Results 121 to 130 of about 594,285 (313)

Pyroptosis‐Inducing Engineered Microparticles for Cancer Immunotherapy

Advanced Science, EarlyView.
Engineered microparticles co‐delivering geldanamycin and dual nanobodies induce targeted pyroptosis and block PD‐L1 and CD47 pathways, reprogramming the tumor microenvironment and achieving potent antitumor immunity in lung cancer models with minimal toxicity.
Tianli Hao, Zihan Deng, Yufei Liu, Li Liu, Deqiang Deng, Muyang Yang, Yuanyuan Geng, Yao Sun, Beilei Yue, Jonathan F. Lovell, Yushuai Liu, Lisen Lu, Honglin Jin   +12 more
wiley   +1 more source

Count Data Analysis of the Adoption of Best Management Practices in Beef Cattle Production [PDF]

Factors influencing the adoption of Best Management Practices by cattle producers are analyzed using negative binomial regression analysis. Fifteen hundred farms were surveyed.
Gillespie, Jeffrey M., Kim, Seon-Ae, Paudel, Krishna P.   +2 more
core   +1 more source

Bayesian geostatistical modelling for mapping schistosomiasis transmission [PDF]

, 2017
Progress has been made in mapping and predicting the risk of schistosomiasis using Bayesian geostatistical inference. Applications primarily focused on risk profiling of prevalence rather than infection intensity, although the latter is particularly ...
N'GORAN, E. K., RASO, G., TANNER, M., UTZINGER, J., VOUNATSOU, P.   +4 more
core  

A Robust Deep Temporal Causal Discovery Platform for Single‐Cell Gene Regulatory Network Reconstruction

Advanced Intelligent Discovery, EarlyView.
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta, Madison Dautle, Shaoqiang Zhang, Yong Chen   +3 more
wiley   +1 more source

Negative Binomial Regression Model Estimation Using Stein Approach: Methods, Simulation, and Applications

Journal of Mathematics
The negative binomial regression model (NBRM) is popular for modeling count data and addressing overdispersion issues. Generally, the maximum likelihood estimator (MLE) is used to estimate the NBRM coefficients. However, when the explanatory variables in
Bushra Ashraf, Muhammad Amin, Walid Emam, Yusra Tashkandy, Muhammad Faisal   +4 more
doaj   +1 more source

Combining zero-inflated negative binomial regression with MLRT techniques: An approach to evaluating shipping accident casualties

Ocean Engineering, 2018
This study aims to develop a maximum likelihood regression tree-based (MLRT) ZINB (zero-inflated negative binomial) model to predict shipping accident mortality, and also to examine the factors which affect the loss of human life in shipping accidents ...
Jinxian Weng, Dong Yang, Ting Qian, Zhi Huang   +3 more
semanticscholar   +1 more source

Digital Surface‐Enhanced Raman Scattering With Event Counting and Spectrum Learning for Label‐Free Protein Quantification

Advanced Intelligent Systems, EarlyView.
A statistical and machine learning‐assisted surface‐enhanced Raman scattering (SERS) framework is developed for label‐free quantification of low‐abundance analytes, including proteins. Combining digital SERS event counting with binomial regression and an artificial neural network (ANN) trained on full spectra, the approach achieves picomolar detection ...
Eni Kume, James Rice
wiley   +1 more source

Negative Binomial Regression Modeling to Analyze the Determinants of Infant Mortality in West Java Province

Berkala Sainstek
The Infant Mortality Rate (IMR) is an important indicator in assessing the quality of public health and the success of health programs in a region. Proper handling of factors that determine IMR is essential to reduce this number.
Firda Fadri, Ari Firmansyah, Victor Alesyus Erlanda   +2 more
doaj   +1 more source

Giving and receiving help in three contexts as predictors of alcohol outcomes in a longitudinal study of sober living house residents

American Journal of Community Psychology, EarlyView.
Abstract Although peer support is central to the social model approach emphasized in sober living houses (SLHs), no longitudinal studies have examined helping among SLH residents. This longitudinal study examined benefits of helping in three contexts among SLH residents. Data were from 205 participants entering 28 SLHs across 2021–2023. Interviews were
Sarah E. Zemore, Elizabeth Mahoney, Meenakshi S. Subbaraman, Amy A. Mericle, Douglas L. Polcin   +4 more
wiley   +1 more source

Recreational Demand for Equestrian Trail-Riding [PDF]

Using data collected from a combination of on-site and on-line surveys, this study examines recreational demand for equestrian trail-riding in Kentucky.
Auchter, Katharine, Blackwell, Melanie, Hu, Wuyang, Pagoulatos, Angelos   +3 more
core   +1 more source