Results 141 to 150 of about 5,941,658 (334)

Sarbecoviruses Suppress Innate Immunity by Recruiting PPM1A to Modulate STAT2 and ORF9b Phosphorylation

Advanced Science, EarlyView.
Sarbecovirus ORF9b recruits host phosphatase PPM1A to suppress innate immunity through dual mechanisms. PPM1A directly dephosphorylates ORF9b to sustain its activity and indirectly downregulates STAT2 phosphorylation to impair interferon signaling. Pharmacological inhibition of PPM1A restores antiviral responses and limits sarbecovirus replication ...
Lixiang Xie, Ziye Huang, Zhiyuan Zhang, Yiqiang Zhu, Xiaoqing Liu, Lei Wang, Tongyu Bi, Taizhen Liang, Jintao Lai, Meilin Hu, Guochang Qiu, Shiqi Xiao, Sen Liu, Yaoming Liu, Haiyue Rao, Tao Chen, Haojie Peng, Bin Zhang, Jia Tang, Qianying Li, Yaxin Li, Yuxin Hou, Weibo Yang, Hewei Jiang, Xiancai Ma   +24 more
wiley   +1 more source

Modeling Uncertainty in Ordinal Regression: The Uncertainty Rating Scale Model

Stats
In questionnaires, respondents sometimes feel uncertain about which category to choose and may respond randomly. Including uncertainty in the modeling of response behavior aims to obtain more accurate estimates of the impact of explanatory variables on ...
Gerhard Tutz
doaj   +1 more source

Ordinal versus nominal regression models and the problem of correctly predicting draws in soccer

International Journal of Computer Science in Sport, 2017
Ordinal regression models are frequently used in academic literature to model outcomes of soccer matches, and seem to be preferred over nominal models. One reason is that, obviously, there is a natural hierarchy of outcomes, with victory being preferred ...
Hvattum L. M.
doaj   +1 more source

Analyzing clustered continuous response variables with ordinal regression models. [PDF]

Biometrics, 2023
Tian Y, Shepherd BE, Li C, Zeng D, Schildcrout JS.   +4 more
europepmc   +1 more source

Bayesian Geoadditive Seemingly Unrelated Regression [PDF]

, 2002
Parametric seemingly unrelated regression (SUR) models are a common tool for multivariate regression analysis when error variables are reasonably correlated, so that separate univariate analysis may result in inefficient estimates of covariate effects. A
Steiner, Winfried J., Lang, Stefan, Adebayo, Samson B., Fahrmeir, Ludwig   +3 more
core   +1 more source

Mechanism‐Informed Language Modeling and Oxygenated 3D Screening Identify Berberine–Enzalutamide Synergy in Prostate Cancer Models

Advanced Science, EarlyView.
By integrating knowledge‐augmented artificial intelligence with an oxygen‐supplemented 3D screening platform, a synergistic interaction between berberine and enzalutamide is identified. The framework integrates compound mechanisms of action with disease‐relevant signaling context to prioritize candidate combinations and generate testable pathway‐based ...
Chih‐Hui Lo, Katie Shi, Lina Kafadarian, Alexandra Bermudez, Johnny Diaz, Liam Edwards, Yunqi Hong, Ziyi Chen, Hyeonji Hwang, Weihong Yan, Alan Levinson, Robert Damoiseaux, Cho‐Jui Hsieh, Tanya Stoyanova, Andrew S. Goldstein, Neil Y.C. Lin   +15 more
wiley   +1 more source

Ordinal Games [PDF]

We study strategic games where players' preferences are weak orders which need not admit utility representations. First of all, we ex- tend Voorneveld's concept of best-response potential from cardinal to ordi- nal games and derive the analogue of his ...
Nicolas Quérou, Philippe Solal, Hans Haller, Jacques Durieu   +3 more
core  

What Really Drives Agri‐Environment‐Climate Measures' Adoption? Mandatory Requirements, Behavioral Traits, and Structural Factors in the CAP Green Architecture

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT To increase farmer adoption of green practices, the EU Common Agricultural Policy includes both mandatory (conditionality) and voluntary instruments (eco‐schemes–ECS– and more demanding, multi‐annual agri‐environment‐climate measures –AECM–). Building on the experiment of Barreiro‐Hurle et al.
L. Sanchez‐Mata, M. Rodríguez‐Entrena, M. Espinosa‐Goded, F. J. Dessart, J. Barreiro‐Hurlé   +4 more
wiley   +1 more source

lpfann/fri: Ordinal Regression

, 2018
<p>This release includes the support for ordinal regression (ordered classification) problems.</p ...
Boyuan Deng, Lukas Pfannschmidt, Ariel Rokem, Vighnesh Birodkar, Kyle Jackson, MechCoder, Fabian Pedregosa   +6 more
core   +1 more source

Farmers' Preferences for Gene Editing Crops and Influencing Factors

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Gene editing (GE) is gaining momentum worldwide, but limited data on UK farmers' preferences hinders our understanding of its potential impact amid deregulation debates. Based on a survey of 200 English arable farmers, we employ a Latent Class Analysis and Multinomial Logit regressions to investigate current preferences for GE crops.
Bertolozzi‐Caredio Daniele, Vigani Mauro   +1 more
wiley   +1 more source