Humanitarian funding contraction and the risk of cost-related forgone care: a proposed financial-protection transition framework for internally displaced communities in Mogadishu, Somalia. [PDF]
Siyad AO, Hassan AM.
europepmc +1 more source
Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica +38 more
wiley +1 more source
Can long-term care insurance pilots promote urban industrial structure upgrading? Evidence from a quasi-natural experiment using the China Family Panel Studies. [PDF]
Li J, Chen L.
europepmc +1 more source
Benchmarking Data‐Driven Control of Octopus‐Inspired Soft Arms in Underwater Environment
Underwater soft robots present safe, compliant interaction, yet reproducible control remains scarce. This work presents an open benchmark for octopus‐inspired arms: a smooth, velocity‐diverse data‐collection scheme produces a compact dataset to train a vanilla policy.
Muhammad Sunny Nazeer +6 more
wiley +1 more source
Bridging policy and practice: exploring mental health assets in varsity athletes and non-athletes in Canada. [PDF]
Malcolm J, Sullivan P.
europepmc +1 more source
Fabrication shapes soft robot performance, but benchmarking data and selection guidelines remain scarce. We fabricate silicone actuators using two molding techniques and three mold types, characterizing them with cycle testing, microscopy, profilometry, and 3D imaging. Applying our lab‐scale, soft robotics‐specific fabrication evaluation criteria shows
Charlotte M. Folinus +3 more
wiley +1 more source
Financial Cost Analysis of DREAMS Clinic-Based and Community Programs in Two Provinces of Mozambique, October 2022 to June 2023. [PDF]
Songane M +8 more
europepmc +1 more source
Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne +5 more
wiley +1 more source
Optimizing Multicomponent Interventions to Improve Child Mental Health Following Reintegration From Institutions: Protocol for a Factorial Randomized Trial. [PDF]
Ismayilova L +10 more
europepmc +1 more source

