Recall
View article: Predicting mental health treatment outcomes using machine learning: Insights from a global survey dataset
Predicting mental health treatment outcomes using machine learning: Insights from a global survey dataset Open
The issue of mental health is still the major public health problem around the world, and it is strong evidence of the necessity of data-driven approaches for early detection and treatment. The current research applies machine-learning tec…
View article: Clinical and neuropsychological features associated with progression in subjective cognitive decline
Clinical and neuropsychological features associated with progression in subjective cognitive decline Open
Background and objectives Subjective Cognitive Decline (SCD) is recognized as an early indicator of neurodegeneration, yet factors that predict its progression to mild cognitive impairment (MCI) or dementia remains not fully understood. In…
View article: Using Landmarks without Remembering Them: Attribute Amnesia in Landmark-Guided Navigation
Using Landmarks without Remembering Them: Attribute Amnesia in Landmark-Guided Navigation Open
Everyday navigation requires people to use landmark information online while forming longer-term spatial representations. The present study asked whether attribute amnesia (AA) – a failure to report recently attended, task-relevant feature…
View article: Agentic Learner with Grow-and-Refine Multimodal Semantic Memory
Agentic Learner with Grow-and-Refine Multimodal Semantic Memory Open
MLLMs exhibit strong reasoning on isolated queries, yet they operate de novo -- solving each problem independently and often repeating the same mistakes. Existing memory-augmented agents mainly store past trajectories for reuse. However, t…
View article: The Role of Emotional Branding in International Marketing: A Reflection on Emotional Connections Between Brands and Consumers
The Role of Emotional Branding in International Marketing: A Reflection on Emotional Connections Between Brands and Consumers Open
This article explores the role of emotional branding in international marketing, emphasizing the way in which it influences the relationship with the consumer and the positioning of the brand. Through a qualitative analysis of academic and…
View article: Resting-state hippocampal asymmetry as a marker for memory and olfactory deficit in parkinson’s disease
Resting-state hippocampal asymmetry as a marker for memory and olfactory deficit in parkinson’s disease Open
Memory decline is a central cognitive symptom in Parkinson’s Disease (PD). While task-fMRI studies link hippocampal activity (AHA) to poorer memory and olfactory performance, this relationship during rest remains understudied. The objectiv…
View article: An ensemble asthma prediction model for early detection of asthma in children using stacking and blending
An ensemble asthma prediction model for early detection of asthma in children using stacking and blending Open
Asthma disease is a serious worldwide health challenge affecting every age bracket, particularly amongst children. Its widespread has extended to numerous countries. Childhood asthma remains underdiagnosed and insufficiently treated in Nig…
View article: A machine learning approach for classifying date fruit varieties at the Rutab stage
A machine learning approach for classifying date fruit varieties at the Rutab stage Open
Introduction Dates have long been a vital part of the cultural and nutritional heritage of arid regions, particularly in the Middle East. Among their ripening stages, the Rutab stage—an intermediate phase between the Khalal (immature) and …
View article: Transgenerational Inheritance of Odor-Specific Fear Memory: Engram Cell Analysis in F1 Offspring
Transgenerational Inheritance of Odor-Specific Fear Memory: Engram Cell Analysis in F1 Offspring Open
This research illustrates the potential for studying transgenerational genetically modified mice. Male ArcCreERT2 x Ai14-tdTomato mice were used to label neurons activated during fear conditioning in which specific odors were paired with m…
View article: Klasifikasi Tingkat Kemiskinan di Indonesia Menggunakan Naive Bayes dengan RapidMiner
Klasifikasi Tingkat Kemiskinan di Indonesia Menggunakan Naive Bayes dengan RapidMiner Open
Poverty is a multidimensional issue that has a significant impact on social and economic development in Indonesia. Accurate analysis of poverty levels is essential to support government policies in distributing aid and planning targeted de…
View article: Predicting Panic Disorder with Socioeconomic, Physiological, and Behavioral Markers: A Machine Learning Study
Predicting Panic Disorder with Socioeconomic, Physiological, and Behavioral Markers: A Machine Learning Study Open
Panic disorder (PD) is a debilitating psychiatric condition characterized by recurrent, unexpected panic attacks that significantly impair an individual's functioning across multiple domains. Despite its prevalence and impact, early detect…
View article: Machine Learning Reduced Workload for COVID-19 Literature
Machine Learning Reduced Workload for COVID-19 Literature Open
Objectives: To develop, calibrate, and evaluate a machine learning (ML) classifier designed to reduce citation screening workload for COVID-19 research.Methods: Citations from the WHO COVID-19 Research Database were used to train a logisti…
View article: Graph adaptive mix normalization in bundle recommendation: Balancing popularity bias and long-tail effect
Graph adaptive mix normalization in bundle recommendation: Balancing popularity bias and long-tail effect Open
This paper investigates the balancing problem between popularity bias and the long-tail distribution in bundle recommendation systems. Existing approaches often focus exclusively on recommending popular items or solely on recommending long…
View article: Integrating Knowledge Tracing and Multi-Layer Perceptron for Performance Prediction in Higher Education
Integrating Knowledge Tracing and Multi-Layer Perceptron for Performance Prediction in Higher Education Open
With the advancement of information technology in college English teaching, large-scale online learning behavior data from CET-4 and CET-6 provide a basis for intelligent score prediction. This study develops a model integrating graph embe…
View article: Language Models Enable Data-Augmented Synthesis Planning for Inorganic Materials
Language Models Enable Data-Augmented Synthesis Planning for Inorganic Materials Open
Inorganic synthesis planning currently relies primarily on heuristic approaches or machine learning models trained on limited data sets, which constrains its generality. We demonstrate that language models (LMs) without task-specific fine-…
