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Raw files for the manuscript

This folder contains Stata code and related data files used for regression analysis. The data and code used in this document are compatible with Stata MP18.

Test data of low-velocity impact test

The data explain about how AI can enhance the digital marketing strategies in the context of e-commerce startups

This longitudinal imaging study describes the natural progression of computed radiographic (CR) joint damages in a cohort of dogs with hindlimb osteoarthritis and their relationship with MRI findings. Fifty-one OA dogs and six controls were followed over three years using standardized radiographic and MRI scoring. Distinct progression trajectories (fast, slow, and non-progressors) were identified, with the stifle joint showing the clearest differentiation. Fast-progressors exhibited greater structural deterioration and stronger alignment between clinical impairment, radiographic damage, and MRI lesions. These findings highlight the heterogeneous nature of canine OA progression and the clinical relevance of repeated imaging.

Research Overview and Hypotheses This repository contains the replication code and methodological documentation for our study examining the relationship between firm attributes (size, age, ownership structure, growth rate, and managerial experience) and the severity of business obstacles in Zambia. Grounded in Institutional Theory, the Resource-Based View (RBV), and Credit Rationing Theory, the research tests the hypothesis that firm characteristics differentiate how businesses perceive and experience business obstacles. The study posits that resource-constrained firms (e.g., SMEs or younger firms) are more likely to report higher severity in obstacles such as access to finance, corruption, and infrastructure deficits compared to their larger, established counterparts. Data Description and Collection The underlying data is drawn from the 2019 World Bank Enterprise Survey (WBES) for Zambia. The dofile provides further details. First, Firm Attributes are constructed, recoding raw inputs into usable metrics for firm age (years), size (employee count categories), domestic ownership percentages, and historical growth rates. Second, Business Obstacles are derived from Likert-scale responses (ranging from 0="No Obstacle" to 4="Very Severe Obstacle"). The code further transforms these into binary variables to isolate "Major" and "Severe" constraints for probit analysis. Notable Findings and Interpretation Descriptive analysis of the dataset reveals that the most critical hurdles facing Zambian enterprises are access to finance, electricity supply, competition from the informal sector, customs regulations, tax rates, corruption, and political instability. The regression outputs, which can be reproduced using the attached code, demonstrate that the burden of these obstacles is not uniformly distributed. The data shows that firm attributes act as significant predictors for the intensity of these constraints. For interpretation, the Ordinal and Binary Probit models reveal the marginal effects of specific characteristics; for instance, a positive coefficient for the "Domestic_ownership" variable regarding "Access to Finance" indicates that wholly locally owned firms are more likely to perceive finance as a severe barrier than firms with some foreign ownership. Usage and Replication This repository provides the complete Stata syntax required to clean the raw data, generate descriptive statistics, and execute the regression models presented in the published article. Users should interpret the output tables as evidence of the varying influence of firm demographics on business operations. To use this code, users must download the raw dataset (Zambia-2019-full data.dta) from the World Bank Enterprise Surveys portal, as licensing restrictions prevent redistribution of the data here. The code is annotated to guide the user through recoding variables, generating the horizontal bar chart, and producing the tables for both ordinal and binary probit regressions.

This dataset contains the high-resolution figure files (Figure 2A, 2B, and 2C) used in the manuscript titled “EZH2 Upregulation Reflects Proliferation and Disease Stage in Mycosis Fungoides.” These images demonstrate representative Ki-67 immunohistochemical staining patterns in mycosis fungoides, illustrating weak, moderate, and strong proliferative activity in tumor lymphocytes. The figures are provided in publication-ready resolution (≥300 dpi) and standard image formats (TIFF/JPEG). These figures support the histopathologic and immunohistochemical findings reported in the manuscript submitted to the Journal of the American Academy of Dermatology (JAAD).

Patient data extracted from The Christie Foundation Trust's EPR system for the paper entitled "Quality of life assessment following cytoreductive surgery (CRS) and hyperthermic intraperitoneal chemotherapy (HIPEC) for appendiceal neoplasms and malignancies: electronic patient related outcome measurements (ePROMs) ". Data includes patient demographics (age, sex, BMI, ECOG PS, smoking status), disease factors (pathology, PCI, CC score) and QoL outcomes (EQ-5D). This dataset includes 200 entries/participants and approx 130 variables.,

The dataset contains cleaned survey data used to examine academic stress, academic motivation, and learner autonomy. Variables were measured using validated scales, and the dataset includes a separate sheet describing variable definitions and measurement ranges.

The data were collected from the Scopus database using the keyword "teacher agency." This keyword was searched in the title, abstract, and keywords of studies in the following formats: Article, Book chapter, Book, Conference paper, Review, Conference review, in English.