Results 211 to 220 of about 16,976 (247)
Abstract Bridging dementia research and policy remains a global challenge, with gaps in governance, capacity, data infrastructure, and contextual fit limiting the development and implementation of effective national dementia plans. To inform this issue, the Health Policy Professional Interest Area of the International Society to Advance Alzheimer's ...
Juliana Souza‐Talarico +17 more
wiley +1 more source
We introduce an efficient open‐source numerical framework for the automated search for the placements of injection and production wells in hot fracture‐controlled reservoirs that sustainably optimize geothermal energy production. We model the reservoirs as discrete fracture networks in 3D. The fluid flow and heat transport in the reservoirs are modeled
Ondřej Pártl, Ernesto Meneses Rioseco
wiley +1 more source
On the Performance and Convergence of PINNs for Problems in Linear Elasticity
ABSTRACT Physics‐informed neural networks (PINNs) have emerged as a promising approach for solving partial differential equations by embedding physical laws directly into the loss function. However, their performance characteristics for problems in computational mechanics remain insufficiently understood.
Dipraj Kadlag +3 more
wiley +1 more source
Interventions to Reduce Child Poverty and Its Determinants: A Rapid Overview of Reviews
ABSTRACT Despite evidence for various child poverty reduction strategies, there is ambiguity regarding the most effective types to inform policy. Thus, we conducted an overview of reviews to systematically identify, appraise, and synthesize interventions for reducing childhood poverty in high‐income country settings.
Omar Dewidar +9 more
wiley +1 more source
Values and visibility: How CEO activism influences private and public consumer choices
Abstract Research Summary Firms' and executives' stances on controversial issues affect consumer behavior. This “political consumerism” might be motivated by ideology and a desire to signal to peers, and thus vary for private and public purchases. We conduct an experiment with 1198 consumers to study how purchase visibility affects responses to CEO ...
Young Hou, Christopher Poliquin
wiley +1 more source
Deep Learning for Satellite‐Based Forest Disturbance Monitoring: Recent Advances and Challenges
Overview of key research challenges in forest disturbance monitoring, including the detection of disturbances of varying severity, the attribution of disturbance agents, and the development of models capable of generalizing across regions. ABSTRACT Climate change and land use pressures are intensifying forest disturbances in many world regions, as ...
Carolina Natel +3 more
wiley +1 more source
ABSTRACT The milling process significantly influences the surface integrity of metallic components through machining induced near‐surface residual stresses. Modern hybrid machining processes, such as ultrasonic‐assisted milling (USAM), offer the potential to induce beneficial near‐surface compressive residual stresses compared to the near‐surface ...
Lorenz Engelking +5 more
wiley +1 more source
Shaping future forests: how can ecophysiology support climate‐smart forest management?
Summary Climate change, particularly the associated increase in extreme events and disturbances, threatens the numerous environmental, social, and economic benefits that forests provide, both locally and globally. Heat and drought pose significant risks to forest ecosystems; the anticipated future climate is expected to exacerbate this trend ...
Arthur Gessler +18 more
wiley +1 more source
Reciprocal Quantum Electrodynamics With Bound States in the Continuum
Quantum electrodynamics accurately describes all known forms of modern optics and photonics regarding interactions between photons and matter. In this context, bound states in the continuum with photon confinement in momentum space are envisioned to open an exciting branch called reciprocal quantum electrodynamics. It complements the cavity counterpart
Shoufeng Lan
wiley +1 more source
Neuromorphic Motor Control with Electrolyte‐Gated Organic Synaptic Transistors
Electrolyte‐gated organic synaptic transistor (EGOST)‐based neuromorphic motor control systems integrate sensing, processing, and actuation by mimicking biological synapses. With advantages such as low power consumption, tunable synaptic plasticity, and mechanical flexibility, they are emerging as next‐generation core technologies for real‐time ...
Sung‐Hwan Kim +3 more
wiley +1 more source

