#reporting databases

[creepyscritches]

Everytime I have to discern what the fuck the doctor meant by an abbreviation, I briefly think abt the twitter users I saw at each other's throats for using BPD to mean borderline personality disorder OR bipolar disorder like the acronym would run out of uses and wonder what they'd think if they saw even one page of the Stedman's Medical Abbreviation dictionary

[machinavocis]

yeah no i refuse to believe that 170+ people have now successfully done all their remote learning course completions + tradesperson business license renewals on my stupid god damn web app.

[bellshazes]

getting like a month's worth of emails done today and realizing why people think i'm so busy all the time. if you count all the sub-areas i'm responsible for like they should, as entire categories unto themselves, i think i have easily double the # of my coworkers. and i'm BORED

[junewild]

made an ENORMOUS database mistake & learned some important data management skills in a very big hurry. problem fixed tho 😅 i think i will not try new things when i’m this amount of tired & overworked

[pancakeke]

I made a big report a year ago that compares what components were allocated to orders the previous week vs what are allocated now (accounting for consumption n such). it looks at 100% of inventory in 100% of locations. for the first 9 months I was just logging changes while no one gave a shit cause everyone blew off our weekly inventory meeting so there was no one to review anything. but no one can do that anymore :)

I have all the part numbers, quantities, dollar values, and customer accounts laid out very nicely so no one in sales can accuse supply chain of buying stuff for no reason when really they changed their orders around without telling anyone so they wouldn't have to admit making any mistakes.

this report hasn't made them stop trying to lie/hide things in the first place tho. maybe one day.

[prospitfox]

.

[robotsafari]

i love fucked up gg story mode corruptions

[wizardlyghost]

can i just say that the fact that the pharmacist can't give me a lower dosage of my meds in the case of my proper dosage being unavailable is bullshit. like. your patient is prescribed 60mg of this medication daily, there are no 60mg tablets in stock, is it better to substitute it with a) 50mg daily or b) 0mg daily. come on.

[crankydevon]

most US libraries have consumer reports database online with an excellent search function. I use it so much! got a nice humidifier recently and it's great.

products are so bad now that i have to do approximately 8 hours of research before i buy anything

[fandfnews]

IIRF’s Dr. Kyle Wisdom Unveils the Violent Incidents Database

On a recent day in Nairobi, Kenya, Dr. Kyle Wisdom of the International Institute for Religious Freedom (IIRF) presented the groundbreaking Violent Incidents Database (VID) at the Religious Liberty Partnership event. This innovative tool provides religious freedom advocates with comprehensive, real-time data on violent incidents and violations across the globe, making it an essential resource in…

[thehardkandy]

got all my stuff done for class today. definitely spent a lot of time getting it all finished this weekend, but the upside is that i dont really have anything to worry or crunch about tomorrow

it was a productive learning experience since at work ive been doing a lot of stuff focused on the DB and forms aspect of things, and for this class site i focused more on state/interactivity throughout the page so that im comfier with alpine and the general life cycle of things. makes me aware of various limitations im gonna have to work around, but i do think it should be OK

plan for monday is that if all the migrations and seeders i wrote on friday work as i hope (and they did seem ready to go at that point) then im going to see about making the first bespoke form, cause while the out-of-the-box stuff we have is solid, there's just a whole heck of a lot of information density i need

i do wanna experience a tiny bit with using the out-of-the-box approach, but only to see kinda where it stops working. just too information dense with too many connected models

that latter point is probably also something i should keep in mind before i fully commit to my migrations, but idk. i still feel like ive made the right choice. but im going to keept he option open to humour the more... naive approach if it seems necessary, cause i think it's much more important to have the data be easy to work with than like.t he absolute most pure abstract representation of the stuff

[excelworld]

[trendingreportz]

Genomics Market - Forecast(2024 - 2030)

Global Genomic Market Overview:

A genome is the genetic material of an organism. It includes both the genes and the noncoding DNA, as well as mitochondrial DNA and chloroplast DNA. The study of genomes is called genomics. The genomics market is gaining traction owing to its applications in various fields of study such as intragenomic phenomenon including epistasis, pleiotropy, heterosis, and other interactions between loci and alleles within the genome. In this era of medical and life science innovations shaping itself as an inevitable uptake for sustainability of mankind, the genomic research is poised for exponential growth owing to imperative genetic innovations feeding off it. Abundant potential has driven this arcade to reach a staggering market size of $16 billion - $16.5 billion as of 2018, and the demand is estimated to increment at formidable CAGR of 9.2% to 10.2% during the forecast period of 2019 to 2025.

