Results 71 to 80 of about 803,101 (318)

A Probabilistic Truth-Conditional Semantics for Indicative Conditionals

Studia Semiotyczne, 2022
In my article, I present a new version of a probabilistic truth prescribing semantics for natural language indicative conditionals. The proposed truth conditions can be paraphrased as follows: an indicative conditional is true if the corresponding ...
Michał Sikorski
doaj  

Adenylyl Cyclase 8 in Dorsal CA1 Neurons Prevents Depressive‐Like Behaviors by Maintaining Neuronal Excitability and Glutamatergic Neurotransmission Through TIP39‐PTH2R Signaling

Advanced Science, EarlyView.
Depression, a prevalent neuropsychiatric disorder with unclear pathogenesis, involves dysfunctional adenylyl cyclase 8 (Adcy8) as a key risk factor. Chronic stress selectively reduces Adcy8 expression in the dorsal CA1 (dCA1) neurons. Depletion of Adcy8 in dCA1 excitatory neurons induces depressive‐like behaviors by impairing neuronal excitability and ...
Zi‐Jie Liu, Jia‐Rui Bi, Zong‐Yan Yu, Meng Tian, Zhi‐Yue Chen, Ran Wei, Miao‐Miao Wang, Hai‐Wei Zha, Yu‐Qing Zhang, Hong‐Jing Wang, Bang‐You Qiang, Shuang‐Shuang Sun, Xiao‐Juan Zhu, Wen‐Bing Chen, Dong Sun   +14 more
wiley   +1 more source

Can edge AI mitigate environmental effects on camera trap performance?

Wildlife Society Bulletin
Abiotic and biotic conditions can affect camera trap performance, and failure to account for environmental factors can bias wildlife research and management inferences modeled from camera trap data. We investigated whether a camera trap enabled with edge
Taylor L. Kaltenbach, Jeffrey C. Mosley, Lance B. McNew, Jared T. Beaver   +3 more
doaj   +1 more source

MGM as a Large‐Scale Pretrained Foundation Model for Microbiome Analyses in Diverse Contexts

Advanced Science, EarlyView.
We present the Microbial General Model (MGM), a transformer‐based foundation model pretrained on over 260,000 microbiome samples. MGM learns contextualized microbial representations via self‐supervised language modeling, enabling robust transfer learning, cross‐regional generalization, keystone taxa discovery, and prompt‐guided generation of realistic,
Haohong Zhang, Yuli Zhang, Zixin Kang, Jiayun Xiong, Ronghua Yang, Kang Ning   +5 more
wiley   +1 more source

Quantifying Additive Manufacturing Vapor Plumes Using Laser‐Induced Breakdown Spectroscopy, Synchrotron X‐Ray Radiography and Simulations

Advanced Science, EarlyView.
This study presents a novel in situ laser‐induced breakdown spectroscopy system for monitoring metal vapors produced by the intense laser‐metal interactions in laser powder bed fusion additive manufacturing and laser welding. The insights from this new technique reveal changes in alloy compositions and provide the first in situ validation of multi ...
Anna C. M. Getley, Samy Hocine, Junji Shinjo, Chinnapat Panwisawas, Marta Majkut, Alexander Rack, Peter D. Lee, Michael Towrie, Chu Lun Alex Leung   +8 more
wiley   +1 more source

Optimal compromise between incompatible conditional probability distributions, with application to Objective Bayesian Kriging

, 2018
Models are often defined through conditional rather than joint distributions, but it can be difficult to check whether the conditional distributions are compatible, i.e. whether there exists a joint probability distribution which generates them.
Muré, Joseph
core   +2 more sources

Initial Distance‐Dependent Mean Force Drives Synaptic Vesicle Motion Toward Fusion Sites in Stimulated Hippocampal Neurons

Advanced Science, EarlyView.
Synaptic vesicle (SV) motion and exocytosis dynamics in the presynaptic terminals of live neurons are intimately linked to synaptic transmission during neuronal activity. In this work, it is revealed that, during electrical stimulation, SVs located farther from their fusion sites exhibit greater straightness and experience larger mean forces directed ...
Gyunam Park, Ji‐Hyun Kim, Hunki Lee, Chungwon Park, Sidong Chen, Luke Bates, Jaeyoung Sung, Hyokeun Park   +7 more
wiley   +1 more source

Geometry and Expressive Power of Conditional Restricted Boltzmann Machines

, 2015
Conditional restricted Boltzmann machines are undirected stochastic neural networks with a layer of input and output units connected bipartitely to a layer of hidden units.
Ay, Nihat, Ghazi-Zahedi, Keyan, Montufar, Guido   +2 more
core  

Meta‐GWAS of Pig Semen Quality Traits Reveals Conserved Genes Regulating Mammalian Fertility

Advanced Science, EarlyView.
This study incorporated 14 210 individuals to perform a GWAS meta‐analysis of six semen quality traits. The GWAS meta‐analysis identifies 234 GWAS loci associated with semen quality traits. The incorporation with a functional genomics resource explains potential genetic regulation of ∼40% GWAS signals underlying semen quality traits.
Qing Lin, Xiaodian Cai, Zhanming Zhong, Tingting Li, Xinyou Chen, Wondossen Ayalew, Zhiting Xu, Chen Wei, Xiaoke Zhang, Hong Cheng, Zhenyang Zhang, Xuehua Li, Yongjie Tang, Siqian Chen, Jun Zhou, Jinglei Si, Xibo Wu, Chao Ning, Qishan Wang, Yuchun Pan, Yahui Gao, Jiaqi Li, Ying Yu, Zhe Zhang, Yunxiang Zhao, Lingzhao Fang, Zhe Zhang   +26 more
wiley   +1 more source

A rapid conditional enumeration haplotyping method in pedigrees

Genetics Selection Evolution, 2008
Haplotyping in pedigrees provides valuable information for genetic studies (e.g., linkage analysis and association study). In order to identify a set of haplotype configurations with the highest likelihoods for a large pedigree with a large number of ...
Hoeschele Ina, Gao Guimin
doaj   +1 more source