Results 121 to 130 of about 297,930 (301)
Cracking the Code: Genotype–Phenotype Correlation Models in Sarcoglycanopathies
ABSTRACT Objective Sarcoglycanopathies are among the most severe limb‐girdle muscular dystrophies (LGMD), though milder presentations have been described. These diseases are primarily caused by missense variants, but the limited predictability of their effect on protein maturation, complex formation, and transport has hindered reliable genotype ...
Leonela Luce +72 more
wiley +1 more source
Impact of wind power on the unit commitment, operating reserves and market design
Paper presented at the 2011 IEEE Power and Energy Society General Meeting, San Diego, CA, 24-29 July 2011This article highlights and demonstrates the new requirements variable and partly unpredictable wind power will bring to unit commitment and power ...
Milligan, M. +25 more
core +1 more source
Stochastic Wind-Thermal Power Plants Integrated Multi-Objective Optimal Power Flow
The recent state of electrical system comprises the conventional generating units along with the sources of renewable energy. The suggested article recommends a method for the solution of single and multi-objective optimal power flow, incorporating wind ...
Sundaram Pandya, Hitesh Jariwala
doaj
Future power networks are expected to incorporate a large number of distributed energy resources, which introduce randomness and fluctuations as well as fast control capabilities. But traditional optimal power flow methods are only appropriate for applications that operate on a slow timescale.
Yujie Tang 0002 +2 more
openaire +2 more sources
ABSTRACT Objective Considerable efforts have been dedicated to developing effective treatments for post‐stroke executive impairment (PSEI), among which repetitive transcranial magnetic stimulation (rTMS) has shown great potential. This study aimed to investigate the therapeutic effects of high‐frequency rTMS on working memory (WM) and response ...
Mengting Lao +6 more
wiley +1 more source
This article introduces a new attempt of utilizing the sunflower optimization (SFO) algorithm in solving the problem of optimal power flow (OPF) in the field of power systems.
Mohamed A. M. Shaheen +3 more
doaj +1 more source
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio +8 more
wiley +1 more source
ABSTRACT Objective To evaluate the efficacy and safety of ofatumumab in patients with myelin oligodendrocyte glycoprotein antibody–associated disease (MOGAD), and compare it with rituximab. Methods We conducted a single–center, observational study including 22 MOGAD patients treated with ofatumumab and 21 treated with rituximab.
Yuxin Fan +5 more
wiley +1 more source
Optimal Power Flow for radial and mesh grids using semidefinite programming
This paper presents a convex formulation for optimal power flow (OPF) in both radial and meshed grids. A semidefinite programming (SDP) approximation transforms the quadratic non-convex model into a relaxed convex quadratic model, which can be more ...
Oscar D. Montoya-Giraldo +8 more
core +1 more source
reservedIl presente lavoro di tesi si concentra sullo studio di algoritmi per la risoluzione dell'Optimal Power Flow (OPF), un problema cruciale nella gestione delle reti elettriche. L'obiettivo principale della trattazione è lo studio approfondito e la
GALLO, LEONARDO
core

