emgteach is an open-source Python package that provides a unified PySide6 desktop application for real-time acquisition, offline analysis and maximum voluntary contraction (MVC) normalisation of surface electromyography (sEMG) signals. It is designed for hands-on biopotential acquisition in undergraduate physiology tea...
Ángel Agís-Torres, Vítor S. Fernandes, Jorge Navarro‐Dorado et al.· Zenodo (CERN European Organi...· 0 citations
Automated platforms that classify sequence variants under the American College of Medical Genetics and Genomics/Association for Molecular Pathology (ACMG/AMP) framework are increasingly used in rare-disease genomics, yet methodology for characterizing their performance at an early organizational stage is underdeveloped...
Vladimir Mitev· Frontiers in Genetics· 0 citations
<div class="section abstract"><div class="htmlview paragraph">The Electro-Mechanical Brake (EMB) system is a dry-type Brake-by-Wire technology that eliminates hydraulic components and directly controls friction braking using electrical actuators at each wheel. The EMB architecture consists of a Main Center Control Unit...
Dokun Kim· SAE technical paper series· 0 citations
UMOKWAI Supervision Meta-Router — Selective-loading system for the validation of LLM-generated technical draftsThis work introduces the Supervision Meta-Router, a modular selective-loading operational system designed to review the responses produced by the UMOKWAI Ontological Router. The Meta-Router rests on two non-ne...
Marco Falsetti· Zenodo (CERN European Organi...· 0 citations
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A locally hosted web application that integrates orthology inference with Gene Ontology enrichment for comparative proteome analysis. It retrieves reference and non-reference proteomes from UniProt, runs OrthoFinder to infer orthogroups, explores orthogroup composition across species through interactive UpSet plots, an...
Carlos Vivas-Rodríguez, David Matallanas, Colm J. Ryan et al.· Zenodo (CERN European Organi...· 0 citations
UMOKWAI Supervision Meta-Router — Selective-loading system for the validation of LLM-generated technical draftsThis work introduces the Supervision Meta-Router, a modular selective-loading operational system designed to review the responses produced by the UMOKWAI Ontological Router. The Meta-Router rests on two non-ne...
Marco Falsetti· Zenodo (CERN European Organi...· 0 citations
A reproducible audit package for evaluating environmental prediction-interval claims across deployment groups, split designs, finite-output behavior, and target-information budgets. Archive version 0.1.1 adds the Forest Ecosystems evidence extension v2. The software core remains version 0.1.0. The evidence bundle conta...
Liwei Deng, Lu Wang, Zhufang Kuang· Zenodo (CERN European Organi...· 0 citations
A locally hosted web application that integrates orthology inference with Gene Ontology enrichment for comparative proteome analysis. It retrieves reference and non-reference proteomes from UniProt, runs OrthoFinder to infer orthogroups, explores orthogroup composition across species through interactive UpSet plots, an...
Carlos Vivas-Rodríguez, David Gomez Matallanas, Colm J. Ryan et al.· Zenodo (CERN European Organi...· 0 citations
Crystal structure is one of the most abstract topics in secondary school chemistry. Textbookspresent three-dimensional lattices as flat diagrams, and physical models cannot be modified, sostudents often memorize conclusions such as "NaCl has a coordination number of 6" withoutunderstanding how structure determines prop...
Kerong He· Zenodo (CERN European Organi...· 0 citations
A class of AI system now entering professional workplaces maintains a persistent, individualised record of how a particular worker works, and adapts its outputs to that record. Existing and proposed Union instruments in this field — the GDPR’s automated-decision provisions, the Platform Work Directive, the AI Act’s hig...
Sean MacNiven· Zenodo (CERN European Organi...· 0 citations
A class of AI system now entering professional workplaces maintains a persistent, individualised record of how a particular worker works, and adapts its outputs to that record. Existing and proposed Union instruments in this field — the GDPR’s automated-decision provisions, the Platform Work Directive, the AI Act’s hig...
Sean MacNiven· Zenodo (CERN European Organi...· 0 citations
The traditional dual-stage warning and dual-grade braking autonomous emergency braking (AEB) control strategy has sudden change in the expected braking deceleration during the switch of working state, which will easily lead to significant longitudinal jerk of the vehicle and affect ride comfort during emergency braking...
Shou-Lin Gao, Xing-Yu Liu, Jian-Long Hu et al.· PLoS ONE· 0 citations
Evaluating Microsoft Copilot at enterprise scale requires test data that captures the full complexity of real organizations, yet real enterprise data contains sensitive information that cannot be used for evaluation under any circumstances. The post From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence appeared first on Microsoft Research.
Microsoft Research Blog· microsoft.comOct 29, 2026
Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.
“X-Hinges” helps design and 3D print items like lamps and gloves with an interactive twist: automatically embedded sensors that perceive and adaptively respond to human contact.
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
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