Results 1 to 10 of about 29,400,194 (210)
Parallel analysis of transcription, integration, and sequence of single HIV-1 proviruses. [PDF]
Cell, 2022 Summary HIV-1-infected cells that persist despite antiretroviral therapy (ART) are frequently considered “transcriptionally silent,” but active viral gene expression may occur in some cells, challenging the concept of viral latency. Applying an assay for
Einkauf KB +14 more
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CometChip enables parallel analysis of multiple DNA repair activities. [PDF]
DNA Repair (Amst), 2021 DNA damage can be cytotoxic and mutagenic and is directly linked to aging, cancer, and heritable diseases. To counteract the deleterious effects of DNA damage, cells have evolved highly conserved DNA repair pathways.
Ge J +13 more
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Investigating Parallel Analysis in the Context of Missing Data: A Simulation Study Comparing Six Missing Data Methods. [PDF]
Educ Psychol Meas, 2020 Exploratory factor analysis is a statistical method commonly used in psychological research to investigate latent variables and to develop questionnaires.
Goretzko D, Heumann C, Bühner M.
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Parallel hardware for faster morphological analysis
Journal of King Saud University: Computer and Information Sciences, 2018 Morphological analysis of Arabic language is computationally intensive, has numerous forms and rules, and intrinsically parallel. The investigation presented in this paper confirms that the effective development of parallel algorithms and the derivation ...
Issam Damaj +2 more
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Parallel binary code analysis [PDF]
Proceedings of the 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2021 Binary code analysis is widely used to assess a program's correctness, performance, and provenance. Binary analysis applications often construct control flow graphs, analyze data flow, and use debugging information to understand how machine code relates to source lines, inlined functions, and data types.
Xiaozhu Meng +5 more
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Many-objective evolutionary algorithm based on three-way decision
Egyptian Informatics Journal, 2023 In recent years, many-objective optimization problems have been widely used. however, with the increase of the number of objectives, the difficulty of solving increases exponentially, and the imbalance between convergence and diversity becomes more ...
Zhihua Cui +3 more
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Egyptian Informatics Journal, 2023 In edge computing (EC), when the edge server (ES) is processing tasks delivered by the mobile devices (MDs), the MDs move outside the coverage of the ES, where task migration is required to ensure service continuity.
Zhenyu Shi +4 more
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Egyptian Informatics Journal, 2023 Interval multi-objective optimization problems (IMOPs) are one of the most critical optimization problems in practical applications. However, compared to deterministic multi-objective optimization problems (MOPs), there are few researchs addressing IMOP.
Yaqing Jin +3 more
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Determining the Number of Attributes in Cognitive Diagnosis Modeling
Frontiers in Psychology, 2021 Cognitive diagnosis models (CDMs) allow classifying respondents into a set of discrete attribute profiles. The internal structure of the test is determined in a Q-matrix, whose correct specification is necessary to achieve an accurate attribute profile ...
Pablo Nájera +2 more
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Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 Graph neural networks (GNNs) are among the most powerful tools in deep learning. They routinely solve complex problems on unstructured networks, such as node classification, graph classification, or link prediction, with high accuracy.
Maciej Besta, T. Hoefler
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