I modded the ATSV Spider-Punk design into Spider-Man Remastered!

I'm going to rant.

As an artist, you learn to properly tag your things, because you can get in trouble so easy.

My art was taken down (after MONTHS of being up) for policy violation. There was a third illustration, but I can't find it in my cell.

After writing a complaint, the above is the response, and I tried to include what the search for nudity & sexual pulls up. Tumblr yelled at me.

Trust me, my art is tame in comparison.

It's frustrating as fuck, I'm honestly pissed and last I checked I was within rules.

Guess this work is staying elsewhere and they (others on that site) can keep doing their porn.

@impala-dreamer @kittenofdoomage @mariekoukie6661

Unlocking the Power of Privacy: Exploring the World of Private AI

Sanjay Mohindroo Sanjay Mohindroo. https://www.stayingalive.in/cataloguing-strategic-innov/unlocking-the-power-of.html Private AI refers to the intersection of artificial intelligence (AI) and privacy-preserving techniques. It involves developing AI systems and algorithms that can operate on sensitive data while respecting the privacy and confidentiality of that data. With the growing concerns…

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I made this announcement on Twitter, but realized I should also post something here.

I am taking a sabbatical from writing fanfic. Idk when I'll be back. I have something scheduled to post for SMPC on October 22nd, and after that I have no plans to write anything in the near future. I'm taking the time to work on an original novel.

I'm not taking down my fics or anything like that, so you can still read everything I've written over on Ao3! I'll still be active on Twitter (@/CLeighWritesSPN) so I'm not leaving the fandom totally! Feel free to follow me over there and/or yell at me in the comments on Ao3.

Looking forward to new things,

Candice

J2 but I dun curr. The heart wants what it wants. Old SMPC offering that I still love.

Jared and Jensen Make A Porno (Chad will never be the same again)

read it on the AO3 at https://ift.tt/RwAhpBe

by WhiskyBoys

In Chad’s defense, he didn’t go looking for the sex tape. It was just like… right there. Maybe he wasn’t supposed to snoop around the J’s bedroom but they were the idiots who gave Chad a key to their house. What did they think he was going to do?

Words: 2535, Chapters: 1/1, Language: English

Fandoms: Supernatural (TV 2005) RPF

Rating: Explicit

Warnings: No Archive Warnings Apply

Categories: M/M

Characters: Jensen Ackles, Jared Padalecki, Chad Michael Murray

Relationships: Jensen Ackles/Jared Padalecki

Additional Tags: smpc, PWP, Voyeurism, Sex Toys, Chad being Chad, Dirty Talk

read it on the AO3 at https://ift.tt/RwAhpBe

Job title: Post Doctoral Fellow in Computer Science Company: Khalifa University Job description: Job Purpose We seek a Postdoctoral researcher in machine learning and blockchain technology to join our 3 years funded project, "Optimized Secure Machine Learning in Decentralized Networks: Integrating Homomorphic Encryption, SMPC, and Differential Privacy." The position requires a strong computer science background with good programming and communication skills. Experience in machine learning and blockchain technology is needed. In particular, the candidate will be required to: To provide high quality research support and undertake internationally competitive research aimed at publication, thereby contributing to the academic and research mission of the University. Since the Postdoctoral, experience is transitional to becoming an independent researcher or faculty member, the Postdoctoral tries to acquire the varied skills necessary to advance their career with guidance from the advisor. These skills include but are not limited to the ability to present research plans and findings in a convincing style, both in oral and written modes of communication, the ability to understand research group management and supervision of others, the ability to establish contacts and network with colleagues pursuing a similar research agenda, the ability to organize and teach a class or a course if more inclined towards a teaching career. Key Roles & Responsibilities Strategic Responsibilities Assisting PI and Co-PI's in writing funding proposals. Operational Responsibilities The Postdoc will be assigned the standard postdoc responsibilities which will include (as necessary) involvement in research center activities, conference/workshop organization, arranging for meetings, searching libraries and databases to identify books, articles, or other publications; compiling, organizing, summarizing, and/or presenting requested information; and conducting any other explorations, investigations, and studies relevant to furthering the research project. The RE will be engaged in software development for the project purposes. Supervisory Responsibilities The Postdoc will be asked, as necessary, to be involved in guiding and supervising PhD and MSc students, as well as supervision and coordination of the research engineers in the project. Qualifications Qualifications & Experience Required Qualifications PhD in Computer Science or Computer Engineering or Software Engineering or a related field. Required Experience Strong research and publication background Good programming skills Good communication skills and work ethics Evidence of publishing in recognized journals Some industrial experience is desired but not required Should you require further assistance or if you face any issue with the online application, please feel to contact the Recruitment Team ( ). Primary Location: Abu Dhabi UAE Job: Post Doctoral Fellow Schedule: Regular Shift: Standard Job Type: Full-time Expected salary: Location: Abu Dhabi Job date: Wed, 27 Dec 2023 23:30:18 GMT Apply for the job now!