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Global Genomic Market Outlook:

Genomics is extensively employed in healthcare, agriculture, biotechnology, DNA sequencing, and diagnostics. In the healthcare segment, genomics is used for the development of vaccines and drugs. This segment leads the application vertical and is growing with a CAGR of 10.1%-10.7 % through to 2025. Genomics plays a significant part in diagnosis of several genetic disorders. It has an ample scope in personalized medication as it can advocate a medical management constructed on the genetic face of a person with the help of clinical data and AI.  It is also applied in synthetic biology and bioengineering. Genomics research in agriculture is hired for plant breeding and genetics to cultivate crop production. The understanding of gene function and the accessibility of genomic maps along with an enhanced understanding of genetic variant will aid the plant breeders to identify the traits and then manipulate those traits to obtain a high yield. All these factors affecting the enormous medical and agricultural sector are all set to stroke the genomics market with abundant demand.

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Global Genomic Market Growth Drivers:

As per the National Center for Biotechnology Information, U.S, the progression in oncology (study and treatment of tumor) expenses is forecast to rise 7%–10% annually throughout 2020, with universal oncology cost exceeding $150 billion[1]. As per the WHO, cancer is a leading cause of death worldwide, accounting for an estimated 9.6 million deaths in 2018[2]. And the total annual economic cost of cancer at the initial period of this decade was estimated at approximately $1.16 trillion. Thus the application of genomics in exploring cell-free circulating DNA by several R&D sectors as a potential biomarker for cancers is driving the market towards exponential growth. The genomics market with its current potential displays all the necessary traits it can adapt in the coming years to divert a huge chunk of traffic and revenue from the omnipresent cancer diagnostics.

As per the Food and Agriculture Organization of United Nations, between 1960 and 1990 the arable land increased by 1.5 billion ha, and in the recent past decades the elevation recorded is just 155 million ha[3]. With decreasing arable floor and the increasing global population augmenting the demand for food by 70% (by 2050), obtaining a high yield is a major trend in the agricultural sector. Genomics market is all set to capitalize on this unprecedented demand scenario. Genomics supplements the understanding of gene function and the accessibility of genomic maps along with an enhanced understanding of genetic variant, thus aiding the plant breeders to identify the traits and then manipulate those traits to obtain a high yield.

After an acute analysis of the regional insights of the global genomics market, North America is revealed to hold 39% to 40% of the entire global market size as of 2018. Such dominance can be attributed to several aspects such as cumulative investment on research by federal administrations, growing patient awareness, and accessibility of urbane healthcare facilities.

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Global Genomics Market Players Perspective:

Some of other key players profiled in this IndustryARC business intelligence report are Beckton Dickson, Synthetic Genomics Inc. (SGI) ,Cepheid, Inc., Affymetrix, Inc., Bio-Rad Laboratories, Inc., Agilent Technologies, GE Healthcare, Illumina, Inc., Danaher Corporation,F. Hoffmann-La Roche, QIAGEN, Thermo Fisher Scientific and PacBio (Pacific Biosciences of California). Majority of the companies mentioned are situated in North America augmenting the regional affluence in the global market.

Global Genomics Market Trends:

High overload owing to a wide range of reagents and consumables has propelled companies into approving different policies to endure in the market and stay ahead of the curve.

For instance, in January 2017, BD launched Precise WTA Reagents for precise and guileless quantification of hereditary data form single cell analysis. Moreover, in July 2016, SGI-DNA entered into a distribution agreement with VWR International, an American company involved in the distribution of research laboratory products, with over 1,200,000 items to more than 250,000 customers in North America and Europe.

Genomics Market Research Scope

The base year of the study is 2018, with forecast done up to 2025. The study presents a thorough analysis of the competitive landscape, taking into account the market shares of the leading companies. It also provides information on unit shipments. These provide the key market participants with the necessary business intelligence and help them understand the future of the Genomics Market. The assessment includes the forecast, an overview of the competitive structure, the market shares of the competitors, as well as the market trends, market demands, market drivers, market challenges, and product analysis. The market drivers and restraints have been assessed to fathom their impact over the forecast period. This report further identifies the key opportunities for growth while also detailing the key challenges and possible threats. The key areas of focus include the types of equipment in the Genomics Market, and their specific applications in different phases of industrial operations.

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Genomics Market Report: Industry Coverage

Types of Solutions Genomics Market:

By Product Types- Microarray chip, Sequencers.

By Application- Genotyping, SNP analysis.

By End-User- Anthropology, Diagnostics.