View article: CodeFuse-CommitEval: Towards Benchmarking LLM's Power on Commit Message and Code Change Inconsistency Detection
CodeFuse-CommitEval: Towards Benchmarking LLM's Power on Commit Message and Code Change Inconsistency Detection Open
Version control relies on commit messages to convey the rationale for code changes, but these messages are often low quality and, more critically, inconsistent with their diffs-known as message-code inconsistency (MCI). MCIs mislead review…
View article: Consistent Neural Representation of Affective States between Watching and Recall using fNIRS
Consistent Neural Representation of Affective States between Watching and Recall using fNIRS Open
People tend to recall similar feelings when remembering the same event. Yet the neural mechanisms by which emotional valence and arousal are represented during perception and later recall remain unclear. Here, we used functional near-infra…
View article: Lantern 64: Situational Recall Anchor — A 5/3 Context Management Routine
Lantern 64: Situational Recall Anchor — A 5/3 Context Management Routine Open
Lightweight, zero-dependency context-recovery routine designed for abrupt environmental shifts (social noise, adversarial prompts, task switching). Executes in
View article: Explainable machine learning to predict postoperative ileus after radical cystectomy: an 11-year real-world cohort
Explainable machine learning to predict postoperative ileus after radical cystectomy: an 11-year real-world cohort Open
Background Post-operative ileus (POI) is a frequent complication after radical cystectomy (RC). Conventional scores capture only linear relations and have limited accuracy. Interpretable machine learning (ML) may improve early risk stratif…
View article: Alternative forms of psychological interventions: Trauma and emotional expression
Alternative forms of psychological interventions: Trauma and emotional expression Open
This study examines the subjective meaning-making of psychological trauma among young individuals, through the recollection of personal traumatic experiences, combined with the potential effectiveness of alternative forms of psychological …
View article: Toward an Integrative Model of Flashbacks — The Hippocampal Drive for Coherence
Toward an Integrative Model of Flashbacks — The Hippocampal Drive for Coherence Open
Objective To propose a revised neurobiological framework for traumatic memory that explains the phenomenology of flashbacks not as mere reactivations of fear circuits, but as the hippocampal complex’s ongoing attempt to integrate unprocess…
View article: Mapping cognitive diversity in older adults through community-based digital screening via mobile devices: a cross-sectional latent class analysis
Mapping cognitive diversity in older adults through community-based digital screening via mobile devices: a cross-sectional latent class analysis Open
Introduction Early detection of objective cognitive impairment is essential to delay or prevent dementia; however, traditional in-person screening often faces practical barriers, including limited accessibility and substantial personnel de…
View article: Multi Head Attention Enhanced Inception v3 for Cardiomegaly Detection
Multi Head Attention Enhanced Inception v3 for Cardiomegaly Detection Open
The healthcare industry has been revolutionized significantly by novel imaging technologies, not just in the diagnosis of cardiovascular diseases but also by the visualization of structural abnormalities like cardiomegaly. This article exp…
View article: A cross-domain framework for emotion and stress detection using WESAD, SCIENTISST-MOVE, and DREAMER datasets
A cross-domain framework for emotion and stress detection using WESAD, SCIENTISST-MOVE, and DREAMER datasets Open
Introduction Emotional and stress-related disorders pose a growing threat to global mental health, emphasizing the critical need for accurate, robust, and interpretable emotion recognition systems. Despite advances in affective computing, …
View article: EIoT: edge of things for Parkinson’s disease prediction in healthcare
EIoT: edge of things for Parkinson’s disease prediction in healthcare Open
Edge computing, the Internet of Things (IoT), and artificial intelligence are game changers for emerging delay-sensitive and crisp-response applications and services. Smart systems, such as smart cities, smart health, are the major benefic…
View article: Cataract Surgery, Visual Function, and Neurocognitive Outcomes in Older Adults: A Prospective Monocentric Study
Cataract Surgery, Visual Function, and Neurocognitive Outcomes in Older Adults: A Prospective Monocentric Study Open
Background: Age-related cataract is the leading cause of reversible vision loss and sensory deprivation in the elderly. Increasing evidences suggest that visual restoration through cataract surgery may influence cognitive performance, emot…
View article: Advancing Melanoma Detection: Systematic Review and Development of MelDetect—A Multimodal Deep Learning System
Advancing Melanoma Detection: Systematic Review and Development of MelDetect—A Multimodal Deep Learning System Open
The incidence of melanoma, a highly aggressive form of skin cancer, continues to rise globally. Early detection significantly improves survival rates, as melanoma is visible on the skin’s surface during initial stages. Recent advances in a…
View article: Attentional LSTM-ensemble architecture for intrusion detection in smart grids
Attentional LSTM-ensemble architecture for intrusion detection in smart grids Open
Smart grids integrate real-time communication, computational intelligence, and physical energy infrastructure to improve operational efficiency and adaptability. However, this interconnectivity increases vulnerability to cyber intrusions c…
View article: The effects of delay on objective memory and on the subjective experience of forgetting
The effects of delay on objective memory and on the subjective experience of forgetting Open
Recent years have seen a revived interest in the study of delay-dependent forgetting, with compelling evidence that episodic memories associated with contextual information are susceptible to delay-dependent forgetting. In addition, studie…
View article: Interview Protocol - Engagement
Interview Protocol - Engagement Open
This interview protocol was developed within an FWF-funded ESPRIT project investigating how Mittelschule (MS) learners in Austria engage with English, with their language repertoires, and with school over the course of one academic year. T…