dataesr/scientific-paragraphs-categorization huggingface dataset:
Under these conditions, the research is complemented by a physical onsite inspection of the members, thereby identifying their damage and the construction pathologies produced around the housing of Tuxtla Gutiérrez, based on the methodology proposed by  (Sánchez-Trujillo et al. , 2019). The data collection format for structural assessment issued by the Mexican National Civil Protection System and National Center for Prevention of Disasters  (CENAPRED, 2011)  was used for collecting the information. However, a further paragraph was attached thereto, in order to increase the number of characteristics for the housing roof typology, both in mezzanines and rooftops. A random evaluation of 173 housing belonging to 36 different residential ensembles, including residential developments, apartments, duplex and condominiums, was carried out in different cardinal quadrants of the city.
ABSTRACT Judo is a high static and low dynamic sport, with a high risk of bodily and injury collision. The objective of this work is to determine the incidence of injury and to compare the different risk factors that may be involved. A total of 86 judokas from the Spanish National Judo Team (ENJE) were studied during two Olympic periods: Beijing-Rio. 2028 injuries occurred more frequently in the lower limb, without significant differences by sex. A higher incidence was observed in tori judoka and during training. No existing work has examined these parameters. The present study provides data that can be used to reduce the risk of injury in elite judokas.
Results We measured 584 YFT, representing a catch of 25. 5 t. The total length L values varied from 73. 0 to 228. 0 cm, and the mean (±SD) was 153. 0 ± 23. 5 cm (Fig. 1a ). The W values ranged from 5. 8 to 128. 0 kg, and the mean was 43. 7 ± 19. 4 kg (Fig. 1b ). The length-weight relationship (Equation  1 ) fit the data well. The 95% confidence interval for b was (2. 88, 2. 96). A t-test (h 0 : b = 3) suggested that YFT could exhibit negative allometric growth. The 95% confidence interval for a was (1. 43 × 10 -5 , 2. 14 × 10 -5 ) (Fig. 2a , Table  1 ). The asymptotic selectivity model fit the observed data well (Fig. 2b ). The shape parameters were a = -7. 660 ± 1. 370 (standard error) and b = 0. 057 ± 0. 005, and the asymmetry parameter was δ = 0. 488 ± 0. 230. The correlation coefficient between the observed and the estimated selectivity was 0.
Discussion The YFT exploitation started in 2013, so it presents a rare opportunity to establish a management plan for the fishery in its predevelopment phase. Some key calculations depend on data gathered during this phase, such as potential yields, age structure, size structure, and the natural mortality, which can be measured only in this phase  (Hilborn and Walters 1992). The tuna longline fishery status can be assessed when compared with the purse seine fishery. The purse-seine catches fluctuated between 10,000 and 25,000 t per year from 1988 to 1997  (Trigueros-Salmerón 2003). The longline tuna average landing was 66. 3 t (2015-2017), representing a small percentage of the purse seine catch. parámetro b para determinar el tipo de crecimiento usando la prueba t de una vía. Para estimar la selectividad, utilizamos la curva de selectividad logística  (Millar y Fryer 1999) : S(L) = 1 + e a+ bL Q V e a+ bL Q V T Y 1/d , (2) donde S(L) es la probabilidad de retención de AAA con L; a y b son parámetros de forma, de modo que la probabilidad de retención del 50% alcanza la longitud -a/b; y δ es un parámetro de asimetría.
DATA The data used to carry out this study were obtained from The Survey of Adult Skills implemented by the OECD as part of the Programme for the International Assessment of Adult Competencies (PIAAC). In its first round, this survey collected information from the working-age population (16 to 64) in 33 countries. The first round of this survey was taken by 166,000 adults between 2011 and 2012 1  and 50,000 in a second round between 2014 and 2015 2. This survey provides information on individuals' skill levels, evaluated through tests of numeracy skills, literacy, and problem solving 3. It also allows controlling participants' social background, work history, and educational level, among other factors. This makes it a very useful tool for studying labour market dynamics from an international point of view, taking into detailed account each person's skills in terms of literacy, numeracy reasoning, and problem solving 4.
