Results 91 to 100 of about 858,221 (272)

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

Predicting Epileptogenic Tubers in Patients With Tuberous Sclerosis Complex Using a Fusion Model Integrating Lesion Network Mapping and Machine Learning

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu, Qi Wang, Suhui Kuang, Dezhi Cao, Ping Ding, Shaohui Zhang, Haihua Wei, Zhirong Wei, Jinshan Xu, Xinyu Huang, Bing Liu, Shuli Liang   +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

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

PYTHON IMPLEMENTATION OF VISUAL SECRET SHARING SCHEMES [PDF]

Visual secret sharing schemes (VSS) represent an important concept of visual cryptography. They permit the sharing of a secret image between multiple participants so that only authorized groups can recover the secret.
Ruxandra Olimid
core  

PyR@TE: Renormalization Group Equations for General Gauge Theories

, 2013
Although the two-loop renormalization group equations for a general gauge field theory have been known for quite some time, deriving them for specific models has often been difficult in practice.
Lyonnet, Florian, Schienbein, Ingo, Staub, Florian, Wingerter, Akin   +3 more
core   +3 more sources

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

Аналіз досвіду навчання сучасним мовам програмування у закладах вищої освіти України

Ukrainian Journal of Educational Studies and Information Technology, 2018
Стаття присвячена аналізу Аналіз досвіду навчання найпоширеніших сучасних мов програмування у провідних закладах вищої освіти України. Метою статті є аналіз досвіду навчання найпоширеніших сучасних мов програмування у провідних закладах вищої освіти ...
Сергій Олександрович Довгопол
doaj  

Hip Morphology–Based Osteoarthritis Risk Prediction Models: Development and External Validation Using Individual Participant Data From the World COACH Consortium

Arthritis Care &Research, EarlyView.
Objective This study aims to develop hip morphology‐based radiographic hip osteoarthritis (RHOA) risk prediction models and investigates the added predictive value of hip morphology measurements and the generalizability to different populations. Methods We combined data from nine prospective cohort studies participating in the Worldwide Collaboration ...
Myrthe A. van den Berg, Fleur Boel, Michiel M. A. van Buuren, Noortje S. Riedstra, Jinchi Tang, Harbeer Ahedi, Nigel K. Arden, Sita M. A. Bierma‐Zeinstra, Cindy G. Boer, Flavia M. Cicuttini, Timothy F. Cootes, David T. Felson, Willem Paul Gielis, Joshua Heerey, Graeme Jones, Stefan Kluzek, Nancy E. Lane, Claudia Lindner, Joyce B. J. van Meurs, Andrea Mosler, Amanda E. Nelson, Michael C. Nevitt, Edwin H. Oei, Jos Runhaar, Harrie Weinans, Jesse H. Krijthe, Rintje Agricola   +26 more
wiley   +1 more source

API design for machine learning software: experiences from the scikit-learn project [PDF]

, 2013
Scikit-learn is an increasingly popular machine learning li- brary. Written in Python, it is designed to be simple and efficient, accessible to non-experts, and reusable in various contexts.
Blondel, Mathieu, Buitinck, Lars, Gramfort, Alexandre, Grisel, Olivier, Grobler, Jaques, Holt, Brian, Joly, Arnaud, Layton, Robert, Louppe, Gilles, Mueller, Andreas, Niculae, Vlad, Pedregosa, Fabian, Prettenhofer, Peter, Vanderplas, Jake, Varoquaux, Gaël   +14 more
core   +3 more sources