Results 161 to 170 of about 21,593 (217)

A Single‐Cell Transcriptomic Atlas of the Ovine Rumen Microbiome Characterizes Lineage‐Specific Metabolic Shifts Associated with Host Heat Tolerance

Advanced Science, EarlyView.
An optimized single‐cell transcriptomic framework profiles over 60 000 cells to map the ovine rumen microbiome, partitioning the ecosystem into seven cross‐species functional clusters. In heat‐resistant hosts, a lineage‐specific metabolic shift in Anaerovibrio lipolyticus toward a highly glycolytic phenotype contributes to a “nutritional sparing ...
Sanbao Zhang, Qinyang Jiang, Junjie Ma, Jianwei Zou, Fan Wang, Feifei Lv, Yanna Huang, Yongcheng Wang, Ziye Xu   +8 more
wiley   +1 more source

Spectral energies of redefined Zagreb indices and comparative QSPR applications to anticancer and alcohol datasets. [PDF]

Sci Rep
Zeren Y, Çiçek E, Alsharafi M.
europepmc   +1 more source

Interacting Parallel Fluidic Hysterons

Advanced Science, EarlyView.
The parallel coupling of fluidic hysterons is introduced, establishing advanced functionalities in inflatable soft systems. A pressure–volume framework reveals how preset volumes Δv∗${\Delta }v^*$ tune nonlinear interactions between hysterons and actuation sequences without changing architecture. Experiments validate the predictions, opening new routes
Katrien Stinissen, Franco Nicolas Piñan Basualdo, Benjamin Gorissen   +2 more
wiley   +1 more source

Modeling the impact of climate variables on agriculture through the F-transform. [PDF]

Sci Rep
Amicizia B, Ballestra LV, Guerra ML, Sorini L, Stefanini L.   +4 more
europepmc   +1 more source

CauFinder: Steering Cell‐State and Phenotype Transitions by Causal Disentanglement Learning

Advanced Science, EarlyView.
CauFinder combines causal disentanglement modeling and network control to prioritize causal drivers of cell‐state transitions from observational transcriptomic data. The framework separates transition‐relevant signals from spurious associations, nominates intervention targets across biological and disease contexts, and identifies DAAM1 as an actionable
Chengming Zhang, Zexi Chen, Yuanxiang Miao, Zuolin Shen, Deyu Cai, Shijie Tang, Yun Xue, Weifeng Guo, Hongbin Ji, Jian Liu, Kazuyuki Aihara, Luonan Chen   +11 more
wiley   +1 more source

Guiding Similarity Search in Chemical Fragment Spaces with Weighted Fingerprints. [PDF]

J Chem Inf Model
Lübbers J, Schokolowski M, Lessel U, Weber A, Rarey M.   +4 more
europepmc   +1 more source

CD31+ Cell Enrichment Enhances Therapeutic Effects of Stromal Vascular Fraction in Experimental Primary Osteoarthritis: A Preclinical Study in the Dunkin Hartley Guinea Pig Model

Advanced Science, EarlyView.
Both SVF and CD31+ SVF improve spontaneous osteoarthritis, but CD31+ enrichment refines the therapeutic profile rather than broadly enhancing all effects. More distinct benefits are observed in extracellular matrix remodeling, osteochondral integrity, and subchondral/trabecular bone preservation, supporting CD31+‐enriched SVF as a biologically enhanced
Sijia Zhou, Tobias Winkler, Bin Chen, Marta Grzeski, Yilong Yang, Florian N. Fleckenstein, Dominik Geisel, Alexander Hildebrandt, Daniela Aschenbrenner, Marie Agatha Mohn, Benjamin Claass, January Weiner 3rd, Sven Geissler, Georg N. Duda, Søren P. Sheikh, Oliver Klein, Tazio Maleitzke   +16 more
wiley   +1 more source

Machine learning analysis of student consumer choices for pet supplements. [PDF]

Front Artif Intell
Chen TC, Chung HY, Chen FS.
europepmc   +1 more source

Causal‐Guided Ultra‐Long‐Term Time Series Forecasting Via Anticipated Covariates

Advanced Science, EarlyView.
Often treated as unknown, information from the future remains underutilized.We demonstrate that in a coupled dynamical system, providing the future state of the effect enables accurate forecasting of the cause for a long timesteps. A time series forecasting paradigm that introduces anticipated covariates to represent such known future states is ...
Jintong Zhao, Yufei Liu, Ruixi Huang, Zhongxue Gan, Siyang Leng   +4 more
wiley   +1 more source

Machine learning approach to topological graph descriptors of graphene nanoribbons. [PDF]

Front Chem
Jyothish K, Roy S, Sekar Ponnusamy C, Gayathri KB, Vijay JS, Augustine T.   +5 more
europepmc   +1 more source