#Laboratory Information Software

[sgsystemsglobal]

Exploring the Benefits of Laboratory Information Management Systems

A Laboratory Information Management System (LIMS) is a software solution designed to streamline and automate laboratory operations. It helps manage samples, data, workflows, and inventory efficiently. LIMS improves data accuracy, traceability, and reporting, ensuring compliance with industry standards. It enhances productivity by reducing manual tasks, minimizing errors, and providing real-time access to critical information. With customizable features, LIMS is used across various industries, including pharmaceuticals, healthcare, and environmental testing. By integrating laboratory processes into a centralized system, LIMS optimizes operations and supports better decision-making for improved outcomes.

[omshinde5145]

Laboratory Information Management System (LIMS) Market Share, Sales Channels and Overview Till 2030

The Laboratory Information Management System (LIMS) Market was valued at USD 1.6 billion in 2023 and will surpass USD 4.0 billion by 2030; growing at a CAGR of 14.0% during 2024 - 2030. This need has fueled the growth of the Laboratory Information Management System (LIMS) market, a sector that is becoming increasingly essential in the fields of healthcare, pharmaceuticals, biotechnology, food and beverage, and more. In this blog, we’ll explore the current trends, market growth, and the key factors driving the expansion of the LIMS market.

A Laboratory Information Management System (LIMS) is a software solution designed to streamline the operations of a laboratory. It facilitates the management of samples, associated data, and laboratory workflows. LIMS systems are crucial for ensuring the accuracy, efficiency, and compliance of lab operations, particularly in regulated environments. This growth can be attributed to several factors, including the increasing demand for automation in laboratories, the rising adoption of cloud-based LIMS solutions, and the expanding need for data integrity and regulatory compliance.

Get a Sample Report: https://intentmarketresearch.com/request-sample/laboratory-information-management-system-lims-market-3637.html

Key Trends in the LIMS Market

Cloud-Based Solutions: One of the most significant trends in the LIMS market is the shift towards cloud-based solutions. Cloud LIMS offers several advantages over traditional on-premise systems, including lower upfront costs, easier scalability, and enhanced data accessibility from remote locations. As more laboratories seek flexibility and cost-effectiveness, cloud-based LIMS adoption is on the rise.

Integration with Emerging Technologies: The integration of LIMS with emerging technologies like artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT) is transforming the way laboratories operate. These technologies enable predictive analytics, automated decision-making, and real-time monitoring, further enhancing the efficiency and accuracy of lab processes.

Focus on Data Security and Compliance: With the increasing importance of data integrity and the growing complexity of regulatory requirements, LIMS providers are prioritizing data security and compliance features. Laboratories, particularly in the pharmaceutical and healthcare sectors, require systems that can ensure compliance with regulations like FDA 21 CFR Part 11, GDPR, and HIPAA.

Customization and Flexibility: As laboratories vary greatly in their needs and workflows, there is a growing demand for customizable and flexible LIMS solutions. Vendors are offering more modular and configurable systems that can be tailored to the specific requirements of different labs, whether they are in research, clinical diagnostics, or quality control.

Growing Adoption in Emerging Markets: The LIMS market is not just expanding in developed regions like North America and Europe but is also seeing significant growth in emerging markets such as Asia-Pacific and Latin America. The increasing investment in healthcare infrastructure and R&D activities in these regions is driving the demand for LIMS solutions.

Key Players in the LIMS Market

Several companies dominate the LIMS market, offering a range of solutions tailored to various industries. Some of the leading players include Thermo Fisher Scientific, LabWare, LabVantage Solutions, STARLIMS (Abbott Informatics), and PerkinElmer. These companies are continuously innovating to offer advanced features, user-friendly interfaces, and robust support services to meet the evolving needs of laboratories worldwide.

Get an insights of Customization: https://intentmarketresearch.com/ask-for-customization/laboratory-information-management-system-lims-market-3637.html

Challenges Facing the LIMS Market

Despite the growth and innovation in the LIMS market, there are challenges that vendors and laboratories must navigate. These include the high costs associated with implementing and maintaining LIMS, the complexity of integrating LIMS with existing laboratory systems, and the need for ongoing training and support for laboratory staff.

Conclusion

The Laboratory Information Management System (LIMS) market is poised for significant growth in the coming years, driven by the increasing demand for automation, data integrity, and regulatory compliance in laboratories. As technology continues to evolve, LIMS solutions will become even more integral to the efficient and accurate operation of labs across various industries. For laboratories looking to stay competitive and compliant, investing in a robust LIMS solution is no longer just an option—it’s a necessity.

[micheclr]

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[labsystem00]

Laboratory Information Management System Software

Laboratory Information Management System Software : Lab System is a complete Digital lab management solution including popular evaluation boards, winning combinations and software, are hosted in a remote lab that one can access and test online.

[amplelogicpharma]

Revolutionizing Pharma Manufacturing: Unveiling the Benefits of LIMS Software

Are you curious about the secret behind the seamless operations in pharmaceutical manufacturing? Look no further! The key lies in the powerful Laboratory Information Management System (LIMS) software, transforming the industry with its multitude of benefits. Let's dive into the world of LIMS and explore how it's reshaping pharmaceutical manufacturing.

Efficient Data Management: LIMS acts as the digital brain of pharmaceutical laboratories, organizing vast amounts of data effortlessly. With streamlined data management, information becomes easily accessible, reducing the time spent searching for critical details.

Streamlined Workflows: Imagine a ballet of precision – that's what LIMS does for laboratory workflows. By automating and standardizing processes, it minimizes manual errors and ensures a consistent and efficient production cycle. The result? Increased productivity and reduced operational bottlenecks.

Enhanced Quality Control: In the pharmaceutical realm, quality control is non-negotiable. LIMS plays a crucial role by monitoring and managing data related to product testing. This meticulous oversight ensures that each batch adheres to stringent quality standards, minimizing the risk of defects and ensuring product excellence.

