Results 231 to 240 of about 594,645 (347)

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

Advanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

Effect of combined application of inorganic nitrogen and phosphorus to an organic-matter poor soil on soil organic matter cycling. [PDF]

PeerJ
Anwar F, Sanaullah M, Ali HM, Hussain S, Mahmood F, Zahid Z, Shahzad T.   +6 more
europepmc   +1 more source

Soil organic matter turnover is governed by accessibility not recalcitrance

, 2012
J. Dungait, D. Hopkins, A. Gregory, A. Whitmore   +3 more
semanticscholar   +1 more source

Evaluating Soil Carbon Changes in Paddy Field based on Different Fraction of Soil Organic Matter

, 2015
Myung-Chul Seo, Hyeon-Suk Cho, Jun‐Hwan Kim, Wan-Gyu Sang, Pyeong Shin, Geon Hwi Lee   +5 more
openalex   +2 more sources

Polymerase Chain Reaction. Perturbation Theory and Machine Learning Artificial Intelligence‐Experimental Microbiome Analysis: Applications to Ancient DNA and Tree Soil Metagenomics Cases of Study

Advanced Intelligent Systems, EarlyView.
The polymerase chain reaction (PCR).Perturbation Theory and Machine Learning framework integrates perturbation theory and machine learning to classify genetic sequences, distinguishing ancient DNA from modern controls and predicting tree health from soil metagenomic data.
Jose L. Rodriguez, Estefania Ascencio, Jose M. Ageitos, Lucia Feijoo, Shan He, Amirreza Daghighi, Gerardo M. Casanola‐Martin, Cristian R. Munteanu, Santiago Rodriguez Yañez, Alejandro Pazos, Harbil Bediaga, Brenda Durand Ordiales, Raquel Esteban, Ana‐Maria Heres, Jorge Curiel Yuste, Lur Epelde, Bakhtiyor Rasulev, Tomas Gonzalez, Sonia Arrasate, Humberto González‐Diaz   +19 more
wiley   +1 more source

The Kerbernez long-term experiment: A dataset on crop yield and soil organic matter evolution in forage crop rotations and permanent grasslands in a temperate oceanic climate. [PDF]

Data Brief
Graux AI, Cadéro A, Ferchaud F, Vertès F.   +3 more
europepmc   +1 more source

Effect of Soil Organic Matter on the Enhancement of Caesium Fixation by Soil Mixed with Minerals

, 2019
Yuto Chiba, Ayaka Sasaki, Nao ISHIKAWA, Ayumi Ito, Teruyuki Umita   +4 more
openalex   +2 more sources

A Female‐Locust‐Inspired Hybrid Soft‐Stiff Robotic Digger: Mimetics and Implications for Digging Efficiency

Advanced Intelligent Systems, EarlyView.
Female desert locusts dig underground to lay their eggs. They displace soil, rather than removing it, to create a tunnel. We analyze burrowing dynamics and 3D kinematics and design a locust‐inspired hybrid soft–stiff robot that reproduces this mechanism. The results show the natural strategy minimizes energy, whereas alternative patterns raise costs up
Shai Sonnenreich, Amir Ayali, Bat‐El Pinchasik   +2 more
wiley   +1 more source

Chemodiversity of Dissolved Soil Organic Matter from Amazon Rainforest as Influenced by Deforestation. [PDF]

Metabolites
Souza T, Araujo DJ, Cassimiro CAL, Batista DS.   +3 more
europepmc   +1 more source

Reevaluating the effects of soil organic matter and other properties on available water-holding capacity using the National Cooperative Soil Survey Characterization Database

Journal of Soil and Water Conservation, 2018
Z. Libohova, C. Seybold, D. Wysocki, S. Wills, P. Schoeneberger, Candiss O. Williams, D. Lindbo, D. Stott, P. Owens   +8 more
semanticscholar   +1 more source