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CALL FOR PAPERS Vol.1, No. 2 Desember 2019
Jurnal SOLUTIONS menerima naskah hasil penelitian ataupun gagasan tentang bimbingan dan konseling, psikologi, pendidikan, dan pengembangan diri. Karya merupakan karya asli dan belum pernah diterbitkan di media lain.
Solution, Solution
core +1 more source
Relationship Between Neurologic Symptoms and Signs and FMR1 Genotype in Premutation Carriers
ABSTRACT Background and Objectives Fragile X‐associated Tremor/Ataxia Syndrome (FXTAS) is the most severe late‐onset condition caused by a premutation in the FMR1 gene, characterized by expanded CGG triplet repeats of 55–200. Clinical presentations of FXTAS, including gait ataxia, kinetic tremor, cognitive decline, and rare Parkinsonism, are linked to ...
Flora Tassone +8 more
wiley +1 more source
Advancing Age Modulates Associations Between Cognitive Impairment and Brain Volumes in Early MS
ABSTRACT Introduction Cognitive impairment is common in multiple sclerosis (MS), but manifestations following the first demyelinating event are relatively unexplored. We investigated cross‐sectional associations between magnetic resonance imaging (MRI)–derived brain volumes and the presence of cognitive impairment outcomes five years after the first ...
Piriyankan Ananthavarathan +14 more
wiley +1 more source
BINARY MIXTURES OF FLUOROCARBON SURFACTANTS IN AQUEOUS SOLUTION. I.
Comportarea amestecului de perfl uorooctilsulfonat de potasiu şi perfl uorooctanoat de tetraetilamoniu a fost cercetată cu scopul de a determina compatibilitatea componenţilor şi efectele superfi ciale ale amestecului în soluţii apoase, urmărind ...
USM ADMIN
doaj
ABSTRACT Background and Purpose White matter hyperintensities (WMH) are a core neuroimaging marker of cerebral small vessel disease (CSVD). Sleep apnoea (SA) is a recognized vascular risk factor, but its associations with regional WMH burden, short‐interval WMH change and cognitive performance in population‐based cohorts remain incompletely defined. We
Peng Cheng +4 more
wiley +1 more source
Training multi-layer binary neural networks with random local binary error signals
Binary neural networks (BNNs) significantly reduce computational complexity and memory usage in machine and deep learning by representing weights and activations with just one bit.
Luca Colombo +2 more
doaj +1 more source
ABSTRACT Background Collaterals are crucial factors that influence the infarct growth rate (IGR). We aimed to determine whether a comprehensive multimodal collateral score (MCS), incorporating collateral assessment at the arterial, tissue, and venous levels, is associated with functional independence and provides incremental prognostic value over ...
Giorgio Busto +12 more
wiley +1 more source
Closed-Form Approximation of Maximum Free Distance for Binary Block Codes
We devise an analytically simple as well as invertible approximate expression, which describes the relation between the maximum free distance of a binary code and the corresponding maximum attainable code-rate.
Akhtman, Jos +7 more
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ABSTRACT Objective We aim to comprehensively analyze how regional tumor and edema characteristics are associated with clinical presentations and survival outcomes in a large cohort of glioblastoma patients. Methods Patients with IDH‐wildtype glioblastoma who received brain MRI from 2010 to 2023 were included.
Daniel J. Zhou +16 more
wiley +1 more source
The gas flow through porous media including that of multiple species is frequently described by the binary friction model (BFM) considering the binary diffusion, Knudsen diffusion, and viscous flow.
Unoaku Victoria Unije +3 more
doaj +1 more source

