Results 51 to 60 of about 141,350 (263)

Automatic classification of Chinese programming MOOC reviews using fine-tuned BERTs and GPT-augmented data

Educational Technology & Society
In massive open online course (MOOC) environments, computer-based analysis of course reviews enables instructors and course designers to develop intervention strategies and improve instruction to support learners’ learning.
Xieling Chen, Haoran Xie, Di Zou, Lingling Xu, Fu Lee Wang
doaj   +1 more source

Exploratory Analysis of ELP1 Expression in Whole Blood From Patients With Familial Dysautonomia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Familial dysautonomia (FD) is a hereditary neurodevelopmental disorder caused by aberrant splicing of the ELP1 gene, leading to a tissue‐specific reduction in ELP1 protein expression. Preclinical models indicate that increasing ELP1 levels can mitigate disease manifestations.
Alejandra González‐Duarte, Lucy Norcliffe‐Kaufmann, Maria Luisa Cotrina, Zenith Khan, Kaia Dalamo, Patricio Millar Vernetti, Matthew Lawless, Elisabetta Morini, Monica Salani, Marla Weetall, Jana Narasimhan, Agostino G. Rocha, Susan A. Slaugenhaupt, Horacio Kaufmann   +13 more
wiley   +1 more source

Scalable Video Processing and Frame Analysis System for Automated Monitoring of Chicken Behavior Based on Artificial Intelligence Technologies

Proceedings of the International Conference on Applied Innovations in IT
Modern global crises have significantly impacted the agribusiness sector, particularly poultry farming, which has experienced issues with logistics, labor shortages, and disruptions in the supply of feed and veterinary drugs.
Svitlana Antoshchuk, Oleksii Danchuk, Tetiana Kunup   +2 more
doaj   +1 more source

Investing for the Long Run

, 2017
This paper studies long term investing by an investor that maximizes either expected utility from terminal wealth or from consumption. We introduce the concepts of a generalized stochastic discount factor (SDF) and of the minimum price to attain target ...
Leisen, Dietmar, Platen, Eckhard
core   +1 more source

Chat GPT

Revista Mexicana de Ciencias Penales, 2023
El nacimiento de ChatGPT ha significado un punto de partida para la reflexión del lugar que la inteligencia artificial debe jugar en nuestra vida cotidiana, dejando de pertenecer exclusivamente al área de la ciencia ficción. Entre sus usos se debe considerar también su utilidad como herramienta para la comisión de delitos, dada su capacidad para ...
openaire   +1 more source

DroidBot-GPT: GPT-powered UI Automation for Android

, 2023
8 pages, 5 ...
Wen, Hao, Wang, Hongming, Liu, Jiaxuan, Li, Yuanchun   +3 more
openaire   +2 more sources

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Universal Electronic‐Structure Relationship Governing Intrinsic Magnetic Properties in Permanent Magnets

Advanced Functional Materials, EarlyView.
Permanent magnets derive their extraordinary strength from deep, universal electronic‐structure principles that control magnetization, anisotropy, and intrinsic performance. This work uncovers those governing rules, examines modern modeling and AI‐driven discovery methods, identifies critical bottlenecks, and reveals electronic fingerprints shared ...
Prashant Singh
wiley   +1 more source

Numerical Computation of approximate Generalized Polarization Tensors

, 2011
In this paper we describe a method to compute Generalized Polarization Tensors. These tensors are the coefficients appearing in the multipolar expansion of the steady state voltage perturbation caused by an inhomogeneity of constant conductivity.
Capdeboscq, Yves, Karrman, Anton Bongio, Nédélec, Jean-Claude   +2 more
core   +3 more sources

GPT-PPG: a GPT-based foundation model for photoplethysmography signals

Physiological Measurement
Abstract Objective. This study aims to introduce a novel generative pre-trained transformer (GPT)-based foundation model specifically tailored to photoplethysmography (PPG) signals, enabling effective adaptation to various downstream biomedical tasks. Approach.
Zhaoliang Chen, Cheng Ding, Saurabh Kataria, Runze Yan, Minxiao Wang, Randall Lee, Xiao Hu   +6 more
openaire   +3 more sources