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Identifying and Assessing the Significance of Digital Twin Enablers in the Construction Industry
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Editorial: At the Crossroads: Lessons and Challenges in Computational Social Science
Published 2016“…At the turn of the century, however, it was clear that huge challenges—and new opportunities— lied ahead: the digital communication technologies, and their associated data deluge, began to nurture those models with empirical significance. …”
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QFD-based optimization model for mitigating sustainable supply chain management adoption challenges for Bangladeshi RMG industries
Published 2024“…The implications extend beyond the RMG sector, offering a replicable model for other industries and regions facing similar sustainability challenges.…”
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Board changes and CEO turnover
Published 2014“…For firms that decrease independence, the CEO turnover performance sensitivity significantly decreases following SOX. …”
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Implementing a collaborative care model for child and adolescent mental health in Qatar: Addressing workforce and access challenges
Published 2024“…This commentary explores the model’s feasibility, addressing challenges like workforce shortages and psychotropic prescribing processes. …”
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A slow but steady nanoLuc: R162A mutation results in a decreased, but stable, nanoLuc activity
Published 2024“…<p dir="ltr">NanoLuc (NLuc) <u>luciferase</u> has found extensive application in designing a range of <u>biologica</u><u>l</u><u> assays,</u> including <u>gene expression analysis</u>, protein-protein interaction, and protein conformational changes due to its enhanced brightness and small size. …”
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Survey of Multimodal Federated Learning: Exploring Data Integration, Challenges, and Future Directions
Published 2025“…Traditional machine learning (ML) models rely on centralized architectures, which, while powerful, often present significant privacy risks due to the centralization of sensitive data. …”
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Impact of AI and Dynamic Ensemble Techniques in Enhancing Healthcare Services: Opportunities and Ethical Challenges
Published 2024“…Dynamic ensemble techniques, which leverage multiple predictive models to improve outcome accuracy, offer significant promise in addressing the complexities of patient data and disease manifestations. …”
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Deep random vector functional link transformer network with multiple output layers for significant wave height forecasting
Published 2025“…<p>Accurate control of wave energy devices relies heavily on precise forecasts of wave heights, yet the dynamic and fluctuating nature of historical wave data presents significant challenges to achieving this precision. …”
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Notch Signaling Inhibition by LY411575 Attenuates Osteoblast Differentiation and Decreased Ectopic Bone Formation Capacity of Human Skeletal (Mesenchymal) Stem Cells
Published 2019“…Global gene expression profiling of LY411575-treated cells revealed changes in multiple signaling pathways, including focal adhesion, insulin, TGFβ, IL6, and Notch signaling, and decreased the expression of genes associated with functional categories of tissue development. …”
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Vocal Changes in Patients With Polycystic Ovary Syndrome
Published 2011“…There was no statistically significant difference in the acoustic parameters except for an increase in the relative average perturbation (P value = 0.035) and a decrease in maximum phonation time (P value = 0.001) in patients with PCOS. …”
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Power System Stability With High Penetration of Renewable Energy Sources: Challenges, Assessment, and Mitigation Strategies
Published 2025“…<p dir="ltr">The incorporation of renewable energy sources (RESs) into power systems has significantly increased in recent years due to growing environmental, economic, and energy security concerns, posing new challenges for power system stability. …”
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Essays on the effect of excess compensation and governance changes on firm value
Published 2012“…This dissertation consists of three essays on the effect of excess compensation and corporate governance changes on the firm’s performance. The first paper utilizes a cost minimization stochastic frontier approach to investigate the efficiency of director total compensation. …”
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Deep Learning in LncRNAome: Contribution, Challenges, and Perspectives
Published 2020“…We also outlined DL-based techniques leveraged in lncRNAome, highlighting the challenges computational scientists face while developing DL-based models for lncRNAome. …”
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Intensive English Students Communication Skills: Challenges and Solutions
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Metabolomics of Dynamic Changes in Insulin Resistance Before and After Exercise in PCOS
Published 2019“…While compering within the groups, no significant changes in the amino acid levels before and after exercise were observed. …”