arcee
She would be amazed by the amount of arms you have, but won't show it until she trusts you.
Would trust you the moment you beat Megatrons aft in front of her optics, because none of the cons would dare to even poke him.
She would be grateful that you saved her and others in the Battlefield.
Would be surprised to find some old files of you and would be more shocked to read them.
You both are badass in Jack's opinion.
Since you know how awful it's to lose a partner in the team you won't question her or how untrusting she is.
If she would get hurt in the middle of a fight you would carry her with one of your hands and fight others.
Bulkhead
He would admire you and your strength. You just beat Megatron with ease!
He had heard rumours about someone like you when he was a wrecker back in Cybertron, but never believed them until now.
He always wants to go in battles with you to see how ruthless is the queen/king of the battlefields.
He was in trouble and cornered by vehicons in a energon mine? Those vehicons looked like they belonged in a scrapyard after you attacked them.
He would be a fanboy with wheeljack and praise the ground you walk on.
Training? Hell yea he would be in. Until he loses every single time.
Wheeljack
Oh oh don't even get me started!
Would hate you, but love your fighting style at the same time.
"pshh, show off." Could be heard anytime you and him were in the battlefield the same time.
You did start to grow on him. Suddenly you weren't so bad in fighting, suddenly you weren't such a show off, suddenly he seemed to like your presence.
Now? You two are the destructive duo.
Ratchet would be worried about you more than wheeljack.
"ouch, that just broke my spark docbot." He was definitely kicked in his aft after that.
He would go on drives with you so he could get to know you better. (Surprisingly since he's such a loner)
Smokescreen
He would run over to you the moment you walk into the base.
"YOU'RE REAL?!" apparently he has read about you before.
You wouldn't have any privacy for a week since he's like a golden retriever who clings to you 24/7
He would be flabbergasped how somebots in the team didn't trust you yet. "They're the strongest Autobot in history! Let's keep them, pleeeease!"
Like I said already. He's such a golden retriever. He needs your attention, he needs you to teach him fighting etc.
Now you're his new mom too! You got two new sons! Yippee i guess?
When he sees you in action, he has star eyes. You know when he talks about it when optimus first uses the star saber? He talks like that but even more excited!
Ultra Magnus
Has high respect for you, but would hate how reckless you can be with wheeljack.
He would give you a lecture, but it falls through deaf audio receptors.
The moment he sees you in action he would doubt you less.
He knew that you used to exist, well now that you're actually alive he can't help but feel a little bit relieved that the autobots have the upperhand.
If you would call him Sir he would let you off easier.
Was surprised when he lost his hand that you supported him best you can. He didn't think that the queen/king of the battlefields could be so soft.
Denied it when you suggested that he's your adopted grumpy son, since he's always so worried about you. (He is your son now, but doesn't let the team know)
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AN: I HOPE YOU LIKED IT AND I APOLOGIZE THAT IT TOOK SO LONG. I HAD A CAMP AND NOW SCHOOL IS STARTING SO I WAS BUSY😭😭🫶
#tfp x reader#bumblebee x reader#optimus prime x reader#ratchet x reader#tfp arcee#ultra magnus x reader#autobots x reader#smokescreen x reader#bulkhead x reader#wheeljack x reader
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AMARANTHINE - Dr. STONE
sum☆: "ᵉˡᵉᵍᵃⁿᵗ! " 𝙰𝙼𝙰𝚁𝙰𝙽𝚃𝙷𝙸𝙽𝙴 (adj.) undying, immortal, eternally beautiful In which Stanley Snyder, Xeno Houston Wingfield, and (Y/N) Ambrose were trapped in an unexpected stone world that had been petrified 3,700 years before. However, they were 'infiltrated' by some foreign brats all of a sudden. Of course, they don't give up without a fight, do they?
warnings:. all characters are 18+!!! violence. language. FICTION!! don't like it? scroll away!! first ever post on this app. english is not my first language, so ugh. (Dr. Stone x Reader) (Dr. STONE : New America City Arc) MANGA SPOILER
(CHAPTER 1) Z=149: Light Lure in Darkness
The Kingdom of Science, their boats skimming across the tranquil waters of the American forest, had finally stumbled upon the elusive "life-giving corn." Chrome, his eyes wide with excitement, was the first to spot it.
"HECK YEAH! WE FOUND IT!" he exclaimed, his voice echoing through the air.
Senku, ever the pragmatic one, couldn't help but grin. "Yeah, the cheat-code corn that the U.S. was so proud of," he said, a touch of nostalgia in his voice.
