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This research article examines key theoretical methodological problems in identifying folkloric chronotopes in literature. It proposes genetic, structural, and semantic criteria for distinguishing fol…

This research article examines key theoretical methodological problems in identifying folkloric chronotopes in literature. It proposes genetic, structural, and semantic criteria for distinguishing folkloric patterns from other literary chronotopes. Roads, thresholds, otherworldly settings, and trials are interpreted through narrative functions. Examples from Alisher Navoi and Uzbek prose illustrate authors’ distinctive transformations of traditional models. The study argues that folkloric chronotopes should be examined as poetic structures rather than isolated motifs.

This dataset provides processed data and R/Python code for reproducing the analyses, figures and supplementary tables of the revised manuscript "Wet-Year Precipitation Anomalies and Geohazard Economic…

This dataset provides processed data and R/Python code for reproducing the analyses, figures and supplementary tables of the revised manuscript "Wet-Year Precipitation Anomalies and Geohazard Economic Losses in China: A Province-Year Sensitivity and Climate-Exposure Assessment" (IJDRR-D-26-01970). Version 3.1.0 contains IJDRR_processed_reproduction_v3.zip. The main model and the annual GPCC benchmark in Supplementary Table S4 use the same stored precipitation predictor, outcome and 620 province-year observations. Refitting gives a coefficient of 0.758437676133168. Monthly, seasonal and daily-derived indicators follow their documented definitions. Table S3 reports the main-model increment in millimetres separately from descriptive precipitation variability. Start with README.md for installation and execution. The complete calculation entry point is code/run_all.py; code/run_figures.py generates the figures. TABLE_MAP.csv links supplementary tables to the corresponding calculation modules and numerical outputs. README_DATA.md and the data dictionaries explain variables and units. Focused numerical verification covers the main model, 134 comparison specifications and physical-scale calculations, with independent checks of coefficients, covariance estimates and multiple-testing adjustments. A separate matched-product execution check uses 19 draws. See validation/README.md for the verification scope. The focused entry point is code/run_R2_6_update.py.

As generative AI moves rapidly from experimentation into day-to-day deployment across government, industry, and research sectors, both its areas of application and its consumption of resources are gro…

As generative AI moves rapidly from experimentation into day-to-day deployment across government, industry, and research sectors, both its areas of application and its consumption of resources are growing. This invited panel at the 2026 Join Statistical Meetingsbrought together experts in statistics and computer science to discuss practical strategies for environmental and cost sustainability of AI systems while continuing to address impactful societal solutions without sacrificing performance or productivity. Panelists explored the unique role statistical practitioners can play in guiding model selection, evaluation, and deployment choices; present governance frameworks for sustainable practices for optimizing resources; and discuss sustainability education. Panelists included Interim Head, Computer Science and Engineering Dept Mahmut Kandemir (Penn State), working with the Institute for Computational and Data Sciences (ICDS); Prof. Cynthia Rudin, Distinguished Professor and PI, Interpretable Machine Learning Lab (Duke University); Dr. Steve Sain, Senior Director, Geospatial and Data Sciences (Jupiter Intelligence); and Dr. Lyndsay Shand, Sandia National Laboratories. Liz Mannshardt, Vice President and Director of Statistics and Data Science, Westat served as Moderator. Panelists highlighted current research and implementation efforts in model dispatching and domain-specific model development (e.g., lightweight or fine-tuned models for areas like health care), human-interpretable machine learning for simpler models and practical code for sparse models; implementing sustainable systems, and sustainable data-engineering practices such as structured metadata. By highlighting concrete, actionable options already available to organizations, identifying best practices, and describing proper governance frameworks, this session aimed to help statistical practitioners and data science leaders make more environmentally and financially responsible decisions in developing and operationalizing AI tools. 

A large dataset of real-world R scripts used by the flowR ecosystem for testing and benchmarking. This dataset contains partially annotated scripts, please consult the main README for more inform…

A large dataset of real-world R scripts used by the flowR ecosystem for testing and benchmarking. This dataset contains partially annotated scripts, please consult the main README for more information!

