Results 101 to 110 of about 35,199 (318)

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

Revisiting a long‐overlooked skull: Implications for the distribution of Dinodontosaurus brevirostris (Kannemeyeriiformes) in the Brazilian Triassic

The Anatomical Record, EarlyView.
Abstract Dicynodonts (Anomodontia: Dicynodontia) were one of the main groups of terrestrial tetrapods in Permian and Triassic faunas. In Brazil, the genus Dinodontosaurus is one of the most common tetrapod taxon in the Triassic Santa Maria Supersequence. This genus has a complex taxonomic history and is represented in the Triassic of both Argentina and
Julia Lara Rodrigues de Souza, João Lucas Da Silva, Voltaire D. P. Neto, Arielli Fabrício Machado, Juan A. Escobar, Felipe L. Pinheiro   +5 more
wiley   +1 more source

Development of a partially supervised Markov decision-making model for a 3-link collaborative robot-manipulator

Радіоелектронні і комп'ютерні системи
The subject are mathematical models of decision-making under uncertainty in a production environment with human presence. The research objectives: is to form a safe and effective policy for controlling the motion of a three-link collaborative robot ...
Vladyslav Yevsieiev, Dmytro Gurin, Sergii Kulish, Yuliia Voloshyn   +3 more
doaj   +1 more source

Off-Policy Evaluation for Episodic Partially Observable Markov Decision Processes under Non-Parametric Models [PDF]

, 2022
Rui Miao, Zhengling Qi, Xiaoke Zhang
openalex   +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

Interference Coordination Based on POMDP in Multi-Cell OFDMA System

Dianxin kexue, 2013
The inter-cell interference coordination（ICIC）of OFDMA system was studied，and a dynamic ICIC algorithm based on the theory of partially observable Markov decision process（POMDP）was proposed.The statistic model of interference and SINR of channel was ...
Qiang Wei, Tao Yang, Hui Feng, Bo Hu
doaj   +2 more sources

When to monitor or control: Informed invasive species management using a partially observable Markov decision process (POMDP) framework

Methods in Ecology and Evolution
Resource allocation for invasive species management requires information about the size of the invasive population, which may be expensive and time‐consuming to obtain.
Thomas K. Waring, Vera L. J. Somers, Michael A. McCarthy, Christopher M. Baker   +3 more
doaj   +1 more source

Sampling-Based Path Planning and Semantic Navigation for Complex Large-Scale Environments

Robotics
This article proposes a multi-agent path planning and decision-making solution for high-tempo field robotic operations, such as search-and-rescue, in large-scale unstructured environments.
Shakeeb Ahmad, James Sean Humbert
doaj   +1 more source

A Deep Hierarchical Reinforcement Learning Algorithm in Partially Observable Markov Decision Processes

IEEE Access, 2018
In recent years, reinforcement learning (RL) has achieved remarkable success due to the growing adoption of deep learning techniques and the rapid growth of computing power.
Tuyen P. Le, Ngo Anh Vien, TaeChoong Chung   +2 more
doaj   +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