Results 231 to 240 of about 160,482 (313)

A Multidimensional Assessment of Food Security in Low- and Middle-Income Countries: System Performance and Interdimensional Coordination. [PDF]

Nutrients
Li N, Song X, Liu M, Hao Y, Liu J, Liu Z, Zhang Y, Wang M, Ren M.   +8 more
europepmc   +1 more source

Programmable 3D Photovoltaics via Mechanically Origami‐Coded Interlocked 3D Kirigami and Nano‐Root Anchored AgNWs–In–Ga Multiphasic Alloy Conductor

Advanced Materials, EarlyView.
Mechanically origami‐coded 3D kirigami photovoltaics convert a single extension–release cycle into deterministic self‐folding, reconfiguring planar solar cells into programmable 3D modules. Distinct coding strategies enable either ultrahigh stretchability (500% system strain) or ultrahigh initial effective areal coverage (225%).
Seok Joon Hwang, Jiwon Ryu, Byungsoo Kang, Injong Oh, Dae‐Hee Cho, YoungHoi Cho, Seung S. Lee, Dong Hoe Kim, Deokjae Choi, Gee Yeong Kim, Heesuk Jung, Taehee Kim, Hyeonggeun Yu, Seungjun Chung, Byoung Koun Min, Phillip Lee   +15 more
wiley   +1 more source

From Harvest to Health: A Systems-Based Evaluation of FarmsSHARE's Impact on Nutrition in North Carolina. [PDF]

J Hum Nutr Diet
Hege A, Schier H, Grant J, Walker D, McCann M.   +4 more
europepmc   +1 more source

A Super‐Adhesive Air Filter With Capillarity‐Mediated Spontaneous Particle Absorption via Dynamic Bond Exchange

Advanced Materials, EarlyView.
We address the inherently weak particle adhesion of conventional air filters by coating a dynamically crosslinked adhesive layer that delivers capillarity‐driven strong adhesion and particle absorption mediated by dynamic bond exchange. The resulting enhancement in particle adhesion enables efficient ultrafast (up to 20 m s−1) and omnidirectional ...
Junyong Park, Hyeri Jeon, Hyunwoong Park, Ji Min Lee, Yeomyung Yoon, Gyeong Hwan Choi, Sazzadul A. Rahat, Dong Wook Lee, Sohdam Jeong, Jonathan T. Pham, Chae Bin Kim, Sanghyuk Wooh   +11 more
wiley   +1 more source

Assessing the Alignment of Long-Term Care Insurance Benefits and Service Provision: Evidence from Shandong, China and Implications for Implementation Risk. [PDF]

Risk Manag Healthc Policy
Han Z, Wang X, Ma H, Qu H.
europepmc   +1 more source

Advancing Lithium–Oxygen Batteries: Pioneering Cathode Catalyst Innovation and Artificial Intelligence‐Driven Design Paradigms

Advanced Materials, EarlyView.
This review summarizes the principles and challenges of nonaqueous lithium‐oxygen batteries and recent advances in cathode catalysts, including carbon‐based materials, metals, oxides, sulfides, nitrides, carbides, and redox mediators. It highlights emerging design strategies and artificial intelligence‐driven approaches, emphasizing data‐assisted ...
Yuqing Yao, Chongyang Hao, Karol Viviana Mejia‐Centeno, Malik Dilshad Khan, Shang Wang, Longqiu Li, Yanhong Tian, Andreu Cabot, Qing Sun   +8 more
wiley   +1 more source

The Effect of Food Value Chain Interventions on Food Security in Sub-Saharan Africa: A Systematic Review and Meta-Analysis. [PDF]

Food Sci Nutr
Renzaho AMN, Abdulai R, Rahaman KS, Das SK, Noor R, Chitekwe S.   +5 more
europepmc   +1 more source

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

Advanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung, Jiaxiang Yi, Hieu Nguyen‐Duc, Tien Nu Hoang Lo, Weili Zhao, Chaoqun Dong, Fabien Sorin, Baris Caglar, Lei Wei, Tung Nguyen‐Dang   +9 more
wiley   +1 more source

The equity catastrophe: how securitized financing collapses essential care during health crises. [PDF]

Health Aff Sch
Bai-Sesay AU, Musa J, Sesay DKD.
europepmc   +1 more source

Deep Learning Inverse Design of Phase‐Change Reconfigurable Terahertz Metadevices for Multidimensional Secure Communication

Advanced Materials, EarlyView.
A deep learning inverse‐design framework is established to create versatile reconfigurable terahertz metadevices. By synergizing deep learning with phase‐change materials, this approach enables on‐demand customization of multidimensional electromagnetic responses.
Yisheng Dong, Xieyu Chen, Aarthy Nagarajan, Yi Yang, Zhihao Wang, Rui Yu, Chuang Zheng, Chunmei Ouyang, Xueqian Zhang, Tun Cao, Ranjan Singh, Zhen Tian   +11 more
wiley   +1 more source