Mendeley Data Showcase

Data and supporting documentation of the paper Titled with " Reconfiguring the Audit Society in the Sustainability Era: A Systematic Review of Sustainability Assurance and Audit Expectation Gaps"

This data contains 89 row with 17 column, and represent technology accptance model for web based application named SiBrand. SiBrand is a website to help SMEs build branding conceptual strategies.

Experimental data and scripts (.Rmd) for the analysis of data on colony and cll morphology of yeasts isolated from table olives, olive oils and relate environments, as supporting material for the manuscript "Discriminatory ability of WL Nutrient Agar for yeasts associated with table olives: a binary scoring and machine learning approach". The input data are identical to the previous version but there are many substantial additions and changes to the statistical analysis

Dataset of large simulation on PC1D-6 software and validation dataset of its validation from SCAPS-1D with the comparison included

Control transitions in Level 3 automated driving rely heavily on human-machine interfaces (HMIs), yet empirical insights into how explanatory HMIs (X-HMIs) shape driver trust, perceived safety, and takeover performance across pre-task, during-task, and post-task phases remain scarce. This driving simulator study (n = 64) employed a 2 (HMI type: basic B-HMI vs. explanatory X-HMI) × 3 (task phase) mixed design to compare objective takeover metrics (time, lateral stability) and subjective evaluations across planned and unplanned takeover scenarios. In terms of objective performance, X-HMI did not significantly reduce takeover time for either planned or unplanned takeovers (p = 0.295 and p = 0.340, respectively) , but markedly improved takeover quality: y-axis velocity deviation decreased by 46% (p < 0.001) and steering angle deviation by 58% (p < 0.001), indicating enhanced lateral stability and smoother control. Subjectively, X-HMI significantly elevated trust and perceived safety across all phases (all p < 0.001) with large effect sizes (Cohen’s d > 1.4). These findings suggest that X-HMIs enhance Level 3 automation safety and user experience not by expediting driver responses, but potentially by calibrating appropriate trust and contributing to stable control transitions. Phase-specific transparency—aligning explanatory content with the cognitive demands of pre-, during-, and post-task interactions—emerges as a core HMI design principle, providing a validated framework for developing user-centered automated driving systems.

To explore the diagnostic criteria of acute undifferentiated leukemia (AUL) with FLT3 missense mutations,

This repository contains the replication code for “Consolidation of Local Health Authorities and Mortality in the Italian NHS”, published in the Journal of Health Economics (https://doi.org/10.1016/j.jhealeco.2026.103174). The underlying data used in this project come from several administrative sources. Data from the Italian Ministry of Economy and Finance and the Ministry of Health are publicly available. Inter-municipal travel times, the SNAI classification, and population data are released by the Italian National Institute of Statistics (Istat) and are also publicly available. Municipal-level mortality data by 5-year age groups were provided by Istat following a fee-based data-processing request and under restricted-access conditions. These data were accessed separately by age group and by cause of death. The authors are not allowed to redistribute these data. The two restricted-access mortality datasets cannot be linked to each other. The file “Instructions on how to access the data.pdf” provides further information.

Accelerations recordings of base isolation vs fixed base model, including 5 test repretitions. FFT of base isolation models and system. Etabs file of numerical model. CAD and STL files with print settings.

This replication package provides the code, documentation, and structured datasets required to reproduce the principal empirical results reported in the paper. The sample is drawn from property and life insurers operating in China from 2017 to 2022. Insurer level financial, technological, and regional data are compiled from the “Thirteen Actuaries” database, the China Insurance Yearbook, Qichacha, the PKU Digital Financial Inclusion Index of China, the China Regional Innovation Capacity Evaluation Report, and public disclosures. The package is designed to promote transparency and support independent verification of the study’s empirical analyses.

This dataset contains experimental videos and associated metadata from the study "The fate of barchan dunes crossing porous barriers". The experiments were performed in a controlled water channel, where subaqueous barchan dunes composed of granular particles migrated under steady flow conditions and interacted with a porous barrier consisting of an array of cylindrical pins. Unlike impermeable obstacles, the porous barrier allows sediment to be transmitted through the array while simultaneously promoting trapping, fragmentation, overpassing, and lateral bypass, leading to distinct interaction regimes. The recorded videos document the complete temporal evolution of the dune-obstacle interaction and illustrate four regimes: Overpassing, Overpassing with Disintegration, Partially Trapped, and Trapped. In addition to the videos, the dataset includes metadata describing the experimental conditions, including flow parameters, sediment properties, dune characteristics, and obstacle geometry, enabling reproducibility and further quantitative analysis of dune interactions with porous obstacle fields. For proper visualization, please download the videos.