To undertake this research, data from European Union countries were used. Since not all countries were sampled in the same round of data collection, we have included data from the second round compiled in Greece, Lithuania, and Slovenia. Given that a mere three years passed between the first and second rounds of data collection, it did not seem that the short-term elements would have much impact on the variables of interest, given the labour market structure in each country. In addition, considering the objective of this study, the sample was restricted to individuals who were working at the time the survey was conducted. Those who received education abroad were also eliminated, since their situation can lead to errors in interpreting overeducation. Thus, the sample we worked with decreased from 121,354 to 61,993 individuals.
EXPLANATORY AND CONTROL VARIABLES In order to record individuals' social backgrounds, we used two binomial variables to indicate whether either parent has a higher education degree. Capsada-Munsech (2015) uses these measures to control for the social and cultural capital of a sample of Italian citizens; however, in her work this variable was accurate at the time when the individuals in the sample were 14 years old. Other research uses the parents' job to indicate the social background of individuals. However, in this case, this option was not possible given the database we used. In addition, using the parents' educational level can provide information about the family's cultural level, which is important in this study. These two indicators reflect individuals' cultural capital by reproducing their parents' educational level, as previously explained.
AgRAdecImIentos Los autores agradecen al equipo del Santuario Puerto Arista, en especial a Luis Arturo Álvarez Márquez (coordinador operativo) y a Luis Miguel Vázquez Ocaña (voluntario del santuario y autor de las fotos) por las facilidades otorgadas. Al Club Rotario Tuxtla, en especial a Carlos y José Posada quienes extendieron la invitación para las actividades de estudio ahí realizadas y el traslado a la costa. Así como a Minerva Cordero Núñez y Francisco Manuel López Castillejos por todo su apoyo incondicional.
Agradecimientos Los autores son financiados por los siguientes proyectos. El estudio es financiado por 1) el Proyecto multicéntrico del Ministerio de Innovación de República Checa número FW03010472 titulado Estudio de la eficacia de vacunas experimentales frente a SARS-CoV-2 en modelos animales (JBDS), 2) por el Programa de Fondos Estructurales y Operativos de Inversión Investigación de la Comunidad Europea titulada: Enfoque molecular, celular y clínico del envejecimiento saludable, subvención ENOCH; Número de registro: CZ. 02. 1. 01/0. 0/0. 0/16_019/0000868 (JBDS), 3) Programa EXCELES, Proyecto No. LX22NPO5103 del Instituto Nacional de Bacteriología y Virología de la República Checa (JVG, JBDS), 4) Proyecto Financiado por el FONACIT actas números 20, 21 y 23 de 2020, otorgado al Instituto de Inmunología de la Universidad Central de Venezuela (AG).
AGRADECIMIENTOS Este trabajo se realizó con fondos procedentes de proyectos del CONICET, la Agencia Nacional de Promoción Científica y Técnica, la Universidad Nacional de Cuyo y la National Geographic Foundation (HJ-136R-17). Se expresa un agradecimiento especial a los pobladores y a la Cámara de Turismo y Comercio de Las Cuevas y a la Dirección de Turismo de la Municipalidad de Las Heras. NOTAS.
Fuente: elaboración propia a partir de datos extraídos de The Conference Board, Total Economy Database (2021). el bloque de la Organización para la Cooperación y el Desarrollo Económicos (ocde). No obstante, esta similitud entraña, como bien sabemos, una historia diametralmente opuesta. La ocde incluye mayoritariamente aquellas economías de Europa Occidental donde precisamente surgieron las técnicas capitalistas de producción a partir de la Revolución industrial, y que por más de 200 años sostuvieron acelerados incrementos de productividad y niveles de ingreso medio. El retroceso que exhiben desde 1990 se explica por pérdidas de dinamismo productivo y tecnológico frente al exponencial avance que han mostrado los Estados Unidos y las economías asiáticas des arrolladas. La "U" invertida que describe la trayectoria de la ocde no es un resultado de retorno a la condición periférica, pero la de América Latina es una historia de agudización de esta condición.
