Results 91 to 100 of about 10,333,076 (321)

Satisfiability-Based Algorithms for Boolean Optimization

, 2004
This paper proposes new algorithms for the Binate Covering Problem (BCP), a well-known restriction of Boolean Optimization. Binate Covering finds application in many areas of Computer Science and Engineering.
Manquinho, V., Marques-Silva, J. P.
core   +2 more sources

Molecular dynamics simulations of positively selected codons in FcγRI reveal novel biochemical binding properties

FEBS Open Bio, EarlyView.
Evolutionary analysis across 32 placental mammals identified positive selection at residues H148 and W149 in the immune receptor FcγR1. Ancestral reconstruction combined with molecular dynamics simulations reveals how these mutations may influence receptor structure and dynamics, providing insight into the evolution of antibody recognition and immune ...
David A. Young, Omar Arias‐Gaguancela, Fiona Gibson, Morgan Grainger, Jodie Score, Amit Nathubhai, Mauricio Cafiero, Lee Richard Machado   +7 more
wiley   +1 more source

Optimizing transient gas network control for challenging real-world instances using MIP-based heuristics

Open Journal of Mathematical Optimization
Optimizing the transient control of gas networks is a highly challenging task. The corresponding model incorporates the combinatorial complexity of determining the settings for the many active elements as well as the non-linear and non-convex nature of ...
Hennings, Felix, Hoppmann-Baum, Kai, Zittel, Janina   +2 more
doaj   +1 more source

A Brief Comparison of Particle Swarm Optimization Algorithm and Firefly Algorithm

Jurnal informatika UPGRIS, 2018
In this article, we try to present some optimization algorithms that are often used by researchers. Through the information contained in this article, the reader can know and understand the development and mechanism of optimization algorithms.
Ahmad Sanmorino
doaj   +1 more source

Multi-population techniques in nature inspired optimization algorithms: A comprehensive survey

Swarm and Evolutionary Computation, 2019
Multi-population based nature-inspired optimization algorithms have attracted wide research interests in the last decade, and become one of the frequently used methods to handle real-world optimization problems.
Haiping Ma, Shigen Shen, Mei Yu, Zhile Yang, M. Fei, Huiyu Zhou   +5 more
semanticscholar   +1 more source

RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells

FEBS Open Bio, EarlyView.
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour, Christine Volmert, Valentina Piano   +2 more
wiley   +1 more source

Robust Adaptive Sliding Mode-Based Frequency Control for Nonlinear Thermal Power Systems With Boiler Dynamics

IEEE Access
This paper proposes a robust load frequency control (LFC) strategy for nonlinear thermal power systems (TPS). Unlike conventional LFC models, the developed system explicitly incorporates governor dead band, generation rate constraint, and boiler dynamics,
Anh-Tuan Tran, Van Van Huynh, Cong-Trang Nguyen, Ark Dev   +3 more
doaj   +1 more source

Remote Monitoring in Myasthenia Gravis: Exploring Symptom Variability

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare, autoimmune disorder characterized by fluctuating muscle weakness and potential life‐threatening crises. While continuous specialized care is essential, access barriers often delay timely interventions. To address this, we developed MyaLink, a telemedical platform for MG patients.
Maike Stein, Maximilian Mönch, Meret Herdick, Frauke Stascheit, Sarah Hoffmann, Hannah Preßler, Philipp Mergenthaler, Carla Dusemund, Paolo Doksani, Haoqi Sun, Pushpa Narayanaswami, Andreas Meisel, Lea Gerischer, Sophie Lehnerer   +13 more
wiley   +1 more source

A comparison of general-purpose optimization algorithms forfinding optimal approximate experimental designs [PDF]

, 2019
Several common general purpose optimization algorithms are compared for findingA- and D-optimal designs for different types of statistical models of varying complexity,including high dimensional models with five and more factors.
Garcia-Garcia, Jose Carlos, Garcia-Rodenas, Ricardo, Lopez-Fidalgo, Jesus, Martin-Baos, Jose Angel, Wong, Weng Kee   +4 more
core  

Development of a Prediction Model for Progression Risk in High‐Grade Gliomas Based on Habitat Radiomics and Pathomics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu, Yuxi Gong, Weilin Xu, Xingjian Sun, Gefei Jiang, Lei Qiu, Kexin Shi, Mengxing Wu, Yinjiao Fei, Jinling Yuan, Jinyan Luo, Yurong Li, Yuandong Cao, Minhong Pan, Shu Zhou   +14 more
wiley   +1 more source