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The document includes all new zircon U-Pb ages, zircon U/Th-He ages, apatite fission track ages, and U/Th-He ages from the Beishan samples tested in this study.

Background: Liver cirrhosis (LC) is characterized by progressive hepatocellular injury and inflammatory activation. However, the metabolic regulators that drive hepatocyte injury in the cirrhotic microenvironment remain poorly defined. Methods: Integrative analyses combining bulk transcriptomics with single-nucleus RNA sequencing were performed to identify LC–glycolysis genes. Pseudotime analysis was performed to investigate dynamic changes in cell populations during disease progression. Multiple enrichment analyses and AUCell were conducted to characterize gene functions. Immunohistochemistry, immunofluorescence, and western blotting were used for experimental validation in cell models, a bile duct ligation (BDL) mouse model, and patients with liver cirrhosis. Results: Forkhead box O3 (FOXO3) was identified as an LC–glycolysis gene. It was predominantly upregulated in hepatocytes, particularly within a stress-associated subpopulation with enhanced glycolysis. Pseudotime analysis revealed a progressive increase in FOXO3 expression during disease progression. Enrichment analyses revealed activation of the hypoxia response, unfolded protein response, apoptosis, and mitophagy, characterizing a specific stressed hepatocyte subpopulation that links metabolic reprogramming and inflammatory activation. TNFα signalling was also elevated in stressed hepatocytes. Experimental validation in HepG2 cells, BDL mouse models, and human cirrhotic tissues confirmed increased FOXO3 and TNFα expression, along with increased expression levels of apoptosis and fibrosis markers. Conclusion: FOXO3 appears to drive LC progression by modulating glycolysis-associated stress responses via mitophagy and activating TNFα signalling in hepatocytes.

This deposit provides a normalized, relational representation of country-level economic, demographic, and investment-related measures suitable for teaching and research in data management, longitudinal analysis, and international development. The database integrates two authoritative public sources. Macroeconomic and investment-style series are derived from the World Bank’s World Development Indicators (WDI) and related World Bank country metadata, which supply comparable cross-country time series with documented definitions and units. Demographic series are derived from the United Nations Department of Economic and Social Affairs, Population Division, World Population Prospects (WPP), which provides internationally harmonized demographic estimates and projections by location and time period. By separating reference data (countries, indicators, and extract provenance) from long-format observations, the schema avoids redundant storage of labels and units, supports referential integrity, and makes it straightforward to append new years or indicators without restructuring tables. The normalized logical model emphasizes third normal form (3NF): each non-key attribute depends only on the key of its table, and repeating groups (for example, one column per year in a spreadsheet) are unpivoted into atomic rows keyed by country, indicator, and year. A single fact-style observation table stores numeric values with foreign keys to country and indicator dictionaries, while a data extract table records when files were downloaded and from which URLs, supporting reproducibility and auditability. Optional views can present wide “panel” layouts (one row per country-year) for common indicator bundles such as GDP, inflation, unemployment, and current account balance, alongside demographic measures such as total population, population growth, median age, and life expectancy, and investment-related measures such as government education expenditure, current health expenditure, foreign direct investment, and gross fixed capital formation. The dataset is intended for coursework scenarios including SQL querying, integrity constraint design, ETL from CSV, and documentation of data lineage. Users should verify indicator definitions against the original provider documentation before drawing substantive scientific conclusions, because revisions to official series and boundary changes can affect historical values. All intellectual property rights in the underlying statistics remain with their respective publishers; this deposit documents the transformation and organization applied to create a reproducible, normalized derivative suited to database systems coursework.

The document includes all zircon U-Pb ages, zircon U/Th-He ages, apatite fission track ages, and U/Th-He ages from the Beishan samples tested in this study.

This data presents financial and governance data from Saudi companies prepared in accordance with International Financial Reporting Standards (IFRS). The dataset includes key corporate governance variables (CG1, CG2, and CGaggr) used to test firm performance and macroeconomic hypotheses across multiple analytical models.

The dataset presents survey data on citizens’ perceptions, awareness, and adoption of artificial intelligence (AI) in health care–seeking behavior in Bangladesh. It includes responses collected from citizens, Doctor, Nurses and regarding their familiarity with AI-based health services, attitudes toward the use of AI in medical consultation and diagnosis, perceived benefits and risks, and their willingness to adopt AI-supported health technologies. The dataset also contains basic socio-demographic variables such as age, gender, education level, occupation, and place of residence, enabling analysis of how different social groups perceive and use AI in health-related decision-making. This dataset can support research on digital health adoption, public perception of emerging technologies, and the potential role of AI in improving access to health services in developing countries like Bangladesh.

Transcrições anonimizadas referentes à dissertação.

Strain sweep to determine the linear viscoelastic region of yogurts.

The dataset includes fixed-bed column, isotherm, and kinetic adsorption data for paracetamol removal using a magnetic hybrid nanocomposite.