Results 51 to 60 of about 112,632 (333)

Schizophrenia Genetics Modulates Clinical Depressive Features

American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, EarlyView.
ABSTRACT Schizophrenia (SCZ) genetic liability, quantified by polygenic scores (PGS), may influence clinical phenotypes in major depressive disorder (MDD). We investigated the effect of the SCZ‐PGS derived from the latest SCZ genome‐wide association study (GWAS) on MDD symptom severity, comorbidities, and treatment outcomes.
Alessandro Serretti, Daniel Souery, Siegfried Kasper, Joseph Zohar, Stuart Montgomery, Panagiotis Ferentinos, Dan Rujescu, Raffaele Ferri, Giuseppe Fanelli, Chiara Fabbri, Raffaella Zanardi, Francesco Benedetti, Bernhard T. Baune, Julien Mendlewicz   +13 more
wiley   +1 more source

The Whale Optimization Algorithm and Markov Chain Monte Carlo-Based Approach for Optimizing Teacher Professional Development in Creative Learning Design with Technology

Algorithms
In this article, we present a hybrid optimization methodology using the whale optimization algorithm and Markov Chain Monte Carlo sampling technique in a teachers’ training development program regarding creativity in technology-enhanced learning design ...
Kalliopi Rigopouli, Dimitrios Kotsifakos, Yannis Psaromiligkos   +2 more
doaj   +1 more source

Approaches to evaluating measurement uncertainty [PDF]

International Journal of Metrology and Quality Engineering, 2012
The Guide to the expression of measurement uncertainty, (GUM, JCGM 100) and its Supplement 1: propagation of distributions by a Monte Carlo method, (GUMS1, JCGM 101) are two of the most widely used documents concerning ...
Forbes A.B.
doaj   +1 more source

An ontological morphological phylogenetic framework for living and extinct ray‐finned fishes (Actinopterygii)

The Anatomical Record, EarlyView.
Abstract The ray‐finned fishes include one out of every two species of living vertebrates on Earth and have an abundant fossil record stretching 380 million years into the past. The division of systematic knowledge of ray‐finned fishes between paleontologists working on extinct animals and neontologists studying extant species has obscured the ...
Jack Stack
wiley   +1 more source

Regional Shopping Objectives in British Grocery Retail Transactions Using Segmented Topic Models

Applied Stochastic Models in Business and Industry, EarlyView.
ABSTRACT Understanding the customer behaviours behind transactional data has high commercial value in the grocery retail industry. Customers generate millions of transactions every day, choosing and buying products to satisfy specific shopping needs.
Mariflor Vega Carrasco, Mirco Musolesi, Jason O'Sullivan, Rosie Prior, Ioanna Manolopoulou   +4 more
wiley   +1 more source

dalmatian: A Package for Fitting Double Hierarchical Linear Models in R via JAGS and nimble

Journal of Statistical Software, 2021
Traditional regression models, including generalized linear mixed models, focus on understanding the deterministic factors that affect the mean of a response variable.
Simon Bonner, Han-Na Kim, David Westneat, Ariane Mutzel, Jonathan Wright, Matthew Schofield   +5 more
doaj   +1 more source

Accelerating Proximal Markov Chain Monte Carlo by Using an Explicit Stabilized Method

SIAM Journal of Imaging Sciences, 2020
We present a highly efficient proximal Markov chain Monte Carlo methodology to perform Bayesian computation in imaging problems.
M. Pereyra, L. Mieles, K. Zygalakis
semanticscholar   +1 more source

Generative Deep Learning for Advanced Battery Materials

Batteries &Supercaps, EarlyView.
This review explores the role of generative deep learning (DL) in battery materials analysis and highlights the fundamental principles of generative DL and its applications in designing battery materials. The importance of using multimodal data is underscored to effectively address the challenges faced during the development of battery materials across
Deepalaxmi Rajagopal, Adrian Cierpka, Britta Nestler, Arnd Koeppe   +3 more
wiley   +1 more source

Restricted Tweedie stochastic block models

Canadian Journal of Statistics, EarlyView.
Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
wiley   +1 more source

MONTE CARLO MARKOV CHAIN (MCMC) STOCHASTIC MODELING OF SUPPLY CHAIN

Annals: Series on engineering sciences (Academy of Romanian Scientists)
Effective inventory management in multi-echelon supply chains is challenged by stochastic demand and uncertain lead times, which amplify variability and increase operational costs.
Marcel ILIE, Augustin SEMENESCU
doaj   +1 more source