Results 171 to 180 of about 176,660 (282)

The Power of Professional Expertise: Unravelling the Boardroom Diversity Puzzle Through a Machine Learning Approach

Accounting &Finance, EarlyView.
ABSTRACT This study examines how board expertise diversity influences firm performance using a novel machine learning approach to classify directors' professional backgrounds. Drawing on data from Spanish listed firms, we develop multidimensional expertise profiles that capture multiple skills held by each director.
Fernando Hernández‐Atienza, Juan Antonio Rodríguez‐Sanz, Benjamín Sahelices, Fernando Tejerina‐Gaite, César Vaca   +4 more
wiley   +1 more source

Zero-shot prediction of drug responses using biologically informed neural networks trained on phosphoproteomic timeseries. [PDF]

PLoS Comput Biol
Antonopoulos K, Nordenstorm O, Nilsson A.   +2 more
europepmc   +1 more source

Physicochemical and remineralisation properties of calcium silicate and glass ionomer cements applied in simulated caries‐affected dentine

European Journal of Oral Sciences, EarlyView.
Abstract Calcium silicate‐based and glass ionomer cements are often used in caries‐affected dentine. This study investigated the remineralising and physicochemical properties of two calcium silicates and a glass ionomer cement. Human molars with Class I cavities were subjected to pH cycling to simulate caries lesions.
Monika Lukomska‐Szymanska, Mateusz Radwanski, Stella Helen Constantinidou, Augusto R. Elias Boneta, Umer Daood, Kharouf Naji, Filippo Cardinali, Salvatore Sauro   +7 more
wiley   +1 more source

When LLMs speak ZigBee: exploring low-latency and reasoning models for network traffic generation. [PDF]

Sci Rep
Keleşoğlu N, Sobczak Ł, Domańska J.
europepmc   +1 more source

Harnessing Human Mobility Data for Applied Economic Research: Current Knowledge, Challenges, and Emerging Opportunities

Journal of Economic Surveys, EarlyView.
ABSTRACT This paper reviews how large‐scale mobility data can enhance economic analyses, highlighting its contributions to understanding travel behavior, labor markets, social interactions, and health outcomes. We discuss its advantages over traditional mobility data sources, which include real‐time location information and fine spatial resolution ...
Cristina Connolly, Sandro Steinbach, Mike Vo, Xibo Wan   +3 more
wiley   +1 more source

Ensemble-based high-performance deep learning models for medical image retrieval in breast cancer detection. [PDF]

Sci Rep
Fawzy AE, Almandouh ME, Herajy M, Eisa M.   +3 more
europepmc   +1 more source

A perspective on automated rapid eye movement sleep assessment

Journal of Sleep Research, Volume 34, Issue 2, April 2025.
Summary Rapid eye movement sleep is associated with distinct changes in various biomedical signals that can be easily captured during sleep, lending themselves to automated sleep staging using machine learning systems. Here, we provide a perspective on the critical characteristics of biomedical signals associated with rapid eye movement sleep and how ...
Mathias Baumert, Huy Phan
wiley   +1 more source

Multi-view text classification through integrated RNN autoencoder learning of word, sentence, emotion and paragraph representations. [PDF]

Sci Rep
Ding Y, Shalaby M, Singh NSS, Alfilh RHC.   +3 more
europepmc   +1 more source

VGM-RNN

, 2019
openaire   +2 more sources

Vertical profiling of shock attenuation at the Rochechouart impact structure, France

Meteoritics &Planetary Science, EarlyView.
Abstract Rochechouart, south‐west France, is a complex impact structure. Here, we present the first report of shock barometry of quartz from what are likely parautochthonous basement units at depth, based on samples from the 2017 C.I.R.I.R drilling campaign. The crystallographic orientations of 725 sets of PDFs in 512 quartz grains in samples from four
P. Struzynska, S. Alwmark, C. Alwmark, M. H. Poelchau, P. Lambert   +4 more
wiley   +1 more source