Background qualitative analysis of the European reference life cycle database (ELCD) energy datasets - part II: electricity datasets.

Science.gov (United States)

Garraín, Daniel; Fazio, Simone; de la Rúa, Cristina; Recchioni, Marco; Lechón, Yolanda; Mathieux, Fabrice

2015-01-01

The aim of this paper is to identify areas of potential improvement of the European Reference Life Cycle Database (ELCD) electricity datasets. The revision is based on the data quality indicators described by the International Life Cycle Data system (ILCD) Handbook, applied on sectorial basis. These indicators evaluate the technological, geographical and time-related representativeness of the dataset and the appropriateness in terms of completeness, precision and methodology. Results show that ELCD electricity datasets have a very good quality in general terms, nevertheless some findings and recommendations in order to improve the quality of Life-Cycle Inventories have been derived. Moreover, these results ensure the quality of the electricity-related datasets to any LCA practitioner, and provide insights related to the limitations and assumptions underlying in the datasets modelling. Giving this information, the LCA practitioner will be able to decide whether the use of the ELCD electricity datasets is appropriate based on the goal and scope of the analysis to be conducted. The methodological approach would be also useful for dataset developers and reviewers, in order to improve the overall Data Quality Requirements of databases.

The GTZAN dataset

DEFF Research Database (Denmark)

Sturm, Bob L.

2013-01-01

The GTZAN dataset appears in at least 100 published works, and is the most-used public dataset for evaluation in machine listening research for music genre recognition (MGR). Our recent work, however, shows GTZAN has several faults (repetitions, mislabelings, and distortions), which challenge...... of GTZAN, and provide a catalog of its faults. We review how GTZAN has been used in MGR research, and find few indications that its faults have been known and considered. Finally, we rigorously study the effects of its faults on evaluating five different MGR systems. The lesson is not to banish GTZAN...

Editorial: Datasets for Learning Analytics

NARCIS (Netherlands)

Dietze, Stefan; George, Siemens; Davide, Taibi; Drachsler, Hendrik

2018-01-01

The European LinkedUp and LACE (Learning Analytics Community Exchange) project have been responsible for setting up a series of data challenges at the LAK conferences 2013 and 2014 around the LAK dataset. The LAK datasets consists of a rich collection of full text publications in the domain of

The Geometry of Finite Equilibrium Datasets

DEFF Research Database (Denmark)

Balasko, Yves; Tvede, Mich

We investigate the geometry of finite datasets defined by equilibrium prices, income distributions, and total resources. We show that the equilibrium condition imposes no restrictions if total resources are collinear, a property that is robust to small perturbations. We also show that the set...... of equilibrium datasets is pathconnected when the equilibrium condition does impose restrictions on datasets, as for example when total resources are widely non collinear....

Las ondas en las universidades o las universidades en las ondas

Directory of Open Access Journals (Sweden)

Verónica Marín Díaz

2014-01-01

Full Text Available En las aulas y pasillos de las universidades vuelven a sonar las ondas hercianas que raen una variedad de programas a la anodina vida de la comunidad universitaria, inmersa en la implantación de títulos de Grado, nuevos programas de doctorado, legislación universitaria variable y un largo etcétera que afecta al devenir de la vida en el ámbito de la educación superior.

An Annotated Dataset of 14 Meat Images

DEFF Research Database (Denmark)

Stegmann, Mikkel Bille

2002-01-01

This note describes a dataset consisting of 14 annotated images of meat. Points of correspondence are placed on each image. As such, the dataset can be readily used for building statistical models of shape. Further, format specifications and terms of use are given.......This note describes a dataset consisting of 14 annotated images of meat. Points of correspondence are placed on each image. As such, the dataset can be readily used for building statistical models of shape. Further, format specifications and terms of use are given....

Comparison of recent SnIa datasets

International Nuclear Information System (INIS)

Sanchez, J.C. Bueno; Perivolaropoulos, L.; Nesseris, S.

2009-01-01

We rank the six latest Type Ia supernova (SnIa) datasets (Constitution (C), Union (U), ESSENCE (Davis) (E), Gold06 (G), SNLS 1yr (S) and SDSS-II (D)) in the context of the Chevalier-Polarski-Linder (CPL) parametrization w(a) = w 0 +w 1 (1−a), according to their Figure of Merit (FoM), their consistency with the cosmological constant (ΛCDM), their consistency with standard rulers (Cosmic Microwave Background (CMB) and Baryon Acoustic Oscillations (BAO)) and their mutual consistency. We find a significant improvement of the FoM (defined as the inverse area of the 95.4% parameter contour) with the number of SnIa of these datasets ((C) highest FoM, (U), (G), (D), (E), (S) lowest FoM). Standard rulers (CMB+BAO) have a better FoM by about a factor of 3, compared to the highest FoM SnIa dataset (C). We also find that the ranking sequence based on consistency with ΛCDM is identical with the corresponding ranking based on consistency with standard rulers ((S) most consistent, (D), (C), (E), (U), (G) least consistent). The ranking sequence of the datasets however changes when we consider the consistency with an expansion history corresponding to evolving dark energy (w 0 ,w 1 ) = (−1.4,2) crossing the phantom divide line w = −1 (it is practically reversed to (G), (U), (E), (S), (D), (C)). The SALT2 and MLCS2k2 fitters are also compared and some peculiar features of the SDSS-II dataset when standardized with the MLCS2k2 fitter are pointed out. Finally, we construct a statistic to estimate the internal consistency of a collection of SnIa datasets. We find that even though there is good consistency among most samples taken from the above datasets, this consistency decreases significantly when the Gold06 (G) dataset is included in the sample

SIMADL: Simulated Activities of Daily Living Dataset

Directory of Open Access Journals (Sweden)

Talal Alshammari

2018-04-01

Full Text Available With the realisation of the Internet of Things (IoT paradigm, the analysis of the Activities of Daily Living (ADLs, in a smart home environment, is becoming an active research domain. The existence of representative datasets is a key requirement to advance the research in smart home design. Such datasets are an integral part of the visualisation of new smart home concepts as well as the validation and evaluation of emerging machine learning models. Machine learning techniques that can learn ADLs from sensor readings are used to classify, predict and detect anomalous patterns. Such techniques require data that represent relevant smart home scenarios, for training, testing and validation. However, the development of such machine learning techniques is limited by the lack of real smart home datasets, due to the excessive cost of building real smart homes. This paper provides two datasets for classification and anomaly detection. The datasets are generated using OpenSHS, (Open Smart Home Simulator, which is a simulation software for dataset generation. OpenSHS records the daily activities of a participant within a virtual environment. Seven participants simulated their ADLs for different contexts, e.g., weekdays, weekends, mornings and evenings. Eighty-four files in total were generated, representing approximately 63 days worth of activities. Forty-two files of classification of ADLs were simulated in the classification dataset and the other forty-two files are for anomaly detection problems in which anomalous patterns were simulated and injected into the anomaly detection dataset.

The NOAA Dataset Identifier Project

Science.gov (United States)

de la Beaujardiere, J.; Mccullough, H.; Casey, K. S.

2013-12-01

The US National Oceanic and Atmospheric Administration (NOAA) initiated a project in 2013 to assign persistent identifiers to datasets archived at NOAA and to create informational landing pages about those datasets. The goals of this project are to enable the citation of datasets used in products and results in order to help provide credit to data producers, to support traceability and reproducibility, and to enable tracking of data usage and impact. A secondary goal is to encourage the submission of datasets for long-term preservation, because only archived datasets will be eligible for a NOAA-issued identifier. A team was formed with representatives from the National Geophysical, Oceanographic, and Climatic Data Centers (NGDC, NODC, NCDC) to resolve questions including which identifier scheme to use (answer: Digital Object Identifier - DOI), whether or not to embed semantics in identifiers (no), the level of granularity at which to assign identifiers (as coarsely as reasonable), how to handle ongoing time-series data (do not break into chunks), creation mechanism for the landing page (stylesheet from formal metadata record preferred), and others. Decisions made and implementation experience gained will inform the writing of a Data Citation Procedural Directive to be issued by the Environmental Data Management Committee in 2014. Several identifiers have been issued as of July 2013, with more on the way. NOAA is now reporting the number as a metric to federal Open Government initiatives. This paper will provide further details and status of the project.

Control Measure Dataset

Data.gov (United States)

U.S. Environmental Protection Agency — The EPA Control Measure Dataset is a collection of documents describing air pollution control available to regulated facilities for the control and abatement of air...

The Kinetics Human Action Video Dataset

OpenAIRE

Kay, Will; Carreira, Joao; Simonyan, Karen; Zhang, Brian; Hillier, Chloe; Vijayanarasimhan, Sudheendra; Viola, Fabio; Green, Tim; Back, Trevor; Natsev, Paul; Suleyman, Mustafa; Zisserman, Andrew

2017-01-01

We describe the DeepMind Kinetics human action video dataset. The dataset contains 400 human action classes, with at least 400 video clips for each action. Each clip lasts around 10s and is taken from a different YouTube video. The actions are human focussed and cover a broad range of classes including human-object interactions such as playing instruments, as well as human-human interactions such as shaking hands. We describe the statistics of the dataset, how it was collected, and give some ...

Comparison of CORA and EN4 in-situ datasets validation methods, toward a better quality merged dataset.

Science.gov (United States)

Szekely, Tanguy; Killick, Rachel; Gourrion, Jerome; Reverdin, Gilles

2017-04-01

CORA and EN4 are both global delayed time mode validated in-situ ocean temperature and salinity datasets distributed by the Met Office (http://www.metoffice.gov.uk/) and Copernicus (www.marine.copernicus.eu). A large part of the profiles distributed by CORA and EN4 in recent years are Argo profiles from the ARGO DAC, but profiles are also extracted from the World Ocean Database and TESAC profiles from GTSPP. In the case of CORA, data coming from the EUROGOOS Regional operationnal oserving system( ROOS) operated by European institutes no managed by National Data Centres and other datasets of profiles povided by scientific sources can also be found (Sea mammals profiles from MEOP, XBT datasets from cruises ...). (EN4 also takes data from the ASBO dataset to supplement observations in the Arctic). First advantage of this new merge product is to enhance the space and time coverage at global and european scales for the period covering 1950 till a year before the current year. This product is updated once a year and T&S gridded fields are alos generated for the period 1990-year n-1. The enhancement compared to the revious CORA product will be presented Despite the fact that the profiles distributed by both datasets are mostly the same, the quality control procedures developed by the Met Office and Copernicus teams differ, sometimes leading to different quality control flags for the same profile. Started in 2016 a new study started that aims to compare both validation procedures to move towards a Copernicus Marine Service dataset with the best features of CORA and EN4 validation.A reference data set composed of the full set of in-situ temperature and salinity measurements collected by Coriolis during 2015 is used. These measurements have been made thanks to wide range of instruments (XBTs, CTDs, Argo floats, Instrumented sea mammals,...), covering the global ocean. The reference dataset has been validated simultaneously by both teams.An exhaustive comparison of the

Fluxnet Synthesis Dataset Collaboration Infrastructure

Energy Technology Data Exchange (ETDEWEB)

Agarwal, Deborah A. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Humphrey, Marty [Univ. of Virginia, Charlottesville, VA (United States); van Ingen, Catharine [Microsoft. San Francisco, CA (United States); Beekwilder, Norm [Univ. of Virginia, Charlottesville, VA (United States); Goode, Monte [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Jackson, Keith [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Rodriguez, Matt [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Weber, Robin [Univ. of California, Berkeley, CA (United States)

2008-02-06

The Fluxnet synthesis dataset originally compiled for the La Thuile workshop contained approximately 600 site years. Since the workshop, several additional site years have been added and the dataset now contains over 920 site years from over 240 sites. A data refresh update is expected to increase those numbers in the next few months. The ancillary data describing the sites continues to evolve as well. There are on the order of 120 site contacts and 60proposals have been approved to use thedata. These proposals involve around 120 researchers. The size and complexity of the dataset and collaboration has led to a new approach to providing access to the data and collaboration support and the support team attended the workshop and worked closely with the attendees and the Fluxnet project office to define the requirements for the support infrastructure. As a result of this effort, a new website (http://www.fluxdata.org) has been created to provide access to the Fluxnet synthesis dataset. This new web site is based on a scientific data server which enables browsing of the data on-line, data download, and version tracking. We leverage database and data analysis tools such as OLAP data cubes and web reports to enable browser and Excel pivot table access to the data.

Simulation of Smart Home Activity Datasets

Directory of Open Access Journals (Sweden)

Jonathan Synnott

2015-06-01

Full Text Available A globally ageing population is resulting in an increased prevalence of chronic conditions which affect older adults. Such conditions require long-term care and management to maximize quality of life, placing an increasing strain on healthcare resources. Intelligent environments such as smart homes facilitate long-term monitoring of activities in the home through the use of sensor technology. Access to sensor datasets is necessary for the development of novel activity monitoring and recognition approaches. Access to such datasets is limited due to issues such as sensor cost, availability and deployment time. The use of simulated environments and sensors may address these issues and facilitate the generation of comprehensive datasets. This paper provides a review of existing approaches for the generation of simulated smart home activity datasets, including model-based approaches and interactive approaches which implement virtual sensors, environments and avatars. The paper also provides recommendation for future work in intelligent environment simulation.

Simulation of Smart Home Activity Datasets.

Science.gov (United States)

Synnott, Jonathan; Nugent, Chris; Jeffers, Paul

2015-06-16

A globally ageing population is resulting in an increased prevalence of chronic conditions which affect older adults. Such conditions require long-term care and management to maximize quality of life, placing an increasing strain on healthcare resources. Intelligent environments such as smart homes facilitate long-term monitoring of activities in the home through the use of sensor technology. Access to sensor datasets is necessary for the development of novel activity monitoring and recognition approaches. Access to such datasets is limited due to issues such as sensor cost, availability and deployment time. The use of simulated environments and sensors may address these issues and facilitate the generation of comprehensive datasets. This paper provides a review of existing approaches for the generation of simulated smart home activity datasets, including model-based approaches and interactive approaches which implement virtual sensors, environments and avatars. The paper also provides recommendation for future work in intelligent environment simulation.

Solar Integration National Dataset Toolkit | Grid Modernization | NREL

Science.gov (United States)

Solar Integration National Dataset Toolkit Solar Integration National Dataset Toolkit NREL is working on a Solar Integration National Dataset (SIND) Toolkit to enable researchers to perform U.S . regional solar generation integration studies. It will provide modeled, coherent subhourly solar power data

PROVIDING GEOGRAPHIC DATASETS AS LINKED DATA IN SDI

Directory of Open Access Journals (Sweden)

E. Hietanen

2016-06-01

Full Text Available In this study, a prototype service to provide data from Web Feature Service (WFS as linked data is implemented. At first, persistent and unique Uniform Resource Identifiers (URI are created to all spatial objects in the dataset. The objects are available from those URIs in Resource Description Framework (RDF data format. Next, a Web Ontology Language (OWL ontology is created to describe the dataset information content using the Open Geospatial Consortium’s (OGC GeoSPARQL vocabulary. The existing data model is modified in order to take into account the linked data principles. The implemented service produces an HTTP response dynamically. The data for the response is first fetched from existing WFS. Then the Geographic Markup Language (GML format output of the WFS is transformed on-the-fly to the RDF format. Content Negotiation is used to serve the data in different RDF serialization formats. This solution facilitates the use of a dataset in different applications without replicating the whole dataset. In addition, individual spatial objects in the dataset can be referred with URIs. Furthermore, the needed information content of the objects can be easily extracted from the RDF serializations available from those URIs. A solution for linking data objects to the dataset URI is also introduced by using the Vocabulary of Interlinked Datasets (VoID. The dataset is divided to the subsets and each subset is given its persistent and unique URI. This enables the whole dataset to be explored with a web browser and all individual objects to be indexed by search engines.

Wind Integration National Dataset Toolkit | Grid Modernization | NREL

Science.gov (United States)

Integration National Dataset Toolkit Wind Integration National Dataset Toolkit The Wind Integration National Dataset (WIND) Toolkit is an update and expansion of the Eastern Wind Integration Data Set and Western Wind Integration Data Set. It supports the next generation of wind integration studies. WIND

A New Outlier Detection Method for Multidimensional Datasets

KAUST Repository

Abdel Messih, Mario A.

2012-07-01

This study develops a novel hybrid method for outlier detection (HMOD) that combines the idea of distance based and density based methods. The proposed method has two main advantages over most of the other outlier detection methods. The first advantage is that it works well on both dense and sparse datasets. The second advantage is that, unlike most other outlier detection methods that require careful parameter setting and prior knowledge of the data, HMOD is not very sensitive to small changes in parameter values within certain parameter ranges. The only required parameter to set is the number of nearest neighbors. In addition, we made a fully parallelized implementation of HMOD that made it very efficient in applications. Moreover, we proposed a new way of using the outlier detection for redundancy reduction in datasets where the confidence level that evaluates how accurate the less redundant dataset can be used to represent the original dataset can be specified by users. HMOD is evaluated on synthetic datasets (dense and mixed “dense and sparse”) and a bioinformatics problem of redundancy reduction of dataset of position weight matrices (PWMs) of transcription factor binding sites. In addition, in the process of assessing the performance of our redundancy reduction method, we developed a simple tool that can be used to evaluate the confidence level of reduced dataset representing the original dataset. The evaluation of the results shows that our method can be used in a wide range of problems.

NP-PAH Interaction Dataset

Data.gov (United States)

U.S. Environmental Protection Agency — Dataset presents concentrations of organic pollutants, such as polyaromatic hydrocarbon compounds, in water samples. Water samples of known volume and concentration...

A dataset on tail risk of commodities markets.

Science.gov (United States)

Powell, Robert J; Vo, Duc H; Pham, Thach N; Singh, Abhay K

2017-12-01

This article contains the datasets related to the research article "The long and short of commodity tails and their relationship to Asian equity markets"(Powell et al., 2017) [1]. The datasets contain the daily prices (and price movements) of 24 different commodities decomposed from the S&P GSCI index and the daily prices (and price movements) of three share market indices including World, Asia, and South East Asia for the period 2004-2015. Then, the dataset is divided into annual periods, showing the worst 5% of price movements for each year. The datasets are convenient to examine the tail risk of different commodities as measured by Conditional Value at Risk (CVaR) as well as their changes over periods. The datasets can also be used to investigate the association between commodity markets and share markets.

Proteomics dataset

DEFF Research Database (Denmark)

Bennike, Tue Bjerg; Carlsen, Thomas Gelsing; Ellingsen, Torkell

2017-01-01

patients (Morgan et al., 2012; Abraham and Medzhitov, 2011; Bennike, 2014) [8–10. Therefore, we characterized the proteome of colon mucosa biopsies from 10 inflammatory bowel disease ulcerative colitis (UC) patients, 11 gastrointestinal healthy rheumatoid arthritis (RA) patients, and 10 controls. We...... been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifiers PXD001608 for ulcerative colitis and control samples, and PXD003082 for rheumatoid arthritis samples....

Comparison of Shallow Survey 2012 Multibeam Datasets

Science.gov (United States)

Ramirez, T. M.

2012-12-01

The purpose of the Shallow Survey common dataset is a comparison of the different technologies utilized for data acquisition in the shallow survey marine environment. The common dataset consists of a series of surveys conducted over a common area of seabed using a variety of systems. It provides equipment manufacturers the opportunity to showcase their latest systems while giving hydrographic researchers and scientists a chance to test their latest algorithms on the dataset so that rigorous comparisons can be made. Five companies collected data for the Common Dataset in the Wellington Harbor area in New Zealand between May 2010 and May 2011; including Kongsberg, Reson, R2Sonic, GeoAcoustics, and Applied Acoustics. The Wellington harbor and surrounding coastal area was selected since it has a number of well-defined features, including the HMNZS South Seas and HMNZS Wellington wrecks, an armored seawall constructed of Tetrapods and Akmons, aquifers, wharves and marinas. The seabed inside the harbor basin is largely fine-grained sediment, with gravel and reefs around the coast. The area outside the harbor on the southern coast is an active environment, with moving sand and exposed reefs. A marine reserve is also in this area. For consistency between datasets, the coastal research vessel R/V Ikatere and crew were used for all surveys conducted for the common dataset. Using Triton's Perspective processing software multibeam datasets collected for the Shallow Survey were processed for detail analysis. Datasets from each sonar manufacturer were processed using the CUBE algorithm developed by the Center for Coastal and Ocean Mapping/Joint Hydrographic Center (CCOM/JHC). Each dataset was gridded at 0.5 and 1.0 meter resolutions for cross comparison and compliance with International Hydrographic Organization (IHO) requirements. Detailed comparisons were made of equipment specifications (transmit frequency, number of beams, beam width), data density, total uncertainty, and

Las creencias y las concepciones. Perspectivas complementarias

Directory of Open Access Journals (Sweden)

Fuensanta HERNÁNDEZ PINA

2011-01-01

Full Text Available Las creencias y las concepciones sobre la enseñanza y el aprendizaje que los profesores sostienen como docentes es una línea de investigación que está suponiendo un avance en el conocimiento sobre factores relevantes para la mejor de la educación. Desde hace más de dos décadas han sido numerosos los investigadores que han venido proporcionando resultados de investigación en torno a las creencias y las concepciones de la enseñanza y el aprendizaje lo que ha supuesto establecer nuevas e interesantes interpretaciones en dicha relación. En el trabajo que presentamos se abordan algunas de las aportaciones sobre dichas creencias y sobre las concepciones de la enseñanza y el aprendizaje.

National Hydrography Dataset (NHD)

Data.gov (United States)

Kansas Data Access and Support Center — The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that comprise the...

The Harvard organic photovoltaic dataset.

Science.gov (United States)

Lopez, Steven A; Pyzer-Knapp, Edward O; Simm, Gregor N; Lutzow, Trevor; Li, Kewei; Seress, Laszlo R; Hachmann, Johannes; Aspuru-Guzik, Alán

2016-09-27

The Harvard Organic Photovoltaic Dataset (HOPV15) presented in this work is a collation of experimental photovoltaic data from the literature, and corresponding quantum-chemical calculations performed over a range of conformers, each with quantum chemical results using a variety of density functionals and basis sets. It is anticipated that this dataset will be of use in both relating electronic structure calculations to experimental observations through the generation of calibration schemes, as well as for the creation of new semi-empirical methods and the benchmarking of current and future model chemistries for organic electronic applications.

¿Quién habla de las mujeres en las noticias donde ellas son las protagonistas?

Directory of Open Access Journals (Sweden)

Ana Tamarit

2011-01-01

Full Text Available Este artículo presenta un análisis de las fuentes que los periodistas utilizan en las informaciones donde las mujeres son protagonistas de las noticias. La investigación -cuantitativa y cualitativa- se ha realizado en los periódicos de ámbito nacional y local de Castilla y León. Con los resultados obtenidos observamos cómo en los periódicos las noticias que hablan de las mujeres en la mayoría de las ocasiones no se firman. Comprobamos cuáles son las fuentes más utilizadas para la elaboración de esas noticias y las diferentes formas de citar a la fuente cuando se trata de un hombre o de una mujer.

Tables and figure datasets

Data.gov (United States)

U.S. Environmental Protection Agency — Soil and air concentrations of asbestos in Sumas study. This dataset is associated with the following publication: Wroble, J., T. Frederick, A. Frame, and D....

Las telenovelas juveniles mexicanas y las adolescentas obesas

Directory of Open Access Journals (Sweden)

Tania Meza

2006-01-01

Full Text Available Esta investigación analiza la opresión por cuerpo (obesidad a la que las mujeres son sometidas dentro del sistema patriarcal durante la adolescencia, específicamente a través de la representación televisiva que de las jóvenes gordas se hace en la telenovela juvenil mexicana. Los enormes niveles de audiencia que poseen las telenovelas en nuestro país hace indispensable, para los estudios de género desde las ciencias dela comunicación, estudiar el papel de las mujeres en dichas teleseries. En este análisis se pretende mostrar la triple marginación a la que son sometidas las adolescentes obesas en las telenovelas juveniles mexicanas: por ser mujeres, por ser jóvenes y por ser gordas.

Las redes sociales presentes en las bibliotecas

Directory of Open Access Journals (Sweden)

Magda Cecilia Sandí S.

2012-01-01

Full Text Available El presente artículo pretende evidenciar la importancia del uso de las redes sociales en las bibliotecas como una herramienta y un canal de comunicación entre el bibliotecólogo y la comunidad de usuarios. Las redes sociales son una nueva forma de comunicarnos entre las y los usuarios del Internet, su uso es irrestricto y cada vez aumenta la comunidad de usuarios de estas herramientas en la red.

Las redes sociales presentes en las bibliotecas

Directory of Open Access Journals (Sweden)

Magda Cecilia Sandí Sandí

2012-07-01

Full Text Available El presente artículo pretende evidenciar la importancia del uso de las redes sociales en las bibliotecas como una herramienta y un canal de comunicación entre el bibliotecólogo y la comunidad de usuarios. Las redes sociales son una nueva forma de comunicarnos entre las y los usuarios del Internet, su uso es irrestricto y cada vez aumenta la comunidad de usuarios de estas herramientas en la red.

Las redes sociales presentes en las bibliotecas

OpenAIRE

Magda Cecilia Sandí S.

2012-01-01

El presente artículo pretende evidenciar la importancia del uso de las redes sociales en las bibliotecas como una herramienta y un canal de comunicación entre el bibliotecólogo y la comunidad de usuarios. Las redes sociales son una nueva forma de comunicarnos entre las y los usuarios del Internet, su uso es irrestricto y cada vez aumenta la comunidad de usuarios de estas herramientas en la red.

ESTIMATING PHOTOMETRIC REDSHIFTS OF QUASARS VIA THE k-NEAREST NEIGHBOR APPROACH BASED ON LARGE SURVEY DATABASES

Energy Technology Data Exchange (ETDEWEB)

Zhang Yanxia; Ma He; Peng Nanbo; Zhao Yongheng [Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences, 100012 Beijing (China); Wu Xuebing, E-mail: zyx@bao.ac.cn [Department of Astronomy, Peking University, 100871 Beijing (China)

2013-08-01

We apply one of the lazy learning methods, the k-nearest neighbor (kNN) algorithm, to estimate the photometric redshifts of quasars based on various data sets from the Sloan Digital Sky Survey (SDSS), the UKIRT Infrared Deep Sky Survey (UKIDSS), and the Wide-field Infrared Survey Explorer (WISE; the SDSS sample, the SDSS-UKIDSS sample, the SDSS-WISE sample, and the SDSS-UKIDSS-WISE sample). The influence of the k value and different input patterns on the performance of kNN is discussed. kNN performs best when k is different with a special input pattern for a special data set. The best result belongs to the SDSS-UKIDSS-WISE sample. The experimental results generally show that the more information from more bands, the better performance of photometric redshift estimation with kNN. The results also demonstrate that kNN using multiband data can effectively solve the catastrophic failure of photometric redshift estimation, which is met by many machine learning methods. Compared with the performance of various other methods of estimating the photometric redshifts of quasars, kNN based on KD-Tree shows superiority, exhibiting the best accuracy.

ESTIMATING PHOTOMETRIC REDSHIFTS OF QUASARS VIA THE k-NEAREST NEIGHBOR APPROACH BASED ON LARGE SURVEY DATABASES

International Nuclear Information System (INIS)

Zhang Yanxia; Ma He; Peng Nanbo; Zhao Yongheng; Wu Xuebing

2013-01-01

We apply one of the lazy learning methods, the k-nearest neighbor (kNN) algorithm, to estimate the photometric redshifts of quasars based on various data sets from the Sloan Digital Sky Survey (SDSS), the UKIRT Infrared Deep Sky Survey (UKIDSS), and the Wide-field Infrared Survey Explorer (WISE; the SDSS sample, the SDSS-UKIDSS sample, the SDSS-WISE sample, and the SDSS-UKIDSS-WISE sample). The influence of the k value and different input patterns on the performance of kNN is discussed. kNN performs best when k is different with a special input pattern for a special data set. The best result belongs to the SDSS-UKIDSS-WISE sample. The experimental results generally show that the more information from more bands, the better performance of photometric redshift estimation with kNN. The results also demonstrate that kNN using multiband data can effectively solve the catastrophic failure of photometric redshift estimation, which is met by many machine learning methods. Compared with the performance of various other methods of estimating the photometric redshifts of quasars, kNN based on KD-Tree shows superiority, exhibiting the best accuracy.

PHYSICS PERFORMANCE AND DATASET (PPD)

CERN Multimedia

L. Silvestris

2013-01-01

The first part of the Long Shutdown period has been dedicated to the preparation of the samples for the analysis targeting the summer conferences. In particular, the 8 TeV data acquired in 2012, including most of the “parked datasets”, have been reconstructed profiting from improved alignment and calibration conditions for all the sub-detectors. A careful planning of the resources was essential in order to deliver the datasets well in time to the analysts, and to schedule the update of all the conditions and calibrations needed at the analysis level. The newly reprocessed data have undergone detailed scrutiny by the Dataset Certification team allowing to recover some of the data for analysis usage and further improving the certification efficiency, which is now at 91% of the recorded luminosity. With the aim of delivering a consistent dataset for 2011 and 2012, both in terms of conditions and release (53X), the PPD team is now working to set up a data re-reconstruction and a new MC pro...

Integrated Surface Dataset (Global)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The Integrated Surface (ISD) Dataset (ISD) is composed of worldwide surface weather observations from over 35,000 stations, though the best spatial coverage is...

Aaron Journal article datasets

Data.gov (United States)

U.S. Environmental Protection Agency — All figures used in the journal article are in netCDF format. This dataset is associated with the following publication: Sims, A., K. Alapaty , and S. Raman....

Market Squid Ecology Dataset

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This dataset contains ecological information collected on the major adult spawning and juvenile habitats of market squid off California and the US Pacific Northwest....

ATLAS File and Dataset Metadata Collection and Use

CERN Document Server

Albrand, S; The ATLAS collaboration; Lambert, F; Gallas, E J

2012-01-01

The ATLAS Metadata Interface (“AMI”) was designed as a generic cataloguing system, and as such it has found many uses in the experiment including software release management, tracking of reconstructed event sizes and control of dataset nomenclature. The primary use of AMI is to provide a catalogue of datasets (file collections) which is searchable using physics criteria. In this paper we discuss the various mechanisms used for filling the AMI dataset and file catalogues. By correlating information from different sources we can derive aggregate information which is important for physics analysis; for example the total number of events contained in dataset, and possible reasons for missing events such as a lost file. Finally we will describe some specialized interfaces which were developed for the Data Preparation and reprocessing coordinators. These interfaces manipulate information from both the dataset domain held in AMI, and the run-indexed information held in the ATLAS COMA application (Conditions and ...

Norwegian Hydrological Reference Dataset for Climate Change Studies

Energy Technology Data Exchange (ETDEWEB)

Magnussen, Inger Helene; Killingland, Magnus; Spilde, Dag

2012-07-01

Based on the Norwegian hydrological measurement network, NVE has selected a Hydrological Reference Dataset for studies of hydrological change. The dataset meets international standards with high data quality. It is suitable for monitoring and studying the effects of climate change on the hydrosphere and cryosphere in Norway. The dataset includes streamflow, groundwater, snow, glacier mass balance and length change, lake ice and water temperature in rivers and lakes.(Author)

The Harvard organic photovoltaic dataset

Science.gov (United States)

Lopez, Steven A.; Pyzer-Knapp, Edward O.; Simm, Gregor N.; Lutzow, Trevor; Li, Kewei; Seress, Laszlo R.; Hachmann, Johannes; Aspuru-Guzik, Alán

2016-01-01

The Harvard Organic Photovoltaic Dataset (HOPV15) presented in this work is a collation of experimental photovoltaic data from the literature, and corresponding quantum-chemical calculations performed over a range of conformers, each with quantum chemical results using a variety of density functionals and basis sets. It is anticipated that this dataset will be of use in both relating electronic structure calculations to experimental observations through the generation of calibration schemes, as well as for the creation of new semi-empirical methods and the benchmarking of current and future model chemistries for organic electronic applications. PMID:27676312

Synthetic and Empirical Capsicum Annuum Image Dataset

NARCIS (Netherlands)

Barth, R.

2016-01-01

This dataset consists of per-pixel annotated synthetic (10500) and empirical images (50) of Capsicum annuum, also known as sweet or bell pepper, situated in a commercial greenhouse. Furthermore, the source models to generate the synthetic images are included. The aim of the datasets are to

EEG datasets for motor imagery brain-computer interface.

Science.gov (United States)

Cho, Hohyun; Ahn, Minkyu; Ahn, Sangtae; Kwon, Moonyoung; Jun, Sung Chan

2017-07-01

Most investigators of brain-computer interface (BCI) research believe that BCI can be achieved through induced neuronal activity from the cortex, but not by evoked neuronal activity. Motor imagery (MI)-based BCI is one of the standard concepts of BCI, in that the user can generate induced activity by imagining motor movements. However, variations in performance over sessions and subjects are too severe to overcome easily; therefore, a basic understanding and investigation of BCI performance variation is necessary to find critical evidence of performance variation. Here we present not only EEG datasets for MI BCI from 52 subjects, but also the results of a psychological and physiological questionnaire, EMG datasets, the locations of 3D EEG electrodes, and EEGs for non-task-related states. We validated our EEG datasets by using the percentage of bad trials, event-related desynchronization/synchronization (ERD/ERS) analysis, and classification analysis. After conventional rejection of bad trials, we showed contralateral ERD and ipsilateral ERS in the somatosensory area, which are well-known patterns of MI. Finally, we showed that 73.08% of datasets (38 subjects) included reasonably discriminative information. Our EEG datasets included the information necessary to determine statistical significance; they consisted of well-discriminated datasets (38 subjects) and less-discriminative datasets. These may provide researchers with opportunities to investigate human factors related to MI BCI performance variation, and may also achieve subject-to-subject transfer by using metadata, including a questionnaire, EEG coordinates, and EEGs for non-task-related states. © The Authors 2017. Published by Oxford University Press.

