#Quality System Development

[methodsense]

AI Consulting Service for Medical Devices

Artificial intelligence software algorithms to learn from the real-world use of the medical device to improve its performance. We offer specialized healthcare AI consulting services that help companies achieve their goals. To more details, reach our website.

[negativespace06]

as metal breaks and bends

[velaraffricate]

so I've been working on my latest conlang, irkan osla (or just osla for short), for a bit now and would like to showcase its writing system in this post! osla has a syllabic alphabet, not too dissimilar to korean hangul, where letters are stacked according to certain rules to make syllable blocks.

osla's syllable structure is (C)(C)V(V)(C), here's how the stacks work for each type of syllable:

all letters have small, wide, and tall forms depending on their position in the syllable. here are all the letters with their IPA value and romanization:

and here's an example text! i translated parts of the minecraft end poem into osla. maybe i'll make another post just focusing on the grammar when it's more developed. the poem says in english:

What did this player dream? This player dreamed of sunlight and trees. Of fire and water. It dreamed it created. And it dreamed it destroyed. It dreamed it hunted, and was hunted. It dreamed of shelter.

Does it know that we love it? That the universe is kind? Sometimes, through the noise of its thoughts, it hears the universe, yes.

this post is getting long, so under the cut you'll find a "sans-serif" version as well as the poem in osla and its gloss if you're also a linguistics nerd and wanna know what's going on under the hood (the roman numerals stand for the 3 noun classes)! thanks for reading!

The way regular people would write something quickly on a piece of paper with a regular pen is an aspect of creating neographies that I feel is often overlooked, so I developed this sans-serif version that people would probably be more likely to use when writing their shopping lists or diary entries:

And, finally, here's the poem translation:

pak oṇḍul phan wimbakis?

DET.I.SG.PROX play-AGN what dream-PST.3SG.I?

pak oṇḍul lümaṇiuṣerothi han buloni an wimbakis. kaṣkhaothi han nilothi an. wimbakis, run sëmamkis. wimbakis, run xokthakis, han bumxokthakis. zöga an wimbakis.

DET.I.SG.PROX play-AGN sunlight-II.SG.DAT and tree-II.PL.DAT of dream-PST.3SG.I. Fire-II.SG.DAT and water-II.SG.DAT of. dream-PST.3SG.I, that create-PST.3SG.I. dream-PST.3SG.I, that hunt-PST.3SG.I, and PASS-hunt-PST.3SG.I. shelter of dream-PST.3SG.I.

ṭauraka, run kaak samare? run glutsüna flia?

know-NP.3SG.I, that 3SG.I.ABS love-NP.1PL? that universe kind?

imba ethamo, khaṣiŋli an ka’am hu’aŋni pitë, glutsüna ṣaraka, ti.

some time-NOM.III.PL, noise-ACC.II.SG of 3SG.I.GEN thought-NOM.III.PL through, universe hear-NP.3SG.I, yes.

[4th-make-quail]

remember that interview i had that i really wanted to get the job for? WELL i'm going in for a THIRD INTERVIEW tomorrow with the fucking MD ahahaha!!! they have 2 roles now, the new one for quality systems engineer which needs lead auditor which i don't have (i have internal auditor), and my agency are repping another candidate for it, so they're trying to push it as being the pair of us working together well cos i have the textiles background and he doesn't

SO LET'S SEE HOW IT GOES I GUESS!!!! annoyingly it's at 1pm which means i'll be travelling during lunchtime which i hate but at least this time i won't have to do a 2hr factory tour sdgkhlf'g

[takamoris]

Stealing this image from twitter and bringing it over here, because holy shit, some of the clowns I have been seeing talk about the game lately.

