Predictive power
View article: Essays in empirical asset pricing
Essays in empirical asset pricing Open
This thesis presents three essays on the determinants of risk premia across currency and equity markets. The first essay studies the macroeconomic foundations of currency risk premia using a dataset spanning a century. It decomposes the pr…
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: Infusing Unplugged Computational Thinking into a Probability Worksheet for Students’ Mathematical Literacy
Infusing Unplugged Computational Thinking into a Probability Worksheet for Students’ Mathematical Literacy Open
Objective: This research aims to: 1) develop a worksheet that incorporates unplugged computational thinking (CT) to support the strengthening of mathematical literacy; 2) test the validity, practicality, and effectiveness of the worksheet.…
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: ECR-H: A Drift-Based Framework for LLM Hallucination Control Using First-Token Baselines and Semantic Corridor Monitoring
ECR-H: A Drift-Based Framework for LLM Hallucination Control Using First-Token Baselines and Semantic Corridor Monitoring Open
Large language models (LLMs) exhibit hallucinations—confident but incorrect outputs that undermine reliability in critical applications. Existing mitigation methods focus on reactive detection after problematic tokens have been generated. …
View article: The Origin and Outcome Law: A Practical Guide to Predicting Natural Events (Level 2)
The Origin and Outcome Law: A Practical Guide to Predicting Natural Events (Level 2) Open
This work presents a unified predictive framework that may help anticipate natural events at their early mathematically detectable stages. The model combines Predictive Bioharmonics (PB) — which identifies pre-instability through harmonic …
View article: The Origin and Outcome Law: A Practical Guide to Predicting Natural Events (Level 2)
The Origin and Outcome Law: A Practical Guide to Predicting Natural Events (Level 2) Open
This work presents a unified predictive framework that may help anticipate natural events at their early mathematically detectable stages. The model combines Predictive Bioharmonics (PB) — which identifies pre-instability through harmonic …
View article: Dataset and Code for: Explainable AI for Multifactorial Mortality Risk Assessment in the Northeast Corridor
Dataset and Code for: Explainable AI for Multifactorial Mortality Risk Assessment in the Northeast Corridor Open
This study develops and validates an integrated socioeconomic-environmental risk modeling framework for mortality risk prediction across the Northeast Corridor of the United States. Combining data from the U.S. Census Bureau, Environmental…
View article: How will Social Media Usage impact on Online shopping purchase intention
How will Social Media Usage impact on Online shopping purchase intention Open
This document is a research thesis examining how social media usage influences online shopping purchase intention. It reviews multiple empirical studies and develops a comprehensive framework illustrating how variables such as social influ…
View article: Dataset and Code for: Explainable AI for Multifactorial Mortality Risk Assessment in the Northeast Corridor
Dataset and Code for: Explainable AI for Multifactorial Mortality Risk Assessment in the Northeast Corridor Open
This study develops and validates an integrated socioeconomic-environmental risk modeling framework for mortality risk prediction across the Northeast Corridor of the United States. Combining data from the U.S. Census Bureau, Environ…
View article: ECR-H: A Drift-Based Framework for LLM Hallucination Control Using First-Token Baselines and Semantic Corridor Monitoring
ECR-H: A Drift-Based Framework for LLM Hallucination Control Using First-Token Baselines and Semantic Corridor Monitoring Open
Large language models (LLMs) exhibit hallucinations—confident but incorrect outputs that undermine reliability in critical applications. Existing mitigation methods focus on reactive detection after problematic tokens have been generated. …
View article: How will Social Media Usage impact on Online shopping purchase intention
How will Social Media Usage impact on Online shopping purchase intention Open
This document is a research thesis examining how social media usage influences online shopping purchase intention. It reviews multiple empirical studies and develops a comprehensive framework illustrating how variables such as social influ…
View article: AI-Driven Predictive Exploitability Scoring for Vulnerabilities in Open-Source Components
AI-Driven Predictive Exploitability Scoring for Vulnerabilities in Open-Source Components Open
There has been an expansion in the use of an open-source software (OSS) that has raised security risks of undiscovered threats and the possibility of the exploitation. The traditional scoring methods like the Common Vulnerability Sco…
View article: How will Social Media Usage impact on Online shopping purchase intention
How will Social Media Usage impact on Online shopping purchase intention Open
This document is a research thesis examining how social media usage influences online shopping purchase intention. It reviews multiple empirical studies and develops a comprehensive framework illustrating how variables such as social influ…
View article: How will Social Media Usage impact on Online shopping purchase intention
How will Social Media Usage impact on Online shopping purchase intention Open
This document is a research thesis examining how social media usage influences online shopping purchase intention. It reviews multiple empirical studies and develops a comprehensive framework illustrating how variables such as social influ…
View article: How will Social Media Usage impact on Online shopping purchase intention
How will Social Media Usage impact on Online shopping purchase intention Open
This document is a research thesis examining how social media usage influences online shopping purchase intention. It reviews multiple empirical studies and develops a comprehensive framework illustrating how variables such as social influ…
View article: How will Social Media Usage impact on Online shopping purchase intention
