Results 161 to 170 of about 217,465 (263)

Bridging Lived and Expert Experience: A Qualitative Study Exploring Lived-Experience Experts' and Researchers' Experiences of Public Engagement in Cancer Research. [PDF]

Health Expect
Teodorowski P, Maclin BJ, Miner J, Green JB, Garza DG, Arana M, Duncan E, Figueroa J, Jackson SS, Forbat L.   +9 more
europepmc   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Co-development of a research-to-policy framework for Indonesia's health policy-making: a multiperspective approach. [PDF]

Health Res Policy Syst
Fuady A, Gamalliel N, Sutoyo DA, Ufairah KR, Qorina F, Prathiwi P, Kalaij AGI, Ahsan A, Joarder T, Kurniawan M.   +9 more
europepmc   +1 more source

Physics‐Constrained Constitutive Learning of Rate‐Limiting Timescales for Efficient Hydrogen‐Based Direct Reduction for Green Steel Making

Advanced Science, EarlyView.
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai, Barak Ratzker, Pasquale Cavaliere, Dierk Raabe   +3 more
wiley   +1 more source

Participation of civil society organizations and academia in COVID-19 governance: insights from a six country study. [PDF]

Health Policy Plan
Asthana S, Lin R, Mukherjee S, Phelan AL, Gobir IB, Woo JJ, Wenham C, Husain MM, Shirin T, Govender N, Al Nsour M, Ukponu W, Ihueze AC, Asthana S, Mutare RV, Standley CJ.   +15 more
europepmc   +1 more source

A Global Methane Observation System to Reduce Uncertainty for Anthropogenic and Natural Sources and Sinks for Detecting and Attributing Climate Feedbacks

Advanced Science, EarlyView.
Conceptual illustration of a Global Ecosystem Methane Observing System (GEM‐OS) integrating satellites, aircraft, atmospheric networks, and ecosystem measurements to quantify methane emissions from anthropogenic and natural sources. The multi‐scale observing framework improves source attribution, reduces uncertainty in regional methane budgets, and ...
P. Ciais, S. Peng, J. Chang, F. Li, Q. Zhu, K. Yuan, G. Hugelius, H. Li, Y. Cai, F. Chevallier, K. Tibrewal, E. A. Kort, K. Arndt, J. Watts, B. Buma, N. Besic, P. I. Palmer, H. Cadillo‐Quiroz, E. Euskirchen, M. J. Gondwe, A. Hoyt, R. Jackson, S. Malone, D. Monteverde, S. Natali, M. Ramonet, C. Rey‐Sanchez, L. B. Sagang, E. A. G. Schuur, R. Vargas, R. Varner, Z. Zhang, B. Poulter   +32 more
wiley   +1 more source

The Plant‐to‐Plant Circular Strategy: Coupling Photodegradation and Phytoremediation With Plant‐Based Nanomaterials for Plastic Degradation

Advanced Science, EarlyView.
Plant‐based nanomaterials derived from alfalfa serve as dual‐function catalysts, coupling photodegradation and phytoremediation to degrade polyethylene under UV‐A light and in soil. The nanomaterials work synergistically with alfalfa and soil microbes, achieving efficient plastic breakdown without trophic transfer.
Haoran Liu, Lena Ciric, Yuheng Wang, Ziru Pei, Manpreet Bhatti   +4 more
wiley   +1 more source

An Indicator System for Evaluating Sci-Tech Innovation-Driven Improvement of China's Disease Diagnosis and Treatment Capacity. [PDF]

J Multidiscip Healthc
Xie Y, Guo W, Lin M, Huang X, Lu S, Wang L.   +5 more
europepmc   +1 more source

Trustworthy Multimodal Attention Framework for Creep Rupture Life Prediction Under Data‐Scarce Conditions: A Case Study on IN718

Advanced Science, EarlyView.
An attention‐based multimodal deep learning framework is developed to predict the creep life of Ni‐based superalloys by fusing processing parameters with microstructural micrographs. The model achieves high accuracy (R2 = 0.92), aligns with metallurgical principles by capturing δ‐phase influence, and incorporates uncertainty quantification, offering a ...
Haopeng Lv, Dayong Wu, Ziyuan Rao, Qian Wang, Haikun Ma, Jie Kang, Wang Li, Huicong Dong, Yandong Wang, Zhinan Yang, Ru Su   +10 more
wiley   +1 more source

Assessing the implementation of public policies aimed at addressing the double burden of nutrition in Burundi: perspectives and recommendations. [PDF]

BMC Nutr
Sinzinkayo F, Manga JS, Moubarac JC, Druetz T.   +3 more
europepmc   +1 more source