Results 121 to 130 of about 226,975 (333)

How Should Property Investors Make Decisions Amid Heightened Uncertainty: Developing an Adaptive Behavioural Model Based on Expert Perspectives

Buildings
In a significant transition from classical theories of efficient markets and perfectly rational investors, the recent literature has increasingly acknowledged the importance of the human element and external market conditions in decision-making. However,
Albert Agbeko Ahiadu, Rotimi Boluwatife Abidoye, Tak Wing Yiu   +2 more
doaj   +1 more source

Investigating self-efficacy and behavioural bias on investment decisions

, 2023
Kuppusamy Srinivasan, P. Karthikeyan
openalex   +1 more source

The entropy theory implications in behavioural finance [PDF]

Understanding the decisional phenomenon in the modern capital markets is impossible nowadays without the psychological component of the investor’s attitude. A large number of the behavioural finance theories are based on a limited number of psychological
Aurora MURGEA
core  

Nudges and information are means to assist conventional forms of policy implementation [PDF]

, 2013
It has long been understood that human beings approach problems with a set of pre-set biases, which influence them toward certain kinds of ‘unexpected’ behaviours from a classical economics standpoint.
John, Peter
core  

Impact of APOE ε4 Genotype Load on Cognitive Function and Lipid Metabolism in Patients With Cerebral Small Vessel Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Apolipoprotein ε4 (APOE ε4) is a potent genetic risk factor for Alzheimer's disease (AD). However, its role in cerebral small vessel disease (CSVD) remains unclear. Given the clinical and pathological similarities between CSVD and AD, this study aimed to investigate the associations of APOE ε4 gene dosage with cognitive function and
Tingru Jin, Haocheng Yang, Feng Liu, Sihao Lin, Junru Hu, Jian Wang, Yulan Gou   +6 more
wiley   +1 more source

The Relationship Between Inflammation and Central Nervous System in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Aim Multiple sclerosis is an autoimmune demyelination disease that is seen especially in the young population and has a progressive course, causing motor, sensory, and cognitive deficits. In the literature, the pathogenesis of MS disease and the interconnection between the immune and central nervous system in the disease have not been fully ...
Gamze Ansen, Ali Behram Salar, Abdulkadir Ermis, Erkingul Birday, Lutfu Hanoglu, Bayram Ufuk Sakul   +5 more
wiley   +1 more source

UKCES: Understanding Human Centred Management [PDF]

, 2016
The Understanding Human Centred Management Project is a research project funded by the UK Commission for Employment and Skills to investigate the effectiveness of a behavioural framework on the communication and decision making of supply chains.The Human
Birch, Catherine S., Bonwick, Graham A., York, Peter   +2 more
core  

Network Localization of Fatigue in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Fatigue is among the most common symptoms and one of the main factors determining the quality of life in multiple sclerosis (MS). However, the neurobiological mechanisms underlying fatigue are not fully understood. Here we studied lesion locations and their connections in individuals with MS, aiming to identify brain networks ...
Olli Likitalo, Jaakko Kungshamn, Albert Bellmunt‐Gil, Silvia Tommasin, Abhineet Ojha, Matias Viitala, Juho Aaltonen, Jyrki Lötjönen, Juha Koikkalainen, Pauli Ylikotila, Patrizia Pantano, Merja Soilu‐Hänninen, Juho Joutsa   +12 more
wiley   +1 more source

Interview expectancies: awareness of potential biases influences behaviour in interviewees [PDF]

, 2019
Nicole Adams, Robert Horselenberg, Josephine Hubert, Aldert Vrij, P.J. van Koppen   +4 more
openalex   +1 more source

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source