Regulatory Compliance Made Easy: Navigating regulatory requirements can be a challenge, but not with LIMS by your side. The software provides robust documentation and audit trails, simplifying the process of regulatory compliance. Say goodbye to stress during inspections and audits!

Data Traceability and Accountability: Ever wished for a magic wand to trace the journey of a product? LIMS grants that wish by offering comprehensive traceability. Track the history of each sample or product, supporting investigations and ensuring accountability throughout the production process.

Enhanced Collaboration: Communication is the key to success, especially in a bustling laboratory environment. LIMS fosters better collaboration by allowing different teams and departments to access and share data seamlessly. It's like having a digital bridge connecting every aspect of your operation.

Resource Optimization: LIMS isn't just efficient; it's also a master optimizer. By automating repetitive tasks and reducing manual labor, it enhances overall operational efficiency. This optimization leads to cost savings and improved productivity – a win-win for pharmaceutical manufacturers.

Real-Time Monitoring and Reporting: Say goodbye to waiting for reports. LIMS provides real-time monitoring and instant reporting, allowing quick responses to any deviations. Proactive decision-making becomes the norm, ensuring that any issues are addressed promptly.

Data Security and Integrity: Protecting sensitive data is a top priority in the pharmaceutical industry. LIMS ensures data security through user access controls and audit trails, maintaining the integrity and confidentiality of critical information.

Adaptability and Scalability: As your pharmaceutical enterprise grows, so do your needs. LIMS is designed to adapt and scale with evolving requirements, providing a future-proof solution for expanding operations.

In conclusion, LIMS is not just software – it's a strategic investment for pharmaceutical manufacturers aiming for operational excellence, product quality assurance, and regulatory adherence.

To gain a more in-depth understanding of our LIM Software, request a demonstration at: Click here to Request Demo.

[conferclinic]

Cloud-based Clinic / Hospital Management Software

Experience the best cloud-based clinic / Hospital Information Management Software with ConferClinic's cutting-edge SaaS platform.

Our comprehensive solution seamlessly integrates LIMS, Electronic Health Records (EHR), and efficient patient management, all within a user-friendly interface.

Embrace a paperless future and elevate your clinic's performance, tailored for healthcare providers worldwide. It caters to the needs of clinics, hospitals, labs, and doctors offering top-notch clinic management features and medical diagnostic software.

Discover the power of ConferClinic today and simplify and streamline your healthcare practice with ease!

[nostalgebraist]

Anthropic's stated "AI timelines" seem wildly aggressive to me.

As far as I can tell, they are now saying that by 2028 – and possibly even by 2027, or late 2026 – something they call "powerful AI" will exist.

And by "powerful AI," they mean... this (source, emphasis mine):

In terms of pure intelligence, it is smarter than a Nobel Prize winner across most relevant fields – biology, programming, math, engineering, writing, etc. This means it can prove unsolved mathematical theorems, write extremely good novels, write difficult codebases from scratch, etc. In addition to just being a “smart thing you talk to”, it has all the “interfaces” available to a human working virtually, including text, audio, video, mouse and keyboard control, and internet access. It can engage in any actions, communications, or remote operations enabled by this interface, including taking actions on the internet, taking or giving directions to humans, ordering materials, directing experiments, watching videos, making videos, and so on. It does all of these tasks with, again, a skill exceeding that of the most capable humans in the world. It does not just passively answer questions; instead, it can be given tasks that take hours, days, or weeks to complete, and then goes off and does those tasks autonomously, in the way a smart employee would, asking for clarification as necessary. It does not have a physical embodiment (other than living on a computer screen), but it can control existing physical tools, robots, or laboratory equipment through a computer; in theory it could even design robots or equipment for itself to use. The resources used to train the model can be repurposed to run millions of instances of it (this matches projected cluster sizes by ~2027), and the model can absorb information and generate actions at roughly 10x-100x human speed. It may however be limited by the response time of the physical world or of software it interacts with. Each of these million copies can act independently on unrelated tasks, or if needed can all work together in the same way humans would collaborate, perhaps with different subpopulations fine-tuned to be especially good at particular tasks.

In the post I'm quoting, Amodei is coy about the timeline for this stuff, saying only that

I think it could come as early as 2026, though there are also ways it could take much longer. But for the purposes of this essay, I’d like to put these issues aside [...]

However, other official communications from Anthropic have been more specific. Most notable is their recent OSTP submission, which states (emphasis in original):

Based on current research trajectories, we anticipate that powerful AI systems could emerge as soon as late 2026 or 2027 [...] Powerful AI technology will be built during this Administration. [i.e. the current Trump administration -nost]

See also here, where Jack Clark says (my emphasis):

People underrate how significant and fast-moving AI progress is. We have this notion that in late 2026, or early 2027, powerful AI systems will be built that will have intellectual capabilities that match or exceed Nobel Prize winners. They’ll have the ability to navigate all of the interfaces… [Clark goes on, mentioning some of the other tenets of "powerful AI" as in other Anthropic communications -nost]

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To be clear, extremely short timelines like these are not unique to Anthropic.

Miles Brundage (ex-OpenAI) says something similar, albeit less specific, in this post. And Daniel Kokotajlo (also ex-OpenAI) has held views like this for a long time now.

Even Sam Altman himself has said similar things (though in much, much vaguer terms, both on the content of the deliverable and the timeline).

Still, Anthropic's statements are unique in being

official positions of the company

extremely specific and ambitious about the details

extremely aggressive about the timing, even by the standards of "short timelines" AI prognosticators in the same social cluster

Re: ambition, note that the definition of "powerful AI" seems almost the opposite of what you'd come up with if you were trying to make a confident forecast of something.

Often people will talk about "AI capable of transforming the world economy" or something more like that, leaving room for the AI in question to do that in one of several ways, or to do so while still failing at some important things.

