There are no validated claims-based algorithms for identifying children with disabilities (CWD) to facilitate larger-scale studies of care quality for CWD.

This study develops the CWD algorithm, a claims-based algorithm for identifying diagnostic codes with a ≥75% chance of indicating CWD, and triangulates the algorithm against parent report and physician chart abstraction. (Read the full article)

Deep-learning algorithms suffer from a fundamental problem: They can adopt unwanted biases from the data on which they're trained. In healthcare, this can lead to bad diagnoses and care recommendations.

According to the book Electronic Design Automation For Integrated Circuits Handbook there are mutiple algorithms available. Quote from book: "One of the first complete ATPG algorithms is the D-algorithm [9]. Subsequently, other algorithms were proposed, including PODEM [14], FAN [15], and SOCRATES [10]."

I was wondering which algorithms are used in Cadence Modus.

Botan is a C++ library of cryptographic algorithms, including AES, DES, SHA-1, RSA, DSA, Diffie-Hellman, and many others. It also supports X.509 certificates and CRLs, and PKCS #10 certificate requests, and has a high level filter/pipe message processing system. The library is easily portable to most systems and compilers, and includes a substantial tutorial and API reference. This is the current stable release.

Botan is a C++ library of cryptographic algorithms, including AES, DES, SHA-1, RSA, DSA, Diffie-Hellman, and many others. It also supports X.509 certificates and CRLs, and PKCS #10 certificate requests, and has a high level filter/pipe message processing system. The library is easily portable to most systems and compilers, and includes a substantial tutorial and API reference. This is the current stable release.

Botan is a C++ library of cryptographic algorithms, including AES, DES, SHA-1, RSA, DSA, Diffie-Hellman, and many others. It also supports X.509 certificates and CRLs, and PKCS #10 certificate requests, and has a high level filter/pipe message processing system. The library is easily portable to most systems and compilers, and includes a substantial tutorial and API reference. This is the current stable release.

Botan is a C++ library of cryptographic algorithms, including AES, DES, SHA-1, RSA, DSA, Diffie-Hellman, and many others. It also supports X.509 certificates and CRLs, and PKCS #10 certificate requests, and has a high level filter/pipe message processing system. The library is easily portable to most systems and compilers, and includes a substantial tutorial and API reference. This is the current stable release.

Botan is a C++ library of cryptographic algorithms, including AES, DES, SHA-1, RSA, DSA, Diffie-Hellman, and many others. It also supports X.509 certificates and CRLs, and PKCS #10 certificate requests, and has a high level filter/pipe message processing system. The library is easily portable to most systems and compilers, and includes a substantial tutorial and API reference. This is the current stable release.

Proof of concept denial of service exploit for the recent OpenSSL signature_algorithms_cert vulnerability.

Script that performs RSA factorization attack using Fermat's algorithm.

Google has put the algorithm it used to achieve quantum supremacy to work. It generated verifiably random numbers, which could be used one day in encryption or lotteries

Age-at-onset is one of the critical traits in cohort studies of age-related diseases. Large-scale genome-wide association studies (GWAS) of age-at-onset traits can provide more insights into genetic effects on disease progression and transitions between stages. Moreover, proportional hazards (or Cox) regression models can achieve higher statistical power in a cohort study than a case-control trait using logistic regression. Although mixed-effects models are widely used in GWAS to correct for sample dependence, application of Cox mixed-effects models (CMEMs) to large-scale GWAS is so far hindered by intractable computational cost. In this work, we propose COXMEG, an efficient R package for conducting GWAS of age-at-onset traits using CMEMs. COXMEG introduces fast estimation algorithms for general sparse relatedness matrices including, but not limited to, block-diagonal pedigree-based matrices. COXMEG also introduces a fast and powerful score test for dense relatedness matrices, accounting for both population stratification and family structure. In addition, COXMEG generalizes existing algorithms to support positive semidefinite relatedness matrices, which are common in twin and family studies. Our simulation studies suggest that COXMEG, depending on the structure of the relatedness matrix, is orders of magnitude computationally more efficient than coxme and coxph with frailty for GWAS. We found that using sparse approximation of relatedness matrices yielded highly comparable results in controlling false-positive rate and retaining statistical power for an ethnically homogeneous family-based sample. By applying COXMEG to a study of Alzheimer’s disease (AD) with a Late-Onset Alzheimer’s Disease Family Study from the National Institute on Aging sample comprising 3456 non-Hispanic whites and 287 African Americans, we identified the APOE 4 variant with strong statistical power (P = 1e–101), far more significant than that reported in a previous study using a transformed variable and a marginal Cox model. Furthermore, we identified novel SNP rs36051450 (P = 2e–9) near GRAMD1B, the minor allele of which significantly reduced the hazards of AD in both genders. These results demonstrated that COXMEG greatly facilitates the application of CMEMs in GWAS of age-at-onset traits.

