Results 41 to 50 of about 241,041 (317)
Unveiling Global Diversity of Patescibacteriota and Functional Interactions with Host Microbes
Advanced Science, EarlyView.Patescibacteriota represents a diverse group of ultra‐small epibiotic bacteria, which is largely overlooked. By integrating ribosomal protein S3‐based community profiling with MAG‐based metabolic potential analyses, this study provides new insights into their distribution, diversity, and potential interactions with other bacteria across diverse ...
Yanhan Ji +12 more
wiley +1 more source
Advanced Science, EarlyView.Long‐term hippocampal place‐code dynamics are investigated using calcium imaging across weeks of maze navigation. Analyses reveal a novelty‐irrelevant Single‐Field Evolution Rule (SFER), where active fields promote persistence and inactive fields decline.
Cong Chen +10 more
wiley +1 more source
Two Novel S‐methyltransferases Confer Dimethylsulfide Production in Actinomycetota
Advanced Science, EarlyView.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
Prediction of annual rainfall pattern using Hidden Markov Model (HMM) in Jos, Plateau State, Nigeria
Journal of Applied Sciences and Environmental Management, 2016 A Hidden Markov Model (HMM) is a double stochastic process in which one of the stochastic processes is an underlying Markov chain, the other stochastic process is an observable stochastic process.
A Lawal +3 more
doaj +1 more source
Asymptotic operating characteristics of an optimal change point detection in hidden Markov models
, 2005 Let \xi_0,\xi_1,...,\xi_{\omega-1} be observations from the hidden Markov model with probability distribution P^{\theta_0}, and let \xi_{\omega},\xi_{\omega+1},...
Fuh, Cheng-Der
core +1 more source
Advanced Science, EarlyView.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
Advanced Science, EarlyView.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
Tongxin xuebao, 2010 The defects of intrusion detection using fixed-length short system call sequences were analyzed. A method of extracting variable-length short system call sequences, grounded on the function return addresses stored in the process stacks, was proposed ...
DUAN Xue-tao1 +2 more
doaj +2 more sources
S3RL: Enhancing Spatial Single‐Cell Transcriptomics With Separable Representation Learning
Advanced Science, EarlyView.Separable Spatial Representation Learning (S3RL) is introduced to enhance the reconstruction of spatial transcriptomic landscapes by disentangling spatial structure and gene expression semantics. By integrating multimodal inputs with graph‐based representation learning and hyperspherical prototype modeling, S3RL enables high‐fidelity spatial domain ...
Laiyi Fu +6 more
wiley +1 more source
Partially Hidden Markov Chain Linear Autoregressive model: inference and forecasting [PDF]
, 2021 Fatoumata Dama, Christine Sinoquet
openalex +1 more source