But instead, Anthropic's definition is a big conjunctive list of "it'll be able to do this and that and this other thing and...", and each individual capability is defined in the most aggressive possible way, too! Not just "good enough at science to be extremely useful for scientists," but "smarter than a Nobel Prize winner," across "most relevant fields" (whatever that means). And not just good at science but also able to "write extremely good novels" (note that we have a long way to go on that front, and I get the feeling that people at AI labs don't appreciate the extent of the gap [cf]). Not only can it use a computer interface, it can use every computer interface; not only can it use them competently, but it can do so better than the best humans in the world. And all of that is in the first two paragraphs – there's four more paragraphs I haven't even touched in this little summary!

Re: timing, they have even shorter timelines than Kokotajlo these days, which is remarkable since he's historically been considered "the guy with the really short timelines." (See here where Kokotajlo states a median prediction of 2028 for "AGI," by which he means something less impressive than "powerful AI"; he expects something close to the "powerful AI" vision ["ASI"] ~1 year or so after "AGI" arrives.)

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I, uh, really do not think this is going to happen in "late 2026 or 2027."

Or even by the end of this presidential administration, for that matter.

I can imagine it happening within my lifetime – which is wild and scary and marvelous. But in 1.5 years?!

The confusing thing is, I am very familiar with the kinds of arguments that "short timelines" people make, and I still find the Anthropic's timelines hard to fathom.

Above, I mentioned that Anthropic has shorter timelines than Daniel Kokotajlo, who "merely" expects the same sort of thing in 2029 or so. This probably seems like hairsplitting – from the perspective of your average person not in these circles, both of these predictions look basically identical, "absurdly good godlike sci-fi AI coming absurdly soon." What difference does an extra year or two make, right?

But it's salient to me, because I've been reading Kokotajlo for years now, and I feel like I basically get understand his case. And people, including me, tend to push back on him in the "no, that's too soon" direction. I've read many many blog posts and discussions over the years about this sort of thing, I feel like I should have a handle on what the short-timelines case is.

But even if you accept all the arguments evinced over the years by Daniel "Short Timelines" Kokotajlo, even if you grant all the premises he assumes and some people don't – that still doesn't get you all the way to the Anthropic timeline!

To give a very brief, very inadequate summary, the standard "short timelines argument" right now is like:

Over the next few years we will see a "growth spurt" in the amount of computing power ("compute") used for the largest LLM training runs. This factor of production has been largely stagnant since GPT-4 in 2023, for various reasons, but new clusters are getting built and the metaphorical car will get moving again soon. (See here)

By convention, each "GPT number" uses ~100x as much training compute as the last one. GPT-3 used ~100x as much as GPT-2, and GPT-4 used ~100x as much as GPT-3 (i.e. ~10,000x as much as GPT-2).

We are just now starting to see "~10x GPT-4 compute" models (like Grok 3 and GPT-4.5). In the next few years we will get to "~100x GPT-4 compute" models, and by 2030 will will reach ~10,000x GPT-4 compute.

If you think intuitively about "how much GPT-4 improved upon GPT-3 (100x less) or GPT-2 (10,000x less)," you can maybe convince yourself that these near-future models will be super-smart in ways that are difficult to precisely state/imagine from our vantage point. (GPT-4 was way smarter than GPT-2; it's hard to know what "projecting that forward" would mean, concretely, but it sure does sound like something pretty special)

Meanwhile, all kinds of (arguably) complementary research is going on, like allowing models to "think" for longer amounts of time, giving them GUI interfaces, etc.

All that being said, there's still a big intuitive gap between "ChatGPT, but it's much smarter under the hood" and anything like "powerful AI." But...

...the LLMs are getting good enough that they can write pretty good code, and they're getting better over time. And depending on how you interpret the evidence, you may be able to convince yourself that they're also swiftly getting better at other tasks involved in AI development, like "research engineering." So maybe you don't need to get all the way yourself, you just need to build an AI that's a good enough AI developer that it improves your AIs faster than you can, and then those AIs are even better developers, etc. etc. (People in this social cluster are really keen on the importance of exponential growth, which is generally a good trait to have but IMO it shades into "we need to kick off exponential growth and it'll somehow do the rest because it's all-powerful" in this case.)

And like, I have various disagreements with this picture.

For one thing, the "10x" models we're getting now don't seem especially impressive – there has been a lot of debate over this of course, but reportedly these models were disappointing to their own developers, who expected scaling to work wonders (using the kind of intuitive reasoning mentioned above) and got less than they hoped for.

And (in light of that) I think it's double-counting to talk about the wonders of scaling and then talk about reasoning, computer GUI use, etc. as complementary accelerating factors – those things are just table stakes at this point, the models are already maxing out the tasks you had defined previously, you've gotta give them something new to do or else they'll just sit there wasting GPUs when a smaller model would have sufficed.

And I think we're already at a point where nuances of UX and "character writing" and so forth are more of a limiting factor than intelligence. It's not a lack of "intelligence" that gives us superficially dazzling but vapid "eyeball kick" prose, or voice assistants that are deeply uncomfortable to actually talk to, or (I claim) "AI agents" that get stuck in loops and confuse themselves, or any of that.

We are still stuck in the "Helpful, Harmless, Honest Assistant" chatbot paradigm – no one has seriously broke with it since that Anthropic introduced it in a paper in 2021 – and now that paradigm is showing its limits. ("Reasoning" was strapped onto this paradigm in a simple and fairly awkward way, the new "reasoning" models are still chatbots like this, no one is actually doing anything else.) And instead of "okay, let's invent something better," the plan seems to be "let's just scale up these assistant chatbots and try to get them to self-improve, and they'll figure it out." I won't try to explain why in this post (IYI I kind of tried to here) but I really doubt these helpful/harmless guys can bootstrap their way into winning all the Nobel Prizes.

----

All that stuff I just said – that's where I differ from the usual "short timelines" people, from Kokotajlo and co.

But OK, let's say that for the sake of argument, I'm wrong and they're right. It still seems like a pretty tough squeeze to get to "powerful AI" on time, doesn't it?

