Results 181 to 190 of about 1,235,706 (276)

A Smart Magnetically Actuated Flip‐Disc Programmable Metasurface with Ultralow Power Consumption for Real‐Time Channel Control

Advanced Functional Materials, EarlyView.
The study proposes a 1‐bit programmable metasurface based on flip‐disc display, named flip‐disc metasurface (FD‐MTS). This new design enables ultralow energy consumption while maintaining coding patterns. It also exhibits high scalability and multifunctional flexibility.
Jiang Han Bao, Che Liu, Jia Cheng Li, Zhen Hao Fu, Yi Su Huang, Si Qi Huang, Lei Zhang, Jian Wei You, Tie Jun Cui   +8 more
wiley   +1 more source

Dual‐Functional Additive Regulating Zn2+ Solvation Structure and (002) Plane‐Oriented Deposition for Dendrite‐Free Zn Anodes

Advanced Functional Materials, EarlyView.
Sulfosalicylic acid (SSA) is introduced as a bifunctional additive for Aqueous zinc‐ion batteries. SSA reconstructs the solvation structure of Zn2+ through the synergistic effects of its multiple functional groups, suppressing side reactions while selectively promoting Zn (002) deposition to prevent dendrite formation.
Le Gao, Ni Wang, Xingchen Xie, Liangkui Sun, Li Zhong, Wangbin Ding, Yushuang Tian, Sridhar Komarneni, Wencheng Hu   +8 more
wiley   +1 more source

Johne's Disease Control in Beef Cattle: Balancing Test-and-Cull Strategies with Economic and Epidemiological Trade-Offs. [PDF]

Vet Sci
Rosengren L, Roche SM, Larson K, Waldner CL.   +3 more
europepmc   +1 more source

Joint Control of Radiated and Surface Waves via Space‐Time Coding Metasurfaces

Advanced Functional Materials, EarlyView.
A unified space‐time coding metasurface platform enables simultaneous control of radiated and surface‐confined waves across multiple harmonics. Demonstrated functionalities include multi‐frequency beam shaping; surface‐wave excitation, and hybrid multiplexing.
Zihao Dai, Yi Ning Zheng, Lei Zhang, Xiao Qing Chen, Giuseppe Castaldi, Tie Jun Cui, Vincenzo Galdi   +6 more
wiley   +1 more source

Expanded voluntary counselling and testing services in Türkiye: insights from an HIV model. [PDF]

BMC Public Health
Erdogan ZM, Yaylali E.
europepmc   +1 more source

Integrative Approaches for DNA Sequence‐Controlled Functional Materials

Advanced Functional Materials, EarlyView.
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo, Ewa Anna Oprzeska‐Zingrebe, Mariana Kozlowska, Lennart Hilbert, Iliya D. Stoev   +4 more
wiley   +1 more source

Viral haemorrhagic septicaemia virus, infectious haematopoietic necrosis virus and HPR-deleted infectious salmon anaemia virus - Risk of introduction in free areas through fertilised eggs and gametes. [PDF]

EFSA J
EFSA Panel on Animal Health and Welfare (AHAW), Nielsen SS, Alvarez J, Boklund A, Dippel S, Figuerola J, Herskin MS, Michel V, Miranda Chueca MA, Nannoni E, Nonno R, Riber AB, Ståhl K, Stegeman JA, Thulke HH, Tuyttens F, Winckler C, Christiansen DH, Olesen NJ, Rimstad E, Toffan A, Vendramin N, Papaleo S, Preite L, Baldinelli F, Dórea F.   +25 more
europepmc   +1 more source

Droplet Triboelectrification on Liquid‐Like Polymer Brushes

Advanced Functional Materials, EarlyView.
This work investigates the triboelectrification of water droplets on polymer brush‐coated surfaces exhibiting minimal contact line pinning. Such surfaces enable the systematic study of electrode patterning and controlled changes in droplet contact area.
Mohammad Soltani, Adel Malekkhouyan, Araz Rajabi‐Abhari, Behrooz Khatir, Ning Yan, Kevin Golovin   +5 more
wiley   +1 more source

Polygenic risk scores in routine genetic diagnostics: what lies ahead? [PDF]

J Community Genet
Lauffer P, van Weelden W, van Haelst MM, Jansen PR.   +3 more
europepmc   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source