Results 221 to 230 of about 377,584 (282)
Engineering Microbial Particles for Next‐Generation Biomedical Platforms
Microbe‐derived particles (MDPs), which include extracellular vesicles, outer membrane vesicles, inclusion bodies, polysaccharide particles, and virus‐like particles, represent a rapidly expanding category of bioinspired nanomaterials. With their natural origin, intrinsic biocompatibility, and highly programmable functionality, MDPs serve as a ...
Yuting Li +7 more
wiley +1 more source
Integration of smart sensors and IOT in precision agriculture: trends, challenges and future prospectives. [PDF]
Mansoor S +5 more
europepmc +1 more source
Advances and Perspectives in Graphene‐Based Quantum Dots Enabled Neuromorphic Devices
Graphene‐based QDs are zero‐dimensional carbon nanomaterials with pronounced quantum confinement and tunable electronic structures. Herein, we summarize their synthesis strategies and functionalization methods, and highlight their functional roles and operating mechanisms in devices, as well as recent advances in neuromorphic electronics. We anticipate
Yulin Zhen +9 more
wiley +1 more source
A Genomic Catalog of Migratory Microbiomes from Wild Birds across China's Habitats
ABSTRACT Migratory birds play an important role in the spread of antimicrobial resistance (AMR); however, gaps in surveillance data from vital regions along migratory flyways across China limit the detection of emergent threats. Here, we assembled 340 metagenomes from 52 bird species covering 11 provincial administrative districts in China, presenting ...
Yanan Wang +13 more
wiley +1 more source
Smart intercropping system to detect leaf disease using hyperspectral imaging and hybrid deep learning for precision agriculture. [PDF]
Goyal SB +6 more
europepmc +1 more source
The microcrystalline structure of hard carbon derived from green sandalwood is modulated by controlling the steric hindrance effect of the precursor, thereby significantly enhancing ion diffusion kinetics. When utilized in sodium‐ion batteries, it demonstrates excellent cycle life, exceeding 7000 cycles, as well as superior low‐temperature performance,
Xiping Zhang +4 more
wiley +1 more source
Classification of cotton leaf disease using YOLOv8 based k-fold cross validation deep learning method for precision agriculture. [PDF]
Joshi K +8 more
europepmc +1 more source
OsGSK2‐OsTCP19 module regulating nitrate response and lateral root (LR) development. Low‐nitrate condition results in reduced BR response, accumulation of OsGSK2 and phosphorylated OsTCP19, which suppresses the expression of nitrate‐responsive genes and LR‐development genes and impairs rice growth.
Yongqiang Liu +11 more
wiley +1 more source
Towards precision agriculture tea leaf disease detection using CNNs and image processing. [PDF]
Rahat IS, Ghosh H, Dara S, Kant S.
europepmc +1 more source

