Results 51 to 60 of about 58,870 (263)

Entrepreneurial decision-making using the knightian uncertainty approach

RAUSP: Revista de Administração da Universidade de São Paulo, 2013
The article discusses the behavioral aspects that affect the entrepreneurs' decision making under the Knightian uncertainty approach. Since the profit arising from entrepreneurial activity represents the reward of an immeasurable and subjective risk, it ...
Maria Sylvia Macchione Saes, André Cavalcanti Rocha Martins, Paula Sarita Bigio Schnaider   +2 more
doaj   +1 more source

Bounded rationality, enactive problem solving, and the neuroscience of social interaction

Frontiers in Psychology, 2023
This article aims to show that there is an alternative way to explain human action with respect to the bottlenecks of the psychology of decision making. The empirical study of human behaviour from mid-20th century to date has mainly developed by looking ...
Riccardo Viale, Riccardo Viale, Shaun Gallagher, Shaun Gallagher, Vittorio Gallese, Vittorio Gallese   +5 more
doaj   +1 more source

Artificial Intelligence‐Driven Extraction of Patient‐Reported Pain Outcomes in Osteoarthritis Using Large Language Models

Arthritis Care &Research, Accepted Article.
Objective Patient‐reported outcome measures (PROMs) are central to assessing symptom burden and treatment response in Osteoarthritis (OA) but are often embedded in unstructured clinical notes. We evaluated whether prompt‐engineered large language models (LLMs) could accurately extract or infer pain scores on a 0‐10 scale from routine OA clinical ...
Jainesh Doshi, Stephen Batter, Yiyuan Wu, William Salerno, Alice Santilli, Sandhya Kannayiram, Susan Goodman, Bella Mehta   +7 more
wiley   +1 more source

Fuzzy-based Description of Computational Complexity of Central Nervous Systems

Journal of Telecommunications and Information Technology, 2020
Computational intelligence algorithms are currently capable of dealing with simple cognitive processes, but still remain inefficient compared with the human brain’s ability to learn from few exemplars or to analyze problems that have not been defined in an
Piotr Prokopowicz, Dariusz Mikołajewsk, Krzysztof Tyburek, Piotr Kotlarz   +3 more
doaj   +1 more source

THE HARSANYI-RAWLS DEBATE: POLITICAL PHILOSOPHY AS DECISION THEORY UNDER UNCERTAINTY

Manuscrito, 2021
Social decisions are often made under great uncertainty - in situations where political principles, and even standard subjective expected utility, do not apply smoothly. In the first section, we argue that the core of this problem lies in decision theory
RAMIRO ÁVILA PERES
doaj   +1 more source

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source

The Stochastic Implications of Permanent Income Hypothesis for US Speculative Traders: Implications for Consumption-Based Asset Pricing

Croatian Economic Survey, 2018
This paper examines the stochastic implications of permanent income hypothesis for speculative prices from a sample of economic data from 1967 to 2017 in the United States.
Chamil W. Senarathne, Wei Jianguo
doaj   +1 more source

Soft Robotic Excretory Care Simulator for Nursing Education: Functional and Perceptual Biomimetics Approach

Advanced Robotics Research, EarlyView.
A soft robotic simulator is developed to replicate the digital removal of feces (DRF), a sensitive yet essential nursing procedure. Integrating soft actuators, sensors, and a realistic rectal model, the simulator balances functional fidelity with perceptual realism. Engineering evaluations and nurse feedback confirm its potential to enhance training in
Shoko Miyagawa, Sota Suzuki, Shizuka Watanabe, Zebing Mao, Young Ah Seong, Toshinori Fujie, Tatsuhiro Horii, Kenjiro Tadakuma, Koichi Suzumori, Hiroyuki Nabae, Shingo Maeda   +10 more
wiley   +1 more source

Utility of the NIH Toolbox for assessment of prodromal Alzheimer's disease and dementia

Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, 2018
Introduction The NIH Toolbox Cognition Battery (NIHTB‐CB) is a computer‐based protocol not yet validated for clinical assessment. Methods We administered the NIHTB‐CB and traditional neuropsychological tests to 247 Memory Disorders and Alzheimer's ...
Katherine Hackett, Robert Krikorian, Tania Giovannetti, Josefina Melendez‐Cabrero, Aneela Rahman, Emily E. Caesar, Jaclyn L. Chen, Hollie Hristov, Alon Seifan, Lisa Mosconi, Richard S. Isaacson   +10 more
doaj   +1 more source

Auditory–Tactile Congruence for Synthesis of Adaptive Pain Expressions in RoboPatients

Advanced Robotics Research, EarlyView.
In this work, we explore auditory–tactile congruence for synthesizing adaptive vocal pain expressions in robopatients. Using a robopatient platform that integrates vocal pain sounds with palpation forces, we conducted 7680 trials across 20 participants.
Saitarun Nadipineni, Chapa Sirithunge, Yue Xie, Fumiya Iida, Thilina Dulantha Lalitharatne   +4 more
wiley   +1 more source