The Effects of Local Aggregates on the Mechanical Properties of Engineered Cementitious Composites (ECC) by Obied, Michel

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Pool Free Rapid Segmentation Network (PFRS-Net) to detect human blastocyst compartments for embryonic assessment by Abida Hussain (22049752)

“…<p>Assisted reproductive technology has become an increasingly popular solution to address infertility in humans, primarily by in vitro fertilization (IVF). …”

Mental health, burnout and resilience in community pharmacists during the COVID-19 pandemic: A cross-sectional study by Zeana, Samir AlKudsi

“…Participants had shown moderate resilience (mean score: 27.64 (SD = 8.31)) and their mean score fear of COVID19 was 15.67 (SD = 6.54). …”
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Which factor explains the life‐history of <i>Xanthium strumarium</i> L., an aggressive alien invasive plant species, along its altitudinal gradient? by Rafi Ullah (8146836)

“…Among climatic variables, mean yearly temperature, mean annual yearly humidity, and mean day length in hours, while in soil variables, organic matter and nitrogen percentage significantly affect the phenological and morphological stages. …”

Land surface temperature responses to land use dynamics in urban areas of Doha, Qatar by Shikha Patel (14151027)

“…The LST data derived from remote sensing sources demonstrates an upward trend for summer and a contrasting trend for winter. Specifically, the mean summer LST increases by 7.64 °C (0.34 °C annually), and the mean winter LST decreases by 4.87 °C (0.22 °C annually). …”

Real-time AI-based inference of people gender and age in highly crowded environments by Jasseur Abidi (17870426)

“…Automatic gender identification is increasingly being used in areas such as security, marketing, and social robots. …”

A conjugate self-organizing migration (CSOM) and reconciliate multi-agent Markov learning (RMML) based cyborg intelligence mechanism for smart city security by S. Shitharth (12017480)

“…Various machine learning and deep learning-based cyborg intelligence mechanisms have been developed to protect smart city networks by ensuring property, security, and privacy. …”

The distribution of toxic sources in Louisiana by Djoundourian, Salpie Sarkis

“…A distance gradient analysis indicates that as distance from the nearest toxic source increases, the mean percentage of blacks in the community decreases and the mean percentage of whites increases. …”
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Plant disease management: a fine-tuned enhanced CNN approach with mobile app integration for early detection and classification by Mudassir Iftikhar (21323900)

“…This paper addresses this critical issue through an exploration of a deep learning-based approach to disease detection. …”

Transfer function analysis between arterial pressure and renal sympathetic nerve activity at cardiac pacing frequencies in the rat by Kanbar, Roy

“…Cardiac pacing slightly increased mean AP (0.8 ± 0.2 mmHg/Hz) and decreased pulse pressure (−3.6 ± 0.3 mmHg/Hz) while leaving the mean level of RSNA essentially unaltered (P = 0.680, repeated-measures ANOVA). …”
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The role of objectively recorded smartphone usage and personality traits in sleep quality by Aftab Alam (5158601)

“…<h3>Purpose</h3><p dir="ltr">The proliferation of smartphones, accompanied by internet facilities, has contributed to a decrease in sleep quality over the last decades. It has been revealed that excessive internet usage impacts the physical and mental health of smartphone users, while personality traits (PT) could play a role in developing internet addictions and preventing their negative effects. …”

Assessment of Brain Function After 240 Days Confinement Using Functional Near Infrared Spectroscopy by Yahya, Fares

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Reputation-Aware Multi-Agent DRL for Secure Hierarchical Federated Learning in IoT by Noora Mohammed Al-Maslamani (17541798)

“…Each FL edge server is equipped with a Deep Reinforcement Learning (DRL)-based reputation model to optimally measure the reliability and trustworthiness of FL workers within its cluster. …”

Malware detection for mobile computing using secure and privacy-preserving machine learning approaches: A comprehensive survey by Faria Nawshin (21841598)

“…There are many machine-learning and deep-learning algorithms have been developed by researchers. …”

Macular ultrastructural features in amblyopia using high-definition optical coherence tomography by Al-Haddad, Christiane Elias

“…Also, amblyopic eyes demonstrated a shallow foveal pit compared with normal fellow eyes. Mean foveal thickness was significantly increased in amblyopic (228.56 µm) versus fellow eyes (221.72 µm), p=0.03. …”
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IS security menace by Balozian, Puzant

“…It is widely believed in IS security literature that enforcing IS security policy compliance on employees through various means is the solution for security effectiveness. …”
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Causes of construction reworks and their mitigation strategies by HAYAT, KAMRAN

“…Therefore this project management dissertation is about digging deep causes of project reworks as well as its mitigation ways consisting of literature review which ends up with conceptual model and developed 5 hypothesis which is core of my survey questionnaire. …”
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Integration of Artificial Intelligence in E-Procurement of the Hospitality Industry: A Case Study in the UAE by Mathew, Elezabeth

“…Demand forecasting is done using deep learning techniques. Long short-term memory (LSTM) is used to find the demand forecasting of spend and quantity using time lags. …”
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Investigation of positive education implementation and its impact on students' wellbeing and academic self-efficacy in K-12 private schools in Dubai by KHREIBI, RIMA ABOU

“…The findings revealed the following: 1) in recent years there has been increasing positive education implementation grounding in the recent international, national, local, and educational authority policies and initiatives. 2) absence of standardised local and school policy related to positive education implementation has led to the need for adaptability of positive education implementation across school. 3) there has been strong engagement of the internal school community (teachers, school leaders and students) with external school community (parents). 4) significant changes in the overall level DSWC indicators associated with social emotional wellbeing, life satisfaction, perseverance, feeling safe, and belonging to school. 5) insignificant changes associated with DSWC indicators associated with emotional regulation, happiness, optimism, academic self-concept, cognitive engagement, engagement (flow), peer belonging and school climate. 6) PASS assessment factors show increase in wellbeing, motivation and self-efficacy for regulation and decrease in academic self-efficacy. 7) significant increase in emotional, social wellbeing and academic self-efficacy among students due to positive education implementation as perceived by teachers, parents, and students.…”
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Psychological and Coping Strategies Related to Home Isolation and Social Distancing in Children and Adolescents During the COVID-19 Pandemic: Cross-sectional Study by Abduljaleel Abdullatif Zainel (18055382)

“…Higher levels of anger, depression, and general anxiety were prevalent among 1.3% (n=84), 3.9% (n=260), and 1.6% (n=104) of participants, respectively. The mean score for the emotional constructs anger and depression decreased with increased compliance with regulations (<i>P</i>=.04 and <i>P</i>=.11, respectively). …”