Unraveling the impact of dog‐friendly spaces on urban–wildland pumas and other wildlife
As the most widespread large carnivore on the planet, domestic dogs Canis lupus familiaris can pose a major threat to wildlife, even within protected areas (PAs). Growing human presence in PAs, coupled with increasing pet dog ownership underscores the urgency to understand the influence of dogs on wildlife activity and health.
Alys Granados +3 more
wiley +1 more source
As human‐modified landscape and climate changes proliferate, maintaining biodiversity and understanding the function and quality of available habitat is imperative. As anurans (frogs/toads) such as Pseudacris crucifer, can be an indicator species of habitat quality and ecosystem productivity, studying the anuran community in a mixed‐land use region ...
Brian C. Kron, Karen V. Root
wiley +1 more source
Fuzzy-logic-controlled DVR for enhancing the fault resilience of wind energy conversion systems. [PDF]
Nori AM +5 more
europepmc +1 more source
Heart Rate as an Indicator of Stress in Gotland's Russ Horses
ABSTRACT Animal welfare concerns both the physical and mental wellbeing of animals so the assessment of animals kept in captivity, for example zoos, is important and necessary both legally and ethically. Good welfare is especially vital when breeding endangered species as stress impairs reproductive investment.
Isidora Dundjerovic, Lynne U. Sneddon
wiley +1 more source
Enhancing stability in renewable energy transmission using multi-terminal HVDC systems with grid-forming controls for offshore and onshore wind integration. [PDF]
Shufian A +3 more
europepmc +1 more source
Review on enhancing clinical decision support system using machine learning
Abstract Clinical decision‐making is a complex patient‐centred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, health‐risk assessments, and prior relevant medical cases.
Anum Masood +4 more
wiley +1 more source
Credit‐Driven Adaptive Grouping for Refined Cooperative Multi‐Agent Reinforcement Learning
ABSTRACT Policy heterogeneity is crucial for achieving sophisticated coordination in complex collaborative tasks, which has emerged as one of the key challenges in multi‐agent reinforcement learning (MARL) in recent years. Notably, the grouping paradigm has made remarkable progress in addressing policy heterogeneity.
Yirui Liu +6 more
wiley +1 more source
The impact of virtual synchronous compensator on the transient synchronous stability of renewable energy. [PDF]
Sun F, Chen Y, Wang W.
europepmc +1 more source
Development of Rule-Based Diagnostic Automation Technology for Elevator Fault Diagnosis. [PDF]
Seo S, Lee JJ, Park DH, Choi BK.
europepmc +1 more source
ABSTRACT This study examines the factors influencing producer adoption of cover cropping and no‐till farming, two key carbon sequestration practices, within the context of voluntary carbon credit programmes (CCPs) in Kansas. Using a mixed‐methods survey that combines discrete choice experiments with farm‐level data from 370 producers, we estimate ...
Grant Edward Gardner +2 more
wiley +1 more source

