Results 211 to 220 of about 361,095 (313)

PMU‐Based Wide Area Monitoring With Machine Learning to Prevent Blackouts in Bangladesh Power System

Energy Science &Engineering, EarlyView.
A Unified Real‐time Dynamic State Measurements (URTDSM) system with PMU and Phasor Data Concentrator (PDC) deployment plan has been proposed to avoid blackout in the Bangladeshi power system. Machine learning has been used to process data from PMU to identify abnormal events. ABSTRACT The electrical power system must be trustworthy and secure enough to
Imi Bintey Fariha Rahman, Md. Minarul Islam, Md. Shahin Parvej, Abdul Hasib Chowdhury, Taha Selim Ustun, Kashem M. Muttaqi   +5 more
wiley   +1 more source

Indoor Air Quality: An Overdue Awakening. [PDF]

Environ Sci Technol
Marr LC, Corsi RL.
europepmc   +1 more source

Exercise‐specific plasma proteomic signatures in racehorses: Candidates for training adaptation and peak load monitoring

Equine Veterinary Journal, EarlyView.
Abstract Background Racehorses undergo profound physiological changes with training and competition, but current biomarkers inadequately capture the complex molecular dynamics of exercise. This study aimed to identify novel plasma biomarkers of training adaptation and peak load using high‐throughput proteomics.
Jowita Grzędzicka, Bianka Świderska, Ewa Sitkiewicz, Izabela Dąbrowska, Olga Witkowska‐Piłaszewicz   +4 more
wiley   +1 more source

KuSarcasm: Automated annotation of a sarcasm dataset using hybrid NLP techniques. [PDF]

Data Brief
Aghajan S, Nabi RM.
europepmc   +1 more source

Transcriptomic signatures reveal systemic adaptations and immune modulation in response to training and competitive racing in horses

Equine Veterinary Journal, EarlyView.
Abstract Background The molecular mechanisms underlying adaptation to physical exertion and racing stress in horses remain incompletely understood. Peripheral blood transcriptomics offers a minimally invasive method to monitor systemic responses to exercise and identify biomarkers of adaptation or overload. Objectives To evaluate transcriptomic changes
Izabela Dąbrowska, Jowita Grzędzicka‐Agko, Paula Kiełbik, Michał Trela, Olga Witkowska‐Piłaszewicz   +4 more
wiley   +1 more source

Influences of Language Functions on Linguistic Features: Multi-Dimensional and Entropy Analyses of Academic and Entertainment Registers. [PDF]

Entropy (Basel)
Hu C, Zhu Y, Yuan L.
europepmc   +1 more source

How emerging market firms learn to lead in complex product systems: Evidence from China's civil aircraft industry

Global Strategy Journal, EarlyView.
Abstract Research Summary The rise of emerging market lead firms (LFs) in global value chains (GVCs) challenges the prevailing view that only multinational corporations (MNCs) from advanced economies lead systems integration, design, and innovation activities.
Yuanyuan Wu, Paola Perez‐Aleman
wiley   +1 more source

Knowledge-driven teaching-learning-based optimization algorithm for bi-objective flexible job-shop scheduling problem with tool allocation. [PDF]

PLoS One
Chen K, Yuan X, Tan W.
europepmc   +1 more source

Intensive Swallowing Rehabilitation for Head and Neck Cancer Survivors With Chronic Dysphagia: Outcomes From a Prospective Multicentre Cohort Study With 6‐Month Follow‐Up

Head &Neck, EarlyView.
ABSTRACT Background Chronic dysphagia persists in some head and neck cancer (HNC) survivors despite preventive exercises, negatively impacting quality of life. Evidence for effective rehabilitation strategies remains limited. Methods This prospective cohort study included 34 HNC survivors (≥ 1 year post‐treatment) who completed a 3‐week intensive ...
J. I. Oldenbeuving, L. van der Molen, J. T. Groothuis, J. G. Kalf   +3 more
wiley   +1 more source

Challenges, Ethical Considerations, and Best Practices of Using AI-Assisted Translation in Medical Writing: Examples From Japanese-English Translations. [PDF]

J Korean Med Sci
Kojima T, Morita T, Popiel HA.
europepmc   +1 more source