Results 91 to 100 of about 199,526 (313)

THE USE OF SIMULATION AND GENETIC ALGORITHM WITH DIFFERENT GENETIC OPERATORS TO OPTIMIZE MANUFACTURING SYSTEM [PDF]

Applied Computer Science, 2013
The article depicts an evolutionary approach to simulation based optimization of a typical manufacturing system. Genetic algorithm with four different variants of genetic operators (crossover operator and type of selection) is compared to find the best ...
Tomasz WIŚNIEWSKI, Szymon RYMASZEWSKI
doaj  

Genetic algorithm optimization for pre-processing and variable selection of spectroscopic data [PDF]

, 2004
Roger M. Jarvis, Royston Goodacre
openalex   +1 more source

Genetic Profile and Symptom Pattern Explain Variability of Deep Brain Stimulation Effect in Dystonia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Bilateral globus pallidus pars interna deep brain stimulation (GPi‐DBS) is a recognized and effective treatment option for drug‐resistant dystonia patients. However, the clinical GPi‐DBS outcomes vary significantly. Herein, we explored the pre‐implant factors affecting GPi‐DBS effectiveness.
Mahboubeh Ahmadipour, Luigi M. Romito, Antonio E. Elia, Nico Golfré Andreasi, Roberto Eleopra, Alberto Mazzoni, Fabiana Colucci   +6 more
wiley   +1 more source

The MSA Atrophy Index (MSA‐AI): An Imaging Marker for Diagnosis and Clinical Progression in Multiple System Atrophy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Reliable biomarkers are essential for tracking disease progression and advancing treatments for multiple system atrophy (MSA). In this study, we propose the MSA Atrophy Index (MSA‐AI), a novel composite volumetric measure to distinguish MSA from related disorders and monitor disease progression. Methods Seventeen participants with an
Paula Trujillo, Kilian Hett, Amy Cooper, Amy E. Brown, Jessica Iregui, Manus J. Donahue, M. Erik Landman, Italo Biaggioni, Margaret Bradbury, Cynthia Wong, David Stamler, Daniel O. Claassen   +11 more
wiley   +1 more source

An efficient methodology for discovering both of gene-environment interactions and gene-gene interactions causing genetic diseases

Egyptian Informatics Journal, 2020
Genetic diseases are one of the most critical diseases facing human societies, their risk lies in the transmission of genetic characteristics from one generation to another, where the imbalance of these characteristics leads to an unhealthy offspring ...
Mohamed A. El-Rashidy
doaj  

A Systematic Clinical Framework for Postimplantation Monitoring in Thalamic Neuromodulation: Insights From Twiddler's Syndrome

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT This case described a 25‐year‐old pregnant woman with refractory multifocal epilepsy, diagnosed in 2020 and treated with bilateral thalamic deep brain stimulation (DBS) targeting the centromedian and pulvinar nuclei. Prior to DBS, she experienced daily focal seizures, often progressing to generalized tonic–clonic seizures despite optimal ...
Shalin Shah, Ganne Chaitanya, Jeston Chin, Nicholas Delcimmuto, Jay R. Gavvala   +4 more
wiley   +1 more source

New Hybrid Feature Selection Approaches Based on ANN and Novel Sparsity Norm

Journal of Electrical and Computer Engineering
Feature selection is crucial for minimizing redundancy in information and addressing the limitations of traditional classification methods when dealing with large datasets and numerous features in many machine learning applications.
Khadijeh Nemati, Amir Hosein Refahi Sheikhani, Sohrab Kordrostami, Kamrad Khoshhal Roudposhti   +3 more
doaj   +1 more source

Digital Activity Markers in Chronic Inflammatory Demyelinating Polyneuropathy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To evaluate the utility of smartwatch and smartphone‐based activity metrics for assessing disease severity and quality of life in patients with chronic inflammatory demyelinating polyneuropathy (CIDP). Methods In the electronic monitoring of disease activity in patients with CIDP (EMDA‐CIDP) trial, we performed a prospective ...
Lars Masanneck, Jan Voth, Noëmi Gmahl, Konstantin Jendretzky, Niklas Huntemann, Noah M. Werner, Linea Schmidt, Menekse Oeztuerk, Paula Quint, Christina B. Schroeter, Hans Peter Hartung, Thomas Skripuletz, Gerd Meyer zu Hörste, Tobias Ruck, Sven G. Meuth, Marc Pawlitzki   +15 more
wiley   +1 more source

An Empirical Study of Univariate and Genetic Algorithm-Based Feature Selection in Binary Classification with Microarray Data [PDF]

, 2006
Michael Lecocke, Kenneth R. Hess
openalex   +1 more source

Cognitive Resilience in Apolipoprotein ε4 Carrier Women Predicted by Neuron‐Derived Extracellular Vesicles

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The Apolipoprotein (APOE) ε4 allele is the strongest genetic risk factor for late‐onset Alzheimer's disease (AD); however, many ε4 carriers remain cognitively intact into old age. Leveraging plasma neuron‐derived extracellular vesicles (NDEVs), we sought to identify biomarkers of cognitive resilience and their interplay with APOE ...
Apostolos Manolopoulos, Maja Mustapic, Carlos Nogueras‐Ortiz, Francheska Delgado‐Peraza, Krishna A. Pucha, Pamela J. Yao, Joseph Blommer, Michael P. Vreones, William York, De' Larrian Knight, Stephen R. Rapp, Aladdin H. Shadyab, JoAnn E. Manson, Ramon Casanova, Robert B. Wallace, Luigi Ferrucci, Susan M. Resnick, Dimitrios Kapogiannis   +17 more
wiley   +1 more source