ADT: A Generalized Algorithm and Program for Beyond Born–Oppenheimer Equations of “<i>N</i>” Dimensional Sub-Hilbert Space by Koushik Naskar (7510592)

“…In order to overcome such shortcoming, we develop a generalized algorithm, “ADT” to generate the nonadiabatic equations through symbolic manipulation and to construct highly accurate diabatic surfaces for molecular processes involving excited electronic states. …”

Evaluation of the diagnostic performance of key genes and expression detection of key genes in MH7A cell lines and LPS-induced MH7A cell lines. by Meili Liu (327309)

Subjects:

Key aspects of network alignment documentation. by Giuseppe Agapito (104634)

Subjects:

Flowchart of simple ant colony algorithm. by Yang Yu (4292)

“…This paper introduces an Intelligent Tuning Method for Service Scheduling in Electric Power Communication Networks Based on Operational Risk and Quality of Service (QoS) Guarantee. Based on a comprehensive assessment of service transmission reliability and time costs, a route satisfaction evaluation function model has been developed. …”

S- and V-Type transfer function diagrams. by Chenyi Zhu (9383370)

Subjects: “…continuous optimization algorithm…”

Improved SHA256 algorithm operation diagram. by Su Li (294188)

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)

“…According to the network motif detection algorithm, key core function motifs (CIM) of DSS in treating depression were captured, followed by a functional analysis and verification. …”

BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data by Jean-Christophe Lachance (6619307)

“…GEM-guided predictions of growth phenotypes rely on the accurate definition of a biomass objective function (BOF) that is designed to include key cellular biomass components such as the major macromolecules (DNA, RNA, proteins), lipids, coenzymes, inorganic ions and species-specific components. …”

Comparison of key mean topological metrics for three distinct placentones. by Diana C. de Oliveira (9220729)

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Functional enrichment analyses of Co-genes. by Qingcong Zheng (11169094)

Constructing the dynamical law. by Robert Marsland (8616483)

Test functions. by Kejia Liu (5699651)

“…The study employed traditional benchmark functions and conducted evaluations versus baselines Standard GEP, NMO-SARA, and MS-GEP-A to assess fitness outcomes, R² values, population diversification, and the avoidance of local optima. …”

Definitions of global parameters used for constructing random ecosystems. by Robert Marsland (8616483)

DE genes detected by different DEA algorithms. by Jie Xue (417504)

“…As a key component of single-cell data analysis, differential expression analysis (DEA) serves as the foundation for all subsequent secondary studies. …”

-value on 23 benchmark functions (dim = 30). by Yuqi Xiong (12343771)

“…The algorithm integrates three key strategies: a precise population elimination strategy, which optimizes the population structure by eliminating individuals with low fitness and intelligently generating new ones; a lens imaging-based opposition learning strategy, which expands the exploration of the solution space through reflection and scaling to reduce the risk of local optima; and a boundary control strategy based on the best individual, which effectively constrains the search range to avoid inefficient searches and premature convergence. …”

Comparison of key evaluation indicators for recommendation algorithms. by Mingbao Yang (14008799)

Boxplots displaying <i>KL</i> divergence results, indicating variability of key topological metrics obtained after multiple algorithm runs for the generation of chorionic vessels (... by Diana C. de Oliveira (9220729)

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List of Up and Down regulated genes in <i>Dyrk1a</i>^<i>C/C</i> hippocampi compared with controls (Deseq algorithm, P<0.025). by Véronique Brault (160595)

Table2_Predicting Human Protein Subcellular Locations by Using a Combination of Network and Function Features.XLSX by Lei Chen (54296)

“…Some key proteins and functional terms were discovered, which may provide important contributions for determining protein subcellular locations. …”

Table3_Predicting Human Protein Subcellular Locations by Using a Combination of Network and Function Features.XLSX by Lei Chen (54296)

“…Some key proteins and functional terms were discovered, which may provide important contributions for determining protein subcellular locations. …”