Results 181 to 190 of about 141,058 (288)

Enhanced Quantitative Phosphocreatine MR Imaging of Skeletal Muscle Using a Global–Local Two‐Branch Deep Learning Model

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Phosphocreatine (PCr) is an essential marker of muscle metabolism, and accurate quantification of its (fs) and its exchange rate (ksw) is essential for diagnosing various muscular and neuromuscular diseases. Although chemical exchange saturation transfer (CEST) MRI can detect the saturation transfer effect from PCr, quantification of ...
Malvika Viswanathan, Leqi Yin, Yashwant Kurmi, Shuyang Chai, Xiaoyu Jiang, Yuankai Huo, Junzhong Xu, Limin Chen, John C. Gore, Zhongliang Zu   +9 more
wiley   +1 more source

Experimental Verification of Model-Based Wavefront Sensorless Adaptive Optics System for Large Aberrations. [PDF]

Micromachines (Basel)
Yang H, Miao Y, Chen P, Zhang Z, Yan Z.
europepmc   +1 more source

Patterns of wild meat and other protein consumption in the periphery of Salonga National Park, Democratic Republic of the Congo

People and Nature, EarlyView.
Abstract In Central Africa, human activities are severely impacting terrestrial and aquatic wildlife, threatening the food security of millions of people. Accordingly, sustainable use of wildlife is crucial for the nutrition and livelihoods of many rural communities in the region.
Zolo Admettons, Mattia Bessone, Josué Ausse Baraka, Josué Engombe Botomia, Espérance Miezi, Bénédicte Nsilu, Jonathan Nkamisha Mukole, Michel Opelele Omeno, Jean Semeki Ngabinzeke, Barbara Fruth   +9 more
wiley   +1 more source

High-Precision Time Synchronization and Autonomous Maintenance for LEO Satellite Constellations Based on High-Stability Crystal Oscillators. [PDF]

Sensors (Basel)
Mu L, Hu X, Wu M, Li J.
europepmc   +1 more source

The Need for Fundamental Photovoltaics Research to Ensure Energy Security

Progress in Photovoltaics: Research and Applications, EarlyView.
The center of this graphic focuses on the core of this paper—that fundamental research is central to the continued development of the photovoltaic (PV) industry. To the left, we have depictions of what is being studied—PV materials, PV cell structures, and PV module structures.
Rebecca Saive, Gavin Conibeer, Lisanne M. Einhaus, Jean‐François Guillemoles, Koami Soulemane Hayibo, Karin Hinzer, Jacob J. Krich, Martha Lenio, Michael P. Nielsen, Frederick U. Nitta, Ian R. Sellers, Daniel Suchet, Eric Tervo, Tom Tiedje, Jelle Westerhof   +14 more
wiley   +1 more source

Temperature Dependence of Electronic Transport Mechanisms in rGO-Based Photodetectors. [PDF]

Nanomaterials (Basel)
Bonavolontà C, Vettoliere A, Ruggiero B, Granata C, Valentino M.   +4 more
europepmc   +1 more source

Achieving GPT-4o level performance in astronomy with a specialized 8B-parameter large language model. [PDF]

Sci Rep
de Haan T, Ting YS, Ghosal T, Nguyen TD, Accomazzi A, Wells A, Ramachandra N, Pan R, Sun Z.   +8 more
europepmc   +1 more source

Thirty years of glyphosate‐resistant crops and weeds: Current situation and future prospects

Pest Management Science, EarlyView.
Since 1996, when the first glyphosate‐resistant crop was commercialized and the first resistant weed was reported, resistance has expanded globally. This review analyzes emergence patterns across weed species, crops, regions, resistance mechanisms, and herbicides.
Ricardo Alcántara‐de la Cruz, Yure Marin Guidi, Mariana Ramirez‐Castillo, Fernando Storniolo Adegas, Caio Antonio Carbonari, Edivaldo Domingues Velini, Rafael De Prado, Stephen O. Duke   +7 more
wiley   +1 more source

High-resolution in situ imaging reveals size-specific moonlight responses in zooplankton diel vertical migration. [PDF]

Sci Rep
Dickerson AL, Jechow A, Nößler M, Walles TJW, Berger SA, Hölker F, Nejstgaard JC.   +6 more
europepmc   +1 more source

Hybrid physics–data‐driven modeling for sea ice thermodynamics and transfer learning

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Icepack–NN, a machine‐learning‐based hybrid version of the sea‐ice column model Icepack, is developed to correct state‐dependent forecast errors arising from misspecified snow thermodynamics, using neural networks applied online within the physical model.
G. De Cillis, A. Carrassi, J. Brajard, L. Bertino, M. Broccoli, D. Iovino, T.S. Finn, M. Bocquet   +7 more
wiley   +1 more source