Results 191 to 200 of about 46,695 (300)

Scene Investigation from the Sky: Current and Future Uses of Unoccupied Aerial Systems in Forensic Investigations

WIREs Forensic Science, Volume 8, Issue 2, June 2026.
Police drone technology could be utilized to support forensic scene investigations. If the challenges of implementing new technologies can be overcome, drones could improve operational efficiency, interpretation issues and add investigative value in the courtroom. ABSTRACT Unoccupied aerial systems (UAS; otherwise known as Uncrewed Aerial Vehicles (UAV)
Clare Barrett, Sébastien Moret, Denis Werner   +2 more
wiley   +1 more source

How metaverse-enabled digital transformation drives sustainable supply chain innovation: evidence from Pakistan's textile industry. [PDF]

Sci Rep
Abdullah M, Ullah A, Jamal MF, Aldakheel EA, Khafaga DS, Ashraf S, Rasool Z.   +6 more
europepmc   +1 more source

Ground penetrating radar (GPR) methods

, 2012
openaire   +1 more source

Acute‐Phase Interventions After Self‐Harm for Preventing Suicide and Recurrence: A Systematic Review and Meta‐Analysis

Acta Psychiatrica Scandinavica, Volume 153, Issue 6, Page 610-626, June 2026.
ABSTRACT Introduction Suicide risk is markedly elevated following presentation after self‐harm, yet the evidence base for interventions initiated in the immediate post‐presentation period has not been synthesized with specific attention to this high‐risk window. Clarifying which early interventions may reduce adverse outcomes is essential for informing
Guilherme Pimenta Roncete, Luis C. Farhat, Loren Beiram, Bianca Besteti Fernandes Damiano, Craig J. Bryan, Karina L. Ramirez, Euripedes Constantino Miguel, Rodolfo Furlan Damiano   +7 more
wiley   +1 more source

Study on the maximum penetration depth of GPR based on soil electromagnetic properties. [PDF]

Sci Rep
Lu S, Zhao D, Qian J, Zhang Z, Wei B.
europepmc   +1 more source

Clinical Factors Associated With Current Relevance in Allergic Contact Dermatitis: Development of Predictive Models Based on Data From the Spanish Contact Dermatitis Register (REIDAC)

Contact Dermatitis, Volume 94, Issue 6, Page 614-623, June 2026.
This study has shown a moderate performance of the regression model to predict current relevance (AUC = 0.679), although modelling performance has been better for specific allergens (e.g., nickel with an AUC = 0.770). Furthermore, it has identified key predictors, including female gender, specific involved sites (hands, neck, head, legs, feet), and ...
David Pesqué, Francisco Javier Ortiz de Frutos, Francisco Navarro‐Triviño, Tatiana Sanz‐Sánchez, Violeta Zaragoza‐Ninet, Susana Córdoba‐Guijarro, Javier Miquel‐Miquel, Juan Francisco Silvestre‐Salvador, Ricardo González‐Pérez, Inmaculada Ruiz‐González, Pedro Mercader‐García, Esther Serra‐Baldrich, José Manuel Carrascosa‐Carrillo, Fátima Tous‐Romero, Mercedes Rodríguez‐Serna, María Elena Gatica‐Ortega, Carmen Paredes‐Suárez, María Antonia Pastor‐Nieto, Pablo Chicharro, Marta Andreu, Araceli Sánchez‐Gilo, José Juan Pereyra‐Rodríguez, Gemma Melé‐Ninot, Paloma Sánchez‐Pedreño Guillén, Enrique Gómez de la Fuente, Marta Elosua‐González, Fernando Gallardo, Ramon M. Pujol, Ignacio García‐Doval, Leopoldo Borrego, Miguel Ángel Descalzo, Ana M. Giménez‐Arnau   +31 more
wiley   +1 more source

Developing Gaussian process regression, Lasso regression, and Nu-support vector regression models for predicting solubility of exemestane in supercritical CO₂. [PDF]

Sci Rep
Almutairi JA, Malik T.
europepmc   +1 more source

Emerging Machine Learning Strategies for Digital Processing and Additive Manufacturing of Advanced Ceramics

International Journal of Applied Ceramic Technology, Volume 23, Issue 3, June 2026.
ABSTRACT Machine learning (ML) techniques are increasingly being applied to the development and processing of advanced ceramics, enabling predictive design, formulation optimization, and improved control of manufacturing workflows. This review presents an integrated and application‐oriented analysis of ML approaches in ceramic engineering, with ...
Sioney Teixeira Monteiro, Isaac A. T. Monteiro, J. R. Fernandez‐Gamboa, Yurimiler Leyet Ruiz   +3 more
wiley   +1 more source

Towards intelligent air quality forecasting using integrated machine learning framework with variational mode decomposition and catboost feature selection. [PDF]

Sci Rep
Ahmadianfar I, Yaseen ZM, Marhoon HA, Halder B, Tan ML, Kilinc HC, Abba SI, Heddam S, Goliatt L, Demir V, Al-Areeq AM.   +10 more
europepmc   +1 more source

Improving Basin‐Wide Flood Estimation From a Global Hydrological Model Through Spatiotemporal‐Pattern‐Based Machine Learning

Journal of Flood Risk Management, Volume 19, Issue 2, June 2026.
ABSTRACT When estimating future flood events using a global hydrological model (GHM), the large uncertainties associated with general circulation models (GCMs) and bias in the GHM model pose significant challenges. In the meantime, most future flood estimations are conducted only at specific gauge stations due to limited data availability and are ...
Jiaqing Wang, Quan J. Wang, Jianshi Zhao
wiley   +1 more source