A high-resolution European dataset for hydrologic modeling

Science.gov (United States)

Ntegeka, Victor; Salamon, Peter; Gomes, Goncalo; Sint, Hadewij; Lorini, Valerio; Thielen, Jutta

2013-04-01

There is an increasing demand for large scale hydrological models not only in the field of modeling the impact of climate change on water resources but also for disaster risk assessments and flood or drought early warning systems. These large scale models need to be calibrated and verified against large amounts of observations in order to judge their capabilities to predict the future. However, the creation of large scale datasets is challenging for it requires collection, harmonization, and quality checking of large amounts of observations. For this reason, only a limited number of such datasets exist. In this work, we present a pan European, high-resolution gridded dataset of meteorological observations (EFAS-Meteo) which was designed with the aim to drive a large scale hydrological model. Similar European and global gridded datasets already exist, such as the HadGHCND (Caesar et al., 2006), the JRC MARS-STAT database (van der Goot and Orlandi, 2003) and the E-OBS gridded dataset (Haylock et al., 2008). However, none of those provide similarly high spatial resolution and/or a complete set of variables to force a hydrologic model. EFAS-Meteo contains daily maps of precipitation, surface temperature (mean, minimum and maximum), wind speed and vapour pressure at a spatial grid resolution of 5 x 5 km for the time period 1 January 1990 - 31 December 2011. It furthermore contains calculated radiation, which is calculated by using a staggered approach depending on the availability of sunshine duration, cloud cover and minimum and maximum temperature, and evapotranspiration (potential evapotranspiration, bare soil and open water evapotranspiration). The potential evapotranspiration was calculated using the Penman-Monteith equation with the above-mentioned meteorological variables. The dataset was created as part of the development of the European Flood Awareness System (EFAS) and has been continuously updated throughout the last years. The dataset variables are used as

ASSISTments Dataset from Multiple Randomized Controlled Experiments

Science.gov (United States)

Selent, Douglas; Patikorn, Thanaporn; Heffernan, Neil

2016-01-01

In this paper, we present a dataset consisting of data generated from 22 previously and currently running randomized controlled experiments inside the ASSISTments online learning platform. This dataset provides data mining opportunities for researchers to analyze ASSISTments data in a convenient format across multiple experiments at the same time.…

Would the ‘real’ observed dataset stand up? A critical examination of eight observed gridded climate datasets for China

International Nuclear Information System (INIS)

Sun, Qiaohong; Miao, Chiyuan; Duan, Qingyun; Kong, Dongxian; Ye, Aizhong; Di, Zhenhua; Gong, Wei

2014-01-01

This research compared and evaluated the spatio-temporal similarities and differences of eight widely used gridded datasets. The datasets include daily precipitation over East Asia (EA), the Climate Research Unit (CRU) product, the Global Precipitation Climatology Centre (GPCC) product, the University of Delaware (UDEL) product, Precipitation Reconstruction over Land (PREC/L), the Asian Precipitation Highly Resolved Observational (APHRO) product, the Institute of Atmospheric Physics (IAP) dataset from the Chinese Academy of Sciences, and the National Meteorological Information Center dataset from the China Meteorological Administration (CN05). The meteorological variables focus on surface air temperature (SAT) or precipitation (PR) in China. All datasets presented general agreement on the whole spatio-temporal scale, but some differences appeared for specific periods and regions. On a temporal scale, EA shows the highest amount of PR, while APHRO shows the lowest. CRU and UDEL show higher SAT than IAP or CN05. On a spatial scale, the most significant differences occur in western China for PR and SAT. For PR, the difference between EA and CRU is the largest. When compared with CN05, CRU shows higher SAT in the central and southern Northwest river drainage basin, UDEL exhibits higher SAT over the Southwest river drainage system, and IAP has lower SAT in the Tibetan Plateau. The differences in annual mean PR and SAT primarily come from summer and winter, respectively. Finally, potential factors impacting agreement among gridded climate datasets are discussed, including raw data sources, quality control (QC) schemes, orographic correction, and interpolation techniques. The implications and challenges of these results for climate research are also briefly addressed. (paper)

Estimating parameters for probabilistic linkage of privacy-preserved datasets.

Science.gov (United States)

Brown, Adrian P; Randall, Sean M; Ferrante, Anna M; Semmens, James B; Boyd, James H

2017-07-10

Probabilistic record linkage is a process used to bring together person-based records from within the same dataset (de-duplication) or from disparate datasets using pairwise comparisons and matching probabilities. The linkage strategy and associated match probabilities are often estimated through investigations into data quality and manual inspection. However, as privacy-preserved datasets comprise encrypted data, such methods are not possible. In this paper, we present a method for estimating the probabilities and threshold values for probabilistic privacy-preserved record linkage using Bloom filters. Our method was tested through a simulation study using synthetic data, followed by an application using real-world administrative data. Synthetic datasets were generated with error rates from zero to 20% error. Our method was used to estimate parameters (probabilities and thresholds) for de-duplication linkages. Linkage quality was determined by F-measure. Each dataset was privacy-preserved using separate Bloom filters for each field. Match probabilities were estimated using the expectation-maximisation (EM) algorithm on the privacy-preserved data. Threshold cut-off values were determined by an extension to the EM algorithm allowing linkage quality to be estimated for each possible threshold. De-duplication linkages of each privacy-preserved dataset were performed using both estimated and calculated probabilities. Linkage quality using the F-measure at the estimated threshold values was also compared to the highest F-measure. Three large administrative datasets were used to demonstrate the applicability of the probability and threshold estimation technique on real-world data. Linkage of the synthetic datasets using the estimated probabilities produced an F-measure that was comparable to the F-measure using calculated probabilities, even with up to 20% error. Linkage of the administrative datasets using estimated probabilities produced an F-measure that was higher

Viking Seismometer PDS Archive Dataset

Science.gov (United States)

Lorenz, R. D.

2016-12-01

The Viking Lander 2 seismometer operated successfully for over 500 Sols on the Martian surface, recording at least one likely candidate Marsquake. The Viking mission, in an era when data handling hardware (both on board and on the ground) was limited in capability, predated modern planetary data archiving, and ad-hoc repositories of the data, and the very low-level record at NSSDC, were neither convenient to process nor well-known. In an effort supported by the NASA Mars Data Analysis Program, we have converted the bulk of the Viking dataset (namely the 49,000 and 270,000 records made in High- and Event- modes at 20 and 1 Hz respectively) into a simple ASCII table format. Additionally, since wind-generated lander motion is a major component of the signal, contemporaneous meteorological data are included in summary records to facilitate correlation. These datasets are being archived at the PDS Geosciences Node. In addition to brief instrument and dataset descriptions, the archive includes code snippets in the freely-available language 'R' to demonstrate plotting and analysis. Further, we present examples of lander-generated noise, associated with the sampler arm, instrument dumps and other mechanical operations.

Homogenised Australian climate datasets used for climate change monitoring

International Nuclear Information System (INIS)

Trewin, Blair; Jones, David; Collins; Dean; Jovanovic, Branislava; Braganza, Karl

2007-01-01

Full text: The Australian Bureau of Meteorology has developed a number of datasets for use in climate change monitoring. These datasets typically cover 50-200 stations distributed as evenly as possible over the Australian continent, and have been subject to detailed quality control and homogenisation.The time period over which data are available for each element is largely determined by the availability of data in digital form. Whilst nearly all Australian monthly and daily precipitation data have been digitised, a significant quantity of pre-1957 data (for temperature and evaporation) or pre-1987 data (for some other elements) remains to be digitised, and is not currently available for use in the climate change monitoring datasets. In the case of temperature and evaporation, the start date of the datasets is also determined by major changes in instruments or observing practices for which no adjustment is feasible at the present time. The datasets currently available cover: Monthly and daily precipitation (most stations commence 1915 or earlier, with many extending back to the late 19th century, and a few to the mid-19th century); Annual temperature (commences 1910); Daily temperature (commences 1910, with limited station coverage pre-1957); Twice-daily dewpoint/relative humidity (commences 1957); Monthly pan evaporation (commences 1970); Cloud amount (commences 1957) (Jovanovic etal. 2007). As well as the station-based datasets listed above, an additional dataset being developed for use in climate change monitoring (and other applications) covers tropical cyclones in the Australian region. This is described in more detail in Trewin (2007). The datasets already developed are used in analyses of observed climate change, which are available through the Australian Bureau of Meteorology website (http://www.bom.gov.au/silo/products/cli_chg/). They are also used as a basis for routine climate monitoring, and in the datasets used for the development of seasonal

Introduction of a simple-model-based land surface dataset for Europe

Science.gov (United States)

Orth, Rene; Seneviratne, Sonia I.

2015-04-01

Land surface hydrology can play a crucial role during extreme events such as droughts, floods and even heat waves. We introduce in this study a new hydrological dataset for Europe that consists of soil moisture, runoff and evapotranspiration (ET). It is derived with a simple water balance model (SWBM) forced with precipitation, temperature and net radiation. The SWBM dataset extends over the period 1984-2013 with a daily time step and 0.5° × 0.5° resolution. We employ a novel calibration approach, in which we consider 300 random parameter sets chosen from an observation-based range. Using several independent validation datasets representing soil moisture (or terrestrial water content), ET and streamflow, we identify the best performing parameter set and hence the new dataset. To illustrate its usefulness, the SWBM dataset is compared against several state-of-the-art datasets (ERA-Interim/Land, MERRA-Land, GLDAS-2-Noah, simulations of the Community Land Model Version 4), using all validation datasets as reference. For soil moisture dynamics it outperforms the benchmarks. Therefore the SWBM soil moisture dataset constitutes a reasonable alternative to sparse measurements, little validated model results, or proxy data such as precipitation indices. Also in terms of runoff the SWBM dataset performs well, whereas the evaluation of the SWBM ET dataset is overall satisfactory, but the dynamics are less well captured for this variable. This highlights the limitations of the dataset, as it is based on a simple model that uses uniform parameter values. Hence some processes impacting ET dynamics may not be captured, and quality issues may occur in regions with complex terrain. Even though the SWBM is well calibrated, it cannot replace more sophisticated models; but as their calibration is a complex task the present dataset may serve as a benchmark in future. In addition we investigate the sources of skill of the SWBM dataset and find that the parameter set has a similar

Data Mining for Imbalanced Datasets: An Overview

Science.gov (United States)

Chawla, Nitesh V.

A dataset is imbalanced if the classification categories are not approximately equally represented. Recent years brought increased interest in applying machine learning techniques to difficult "real-world" problems, many of which are characterized by imbalanced data. Additionally the distribution of the testing data may differ from that of the training data, and the true misclassification costs may be unknown at learning time. Predictive accuracy, a popular choice for evaluating performance of a classifier, might not be appropriate when the data is imbalanced and/or the costs of different errors vary markedly. In this Chapter, we discuss some of the sampling techniques used for balancing the datasets, and the performance measures more appropriate for mining imbalanced datasets.

Las multitudes y las revoluciones de nuestro tiempo

Directory of Open Access Journals (Sweden)

John Harold Biervliet

2015-08-01

Full Text Available Este artículo examina el motivo de las multitudes y las revoluciones de nuestro tiempo. Primeramente, se discuten las diferencias entre los conceptos de multitud y masa. Así, podemos considerar las revoluciones como acontecimientos de cambios sociales, económicos y políticos, provenientes de las clases baja y media de la sociedad. El meollo de este artículo refiere a la dignidad humana articulada a la contracción de los Estados de bienestar. Los ciudadanos están reflejando un desencanto hacia la clase política y una frustración con respecto al empeoramiento de las condiciones económicas y sociales. Podemos observar los casos de indignados en Grecia, España y Portugal pero también en los países árabes. De esta misma manera, las revoluciones de las multitudes siguen avanzando por medio de las demostraciones públicas y protestas sobre los espacios geográficos. Finalmente, las dinámicas de cambio a través de las revoluciones árabes son una cuestión compleja debido al círculo vicioso entre la tendencia autoritaria y la islámica. This article examines the reason of multitudes and revolutions in our time. First of all, it discusses the difference between the concept of multitude and mass. Consequently, revolutions can be considered as social, economic, and political events of changes, which come from the low and middle classes of the society. This article refers to the human dignity articulated with the contraction of Welfare states. Citizens are reflecting disenchantment towards the political class and frustration regarding the deterioration of social and economic conditions. We can observe angry people in Greece, Spain, and Portugal but also in Arabian countries. In this same way, revolutions of multitudes continue by means of public demonstrations and protests on geographical spaces. Finally, the dynamics of change through Arabian Revolutions are a complex matter due to the vicious circle between the authoritarian or Islamic

A hybrid organic-inorganic perovskite dataset

Science.gov (United States)

Kim, Chiho; Huan, Tran Doan; Krishnan, Sridevi; Ramprasad, Rampi

2017-05-01

Hybrid organic-inorganic perovskites (HOIPs) have been attracting a great deal of attention due to their versatility of electronic properties and fabrication methods. We prepare a dataset of 1,346 HOIPs, which features 16 organic cations, 3 group-IV cations and 4 halide anions. Using a combination of an atomic structure search method and density functional theory calculations, the optimized structures, the bandgap, the dielectric constant, and the relative energies of the HOIPs are uniformly prepared and validated by comparing with relevant experimental and/or theoretical data. We make the dataset available at Dryad Digital Repository, NoMaD Repository, and Khazana Repository (http://khazana.uconn.edu/), hoping that it could be useful for future data-mining efforts that can explore possible structure-property relationships and phenomenological models. Progressive extension of the dataset is expected as new organic cations become appropriate within the HOIP framework, and as additional properties are calculated for the new compounds found.

Genomics dataset of unidentified disclosed isolates

Directory of Open Access Journals (Sweden)

Bhagwan N. Rekadwad

2016-09-01

Full Text Available Analysis of DNA sequences is necessary for higher hierarchical classification of the organisms. It gives clues about the characteristics of organisms and their taxonomic position. This dataset is chosen to find complexities in the unidentified DNA in the disclosed patents. A total of 17 unidentified DNA sequences were thoroughly analyzed. The quick response codes were generated. AT/GC content of the DNA sequences analysis was carried out. The QR is helpful for quick identification of isolates. AT/GC content is helpful for studying their stability at different temperatures. Additionally, a dataset on cleavage code and enzyme code studied under the restriction digestion study, which helpful for performing studies using short DNA sequences was reported. The dataset disclosed here is the new revelatory data for exploration of unique DNA sequences for evaluation, identification, comparison and analysis. Keywords: BioLABs, Blunt ends, Genomics, NEB cutter, Restriction digestion, Short DNA sequences, Sticky ends

IPCC Socio-Economic Baseline Dataset

Data.gov (United States)

National Aeronautics and Space Administration — The Intergovernmental Panel on Climate Change (IPCC) Socio-Economic Baseline Dataset consists of population, human development, economic, water resources, land...

The LANDFIRE Refresh strategy: updating the national dataset

Science.gov (United States)

Nelson, Kurtis J.; Connot, Joel A.; Peterson, Birgit E.; Martin, Charley

2013-01-01

The LANDFIRE Program provides comprehensive vegetation and fuel datasets for the entire United States. As with many large-scale ecological datasets, vegetation and landscape conditions must be updated periodically to account for disturbances, growth, and natural succession. The LANDFIRE Refresh effort was the first attempt to consistently update these products nationwide. It incorporated a combination of specific systematic improvements to the original LANDFIRE National data, remote sensing based disturbance detection methods, field collected disturbance information, vegetation growth and succession modeling, and vegetation transition processes. This resulted in the creation of two complete datasets for all 50 states: LANDFIRE Refresh 2001, which includes the systematic improvements, and LANDFIRE Refresh 2008, which includes the disturbance and succession updates to the vegetation and fuel data. The new datasets are comparable for studying landscape changes in vegetation type and structure over a decadal period, and provide the most recent characterization of fuel conditions across the country. The applicability of the new layers is discussed and the effects of using the new fuel datasets are demonstrated through a fire behavior modeling exercise using the 2011 Wallow Fire in eastern Arizona as an example.

Omicseq: a web-based search engine for exploring omics datasets

Science.gov (United States)

Sun, Xiaobo; Pittard, William S.; Xu, Tianlei; Chen, Li; Zwick, Michael E.; Jiang, Xiaoqian; Wang, Fusheng

2017-01-01

Abstract The development and application of high-throughput genomics technologies has resulted in massive quantities of diverse omics data that continue to accumulate rapidly. These rich datasets offer unprecedented and exciting opportunities to address long standing questions in biomedical research. However, our ability to explore and query the content of diverse omics data is very limited. Existing dataset search tools rely almost exclusively on the metadata. A text-based query for gene name(s) does not work well on datasets wherein the vast majority of their content is numeric. To overcome this barrier, we have developed Omicseq, a novel web-based platform that facilitates the easy interrogation of omics datasets holistically to improve ‘findability’ of relevant data. The core component of Omicseq is trackRank, a novel algorithm for ranking omics datasets that fully uses the numerical content of the dataset to determine relevance to the query entity. The Omicseq system is supported by a scalable and elastic, NoSQL database that hosts a large collection of processed omics datasets. In the front end, a simple, web-based interface allows users to enter queries and instantly receive search results as a list of ranked datasets deemed to be the most relevant. Omicseq is freely available at http://www.omicseq.org. PMID:28402462

Nanoparticle-organic pollutant interaction dataset

Data.gov (United States)

U.S. Environmental Protection Agency — Dataset presents concentrations of organic pollutants, such as polyaromatic hydrocarbon compounds, in water samples. Water samples of known volume and concentration...

Las versiones homericas Las versiones homericas

Directory of Open Access Journals (Sweden)

Jorge Luis Borges

2008-04-01

Full Text Available Ningún problema tan consustancial con las letras con su modesto misterio como el que propone una traducción. Un olvido animal por la vanidad, el tenor de confesar procesos mentales que adivinamos peligrosamente comunes, el conato de mantener intacta y central una reserve incalculable de sombre, velan las tales escrituras directas. La traducciOn, en cambio, parece destinada a ilustrar la discusión estitica. El modelo propuesto a su imitaciOn es un texto visible, no un labirint° inestimable de proyectos preteritos o la acatada tentaciOn momentanea de una facilidad. Bertrand Russell define un objeto extern( como un sistema circular, irradiante, de impresiones posibles; lo mismo puede aseverarse de un texto, dadas las repercusiones incalculables de lo verbal. Un parcial y precioso documento de las vicisitudes que sufre queda en sus traducciones.

Framework for Interactive Parallel Dataset Analysis on the Grid

Energy Technology Data Exchange (ETDEWEB)

Alexander, David A.; Ananthan, Balamurali; /Tech-X Corp.; Johnson, Tony; Serbo, Victor; /SLAC

2007-01-10

We present a framework for use at a typical Grid site to facilitate custom interactive parallel dataset analysis targeting terabyte-scale datasets of the type typically produced by large multi-institutional science experiments. We summarize the needs for interactive analysis and show a prototype solution that satisfies those needs. The solution consists of desktop client tool and a set of Web Services that allow scientists to sign onto a Grid site, compose analysis script code to carry out physics analysis on datasets, distribute the code and datasets to worker nodes, collect the results back to the client, and to construct professional-quality visualizations of the results.

Large-scale Labeled Datasets to Fuel Earth Science Deep Learning Applications

Science.gov (United States)

Maskey, M.; Ramachandran, R.; Miller, J.

2017-12-01

Deep learning has revolutionized computer vision and natural language processing with various algorithms scaled using high-performance computing. However, generic large-scale labeled datasets such as the ImageNet are the fuel that drives the impressive accuracy of deep learning results. Large-scale labeled datasets already exist in domains such as medical science, but creating them in the Earth science domain is a challenge. While there are ways to apply deep learning using limited labeled datasets, there is a need in the Earth sciences for creating large-scale labeled datasets for benchmarking and scaling deep learning applications. At the NASA Marshall Space Flight Center, we are using deep learning for a variety of Earth science applications where we have encountered the need for large-scale labeled datasets. We will discuss our approaches for creating such datasets and why these datasets are just as valuable as deep learning algorithms. We will also describe successful usage of these large-scale labeled datasets with our deep learning based applications.

An Affinity Propagation Clustering Algorithm for Mixed Numeric and Categorical Datasets

Directory of Open Access Journals (Sweden)

Kang Zhang

2014-01-01

Full Text Available Clustering has been widely used in different fields of science, technology, social science, and so forth. In real world, numeric as well as categorical features are usually used to describe the data objects. Accordingly, many clustering methods can process datasets that are either numeric or categorical. Recently, algorithms that can handle the mixed data clustering problems have been developed. Affinity propagation (AP algorithm is an exemplar-based clustering method which has demonstrated good performance on a wide variety of datasets. However, it has limitations on processing mixed datasets. In this paper, we propose a novel similarity measure for mixed type datasets and an adaptive AP clustering algorithm is proposed to cluster the mixed datasets. Several real world datasets are studied to evaluate the performance of the proposed algorithm. Comparisons with other clustering algorithms demonstrate that the proposed method works well not only on mixed datasets but also on pure numeric and categorical datasets.

Using Multiple Big Datasets and Machine Learning to Produce a New Global Particulate Dataset: A Technology Challenge Case Study

Science.gov (United States)

Lary, D. J.

2013-12-01

A BigData case study is described where multiple datasets from several satellites, high-resolution global meteorological data, social media and in-situ observations are combined using machine learning on a distributed cluster using an automated workflow. The global particulate dataset is relevant to global public health studies and would not be possible to produce without the use of the multiple big datasets, in-situ data and machine learning.To greatly reduce the development time and enhance the functionality a high level language capable of parallel processing has been used (Matlab). A key consideration for the system is high speed access due to the large data volume, persistence of the large data volumes and a precise process time scheduling capability.

Chemical product and function dataset

Data.gov (United States)

U.S. Environmental Protection Agency — Merged product weight fraction and chemical function data. This dataset is associated with the following publication: Isaacs , K., M. Goldsmith, P. Egeghy , K....

General Purpose Multimedia Dataset - GarageBand 2008

DEFF Research Database (Denmark)

Meng, Anders

This document describes a general purpose multimedia data-set to be used in cross-media machine learning problems. In more detail we describe the genre taxonomy applied at http://www.garageband.com, from where the data-set was collected, and how the taxonomy have been fused into a more human...... understandable taxonomy. Finally, a description of various features extracted from both the audio and text are presented....

Omicseq: a web-based search engine for exploring omics datasets.

Science.gov (United States)

Sun, Xiaobo; Pittard, William S; Xu, Tianlei; Chen, Li; Zwick, Michael E; Jiang, Xiaoqian; Wang, Fusheng; Qin, Zhaohui S

2017-07-03

The development and application of high-throughput genomics technologies has resulted in massive quantities of diverse omics data that continue to accumulate rapidly. These rich datasets offer unprecedented and exciting opportunities to address long standing questions in biomedical research. However, our ability to explore and query the content of diverse omics data is very limited. Existing dataset search tools rely almost exclusively on the metadata. A text-based query for gene name(s) does not work well on datasets wherein the vast majority of their content is numeric. To overcome this barrier, we have developed Omicseq, a novel web-based platform that facilitates the easy interrogation of omics datasets holistically to improve 'findability' of relevant data. The core component of Omicseq is trackRank, a novel algorithm for ranking omics datasets that fully uses the numerical content of the dataset to determine relevance to the query entity. The Omicseq system is supported by a scalable and elastic, NoSQL database that hosts a large collection of processed omics datasets. In the front end, a simple, web-based interface allows users to enter queries and instantly receive search results as a list of ranked datasets deemed to be the most relevant. Omicseq is freely available at http://www.omicseq.org. © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research.

Quantifying uncertainty in observational rainfall datasets

Science.gov (United States)

Lennard, Chris; Dosio, Alessandro; Nikulin, Grigory; Pinto, Izidine; Seid, Hussen

2015-04-01

The CO-ordinated Regional Downscaling Experiment (CORDEX) has to date seen the publication of at least ten journal papers that examine the African domain during 2012 and 2013. Five of these papers consider Africa generally (Nikulin et al. 2012, Kim et al. 2013, Hernandes-Dias et al. 2013, Laprise et al. 2013, Panitz et al. 2013) and five have regional foci: Tramblay et al. (2013) on Northern Africa, Mariotti et al. (2014) and Gbobaniyi el al. (2013) on West Africa, Endris et al. (2013) on East Africa and Kalagnoumou et al. (2013) on southern Africa. There also are a further three papers that the authors know about under review. These papers all use an observed rainfall and/or temperature data to evaluate/validate the regional model output and often proceed to assess projected changes in these variables due to climate change in the context of these observations. The most popular reference rainfall data used are the CRU, GPCP, GPCC, TRMM and UDEL datasets. However, as Kalagnoumou et al. (2013) point out there are many other rainfall datasets available for consideration, for example, CMORPH, FEWS, TAMSAT & RIANNAA, TAMORA and the WATCH & WATCH-DEI data. They, with others (Nikulin et al. 2012, Sylla et al. 2012) show that the observed datasets can have a very wide spread at a particular space-time coordinate. As more ground, space and reanalysis-based rainfall products become available, all which use different methods to produce precipitation data, the selection of reference data is becoming an important factor in model evaluation. A number of factors can contribute to a uncertainty in terms of the reliability and validity of the datasets such as radiance conversion algorithims, the quantity and quality of available station data, interpolation techniques and blending methods used to combine satellite and guage based products. However, to date no comprehensive study has been performed to evaluate the uncertainty in these observational datasets. We assess 18 gridded

Turkey Run Landfill Emissions Dataset

Data.gov (United States)

U.S. Environmental Protection Agency — landfill emissions measurements for the Turkey run landfill in Georgia. This dataset is associated with the following publication: De la Cruz, F., R. Green, G....

Topic modeling for cluster analysis of large biological and medical datasets.

Science.gov (United States)

Zhao, Weizhong; Zou, Wen; Chen, James J

2014-01-01

The big data moniker is nowhere better deserved than to describe the ever-increasing prodigiousness and complexity of biological and medical datasets. New methods are needed to generate and test hypotheses, foster biological interpretation, and build validated predictors. Although multivariate techniques such as cluster analysis may allow researchers to identify groups, or clusters, of related variables, the accuracies and effectiveness of traditional clustering methods diminish for large and hyper dimensional datasets. Topic modeling is an active research field in machine learning and has been mainly used as an analytical tool to structure large textual corpora for data mining. Its ability to reduce high dimensionality to a small number of latent variables makes it suitable as a means for clustering or overcoming clustering difficulties in large biological and medical datasets. In this study, three topic model-derived clustering methods, highest probable topic assignment, feature selection and feature extraction, are proposed and tested on the cluster analysis of three large datasets: Salmonella pulsed-field gel electrophoresis (PFGE) dataset, lung cancer dataset, and breast cancer dataset, which represent various types of large biological or medical datasets. All three various methods are shown to improve the efficacy/effectiveness of clustering results on the three datasets in comparison to traditional methods. A preferable cluster analysis method emerged for each of the three datasets on the basis of replicating known biological truths. Topic modeling could be advantageously applied to the large datasets of biological or medical research. The three proposed topic model-derived clustering methods, highest probable topic assignment, feature selection and feature extraction, yield clustering improvements for the three different data types. Clusters more efficaciously represent truthful groupings and subgroupings in the data than traditional methods, suggesting

An Analysis of the GTZAN Music Genre Dataset

DEFF Research Database (Denmark)

Sturm, Bob L.

2012-01-01

Most research in automatic music genre recognition has used the dataset assembled by Tzanetakis et al. in 2001. The composition and integrity of this dataset, however, has never been formally analyzed. For the first time, we provide an analysis of its composition, and create a machine...

Dataset definition for CMS operations and physics analyses

Science.gov (United States)

Franzoni, Giovanni; Compact Muon Solenoid Collaboration

2016-04-01

Data recorded at the CMS experiment are funnelled into streams, integrated in the HLT menu, and further organised in a hierarchical structure of primary datasets and secondary datasets/dedicated skims. Datasets are defined according to the final-state particles reconstructed by the high level trigger, the data format and the use case (physics analysis, alignment and calibration, performance studies). During the first LHC run, new workflows have been added to this canonical scheme, to exploit at best the flexibility of the CMS trigger and data acquisition systems. The concepts of data parking and data scouting have been introduced to extend the physics reach of CMS, offering the opportunity of defining physics triggers with extremely loose selections (e.g. dijet resonance trigger collecting data at a 1 kHz). In this presentation, we review the evolution of the dataset definition during the LHC run I, and we discuss the plans for the run II.

Dataset definition for CMS operations and physics analyses

CERN Document Server

AUTHOR|(CDS)2051291

2016-01-01

Data recorded at the CMS experiment are funnelled into streams, integrated in the HLT menu, and further organised in a hierarchical structure of primary datasets, secondary datasets, and dedicated skims. Datasets are defined according to the final-state particles reconstructed by the high level trigger, the data format and the use case (physics analysis, alignment and calibration, performance studies). During the first LHC run, new workflows have been added to this canonical scheme, to exploit at best the flexibility of the CMS trigger and data acquisition systems. The concept of data parking and data scouting have been introduced to extend the physics reach of CMS, offering the opportunity of defining physics triggers with extremely loose selections (e.g. dijet resonance trigger collecting data at a 1 kHz). In this presentation, we review the evolution of the dataset definition during the first run, and we discuss the plans for the second LHC run.

Dataset of NRDA emission data

Data.gov (United States)

U.S. Environmental Protection Agency — Emissions data from open air oil burns. This dataset is associated with the following publication: Gullett, B., J. Aurell, A. Holder, B. Mitchell, D. Greenwell, M....

Medical Image Data and Datasets in the Era of Machine Learning-Whitepaper from the 2016 C-MIMI Meeting Dataset Session.

Science.gov (United States)

Kohli, Marc D; Summers, Ronald M; Geis, J Raymond

2017-08-01

At the first annual Conference on Machine Intelligence in Medical Imaging (C-MIMI), held in September 2016, a conference session on medical image data and datasets for machine learning identified multiple issues. The common theme from attendees was that everyone participating in medical image evaluation with machine learning is data starved. There is an urgent need to find better ways to collect, annotate, and reuse medical imaging data. Unique domain issues with medical image datasets require further study, development, and dissemination of best practices and standards, and a coordinated effort among medical imaging domain experts, medical imaging informaticists, government and industry data scientists, and interested commercial, academic, and government entities. High-level attributes of reusable medical image datasets suitable to train, test, validate, verify, and regulate ML products should be better described. NIH and other government agencies should promote and, where applicable, enforce, access to medical image datasets. We should improve communication among medical imaging domain experts, medical imaging informaticists, academic clinical and basic science researchers, government and industry data scientists, and interested commercial entities.

Discovery and Reuse of Open Datasets: An Exploratory Study

Directory of Open Access Journals (Sweden)

Sara

2016-07-01

Full Text Available Objective: This article analyzes twenty cited or downloaded datasets and the repositories that house them, in order to produce insights that can be used by academic libraries to encourage discovery and reuse of research data in institutional repositories. Methods: Using Thomson Reuters’ Data Citation Index and repository download statistics, we identified twenty cited/downloaded datasets. We documented the characteristics of the cited/downloaded datasets and their corresponding repositories in a self-designed rubric. The rubric includes six major categories: basic information; funding agency and journal information; linking and sharing; factors to encourage reuse; repository characteristics; and data description. Results: Our small-scale study suggests that cited/downloaded datasets generally comply with basic recommendations for facilitating reuse: data are documented well; formatted for use with a variety of software; and shared in established, open access repositories. Three significant factors also appear to contribute to dataset discovery: publishing in discipline-specific repositories; indexing in more than one location on the web; and using persistent identifiers. The cited/downloaded datasets in our analysis came from a few specific disciplines, and tended to be funded by agencies with data publication mandates. Conclusions: The results of this exploratory research provide insights that can inform academic librarians as they work to encourage discovery and reuse of institutional datasets. Our analysis also suggests areas in which academic librarians can target open data advocacy in their communities in order to begin to build open data success stories that will fuel future advocacy efforts.

Las lenguas en las sociedades del conocimiento

Directory of Open Access Journals (Sweden)

Álvarez, J. Francisco

2008-12-01

Full Text Available Languages become a strategic resource for information and knowledge societies. By expressing and sharing knowledge by means of languages, every culture generates deposits of knowledge, which can be transferred and exchanged among different epistemic communities. The contemporary technologies of information and communication have changed the structure of knowledge flows. Globalization of knowledge poses a great challenge to every language, including the Spanish one. In order to survive in the digital world, they should develop technolanguages. The lemma “Thinking in Spanish” implies a new model of governance for the Ibero-American knowledge communities.En las sociedades de la información y el conocimiento las lenguas se convierten en un recurso estratégico. Al expresar y compartir conocimiento por medio de los idiomas, las culturas generan yacimientos de conocimiento, que pueden ser transferidos e intercambiados entre comunidades epistémicas diferentes. Las actuales tecnologías de la información y la comunicación han cambiado la estructura de los flujos de conocimiento. La globalización del conocimiento plantea un gran desafío a todas las lenguas, incluyendo la española. Para sobrevivir en el mundo digital, los lenguajes han de convertirse en tecnolenguajes. El lema “Pensar en español” aporta un nuevo modelo de gobernanza para las comunidades iberoamericanas del conocimiento.

Visualization of conserved structures by fusing highly variable datasets.

Science.gov (United States)

Silverstein, Jonathan C; Chhadia, Ankur; Dech, Fred

2002-01-01

Skill, effort, and time are required to identify and visualize anatomic structures in three-dimensions from radiological data. Fundamentally, automating these processes requires a technique that uses symbolic information not in the dynamic range of the voxel data. We were developing such a technique based on mutual information for automatic multi-modality image fusion (MIAMI Fuse, University of Michigan). This system previously demonstrated facility at fusing one voxel dataset with integrated symbolic structure information to a CT dataset (different scale and resolution) from the same person. The next step of development of our technique was aimed at accommodating the variability of anatomy from patient to patient by using warping to fuse our standard dataset to arbitrary patient CT datasets. A standard symbolic information dataset was created from the full color Visible Human Female by segmenting the liver parenchyma, portal veins, and hepatic veins and overwriting each set of voxels with a fixed color. Two arbitrarily selected patient CT scans of the abdomen were used for reference datasets. We used the warping functions in MIAMI Fuse to align the standard structure data to each patient scan. The key to successful fusion was the focused use of multiple warping control points that place themselves around the structure of interest automatically. The user assigns only a few initial control points to align the scans. Fusion 1 and 2 transformed the atlas with 27 points around the liver to CT1 and CT2 respectively. Fusion 3 transformed the atlas with 45 control points around the liver to CT1 and Fusion 4 transformed the atlas with 5 control points around the portal vein. The CT dataset is augmented with the transformed standard structure dataset, such that the warped structure masks are visualized in combination with the original patient dataset. This combined volume visualization is then rendered interactively in stereo on the ImmersaDesk in an immersive Virtual

An Annotated Dataset of 14 Cardiac MR Images

DEFF Research Database (Denmark)

Stegmann, Mikkel Bille

2002-01-01

This note describes a dataset consisting of 14 annotated cardiac MR images. Points of correspondence are placed on each image at the left ventricle (LV). As such, the dataset can be readily used for building statistical models of shape. Further, format specifications and terms of use are given....

Dataset - Adviesregel PPL 2010

NARCIS (Netherlands)

Evert, van F.K.; Schans, van der D.A.; Geel, van W.C.A.; Slabbekoorn, J.J.; Booij, R.; Jukema, J.N.; Meurs, E.J.J.; Uenk, D.

2011-01-01

This dataset contains experimental data from a number of field experiments with potato in The Netherlands (Van Evert et al., 2011). The data are presented as an SQL dump of a PostgreSQL database (version 8.4.4). An outline of the entity-relationship diagram of the database is given in an

Tension in the recent Type Ia supernovae datasets

International Nuclear Information System (INIS)

Wei, Hao

2010-01-01

In the present work, we investigate the tension in the recent Type Ia supernovae (SNIa) datasets Constitution and Union. We show that they are in tension not only with the observations of the cosmic microwave background (CMB) anisotropy and the baryon acoustic oscillations (BAO), but also with other SNIa datasets such as Davis and SNLS. Then, we find the main sources responsible for the tension. Further, we make this more robust by employing the method of random truncation. Based on the results of this work, we suggest two truncated versions of the Union and Constitution datasets, namely the UnionT and ConstitutionT SNIa samples, whose behaviors are more regular.

Viability of Controlling Prosthetic Hand Utilizing Electroencephalograph (EEG) Dataset Signal

Science.gov (United States)

Miskon, Azizi; A/L Thanakodi, Suresh; Raihan Mazlan, Mohd; Mohd Haziq Azhar, Satria; Nooraya Mohd Tawil, Siti

2016-11-01

This project presents the development of an artificial hand controlled by Electroencephalograph (EEG) signal datasets for the prosthetic application. The EEG signal datasets were used as to improvise the way to control the prosthetic hand compared to the Electromyograph (EMG). The EMG has disadvantages to a person, who has not used the muscle for a long time and also to person with degenerative issues due to age factor. Thus, the EEG datasets found to be an alternative for EMG. The datasets used in this work were taken from Brain Computer Interface (BCI) Project. The datasets were already classified for open, close and combined movement operations. It served the purpose as an input to control the prosthetic hand by using an Interface system between Microsoft Visual Studio and Arduino. The obtained results reveal the prosthetic hand to be more efficient and faster in response to the EEG datasets with an additional LiPo (Lithium Polymer) battery attached to the prosthetic. Some limitations were also identified in terms of the hand movements, weight of the prosthetic, and the suggestions to improve were concluded in this paper. Overall, the objective of this paper were achieved when the prosthetic hand found to be feasible in operation utilizing the EEG datasets.

