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These are audio recordings taken by an Eclipse Soundscapes (ES) Data Collector during the week of the April 08, 2024 Partial Solar Eclipse.  It was decided to include only raw, unprocessed audio …

These are audio recordings taken by an Eclipse Soundscapes (ES) Data Collector during the week of the April 08, 2024 Partial Solar Eclipse.  It was decided to include only raw, unprocessed audio data files in each site-specific Zenodo record. This decision was so that any researcher can independently verify, reproduce, and extend the analysis performed. As a result, some sites have WAV files with 0 bytes of data or timestamps outside the range of probable recording times. Procedures used by the Eclipse Soundscapes team to process audio data for its purposes are outlined in the Data Management reports located in the Eclipse Soundscapes Zenodo community. Data with 0 bytes of data were included for completeness. When possible, all site-specific files, including the audio files, are included in a zip file for ease of download. If a zip file upload was not possible due to upload or bandwidth limitations, all available audio files are included individually. Data Site location information: Latitude: 38.587155  Longitude:  -84.256807 Local Eclipse Type: Partial Solar Eclipse Eclipse Percent (%): 97.96 WAV files Time & Date Settings: Set with Automated AudioMoth Time Chime (More information on TimeStamp Setting below) Data Collector Start Time Notes: N/A Included Data: Audio files in WAV format with the date and time in UTC within the file name: YYYYMMDD_HHMMSS meaning YearMonthDay_HourMinuteSecondFor example, 20240411_141600.WAV means that this audio file starts on April 11, 2024 at 14:16:00 Coordinated Universal Time (UTC) CONFIG Text file: Includes AudioMoth device setting information, such as sample rate in Hertz (Hz), gain, firmware, etc.  README.md:  Markdown formatted file with information about the recording and recording site. file_list.csv:  A machine and human file that gives the following information on each file in the record: File Name, File Type, Description, File Size in kilobytes, Name of Associated Data Dictionary with the file, calculated SHA-512 Hash of the file as a unique identifier to insure data integrity during transfer and compression. total_eclipse_data.csv:  A machine and human readable file that gives the following information about the site where the audio data recording was taken: ESID#, Latitude, Longitude, Eclipse_type, CoveragePercent, Eclipse Start UTC (1st contact), Totality Start UTC (2nd contact), Totality End UTC (3rd Contact), Eclipse End UTC (4th Contact), Max Eclipse Time UTC License.txt:  A human readable file that explains the terms and conditions under which the data can be used. AudioMoth_Operation_Manual.pdf:  A human readable document that explains the use of an AudioMoth device. The document is current up to the time of the AudioMoth's use in the Eclipse Soundscapes project. file_list_data_dict.csv:  A machine and human data dictionary file that gives information on the variables contained within the file_list.csv file. CONFIG_data_dict.csv:  A machine and human data dictionary file that gives information on the variables contained within the CONFIG.TXT file. eclipse_data_data_dict.csv:  A machine and human data dictionary file that gives information on the variables contained within the total_eclipse_data.csv file. WAV_data_dict.csv:  A machine and human data dictionary file that gives information on the variables contained within the *.WAV files. ES_Data_Management_Pre-Eclipse_Data_Infrastructure_Stage_0.pdf:  PDF document that describes Stage 0 (Pre-Eclipse Infrastructure and Data Stewardship Planning) of the Eclipse Soundscapes (ES) data lifecycle. ES_Data_Management_Receipt_Sorting_and_Metadata_Organization_Stage_1.pdf:  PDF document that describes Stage 1 (Receipt, Sorting, and Metadata Organization) of the Eclipse Soundscapes (ES) data lifecycle. ES_Data_Management_Data_Processing_Stage_2.pdf:  PDF document that describes Stage 2 (Data Processing) of the Eclipse Soundscapes (ES) data Volunteer Scientists. 