Results 91 to 100 of about 178,006 (285)

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

An Identity for Kernel Ridge Regression [PDF]

, 2011
This paper derives an identity connecting the square loss of ridge regression in on-line mode with the loss of the retrospectively best regressor. Some corollaries about the properties of the cumulative loss of on-line ridge regression are also obtained ...
Kalnishkan, Yuri, Zhdanov, Fedor
core  

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

Takeuchi's Information Criteria as a form of Regularization

, 2018
Takeuchi's Information Criteria (TIC) is a linearization of maximum likelihood estimator bias which shrinks the model parameters towards the maximum entropy distribution, even when the model is mis-specified.
Dixon, Matthew, Ward, Tyler
core   +1 more source

Multicohort Validation of Gut Microbiome Signatures for Cholangiocarcinoma Diagnosis and Functional Characterization of Bifidobacterium Pseudocatenulatum

Advanced Science, EarlyView.
This study analyzes gut bacteria in cholangiocarcinoma patients, revealing distinct microbial signatures that enable accurate disease detection. Species‐based diagnostic models achieved over 98% accuracy in identifying cholangiocarcinoma and distinguished it from other liver diseases. The research demonstrates that specific beneficial bacteria suppress
Benchen Rao, Jianwen Jiang, Ruiqing Zhang, Dongya Zhang, Chenchen Zhang, Ang Li, Haifeng Lu, Hua Zhang, Lin Zhou, Wenzhi Guo, Peihao Wen, Jianfeng Xue, Jie Pan, Tuerganaili Aji, Zhou Lan, Xianzhi Jiang, Shusen Zheng, Zujiang Yu, Zhigang Ren   +18 more
wiley   +1 more source

Performance of Some Ridge Parameters for Probit Regression: with Application on Swedish Job Search Data [PDF]

In ridge regression the estimation of the ridge parameter is an important issue. This paper generalizes some methods for estimating the ridge parameter for probit ridge regression (PRR) model based on the work of Kibria et al. (2011).
Locking, Håkan, Månsson , Kristofer, Shukur, Ghazi   +2 more
core  

A BioLiving Periosteum Evokes Centripetal Regeneration in Challenging Bone Defects

Advanced Science, EarlyView.
Large bone defects often suffer from insufficient central healing. This study engineers a BioLiving periosteum that mimics the native structure. It sequentially delivers remote chemical cues and contact physical cues in a signaling‐relay manner, effectively recruiting and guiding endogenous cells toward the defect center.
Yang Shi, Nian Liu, Jingyi Gu, Yinling Wang, Weiye Wang, Zhiwei Ke, Mingjun Xie, Wenjing Jin, Weicheng Kong, Jue Shi, Hui Pan, Yong He, Zhijian Xie   +12 more
wiley   +1 more source

Employing Ridge Regression Procedure to Remedy the Multicollinearity Problem

Ibn Al-Haitham Journal for Pure and Applied Sciences, 2017
   In this paper we introduce many different Methods of ridge regression to solve multicollinearity problem in linear regression model. These Methods include two types of ordinary ridge regression (ORR1), (ORR2) according to the choice of ridge ...
Hazim M. Gorgees, Bushra A. Ali
doaj  

Regression analysis and its application to oil and gas exploration: A case study of hydrocarbon loss recovery and porosity prediction, China

Energy Geoscience
In oil and gas exploration, elucidating the complex interdependencies among geological variables is paramount. Our study introduces the application of sophisticated regression analysis method at the forefront, aiming not just at predicting geophysical ...
Yang Li, Xiaoguang Li, Mingyu Guo, Chang Chen, Pengbo Ni, Zijian Huang   +5 more
doaj   +1 more source

Bootstrap-quantile ridge estimator for linear regression with applications

PLoS ONE
Bootstrap is a simple, yet powerful method of estimation based on the concept of random sampling with replacement. The ridge regression using a biasing parameter has become a viable alternative to the ordinary least square regression model for the ...
Irum Sajjad Dar, Sohail Chand
doaj   +2 more sources