[prussianmemes]

what's incredible about these maps is how hard western euros will cope at the idea that their enlightened and superior society could ever be worse than *flips through notebook* those uncivilized lesser slavic poles and ukrainians. russians and croats also are lying too.

what's funny is that this yearly EU study is conducted in such a way that literally accounts for bias in reporting and cultural stigma, yet still they will cope and are unable to consider that based social democrat scandinavian finns beat their wives more than poles

(don't look at spousal murder rates in scandinavia ha ha)

[cheapcheapfaker]

On one hand i would like to have a large baby. my family and gilgamesh’s come from a long line of beefy, nine pound plus chunkers. I was 9 and something lbs with a full head of hair and almost a week late. I want that baby fully cooked and maybe a little overdone. tons of studies not just anecdotal show that they just seem sort of… nicer and easier to deal with, like the biggest of the litter. they sleep more. they dont struggle in general as much and they gain weight easily and they also move a little slower. not saying they dont hit milestones but a fat ass baby will stay in its potted plant lump stage a little while longer before jumping into the running around sticking fingers in outlets stage.

on the other hand, i am so so concerned for the sanctity of my gooch. a nine pound baby will tear my grundle asunder. my taint to shreds.

[bitnestloop]

BitNest

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Savings Service: Users can deposit funds into BitNest's savings system through smart contracts to obtain stable returns. We are committed to providing users with a safe and efficient savings solution to help you achieve your financial goals. Lending Platform: BitNest lending platform provides users with convenient borrowing services, users can use cryptocurrencies as collateral to obtain loans for stablecoins or other digital assets. Our lending system is safe and reliable, providing users with flexible financial support. Payment Solution: BitNest payment platform supports users to make secure and fast payment transactions worldwide. We are committed to creating a borderless payment network that allows users to make cross-border payments and remittances anytime, anywhere. Investment Opportunities: BitNest provides diversified investment opportunities that allow users to participate in trading and investing in various digital assets and gain lucrative returns. Our investment platform is safe and transparent, providing users with high-quality investment channels. Through continuous innovation and efforts, BitNest has become a leader in digital finance and is widely recognised and trusted globally. We will continue to be committed to promoting the development of digital finance, providing users with more secure and efficient financial services, and jointly creating a better future for digital finance.

[lancecharleson]

Playing Bioshock 1 again for the first time in a long while, it made me realise just how much of 7th generation gaming we take for granted.

Among all the piss-filtered dark-age talk of how so many AAA games around this time eventually became homogenously Gears of War/COD-like in order to capitalise on their success, we tend to memory hole how this generation started off with a bang with titles like this, Prey (2006), Kameo: Elements of Power, and Little Big Planet.

It was also the last time we would ever see this many original single player games with AAA backing debut in a generation, until the 2010s where said industry would start going all in on the live-service multiplayer model.

While the indie/mid-budget gaming scene has picked up the torch of continuing to bring us fantastic SP games that have themselves become legends in their own right, there's something I find truly magical about playing a SP game that, not only has a solid premise and design philosophy going on, but also has the kind of high production values that AAA can afford them.

[emorphistechno]

Healthcare Analytics Software Development enables accurate and timely data analysis for better clinical decision-making, saving lives & costs.

According to a recent survey, the healthcare sector produces immense quantities of data via electronic medical records (EMR), electronic health records (EHR), and health information exchange (HIE). Nonetheless, the difficulty arises in competently examining and leveraging this data to enhance decision-making and proficiently manage it. Healthcare analytics software development services provide an answer to these predicaments.

Healthcare analytics can also be integrated with telemedicine app development and can help various features in this type of heathcare app development 

[luxrayz64]

I saw a post a while back responding to criticism of botw as being "a good game but not a good zelda game", and they responded with how the Zelda Formula was getting tired and stale and botw was a response to that, that it was meant to harken back to the original zelda game where it just drops you in and it makes you find everything on yr own. which like is fine and good and all but. you do know that the original zelda had 8 full unique (as unique as they could be on the nes) dungeons right. the original zelda game had dungeon items. they didn't need to take out one of zeldas defining gameplay aspects and replace it with the fundamentally inferior shrines and divine beasts. you can make a game non linear and refresh its gameplay without taking out one of the series' strongest aspects.

[turtlesandfrogs]

What I was taught growing up: Wild edible plants and animals were just so naturally abundant that the indigenous people of my area, namely western Washington state, didn't have to develop agriculture and could just easily forage/hunt for all their needs.

The first pebble in what would become a landslide: Native peoples practiced intentional fire, which kept the trees from growing over the camas praire.

The next: PNW native peoples intentionally planted and cultivated forest gardens, and we can still see the increase in biodiversity where these gardens were today.

