Precision‐Optimised Post‐Stroke Prognoses
ABSTRACT Background Current medicine cannot confidently predict who will recover from post‐stroke impairments. Researchers have sought to bridge this gap by treating the post‐stroke prognostic problem as a machine learning problem, reporting prediction error metrics across samples of patients whose outcomes are known.
Thomas M. H. Hope+4 more
wiley +1 more source
Behavioural Biases and Investor Decisions [PDF]
The paper examines the impact of behavioural biases (i.e. cognitive and emotional biases) on investor decisions at the Pakistan Stock Exchange. The data was collected from a sample of 385 active investors in the stock market through a pre-tested ...
Rehan, Raja, Umer, Imran
core +1 more source
The charm of structural neuroimaging in insanity evaluations. guidelines to avoid misinterpretation of the findings [PDF]
Despite the popularity of structural neuroimaging techniques in twenty-first-century research, its results have had limited translational impact in real-world settings, where inferences need to be made at the individual level.
Ferracuti, S.+3 more
core +3 more sources
An Analysis for IDH‐Mutant Grade 4 Astrocytoma Based on WHO CNS 5: Implication of Clinical Practice
ABSTRACT Purpose There is ongoing debate regarding the therapeutic approach and prognosis for IDH‐mutant grade 4 astrocytoma, a newly defined subtype of diffuse glioma in the 2021 WHO classification system for central nervous system tumors (WHO CNS 5). The aim of this study was to explore the clinical outcome and prognosticators for newly diagnosed IDH‐
Xianxin Qiu+13 more
wiley +1 more source
Trends and Financial Variations in Executive Confidence: A Decade-Long Analysis [PDF]
The present research is an endeavour to measure the extent of overconfidence bias among Chief Executive Officers (CEOs) in India. Additionally, this investigation seeks to examine the financial disparities among firms led by CEOs exhibiting different ...
Diksha SAINI, Balwinder SINGH
doaj +1 more source
Perceiving Pain in Others: Automatic and Controlled Mechanisms [PDF]
A
Baird+93 more
core +2 more sources
ABSTRACT Objective Despite the availability of effective therapies for Multiple Sclerosis (MS), the unpredictable nature of disease progression and the variability in individual treatment outcomes call for reliable biomarkers. This pilot study aims to investigate the potential of plasma circulating microRNAs (miRNAs) as predictive biomarkers for ...
Fortunata Carbone+19 more
wiley +1 more source
Genetic Diversity and Expanded Phenotypes in Dystonia: Insights From Large‐Scale Exome Sequencing
ABSTRACT Objective Dystonia is one of the most prevalent movement disorders, characterized by significant clinical and etiological heterogeneity. Despite considerable heritability (~25%), the etiology in most patients remains elusive. Moreover, understanding correlations between clinical manifestations and genetic variants has become increasingly ...
Mirja Thomsen+47 more
wiley +1 more source
The Neutrality Illusion: Biased Economics, Biased Training, and Biased Monetary Policy. Testing the Role of Ideology on FOMC Voting Behaviour [PDF]
This research is trying to shed light on two myths that are usually widespread: the first one being the idea of the academic economist as a neutral scientist finding uncontestable consensual truths, thanks to uncontestable empirical methods, the second, the idea of the central banker as a Weberian neutral bureaucrat setting aside personal beliefs to ...
openaire +3 more sources
Consumer behavioural biases in competition: A survey [PDF]
This is a survey of studies that examine competition in the presence of behaviourally biased or boundedly rational consumers. It will tackle questions such as: How does competition and pricing change when consumers are biased?
Huck, Steffen, Zhou, Jidong
core +1 more source