Results 221 to 230 of about 145,926 (311)

Applying Machine Learning Methods to Laser Acceleration of Protons: Synthetic Data for Exploring the High Repetition Rate Regime

Contributions to Plasma Physics, EarlyView.
ABSTRACT Advances in ultra‐intense laser technology have increased repetition rates and average power for chirped‐pulse laser systems, which offer a promising solution for many applications including energetic proton sources. An important challenge is the need to optimize and control the proton source by varying some of the many degrees of freedom ...
John J. Felice, Ronak Desai, Nathaniel Tamminga, Joseph R. Smith, Alona Kryshchenko, Chris Orban, Michael L. Dexter, Anil K. Patnaik   +7 more
wiley   +1 more source

Capitalist Heterotopia & Lost Social Utopia: Documenting Class, Work, and Migration in Post-Communist East-Central European Fiction. [PDF]

Cent Eur
Baghiu S, Olaru O.
europepmc   +1 more source

Alpha, beta and gamma diversity in relatively natural, mixed and transformed landscape scenarios

Ecography, EarlyView.
Biodiversity losses and biotic homogenisation associated with human‐induced land‐cover changes are key issues for ecology. However, the effects of human‐caused land‐use changes on biodiversity change at the landscape scale are not well understood. Combining the PREDICTS global biodiversity database with MODIS satellite‐based land cover from 2001 to ...
Shuyu Deng, Colin M. Beale, Chris D. Thomas   +2 more
wiley   +1 more source

SPARCL1 and NT‐proBNP as biomarkers of right ventricular‐to‐pulmonary artery uncoupling in pulmonary hypertension

ESC Heart Failure, Volume 12, Issue 2, Page 1416-1426, April 2025.
Abstract Aims SPARCL1 was recently identified as a biomarker of right ventricular (RV) maladaptation in patients with pulmonary hypertension (PH), and N‐terminal pro‐brain natriuretic protein (NT‐proBNP) is an established biomarker of RV failure in PH. The present study investigated whether NT‐proBNP and SPARCL1 concentrations are associated with load ...
Oliver Dörr, Stanislav Keranov, Paulina van Wickern, Holger Nef, Christian Hamm, Pascal Bauer, Christian Troidl, Samuel Sossalla, Sandra Voss, Christoph Liebetrau, Manuel J. Richter, Henning Gall, Werner Seeger, Ardeschir Ghofrani, Athiththan Yogeswaran, Khodr Tello   +15 more
wiley   +1 more source

A fairness-aware machine learning framework for maternal health in Ghana: integrating explainability, bias mitigation, and causal inference for ethical AI deployment. [PDF]

BioData Min
Osborne A, Usani K.
europepmc   +1 more source

How Do Citizens Respond to Government Measures in Times of Crisis? Narrative Meaning‐Making of Agency, Responsibility, and Compliance During the COVID‐19 Pandemic in Ecuador

European Journal of Social Psychology, EarlyView.
ABSTRACT Citizens’ responses to policies depend on narrative meaning‐making. Through the lens of the COVID‐19 pandemic in Ecuador, this study addresses calls for increased insights into how processes of responding to government measures function during societal crises and ruptures.
Ella Marie Sandbakken
wiley   +1 more source

Do undergraduate psychology statistics textbooks make connections to their underlying epistemological basis? [PDF]

Front Psychol
Kingston NM, Wilson TD, Quintana R, Peng A.   +3 more
europepmc   +1 more source

On the Applicability of the Advocacy Coalition Framework for Analyzing EU Policy Processes

European Policy Analysis, EarlyView.
ABSTRACT Initially developed for the US context, the Advocacy Coalition Framework (ACF) is increasingly used to analyze policy processes in the EU. But policymaking in EU differs from the US context, why the applicability of ACF in the EU context should be scrutinized.
Fredrik von Malmborg
wiley   +1 more source

Manifold-constrained nucleus-level denoising diffusion model for structure-based drug design. [PDF]

Proc Natl Acad Sci U S A
Liu S, Yan L, Du W, Liu W, Li Z, Guo H, Borgs C, Chayes J, Anandkumar A.   +8 more
europepmc   +1 more source

Video‐based diagnostics supported by artificial intelligence as an opportunity to address the epilepsy diagnostic gap: A narrative review

Epilepsia, EarlyView.
Abstract Despite advancements in epilepsy care, a substantial diagnostic gap persists, particularly in resource‐limited settings. This narrative review explores the potential of video‐based diagnostics augmented by artificial intelligence (AI) to address this gap by enabling earlier and more accessible seizure detection and classification.
Gadi Miron, Robert Terziev, Maximilian Schöls, John McLaren, Tobias Loddenkemper, Jörg Wellmer, Sigrid Mues, Christian Meisel   +7 more
wiley   +1 more source