De l’accompagnement des pratiques au contrôle des enseignants : quels enjeux pour quel métier ? by Marie-Ange Barthassat, Danielle Bonneton

Get full text

Mental Status Examination by J Gordon Millichap

Get full text

Usability of machine learning algorithms based on electronic health records for the prediction of acute kidney injury and transition to acute kidney disease: A proof of concept stu... by Lorenzo Ruinelli, Pietro Cippà, Chantal Sieber, Clelia Di Serio, Paolo Ferrari, Antonio Bellasi

“…Shapely additive explanations documented that age, urgent hospital admission, AKI severity, and baseline renal function were associated with AKI. Renal function trajectory during the first days of hospitalization was the most relevant predictor of AKD.…”
Get full text

NeuralConstraints: integrating a neural generative model with constraint-based composition by Juan S. Vassallo, Örjan Sandred, Julien Vincenot

Get full text

A Panoramic Review on Cutting-Edge Methods for Video Anomaly Localization by Rashmiranjan Nayak, Sambit Kumar Mishra, Asish Kumar Dalai, Umesh Chandra Pati, Santos Kumar Das

Get full text

Cognitive and motor disturbances in depression: insights from comprehensive behavioral assessments by Ioanna Douka, Marit F. L. Ruitenberg, Marit F. L. Ruitenberg, Kamile Weischedel, Carlos Phouthavongsay, Sara L. Weisenbach, Jos N. van der Geest, Brian J. Mickey, Vincent Koppelmans

“…However, comprehensive assessments of cognitive and motor domains in the same depression sample are rare.MethodsThis pilot study compared 20 depressed patients and 22 controls across multiple tests of cognitive and motor functions. We examined executive function and processing speed (Symbol Digit Modalities Test (SDMT), D-KEFS Color-Word Interference Test), verbal and visual learning and memory (Hopkins Verbal Learning Test (HVLT-R), and Brief Visuospatial Test (BVMT-R), gait (2-minute walking, 4-meter walking and walking while talking (WWT) tests), sarcopenia (grip strength ftest, knee extension test), and fine motor function (Archimedes Spiral Test, 9 Hole Peg Test). …”
Get full text

Visible neural networks for multi-omics integration: a critical review by David Antony Selby, Rashika Jakhmola, Rashika Jakhmola, Maximilian Sprang, Maximilian Sprang, Gerrit Großmann, Hind Raki, Hind Raki, Niloofar Maani, Niloofar Maani, Daria Pavliuk, Daria Pavliuk, Jan Ewald, Sebastian Vollmer, Sebastian Vollmer

Get full text

Artificial Intelligence for the Foreign Language Classes at Higher Education Institution by Julia E. Valkova

“…The aim of the work is to analyse the possibilities of AI application for foreign language teaching in higher education taking into account the functions of available information and communication tools. …”
Get full text

Feature engineering through two-level genetic algorithm by Aditi Gulati, Armin Felahatpisheh, Camilo E. Valderrama

“…Deep learning models are widely used for their high predictive performance, but often lack interpretability. …”
Get full text

RUSSIAN SCHOOL FOR BREASTFEEDING SUPPORT: IMPLEMENTATION OF A PARADIGM IN PRACTICE by V. I. Furtsev, М. Yu. Galaktionova

“…Functional nutrition is one of the main factors ensuring infants’ balanced growth and development, as well as learning abilities, immunity to unfavourable environment conditions during infancy period. …”
Get full text

The Neuroscience Behind Writing: Handwriting vs. Typing—Who Wins the Battle? by Giuseppe Marano, Georgios D. Kotzalidis, Francesco Maria Lisci, Maria Benedetta Anesini, Sara Rossi, Sara Barbonetti, Andrea Cangini, Alice Ronsisvalle, Laura Artuso, Cecilia Falsini, Romina Caso, Giuseppe Mandracchia, Caterina Brisi, Gianandrea Traversi, Osvaldo Mazza, Roberto Pola, Gabriele Sani, Eugenio Maria Mercuri, Eleonora Gaetani, Marianna Mazza

