Results 161 to 170 of about 52,311 (259)

Root mixing effects on belowground decomposition depend on mycorrhizal type. [PDF]

Nat Commun
Jiang L, Hättenschwiler S, Ma N, Zheng J, Shi W, Ying Y, Li S, Yan H, Kou L.   +8 more
europepmc   +1 more source

Integrated high‐throughput phenomics and transcriptomics uncover the transcriptional mechanisms underlying rice responses to elevated CO2 concentration and cadmium stress

iMetaOmics, EarlyView.
Developing crop varieties with reduced cadmium (Cd) accumulation under elevated carbon dioxide (eCO2) requires hub gene identification and elucidation of its transcriptional mechanisms. Here, we acquired high‐throughput phenotyping of the rice cultivar Nipponbare across six key developmental stages under Cd stress and three eCO2 concentrations.
Weijun Guo, Hanlin Liu, Dongwei Li, Shang Xie, Yichao Mao, Liwen Yang, Cong Li, Weixuan Wang, Jian Tian, Xiaofeng Gu, Li Pu   +10 more
wiley   +1 more source

Infinite Mixture Models for Improved Modeling of Across-Site Evolutionary Variation. [PDF]

Mol Biol Evol
Gill MS, Baele G, Suchard MA, Lemey P.
europepmc   +1 more source

Genomic epidemiology and lineage‐specific risk stratification of tet(X4)‐mediated tigecycline resistance along the pork production chain: A One Health perspective

iMetaOmics, EarlyView.
Genome surveillance across a swine‐associated One Health continuum in China shows that slaughterhouses act as major enrichment nodes for tet(X4)‐mediated tigecycline resistance, driven by putative clonal transmission and stable plasmid backbones. Integrating global datasets enables lineage‐specific risk stratification, highlighting key control points ...
Qin Wang, Qiwu Yuan, Xuan Chen, Yujing Zhong, Ke Wu, Renqiao Wen, Luya Liu, Xiaoqin Wang, Cui Li, Hongning Wang, Changwei Lei   +10 more
wiley   +1 more source

Non-Destructive Geographical Traceability and Quality Control of <i>Glycyrrhiza uralensis</i> Using Near-Infrared Spectroscopy Combined with Support Vector Machine Model. [PDF]

Foods
Liu A, Meng Z, Ma J, Liu J, Wang H, Li Y, Yang Y, Liu N, Hui M, Zhai D, Li P.   +10 more
europepmc   +1 more source

Engineering in‐plane porosity in MXenes for energy storage: Correlating synthesis strategies with pore structure control

InfoMat, EarlyView.
MXenes are considered highly promising next‐generation energy storage materials due to their exceptional physicochemical and electrochemical properties, yet their electrochemical performance is severely hindered by nanosheet restacking. Constructing in‐plane pores directly on MXene nanosheets has emerged as an effective strategy to accelerate ion ...
Zhao Li, Pu Yang, Daotong Zhang, Kai Yang, Chaozheng Liu, Weimin Chen, Xiaoyan Zhou, Feng Jiang   +7 more
wiley   +1 more source

Intraspecific Variability in Leaf Functional Traits Reveals Divergent Resource-Use Strategies and Geographic Adaptation in Mediterranean Olive Cultivars from Worldwide Olive Germplasm Bank of Marrakech. [PDF]

Plants (Basel)
Kassout J, Souali H, Zahiri A, Abou-Saaid O, Mohammed A, Oulbi S.   +5 more
europepmc   +1 more source

Metabolic Signatures and Diagnostic Prediction Models for Coronary Artery Disease and Type 2 Diabetes Mellitus: Insights From an Exploratory Study

iNew Medicine, EarlyView.
Metabolomic & lipidomic analysis reveals metabolic overlap between CAD & T2DM, highlighting 7 key metabolites as potential biomarkers. A predictive model based on these achieves high accuracy, potentially advancing precision medicine & metabolic insights.
Zhihua Wang, Meiming Su, Ying Li, Yapei Li, Shuo Chen, Ting Peng, Hans Strijdom, Jiangang Wang, Jianping Weng, Suowen Xu   +9 more
wiley   +1 more source

A multi-compartment homogenized perfusion model for deforming hierarchical vasculature. [PDF]

Biomech Model Mechanobiol
Hohl J, Ebrahem A, Jessen E, Ten Eikelder MFP, Schillinger D.   +4 more
europepmc   +1 more source

Decoding temporal miRNA signatures of semen under in vitro exposure for forensic time since deposition estimation using machine learning‐driven modeling

Interdisciplinary Medicine, EarlyView.
This study develops a novel miRNA‐based framework for estimating the time since deposition of semen stains, combining small RNA sequencing with machine learning. Time‐dependent miRNA modules were identified using Mfuzz clustering and WGCNA, followed by a multi‐stage feature selection pipeline that reduced 261 candidate miRNAs to a minimal 7‐miRNA panel.
Meiming Cai, Qiong Lan, Tong Xie, Qinglin Liu, Ming Zhao, Xiaolian Wu, Xin Shi, Ruonan Shen, Yiman Wu, Chen Mao, Bin Cong, Bofeng Zhu   +11 more
wiley   +1 more source