Las TIC como fuente de ventaja competitiva en las PYMES

Directory of Open Access Journals (Sweden)

Álvaro Fernando Moncada Niño

2013-06-01

Full Text Available Desde su aparición, las Tecnologías de la Información y las Comunicaciones (TIC se han convertido en un recurso fundamental de las empresas para competir en la mayoría de las industrias, generalizando el planteamiento de que son fuente de ventaja competitiva. Pero realmente, ¿cuándo las TIC son fuente potencial de ventaja competitiva para las pymes? ¿Bajo qué condiciones se logra que contribuyan a generar valor y mejorar su posición competitiva? ¿Qué características deben cumplir para alcanzar y sustentar la Ventaja Competitiva? Este documento basado en la Teoría de los Recursos y Capacidades (TRC responde estas preguntas y presenta al análisis de recurso Valioso, Raro, Inimitable y Organización (VRIO como herramienta para la determinación del potencial y valor que las TIC pueden alcanzar en las pymes y cómo pueden contribuir a que la empresa alcance ventajas competitivas sostenibles, en complemento de sus recursos y capacidades organizacionales.

Las TIC como fuente de ventaja competitiva en las PYMES

Directory of Open Access Journals (Sweden)

Álvaro Fernando Moncada Niño

2013-07-01

Full Text Available Desde su aparición, las Tecnologías de la Información y las Comunicaciones (TIC se han convertido en un recurso fundamental de las empresas para competir en la mayoría de las industrias, generalizando el planteamiento de que son fuente de ventaja competitiva. Pero realmente, ¿cuándo las TIC son fuente potencial de ventaja competitiva para las pymes? ¿Bajo qué condiciones se logra que contribuyan a generar valor y mejorar su posición competitiva? ¿Qué características deben cumplir para alcanzar y sustentar la Ventaja Competitiva? Este documento basado en la Teoría de los Recursos y Capacidades (TRC responde estas preguntas y presenta al análisis de recurso Valioso, Raro, Inimitable y Organización (VRIO como herramienta para la determinación del potencial y valor que las TIC pueden alcanzar en las pymes y cómo pueden contribuir a que la empresa alcance ventajas competitivas sostenibles, en complemento de sus recursos y capacidades organizacionales.

Technical note: An inorganic water chemistry dataset (1972–2011 ...

African Journals Online (AJOL)

A national dataset of inorganic chemical data of surface waters (rivers, lakes, and dams) in South Africa is presented and made freely available. The dataset comprises more than 500 000 complete water analyses from 1972 up to 2011, collected from more than 2 000 sample monitoring stations in South Africa. The dataset ...

Relaciones amorosas de pareja en las trayectorias vitales de las mujeres encarceladas

OpenAIRE

De Miguel Calvo, Estibaliz

2012-01-01

[ES]La tesis doctoral analiza las experiencias amorosas de pareja de mujeres encarceladas, con el doble objetivo de visibilizar a las mujeres presas en el ámbito de las ciencias sociales y de introducir las especificidades de las mujeres encarceladas en los debates sociológicos y feministas acerca del amor. Las escasas aproximaciones al amor entre las mujeres presas han tendido a explicar sus relaciones de pareja desde el concepto de “depende...

Wind and wave dataset for Matara, Sri Lanka

Science.gov (United States)

Luo, Yao; Wang, Dongxiao; Priyadarshana Gamage, Tilak; Zhou, Fenghua; Madusanka Widanage, Charith; Liu, Taiwei

2018-01-01

We present a continuous in situ hydro-meteorology observational dataset from a set of instruments first deployed in December 2012 in the south of Sri Lanka, facing toward the north Indian Ocean. In these waters, simultaneous records of wind and wave data are sparse due to difficulties in deploying measurement instruments, although the area hosts one of the busiest shipping lanes in the world. This study describes the survey, deployment, and measurements of wind and waves, with the aim of offering future users of the dataset the most comprehensive and as much information as possible. This dataset advances our understanding of the nearshore hydrodynamic processes and wave climate, including sea waves and swells, in the north Indian Ocean. Moreover, it is a valuable resource for ocean model parameterization and validation. The archived dataset (Table 1) is examined in detail, including wave data at two locations with water depths of 20 and 10 m comprising synchronous time series of wind, ocean astronomical tide, air pressure, etc. In addition, we use these wave observations to evaluate the ERA-Interim reanalysis product. Based on Buoy 2 data, the swells are the main component of waves year-round, although monsoons can markedly alter the proportion between swell and wind sea. The dataset (Luo et al., 2017) is publicly available from Science Data Bank (https://doi.org/10.11922/sciencedb.447).

Wind and wave dataset for Matara, Sri Lanka

Directory of Open Access Journals (Sweden)

Y. Luo

2018-01-01

Full Text Available We present a continuous in situ hydro-meteorology observational dataset from a set of instruments first deployed in December 2012 in the south of Sri Lanka, facing toward the north Indian Ocean. In these waters, simultaneous records of wind and wave data are sparse due to difficulties in deploying measurement instruments, although the area hosts one of the busiest shipping lanes in the world. This study describes the survey, deployment, and measurements of wind and waves, with the aim of offering future users of the dataset the most comprehensive and as much information as possible. This dataset advances our understanding of the nearshore hydrodynamic processes and wave climate, including sea waves and swells, in the north Indian Ocean. Moreover, it is a valuable resource for ocean model parameterization and validation. The archived dataset (Table 1 is examined in detail, including wave data at two locations with water depths of 20 and 10 m comprising synchronous time series of wind, ocean astronomical tide, air pressure, etc. In addition, we use these wave observations to evaluate the ERA-Interim reanalysis product. Based on Buoy 2 data, the swells are the main component of waves year-round, although monsoons can markedly alter the proportion between swell and wind sea. The dataset (Luo et al., 2017 is publicly available from Science Data Bank (https://doi.org/10.11922/sciencedb.447.

Heuristics for Relevancy Ranking of Earth Dataset Search Results

Science.gov (United States)

Lynnes, Christopher; Quinn, Patrick; Norton, James

2016-01-01

As the Variety of Earth science datasets increases, science researchers find it more challenging to discover and select the datasets that best fit their needs. The most common way of search providers to address this problem is to rank the datasets returned for a query by their likely relevance to the user. Large web page search engines typically use text matching supplemented with reverse link counts, semantic annotations and user intent modeling. However, this produces uneven results when applied to dataset metadata records simply externalized as a web page. Fortunately, data and search provides have decades of experience in serving data user communities, allowing them to form heuristics that leverage the structure in the metadata together with knowledge about the user community. Some of these heuristics include specific ways of matching the user input to the essential measurements in the dataset and determining overlaps of time range and spatial areas. Heuristics based on the novelty of the datasets can prioritize later, better versions of data over similar predecessors. And knowledge of how different user types and communities use data can be brought to bear in cases where characteristics of the user (discipline, expertise) or their intent (applications, research) can be divined. The Earth Observing System Data and Information System has begun implementing some of these heuristics in the relevancy algorithm of its Common Metadata Repository search engine.

QSAR ligand dataset for modelling mutagenicity, genotoxicity, and rodent carcinogenicity

Directory of Open Access Journals (Sweden)

Davy Guan

2018-04-01

Full Text Available Five datasets were constructed from ligand and bioassay result data from the literature. These datasets include bioassay results from the Ames mutagenicity assay, Greenscreen GADD-45a-GFP assay, Syrian Hamster Embryo (SHE assay, and 2 year rat carcinogenicity assay results. These datasets provide information about chemical mutagenicity, genotoxicity and carcinogenicity.

The Dataset of Countries at Risk of Electoral Violence

OpenAIRE

Birch, Sarah; Muchlinski, David

2017-01-01

Electoral violence is increasingly affecting elections around the world, yet researchers have been limited by a paucity of granular data on this phenomenon. This paper introduces and describes a new dataset of electoral violence – the Dataset of Countries at Risk of Electoral Violence (CREV) – that provides measures of 10 different types of electoral violence across 642 elections held around the globe between 1995 and 2013. The paper provides a detailed account of how and why the dataset was ...

Towards interoperable and reproducible QSAR analyses: Exchange of datasets.

Science.gov (United States)

Spjuth, Ola; Willighagen, Egon L; Guha, Rajarshi; Eklund, Martin; Wikberg, Jarl Es

2010-06-30

QSAR is a widely used method to relate chemical structures to responses or properties based on experimental observations. Much effort has been made to evaluate and validate the statistical modeling in QSAR, but these analyses treat the dataset as fixed. An overlooked but highly important issue is the validation of the setup of the dataset, which comprises addition of chemical structures as well as selection of descriptors and software implementations prior to calculations. This process is hampered by the lack of standards and exchange formats in the field, making it virtually impossible to reproduce and validate analyses and drastically constrain collaborations and re-use of data. We present a step towards standardizing QSAR analyses by defining interoperable and reproducible QSAR datasets, consisting of an open XML format (QSAR-ML) which builds on an open and extensible descriptor ontology. The ontology provides an extensible way of uniquely defining descriptors for use in QSAR experiments, and the exchange format supports multiple versioned implementations of these descriptors. Hence, a dataset described by QSAR-ML makes its setup completely reproducible. We also provide a reference implementation as a set of plugins for Bioclipse which simplifies setup of QSAR datasets, and allows for exporting in QSAR-ML as well as old-fashioned CSV formats. The implementation facilitates addition of new descriptor implementations from locally installed software and remote Web services; the latter is demonstrated with REST and XMPP Web services. Standardized QSAR datasets open up new ways to store, query, and exchange data for subsequent analyses. QSAR-ML supports completely reproducible creation of datasets, solving the problems of defining which software components were used and their versions, and the descriptor ontology eliminates confusions regarding descriptors by defining them crisply. This makes is easy to join, extend, combine datasets and hence work collectively, but

Towards interoperable and reproducible QSAR analyses: Exchange of datasets

Directory of Open Access Journals (Sweden)

Spjuth Ola

2010-06-01

Full Text Available Abstract Background QSAR is a widely used method to relate chemical structures to responses or properties based on experimental observations. Much effort has been made to evaluate and validate the statistical modeling in QSAR, but these analyses treat the dataset as fixed. An overlooked but highly important issue is the validation of the setup of the dataset, which comprises addition of chemical structures as well as selection of descriptors and software implementations prior to calculations. This process is hampered by the lack of standards and exchange formats in the field, making it virtually impossible to reproduce and validate analyses and drastically constrain collaborations and re-use of data. Results We present a step towards standardizing QSAR analyses by defining interoperable and reproducible QSAR datasets, consisting of an open XML format (QSAR-ML which builds on an open and extensible descriptor ontology. The ontology provides an extensible way of uniquely defining descriptors for use in QSAR experiments, and the exchange format supports multiple versioned implementations of these descriptors. Hence, a dataset described by QSAR-ML makes its setup completely reproducible. We also provide a reference implementation as a set of plugins for Bioclipse which simplifies setup of QSAR datasets, and allows for exporting in QSAR-ML as well as old-fashioned CSV formats. The implementation facilitates addition of new descriptor implementations from locally installed software and remote Web services; the latter is demonstrated with REST and XMPP Web services. Conclusions Standardized QSAR datasets open up new ways to store, query, and exchange data for subsequent analyses. QSAR-ML supports completely reproducible creation of datasets, solving the problems of defining which software components were used and their versions, and the descriptor ontology eliminates confusions regarding descriptors by defining them crisply. This makes is easy to join

VideoWeb Dataset for Multi-camera Activities and Non-verbal Communication

Science.gov (United States)

Denina, Giovanni; Bhanu, Bir; Nguyen, Hoang Thanh; Ding, Chong; Kamal, Ahmed; Ravishankar, Chinya; Roy-Chowdhury, Amit; Ivers, Allen; Varda, Brenda

Human-activity recognition is one of the most challenging problems in computer vision. Researchers from around the world have tried to solve this problem and have come a long way in recognizing simple motions and atomic activities. As the computer vision community heads toward fully recognizing human activities, a challenging and labeled dataset is needed. To respond to that need, we collected a dataset of realistic scenarios in a multi-camera network environment (VideoWeb) involving multiple persons performing dozens of different repetitive and non-repetitive activities. This chapter describes the details of the dataset. We believe that this VideoWeb Activities dataset is unique and it is one of the most challenging datasets available today. The dataset is publicly available online at http://vwdata.ee.ucr.edu/ along with the data annotation.

Toward computational cumulative biology by combining models of biological datasets.

Science.gov (United States)

Faisal, Ali; Peltonen, Jaakko; Georgii, Elisabeth; Rung, Johan; Kaski, Samuel

2014-01-01

A main challenge of data-driven sciences is how to make maximal use of the progressively expanding databases of experimental datasets in order to keep research cumulative. We introduce the idea of a modeling-based dataset retrieval engine designed for relating a researcher's experimental dataset to earlier work in the field. The search is (i) data-driven to enable new findings, going beyond the state of the art of keyword searches in annotations, (ii) modeling-driven, to include both biological knowledge and insights learned from data, and (iii) scalable, as it is accomplished without building one unified grand model of all data. Assuming each dataset has been modeled beforehand, by the researchers or automatically by database managers, we apply a rapidly computable and optimizable combination model to decompose a new dataset into contributions from earlier relevant models. By using the data-driven decomposition, we identify a network of interrelated datasets from a large annotated human gene expression atlas. While tissue type and disease were major driving forces for determining relevant datasets, the found relationships were richer, and the model-based search was more accurate than the keyword search; moreover, it recovered biologically meaningful relationships that are not straightforwardly visible from annotations-for instance, between cells in different developmental stages such as thymocytes and T-cells. Data-driven links and citations matched to a large extent; the data-driven links even uncovered corrections to the publication data, as two of the most linked datasets were not highly cited and turned out to have wrong publication entries in the database.

3DSEM: A 3D microscopy dataset

Directory of Open Access Journals (Sweden)

Ahmad P. Tafti

2016-03-01

Full Text Available The Scanning Electron Microscope (SEM as a 2D imaging instrument has been widely used in many scientific disciplines including biological, mechanical, and materials sciences to determine the surface attributes of microscopic objects. However the SEM micrographs still remain 2D images. To effectively measure and visualize the surface properties, we need to truly restore the 3D shape model from 2D SEM images. Having 3D surfaces would provide anatomic shape of micro-samples which allows for quantitative measurements and informative visualization of the specimens being investigated. The 3DSEM is a dataset for 3D microscopy vision which is freely available at [1] for any academic, educational, and research purposes. The dataset includes both 2D images and 3D reconstructed surfaces of several real microscopic samples. Keywords: 3D microscopy dataset, 3D microscopy vision, 3D SEM surface reconstruction, Scanning Electron Microscope (SEM

Active Semisupervised Clustering Algorithm with Label Propagation for Imbalanced and Multidensity Datasets

Directory of Open Access Journals (Sweden)

Mingwei Leng

2013-01-01

Full Text Available The accuracy of most of the existing semisupervised clustering algorithms based on small size of labeled dataset is low when dealing with multidensity and imbalanced datasets, and labeling data is quite expensive and time consuming in many real-world applications. This paper focuses on active data selection and semisupervised clustering algorithm in multidensity and imbalanced datasets and proposes an active semisupervised clustering algorithm. The proposed algorithm uses an active mechanism for data selection to minimize the amount of labeled data, and it utilizes multithreshold to expand labeled datasets on multidensity and imbalanced datasets. Three standard datasets and one synthetic dataset are used to demonstrate the proposed algorithm, and the experimental results show that the proposed semisupervised clustering algorithm has a higher accuracy and a more stable performance in comparison to other clustering and semisupervised clustering algorithms, especially when the datasets are multidensity and imbalanced.

A reanalysis dataset of the South China Sea

Science.gov (United States)

Zeng, Xuezhi; Peng, Shiqiu; Li, Zhijin; Qi, Yiquan; Chen, Rongyu

2014-01-01

Ocean reanalysis provides a temporally continuous and spatially gridded four-dimensional estimate of the ocean state for a better understanding of the ocean dynamics and its spatial/temporal variability. Here we present a 19-year (1992–2010) high-resolution ocean reanalysis dataset of the upper ocean in the South China Sea (SCS) produced from an ocean data assimilation system. A wide variety of observations, including in-situ temperature/salinity profiles, ship-measured and satellite-derived sea surface temperatures, and sea surface height anomalies from satellite altimetry, are assimilated into the outputs of an ocean general circulation model using a multi-scale incremental three-dimensional variational data assimilation scheme, yielding a daily high-resolution reanalysis dataset of the SCS. Comparisons between the reanalysis and independent observations support the reliability of the dataset. The presented dataset provides the research community of the SCS an important data source for studying the thermodynamic processes of the ocean circulation and meso-scale features in the SCS, including their spatial and temporal variability. PMID:25977803

A dataset of forest biomass structure for Eurasia.

Science.gov (United States)

Schepaschenko, Dmitry; Shvidenko, Anatoly; Usoltsev, Vladimir; Lakyda, Petro; Luo, Yunjian; Vasylyshyn, Roman; Lakyda, Ivan; Myklush, Yuriy; See, Linda; McCallum, Ian; Fritz, Steffen; Kraxner, Florian; Obersteiner, Michael

2017-05-16

The most comprehensive dataset of in situ destructive sampling measurements of forest biomass in Eurasia have been compiled from a combination of experiments undertaken by the authors and from scientific publications. Biomass is reported as four components: live trees (stem, bark, branches, foliage, roots); understory (above- and below ground); green forest floor (above- and below ground); and coarse woody debris (snags, logs, dead branches of living trees and dead roots), consisting of 10,351 unique records of sample plots and 9,613 sample trees from ca 1,200 experiments for the period 1930-2014 where there is overlap between these two datasets. The dataset also contains other forest stand parameters such as tree species composition, average age, tree height, growing stock volume, etc., when available. Such a dataset can be used for the development of models of biomass structure, biomass extension factors, change detection in biomass structure, investigations into biodiversity and species distribution and the biodiversity-productivity relationship, as well as the assessment of the carbon pool and its dynamics, among many others.

A Dataset for Visual Navigation with Neuromorphic Methods

Directory of Open Access Journals (Sweden)

Francisco eBarranco

2016-02-01

Full Text Available Standardized benchmarks in Computer Vision have greatly contributed to the advance of approaches to many problems in the field. If we want to enhance the visibility of event-driven vision and increase its impact, we will need benchmarks that allow comparison among different neuromorphic methods as well as comparison to Computer Vision conventional approaches. We present datasets to evaluate the accuracy of frame-free and frame-based approaches for tasks of visual navigation. Similar to conventional Computer Vision datasets, we provide synthetic and real scenes, with the synthetic data created with graphics packages, and the real data recorded using a mobile robotic platform carrying a dynamic and active pixel vision sensor (DAVIS and an RGB+Depth sensor. For both datasets the cameras move with a rigid motion in a static scene, and the data includes the images, events, optic flow, 3D camera motion, and the depth of the scene, along with calibration procedures. Finally, we also provide simulated event data generated synthetically from well-known frame-based optical flow datasets.

Sparse Group Penalized Integrative Analysis of Multiple Cancer Prognosis Datasets

Science.gov (United States)

Liu, Jin; Huang, Jian; Xie, Yang; Ma, Shuangge

2014-01-01

SUMMARY In cancer research, high-throughput profiling studies have been extensively conducted, searching for markers associated with prognosis. Because of the “large d, small n” characteristic, results generated from the analysis of a single dataset can be unsatisfactory. Recent studies have shown that integrative analysis, which simultaneously analyzes multiple datasets, can be more effective than single-dataset analysis and classic meta-analysis. In most of existing integrative analysis, the homogeneity model has been assumed, which postulates that different datasets share the same set of markers. Several approaches have been designed to reinforce this assumption. In practice, different datasets may differ in terms of patient selection criteria, profiling techniques, and many other aspects. Such differences may make the homogeneity model too restricted. In this study, we assume the heterogeneity model, under which different datasets are allowed to have different sets of markers. With multiple cancer prognosis datasets, we adopt the AFT (accelerated failure time) model to describe survival. This model may have the lowest computational cost among popular semiparametric survival models. For marker selection, we adopt a sparse group MCP (minimax concave penalty) approach. This approach has an intuitive formulation and can be computed using an effective group coordinate descent algorithm. Simulation study shows that it outperforms the existing approaches under both the homogeneity and heterogeneity models. Data analysis further demonstrates the merit of heterogeneity model and proposed approach. PMID:23938111

El estado actual de las vacunas contra las drogas

Directory of Open Access Journals (Sweden)

Maura Epifanía Matus Ortega

2017-12-01

Full Text Available Introducción: por lo común, la adicción a las drogas se trata con psicoterapia y farmacología que evita la unión de las sustancias psicoactivas a receptores específicos en el cerebro. El resultado de estos tratamientos no ha sido del todo satisfactorio, por lo que el desarrollo de terapias más eficaces representa un reto constante para tratar las adicciones. Una alternativa a la farmacología antiadictiva es la vacunación activa dirigida contra las sustancias de abuso. Objetivo: esta revisión reúne la información disponible sobre los fundamentos y avances científicos en la generación de una terapia inmunológica, que coadyuve al tratamiento de la adicción a sustancias como la heroína-morfina, la cocaína, la nicotina y la anfetamina. Método: se consideraron los reportes científicos disponibles en PubMed –de 2005 a abril de 2017–, sobre los fundamentos, la metodología empleada, los estudios preclínicos y clínicos, y los resultados obtenidos en dichas investigaciones para generar vacunas contra las drogas. Resultados: las vacunas lograron mitigar los efectos producidos por las sustancias en los estudios preclínicos en modelos de estudio en animales; sin embargo, con pacientes humanos los resultados no han sido del todo satisfactorios. Discusión y conclusiones: a pesar de los esfuerzos realizados por diferentes grupos de investigación y compañías farmacéuticas para generar vacunas terapéuticas contra el uso de diferentes drogas, ninguna ha alcanzado la fase III de estudios clínicos. En la actualidad, se continúa con los esfuerzos para lograr que las vacunas contra las adicciones alcancen su máxima eficiencia y eficacia, y contribuyan al tratamiento de la adicción a las drogas.

Las momias de las pirámides

Directory of Open Access Journals (Sweden)

José Miguel Parra

2011-01-01

Full Text Available El público general cree, como si fuera un dogma religioso, que las pirámides egipcias no fueron las tumbas de los faraones de los Reino Antiguo y Medio porque en ninguna de las cámaras funerarias se ha encontrado nunca una momia. Este estudio compila todos los datos relevantes al respecto y describe brevemente todos los restos humanos encontrados dentro de las pirámides, demostrando la falta de base de esa extendida creencia.As a religious dogma the general public believe that the Egyptian pyramids were not the tombs for the Old and Middle Kingdom pharaohs, because never was a mummy found inside the burial chamber of any of them. This study just compile all the relevant data on the subject and describe briefly all the human remains found in the pyramids, showing the nonsense of the general belief.

Las mejores prácticas de las organizaciones y los profesionales

Directory of Open Access Journals (Sweden)

Robert L. SCHALOCK

2015-03-01

Full Text Available Este artículo se centra en las prácticas basadas en la evidencia y, sobre esta base, hacemos una invitación a que busquemos entre todos cuáles son las mejores prácticas, quién es el profesional más adecuado y qué significa ser una organización eficaz y eficiente. Tanto los profesionales como las organizaciones ofrecen servicios y apoyos que contribuyen a mejorar el bienestar y el crecimiento personal de los usuarios. En el contexto de la discusión sobre las prácticas profesionales y de las organizaciones, indicaré que las mejores prácticas profesionales empiezan con el respeto hacia las personas, el cumplimiento de los estándares y las normas éticas y deontológicas, y la utilización de las prácticas basadas en la evidencia y de la evaluación del efecto y de los resultados conseguidos. Indicaré, asimismo, que las mejores prácticas de la organización empiezan con el compromiso de ser una entidad basada en valores y, a la vez, de ser eficaz y eficiente en la prestación de los servicios y apoyos. Este compromiso de la organización se refleja en el uso de las mejores prácticas, que consisten en la utilización de equipos de alto rendimiento, en el paradigma de los apoyos, en la evaluación de los resultados obtenidos y en la mejora continua de la calidad.Como se observa en la Figura 1, examinaremos cada uno de los componentes de las mejores prácticas profesionales y de las organizaciones. Además, indicaré que, a través de su acción recíproca, las mejores prácticas de los profesionales y de las organizaciones generan un entorno cultural que tiene un efecto directo, no solo en la mejora de los servicios y apoyos que la organización ofrece a los usuarios, sino también en el bienestar y crecimiento personal del personal de la organización, lo cual, a su vez, redunda en un aumento de su eficacia y eficiencia.

A Spitzer View of Star Formation in the Cyngus X North Complex

Science.gov (United States)

2009-11-10

Sky Survey ( 2MASS ) data are used to identify and classify young stellar objects. Of the 8,231 sources detected exhibiting infrared excess in Cygnus X...Telescope. A combination of IRAC, MIPS, UKIRT Deep Infrared Sky Survey (UKIDSS), and Two Micron All Sky Survey ( 2MASS ) data are used to identify and classify...MIPS, Two-Micron All-Sky Survey ( 2MASS , Skrutskie et al. 2006) and UKIRT Deep Sky Survey DR4 (UKIDSS, Lawrence et al. 2007; Lucas et al. 2008

Indagando en la relevancia de Internet en el acceso, uso y deseos de las TIC por parte de las mujeres en las TIC

Directory of Open Access Journals (Sweden)

Núria VERGÉS BOSCH

2011-07-01

Full Text Available A partir de los años 90 las teorías feministas de la tecnología experimentan un optimismo renovado con la aparición de las TIC y el desarrollo de la tercera ola feminista. Sin embargo, la investigación en género y tecnología se ha centrado en estudiar la exclusión de las mujeres de las TIC e, inversamente, las experiencias de las mujeres y sus estrategias para incluirse en las TIC han recibido menos atención. Motivadas por nuestras experiencias tecnoactivistas y la observación de una remarcable presencia de mujeres en ellas, con Donestech, iniciamos un proyecto de investigación sobre los accesos, usos y deseos de las mujeres en las TIC. A través de una investigación ciberfeminista recogimos, analizamos y visibilizamos las experiencias y opiniones de las mujeres en las TIC. Nuestros resultados sugieren que las trayectorias de inclusión y acceso de las mujeres en las TIC son diversas, así como heterogéneos son los usos que hacen de ellas, destacando el rol jugado por Internet en todo ello. Además mostramos que las mujeres en las TIC son curiosas y entusiastas, que quieren empoderarse y compartir el conocimiento. Finalmente, les disgusta y desconfían de las relaciones de poder existentes en los mundos tecnológicos, manteniendo una actitud crítica y creativa hacia las TIC.

An Analysis on Better Testing than Training Performances on the Iris Dataset

NARCIS (Netherlands)

Schutten, Marten; Wiering, Marco

2016-01-01

The Iris dataset is a well known dataset containing information on three different types of Iris flowers. A typical and popular method for solving classification problems on datasets such as the Iris set is the support vector machine (SVM). In order to do so the dataset is separated in a set used

Interactive visualization and analysis of multimodal datasets for surgical applications.

Science.gov (United States)

Kirmizibayrak, Can; Yim, Yeny; Wakid, Mike; Hahn, James

2012-12-01

Surgeons use information from multiple sources when making surgical decisions. These include volumetric datasets (such as CT, PET, MRI, and their variants), 2D datasets (such as endoscopic videos), and vector-valued datasets (such as computer simulations). Presenting all the information to the user in an effective manner is a challenging problem. In this paper, we present a visualization approach that displays the information from various sources in a single coherent view. The system allows the user to explore and manipulate volumetric datasets, display analysis of dataset values in local regions, combine 2D and 3D imaging modalities and display results of vector-based computer simulations. Several interaction methods are discussed: in addition to traditional interfaces including mouse and trackers, gesture-based natural interaction methods are shown to control these visualizations with real-time performance. An example of a medical application (medialization laryngoplasty) is presented to demonstrate how the combination of different modalities can be used in a surgical setting with our approach.

Something From Nothing (There): Collecting Global IPv6 Datasets from DNS

NARCIS (Netherlands)

Fiebig, T.; Borgolte, Kevin; Hao, Shuang; Kruegel, Christopher; Vigna, Giovanny; Spring, Neil; Riley, George F.

2017-01-01

Current large-scale IPv6 studies mostly rely on non-public datasets, asmost public datasets are domain specific. For instance, traceroute-based datasetsare biased toward network equipment. In this paper, we present a new methodologyto collect IPv6 address datasets that does not require access to

Automatic processing of multimodal tomography datasets.

Science.gov (United States)

Parsons, Aaron D; Price, Stephen W T; Wadeson, Nicola; Basham, Mark; Beale, Andrew M; Ashton, Alun W; Mosselmans, J Frederick W; Quinn, Paul D

2017-01-01

With the development of fourth-generation high-brightness synchrotrons on the horizon, the already large volume of data that will be collected on imaging and mapping beamlines is set to increase by orders of magnitude. As such, an easy and accessible way of dealing with such large datasets as quickly as possible is required in order to be able to address the core scientific problems during the experimental data collection. Savu is an accessible and flexible big data processing framework that is able to deal with both the variety and the volume of data of multimodal and multidimensional scientific datasets output such as those from chemical tomography experiments on the I18 microfocus scanning beamline at Diamond Light Source.

GUDM: Automatic Generation of Unified Datasets for Learning and Reasoning in Healthcare.

Science.gov (United States)

Ali, Rahman; Siddiqi, Muhammad Hameed; Idris, Muhammad; Ali, Taqdir; Hussain, Shujaat; Huh, Eui-Nam; Kang, Byeong Ho; Lee, Sungyoung

2015-07-02

A wide array of biomedical data are generated and made available to healthcare experts. However, due to the diverse nature of data, it is difficult to predict outcomes from it. It is therefore necessary to combine these diverse data sources into a single unified dataset. This paper proposes a global unified data model (GUDM) to provide a global unified data structure for all data sources and generate a unified dataset by a "data modeler" tool. The proposed tool implements user-centric priority based approach which can easily resolve the problems of unified data modeling and overlapping attributes across multiple datasets. The tool is illustrated using sample diabetes mellitus data. The diverse data sources to generate the unified dataset for diabetes mellitus include clinical trial information, a social media interaction dataset and physical activity data collected using different sensors. To realize the significance of the unified dataset, we adopted a well-known rough set theory based rules creation process to create rules from the unified dataset. The evaluation of the tool on six different sets of locally created diverse datasets shows that the tool, on average, reduces 94.1% time efforts of the experts and knowledge engineer while creating unified datasets.

Razones por las que los alumnos universitarios no utilizan las redes sociales

Directory of Open Access Journals (Sweden)

Zeynep Turan

2013-08-01

Full Text Available Aunque las redes sociales (los SRS, especialmente Facebook se han popularizado entre la juventud, hay algunos alumnos universitarios que no desean participar en ellas. Esta investigación explora las razones subyacentes por las cuales los alumnos universitarios no utilizan las redes sociales. El grupo experimental (n=20 estuvo formado por alumnos de licenciatura de entre 18 y 25 años, seleccionados mediante muestreo intencional. Se recogieron los datos en dos grandes universidades estatales de Turquía. Facebook fue seleccionado para contextualizar esta investigación, por ser una de las redes sociales más populares. Los métodos de investigación cualitativa se emplearon en la recogida y análisis de los datos. Entre las razones principales por las que no utilizan las redes sociales se encuentran su percepción como una pérdida de tiempo, o una herramienta innecesaria; las posibilidades de poder conllevar una adicción; violar las normas de privacidad, compartir información excesiva; e invocar la preocupación parental. Adicionalmente, los resultados indicaron que la mayoría de los alumnos no confió en sus amistades virtuales y que no les gustaba compartir fotografías ni opiniones políticas en línea. El haber identificado las actitudes hacia los SRS de los alumnos nousuarios nos ayudará a entender mejor las percepciones y experiencias individuales relacionadas con estos servicios sociales.

A Research Graph dataset for connecting research data repositories using RD-Switchboard.

Science.gov (United States)

Aryani, Amir; Poblet, Marta; Unsworth, Kathryn; Wang, Jingbo; Evans, Ben; Devaraju, Anusuriya; Hausstein, Brigitte; Klas, Claus-Peter; Zapilko, Benjamin; Kaplun, Samuele

2018-05-29

This paper describes the open access graph dataset that shows the connections between Dryad, CERN, ANDS and other international data repositories to publications and grants across multiple research data infrastructures. The graph dataset was created using the Research Graph data model and the Research Data Switchboard (RD-Switchboard), a collaborative project by the Research Data Alliance DDRI Working Group (DDRI WG) with the aim to discover and connect the related research datasets based on publication co-authorship or jointly funded grants. The graph dataset allows researchers to trace and follow the paths to understanding a body of work. By mapping the links between research datasets and related resources, the graph dataset improves both their discovery and visibility, while avoiding duplicate efforts in data creation. Ultimately, the linked datasets may spur novel ideas, facilitate reproducibility and re-use in new applications, stimulate combinatorial creativity, and foster collaborations across institutions.

La intangibilidad de las acciones privadas de las personas

Directory of Open Access Journals (Sweden)

Mauricio Maldonado Muñoz

2014-03-01

Full Text Available En este artículo pretendemos acercarnos a una garantía que —siguiendo cierta doctrina— hemos llamado: intangibilidad de las acciones privadas de las personas. Desde una visión que busca ser omnicomprensiva, se analizan las fuentes de las que mana la privacidad y, posteriormente, su contenido y alcances. Sobre todo, se analiza el problema de los límites de la injerencia y regulación estatal, partiendo de una posición que niega las visiones comunitaristas. En general, se trata de conceptualizar a la garantía planteada desde el punto de vista de la libertad, el derecho y las virtudes humanas, los derechos de terceros y la moral pública; concretando su vinculación con otros derechos relacionados con la privacidad. La idea central del presente trabajo consiste en demostrar la transversalidad de la garantía señalada, implicando —en ese proceso— cuestiones trascendentes para la filosofía del derecho, la teoría del derecho y, por supuesto, para el estudio del derecho de los derechos humanos.  

Process mining in oncology using the MIMIC-III dataset

Science.gov (United States)

Prima Kurniati, Angelina; Hall, Geoff; Hogg, David; Johnson, Owen

2018-03-01

Process mining is a data analytics approach to discover and analyse process models based on the real activities captured in information systems. There is a growing body of literature on process mining in healthcare, including oncology, the study of cancer. In earlier work we found 37 peer-reviewed papers describing process mining research in oncology with a regular complaint being the limited availability and accessibility of datasets with suitable information for process mining. Publicly available datasets are one option and this paper describes the potential to use MIMIC-III, for process mining in oncology. MIMIC-III is a large open access dataset of de-identified patient records. There are 134 publications listed as using the MIMIC dataset, but none of them have used process mining. The MIMIC-III dataset has 16 event tables which are potentially useful for process mining and this paper demonstrates the opportunities to use MIMIC-III for process mining in oncology. Our research applied the L* lifecycle method to provide a worked example showing how process mining can be used to analyse cancer pathways. The results and data quality limitations are discussed along with opportunities for further work and reflection on the value of MIMIC-III for reproducible process mining research.

Veterans Affairs Suicide Prevention Synthetic Dataset

Data.gov (United States)

Department of Veterans Affairs — The VA's Veteran Health Administration, in support of the Open Data Initiative, is providing the Veterans Affairs Suicide Prevention Synthetic Dataset (VASPSD). The...