MHRA Updates on Pseudoephedrine Safety Review

Understanding Pseudoephedrine Risks

The Medicines and Healthcare Products Regulatory Agency (MHRA) has recently concluded a thorough review of medicines containing pseudoephedrine, a common decongestant used to relieve symptoms of nasal and sinus congestion due to colds, flu, and allergies. This review sheds light on the very rare risks of two conditions: posterior reversible encephalopathy syndrome (PRES) and reversible cerebral vasoconstriction syndrome (RCVS), associated with these medications. Aimed at enhancing patient safety, the MHRA's findings are pivotal for millions of UK residents who rely on these treatments.   What Are PRES and RCVS? PRES and RCVS are neurological conditions that, although very rare, pose significant risks to individuals. PRES, also known as reversible posterior leukoencephalopathy syndrome (RPLS), involves swelling in parts of the brain, leading to symptoms such as headaches, vision changes, and seizures. RCVS is characterized by a sudden onset of severe headaches due to the narrowing of blood vessels in the brain, which can also result in stroke, seizures, or brain swelling. Fortunately, most patients recover fully from both conditions.  

MHRA's Recommendations

Following the review, the MHRA has recommended updates to the Summary of Product Characteristics (SmPC) and the Patient Information Leaflet (PIL) for all pseudoephedrine-containing medicines. This update aims to provide clearer descriptions of the risks of PRES and RCVS and potential risk factors. The agency stresses that pseudoephedrine should only be used for short-term relief of congestion symptoms and not by individuals with very high or uncontrolled blood pressure, or severe kidney disease.  

Safety First: Warning Signs to Watch For

Healthcare professionals advise patients to immediately stop taking pseudoephedrine and seek urgent medical attention if they experience symptoms such as a severe headache that develops quickly, sudden nausea or vomiting, confusion, seizures, or vision changes. These could be indicators of PRES or RCVS. Healthcare professionals and patients are reminded to report any suspected side effects through the MHRA's Yellow Card scheme, a vital tool for monitoring the safety of medicines.   A Perspective on Pseudoephedrine Usage Despite the rare occurrence of these side effects, the widespread use of pseudoephedrine in the UK is undeniable, with over 4 million packets sold in 2022 alone. The MHRA has received four Yellow Card reports of suspected PRES or RCVS linked to pseudoephedrine, highlighting the importance of this safety review in the context of its widespread use.   The Role of MHRA and Healthcare Providers The MHRA, as the UK's regulatory authority for medicines and medical devices, plays a critical role in ensuring that all healthcare products are effective and safe for public use. By issuing these updated guidelines, the MHRA not only aims to protect patients but also to inform healthcare providers about these very rare risks. This collaborative effort between the MHRA, healthcare professionals, and patients is essential for maintaining the safety and efficacy of treatments available in the UK.  