2023 and 2024 solar eclipse soundscapes audio datalifecycle. ES_Data_Management_Data_Sharing_Stage_3.pdf:  PDF document that describes Stage 3 (Public Data Sharing) of the Eclipse Soundscapes (ES) data lifecycle. Eclipse Information for this location: Eclipse Date: April 08, 2024 Eclipse Start Time (UTC) (1st Contact): 17:51:51 Totality Start Time (UTC) (2nd Contact): [N/A if partial eclipse] N/A Eclipse Maximum Time [when the most possible amount of the Sun in blocked] (UTC): 19:09:38 Totality End Time (UTC) (3rd Contact): [N/A if partial eclipse] N/A Eclipse End Time (UTC) (4th Contact): [N/A if partial eclipse] 20:24:52 Audio Data Collection During Eclipse Week ES Data Collectors used AudioMoth devices to record audio data, known as soundscapes, over a 5-day period during the eclipse week: 2 days before the eclipse, the day of the eclipse, and 2 days after. The complete raw audio data collected by the Data Collector at the location mentioned above is provided here. This data may or may not cover the entire requested timeframe due to factors such as availability, technical issues, or other unforeseen circumstances.  ES ID# Information: Each AudioMoth recording device was assigned a unique Eclipse Soundscapes Identification Number (ES ID#). This identifier connects the audio data, submitted via a MicroSD card, with the latitude and longitude information provided by the data collector through an online form. The ES team used the ES ID# to link the audio data with its corresponding location information and then uploaded this raw audio data and location details to Zenodo. This process ensures the anonymity of the ES Data Collectors while allowing them to easily search for and access their audio data on Zenodo.  TimeStamp Information: The ES team and the Data Collectors took care to set the date and time on the AudioMoth recording devices using an AudioMoth time chime before deployment, ensuring that the recordings would have an automatic timestamp. However, participants also manually noted the date and start time as a backup in case the time chime setup failed. The notes above indicate whether the WAV audio files for this site were timestamped manually or with the automated AudioMoth time chime.   Common Timestamp Error: Some AudioMoth devices experienced a malfunction where the timestamp on audio files reverted to a date in 1970 or before, even after initially recording correctly. Despite this issue, the affected data was still included in this ES site's collected raw audio dataset. Latitude & Longitude Information: The latitude and longitude for each site was taken manually by data collectors and submitted to the ES team, either via a web form or on paper. It is shared in Decimal Degrees format. General Project Information: The Eclipse Soundscapes Project is a NASA Volunteer Science project funded by NASA Science Activation that is studying how eclipses affect life on Earth during the October 14, 2023 annular solar eclipse and the April 8, 2024 total solar eclipse. Eclipse Soundscapes revisits an eclipse study from almost 100 years ago that showed that animals and insects are affected by solar eclipses! Like this study from 100 years ago, ES asked for the public's help. ES uses modern technology to continue to study how solar eclipses affect life on Earth!  Eclipse Soundscapes is an enterprise of ARISA Lab, LLC and is supported by NASA award No. 80NSSC21M0008. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Aeronautics and Space Administration.   Eclipse map/figure/table/predictions courtesy of Fred Espenak, NASA/Goddard Space Flight Center, from eclipse.gsfc.nasa.gov.   Eclipse Data Version Definitions {1st digit = year, 2nd digit = Eclipse type (1=Total Solar Eclipse, 9=Annular Solar Eclipse, 0=Partial Solar Eclipse), 3rd digit is unused and in place for future use} 2023.9.0 = Week of October 14, 2023 Annular Eclipse Audio Data, Path of Annularity (Annular Eclipse) 2023.0.0 = Week of October 14, 2023 Annular Eclipse Audio Data, OFF the Path of Annularity (Partial Eclipse) 2024.1.0 = Week of April 8, 2024 Total Solar Eclipse Audio Data, Path of Totality (Total Solar Eclipse) 2024.0.0 =  Week of April 8, 2024 Total Solar Eclipse Audio Data , OFF the Path of Totality (Partial Solar Eclipse) *Please note that this dataset's version number is listed below. Eclipse Soundscapes Data Collector Role Training and Implementation Resources Manual (2023-2024) (Archival Copy) This site-level record includes the Eclipse Soundscapes Data Collector Role Training and Implementation Resources Manual (2023-2024). The manual documents the participant training, device setup