Agradecimientos Una parte significativa de este libro se basa en los resultados de las tesis doctorales de Carolina Yacamán Ochoa y de Esther Sanz Sanz. La primera fue financiada por Heliconia S. Coop. Mad y contó también con el apoyo del Proyecto i+d+i CSO2012-39564-C07-03, titulado «Paisajes patrimoniales de la España interior centro-meridional». La segunda fue financiada por la Agence National de la Recherche de Francia mediante una Convención Industrial de formación para la investigación (cifre n. °2012/0608) entre la Agence Paysages y la unidad de investigación Ecodéveloppement del inra. Las autoras quieren agradecer la confianza, apoyo y asesoramiento de su director de tesis, Rafael Mata Olmo, del Dpto. de Geografía de la Universidad Autónoma de  Madrid (uam) , coautor también de esta obra.
La metodología adopta la escala y el enfoque del paisaje, y tiene la ventaja de su uso fácil y aplicabilidad, porque está apoyada fundamentalmente en información disponible o descargable de visores cartográficos de las administraciones públicas, tratable con sistemas de información geográfica. La modelización de los elementos territoriales y paisajísticos explotados permite evaluar, desde un enfoque sistémico del territorio, la conectividad entre los diferentes espacios naturales protegidos del ámbito de estudio, y su funcionalidad territorial a partir de la evaluación de los servicios ecosistémicos de los diferentes paisajes que componen la matriz territorial a escalas intermedias. El primer paso consiste en recopilar la información descargable en formato vectorial (shp y geodatabase de ArcGis) y con formato ráster desde el Geoportal de Infraestructura de Datos Espaciales de la Comunidad de Madrid y entidades públicas (mapam, cnig, uam), que sirven de base para la elaboración de la iv (nodos y conectores).
La primera fase de la modelización consistió en extraer toda la información útil de la clasificación de los tres municipios objeto de estudio y compararla con los datos disponibles a escala regional. El principal obstáculo fue la calidad de la información, solo disponible agregada a escala municipal. Por consiguiente, explotamos el censo agrario de 2009, que contiene información sobre las explotaciones y el uso de la tierra (detalle de cultivos, pastos permanentes y otras tierras), además de algunas bases de datos obtenidas mediante sig (Modelo digital del terreno y Global Land Cover Dataset sobre la ocupación del suelo). La tabla 14 contiene la descripción y estadísticas de las 11 variables explicativas usadas en la especificación del modelo. Puesto que los datos están agregados a escala municipal, se tuvo que re-escalar y normalizar la presencia y el área ocupada por cada usapu para obtener un vector (yA,.
Agradecimientos Expresamos nuestro agradecimiento a los profesionales del Imarpe (Laboratorio de Fitoplancton y Producción Primaria y del Laboratorio de Modelado Oceanográfico, Ecosistémico y de Cambio Climático), y al Director General de Investigaciones en Oceanografía y Cambio Climático, Dr. Dimitri Gutiérrez, quienes colaboraron en la presente publicación con sus valiosos comentarios y revisiones. Esta publicación fue realizada con el apoyo del JEAI "EMACEP" (Ecología Marina Cuantitativa del Ecosistema de Afloramiento Peruano)" de IMARPE-IRD. A. Bernales reconoce el apoyo financiero del Proyecto Concytec -Banco Mundial "Caracterización y pronóstico de eventos extremos en el mar peruano usando un sistema operacional de información oceánica", a través de su unidad ejecutora el Fondo Nacional de Desarrollo Científico, Tecnológico y de Innovación Tecnológica (Fondecyt).
Acknowledgments We would like to thank the  IMARPE staff (Phytoplankton and Primary Production Laboratory and the Oceanographic, Ecosystem, and Climate Change Modeling Laboratory) , and the  General Director of Oceanography and Climate Change Research ,  Dr. Dimitri Gutiérrez , who collaborated on this publication with their valuable comments and revisions. This work was carried out with the support of the  JEAI "EMACEP (Ecología Marina Cuantitativa del Ecosistema de Afloramiento Peruano in Spanish)" of IMARPE-IRD. A. Bernales acknowledges the financial support of the  Concytec -World Bank Project  " Characterization  and forecasting of extreme events in the Peruvian sea using an operational ocean information system", through its executing unit, the  National Fund for Scientific, Technological Development and Technological Innovation (Fondecyt in Spanish).
