Results 21 to 30 of about 5,169 (173)

When expectation fails, towards a self-correcting inference system [PDF]

, 1980
Contextual understanding depends on a reader's ability to correctly infer a context within which to interpret the events in a story. This "context-selection problem" has traditionally been expressed in terms of heuristics for making the correct initial ...
Granger.Jr, Richard H.
core   +1 more source

The return of metabolism: biochemistry and physiology of glycolysis

Biological Reviews, EarlyView.
ABSTRACT Glycolysis is a fundamental metabolic pathway central to the bioenergetics and physiology of virtually all living organisms. In this comprehensive review, we explore the intricate biochemical principles and evolutionary origins of glycolytic pathways, from the classical Embden–Meyerhof–Parnas (EMP) pathway in humans to various prokaryotic and ...
Nana‐Maria Grüning, Federica Agostini, Camila Caldana, Johannes Hartl, Matthias Heinemann, Markus A. Keller, Jan Lukas Krüsemann, Costanza Lamperti, Carole L. Linster, Steffen N. Lindner, Julia Muenzner, Jens Nielsen, Zoran Nikoloski, Bettina Siebers, Jacky L. Snoep, Hezi Tenenboim, Bas Teusink, Spencer J. Williams, Mirjam M. C. Wamelink, Markus Ralser   +19 more
wiley   +1 more source

The dangers, directness, and purposes of online collective actions

Political Psychology, EarlyView.
Abstract Most research on online collective action investigates low‐effort, social media‐based actions rather than tactics with highly disruptive potential. To better account for the variety of forms of collective actions that use digital technologies, we conducted an open‐source intelligence search (Study 1a) and an expert consultation survey (Study ...
Catherine G. Lowery, Matthew Edwards, Laura G. E. Smith   +2 more
wiley   +1 more source

Cardiopulmonary function in special operations forces compared to conventional infantry soldiers

Experimental Physiology, EarlyView.
Abstract Fitness is essential to military personnel in general, especially in the special operations forces (SOF), where the demanding tasks require a high level of physical fitness and mental robustness. However, little research has been done on SOF to characterise the putative underlying cardiopulmonary adaptations that distinguish them from ...
Rasmus Syberg Rasmussen, Jakob Solgaard Jensen, Iben Elmerdahl Rasmussen, Jacob Peter Hartmann, Clara Sofie Egeberg, Anna Agnes Lytzen, Klara Nielsen, Malte Lund Adamsen, Mads Fischer, Ronan M. G. Berg   +9 more
wiley   +1 more source

Marine n‐3 Polyunsaturated Fatty Acids Mitigate Obesity Traits Through PRDM16‐Driven Gene–Nutrient Interaction and Spatiotemporal Scale Browning Process

Food Frontiers, Volume 7, Issue 2, March 2026.
This large cohort study of 45,664 participants from the UK Biobank provides strong epidemiological evidence that fish oil use was associated with 12% and 7% lower risks of obesity and high body fat percentage, respectively. Mechanistically, marine n‐3 polyunsaturated fatty acids mitigate obesity traits through PRDM16‐driven gene–nutrient interactions ...
Xiaohui Liu, Haoyu Li, Youyou Zheng, Xiaoqian Chen, Xuzhi Wan, Pan Zhuang, Wei Jia, Jianxin Yao, Haoyin Liu, Hongbo Shi, Xunan Lin, Yu Zhang, Jingjing Jiao   +12 more
wiley   +1 more source

Improved setup for producing slow beams of cold molecules using a rotating nozzle

, 2009
Intense beams of cold and slow molecules are produced by supersonic expansion out of a rapidly rotating nozzle, as first demonstrated by Gupta and Herschbach.
A. M. Wodtke, A. Slenczka, D. R. Miller, F. Masnou-Seeuws, F. Stienkemeier, H. Pauly, I. W. Smith, M. Mudrich, M. Strebel, R. B. Bernstein, R. Krems, R. Levine   +11 more
core   +1 more source

Influence of Basis Set Composition on Metabolite Quantification of 1H‐MRS at 3 T: Combining In Silico, In Vivo and In Vitro Evidence

NMR in Biomedicine, Volume 39, Issue 3, March 2026.
We use synthetic (Aim 1), human brain (Aim 2) and phantom (Aim 3) data to assess how basis set choice affects Glu, tCr, tNAA and tCho quantification, focusing on the bias–variance trade‐off under varying SNR conditions. Including GABA, GSH, NAAG and glucose improved Glu estimates, reducing bias and variance below 10%.
Polina Emeliyanova, Laura M. Parkes, Caroline Lea‐Carnall, Stephen R. Williams   +3 more
wiley   +1 more source

Frozen Soil Hydrological Processes and Their Effects: A Review and Synthesis

Reviews of Geophysics, Volume 64, Issue 1, March 2026.
Abstract Frozen soils, including seasonally frozen ground and permafrost, are rapidly changing under a warming climate, with cascading effects on water, energy, and carbon cycles. We synthesize recent advances in the physics, observation, and modeling of frozen‐soil hydrology, emphasizing freeze–thaw dynamics, infiltration regimes and preferential flow,
Ying Zhao, Ce Zheng, Alexander Gelfan, Kunio Watanabe, Haojie Liu, Stephanie Wright, Xiaolong Wu, William Quinton, Yi Wang, Shuhua Yi, Yongyong Zhang, Yujie Shi, Wentao Jiao   +12 more
wiley   +1 more source

Optimizing Flood Hazard Zonation and Planning Landscape‐Based Mitigation Measures in Gimba Sub Watersheds, Northeastern Ethiopia: A Comprehensive Approach

Journal of Flood Risk Management, Volume 19, Issue 1, March 2026.
ABSTRACT Flooding remains one of the most critical natural hazards threatening livelihoods, infrastructure, and ecological systems in Ethiopia's highland landscapes. This study presents a rigorously integrated, multi‐criteria flood risk assessment that combines the Analytical Hierarchy Process (AHP) with GIS‐based spatial modeling to delineate ...
Degfie Teku, Tesfaldet Sisay, Alemnew Ali, Amanuel Ayalew   +3 more
wiley   +1 more source

Revealing Deep Learning Model Preferences for Spatio‐Temporal Drivers of Runoff Forecasting: A SHAP‐Based Comparative Study

Journal of Flood Risk Management, Volume 19, Issue 1, March 2026.
ABSTRACT Accurate runoff forecasting is essential for flood prediction and disaster preparedness amid increasing hydrological extremes driven by climate change. While deep learning models offer high efficiency, most interpretability studies focus on single models.
Ziru Yang, Yong Lei, Guoru Huang, Zhaoyang Zeng, Long Qi, Wenjie Chen   +5 more
wiley   +1 more source