Gen, still relatively new to the group, tilted his head in confusion. "Cheat-code corn...?" he asked.
"The great yellow dent!" Senku replied. "It tastes like crap, but you can squeeze out a crazy amount of alcohol."
The Kingdom of Science desperately needed this corn. It was a crucial ingredient for the revival fluid they were developing, a fluid that could potentially bring the entire world back to life. Taiju, his determination unwavering, shouted,
"YEAH! AND THEN WE'LL BE ON OUR WAY TO REVIVING THE WHOLE WORLD! JUST HANG IN THERE AMERICAN STATUES! IT WON'T BE LONG NOW!"
The team was more motivated than ever. They were on the cusp of a breakthrough that could rewrite the course of history.
"But there's no telling how much of this corn is left," Senku cautioned.
Taiju, ever the optimist, dismissed his concerns. "Sure, but even with just a little bit, we can grow a whole bunch more!"
Ryusui, the captain of their vessel, nodded. "Then it's still a race against time."
As the boat continued its journey, Kohaku, ever vigilant, spotted something floating downstream. With her chopsticks, she scooped it out of the water.
"Corn kernels!" she exclaimed.
"Hah! They keep floating downstream," Kohaku said, holding up the kernels.
"It's seeming more and more likely that we'll find some growing upriver," Ukyo replied, his voice filled with excitement.
"Probably a real baaaad amount too!" Chrome added, his enthusiasm matching Ukyo's.
Suddenly, the radio crackled to life. "Greetings! Search team here. We discovered corn in the river..." The research team, of which Gen was a member, had found a cornfield nearby.
"Yayy!" the team cheered.
"Let us know if you find any downriver from where you are," Gen said into the radio.
"It's not the source, though," Senku added. "We still need more data."
As the team celebrated their discovery, two figures lurked in the shadows of the nearby forest. They had intercepted the transmission, their eyes glinting with a sinister intent.
"Grr... grr..." A pack of wolves howled in the distance. The two figures leaped from a tree, their movements swift and precise. With a flick of their wrists, the wolves were silenced.
Meanwhile, back with the research team, Senku was busy with a peculiar experiment. He was covering a light source with a white cloth.
"Wouldn't shining a bright light at night just attract bugs?" Gen asked, curious.
"That's a goal," Senku replied. "By checking out which bugs this light stimulus attracts, we can learn more about the area. And if my guess is right..."
As Senku continued his explanation, a flutter of wings caught their attention. A European corn borer moth, a moth that primarily feeds on corn, had been lured by the light.
"There's a ton of corn nearby," Senku confirmed.
"A butterfly? How pretty," Kohaku remarked.
"It's actually a moth," Gen corrected her.
"It's mostly a semantic distinction to start with," Ukyo added. "This light lure is eerily beautiful."
After setting up camp, the team discussed their findings. Senku concluded that there must be a cornfield nearby.
Just as they were settling in, Tsukasa sensed an unsettling presence. Matsukaze agreed, while Kohaku wondered if it was a beast. Ginro, however, remained calm, confident in their group's strength. Kinro, ever the cautious one, noted his sheepish nature.
Suddenly, a chilling realization dawned on them. They were being watched.
Tuskasa then mumbled."I sense...Bloodlust"
Tsukasa shouted, his voice filled with urgency. "TO THE BOAT! NOW! AND TAKE COVER!"
As they scrambled to board the boat, the sound of gunfire erupted from the forest. Bullets whizzed past them, narrowly missing their targets.
"A machine gun!" Ukyo exclaimed.
"WHAT THE HECK IS THAT?!" Ginro shouted.
"HMPH! Never underestimate a captain at his helm!" Ryusui replied, a confident smirk playing on his lips.
"WATER BULWARK!" he commanded. The boat surged forward, creating a protective barrier of water.
The figures in the forest watched with interest as the research team escaped.
"<Ooh, how did they know?>" one of them muttered.
"<How rare, a bunch of brats operating a boat,>" the other replied, a hint of amusement in their voice.
Back on the boat, the team was still reeling from the attack. Thankfully, no one was injured, thanks to Tsukasa's quick reflexes.
Gen and Yo discussed the incident, wondering if America had truly survived. Ryusui mentioned the statues, suggesting that the cornfield might have been planted by someone who had been revived.
"If so, we should be grateful as hell," Senku said, his voice filled with both anxiety and determination.
"Ku ku ku... worst case, we're looking at a showdown against an evil scientist," he added. "Too bad for them that's the one arena where I won't lose!"
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