“…Despite the advantages of typing in terms of speed and convenience, handwriting remains an important tool for learning and memory retention, particularly in educational contexts. …”
Get full text

Social semiotics analysis of Palestinian mathematics textbooksfor eighth grade by Wajeeh Daher, Ijteyad abu Thabet

Get full text

Mitigation of learning and memory impairment caused by acute total sleep deprivation through OX1R/OX2R-mediated hippocampal neurogenesis in rats by Yixin Yu, Na Shao, Xiao Zhang, Wanyu Zhao, Baokun Zhang, Jiyou Tang, Shi Tang

“…To observe the effects on learning and memory and hippocampal neurogenesis in the hippocampal CA1 area, we first transfected lentivirus to downregulate orexin receptor function in rats. …”
Get full text

Atrial Fibrillation Follow-up Investigation to Recover Memory and Learning Trial (AFFIRMING): Rationale and Design of a Multi-center, Double-blind, Randomized Controlled Trial by Zhiyan Wang, Yiqun Zhang, Chao Jiang, Rong Hu, Wenli Dai, Yu Kong, Liling Sun, Litao Wu, Hongxu Geng, Chunqi Ren, Xiangyang Zhang, Jia Wang, Hong Jiang, Jianzeng Dong, Changsheng Ma, Xin Du

“…The Atrial Fibrillation Follow-up Investigation to Recover Memory and learning (AFFIRMING) study is aimed at evaluating the potential for computerized cognitive training to improve cognitive function in patients with AF. …”
Get full text

Do children have insights into their performance in an inhibitory control task?: An explorative study with 9- and 11-year-olds by Ebru Ger, Elena Cravet

Get full text

Automated diagnosis of mild cognitive impairment through connectivity analysis of EEG signals and a DL scheme by Jiayi Lin, Wei Huang

“…Abstract There is a hypothesis that deep learning (DL) can enhance the accuracy of diagnosing Alzheimer’s disease (AD) through effectively classifying EEGs from people with AD, mild cognitive impairment (MCI), or healthy aging. …”
Get full text

Unsupervised Feature Representation Based on Deep Boltzmann Machine for Seizure Detection by Tengzi Liu, Muhammad Zohaib Hassan Shah, Xucun Yan, Dongping Yang

Get full text

NDAWL-PINN: a new non-dimensionalization and multi-task learning approach for efficient training of physics-informed neural networks to solve the shallow water equations by Xin Qi, Dawei Zhang, Fan Wang, Wuxia Bi, Mingda Lu

“…This paper introduces a novel training approach that integrates non-dimensionalization with a multi-task learning technique, termed Automatic Weighted Loss (AWL), to autonomously achieve an optimal balance for each loss function. …”
Get full text

Reduced-Order Models and Conditional Expectation: Analysing Parametric Low-Order Approximations by Hermann G. Matthies

“…Similarly, in the field of machine learning, a function mapping the parameter set to the image space of the machine learning model is learned from a training set of samples, typically minimising the mean square error. …”
Get full text

Clinical Characteristics of Pediatric Chronic Rhinosinusitis: A Nationwide Retrospective Multicenter Study by Donghyeok Kim, Gwanghui Ryu, Sang Duk Hong, Shin Hyuk Yoo, Sue Jean Mun, Eun Jung Lee, Sung-Jae Heo, Jin Hyeok Jeong, Dae Woo Kim, Hyung-Ju Cho, Min-Seok Rha, Yong Min Kim, Ki-Il Lee, Ji-Hun Mo

“…Background and Objectives Pediatric chronic rhinosinusitis (CRS) significantly affects children’s quality of life and learning abilities. This study aimed to evaluate the postoperative outcomes in pediatric patients who underwent functional endoscopic sinus surgery (FESS) for CRS. …”
Get full text