The next: We have an oak prairie savanna ecosystem that was intentionally maintained via intentional fire (which they were banned from doing for like, 100 years and we're just now starting to do again), and this ecosystem is disappearing as Douglas firs spread, invasive species take over, and land is turned into European-style agricultural systems.

The Land Slide: Actually, the native peoples had a complex agricultural and food processing system that allowed them to meet all their needs throughout the year, including storing food for the long, wet, dark winter. They collected a wide variety of plant foods (along with the salmon, deer, and other animals they hunted), from seaweeds to roots to berries, and they also managed these food systems via not only burning, but pruning, weeding, planting, digging/tilling, selectively harvesting root crops so that smaller ones were left behind to grow and the biggest were left to reseed, and careful harvesting at particular times for each species that both ensured their perennial (!) crops would continue thriving and that harvest occurred at the best time for the best quality food. American settlers were willfully ignorant of the complex agricultural system, because being thus allowed them to claim the land wasn't being used. Native peoples were actively managing the ecosystem to produce their food, in a sustainable manner that increased biodiversity, thus benefiting not only themselves but other species as well.

So that's cool. If you want to read more, I suggest "Ancient Pathways, Ancestral Knowledge: Ethnobotany and Ecological Wisdom of Indigenous Peoples of Northwestern North America" by Nancy J. Turner

[jcmarchi]

Beyond the Hype: Unveiling the Real Impact of Generative AI in Drug Discovery

New Post has been published on https://thedigitalinsider.com/beyond-the-hype-unveiling-the-real-impact-of-generative-ai-in-drug-discovery/

Beyond the Hype: Unveiling the Real Impact of Generative AI in Drug Discovery

Since Insilico Medicine developed a drug for idiopathic pulmonary fibrosis (IPF) using generative AI, there’s been a growing excitement about how this technology could change drug discovery. Traditional methods are slow and expensive, so the idea that AI could speed things up has caught the attention of the pharmaceutical industry. Startups are emerging, looking to make processes like predicting molecular structures and simulating biological systems more efficient. McKinsey Global Institute estimates that generative AI could add $60 billion to $110 billion annually to the sector. But while there’s a lot of enthusiasm, significant challenges remain. From technical limitations to data quality and ethical concerns, it’s clear that the journey ahead is still full of obstacles. This article takes a closer look at the balance between the excitement and the reality of generative AI in drug discovery.

The Hype Surrounding Generative AI in Drug Discovery

Generative AI has captivated the imagination of the pharmaceutical industry with its potential to drastically accelerate the traditionally slow and expensive drug discovery process. These AI platforms can simulate thousands of molecular combinations, predict their efficacy, and even anticipate adverse effects long before clinical trials begin. Some industry experts predict that drugs that once took a decade to develop will be created in a matter of years, or even months with the help of generative AI.

Startups and established companies are capitalizing on the potential of generative AI for drug discovery. Partnerships between pharmaceutical giants and AI startups have fueled dealmaking, with companies like Exscientia, Insilico Medicine, and BenevolentAI securing multi-million-dollar collaborations. The allure of AI-driven drug discovery lies in its promise of creating novel therapies faster and cheaper, providing a solution to one of the industry’s biggest challenges: the high cost and long timelines of bringing new drugs to market.

Early Successes

Generative AI is not just a hypothetical tool; it has already demonstrated its ability to deliver results. In 2020, Exscientia developed a drug candidate for obsessive-compulsive disorder, which entered clinical trials less than 12 months after the program started — a timeline far shorter than the industry standard. Insilico Medicine has made headlines for discovering novel compounds for fibrosis using AI-generated models, further showcasing the practical potential of AI in drug discovery.

Beyond developing individual drugs, AI is being employed to address other bottlenecks in the pharmaceutical pipeline. For instance, companies are using generative AI to optimize drug formulations and design, predict patient responses to specific treatments, and discover biomarkers for diseases that were previously difficult to target. These early applications indicate that AI can certainly help solve long-standing challenges in drug discovery.

Is Generative AI Overhyped?