Agradecimientos Revista Mexicana de Ciencias Forestales Vol. 13 (74) Noviembre -Diciembre (2022) 114 Al Colegio de Postgraduados por facilitar los recursos necesarios para realizar esta investigación, y al Consejo Nacional de Ciencia y Tecnología (Conacyt) por la beca otorgada para estudios de Maestría en Ciencias de Rodolfo Montiel González.
Agradecimientos Queremos agradecer a las Unidades de Comunicación del Hospital Reina Sofía de Córdoba, Hospital Clínico de Granada, Hospital Virgen del Rocío de Sevilla, Hospital Regional de Málaga y Hospital Torrecárdenas de Almería por hacer posible este estudio a través de la aportación de los datos y el acceso a la realización de las entrevistas.
In this article, we address data visualization as a political artifact in light of the work of the Observatory of Data and Statistics on Gender and Intersectionalities (ODEGI). We show how a feminist approach explores political dimensions in data and turns data visualization into a tool of subversion and resistance against the systems of oppression, in an unequal society like the Chilean. The reflections in this article seek to create dialogue around the question of how data visualization can be transformed into a tool of non-oppression and liberation, from a feminist approach. In line with this, the first part of the article provides a brief contextualization of the political and ethical attributes of data visualization. Then, we reflect on a framework that allows us to understand it as a feminist tool.
Therefore, the argument about developing feminist objectivity explains that all forms of knowledge are situated and correspond to people in specific cultural, political, geographic, and social contexts. We carry out our work through each pillar with a clear vision of using design methodologies as a fundamental tool in each of our projects' approach. The following are examples of our exploratory work and categories of analysis, when visualizing data from an intersectional feminist perspective, through concepts outlined by authors Catherine D'Ignazio and Lauren F. Klein (2020). ODEGI proposes to work on data visualization from an intersectional feminist perspective, to promote transformation in the design and visualization of data, in order to construct a liberating discipline and, consequently, a liberating society.
Lizbeth bravo CataLina rufs DanieLa Moyano Data Visualization for non-oppression anD liberation: a feminist approach DiseñA 21 Aug 2022 Article. 2 8 the production, analysis, and visualization of statistics are not carried out from a critical perspective. At ODEGI, we recognize gender as a critical node in the statistical process, to which insufficient attention has been paid; although significant progress has been made in generating disaggregations by sex. We have identified that this does not permeate all statistics yet, and the diversity of sex and gender are not considered. These differences are not considered in the entire statistical production process, even less so when representing intersectionalities. As a result, existing inequalities are reproduced, amplified, and perpetuated when decision-making is based on data, or when trying to make inequalities visible.
We also add images or other elements that help contextualize the information. In most cases, we use conventional graphics such as bars or captions, and in others, we try to experiment with shapes, always making sure that the data is read correctly. At the same time, the social scientist creates the text that will accompany the data, which facilitates its interpretation, and follows the narrative line present in the image. Finally, the image and the text are shared with all the colleagues, they are modified based on their suggestions, and a journalist adapts the text to make it as understandable and attractive as possible. This process has been possible thanks to several iterations and learnings that we have experienced along the way at ODEGI. There is still little information on feminist data visualization, which has made us constantly question our practices.
Iconography and Images At ODEGI, we are convinced that the iconography used to identify men and women through a binary approach, which has become widespread in different public spaces, reduces complexity and does not allow a diversity of people to be represented through data visualization. This iconography could reinforce the normalization of stereotyped human bodies and experiences, highlighting binarism, a concept that, as told before, is invited to be rethought in the book Data Feminism (2020). In the observatory, we use different strategies that have led us to attempt fighting binarism through images, such as the use of photographs (Figures  2  and 3 ). Photography has helped us represent diverse women. However, we recognize that photographs are not exempt from problems. For example, the lack of representation of women with Latin American features in open image banks.
