GitHub

An experimental operating system fully written in Rust, with a unikernel design, cooperative scheduling and a security model based on WASM sandboxing.

Munal OS started as a toy project to practice systems programming, and over the years morphed into a full-blown OS and a playground to explore new ideas. It aims to re-examine principles of OS design, ...
lse

ME315: Machine Learning in Practice

We are not currently accepting applications for this course. Register your interest below to be notified when applications open again. From chatbots, personalised recommendations on social media, ...
The National Law Review

Increased Flexibility for Graphical User Interface Design Patent Applicants

We collaborate with the world's leading lawyers to deliver news tailored for you. Sign Up for any (or all) of our 25+ Newsletters. Some states have laws and ethical rules regarding solicitation and ...
Investopedia

Comprehensive Guide to Binomial Trees: Definitions and Examples

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
ahajournals.org

Endovascular Thrombectomy in Cancer‐Related Stroke: Comparison of Thrombectomy Methods

The optimal first‐line device choice for endovascular treatment (EVT) of cancer‐related stroke remains largely unknown. In this study, we evaluated the efficacy and safety of the EVT methods for ...
ascopubs.org

“Paying to Be a Patient in the Hospital and the Parking Lot”: Patient-Caregiver Dyad Perspectives on Health-Related Transportation Access in Multiple Myeloma

Real-World Impact of Low-Grade Toxicities to Adjuvant Pembrolizumab in Stage III Melanoma Using the National Institute on Minority Health and Health Disparities research framework, we conducted a ...
IEEE

A Gaussian Process-Regularized Graphical Learning Method for Distribution System State Estimation Using Extremely Scarce State Variable Labels

Abstract: Learning-based distribution system state estimation (DSSE) methods typically depend on sufficient fully labeled data to construct mapping functions. However, collecting historical labels ...
Frontiers

Editorial: Approximation methods and analytical modeling using partial differential equations

Adequate mathematical modeling is the key to success for many real-world projects in engineering, medicine, and other applied areas. Once a well-suited model is established, it can be thoroughly ...
IEEE

An Adaptive Noise-Resistant Learning Method for DSSE Considering Inaccurate Label Data

Abstract: The training process of learning-based distribution system state estimation (DSSE) methods relies on accurate state variables, which typically contain unknown noise and outliers in practice.
GitHub

BGGM: Bayesian Gaussian Graphical Models

What is a Gaussian Graphical Model ? A Gaussian graphical model captures conditional (in)dependencies among a set of variables. These are pairwise relations (partial correlations) controlling for the ...
BMJ

A blueprint for synthetic control methodology: a causal inference tool for evaluating natural experiments in population health

1 Department of Public Health, Policy and Systems, University of Liverpool, Liverpool, UK 2 Department of Geography and Planning, University of Liverpool, Liverpool, UK Correspondence to: I Buchan ...