Results 41 to 50 of about 8,073,677 (124)

Exploring the Sensitivity Limits of Neuronal Current Imaging With MRI and MEG in the Human Brain

Human Brain Mapping, Volume 47, Issue 11, 01 August 2026.
Combined spin‐lock fMRI, MEG, BOLD‐fMRI, and phantom experiments reveal that physiological neuronal magnetic fields lie below the in vivo detection threshold of the current spin‐lock implementations at 3T, defining quantitative sensitivity limits for MR‐based neuronal current imaging. ABSTRACT Conventional BOLD‐fMRI relies on hemodynamic responses that
Milena Capiglioni, Davide Tabarelli, Stefano Tambalo, Federico Turco, Roland Wiest, Jorge Jovicich   +5 more
wiley   +1 more source

A new method to identify and explain sources of precipitation modification, illustrated for the western Netherlands

Quarterly Journal of the Royal Meteorological Society, Volume 152, Issue 778, July 2026 Part A.
This study develops a method to identify the source areas of precipitation events, as illustrated for the western part of the Netherlands. Radar‐based precipitation data are traced back to their source areas and machine‐learning techniques are used to identify hypothesized causes: urban heat, surface roughness, and air pollution. We find that urban and
Jelmer van der Graaff, Gert‐Jan Steeneveld   +1 more
wiley   +1 more source

Boron Coordination in Multicomponent Glasses: Analytical Models and Machine Learning With Uncertainty

International Journal of Applied Glass Science, Volume 17, Issue 3, July 2026.
ABSTRACT Borosilicate glasses are extensively used in a variety of applications from kitchenware to nuclear waste immobilization due to the strong network formed by the Si─O─B bond that makes it resistant to chemical corrosion and gives it a low thermal expansion.
Chloe E. Curry, Mayra Diaz‐Acevedo, Dewei Wang, Sarah I. Allec, James J. Neeway, John D. Vienna, Xiaonan Lu   +6 more
wiley   +1 more source

hydrogo/RFR-codes: RFR-codes v1.0

, 2022
<p>The first release of computational code for the support of the RFR v1.0 dataset.</p ...
Georgy Ayzel
core   +1 more source

Ethical Dilemmas and Moral Distress in Health Emergencies: The Case of the COVID‐19 Pandemic in Spanish Nurses—A Qualitative Study

Nursing Open, Volume 13, Issue 5, May 2026.
ABSTRACT Background The COVID‐19 pandemic created unprecedented ethical challenges for nurses, often culminating in moral distress. Aim The aim of this study was to explore the experiences of Spanish nurses in relation to moral distress and ethical conflicts experienced during the COVID‐19 pandemic. Design Qualitative phenomenological study.
Verónica Tíscar‐González, Marta Bartolomé‐Ruperez, Joan Blanco‐Blanco, Carolina Da Silva‐Caram, Karla Ivonne Mijangos‐Fuentes, Teresa Moreno‐Casbas, MDCOVID‐19 Group, Maria José Menezes‐Brito, Flávia Regina Souza‐Ramos, Janet Mercedes Arévalo‐Ipaniqué, Sergio Oscar Alunni   +10 more
wiley   +1 more source

Hybrid GRA–Machine Learning Framework for Surface and Performance Optimization of Ti49.3Ni50.7 SMA in Biomedical Applications

Engineering Reports, Volume 8, Issue 4, April 2026.
Ti49.3Ni50.7 shape memory alloy is highly biocompatible but difficult to machine due to its complex thermo‐mechanical behavior. An enhanced Wire EDM process was developed using a Taguchi L18 design, GRA, and Random Forest with Bayesian optimization. The optimized parameters achieved a surface roughness of 1.298 μm and a material removal rate of 2.537 ...
Adik M. Takale, Uday A. Dabade, Mukesh Kumar, B. Vinod, Manjunath G. Avalappa, Uttam U. Deshpande, Kishor K. Powar   +6 more
wiley   +1 more source

Long-Term Changes in Invasive Physiological Pressure Indices of Stenosis Severity Following Transcatheter Aortic Valve Implantation

, 2022
BACKGROUND: Patients with severe aortic stenosis frequently have coexisting coronary artery disease. Invasive hyperemic and nonhyperemic pressure indices are used to assess coronary artery disease severity but have not been evaluated in the context of ...
Ahtarovski, Kiril, Tilsted, Hans Henrik, Sørensen, Rikke, Thue Olsen, Niels, De Backer, Ole, Søndergaard, Lars, Engstrøm, Thomas, Joshi, Francis R., Sabbah, Muhammad, Minkkinen, Mikko, Lønborg, Jacob, Holmvang, Lene, Pedersen, Frants, Ole De Backer, Rikke Sørensen, Thomas Engstrøm, Frants Pedersen, Mikko Minkkinen, Kiril Ahtarovski, Lars Søndergaard, Muhammad Sabbah, Francis R. Joshi, Lene Holmvang, Hans-Henrik Tilsted, Niels Thue Olsen, Jacob Lønborg   +25 more
core   +1 more source

Muscle Weakness and the Irisin–BDNF and Oxidative Stress Axis in the 60‐Day Pseudorandomised Controlled AGBRESA Bed Rest Study

Journal of Cachexia, Sarcopenia and Muscle, Volume 17, Issue 2, April 2026.
ABSTRACT Background Muscle atrophy and weakness are among the most detrimental consequences of disuse, microgravity, hospitalisation and ageing. Oxidative modifications of myofibrillar proteins generated by oxidative stress may contribute to the reduced force‐ and power‐generating capacity of skeletal muscles. As part of the 60‐day AGBRESA bed rest (BR)
Alessandra Bosutti, Bergita Ganse, Edwin Mulder, Markus Gruber, Maria Venegas‐Carro, Jochen Zange, Jörn Rittweger, Moritz Eggelbusch, Rob C. I. Wüst, Paul Hendrickse, Hans Degens   +10 more
wiley   +1 more source

Using Machine Learning to Uncover Ecological Mechanisms Controlling Abundance of Phytoplankton Size Classes From Large‐Scale Observations

Global Biogeochemical Cycles, Volume 40, Issue 4, April 2026.
Abstract Phytoplankton size classes (PSCs) and Phytoplankton functional types (PFTs) determine many fundamental biogeochemical processes including nutrient uptake, energy transfer through marine food webs, ocean carbon export, and gas exchange with the atmosphere. Discerning the causes of spatio‐temporal variability of PSCs is a scientific priority for
Sandupal Dutta, Anand Gnanadesikan
wiley   +1 more source

Wearable Multifunctional Epidermal Patch for Continuous and Reliable Blood Pressure Monitoring with Simultaneous Tracking of Physiological Health States

Advanced Functional Materials, Volume 36, Issue 5, 15 January 2026.
A miniaturized multifunctional epidermal patch (MEP) integrates piezoresistive pulse, biogel‐enhanced ECG, skin hydration, and thermal sensors for continuous blood pressure estimation and physiological monitoring. By extracting pulse arrival time (PAT) and employing Random Forest regression, the MEP achieves mean errors of 0.59 ± 5.03 mmHg systolic and
Sudeep Sharma, Gagan Bahadur Pradhan, SeungJae Lim, Sagar Sapkota, YeYoung Lee, Jae Yeong Park   +5 more
wiley   +1 more source