Results 211 to 220 of about 196,865 (294)

Contrasting Trends in Cold‐Season Daily Soil Temperature With Climate Warming in Snow‐Affected Settings

Geophysical Research Letters, Volume 53, Issue 2, 28 January 2026.
Abstract Soil temperature is inextricably linked with hydrological and biogeochemical processes. This study analyzes the long‐term minimum soil temperature (TSMIN) trends at 526 stations located in snow‐affected regions of CONUS. Long short‐term memory (LSTM) are implemented to extend TSMIN beyond the observational period, producing long‐term (1981 ...
Mousumi Ghosh, Mukesh Kumar, Martyn P. Clark   +2 more
wiley   +1 more source

Neurosymptomatic Cerebrospinal Fluid Escape Is a Central Nervous System-Focused Form of Antiretroviral Therapy Treatment Failure. [PDF]

Open Forum Infect Dis
Kincer LP, Dravid A, Zhou S, Vercesi R, Spudich S, Gisslén M, Price RW, Cinque P, Joseph SB.   +8 more
europepmc   +1 more source

A ModEx Framework for Watershed Subsurface Investigation With Limited Geophysical Data Using Machine Learning and Hydrologic Modeling

Geophysical Research Letters, Volume 53, Issue 2, 28 January 2026.
Abstract Subsurface heterogeneity influences watershed hydrology strongly but remains difficult to characterize at catchment scales with sparse and costly field data. Geophysical surveys such as electromagnetic induction (EMI) provide local spatial subsurface images yet scaling them to watershed scales and converting EMI‐derived resistivity into ...
Hang Chen, Robin Thibaut, Chunwei Chou, Chen Xiong, Yuxin Wu   +4 more
wiley   +1 more source

The independent prognostic value of brain diffusion tensor imaging in comatose patients after cardiac arrest. [PDF]

Brain Inform
Jia X, Shao R, Li Y, Jia X, Tang Z, Yang Q.   +5 more
europepmc   +1 more source

Large Language Models as Calibration Agents in Hydrological Modeling: Feasibility and Limitations

Geophysical Research Letters, Volume 53, Issue 2, 28 January 2026.
Abstract Large language models (LLMs) represent the forefront of artificial intelligence, exhibiting substantial potential for advancing understanding and reasoning in complex Earth system sciences. Hydrological modeling, essential for water resource management and Earth system knowledge, predominantly relies on traditional calibration paradigms and ...
Zhanliang Zhu, Yehai Tang, Xiongpeng Tang, Jianyun Zhang, Chao Gao, Silong Zhang, Haoting Xu, Tiesheng Guan   +7 more
wiley   +1 more source

Systemic endothelial glycocalyx shedding mediates vascular hyperpermeability after traumatic brain injury. [PDF]

Front Neurol
Vieira de Almeida MC, Zotin MCZ, Miranda CH.   +2 more
europepmc   +1 more source

Modeling Uncertainty With Engression: A Deep Generative Time‐Series Approach

Geophysical Research Letters, Volume 53, Issue 2, 28 January 2026.
Abstract Deep learning enables precise environmental predictions across spatial and temporal scales. However, reliable uncertainty estimation with generative capabilities remains crucial for actionable forecasting and simulation, yet robust quantification methods remain challenging.
Basil Kraft, Steven Stalder, William H. Aeberhard, Nicolás Harrington Ruiz, Nicolai Meinshausen, Xinwei Shen, Lukas Gudmundsson   +6 more
wiley   +1 more source

Neuron-Specific Enolase as a Biomarker for Selected Neurological and Psychiatric Disorders-A Systematic Review of the Literature. [PDF]

Medicina (Kaunas)
Sierakowska A, Niewiadomska E, Łabuda S, Bieniasiewicz A, Roszak M, Łabuz-Roszak B.   +5 more
europepmc   +1 more source

Epigenomics‐guided precision oncology: Chromatin variants in prostate tumor evolution

International Journal of Cancer, Volume 158, Issue 2, Page 314-332, 15 January 2026.
Abstract Prostate cancer is a common malignancy that in 5%–30% leads to treatment‐resistant and highly aggressive disease. Metastasis‐potential and treatment‐resistance is thought to rely on increased plasticity of the cancer cells—a mechanism whereby cancer cells alter their identity to adapt to changing environments or therapeutic pressures to create
Kira Furlano, Tina Keshavarzian, Nadine Biernath, Annika Fendler, Maria de Santis, Joachim Weischenfeldt, Mathieu Lupien   +6 more
wiley   +1 more source

The value of plasma levels of heat shock protein 90α for predicting the treatment efficacy and prognosis of lung cancer. [PDF]

Discov Oncol
Wang B, Ma Y, Zhang Y, Li J, Liu H, Jing N.   +5 more
europepmc   +1 more source