Results 201 to 210 of about 830,227 (315)

Microplastics from Wearable Bioelectronic Devices: Sources, Risks, and Sustainable Solutions

Advanced Functional Materials, EarlyView.
Bioelectronic devices (e.g., e‐skins) heavily rely on polymers that at the end of their life cycle will generate microplastics. For research, a holistic approach to viewing the full impact of such devices cannot be overlooked. The potential for devices as sources for microplastics is raised, with mitigation strategies surrounding polysaccharide and ...
Conor S. Boland
wiley   +1 more source

Changes in health related quality of life in mothers with inflammatory joint disease from year 2000 to 2020 - a comparative cross-sectional study. [PDF]

Front Glob Womens Health
Koksvik HS, Nilssen I, Jakobsen B, Bjørngaard H, Wallenius M, Grønning K.   +5 more
europepmc   +1 more source

The effect of occupational exposure to welding fumes on trachea, bronchus, and lung cancer: A supplementary analysis of regular occupational exposure and of occasional occupational exposure based on the systematic review and meta-analysis from the WHO/ILO Joint estimates of the work-related burden of disease and Injury

Natalie C. Momen, Marissa G. Baker, Tim Driscoll, Jian Li, Martha Sílvia Martinez-Silveira, Michelle C. Turner, Susana Viegas, Paul J. Villeneuve, Frank Pega   +8 more
openalex   +1 more source

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

Analyses of the organ joint in degenerative joint disease in cranial cruciate experimental rupture model in dogs

, 2017
Rodrigo Viana Sepúlveda
openalex   +1 more source

Whipple disease without joint involvement in a patient with chronic diarrhea and HIV seropositive partner: case report

, 2017
Luís Arthur Brasil Gadelha Farias, Mateus Lavor Lira, Matheus Dias Girão Rocha, Alessandra Marques dos Santos, Terezinha do Menino Jesus Silva Leitão, Evelyne Santana Girão, Jorge Luíz Nobre Rodrigues   +6 more
openalex   +2 more sources

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

Epidemiology of childhood bone and joint disease during the COVID-19 pandemic in New Zealand. [PDF]

Infection
Hunter S, Brown E, Crawford H, Grant C.
europepmc   +1 more source

PNPLA3 rs738409, age, diabetes, sex, and advanced fibrosis jointly contribute to the risk of major adverse liver outcomes in metabolic dysfunction-associated steatotic liver disease

Naga Chalasani, Eduardo Vilar‐Gómez, Rohit Loomba, Katherine P. Yates, Anna Mae Diehl, Brent A. Neuschwander‐Tetri, Srinivasan Dasarathy, Kris V. Kowdley, Norah A. Terrault, Laura Wilson, James Tonascia, Arun J. Sanyal   +11 more
openalex   +2 more sources

Cold Quad‐Modal Nanocomplex for Precise and Quantitative In Vivo Stem Cell Tracking

Advanced Functional Materials, EarlyView.
Multimodal albumin–bismuth sulfide–superparamagnetic iron oxide (ABS) nanocomplexes are developed for stem cell tracking across four different imaging modalities: MRI, MPI, MSOT, and CT. Combining its flexibility with high sensitivity, this quad‐modal imaging agent enables a robust quantification of ABS‐labeled stem cells in vivo.
Ali Shakeri‐Zadeh, Chao Wang, Shreyas Kuddannaya, Saleem Yousf, Jeff W. M. Bulte   +4 more
wiley   +1 more source