The Genomics Market report also analyzes the major geographic regions for the market as well as the major countries for the market in these regions. The regions and countries covered in the study include:

North America: The U.S., Canada, Mexico

South America: Brazil, Venezuela, Argentina, Ecuador, Peru, Colombia, Costa Rica

Europe: The U.K., Germany, Italy, France, The Netherlands, Belgium, Spain, Denmark

APAC: China, Japan, Australia, South Korea, India, Taiwan, Malaysia, Hong Kong

Middle East and Africa: Israel, South Africa, Saudi Arabia

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[farkenshnoffingottom]

My university has also turned ai detection off, thankfully. Another reblog on this post said turnitin uses 'unusual grammar' as evidence of ai, which is such a big problem. It's not just ESL students, either, it also targets first gen students, people from poor school districts who've never gotten individual attention from a teacher because classes are too big, etc., and disproportionately POCs, even if English is their first language. I teach intro/gen ed courses, and so many of my students have never been taught how to write in an 'academic' way, and that's the kind of stuff that gets pinged by turnitin

I'm gonna echo op and say they're also just bad essays. No specific evidence is not a dead giveaway, because many of my students don't use evidence in the way I've asked them to, but it is already a mark against the essay. A major giveaway I've seen is suddenly switching topics to something that's not really connected, but I've also got a lot of students who just never learned how to use transitions, so I can't assume it's ai. So the official guidance from my department lines up with my own strategy of just grading it like it's a student-written paper, and that leaves us with all of the previously stated problems

Op's right about really bad papers making me grumpy when grading, and I try to step away and come back to an essay later when that happens to see if I was being unfair, but usually it's still not anywhere near meeting the assignment requirements. My own advice to students: showing us you're trying can really make a difference. Grading is subjective, and one of the things that makes me more generous in how I'm grading something is if you've emailed me or we've had a conversation beforehand. Partly it's just that I now recognize your name out of a class of too many to count, and that shows me you're engaged and trying. But also, it means that when I come across a point that isn't really clear in your writing, I have a sense of what you were trying to say, and it becomes a matter of your writing missing the mark rather than you not understanding the subject, and that has much more wiggle room (I don't like making this assumption, but when the only interaction I have from someone is an essay that doesn't make sense, I don't really have another reference point)

An important message to college students: Why you shouldn't use ChatGPT or other "AI" to write papers.

Here's the thing: Unlike plagiarism, where I can always find the exact source a student used, it's difficult to impossible to prove that a student used ChatGPT to write their paper. Which means I have to grade it as though the student wrote it.

So if your professor can't prove it, why shouldn't you use it?

Well, first off, it doesn't write good papers. Grading them as if the student did write it themself, so far I've given GPT-enhanced papers two Ds and an F.

If you're unlucky enough to get a professor like me, they've designed their assignments to be hard to plagiarize, which means they'll also be hard to get "AI" to write well. To get a good paper out of ChatGPT for my class, you'd have to write a prompt that's so long, with so many specifics, that you might as well just write the paper yourself.

ChatGPT absolutely loves to make broad, vague statements about, for example, what topics a book covers. Sadly for my students, I ask for specific examples from the book, and it's not so good at that. Nor is it good at explaining exactly why that example is connected to a concept from class. To get a good paper out of it, you'd have to have already identified the concepts you want to discuss and the relevant examples, and quite honestly if you can do that it'll be easier to write your own paper than to coax ChatGPT to write a decent paper.

The second reason you shouldn't do it?

IT WILL PUT YOUR PROFESSOR IN A REALLY FUCKING BAD MOOD. WHEN I'M IN A BAD MOOD I AM NOT GOING TO BE GENEROUS WITH MY GRADING.

I can't prove it's written by ChatGPT, but I can tell. It does not write like a college freshman. It writes like a professional copywriter churning out articles for a content farm. And much like a large language model, the more papers written by it I see, the better I get at identifying it, because it turns out there are certain phrases it really, really likes using.

Once I think you're using ChatGPT I will be extremely annoyed while I grade your paper. I will grade it as if you wrote it, but I will not grade it generously. I will not give you the benefit of the doubt if I'm not sure whether you understood a concept or not. I will not squint and try to understand how you thought two things are connected that I do not think are connected.

Moreover, I will continue to not feel generous when calculating your final grade for the class. Usually, if someone has been coming to class regularly all semester, turned things in on time, etc, then I might be willing to give them a tiny bit of help - round a 79.3% up to a B-, say. If you get a 79.3%, you will get your C+ and you'd better be thankful for it, because if you try to complain or claim you weren't using AI, I'll be letting the college's academic disciplinary committee decide what grade you should get.

Eventually my school will probably write actual guidelines for me to follow when I suspect use of AI, but for now, it's the wild west and it is in your best interest to avoid a showdown with me.