El artículo tiene el propósito de dar cuenta de las consecuencias que la educación digital conllevó durante su ejecución en América Latina por la contingencia…

El artículo tiene el propósito de dar cuenta de las consecuencias que la educación digital conllevó durante su ejecución en América Latina por la contingencia sanitaria del COVID-19. Para su desarrollo se llevó a cabo una revisión documental bajo la postura hermenéutica con una representación reflexiva, sobre la progresión y conflictos que se erigieron en América Latina. Los resultados que se obtienen dejan entrever el retroceso social y económico existente previo a la pandemia que da cuenta de una asimetría en materia de desarrollo económico, entre las naciones como dentro de los propios países. Donde esta se acentúo durante la crisis sanitaria y particularmente en el ámbito de la educación, particularmente al transitar a una educación poco estructurada de orden digital, que determinó una mayor carencia de oportunidades para millones de personas, que verán trastocadas sus cursos de vida. Mostrar esto se torna relevante en los momentos actuales por los vertiginosos cambios que se suscitan en materia de educación y donde existe un pasivo educativo que aún no se resuelve. 

Bazalt mineral issiqlik izolyatsion materiallari ishlab chiqarishda hosil bo‘ladigan koks xokasini ikkilamchi yoqilg‘i sifatida qayta ishlatish masalasi ko‘rib chiqilgan. Ishning maq…

Bazalt mineral issiqlik izolyatsion materiallari ishlab chiqarishda hosil bo‘ladigan koks xokasini ikkilamchi yoqilg‘i sifatida qayta ishlatish masalasi ko‘rib chiqilgan. Ishning maqsadi fenolformaldegid smolasi bilan briketlashning texnologik asoslarini va iqtisodiy baholash mezonlarini belgilashdir. Dastlabki xomashyo tavsiflari, ilmiy adabiyotlar tahlili va moddiy hamda energetik hisoblash yondashuvlari qo‘llanilgan. Briket sifatini bog‘lovchi sarfi, termik ishlov va pech qatlamining gaz o‘tkazuvchanligi bilan birgalikda baholash zarurligi asoslangan. Taklif etilgan yondashuvning sanoat samaradorligi briketlarning mexanik va termik sinovlari hamda vagrankadagi nazorat tajribalaridan keyin aniqlanadi.

This dataset contains joint site frequency spectra and demographic model input files for fastsimcoal2 analyses associated with the manuscript “A cryptic ghost lineage and bedrock shift underlie …

This dataset contains joint site frequency spectra and demographic model input files for fastsimcoal2 analyses associated with the manuscript “A cryptic ghost lineage and bedrock shift underlie the Last Glacial Maximum origin of alpine Cochlearia excelsa” by Nora Walden, Levi Yant, and Marcus A. Koch.The archive fastsimcoal2_input.zip contains two subdirectories: 01_excelsa_origin, containing input files for analyses of the origin of Cochlearia excelsa, and 02_EIS_split, containing input files for analyses of the split within EIS. Files include observed joint site frequency spectra (.obs), demographic model templates (.tpl), and parameter estimation files (.est). A separate README.md describes the file organisation.Detailed methods, model descriptions, software versions, and analysis settings are provided in the associated manuscript and its supplementary material.

Material de estudio de la asignatura Prácticas Profesionales I del Grado en Educación Social de la UNED. Se abordan los fundamentos de la observación socioeducativa y su papel en …

Material de estudio de la asignatura Prácticas Profesionales I del Grado en Educación Social de la UNED. Se abordan los fundamentos de la observación socioeducativa y su papel en la construcción de la mirada profesional del educador y la educadora social. Esta versión incluye los dos primeros bloques, dedicados a la construcción de la mirada profesional y a las técnicas e instrumentos para la observación y el análisis de la realidad socioeducativa. El material se ampliará progresivamente en sucesivas versiones con la incorporación de los restantes bloques del manual.

It contains anonymized coding outputs, validation materials, data and analysis code.