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Base de datos utilizada para elaborar el trabajo titulado: "Differential Roles of Pain Catastrophizing Subdimensions in Prescription Opioid Misuse Among Patients with Chronic Non-Cancer Pain"

Postoperative TENS use

This replication package accompanies the paper “Rethinking Training History in Financial Distress Forecasting: The Case of AI Adoption.” It provides prepared modelling datasets, R code, heterogeneity metadata, and instructions for evaluating six classifiers with and without AI indicators across alternative training histories and test years.

Certifiably Evasion-Resistant Android Malware Detection from Dynamic Behavior: Monotone Models over Substitution-Closed System-Call Features

This dataset contains 48 original HMT-SEM images, corresponding manual microstructural line annotations, fixed image-level train/validation/held-out splits (34/7/7), physical-scale metadata, and frozen intermediate and classification results supporting the associated manuscript. Four independent classifiers associate segmented silver particles with grain boundaries and screen slip-band candidates. Labels derived from manual lines are weak supervision and an evaluation reference, not independently assigned particle ground truth. The package includes source data for the current figures, archived MATLAB models/code, and an integrity/metric verification script. Training from scratch has not been independently reproduced from this package; historical wide-field training image caches were not recovered.

Research data supporting "Flame Propagation Characteristics of High-Pressure Hydrogen-Oxygen Combustion and Their Effects on Interior Ballistics"

This dataset contains the raw and processed data supporting the study entitled "Effects of Trelagliptin on Renal Injury in Experimental Diabetic Rats and Ferroptosis-Related Molecular Changes in High-Glucose-Treated Podocytes". The study investigated the protective effects of trelagliptin (TRE) against diabetic kidney injury and its potential involvement in ferroptosis, oxidative stress, and inflammation. The dataset includes two experimental parts: 1. Animal experiments:** A high-fat diet and streptozotocin (STZ)-induced diabetic rat model was established. Animals were assigned to four groups: Control (Con), Control + TRE (Con+TRE), Diabetes mellitus (DM), and DM + TRE (DM+TRE). Trelagliptin was administered by oral gavage at 40 mg/kg once weekly for 12 consecutive weeks. The collected data include 24-hour urine measurements, urinary protein and creatinine concentrations, kidney-to-body weight ratios, renal histological observations, malondialdehyde (MDA) measurements, and the expression of ferroptosis- and inflammation-related markers. 2. In vitro experiments:** MPC5 podocytes were exposed to high glucose (30 mmol/L) for 24 hours. Four experimental groups were established: MAN, HG+DMSO, HG+Fer-1, and HG+TRE. Ferrostatin-1 (Fer-1) and trelagliptin were used at 1.5 μmol/L with a 2-hour pretreatment. The collected data include reactive oxygen species (ROS) fluorescence measurements and the expression of ferroptosis- and inflammation-related proteins. The dataset contains original experimental images, Western blot data, quantitative PCR results, fluorescence measurements, and corresponding quantitative analyses, as applicable to the uploaded files. These data are provided to support the interpretation, verification, and reproducibility of the findings reported in the associated study.

