Results 51 to 60 of about 426 (122)

A Scalable Method for Cavity‐Enhanced Solid‐State Quantum Sensors

Advanced Science, Volume 13, Issue 10, 18 February 2026.
Photoluminescent color centres in diamond and hexagon boron nitride are powerful nanoscale solid‐state quantum sensors. Methods for integrating them into macroscopic structures that improve their sensitivity are highly sought after. This study demonstrates a low‐cost and scalable method for the fabrication of quantum sensor‐doped thin‐film cavities ...
Daniel J. Tibben, Roy Styles, David A. Broadway, Jean‐Philippe Tetienne, Daniel E. Gómez, Philipp Reineck   +5 more
wiley   +1 more source

Warming, elevated CO2 and drought in combination accelerates plant phenological shifts in managed montane grassland

Journal of Ecology, Volume 114, Issue 2, February 2026.
Plant phenology is key to plant and ecosystem functioning. Its responses to multiple interacting global change factors are still poorly understood. In a managed montane grassland, warming and elevated CO2 accelerated the spring development of species, while summer drought constrained their regrowth after cutting and advanced senescence.
Lumnesh Swaroop Kumar Joseph, Andreas Schaumberger, Michael Bahn   +2 more
wiley   +1 more source

Interpretable Machine Learning for Survival Analysis

Biometrical Journal, Volume 67, Issue 6, December 2025.
ABSTRACT With the spread and rapid advancement of black box machine learning (ML) models, the field of interpretable machine learning (IML) or explainable artificial intelligence (XAI) has become increasingly important over the last decade. This is particularly relevant for survival analysis, where the adoption of IML techniques promotes transparency ...
Sophie Hanna Langbein, Mateusz Krzyziński, Mikołaj Spytek, Hubert Baniecki, Przemysław Biecek, Marvin N. Wright   +5 more
wiley   +1 more source

Explainable Artificial Intelligence in Drug Discovery: Bridging Predictive Power and Mechanistic Insight

WIREs Computational Molecular Science, Volume 15, Issue 5, September/October 2025.
Explainable AI bridges high‐performance predictive models with mechanistic understanding, enabling transparency and trust in drug discovery workflows. ABSTRACT Explainable artificial intelligence (XAI) is increasingly essential in drug discovery, where interpretability and trust must accompany predictive accuracy. As deep learning models, particularly,
Antonio Lavecchia
wiley   +1 more source

Airway Pressure Release Ventilation for lung protection in acute respiratory distress syndrome: an alternative way to recruit the lungs [PDF]

Purpose of reviewAirway pressure release ventilation (APRV) is a modality of ventilation in which high inspiratory continuous positive airway pressure (CPAP) alternates with brief releases. In this review, we will discuss the rationale for APRV as a lung
Rose, Louise, Andrews, Penny L, Camporota, Luigi, Nieman, Gary F, Habashi, Nader M   +4 more
core   +1 more source

Plasmon–exciton polaritonic emission lifetime dynamics under strong coupling

Nanophotonics, Volume 14, Issue 14, Page 2485-2493, July 2025.
Abstract In this study, we investigate the contribution of resonant and non‐resonant excitation conditions on the polariton decay dynamics of strongly coupled rhodamine 6G (R6G) and surface plasmon polariton (SPP). We showed proof of strong coupling between SPP and R6G exciton from the dispersion relations measured by total internal reflection ...
Povilas Jurkšaitis, Justina Anulytė, Evita Spalinskaitė, Ernesta Bužavaitė‐Vertelienė, Vytautas Žičkus, Dovydas Banevičius, Karolis Kazlauskas, Zigmas Balevičius   +7 more
wiley   +1 more source

Pulse‐by‐pulse transient thermal deformation in crystal optics under high‐repetition‐rate FEL

Journal of Synchrotron Radiation, Volume 32, Issue 1, Page 57-71, January 2025.
Complete pulse‐by‐pulse transient time‐domain modeling of the thermal deformation of crystals under high‐repetition‐rate high‐pulse‐energy free‐electron laser load can help define acceptable operational parameters across the pulse‐energy repetition‐rate phase space.
Lin Zhang, Jerome Hastings, Zhirong Huang, Jingyi Tang, Diling Zhu   +4 more
wiley   +1 more source

The LTAR Cropland Common Experiment at the Texas Gulf

Journal of Environmental Quality, Volume 53, Issue 6, Page 1017-1024, November/December 2024.
Abstract Texas Gulf is one of the 18 regional sites that is part of the USDA‐ARS Long‐Term Agroecosystem Research (LTAR) network and focuses on cropland and integrated grazing land research in Central Texas, addressing challenges posed by soil characteristics, climate variability, and urbanization. This paper provides brief site descriptions of the two
Jenifer L. Yost, Douglas R. Smith, Kabindra Adhikari, Jeffrey G. Arnold, Harold P. Collins, K. Colton Flynn, Chad Hajda, Dorothy Menefee, Binayak P. Mohanty, Merilynn C. Schantz, Kelly R. Thorp, Michael J. White   +11 more
wiley   +1 more source

A Conceptual Framework for Human‐Centric and Semantics‐Based Explainable Event Detection

WIREs Data Mining and Knowledge Discovery, Volume 14, Issue 6, November/December 2024.
A conceptual framework for human‐centric and semantic‐based explainable event detection (HUSEED). ABSTRACT Explainability in the field of event detection is a new emerging research area. For practitioners and users alike, explainability is essential to ensuring that models are widely adopted and trusted.
Taiwo Kolajo, Olawande Daramola
wiley   +1 more source

Explainable artificial intelligence in breast cancer detection and risk prediction: A systematic scoping review

Cancer Innovation, Volume 3, Issue 5, October 2024.
This systematic review is carried out using the preferred reporting items on systematic reviews and meta‐analysis (PRISMA) guideline in three steps as follows: Step 1: Identifying studies (total of 193 studies were initially included). Step 2: Selecting the studies (total of 30 articles met the inclusion criteria for our comprehensive review).
Amirehsan Ghasemi, Soheil Hashtarkhani, David L. Schwartz, Arash Shaban‐Nejad   +3 more
wiley   +1 more source