Results 121 to 130 of about 21,998,513 (385)
The genome of Megachile rotundata, an extensively managed solitary pollination bee species, has been sequenced, covering 280.68 Mb and predicting 10 701 genes. The study reveals significant expansions of the Toll gene family and their abundant expression in diapause prepupae, highlighting enhanced immune responses during diapause. This genome serves as
Rangjun Shi+8 more
wiley +1 more source
Canadian contributions to environmetrics
Abstract This article focuses on the importance of collaboration in statistics by Canadian researchers and highlights the contributions that Canadian statisticians have made to many research areas in environmetrics. We provide a discussion about different vehicles that have been developed for collaboration by Canadians in the environmetrics context as ...
Charmaine B. Dean+8 more
wiley +1 more source
We utilized spatio-temporal data to investigate the applicability of a hybrid (CA- Markov) model in predicting land-use change in Saddle Creek drainage basin in Florida.
Praveen Subedi, K. Subedi, B. Thapa
semanticscholar +1 more source
Running Markov chain without Markov basis [PDF]
The methodology of Markov basis initiated by Diaconis and Sturmfels(1998) stimulated active research on Markov bases for more than ten years. It also motivated improvements of algorithms for Grobner basis computation for toric ideals, such as those implemented in 4ti2. However at present explicit forms of Markov bases are known only for some relatively
arxiv
Markov-switching generalized additive models
We consider Markov-switching regression models, i.e. models for time series regression analyses where the functional relationship between covariates and response is subject to regime switching controlled by an unobservable Markov chain.
Glennie, Richard+3 more
core +1 more source
An Introduction to Hidden Markov Models [PDF]
AbstractThis unit introduces the concept of hidden Markov models in computational biology. It describes them using simple biological examples, requiring as little mathematical knowledge as possible. The unit also presents a brief history of hidden Markov models and an overview of their current applications before concluding with a discussion of their ...
Schuster-Böckler, B, Bateman, A
openaire +3 more sources
DiffMC‐Gen: A Dual Denoising Diffusion Model for Multi‐Conditional Molecular Generation
DiffMC‐Gen, a dual‐diffusion model for 2D and 3D molecular generation, simultaneously optimizes multiple key objectives across the drug design process, enabling the generation of novel, target‐specific small‐molecule ligands with high therapeutic potential.
Yuwei Yang+7 more
wiley +1 more source
Structured Prediction of Sequences and Trees using Infinite Contexts
Linguistic structures exhibit a rich array of global phenomena, however commonly used Markov models are unable to adequately describe these phenomena due to their strong locality assumptions.
C Zhu+4 more
core +1 more source
No evidence of a rural‐urban divide in prioritizing agricultural policy goals
Abstract Rural‐urban divides have been found in various policy fields, but it remains unclear if they exist in agricultural policy. We analyzed the policy preferences of 1542 Swiss respondents, ranging from very rural to very urban. Respondents prioritized different pairs of conflicting goals, that is, two economic goals versus four conflicting agri ...
Nadja El Benni+4 more
wiley +1 more source
This economic evaluation used a Markov state‐transition model to analyze the cost‐effectiveness of surveillance strategies recommended by various academic societies. This study found that the surveillance program proposed by the Japanese Society for Cancer of the Colon and Rectum (JSCCR) was the most cost‐effective, with an incremental cost ...
Fumio Tsukamoto+9 more
wiley +1 more source