The values of other input parameters. حسب 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. حسب 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. …"

Data pre-processing and identification of DEGs. حسب Ziyang Liu (242055)

A. Illustration of the PredNet Architecture [57]. حسب Dirk Gütlin (22566778)

GO annotation and KEGG pathway enrichment analysis of DEGs. حسب Ziyang Liu (242055)

Identification of gly-DEGs. حسب Ziyang Liu (242055)

GSVA, GO, and KEGG Enrichment Analysis After Sample Clustering and Subtyping. حسب Ziyang Liu (242055)

Machine learning from 21 gly - DEGs filter core gene. حسب Ziyang Liu (242055)

Immune cell infiltration degree of evaluation. حسب Ziyang Liu (242055)

Sample clustering and subtyping analysis. حسب Ziyang Liu (242055)

Intersection gene screening. حسب Qingqing Xue (5152622)

Transitions between states for different scenario. حسب Corentin Robert (20902823)

"…Row (3) panels display kinetic potentials at the steady state as a function of the variable . These potentials are calculated based on the corresponding steady-state probability distributions, obtained through the Gillespie algorithm over 100.000 simulations, which are then smoothed into continuous distributions using kernel density estimation. …"

Interactive visualization of ocean unsteady flow data based on dynamic adaptive pathline حسب Fenglin Tian (6002957)

"…Moreover, it has the capability to dynamically capture intricate features within complex flow fields.</p>…"

A. Explanation of the data points used by EpiFusion; B. the key parameters of the EpiFusion particle filter. حسب Ciara Judge (20161514)

"…Beta must vary over time and can either be fit using (i) a random walk within the particle filter, (ii) linear splines within the particle filter, (iii) MCMC fitting in epochs by fixing or fitting change times and interval values, or (iv) MCMC fitting the parameters of a logistic function which defines beta over time; C. …"

Summary of the VERA 2.0 delineation process for four other enthesis-bearing bone regions in the human hand, commonly associated with muscles of major evolutionary and functional im... حسب Fotios Alexandros Karakostis (12442091)

Data generation process. حسب Nicola Dietler (12551766)

Residual risk of undetected blood-borne virus infection in deceased organ donors: Residual risk visualiser website حسب Martin Dutch (6601742)

"…<p dir="ltr"><b>Risk of Unexpected Donor Infection: Quarantine Adjusted Window Period Visualisation Tool</b></p><p dir="ltr">Before donation, deceased organ donors are screened for blood-borne viruses. …"

Supplementary Material for: Dynamic Prediction of Cardiovascular Death among Old People with Mildly Reduced Kidney Function Using Deep Learning Models Based on a Prospective Cohort... حسب figshare admin karger (2628495)

"…ABSTRACT Aim: Cardiovascular disease (CVD) is more likely to occur in old people with mildly reduced kidney function. We aimed to identify target features in this cohort to reduce cardiovascular death using deep learning models. …"

Four potential therapeutic drugs. حسب Yufeng He (5673119)

Immunoassay of key anoikis-related genes. حسب Yufeng He (5673119)