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11,045 results for “women”
The International Women's Tribunal
<p>Twenty years ago, the Women's International War Crimes Tribunal on Japan's Military Sexual Slavery took place in Tokyo, Japan. This documentary commemorates the anniversary by acknowledging the Tribunal as a significant landmark and exploring its legacy. The documentary is a reminder of the collective shame on the part of states that to this day have done little to deliver justice. But it is also a story of when women, confronted by the catastrophic failure on the part of states to secure a gender just peace, took action. It is a model of what is possible when international law is applied through a gender lens and the transformative potential of international law.</p>
Figure 3: Percentages of women in the non-atypical academic workforce in a subset of higher education institutions in the United Kingdom by institutional groupings, 2021
<p>This Zenodo entry includes the full data files (.csv and .xlsx) for Figure 3: <em>Percentages of women in the non-atypical academic workforce in a subset of higher education institutions in the United Kingdom by institutional groupings, 2021</em>', included in the manuscript "The Curtin Open Knowledge Initiative: Sharing data on scholarly research performance", authored by members of the Curtin Open Knowledge Initiative (COKI). The analysis is of publicly available data sourced from the United Kingdom Higher Education Statistics Agency (HESA).</p>
Women on sports boards. GESPORT. Database.
<p>This database has been built by the authors. The data has been collected from the websites of the national federations of Italy, Portugal, Turkey, Spain and the United Kingdom in 2018. This complements the data base 10.5281/zenodo.6598291.</p>
Subtyping of common complex diseases and disorders by integrating heterogeneous data. Identifying clusters among women with lower urinary tract symptoms in the LURN study
<p>We present a methodology for subtyping of persons with a common clinical symptom complex by integrating heterogeneous continuous and categorical data. We illustrate it by clustering women with lower urinary tract symptoms (LUTS), who represent a heterogeneous cohort with overlapping symptoms and multifactorial etiology. Data collected in the Symptoms of Lower Urinary Tract Dysfunction Research Network (LURN), a multi-center observational study, included self-reported urinary and non-urinary symptoms, bladder diaries, and physical examination data for 545 women. Heterogeneity in these multidimensional data required thorough and non-trivial preprocessing, including scaling by controls and weighting to mitigate data redundancy, while the various data types (continuous and categorical) required novel methodology using a weighted Tanimoto indices approach. Data domains only available on a subset of the cohort were integrated using a semi-supervised clustering approach. Novel contrast criterion for determination of the optimal number of clusters in consensus clustering was introduced and compared with existing criteria. Distinctiveness of the clusters was confirmed by using multiple criteria for cluster quality, and by testing for significantly different variables in pairwise comparisons of the clusters. Cluster dynamics were explored by analyzing longitudinal data at 3- and 12-month follow-up. Five clusters of women with LUTS were identified using the developed methodology. None of the clusters could be characterized by a single symptom, but rather by a distinct combination of symptoms with various levels of severity. Targeted proteomics of serum samples demonstrated that differentially abundant proteins and affected pathways are different across the clusters. The clinical relevance of the identified clusters is discussed and compared with the current conventional approaches to the evaluation of LUTS patients. The rationale and thought process are described for the selection of procedures for data preprocessing, clustering, and cluster evaluation. Suggestions are provided for minimum reporting requirements in publications utilizing clustering methodology with multiple heterogeneous data domains.</p>
Classification of unstructured text in types of violence against women using text mining and Machine learning techniques
<p>These are the data used for the development of the investigation.</p> <p>This file was extracted from our mongoDB database. The data set contains real news of violence against women, which were organized with their date, the title and the body of the news.</p>
A topic modelling application for violence against the women through text mining techniques
<p>This research was focused on a social problem that affects worldwide. Violence Against Women (VAW) and girls occurs in many forms with different levels of aggressiveness. There is a wide amount of data on the internet about real cases of VAW that can be gathered for further study. Many researchers have done studies on structured data sets which facilitates their manipulation and understanding. But in this work digital news (data source large non-structured text) was used.</p> <p>These are the data used for the development of the investigation.This file was extracted from our mongoDB database. The data set contains real news of violence against women, which were organized with their date, the title and the body of the news.</p>
Gesport_Women on sports boards in NSFs of five countries: Italy, Portugal, Spain, Turkey and the United Kingdom
<p>This database has been built by the authors with the support of the Erasmus+ programme of the European Union under Grant number 590521-EPP-1-2017-1-ES-SPO-SC.</p> <p>The data has been collected from the websites of the national federations of Italy, Portugal, Turkey, Spain, and the United Kingdom in 2018 and in 2022.</p>
The Relationship between LRP5 (rs556442 and rs638051) Polymorphisms and Mutation with Bone Metabolism in Xinjiang women with Type 2 Diabetes after Menopause(Table 1 and Table 2 Statistical Values of Analysis Process)
<p>The Relationship between LRP5 (rs556442 and rs638051) Polymorphisms and Mutation with Bone Metabolism in Xinjiang women with Type 2 Diabetes after Menopause(Table 1 and Table 2 Statistical Values of Analysis Process)</p>
Dataset: Aspira Women's Health Inc. (AWH) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Film on "Community" and "Women Power" exhibitions
<p>A film accompanying the exhibitions at the National Museum in Szczecin: "Community" and "Woman Power" (22 November 2021 – 16 January 2022) carried out as part of the DUOS Festival, which took place in Kilifi, Kenya (August/September, 2021). Organized by the Academy of Art in Szczecin and the National Museum in Szczecin as a part of the Transcultural Perspectives in Art and Art Education (TPAAE) project.</p>
Trailer on "Community" and "Women Power" exhibitions
<p>A trailer accompanying the exhibitions at the National Museum in Szczecin: "Community" and "Woman Paower" (22 November 2021 – 16 January 2022) carried out as part of the DUOS Festival, which took place in Kilifi, Kenya (August/September, 2021). Organized by the Academy of Art in Szczecin and the National Museum in Szczecin as a part of the Transcultural Perspectives in Art and Art Education (TPAAE) project.</p>
Fig. 5 in Child prodigy, pioneer scientist, and women and civil rights advocate: Dr. Margaret James Strickland Collins (1922-1996)
Fig. 5. Soldier termite of the Antillean (Isoptera: Nasutitermitinae), Parvitermes collinsae. This termite is native to the West Indies and was named in honor of Margaret Collins (Scheffrahn & Roisin 1995). Photo provided by Rudolf Scheffrahn.