In the OSTP submission, Anthropic presents their latest release as evidence of their authority to speak on the topic:

In February 2025, we released Claude 3.7 Sonnet, which is by many performance benchmarks the most powerful and capable commercially-available AI system in the world.

I've used Claude 3.7 Sonnet quite a bit. It is indeed really good, by the standards of these sorts of things!

But it is, of course, very very far from "powerful AI." So like, what is the fine-grained timeline even supposed to look like? When do the many, many milestones get crossed? If they're going to have "powerful AI" in early 2027, where exactly are they in mid-2026? At end-of-year 2025?

If I assume that absolutely everything goes splendidly well with no unexpected obstacles – and remember, we are talking about automating all human intellectual labor and all tasks done by humans on computers, but sure, whatever – then maybe we get the really impressive next-gen models later this year or early next year... and maybe they're suddenly good at all the stuff that has been tough for LLMs thus far (the "10x" models already released show little sign of this but sure, whatever)... and then we finally get into the self-improvement loop in earnest, and then... what?

They figure out to squeeze even more performance out of the GPUs? They think of really smart experiments to run on the cluster? Where are they going to get all the missing information about how to do every single job on earth, the tacit knowledge, the stuff that's not in any web scrape anywhere but locked up in human minds and inaccessible private data stores? Is an experiment designed by a helpful-chatbot AI going to finally crack the problem of giving chatbots the taste to "write extremely good novels," when that taste is precisely what "helpful-chatbot AIs" lack?

I guess the boring answer is that this is all just hype – tech CEO acts like tech CEO, news at 11. (But I don't feel like that can be the full story here, somehow.)

And the scary answer is that there's some secret Anthropic private info that makes this all more plausible. (But I doubt that too – cf. Brundage's claim that there are no more secrets like that now, the short-timelines cards are all on the table.)

It just does not make sense to me. And (as you can probably tell) I find it very frustrating that these guys are out there talking about how human thought will basically be obsolete in a few years, and pontificating about how to find new sources of meaning in life and stuff, without actually laying out an argument that their vision – which would be the common concern of all of us, if it were indeed on the horizon – is actually likely to occur on the timescale they propose.

It would be less frustrating if I were being asked to simply take it on faith, or explicitly on the basis of corporate secret knowledge. But no, the claim is not that, it's something more like "now, now, I know this must sound far-fetched to the layman, but if you really understand 'scaling laws' and 'exponential growth,' and you appreciate the way that pretraining will be scaled up soon, then it's simply obvious that –"

No! Fuck that! I've read the papers you're talking about, I know all the arguments you're handwaving-in-the-direction-of! It still doesn't add up!

[tomorrowusa]

The MAGA-DOGE régime decided that the middle of hepatitis outbreak was a great time to close the CDC's Division of Viral Hepatitis.

After people started testing positive for hepatitis C in a coastal Florida town in December, state officials collected blood from patients, wrapped their specimens in dry ice and mailed them straight to the Centers for Disease Control in Atlanta, Ga. The hepatitis C virus, which is spread through contact with infected blood and can lead to deadly liver cancer, is notoriously hard to identify. But if anyone could understand what was happening in Florida, it would be the Division of Viral Hepatitis in the CDC's headquarters. Using samples from the laboratory's collection of nearly 1 million frozen specimens, scientists helped make the initial discovery of the hepatitis C virus in the 1980s. In 2020, that research was awarded the Nobel Prize in Medicine.

Unlike Trump, the scientists at the lab knew what they were doing.

The scientists at the lab knew what they were doing. Quickly, they analyzed the blood from Florida using their custom software and found that nine cases were genetically linked to the same pain clinic, where it was later discovered that a doctor was improperly reusing injection vials. By March, officials in Florida had restricted the doctor's medical license to limit the spread of the virus and packaged new patient samples to send to the CDC for testing, CDC employees told NPR. But on April 1, the outbreak investigation was brought to a halt. All 27 of the lab's scientists received an email from the U.S. Department of Health and Human Services informing them that they were losing their jobs. Like thousands of other employees who received similar emails that day, the scientists were told they would be placed on administrative leave until June 2, after which they would no longer work for the CDC. The email said their duties were "identified as either unnecessary or virtually identical to duties being performed elsewhere in the agency." But the kind of genetic tracing that the CDC's lab performs is not conducted by any other lab in the United States or the world, experts interviewed by NPR said. While the lab remains shuttered, ongoing investigations of current hepatitis outbreaks have been stalled, not just in Florida, but also in Oregon, Pennsylvania, Massachusetts, New Mexico, Wisconsin, West Virginia and Georgia, according to CDC employees who work closely with the Division of Viral Hepatitis. The five CDC employees NPR spoke with requested that their names not be shared for fear of retaliation.

For all anybody knows, the scientists may have been fired by Apartheid Elon's teen buddy Big Balls.

The Trump administration is making people sick and keeping them sick. And this is just the start.

[fun-bot-and-mr-fun-computer]

8:54P.M - 5/30/2025 - Laboratory - Sprunki Town

[ D o w n l o a d C o m p l e t e . . . ]

"Did the software install?"

"I believe so..."

-----

Ooc - Blog run by @sillylogiclover 🟡 - Fun Bot 🔴 - Mr. Fun Computer

"As much as we'd like to meet all the people here, we're here for 1 reason."

"We've learned most of the Sprunkis' are on here!"

"And due to the current situation, we've decided joining here would be a better approach to keep aware of Gray's location. Or at least an idea."

"We're staying in the lab for the most part, trying to keep track of Gray, and the other Sprunkis' condition!"

"We're trying to get it under control, but it any of the residences reading this, stay safe. To anyone else, any and all information could be helpful."

[red-dyed-sarumane]

Hiiragi Magnetite First Full Album "Kyusekai Legacy" (Old World's Legacy) and 1st One Man Live "Kyuusekai Legacy LIVE" Announcement

Hiiragi Magnetite first full album "Kyusekai Legacy" is set for release Wednesday June 25th, 2025!

