Questionnaire structure and item composition. حسب Weizheng Jiang (21647509)

"…We collected data from finance and business administration interns using surveys and the After-Action Review method and analyzed them using the gradient descent algorithm. The findings reveal a dual effect of trust in AI on cognition: while functional and emotional trust enhance higher-order cognition, the transparency dimension of cognitive trust inhibits cognitive processes. …"

Structure of the style prediction network. حسب Bei Huang (485021)

The results of GSEA. حسب Junjie Su (368807)

"…</p><p>Results</p><p>Through differential expression analysis, 65 common DEGs were identified in both NAFLD and AIS. Functional enrichment analysis showed that these genes mainly involve signal pathways related to immune regulation and inflammatory responses. …"

The external validation. حسب Junjie Su (368807)

"…</p><p>Results</p><p>Through differential expression analysis, 65 common DEGs were identified in both NAFLD and AIS. Functional enrichment analysis showed that these genes mainly involve signal pathways related to immune regulation and inflammatory responses. …"

Analysis of immune cell infiltration in NAFLD. حسب Junjie Su (368807)

"…</p><p>Results</p><p>Through differential expression analysis, 65 common DEGs were identified in both NAFLD and AIS. Functional enrichment analysis showed that these genes mainly involve signal pathways related to immune regulation and inflammatory responses. …"

The primer sequences. حسب Junjie Su (368807)

"…</p><p>Results</p><p>Through differential expression analysis, 65 common DEGs were identified in both NAFLD and AIS. Functional enrichment analysis showed that these genes mainly involve signal pathways related to immune regulation and inflammatory responses. …"

Flow chart of the analysis steps in this study. حسب Junjie Su (368807)

"…</p><p>Results</p><p>Through differential expression analysis, 65 common DEGs were identified in both NAFLD and AIS. Functional enrichment analysis showed that these genes mainly involve signal pathways related to immune regulation and inflammatory responses. …"

Details regarding the 5 datasets. حسب Junjie Su (368807)

"…</p><p>Results</p><p>Through differential expression analysis, 65 common DEGs were identified in both NAFLD and AIS. Functional enrichment analysis showed that these genes mainly involve signal pathways related to immune regulation and inflammatory responses. …"

Supporting Data for “All-temperature barocaloric effects at pressure-induced phase transitions” حسب Zhao Xueting (21796316)

"…The PBEsol⁴⁰ exchange-correlation functional was used, which yields a better description of the equilibrium properties of solids⁴⁰. …"

Generalized Internal Coordinates for Creative Exploration of Interatomic Geometries حسب Aleksandr V. Marenich (1283298)

"…The analytical first- and second-order derivatives with respect to Cartesian coordinates are built automatically to provide for the seamless integration of such GICs into geometry optimization, potential energy surface searching and scans, and normal-mode analysis in terms of internal coordinates, all without further coding. Our algorithm allows the user to create compound internal coordinates that are functions of other coordinates, as well as special-purpose coordinates for specific classes of problems. …"

Generalized Internal Coordinates for Creative Exploration of Interatomic Geometries حسب Aleksandr V. Marenich (1283298)

"…The analytical first- and second-order derivatives with respect to Cartesian coordinates are built automatically to provide for the seamless integration of such GICs into geometry optimization, potential energy surface searching and scans, and normal-mode analysis in terms of internal coordinates, all without further coding. Our algorithm allows the user to create compound internal coordinates that are functions of other coordinates, as well as special-purpose coordinates for specific classes of problems. …"

Generalized Internal Coordinates for Creative Exploration of Interatomic Geometries حسب Aleksandr V. Marenich (1283298)

"…The analytical first- and second-order derivatives with respect to Cartesian coordinates are built automatically to provide for the seamless integration of such GICs into geometry optimization, potential energy surface searching and scans, and normal-mode analysis in terms of internal coordinates, all without further coding. Our algorithm allows the user to create compound internal coordinates that are functions of other coordinates, as well as special-purpose coordinates for specific classes of problems. …"

Generalized Internal Coordinates for Creative Exploration of Interatomic Geometries حسب Aleksandr V. Marenich (1283298)

"…The analytical first- and second-order derivatives with respect to Cartesian coordinates are built automatically to provide for the seamless integration of such GICs into geometry optimization, potential energy surface searching and scans, and normal-mode analysis in terms of internal coordinates, all without further coding. Our algorithm allows the user to create compound internal coordinates that are functions of other coordinates, as well as special-purpose coordinates for specific classes of problems. …"

A Solvent Selection Framework for Porous Organic Polymers حسب Xue Fang (648169)

"…In this work, we present a solvent selection toolkit for functional porous organic polymers. We have developed the <i>MLoc</i> algorithm for the fast determination of Hansen solubility parameters (HSPs) for novel materials. …"

Standard deviation over mean of the distances ratio. حسب Luca Maria Del Bono (20479625)

Difference between the mean of the distances inside the first peak and the minimum distance. حسب Luca Maria Del Bono (20479625)

Standard deviation of distances inside the first peak. حسب Luca Maria Del Bono (20479625)

Mean distance inside the first peak. حسب Luca Maria Del Bono (20479625)

The results of curve fitting analysis. حسب Hai-bo Ai (20790405)

The information of datasets used in this study. حسب Kaiyi Zhou (2553352)

"…</p><p>Methods</p><p>We utilized datasets from the Gene Expression Omnibus (GEO) database to identify differentially expressed genes (DEGs) and perform functional enrichment analyses. To identify the marker genes, we applied two machine learning algorithms: the least absolute shrinkage and selection operator (LASSO) and the support vector machine recursive feature elimination (SVM-RFE). …"