Machine Learning Based Palm Farming: Harvesting and Disease Identification by Khan, Sana Z.

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Synergistic effect of chemical and bio-based surfactants in stabilizing nanoemulsions by Nansee S.K. Abu Zaid (22986676)

“…To the best of our knowledge, <u>nanoemulsions </u>stabilized by a combination of bio-based and chemical surfactants are scarce in existing literature. …”

Effects of support on Ni-based catalysts for dry reforming of methane by Sardar Ali (20837642)

“…<p dir="ltr">We report the development and evaluation of Ni-based catalysts supported on La₂O₃, ZrO₂, and Al₂O₃ for dry methane reformation. …”

The Effectiveness of Teaching Reading (Meta) Cognitive Strategies in Improving UAE Grade-12 Students’ Reading Comprehension Proficiency for School-based Tests and University Admiss... by Rihan, Mohammed Mahmoud

“…The results of the study have indicated a statistically significant effect of strategy-based instruction in improving the learners’ reading comprehension performance, and confirmed a significant correlation between language proficiency and learning the reading strategies. …”
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Research Based Pedagogy to Enhance Quality of Learning: A Study Among Selected Higher Education Institutions in the UAE by AL HERSI, MARYAM SALEM

“…Research Based Pedagogy is referred to as a significant concept that would facilitate in creating research culture and to graduate students with high cognitive thinking order. …”
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The Effect of Training Effectiveness, Attitude, Commitment, and Employee Trust on Food Safety Behaviour in Home-Based Businesses by AL MUALLA, SHATHA ALI

“…Food safety behaviour in the United Arab Emirates (UAE) has received much academic and practitioner attention because of the significance of home-based businesses (HBBs) in food safety management. …”
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Integrating technology pedagogy and content knowledge in Qatar’s preparatory and secondary schools: The perceptions and practices of STEM teachers by Ziad Said (17541819)

“…Generally, there are no significant differences between the different dual groups in understanding STEM, TPACK, and embedding technology, with few exceptions in some aspects. …”

Deep random vector functional link transformer network with multiple output layers for significant wave height forecasting by Aryan Bhambu (18767731)

“…This paper introduces a novel random vector functional link transformer (RFT) and ensemble deep random vector functional link transformer (edRFT) networks to capture the dynamic characteristics of significant wave heights. The model employs hidden blocks based on transformer encoders to effectively capture complex sequential dependencies in the data. …”

pH and ultrasound dual-responsive drug delivery system based on PEG–folate-functionalized Iron-based metal–organic framework for targeted doxorubicin delivery by Ahmed, Ahmed H.S

“…In this work, dual-responsive iron-based MOFs were synthesized via the microwave-assisted method using FeCl₃.6 (H₂O) as the metal cluster and 2-aminoterephthalic acid (NH₂-BDC) as the organic linker (namely NH₂-Fe-BDC) and loaded with the anti-cancer drug doxorubicin (DOX). …”
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Evaluating the impact of a brief Health at Every Size-informed health promotion activity on body positivity and internalized weight-based oppression by Lily, O’Hara

“…Weight-based oppression, including negative attitudes about body weight, and harassment, stigma, and discrimination based on body weight, is a widespread phenomenon that leads to considerable distress and poor health and wellbeing outcomes. …”
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Assessing the eco-environmental aspects of fossil fuels-based units substitution of Point Aconi thermal power plant by green-based energies: a case study of Canada by Nima Amiri (21842687)

“…<p dir="ltr">Canada possesses significant potential in harnessing renewable energy from its vast and diverse geography, which can generate clean electricity. …”

Feeder protection challenges with high penetration of inverter based distributed generation by Margossian, Haraj

“…The increasing proportion of inverter based distributed generation (DG) in the power system may limit the short circuit power available at distribution substations and consequently cause significant troubles for the protection of distribution feeders where DG are connected. …”
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Cellulose-based materials for antimicrobial water treatment: functionalization strategies and applications by Radha, Remya

“…Water contamination by pathogenic microorganisms poses a significant threat to public health and ecosystems, necessitating the development of sustainable and efficient water decontamination technologies. …”
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Ambidexterity through Project Portfolio Management Resolving paradoxes in organizations by PETRO, YACOUB

“…This thesis proposes the use of Project Portfolio Management (PPM) practices to show the path to ambidexterity in dynamic, albeit project-based, environments. This study has significant implications for practitioners and scholars. …”
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Assessing Factors Influencing Customers’ Adoption of AI-Based Voice Assistants by Surbhi Choudhary (21633701)

“…The study reveals that the “value of openness to change” poses a significant effect toward “reasons for” adoption, among which “performance expectancy” and “hedonic motivation” play the most significant role in establishing a favorable attitude toward voice assistants’ adoption. …”

Life cycle-based sustainability assessment of different partition board materials by Dhin, Lara Omar

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A Blockchain-Based Scalability Solution with Microgrids Peer-to-Peer Trade by Ameni Boumaiza (19160734)

“…This study proposes a blockchain-based scalability solution with a focus on P2P energy trading. …”

Analyzing the efficiency of intellectual capital: anewapproach based on DEA-MPI technology by Mohamed Habib, Ahmed

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An Improved Genghis Khan Optimizer based on Enhanced Solution Quality Strategy for Global Optimization and Feature Selection Problems by Abdel-Salam, Mahmoud

“…It utilizes Quasi-opposite-based learning (QOBL) to enhance the best solution obtained and, consequently, the entire population. …”
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PSYCHOLOGICAL EMOTION RECOGNITION OF STUDENTS USING MACHINE LEARNING BASED CHATBOT by Khalil Assayed, Suha

“…The tweets are classified into categories based on the feeling: Positive and negative. The authors applied Machine Learning algorithms, Support Vector Machines (SVM) and the Naïve Bayes (NB) and accordingly they compared the accuracy between them. …”
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