Results 81 to 90 of about 885,017 (274)

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

Experimental implementation of active models for programming education in university settings

Mundo Fesc
Traditional programming education faces challenges in developing algorithmic and logical thinking. To address this, active learning has been explored, directly engaging students in problem-solving.
Laura Julieth Ibatá Soto, Juan Carlos Correa Zapata, Silvana Lorena Vallejo Córdoba, Juan David Tamayo Quintero   +3 more
doaj   +1 more source

BoolSi: A Tool for Distributed Simulations and Analysis of Boolean Networks

Journal of Open Research Software, 2020
We present BoolSi, an open-source cross-platform command line tool for distributed simulations of synchronous Boolean networks. It uses MPI standard to support execution on computational clusters, as well as parallel processing on a single computer ...
Vladyslav Oles, Anton Kukushkin
doaj   +1 more source

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

Type inference for Python programming language

Труды Института системного программирования РАН, 2018
The article presents type inference for programs written in Python programming language. At first, type inference algorithms for parametric polymorphism that were described in the scientific literature are reviewed.
I. E. Bronshteyn
doaj  

Parametrizando ejercicios con Python y LaTeX: una novedosa estrategia para generación de materiales de enseñanza y evaluación en matemáticas (Parameterizing exercises with Python and LaTeX: a novel strategy for generating teaching and assessment materials inmathematics)

Revista Digital Matemática, Educación e Internet
En este artículo se presenta una propuesta novedosa para su uso en docencia, que consiste en la construcción de ejercicios generados a partir de una estructura base con parámetros pseudoaleatorios, de manera que al sustituirlos con valores particulares ...
Jorge Arroyo Hernández, Federico Mora Mora, Eithel Trigueros Rodríguez, Karen Porras Lizano   +3 more
doaj   +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

Двухкомпонентная модель конкуренции с двумя разными свободными границами

Vestnik KRAUNC: Fiziko-Matematičeskie Nauki
В настоящей работе исследуется динамика конкурентной системы Лотки-Вольтерра, содержащей две свободные границы, при этом каждая из границ моделирует фронт распространения одного из двух конкурирующих видов.
Зуннунов, Р.Т., Расулов, М.С., Паровик, Р.И.   +2 more
doaj   +1 more source

Understanding Further the Phenotypic Spectrum of Central Nervous System Inflammatory Demyelinating Disorders Using Unsupervised Clustering

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Central nervous system (CNS) inflammatory demyelinating syndromes, including multiple sclerosis (MS), aquaporin‐4 antibody–positive neuromyelitis optica spectrum disorder (AQP4 + NMOSD), and myelin oligodendrocyte glycoprotein (MOG) antibody–associated disease (MOGAD), occasionally overlap.
Bade Gulec, Elif Everest, Melih Tutuncu, Ugur Bilge, Sabahattin Saip, Ugur Uygunoglu, Aksel Siva   +6 more
wiley   +1 more source

Probabilistic Programming in Python using PyMC

, 2015
Probabilistic programming (PP) allows flexible specification of Bayesian statistical models in code. PyMC3 is a new, open-source PP framework with an intutive and readable, yet powerful, syntax that is close to the natural syntax statisticians use to ...
Fonnesbeck, Christopher, Salvatier, John, Wiecki, Thomas   +2 more
core   +2 more sources