Staying Informed and Vigilant

The MHRA's safety review of pseudoephedrine-containing medicines serves as a reminder of the importance of staying informed about the medications we use. Moreover, by understanding the potential risks and knowing what symptoms to look out for, patients can play an active role in their healthcare. Additionally, the MHRA's commitment to patient safety, through reviews like this, ensures that medicines in the UK remain among the safest and most effective in the world.   Sources: THX News & Medicines and Healthcare products Regulatory Agency. Read the full article

Machine Learning and Privacy: Striking the Right Balance

Machine learning has rapidly transformed various aspects of our lives, from personalized recommendations on streaming platforms to autonomous vehicles. However, the increasing use of machine learning algorithms also raises important questions about privacy. Striking the right balance between the benefits of machine learning and the protection of individual privacy is a complex challenge that requires careful consideration. In this article, we will explore the key aspects of this delicate balance.

The Power of Machine Learning

Machine learning algorithms are incredibly powerful. They have the ability to process and analyze vast amounts of data, uncover patterns, and make predictions with high accuracy. This capability has led to significant advancements in fields like healthcare, finance, and marketing.

In healthcare, for instance, machine learning services can analyze medical records to predict disease outbreaks or assist in the early detection of medical conditions. In the realm of finance, it aids in detecting fraudulent activities and making predictions about the stock market. In marketing, it enables personalized advertisements and product recommendations.

The Privacy Concerns

While machine learning offers tremendous potential, it can also be invasive when it comes to privacy. Here are some common privacy concerns associated with machine learning:

Data Collection: Machine learning relies on large datasets for training. Collecting and storing this data can pose privacy risks, especially if it contains sensitive personal information.

Data Breaches: As more data is collected and stored, the risk of data breaches increases. These breaches can expose personal information to malicious actors.

Algorithmic Bias: Machine learning algorithms can inadvertently perpetuate bias present in training data, leading to unfair or discriminatory outcomes.

Surveillance: Machine learning-powered surveillance systems can infringe on individuals' privacy, raising questions about surveillance ethics.

Strategies to Strike the Balance

Balancing the benefits of machine learning with privacy concerns is essential. Here are some strategies and considerations:

Data Minimization: Collect only the data necessary for the specific task. Limiting data collection reduces the risk of exposure.

Anonymization and Encryption: Anonymize and encrypt sensitive data to protect individual identities and maintain confidentiality.

Transparency: Make machine learning processes more transparent. Explainability helps build trust and allows individuals to understand how decisions are made.

Consent and Control: Give individuals control over their data. Obtain informed consent for data collection and allow users to opt out.

Regular Audits: Conduct regular audits to identify and rectify algorithmic biases. Fairness should be a priority in machine learning models.

Regulations: Advocate for and comply with privacy regulations like GDPR and CCPA, which provide a legal framework for data protection.

Privacy-Preserving Machine Learning

Privacy-preserving machine learning techniques are emerging as a solution to these challenges. These techniques allow for the analysis of data while preserving the privacy of individuals. Some notable methods include:

Differential Privacy: This technique adds noise to the data, making it challenging to identify individual records while still enabling meaningful analysis.

Homomorphic Encryption: Homomorphic encryption allows data to be processed in an encrypted state, protecting it from exposure during computation.

Federated Learning: In federated learning, models are trained across multiple decentralized devices or servers without exchanging raw data, maintaining privacy.

Secure Multi-Party Computation (SMPC): SMPC enables parties to jointly compute a function over their inputs while keeping those inputs private.

The Role of Organizations and Governments

Both organizations and governments have a crucial role to play in striking the right balance between machine learning and privacy:

Corporate Responsibility: Organizations should prioritize privacy as a fundamental principle when implementing machine learning solutions. They must be transparent about their data practices and invest in privacy-focused technologies.

Government Oversight: Governments should establish and enforce clear regulations that protect individuals' privacy in the context of machine learning. These regulations should be adaptable to the evolving landscape of technology.

