Results 61 to 70 of about 3,901 (232)

Research on the impact of algorithmic trading on market volatility

Scientific Reports
The rapid growing of algorithmic trading (AT) has been playing an increasingly important role in shaping financial market in recent years. Although many scholars have studied the impact of AT on market volatility, the evidence they provided is ...
Dan Yang, Yang Yang, Jia Luo, Zeming Wang, Haowei Sha   +4 more
doaj   +1 more source

AI in Rural Classrooms: Challenges and Perspectives from South African Educators

International Journal of Current Educational Studies
Despite growing interest in artificial intelligence (AI) in South African education, limited research has examined how rural educators perceive and navigate AI integration.
Oratilwe Penwell Mokoena, Solly Matshonisa Seeletse   +1 more
doaj   +1 more source

Dorsal Raphe VIP Neurons Are Critical for Survival‐Oriented Vigilance

Advanced Science, EarlyView.
DRNVIP neurons in mice and primates are strategically positioned to influence the central extended amygdala via feedback loops. They regulate the excitability of PKC‐δ neurons in the ovBNST and CeA through glutamate release. Their ablation heightens activity in these regions, disrupts active‐phase sleep architecture, enhances risk assessment behaviors ...
Adriane Guillaumin, Emma Perrot, Thibault Dhellemmes, Laura Boi, Daniel De Castro Medeiros, Christelle Glangetas, Sylvie Dumas, Sandra Dovero, Nathalie Biendon, Elodie Ladeveze, Maëlle Hardel, Marc Landry, Erwan Bezard, Jérôme Baufreton, Gilberto Fisone, François Georges   +15 more
wiley   +1 more source

Corporate pension funds in Ukraine: features of formation and development prospects

Український соціум
The purpose of this article is to analyse and evaluate current trends in the development of corporate non-state pension funds, which over the last decade have become the main institutional element of the long-term savings system.
Makarenko Oleh
doaj   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Quantitative Stock Selection Model Using Graph Learning and a Spatial–Temporal Encoder

Journal of Theoretical and Applied Electronic Commerce Research
In the rapidly evolving domain of finance, quantitative stock selection strategies have gained prominence, driven by the pursuit of maximizing returns while mitigating risks through sophisticated data analysis and algorithmic models.
Tianyi Cao, Xinrui Wan, Huanhuan Wang, Xin Yu, Libo Xu   +4 more
doaj   +1 more source

Understanding the Interplay Between Thermal Activation, Diffusion, and Phase Segregation of Molecular Dopants Blended with Polymeric Semiconductors

Advanced Electronic Materials, EarlyView.
The use of air stable but thermally labile molecules provides an efficient strategy for the N‐type doping of organic semiconductors with relatively low electron affinities. Design criteria for efficient dopants should also take into account diffusion and phase segregation that cannot be decoupled from thermally activated doping.
Francesca Pallini, Sara Mattiello, Mauro Sassi, Gabriele Paoli, Giuseppe Mattioli, Pietro Rossi, Giulia Coco, Alberto D. Scaccabarozzi, Brian Minki Kim, Pietro Mariani, Hiba Wakidi, Sadie M. Flagg, Massimiliano D'Arienzo, Mario Caironi, Thuc‐Quyen Nguyen, Luca Beverina   +15 more
wiley   +1 more source

Stock Price Forecasting Using a Time-Series Long Short-Term Memory Model

Finance, Accounting and Business Analysis
Purpose: This study aims to introduce and evaluate a novel application of Long Short-Term Memory (LSTM) networks for stock price forecasting by integrating multi-stock comparative analysis across different volatility regimes, addressing a key gap in the ...
Adedeji Gbadebo
doaj   +1 more source

Conformal Reconfigurable Intelligent Surfaces: A Cylindrical Geometry Perspective

Advanced Electronic Materials, EarlyView.
Cylindrical reconfigurable intelligent surfaces are explored for low‐complexity beam steering using one‐bit meta‐atoms. A multi‐level modeling approach, including optimization‐based synthesis, demonstrates that even minimal hardware can support directive scattering.
Filippo Pepe, Ivan Iudice, Giuseppe Castaldi, Marco Di Renzo, Vincenzo Galdi   +4 more
wiley   +1 more source

EFFICIENCY ANALYSIS OF FINANCIAL TIME SERIES FORECASTING MODELS UNDER MARKET TURBULENCE CONDITIONS

Компютерні системи та інформаційні технології
This paper presents a comparative analysis of financial time series forecasting models' effectiveness under market turbulence conditions. The study focuses on evaluating the adaptability of statistical ARIMA model and recurrent LSTM neural network ...
Олег ПАСТУХ, Юрій ПЕТРОВ   +1 more
doaj   +1 more source