SAR image classification based on CNN in real and simulation datasets

Science.gov (United States)

Peng, Lijiang; Liu, Ming; Liu, Xiaohua; Dong, Liquan; Hui, Mei; Zhao, Yuejin

2018-04-01

Convolution neural network (CNN) has made great success in image classification tasks. Even in the field of synthetic aperture radar automatic target recognition (SAR-ATR), state-of-art results has been obtained by learning deep representation of features on the MSTAR benchmark. However, the raw data of MSTAR have shortcomings in training a SAR-ATR model because of high similarity in background among the SAR images of each kind. This indicates that the CNN would learn the hierarchies of features of backgrounds as well as the targets. To validate the influence of the background, some other SAR images datasets have been made which contains the simulation SAR images of 10 manufactured targets such as tank and fighter aircraft, and the backgrounds of simulation SAR images are sampled from the whole original MSTAR data. The simulation datasets contain the dataset that the backgrounds of each kind images correspond to the one kind of backgrounds of MSTAR targets or clutters and the dataset that each image shares the random background of whole MSTAR targets or clutters. In addition, mixed datasets of MSTAR and simulation datasets had been made to use in the experiments. The CNN architecture proposed in this paper are trained on all datasets mentioned above. The experimental results shows that the architecture can get high performances on all datasets even the backgrounds of the images are miscellaneous, which indicates the architecture can learn a good representation of the targets even though the drastic changes on background.

On sample size and different interpretations of snow stability datasets

Science.gov (United States)

Schirmer, M.; Mitterer, C.; Schweizer, J.

2009-04-01

Interpretations of snow stability variations need an assessment of the stability itself, independent of the scale investigated in the study. Studies on stability variations at a regional scale have often chosen stability tests such as the Rutschblock test or combinations of various tests in order to detect differences in aspect and elevation. The question arose: ‘how capable are such stability interpretations in drawing conclusions'. There are at least three possible errors sources: (i) the variance of the stability test itself; (ii) the stability variance at an underlying slope scale, and (iii) that the stability interpretation might not be directly related to the probability of skier triggering. Various stability interpretations have been proposed in the past that provide partly different results. We compared a subjective one based on expert knowledge with a more objective one based on a measure derived from comparing skier-triggered slopes vs. slopes that have been skied but not triggered. In this study, the uncertainties are discussed and their effects on regional scale stability variations will be quantified in a pragmatic way. An existing dataset with very large sample sizes was revisited. This dataset contained the variance of stability at a regional scale for several situations. The stability in this dataset was determined using the subjective interpretation scheme based on expert knowledge. The question to be answered was how many measurements were needed to obtain similar results (mainly stability differences in aspect or elevation) as with the complete dataset. The optimal sample size was obtained in several ways: (i) assuming a nominal data scale the sample size was determined with a given test, significance level and power, and by calculating the mean and standard deviation of the complete dataset. With this method it can also be determined if the complete dataset consists of an appropriate sample size. (ii) Smaller subsets were created with similar

Really big data: Processing and analysis of large datasets

Science.gov (United States)

Modern animal breeding datasets are large and getting larger, due in part to the recent availability of DNA data for many animals. Computational methods for efficiently storing and analyzing those data are under development. The amount of storage space required for such datasets is increasing rapidl...

A robust dataset-agnostic heart disease classifier from Phonocardiogram.

Science.gov (United States)

Banerjee, Rohan; Dutta Choudhury, Anirban; Deshpande, Parijat; Bhattacharya, Sakyajit; Pal, Arpan; Mandana, K M

2017-07-01

Automatic classification of normal and abnormal heart sounds is a popular area of research. However, building a robust algorithm unaffected by signal quality and patient demography is a challenge. In this paper we have analysed a wide list of Phonocardiogram (PCG) features in time and frequency domain along with morphological and statistical features to construct a robust and discriminative feature set for dataset-agnostic classification of normal and cardiac patients. The large and open access database, made available in Physionet 2016 challenge was used for feature selection, internal validation and creation of training models. A second dataset of 41 PCG segments, collected using our in-house smart phone based digital stethoscope from an Indian hospital was used for performance evaluation. Our proposed methodology yielded sensitivity and specificity scores of 0.76 and 0.75 respectively on the test dataset in classifying cardiovascular diseases. The methodology also outperformed three popular prior art approaches, when applied on the same dataset.

A Comparative Analysis of Classification Algorithms on Diverse Datasets

Directory of Open Access Journals (Sweden)

M. Alghobiri

2018-04-01

Full Text Available Data mining involves the computational process to find patterns from large data sets. Classification, one of the main domains of data mining, involves known structure generalizing to apply to a new dataset and predict its class. There are various classification algorithms being used to classify various data sets. They are based on different methods such as probability, decision tree, neural network, nearest neighbor, boolean and fuzzy logic, kernel-based etc. In this paper, we apply three diverse classification algorithms on ten datasets. The datasets have been selected based on their size and/or number and nature of attributes. Results have been discussed using some performance evaluation measures like precision, accuracy, F-measure, Kappa statistics, mean absolute error, relative absolute error, ROC Area etc. Comparative analysis has been carried out using the performance evaluation measures of accuracy, precision, and F-measure. We specify features and limitations of the classification algorithms for the diverse nature datasets.

An assessment of differences in gridded precipitation datasets in complex terrain

Science.gov (United States)

Henn, Brian; Newman, Andrew J.; Livneh, Ben; Daly, Christopher; Lundquist, Jessica D.

2018-01-01

Hydrologic modeling and other geophysical applications are sensitive to precipitation forcing data quality, and there are known challenges in spatially distributing gauge-based precipitation over complex terrain. We conduct a comparison of six high-resolution, daily and monthly gridded precipitation datasets over the Western United States. We compare the long-term average spatial patterns, and interannual variability of water-year total precipitation, as well as multi-year trends in precipitation across the datasets. We find that the greatest absolute differences among datasets occur in high-elevation areas and in the maritime mountain ranges of the Western United States, while the greatest percent differences among datasets relative to annual total precipitation occur in arid and rain-shadowed areas. Differences between datasets in some high-elevation areas exceed 200 mm yr-1 on average, and relative differences range from 5 to 60% across the Western United States. In areas of high topographic relief, true uncertainties and biases are likely higher than the differences among the datasets; we present evidence of this based on streamflow observations. Precipitation trends in the datasets differ in magnitude and sign at smaller scales, and are sensitive to how temporal inhomogeneities in the underlying precipitation gauge data are handled.

Strontium removal jar test dataset for all figures and tables.

Data.gov (United States)

U.S. Environmental Protection Agency — The datasets where used to generate data to demonstrate strontium removal under various water quality and treatment conditions. This dataset is associated with the...

Las relaciones de Podemos con las organizaciones sociales

Directory of Open Access Journals (Sweden)

Ignacio Mariñas

2015-09-01

Full Text Available El 15M fue el principio del proceso de cambio en España y tiene una trascendencia en el mundo porque, por primera vez desde 1989, un movimiento contestatario al sistema alcanza una repercusión mundial. En consecuencia, todos partidos políticos en España atienden las demandas de este movimiento, bien para impulsar cambios en sus programas que atiendan a sus demandas o para intentar asumir su representación política como hace Podemos. En esta exposición se considera la tradición política de este país y el surgir del 15M, para comentar, después, las críticas a Podemos como heredero del 15M, y terminar con el análisis de su relación con las organizaciones sociales. La exposición se organiza en cinco tiempos que en su conjunto dan una visión poliédrica del problema. El objetivo es tratar de contradecir el escepticismo del Quijote sobre la posibilidad de comprender las razones y las dinámicas de los cambios sociales.

Development of a SPARK Training Dataset

Energy Technology Data Exchange (ETDEWEB)

Sayre, Amanda M. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Olson, Jarrod R. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

2015-03-01

In its first five years, the National Nuclear Security Administration’s (NNSA) Next Generation Safeguards Initiative (NGSI) sponsored more than 400 undergraduate, graduate, and post-doctoral students in internships and research positions (Wyse 2012). In the past seven years, the NGSI program has, and continues to produce a large body of scientific, technical, and policy work in targeted core safeguards capabilities and human capital development activities. Not only does the NGSI program carry out activities across multiple disciplines, but also across all U.S. Department of Energy (DOE)/NNSA locations in the United States. However, products are not readily shared among disciplines and across locations, nor are they archived in a comprehensive library. Rather, knowledge of NGSI-produced literature is localized to the researchers, clients, and internal laboratory/facility publication systems such as the Electronic Records and Information Capture Architecture (ERICA) at the Pacific Northwest National Laboratory (PNNL). There is also no incorporated way of analyzing existing NGSI literature to determine whether the larger NGSI program is achieving its core safeguards capabilities and activities. A complete library of NGSI literature could prove beneficial to a cohesive, sustainable, and more economical NGSI program. The Safeguards Platform for Automated Retrieval of Knowledge (SPARK) has been developed to be a knowledge storage, retrieval, and analysis capability to capture safeguards knowledge to exist beyond the lifespan of NGSI. During the development process, it was necessary to build a SPARK training dataset (a corpus of documents) for initial entry into the system and for demonstration purposes. We manipulated these data to gain new information about the breadth of NGSI publications, and they evaluated the science-policy interface at PNNL as a practical demonstration of SPARK’s intended analysis capability. The analysis demonstration sought to answer the

Benchmarking of Typical Meteorological Year datasets dedicated to Concentrated-PV systems

Science.gov (United States)

Realpe, Ana Maria; Vernay, Christophe; Pitaval, Sébastien; Blanc, Philippe; Wald, Lucien; Lenoir, Camille

2016-04-01

Accurate analysis of meteorological and pyranometric data for long-term analysis is the basis of decision-making for banks and investors, regarding solar energy conversion systems. This has led to the development of methodologies for the generation of Typical Meteorological Years (TMY) datasets. The most used method for solar energy conversion systems was proposed in 1978 by the Sandia Laboratory (Hall et al., 1978) considering a specific weighted combination of different meteorological variables with notably global, diffuse horizontal and direct normal irradiances, air temperature, wind speed, relative humidity. In 2012, a new approach was proposed in the framework of the European project FP7 ENDORSE. It introduced the concept of "driver" that is defined by the user as an explicit function of the pyranometric and meteorological relevant variables to improve the representativeness of the TMY datasets with respect the specific solar energy conversion system of interest. The present study aims at comparing and benchmarking different TMY datasets considering a specific Concentrated-PV (CPV) system as the solar energy conversion system of interest. Using long-term (15+ years) time-series of high quality meteorological and pyranometric ground measurements, three types of TMY datasets generated by the following methods: the Sandia method, a simplified driver with DNI as the only representative variable and a more sophisticated driver. The latter takes into account the sensitivities of the CPV system with respect to the spectral distribution of the solar irradiance and wind speed. Different TMY datasets from the three methods have been generated considering different numbers of years in the historical dataset, ranging from 5 to 15 years. The comparisons and benchmarking of these TMY datasets are conducted considering the long-term time series of simulated CPV electric production as a reference. The results of this benchmarking clearly show that the Sandia method is not

Las ideologias, las ciencias naturales y sus implicaciones en la educacion cientifica

Science.gov (United States)

Lozada Roldan, Sandra

Este estudio ausculto las concepciones epistemologicas de los docentes de ciencia del nivel secundario con relacion a las ideologias y las ciencias naturales. Tambien examino las posiciones de los docentes ante asuntos publicos relacionados a la ciencia. Para propositos de este estudio se diseno y se valido el cuestionario con el cual se obtuvieron los resultados. La investigacion es de tipo cuantitativa y se utilizo como diseno la encuesta. El cuestionario se administro en varias actividades de desarrollo profesional para maestros de ciencia. Un total de 78 maestros del nivel secundario respondieron el cuestionario. Para analizar los datos obtenidos se utilizaron estadisticas descriptivas como la distribucion de frecuencia y el porciento. Ademas se establecieron codigos y categorias para describir las posiciones de los maestros ante asuntos publicos relacionados a la ciencia. Los analisis demostraron que entre los docentes participantes de este estudio prevalecen ciertas concepciones epistemologicas adecuadas acerca de las ciencias naturales, a la luz de la literatura consultada. Entre estas concepciones se destacan las siguientes: a) la filosofia materialista de las ciencias naturales, b) la naturaleza tentativa y constructivista del conocimiento cientifico, c) el uso de una metodologia que garantiza cierto grado de objetividad y con el que se justifican y validan los enunciados cientificos y d) la funcion instrumental del conocimiento cientifico. Sin embargo, entre los docentes participantes de este estudio prevalecen ciertas concepciones epistemologicas erroneas acerca de las ciencias naturales, a la luz de la literatura consultada. Entre estas concepciones se destacan las siguientes: a) tendencia inductivista en el que las teorias cientificas comienzan con observaciones que establecen generalizaciones, b) secuencia jerarquica de la metodologia cientifica. Ademas, entre los docentes participantes de este estudio prevalecen concepciones epistemologicas adecuadas

Los efectos de las armas en la vida de las mujeres

OpenAIRE

2005-01-01

Se calcula que en la actualidad hay en el mundo casi 650 millones de armas pequeñas. Casi el 60 por ciento de ellas están en manos de ciudadanos particulares, en su mayoría hombres. Y la gran mayoría de quienes fabrican, venden, poseen y usan, debida o indebidamente, las armas pequeñas son hombres. ¿Qué significa esto para las mujeres y niñas del mundo? Este informe estudia los efectos que las armas de fuego tienen para las mujeres en el hogar, en las comunidades y también durante un conflict...

SIAM 2007 Text Mining Competition dataset

Data.gov (United States)

National Aeronautics and Space Administration — Subject Area: Text Mining Description: This is the dataset used for the SIAM 2007 Text Mining competition. This competition focused on developing text mining...

Environmental Dataset Gateway (EDG) REST Interface

Data.gov (United States)

U.S. Environmental Protection Agency — Use the Environmental Dataset Gateway (EDG) to find and access EPA's environmental resources. Many options are available for easily reusing EDG content in other...

Gobierno de las TI en las universidades españolas

OpenAIRE

Fernández Martínez, Antonio; Llorens Largo, Faraón

2009-01-01

Comunicación presentada en el IV International Congress: "Evolving from IT Service Management to IT Governance", May 19, 2009, Móstoles, Madrid. El gobierno de las Tecnologías de la Información (TI) va a proporcionar a las universidades la capacidad de obtener el máximo valor de sus inversiones TI. Sin embargo en el Sistema Universitario Español (SUE) el uso de sistemas de gobierno de las TI esta muy poco extendido y apenas es incipiente. La Conferencia de Rectores de las Universidades Esp...

Geoseq: a tool for dissecting deep-sequencing datasets

Directory of Open Access Journals (Sweden)

Homann Robert

2010-10-01

Full Text Available Abstract Background Datasets generated on deep-sequencing platforms have been deposited in various public repositories such as the Gene Expression Omnibus (GEO, Sequence Read Archive (SRA hosted by the NCBI, or the DNA Data Bank of Japan (ddbj. Despite being rich data sources, they have not been used much due to the difficulty in locating and analyzing datasets of interest. Results Geoseq http://geoseq.mssm.edu provides a new method of analyzing short reads from deep sequencing experiments. Instead of mapping the reads to reference genomes or sequences, Geoseq maps a reference sequence against the sequencing data. It is web-based, and holds pre-computed data from public libraries. The analysis reduces the input sequence to tiles and measures the coverage of each tile in a sequence library through the use of suffix arrays. The user can upload custom target sequences or use gene/miRNA names for the search and get back results as plots and spreadsheet files. Geoseq organizes the public sequencing data using a controlled vocabulary, allowing identification of relevant libraries by organism, tissue and type of experiment. Conclusions Analysis of small sets of sequences against deep-sequencing datasets, as well as identification of public datasets of interest, is simplified by Geoseq. We applied Geoseq to, a identify differential isoform expression in mRNA-seq datasets, b identify miRNAs (microRNAs in libraries, and identify mature and star sequences in miRNAS and c to identify potentially mis-annotated miRNAs. The ease of using Geoseq for these analyses suggests its utility and uniqueness as an analysis tool.

Las Sinapsis

OpenAIRE

Jorge Eduardo Duque Parra; Genaro Morales Parra; Carlos Alberto Duque Parra

1997-01-01

Introducción

El estudio del sistema nervioso considera entre múltiples conexiones, aquéllas de carácter bioquímico que se median a través de sustancias elaboradas por las neuronas y que reciben la denominación de neurotransmisores’, dichas sustancias se vierten en las zonas de resquicio neuromuscular, neuroneuronal o neuroglandular, para modificar las condiciones de membrana y permitir la continuidad de los p...

Conocimiento de las vías de transmisión de las zoonosis y de las especies afectadas entre los trabajadores rurales

Directory of Open Access Journals (Sweden)

Ana I Molineri

Full Text Available El objetivo de este trabajo fue evaluar el grado de conocimiento que tienen los trabajadores rurales sobre las zoonosis a las que se encuentran expuestos en su trabajo y su asociación con factores socio-demográficos. Se efectuó un estudio observacional transversal basado en la realización de encuestas (N = 110, n = 94, utilizando un cuestionario estructurado. El análisis incluyó c², t de Student y correlación de Pearson y de Spearman. Las zoonosis más conocidas fueron la triquinosis, la rabia y la sarna. En el caso de la brucelosis, la tuberculosis y el carbunco, fueron muy conocidas las especies que las transmiten, pero no así las formas de transmisión. Las enfermedades menos conocidas en ambos sentidos fueron la toxocariasis y la hidatidosis, seguidas por la leptospirosis y la toxoplasmosis. Para todas las zoonosis estudiadas se encontró correlación significativa (p < 0,001 entre el conocimiento de las especies transmisoras y de las vías de transmisión. Aquellos encuestados de sexo masculino, propietarios y residentes de zonas urbanas, casados y de mayor edad y antigüedad fueron quienes presentaron más conocimientos sobre las zoonosis, en general. El conocimiento que tienen los trabajadores rurales acerca de las zoonosis es insuficiente. Sería importante que los veterinarios, en conjunto con las aseguradoras de riesgos del trabajo, difundan la información adecuada entre las personas en riesgo que desarrollan sus tareas en este ámbito.

Las mujeres y los puestos para expatriados en las multinacionales latinoamericanas

Directory of Open Access Journals (Sweden)

Edgar E. Chaves Solano

2009-07-01

Full Text Available Una de los aspectos más importantes del mercado laboral mundial en la última mitad del siglo XX ha sido la tasa de participación cada vez mayor de las mujeres en puestos gerenciales. Sin embargo, es evidente, de acuerdo a la investigación existente, que las mujeres no progresan en los puestos de dirección internacional en las mismas tasas que sus homólogos masculinos. Investigaciones anteriores ha estimado que sólo el 3 % de los administradores expatriados son mujeres. Se argumenta que las mujeres en puestos de dirección internacional tienen que superar las barreras abiertas y encubiertas en sus organizaciones antes de ser tomadas en cuenta para asignaciones internacionales. Los estudios mencionados se refieren a los países desarrollados. En el caso de las corporaciones latinoamericanas no se han encontrado estudios teóricos ni empíricos que arrojen luz sobre el tema de la mujer expatriada. El objetivo del presente trabajo es obtener razones y mitos sobre la asignación de las mujeres como expatriadas en los países desarrollados para, en un posterior estudio determinar si esas razones son validas o no con las mujeres expatriadas de las corporaciones de América Latina y que estos resultados ayuden a tomar mejores decisiones a los gerentes cuando tengan que llenar un puesto en el exterior

Harvard Aging Brain Study: Dataset and accessibility.

Science.gov (United States)

Dagley, Alexander; LaPoint, Molly; Huijbers, Willem; Hedden, Trey; McLaren, Donald G; Chatwal, Jasmeer P; Papp, Kathryn V; Amariglio, Rebecca E; Blacker, Deborah; Rentz, Dorene M; Johnson, Keith A; Sperling, Reisa A; Schultz, Aaron P

2017-01-01

The Harvard Aging Brain Study is sharing its data with the global research community. The longitudinal dataset consists of a 284-subject cohort with the following modalities acquired: demographics, clinical assessment, comprehensive neuropsychological testing, clinical biomarkers, and neuroimaging. To promote more extensive analyses, imaging data was designed to be compatible with other publicly available datasets. A cloud-based system enables access to interested researchers with blinded data available contingent upon completion of a data usage agreement and administrative approval. Data collection is ongoing and currently in its fifth year. Copyright © 2015 Elsevier Inc. All rights reserved.

Sensitivity of a numerical wave model on wind re-analysis datasets

Science.gov (United States)

Lavidas, George; Venugopal, Vengatesan; Friedrich, Daniel

2017-03-01

Wind is the dominant process for wave generation. Detailed evaluation of metocean conditions strengthens our understanding of issues concerning potential offshore applications. However, the scarcity of buoys and high cost of monitoring systems pose a barrier to properly defining offshore conditions. Through use of numerical wave models, metocean conditions can be hindcasted and forecasted providing reliable characterisations. This study reports the sensitivity of wind inputs on a numerical wave model for the Scottish region. Two re-analysis wind datasets with different spatio-temporal characteristics are used, the ERA-Interim Re-Analysis and the CFSR-NCEP Re-Analysis dataset. Different wind products alter results, affecting the accuracy obtained. The scope of this study is to assess different available wind databases and provide information concerning the most appropriate wind dataset for the specific region, based on temporal, spatial and geographic terms for wave modelling and offshore applications. Both wind input datasets delivered results from the numerical wave model with good correlation. Wave results by the 1-h dataset have higher peaks and lower biases, in expense of a high scatter index. On the other hand, the 6-h dataset has lower scatter but higher biases. The study shows how wind dataset affects the numerical wave modelling performance, and that depending on location and study needs, different wind inputs should be considered.

Querying Large Biological Network Datasets

Science.gov (United States)

Gulsoy, Gunhan

2013-01-01

New experimental methods has resulted in increasing amount of genetic interaction data to be generated every day. Biological networks are used to store genetic interaction data gathered. Increasing amount of data available requires fast large scale analysis methods. Therefore, we address the problem of querying large biological network datasets.…

BanglaLekha-Isolated: A multi-purpose comprehensive dataset of Handwritten Bangla Isolated characters

Directory of Open Access Journals (Sweden)

Mithun Biswas

2017-06-01

Full Text Available BanglaLekha-Isolated, a Bangla handwritten isolated character dataset is presented in this article. This dataset contains 84 different characters comprising of 50 Bangla basic characters, 10 Bangla numerals and 24 selected compound characters. 2000 handwriting samples for each of the 84 characters were collected, digitized and pre-processed. After discarding mistakes and scribbles, 1,66,105 handwritten character images were included in the final dataset. The dataset also includes labels indicating the age and the gender of the subjects from whom the samples were collected. This dataset could be used not only for optical handwriting recognition research but also to explore the influence of gender and age on handwriting. The dataset is publicly available at https://data.mendeley.com/datasets/hf6sf8zrkc/2.

Los que van a morir te saludan: las huellas, las cargas, las historias del cuerpo

OpenAIRE

Toro, Marisel; Serna, Yamid; Suárez, Rútber; Patiño, Ana; Moreno, Andrés

2017-01-01

Tesis (Maestría en Educación y Desarrollo Humano). Universidad de Manizales. Facultad de Ciencias Sociales y Humanas. CINDE, 2017 Las inquietudes desplegadas en el Programa de Investigación de la Línea en torno a las formas contemporáneas del Juvenicidio y la Necropolítica en Colombia, nos fueron arrojando al enunciado que soporta el título de esta serie: Los que van a morir te saludan. Amparados en el fondo doloroso que emana de esta antigua expresión latina, nosotros encontramos las v...

A dataset of human decision-making in teamwork management

Science.gov (United States)

Yu, Han; Shen, Zhiqi; Miao, Chunyan; Leung, Cyril; Chen, Yiqiang; Fauvel, Simon; Lin, Jun; Cui, Lizhen; Pan, Zhengxiang; Yang, Qiang

2017-01-01

Today, most endeavours require teamwork by people with diverse skills and characteristics. In managing teamwork, decisions are often made under uncertainty and resource constraints. The strategies and the effectiveness of the strategies different people adopt to manage teamwork under different situations have not yet been fully explored, partially due to a lack of detailed large-scale data. In this paper, we describe a multi-faceted large-scale dataset to bridge this gap. It is derived from a game simulating complex project management processes. It presents the participants with different conditions in terms of team members' capabilities and task characteristics for them to exhibit their decision-making strategies. The dataset contains detailed data reflecting the decision situations, decision strategies, decision outcomes, and the emotional responses of 1,144 participants from diverse backgrounds. To our knowledge, this is the first dataset simultaneously covering these four facets of decision-making. With repeated measurements, the dataset may help establish baseline variability of decision-making in teamwork management, leading to more realistic decision theoretic models and more effective decision support approaches.

EVALUATION OF LAND USE/LAND COVER DATASETS FOR URBAN WATERSHED MODELING

International Nuclear Information System (INIS)

S.J. BURIAN; M.J. BROWN; T.N. MCPHERSON

2001-01-01

Land use/land cover (LULC) data are a vital component for nonpoint source pollution modeling. Most watershed hydrology and pollutant loading models use, in some capacity, LULC information to generate runoff and pollutant loading estimates. Simple equation methods predict runoff and pollutant loads using runoff coefficients or pollutant export coefficients that are often correlated to LULC type. Complex models use input variables and parameters to represent watershed characteristics and pollutant buildup and washoff rates as a function of LULC type. Whether using simple or complex models an accurate LULC dataset with an appropriate spatial resolution and level of detail is paramount for reliable predictions. The study presented in this paper compared and evaluated several LULC dataset sources for application in urban environmental modeling. The commonly used USGS LULC datasets have coarser spatial resolution and lower levels of classification than other LULC datasets. In addition, the USGS datasets do not accurately represent the land use in areas that have undergone significant land use change during the past two decades. We performed a watershed modeling analysis of three urban catchments in Los Angeles, California, USA to investigate the relative difference in average annual runoff volumes and total suspended solids (TSS) loads when using the USGS LULC dataset versus using a more detailed and current LULC dataset. When the two LULC datasets were aggregated to the same land use categories, the relative differences in predicted average annual runoff volumes and TSS loads from the three catchments were 8 to 14% and 13 to 40%, respectively. The relative differences did not have a predictable relationship with catchment size

Sharing Video Datasets in Design Research

DEFF Research Database (Denmark)

Christensen, Bo; Abildgaard, Sille Julie Jøhnk

2017-01-01

This paper examines how design researchers, design practitioners and design education can benefit from sharing a dataset. We present the Design Thinking Research Symposium 11 (DTRS11) as an exemplary project that implied sharing video data of design processes and design activity in natural settings...... with a large group of fellow academics from the international community of Design Thinking Research, for the purpose of facilitating research collaboration and communication within the field of Design and Design Thinking. This approach emphasizes the social and collaborative aspects of design research, where...... a multitude of appropriate perspectives and methods may be utilized in analyzing and discussing the singular dataset. The shared data is, from this perspective, understood as a design object in itself, which facilitates new ways of working, collaborating, studying, learning and educating within the expanding...

Interpolation of diffusion weighted imaging datasets

DEFF Research Database (Denmark)

Dyrby, Tim B; Lundell, Henrik; Burke, Mark W

2014-01-01

anatomical details and signal-to-noise-ratio for reliable fibre reconstruction. We assessed the potential benefits of interpolating DWI datasets to a higher image resolution before fibre reconstruction using a diffusion tensor model. Simulations of straight and curved crossing tracts smaller than or equal......Diffusion weighted imaging (DWI) is used to study white-matter fibre organisation, orientation and structural connectivity by means of fibre reconstruction algorithms and tractography. For clinical settings, limited scan time compromises the possibilities to achieve high image resolution for finer...... interpolation methods fail to disentangle fine anatomical details if PVE is too pronounced in the original data. As for validation we used ex-vivo DWI datasets acquired at various image resolutions as well as Nissl-stained sections. Increasing the image resolution by a factor of eight yielded finer geometrical...

Development of a SPARK Training Dataset

International Nuclear Information System (INIS)

Sayre, Amanda M.; Olson, Jarrod R.

2015-01-01

In its first five years, the National Nuclear Security Administration's (NNSA) Next Generation Safeguards Initiative (NGSI) sponsored more than 400 undergraduate, graduate, and post-doctoral students in internships and research positions (Wyse 2012). In the past seven years, the NGSI program has, and continues to produce a large body of scientific, technical, and policy work in targeted core safeguards capabilities and human capital development activities. Not only does the NGSI program carry out activities across multiple disciplines, but also across all U.S. Department of Energy (DOE)/NNSA locations in the United States. However, products are not readily shared among disciplines and across locations, nor are they archived in a comprehensive library. Rather, knowledge of NGSI-produced literature is localized to the researchers, clients, and internal laboratory/facility publication systems such as the Electronic Records and Information Capture Architecture (ERICA) at the Pacific Northwest National Laboratory (PNNL). There is also no incorporated way of analyzing existing NGSI literature to determine whether the larger NGSI program is achieving its core safeguards capabilities and activities. A complete library of NGSI literature could prove beneficial to a cohesive, sustainable, and more economical NGSI program. The Safeguards Platform for Automated Retrieval of Knowledge (SPARK) has been developed to be a knowledge storage, retrieval, and analysis capability to capture safeguards knowledge to exist beyond the lifespan of NGSI. During the development process, it was necessary to build a SPARK training dataset (a corpus of documents) for initial entry into the system and for demonstration purposes. We manipulated these data to gain new information about the breadth of NGSI publications, and they evaluated the science-policy interface at PNNL as a practical demonstration of SPARK's intended analysis capability. The analysis demonstration sought to answer

ClimateNet: A Machine Learning dataset for Climate Science Research

Science.gov (United States)

Prabhat, M.; Biard, J.; Ganguly, S.; Ames, S.; Kashinath, K.; Kim, S. K.; Kahou, S.; Maharaj, T.; Beckham, C.; O'Brien, T. A.; Wehner, M. F.; Williams, D. N.; Kunkel, K.; Collins, W. D.

2017-12-01

Deep Learning techniques have revolutionized commercial applications in Computer vision, speech recognition and control systems. The key for all of these developments was the creation of a curated, labeled dataset ImageNet, for enabling multiple research groups around the world to develop methods, benchmark performance and compete with each other. The success of Deep Learning can be largely attributed to the broad availability of this dataset. Our empirical investigations have revealed that Deep Learning is similarly poised to benefit the task of pattern detection in climate science. Unfortunately, labeled datasets, a key pre-requisite for training, are hard to find. Individual research groups are typically interested in specialized weather patterns, making it hard to unify, and share datasets across groups and institutions. In this work, we are proposing ClimateNet: a labeled dataset that provides labeled instances of extreme weather patterns, as well as associated raw fields in model and observational output. We develop a schema in NetCDF to enumerate weather pattern classes/types, store bounding boxes, and pixel-masks. We are also working on a TensorFlow implementation to natively import such NetCDF datasets, and are providing a reference convolutional architecture for binary classification tasks. Our hope is that researchers in Climate Science, as well as ML/DL, will be able to use (and extend) ClimateNet to make rapid progress in the application of Deep Learning for Climate Science research.

Resampling Methods Improve the Predictive Power of Modeling in Class-Imbalanced Datasets

Directory of Open Access Journals (Sweden)

Paul H. Lee

2014-09-01

Full Text Available In the medical field, many outcome variables are dichotomized, and the two possible values of a dichotomized variable are referred to as classes. A dichotomized dataset is class-imbalanced if it consists mostly of one class, and performance of common classification models on this type of dataset tends to be suboptimal. To tackle such a problem, resampling methods, including oversampling and undersampling can be used. This paper aims at illustrating the effect of resampling methods using the National Health and Nutrition Examination Survey (NHANES wave 2009–2010 dataset. A total of 4677 participants aged ≥20 without self-reported diabetes and with valid blood test results were analyzed. The Classification and Regression Tree (CART procedure was used to build a classification model on undiagnosed diabetes. A participant demonstrated evidence of diabetes according to WHO diabetes criteria. Exposure variables included demographics and socio-economic status. CART models were fitted using a randomly selected 70% of the data (training dataset, and area under the receiver operating characteristic curve (AUC was computed using the remaining 30% of the sample for evaluation (testing dataset. CART models were fitted using the training dataset, the oversampled training dataset, the weighted training dataset, and the undersampled training dataset. In addition, resampling case-to-control ratio of 1:1, 1:2, and 1:4 were examined. Resampling methods on the performance of other extensions of CART (random forests and generalized boosted trees were also examined. CARTs fitted on the oversampled (AUC = 0.70 and undersampled training data (AUC = 0.74 yielded a better classification power than that on the training data (AUC = 0.65. Resampling could also improve the classification power of random forests and generalized boosted trees. To conclude, applying resampling methods in a class-imbalanced dataset improved the classification power of CART, random forests

BASE MAP DATASET, INYO COUNTY, OKLAHOMA

Data.gov (United States)

Federal Emergency Management Agency, Department of Homeland Security — FEMA Framework Basemap datasets comprise six of the seven FGDC themes of geospatial data that are used by most GIS applications (Note: the seventh framework theme,...

BASE MAP DATASET, JACKSON COUNTY, OKLAHOMA

Data.gov (United States)

Federal Emergency Management Agency, Department of Homeland Security — FEMA Framework Basemap datasets comprise six of the seven FGDC themes of geospatial data that are used by most GIS applications (Note: the seventh framework theme,...

BASE MAP DATASET, KINGFISHER COUNTY, OKLAHOMA

Data.gov (United States)

Federal Emergency Management Agency, Department of Homeland Security — FEMA Framework Basemap datasets comprise six of the seven FGDC themes of geospatial data that are used by most GIS applications (Note: the seventh framework theme,...

Image segmentation evaluation for very-large datasets

Science.gov (United States)

Reeves, Anthony P.; Liu, Shuang; Xie, Yiting

2016-03-01

With the advent of modern machine learning methods and fully automated image analysis there is a need for very large image datasets having documented segmentations for both computer algorithm training and evaluation. Current approaches of visual inspection and manual markings do not scale well to big data. We present a new approach that depends on fully automated algorithm outcomes for segmentation documentation, requires no manual marking, and provides quantitative evaluation for computer algorithms. The documentation of new image segmentations and new algorithm outcomes are achieved by visual inspection. The burden of visual inspection on large datasets is minimized by (a) customized visualizations for rapid review and (b) reducing the number of cases to be reviewed through analysis of quantitative segmentation evaluation. This method has been applied to a dataset of 7,440 whole-lung CT images for 6 different segmentation algorithms designed to fully automatically facilitate the measurement of a number of very important quantitative image biomarkers. The results indicate that we could achieve 93% to 99% successful segmentation for these algorithms on this relatively large image database. The presented evaluation method may be scaled to much larger image databases.

A New Dataset Size Reduction Approach for PCA-Based Classification in OCR Application

Directory of Open Access Journals (Sweden)

Mohammad Amin Shayegan

2014-01-01

Full Text Available A major problem of pattern recognition systems is due to the large volume of training datasets including duplicate and similar training samples. In order to overcome this problem, some dataset size reduction and also dimensionality reduction techniques have been introduced. The algorithms presently used for dataset size reduction usually remove samples near to the centers of classes or support vector samples between different classes. However, the samples near to a class center include valuable information about the class characteristics and the support vector is important for evaluating system efficiency. This paper reports on the use of Modified Frequency Diagram technique for dataset size reduction. In this new proposed technique, a training dataset is rearranged and then sieved. The sieved training dataset along with automatic feature extraction/selection operation using Principal Component Analysis is used in an OCR application. The experimental results obtained when using the proposed system on one of the biggest handwritten Farsi/Arabic numeral standard OCR datasets, Hoda, show about 97% accuracy in the recognition rate. The recognition speed increased by 2.28 times, while the accuracy decreased only by 0.7%, when a sieved version of the dataset, which is only as half as the size of the initial training dataset, was used.

Dejar las lagrimas e ir hacia las acciones

DEFF Research Database (Denmark)

Jeppesen, Anne Marie Ejdesgaard

2015-01-01

Este artículo enfoca en la frontera entre México y los Estados Unidos, las condiciones especiales de la sociedad fronteriza, las economías interconectadas y la violencia, en especial la violencia ejercida contra mujeres y los feminicidios. El artículo discute diferentes perspectivas y maneras de...

