Physicians' ethical concerns about artificial intelligence in medicine: a qualitative study: .

Background/aim: Artificial Intelligence (AI) is the capability of computational systems to perform tasks that require human-like cognitive functions, such as reasoning, learning, and decision-making. Unlike human intelligence, AI does not involve sentience or consciousness but focuses on data processing, pattern recognition, and prediction through algorithms and learned experiences. In healthcare including neuroscience, AI is valuable for improving prevention, diagnosis, prognosis, and surveillance.

Unlocking the neural mechanisms of consumer loan evaluations: an fNIRS and ML-based consumer neuroscience study.

Introduction: This study conducts a comprehensive exploration of the neurocognitive processes underlying consumer credit decision-making using cutting-edge techniques from neuroscience and machine learning (ML). Employing functional Near-Infrared Spectroscopy (fNIRS), the research examines the hemodynamic responses of participants while evaluating diverse credit offers.

Methods: The experimental phase of this study investigates the hemodynamic responses collected from 39 healthy participants with respect to different loan offers.

Unraveling neural pathways of political engagement: bridging neuromarketing and political science for understanding voter behavior and political leader perception.

Introduction: Political neuromarketing is an emerging interdisciplinary field integrating marketing, neuroscience, and psychology to decipher voter behavior and political leader perception. This interdisciplinary field offers novel techniques to understand complex phenomena such as voter engagement, political leadership, and party branding.

Methods: This study aims to understand the neural activation patterns of voters when they are exposed to political leaders using functional near-infrared spectroscopy (fNIRS) and machine learning methods.

Green Supplier Selection Using Fuzzy Multiple-Criteria Decision-Making Methods and Artificial Neural Networks.

In recent years, environmental awareness has increased considerably, and in order to decrease endangerments such as air and water pollution, and also global warming, green procurement should be employed. Therefore, in the assessment of suppliers, their environmental performance should be taken into consideration along with other criteria for supplier selection. Raising awareness of sustainability in production and conservation and protection of the environment is very important both for the whole environment and for the company itself by increasing its competitive advantage.

Incidental observation of pre-eruptive intracoronal resorption after seven years.

Pre-eruptive intracoronal resorption (PIER) can be described by the presence of coronal radiolucency in a unerupted tooth. Upon eruption, the resorbed dentine might leave the occlusal layer of enamel unsupported and susceptible to fracture, potentially exposing the pulp chamber and root canals to the oral flora. With current case studies showing unfavourable endodontic and restorative consequences of PIER lesions when left untreated, this case report presents an unchanged lesion, 7 years following initial identification.

DEK protein level is a biomarker of CD138positive normal and malignant plasma cells.

Overexpression of DEK oncogene is associated with increased proliferation of carcinoma cells and it is observed in several solid tumors due to the amplification of the 6p22.3 chromosomal region where DEK locates. Although the same chromosomal amplification occurs in multiple myeloma (MM), a plasma cell neoplasm, whether the expression and the copy number of the DEK gene are affected in MM remains elusive.

Caries experience of children in primary schools with long-term tooth brushing programs: A pilot Australian study.

Objective: The aim of this study was to evaluate a primary school-based tooth brushing (TB) program conducted in a low socio-economic area of Queensland, Australia, to determine its effectiveness in reducing caries.

Methods: Records kept at the central dental clinic of the district were used to analyse the caries experience (decayed, missing, filled teeth [dmft/DMFT]) and caries prevalence in children from two schools with long-term TB programs (TB) (N=1191) and three Non-TB schools (N=553). The schools were matched by socio-economic indices.

Solving Single Machine Total Weighted Tardiness Problem with Unequal Release Date Using Neurohybrid Particle Swarm Optimization Approach.

A particle swarm optimization algorithm (PSO) has been used to solve the single machine total weighted tardiness problem (SMTWT) with unequal release date. To find the best solutions three different solution approaches have been used. To prepare subhybrid solution system, genetic algorithms (GA) and simulated annealing (SA) have been used.

Ethical Issues in Neuromarketing: "I Consume, Therefore I am!".

Neuromarketing is a recent interdisciplinary field which crosses traditional boundaries between neuroscience, neuroeconomics and marketing research. Since this nascent field is primarily concerned with improving marketing strategies and promoting sales, there has been an increasing public aversion and protest against it. These protests can be exemplified by the reactions observed lately in Baylor School of Medicine and Emory University in the United States.