PURPOSE

We aimed to evaluate the efficacy and safety of use of the Fasting Algorithm for Singaporeans with Type 2 Diabetes (FAST) during Ramadan.

Venous thromboembolism (VTE), as a term that encompasses pulmonary embolism (PE) and deep vein thrombosis (DVT), is one of the leading causes of maternal morbidity and mortality [1], especially in developed countries, where PE takes second place after complications of hypertensive disorders [2]. When compared to non-pregnant women of similar age, pregnant women have an approximately four to five times higher risk of VTE [3], with an incidence of 1 in 1000 pregnancies [4]. Approximately 20–25% of VTE cases are caused by PE and 75–80% of cases are caused by DVT [5]. About 60% of DVT occurs antepartum, with the highest risk of antepartum pregnancy-associated VTE being in the third trimester.However, about 60% of PE occurs postpartum [3].

There's a scramble to adapt to a world where people routinely cover their faces.

Major social media companies are having to adjust to a difficult reality: Due to social distancing requirements, much of their human workforce that moderates content has been sent home.  The timing is challenging, as platforms are fighting to contain an epidemic of misinformation, with user traffic hitting all-time records. To make up for the absence…

Technology companies increasingly hide the world’s most powerful algorithms and business models behind the shield of trade secret protection. The legitimacy of these protections needs to be revisited when they obscure companies’ impact on the public interest or the rule of law. In 2016 and 2018, the United States and the European Union each adopted…

Major social media companies are having to adjust to a difficult reality: Due to social distancing requirements, much of their human workforce that moderates content has been sent home.  The timing is challenging, as platforms are fighting to contain an epidemic of misinformation, with user traffic hitting all-time records. To make up for the absence…

Technology companies increasingly hide the world’s most powerful algorithms and business models behind the shield of trade secret protection. The legitimacy of these protections needs to be revisited when they obscure companies’ impact on the public interest or the rule of law. In 2016 and 2018, the United States and the European Union each adopted…

In 1968 Congress passed and President Lyndon B. Johnson then signed into law the Fair Housing Act (FHA), which prohibits housing-related discrimination on the basis of race, color, religion, sex, disability, familial status, and national origin. Administrative rulemaking and court cases in the decades since the FHA’s enactment have helped shape a framework that, for…

Technology companies increasingly hide the world’s most powerful algorithms and business models behind the shield of trade secret protection. The legitimacy of these protections needs to be revisited when they obscure companies’ impact on the public interest or the rule of law. In 2016 and 2018, the United States and the European Union each adopted…

In 1968 Congress passed and President Lyndon B. Johnson then signed into law the Fair Housing Act (FHA), which prohibits housing-related discrimination on the basis of race, color, religion, sex, disability, familial status, and national origin. Administrative rulemaking and court cases in the decades since the FHA’s enactment have helped shape a framework that, for…

In 1968 Congress passed and President Lyndon B. Johnson then signed into law the Fair Housing Act (FHA), which prohibits housing-related discrimination on the basis of race, color, religion, sex, disability, familial status, and national origin. Administrative rulemaking and court cases in the decades since the FHA’s enactment have helped shape a framework that, for…

In the futuristic 2002 film “Minority Report,” law enforcement uses a predictive technology that includes artificial intelligence (AI) for risk assessments to arrest possible murderers before they commit crimes. However, a police officer is now one of the accused future murderers and is on the run from the Department of Justice to prove that the…

There are significant potential benefits to using data-driven risk assessments in criminal sentencing. For example, risk assessments have rightly been endorsed as a mechanism to enable courts to reduce or waive prison sentences for offenders who are very unlikely to reoffend. Multiple states have recently enacted laws requiring the use of risk assessment instruments. And…

In 1968 Congress passed and President Lyndon B. Johnson then signed into law the Fair Housing Act (FHA), which prohibits housing-related discrimination on the basis of race, color, religion, sex, disability, familial status, and national origin. Administrative rulemaking and court cases in the decades since the FHA’s enactment have helped shape a framework that, for…

Emerging out of a park in Seoul, South Korea, this dynamic piece of urban furniture offers a place to sit, walk and play.