procedures, metadata submission requirements, ES ID system, timestamp protocols, data return workflow, and public archiving processes used during the October 14, 2023 annular solar eclipse and the April 8, 2024 total solar eclipse. The manual is preserved for transparency and reproducibility and reflects the procedures under which this dataset was collected and processed. (DOI 10.5281/zenodo.18623442) Data Receipt, Processing, and Analysis Methods All programs supporting Stages 1–3 are openly available in the: Eclipse Soundscapes GitHub repository: https://github.com/ARISA-Lab-LLC/ESCSP Data Management Lifecycle The following section documents the relationship of this record to the full Eclipse Soundscapes (ES) data lifecycle, a multi-stage workflow designed to support large-scale participatory science, long-term data stewardship, open science, and scientific reuse. Each stage addressed a different operational need, beginning before eclipse deployment and continuing through validation, public archiving, and scientific analysis. Together, these stages transformed distributed volunteer-submitted audio recordings into structured, documented, publicly accessible NASA-funded research assets. Stage 0: Pre-Eclipse Infrastructure and Deployment Preparation Severino, M., & Winter, H. (2026). Eclipse Soundscapes Data Management: Pre-Eclipse Infrastructure and Deployment Preparation (Stage 0). Zenodo. https://doi.org/10.5281/zenodo.20413370 Stage 0 focused on building the operational foundation required to support geographically distributed eclipse data collection at national scale. This stage included AudioMoth device preparation, accessibility modifications, ES ID # assignment systems, metadata collection workflows, participant training materials, deployment logistics, and planning for downstream data stewardship and archival workflows. The 2023 annular eclipse served as both a scientific investigation and a large-scale operational beta test that informed improvements for the 2024 total solar eclipse campaign. Related Citations and Resources: Severino, M., & Kline, T. (2025, November 24). Eclipse Soundscapes Apprentice Role Curriculum: Solar Eclipses and Multi-Sensory Observing (Informal Education). Zenodo. https://doi.org/10.5281/zenodo.17703003 Severino, M., & Bauer, D. J. (2026). Eclipse Soundscapes Observer Role Training and Resources Manual (2023–2024). Zenodo. https://doi.org/10.5281/zenodo.18633602</li> Severino, M., Winter, H., & Bauer, D. J. (2026). Eclipse Soundscapes Data Collector Role Training and Implementation Manual (2023–2024). Zenodo. https://doi.org/10.5281/zenodo.18623443 Stage 1: Receipt, Sorting, and Metadata Organization Severino, M., & Winter, H. (2026). Eclipse Soundscapes Data Management: Receipt, Sorting, and Metadata Organization (Stage 1). Zenodo. https://doi.org/10.5281/zenodo.19471425 Stage 1 transformed returned participant materials into organized, traceable site-level records. This included receiving mailed microSD cards, consolidating participant-submitted metadata, reconciling handwritten and online records, organizing physical audio media by ES ID #, and deriving eclipse timing and coverage information using NASA eclipse prediction datasets. The outputs of Stage 1 established the structured metadata relationships required for downstream validation, processing, archiving, and analysis workflows. Related Citations and Resources: Winter, H., & Goncalves, J. (2026). EPTT (Eclipse Phase Timing Tool) [Computer software]. GitHub. https://github.com/ARISA-Lab-LLC/ESCSP-Eclipse-Phase-Timing-Tool/li> Espenak, F. (n.d.). Eclipse predictions by Fred Espenak, NASA's GSFC Eclipse Web Site. NASA Goddard Space Flight Center. http://eclipse.gsfc.nasa.gov/eclipse.html Stage 2: Data Processing and Validation Severino, M., & Winter, H. (2026). Eclipse Soundscapes Data Management: Data Processing (Stage 2). Zenodo. https://doi.org/10.5281/zenodo.18683402 Stage 2 focused on centralized audio ingestion, validation, timestamp verification, metadata reconciliation, and preparation of datasets for analysis and public sharing. During this stage, returned audio recordings were processed using custom open-source tools developed by the ES team, including ES WAVES and ES AMES. The project implemented scalable infrastructure capable of processing large volumes of participant-submitted microSD cards while preserving all raw audio data