Full blog post translation under cut

With hits such as "Marshall Maximizer" (47 million views on Youtube) and Tetoris (57 million views on Youtube) that capture vocaloid fans not just in Japan but all over the world, vocaloid producer Hiiragi Magnetite is set to release their first full album "Kyusekai Legacy."

As for this album, starting with their first post song from September 2020 when they debuted with "Aru Sekai Shoushitsu" up until "Kugutsu Ashura" series of songs will encompass the first half before "Kannagi", after which the latter half will be popular songs like "Marshall Maximizer" and "Kanon", as well as including 3 new songs written for the album.

This CD album of 13 songs will be released on June 25th via TRIPOD Records' official BOOTH store. (At the same time, it's set for streaming release across various platforms)

In addition, the four songs "Marshall Maximizer," "Kugutsu Ashura," "Kanon," and "Laboratory" have been made into new versions for this album.

The album artwork is done by Sena Yuta, who's done multiple illustrations for Hiiragi Magnetite's MVs, as well as graphic design by BALCOLONY. with IPs in various entertainment fields such as manga, anime, and games.

Product Outline: Artist: Hiiragi Magnetite Title: Kyusekai Legacy (Old World's Legacy) Release Date: June 25th, 2025 Release Form: CD Cost: ￥3,500 (Tax Included) Product Number: TRLB-0003 Label: TRIPOD Records

Track List 1. Aru Sekai Shoushitsu (A Certain World's Disappearance) 2. Kyuuyaku Hankagai (Testament) 3. Shuuen Touhikou (Blade) 4. Oumen Mokushiroku (Apocalypse) 5. Fuuin Tougenkyou (Seal of Shangri-la) (New Song) 6. Kugutsu Ashura (Puppet Ashura) (Re-arrangement) 7. Kannagi (Diviner) 8. Unplanned Apoptosis 9. Endless Escape (New Song) 10. Marshall Maximizer (Re-arrangement) 11. Kanon (Re-arrangement) 12. Kanon (Re-arrangement) 13. "?" (New Song, Title Undetermined) *Included songs, titles, and line-up may be subject to change.

Illustration：Sena Yuta Design: BALCOLONY.

℗©Hiiragi Magnetite / ©2025 TRIBALCON. Inc.

Hiiragi Magnetite's Profile Started vocaloid producer activities with "Aru Sekai Shoushitsu" in September 2020. Beyond working with vocal synthesizer software, they've made songs for various artists as well. They also perform as a DJ, appearing in many events in Japan such as NicoNico ChouKaigi's ChouVocaNico and NIGHT HIKE. Notable works include "Tetoris," "Marshall Maximizer," and "Shuuen Touhikou (Blade)."

X：https://twitter.com/hiiragi_magne YouTube：https://www.youtube.com/c/hiiragimagne niconico：https://www.nicovideo.jp/user/99293918/mylist/69456475

In celebration of Hiiragi Magnetite's first album "Kyusekai Legacy" release, their first one man live will also be held!

Live Information: Title: Kyusekai Legacy LIVE Date: July 6th, 2025 (Sunday) Open 5pm/ 6pm start Location: UNIT (Daikanyama) https://www.unit-tokyo.com/ Performance: Hiiragi Magnetite Artwork: Sena Yuta (Illustration), BALCOLONY. (Graphic Design) Price: Presale Ticket ￥5,500 *The drink charge will be a separate ￥600 fee at the entrance Zaiko Url: https://tribalcon.zaiko.io/item/371455 Organizer: Hiiragi Magnetite/TRIBALCON. Planning, Creation, Management: TRIBALCON.

Precautions: - Those under 20 can enter. -Those under middle school age can enter with a guardian, -The 600 yen drink charge at the entrance is a cash payment. -To ensure smooth entry, please prepare the ticket screen and drink charge in advance. -You will be asked to present your ID when purchasing alcohol. -In accordance with the law, those under 20 are prohibited from drinking or smoking. -Those under 20 cannot purchase alcohol. -Anyone found to be purchasing alcohol or tabaco for those under age will be reported to the police and escorted out. -Tickets are limited to one per person. -The event will not allow reentry if you leave. -Be aware in advance refunds will not be granted for reason other than the event being canceled.

[spacetimewithstuartgary]

The Vera C. Rubin Observatory will detect millions of exploding stars

Measuring distances across the universe is much more challenging than measuring distances on Earth. Is a brighter star closer to Earth than another, or is it just emitting more light? To make confident distance measurements, scientists rely on objects that emit a known amount of light, like Type Ia supernovae.

These spectacular explosions, among the brightest to ever be recorded in the night sky, result from the violent deaths of white dwarf stars and provide scientists with a reliable cosmic yardstick. Their brightness and color, combined with information about their host galaxies, allow scientists to calculate their distance and how much the universe expanded while their light made its journey to us. With enough Type Ia supernovae observations, scientists can measure the universe's expansion rate and whether it changes over time.

Although we've caught thousands of Type Ia supernovae to date, seeing them once or twice is not enough—there is a goldmine of information in how their fleeting light varies over time. NSF–DOE Vera C. Rubin Observatory will soon begin scanning the southern hemisphere sky every night for ten years, covering the entire hemisphere approximately every few nights. Every time Rubin detects an object changing brightness or position it will send an alert to the science community. With such rapid detection, Rubin will be our most powerful tool yet for spotting Type Ia supernovae before they fade away.

Rubin Observatory is a joint program of NSF NOIRLab and DOE's SLAC National Accelerator Laboratory, which will cooperatively operate Rubin.

Scientists like Anais Möller, a member of the Rubin/LSST Dark Energy Science Collaboration, look forward to Rubin's decade-long Legacy Survey of Space and Time (LSST), during which it's expected to detect millions of Type Ia supernovae.

"The large volume of data from Rubin will give us a sample of all kinds of Type Ia supernovae at a range of distances and in many different types of galaxies," says Möller.