The CMS dataset bookkeeping service

Science.gov (United States)

Afaq, A.; Dolgert, A.; Guo, Y.; Jones, C.; Kosyakov, S.; Kuznetsov, V.; Lueking, L.; Riley, D.; Sekhri, V.

2008-07-01

The CMS Dataset Bookkeeping Service (DBS) has been developed to catalog all CMS event data from Monte Carlo and Detector sources. It provides the ability to identify MC or trigger source, track data provenance, construct datasets for analysis, and discover interesting data. CMS requires processing and analysis activities at various service levels and the DBS system provides support for localized processing or private analysis, as well as global access for CMS users at large. Catalog entries can be moved among the various service levels with a simple set of migration tools, thus forming a loose federation of databases. DBS is available to CMS users via a Python API, Command Line, and a Discovery web page interfaces. The system is built as a multi-tier web application with Java servlets running under Tomcat, with connections via JDBC to Oracle or MySQL database backends. Clients connect to the service through HTTP or HTTPS with authentication provided by GRID certificates and authorization through VOMS. DBS is an integral part of the overall CMS Data Management and Workflow Management systems.

The CMS dataset bookkeeping service

Energy Technology Data Exchange (ETDEWEB)

Afaq, A; Guo, Y; Kosyakov, S; Lueking, L; Sekhri, V [Fermilab, Batavia, Illinois 60510 (United States); Dolgert, A; Jones, C; Kuznetsov, V; Riley, D [Cornell University, Ithaca, New York 14850 (United States)

2008-07-15

The CMS Dataset Bookkeeping Service (DBS) has been developed to catalog all CMS event data from Monte Carlo and Detector sources. It provides the ability to identify MC or trigger source, track data provenance, construct datasets for analysis, and discover interesting data. CMS requires processing and analysis activities at various service levels and the DBS system provides support for localized processing or private analysis, as well as global access for CMS users at large. Catalog entries can be moved among the various service levels with a simple set of migration tools, thus forming a loose federation of databases. DBS is available to CMS users via a Python API, Command Line, and a Discovery web page interfaces. The system is built as a multi-tier web application with Java servlets running under Tomcat, with connections via JDBC to Oracle or MySQL database backends. Clients connect to the service through HTTP or HTTPS with authentication provided by GRID certificates and authorization through VOMS. DBS is an integral part of the overall CMS Data Management and Workflow Management systems.

The CMS dataset bookkeeping service

International Nuclear Information System (INIS)

Afaq, A; Guo, Y; Kosyakov, S; Lueking, L; Sekhri, V; Dolgert, A; Jones, C; Kuznetsov, V; Riley, D

2008-01-01

The CMS Dataset Bookkeeping Service (DBS) has been developed to catalog all CMS event data from Monte Carlo and Detector sources. It provides the ability to identify MC or trigger source, track data provenance, construct datasets for analysis, and discover interesting data. CMS requires processing and analysis activities at various service levels and the DBS system provides support for localized processing or private analysis, as well as global access for CMS users at large. Catalog entries can be moved among the various service levels with a simple set of migration tools, thus forming a loose federation of databases. DBS is available to CMS users via a Python API, Command Line, and a Discovery web page interfaces. The system is built as a multi-tier web application with Java servlets running under Tomcat, with connections via JDBC to Oracle or MySQL database backends. Clients connect to the service through HTTP or HTTPS with authentication provided by GRID certificates and authorization through VOMS. DBS is an integral part of the overall CMS Data Management and Workflow Management systems

The CMS dataset bookkeeping service

International Nuclear Information System (INIS)

Afaq, Anzar; Dolgert, Andrew; Guo, Yuyi; Jones, Chris; Kosyakov, Sergey; Kuznetsov, Valentin; Lueking, Lee; Riley, Dan; Sekhri, Vijay

2007-01-01

The CMS Dataset Bookkeeping Service (DBS) has been developed to catalog all CMS event data from Monte Carlo and Detector sources. It provides the ability to identify MC or trigger source, track data provenance, construct datasets for analysis, and discover interesting data. CMS requires processing and analysis activities at various service levels and the DBS system provides support for localized processing or private analysis, as well as global access for CMS users at large. Catalog entries can be moved among the various service levels with a simple set of migration tools, thus forming a loose federation of databases. DBS is available to CMS users via a Python API, Command Line, and a Discovery web page interfaces. The system is built as a multi-tier web application with Java servlets running under Tomcat, with connections via JDBC to Oracle or MySQL database backends. Clients connect to the service through HTTP or HTTPS with authentication provided by GRID certificates and authorization through VOMS. DBS is an integral part of the overall CMS Data Management and Workflow Management systems

Implementación de las TIC como recursos educativos en las aulas

OpenAIRE

Chaves Montero, Alfonso

2018-01-01

El presente estudio examina los usos y experiencias de alumnos y docentes en relación a las redes sociales y las TIC a partir de una propuesta de implementación de un espacio virtual y recursos digitales para la formación, innovación, investigación y consolidación de conocimientos a través de participación activa por parte de los alumnos y docentes. La propuesta refleja la realidad social del uso de las redes sociales y las TIC tanto dentro como fuera de las aulas como nueva...

A cross-country Exchange Market Pressure (EMP dataset

Directory of Open Access Journals (Sweden)

Mohit Desai

2017-06-01

Full Text Available The data presented in this article are related to the research article titled - “An exchange market pressure measure for cross country analysis” (Patnaik et al. [1]. In this article, we present the dataset for Exchange Market Pressure values (EMP for 139 countries along with their conversion factors, ρ (rho. Exchange Market Pressure, expressed in percentage change in exchange rate, measures the change in exchange rate that would have taken place had the central bank not intervened. The conversion factor ρ can interpreted as the change in exchange rate associated with $1 billion of intervention. Estimates of conversion factor ρ allow us to calculate a monthly time series of EMP for 139 countries. Additionally, the dataset contains the 68% confidence interval (high and low values for the point estimates of ρ’s. Using the standard errors of estimates of ρ’s, we obtain one sigma intervals around mean estimates of EMP values. These values are also reported in the dataset.

A cross-country Exchange Market Pressure (EMP) dataset.

Science.gov (United States)

Desai, Mohit; Patnaik, Ila; Felman, Joshua; Shah, Ajay

2017-06-01

The data presented in this article are related to the research article titled - "An exchange market pressure measure for cross country analysis" (Patnaik et al. [1]). In this article, we present the dataset for Exchange Market Pressure values (EMP) for 139 countries along with their conversion factors, ρ (rho). Exchange Market Pressure, expressed in percentage change in exchange rate, measures the change in exchange rate that would have taken place had the central bank not intervened. The conversion factor ρ can interpreted as the change in exchange rate associated with $1 billion of intervention. Estimates of conversion factor ρ allow us to calculate a monthly time series of EMP for 139 countries. Additionally, the dataset contains the 68% confidence interval (high and low values) for the point estimates of ρ 's. Using the standard errors of estimates of ρ 's, we obtain one sigma intervals around mean estimates of EMP values. These values are also reported in the dataset.

Las denominaciones de las ocupaciones

Directory of Open Access Journals (Sweden)

Jesus Emilio Castañeda

1990-04-01

Full Text Available RESUMEN El propósito de este artículo, es mostrar al lector la forma como en nuestro ámbito existen diversos factores que han permitido la proliferación de maneras de llamar las ocupaciones. Aspectos regionales, la tradición, clases de organización, situaciones románticas, adjetivización de los cargos, peyorización  son entre otras razones que han generado  la creación de serie de sinónimos, de las ocupaciones, objeto de estudio de la sociologia del trabajo y de la administración de los recursos humanos.

LA PARTICIPACIÓN DE LAS FAMILIAS EN LAS ESCUELAS TIC: ANÁLISIS Y REFLEXIONES EDUCATIVAS

OpenAIRE

Mª Carmen Aguilar Ramos; Juan J. Leiva Olivencia

2012-01-01

Las experiencias de participación de la familia en la escuela cobran un nuevo significado con las posibilidades que ofrecen las tecnologías de la información y la comunicación (TIC). El presente trabajo aborda algunas de las experiencias que se están desarrollando para implicar a las familias en los centros. Las páginas webs de los centros, la creación de comunidades de aprendizaje y de redes sociales, las tutorías virtuales, los cursos E-learning son algunas de las ofertas novedosas que pode...

Bibliotecas accesibles para todos: pautas para acercar las bibliotecas a las personas con discapacidad y a las personas mayores

OpenAIRE

Centro Estatal de Autonomía Personal y Ayudas Técnicas

2008-01-01

El fuerte componente social, educativo y cultural de las bibliotecas las convierte en instituciones clave para conseguir la plena integración de las personas en situación de vulnerabilidad. Sin embargo, para poder considerar que las bibliotecas son accesibles a toda la sociedad, la persona ha de tener a su alcance todos los servicios y productos culturales que en ellas se ofrecen. Con este objetivo, el Ministerio de Educación, Política Social y Deporte, a través del CEAPAT-IMSERSO, ha present...

LAS ALFABETIZACIONES POSMODERNAS, LAS PUGNAS CULTURALES Y LOS NUEVOS SIGNIFICADOS DE LA CIUDADANIA

Directory of Open Access Journals (Sweden)

JORGE A. HUERGO

1998-01-01

Full Text Available En el trabajo se pasa revista a las vinculaciones entre las alfabetizaciones moderna y posmoderna con las culturales que ellas producen y por las que son producidas. La noción de Alfabetizaciones Posmodernas se describe como correlativa de conflictos culturales que se juegan en los ámbitos educativos. Luego se presentan las narrativas político-culturales dominantes, en relación con el problema de la alfabetización y los modelos de ciudadanía, para finalmente mostrar algunos aspectos de una construcción narrativa poscolonial que enmarque las relaciones entre alfabetizaciones posmodernas y formación ciudadana.

The NASA Subsonic Jet Particle Image Velocimetry (PIV) Dataset

Science.gov (United States)

Bridges, James; Wernet, Mark P.

2011-01-01

Many tasks in fluids engineering require prediction of turbulence of jet flows. The present document documents the single-point statistics of velocity, mean and variance, of cold and hot jet flows. The jet velocities ranged from 0.5 to 1.4 times the ambient speed of sound, and temperatures ranged from unheated to static temperature ratio 2.7. Further, the report assesses the accuracies of the data, e.g., establish uncertainties for the data. This paper covers the following five tasks: (1) Document acquisition and processing procedures used to create the particle image velocimetry (PIV) datasets. (2) Compare PIV data with hotwire and laser Doppler velocimetry (LDV) data published in the open literature. (3) Compare different datasets acquired at the same flow conditions in multiple tests to establish uncertainties. (4) Create a consensus dataset for a range of hot jet flows, including uncertainty bands. (5) Analyze this consensus dataset for self-consistency and compare jet characteristics to those of the open literature. The final objective was fulfilled by using the potential core length and the spread rate of the half-velocity radius to collapse of the mean and turbulent velocity fields over the first 20 jet diameters.

Las actitudes hacia las lenguas y el aprendizaje lingüístico

Directory of Open Access Journals (Sweden)

Judit JANÉS CARULLA

2006-01-01

Full Text Available En el aprendizaje de segundas o terceras lenguas se debe destacar el importante papel que juegan las actitudes lingüísticas. En este artículo, en primer lugar nos acercamos conceptualmente a este tipo de actitudes para después centrarnos en cómo los factores actitudinales y motivacionales influyen en el aprendizaje lingüístico. De acuerdo con lo expuesto y siguiendo la terminología de Lambert, en segundo lugar nos detenemos en cómo el tipo de motivación que tienen los sujetos (instrumental o de integración determina su grado de competencia lingüística y en cómo las actitudes presentes en la familia influyen en las actitudes que desarrollan estos sujetos hacia las otras comunidades lingüísticas. Repasamos también el debate existente entorno a toda esta temática, y subrayamos las principales variables que pueden originar o cambiar las actitudes lingüísticas, realzando el papel de la familia, la escuela y los mass media. Finalmente, resumimos brevemente un estudio centrado en las actitudes ante las lenguas de los escolares de origen inmigrante en Cataluña.

Las mujeres en el mercado de trabajo de las tecnologías

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Ana M. González Ramos

2017-01-01

Full Text Available El mercado laboral tecnológico, donde las mujeres son minoría, representa una oportunidad para el empleo en España. Este trabajo analiza los datos de la Encuesta de Población Activa (EPA respecto a la población ocupada en el sector tecnológico. En primer lugar, se analiza la segregación de género de la población ocupada según sectores económicos y, en segundo lugar, las características de empleo de las mujeres ocupadas en el sector tecnológico. Los resultados indican que las mujeres disponen de buenas expectativas laborales en este sector, pero también indican que sufren un mayor riesgo de sobrecualificación, lo que sugiere la persistencia de factores de discriminación. Por último, las mujeres expresan mayor preocupación que sus colegas hombres respecto a las excesivas jornadas laborales, lo que plantea la necesidad de afrontar un cambio estructural en las organizaciones.

LA ENFERMERÍA COMO GRUPO OPRIMIDO: LAS VOCES DE LAS PROTAGONISTAS

Directory of Open Access Journals (Sweden)

Jose Luis Medina Moya

2010-01-01

Full Text Available Es un estudio etnográfico que tuvo como objetivo analizar las relaciones de poder y dominación desde la perspectiva freireana en la enseñanza de la enfermería y su repercusión en la conformación de una identidad profesional subordinada. Participaron docentes y estudiantes de una de las escuelas universitarias de enfermería españolas y enfermeras asistenciales. Los datos fueron obtenidos por triangulación de métodos: observación participante y no participante y entrevistas. Se registraron en un cuaderno de notas de campo o en cinta magnetofonica y se analizaron mediante el método de las comparaciones constantes. Los resultados muestran mecanismos mediante los cuales las ideologías dominantes en la formación de profesionales de la salud dan forma y contenido a la subjetividad de profesoras y estudiantes dirigiéndolas hacia la conformidad y subordinación para con las prácticas establecidas en las instituciones sanitárias.

Knowledge Mining from Clinical Datasets Using Rough Sets and Backpropagation Neural Network

Directory of Open Access Journals (Sweden)

Kindie Biredagn Nahato

2015-01-01

Full Text Available The availability of clinical datasets and knowledge mining methodologies encourages the researchers to pursue research in extracting knowledge from clinical datasets. Different data mining techniques have been used for mining rules, and mathematical models have been developed to assist the clinician in decision making. The objective of this research is to build a classifier that will predict the presence or absence of a disease by learning from the minimal set of attributes that has been extracted from the clinical dataset. In this work rough set indiscernibility relation method with backpropagation neural network (RS-BPNN is used. This work has two stages. The first stage is handling of missing values to obtain a smooth data set and selection of appropriate attributes from the clinical dataset by indiscernibility relation method. The second stage is classification using backpropagation neural network on the selected reducts of the dataset. The classifier has been tested with hepatitis, Wisconsin breast cancer, and Statlog heart disease datasets obtained from the University of California at Irvine (UCI machine learning repository. The accuracy obtained from the proposed method is 97.3%, 98.6%, and 90.4% for hepatitis, breast cancer, and heart disease, respectively. The proposed system provides an effective classification model for clinical datasets.

Las incubadoras de las empresas de Quebec

Directory of Open Access Journals (Sweden)

Bernardo Parra Restrepo

1993-01-01

Full Text Available Este articulo contiene información de las incubadoras de empresas especialmente aquellas encontradas en Quebec. A través de los 80's, el concepto de incubadoras de empresas fue introducido en América por expertos en el desarrollo económico. Sus metas fueron el estudio de los efectos del desempleo resultante de la quiebra de plantas industriales o del uso del proceso de producción automático por parte de las grandes compañías. Además se esperaba crear empleo para los inmigrantes. El campo más prometedor de estas experiencias se encuentra en el desarrollo de alta tecnología industrial, especialmente en electrónica, microprocesadores y software para sistemas de computación. Esta área también cubre las industrias innovadoras.

Nuevos discursos sobre las ciudades, los municipios y las mujeres

Directory of Open Access Journals (Sweden)

Ana María Goetschel

2009-01-01

Full Text Available Escritora y activista feminista. Estudió Literatura y Periodismo en la Pontificia Universidad Católica del Perú y se gradúo de Magíster en Política Social por la Universidad Nacional Mayor de San Marcos. Por espacio de más de dos décadas se desempeña como profesora en el Diploma de Estudios de Género de la Pontificia Universidad Católica del Perú y como consultora de proyectos de desarrollo en las áreas de planificación, evaluación institucional y enfoque de género para diversas agencias internacionales de cooperación en Perú y otros países de América Latina. Es Investigadora asociada y miembro del Consejo Directivo del Centro Peruano de Estudios Sociales (CEPES. Maruja Barrig acredita un vasto trabajo de investigación sobre empleo femenino, desarrollo local y organizaciones de mujeres. En una reciente conferencia “Nuevos discursos sobre las ciudades, los municipios y las mujeres” , esta investigadora peruana hizo un balance sobre las formas en que el género ha sido incorporado en las prácticas de desarrollo y las consecuencias que conlleva este tipo de intervención para el avance de la agenda del feminismo crítico. Sobre este y otros temas relacionados con su trayectoria intelectual y la acción del movimiento de mujeres en el contexto político actual de las sociedades latinoamericanas, dialogamos con Maruja Barrig.

Spatially-explicit estimation of geographical representation in large-scale species distribution datasets.

Science.gov (United States)

Kalwij, Jesse M; Robertson, Mark P; Ronk, Argo; Zobel, Martin; Pärtel, Meelis

2014-01-01

Much ecological research relies on existing multispecies distribution datasets. Such datasets, however, can vary considerably in quality, extent, resolution or taxonomic coverage. We provide a framework for a spatially-explicit evaluation of geographical representation within large-scale species distribution datasets, using the comparison of an occurrence atlas with a range atlas dataset as a working example. Specifically, we compared occurrence maps for 3773 taxa from the widely-used Atlas Florae Europaeae (AFE) with digitised range maps for 2049 taxa of the lesser-known Atlas of North European Vascular Plants. We calculated the level of agreement at a 50-km spatial resolution using average latitudinal and longitudinal species range, and area of occupancy. Agreement in species distribution was calculated and mapped using Jaccard similarity index and a reduced major axis (RMA) regression analysis of species richness between the entire atlases (5221 taxa in total) and between co-occurring species (601 taxa). We found no difference in distribution ranges or in the area of occupancy frequency distribution, indicating that atlases were sufficiently overlapping for a valid comparison. The similarity index map showed high levels of agreement for central, western, and northern Europe. The RMA regression confirmed that geographical representation of AFE was low in areas with a sparse data recording history (e.g., Russia, Belarus and the Ukraine). For co-occurring species in south-eastern Europe, however, the Atlas of North European Vascular Plants showed remarkably higher richness estimations. Geographical representation of atlas data can be much more heterogeneous than often assumed. Level of agreement between datasets can be used to evaluate geographical representation within datasets. Merging atlases into a single dataset is worthwhile in spite of methodological differences, and helps to fill gaps in our knowledge of species distribution ranges. Species distribution

The Global Precipitation Climatology Project (GPCP) Combined Precipitation Dataset

Science.gov (United States)

Huffman, George J.; Adler, Robert F.; Arkin, Philip; Chang, Alfred; Ferraro, Ralph; Gruber, Arnold; Janowiak, John; McNab, Alan; Rudolf, Bruno; Schneider, Udo

1997-01-01

The Global Precipitation Climatology Project (GPCP) has released the GPCP Version 1 Combined Precipitation Data Set, a global, monthly precipitation dataset covering the period July 1987 through December 1995. The primary product in the dataset is a merged analysis incorporating precipitation estimates from low-orbit-satellite microwave data, geosynchronous-orbit -satellite infrared data, and rain gauge observations. The dataset also contains the individual input fields, a combination of the microwave and infrared satellite estimates, and error estimates for each field. The data are provided on 2.5 deg x 2.5 deg latitude-longitude global grids. Preliminary analyses show general agreement with prior studies of global precipitation and extends prior studies of El Nino-Southern Oscillation precipitation patterns. At the regional scale there are systematic differences with standard climatologies.

A new dataset and algorithm evaluation for mood estimation in music

OpenAIRE

Godec, Primož

2014-01-01

This thesis presents a new dataset of perceived and induced emotions for 200 audio clips. The gathered dataset provides users' perceived and induced emotions for each clip, the association of color, along with demographic and personal data, such as user's emotion state and emotion ratings, genre preference, music experience, among others. With an online survey we collected more than 7000 responses for a dataset of 200 audio excerpts, thus providing about 37 user responses per clip. The foc...

A Large-Scale 3D Object Recognition dataset

DEFF Research Database (Denmark)

Sølund, Thomas; Glent Buch, Anders; Krüger, Norbert

2016-01-01

geometric groups; concave, convex, cylindrical and flat 3D object models. The object models have varying amount of local geometric features to challenge existing local shape feature descriptors in terms of descriptiveness and robustness. The dataset is validated in a benchmark which evaluates the matching...... performance of 7 different state-of-the-art local shape descriptors. Further, we validate the dataset in a 3D object recognition pipeline. Our benchmark shows as expected that local shape feature descriptors without any global point relation across the surface have a poor matching performance with flat...

The Wind Integration National Dataset (WIND) toolkit (Presentation)

Energy Technology Data Exchange (ETDEWEB)

Caroline Draxl: NREL

2014-01-01

Regional wind integration studies require detailed wind power output data at many locations to perform simulations of how the power system will operate under high penetration scenarios. The wind datasets that serve as inputs into the study must realistically reflect the ramping characteristics, spatial and temporal correlations, and capacity factors of the simulated wind plants, as well as being time synchronized with available load profiles.As described in this presentation, the WIND Toolkit fulfills these requirements by providing a state-of-the-art national (US) wind resource, power production and forecast dataset.

An integrated pan-tropical biomass map using multiple reference datasets

NARCIS (Netherlands)

Avitabile, V.; Herold, M.; Heuvelink, G.B.M.; Lewis, S.L.; Phillips, O.L.; Asner, G.P.; Armston, J.; Asthon, P.; Banin, L.F.; Bayol, N.; Berry, N.; Boeckx, P.; Jong, De B.; Devries, B.; Girardin, C.; Kearsley, E.; Lindsell, J.A.; Lopez-gonzalez, G.; Lucas, R.; Malhi, Y.; Morel, A.; Mitchard, E.; Nagy, L.; Qie, L.; Quinones, M.; Ryan, C.M.; Slik, F.; Sunderland, T.; Vaglio Laurin, G.; Valentini, R.; Verbeeck, H.; Wijaya, A.; Willcock, S.

2016-01-01

We combined two existing datasets of vegetation aboveground biomass (AGB) (Proceedings of the National Academy of Sciences of the United States of America, 108, 2011, 9899; Nature Climate Change, 2, 2012, 182) into a pan-tropical AGB map at 1-km resolution using an independent reference dataset of

Las Sinapsis

Directory of Open Access Journals (Sweden)

Jorge Eduardo Duque Parra

1997-12-01

Full Text Available

Introducción

El estudio del sistema nervioso considera entre múltiples conexiones, aquéllas de carácter bioquímico que se median a través de sustancias elaboradas por las neuronas y que reciben la denominación de neurotransmisores’, dichas sustancias se vierten en las zonas de resquicio neuromuscular, neuroneuronal o neuroglandular, para modificar las condiciones de membrana y permitir la continuidad de los potenciales de acción (por creación de nuevos potenciales en las células subsiguientes, de la neurona hacia el órgano blanco.

La integridad de los diversos elementos de la “zona de unión funcional” o sinapsis, asegura la adecuada comunicación entre el sistema nervioso y la mayoría de los elementos restantes del organismo humano.

Las alteraciones de los elementos de las sinapsis, conllevan a la génesis de estados variables fisiológicos y patológicos somáticos, psicosomáticos o psíquicos, inconsecuentes con el estado de homeostasis.

Las moléculas que se vierten en las hendiduras sinápticas, sirven, por tanto, de transductoras para efectos elementales (como los reflejos y en las estrategias complejas (como los de la actividad intelectual.

Antecedentes

Ya desde los tiempos de Galeno, se sabía que los nervios eran los responsables de la rápida comunicación entre el cuerpo y el cerebro; el estudio de las sinapsis nos remonta de manera indirecta a
1791, fecha en la que Luigi Galvani, descubrió en sus experimentos con ancas de ranas, que entre los eventos eléctricos y los ocurridos en los nervios, existía una relación evidente (28,37,45’, los experimentos de Galvani se han refinado con el paso del tiempo, en nuestro siglo por ejemplo, el desarrollo del osciloscopio de rayos catódicos combinado con un amplificador potente, ha permitido medir las débiles y variables corrientes bioeléctricas de los

Comparison of global 3-D aviation emissions datasets

Directory of Open Access Journals (Sweden)

S. C. Olsen

2013-01-01

Full Text Available Aviation emissions are unique from other transportation emissions, e.g., from road transportation and shipping, in that they occur at higher altitudes as well as at the surface. Aviation emissions of carbon dioxide, soot, and water vapor have direct radiative impacts on the Earth's climate system while emissions of nitrogen oxides (NO_x, sulfur oxides, carbon monoxide (CO, and hydrocarbons (HC impact air quality and climate through their effects on ozone, methane, and clouds. The most accurate estimates of the impact of aviation on air quality and climate utilize three-dimensional chemistry-climate models and gridded four dimensional (space and time aviation emissions datasets. We compare five available aviation emissions datasets currently and historically used to evaluate the impact of aviation on climate and air quality: NASA-Boeing 1992, NASA-Boeing 1999, QUANTIFY 2000, Aero2k 2002, and AEDT 2006 and aviation fuel usage estimates from the International Energy Agency. Roughly 90% of all aviation emissions are in the Northern Hemisphere and nearly 60% of all fuelburn and NO_x emissions occur at cruise altitudes in the Northern Hemisphere. While these datasets were created by independent methods and are thus not strictly suitable for analyzing trends they suggest that commercial aviation fuelburn and NO_x emissions increased over the last two decades while HC emissions likely decreased and CO emissions did not change significantly. The bottom-up estimates compared here are consistently lower than International Energy Agency fuelburn statistics although the gap is significantly smaller in the more recent datasets. Overall the emissions distributions are quite similar for fuelburn and NO_x with regional peaks over the populated land masses of North America, Europe, and East Asia. For CO and HC there are relatively larger differences. There are however some distinct differences in the altitude distribution

Aborto en las adolescentes

OpenAIRE

Cedeño Donet, Marisel; García García, María T; Jímenez Mendeliú, Irene M

2000-01-01

Se realizó un estudio descriptivo y transversal sobre el comportamiento del aborto en la población adolescente del territorio occidental de la provincia de Camagüey, desde enero de 1997 hasta agosto de 1998. Se encontró que el 26, 2 % de las jóvenes se realizó un aborto, las regulaciones menstruales fueron el 47, 6 %, el 25 % de las sepsis posinterrupción correspondió a las adolescentes. Más de la cuarta parte de los abortos realizados en la Provincia corresponde a las menores de 20 años. Cas...

Estudio de las Startups

OpenAIRE

Rodríguez Reina, Cristina

2016-01-01

Este trabajo trata de analizar las pautas a la hora de poner en marcha una startup. Se explica el método que hay que seguir (Lean Startup), se expone una breve biografía de su autor, se muestran las distintas fases por las que atraviesa, las formas de financiación, así como una serie de puntos que servirán de ayuda para adentrarse en este mundo tan novedoso y hasta entonces tan poco conocido, como es el de la startups. Dentro del ámbito de las startups, se explicará el tema ...

Las transformaciones regionales de las economías campesinas en Colombia

Directory of Open Access Journals (Sweden)

Vargas Velásquez Alejo

1990-12-01

Full Text Available

La dinámica de las relaciones sociales que articulan a las economías campesinas en Colombia es el objeto de este articulo. Para explicar la importancia de esta forma de producción en el mundo rural se contemplan dos dimensiones de análisis: la dimensión regional, que busca dar cuenta de las especificidades de la estructura agraria colombiana. Aquí se consideran los casos particulares de la comarca de la Región de Los Andes Orientales (Mílga y Duitama y dos comarcas de la región Valle-Tolima-Huila (Cali y Tuluá. En segundo lugar se considera la dimensión histórica, la cual permite apreciar las transformaciones sufridas por las economías campesinas en cada espacio regional. El rango histórico escogido considera los últimos cincuenta años dado que es en este periodo donde se observan los procesos más significativos de penetración del capital en el campo colombiano. Se presentan los elementos cualitativos más relevantes de los procesos acaecidos en las economías campesinas de las comarcas arriba mencionadas presentando, en segundo lugar, una síntesis interpretativa de los factores más significativos que han influenciado estas transformaciones. Se concluye fijando una posición en referencia a los debates descritos y, sugiriendo algunos puntos que buscan aportar a la creación de un nuevo contexto económico y social que faculte el desarrollo de las economías campesinas en Colombia.

Global Human Built-up And Settlement Extent (HBASE) Dataset From Landsat

Data.gov (United States)

National Aeronautics and Space Administration — The Global Human Built-up And Settlement Extent (HBASE) Dataset from Landsat is a global map of HBASE derived from the Global Land Survey (GLS) Landsat dataset for...

Passive Containment DataSet

Science.gov (United States)

This data is for Figures 6 and 7 in the journal article. The data also includes the two EPANET input files used for the analysis described in the paper, one for the looped system and one for the block system.This dataset is associated with the following publication:Grayman, W., R. Murray , and D. Savic. Redesign of Water Distribution Systems for Passive Containment of Contamination. JOURNAL OF THE AMERICAN WATER WORKS ASSOCIATION. American Water Works Association, Denver, CO, USA, 108(7): 381-391, (2016).

De las utopías socialistas a las utopías patronales

Directory of Open Access Journals (Sweden)

JOSÉ SIERRA ÁLVAREZ

1984-01-01

Full Text Available Este artículo es una parte de un trabajo más extenso que prentende elaborar un modelo interpretativo de las estrategias de gestión de los empresarios durante las primeras fases del capitalismo industrial. Las instituciones paternalistas de los empresarios (vivienda, asistencia sanitaria, tiendas con descuento, etc. se estudian en términos de disciplina, formación para la producción y control político de la fuerza de trabajo. Se intenta demostrar que hay una continuidad genealógica entre los propósitos de las comunidades utópicas de principios del siglo XIX y las comunidades de trabajadores creadas por los empresarios en la segunda mitad de dicho siglo. Se indica cómo dicha continuidad sólo pudo producirse debido a la revisión y distorsión que las teorías de los socialistas utópicos sufrieron por parte de sus seguidores.

USOS DE LAS PALMAS EN LAS TIERRAS BAJAS DEL PACÍFICO COLOMBIANO

Directory of Open Access Journals (Sweden)

EVA DOLORES LEDEZMA-RENTERÍA

2014-06-01

Full Text Available Con el fin de evaluar el conocimiento sobre usos de las palmas en el Pacífico colombiano, para orientar las investigaciones futuras y para definir patrones generales de uso en la región, estudiamos las fuentes de información que documentan usos en esta región. Se registraron 90 tipos de usos en 52 especies de palmas útiles en el Pacífico, que equivalen al 61 % de las palmas que crecen en la región. Los usos se agruparon en ocho categorías de uso y 30 subcategorías; las categorías de uso más importantes fueron construcción, utensilios y herramientas, y alimentación humana. Las especies que registraron mayor número de usos fueron Bactris gasipaes, Astrocaryum standleyanum, Oenocarpus bataua, Euterpe oleracea, Oenocarpus minor, Cocos nucifera, Attalea cuatrecasana, Iriartea deltoidea, Desmoncus cirrhifer y Wettinia quinaria.

The Lunar Source Disk: Old Lunar Datasets on a New CD-ROM

Science.gov (United States)

Hiesinger, H.

1998-01-01

A compilation of previously published datasets on CD-ROM is presented. This Lunar Source Disk is intended to be a first step in the improvement/expansion of the Lunar Consortium Disk, in order to create an "image-cube"-like data pool that can be easily accessed and might be useful for a variety of future lunar investigations. All datasets were transformed to a standard map projection that allows direct comparison of different types of information on a pixel-by pixel basis. Lunar observations have a long history and have been important to mankind for centuries, notably since the work of Plutarch and Galileo. As a consequence of centuries of lunar investigations, knowledge of the characteristics and properties of the Moon has accumulated over time. However, a side effect of this accumulation is that it has become more and more complicated for scientists to review all the datasets obtained through different techniques, to interpret them properly, to recognize their weaknesses and strengths in detail, and to combine them synoptically in geologic interpretations. Such synoptic geologic interpretations are crucial for the study of planetary bodies through remote-sensing data in order to avoid misinterpretation. In addition, many of the modem datasets, derived from Earth-based telescopes as well as from spacecraft missions, are acquired at different geometric and radiometric conditions. These differences make it challenging to compare or combine datasets directly or to extract information from different datasets on a pixel-by-pixel basis. Also, as there is no convention for the presentation of lunar datasets, different authors choose different map projections, depending on the location of the investigated areas and their personal interests. Insufficient or incomplete information on the map parameters used by different authors further complicates the reprojection of these datasets to a standard geometry. The goal of our efforts was to transfer previously published lunar

Gridded 5km GHCN-Daily Temperature and Precipitation Dataset, Version 1

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The Gridded 5km GHCN-Daily Temperature and Precipitation Dataset (nClimGrid) consists of four climate variables derived from the GHCN-D dataset: maximum temperature,...

ENHANCED DATA DISCOVERABILITY FOR IN SITU HYPERSPECTRAL DATASETS

Directory of Open Access Journals (Sweden)

B. Rasaiah

2016-06-01

Full Text Available Field spectroscopic metadata is a central component in the quality assurance, reliability, and discoverability of hyperspectral data and the products derived from it. Cataloguing, mining, and interoperability of these datasets rely upon the robustness of metadata protocols for field spectroscopy, and on the software architecture to support the exchange of these datasets. Currently no standard for in situ spectroscopy data or metadata protocols exist. This inhibits the effective sharing of growing volumes of in situ spectroscopy datasets, to exploit the benefits of integrating with the evolving range of data sharing platforms. A core metadataset for field spectroscopy was introduced by Rasaiah et al., (2011-2015 with extended support for specific applications. This paper presents a prototype model for an OGC and ISO compliant platform-independent metadata discovery service aligned to the specific requirements of field spectroscopy. In this study, a proof-of-concept metadata catalogue has been described and deployed in a cloud-based architecture as a demonstration of an operationalized field spectroscopy metadata standard and web-based discovery service.

El outsourcing en el desempeño de las exportaciones de las empresas

Directory of Open Access Journals (Sweden)

Sergio Garcilazo Lagunes

2012-01-01

Full Text Available En este artículo se examina el efecto del outsourcing en el desempeño de las exportaciones de las empresas. El análisis se basa en las teorías de los negocios internacionales y el punto de vista de los recursos y la economía de los costos de transacción, según los cuales el outsourcing en el extranjero ayuda a las empresas -directa o indirectamente- a exportar más, a reducir sus costos de producción y a aumentar la flexibilidad de la empresa; además, puede proporcionar nuevos recursos y conocimientos del mercado. Sin embargo, el impacto del outsourcing internacional depende de los recursos y las capacidades de las empresas para gestionar una red de proveedores extranjeros y para absorber los conocimientos extranjeros. Usando una base de datos de alrededor de mil empresas de fabricación en México de 2007, se encontró que las operaciones de outsourcing en el extranjero aumenta el rendimiento de la exportación, los efectos son más fuertes en los mercados de exportación de donde las empresas importan los bienes intermedios. Los resultados también muestran que el tamaño de la empresa, la organización de las importaciones intrafirma y la experiencia en la exportación moderan los efectos del outsourcing de manera positiva. Estos resultados tienen implicaciones para las empresas y los políticos responsables del diseño de políticas.

