Results 231 to 240 of about 4,693,052 (300)
How can we fully understand brain function and disease without uncovering the causal coordination between molecular and neural activity across space and time? MEA‐seqX tackles this challenge by integrating advanced electrophysiology, spatial transcriptomics, and artificial intelligence predictions, revealing multiscale dynamics.
Brett Addison Emery+9 more
wiley +1 more source
Video indexing and similarity retrieval by largest common subgraph detection using decision trees [PDF]
Kim Shearer+2 more
openalex +1 more source
In CLas‐infected D. citri, CLas lowers 20E levels initially, relieving the suppression of ETH release. The subsequent increase in ETH levels upregulates its receptor DcETHR and activates the JH signaling pathway. The signaling cascade of 20E‐ETH/ETHR‐JH along with miR‐210, targeting DcETHR, boost female fecundity in CLas+ D.
Xiaoge Nian+8 more
wiley +1 more source
Speeding Up Relational Reinforcement Learning through the Use of an Incremental First Order Decision Tree Learner [PDF]
Kurt Driessens+2 more
openalex +1 more source
An automated machine learning framework integrating environmental and genomic data enhances genetic analysis and genomic prediction in maize. By leveraging dimension‐reduced environmental parameters, it reveals trait‐environment relationships and identifies genetic markers that govern phenotypic plasticity and genotype‐by‐environment interactions.
Kunhui He+12 more
wiley +1 more source
Non-dictionary-based Thai word segmentation using decision trees [PDF]
Thanaruk Theeramunkong+1 more
openalex +1 more source
This study indicates that perinatal antibiotic exposure elevates susceptibility to high‐fat‐diet‐induced hepatic lipid accumulation via disrupting early‐life gut microbiota colonization. The decreased Lactobacillus colonization inhibits primary‐to‐secondary bile acid conversion, lowering secondary bile acids, enhancing adulthood intestinal lipid ...
Yan‐Yan Zhu+11 more
wiley +1 more source
Machine Learning‐Enhanced Optimization for High‐Throughput Precision in Cellular Droplet Bioprinting
A high‐throughput droplet‐based cellular bioprinting platform enhanced with machine learning optimizes five key printing parameters—bioink viscosity, nozzle size, printing time, printing pressure, and cell concentration—to enable accurate prediction of droplet size.
Jaemyung Shin+7 more
wiley +1 more source
Cai et al. report that tumor‐derived lactate induces NUPR1 expression via H3K18 lactylation, which can promote the pro‐tumor M2 macrophage polarization through ERK and JNK signaling pathways. Treatment with NUPR1 selective inhibitor sensitizes synergizes with anti‐PD‐1 therapy in murine preclinical models.
Jialiang Cai+12 more
wiley +1 more source