Results 51 to 60 of about 2,454,117 (316)

Neural network algorithm for predicting human speed based on computer vision and machine learning [PDF]

ITM Web of Conferences
The problem of increasing the accuracy of predicting human actions is an urgent task for various human-machine systems. The study examines the solution to the problem of predicting human speed using neural network algorithms, computer vision technologies,
Obukhov Artem, Teselkin Daniil, Surkova Ekaterina, Komissarov Artem, Shilcin Maxim   +4 more
doaj   +1 more source

Theory-based approach to developing an implementation plan to support the adoption of a patient decision aid for Down syndrome prenatal screening

Implementation Science, 2021
Background Our team has developed a decision aid to help pregnant women and their partners make informed decisions about Down syndrome prenatal screening. However, the decision aid is not yet widely available in Quebec’s prenatal care pathways. Objective
Titilayo Tatiana Agbadjé, Matthew Menear, Marie-Pierre Gagnon, France Légaré   +3 more
doaj   +1 more source

Chapter 7 Aging, Memory, and Decision Making

, 2015
Aging differentially affects diverse aspects of memory functioning. In turn, memory changes have specific effects on different judgment and decision-making tasks.
Nilsson, L-G, Del, Missier F, Mäntylä, T   +2 more
core   +1 more source

Clinical and Biological Features of Response in Resistant Neuroblastoma to 131I‐Metaiodobenzylguanidine Radiotherapy in the Anti‐GD2 Immunotherapy Era

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background 131I‐metaiodobenzylguanidine (131I‐MIBG) radiotherapy is a key treatment for relapsed and refractory (R/R) neuroblastoma (NB). Patients with R/R disease treated in the modern era are increasingly exposed to anti‐GD2 immunotherapy, which exerts selective pressure and may modify both tumor cell state and microenvironment.
Benjamin J. Lerman, Katherine K. Matthay, Fabienne Hollinger, Catriona Black, Ann A. Lazar, Miguel Pampaloni, Steven G. DuBois, Kieuhoa T. Vo   +7 more
wiley   +1 more source

A Class of Expected Value Bilevel Programming Problems with Random Coefficients Based on Rough Approximation and Its Application to a Production-Inventory System

Abstract and Applied Analysis, 2013
This paper focuses on the development of a bilevel optimization model with random coefficients for a production-inventory system. The expected value operator technique is used to deal with the objective function, and rough approximation is applied to ...
Liming Yao, Jiuping Xu
doaj   +1 more source

Decision‐making competence and cognitive abilities: Which abilities matter?

, 2022
Decision-making competence is a skill that is associated with numerous positive life outcomes. Even though multiple cognitive abilities have been shown to predict decision-making competence, few studies have incorporated a large test battery tapping into
Gustav Tinghög, Mattias Forsblad, Västfjäll, Daniel, Daniel Västfjäll, Skagerlund, Kenny,, Tinghög, Gustav,, Tinghög, Gustav, Västfjäll, Daniel,, Forsblad, Mattias, Forsblad, Mattias,, Kenny Skagerlund, Skagerlund, Kenny   +11 more
core   +1 more source

Hospitalization Through Families’ Eyes: Comparing Inpatient Care Quality for Children With Sickle Cell Disease and Cystic Fibrosis in Canada

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Sickle cell disease (SCD) is a chronic, inherited hemoglobinopathy that requires frequent hospitalization for disease‐related complications. Canadian data on inpatient care is limited. This study compared caregiver‐reported hospital experiences of children with SCD to those with cystic fibrosis (CF), a chronic, autosomal recessive ...
Hailey M. Zwicker, Kyle Kemp, Perri Tutelman, Sharon H. J. Hou, Paul Fairie, Maria Santana, Gregory M. T. Guilcher, Taryn Fay‐McClymont, Glenda Bendiak, Wendy Pelletier, Nicola Wright, Fiona Schulte   +11 more
wiley   +1 more source

A “C³-TOPSIS-Pareto” Based Model for Identifying Critical Nodes in Complex Networks

Systems
This study addresses the critical challenge of identifying key nodes in complex networks, an essential task for optimizing network stability, efficiency, and resilience.
Ziqiang Zeng, Weiye Zhang, Hongling Jin
doaj   +1 more source

Serological Benefit of SARS‐CoV‐2 Vaccination Relative to Infection in Children With Acute Lymphoblastic Leukemia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with acute lymphoblastic leukemia (ALL) are at risk of severe outcomes from SARS‐CoV‐2 (SCV2). In the post‐pandemic context, where most children have been infected with SCV2, there are limited data on whether vaccination remains beneficial in children with ALL.
Janna R. Shapiro, Freda Qi, Karen Colwill, Alina D. Dorogy, Ying Liu, Michelle Science, Anne‐Claude Gingras, James M. Rini, Sumit Gupta, Sarah Alexander, Shelly Bolotin, Tania H. Watts   +11 more
wiley   +1 more source

A Cost-Optimization Model for Water-Scarcity Mitigation Strategies Towards Differentiated City Types in China

Systems
Water scarcity has become a major bottleneck to global sustainable development, threatening ecosystem security and socio-economic stability. However, previous studies have failed to distinguish regional characteristics of scarcity and to propose cost ...
Ziqiang Zeng, Yuechuan Yang, Xingyou Wang   +2 more
doaj   +1 more source