Las mujeres lacandonas: cambios recientes

Directory of Open Access Journals (Sweden)

Lucie Nečasová

2010-08-01

Full Text Available El artículo se enfoca en los cambios en la vida de las mujeres lacandonas contemporáneas. Analiza cómo se han modificado el modo de la vida, las costumbres y las relaciones de la mujer dentro de las propias familias pero también dentro de la sociedad y la comunidad. El objetivo es mostrar los cambios reflejados en la vida de las mujeres de tres generaciones. El estudio está basado en las etnografías disponibles combinadas con el propio trabajo de campo realizado en las comunidades Lacanjá y Nahá en los años 2008 y 2009.

Environmental Dataset Gateway (EDG) CS-W Interface

Data.gov (United States)

U.S. Environmental Protection Agency — Use the Environmental Dataset Gateway (EDG) to find and access EPA's environmental resources. Many options are available for easily reusing EDG content in other...

Violencia contra las mujeres: las dimensiones de la desigualdad

OpenAIRE

Ana Isabel Blanco García

2008-01-01

En este número entraremos directamente en el debate acerca de la "Violencia contra las mujeres: las dimensiones de a desigualdad", que desde hace unos años recorre todo el sustrato del pensamiento feminista y del que en buena medida es deudor el propio título de nuestra revista.

Annotating spatio-temporal datasets for meaningful analysis in the Web

Science.gov (United States)

Stasch, Christoph; Pebesma, Edzer; Scheider, Simon

2014-05-01

More and more environmental datasets that vary in space and time are available in the Web. This comes along with an advantage of using the data for other purposes than originally foreseen, but also with the danger that users may apply inappropriate analysis procedures due to lack of important assumptions made during the data collection process. In order to guide towards a meaningful (statistical) analysis of spatio-temporal datasets available in the Web, we have developed a Higher-Order-Logic formalism that captures some relevant assumptions in our previous work [1]. It allows to proof on meaningful spatial prediction and aggregation in a semi-automated fashion. In this poster presentation, we will present a concept for annotating spatio-temporal datasets available in the Web with concepts defined in our formalism. Therefore, we have defined a subset of the formalism as a Web Ontology Language (OWL) pattern. It allows capturing the distinction between the different spatio-temporal variable types, i.e. point patterns, fields, lattices and trajectories, that in turn determine whether a particular dataset can be interpolated or aggregated in a meaningful way using a certain procedure. The actual annotations that link spatio-temporal datasets with the concepts in the ontology pattern are provided as Linked Data. In order to allow data producers to add the annotations to their datasets, we have implemented a Web portal that uses a triple store at the backend to store the annotations and to make them available in the Linked Data cloud. Furthermore, we have implemented functions in the statistical environment R to retrieve the RDF annotations and, based on these annotations, to support a stronger typing of spatio-temporal datatypes guiding towards a meaningful analysis in R. [1] Stasch, C., Scheider, S., Pebesma, E., Kuhn, W. (2014): "Meaningful spatial prediction and aggregation", Environmental Modelling & Software, 51, 149-165.

LAS NORMAS JURÍDICAS Y LAS POLÍTICAS PÚBLICAS SOBRE BOSQUES CULTIVADOS EN LAS REGIONES DEL CENTRO Y DE PATAGONIA EN ARGENTINA

Directory of Open Access Journals (Sweden)

C. M. MINAVERRY

2017-08-01

Full Text Available El eje central de este trabajo es analizar el nivel de desarrollo de las normas jurídicas, de las políticas públicas, y de la idoneidad de las autoridades de aplicación sobre bosques cultivados, en las regiones del Centro y de la Patagonia en Argentina. Se trata de una investigación de carácter exploratorio, donde se aplicó el método de la hermenéutica jurídica y los indicadores ambientales PER. Se puede concluir que los niveles de desarrollo normativo de las provincias no son uniformes, y que la mayoría de las normas jurídicas y de las políticas públicas tienden a establecer incentivos económicos para aprovechar el efecto del mercado, sin orientarse hacia una protección integral de los ecosistemas boscosos, y que las autoridades de aplicación en su mayoría no son técnicamente adecuadas para eso.

Evolving hard problems: Generating human genetics datasets with a complex etiology

Directory of Open Access Journals (Sweden)

Himmelstein Daniel S

2011-07-01

Full Text Available Abstract Background A goal of human genetics is to discover genetic factors that influence individuals' susceptibility to common diseases. Most common diseases are thought to result from the joint failure of two or more interacting components instead of single component failures. This greatly complicates both the task of selecting informative genetic variants and the task of modeling interactions between them. We and others have previously developed algorithms to detect and model the relationships between these genetic factors and disease. Previously these methods have been evaluated with datasets simulated according to pre-defined genetic models. Results Here we develop and evaluate a model free evolution strategy to generate datasets which display a complex relationship between individual genotype and disease susceptibility. We show that this model free approach is capable of generating a diverse array of datasets with distinct gene-disease relationships for an arbitrary interaction order and sample size. We specifically generate eight-hundred Pareto fronts; one for each independent run of our algorithm. In each run the predictiveness of single genetic variation and pairs of genetic variants have been minimized, while the predictiveness of third, fourth, or fifth-order combinations is maximized. Two hundred runs of the algorithm are further dedicated to creating datasets with predictive four or five order interactions and minimized lower-level effects. Conclusions This method and the resulting datasets will allow the capabilities of novel methods to be tested without pre-specified genetic models. This allows researchers to evaluate which methods will succeed on human genetics problems where the model is not known in advance. We further make freely available to the community the entire Pareto-optimal front of datasets from each run so that novel methods may be rigorously evaluated. These 76,600 datasets are available from http://discovery.dartmouth.edu/model_free_data/.

A Dataset from TIMSS to Examine the Relationship between Computer Use and Mathematics Achievement

Science.gov (United States)

Kadijevich, Djordje M.

2015-01-01

Because the relationship between computer use and achievement is still puzzling, there is a need to prepare and analyze good quality datasets on computer use and achievement. Such a dataset can be derived from TIMSS data. This paper describes how this dataset can be prepared. It also gives an example of how the dataset may be analyzed. The…

Humanización de las relaciones interpersonales en las organizaciones

Directory of Open Access Journals (Sweden)

Anabell Montoya Lozano

2006-01-01

Full Text Available A través de la historia los administradores se han dedicado a dirigir las empresas sin tener en cuenta que su componente central y relevante es el hombre, a quien se le ha relegado al plano de recurso, olvidando su humanidad y su complejidad y el hecho de que se compone de elementos racio nales y emotivos que lo hacen único. La motivación principal del hombre es la búsqueda de la felicidad, y puede conseguirla en el entorno empresarial siempre y cuando las organizaciones estén dirigidas por líderes conscientes de la importancia de los seres humanos en las mismas. A pesar de lo anterior, el rol de los administradores se ha destacado por el énfasis en el logro de los objetivos de la empresa y la falta de apoyo al crecimiento personal de los trabajadores. Es el momento de comenzar a cuestionarnos nuestro verdadero papel como rectores de destinos humanos en las organizaciones y de preparar a las nuevas generaciones de administradores para el rescate de la importancia del ser humano al interior de éstas.

Una escuela de todas (las personas) para todas (las personas)

OpenAIRE

Montolio Pastor, Rosa; Cervellera Martínez, Luiso

2008-01-01

Escuela 2 representa una particular manera de entender la educación. Un proyecto educativo nacido de la cooperación entre las personas, concebido para albergar todo un universo de realidades y gestionado de manera colaborativa bajo los principios de la economía social y el movimiento cooperativo. Una escuela de todas, las personas, para todas, las personas. Una escuela decidida a hacer realidad los principios de la inclusión educativa desde el día a día, esforzada por resituar a cada paso su ...

Aprendizaje dialógico en las matemáticas y en las ciencias

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Javier Díez-Palomar

2010-01-01

Full Text Available Este artículo aborda la aplicación del aprendizaje dialógico a la enseñanza de las ciencias y de las matemáticas. A partir del análisis de dos estudios de caso desarrollados en dos Comunidades de Aprendizaje, se discuten las implicaciones educativas que tiene el uso de los "grupos interactivos" tal y como se definen (y aplican en las Comunidades de Aprendizaje. Los resultados sugieren que este tipo de funcionamiento transforma las dinámicas del aula, fomenta interacciones basadas en el aprendizaje instrumental y en consecuencia tiene como resultado un mayor aprendizaje de matemáticas y ciencias.

Léxico y variación : las denominaciones de las partes del ojo

OpenAIRE

Julià Luna, Carolina

2007-01-01

En el presente trabajo de investigación se analizan las características etimológicas, semánticas y dialectales del léxico de las partes del ojo a partir de las informaciones léxicas que atesoran los atlas lingüísticos del español, catalán y gallego elaborados en la Península Ibérica. Se estudian individualmente las diferentes designaciones que en las distintas zonas lingüísticas de la Península se recogen en los mapas de cinco conceptos referidos al ojo (la ‘ceja', el ‘párpado', la ‘pestaña',...

A new dataset validation system for the Planetary Science Archive

Science.gov (United States)

Manaud, N.; Zender, J.; Heather, D.; Martinez, S.

2007-08-01

The Planetary Science Archive is the official archive for the Mars Express mission. It has received its first data by the end of 2004. These data are delivered by the PI teams to the PSA team as datasets, which are formatted conform to the Planetary Data System (PDS). The PI teams are responsible for analyzing and calibrating the instrument data as well as the production of reduced and calibrated data. They are also responsible of the scientific validation of these data. ESA is responsible of the long-term data archiving and distribution to the scientific community and must ensure, in this regard, that all archived products meet quality. To do so, an archive peer-review is used to control the quality of the Mars Express science data archiving process. However a full validation of its content is missing. An independent review board recently recommended that the completeness of the archive as well as the consistency of the delivered data should be validated following well-defined procedures. A new validation software tool is being developed to complete the overall data quality control system functionality. This new tool aims to improve the quality of data and services provided to the scientific community through the PSA, and shall allow to track anomalies in and to control the completeness of datasets. It shall ensure that the PSA end-users: (1) can rely on the result of their queries, (2) will get data products that are suitable for scientific analysis, (3) can find all science data acquired during a mission. We defined dataset validation as the verification and assessment process to check the dataset content against pre-defined top-level criteria, which represent the general characteristics of good quality datasets. The dataset content that is checked includes the data and all types of information that are essential in the process of deriving scientific results and those interfacing with the PSA database. The validation software tool is a multi-mission tool that

Data Recommender: An Alternative Way to Discover Open Scientific Datasets

Science.gov (United States)

Klump, J. F.; Devaraju, A.; Williams, G.; Hogan, D.; Davy, R.; Page, J.; Singh, D.; Peterson, N.

2017-12-01

Over the past few years, institutions and government agencies have adopted policies to openly release their data, which has resulted in huge amounts of open data becoming available on the web. When trying to discover the data, users face two challenges: an overload of choice and the limitations of the existing data search tools. On the one hand, there are too many datasets to choose from, and therefore, users need to spend considerable effort to find the datasets most relevant to their research. On the other hand, data portals commonly offer keyword and faceted search, which depend fully on the user queries to search and rank relevant datasets. Consequently, keyword and faceted search may return loosely related or irrelevant results, although the results may contain the same query. They may also return highly specific results that depend more on how well metadata was authored. They do not account well for variance in metadata due to variance in author styles and preferences. The top-ranked results may also come from the same data collection, and users are unlikely to discover new and interesting datasets. These search modes mainly suits users who can express their information needs in terms of the structure and terminology of the data portals, but may pose a challenge otherwise. The above challenges reflect that we need a solution that delivers the most relevant (i.e., similar and serendipitous) datasets to users, beyond the existing search functionalities on the portals. A recommender system is an information filtering system that presents users with relevant and interesting contents based on users' context and preferences. Delivering data recommendations to users can make data discovery easier, and as a result may enhance user engagement with the portal. We developed a hybrid data recommendation approach for the CSIRO Data Access Portal. The approach leverages existing recommendation techniques (e.g., content-based filtering and item co-occurrence) to produce

Data assimilation and model evaluation experiment datasets

Science.gov (United States)

Lai, Chung-Cheng A.; Qian, Wen; Glenn, Scott M.

1994-01-01

The Institute for Naval Oceanography, in cooperation with Naval Research Laboratories and universities, executed the Data Assimilation and Model Evaluation Experiment (DAMEE) for the Gulf Stream region during fiscal years 1991-1993. Enormous effort has gone into the preparation of several high-quality and consistent datasets for model initialization and verification. This paper describes the preparation process, the temporal and spatial scopes, the contents, the structure, etc., of these datasets. The goal of DAMEE and the need of data for the four phases of experiment are briefly stated. The preparation of DAMEE datasets consisted of a series of processes: (1) collection of observational data; (2) analysis and interpretation; (3) interpolation using the Optimum Thermal Interpolation System package; (4) quality control and re-analysis; and (5) data archiving and software documentation. The data products from these processes included a time series of 3D fields of temperature and salinity, 2D fields of surface dynamic height and mixed-layer depth, analysis of the Gulf Stream and rings system, and bathythermograph profiles. To date, these are the most detailed and high-quality data for mesoscale ocean modeling, data assimilation, and forecasting research. Feedback from ocean modeling groups who tested this data was incorporated into its refinement. Suggestions for DAMEE data usages include (1) ocean modeling and data assimilation studies, (2) diagnosis and theoretical studies, and (3) comparisons with locally detailed observations.

Artificial intelligence (AI) systems for interpreting complex medical datasets.

Science.gov (United States)

Altman, R B

2017-05-01

Advances in machine intelligence have created powerful capabilities in algorithms that find hidden patterns in data, classify objects based on their measured characteristics, and associate similar patients/diseases/drugs based on common features. However, artificial intelligence (AI) applications in medical data have several technical challenges: complex and heterogeneous datasets, noisy medical datasets, and explaining their output to users. There are also social challenges related to intellectual property, data provenance, regulatory issues, economics, and liability. © 2017 ASCPT.

Full-Scale Approximations of Spatio-Temporal Covariance Models for Large Datasets

KAUST Repository

Zhang, Bohai; Sang, Huiyan; Huang, Jianhua Z.

2014-01-01

of dataset and application of such models is not feasible for large datasets. This article extends the full-scale approximation (FSA) approach by Sang and Huang (2012) to the spatio-temporal context to reduce computational complexity. A reversible jump Markov

PERFORMANCE COMPARISON FOR INTRUSION DETECTION SYSTEM USING NEURAL NETWORK WITH KDD DATASET

Directory of Open Access Journals (Sweden)

S. Devaraju

2014-04-01

Full Text Available Intrusion Detection Systems are challenging task for finding the user as normal user or attack user in any organizational information systems or IT Industry. The Intrusion Detection System is an effective method to deal with the kinds of problem in networks. Different classifiers are used to detect the different kinds of attacks in networks. In this paper, the performance of intrusion detection is compared with various neural network classifiers. In the proposed research the four types of classifiers used are Feed Forward Neural Network (FFNN, Generalized Regression Neural Network (GRNN, Probabilistic Neural Network (PNN and Radial Basis Neural Network (RBNN. The performance of the full featured KDD Cup 1999 dataset is compared with that of the reduced featured KDD Cup 1999 dataset. The MATLAB software is used to train and test the dataset and the efficiency and False Alarm Rate is measured. It is proved that the reduced dataset is performing better than the full featured dataset.

Review of ATLAS Open Data 8 TeV datasets, tools and activities

CERN Document Server

The ATLAS collaboration

2018-01-01

The ATLAS Collaboration has released two 8 TeV datasets and relevant simulated samples to the public for educational use. A number of groups within ATLAS have used these ATLAS Open Data 8 TeV datasets, developing tools and educational material to promote particle physics. The general aim of these activities is to provide simple and user-friendly interactive interfaces to simulate the procedures used by high-energy physics researchers. International Masterclasses introduce particle physics to high school students and have been studying 8 TeV ATLAS Open Data since 2015. Inspired by this success, a new ATLAS Open Data initiative was launched in 2016 for university students. A comprehensive educational platform was thus developed featuring a second 8 TeV dataset and a new set of educational tools. The 8 TeV datasets and associated tools are presented and discussed here, as well as a selection of activities studying the ATLAS Open Data 8 TeV datasets.

Recent Development on the NOAA's Global Surface Temperature Dataset

Science.gov (United States)

Zhang, H. M.; Huang, B.; Boyer, T.; Lawrimore, J. H.; Menne, M. J.; Rennie, J.

2016-12-01

Global Surface Temperature (GST) is one of the most widely used indicators for climate trend and extreme analyses. A widely used GST dataset is the NOAA merged land-ocean surface temperature dataset known as NOAAGlobalTemp (formerly MLOST). The NOAAGlobalTemp had recently been updated from version 3.5.4 to version 4. The update includes a significant improvement in the ocean surface component (Extended Reconstructed Sea Surface Temperature or ERSST, from version 3b to version 4) which resulted in an increased temperature trends in recent decades. Since then, advancements in both the ocean component (ERSST) and land component (GHCN-Monthly) have been made, including the inclusion of Argo float SSTs and expanded EOT modes in ERSST, and the use of ISTI databank in GHCN-Monthly. In this presentation, we describe the impact of those improvements on the merged global temperature dataset, in terms of global trends and other aspects.

The OXL format for the exchange of integrated datasets

Directory of Open Access Journals (Sweden)

Taubert Jan

2007-12-01

Full Text Available A prerequisite for systems biology is the integration and analysis of heterogeneous experimental data stored in hundreds of life-science databases and millions of scientific publications. Several standardised formats for the exchange of specific kinds of biological information exist. Such exchange languages facilitate the integration process; however they are not designed to transport integrated datasets. A format for exchanging integrated datasets needs to i cover data from a broad range of application domains, ii be flexible and extensible to combine many different complex data structures, iii include metadata and semantic definitions, iv include inferred information, v identify the original data source for integrated entities and vi transport large integrated datasets. Unfortunately, none of the exchange formats from the biological domain (e.g. BioPAX, MAGE-ML, PSI-MI, SBML or the generic approaches (RDF, OWL fulfil these requirements in a systematic way.

Violencia contra las mujeres: las dimensiones de la desigualdad

Directory of Open Access Journals (Sweden)

Ana Isabel Blanco García

2008-12-01

Full Text Available En este número entraremos directamente en el debate acerca de la "Violencia contra las mujeres: las dimensiones de a desigualdad", que desde hace unos años recorre todo el sustrato del pensamiento feminista y del que en buena medida es deudor el propio título de nuestra revista.

Museo de las Ciencias. Centro y Foro Internacional de las Ciencias

Directory of Open Access Journals (Sweden)

Calatrava Valls, Santiago

2000-12-01

Full Text Available The Museum is located in the far east of Valencia's "Ciudad de las Artes y las Ciencias" Like a big universal exhibition pavilion, a longitudinal building was engendered from the modular development of its transversal section in all length of the assigned plot. The front part acts like final top of the building, symmetrically with a tensional image of subjection of the different modules repeated like side buttres. The building is configurated like a big roof suported, in the north side, by a glassed transparent front and, in the south, by an opaque one, both adapted to the particular sunny conditions due to Valencia's geographycal situation.El edificio del Museo de las Ciencias se sitúa en el extremo Este de la Ciudad de las Artes y las Ciencias de Valencia , A la manera de los grandes pabellones de las exposiciones universales, se genera un edificio longitudinal a partir del desarrollo modular de su sección transversal, en toda la longitud de la parcela asignada. Los testeros asumen su carácter de remate final del edificio de modo simétrico, con una imagen tensión al de sujeción de los distintos módulos, repetidos a la manera de contrafuertes laterales. Así, el edificio se configura como una gran cubierta soportada por una fachada vidriada y transparente al Norte y por una fachada Sur, convenientemente opaca, ambas adaptadas a las particulares condiciones de soleamiento derivadas de la orientación en Valencia,

Developing a Data-Set for Stereopsis

Directory of Open Access Journals (Sweden)

D.W Hunter

2014-08-01

Full Text Available Current research on binocular stereopsis in humans and non-human primates has been limited by a lack of available data-sets. Current data-sets fall into two categories; stereo-image sets with vergence but no ranging information (Hibbard, 2008, Vision Research, 48(12, 1427-1439 or combinations of depth information with binocular images and video taken from cameras in fixed fronto-parallel configurations exhibiting neither vergence or focus effects (Hirschmuller & Scharstein, 2007, IEEE Conf. Computer Vision and Pattern Recognition. The techniques for generating depth information are also imperfect. Depth information is normally inaccurate or simply missing near edges and on partially occluded surfaces. For many areas of vision research these are the most interesting parts of the image (Goutcher, Hunter, Hibbard, 2013, i-Perception, 4(7, 484; Scarfe & Hibbard, 2013, Vision Research. Using state-of-the-art open-source ray-tracing software (PBRT as a back-end, our intention is to release a set of tools that will allow researchers in this field to generate artificial binocular stereoscopic data-sets. Although not as realistic as photographs, computer generated images have significant advantages in terms of control over the final output and ground-truth information about scene depth is easily calculated at all points in the scene, even partially occluded areas. While individual researchers have been developing similar stimuli by hand for many decades, we hope that our software will greatly reduce the time and difficulty of creating naturalistic binocular stimuli. Our intension in making this presentation is to elicit feedback from the vision community about what sort of features would be desirable in such software.

BASE MAP DATASET, MAYES COUNTY, OKLAHOMA, USA

Data.gov (United States)

Federal Emergency Management Agency, Department of Homeland Security — FEMA Framework Basemap datasets comprise six of the seven FGDC themes of geospatial data that are used by most GIS applications: cadastral, geodetic control,...

PENERAPAN TEKNIK BAGGING PADA ALGORITMA KLASIFIKASI UNTUK MENGATASI KETIDAKSEIMBANGAN KELAS DATASET MEDIS

Directory of Open Access Journals (Sweden)

Rizki Tri Prasetio

2016-03-01

Full Text Available ABSTRACT – The class imbalance problems have been reported to severely hinder classification performance of many standard learning algorithms, and have attracted a great deal of attention from researchers of different fields. Therefore, a number of methods, such as sampling methods, cost-sensitive learning methods, and bagging and boosting based ensemble methods, have been proposed to solve these problems. Some medical dataset has two classes has two classes or binominal experiencing an imbalance that causes lack of accuracy in classification. This research proposed a combination technique of bagging and algorithms of classification to improve the accuracy of medical datasets. Bagging technique used to solve the problem of imbalanced class. The proposed method is applied on three classifier algorithm i.e., naïve bayes, decision tree and k-nearest neighbor. This research uses five medical datasets obtained from UCI Machine Learning i.e.., breast-cancer, liver-disorder, heart-disease, pima-diabetes and vertebral column. Results of this research indicate that the proposed method makes a significant improvement on two algorithms of classification i.e. decision tree with p value of t-Test 0.0184 and k-nearest neighbor with p value of t-Test 0.0292, but not significant in naïve bayes with p value of t-Test 0.9236. After bagging technique applied at five medical datasets, naïve bayes has the highest accuracy for breast-cancer dataset of 96.14% with AUC of 0.984, heart-disease of 84.44% with AUC of 0.911 and pima-diabetes of 74.73% with AUC of 0.806. While the k-nearest neighbor has the best accuracy for dataset liver-disorder of 62.03% with AUC of 0.632 and vertebral-column of 82.26% with the AUC of 0.867. Keywords: ensemble technique, bagging, imbalanced class, medical dataset. ABSTRAKSI – Masalah ketidakseimbangan kelas telah dilaporkan sangat menghambat kinerja klasifikasi banyak algoritma klasifikasi dan telah menarik banyak perhatian dari

Las ruinas y las sombras de Manderley

Directory of Open Access Journals (Sweden)

Donapetry Camacho, María

2010-02-01

Full Text Available The ruins and the shadows of Manderley explores possible reciprocal interpretative relations between Daphne du Maurier’s novel Rebecca and Alfred Hitchcock’s cinematic version. Some of the relevant aspects considered here are: the treatment of the Derridean “ruins of memory” within the novel and within Hitchcock himself, the differentiation and the confrontation of the protagonist as outsider vis á vis the world of Manderley’s insiders, the iconic and symbolic values of the literary text and its filmic visualization, and the ethical positions implied by the choice or rejection of certain narrative devices in both works.

Las ruinas y las sombras de Manderley aborda posibles relaciones interpretativas recíprocas entre la novela de Daphne du Maurier Rebecca y la película homónima de Alfred Hitchcock. Algunos de los aspectos que se consideran relevantes en este estudio son: el tratamiento de las “ruinas de la memoria” derridianas dentro de la novela y del propio Hitchcock, la diferenciación y el enfrentamiento de la protagonista “externa” con el mundo de los “internos” de Manderley, los valores icónicos y simbólicos del texto literario y de la visualización fílmica, y las posiciones éticas que implican la elección o el rechazo de ciertos recursos narrativos en ambas obras.

Las herramientas del marketing y las tics: su uso en las Pymes para el desarrollo empresarial

Directory of Open Access Journals (Sweden)

Dianexy Carreño Villavicencio

2015-12-01

Full Text Available El mundo del marketing ha cambiado significativamente en los últimos años debido, en gran parte, al surgimiento del Internet como herramienta de investigación y búsqueda. Este se ha constituido en uno de los elementos  tecnológicos  más significantes  dentro  del ambiente empresarial. La facilidad que el Internet ofrece a las empresas para acceder a información y proveer datos relacionados  a las transacciones  de negocio,  habilita a dichas empresas  a lograr mayores resultados en su estrategia de marketing. Independientemente del tamaño de la empresa, el Internet ha permitido que estas hayan cambiado la forma de acceder y proveer información.  Este, además,  ha sentado nuevas pautas en la manera de comprar, buscar, recopilar  y aprender.  En este  estudio,  realizado  en  la  ciudad  de  Manta  -  Ecuador,  los resultados demuestran que todas las pymes están conectadas al Internet y solo 3 de cada 10 tienen departamento de marketing  y no emplean adecuadamente  las herramientas que el marketing y las TIC les proporcionan   para alcanzar un mejor desarrollo empresarial. La investigación   realizada   fue cualitativa,   usándose   la   técnica   de   la   encuesta    para  el levantamiento de la información. Por tanto, puede afirmarse que no existe una cultura de marketing en las pymes de la ciudad de Manta - Ecuador. Palabras clave: Generalidades, marketing, publicidad, otros.

CERC Dataset (Full Hadza Data)

DEFF Research Database (Denmark)

2016-01-01

The dataset includes demographic, behavioral, and religiosity data from eight different populations from around the world. The samples were drawn from: (1) Coastal and (2) Inland Tanna, Vanuatu; (3) Hadzaland, Tanzania; (4) Lovu, Fiji; (5) Pointe aux Piment, Mauritius; (6) Pesqueiro, Brazil; (7......) Kyzyl, Tyva Republic; and (8) Yasawa, Fiji. Related publication: Purzycki, et al. (2016). Moralistic Gods, Supernatural Punishment and the Expansion of Human Sociality. Nature, 530(7590): 327-330....

Necesidad e importancia de las matemáticas en las Ciencias Económicas

Directory of Open Access Journals (Sweden)

Juan A Viedma

1997-07-01

Full Text Available Se trata de responder la pregunta: ¿qué función ejercen las matemáticas en las ciencias económicas? Se hace, entonces, un recorrido por las etapas del conocimiento humano: la mítica, la intuitiva, la experimental y la racional y, luego, se describe el proceso de elaboración de un modelo económico abstracto en el que las matemáticas juegan un papel fundamental so pena de que el economista quiera construir una ciencia de juguete. Para apoyar la idea de que las matemáticas son importantes y necesarias en la economía, se presenta un resumen de una encuesta dirigida por Paul Samuelson a economistas notables, publicada en 1954. Los resultados apuntan, precisamente, a señalar que las matemáticas tienen una función fundamental en las Ciencias Económicas.

Error characterisation of global active and passive microwave soil moisture datasets

Directory of Open Access Journals (Sweden)

W. A. Dorigo

2010-12-01

Full Text Available Understanding the error structures of remotely sensed soil moisture observations is essential for correctly interpreting observed variations and trends in the data or assimilating them in hydrological or numerical weather prediction models. Nevertheless, a spatially coherent assessment of the quality of the various globally available datasets is often hampered by the limited availability over space and time of reliable in-situ measurements. As an alternative, this study explores the triple collocation error estimation technique for assessing the relative quality of several globally available soil moisture products from active (ASCAT and passive (AMSR-E and SSM/I microwave sensors. The triple collocation is a powerful statistical tool to estimate the root mean square error while simultaneously solving for systematic differences in the climatologies of a set of three linearly related data sources with independent error structures. Prerequisite for this technique is the availability of a sufficiently large number of timely corresponding observations. In addition to the active and passive satellite-based datasets, we used the ERA-Interim and GLDAS-NOAH reanalysis soil moisture datasets as a third, independent reference. The prime objective is to reveal trends in uncertainty related to different observation principles (passive versus active, the use of different frequencies (C-, X-, and Ku-band for passive microwave observations, and the choice of the independent reference dataset (ERA-Interim versus GLDAS-NOAH. The results suggest that the triple collocation method provides realistic error estimates. Observed spatial trends agree well with the existing theory and studies on the performance of different observation principles and frequencies with respect to land cover and vegetation density. In addition, if all theoretical prerequisites are fulfilled (e.g. a sufficiently large number of common observations is available and errors of the different

Las emociones positivas y la empatía como promotores de las conductas prosociales e inhibidores de las conductas agresivas

Directory of Open Access Journals (Sweden)

María Cristina Richaud

Full Text Available Resumen El objetivo del presente artículo es analizar qué proporción de variancia de la prosocialidad y de la agresividad predice las emociones positivas (alegría y gratitud, serenidad y satisfacción personal, la empatía (toma de perspectiva y preocupación empática y la autoeficacia social. Dado que existen abundantes investigaciones que muestran que existen diferencias significativas en las conductas prosociales y la agresividad en función del sexo es que estos análisis se realizaron por separados en niños y niñas. La muestra estuvo compuesta por 221 niños, de ambos sexos (42.2 % de varones, de 10 a 13 años (M = 11.45, DE = .80, de clase social media, que concurrían a escuelas primarias de la ciudad de Buenos Aires, Argentina. Los resultados indican que tanto la empatía como las emociones positivas se encuentran involucradas en la predicción de la conducta prosocial, tanto en los niños como en las niñas. Sin embargo, parece claro que en el caso de los niños la empatía tiene una mayor fuerza predictiva que las emociones positivas, a diferencia de las niñas donde ambas variables parecen compartir similar potencia. Por otro lado, la autoeficacia social predice la conducta prosocial solo en la niñas. Por último, los resultados indicaron que tanto la empatía como las emociones positivas inhiben la conducta agresiva solo en las niñas.

Música y experiencia: De las "sociedades primitivas" a las redes sociales

Directory of Open Access Journals (Sweden)

Israel V. Mázquez

2011-05-01

Full Text Available El artículo traza un itinerario circular que parte de la experiencia musical en su sentido tradicional de interacción y actividad grupal, sigue con algunas de las características de la figura moderna del oyente solitario y su relación con el espacio público y privado, y termina con las nuevas tecnologías de la información y las redes sociales de la web 2.0, las cuales hacen posible nuevas formas de interactividad y nuevas maneras de fortalecer los lazos de afiliación y sociabilidad a través de la música, hecho que aquí interpretamos como un retorno a los orígenes grupales y comunitarios de la experiencia musical.

Las rondas de las mujeres por las ventanillas del Estado: Etnografia de un trabajo invisible

Directory of Open Access Journals (Sweden)

Emilia Schijman

2011-06-01

Full Text Available A partir de una investigación de campo en un barrio de vivienda social de la periferia parisina, el artículo explora los circuitos diarios de las mujeres por las oficinas del Estado. El análisis muestra el trabajo en la ventanilla como una movilización cotidiana, individual y colectiva, que liga sin cesar la esfera doméstica y la esfera pública, la práctica burocrática y la micro-política. Familiarizarse con las categorías administrativas y jurídicas, manipular diferentes regímenes de solicitación, juntar testigos y acumular pruebas escritas, todas estas actividades forman un trabajo invisible pero imprescindible para reclamar derechos y activar la economía de la familia.

Usos de las herramientas digitales entre las personas mayores

Directory of Open Access Journals (Sweden)

Javier Fombona Cadavieco

2012-10-01

Full Text Available Una sociedad «multiedades» supone diseñar y crear nuevos espacios de aprendizaje y comunicación, capaces de gestionar la demanda existente por parte de las personas mayores. En este artículo, se aborda la relación de las personas mayores con las tecnologías de la información y la comunicación (TIC y para ello se plantean dos objetivos: el primero va dirigido a conocer los recursos tecnológicos que utilizan y el segundo, a describir objetivamente los tipos de uso que estas personas hacen de las TIC. Para ello, se utiliza la técnica de encuesta, cuyos resultados son contrastados mediante grupos de discusión. En el estudio participaron 215 personas mayores usuarias de las TIC y siete grupos de discusión de cinco personas cada uno. Los resultados encontrados indican que los recursos que más utilizan los mayores son, los ordenadores e Internet y el uso que hacen de los mismos se ha agrupado en cuatro grandes categorías: formación, información, comunicación y entretenimiento, no encontrándose diferencias significativas en función del género o de la edad y sí se encontraron diferencias en cuanto a la disponibilidad de dichos recursos para uso particular en función del nivel de estudios.

Las serpientes en colombia

OpenAIRE

Daniel, H.

2012-01-01

El estudio de las serpientes en Colombia no deja de tener su particular interés; existe una inmensa variedad de especies que se escalonan desde los valles ardientes hasta alturas relativamente considerables; en estos últimos puntos disminuye notablemente la variedad de formas y de modo especial las especies provistas de veneno. Hacer una distinción entre las especies venenosas y las inofensivas, resulta un tanto difícil; en algunos textos se dan unas cuántas reglas, pero la mayor parte d...

Synthetic ALSPAC longitudinal datasets for the Big Data VR project.

Science.gov (United States)

Avraam, Demetris; Wilson, Rebecca C; Burton, Paul

2017-01-01

Three synthetic datasets - of observation size 15,000, 155,000 and 1,555,000 participants, respectively - were created by simulating eleven cardiac and anthropometric variables from nine collection ages of the ALSAPC birth cohort study. The synthetic datasets retain similar data properties to the ALSPAC study data they are simulated from (co-variance matrices, as well as the mean and variance values of the variables) without including the original data itself or disclosing participant information.  In this instance, the three synthetic datasets have been utilised in an academia-industry collaboration to build a prototype virtual reality data analysis software, but they could have a broader use in method and software development projects where sensitive data cannot be freely shared.

Correction of elevation offsets in multiple co-located lidar datasets

Science.gov (United States)

Thompson, David M.; Dalyander, P. Soupy; Long, Joseph W.; Plant, Nathaniel G.

2017-04-07

IntroductionTopographic elevation data collected with airborne light detection and ranging (lidar) can be used to analyze short- and long-term changes to beach and dune systems. Analysis of multiple lidar datasets at Dauphin Island, Alabama, revealed systematic, island-wide elevation differences on the order of 10s of centimeters (cm) that were not attributable to real-world change and, therefore, were likely to represent systematic sampling offsets. These offsets vary between the datasets, but appear spatially consistent within a given survey. This report describes a method that was developed to identify and correct offsets between lidar datasets collected over the same site at different times so that true elevation changes over time, associated with sediment accumulation or erosion, can be analyzed.

BASE MAP DATASET, HONOLULU COUNTY, HAWAII, USA

Data.gov (United States)

Federal Emergency Management Agency, Department of Homeland Security — FEMA Framework Basemap datasets comprise six of the seven FGDC themes of geospatial data that are used by most GIS applications (Note: the seventh framework theme,...