In fact, Rubin will discover many more Type Ia supernovae in the first few months of the LSST than were used in the initial discovery of dark energy—the mysterious force causing the universe to expand faster than expected based on gravitational theory. Current measurements hint that dark energy might change over time, which—if confirmed—could help refine our understanding of the universe's age and evolution. That in turn would impact what we understand about how the universe formed, including how quickly stars and galaxies formed in the early universe.

With a much larger set of Type Ia supernovae from across the universe scientists will be able to refine our existing map of space and time, getting a fuller picture of dark energy's influence.

"The universe expanding is like a rubber band being stretched. If dark energy is not constant, that would be like stretching the rubber band by different amounts at different points," says Möller. "I think in the next decade we will be able to constrain whether dark energy is constant or evolving with cosmic time. Rubin will allow us to do that with Type Ia supernovae."

Every night Rubin Observatory will produce about 20 terabytes of data and generate up to 10 million alerts—no other telescope in history has produced a firehose of data quite like this. It has required scientists to rethink the way they manage rapid alerts and to develop methods and systems to handle the large incoming datasets.

Rubin's deluge of nightly alerts will be managed and made available to scientists through seven community software systems that will ingest and process these alerts before serving them up to scientists around the world. Möller, together with a large collaboration of scientists across expertises, is developing one of these systems, called Fink.

The software systems collect the alerts from Rubin each night, merge Rubin data with other datasets, and using machine-learning, classify them according to their type, such as kilonovae, variable stars, or Type Ia supernovae, among others. Scientists using one of Rubin's community systems, like Fink, will be able to sort the massive dataset of alerts according to selected filters, allowing them to quickly home in on the data that are useful for their research.

"Because of the large volumes of data, we can't do science the same way we did before," says Möller. "Rubin is a generational shift. And our responsibility is developing the methods that will be used by the next generation."

[campus-vibes]

🌟 Life at Sabaragamuwa University of Sri Lanka: A Journey Beyond Academics

🔗 Official Website: https://www.sab.ac.lk/

Nestled in the beautiful hill country of Belihuloya, the Sabaragamuwa University of Sri Lanka (SUSL) is not just an institution for higher education—it’s a complete ecosystem for knowledge, innovation, and personal growth. With a unique blend of nature, academic excellence, cultural diversity, and student engagement, SUSL has established itself as one of the most vibrant universities in Sri Lanka.

Let’s explore what makes this university a truly holistic learning experience.

🎓 Academic Excellence Through Diverse Faculties

SUSL houses several faculties, each tailored to deliver industry-relevant, research-based, and skill-oriented education. Here’s a deeper look:

🧑‍🌾 Faculty of Agricultural Sciences

Preparing students for climate-resilient and technology-driven agriculture, this faculty integrates practical fieldwork, lab-based research, and modern agritech practices.

Specialized areas: Agribusiness Management, Plantation Management, and Crop Science.

Facilities include a university farm, greenhouses, and plant tissue labs.

💼 Faculty of Management Studies

This faculty is a hub of innovation, leadership, and entrepreneurship.

Offers degrees in Marketing, Accounting, Business Management, and Tourism.

Strong industry links, internship programs, and a business incubation center help bridge theory and practice.

🖥️ Faculty of Computing

A newly established and rapidly growing faculty, offering degrees in cutting-edge areas like:

Software Engineering

Computer Science

Data Science

Information Systems Students benefit from modern computing labs, coding competitions, and project-based learning in collaboration with the tech industry.

⚙️ Faculty of Applied Sciences

Focused on STEM (Science, Technology, Engineering, Mathematics) education and research.

Departments include Physical Sciences, Environmental Sciences, and Biological Sciences.

Advanced laboratory facilities and field studies enhance hands-on learning.

🧪 Faculty of Geomatics

Unique to SUSL, this faculty specializes in geospatial technologies and earth sciences.

Offers degrees in Surveying Sciences and GIS (Geographic Information Systems).

Prepares students for careers in surveying, urban planning, disaster management, and remote sensing.

🌍 Faculty of Social Sciences & Languages

Equipping students to address social, cultural, economic, and political challenges through:

Degrees in Sociology, Political Science, and Languages (English, Sinhala, Tamil).

Cultural awareness programs, language labs, and public speaking forums.

🛠️ Faculty of Technology

Focusing on future-ready technology disciplines, including:

Biosystems Technology

Engineering Technology

Construction Technology

Mechatronics This faculty emphasizes problem-solving, research, and design thinking in all its programs.

🌱 A Campus That Breathes Sustainability

SUSL is set amidst lush greenery, forests, and a reservoir, promoting a deep respect for the environment.

Sustainable practices include rainwater harvesting, waste management, and plastic-free zones.

Nature trails, eco-clubs, and conservation projects give students opportunities to learn from nature while preserving it.

🧑‍🎓 Student Life: Balance Between Study and Fun

✨ Daily Life

Classes in the morning

Study groups under trees or by the lake

Canteen meals with friends

Sports and clubs in the evening

Quiet study or hostel activities at night

🌐 Cultural Diversity

With students from all over the island, SUSL celebrates:

Sinhala & Tamil New Year festivals

Multilingual debates

Intercultural nights and exhibitions This diversity builds respect, unity, and lifelong friendships.

🏆 Extra-Curricular Excellence

SUSL students shine beyond the classroom. The university supports:

Sports

Cricket, rugby, badminton, athletics, martial arts, and more

Regular inter-faculty competitions and national-level representation

Clubs & Societies

Gavel Club – for public speaking

IEEE & IT Clubs – for coding and tech

Environmental Society – for sustainability

Music, Dance, Drama Societies – for cultural expression

Rotaract & Leo Clubs – for leadership and volunteering

🏛️ Facilities & Campus Life

🏠 Hostels with a peaceful and secure environment

📚 A fully-equipped library with digital and physical resources

🧪 Modern laboratories and research centers

🍛 Affordable and clean canteens

🚌 Campus shuttle and scenic walking paths

🧑‍⚕️ Health Center with medical and counseling services

📶 Wi-Fi zones and tech support

🔮 Looking Ahead

Sabaragamuwa University is committed to global expansion and academic innovation:

Partnerships with international universities

Smart classrooms and e-learning systems

Plans for new faculties and programs

Research funding and student entrepreneurship support

💬 Final Words

Sabaragamuwa University of Sri Lanka is more than a place to earn a degree—it's a place to grow, lead, and inspire. From nature lovers to tech enthusiasts, from business leaders to language experts, SUSL has something for everyone.

