Results 101 to 110 of about 1,116,663 (238)

Monitoring wildlife health for diseases with visible signs by integrating camera traps with marked individuals

Conservation Biology, EarlyView.
Abstract Monitoring wildlife health is essential for conservation and management, wildlife and livestock welfare, and public health in a One Health framework. Yet, wildlife health monitoring often requires long‐term fieldwork and intensive sampling, which can be costly or logistically challenging, especially for remote, rare, or elusive populations. To
Jonathan Tichon, Roi Lapid, Roni King, Elyasaf Freiman, Orr Spiegel, Erez Baruchi, Aviam Atar, Shirli Bar‐David, David Saltz   +8 more
wiley   +1 more source

An Exploration of the Inter‐Sectional Identity of Black Female Leaders in the UK: A Shotterian Study

Gender, Work &Organization, EarlyView.
ABSTRACT This study investigates the experience of Black female leaders in UK business and the narratives of their lived experience of marginalization. Drawing principally on the rather small UK‐focused literature on this topic as context, as well as some of the much larger international literature, methodologically we use the approach to qualitative ...
Rita G. Klapper, Paul J. Upham, Sven Kuenzel   +2 more
wiley   +1 more source

In Situ Colloidal Activated Carbon for PFAS Remediation in Groundwater: Principles, Performance Expectations, and Lessons from the First Decade

Groundwater Monitoring &Remediation, EarlyView.
Abstract Injectable colloidal activated carbon (CAC) has been commercially used to remediate per and polyfluoroalkyl substances (PFAS) in groundwater since 2016. The basis of the technology is enhanced PFAS retention within the aquifer from engineered increases in aquifer‐matrix sorptivity (“PFAS enhanced retention”), with re‐equilibration from the ...
Jeremy Birnstingl
wiley   +1 more source

Performance of selection hyper-heuristics on the extended HyFlex domains [PDF]

, 2016
Selection hyper-heuristics perform search over the space of heuristics by mixing and controlling a predefined set of low level heuristics for solving computationally hard combinatorial optimisation problems.
Ender Özcan, Jackson, Warren G., Kheiri, Ahmed; id_orcid, Kheiri, Ahmed, Alhanof Almutairi, Özcan, Ender, Ahmed Kheiri, Warren G. Jackson, Almutairi, Alhanof   +8 more
core   +1 more source

Evolvability Metric Estimation by a Parallel Perceptron for On-Line Selection Hyper-Heuristics

IEEE Access, 2017
Online hyper-heuristic selection is a novel and powerful approach to solving complex problems. This approach dynamically selects, based on the state of a given solution, the most promising operator (from a pool of operators) to continue the search ...
Jorge A. Soria-Alcaraz, Andres Espinal, Marco A. Sotelo-Figueroa   +2 more
doaj   +1 more source

Advancing a relational perspective on leadership between neurotypical leaders and neurodivergent followers: An integrated systematic review and research agenda

International Journal of Management Reviews, EarlyView.
Abstract Leaders are widely positioned as cornerstones of neurodiversity inclusion within research and practice. Despite this, the management discipline remains plighted by lack of cohesive understanding regarding leadership in the context of neurodiversity—an issue only exacerbated by the fragmented nature of extant interdisciplinary research.
Mya Kirkwood, Laura Radcliffe, Joanne Lyubovnikova, Lilian Otaye‐Ebede   +3 more
wiley   +1 more source

A unified formulation for home healthcare routing and scheduling problems

International Transactions in Operational Research, EarlyView.
Abstract Home Healthcare is an essential component of healthcare systems, where caregivers visit patients' homes to deliver services. While presenting advantages with respect to institutional care, such as being cost‐effective and alleviating family burdens, it presents challenges in scheduling and routing caregivers efficiently.
Sara Ceschia, Francesca Da Ros, Luca Di Gaspero, Simona Mancini, Vittorio Maniezzo, Roberto Montemanni, Roberto Maria Rosati, Andrea Schaerf   +7 more
wiley   +1 more source

Hyper-heuristics for grouping problems [PDF]

Grouping problems are hard to solve combinatorial optimization problems which require partitioning of objects into a minimum number of subsets while another additional objective is simultaneously optimized.
Elhag, Anas
core  

Deep reinforcement learning for multi‐restart metaheuristics: an environment design for a hybrid of unbiased exploratory search and covariance matrix adaptation evolution strategy

International Transactions in Operational Research, EarlyView.
Abstract Multi‐restart metaheuristics can be highly effective for complex optimization problems, yet their performance depends critically on how restarts and algorithmic parameters are selected. This paper introduces a reinforcement learning approach for managing restart‐level decisions and parameter configurations in the UES–CMA‐ES hybrid ...
Antonio Bolufé‐Röhler, Bowen Xu
wiley   +1 more source

Evaluating Large Language Model‐Assisted Emergency Triage: A Comparison of Acuity Assessments by GPT‐4 and Medical Experts

Journal of Clinical Nursing, EarlyView.
ABSTRACT Aim To evaluate the accuracy of the Emergency Severity Index (ESI) assignments by GPT‐4, a large language model (LLM), compared to senior emergency department (ED) nurses and physicians. Method An observational study of 100 consecutive adult ED patients was conducted. ESI scores assigned by GPT‐4, triage nurses, and by a senior clinician. Both
Gal Ben Haim, Mor Saban, Yiftach Barash, David Cirulnik, Amit Shaham, Ben Zion Eisenman, Livnat Burshtein, Orly Mymon, Eyal Klang   +8 more
wiley   +1 more source