In addition to this, we do not use re-victimizing images such as weapons, which raises another dilemma: How can we achieve empathy without falling into sensationalism? Can we shock people and raise emotions toward this outrageous reality, while maintaining respect for the victims? How can data contribute to transformation without causing outrage? These questions are constantly part of our daily work, and each case we face finds its own answers. What is crucial is the reflection behind each decision, where these doubts allow us to reach collective answers. At ODEGI, we are interested in providing relevant information for public debate, whilst showing that any issue can be addressed from a feminist perspective. Like all design products, data visualizations inhabit a social and cultural context, and strongly permeate social structures.
conclusions This article shows that the virtues of impartiality and rationality have been historically attributed to data visualization. This has hidden a multiplicity of biases, with the risk of making social inequalities invisible, and reproducing them. Deconstructing and approaching its production and bases -data science and designfrom a critical and feminist perspective, allows us to discover data visualization as a political artifact. Also, it enables us to explore its potential to make the unequal distribution of power visible, represent everyone's voices, question marginalized realities, and contribute to social transformations. At ODEGI, we set ourselves the challenge of contributing to dismantle structural oppressions of patriarchal society through feminist data, which results in our design decisions following this objective.
CALCULADORA DE RIESGO CARDIOVASCULAR DE LA INICIATIVA HEARTS EN LAS AMÉRICAS HEARTS en las Américas transformó las tablas de riesgo de ECV de la OMS publicadas en el 2019 (5) en una calculadora electrónica en línea, mediante la actualización de la aplicación anterior CardioCal 2014  (9). La nueva aplicación se puede descargar de forma gratuita en el sitio web de HEARTS en las Américas (https://www. paho. org/en/hearts-americas/ cardiovascular-risk-calculator-app). Es trilingüe (español, inglés y portugués) y puede utilizarse en dispositivos móviles con software Android o iOS. Aunque el propósito de la aplicación es su utilización en la práctica clínica, en especial en el nivel de atención primaria de salud, también puede ser utilizada por cualquier persona de la población general que esté interesada en conocer su riesgo cardiovascular.
Agradecimiento. Los autores agradecen el apoyo de los miembros del Comité Ejecutivo de EWEC-LAC: Maaike Arts, Emma Margarita Iriarte, Enrique Vega y Francisco Arellano. Contribuciones de los autores. LC, DAC y AS formularon el concepto del artículo y prepararon la versión inicial. Todos los autores contribuyeron con la redacción del manuscrito final y lo aprobaron. Financiamiento. Esta publicación fue posible gracias al apoyo brindado por la Oficina de Desarrollo Sostenible Regional, Oficina para América Latina y el Caribe, Agencia de Estados Unidos para el Desarrollo Internacional. Las opiniones expresadas en esta publicación son las de los autores y no reflejan necesariamente las opiniones de la USAID.
Data Processing We use an adapted version of the HYPO71 location program  (Lee and Lahr 1975)  to locate seismicity. The velocity model is based on borehole log profiles and on knowledge of the geology. A velocity model over the Gardanne area provided values for compressional P-wave velocities (Vp) and shear S-wave velocity (Vs) for different geological layers  (Bertil et al. 1987). We have refined this model, including the ratio of compressional wave velocity to shear wave velocity, Vp/ Vs (Table  2 ) by minimizing the residues on the arrival times of the waves and the root mean square error (RMS) obtained at the locations. Some tests on quarry shots allowed us to check the velocity model and Vp/Vs ratio, and to validate the location results. The significant variations in water saturation of the locally saturated environment at ≈ 0 m ASL depth and oscillations of several meters to tens of meters could also affect this ratio.
Seismicity and Hydrological Considerations As described above, the mine water level often fluctuates. These variations are due to the pumping capacity mainly at (a) the Gerard shaft and effective rainfall. This term "effective" is used because it alone contributes to the reconstitution of aquifers and depends regionally on the type of soil. The data are recorded in Aix-en-Provence. In 2010 (February, May, and especially June), some seismic activity was recorded on the permanent Ineris seismic network in the FG area, although no events had been detected since its installation on  November 1, 2007 (Dünner 2011). Moreover, no event had been felt since the mine closure in 2003. As shown in Fig. 7 , this time coincided with the reaching of the -30 m ASL of the mine water table at the pumping Gerard shaft (Fig.
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