BASE MAP DATASET, LOS ANGELES COUNTY, CALIFORNIA

Data.gov (United States)

Federal Emergency Management Agency, Department of Homeland Security — FEMA Framework Basemap datasets comprise six of the seven FGDC themes of geospatial data that are used by most GIS applications (Note: the seventh framework theme,...

BASE MAP DATASET, CHEROKEE COUNTY, SOUTH CAROLINA

Data.gov (United States)

Federal Emergency Management Agency, Department of Homeland Security — FEMA Framework Basemap datasets comprise six of the seven FGDC themes of geospatial data that are used by most GIS applications (Note: the seventh framework theme,...

BASE MAP DATASET, EDGEFIELD COUNTY, SOUTH CAROLINA

Data.gov (United States)

Federal Emergency Management Agency, Department of Homeland Security — FEMA Framework Basemap datasets comprise six of the seven FGDC themes of geospatial data that are used by most GIS applications (Note: the seventh framework theme,...

BASE MAP DATASET, SANTA CRIZ COUNTY, CALIFORNIA

Data.gov (United States)

Federal Emergency Management Agency, Department of Homeland Security — FEMA Framework Basemap datasets comprise six of the seven FGDC themes of geospatial data that are used by most GIS applications (Note: the seventh framework theme,...

Las Biografías: un valioso recurso en las clases de Ciencias Naturales

Directory of Open Access Journals (Sweden)

Rubinsten Hernandez Barbosa

2011-02-01

Full Text Available En el siguiente artículo se describe una experiencia de aula que resalta el valor didáctico que tiene el uso de las biografías de los hombres y mujeres que han aportado a la ciencia en los diferentes campos del conocimiento. En esta oportunidad, y teniendo como motivación el bicentenario del nacimiento de Charles Robert Darwin y los 150 años de la publicación de su obra cumbre, su vida y los planteamientos generales de su obra fueron objeto de estudio y reflexión por estudiantes del grado séptimo del Gimnasio Moderno de Bogotá, Colombia. Para cada una de las etapas que se desarrollaron se establecieron previamente las preguntas orientadoras, se acordaron las diferentes formas de trabajo y se determinaron las actividades, con el fin de mantener el interés por parte de los estudiantes y alcanzar los objetivos propuestos. Los resultados obtenidos en esta experiencia de aula permiten resaltar la importancia de las biografías como eje articulador de una propuesta de trabajo escolar y una forma distinta de abordar los contenidos de las ciencias naturales.

Las marcas propias en Colombia

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Carlos Felipe Payán Rodríguez

2013-11-01

Full Text Available El artículo analiza la situación actual de las marcas propias en Colombia, teniendo en cuenta su creciente auge al interior de las grandes superficies. Mediante este tipo de marcas el mismo distribuidor vende productos y servicios con su nombre o recurriendo a una marca de su propiedad, compitiendo con las marcas ya posicionadas en el mercado de los fabricantes. El texto se articula, primero, en una contextualización con base en doctrina comparada respecto de las marcas propias. Luego, se aplican las reglas de dichos conceptos doctrinales a la situación actual colombiana. Por último, se plantean dos problemas jurídicos respecto de las marcas propias, uno, analizado desde la propiedad industrial, y el otro, desde las reglas del Estatuto del Consumidor.

Evolución de las jugadoras en las selecciones españolas de baloncesto

Directory of Open Access Journals (Sweden)

Sebastián Feu Molina

2008-09-01

Full Text Available La detección, selección y formación del talento deportivo es uno de los aspectos más investigados en diferentes deportes. Mediante un diseño longitudinal y una metodología cuantitativa descriptiva, el objetivo de este estudio es conocer como ha sido la participación y evolución de las jugadoras en las distintas categorías de las selecciones españolas de baloncesto (n = 163 y analizar las relaciones existentes en el tipo de participación cualitativa en cada nivel. Los resultados ponen de manifiesto una relación negativa estadísticamente significativa entre la participación en competición oficial en la selección cadete y las categorías superiores, es decir, las jugadoras que participan a alto nivel en las categorías de base no suelen llegar a participar en la selección nacional absoluta en competiciones oficiales de alto nivel.

LAS PROTEINAS SEMINALES DEL MANI (ARACHIS HYPOGAEA, LEGUMINOSAE y SU RELACION CON LAS CATEGORIAS INFRAESPECIFICAS

Directory of Open Access Journals (Sweden)

N R Grosso

1994-01-01

Full Text Available Las proteínas seminales de 122 muestras diferentes de Arachis hypogaea L. originarios de Bolivia, Perú y Ecuador fueron estudiadas por electroforesis en gel de poliacrilamida.Se detectaron siete bandas constantes y 27 bandas inconstantes. Los resultados de las últimas se utilizaron para analizar las similitudes entre las muestras empleando el coeficiente de Jaccard y el método de ligamiento promedio de la media aritmética no ponderada(UPGMA.Las proteínas seminales permitieron separar totalmente la subespecies de A.hypogaea y las variedades en menor medida.

Satellite-Based Precipitation Datasets

Science.gov (United States)

Munchak, S. J.; Huffman, G. J.

2017-12-01

Of the possible sources of precipitation data, those based on satellites provide the greatest spatial coverage. There is a wide selection of datasets, algorithms, and versions from which to choose, which can be confusing to non-specialists wishing to use the data. The International Precipitation Working Group (IPWG) maintains tables of the major publicly available, long-term, quasi-global precipitation data sets (http://www.isac.cnr.it/ ipwg/data/datasets.html), and this talk briefly reviews the various categories. As examples, NASA provides two sets of quasi-global precipitation data sets: the older Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA) and current Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (GPM) mission (IMERG). Both provide near-real-time and post-real-time products that are uniformly gridded in space and time. The TMPA products are 3-hourly 0.25°x0.25° on the latitude band 50°N-S for about 16 years, while the IMERG products are half-hourly 0.1°x0.1° on 60°N-S for over 3 years (with plans to go to 16+ years in Spring 2018). In addition to the precipitation estimates, each data set provides fields of other variables, such as the satellite sensor providing estimates and estimated random error. The discussion concludes with advice about determining suitability for use, the necessity of being clear about product names and versions, and the need for continued support for satellite- and surface-based observation.

FASTQSim: platform-independent data characterization and in silico read generation for NGS datasets.

Science.gov (United States)

Shcherbina, Anna

2014-08-15

High-throughput next generation sequencing technologies have enabled rapid characterization of clinical and environmental samples. Consequently, the largest bottleneck to actionable data has become sample processing and bioinformatics analysis, creating a need for accurate and rapid algorithms to process genetic data. Perfectly characterized in silico datasets are a useful tool for evaluating the performance of such algorithms. Background contaminating organisms are observed in sequenced mixtures of organisms. In silico samples provide exact truth. To create the best value for evaluating algorithms, in silico data should mimic actual sequencer data as closely as possible. FASTQSim is a tool that provides the dual functionality of NGS dataset characterization and metagenomic data generation. FASTQSim is sequencing platform-independent, and computes distributions of read length, quality scores, indel rates, single point mutation rates, indel size, and similar statistics for any sequencing platform. To create training or testing datasets, FASTQSim has the ability to convert target sequences into in silico reads with specific error profiles obtained in the characterization step. FASTQSim enables users to assess the quality of NGS datasets. The tool provides information about read length, read quality, repetitive and non-repetitive indel profiles, and single base pair substitutions. FASTQSim allows the user to simulate individual read datasets that can be used as standardized test scenarios for planning sequencing projects or for benchmarking metagenomic software. In this regard, in silico datasets generated with the FASTQsim tool hold several advantages over natural datasets: they are sequencing platform independent, extremely well characterized, and less expensive to generate. Such datasets are valuable in a number of applications, including the training of assemblers for multiple platforms, benchmarking bioinformatics algorithm performance, and creating challenge

Se-SAD serial femtosecond crystallography datasets from selenobiotinyl-streptavidin

Science.gov (United States)

Yoon, Chun Hong; Demirci, Hasan; Sierra, Raymond G.; Dao, E. Han; Ahmadi, Radman; Aksit, Fulya; Aquila, Andrew L.; Batyuk, Alexander; Ciftci, Halilibrahim; Guillet, Serge; Hayes, Matt J.; Hayes, Brandon; Lane, Thomas J.; Liang, Meng; Lundström, Ulf; Koglin, Jason E.; Mgbam, Paul; Rao, Yashas; Rendahl, Theodore; Rodriguez, Evan; Zhang, Lindsey; Wakatsuki, Soichi; Boutet, Sébastien; Holton, James M.; Hunter, Mark S.

2017-04-01

We provide a detailed description of selenobiotinyl-streptavidin (Se-B SA) co-crystal datasets recorded using the Coherent X-ray Imaging (CXI) instrument at the Linac Coherent Light Source (LCLS) for selenium single-wavelength anomalous diffraction (Se-SAD) structure determination. Se-B SA was chosen as the model system for its high affinity between biotin and streptavidin where the sulfur atom in the biotin molecule (C10H16N2O3S) is substituted with selenium. The dataset was collected at three different transmissions (100, 50, and 10%) using a serial sample chamber setup which allows for two sample chambers, a front chamber and a back chamber, to operate simultaneously. Diffraction patterns from Se-B SA were recorded to a resolution of 1.9 Å. The dataset is publicly available through the Coherent X-ray Imaging Data Bank (CXIDB) and also on LCLS compute nodes as a resource for research and algorithm development.

Dataset of transcriptional landscape of B cell early activation

Directory of Open Access Journals (Sweden)

Alexander S. Garruss

2015-09-01

Full Text Available Signaling via B cell receptors (BCR and Toll-like receptors (TLRs result in activation of B cells with distinct physiological outcomes, but transcriptional regulatory mechanisms that drive activation and distinguish these pathways remain unknown. At early time points after BCR and TLR ligand exposure, 0.5 and 2 h, RNA-seq was performed allowing observations on rapid transcriptional changes. At 2 h, ChIP-seq was performed to allow observations on important regulatory mechanisms potentially driving transcriptional change. The dataset includes RNA-seq, ChIP-seq of control (Input, RNA Pol II, H3K4me3, H3K27me3, and a separate RNA-seq for miRNA expression, which can be found at Gene Expression Omnibus Dataset GSE61608. Here, we provide details on the experimental and analysis methods used to obtain and analyze this dataset and to examine the transcriptional landscape of B cell early activation.

U.S. Climate Divisional Dataset (Version Superseded)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This data has been superseded by a newer version of the dataset. Please refer to NOAA's Climate Divisional Database for more information. The U.S. Climate Divisional...

INFLUENCIA DE LOS SUBSTITUYENTES SOBRE LAS PROPIEDADES DE REPARTO DE LAS PIRIDINAS

Directory of Open Access Journals (Sweden)

Ricardo Perez N.

2010-09-01

Full Text Available Se determinaron los coeficientes de reparto de la piridina y de algunas metilpiridinas, entre el ciclohexano y el agua a 25°C., en función de la concentración. El análisis de las fases en equilibrio se efectuó por medio de un método refractométrico. Los resultados experimentales se extrapolaron a dilución infinita con el fin de obtener los coeficientes de reparto de las piridinas monómeras, Pi. El comportamiento de las piridinas se comparó con el de las anilinas, sustancias para las cuales en un trabajo anterior, fue posible relacionar los coeficientes de reparto a dilución infinita Pi, con el volumen molar , en el formulismo propuesto. Finalmente, se discute brevemente la llamada "constante del sustituyente", TT^, ya definida por otros autores con base en coeficientes de reparto.

UK surveillance: provision of quality assured information from combined datasets.

Science.gov (United States)

Paiba, G A; Roberts, S R; Houston, C W; Williams, E C; Smith, L H; Gibbens, J C; Holdship, S; Lysons, R

2007-09-14

Surveillance information is most useful when provided within a risk framework, which is achieved by presenting results against an appropriate denominator. Often the datasets are captured separately and for different purposes, and will have inherent errors and biases that can be further confounded by the act of merging. The United Kingdom Rapid Analysis and Detection of Animal-related Risks (RADAR) system contains data from several sources and provides both data extracts for research purposes and reports for wider stakeholders. Considerable efforts are made to optimise the data in RADAR during the Extraction, Transformation and Loading (ETL) process. Despite efforts to ensure data quality, the final dataset inevitably contains some data errors and biases, most of which cannot be rectified during subsequent analysis. So, in order for users to establish the 'fitness for purpose' of data merged from more than one data source, Quality Statements are produced as defined within the overarching surveillance Quality Framework. These documents detail identified data errors and biases following ETL and report construction as well as relevant aspects of the datasets from which the data originated. This paper illustrates these issues using RADAR datasets, and describes how they can be minimised.

La participación de las familias en las escuelas TIC: análisis y reflexiones educativas

OpenAIRE

Aguilar Ramos, María del Carmen; Leiva Olivencia, Juan José

2012-01-01

Las experiencias de participación de la familia en la escuela cobran un nuevo significado con las posibilidades que ofrecen las tecnologías de la información y la comunicación (TIC). El presente trabajo aborda algunas de las experiencias que se están desarrollando para implicar a las familias en los centros. Las páginas webs de los centros, la creación de comunidades de aprendizaje y de redes sociales, las tutorías virtuales, los cursos E-learning son algunas de las ofertas novedo...

Los testimonios o las narrativas de la(s memoria(s

Directory of Open Access Journals (Sweden)

Elsa Blair Trujillo

2008-01-01

Full Text Available El artículo desarrolla una reflexión teórica sobre uno de los ejes centrales de la problemática de las víctimas: el testimonio o las narrativas de la(s memoria(s. En un primer momento aborda algunos aspectos que ayudan a esclarecer las posibilidades y limitaciones de estas narrativas desde sus antecedentes, que pasan por el «acto de testimoniar» hasta esclarecer su potencial político y su lugar en el ámbito de lo público. En la segunda parte, apoyada fundamentalmente en Ricoeur, se hace una análisis en torno al carácter narrativo del testimonio. Y en la tercera, y última parte, sobre la base del trabajo de tres autoras latinoamericanas, E. Jelin, C.Feld y L. Da Silva Catela, se propone una construcción metodológica del «acto de testimoniar» en contextos marcados por la guerra y la violencia.

Los testimonios o las narrativas de la(s memoria(s

Directory of Open Access Journals (Sweden)

Elsa Blair Trujillo

2008-06-01

Full Text Available El artículo desarrolla una reflexión teórica sobre uno de los ejes centrales de la problemática de las víctimas: el testimonio o las narrativas de la(s memoria(s. En un primer momento aborda algunos aspectos que ayudan a esclarecer las posibilidades y limitaciones de estas narrativas desde sus antecedentes, que pasan por el ''acto de testimoniar'' hasta esclarecer su potencial político y su lugar en el ámbito de lo público. En la segunda parte, apoyada fundamentalmente en Ricoeur, se hace una análisis en torno al carácter narrativo del testimonio. Y en la tercera, y última parte, sobre la base del trabajo de tres autoras latinoamericanas, E. Jelin, C.Feld y L. Da Silva Catela, se propone una construcción metodológica del ''acto de testimoniar'' en contextos marcados por la guerra y la violencia.

Pautas de localización de las sedes de las grandes empresas y entornos metropolitanos

Directory of Open Access Journals (Sweden)

Joan-Eugeni Sánchez

2007-12-01

Full Text Available La localización de las sedes de las grandes empresas {headquarter es un tema de interés socioterritorial por cuanto implica relaciones de poder y dependencia entre territorios, con tendencia progresiva a la mundialización. El objetivo principal es detectar algunos de los factores socioterritoriales que intervienen en su localización, sobre la hipótesis de la importancia que tienen los entornos metropolitanos y de capitalidad. El análisis empírico se plantea al nivel de los centros de decisión de las grandes empresas y al nivel de los centros de decisión subsidiaria en naciones secundarias (España. Así la escala mundial de las grandes empresas multinacionales se contrastará con lo que ocurre dentro de un territorio secundario en las lógicas de distribución de las sedes primarias y subsidiarias. Se toma como base las 500 grandes empresas mundiales (Fortune, 2005 y las 1000 mayores empresas en España para los territorios secundarios. La conclusión es que la concentración territorial de poder político, poder económico y vinculación internacional -por este orden de importancia-, son los tres factores fundamentales que explican las decisiones de localización tanto de sedes centrales como subsidiarias, condiciones que de forma casi exclusiva se dan en las áreas metropolitanas, y con especial significación en las capitales de Estado

LAS FUENTES DEL CONOCIMIENTO HISTÓRICO: EL VALOR INELUDIBLE DE LAS FUENTES ORALES

Directory of Open Access Journals (Sweden)

Aliesky Caballero González

2015-07-01

Full Text Available El artículo aborda lo limitado que era el empleo de las fuentes orales desde la historiografía, también muestra la importancia que tienen las fuentes del conocimiento histórico, y dentro de ellas, las antes mencionadas; así como su clasificación y definición desde la didáctica de la Historia. Además de especificar cómo los profesores deben dar tratamiento correcto a las fuentes orales, dándole su valor y mostrando las potencialidades de estas en la enseñanza-aprendizaje de la Historia, para lograr una educación histórica en los adolescentes de la educación secundaria básica.

Climate Prediction Center IR 4km Dataset

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — CPC IR 4km dataset was created from all available individual geostationary satellite data which have been merged to form nearly seamless global (60N-60S) IR...

Multivariate Analysis of Multiple Datasets: a Practical Guide for Chemical Ecology.

Science.gov (United States)

Hervé, Maxime R; Nicolè, Florence; Lê Cao, Kim-Anh

2018-03-01

Chemical ecology has strong links with metabolomics, the large-scale study of all metabolites detectable in a biological sample. Consequently, chemical ecologists are often challenged by the statistical analyses of such large datasets. This holds especially true when the purpose is to integrate multiple datasets to obtain a holistic view and a better understanding of a biological system under study. The present article provides a comprehensive resource to analyze such complex datasets using multivariate methods. It starts from the necessary pre-treatment of data including data transformations and distance calculations, to the application of both gold standard and novel multivariate methods for the integration of different omics data. We illustrate the process of analysis along with detailed results interpretations for six issues representative of the different types of biological questions encountered by chemical ecologists. We provide the necessary knowledge and tools with reproducible R codes and chemical-ecological datasets to practice and teach multivariate methods.

Harvard Aging Brain Study : Dataset and accessibility

NARCIS (Netherlands)

Dagley, Alexander; LaPoint, Molly; Huijbers, Willem; Hedden, Trey; McLaren, Donald G.; Chatwal, Jasmeer P.; Papp, Kathryn V.; Amariglio, Rebecca E.; Blacker, Deborah; Rentz, Dorene M.; Johnson, Keith A.; Sperling, Reisa A.; Schultz, Aaron P.

2017-01-01

The Harvard Aging Brain Study is sharing its data with the global research community. The longitudinal dataset consists of a 284-subject cohort with the following modalities acquired: demographics, clinical assessment, comprehensive neuropsychological testing, clinical biomarkers, and neuroimaging.

Large Scale Flood Risk Analysis using a New Hyper-resolution Population Dataset

Science.gov (United States)

Smith, A.; Neal, J. C.; Bates, P. D.; Quinn, N.; Wing, O.

2017-12-01

Here we present the first national scale flood risk analyses, using high resolution Facebook Connectivity Lab population data and data from a hyper resolution flood hazard model. In recent years the field of large scale hydraulic modelling has been transformed by new remotely sensed datasets, improved process representation, highly efficient flow algorithms and increases in computational power. These developments have allowed flood risk analysis to be undertaken in previously unmodeled territories and from continental to global scales. Flood risk analyses are typically conducted via the integration of modelled water depths with an exposure dataset. Over large scales and in data poor areas, these exposure data typically take the form of a gridded population dataset, estimating population density using remotely sensed data and/or locally available census data. The local nature of flooding dictates that for robust flood risk analysis to be undertaken both hazard and exposure data should sufficiently resolve local scale features. Global flood frameworks are enabling flood hazard data to produced at 90m resolution, resulting in a mis-match with available population datasets which are typically more coarsely resolved. Moreover, these exposure data are typically focused on urban areas and struggle to represent rural populations. In this study we integrate a new population dataset with a global flood hazard model. The population dataset was produced by the Connectivity Lab at Facebook, providing gridded population data at 5m resolution, representing a resolution increase over previous countrywide data sets of multiple orders of magnitude. Flood risk analysis undertaken over a number of developing countries are presented, along with a comparison of flood risk analyses undertaken using pre-existing population datasets.

Comparing the accuracy of food outlet datasets in an urban environment

Directory of Open Access Journals (Sweden)

Michelle S. Wong

2017-05-01

Full Text Available Studies that investigate the relationship between the retail food environment and health outcomes often use geospatial datasets. Prior studies have identified challenges of using the most common data sources. Retail food environment datasets created through academic-government partnership present an alternative, but their validity (retail existence, type, location has not been assessed yet. In our study, we used ground-truth data to compare the validity of two datasets, a 2015 commercial dataset (InfoUSA and data collected from 2012 to 2014 through the Maryland Food Systems Mapping Project (MFSMP, an academic-government partnership, on the retail food environment in two low-income, inner city neighbourhoods in Baltimore City. We compared sensitivity and positive predictive value (PPV of the commercial and academic-government partnership data to ground-truth data for two broad categories of unhealthy food retailers: small food retailers and quick-service restaurants. Ground-truth data was collected in 2015 and analysed in 2016. Compared to the ground-truth data, MFSMP and InfoUSA generally had similar sensitivity that was greater than 85%. MFSMP had higher PPV compared to InfoUSA for both small food retailers (MFSMP: 56.3% vs InfoUSA: 40.7% and quick-service restaurants (MFSMP: 58.6% vs InfoUSA: 36.4%. We conclude that data from academic-government partnerships like MFSMP might be an attractive alternative option and improvement to relying only on commercial data. Other research institutes or cities might consider efforts to create and maintain such an environmental dataset. Even if these datasets cannot be updated on an annual basis, they are likely more accurate than commercial data.

Comparing the accuracy of food outlet datasets in an urban environment.

Science.gov (United States)

Wong, Michelle S; Peyton, Jennifer M; Shields, Timothy M; Curriero, Frank C; Gudzune, Kimberly A

2017-05-11

Studies that investigate the relationship between the retail food environment and health outcomes often use geospatial datasets. Prior studies have identified challenges of using the most common data sources. Retail food environment datasets created through academic-government partnership present an alternative, but their validity (retail existence, type, location) has not been assessed yet. In our study, we used ground-truth data to compare the validity of two datasets, a 2015 commercial dataset (InfoUSA) and data collected from 2012 to 2014 through the Maryland Food Systems Mapping Project (MFSMP), an academic-government partnership, on the retail food environment in two low-income, inner city neighbourhoods in Baltimore City. We compared sensitivity and positive predictive value (PPV) of the commercial and academic-government partnership data to ground-truth data for two broad categories of unhealthy food retailers: small food retailers and quick-service restaurants. Ground-truth data was collected in 2015 and analysed in 2016. Compared to the ground-truth data, MFSMP and InfoUSA generally had similar sensitivity that was greater than 85%. MFSMP had higher PPV compared to InfoUSA for both small food retailers (MFSMP: 56.3% vs InfoUSA: 40.7%) and quick-service restaurants (MFSMP: 58.6% vs InfoUSA: 36.4%). We conclude that data from academic-government partnerships like MFSMP might be an attractive alternative option and improvement to relying only on commercial data. Other research institutes or cities might consider efforts to create and maintain such an environmental dataset. Even if these datasets cannot be updated on an annual basis, they are likely more accurate than commercial data.

Las culturas laborales de las 100 mejores empresas de Cartagena. Sector industria

Directory of Open Access Journals (Sweden)

Juan Antonio Morales

2004-01-01

Full Text Available La presente investigación se propone caracterizar, a partir de las culturas laborales, el perfil empresarial de las 100 mejores empresas del sector industria de Cartagena. El perfil empresarial es el punto de partida para determinar dónde se encuentran y hacia dónde deben dirigirse las compañías, y, a su vez, permite visualizar alternativas de estrategias salariales y/o compensacionales.

Global-scale evaluation of 22 precipitation datasets using gauge observations and hydrological modeling

Directory of Open Access Journals (Sweden)

H. E. Beck

2017-12-01

Full Text Available We undertook a comprehensive evaluation of 22 gridded (quasi-global (sub-daily precipitation (P datasets for the period 2000–2016. Thirteen non-gauge-corrected P datasets were evaluated using daily P gauge observations from 76 086 gauges worldwide. Another nine gauge-corrected datasets were evaluated using hydrological modeling, by calibrating the HBV conceptual model against streamflow records for each of 9053 small to medium-sized ( <  50 000 km2 catchments worldwide, and comparing the resulting performance. Marked differences in spatio-temporal patterns and accuracy were found among the datasets. Among the uncorrected P datasets, the satellite- and reanalysis-based MSWEP-ng V1.2 and V2.0 datasets generally showed the best temporal correlations with the gauge observations, followed by the reanalyses (ERA-Interim, JRA-55, and NCEP-CFSR and the satellite- and reanalysis-based CHIRP V2.0 dataset, the estimates based primarily on passive microwave remote sensing of rainfall (CMORPH V1.0, GSMaP V5/6, and TMPA 3B42RT V7 or near-surface soil moisture (SM2RAIN-ASCAT, and finally, estimates based primarily on thermal infrared imagery (GridSat V1.0, PERSIANN, and PERSIANN-CCS. Two of the three reanalyses (ERA-Interim and JRA-55 unexpectedly obtained lower trend errors than the satellite datasets. Among the corrected P datasets, the ones directly incorporating daily gauge data (CPC Unified, and MSWEP V1.2 and V2.0 generally provided the best calibration scores, although the good performance of the fully gauge-based CPC Unified is unlikely to translate to sparsely or ungauged regions. Next best results were obtained with P estimates directly incorporating temporally coarser gauge data (CHIRPS V2.0, GPCP-1DD V1.2, TMPA 3B42 V7, and WFDEI-CRU, which in turn outperformed the one indirectly incorporating gauge data through another multi-source dataset (PERSIANN-CDR V1R1. Our results highlight large differences in estimation accuracy

Creation of the Naturalistic Engagement in Secondary Tasks (NEST) distracted driving dataset.

Science.gov (United States)

Owens, Justin M; Angell, Linda; Hankey, Jonathan M; Foley, James; Ebe, Kazutoshi

2015-09-01

Distracted driving has become a topic of critical importance to driving safety research over the past several decades. Naturalistic driving data offer a unique opportunity to study how drivers engage with secondary tasks in real-world driving; however, the complexities involved with identifying and coding relevant epochs of naturalistic data have limited its accessibility to the general research community. This project was developed to help address this problem by creating an accessible dataset of driver behavior and situational factors observed during distraction-related safety-critical events and baseline driving epochs, using the Strategic Highway Research Program 2 (SHRP2) naturalistic dataset. The new NEST (Naturalistic Engagement in Secondary Tasks) dataset was created using crashes and near-crashes from the SHRP2 dataset that were identified as including secondary task engagement as a potential contributing factor. Data coding included frame-by-frame video analysis of secondary task and hands-on-wheel activity, as well as summary event information. In addition, information about each secondary task engagement within the trip prior to the crash/near-crash was coded at a higher level. Data were also coded for four baseline epochs and trips per safety-critical event. 1,180 events and baseline epochs were coded, and a dataset was constructed. The project team is currently working to determine the most useful way to allow broad public access to the dataset. We anticipate that the NEST dataset will be extraordinarily useful in allowing qualified researchers access to timely, real-world data concerning how drivers interact with secondary tasks during safety-critical events and baseline driving. The coded dataset developed for this project will allow future researchers to have access to detailed data on driver secondary task engagement in the real world. It will be useful for standalone research, as well as for integration with additional SHRP2 data to enable the

La aportación de las mujeres a las empresas familiares andaluzas : trabajo y valor monetario

OpenAIRE

Gálvez Muñoz, Lina; Rodríguez Modroño, Paula; Agenjo Calderón, Astrid

2014-01-01

En las pequeñas empresas aún perdura una gran cantidad de trabajo no registrado realizado mayoritariamente por las mujeres de la familia. Ello atiende a un doble proceso de invisibilidad: primero, por la neutralidad/naturalidad que se asigna a las aportaciones de las mujeres en el ámbito familiar, motivada por el rol que se les ha impuesto históricamente. Y segundo, por la informalidad que suele caracterizar a las ayudas o colaboraciones familiares en las empresas como mecanismo para external...

Las artes de leer e interpretar las hojas de coca

Directory of Open Access Journals (Sweden)

Eugenia Flores

2017-03-01

Full Text Available En este artículo quisiera hablar sobre un oficio secreto, subterráneo, clandestino, que es el arte de leer e interpretar las hojas de coca en espacios marginales del valle de Salta. Muestro en estas páginas las diferentes formas y modos en que la coca es utilizada por la población local, diversa y heterogénea, donde tradiciones indígenas ancestrales se manifiestan en prácticas concretas que rozan los límites entre la magia y la terapia. Presto especial interés, a partir del trabajo de campo realizado, a aquellas personas que manejan estas artes de leer las hojas de coca, las cuales en los casos analizados fueron adquiridas a partir de un ritual de paso, que fue el haber sido “tocado por el rayo”. Me interesa particularmente trabajar con estos hombres y mujeres, cuyo arte de hacer con coca es equiparable a las “maneras de hacer”. Estas maneras de hacer con la coca ritual no están visibilizadas y son subterráneas, marginales y silenciosas, en este artículo se pretende dar cuenta de estas prácticas con coca y sus dinámicas relaciones inter e intra comunales. Palabras-claves: Artes; maneras de hacer; coca; ritual.

A multimodal dataset for authoring and editing multimedia content: The MAMEM project

Directory of Open Access Journals (Sweden)

Spiros Nikolopoulos

2017-12-01

Full Text Available We present a dataset that combines multimodal biosignals and eye tracking information gathered under a human-computer interaction framework. The dataset was developed in the vein of the MAMEM project that aims to endow people with motor disabilities with the ability to edit and author multimedia content through mental commands and gaze activity. The dataset includes EEG, eye-tracking, and physiological (GSR and Heart rate signals collected from 34 individuals (18 able-bodied and 16 motor-impaired. Data were collected during the interaction with specifically designed interface for web browsing and multimedia content manipulation and during imaginary movement tasks. The presented dataset will contribute towards the development and evaluation of modern human-computer interaction systems that would foster the integration of people with severe motor impairments back into society.

Fitoplancton del Parque Nacional Las Tablas de Daimiel. II. Las cianofíceas, los dinoflagelados, las criptofíceas, las crisofíceas y las xantofíceas

Directory of Open Access Journals (Sweden)

Rojo, Carmen

1999-12-01

Full Text Available Las Tablas de Daimiel National Park is a semiarid wetland that exhibits a high biodiversity but is suffering an inexorable eutrophication process. The study of the phytoplankton in this wetland is interesting because of its hydrological fluctuations (drought period until 1996 and its trophic condition. This papers shows the taxonomy, dynamic, and ecology of microalgae in five áreas of the Park from 1996 to 1998, which allow comparisons to be made between the present state and the 1992-1993 period. Twelve taxa of Cyanophyta, 4 of Dynophyceae, 8 of Cryptophyceae, 5 of Chrysophyceae and one of Xanthophyceae were found. Almost all species have been already cited in Spain and are typical for eutrophic environments. Cyanophyceae and Cryptophyceae were the most important groups (Planktothrix agardhii, Anabaenopsis elenkinii, Cryptomonas erosa as the most common algae. Moreover, oscillatorial Cyanophyceae (in 1992 have been replaced by N-fixing nostocal ones, related to the high level of pollution found in recent years.El Parque Nacional Las Tablas de Daimiel es un humedal semiárido, importante reserva de biodiversidad que, sin embargo, está sufriendo un inexorable proceso de eutrofización. Su estado trófico, así como los cambios hidrológicos (sequía hasta 1996, hacen especialmente interesante el estudio de su microflora. Por ello, se ha llevado a cabo este trabajo sobre las poblaciones fitoplanctónicas en cinco puntos del Parque desde 1996 a 1998, que permite además la comparación con su estado en 1992-1993. Se encontraron 12 táxones de Cyanophyta, 4 de Dynophyceae, 8 de Cryptophyceae, 5 de Chrysophyceae y uno de Xanthophyceae. Casi todas las especies están citadas en España y son propias de ambientes eutróficos. Los grupos mejor representados fueron las cianobacterias y criptofíceas (Planktothrix agardhii, Anabaenopsis elenkinii y Cryptomonas erosa fueron las especies más conspicuas. Además, se observa un cambio de cianobacterias

Cosificación de las adolescentes en las redes sociales digitales

OpenAIRE

Urdangarin Aranbarri, Garazi

2015-01-01

La cosificación se refiere a la representación de una mujer a través de su cuerpo o partes de éste. La utilización masiva por parte de adolescentes de las Redes Sociales Digitales, hacen de éste fenómeno una forma tangible de discriminación sexista. Este estudio, tiene como objetivo analizar la cosificación de las adolescentes en las redes sociales y su influencia en la autoestima de cada joven. Para ello, se han aplicado diferentes escalas a 1087 adolescentes de 11 centros edu...

Mining and Utilizing Dataset Relevancy from Oceanographic Dataset Metadata, Usage Metrics, and User Feedback to Improve Data Discovery and Access

Data.gov (United States)

National Aeronautics and Space Administration — We propose to mine and utilize the combination of Earth Science dataset, metadata with usage metrics and user feedback to objectively extract relevance for improved...

Política de las expresiones heterodoxas: el conflicto social en los escenarios de las crisis argentinas

Directory of Open Access Journals (Sweden)

Adrián Scribano

2009-01-01

Full Text Available Los momentos de externalización de los conflictos permiten observar cómo la protesta se vincula con la "puesta-en-escena" de la construcción- selección de recursos expresivos y con las huellas que hacen posible rastrear un plus en las demandas entabladas. El presente artículo tiene como objetivo reconstruir las conexiones en tre recursos expresivos, "estéticas-en-las-calles" y prácticas heterodoxas. La estrategia que seguimos aquí es posible de ser esquematizada del siguiente modo: 1 se discuten las características de las relaciones entre expresividad, crisis y política; 2 se reconstruyen las escenas-postales de la ciudad de Córdoba, Argentina, a través de los recursos expresivos de las acciones colectivas; y 3 se sintetizan algunos "juegos del lenguaje" asociados a dichas postales. Se finaliza abogando por la necesidad de profundizar los análisis de las acciones colectivas que incluyan los recursos expresivos como un elemento central para superar un mero análisis desde las demandas de las mismas.

An integrated dataset for in silico drug discovery

Directory of Open Access Journals (Sweden)

Cockell Simon J

2010-12-01

Full Text Available Drug development is expensive and prone to failure. It is potentially much less risky and expensive to reuse a drug developed for one condition for treating a second disease, than it is to develop an entirely new compound. Systematic approaches to drug repositioning are needed to increase throughput and find candidates more reliably. Here we address this need with an integrated systems biology dataset, developed using the Ondex data integration platform, for the in silico discovery of new drug repositioning candidates. We demonstrate that the information in this dataset allows known repositioning examples to be discovered. We also propose a means of automating the search for new treatment indications of existing compounds.