Fig. 3. Margaret Collins wearing her field-collecting equipment during her 1993 in Child prodigy, pioneer scientist, and women and civil rights advocate: Dr. Margaret James Strickland Collins (1922-1996)
Fig. 3. Margaret Collins wearing her field-collecting equipment during her 1993 expedition to Guana Island, British Virgin Islands. Photo provided by Barbara Thorne.
Fig. 4 in Child prodigy, pioneer scientist, and women and civil rights advocate: Dr. Margaret James Strickland Collins (1922-1996)
Fig. 4. From lef to right, grandson Herbert Louis Collins, III, and Margaret Collins dissecting a termite nest at the National Museum of Natural History, Smithsonian Institution, Washington, District of Columbia, circa 1996. Photo provided by Herbert and Veronica Collins.
Fig. 2 in Child prodigy, pioneer scientist, and women and civil rights advocate: Dr. Margaret James Strickland Collins (1922-1996)
Fig. 2. Margaret Collins outside the National Museum of Natural History, Smithsonian Institution, Washington, District of Columbia, circa 1991. Photo provided by Herbert and Veronica Collins.
Fig. 1 in Child prodigy, pioneer scientist, and women and civil rights advocate: Dr. Margaret James Strickland Collins (1922-1996)
Fig. 1. American Association for the Advancement of Sciences news story that featured Margaret S. Collins as a young faculty member at the Florida A&M University, circa 1951. Image provided by Herbert and Veronica Collins.
Economic Factors Influencing the Empowerment of Peruvian Women
<p><strong><span>Objective:</span></strong><span> To determine whether economic factors are crucial in empowering women, guiding them towards growth and development opportunities, achieving empowerment, and contributing to two sustainable development goals of the 2030 development agenda: ending poverty and achieving gender equality.</span></p> <p><strong><span>Methodology:</span></strong><span> The research was foundational, with a phenomenological and hermeneutic design. The applied technique was in-depth interviews with 12 women who had started a business within the last five years in a region of Peru.</span></p> <p><strong><span>Results:</span></strong><span> It is evident that economic factors are decisive in business experiences and decisions, highlighting the necessity of having contingency funds to prevent operational impacts. Through entrepreneurship, women achieved economic independence, enabling them to support their families and impacting their empowerment. It concludes that to promote economic opportunity equality, addressing financing needs, encouraging economic independence, strengthening family empowerment, improving customer management, and facilitating access to government funds are essential.</span></p> <p><strong><span>Conclusions:</span></strong><span> The narrative of the participants provides a solid foundation for designing specific policies and support programs that boost the economic empowerment of women entrepreneurs and encourage their active participation in the business sphere</span><span>.</span></p> <p><strong><span>Palabras clave:</span></strong><span> Women's Empowerment; Financial Capacity; Legal Framework; Economic Independence; Potential Customers; Access to Financing.</span></p>
BRAIN Journal-Automatic Anthropometric System Development Using Machine Learning-Figure7. Model 3D of women body.
<p>In two cases, using the SVM classifier and Random Forest with trees 100, 200, 300, 400, 500 datasets before and after optimization commented as follows: the running time of Random Forest is greater comparing with SVM, because more trees are generated, many cases will be considered. In particular, increasing the number of trees, while labeling is long, but Random Forest provides higher accuracy SVM. Based on anthropometric features and machine learning algorithms, we have built an Android app in the smartphone environment. This app can automatically extrac tanthropometric features (12 features). The user must stand in front of the smartphone camera and takes 2 pictures. Then input their height (centimeters) for calibration. The application automatically extracts human parameters to enable adequate 3D models reconstruction. The results of the Android application are demonstrated in figure 7 .</p>
IL-6 and TNF-α salivary levels according to the periodontal status in pregnant Portuguese women
<p>The aim of this study was to evaluate the expression levels of interleukin-6 (IL-6), and tumor necrosis factor-alpha (TNF-α) in pregnant women with different periodontal status at Garcia de Orta Hospital (Almada, Portugal).</p>
Visual Abstract for "Incongruent Humour, Advertising Effectiveness and Women: An Experiment On Facebook"
<p>Visual Abstract for "Incongruent Humour, Advertising Effectiveness and Women: An Experiment On Facebook".</p> <p>Ribeiro, L., Petroll, M., Scussel, F., & Damacena, C. (2018). Incongruent Humour, Advertising Effectiveness and Women: An Experiment On Facebook. <em>Revista de Administração Contemporânea, 23</em>(1), 1-22. doi:<a href="https://doi.org/10.1590/1982-7849rac2019180034">https://doi.org/10.1590/1982-7849rac2019180034</a></p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.