Results 131 to 140 of about 1,176,061 (314)
Computational Methods in Architecture from theories to architectural design
, 2018 Computational Methods in Architecture. From theories to architectural design. Almost thirty years have passed since the mid-eighties, when the digital has burst into architectural design and production.
Del Monaco Anna
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Machine learning methods in computational toxicology [PDF]
, 2018 © Springer Science+Business Media, LLC, part of Springer Nature 2018. Various methods of machine learning, supervised and unsupervised, linear and nonlinear, classification and regression, in combination with various types of molecular descriptors, both “
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives Retrograde trans‐synaptic degeneration (rTSD) from posterior visual pathway lesions in multiple sclerosis (MS) is characterized by hemi‐macular ganglion cell‐inner plexiform layer (GCIPL) thinning and contralateral visual field loss.
Abdul Jaber Tayem +17 more
wiley +1 more source
Computational Methods for Understanding Complexity: The Use of Formal Methods in Biology
, 2016 The complexity of living organisms surpasses our unaided habilities of analysis. Hence, computational and mathematical methods are necessary for increasing our understanding of biological systems.
Rosenblueth, David A. +1 more
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore how cerebral hypoxia and Normal‐Appearing White Matter (NAWM) integrity affect MS lesion burden and clinical course. Methods Seventy‐nine MS patients, including 13 clinically isolated syndrome (CIS) patients and 66 relapsing–remitting multiple sclerosis (RRMS) patients, and 44 healthy controls (HCs) were recruited from ...
Xinli Wang +8 more
wiley +1 more source
Computational Methods for Differential Equations
The CMDE journal (Computational Methods for Differential Equations) aims to publish original research articles related to the development and analysis of new methods for solving differential equations, and their numerical or computational ...
Ballestra Luca Vincenzo
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Cracking the Code: Genotype–Phenotype Correlation Models in Sarcoglycanopathies
Annals of Clinical and Translational Neurology, EarlyView.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
A Depolarizing Leak in Sodium Bicarbonate Cotransporter NBCe1 Causes Brain Edema
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives SLC4A4 encodes electrogenic sodium bicarbonate cotransporter NBCe1, prominently expressed in kidney and brain. Recessive loss‐of‐function variants in SLC4A4 cause proximal renal tubular acidosis, no brain edema. In the brain, NBCe1 is expressed by astrocytes, where it regulates pH and mediates astrocyte volume changes.
Quinty Bisseling +16 more
wiley +1 more source
Machine learning methods in computational toxicology
, 2020 © Springer Science+Business Media, LLC, part of Springer Nature 2018. Various methods of machine learning, supervised and unsupervised, linear and nonlinear, classification and regression, in combination with various types of molecular descriptors, both “
core
Annals of Clinical and Translational Neurology, EarlyView.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