✅ Visit the official website to explore more: https://www.sab.ac.lk/

— Written by Rashmi Tharaka Sewwandi

[jbfly46]

My younger brother claims to do OSINT for the Navy and have the highest military clearance possible. When I suspected he was lying to me about my father’s estate lawsuit, I decided to first test his capabilities. I mentioned a bunch of classified information I knew about that has been getting released recently, and his reaction was that of one in a state of shock or disbelief. He went completely mute on that subject. Next I tested his OSINT capabilities. As I know that the Navy has him using software for OSINT, I performed a full OSINT investigation on my old shady landlord, finding his family that lives in Switzerland and Europe, finding his ties to a land trust that has changed hands 3 times between different people with his last name, and different people with what looked like a name an Ashkenazi Jew would make up. Then I tied him as having a personal relationship with a lawyer who changed his name after getting out of prison in Washington State for a violent rape conviction. A lawyer that Multnomah County Court uses to perform court duties, even though he is a private lawyer with his own private office. I accomplished all of this in less than 2 hours without any OSINT software. My brother responding with a state of childish anger, and proceeded to encourage my mother to report me to DHS for posting a threat to mail anthrax to Oak Ridge National Laboratory or something of that nature. Only there was no such post on Reddit, and the DHS she reported this to was actually the Tennessee Department of Safety pretending to be DHS by leaving out the part where they were only affiliated with the state of Tennessee when introducing themselves. All this resulted in was two really dumb sloppy looking behavioral health PPB officers knocking on my door and listening to me give them a 30 minute lecture on psychology that they clearly could not follow even after claiming to have an education in psychology. My brother makes enough money from the military to have already have bought his own house, all while clearly not being able to perform his actual job, while I live in a 400 sq. ft. apartment with my partner; barely able to afford food and bills. Safe to say, that despite already owning his own home, he was also lying about my father’s estate lawsuit, I can only assume in an attempt to somehow gain hold of my portion of our father’s estate, I guess because he thinks me posting something about anthrax on Reddit (a post that didn’t exist), would be relevant to a county level estate case, and sufficient for me to be deemed not eligible to receive my allotted half of the estate. I feel like the entirety of these actions reaches beyond stupidity, and into the territory of malevolent insanity. Obviously, the government does not want competent and sane people working for them, for whatever reason. It has now been almost 3 years since the estate case was opened up and I have yet to hear anything more about it.

[curiouslycaffeinatedcephalopod]

entry 03

do not be afraid to use technology if using paper based methods of note taking, planning and scheduling and journaling.

when i first started my research project i was afraid of using only applications and software such as Notion, drives for storage, Microsoft Word AI grammar assistance etc. I was afraid because i was told (and anxious about it myself) that i could lose my data and information if i didn't have a backup on paper.

this resulted in me not quite meeting my weekly deadlines with tasks and goals because i was spending time "backing up" all my data, planning, schedules, meeting notes, everything.

Whilst i definitely agree with others that you should have a back up, a lot of these applications and software are so well developed and have really well functioning servers, there is such a minimal chance of just losing everything. it would be more logical to make back ups on other storage platforms/drives than keeping everything in paper AS WELL. this is so time consuming and sends you in a panic every time you need to upload data, write notes, prepare documents, edit documents, review data and leaves you with notes you made hastily (and anxiously) which often times never even helped me as the notes were illegible because i was in such a rush.

of course, a paper based method for laboratory notes is a good idea as devices are not recommended in the labs if you're working with biological matter/chemical substances - pencil down your notes and then you can go home if you have the time and the need to write it onto a notion page or type up a document so that you can review the protocol and how you performed during and the outcomes, any changes you may need to make etc.

you can use notion for your research scheduling and planning and just keep a very simple bullet journal/notebook for day to day notations and planning. i had been told to make sure i have a paper based record of everything i wrote on my notion but i think you can keep an abbreviated version and rather keep a copy pasted document of this and/or screenshots and store that across multiple drives (or one if you're not an anxious academic like me, haha).

if anyone tells you how you should do something so intricately personal to each student/researcher because they do not like the interface you use (yes, i was told i should not use the one thing that has worked for me because it was too difficult for the other party to understand or review), it is obviously nice and kind to try and provide things a format they understand, but do not stop doing the thing you enjoy and that actually helps you reach your goals.

context for number 3:

i found notion through various content creators in the research realm, with mixed recommendations ranging from yes it works well to no not for me. i struggle with planning and procrastinating and academic challenges so i decided to give it a go. honestly, the fact that it was aesthetically customisable was a big plus. that is just simply something that makes me want to work. the next thing was its cross compatibility with other apps and software i used, primarily google. it helped me keep track of upcoming meetings, events and urgent tasks and provided a way for me to visually see my progress. but someone i was wokring with, whose opinion mattered very much to me, had mentioned that they were not a fan and that they did not have the time to use the interface, even though the interface was not our primary mode of communication regarding my research project, it was simply a way for them to see how i was spending my time or planning to as a student of theirs. needless to say, i gave up because their way took way too much time already. it is not a problem or a topic that requires someone to blame, i just was in the midst of an already overwhelming time in my project and had to just do what i needed to survive (lol).

anyways, the lesson i learnt was, after falling a couple months behind because of poor planning and compatibility with how i was going about my most important component of my research was that you really need to prioritise the thing that works for you. whether that is paper based or digital.

but you cannot spend every moment fearing that notion will drop off the face of the earth with all your notes and plans along with it. i wasted so much time stressing and creating paper and digital back ups of EVERYTHING. i have now had to spend essentially a month organising things across multiple emails and drives just to get a start on my next big project. the most important lesson will definitely be that you need to train and teach yourself to know what are things that require a back...

you do not need 17 backups, paper and digital of plans passed and plans to come, you will quickly be reminded or be able to recall most such things as they will stress you out and haunt you so much anyways.

however you certainly do need a sufficient back up of data that belongs to the university as part of your project, or any personal methods of tracking such things.

anyways, sorry for the long rambles i post, i am using tumblr as a way to have a blog until i can actually get a website and publish better and more concise posts. i hope you still enjoy reading or at least find some solace or advice in between it all!

