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  1. 1

    Non-Newtonian Effects in a Fluid-Structure Interaction Model for Atherosclerosis by El Khatib, N.

    Published 2009
    “…In this paper we study the blood-plaque interaction using a fluid-structure interaction model. …”
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    article
  2. 2

    A Decision Modelling Approach for Perceived and Engaged Immersive Visual Interactive Applications on the Metaverse by IBRAHIM, SAMAR

    Published 2024
    “…The results illustrate the effectiveness of the modelling approach and indicate that "spatial" and “haptics” are the most significant criteria in evaluating immersive visual interactive applications. …”
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  3. 3

    Detection of statistically significant network changes in complex biological networks by Raghvendra Mall (581171)

    Published 2017
    “…</p><h3>Methods</h3><p dir="ltr">In this paper, we propose an improvement over the state-of-the-art based on the Generalized Hamming Distance adopted for evaluating the topological difference between two networks and estimating its statistical significance. The proposed procedure exploits a more effective model selection criteria to generate <i>p</i>-values for statistical significance and is more efficient in terms of computational time and prediction accuracy than literature methods. …”
  4. 4

    Interactions of black carrot concentrate powder as a natural coloring agent with gelatine and sucrose in model gummy samples by Ilyas, Atalar

    Published 2025
    “…This study aims to determine the interaction between black carrot juice concentrate powder (BCCP) with gelatine and sucrose for model gummy samples and to develop models for the optimal composition of the product. …”
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    article
  5. 5

    Teachers and students interacting around the textbook by Ghosn, Irma K.

    Published 2001
    “…Based on the findings, a model showing the complexity of classroom language learning is suggested for further investigation.…”
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    masterThesis
  6. 6

    The Effect of the Variation of the Modulus of Subgrade Reaction on the Design of Large Shallow Foundations by Al Kaaby Al Zoaby, Hassan

    Published 2022
    “…The design of mat foundations is a common application of soil-structure interaction. In a typical mat foundation design, the structure element (mat) is modeled as either rigid or flexible plate overlying an elastic subgrade. …”
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    masterThesis
  7. 7

    Malignant peritoneal mesothelioma interactome with 417 novel protein–protein interactions by Kalyani B. Karunakaran (12478431)

    Published 2024
    “…</p><h3 dir="ltr">Methods</h3><p dir="ltr">We constructed the protein interactome of 59 MPeM-associated genes with previously known protein-protein interactions (PPIs) as well as novel PPIs predicted using our previously developed HiPPIP computational model and analysed it for transcriptomic and functional associations and for repurposable drugs.…”
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    Partnering for Sustainability: Parent-Teacher-School (PTS) Interactions in the Qatar Education System by Maryam A. Al-Hail (18595765)

    Published 2021
    “…Furthermore, while almost all parents recognize the significance of parental involvement and show a high level of interest in being on the ‘Board of Trustees’, in reality, very few participate or volunteer in school activities, and they rarely visit classrooms or interact with teachers or schools, mainly due to their increasing job-related commitments. …”
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    The Influence of Performance Management Feedback on Employee Performance: The Moderating Role of Organizational Justice and its Dimensions (Procedural, Distributive, Interactional) by Maaz, Fatima

    Published 2025
    “…The empirical data shows that performance management feedback has a positive relationship with employee performance in the three structural equation modeling while distributive, procedural and interactional justices do not moderate this relationship. …”
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    masterThesis
  13. 13

    A Novel Transformer-Based Approach for Adult’s Facial Emotion Recognition by Uzma Nawaz (21980708)

    Published 2025
    “…An ablation study further validates the contribution of each model component, and comparisons with CNN-based and transformer-based approaches confirm the effectiveness of the model. …”
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    The Impact Of Teachers’ Differentiated Initiations And Feedback On Students’ Responses: A Model Based On Audience Design And Bloom’s Taxonomy Of Cognitive Domains by ZAGHAB, MAI IDREES

    Published 2023
    “…The findings indicated that teachers' differentiated instruction and feedback, especially when considering the audience design model, significantly impacted both the quantity and quality of students' verbal responses. …”
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  16. 16

    Machine Learning Techniques for Pharmaceutical Bioinformatics by SULTAN, AHMED ATTA AHMED

    Published 2018
    “…This dissertation presents a novel drug classifier to automate the prediction of drug indication and drug interactions with other drugs. The study integrates knowledge visualization, analysis, as well as development of a predictive model based on the Drug-Drug Interactions (DDIs) as a complex network. …”
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  17. 17

    Model predictive control of shell benchmark process by Amjad, S.

    Published 2003
    “…Simultaneous control of overhead and bottoms composition in a binary distillation column using reflux and steam flow as the manipulated variables often proves to be particularly difficult because of the interaction inherent in the process. The development of model based control (MPC) theory in the past 20-25 years has provided a framework which caters for the above distillation control problem. …”
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    article
  18. 18

    An Integrated Model for Metaverse Adoption in Higher Education Institutions: A Structural Equation Modelling and Artificial Neural Network Approach by MAGHAYDAH, SAFWAN SULEIMAN MGHIED

    Published 2024
    “…The ANN analysis, conducted to avoid overfitting and to analyze nonlinear correlations, showed the superiority of ANN predictions over traditional regression methods, indicating high levels of precision and reliability of the ANN models. Sensitivity analysis highlighted technology characteristics as the most significant predictor of task-technology fit. …”
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