without modification. Stage 2 established the validated dataset structure required for long-term preservation and scientific analysis. Related Citations and Resources: Winter, H., & Goncalves, J. (2026). ES WAVES (Eclipse Soundscapes WAV Audio Validation & Extraction Suite) [Computer software]. GitHub. https://github.com/ARISA-Lab-LLC/ESCSP-ES-WAV-Audio-Validation-Extraction-Suite Winter, H., & Goncalves, J. (2026). ES AMES (Eclipse Soundscapes AudioMoth Metadata Extractor Suite) [Computer software]. GitHub. https://github.com/ARISA-Lab-LLC/ESCSP-ES-AMES-AudioMoth-Metadata-Extractor-Suite Stage 3: Public Data Sharing and Open Archiving Severino, M., & Winter, H. (2026). Eclipse Soundscapes Data Management: Public Audio Data Sharing (Stage 3). Zenodo.https://doi.org/10.5281/zenodo.18683437 Stage 3 transformed validated site-level datasets into publicly archived, DOI-assigned research records published through the Eclipse Soundscapes Zenodo Community. This stage included dataset packaging, metadata standardization, README generation, integrity verification, DOI assignment, and automated repository upload workflows using the Automated Zenodo Upload Software (AZUS). These workflows established the project's long-term open-science infrastructure and ensured that datasets remained findable, accessible, interoperable, reusable, and citable for future scientific and educational use. Related Citations and Resources: Winter, H., & Goncalves, J. (2026). AZUS (Automated Zenodo Upload Software) [Computer software]. GitHub. https://github.com/ARISA-Lab-LLC/AZUS-Automated-Zenodo-Upload-Software Stage 4: Scientific Analysis and Research Use Stage 4 involves the scientific analysis and interpretation of validated eclipse soundscape datasets. Analysis workflows utilized datasets verified during earlier stages to investigate eclipse-related environmental and animal vocalization changes across hundreds of recording sites. This stage also includes broader scientific interpretation, publication development, and continued reuse of Eclipse Soundscapes datasets and infrastructure for future research, education, and open-science applications. Related Citations and Resources: Pease, B., Gilbert, N., & Severino, M. (2026). Eclipse Soundscapes Preliminary Findings – How Eclipses Affect Nature as determined by Sound (Recorded Webinar). Zenodo.https://doi.org/10.5281/zenodo.18613979 Gilbert, N. A., Pease, B. S., Severino, M., & Winter, H. III. (2026). Photic niche explains avian behavioral responses to solar eclipses. Ecology and Evolution, 16(2), e73090. https://doi.org/10.1002/ece3.73090 Analysis code repository: https://github.com/BrentPease1/eclipse-traits Companion Zenodo record archiving structured analysis scripts and derived outputs: https://doi.org/10.5281/zenodo.15790879[r] Public Archiving, Privacy, and Data Transparency The Eclipse Soundscapes Data Collector Role Training and Implementation Manual (2023-2024) includes a detailed explanation of how Eclipse Soundscapes audio data are publicly archived on Zenodo, how participant privacy is protected through the ES ID system, and how transparency and traceability are maintained. It also outlines the criteria for determining which recordings are included in the public archive, as well as the distinction between publicly shared archival data and datasets used for ES-led scientific analyses. Participants and data users can consult this section for full documentation of the project's open science and privacy practices. Severino, M., & Winter, H. (2026). Eclipse Soundscapes Data Collector Role Training and Implementation Manual (2023–2024). Zenodo. https://doi.org/10.5281/zenodo.18623443 Citations Individual Site Citation: APA Citation (7th edition) Winter, H., Severino, M., & Volunteer Scientist. (2026). 2024 solar eclipse soundscapes audio data [Audio dataset, ES ID# 276]. Zenodo.{Insert DOI} Collected by volunteer scientists as part of the Eclipse Soundscapes Project. This project is supported by NASA award No. 80NSSC21M0008. Eclipse Community Citation Winter, H., Severino, M., & Volunteer Scientists. 2023 and 2024 solar eclipse soundscapes audio data [Collection of audio datasets]. Eclipse Soundscapes Community, Zenodo. https://zenodo.org/communities/eclipsesoundscapes/ Collected by volunteer scientists as part of the Eclipse Soundscapes Project This project is supported by NASA award No. 80NSSC21M0008.  

