Results 31 to 40 of about 7,036,429 (247)

Resistance to medical artificial intelligence is an attribute in a compensatory decision process: response to Pezzo and Becksted (2020) [PDF]

, 2020
In Longoni et al. (2019), we examine how algorithm aversion influences utilization of healthcare delivered by human and artificial intelligence providers.
Bonezzi, Andrea, Morewedge, Carey, Longoni, Chiara   +2 more
core   +1 more source

Motor imagery perspective shapes corticospinal excitability with effector-specific effects

Scientific Reports
Motor imagery (MI) allows individuals to mentally simulate movements without execution, engaging neural pathways that overlap with those used during real actions.
Gleb Perevoznyuk, Artyom Batov, Aleksandra Pleskovskaya, Anthony Mensah, Daria Ponomareva, Oleg Shevtsov, Aynur Ragimova, Victoria Moiseeva, Matteo Feurra   +8 more
doaj   +1 more source

Solid Pseudopapillary Neoplasm of the Pancreas in Children and Adolescents: Expert Recommendations

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Solid pseudopapillary neoplasm of the pancreas (SPN) is a rare low‐grade malignant exocrine pancreatic tumor, mostly discovered during the second decade of life in females, with a very good prognosis, provided microscopically complete surgical excision is achieved.
Sabine Irtan, Michael Abele, Calogero Virgone, Michaela Kuhlen, Ricardo Lopez‐Almarez, Tal Ben‐Ami, Ewa Bien, Maja Cesen, Malgorzata A. Krawczyk, Andrea Ferrari, Gianni Bisogno, Yves Reguerre, Dominik T. Schneider, Louise Galmiche, Jorg Fuchs, Sarah Braungart, Bilgehan Yalcin, Ines B. Brecht, Daniel Orbach   +18 more
wiley   +1 more source

Affect and prosocial behavior : The role of decision mode and individual processing style

, 2022
We study the effects of experimental manipulation of decision mode (rational "brain" vs. affective "heart") and individual difference in processing styles (intuition vs. deliberation) on prosocial behavior. In a survey experiment with a diverse sample of
Gartner, Manja,, Västfjäll, Daniel, Andersson, David,, Tinghög, Gustav,, Tinghög, Gustav, Västfjäll, Daniel,, Andersson, David, Gartner, Manja   +7 more
core   +1 more source

Cascading Failure Modeling and Resilience Analysis of Coupled Centralized Supply Chain Networks Under Hybrid Loads

Systems
As manufacturing and logistics-oriented supply chains continue to expand in scale and complexity, and the coupling between their physical execution layers and information–decision layers deepens, the resulting high interdependence within the system ...
Ziqiang Zeng, Ning Wang, Dongyu Xu, Rui Chen   +3 more
doaj   +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

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

Ovarian Sex Cord Stromal Tumors in Children and Adolescents—The European Standard Clinical Practice Recommendations

Pediatric Blood &Cancer, EarlyView.
ABSTRACT As part of the European Cooperative Study Group for Paediatric Rare Tumours initiative, we developed standard clinical practice guidelines for ovarian sex cord stromal tumors, based on comprehensive national and international cohort analyses, literature review, and a final expert consensus conference.
Dominik T. Schneider, Kris‐Ann Schultz, Nora Schnitzler, Michael Abele, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Ines B. Brecht, Maja Cesen, Andrea Ferrari, Michaela Kuhlen, Malgorzata A. Krawczyk, Ricardo Lopez‐Almaraz, Yves Reguerre, Calogero Virgone, Daniel Orbach   +15 more
wiley   +1 more source

Can asymmetric subjective opportunity cost effect explain impatience in intertemporal choice? A replication study

, 2019
In "The value of nothing: asymmetric attention to opportunity costs drives intertemporal decision making" Read, Olivola and Hardisty (2017) proposed an asymmetric subjective opportunity cost (ASOC) effect to explain and predict why impatience can be ...
Huang, Yuan-Na, Shen, Si-Chu, Jiang, Cheng-Ming, Li, Shu   +3 more
core   +3 more sources

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