Mendeley Data Showcase

This double-blind, randomized, placebo-controlled trial (n=74, 2:1 allocation) evaluated polarity analysis-guided individualized homeopathic medicines (IHMs) versus placebo over 3 months in adults with chronic primary heel pain, using Foot Function Index (FFI) total score as primary outcome and MYMOP-2 as secondary, revealing monotonic FFI improvement in IHMs versus flat placebo trajectories (FDA divergence by week 3; p<0.001), placebo ending 29.9 points higher (GEE; p<0.001), 100% Bayesian superiority probability (slope difference 16.06), 100% responder rates (MCID ≥7; OR=741, NNT=1.1; AUC difference -96.7; p<0.001), robust across subgroups/sensitivity analyses via MLMM/GEE, confirming PA-guided IHMs as safe, rapidly effective therapy warranting larger confirmatory trials.

As pivotal institutional innovations, Free Trade Zones (FTZs) in China have significantly contributed to economic growth and innovation. However, their role in fostering corporate green transition (CGT) remains underexplored, particularly in the context of environmental governance and sustainability. This study investigates the impact of FTZs on CGT using a sample of China’s A-share listed companies from 2007 to 2021. Employing a staggered difference-in-differences approach, the research identifies a significant positive effect of FTZs on CGT, with an average increase in green transition of 8.6%. The findings reveal that this effect is more pronounced in less-polluting industries, enterprises with state-owned property, and located in environmental protection regions. The study highlights key mechanisms driving these impacts, including improved environmental disclosures, alleviated financing constraints, and reverse knowledge transfer. The study provides actionable policy recommendations, such as strengthening environmental disclosure regulations, attracting green foreign investments, and fostering outward green investments to amplify reverse knowledge transfer effects. These findings advance the literature on environmental governance, institutional openness, and green development, offering valuable guidance for policymakers and practitioners in leveraging FTZs for high-quality green development.

This dataset contains a collection of interface screenshots from two web-based culinary discovery platforms: Foodierate and Peek & Map (CUI). The dataset focuses exclusively on visual interface representation and does not include user interaction logs, behavioral data, or evaluation results. The screenshots capture some main pages such as Home page, Detail Restaurant Page, Review Page, for both platforms, and some visual elements of both platforms, including map views, search and filtering interfaces, and navigation components. The dataset is intended to provide visual reference material for comparative interface analysis, design inspection, and documentation purposes in human–computer interaction (HCI) and user interface (UI) research for this study. The evaluation component includes user experience data collected using the User Experience Questionnaire (UEQ) and expert-based usability inspection data derived from Nielsen’s usability heuristics. Expert severity ratings were assessed for inter-rater reliability using Fleiss’ Kappa, and the resulting reliability calculations are included as supporting evidence of rating consistency. Both raw and processed evaluation data are provided. This dataset is intended for reuse in human–computer interaction (HCI), user interface analysis, and UX evaluation research, particularly studies involving heuristic inspection, reliability analysis, and comparative interface assessment.

The replication package contains firm-level panel datasets used in the empirical analysis, including the main matched dataset for baseline regressions and additional datasets constructed for mechanism analyses.

README: Replication Package Paper Title Innovation-Economic Trade-offs：A Perspective of Low-Carbon Policy Intensity This replication package provides all the publicly available data, code, and instructions required to reproduce the main empirical results of the above-mentioned research paper. The package is designed to facilitate transparency and enable independent verification of all statistical findings reported in the study.

Replication files for the results reported in the paper “The Effect of Default Risk Transfer under Central Bank Collateral Framework”, by Langlei Ji and Jingyi Zhang (Journal of Finance and Economics， 2023, 49(05):33-48.） 季朗磊,张婧屹. 央行担保品框架下银行贷款的违约风险外移效应——兼论担保品扩容对宏观经济波动与货币政策有效性的影响. 财经研究,2023,49(05):33-48.

This repository contains supplementary materials for the study "A Comprehensive Evaluation of Urban Quality of Life in Sari, Iran: Integrating Objective and Subjective Assessments". The materials included are crucial for enhancing the transparency of the research process. Pairwise Comparisons Matrix.pdf: A sample of the pairwise comparison matrix for four items used in the study for each expert is presented. Once the experts complete, the frequency for each comparison will be recorded in the respective cells. The aggregated pairwise comparison will then be employed in the FAHP method using extent analysis. Primary Integrated Matrices_raw.rar This RAR file contains all the integrated comparison matrices in CSV format, used for calculating normalized weights through FAHP in the study. Each cell in these matrices indicates the number of times it was selected by the 15 experts. data not related to access time.pdf: This document provides a detailed description of how the objective data not related to access time are measured. This process is explained to aid researchers in understanding how objective data were quantified and analyzed to correlate with subjective life quality assessments. questionnaire.pdf: This file includes the questionnaire utilized to evaluate Sari residents' subjective quality of life. It covers multiple aspects of life quality, with items presented as statements rated on a 5-point Likert scale.

This dataset is the original data of the paper, including field sampling data and DNDC model operation data

Orchard harvesting robots face critical challenges in apple recognition and localization, including low efficiency, high costs, and inadequate anti-interference capability. To address these issues, this study proposes the AppStabLoc algorithm, inspired by human environmental perception. The algorithm integrates unmodified, vanilla YOLOv11s (real-time apple detection), FAST-LIO SLAM (spatial mapping and coordinate transformation), and DBSCAN-Kalman optimization (noise mitigation and precision enhancement). It employs YOLOv11s, which is combined with a proposed elliptical ROI to mitigate corner-related errors in rectangular ROI and quadratic weighted mean-based depth estimation to extract local 3D coordinates of apple centers, transforms these to global map coordinates via FAST-LIO to eliminate cumulative errors, and refines accuracy through DBSCAN-Kalman filtering for stable outputs. Experiments on a prototype equipped with LiDAR, IMU, RGB-D camera and edge computing unit demonstrated that optimized average RMSD reduced to 0.0009 m (87% reduction vs. raw data) and average maximum Euclidean distance to 0.0036 m (90% reduction), far exceeding the typical precision requirement ≤ 0.005 m for orchard harvesting robots. This low-cost, edge-computing-enabled algorithm overcomes limitations of standalone deep learning models and traditional approaches, providing a practical solution for high-precision stable apple localization in complex orchards and facilitating large-scale deployment of intelligent agricultural robots.

During the unprecedented times of the pandemic, online learning became inevitable. This led to a parallel space for pedagogical innovations alongside traditional teaching and learning processes. Technology provides several opportunities for classroom-based experimentations driven by teachers embedded in their micro-contexts. The teaching of listening is often marginalized in language classrooms. However, the online mode lends itself to aural texts in the classroom, surpassing the technological barriers of a traditional classroom. Technology adds convenience, helps to create a self-paced learning environment, and allows teachers to bring innovative ways to assess aural skills. The fast-growing and increasing trend in the use of ICT resources has the potential to address varying learner needs. This study aims to understand undergraduate learners' perceptions of listening tasks that were used for online assessment.