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A Multidimensional Structure of Digital Anxiety in Older Adults

Replication package for "Cross-Industry Heterogeneity in ESG Event Pricing: Evidence from Short-Horizon Abnormal Returns." This package provides code and data to reproduce all empirical results in the paper. The study examines how industry membership shapes short-horizon cumulative abnormal returns (CARs) following ESG-related news events for S&P 500 firms over 2009–2020. The central finding is that industry fixed effects improve out-of-sample predictive R² by 0.10–0.15 relative to event-level feature baselines, operating through a return dispersion mechanism rather than a shift in median direction. Kruskal-Wallis tests fail to reject equality of industry medians at all horizons, while Levene tests reject equality of variances at p < 0.001. Structured materiality features derived from SASB topic overlap and FinBERT pillar probabilities add little incremental explanatory power beyond industry controls. The included dataset (esg_events_sasb.csv) contains 675 ESG events identified from approximately 1.4 million Benzinga news headlines, scored using FinBERT-ESG for pillar classification, DistilBERT for sentiment, and BART-Large-MNLI for severity, disclosure mismatch, and SASB topic indicators. After cleaning and market model estimation, the analytical sample comprises 585 firm-event observations across 152 S&P 500 firms and 48 SASB industries. The replication script (replicate.py) reproduces the full pipeline from event cleaning through Random Forest cross-validation and produces all figures and intermediate summary statistics used in the paper. All reference datasets (S&P 500 universe, SASB materiality map, GICS-to-SICS industry mapping) are included. The raw Benzinga headline data must be downloaded separately from Kaggle (link provided in README.md) and is only required to re-run the NLP ingestion stage from scratch. * Version 2 fixed bug in date alignment for events that take place on a non-trading day.

The data underlying this study are derived from publicly available sources, including the Sustainable Development Reports, World Bank World Development Indicators, Worldwide Governance Indicators, and Global Findex database.

This dataset examines the relationship between cervical range of motion (ROM) and pain pressure threshold (PPT) of deep neck flexor muscles among young adult females, with consideration of body mass index (BMI) and daily screen time exposure. A total of 191 participants aged 18–26 years were assessed in a cross-sectional design. Cervical ROM (flexion, extension, lateral flexion, and rotation) was measured using a universal goniometer, while PPT was evaluated using a pressure algometer. Pain intensity was recorded using the Visual Analog Scale (VAS). BMI was calculated from measured height and weight, and screen time was evaluated by Smartphone Addiction Scale- Short Version (SAS-SV). The dataset indicates significant associations between reduced cervical ROM, lower PPT, higher BMI, and increased screen time exposure. Trends suggest that individuals with prolonged screen use and higher BMI may exhibit decreased neck mobility and increased pain sensitivity. This dataset provides valuable insight into the interaction between musculoskeletal function and lifestyle factors in young females. It can be used for correlation, regression, and subgroup analyses, and may support future research in physiotherapy, ergonomics, and preventive healthcare interventions targeting neck pain and dysfunction.

The dataset comprises the complete pre- and post-processing computational environments utilised to evaluate the biomechanical response of the bifid mandibular condyle under physiological loading. The repository includes the fully parameterised finite element model (.fsm) and the corresponding simulation output database (.xplt), both native to the FEBio software suite. The .fsm file encapsulates the entire numerical architecture, explicitly defining the spatial discretisation, kinematic boundary conditions, multiaxial loading vectors, and the orthotropic constitutive models governing the osseous tissue mechanics. The .xplt file archives the resolved computational state, providing high-fidelity nodal and elemental field outputs for structural deformation, strain, stress distribution, and strain energy density.

Study Inclusion and Exclusion Criteria

This study aims to evaluate the usability of curvature as a subdivision of the shape visual variable for multivariate mapping. The study conducted eye-tracking experiments and questionnaires to compare the performance of three multivariate map design solutions (curvature, value-size, hue-size, called CU, V-S, H-S, separately) on different symbol types (point, line, area). The study used the Tobii Pro X3-120 desktop eye tracker to collect metrics such as fixations, saccades, time to first fixation, change in pupil diameter, and blink frequency. At the same time, subjective usability scores were collected through questionnaires. Due to ethical considerations and privacy protection, only summarized eye-tracking and rating data are shared.

This dataset supports the manuscript “Renewable curtailment under China’s mechanism-settled electricity reform: A three-party evolutionary game analysis of green certificate pricing”, submitted to Energy Policy. The dataset contains the processed inputs and simulation materials used to examine whether green electricity certificate (GEC) prices can contribute to renewable curtailment reduction after China’s Notice No. 136. It includes author-compiled renewable utilization data for Heilongjiang Province in 2025, official monthly GEC price anchors, policy-stage classification, scenario-calibrated model parameters, GEC-price perturbation settings, and simulation outputs for the August transition-stage and October post-implementation experiments. The renewable utilization data are derived from publicly available official and sectoral sources and are processed into monthly wind, photovoltaic, and composite renewable utilization indicators. The GEC price anchors are based on official monthly green certificate market bulletins. Other model parameters, including mechanism-settlement proxies, market-price proxies, behavioral parameters, and sensitivity ranges, are scenario-calibrated values used for mechanism-testing simulation rather than directly observed market data. The dataset is intended to improve transparency and reproducibility of the perturbation experiments reported in the manuscript. The accompanying simulation code or pseudocode reproduces the main scenario-calibrated results, including the identification of stage-specific effective GEC-price windows and the comparison between August and October policy environments.

This repository contains the MATLAB codes and price data along with the README document to reproduce the empirical results in the manuscript.

To feed a growing population, humanity will need to see an increased global agricultural output in crop production. One key strategy for achieving this goal is to reduce herbivory by insect pests, which is one of the leading causes of crop loss. Although there have been many strategies for combatting insect herbivores, naturally sourced approaches such as biocontrol may be the most sustainable in the long term. Birds in particular are potentially important biocontrol agents, but how avian predation varies within agricultural settings remains largely unknown. Here we analyzed temporal and spatial variation in avian predation on insect pests in a small-scale agricultural setting. Our results show that the spatial distribution of predation is nearly uniform across a small field, indicating that birds with their high intrinsic rate of movement may be particularly well suited for applying constant, uniform coverage across some landscapes. We also found that bird predation varied significantly between seasons. We discuss the applications of our findings for improving future studies investigating the biocontrol potential of natural bird populations and for leveraging avian predation to help improve food production systems.