The article analyses the novel “Yaldo kechasi” (2025) by Xayriddin Sulton from the standpoint of the theory of intertextuality. The work is examined as an example of intertext through its …

The article analyses the novel “Yaldo kechasi” (2025) by Xayriddin Sulton from the standpoint of the theory of intertextuality. The work is examined as an example of intertext through its hypertextual link with Abdulla Qodiriy’s novel “Oʻtkan kunlar” (“Bygone Days”), the strategy of literary mystification (the found manuscript and false authorship), stylistic imitation, the incorporation of historical documents, letters and poetic texts into the fabric of the novel, and allusions and reminiscences. The study also elucidates the novel’s character system and its interpretation of historical events on the basis of the principle of intertextuality, and substantiates that intertextuality is the leading means in the transformation of historical truth into artistic reality.

Mazkur maqolada 1938–1991-yillar davomida Xorazm viloyati qishloq xo‘jaligining rivojlanish bosqichlari, sovet agrar siyosatining hudud qishloq xo‘jaligiga ta'siri, paxtachilikning u…

Mazkur maqolada 1938–1991-yillar davomida Xorazm viloyati qishloq xo‘jaligining rivojlanish bosqichlari, sovet agrar siyosatining hudud qishloq xo‘jaligiga ta'siri, paxtachilikning ustuvor yo‘nalishga aylanishi, irrigatsiya tizimlarining kengaytirilishi, chorvachilik va bog‘dorchilikning rivojlanishi hamda ushbu davrda yuzaga kelgan ekologik va ijtimoiy-iqtisodiy muammolar tarixiy manbalar asosida tahlil qilingan.

This article examines the role and expressive means of the art of music in elevating the spiritual and psychological realm of human beings and in aesthetic education. It analyzes the social and psycho…

This article examines the role and expressive means of the art of music in elevating the spiritual and psychological realm of human beings and in aesthetic education. It analyzes the social and psychological essence of artistic creation, mechanisms of musical perception, listener culture, and the interconnection between composer and performer skills. Additionally, priority directions of state policy aimed at developing music education and upbringing in our country are addressed. The results of the article hold practical and theoretical significance in the fields of music pedagogy, psychology of art, and cultural studies.

Input and output files for simulations of results in:  "Permeability and microcrack geometry: Dynamic loading induced evolution". Abstract We propose a novel method for modeling permeability evol…

