Results 121 to 130 of about 203,140 (297)

Robust multi-objective optimization under multiple uncertainties using the CM-ROPAR approach: case study of water resources allocation in the Huaihe River basin [PDF]

Hydrology and Earth System Sciences
Water resources managers need to make decisions in a constantly changing environment because the data relating to water resources are uncertain and imprecise.
J. Zhang, J. Zhang, J. Zhang, D. Solomatine, D. Solomatine, D. Solomatine, Z. Dong   +6 more
doaj   +1 more source

Algorithm‐Defined Muscle Dysmorphia Estimates Across Weighting and Case‐Definition Strategies in a Gender‐Balanced Adult Online Sample

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective Epidemiological evidence on muscle dysmorphia (MD) remains limited, and self‐report algorithm‐defined estimates may depend on sampling and case definitions. We examined how algorithm‐defined MD estimates and exploratory correlates varied across weighting and case‐definition scenarios in a gender‐balanced German online sample.
Christopher Zaiser, Nora M. Laskowski, Georg Halbeisen, Marietta Lieb, Georgios Paslakis   +4 more
wiley   +1 more source

How To Read a Representor

Ergo, An Open Access Journal of Philosophy
Imprecise probabilities are often modelled with representors, or sets of probability functions. In the recent literature, two ways of interpreting representors have emerged as especially prominent: vagueness interpretations, according to which each ...
Edward Elliott
doaj   +2 more sources

Pediatric epilepsy surgery: Global survey of invasive explorations

Epilepsia, EarlyView.
Abstract Objective Invasive presurgical evaluation plays a key role in pediatric epilepsy surgery, particularly in magnetic resonance imaging (MRI)‐negative cases, by guiding resective, disconnective, or ablative procedures. This International League Against Epilepsy (ILAE) Pediatric Epilepsy Surgery Taskforce study provides an updated global overview ...
Georgia Ramantani, Martha Feucht, Dorottya Cserpan, Javier Aparicio, Alexis Arzimanoglou, Fabrice Bartolomei, William Bingaman, Kees P. J. Braun, Richard J. Burman, Dezhi Cao, Roberto Caraballo, Mathilde Chipaux‐Raffo, Thomas Cloppenborg, J. Helen Cross, Arthur Cukiert, Cristine Mella Cukiert, Daniel J. Curry, Luca De Palma, Petia Dimova, Christin Eltze, Dario J. Englot, Johannes M. Nico Enslin, Aria Fallah, Stefano Francione, Deepak Gill, Tove Hallböök, A. Simon Harvey, Hans Holthausen, Sita Jayalakshmi, Yuwu Jiang, Lakshminarayanan Kannan, Matt Lallas, Sandeep Bhagwan Patil, María Ángeles Pérez‐Jiménez, Juan Carlos Pérez‐Poveda, Tom Pieper, Sabine Rona, Victoria San Antonio‐Arce, Jay Shetty, Mary Lou Smith, Piradee Suwanpakdee, Oana Tarta Arsene, Laura Tassi, Martin Tisdall, Manjari Tripathi, Ahsan Moosa Naduvil Valappil, Howard Weiner, Elaine Wirrell, Lixin Cai, Sarah Ferrand‐Sorbets, ILAE Pediatric Epilepsy Surgery Taskforce and Study Group, Carmen Barba, Marcelo Budke, James Butler, Poodipedi Sarat Chandra, Mary Connoly, Sameer Dal, Georg Dorfmüller, Noelle Enright, Siby Gopinath, Aris Hadjinicolaou, Masaki Iwasaki, Thilo Kalbhenn, Kalman A. Katlowitz, Kensuke Kawai, Takayuki Kikuchi, Katarzyna Kotulska‐Jóźwiak, Niklaus Krayenbühl, Martin Kudr, Noritsugu Kunihiro, Cassia Maniquis, Ailsa McLellan, Carolina Munoz Castro, Lino Nobili, Wim Otte, Manas Panigrahi, Veronica Pelliccia, Karl Rössler, Siraruj Sakoolnamarka, Didier Scavarda, Catalina Soto Órdenes, Nicola Specchio, Nigel Peter Symss, TS Dhanya, Olga Teo, Hartlieb Till, Dilşad Türkdoğan, Takehiro Uda, Vrajesh Udani, Shimrit Uliel‐Sibony, Naotaka Usui, Carlos Valera, Lejla Vendegh, Yi Wang, Jithangi Wanigasinghe, Jo Wilmshurst, Oscar Zorro Guio   +96 more
wiley   +1 more source

Scenarios, probability and possible futures [PDF]

This paper provides an introduction to the mathematical theory of possibility, and examines how this tool can contribute to the analysis of far distant futures. The degree of mathematical possibility of a future is a number between O and 1. It quantifies
Minh Ha-Duong
core  

Property Elicitation on Imprecise Probabilities

CoRR
Property elicitation studies which attributes of a probability distribution can be determined by minimizing a risk. We investigate a generalization of property elicitation to imprecise probabilities (IP). This investigation is motivated by distributionally robust optimization and multi-distribution learning.
James Bailie, Rabanus Derr
openaire   +2 more sources

Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges

Epilepsia Open, EarlyView.
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus, Cesar Santana‐Gomez, Ruby G. Escalante, Dominique Duncan, Pedro F. Viana, Giulia Sofia Cereda, Naoto Kuroda, Aristea S. Galanopoulou   +7 more
wiley   +1 more source

Venous blood lactate concentration as a predictor of intestinal viability in horses with acquired indirect inguinal hernia

Equine Veterinary Journal, EarlyView.
Abstract Background Acquired indirect inguinal hernia represents a life‐threatening emergency. Therapeutic decision‐making largely depends on intestinal viability, for which specific predictive parameters (such as venous lactate) have not been evaluated.
Raquel Rivero‐García, Cristina Andreu‐Vázquez, Beatriz Fuentes‐Romero, Pablo Fernández‐Hernández, María Luisa Rodríguez‐Pozo, Ignacio Aguilar Sebastián, Salvador Termes Soto, Mercedes Martínez Gallardo, Manuel Iglesias‐García   +8 more
wiley   +1 more source

Intraoperative monitoring and anaesthetic complications in horses: A secondary analysis of the CEPEF4 multicentre cohort

Equine Veterinary Journal, EarlyView.
Abstract Background CEPEF4 provides the most comprehensive contemporary dataset on perianaesthetic risk in horses. Intraoperative complications, monitoring and American Society of Anesthesiologists (ASA)‐stratified associations with death remain incompletely described.
J. I. Redondo, P. M. Taylor, R. Bettschart‐Wolfensberger, G. M. Johnston, L. Domenech, M. Gozalo‐Marcilla   +5 more
wiley   +1 more source

What Can Providers' Motivations Tell Us About Healthcare Quality?

Health Economics, EarlyView.
ABSTRACT Agency theory suggests that variation in providers' quality of care may be explained by their heterogeneous motivations. We provide novel empirical evidence on the links between different sources of provider motivation and quality of care by combining a unique 4‐year survey dataset on Danish general practitioners' motivations with quality ...
Lucy Margaret Poole, Line Bjørnskov Pedersen, Anne Sophie Oxholm   +2 more
wiley   +1 more source