Results 171 to 180 of about 2,660,815 (249)

Downscaling to small‐volume storage bags supports platelet quality and efficient use of cold‐stored platelets for preclinical studies

Transfusion, EarlyView.
Abstract Background To maximize the utilization of cold‐stored platelets (CSPs) in preclinical research, the use of small‐volume storage bags (mini‐bags) or tubes would allow multiple treatment groups to be investigated from a single component. It is necessary to determine the effect of using downscaled storage formats on CSP quality and function ...
Janhavi Mahajan, Matthew P. Padula, Denese C. Marks, Lacey Johnson   +3 more
wiley   +1 more source

NASA Earth eXchange Hawai'i downscaled climate projections CMIP6 (NEX-HIDCP-CMIP6) dataset. [PDF]

Data Brief
Thrasher B, Brosnan I, Frazier AG, Sanfilippo K, Lucas MP.   +4 more
europepmc   +1 more source

Caloric restriction and aerobic exercise differentially counteract muscle–tendon dysfunction following diet‐induced obesity in C57BL/6J mice

The Journal of Physiology, EarlyView.
Abstract figure legend Diet‐induced obesity induced fibro‐adipogenic remodelling of the muscle–tendon unit, characterized by increased fibrosis, reduced specific force, impaired relaxation kinetics, elevated hysteresis, and reduced aerobic capacity and glucose tolerance.
Leonardo Cesanelli, Petras Minderis, Andrej Fokin, Aivaras Ratkevicius, Ingrida Balnyte, Polzonetti Valeria, Tomas Venckunas, Cameron Hill, Danguole Satkunskiene, Hans Degens   +9 more
wiley   +1 more source

A Framework for Quantifying Diverse Multi‐Hazard Interactions to Enhance Climate Resilience

Climate Resilience and Sustainability, Volume 5, Issue 2, December 2026.
A generalized framework for quantifying multi‐hazard interactions is developed and applied across four European regions. The framework captures regional hazard dependencies and joint probabilities, with methods tailored to different temporal scales. Results indicate increasing multi‐hazard event frequency under future climate scenarios, highlighting ...
Mohammed Sarfaraz Gani Adnan, Christopher J. White, Eleonora Perugini, Esther Hlíðar Jensen, Talfan Barnie, Natalia Castillo, Marcello Arosio, Enrico Tubaldi, Matthew James Roberts, Marco Gaetani, Younghwa Cha, Frederiek Sperna Weiland, Mario Martinelli, John Douglas   +13 more
wiley   +1 more source

Hybrid spatial-field attention network for meteorological data downscaling. [PDF]

Sci Rep
Gao S, Ren Y, Lin L, Zhang Z, Wang J, Yu H, Zhao H.   +6 more
europepmc   +1 more source

HierAnom‐Path: Zero‐Shot Rare Cancer Detection in Histopathology via Hierarchical Foundation Model Adaptation

Computational and Systems Oncology, Volume 6, Issue 1, December 2026.
ABSTRACT Rare cancers collectively represent 20%–25% of all malignancies yet yield fewer than 50 annotated whole‐slide images (WSIs) per subtype in publicly available archives, rendering supervised deep learning inapplicable. We present HierAnom‐Path, to the best of our knowledge, the first framework for zero‐shot rare cancer anomaly detection in ...
Noora Saleem Jumaah, Mohanad Sameer Jabbar, Saif H. Alwaeli, Noor Ayesha, Mohamed Babiker A. Mohamed, Muhammad I. Khan   +5 more
wiley   +1 more source

Extreme Event Aware (η-) Learning. [PDF]

Nat Commun
Chang K, Sapsis TP.
europepmc   +1 more source

Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang, Daeun Choi, Damian Adams, Jaehyun Ahn, Kelly Balmant, Raquel Dias, Carlos D. Messina, Rafael Muñoz‐Carpena, Vance M. Whitaker, Haipeng Yu, Ziwen Yu, Chang Zhao, Changying Li   +12 more
wiley   +1 more source

INDRA-CMIP6: Indian subcontinent high resolution Downscaled pRecipitation and Air temperature data from CMIP6. [PDF]

Sci Data
Mandal J, Sardana D, Raghuvanshi AS, Agarwal A.   +3 more
europepmc   +1 more source

Why Are Physics‐Based Models Taking so Long to Run?

Perspectives of Earth and Space Scientists, Volume 7, Issue 1, December 2026.
Abstract Physics‐based models provide a reliable and interpretable framework based on established physical laws, allowing them to deal with unforeseen future conditions much better than statistical data‐driven methods. Physics‐based models in Earth science (e.g., climate models, hydrological models, and groundwater models) are commonly used for ...
Xiuquan Wang
wiley   +1 more source