Input and output files for simulations of results in:  "Permeability and microcrack geometry: Dynamic loading induced evolution". Abstract We propose a novel method for modeling permeability evolution in rocks, focusing on dynamic loading conditions. Accurate representation of permeability is essential for extraction and containment applications of fluids within geological strata. Several factors make this representation complex, mainly capturing the permeability response to variable dynamic loading. This difficulty is exacerbated in low-porosity brittle rocks due to their strong sensitivity to pore geometry and connectivity changes. This sensitivity causes drastic permeability and anisotropy alterations. Moreover, material heterogeneity and insufficient permeability measurements under dynamic conditions increase modeling challenges. This work offers a permeability evolution model for high strain-rate accounting for damage via microcracking. Rock voids are represented by an evolving network of cracks. Changes in permeability are described by adjustments of crack geometric microvariables, including aperture, length, and distance. Cracks are idealized as penny-shaped features with prescribed orientations. The network's geometric response to dynamic loading affects void connectivity, fluid conductance, and preferential flow paths. We present a scalar description of permeability; however, future work will include the formulation for vector and tensor-based representations. We analyze how different loading conditions affect permeability through the evolution of crack geometry. The study shows a strong correlation between permeability and crack length, propagation being a key factor. It also demonstrates how permeability increase can be inhibited by poor connectivity and crack closure. The model captures permeability changes of several orders of magnitude and agrees with experimental results on brittle rock at high strain rates. GeoDyn is the code of choice for implementing the new formulation.       Plain Language Summary Permeability describes how easily fluids can move through rock. This property is critical for geothermal energy, leach mining, and underground fluid extraction. In many geological settings, rocks may experience rapid changes of loading conditions during earthquakes, blasting, or rapid excavation. Under these conditions, permeability can change dramatically. Predicting these changes is especially difficult in low-porosity rocks, where flow is controlled by small, isolated cracks. So, even minor changes in crack size, density, or connectivity can strongly affect flow. In this work, permeability is represented by an changing network of cracks. The proposed model describes how microscopic crack opening, length, and distance evolve in response to loading conditions. These geometric changes determine how cracks are connected, how easily fluids traverse the rock, and whether flow has preferred paths. Using our model, we show that crack growth can increase permeability by several orders of magnitude, consistent with laboratory results of brittle rocks under high strain rates. Additionally, we demonstrate that permeability rise can be limited when cracks are not sufficiently connected or when cracks close under compressive stress. We integrate the model into the numerical code GeoDyn to show permeability and porosity evolution over space and time in dynamically loaded rocks.

This record contains the corrected reproducibility archive associated with the theoretical–synthetic study Hydrothermal Memory Kernels for Volcanic Gas and Isotope Signals: Volterra–Spectr…

This record contains the corrected reproducibility archive associated with the theoretical–synthetic study Hydrothermal Memory Kernels for Volcanic Gas and Isotope Signals: Volterra–Spectral Structure and Boundary-Aware Synthetic Comparison. The archive includes Supplementary Codes S1–S8, 51 CSV numerical outputs, 17 vector-PDF figures, Supplementary Note S3 in PDF and LaTeX source form, 36 unit, regression, and cross-artifact tests, an independent pair-level rolling-origin validator, a full validator for all 2,500 archived continuous fits, environment metadata, pinned top-level requirements, Docker and Conda reconstruction recipes, accessible figure descriptions, and SHA-256 manifests. This corrected version replaces the asymmetric rolling-origin tie handling contained in the earlier record. Every paired next-block comparison is assigned to exactly one of three outcomes: Caputo strict win, numerical boundary tie, or tail-tempered strict win. Non-worse rates add ties symmetrically, and uncertainty is computed by resampling simulated records as clusters. The corrected baseline T=30T=30T=30 counts are 209/354/77 under Caputo truth and 159/189/292 under tail-tempered truth. The release also adds origin-specific rolling summaries; a paired common-record AR(1) comparison with 5,000 records per truth–window condition; a full audit of all 2,500 archived continuous fits, including every restart-spread outlier; blocked-prediction distribution summaries with interquartile and 5th–95th percentile ranges, bootstrap intervals for the median, and probabilities below, at, and above unity; and semantic tests covering Sonine integrability, continuous-dependence assumptions, normalization invariance, boundary nesting, figure-caption fidelity, and cross-artifact consistency. The Monte Carlo null calibration remains pointwise and design-specific; it is not a uniform-size test over the composite Caputo family. AICc and BIC are secondary operational rankings. The benchmark compares normalized temporal-response shapes under declared forcing, observation, error, and candidate-domain assumptions. It does not identify physical kernel amplitudes, latent forcing histories, source-to-observation gains, or individual geological compartments. No field-monitoring data or site calibration are included. All data in the archive are synthetic and are generated by the supplied code.

