Results 131 to 140 of about 386,784 (258)

Challenges and Opportunities for Improved Tuberculosis and HIV Prevention in South America. [PDF]

Open Forum Infect Dis
Quispe-Juli CU, Gallardo-Cartagena JA, Otero L, Andrade BB, Croda J, Cantos VD, Mendoza-Ticona A, Valderrama-Beltrán SL, Sequera G, Huaman MA.   +9 more
europepmc   +1 more source

Weak In‐Plane Ferromagnetism and Electronic Nematicity in the Distorted Triple‐Q Magnetic Phase of Co1/3TaS2

Advanced Materials, EarlyView.
Co1/3TaS2${\rm Co}_{1/3}{\rm TaS}_{2}$ hosts a triple‐Q noncoplanar antiferromagnetic state with coexisting Z3${\rm Z}_3$ electronic nematicity. We report rotational hysteresis observed in both magnetoresistance and magnetic torque, revealing strongly pinned in‐plane weak ferromagnetic moments in the triple‐Q phase and the magnetism‐driven nature of ...
Joonyoung Choi, Woonghee Cho, Pyeongjae Park, Woun Kang, Je‐Geun Park, Younjung Jo   +5 more
wiley   +1 more source

Emerging changes in lake temperature extremes and variability in South America. [PDF]

Clim Change
Dinh DA, Tong Y, Feng L, Fleischmann A, Jennings E, McCarthy V, Jordan S, Woolway RI.   +7 more
europepmc   +1 more source

Middle & South America [PDF]

Nature, 2014
openaire   +2 more sources

High‐Performance Transparent, Deformable, and Recoverable Biomimetic Stevia–PVA Hydrogel Triboelectric Nanogenerator with Machine Learning‐Assisted Motion Recognition

Advanced Materials, EarlyView.
A transparent, deformable stevia–PVA hydrogel triboelectric nanogenerator delivers significantly enhanced mechanical strength and electrical output through biomimetic hydrogen‐bonded networks. Coupled with machine learning–assisted signal recognition, the self‐powered hydrogel enables accurate human‐motion sensing for intelligent wearable and IoT ...
Thien Trung Luu, Bui Minh Quang, Toan Minh Pham, Jinsoo Kim, Kyungwho Choi, Dukhyun Choi   +5 more
wiley   +1 more source

Molluscs from South America to the World: Who and Where Are They? [PDF]

Biology (Basel)
Darrigran G, Agudo-Padrón I, Báez P, Belz CE, Cardoso F, Carranza A, Collado GA, Correoso M, Cuezzo MG, Fabres AA, Fernandez MA, Gomes SR, Gutierrez Gregoric DE, Letelier S, Lodeiros C, Ludwig S, Mansur MC, Oliveira Arruda J, Pastorino G, Penchaszadeh P, Salvador RB, Santos S, Spotorno P, Thiengo S, Vidigal T, Damborenea C.   +25 more
europepmc   +1 more source

Ultrathin Li Metal Anodes: Quantitative Design Principles and Manufacturability Across Liquid and Solid‐State Batteries

Advanced Materials, EarlyView.
Ultrathin lithium metal anodes (≤15 µm) offer a promising route to high‐energy‐density batteries due to their high capacity and low potential. This review presents design principles for ultrathin Li, evaluates fabrication strategies, and discusses challenges in liquid and solid‐state cells.
Cheng Wang, Caoyu Wang, Shuixin Xia, Jodie A. Yuwono, Mingnan Li, Yanqiu Lyu, Ruizhi Zhang, Jun Wang, Jianfeng Mao, Zaiping Guo   +9 more
wiley   +1 more source

Designable van der Waals Crystal for Artificial Neuronal Cell Mimicking

Advanced Materials, EarlyView.
Designable van der Waals crystal has been demonstrated for device‐scale neuronal cell mimicking. The structural similarity between ion‐channel in biological membranes and layered vdW lattices is realized with nano‐crystallization via Ar + H2S plasma sulfurization.
Jinhyoung Lee, Gunhyoung Kim, Dongho Lee, Seowoo Son, Hyunho Seok, Sihoon Son, Hyunbin Choi, Geonwook Kim, Geumji Back, Hyunkyu Kim, Chaerin Park, Junmin Ahn, Seongyun Je, Chaeyoung Im, Junil Cho, Magdalena Grzeszczyk, Seongho Kim, Eunseo Go, Hyunwoo Shim, Donghwan Choi, Muyoung Kim, Hyoeng‐U. Kim, Won‐Jun Jang, Taesung Kim   +23 more
wiley   +1 more source

Soybean genetic engineering in Brazil and South America - A review. [PDF]

Genet Mol Biol
Fuganti-Pagliarini R, Molinari MDC, Kafer JM, Nepomuceno AL, Henning LMM, Brommonschenkel SH, Zanardo LG, Bodanese-Zanettini MH, Rech E.   +8 more
europepmc   +1 more source

Machine Learning Accelerated Computational Design of Bio‐Inspired Catalysts in the Nitrogen Reduction Reaction

Advanced Materials, EarlyView.
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano, Zihan You, Haoran Chen, Qifan Zhong, Rong‐Zhen Liao, Shaoqi Zhan   +5 more
wiley   +1 more source