A new method for broad‐scale modeling and projection of plant assemblages under climatic, biotic, and environmental cofiltering by Alessandro Ferrarini (3951098)

“…Our model explained presences and absences of 175 plant species in 608 plots with >87% cross-validated accuracy, predicted decreases in <i>α, β</i>, and <i>γ</i> diversity by 2040 under both moderate and extreme climate scenarios, and identified likely advantaged and disadvantaged plant species under climate change. …”

Assessing the Impact of Artificial Intelligence implementation in Hospitals on Healthcare Economics: A meta‐Analysis by Hussein, Muayyad Mohammad

“…Methods: Leveraging the PRISMA framework, relevant studies were sourced, screened, and selected. …”
Get full text

Lifestyle Disease Surveillance Using Population Search Behavior: Feasibility Study by Shahan Ali Memon (18812038)

“…L1-regularized regression models were trained to predict prevalence rates from denormalized Google Trends indices. …”

Motivated & Engaged: Leveraging Gamification to Reduce Employee Burnout by Barbar, Rana Nizar

“…This study aims to develop and validate a structural framework examining how gamification mediates the relationship between employee engagement, motivation, and burnout within the Lebanese workplace context. …”
Get full text
Get full text
Get full text

Innovation-ICT-cybersecurity: The triad relationship and its impact on growth competitiveness by Yunis, Manal M.

“…Based on a theoretical framework that encompasses the economic growth model, the complementarity theory, and the international law theory, a model that integrates ICT, innovation, and cybersecurity, depicts the relationships amongst them and with growth competitiveness, and incorporates complementary factors with possible moderating effect is presented. …”
Get full text
Get full text
Get full text
Get full text

Drivers of AI Adoption for Project Risk Management in the UAE’s Oil and Gas Industry by AL HAMMADI, ALI HASAN AHMED

“…AI has the potential to improve predictive analytics, decision making, and operational resilience. …”
Get full text

Drivers of AI Adoption for Project Risk Management in the UAE’s Oil and Gas Industry by AL HAMMADI, ALI HASAN AHMED

“…AI has the potential to improve predictive analytics, decision-making, and operational resilience. …”
Get full text

Religiosity & Work Dynamics: Understanding Links to Resilience & Productivity by Elias, Aya Catherina

“…Statistical analyses — including correlations, linear regressions, and moderator testing — revealed that intrinsic religiosity significantly predicts both resilience and productivity. …”
Get full text
Get full text
Get full text