Comparison of related studies with our work. by Zhipeng Huang (1759759)

“…We propose a time-space-state three-dimensional network (TSSN) that integrates preferences for travel time, fares, and seat classes. Impedance functions for various network arcs are developed, incorporating these three key attributes of travel demand and transforming the passenger travel choice issue into a path selection problem within the TSSN. …”

Unit impedance of each OD pair. by Zhipeng Huang (1759759)

“…We propose a time-space-state three-dimensional network (TSSN) that integrates preferences for travel time, fares, and seat classes. Impedance functions for various network arcs are developed, incorporating these three key attributes of travel demand and transforming the passenger travel choice issue into a path selection problem within the TSSN. …”

Subscripts and parameters used in TSSN. by Zhipeng Huang (1759759)

“…We propose a time-space-state three-dimensional network (TSSN) that integrates preferences for travel time, fares, and seat classes. Impedance functions for various network arcs are developed, incorporating these three key attributes of travel demand and transforming the passenger travel choice issue into a path selection problem within the TSSN. …”

Occupying rate of v-class seat in each train. by Zhipeng Huang (1759759)

“…We propose a time-space-state three-dimensional network (TSSN) that integrates preferences for travel time, fares, and seat classes. Impedance functions for various network arcs are developed, incorporating these three key attributes of travel demand and transforming the passenger travel choice issue into a path selection problem within the TSSN. …”

Schematic diagram of mutation operation. by Zhipeng Huang (1759759)

“…We propose a time-space-state three-dimensional network (TSSN) that integrates preferences for travel time, fares, and seat classes. Impedance functions for various network arcs are developed, incorporating these three key attributes of travel demand and transforming the passenger travel choice issue into a path selection problem within the TSSN. …”

The values of other input parameters. by Zhipeng Huang (1759759)

“…We propose a time-space-state three-dimensional network (TSSN) that integrates preferences for travel time, fares, and seat classes. Impedance functions for various network arcs are developed, incorporating these three key attributes of travel demand and transforming the passenger travel choice issue into a path selection problem within the TSSN. …”

Optimized unbalanced train operation chart. by Zhipeng Huang (1759759)

“…We propose a time-space-state three-dimensional network (TSSN) that integrates preferences for travel time, fares, and seat classes. Impedance functions for various network arcs are developed, incorporating these three key attributes of travel demand and transforming the passenger travel choice issue into a path selection problem within the TSSN. …”

SHAP values for H3K4me3, co-occupying PRC1 (RING1B) and PRC2 (SUZ12) components and their catalytic marks across multiple time points following RING1B degradation. by Kashyap Chhatbar (9515350)

Spike sorting performance dependence on pre-recording duration. by Tjitse van der Molen (20391106)

Constructing Accurate Potential Energy Surfaces with Limited High-Level Data Using Atom-Centered Potentials and Density Functional Theory by Mahsa Nazemi-Ashani (21876936)

“…The effectiveness of the algorithm is demonstrated through its application to the HFCO and uracil molecules. …”

Immune infiltration analysis. by Meili Liu (327309)

Disease subtype based on key genes. by Meili Liu (327309)

Cellchat results presentation and expression detections of key gene in RAW264. cell lines and co-cultured RAW264.7 cell lines. by Meili Liu (327309)

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)

DFT-Based Calculation of the Vibrational Sum Frequency Generation Spectrum of Noncentrosymmetric Domains Interspersed in an Amorphous Matrix by Juseok Choi (13516495)

“…Using those representative modes only, the experimental spectral features can be simulated reliably through a numerical algorithm, taking into account the random quasi-phase matching principle. …”

DFT-Based Calculation of the Vibrational Sum Frequency Generation Spectrum of Noncentrosymmetric Domains Interspersed in an Amorphous Matrix by Juseok Choi (13516495)

“…Using those representative modes only, the experimental spectral features can be simulated reliably through a numerical algorithm, taking into account the random quasi-phase matching principle. …”

DFT-Based Calculation of the Vibrational Sum Frequency Generation Spectrum of Noncentrosymmetric Domains Interspersed in an Amorphous Matrix by Juseok Choi (13516495)

“…Using those representative modes only, the experimental spectral features can be simulated reliably through a numerical algorithm, taking into account the random quasi-phase matching principle. …”

DFT-Based Calculation of the Vibrational Sum Frequency Generation Spectrum of Noncentrosymmetric Domains Interspersed in an Amorphous Matrix by Juseok Choi (13516495)

“…Using those representative modes only, the experimental spectral features can be simulated reliably through a numerical algorithm, taking into account the random quasi-phase matching principle. …”

DFT-Based Calculation of the Vibrational Sum Frequency Generation Spectrum of Noncentrosymmetric Domains Interspersed in an Amorphous Matrix by Juseok Choi (13516495)

“…Using those representative modes only, the experimental spectral features can be simulated reliably through a numerical algorithm, taking into account the random quasi-phase matching principle. …”

DFT-Based Calculation of the Vibrational Sum Frequency Generation Spectrum of Noncentrosymmetric Domains Interspersed in an Amorphous Matrix by Juseok Choi (13516495)

“…Using those representative modes only, the experimental spectral features can be simulated reliably through a numerical algorithm, taking into account the random quasi-phase matching principle. …”