Biological Function Assignment across Taxonomic Levels in Mass-Spectrometry-Based Metaproteomics via a Modified Expectation Maximization Algorithm by Gelio Alves (51850)

“…A major challenge in mass-spectrometry-based metaproteomics is accurately identifying and quantifying biological functions across the full taxonomic lineage of microorganisms. …”

The optimal contact/quarantine rates from the family of functions (4) and (5) for Hainan and Xinjiang. by Mengqi He (5753525)

“…(c, f) Average root mean square error (), corresponding to fitting epidemic data using model (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1011535#pcbi.1011535.e018" target="_blank">1</a>) based on various combinations of the family of functions (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1011535#pcbi.1011535.e044" target="_blank">4</a>) and (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1011535#pcbi.1011535.e045" target="_blank">5</a>) in Hainan and Xinjiang.…”

Flow chart diagram of blind quantum algorithm. by Sultan H. Almotiri (14029251)

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Working scheme of the smooth-index algorithm. by Alexander Borst (32619)

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Example performance of the smooth-index algorithm. by Alexander Borst (32619)

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Scenarios for algorithms using IEEE 33 bus. by Bachirou Bogno (20485724)

Scenarios for algorithms using IEEE 69 bus. by Bachirou Bogno (20485724)

Comparison of the top five upregulated and top five downregulated molecular function GO terms of Unipept with the molecular function GO terms from the other tools from the oral dys... by Ray Sajulga (5721518)

Parameter settings for metaheuristic algorithms. by Junhao Wei (6816803)

“…The performance of the canonical WOA is improved through innovative strategies: first, an initialization process using Good Nodes Set is introduced to ensure that the search starts from a higher-quality baseline; second, a distance-based guided search strategy is employed to adjust the search direction and intensity by calculating the distance to the optimal solution, which enhances the algorithm’s ability to escape local optima; and lastly, LSWOA introduces an enhanced spiral updating strategy, while the enhanced spiral-enveloping prey strategy effectively balances exploration and exploitation by dynamically adjusting the spiral shape parameters to adapt to different stages of the search, thereby more accurately updating the positions of individuals and improving convergence speed. …”

Run times of two algorithms. by Gourab Saha (8987405)

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Proportion of simulated data with improved likelihood from using multiple restarts (Algorithm 1). by Jesse Wheeler (18462457)

Subjects: “…routinely applicable algorithm…”

Explained variance ration of the PCA algorithm. by Abeer Aljohani (18497914)

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Qualitative comparisons of the proposed algorithm with 7 state-of-the-art algorithms in 4 representative CT-MRI image pairs. by Ayush Dogra (17054597)

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Qualitative comparisons of the proposed algorithm with 7 state-of-the-art algorithms in 4 representative CT-MRI image pairs. by Ayush Dogra (17054597)

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The optimal contact/quarantine rates from the family of functions (4) and (5) for Xi’an, Guangzhou and Yangzhou. by Mengqi He (5753525)

“…(c, f, i) Average root mean square error (), corresponding to fitting epidemic data using model (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1011535#pcbi.1011535.e018" target="_blank">1</a>) based on various combinations of the family of functions (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1011535#pcbi.1011535.e044" target="_blank">4</a>) and (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1011535#pcbi.1011535.e045" target="_blank">5</a>) in Xi’an, Guangzhou and Yangzhou.…”

F1-scores of anomaly detection algorithms. by GaoXiang Zhao (21499525)

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Features selected by optimization algorithms. by Afnan M. Alhassan (18349378)

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DataSheet1_Mathematical algorithm–based identification of the functional components and mechanisms in depression treatment: An example of Danggui-Shaoyao-San.docx by Wenxia Gong (13277883)

“…The results demonstrated that 198 pathways were enriched by the target genes of the CIM, and 179 coincided with the enriched pathways of pathogenic genes, accounting for 90.40% of the gene enrichment pathway of the C-T network. Then the functional components group (FCG) comprising 40 components was traced from CIM based on the target coverage accumulation algorithm, after which the pathways enriched by the target genes of FCG were selected to elucidate the potential mechanisms of DSS in treating depression. …”

Listed python codes of our algorithm with explanations (Python 3.9 recommended). by Takayuki Niizato (162226)

Power consumption for SHA256 software algorithm. by Maytham S. Jabor (15853046)

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