Cybersecurity policies are often built on the ideals of uniformity, predictability, and control — understandable qualities in an industry where structure defends against chaos. But this rigid design can unintentionally alienate some of the most innovative thinkers in the field....
1) T'achètes <nomDeFamille>.eu pour faire profiter à toi et tes enfants d'une adresse <prenom>@<nomDeFamille>.eu un peu classouille.
2) Tes enfants grandissent, mais ils s'en taperont, de ta boite mail.
Pourquoi ? Parce qu'ils ne voudront pas être fliqués par leur père au niveau des e-mails et cie.
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3) Ils auront raison. Même si dans les faits tu ne les fliquera pas, ils auront totalement raison.
Guidelines for managing scientific data have been established under the FAIR principles requiring that data be Findable, Accessible, Interoperable, and Reusable. In many scientific disciplines, especially computational biology, both data and models are key to progress. For this reason, and recognizing that such models are a very special type of 'data', we argue that computational models, especially mechanistic models prevalent in medicine, physiology and systems biology, deserve a complementary set of guidelines. We propose the CURE principles, emphasizing that models should be Credible, Understandable, Reproducible, and Extensible. We delve into each principle, discussing verification, validation, and uncertainty quantification for model credibility; the clarity of model descriptions and annotations for understandability; adherence to standards and open science practices for reproducibility; and the use of open standards and modular code for extensibility and reuse. We outline recommended and baseline requirements for each aspect of CURE, aiming to enhance the impact and trustworthiness of computational models, particularly in biomedical applications where credibility is paramount. Our perspective underscores the need for a more disciplined approach to modeling, aligning with emerging trends such as Digital Twins and emphasizing the importance of data and modeling standards for interoperability and reuse. Finally, we emphasize that given the non-trivial effort required to implement the guidelines, the community moves to automate as many of the guidelines as possible.
Teknologi itu sangat membantu memang. Tapi jangan biarkan kita malah jadi ketergantungan seperti ilustrasi di atas sampai jadi mati nalar 🙏 gak jalan itu critical thinking-nya, masak jawaban dari CGPT dikopas 100% plek ketiplek ((( SINCE I AM AN AI ASSISTANT ))) 🤣🤣🤣 peak comedy indeed #punintended 🤪😋
Kalau gue sih memperlakukan CGPT itu sebagai sarana utk memvalidasi argumen yg telah dibangun sebelumnya, bener gak sihh susunan kata2nya, sounds makes sense kah bila terbaca gituuu #understandable
#IF (and #IT's another #VeryBIG #IF) you're in #TwoMinds about #BadLoserDen and his #DeadInstance; that's #OK, #IT's #Understandable...
#AskHim #WHY I left #Syzito to set-up #PSiReN.eu and also #AskHim #WHY it took over 17-hours for him to pull #CovidMisinformation "published/platformed" by his #SoleSponsors (provided vicariously by a #Notorious #RightWingNutJob)...
Or... #DontBother; #IT's what happens when you have #ZeroIntegrity and #ZeroCredibility...
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🎠🦹🦄🦹🎠
Dear Friends of the Unhappy,
I have just uploaded a five minute podcast, on dealing with #overwhelming #sadness. If someone is #depressed about #misfortune, that is #understandable. Hopefully they will overcome and pass into a happier situation …
https://audio.com/lobster/audio/sadness
The speaker discusses the topic of #melancholy, depression, and #sadness and whether meditation can help. They mention that while meditation can be #beneficial, it may not be enough on its own. #Chanting and #physical #activities like #yoga and #exercise are suggested as #alternative #techniques to address sadness and unhappiness. The speaker emphasizes the importance of #finding what #works best for each #individual and #suggests starting with #preliminary #exercises before diving into #meditation.
@GuyDudeman @mattblaze @ligniform
This is clearly #labelled and #understandable. It does not mean it is the #correct, user-friendly #solution to the #problem.