Conclusion

ML development company services holds immense potential to transform industries and improve our daily lives, but it also poses significant privacy challenges. Striking the right balance between harnessing the power of machine learning and safeguarding individual privacy is essential for responsible and ethical use of this technology. By adopting privacy-preserving techniques, implementing transparent practices, and respecting data regulations, we can navigate this delicate balance and ensure that the benefits of machine learning are realized without compromising our fundamental right to privacy. As technology continues to advance, it is our collective responsibility to uphold this equilibrium.

엔터프라이즈: 아제로

알레프 제로는 프라이버시를 강화하는 레이어1, 지분 증명 퍼블릭 블록체인입니다. 이 블록체인은 효율적이고 탈중앙화된 시스템을 구현하기 위해 방향성 비순환 그래프(DAG) 인프라를 사용하는 새로운 피어 리뷰 합의 프로토콜을 기반으로 합니다.

알레프 제로는 10만 TPS 이상의 높은 확장성, 빠르고 즉각적인 트랜잭션, 저렴한 비용(트랜잭션당 0.0003개의 AZERO 토큰만 필요) 등 기존 블록체인의 문제점과 단점에 대한 자체적인 솔루션을 제공합니다.

알레프 제로의 핵심 기능 중 하나는 공개 원장으로 운영하거나 공개 원장에 연결된 프라이빗 인스턴스로 운영할 수 있다는 것입니다. 예를 들어, 기업이나 개발자는 확장성, 속도, 보안, 비용과 같은 기술적 문제에 구애받지 않고 알레프 제로로 탈중앙화 프로젝트를 구축할 수 있습니다.

현재 알레프 제로는 사물인터넷(IOT), 퍼블릭 스마트 컨트랙트, ZKP 및 sMPC 프라이빗 멀티체인 스마트 컨트랙트, 공급망 관리, 범용 지갑 및 DEX, 탈중앙화 파일 스토리지(IPFS), 멀티체인 프라이버시 레이어 등 다양한 분야에서 사용할 수 있습니다.

아제로는 현재 업데이트된 가격은 1.39달러, 코인마켓캡 순위는 2671, MC는 2억 8,500만 달러, 최대 공급량은 미공개(알 수 없음), 현재 총 공급량은 308,452,235개인 알레프 제로의 토큰입니다.

Entreprise : AZERO

Aleph Zero est une blockchain publique à preuve d'enjeu, de niveau 1, qui améliore la confidentialité. Elle est basée sur un nouveau protocole de consensus évalué par les pairs qui utilise une infrastructure de graphe acyclique dirigé (DAG) pour permettre un système efficace et décentralisé.

Aleph Zero offre sa propre solution à certains des problèmes et lacunes des blockchains actuelles, comme une grande évolutivité avec 100K+ TPS, des transactions rapides et instantanées, et un faible coût (seulement 0,0003 jeton AZERO par transaction).

L'une des principales caractéristiques d'Aleph Zero est qu'il peut fonctionner comme un grand livre public ou comme une instance privée connectée à un grand livre public. Par exemple, les entreprises ou les développeurs peuvent construire des projets décentralisés avec Aleph Zero sans être limités par des questions techniques telles que l'évolutivité, la vitesse, la sécurité et le coût.

Actuellement, Aleph Zero peut être utilisé dans de nombreux domaines tels que : l'Internet des objets (IOT), les contrats intelligents publics, les contrats intelligents privés multi-chaînes ZKP et sMPC, la gestion de la chaîne d'approvisionnement, les portefeuilles universels et DEX, le stockage de fichiers décentralisés (IPFS), les couches de confidentialité multi-chaînes, et bien plus encore.

AZERO est le jeton d'Aleph Zero, qui a un prix actuel mis à jour de 1,39 $, un classement CoinMarketCap de 2671, un MC de 285 millions de dollars, une offre maximale non divulguée (inconnue) et une offre totale actuelle de 308 452 235.

Deferasirox 500 Mg Dispersible Tablet Iron Chelating Agents Deferasirox dispersible tablets should be taken without food according to the SmPC, therefore, one study under fasting conditions is sufficient.

