Results 91 to 100 of about 18,049 (263)
Advanced Intelligent Systems, EarlyView.Musculoskeletal humanoids exhibit rich biomechanical properties that remain insufficiently unified in prior discussions. This article systematically categorizes muscle characteristics into five properties: redundancy, independency, anisotropy, variable moment arm, and nonlinear elasticity, and analyzes their combined effects on control.
Kento Kawaharazuka +2 more
wiley +1 more source
Angewandte Chemie, EarlyView.Three‐component thio‐ and carbo‐boration reactions to form functionalised benzoxaborinines and benzazaborinines are reported. The nucleophile scope includes thioethers, thiols, and (hetero)arenes. Mechanistic studies revealed a disparity between thioboration using thioethers and using thiols.
Laura Winfrey +4 more
wiley +2 more sources
Advanced Intelligent Systems, EarlyView.This paper presents a lidar‐based sensor node design and a rule‐based state observer for edge‐based traffic participant tracking. Unlike other state‐of‐the‐art methods, this state observer enables real‐time, CPU‐only edge processing without relying on machine learning approaches.
Simon Schäfer +2 more
wiley +1 more source
Post-Quantum Encryption Algorithms
Acta Electrotechnica et InformaticaThe most used asymmetric encryption algorithm nowadays is RSA. It may become insecure regarding advances in the field of quantum computers. It is the reason why the National Institute of Standards and Technologies introduces the challenges of choosing a ...
Pekarčík Peter, Chovancová Eva
doaj +1 more source
Journal of Advanced Transportation, 2020 Electric bikes play an important role in the urban transportation system in China. Yellow-light running behavior of riders is one of the most critical factors for e-bike riders involved in traffic crashes at intersection.
Jing Cai +5 more
doaj +1 more source
Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning
Advanced Intelligent Systems, EarlyView.A subjective risk‐driven inverse reinforcement learning framework is proposed to model driver decision‐making. It infers drivers' risk perception and risk tolerance from driving data. A learnable risk threshold is used to regulate decisions, enabling interpretable and human‐like driving behavior decisions.
Yang Liang +6 more
wiley +1 more source
American Journal of Industrial Medicine, EarlyView.ABSTRACT Background Outdoor agricultural workers experience significant heat exposure, yet few studies have evaluated whether wearable sensors can reliably measure continuous physiological responses in real field conditions. This pilot study examined the feasibility and predictive utility of core temperature, hydration, heart rate, and movement data ...
Sinan Sousan +10 more
wiley +1 more source
FF-STGCN: A usage pattern similarity based dual-network for bike-sharing demand prediction.
PLoS ONEAccurate bike-sharing demand prediction is crucial for bike allocation rebalancing and station planning. In bike-sharing systems, the bike borrowing and returning behavior exhibit strong spatio-temporal characteristics. Meanwhile, the bike-sharing demand
Di Yang +3 more
doaj +1 more source
DESIGN AND FABRICATION OF E-BIKE FOR GHAT ROADS
, 2023 I. Murali Krishna I. Murali Krishna
openalex +1 more source
35 Individuals With HUWE1‐Related Neurodevelopmental Disorder and Suggested Clinical Evaluations
American Journal of Medical Genetics Part A, EarlyView.ABSTRACT HUWE1 (HECT, UBA, and WWE Domain Containing E3 Ubiquitin Protein Ligase1, OMIM 300697), located at Xp11.22, encodes a ubiquitin ligase that is highly conserved across species. Genetic variants in HUWE1 described in multiple independent studies cause X‐linked intellectual disability, including in the patients identified by Juberg, Marsidi, and ...
Mindy H. Li +25 more
wiley +1 more source