Results 111 to 120 of about 242,339 (312)

A dynamic adaptive particle swarm optimization and genetic algorithm for different constrained engineering design optimization problems

Advances in Mechanical Engineering, 2019
A dynamic adaptive particle swarm optimization and genetic algorithm is presented to solve constrained engineering optimization problems. A dynamic adaptive inertia factor is introduced in the basic particle swarm optimization algorithm to balance the ...
Hao Zhu, Yumei Hu, Weidong Zhu
doaj   +1 more source

Clinical Spectrum and Outcomes of SOX1 Antibody‐Associated Paraneoplastic Neurological Syndromes: A Chinese Cohort Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background SOX1 antibody‐positive paraneoplastic neurological syndromes (PNS) exhibit significant population‐specific clinical heterogeneity. While Western cohorts predominantly manifest Lambert‐Eaton myasthenic syndrome (65%–80%), comprehensive clinical characterization and treatment response data in Asian populations remain critically ...
Jin‐Long Ye, Zu‐Ying Kuang, Bo Li, Meng‐Qiu Pan, Li‐Hua Zhou, Yang‐Yang Dai, Si‐Fen Xie, Xian‐Guang Lin, Ye‐Peng Hu, Li‐Hong Jiang, Zhan‐Hang Wang, Wei‐Jing Zhang   +11 more
wiley   +1 more source

Development of a hybrid genetic algorithm based decision support system for vehicle routing and scheduling in supply chain logistics managment [PDF]

, 2007
Vehicle Routing and Scheduling (VRS) constitute an important part of logistics management. Given the fact that the worldwide cost on physical distribution is evermore increasing, the global competition and the complex nature of logistics problems, one ...
Khanian, Seyed Mohammad Shafi
core  

Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito, Chiara Meneghini, Alice Galli, Luca Gallo, Pierfrancesco Mitrotti, Paola Dimartino, Marianna Inglese, Cinzia Zatti, Alessandro Lupini, Andrea Pilotto, Alessandro Padovani, Micol Avenali, Enza Maria Valente, Cristina Tassorelli, Silvia P. Caminiti   +14 more
wiley   +1 more source

Enhanced Breast Cancer Risk Classification Through Genetic Algorithm-Based Feature Selection and Machine Learning Techniques

Cumhuriyet Science Journal
Breast cancer remains one of the leading causes of mortality among women worldwide and represents a major global health challenge. Accurate classification of breast tumors as benign or malignant is therefore of critical importance for timely diagnosis ...
Aynur Yonar, Harun Yonar, Öznur Özaltın   +2 more
doaj   +1 more source

Diffusion Spectrum Imaging Maps Early Axonal Loss and a Unique Progressive Signal in Neuronal Intranuclear Inclusion Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To delineate specific in vivo white matter pathology in neuronal intranuclear inclusion disease (NIID) using diffusion spectrum imaging (DSI) and define its clinical relevance. Methods DSI was performed on 42 NIID patients and 38 matched controls.
Kaiyan Jiang, Yixiu Pei, Xiaobao Hu, Ying Xiong, Fang Wang, Yanyan Yu, Min Zhu, Dandan Tan, Meihong Zhou, Daojun Hong, Fuqing Zhou   +10 more
wiley   +1 more source

3-D Fixture Layout Design System Based on Genetic Algorithm

, 2010
Designing a fixture layout is the primary task of fixture design, which consists of determining the different combinations of locators and clamping scheme.
Chen, Xun, Yeung, Ka Yiu
core  

Functional and Structural Evidence of Neurofluid Circuit Aberrations in Huntington Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Disrupted neurofluid regulation may contribute to neurodegeneration in Huntington disease (HD). Because neurofluid pathways influence waste clearance, inflammation, and the distribution of central nervous system (CNS)–delivered therapeutics, understanding their dysfunction is increasingly important as targeted treatments emerge.
Kilian Hett, Abigail Dubois, Melanie Leguizamon, Alexander Song, Paula Trujillo, Colin D. McKnight, Ciaran M. Considine, Manus J. Donahue, Daniel O. Claassen   +8 more
wiley   +1 more source

Simultaneous feature selection and parameter optimisation using an artificial ant colony : case study of melting point prediction

, 2008
We present a novel feature selection algorithm, Winnowing Artificial Ant Colony (WAAC), that performs simultaneous feature selection and model parameter optimisation for the development of predictive quantitative structure-property relationship (QSPR ...
Nigsch Florian, David S Palmer, O'Boyle, NM, Florian Nigsch, Palmer, David S, Noel M O'Boyle, Nigsch, F, Mitchell, J. B., John BO Mitchell, O'Boyle, Noel M, Mitchell, John BO, Palmer, D. S., O'Boyle, N. M., Mitchell John BO, Nigsch, Florian, Palmer David S, Mitchell, John Blayney Owen, Nigsch, F., Palmer, DS, O'Boyle Noel M   +19 more
core   +1 more source

Structure–Function Decoupling of the Sensorimotor and Default Mode Networks in Black Americans With MS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Multiple sclerosis (MS) exhibits racially disparate rates of disease progression. Black people with MS (B‐PwMS) experience a more severe disease course than non‐Hispanic White people with MS (NHW‐PwMS). Here we investigated structural and functional connectivity as well as structure–function decoupling in the ...
Emilio Cipriano, Giacomo Boffa, Maria Petracca, Marta Ponzano, Nicole Graziano, Claire Wigley, Claire Riley, Jonathan Howard, Pietro Bontempi, Sylvia Klineova, Fred Lublin, Matilde Inglese   +11 more
wiley   +1 more source