Results 61 to 70 of about 557,766 (311)
Two Novel S‐methyltransferases Confer Dimethylsulfide Production in Actinomycetota
This study identifies two novel S‐adenosine‐methionine‐dependent methyltransferases, MddM1 and MddM2, in actinomycetes from the Mariana Trench. These enzymes can convert toxic hydrogen sulfide (H2S) and methanethiol (MeSH) into dimethylsulfide (DMS), serving as a cellular detoxification and oxidative stress response.
Ruihong Guo +11 more
wiley +1 more source
An Analysis of Build-Up Growth Impacts to Water Stream Line of Motorway-6 Project End Point in Muang District of Nakhon Ratchasima Province [PDF]
Due to rapid growth of Nakhon Ratchasima province. Land use and Land cover change (LULC) change takes place in surrounding end point of Motorway of Nakhon Ratchasima municipality and its vicinity, various types of environmental impacts occur in the ...
Patiwat Littidej
doaj
On the first k moments of the random count of a pattern in a multi-states sequence generated by a Markov source [PDF]
In this paper, we develop an explicit formula allowing to compute the first k moments of the random count of a pattern in a multi-states sequence generated by a Markov source.
Nuel, Grégory
core +3 more sources
This study proposes a degradation estimation technique to explicitly describe compressive sampling for low‐sampling Hadamard single‐pixel imaging. Blur kernels in explicit degradation models are estimated by the self‐supervised learning method without labeled data and implicit priors.
Haoyu Zhang +4 more
wiley +1 more source
On the Qinghai–Tibetan Plateau, microbial carbon use efficiency (CUE) peaks at intermediate soil organic carbon levels and declines thereafter. In carbon‐rich soils, the formation of stable mineral‐associated organic carbon is decoupled from microbial CUE.
Yuting Wang +8 more
wiley +1 more source
Hidden Markov model based P2P flow identification technique
To identify various P2P flows accurately in real-time,a hidden Markov model(HMM)based P2P flow identification technique was proposed.This approach made use of packet size,inter-arrival time and arrival order to construct flow identification model,in ...
Bo XU, Ming CHEN, Xiang-lin WEI
doaj +2 more sources
HiST, a multiscale deep learning framework, reconstructs spatially resolved gene expression profiles directly from histological images. It accurately identifies tumor regions, captures intratumoral heterogeneity, and predicts patient prognosis and immunotherapy response.
Wei Li +8 more
wiley +1 more source
Self-corrected coefficient smoothing method based network security situation prediction
In order to solve the problem of insufficient accuracy of current network security situation prediction methods,a new network security situation prediction model was proposed based on self-correcting coefficient smoothing.Firstly,a network security ...
Hongyu YANG, Xugao ZHANG
doaj +2 more sources
In industrial processes, the composition of raw material and the production environment are complex and changeable, which makes the production process have multiple steady states.
Ning Chen +5 more
doaj +1 more source
These findings elucidated the crucial role of the “SVs‐3D genome remodeling‐epigenetic modifications‐gene expression” cascade regulatory network in cotton fiber domestication, offering both a theoretical foundation and genetic resources for molecular design breeding in fiber crops.
Lei Shao +11 more
wiley +1 more source