Amid the excitement, there is growing skepticism regarding how much of generative AI’s hype is grounded versus inflated expectations. While success stories grab headlines, many AI-based drug discovery projects have failed to translate their early promise into real-world clinical results. The pharmaceutical industry is notoriously slow-moving, and translating computational predictions into effective, market-ready drugs remains a daunting task.

Critics point out that the complexity of biological systems far exceeds what current AI models can fully comprehend. Drug discovery involves understanding an array of intricate molecular interactions, biological pathways, and patient-specific factors. While generative AI is excellent at data-driven prediction, it struggles to navigate the uncertainties and nuances that arise in human biology. In some cases, the drugs AI helps discover may not pass regulatory scrutiny, or they may fail in the later stages of clinical trials — something we’ve seen before with traditional drug development methods.

Another challenge is the data itself. AI algorithms depend on massive datasets for training, and while the pharmaceutical industry has plenty of data, it’s often noisy, incomplete, or biased. Generative AI systems require high-quality, diverse data to make accurate predictions, and this need has exposed a gap in the industry’s data infrastructure. Moreover, when AI systems rely too heavily on historical data, they run the risk of reinforcing existing biases rather than innovating with truly novel solutions.

Why the Breakthrough Isn’t Easy

While generative AI shows promise, the process of transforming an AI-generated idea into a viable therapeutic solution is a challenging task. AI can predict potential drug candidates but validating those candidates through preclinical and clinical trials is where the real challenge begins.

One major hurdle is the ‘black box’ nature of AI algorithms. In traditional drug discovery, researchers can trace each step of the development process and understand why a particular drug is likely to be effective. In contrast, generative AI models often produce outcomes without offering insights into how they arrived at those predictions. This opacity creates trust issues, as regulators, healthcare professionals, and even scientists find it difficult to fully rely on AI-generated solutions without understanding the underlying mechanisms.

Moreover, the infrastructure required to integrate AI into drug discovery is still developing. AI companies are working with pharmaceutical giants, but their collaboration often reveals mismatched expectations. Pharma companies, known for their cautious, heavily regulated approach, are often reluctant to adopt AI tools at a pace that startup AI companies expect. For generative AI to reach its full potential, both parties need to align on data-sharing agreements, regulatory frameworks, and operational workflows.

The Real Impact of Generative AI

Generative AI has undeniably introduced a paradigm shift in the pharmaceutical industry, but its real impact lies in complementing, not replacing, traditional methods. AI can generate insights, predict potential outcomes, and optimize processes, but human expertise and clinical testing are still crucial for developing new drugs.

For now, generative AI’s most immediate value comes from optimizing the research process. It excels in narrowing down the vast pool of molecular candidates, allowing researchers to focus their attention on the most promising compounds. By saving time and resources during the early stages of discovery, AI enables pharmaceutical companies to pursue novel avenues that may have otherwise been deemed too costly or risky.

In the long term, the true potential of AI in drug discovery will likely depend on advancements in explainable AI, data infrastructure, and industry-wide collaboration. If AI models can become more transparent, making their decision-making processes clearer to regulators and researchers, it could lead to a broader adoption of AI across the pharmaceutical industry. Additionally, as data quality improves and companies develop more robust data-sharing practices, AI systems will become better equipped to make groundbreaking discoveries.

The Bottom Line

Generative AI has captured the imagination of scientists, investors, and pharmaceutical executives, and for good reason. It has the potential to transform how drugs are discovered, reducing both time and cost while delivering innovative therapies to patients. While the technology has demonstrated its value in the early phases of drug discovery, it is not yet prepared to transform the entire process.

The true impact of generative AI in drug discovery will unfold over the coming years as the technology evolves. However, this progress depends on overcoming challenges related to data quality, model transparency, and collaboration within the pharmaceutical ecosystem. Generative AI is undoubtedly a powerful tool, but its true value depends on how it’s applied. Although the current hype may be exaggerated, its potential is genuine — and we are only at the beginning of discovering what it can accomplish.

