Results 71 to 80 of about 110,813 (305)

A Bayesian hierarchical modeling approach for species diversity in ecology

Ecological Informatics
Species diversity is the foundation of many ecological disciplines. This metric is often approximated using species richness and evenness, even though actual richness likely exceeds observations due to imperfect sampling methods.
Song S. Qian, Mark R. DuFour, Sabrina Jaffe, Corbin Hilling, William D. Hintz   +4 more
doaj   +1 more source

Generalized distributions of order k associated with success runs in Bernoulli trials

International Journal of Mathematics and Mathematical Sciences, 2003
In a sequence of independent Bernoulli trials, by counting multidimensional lattice paths in order to compute the probability of a first-passage event, we derive and study a generalized negative binomial distribution of order k, type I, which extends to ...
Gregory A. Tripsiannis, Afroditi A. Papathanasiou, Andreas N. Philippou   +2 more
doaj   +1 more source

SAA/FPR2 Signaling Between Pericentral Hepatocytes and Macrophages Exacerbates Zonated Liver Transplant Injury

Advanced Science, EarlyView.
After liver transplantation, ischemia‐reperfusion injury is more severe in pericentral regions. Multiomic analyses of human grafts and mouse models identify FOXO1 activation in pericentral hepatocytes as an upstream driver of SAA secretion. SAA recruits and activates FPR2+ macrophages, amplifying local inflammation. Amilo‐5MER inhibits SAA bioactivity,
Feng Zhang, Rong Li, Tingting Wang, Jianhao Zhang, Zhengqi Wu, Qiang You, Xuying Liu, Cuicui Xiao, Jiebin Zhang, Haitian Chen, Jiaqi Xiao, Jia Yao, Jun Zheng, Yingcai Zhang, Hua Li, Shuhong Yi, Yang Yang, Qi Zhang, Xiaofeng Yuan, Yasong Liu   +19 more
wiley   +1 more source

Using the negative binomial distribution to investigate sports attendance

, 2008
Most of the research into sports attendance uses cognitive and hedonic models as the theoretical foundation. While these models are useful at explaining attendance variance, they are not good predictors of attendance.
Neale, Larry, Funk, Daniel
core  

TME/NIR Dual‐Responsive Zinc‐Based Targeted Nanoagonist for Multimodal Amplification of STING‐Mediated Cancer Immunotherapy

Advanced Science, EarlyView.
A multifunctional nanoagonist (cDZ@IP) enables nano‐metabolite–driven multimodal activation of the STING pathway and enhanced immune recognition, achieving potent antitumor immunity and suppressing tumor growth and metastasis. This strategy highlights the rational design of therapeutic metabolites and establishes a new paradigm bridging nanomedicine ...
Kepeng Hu, Jiawei Wang, Wei Zhang, Zhixuan Wu, Jing Chen, Yujing He, Xiyue Duan, Yaoting He, Xin Xin, Haoyi Xiang, Yijing Wang, Chengwei Wu, Yang Yi, Qing Meng, Yuqian Qiao, Kui Cheng, Xiaojun Long, Zhangfa Song   +17 more
wiley   +1 more source

Do not log-transform count data

, 2010
1. Ecological count data (e.g., number of individuals or species) are often log-transformed to satisfy parametric test assumptions. 2. Apart from the fact that generalized linear models are better suited in dealing with count data, a log ...
Robert B. O’hara, Johan Kotze, Robert B. O'Hara, D. Johan Kotze   +3 more
core  

The Characteristic Function Property of Mixture Negative Binomial-Exponential Distribution

, 2018
This paper introduces a new distribution by mixing the negative binomial distribution and exponential distribution namely negative binomial-exponential (NB-E) distribution.
Sarah, Sarah, Devianto, Dodi, Maiyastri, Maiyastri, Kumala, Siska Dwi   +3 more
core   +1 more source

Negative Binomial Logistic Distribution

, 2021
A new family of distributions via, Binomial Logistic Distribution (NBLD) is introduced. The various characteristics of the distribution are derived. The structural analysis of the distribution includes moments, mode, skewness, kurtosis, hazard rate. Also
et. al., Ravikumar K,
core   +1 more source

Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES

Advanced Science, EarlyView.
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu, Wanpeng Zou, Yuekai Li, Jiayi Wang, Mingxuan Cai, Hongmin Cai   +5 more
wiley   +1 more source

Negative Binomial Distribution and the multiplicity moments at the LHC [PDF]

, 2011
In this work we show that the latest LHC data on multiplicity moments C2–C5 are well described by a two-step model in the form of a convolution of the Poisson distribution with energy-dependent source function.
Praszałowicz, Michał, Praszalowicz, Michal, Michal Praszalowicz   +2 more
core   +1 more source