Abstract – The paradigm of cybersecurity is shifting from purely technical defenses to human-centric approaches. While traditional insider threat detection relies on reactive analysis of system …

Abstract – The paradigm of cybersecurity is shifting from purely technical defenses to human-centric approaches. While traditional insider threat detection relies on reactive analysis of system logs, this study proposes a preventive framework by analyzing the root causes of malicious behavior: employee disgruntlement and cognitive fatigue. Utilizing a secondary dataset of 1,000 employee records, we constructed a "Motive-Opportunity" risk model based on psychometric and operational HR metrics. By employing an Ensemble Machine Learning approach (Random Forest), we successfully differentiated high-risk profiles from normal workforce behavior. The model achieved a classification accuracy of 93.6%, with a precision of 1.0 for high-risk identification. The results empirically confirm that low job satisfaction combined with excessive overtime are the strongest predictors of security vulnerability. This study bridges the gap between Human Resources and Information Security, offering a proactive methodology for organizations to mitigate insider threats before digital violations occur.   Keywords – Insider Threat, HR Analytics, Cybersecurity, Machine Learning, Random Forest.

ABSTRACT Women occupy a foundational yet historically underrepresented position within the vast landscape of folklore. Across civilizations, they have served not merely as transmitters of oral traditi…

ABSTRACT Women occupy a foundational yet historically underrepresented position within the vast landscape of folklore. Across civilizations, they have served not merely as transmitters of oral traditions but as creators, interpreters, performers, custodians, and innovators of collective cultural memory. Through lullabies, folktales, myths, legends, ritual songs, marriage songs, work songs, laments, proverbs, riddles, healing practices, food traditions, textile arts, seasonal ceremonies, and everyday oral narratives, women have preserved indigenous knowledge systems that sustain the cultural continuity of communities across generations. However, classical folklore scholarship frequently privileged male performers, heroic narratives, public rituals, and institutional traditions, leaving the rich corpus of women's oral creativity comparatively marginalized. Contemporary folklore studies, influenced by feminist theory, gender studies, anthropology, oral history, cultural studies, and indigenous epistemologies, have substantially transformed this perspective by recognizing women as central agents in the creation and preservation of intangible cultural heritage. This article critically examines women's contributions to folklore through an interdisciplinary framework integrating feminist folkloristics, performance theory, memory studies, indigenous knowledge systems, and cultural anthropology. It argues that women's folklore represents an autonomous intellectual tradition through which communities preserve ecological wisdom, ethical values, social history, emotional resilience, and collective identity. Women's oral traditions emerge not as peripheral cultural expressions but as sophisticated systems of knowledge that negotiate power, identity, resistance, and cultural continuity. The study further demonstrates that recognizing women's folklore significantly broadens contemporary understandings of folklore itself by shifting scholarly attention from textual preservation toward lived experience, embodied performance, domestic knowledge, and everyday cultural creativity. Ultimately, women's voices reveal folklore as a dynamic, evolving, and inclusive archive of human civilization.   Keywords: Women's Folklore, Feminist Folkloristics, Oral Tradition, Indigenous Knowledge, Gender Studies, Cultural Memory, Performance Theory, Oral History, Intangible Cultural Heritage.   Corresponding Author: Santosh Kumar Nayak  

This article scientifically analyzes the pedagogical foundations, modern technologies, and practical significance of developing creativity and aesthetic taste in preschool children through the use of …

This article scientifically analyzes the pedagogical foundations, modern technologies, and practical significance of developing creativity and aesthetic taste in preschool children through the use of natural materials. The study demonstrates that the use of natural materials broadens children's imagination, enhances their creative thinking, aesthetic perception, fine motor skills, and ecological awareness. Furthermore, the structural components of an innovative pedagogical technology based on the use of natural materials in preschool educational institutions were developed. The research findings indicate that the systematic use of natural materials contributes to the development of independent thinking, artistic taste, a responsible attitude toward nature, and creative competencies in preschool children.