Image Generation Inspired by Electroencephalography for Neuromarketing Applications Using Extracted Features from Transformer-Based Models
Abstract
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Image Generation Inspired by Electroencephalography for Neuromarketing Applications Using Extracted Features from Transformer-Based ModelsAbstract
The design of products in Neuromarketing using machine learning methods has been a continuous challenge in Computer-aided design. Previously, deep learning techniques have been applied to generate random images for domains such as furniture, fashion, and product design. However, using deep generative methods requires a large amount of data and overlooks human aspects in the design process. This paper aims to extract human perceptual factors from brain signals using a Transformer-based model and involve them in arti [...] 114 247 |
Migraine Surgery: Assessment of the Prevalence and Surgical Outcomes of Different Trigger SitesAbstract
Migraine surgery is primarily indicated for patients with chronic migraine who are refractory to conventional pharmacological treatments. The procedure aims to deactivate peripheral trigger sites—anatomical zones where migraines can be triggered by nerve compression and irritation. The most common trigger areas are the frontal, occipital, and temporal. This review seeks to analyse the prevalence of treatment and corresponding success rates for these three main trigger sites. A systematic review was conducted on Pub [...] 160 493 |
Aversion But Not Aggression: Emotional Traits of KM Rats in Sociability Testsby
Abstract
The inbred Krushinsky-Molodkina (KM) rat strain, characterized by latent genetic epilepsy, reduced social motivation, and a high propensity for freezing, is a promising model for translational research of social deficits in autism spectrum disorder (ASD). In clinical practice, social deficits often lead to social withdrawal and can be accompanied by aggression. It was unknown if KM rats exhibit such aggression during inescapable social encounters. We assessed intraspecific aggression in KM and control rats using th [...] 149 448 |
Examining the Pre-Hospital Workflow of Stroke Patients Referred with Code SAMA (724) and their Outcome in the Emergency Department of Imam Reza Hospital (AS)by
Abstract
The "Sama Code" is a protocol implemented in Iranian pre-hospital emergency services to manage time and treat patients with suspected stroke symptoms based on the FAST criteria. This study aims to analyze the workflow of patients with stroke symptoms transferred under the Sama Code. All patients with neurological symptoms who were brought to Imam Reza Hospital by pre-hospital emergency services after activating the Sama Code during the years 2021 and 2022 were included in the study. Data were collected from pre-hos [...] 110 355 |
The Impact of Governmental and Workplace Measures on the Employment Sustainability of Chronically Ill IndividualsAbstract
Using a two-stage qualitative design (Stage 1: expert interviews; Stage 2: biographical interviews with people with MS), existing governmental and organizational support measures for maintaining the work capacity of individuals with multiple sclerosis (MS) were analyzed, and proposals for improvement were developed. Additional state support measures were proposed, including relaxing the criteria for state assistance, creating a centralized contact point for MS-specific inquiries, and enhancing collaboration between [...] 205 562 |
Advancing Mathematical Learning in Children and Adolescents with Autism Spectrum Disorder through Serious Games and Educational Robotics: A Mini ReviewAbstract
Mathematical learning often presents persistent challenges for children and adolescents with Autism Spectrum Disorder (ASD) due to differences in Executive Functioning (EF), cognitive flexibility, and symbolic reasoning. These factors can hinder the development of numerical understanding and pre-mathematical reasoning, problem-solving, and abstract thinking, frequently resulting in disengagement and anxiety. In recent years, digital and embodied technologies—particularly Serious Games (SG) and Educational Robotics [...] 411 1152 |
Exposure to Mycotoxins: Neurological Disorders and Psychiatric ManifestationsAbstract
Mycotoxins, toxic secondary metabolites produced by fungi and molds, have negative health impacts on both humans and animals. They are commonly found in foods such as nuts, coffee, cereals, and grains, particularly in regions with warm, humid climates. Among the most prevalent mycotoxins in these foods are aflatoxin B1, ochratoxin A, zearalenone, patulin, and deoxynivalenol (DON). The presence of mold capable of producing mycotoxins within food contributes to an elevated risk of various illnesses, including those r [...] 578 1447 |
Targeting Neuroinflammation in Difficult-to-Treat Depression: From Anti-Inflammatory Agents to Multi-Target Immunopsychiatric InterventionsAbstract
Difficult-to-treat depression (DTD) with inflammatory features (e.g., hs-CRP ≥3 mg/L and/or elevated IL-6) may represent a clinically and biologically distinct presentation characterized by chronicity, functional impairment, prominent cognitive-motivational symptoms, and suboptimal response to conventional treatments. Classical anti-inflammatory strategies (e.g., COX-2 inhibitors or cytokine-targeting biologics) have shown signals of efficacy in selected biomarker-enriched subgroups; however, overall evidence remai [...] 569 1598 |
Optimizing Psychopharmacotherapy Using Personality Biomarkers: A Seven-Factor Model PerspectiveAbstract
Personalized psychopharmacotherapy remains a critical yet underdeveloped frontier in psychiatry, as traditional approaches often fail to address substantial interindividual variability in drug efficacy and tolerability. While demographic, clinical, and genetic factors have improved treatment precision, they do not fully account for observed heterogeneity. Recent advances highlight the promise of personality traits, particularly as operationalized by Cloninger’s Seven-Factor Model, as novel biomarkers for treatment [...] 324 905 |
Evidence for an Impact of Super Skills for Life on Emotional and Behavioral Difficulties in Greek Anxious ChildrenAbstract
Super Skills for Life (SSL) is a transdiagnostic psychoeducational program designed for children with anxiety and depressive symptoms based on cognitive-behavioral therapy. Empirically documented studies to date have demonstrated its immediate and long-term effectiveness in different contexts. The aim of this study was to assess the efficacy of the SSL program to reduce emotional and behavioral difficulties in a clinical sample of Greek-speaking primary school children aged 6 to 12. The program was implemented over [...] 300 994 |
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