Results 201 to 210 of about 254,793 (285)

A Bayesian Approach to Latent Class Modeling for Estimating the Prevalence of Schizophrenia Using Administrative Databases. [PDF]

Front Psychiatry, 2015
Laliberté V, Joseph L, Gold I.
europepmc   +1 more source

A Tac1‐Expressing Brainstem Pathway Underlies the Pathogenesis of Trigeminal Neuralgia

Advanced Science, EarlyView.
A critical TG‐Sp5CTac1‐PBNTac1 pathway drives trigeminal neuropathic pain (TNP). Tac1‐expressing parabrachial nucleus (PBNTac1) neurons exhibit heightened responses to innocuous stimuli in TNP, and chemogenetic inhibition of these neurons effectively prevents TNP development.
Liting Sun, Jia‐Jia Wang, Xiang‐Yu Li, Xin‐Yi Lin, Juan Li, Qiu‐Tong Yu, Zi‐Han Wang, Xue‐Ping Gao, Lei Jin, Wei‐Ke Li, Tian‐Lin Cheng, Juan Deng   +11 more
wiley   +1 more source

Stable Longitudinal Screening of Latent Physiological Dysregulation from Psychometric Data Using Machine Learning. [PDF]

Bioengineering (Basel)
Alecu AA.
europepmc   +1 more source

Maternal Preconception Antibiotic Exposure Disrupts Microbial Succession: A Transgenerational Risk for Offspring Gut Mucosal Immaturity and Colitis Susceptibility

Advanced Science, EarlyView.
This study reveals that maternal antibiotic exposure prior to conception disrupts intergenerational gut microbial succession. By enhancing maternal‐offspring microbial transmission, altering microbial developmental trajectories and increasing selective pressures during community assembly, these disturbances lead to persistent gut mucosal immaturity and
Yuzhu Chen, Ruqiao Duan, Cunzheng Zhang, Gaonan Li, XiaoLin Ji, Qi Zhang, Fei Pei, Kun Wang, Liping Duan   +8 more
wiley   +1 more source

Giant Switchable Remanent Polarization and Photocurrent in Ferroelectric Thin Film Photomemristor for In Situ Training

Advanced Science, EarlyView.
The device exhibits excellent ferroelectric performance and significant photoelectric response. It can adapt to light stimuli of varying power and wavelengths while achieving a stable and tunable photovoltaic response state. Moreover, the device can utilize photoconductive states of different directions and magnitudes to achieve pattern classification ...
Zhen Zhao, Chengze Sun, Zhijin Duo, Yue Hou, Zhanfeng Wang, Jikang Xu, Ziye Li, Fu Wang, Pengfei Li, Ying Liu, Yongqing Jia, Kangbo Zhao, Jia Wu, Biao Yang, Weifeng Zhang, Weidong Sun, Jiacheng Wang, Jinxia Liu, Junfeng Yu, Xiang Ying, Jianxin Guo, Xiaobing Yan   +21 more
wiley   +1 more source

Anchor-guided multi-view fuzzy clustering for hyperspectral and LiDAR images. [PDF]

Sci Rep
Xiao L, Liu S, Liu Y.
europepmc   +1 more source

Linearizing and Forecasting: A Reservoir Computing Route to Digital Twins of the Brain

Advanced Science, EarlyView.
A new approach uses simple neural networks to create digital twins of brain activity, capturing how different patterns unfold over time. The method generates and recovers key dynamics even from noisy data. When applied to fMRI, it predicts brain signals and reveals distinctive activity patterns across regions and individuals, opening possibilities for ...
Gabriele Di Antonio, Tommaso Gili, Andrea Gabrielli, Maurizio Mattia   +3 more
wiley   +1 more source

A study on the motivation stratification and behavioral differentiation patterns of sports socializing among Chinese residents: an empirical exploration based on latent profile analysis and random forest models. [PDF]

BMC Public Health
Tian Y, Liu S, Zhao F.
europepmc   +1 more source

From Pores to Pavement: Advanced Modeling of Aluminosilicates for Scalable Carbon Capture in Concrete

Advanced Science, EarlyView.
This study presents a transferable modeling framework for carbon capture using aluminosilicates, integrating Universal Isotherm Modeling with experimental data. It reveals how ultramicropores, alumina content, and amine functionalization influence CO2 adsorption energetics.
Pooja Anil Kumar Nair, Jéssica de O. N. Ribeiro, Murilo Daniel de Mello Innocentini, Kevin Paine, Juliana Calabria‐Holley   +4 more
wiley   +1 more source

Disability progression in multiple sclerosis: a latent class analysis of predictors. [PDF]

J Neurol
Guo J, Olsson T, Alfredsson L, Hedström AK.   +3 more
europepmc   +1 more source