Results 211 to 220 of about 10,046,523 (395)
Hand, foot, and mouth disease in China, 2008-12: an epidemiological study.
Lancet. Infectious Diseases (Print), 2014 W. Xing +14 more
semanticscholar +1 more source
Advanced Functional Materials, EarlyView.Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz +3 more
wiley +1 more source
Effect of different inactivants and preservatives on the stability of 146S fraction of foot-and-mouth diseases virus. [PDF]
Vet Res ForumTariq M +5 more
europepmc +1 more source
Advanced Functional Materials, EarlyView.The article presents nanomaterial‐integrated fiber neural probes as innovative tools for deep brain molecular sensing, neural stimulation, and temperature monitoring. It examines breakthroughs in SERS‐based biomolecule detection, thermoplasmonic activation, and luminescent thermometry, alongside strategies to overcome stability, specificity, and ...
Di Zheng +5 more
wiley +1 more source
Sensitivity of specimen type for diagnosing foot-and-mouth diseases in cattle using one-step real-time polymerase chain reaction (3D gene). [PDF]
Open Vet JSiswani S +10 more
europepmc +1 more source
Removal of the genome-linked protein of foot-and-mouth disease virus by rabbit reticulocyte lysate [PDF]
, 1981 D. V. Sangar +4 more
openalex +1 more source
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
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 +17 more
wiley +1 more source