[poojagblog-blog]

The global Air Quality Control Systems Market in terms of revenue was estimated to be worth $107.4 billion in 2024 and is poised to reach $150.7 billion by 2029, growing at a CAGR of 7.0% from 2024 to 2029 according to a new report by MarketsandMarkets™. The demand for air quality control systems is on the rise due to various factors. Expansion in industries like manufacturing, automotive, and construction contributes to increased adoption of air pollution control measures. Additionally, population growth leads to higher levels of air pollution from increased vehicle emissions, construction activities, and energy consumption, thereby driving the need for air pollution control systems. Financial uncertainties are also a driving factor, as companies seek protection against potential losses arising from unforeseen events.

[novanhistorian]

Every day I must act normal despite knowing how the contrast between Memphis’s and Sana’s views of authority all traces back to how they see the same quasi-omniscient system exploited and by whom.

[apicalindustrialsolution]

Control System Integration Services in Bangladesh: Enhancing Efficiency and Innovation

Control System Integration Services in Bangladesh: Enhancing Efficiency and Innovation

In recent years, Bangladesh has become a significant player in technological advancements and industrial growth. At the heart of this transformation lies the critical role of **control system integration services**. These services are essential for modernizing and optimizing industrial processes across various sectors. This blog delves into the importance of control system integration in Bangladesh, highlighting key players, emerging trends, and the benefits they bring to industries.

Understanding Control System Integration

**Control system integration** involves designing and implementing systems that manage and automate industrial processes. These systems ensure different components of production work together seamlessly, enhancing overall efficiency, reliability, and performance. 

The Rising Demand in Bangladesh

Bangladesh’s industrial landscape is evolving rapidly, leading to increased demand for advanced control systems. Several factors drive this need:

1. Industrial Expansion: Bangladesh’s manufacturing sector, including textiles, pharmaceuticals, and food processing, is growing. These industries require sophisticated control systems to enhance quality, reduce downtime, and increase productivity.

2. Infrastructure Development: Investments in infrastructure projects like power plants, water treatment facilities, and smart grids create a need for effective **control system integration** to manage these complex systems.

3. Automation Trends: The global shift towards automation and digitalization is influencing Bangladeshi industries. Companies are increasingly adopting **automation technologies**, making control system integration crucial for staying competitive.

Leading Control System Integration Providers in Bangladesh

Several companies in Bangladesh specialize in **control system integration services**, offering a range of solutions:

-System Design and Implementation: Tailoring control systems to specific industry requirements, whether for new facilities or upgrades.

- Integration with Existing Systems: Ensuring new control systems work smoothly with current equipment and processes.

- Maintenance and Support: Providing ongoing maintenance and support to ensure optimal performance and address any issues.

- **Consultancy Services: Offering expert advice on best practices, system selection, and optimization strategies.

Benefits of Control System Integration

1.Increased Efficiency:Integrated control systems streamline operations, reduce manual intervention, and minimize errors, leading to higher productivity and cost savings.

2.Enhanced Quality: Automation and real-time monitoring ensure consistent product quality and compliance with industry standards.

3.Improved Safety: Advanced control systems help identify and manage potential hazards, contributing to a safer working environment.

4.Real-Time Monitoring and Control: Operators can monitor and control processes in real-time, facilitating quicker decision-making and problem resolution.

5.Scalability: Integrated systems can be easily scaled or modified as businesses grow, offering long-term flexibility and value.

Challenges and Opportunities

While the advantages are substantial, there are challenges, such as the need for skilled professionals, the cost of advanced technologies, and integrating new systems with existing infrastructure. These challenges, however, also present opportunities for innovation and growth. By investing in training and adopting cutting-edge technologies, Bangladeshi companies can lead in industry advancements.

The Future of Control System Integration in Bangladesh

The future for **control system integration** in Bangladesh looks bright. With ongoing industrial growth, technological advancements, and a supportive business environment, the sector is set for further expansion. Companies that adopt advanced control systems will not only enhance their operational efficiency but also contribute to Bangladesh’s economic development.

In conclusion, **control system integration services** are pivotal in modernizing Bangladesh’s industrial sector. By boosting efficiency, safety, and quality, these services drive innovation and establish Bangladesh as a leader in industrial automation. Embracing these advancements will be key to sustaining growth and achieving long-term success in the country’s evolving industrial landscape.

Feel free to adjust this blog according to your specific focus or target audience!