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Detection of statistically significant network changes in complex biological networks
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. …”
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Deep Models for Stroke Segmentation: Do Complex Architectures Always Perform Better?
Published 2024“…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.…”
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Low-Complexity Machine Learning-based Behavioral Modeling of Power Amplifiers
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Novel platinum (II) and platinum (IV) complexes exhibit potent chemotherapeutic properties in breast and skin cancer models
Published 2022“…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
Published 2018“…<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. …”
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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. 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>…”
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Correlation Clustering via s-Club Cluster Edge Deletion
Published 2023“…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
Published 2011“…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
Published 2025“…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. …”
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Preterm birth in low-middle income Countries
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Project Complexity, Project Managers’ Knowledge Creation Styles, and Project Performance
Published 2021“…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
Published 2025“…<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. …”
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On the molecular properties of graphene-pyrazines conjugated Ru and Fe complexes: Computational insights
Published 2020“…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
Published 2021“…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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Phenotypic and Genotypic Characterization of Candida parapsilosis complex isolates from a Lebanese Hospital
Published 2023“…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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Internet Searches for Medical Symptoms Before Seeking Information on 12-Step Addiction Treatment Programs: A Web-Search Log Analysis
Published 2019“…Specifically, symptom queries were first determined to be significantly predictive of subsequent 12-step queries if the probability of querying a medical symptom by those who later sought information about the 12-step program exceeded the probability of that same query being made by a comparison group of all other Bing users in the United States. …”
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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
Published 2022“…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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