Exendin-4 promotes GSIS without increasing β-cell number through upregulation of glucose-sensing apparatus and mitochondrial oxidative phosphorylation machinery genes in hPSC-deriv... by Abdoulaye Diane (14152749)

“…</p> <p>Conclusion: Our data demonstrated for the first time in 3D differentiation of hPSC-derived β-cells that addition of Exendin-4 promotes GSIS through upregulation of both glucose-sensing apparatus and mitochondrial oxidative phosphorylation machinery genes without increasing β-cell number.…”

Ensemble-Guard IoT: A Lightweight Ensemble Model for Real-Time Attack Detection on Imbalanced Dataset by Muhammad Usama Tanveer (22225360)

“…<p dir="ltr">The rapid increase in the number of IoT devices has made ensuring robust real-time attack detection more critical than ever. …”

Driving against the clock: Investigating the impacts of time pressure on taxi and non-professional drivers’ safety and compliance by Qinaat Hussain (15294164)

“…<p>Drivers often encounter time pressure, which can lead to riskier driving habits, decreased safety margins, and a higher chance of accidents. …”

From time-series to 2D images for building occupancy prediction using deep transfer learning by Aya Nabil Sayed (17317006)

“…The proposed scheme transforms multivariate time-series data into images for better encoding and extracting relevant features. …”

Design and Evaluation of a Just-in-Time Adaptive Intervention (JITAI) to Reduce Sedentary Behavior at Work: Experimental Study by Tasnim Ismail (18418554)

“…</p><h3>Objective</h3><p dir="ltr">The objective of this paper is to investigate the effectiveness of using personalized messages that include user information, user goals, daily routine, and the surrounding environment to increase the level of activity among employees. In this study, we hypothesize that sending context-aware motivational messages to workers in sedentary occupations after sitting for 40 minutes can break sedentary behavior and increase daily active time compared to static reminder messages.…”

On Time-Dependent Rheology of Sutterby Nanofluid Transport across a Rotating Cone with Anisotropic Slip Constraints and Bioconvection by Sohaib Abdal (21347810)

Influence of hosting the world’s most popular football competition on Response and Transport Time of Ground Emergency Ambulances in Qatar by Reem Bassam Tluli (18505131)

“…Response and transport times were shortest during that period despite an increase in the population size. …”

Economic Statistical Design Of (X)Over-Bar Control Charts For Systems With Gamma(Lambda, 2) In-Control Times by Al-Oraini, H.A.

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Economic Statistical Design Of (X)Over-Bar Control Charts For Systems With Gamma (Lambda,2) In-Control Times by Al-Oraini, H.A.

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Does the CEO effect differ in times of crisis? Evidence from US and China during the global financial crisis by Kleindienst, Ingo

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PFT: A Novel Time-Frequency Decomposition of BOLD fMRI Signals for Autism Spectrum Disorder Detection by Samir Brahim Belhaouari (9427347)

“…Our research proposes Progressive Fourier Transform (PFT), a novel time-frequency decomposition, together with a Convolutional Neural Network (CNN), as a preferred alternative to available ASD detection systems. …”

Screen Time Soars and Vision Suffers: How School Closures During the Pandemic Affected Children and Adolescents’ Eyesight by Muna Abed Alah (18336771)

“…School closures in Qatar were associated with a significant increase in screen time among students and a notable decline in their visual acuity. …”

LLMs Have Rhythm: Fingerprinting Large Language Models Using Inter-Token Times and Network Traffic Analysis by Saeif Alhazbi (17058108)

“…We find that measuring the Inter-Token Times (ITTs)–time intervals between consecutive tokens-can identify different language models with high accuracy. …”

Predictive modelling in times of public health emergencies: patients’ non-transport decisions during the COVID-19 pandemic by Hassan Farhat (9000509)

Surgical Management of Hepatic Benign Disease: Have the Number of Liver Resections Increased in the Era of Minimally Invasive Approach? Analysis from the I Go MILS (Italian Group o... by Ardito, Francesco

“…During the same period, 3713 liver resections (open + MILS) were performed and 407 (11.0%) were for BD. A time-trend analysis showed that the total number of MILS and the number of MILS for malignant disease significantly increased, but this increasing trend was not documented for the number of MILS for BD, which remained stable during the study period of time. …”
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Bulk passivation of perovskite films utilizing halide anion ionic liquids by Alashkar, Adnan

“…The decay of charge carriers within the perovskite film before and after passivation with ILs was measured by Time Resolved Photoluminescence Spectroscopy (TRPL). …”
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The Integration of AI Into Quality Management in Industries Like Automotive, Healthcare, and Defence by ROBARI, SAUD HASSAN

“…The findings reveal that AI significantly enhances real-time monitoring, defect detection, and predictive maintenance, contributing to improved product quality and operational resilience. …”
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Simulation study of a coincidence detection system for non-invasive determination of arterial blood time-activity curve measurements by Yassine Toufique (8252550)

“…<h3>Background</h3><p dir="ltr">Arterial sampling in PET studies for the purposes of kinetic modeling remains an invasive, time-intensive, and expensive procedure. Alternatives to derive the blood time-activity curve (BTAC) non-invasively are either reliant on large vessels in the field of view or are laborious to implement and analyze as well as being prone to many processing errors. …”

Comparative effectiveness of one versus two doses of COVID-19 vaccines in Qatar: Evidence of converging protection over time by Hiam Chemaitelly (439114)

Stochastic forecasting of COVID-19 daily new cases across countries with a novel hybrid time series model by Chakraborty, Tanujit

“…Soon after, the infected cases and mortality increased rapidly. The future of the pandemic’s progress was uncertain, and thus, predicting it became crucial for public health researchers. …”
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