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

“…</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. …”

Deep Models for Stroke Segmentation: Do Complex Architectures Always Perform Better? by Ahmed Soliman (4591621)

“…These findings suggest that proposed complex architectures may be task-specific and simpler models with appropriate pre-/post-processing pipeline can be equally or more effective in generalization across different tasks in medical image segmentation.…”

Low-Complexity Machine Learning-based Behavioral Modeling of Power Amplifiers by Aziz, Mohammad Rabih

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Novel platinum (II) and platinum (IV) complexes exhibit potent chemotherapeutic properties in breast and skin cancer models by Farah, Roudy

“…The lethal and most tolerated doses were measured for both complexes in mice. The chemotherapeutic potential was assessed in a DMBA-induced breast cancer model in rats as well as a DMBA/TPA-induced skin cancer model in mice. …”
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Lewy body-like alpha-synuclein inclusions trigger reactive microgliosis prior to nigral degeneration by Megan F. Duffy (5713772)

“…<h3>Background</h3><p dir="ltr">Converging evidence suggests a role for microglia-mediated neuroinflammation in Parkinson’s disease (PD). Animal models of PD can serve as a platform to investigate the role of neuroinflammation in degeneration in PD. …”

Challenges and practices identification in complex outsourcing relationships: A systematic literature review by Ghulam Murtaza Khan (12024573)

Editorial: At the Crossroads: Lessons and Challenges in Computational Social Science by Javier Borge-Holthoefer (211484)

“…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. Only a decade later, the advent of the Web 2.0, the Internet of Things and a general adoption of mobile technologies have convinced researchers that theories can be mapped to real scenarios and put into empirical test, closing in this way the experiment-theory cycle in the best tradition of physics</p><h2>Other Information</h2><p dir="ltr">Published in: Frontiers in Physics<br>License: <a href="https://creativecommons.org/licenses/by/4.0/deed.en" rel="noreferrer noopener" target="_blank">https://creativecommons.org/licenses/by/4.0/</a>  <br>See article on publisher's website: <a href="https://dx.doi.org/10.3389/fphy.2016.00037" target="_blank">https://dx.doi.org/10.3389/fphy.2016.00037</a></p>…”

Correlation Clustering via s-Club Cluster Edge Deletion by Makarem, Norma

“…Cluster Editing, a known model for correlation clustering, has garnered significant consideration in the parameterized complexity area and has been utilized in a range of practical contexts. …”
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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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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. …”

Preterm birth in low-middle income Countries by Alim, Swarray-Deen

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Active distribution network type identification method of high proportion new energy power system based on source-load matching by Qinlin, Shi

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Project Complexity, Project Managers’ Knowledge Creation Styles, and Project Performance by ABOU SAMRA, RASHA MOHAMED NASER

“…The aim of this research is to find a generalized model of prediction and control of the project performance using the knowledge creation and considering the impact of project complexity on project performance. …”
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Mixed precision iterative refinement with adaptive precision sparse approximate inverse preconditioning by Noaman Khan (19810050)

“…<p dir="ltr">Hardware trends have motivated the development of mixed precision algorithms in numerical linear algebra, which aim to decrease runtime while maintaining acceptable accuracy. …”

Using decision trees to disentangle the complex relationship between diversity and knowledge sharing by Srour, F. Jordan

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On the molecular properties of graphene-pyrazines conjugated Ru and Fe complexes: Computational insights by Abdulilah Dawoud, Bani-Yaseen

“…The computational study was conducted using the density functional theory (DFT) approach with an implicit solvation model (IEFPCM). Interestingly, the DFT results revealed that the key structural properties of the complexes are not disrupted by heterogenization. …”
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On the molecular properties of graphene-pyrazines conjugated Ru and Fe complexes: Computational insights by Abdulilah Dawoud Bani-Yaseen (14152812)

“…The computational study was conducted using the density functional theory (DFT) approach with an implicit solvation model (IEFPCM). Interestingly, the DFT results revealed that the key structural properties of the complexes are not disrupted by heterogenization. …”

Phenotypic and Genotypic Characterization of Candida parapsilosis complex isolates from a Lebanese Hospital by El Hady, Reine Clement

“…Two of the misidentified isolates, C. orthopsilosis and C. metapsilosis belong to the C. parapsilosis complex, while the third misidentified isolate was C. albicans. …”
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The Analysis of Project Governance and Cultural Intelligence in the Successful Delivery of Complex Construction Projects: The Case of the UAE Construction Sector by ALEID, ALJAZZY BINT MOHAMED

“…The overarching aim of this research was to examine how project governance and cultural intelligence can influence successful complex construction project delivery. The research proposed a model that comprises project governance and cultural intelligence determinants that can be used to enhance successful complex construction project delivery in the UAE. …”
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Nutritional Status and Clinical Outcomes of Children with Medical Complexity in the United Arab Emirates: A Retrospective Cross-Sectional Study by Al Slaybe, Maryam

“…Exploratory bivariate analyses (Chi-square, Pearson correlation, t-tests, ANOVA) identified factors associated with the CMC’s nutritional status, and variables with p < 0.2 were entered into multivariable linear regression models to identify predictors, adjusting for confounders. …”
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