[nunuslab24]

Understanding The World of Quantum Computers

Imagine a computer so powerful that it could solve problems in seconds that would take our current machines millions of years. No, it's not science fiction—it's the exciting world of quantum computing, where bits become qubits and the impossible becomes possible. Let's dive into this technological marvel that might one day be as common as your smartphone!

A quantum computer is a supercomputer that exploits quantum mechanical phenomena or in other words, a quantum computer uses tiny particles to perform complex calculations. Unlike regular computers, quantum computers use qubits instead of bits!

A qubit means that it is either neither 0 or 1, think of it as a wave; it can go up and down at any given moment! This ability to be in multiple states simultaneously is known as superposition. At the same time, a bit in a classical computer is like a simple switch that can be either off (0) or on (1), a qubit can be both off and on simultaneously, providing an incredible amount of computational power. But how do they really work?

How Quantum Computers Actually Work

Superposition: As mentioned, qubits can exist in multiple states at once. This allows quantum computers to process a vast amount of information simultaneously.

Entanglement: This is a phenomenon where qubits become intertwined, so the state of one qubit can depend on another, no matter how far apart they are. This can massively increase computational power.

Quantum Gates: Similarto logic gates (a device that acts as a building block for digital circuits) in classical computers, quantum gates manipulate qubits. but because of superposition and entanglement, quantum gates can perform complex operations much faster than classical gates (smartphones, tablets, etc).

What Do Quantum Computers Look Like?

Unlike the sleek laptops and smartphones we use today, quantum computers look very different. They are usually large (5ft wide & 20ft long), complex machines housed in specialized laboratories. A typical quantum computer setup includes:

Cryogenic Systems: Quantum computers need extremely low temperatures to function, often close to absolute zero (kelvin or -273.15 degrees Celsius or -460 degrees Fahrenheit). This requires sophisticated cooling systems.

Quantum Processor: The heart of a quantum computer, where qubits are manipulated.

Control Systems: These are used to manage and operate the quantum processor, often involving complex electronics and software.

In other words, quantum computers are not something you can slip into your pocket or place on your desk. They currently require a highly controlled environment and are far from being household items.

Why Does This Matter?

The potential of quantum computers is amazing. Here are a few areas where they could make a significant impact:

Cryptography: Quantum computers could break current encryption methods, making our data vulnerable. However, they could also create unbreakable encryption.

Drug (Health) Discovery: They can simulate molecular structures much more efficiently than classical computers, speeding up the process of drug discovery and development.

Optimization: Quantum computers can solve complex optimization problems that are currently unsolvable, impacting industries from logistics to finance.

Pros and Cons of Quantum Computers:

Pros:

Speed: Quantum computers can solve problems in seconds that would take classical computers millions of years.

Power: Their ability to handle complex calculations could revolutionize fields like cryptography, material science, and artificial intelligence (AI).

Innovation: They could lead to new discoveries and advancements in technology that we can’t even imagine yet.

Cons:

Complexity: Quantum computers are incredibly complex and difficult to build and maintain.

Cost: The technology is expensive and currently out of reach for most organizations.

Security Risks: The potential to break current encryption methods poses a significant security threat.

Will We Ever Have Quantum Computers in Our Homes?

Given their current state, quantum computers are unlikely to become household items anytime soon. The technology is still in its infancy, and the machines are expensive and complex. However, as research progresses and technology advances, it’s possible that we could see more accessible forms of quantum computing in the future.

For now, the most practical application for everyday users will likely come through cloud-based quantum computing services provided by tech companies. This means you could potentially access the power of a quantum computer over the internet, without having to own one.

Quantum computers represent a leap forward in computing technology, with the potential to transform numerous fields and solve problems that are currently intractable. However, they also come with significant challenges and risks. As this technology develops, it will be crucial to balance its immense potential with the necessary safeguards to ensure it benefits humanity as a whole.

[ylespar]

"In lucid dreams (LDs), people maintain consciousness and can make predetermined actions while asleep. Since the 1970s, electrooculography and other sensors have been used to send signals from LDs into reality. In this study, we test whether electromyography (EMG) can help transfer melodies from LDs, which can expand our abilities to transfer information from LDs into reality. Software was developed to translate EMG impulses into sounds. Four LD practitioners were trained to play musical rhythms by straining their arm muscles, which had EMG sensors on them. Then, these volunteers were asked to induce LDs and repeat the task under polysomnographic observation in a laboratory. Each volunteer induced from one to three confirmed LDs. Three of them were able to transfer musical rhythms into reality, as the EMG sensors detected electrical spikes in the arm muscles despite sleep paralysis. The researchers heard the sounds from the dreams in real time and in recordings. The results prove the concept that people can transfer rhythmical EMG impulses from LD, which could be potentially useful for transferring sounds or music from LD into reality. As one practitioner failed to transfer proper EMG signals, the method needs further investigation. Since LD practitioners sometimes create original music in LDs, it could be possible to transfer these insights into reality. These melodies can be broadcasted via the Internet, TV, or radio in real time."

Raduga, M., Shashkov, A., Gordienko, N., Vanin, A., & Maltsev, E. (2023). Real-time transferring of music from lucid dreams into reality by electromyography sensors. Dreaming. Advance online publication. https://doi.org/10.1037/drm0000244