Deferasirox Dispersible Tablets 500mg (Defrataj)

Altcoinbuzz analistleri yeni bir güncellemede portföyünün kar/zarar oranını açıkladı. Listede BTC, BNB, MATIC, GRT, STX ve AVAX üzere coin’ler yer alıyor. Geniş altcoin sepetinin Nisan ayı performansı şu şekilde…Altcoin Buzz analistleri bu coin’de %100 kar elde ettiKripto analistleri, 19 Nisan tarihli güncellemede, LUKSO (LYXe) isimli az bilinen bir coin’i portföye eklediğini duyurdu. LUKSO, piyasa bedeline nazaran 224.sırada yer alıyor. Nisan ayında yapılan yatırım kısa müddette 2x kar getirdi. Altcoinbuzz analistleri daha sonra yeni bir altcoin’e geçeceklerini duyurdu…https://twitter.com/Altcoinbuzzio/status/1648882808922976258 LUKSO (LYXe) yatırımının başlarda %30 eridiğini belirtelim. Altcoin daha sonra kısa müddette %100 bedel kazandı ve birinci amaca ulaştı. Altcoinbuzz analistlerine nazaran, “Aslında, şu anda 3x’deyiz. 4,84 dolardan aldık ve 100 dolar bedelinde yahut %10’u 16 dolardan sattık.”BTC, BNB, GRT, STX ve AVAX’lı sepetinin Nisan ayı performansıAşağıdaki tablo, analistlerin Nisan ayı ortalama satın alım fiyatı ve kar/zarar oranını gösteriyor. Buna nazaran, geçen 6 altcoin şu anda ziyan yazdırıyor.Kazananlar ortasında Bitcoin, bu ayı piyasası rallisine liderlik etmeye devam ediyor. En büyük yarar, %203 ile Lukso. Lukso dışında Bitcoin, The Graph, Polygon ve BNB, %13 ila %40 getiri sağladı. Detaylar aşağıdaki tabloda.Dikkat, yüksek kar beklenen yeni altcoin ekleniyorAnalistler Nisan ayında Lukso yatırımından %203 kar elde etti. Artık, gizlilik odaklı bir proje olan Aleph Zero’ya geçiyorlar. Aleph Zero (AZERO) şu anda 1,2 dolardan süreç görüyor. Analistlerin birinci gayesi 1,4 dolar. Şu anda yalnızca 100 dolar kıymetinde 70 adet AZERO satın aldılar.Bu ortada, Aleph Zero dün geliştiriciler için yeni bir güncelleme yayınladı. Detaylara tweet’ten göz atabilirsiniz.https://twitter.com/Aleph__Zero/status/1654255339422744577 Aleph Zero (AZERO) nedir?Aleph Zero, anında sonuçlanma özelliğine sahip, Proof-of-Stake tabanlı, saklılık arttırıcı bir halka açık Blockchain. Kurumsal kullanıma uygun yüksek performanslı ağı, ACM konferansında sunulan ve akranlar tarafından incelenen bir Yönlendirilmiş Asiklik Grafik (DAG) tabanlı konsensus protokolü üzerine inşa edilmiştir. Aleph Zero, DAG’ı orta data yapısı olarak kullanmasına karşın, hala bir Blockchain olarak sınıflandırılabilir.Aleph Zero, bugüne kadar devam eden geliştirme, Substrate ile entegrasyon ve grubun genişletilmesi için 15 milyon dolar topladı. Proje, kurucu grup tarafından 2018’in başlarında, aile ve arkadaşlar ortasında önsatış tipiyle başlatıldı. Başlangıç finansman tipi büyük ölçüde 2020 Aralık ayında tamamlandı. Halka açık ön satış, topluluk tipi ve halka arz tümü 2021’de tamamlandı.2023 yılında, Aleph Zero, inançlı çoklu taraf hesaplama araştırmasına (sMPC) ve sıfır bilgi ispatlarına (ZKP) dayanan zımnilik arttırıcı özellikler sağlamayı planlamaktadır. cointahmin.com olarak proje hakkında daha fazla detaya bu yazıda yer verdik.