Conflict in Ukraine and the unsettling ripples: implications on food systems and development in North Africa by Tarek Ben Hassen (15742605)

“…This paper aims to analyze the impact of the conflict on food security in North Africa and the potential long-term consequences for the global food system. The research explores both scholarly and grey literature, including government reports, academic articles, and news articles. …”

Predicting Compression Modes and Split Decisions for HEVC Video Coding Using Machine Learning Techniques by Hassan, Mahitab Alaaeldin

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Reliability of high strain ionomeric polymer transducers fabricated using the direct assembly process by Akle, Barbar

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Reduction of laboratory utilization in the intensive care unit by Diab, Khalil

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Organizational climate and its effects on the employees commitment by El-Kassar, Abdul-Nasser

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Chemical characterization and cytotoxic activity evaluation of Lebanese propolis by Faour, Wissam H.

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Effects of Social Media Use and Dependence on Dietary Intake and Prevalence of Orthorexia in Pregnant and Non-Pregnant Women by Issa, Yara

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Andrographolide pre-treatment enhances the anti-tumor activity of topotecan on acute myeloid leukemia cells in vitro by Rizk, Sandra

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Initial risk assessment for pulmonary hypertension in patients with COPD by Yammine, Joe

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Development and Mechanical Performance of Sustainable Geopolymer Concrete by Zannerni, Ghina M.

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A Study of the Impact of the Climate and Land-use/Land-cover (LULC) Changes on the UAE Mangrove Forests over the Period 1990-2020 by Raihan, Asif

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Wind shear coefficient, turbulence intensity and wind power potential assessment for Dhulom, Saudi Arabia by Rehman, Shafiqur

“…The study also includes the local values of air density calculated using temperature and pressure measurement made at 2 m AGL during the same period. The mean wind speed above 4 m/s and the standard deviation values were used to obtain the turbulence intensities (TI) at different heights. …”
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A new perspective on cardiovascular drift during prolonged exercise by Amine Souissi (9931616)

“…<p dir="ltr">Prolonged exercise induces cardiovascular drift, which is characterized by decreasing mean arterial pressure (MAP), stroke volume and heart rate increase. …”

Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network by Fares Almomani (12585685)

“…An ANN model consists of three layers, 15 neutrons and 260 <i>epochs</i> accurately predict the CMP with 99.1% of data within ±10% deviation of the mean experimental value. The developed model can be used to forecast the CMP as a function of operating temperature, the substrate composition, and chemical dose, and can be used for scaling-up and cost analysis purposes.…”

Maternal Body Mass Index and Recommended Gestational Weight Gain in a Middle Eastern Setting by Tawa Olukade (11619453)

“…</p><h3>Results</h3><p dir="ltr">The mean maternal age was 29.7 ± 5.5 years, prepregnancy BMI was 27.5 ± 5.8 kg/m2, GWG was 9.58 kg ± 6.87 kg and gestational age at birth was 38.5 ± 1.9 weeks. …”

Developing a Framework for improving Business Continuity Management success (BCM) in UAE Construction Industry by ALFALASI, ALMUR ABDULLA

“…Different kind of techniques such as frequency distribution, cross tabulation, One Way ANOVA, descriptive and pie charts as well as bar graphs Conclusion and recommendation Study concludes that labor work permit and Rain & flooding have highest mean. Larger spread value of sand storms and labor work permit factors explore that more spread out the observations are. …”
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Modeling the influence of daily temperature and precipitation extreme indices on vegetation dynamics in Katsina State using statistical downscaling model (SDM) by Mohammad, Hadi Ahmad

“…All the scenarios present increasing minimum and maximum temperatures and decreasing precipitation, except for RCP8.5, which predicted a more adverse trend. …”
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CEAP by Abdel Wahab, Omar

“…The second challenge is concerned with the limited resources of the vehicles especially in terms of storage space that restricts the vehicles’ capacity of storing a huge amount of observations and applying complex detection mechanisms. …”
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Towards secure private and trustworthy human-centric embedded machine learning: An emotion-aware facial recognition case study by Muhammad Atif Butt (10849980)

“…Since the success of AI is to be measured ultimately in terms of how it benefits human beings, and that the data driving the deep learning-based edge AI algorithms are intricately and intimately tied to humans, it is important to look at these AI technologies through a human-centric lens. …”

Unraveling the future productivity burden of cardiovascular disease in Qatar: Investigating the modifiable risk factors control in type 2 diabetes by Dina Abushanab (10696501)

“…</p><h3>Materials and methods</h3><p dir="ltr">Models were developed to quantify the productivity burden, in terms of PALYs, of CVD in Qataris with T2D, aged 40–65 years, from 2024 to 2033. …”