Adaptive response for climate change challenges for small and vulnerable coastal area (SVCA) countries: Qatar perspective by Shoukat Alim Khan (14778226)

“…As the severity and frequency of climate change impacts and consequences grow fast and highly alarming, particularly for small and vulnerable coastal area (SVCA) countries, the urgency and magnitude of the crises call for immediate and more adaptive responses. …”

Mapping subnational HIV mortality in six Latin American countries with incomplete vital registration systems by Local Burden of Disease HIV Collaborators (13279180)

Hemodynamics of small aneurysm pairs at the internal carotid artery by Jou, Liang-Der

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Identification of Important Sea Turtle Areas (ITAs) for hawksbill turtles in the Arabian Region by Pilcher, Nicolas J.

“…Overall, Gulf turtles spent 68% of the time in foraging ground with home ranges of 40–60km2 and small core areas of 6km2. Adult female turtles from Oman were significantly larger than Gulf turtles by ~11cm x¯=81.4CCL and spent 83% of their time foraging in smaller home ranges with even smaller core areas (~3km2), likely due to better habitat quality and food availability. …”
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Ground subsidence monitoring with SAR interferometry techniques in the rural area of Al Wagan, UAE by Pavlopoulos, Kosmas

“…The quantification of ground deformations of large magnitude and small amplitude in this area with SAR Interferometry is a challenging task using moderate resolution data due to the incoherent surface background. …”
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Risk-Management Framework and Information-Security Systems for Small and Medium Enterprises (SMEs): A Meta-Analysis Approach by Khalifa AL-Dosari (17931434)

“…This study was motivated by the realization that established IT risk-management frameworks might provide an adequate defence for small- and medium-sized enterprises (SMEs), especially those actively adopting new technologies. …”

Prediction of transportation index for urban patterns in small and medium-sized Indian cities using hybrid RidgeGAN model by Thottolil, Rahisha

“…Analysis results clearly demonstrate the utility of RidgeGAN in predicting network density for different kinds of human settlements, particularly for small and medium Indian cities. By predicting future urban patterns, this study can help in the creation of more livable and sustainable areas, particularly by improving transportation infrastructure in developing cities.…”
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Predictors of prolonged hospitalization among geriatric trauma patients using the modified 5-Item Frailty index in a Middle Eastern trauma center: an 11-year retrospective study by Husham Abdelrahman (768893)

“…Head injury and bleeding were the leading causes of mortality in the study cohort. There was a significant decrease in the trend of geriatric trauma over the years. …”

Ambidexterity through Project Portfolio Management Resolving paradoxes in organizations by PETRO, YACOUB

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OSRA Grant Cycle 5 Public Reports : Project Title: Coping with prenatal bereavement and perceived stress in current pregnancy: correlates to parental perception of the child and bo... by Pia Tohme Khalaf (17425551)

Habitat Complexity Influences the Microhabitat Choices of Desert Beetles by Bartholomew, Aaron

“…We present a model for prey survivorship varying with average space size/prey width (Sp/Py) and total cover within an area (Ct/At), which are habitat complexity indices. …”
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Applying Energy Efficiency Strategies to Reduce Energy Consumption in Mosques. by WAHEED ADDIN IBRAHIM ALMASRI

“…Mosques are a valuable symbol of the Islamic religion and addressing the sustainability of mosques is not just an environmental imperative but also a religious and economic one and it has been clear that there is a significant research gap in the area of sustainability in religious buildings. …”
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Do near-bedtime usage of smartphones and problematic internet usage really impact sleep? A study based on objectively recorded usage data by Aftab Alam (5158601)

“…</p><h3> Results</h3><p dir="ltr">The multivariate linear regression showed that the increase in PIU (β = −0.231, p < 0.001) and smartphone usage two hours before sleep (β = −0.246, p < 0.001) led to decrease in sleep duration. Regarding sleep distraction, multivariate linear regression analysis revealed that two hours before sleep was a significant and positive predictor of sleep distraction (β = 0.197, p = 0.003), whereas PIU was not significant. …”

Sensitivity analysis of work plane illuminance to room surface reflectance values by WAFI, RANA BASHIR

“…For the purpose of proving it , two digital models were created in this study in order to run the simulations. Significantly, the small area office illuminance increased with high values when the wall surface reflectance is high . …”
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Sleeping habits during COVID-19 induced confinement: A study from Jordan by Mahmoud A. Alomari (14780446)

“…In addition, gender (p < 0.001) is an independent predictor of nighttime sleeping. Being a male is associated with a “decrease” and being a female is associated with an “increase” in nighttime sleeping hours (p < 0.05). …”

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

“…However, social media use was not significantly associated with orthorexia. Regression analyses showed that both social media use (p<0.001) and having a social media account (p=0.023) were predictors of reduced intuitive eating, with social media use being the most significant predictor. …”
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The Influence of Risk Determinants and the Project Environment on the Successful Delivery of Software Development Projects by ALHOUSANI, AMNA

“…Additionally, only a small number of research have explored how the project environment influences both risk factors and success of project. …”
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Water quality problems associated with intermittent water supply by Tokajian, Sima

“…A controlled study was conducted in Lebanon over a period of 12 months to determine bacterial regrowth in a small network supplying the Beirut suburb of Naccache that had a population of about 3,000. …”
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Influence of Chitosan Addition on Resorcinol–Formaldehyde Xerogel Structure by Ahmed Awadallah-F (825837)

“…The addition of small quantities of chitosan to the reacting solution resorcinol–formaldehyde xerogel was investigated. …”

Plasma volume variations in response to high intensity interval training in obese women: The influential role of menopausal status and age by Jabbour, Georges

“…On the other hand, menopause status was an independent predictor for PV decreases after warm-up (r = 0.33) as well after SCT (r = 0.38). …”
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