Raw data and code for the manuscript "Dietary metal risk to the Persian gazelle (Gazella subgutturosa) near a desert highway: two-dimensional Monte Carlo and Bayesian hierarchical exposure models compared" (Belmaseb et al., submitted to Ecological Modelling). QUESTION: Do road-derived metals (Pb, Cd, Ni, Co, Cr) raise the dietary exposure of a wild herbivore to a level of concern, and does the conclusion depend on the model used? Expected: forage metals decline with distance from the road; benchmark uncertainty, not exposure, controls the risk conclusion. SAMPLING: Mouteh Wildlife Refuge, Esfahan Province, central Iran. Two transects (tr1, tr2; ~20 km apart) perpendicular to a highway, each with points at 0, 50 and 250 m. In mid-June, three replicates per point: surface soil (0-5 cm; n=18), forage of three species (Artemisia sieberi, Scariola orientalis, Launaea acanthodes; n=54, unwashed) and fresh gazelle feces (n=18). All matrices share Transect, Distance (m) and Replicate. ANALYSIS: ICP-MS; mg/kg dry weight, reported as measured (no substitution). Values are flagged OK/BDL against conservative reference limits from the laboratory's ISO/IEC 17025 certificate (AAS scopes, not ICP-MS detection limits). QC: soil field duplicates RPD <=15.8% (criterion 20%); standards recovery 97-106%. FILES: Supplementary_Data_EcolModel.xlsx (soil, plant, fecal, LOD and QA sheets); mc_model.py (2-D Monte Carlo, Sobol sensitivity); bayes_model.py (Bayesian hierarchical models); fig_concept.py; qa_qc.py; results/ (outputs, Figures 2-7, S1-S2). MODELS: (1) 2-D Monte Carlo: 3,000 simulated gazelles (variability) x 1,000 draws of intake rate and US EPA Eco-SSL toxicity reference values (uncertainty). Hazard Quotient HQ = dose/TRV; P(concern) = share of draws with 95th-percentile HQ >= 1. (2) Bayesian hierarchical model of ln concentration (species x distance, transect random effect), PyMC/NUTS. KEY FINDINGS: Forage at the road margin carried 1.2-1.9 times the concentrations at 250 m (Bayesian ratio, P>0.99); soil 1.2-1.4 times; fecal ratios ~1. HQ95 stayed far below 1 for Pb, Cd and Co (P(concern) <1.5%). Ni (2-D MC 24% near road, 17% far; Bayesian 32%, 24%) and Cr (12%, 8%; 17%, 11%) were the elements of concern. TRV uncertainty explained 70-96% of HQ variance (Sobol). Feces-implied diet was 0.1-1.0 x modelled forage, so exposure is unlikely underestimated. INTERPRETATION: HQ is a screening index, not a measured effect; HQ < 1 means the estimated dose is below the benchmark. Run times: ~5 min (mc_model.py), ~20 min (bayes_model.py); seeds are fixed. LIMITATIONS: one season, two transects, n=18 per matrix; reference limits only; generic Eco-SSL benchmarks; no field validation. Licence: CC BY 4.0 (data and code). Contact: H. R. Azimzadeh, Yazd University, hazimzadeh@yazd.ac.ir. Article DOI: to be added

This dataset contains the data and files used to produce Figures 1a, 1b, 2, 3, 4, 5 and A.1 of the paper "The (Ir)relevance of Limited Asset Market Participation for Monetary Policy: The Role of Union Wage-Setting Structures", forthcoming in Economic Modelling. The files are organized into seven folders, one for each figure. They include Excel spreadsheets, source data, MATLAB scripts and graphical files. A README file provides further information on the contents of each folder and instructions for reproducing the figures.

The dataset used in the present study was collected to examine the role of emotion and attribution in people's responses to emotionally relevant and potentially threatening intergroup events in the context of Hindu–Muslim relations in India. The study focused on two major religious groups in India: Hindus, representing the majority religious group, and Muslims, representing a minority religious group. The dataset therefore provides information about participants from both sides of the intergroup relationship and enables comparative analysis of their perceptions, emotional responses, and attributional processes. The data were collected during a period of considerable political and social sensitivity in India. At the time of data collection, the country was experiencing heightened public attention to communal violence, terrorist attacks and bomb blasts associated in public discourse with extremist groups, and the approaching general elections. Political developments during this period also brought questions concerning Hindu–Muslim relations prominently into public discussion. Consequently, issues of intergroup identity, communal relations, responsibility, threat, emotion, and attribution were particularly salient in the social and political environment in which the respondents participated. This contextual background is important for understanding the dataset because participants' responses to intergroup events cannot be considered independently of the broader social environment. Exposure to information about communal violence, terrorism, political competition, and intergroup conflict may influence how individuals interpret an event, experience emotions toward members of another group, and assign responsibility or blame for the event. Study Population The target population consisted of adult members of the Hindu and Muslim communities in India. The study included respondents from both urban and rural backgrounds, thereby providing some degree of socioeconomic and geographical variation within the sample. A total of 300 respondents participated in the study. Of these: 154 respondents were Muslims 146 respondents were Hindus Thus, the two religious groups were relatively balanced in terms of overall sample size. The Muslim group consisted of 81 males and 73 females, while the Hindu group consisted of 84 males and 62 females. Overall, therefore, the dataset contained 165 male participants and 135 female participants. The age of respondents ranged from 18 to 68 years, ensuring representation of participants from young adulthood through older adulthood. Educational qualifications ranged from 10th standard to postgraduate level, indicating variation in participants' educational backgrounds. Gender distribution Among the Muslim respondents, 81 (52.6%) were male and 73 (47.4%) were female. Among Hindu respondents, 84 (57.5%) were male and 62 (42.5%) were female.