How will Social Media Usage impact on Online shopping purchase intention Open
This document is a research thesis examining how social media usage influences online shopping purchase intention. It reviews multiple empirical studies and develops a comprehensive framework illustrating how variables such as social influ…
View article: AI-Driven Predictive Exploitability Scoring for Vulnerabilities in Open-Source Components
AI-Driven Predictive Exploitability Scoring for Vulnerabilities in Open-Source Components Open
There has been an expansion in the use of an open-source software (OSS) that has raised security risks of undiscovered threats and the possibility of the exploitation. The traditional scoring methods like the Common Vulnerability Scoring S…
View article: SmartCampus.AI Generation Automated Attendance and Student Performance Prediction Framework
SmartCampus.AI Generation Automated Attendance and Student Performance Prediction Framework Open
SmartCampus.AI is an automated system designed to modernize attendance tracking and predict student academic performance using Artificial Intelligence and Machine Learning. This framework integrates face recognition-based attendance monito…
View article: SmartCampus.AI Generation Automated Attendance and Student Performance Prediction Framework
SmartCampus.AI Generation Automated Attendance and Student Performance Prediction Framework Open
SmartCampus.AI is an automated system designed to modernize attendance tracking and predict student academic performance using Artificial Intelligence and Machine Learning. This framework integrates face recognition-based attendance monito…
View article: Empirical Evidence on Mispricing, Trading Volume, and Expected Stock Returns
Empirical Evidence on Mispricing, Trading Volume, and Expected Stock Returns Open
This study investigates the impact of stock mispricing (MISP) on expected returns in China’s A-share market, using monthly data from March 2008 to March 2025. The analysis further examines the moderating effect of trading volume, measured …
View article: Knockoff-ML: a knockoff machine learning framework for controlled variable selection and risk stratification in electronic health record data
Knockoff-ML: a knockoff machine learning framework for controlled variable selection and risk stratification in electronic health record data Open
Effective risk stratification is essential in clinical practice, enabling better resource allocation and improved patient outcomes. Although machine learning models have been widely used for risk prediction and stratification in electronic…
View article: Who struggles to decide? Personality, gender, and career indecision in higher education
Who struggles to decide? Personality, gender, and career indecision in higher education Open
Introduction Career indecision slows progress through university and into work, yet evidence from Middle Eastern settings remains limited. Methods We surveyed 153 Saudi undergraduates across seven programmes and modelled a 12-item Career D…
View article: Wildfire Occurrence In Chile
Wildfire Occurrence In Chile Open
Wildfires pose a major environmental and societal challenge, due to their link with anthropogenic activities and changing climatic conditions. This study aimed to enhance our understanding of the drivers of wildfire occurrence across conti…
View article: How reading competence and age at arrival shape educational outcomes: An analysis of academic success among immigrant students in Germany using data from PISA 2012-2022
How reading competence and age at arrival shape educational outcomes: An analysis of academic success among immigrant students in Germany using data from PISA 2012-2022 Open
Background Germany has one of the largest performance gaps between immigrant and non-immigrant students across all PISA competencies, with disparities persisting even after adjusting for socioeconomic factors. Current large-scale assessmen…
View article: A3T-GCN for FTSE100 Components Price Forecasting
A3T-GCN for FTSE100 Components Price Forecasting Open
We examine the predictive power of a novel hybrid A3T-GCN architecture for forecasting closing stock prices of FTSE100 constituents. The dataset comprises 79 companies and 375,329 daily observations from 2007 to 2024, with node features in…
View article: Comparing the predictive power of the National Early Warning Score (NEWS) and Modified Early Warning Score (MEWS) for ICU admission in respiratory patients during the COVID-19 pandemic: A multicenter cross-sectional study
Comparing the predictive power of the National Early Warning Score (NEWS) and Modified Early Warning Score (MEWS) for ICU admission in respiratory patients during the COVID-19 pandemic: A multicenter cross-sectional study Open
View article: Personality Markers for Common Mental Disorders: A Multi-Trait, Multi-Diagnosis, Multi-Rater Approach
Personality Markers for Common Mental Disorders: A Multi-Trait, Multi-Diagnosis, Multi-Rater Approach Open
Personality science has been slow to translate into clinical prediction, largely because research has focused on broad self-reported trait domains. Although these domains are established risk factors for common mental disorders (CMDs), inc…
View article: Predictive Models and Predictors of Under-5 Mortality Using Machine Learning Techniques: Evidence from the 2022 DHS
Predictive Models and Predictors of Under-5 Mortality Using Machine Learning Techniques: Evidence from the 2022 DHS Open
Background Under-five mortality (U5M) remains a critical public health challenge in Ghana, despite improvements in maternal and child health services. Understanding key determinants is essential to inform targeted interventions. This study…
View article: Development of a time‐dependent random survival forest model for predicting <scp>FGR</scp> based on prenatal screening date
Development of a time‐dependent random survival forest model for predicting <span>FGR</span> based on prenatal screening date Open
Objective Fetal growth restriction (FGR) is a progressive condition that amplifies risks with advancing gestation. This study develops a time‐dependent random survival forest (RSF) model integrating prenatal screening markers to predict FG…