Results 31 to 40 of about 9,726,325 (303)

Jensen-SeamanEtAl2004_Homo_Mb.cM.line

, 2018
Jensen-SeamanEtAl2004_Homo_Mb.cM ...
Quiterie Haenel (4334935), Marius Roesti (114168), Daniel Berner (114170), Laurentino, Telma, Haenel, Quiterie, Berner, Daniel, Telma Laurentino (5279702), Roesti, Marius   +7 more
core   +1 more source

Digital Cognitive Phenotyping for Differential Diagnosis and Monitoring in Neurological Conditions

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To assess the utility, accessibility, and equivalence to supervised scales of online cognitive assessment in older individuals with cognitive impairment. Methods Patients with Alzheimer's disease (AD, n = 31), idiopathic normal pressure hydrocephalus (iNPH, n = 26), and traumatic brain injury (TBI, n = 23) completed online cognitive ...
Martina Del Giovane, Valentina Giunchiglia, Michael C. B. David, Magdalena A. Kolanko, William R. Trender, Peter J. Hellyer, Harmeena Kaur, David J. Sharp, Christopher Carswell, Paresh A. Malhotra, Adam Hampshire   +10 more
wiley   +1 more source

Respiratory severity score-guided postnatal systemic corticosteroid therapy for bronchopulmonary dysplasia in extremely preterm infants [PDF]

Clinical and Experimental Pediatrics
Background Bronchopulmonary dysplasia (BPD) is a major complication in extremely preterm (EP) infants. Postnatal systemic corticosteroids reduce inflammation and may help prevent or treat BPD.
Gyeong Eun Yeom, Ju Sun Heo, Baek Sup Shin, Seh Hyun Kim, Seung Han Shin, Ee-Kyung Kim, Han-Suk Kim   +6 more
doaj   +1 more source

Jensen-SeamanEtAl2004_Rattus_Mb.cM.dot

, 2018
Jensen-SeamanEtAl2004_Rattus_Mb.cM ...
Quiterie Haenel (4334935), Marius Roesti (114168), Daniel Berner (114170), Laurentino, Telma, Haenel, Quiterie, Berner, Daniel, Telma Laurentino (5279702), Roesti, Marius   +7 more
core   +1 more source

Supporting AI Readiness Through Digital Workflows in Materials Science

Advanced Engineering Materials, EarlyView.
Digitalization drives innovation in materials science by connecting data silos and turning heterogeneous processes into reusable research pipelines. Across 13 MaterialDigital projects, digital workflows reveal complementary pathways toward AI‐ready materials research, founded on structured data, persistent artifacts, executable orchestration, and ...
Marian Bruns, Lateef Abdul, Stephan Barth, Martin Glauer, Manuel Günther, Fabian Neuhaus, Jan‐Ole Perschewski, Thomas Bjarsch, Henrik Abel, Johannes Bosch, Niklas Meyer, Peter Hofmann, Marc Drechsler, Alexander Dyck, Dhanunjaya Kumar Nerella, Marvin Tegeler, Oleg Shchyglo, Ingo Steinbach, Timo Klecker, Henk Birkholz, Ehsan Borzabadi Farahani, Bernard Fedelich, Cetin Haftaoglu, Tarakeshwar Lakshmipathy, Elena Garcia Trelles, Christoph Schweizer, Reza Darvishi Kamachali, Lukas Koschmieder, Janin Eiken, Markus Apel, Sung‐Min Wi, Jiangdong Zhao, Andreas Fezer, Nicolas Christ, Patrick Schneider, Eldor Urinov, Veit Königer, Volker Knoblauch, Janik Harter, Thomas Seifert, Thitichai Janpheng, Florian Fuchs, Fabian Teichert, Jörg Schuster, Anke Bardehle, Andreas Limper, Ulrich Giese, Carlos Lucke, Mario Beiner, Christoph Gögelein, Lisa Leuchtenberger‐Engel, Christian Hopmann, Felix Wentzien, Heike Wittek, Benjamin Klie, Alexander Röhrs, Ludger Overmeyer, Achraf Atila, Marcel Sadowski, Leopold Talirz, Jan Janssen, Jesper R. Pedersen, Peter Beck, Tejs Vegge, Ivano E. Castelli, Wolfgang Wenzel, Tilmann Hickel, Jörg Schaarschmidt   +67 more
wiley   +1 more source

Universal Battery Capacity Degradation Forecasting Driven by Foundation Models Across Diverse Chemistries and Conditions

Advanced Science, EarlyView.
A unified time‐series forecasting framework learns transferable battery capacity‐degradation patterns from 20 heterogeneous datasets spanning chemistries, formats, temperatures, and cycling conditions. A single model delivers competitive predictions on both known and previously unseen datasets, while physics‐guided representation learning improves ...
Joey Chan, Huan Wang, Zhen Chen, Haoyu Pan, Wei Wu, Zirong Wang, Ershun Pan, Min Xie, Lifeng Xi   +8 more
wiley   +1 more source

The Concept of the Mixing Index

Water Resources Research
Many current measures of mixing, such as the statistics of concentration, the scalar dissipation rate, or dilution index, are based on the dilution of a single component or pseudo‐component. Because of this, they miss the influence of numerous conditions
David A. Benson, Diogo Bolster, Nicholas B. Engdahl   +2 more
doaj   +1 more source

The Jensen effect and functional single index models: Estimating the ecological implications of nonlinear reaction norms [PDF]

The Annals of Applied Statistics, 2020
This paper develops tools to characterize how species are affected by environmental variability, based on a functional single index model relating a response such as growth rate or survival to environmental conditions. In ecology, the curvature of such responses are used, via Jensen's inequality, to determine whether environmental variability is ...
Ye, Zi, Hooker, Giles, Ellner, Stephen P.   +2 more
openaire   +3 more sources

High‐Throughput Screening for Accelerated Oxide Glass Discovery

Advanced Science, EarlyView.
A high‐throughput screening platform is presented that allows for accelerating laboratory glass synthesis by a factor of 102, using multicomponent stereolithographic printing. Automatic sample evaluation is achieved via Raman spectroscopy and similarity analysis without any sample preparation.
Igor Seibel‐Geraschenko, Josef Slowik, Franziska Scheffler, Alexis Duval, N. M. Anoop Krishnan, Lothar Wondraczek   +5 more
wiley   +1 more source

Statistical complexity of cerebral blood velocity dynamics varies across graded arithmetic task demands

Neuroscience Informatics
Increasing cognitive demand is accompanied by task-related cerebral hemodynamic changes but mean and variance alone may not describe their temporal organization.
Héctor Rojas-Pescio, Max Chacón
doaj   +1 more source