Probabilistic and machine learning-based retrieval approaches for biomedical dataset retrieval

Science.gov (United States)

Karisani, Payam; Qin, Zhaohui S; Agichtein, Eugene

2018-01-01

Abstract The bioCADDIE dataset retrieval challenge brought together different approaches to retrieval of biomedical datasets relevant to a user’s query, expressed as a text description of a needed dataset. We describe experiments in applying a data-driven, machine learning-based approach to biomedical dataset retrieval as part of this challenge. We report on a series of experiments carried out to evaluate the performance of both probabilistic and machine learning-driven techniques from information retrieval, as applied to this challenge. Our experiments with probabilistic information retrieval methods, such as query term weight optimization, automatic query expansion and simulated user relevance feedback, demonstrate that automatically boosting the weights of important keywords in a verbose query is more effective than other methods. We also show that although there is a rich space of potential representations and features available in this domain, machine learning-based re-ranking models are not able to improve on probabilistic information retrieval techniques with the currently available training data. The models and algorithms presented in this paper can serve as a viable implementation of a search engine to provide access to biomedical datasets. The retrieval performance is expected to be further improved by using additional training data that is created by expert annotation, or gathered through usage logs, clicks and other processes during natural operation of the system. Database URL: https://github.com/emory-irlab/biocaddie

An innovative privacy preserving technique for incremental datasets on cloud computing.

Science.gov (United States)

Aldeen, Yousra Abdul Alsahib S; Salleh, Mazleena; Aljeroudi, Yazan

2016-08-01

Cloud computing (CC) is a magnificent service-based delivery with gigantic computer processing power and data storage across connected communications channels. It imparted overwhelming technological impetus in the internet (web) mediated IT industry, where users can easily share private data for further analysis and mining. Furthermore, user affable CC services enable to deploy sundry applications economically. Meanwhile, simple data sharing impelled various phishing attacks and malware assisted security threats. Some privacy sensitive applications like health services on cloud that are built with several economic and operational benefits necessitate enhanced security. Thus, absolute cyberspace security and mitigation against phishing blitz became mandatory to protect overall data privacy. Typically, diverse applications datasets are anonymized with better privacy to owners without providing all secrecy requirements to the newly added records. Some proposed techniques emphasized this issue by re-anonymizing the datasets from the scratch. The utmost privacy protection over incremental datasets on CC is far from being achieved. Certainly, the distribution of huge datasets volume across multiple storage nodes limits the privacy preservation. In this view, we propose a new anonymization technique to attain better privacy protection with high data utility over distributed and incremental datasets on CC. The proficiency of data privacy preservation and improved confidentiality requirements is demonstrated through performance evaluation. Copyright © 2016 Elsevier Inc. All rights reserved.

TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild

KAUST Repository

Mü ller, Matthias; Bibi, Adel Aamer; Giancola, Silvio; Al-Subaihi, Salman; Ghanem, Bernard

2018-01-01

Despite the numerous developments in object tracking, further development of current tracking algorithms is limited by small and mostly saturated datasets. As a matter of fact, data-hungry trackers based on deep-learning currently rely on object detection datasets due to the scarcity of dedicated large-scale tracking datasets. In this work, we present TrackingNet, the first large-scale dataset and benchmark for object tracking in the wild. We provide more than 30K videos with more than 14 million dense bounding box annotations. Our dataset covers a wide selection of object classes in broad and diverse context. By releasing such a large-scale dataset, we expect deep trackers to further improve and generalize. In addition, we introduce a new benchmark composed of 500 novel videos, modeled with a distribution similar to our training dataset. By sequestering the annotation of the test set and providing an online evaluation server, we provide a fair benchmark for future development of object trackers. Deep trackers fine-tuned on a fraction of our dataset improve their performance by up to 1.6% on OTB100 and up to 1.7% on TrackingNet Test. We provide an extensive benchmark on TrackingNet by evaluating more than 20 trackers. Our results suggest that object tracking in the wild is far from being solved.

TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild

KAUST Repository

Müller, Matthias

2018-03-28

Despite the numerous developments in object tracking, further development of current tracking algorithms is limited by small and mostly saturated datasets. As a matter of fact, data-hungry trackers based on deep-learning currently rely on object detection datasets due to the scarcity of dedicated large-scale tracking datasets. In this work, we present TrackingNet, the first large-scale dataset and benchmark for object tracking in the wild. We provide more than 30K videos with more than 14 million dense bounding box annotations. Our dataset covers a wide selection of object classes in broad and diverse context. By releasing such a large-scale dataset, we expect deep trackers to further improve and generalize. In addition, we introduce a new benchmark composed of 500 novel videos, modeled with a distribution similar to our training dataset. By sequestering the annotation of the test set and providing an online evaluation server, we provide a fair benchmark for future development of object trackers. Deep trackers fine-tuned on a fraction of our dataset improve their performance by up to 1.6% on OTB100 and up to 1.7% on TrackingNet Test. We provide an extensive benchmark on TrackingNet by evaluating more than 20 trackers. Our results suggest that object tracking in the wild is far from being solved.

La web, las aplicaciones de las Matemáticas y las metodologías activas: Una propuesta para el aula

Directory of Open Access Journals (Sweden)

María José Pérez Peñalver

2013-04-01

Full Text Available Con el objetivo de implicar a los estudiantes en su aprendizaje y de que relacionen los contenidos que se imparten en las clases de matemáticas, se ha creado una pequeña práctica de aula en primero de Ingeniería Civil de la Universidad Politécnica de Valencia. En la tarea, los estudiantes investigan en grupo las aplicaciones de las cónicas y las cuádricas a través de la red. Posteriormente eligen varias aplicaciones y elaboran una pequeña presentación que comparten con el resto de grupos. Finalmente realizan la evaluación de la tarea, que ha sido una responsabilidad compartida entre el profesor y los grupos y se ha organizado en forma de concurso con un premio para el mejor. En el artículo se muestra la descripción detallada del proceso, los resultados obtenidos, el grado de satisfacción de los alumnos y del docente, los problemas que surgieron y las propuestas de mejora.

ESTRATEGIAS DE ACCION E INCIDENCIA EN LAS POLITICAS PUBLICAS DE LAS COOPERATIVAS DE TERCER GRADO EN ARGENTINA

Directory of Open Access Journals (Sweden)

María Cristina Acosta

2011-01-01

Full Text Available Este trabajo indaga sobre la incidencia de las entidades representativas del cooperativismo argentino en las políticas públicas contemporáneas. Se presenta un estudio de caso de las dos más importantes cooperativas de tercer grado del país, se analizan sus metas y estrategias en las interacciones con las dependencias estatales. Los resultados de las acciones de los actores definen metas y estrategias que pueden ser convergentes y/o divergentes. Se concluye que los vínculos que han construido las confederaciones seleccionadas con el Estado presentan características de complementación y cooperación en términos generales. Asimismo, la facultad de las organizaciones estudiadas para incidir en la definición de las políticas públicas resulta no solamente de los recursos propios, sino, principalmente, de las oportunidades políticas y la capacidad de establecer alianzas inter-actorales mediante estrategias colectivas.

Parton Distributions based on a Maximally Consistent Dataset

Science.gov (United States)

Rojo, Juan

2016-04-01

The choice of data that enters a global QCD analysis can have a substantial impact on the resulting parton distributions and their predictions for collider observables. One of the main reasons for this has to do with the possible presence of inconsistencies, either internal within an experiment or external between different experiments. In order to assess the robustness of the global fit, different definitions of a conservative PDF set, that is, a PDF set based on a maximally consistent dataset, have been introduced. However, these approaches are typically affected by theory biases in the selection of the dataset. In this contribution, after a brief overview of recent NNPDF developments, we propose a new, fully objective, definition of a conservative PDF set, based on the Bayesian reweighting approach. Using the new NNPDF3.0 framework, we produce various conservative sets, which turn out to be mutually in agreement within the respective PDF uncertainties, as well as with the global fit. We explore some of their implications for LHC phenomenology, finding also good consistency with the global fit result. These results provide a non-trivial validation test of the new NNPDF3.0 fitting methodology, and indicate that possible inconsistencies in the fitted dataset do not affect substantially the global fit PDFs.

Decoys Selection in Benchmarking Datasets: Overview and Perspectives

Science.gov (United States)

Réau, Manon; Langenfeld, Florent; Zagury, Jean-François; Lagarde, Nathalie; Montes, Matthieu

2018-01-01

Virtual Screening (VS) is designed to prospectively help identifying potential hits, i.e., compounds capable of interacting with a given target and potentially modulate its activity, out of large compound collections. Among the variety of methodologies, it is crucial to select the protocol that is the most adapted to the query/target system under study and that yields the most reliable output. To this aim, the performance of VS methods is commonly evaluated and compared by computing their ability to retrieve active compounds in benchmarking datasets. The benchmarking datasets contain a subset of known active compounds together with a subset of decoys, i.e., assumed non-active molecules. The composition of both the active and the decoy compounds subsets is critical to limit the biases in the evaluation of the VS methods. In this review, we focus on the selection of decoy compounds that has considerably changed over the years, from randomly selected compounds to highly customized or experimentally validated negative compounds. We first outline the evolution of decoys selection in benchmarking databases as well as current benchmarking databases that tend to minimize the introduction of biases, and secondly, we propose recommendations for the selection and the design of benchmarking datasets. PMID:29416509

Multiresolution persistent homology for excessively large biomolecular datasets

Energy Technology Data Exchange (ETDEWEB)

Xia, Kelin; Zhao, Zhixiong [Department of Mathematics, Michigan State University, East Lansing, Michigan 48824 (United States); Wei, Guo-Wei, E-mail: wei@math.msu.edu [Department of Mathematics, Michigan State University, East Lansing, Michigan 48824 (United States); Department of Electrical and Computer Engineering, Michigan State University, East Lansing, Michigan 48824 (United States); Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, Michigan 48824 (United States)

2015-10-07

Although persistent homology has emerged as a promising tool for the topological simplification of complex data, it is computationally intractable for large datasets. We introduce multiresolution persistent homology to handle excessively large datasets. We match the resolution with the scale of interest so as to represent large scale datasets with appropriate resolution. We utilize flexibility-rigidity index to access the topological connectivity of the data set and define a rigidity density for the filtration analysis. By appropriately tuning the resolution of the rigidity density, we are able to focus the topological lens on the scale of interest. The proposed multiresolution topological analysis is validated by a hexagonal fractal image which has three distinct scales. We further demonstrate the proposed method for extracting topological fingerprints from DNA molecules. In particular, the topological persistence of a virus capsid with 273 780 atoms is successfully analyzed which would otherwise be inaccessible to the normal point cloud method and unreliable by using coarse-grained multiscale persistent homology. The proposed method has also been successfully applied to the protein domain classification, which is the first time that persistent homology is used for practical protein domain analysis, to our knowledge. The proposed multiresolution topological method has potential applications in arbitrary data sets, such as social networks, biological networks, and graphs.

En busca del contenido de las redes sociales : los "motivos" de las relaciones

OpenAIRE

Bidart, Claire

2009-01-01

Este artículo propone devolverle a la relación social su importancia como unidad básica de las redes sociales, y explorar lo que constituye su “sustancia” considerada aquí como el “motivo” de las relaciones. Las redes relacionales de un panel de jóvenes fueron construidas a partir de una investigación longitudinal que los sigue desde hace 12 años, interrogándolos cada tres años. Se recogieron datos sobre todas las personas frecuentadas en los distintos contextos de vida y sobre la calidad de ...

¿Las mujeres prefieren las cesáreas?

Directory of Open Access Journals (Sweden)

A. Vallejos Parás

2016-07-01

Full Text Available Las tasas de cesárea han aumentado de manera constante en la mayoría de los países de medianos y altos ingresos en los últimos decenios sin justificación médica. La solicitud materna es uno de los factores no médicos citados con frecuencia que contribuyen a esta tendencia. El objetivo de este documento es realizar una revisión de la bibliografía actual sobre las preferencias maternas por la cesárea.

Unificar las ciencias del deporte

Directory of Open Access Journals (Sweden)

Natàlia Balagué Serre

2013-12-01

Full Text Available El deporte no es solo un fenómeno social de nuestro mundo, sino que también es un campo privilegiado para el estudio del comportamiento social y humano. Durante las últimas décadas, se ha producido un enorme crecimiento y especialización de las ciencias del deporte y el lema del 18º Congreso del European College of Sport Sciences (ECSS “Unificar las ciencias del deporte” representa desafiar este proceso de fragmentación. El lema conlleva un cambio de la especialización a la integración, de una concepción de los sistemas vivos basada en la teoría de la información y la ingeniería a una de base biológica, de la investigación multidisciplinaria a la transdisciplinaria. Pero aparece una pregunta: ¿es posible integrar las áreas fragmentadas y facilitar la transferencia de los principios explicativos teóricos, técnicas y perspectivas metodológicas entre disciplinas? En el marco de las contribuciones hechas en el congreso, este artículo tiene como objetivo introducir enfoques científicos ya extendidos en los ámbitos de la física, la química, la biología (incluyendo las ómicas y las ciencias sociales, y que centradas en las interacciones dinámicas complejas de los componentes sistémicos (proteínas, células, organismos, grupos, sociedades, revelan principios explicativos generales que contribuyen a la unificación del conocimiento. Intentamos animar a las personas interesadas en las ciencias del deporte a percibir nuevas formas de investigación y a complementar, sin sustituirlos, los enfoques dominantes, con la esperanza de que ir de las partes al todo y del todo a las partes ayudará a los científicos a reconocer los caminos más adecuados.

Las redes sociales como herramientas de Relaciones Públicas de las instituciones europeas

Directory of Open Access Journals (Sweden)

Xosé Baamonde Silva

2011-10-01

Full Text Available La Internet es el ágora digital donde todos pueden participar. Las instituciones europeas pueden utilizar las redes sociales como herramientas de diálogo con los ciudadanos para lograr su implicación y compromiso con el proceso de construcción europea. Esta investigación se centra en el análisis de los espacios en la Internet de las principales entidades de la UE para comprobar si están utilizando las nuevas potencialidades tecnológicas para contactarse directamente con la ciudadanía o todavía mantienen una especial atención hacia los medios de comunicación como intermediarios para hacer llegar sus mensajes a la opinión pública.

Cross-Cultural Concept Mapping of Standardized Datasets

DEFF Research Database (Denmark)

Kano Glückstad, Fumiko

2012-01-01

This work compares four feature-based similarity measures derived from cognitive sciences. The purpose of the comparative analysis is to verify the potentially most effective model that can be applied for mapping independent ontologies in a culturally influenced domain [1]. Here, datasets based...

dataTEL - Datasets for Technology Enhanced Learning

NARCIS (Netherlands)

Drachsler, Hendrik; Verbert, Katrien; Sicilia, Miguel-Angel; Wolpers, Martin; Manouselis, Nikos; Vuorikari, Riina; Lindstaedt, Stefanie; Fischer, Frank

2011-01-01

Drachsler, H., Verbert, K., Sicilia, M. A., Wolpers, M., Manouselis, N., Vuorikari, R., Lindstaedt, S., & Fischer, F. (2011). dataTEL - Datasets for Technology Enhanced Learning. STELLAR Alpine Rendez-Vous White Paper. Alpine Rendez-Vous 2011 White paper collection, Nr. 13., France (2011)

Tissue-Based MRI Intensity Standardization: Application to Multicentric Datasets

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Nicolas Robitaille

2012-01-01

Full Text Available Intensity standardization in MRI aims at correcting scanner-dependent intensity variations. Existing simple and robust techniques aim at matching the input image histogram onto a standard, while we think that standardization should aim at matching spatially corresponding tissue intensities. In this study, we present a novel automatic technique, called STI for STandardization of Intensities, which not only shares the simplicity and robustness of histogram-matching techniques, but also incorporates tissue spatial intensity information. STI uses joint intensity histograms to determine intensity correspondence in each tissue between the input and standard images. We compared STI to an existing histogram-matching technique on two multicentric datasets, Pilot E-ADNI and ADNI, by measuring the intensity error with respect to the standard image after performing nonlinear registration. The Pilot E-ADNI dataset consisted in 3 subjects each scanned in 7 different sites. The ADNI dataset consisted in 795 subjects scanned in more than 50 different sites. STI was superior to the histogram-matching technique, showing significantly better intensity matching for the brain white matter with respect to the standard image.

Exploring massive, genome scale datasets with the genometricorr package

KAUST Repository

Favorov, Alexander; Mularoni, Loris; Cope, Leslie M.; Medvedeva, Yulia; Mironov, Andrey A.; Makeev, Vsevolod J.; Wheelan, Sarah J.

2012-01-01

We have created a statistically grounded tool for determining the correlation of genomewide data with other datasets or known biological features, intended to guide biological exploration of high-dimensional datasets, rather than providing immediate answers. The software enables several biologically motivated approaches to these data and here we describe the rationale and implementation for each approach. Our models and statistics are implemented in an R package that efficiently calculates the spatial correlation between two sets of genomic intervals (data and/or annotated features), for use as a metric of functional interaction. The software handles any type of pointwise or interval data and instead of running analyses with predefined metrics, it computes the significance and direction of several types of spatial association; this is intended to suggest potentially relevant relationships between the datasets. Availability and implementation: The package, GenometriCorr, can be freely downloaded at http://genometricorr.sourceforge.net/. Installation guidelines and examples are available from the sourceforge repository. The package is pending submission to Bioconductor. © 2012 Favorov et al.

Principal Component Analysis of Process Datasets with Missing Values

Directory of Open Access Journals (Sweden)

Kristen A. Severson

2017-07-01

Full Text Available Datasets with missing values arising from causes such as sensor failure, inconsistent sampling rates, and merging data from different systems are common in the process industry. Methods for handling missing data typically operate during data pre-processing, but can also occur during model building. This article considers missing data within the context of principal component analysis (PCA, which is a method originally developed for complete data that has widespread industrial application in multivariate statistical process control. Due to the prevalence of missing data and the success of PCA for handling complete data, several PCA algorithms that can act on incomplete data have been proposed. Here, algorithms for applying PCA to datasets with missing values are reviewed. A case study is presented to demonstrate the performance of the algorithms and suggestions are made with respect to choosing which algorithm is most appropriate for particular settings. An alternating algorithm based on the singular value decomposition achieved the best results in the majority of test cases involving process datasets.

Exploring massive, genome scale datasets with the genometricorr package

KAUST Repository

Favorov, Alexander

2012-05-31

We have created a statistically grounded tool for determining the correlation of genomewide data with other datasets or known biological features, intended to guide biological exploration of high-dimensional datasets, rather than providing immediate answers. The software enables several biologically motivated approaches to these data and here we describe the rationale and implementation for each approach. Our models and statistics are implemented in an R package that efficiently calculates the spatial correlation between two sets of genomic intervals (data and/or annotated features), for use as a metric of functional interaction. The software handles any type of pointwise or interval data and instead of running analyses with predefined metrics, it computes the significance and direction of several types of spatial association; this is intended to suggest potentially relevant relationships between the datasets. Availability and implementation: The package, GenometriCorr, can be freely downloaded at http://genometricorr.sourceforge.net/. Installation guidelines and examples are available from the sourceforge repository. The package is pending submission to Bioconductor. © 2012 Favorov et al.

Testing the Neutral Theory of Biodiversity with Human Microbiome Datasets

OpenAIRE

Li, Lianwei; Ma, Zhanshan (Sam)

2016-01-01

The human microbiome project (HMP) has made it possible to test important ecological theories for arguably the most important ecosystem to human health?the human microbiome. Existing limited number of studies have reported conflicting evidence in the case of the neutral theory; the present study aims to comprehensively test the neutral theory with extensive HMP datasets covering all five major body sites inhabited by the human microbiome. Utilizing 7437 datasets of bacterial community samples...

Self-Reported Juvenile Firesetting: Results from Two National Survey Datasets

OpenAIRE

Howell Bowling, Carrie; Merrick, Joav; Omar, Hatim A.

2013-01-01

The main purpose of this study was to address gaps in existing research by examining the relationship between academic performance and attention problems with juvenile firesetting. Two datasets from the Achenbach System for Empirically Based Assessment (ASEBA) were used. The Factor Analysis Dataset (N = 975) was utilized and results indicated that adolescents who report lower academic performance are more likely to set fires. Additionally, adolescents who report a poor attitude toward school ...

Self-reported juvenile firesetting: Results from two national survey datasets

OpenAIRE

Carrie Howell Bowling; Joav eMerrick; Joav eMerrick; Joav eMerrick; Joav eMerrick; Hatim A Omar

2013-01-01

The main purpose of this study was to address gaps in existing research by examining the relationship between academic performance and attention problems with juvenile firesetting. Two datasets from the Achenbach System for Empirically Based Assessment (ASEBA) were used. The Factor Analysis Dataset (N = 975) was utilized and results indicated that adolescents who report lower academic performance are more likely to set fires. Additionally, adolescents who report a poor attitude toward school...

A high quality finger vascular pattern dataset collected using a custom designed capturing device

NARCIS (Netherlands)

Ton, B.T.; Veldhuis, Raymond N.J.

2013-01-01

The number of finger vascular pattern datasets available for the research community is scarce, therefore a new finger vascular pattern dataset containing 1440 images is prsented. This dataset is unique in its kind as the images are of high resolution and have a known pixel density. Furthermore this

Incidencia de las estrategias motivacionales de valor sobre las estrategias cognitivas y metacognitivas en estudiantes de secundaria

Directory of Open Access Journals (Sweden)

José Manuel SUÁREZ RIVEIRO

2016-06-01

Full Text Available El principal propósito de este estudio fue el de proponer un modelo sobre cómo las estrategias de autorregulación motivacional relacionadas con el componente de valor afectan a la utilización de las estrategias cognitivas y metacognitivas del aprendizaje. La muestra utilizada fue de 1103 estudiantes de Secundaria. Se asumió que el efecto de las estrategias motivacionales sobre las estrategias cognitivas puede estar mediado por las estrategias metacognitivas. Los resultados muestran, por un lado, los efectos significativos desde algunas de las estrategias motivacionales, pero no desde todas, hacia la autorregulación y hacia las estrategias cognitivas. Y por otro lado, los efectos significativos desde las estrategias metacognitivas del aprendizaje sobre todas las estrategias cognitivas. A modo de conclusión se plantea la conveniencia de que los estudiantes no adopten sólo estrategias cognitivas y metacognitivas sino que también adopten otro tipo de estrategias, algunas de las estrategias de automotivación, las cuales les permitirán gestionar su propia motivación y por tanto mejorar su aprendizaje.

de las mujeres

Directory of Open Access Journals (Sweden)

Elena Margarita Cacheux Pulido

2003-01-01

Full Text Available El feminismo chicano tiene múltiples venas que nutrieron el pensamiento ideológico, político y estratégico durante todo el siglo pasado. Una de ellas se forma por los encuentros locales, nacionales e internacionales que sirvieron de plataforma para comunicar, entre mujeres, las propias necesidades para el desarrollo y la liberación de la injusticia, intolerancia y desdén. Las mujeres han luchado por medio de sindicatos y movimientos sociales para plantear justas demandas, entre otras, educación, igual salario por igual trabajo, bienestar, permiso de maternidad, cuidado infantil, autodeterminación, información sexual, igualdad en la participación política y liderazgo. Con el avance teórico en las cuestiones de raza, clase, minorías étnicas y feminismo lésbico, se desarrolló la identidad de la nueva chicana a la luz de la emancipación de las mujeres.

RetroTransformDB: A Dataset of Generic Transforms for Retrosynthetic Analysis

Directory of Open Access Journals (Sweden)

Svetlana Avramova

2018-04-01

Full Text Available Presently, software tools for retrosynthetic analysis are widely used by organic, medicinal, and computational chemists. Rule-based systems extensively use collections of retro-reactions (transforms. While there are many public datasets with reactions in synthetic direction (usually non-generic reactions, there are no publicly-available databases with generic reactions in computer-readable format which can be used for the purposes of retrosynthetic analysis. Here we present RetroTransformDB—a dataset of transforms, compiled and coded in SMIRKS line notation by us. The collection is comprised of more than 100 records, with each one including the reaction name, SMIRKS linear notation, the functional group to be obtained, and the transform type classification. All SMIRKS transforms were tested syntactically, semantically, and from a chemical point of view in different software platforms. The overall dataset design and the retrosynthetic fitness were analyzed and curated by organic chemistry experts. The RetroTransformDB dataset may be used by open-source and commercial software packages, as well as chemoinformatics tools.

Las estrategias competitivas y su importancia en la buena gestión de las empresas

Directory of Open Access Journals (Sweden)

Edgar Castro Monge

2010-01-01

Full Text Available Las estrategias competitivas que desarrollan las empresas son un factor fundamental para saber la forma en que éstas van a competir en los mercados y de ellas dependerá si se tiene o no éxito en su gestión empresarial. Es de suma importancia que las empresas puedan identificar la estrategia o conjunto de estrategias más eficaces para competir eficientemente. Solo estableciendo la estrategia pertinente se pueden lograr las metas y objetivos propuestos por las empresas. Para que una estrategia sea exitosa, ésta debe ser coherente con los valores y las metas, con los recursos y capacidades de la misma, con su entorno, con su estructura y sistemas organizativos. El ensayo pretende entonces hacer un análisis de las cinco tipologías de estrategias competitivas más importantes tratadas en la literatura: Miles y Snow (1978, Porter (1980, Miller (1987, Mintzberg (1988 y Kotler (1992. Se trata de de encontrar sus cuestionamientos, similitudes y diferencias y se pretende dar una guía para que las empresas establezcan la estrategia que mejor se adecúa sus características.

Las carencias de la democracia actual y las limitaciones de las teorías de la transición

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Hugo Celso Felipe Mansilla

2002-01-01

Full Text Available El esboza una crítica a las teorías de la transición democrática y seguidamente trata de mostrar las limitaciones de toda democracia de masas contemporánea. Las teorías de la transición son calificadas de institucionalistas porque descuidan el “país real”, atribuyendo una importancia exagerada al “país legal”. El autor propone un cuestionamiento de fenómenos que estas teorías presuponen como positivos: los enfoques contractualistas, la modernidad y la globalización, el crecimiento económico incesante, la mercantilización de toda la vida social, la expansión de los medios masivos de comunicación, la calidad ética e intelectual de las élites gobernantes y la falta de una concepción del bien común.

Cumplimiento de las recomendaciones internacionales en la lucha contra las resistencias bacterianas

DEFF Research Database (Denmark)

Malo, Sara; Jose Rabanaque, Mara; Bjerrum, Lars

2016-01-01

Introducción: El aumento de la resistencia a antibióticosrepresenta una amenaza para la salud pública al poner en riesgoel tratamiento futuro de las infecciones bacterianas. Este estudiotiene como objetivo describir el cumplimiento de las recomendaciones del Advisory Group on Integrated Surveilla......Introducción: El aumento de la resistencia a antibióticosrepresenta una amenaza para la salud pública al poner en riesgoel tratamiento futuro de las infecciones bacterianas. Este estudiotiene como objetivo describir el cumplimiento de las recomendaciones del Advisory Group on Integrated...... Surveillance of Antimicrobial Resistance (AGISAR) de la Organización Mundial de la Salud (OMS), en España y Dinamarca, en cuanto al uso ambulatoriode Critically Important Antimicrobials (CIA), así como analizarla relación entre éste y las resistencias bacterianas a ellos. Material y métodos: Los sistemas...... resistencias bacterianas, que son másmoderadas en Dinamarca. Introduction: Increasing antibiotic resistance represents a major public health threat that jeopardises the future treatment of bacterial infections. This study aims to describe the adherence to recommendations proposed by the World Health...

A multi-environment dataset for activity of daily living recognition in video streams.

Science.gov (United States)

Borreo, Alessandro; Onofri, Leonardo; Soda, Paolo

2015-08-01

Public datasets played a key role in the increasing level of interest that vision-based human action recognition has attracted in last years. While the production of such datasets has been influenced by the variability introduced by various actors performing the actions, the different modalities of interactions with the environment introduced by the variation of the scenes around the actors has been scarcely took into account. As a consequence, public datasets do not provide a proper test-bed for recognition algorithms that aim at achieving high accuracy, irrespective of the environment where actions are performed. This is all the more so, when systems are designed to recognize activities of daily living (ADL), which are characterized by a high level of human-environment interaction. For that reason, we present in this manuscript the MEA dataset, a new multi-environment ADL dataset, which permitted us to show how the change of scenario can affect the performances of state-of-the-art approaches for action recognition.

Visual Comparison of Multiple Gene Expression Datasets in a Genomic Context

Directory of Open Access Journals (Sweden)

Borowski Krzysztof

2008-06-01

Full Text Available The need for novel methods of visualizing microarray data is growing. New perspectives are beneficial to finding patterns in expression data. The Bluejay genome browser provides an integrative way of visualizing gene expression datasets in a genomic context. We have now developed the functionality to display multiple microarray datasets simultaneously in Bluejay, in order to provide researchers with a comprehensive view of their datasets linked to a graphical representation of gene function. This will enable biologists to obtain valuable insights on expression patterns, by allowing them to analyze the expression values in relation to the gene locations as well as to compare expression profiles of related genomes or of di erent experiments for the same genome.

AFSC/REFM: Seabird Necropsy dataset of North Pacific

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The seabird necropsy dataset contains information on seabird specimens that were collected under salvage and scientific collection permits primarily by...

en las relaciones entrenadas

Directory of Open Access Journals (Sweden)

Camilo Hurtado P.

2005-01-01

Full Text Available El presente estudio exploró los efectos en la adquisición y transferencia de discriminaciones condicionales debidos a las diferentes combinaciones de relaciones entrenadas (identidad-diferencia-semejanza en una tarea de igualación a la muestra de segundo orden. De manera complementaria, fueron además dispuestas en la tarea las características que en estudios relacionados habían sido reportadas como facilitadoras de ejecuciones efectivas, a saber: el uso de instrucciones inespecíficas, arreglos de estímulo de tres formas y dos colores y el entrenamiento concurrente de las relaciones. Ocho sujetos fueron distribuidos en cuatro grupos que variaron en la combinación de relaciones a entrenar. Los resultados mostraron que gran parte de los sujetos cumplieron con el criterio de efectividad en entrenamiento y en transferencia extramodal y extrarrelacional, siendo la relación de identidad la relación en la cual se presentaron ejecuciones perfectas, al margen de si ésta había sido entrenada o no. Se discuten los resultados en términos de velocidad de ajuste a las relaciones y de las configuraciones de la tarea que facilitaron mejores desempeños. Se proponen, además, posibles investigaciones que superen las limitaciones metodológicas encontradas en este estudio y que exploren posibles interacciones de las variables manipuladas con otras variables de interés.

Publishing datasets with eSciDoc and panMetaDocs

Science.gov (United States)

Ulbricht, D.; Klump, J.; Bertelmann, R.

2012-04-01

Currently serveral research institutions worldwide undertake considerable efforts to have their scientific datasets published and to syndicate them to data portals as extensively described objects identified by a persistent identifier. This is done to foster the reuse of data, to make scientific work more transparent, and to create a citable entity that can be referenced unambigously in written publications. GFZ Potsdam established a publishing workflow for file based research datasets. Key software components are an eSciDoc infrastructure [1] and multiple instances of the data curation tool panMetaDocs [2]. The eSciDoc repository holds data objects and their associated metadata in container objects, called eSciDoc items. A key metadata element in this context is the publication status of the referenced data set. PanMetaDocs, which is based on PanMetaWorks [3], is a PHP based web application that allows to describe data with any XML-based metadata schema. The metadata fields can be filled with static or dynamic content to reduce the number of fields that require manual entries to a minimum and make use of contextual information in a project setting. Access rights can be applied to set visibility of datasets to other project members and allow collaboration on and notifying about datasets (RSS) and interaction with the internal messaging system, that was inherited from panMetaWorks. When a dataset is to be published, panMetaDocs allows to change the publication status of the eSciDoc item from status "private" to "submitted" and prepare the dataset for verification by an external reviewer. After quality checks, the item publication status can be changed to "published". This makes the data and metadata available through the internet worldwide. PanMetaDocs is developed as an eSciDoc application. It is an easy to use graphical user interface to eSciDoc items, their data and metadata. It is also an application supporting a DOI publication agent during the process of

EFECTO DE UNA HERRAMIENTA HIPERMEDIA SOBRE LAS VARIABLES AFECTIVO-MOTIVACIONALES RELACIONADAS CON LAS MATEMÁTICAS

Directory of Open Access Journals (Sweden)

Marisol Cueli

2018-01-01

Full Text Available Uno de los condicionantes en el aprendizaje de las matemáticas son las va- riables afectivo-motivacionales de los estudiantes hacia esta asignatura. Así, variables como la utilidad percibida, competencia percibida, motivación in- trínseca y ansiedad hacia las matemáticas juegan un papel clave en el apren- dizaje de esta asignatura. Teniendo en cuenta las nuevas metodologías en la enseñanza, tales como las pizarras digitales y las aplicaciones hipermedia, en este estudio se pretende analizar el bene®cio del uso de las mismas en térmi- nos de las condiciones afectivo-motivacionales mencionadas y en qué medida dichos bene®cios están relacionados con los niveles afectivo-motivacionales previos. Para alcanzar este objetivo se trabajó con 425 estudiantes de quinto y sexto de Educación Primaria, quienes recibieron instrucción matemática con el apoyo de una herramienta hipermedia. Se recogieron los niveles afectivo- motivacionales de todos los estudiantes antes y después de la intervención instruccional utilizando el Inventario de Actitud hacia las Matemáticas. Los resultados de la prueba t de student para muestras relacionadas mostraron diferencias estadísticamente signi®cativas en el postest frente al pretest en las variables competencia percibida y ansiedad ante las matemáticas. Además, fueron aquellos estudiantes con bajos niveles afectivo-motivacionales previos quienes mostraron un mayor bene®cio de la intervención. Estos resultados son discutidos a la luz de los resultados de la investigación pasada y se sugie- ren líneas de investigación futura.

Random Coefficient Logit Model for Large Datasets

NARCIS (Netherlands)

C. Hernández-Mireles (Carlos); D. Fok (Dennis)

2010-01-01

textabstractWe present an approach for analyzing market shares and products price elasticities based on large datasets containing aggregate sales data for many products, several markets and for relatively long time periods. We consider the recently proposed Bayesian approach of Jiang et al [Jiang,

NOAA Global Surface Temperature Dataset, Version 4.0

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The NOAA Global Surface Temperature Dataset (NOAAGlobalTemp) is derived from two independent analyses: the Extended Reconstructed Sea Surface Temperature (ERSST)...

Las cinco grandes dimensiones de la personalidad

Directory of Open Access Journals (Sweden)

Jan ter Laak

1996-12-01

Full Text Available Este artículo revisa las distintas posiciones teóricas sobre las cinco grandes dimensiones de la personalidad, mostrando las semejanzas y diferencias entre las posturas teóricas. Esta contribución presenta lo siguiente: (a la génesis del contenido y la estructura de las cinco dimensiones; (b la fortaleza de las cinco dimensiones; (e la relación de las cinco grandes dimensiones con otros constructos de personalidad; (d discute el valor predictivo de las puntuaciones del perfil de las cinco dimensiones para criterios pertinentes; (e analiza el estatus teórico de las cinco dimensiones; (f discute críticas históricas sobre las cinco grandes dimensiones y se formulan respuestas a estas críticas; (g hace conjeturas para el futuro de las cinco grandes dimensiones; y (h concluye con algunas conclusiones y comentarios.

A multimodal MRI dataset of professional chess players.

Science.gov (United States)

Li, Kaiming; Jiang, Jing; Qiu, Lihua; Yang, Xun; Huang, Xiaoqi; Lui, Su; Gong, Qiyong

2015-01-01

Chess is a good model to study high-level human brain functions such as spatial cognition, memory, planning, learning and problem solving. Recent studies have demonstrated that non-invasive MRI techniques are valuable for researchers to investigate the underlying neural mechanism of playing chess. For professional chess players (e.g., chess grand masters and masters or GM/Ms), what are the structural and functional alterations due to long-term professional practice, and how these alterations relate to behavior, are largely veiled. Here, we report a multimodal MRI dataset from 29 professional Chinese chess players (most of whom are GM/Ms), and 29 age matched novices. We hope that this dataset will provide researchers with new materials to further explore high-level human brain functions.

REM-3D Reference Datasets: Reconciling large and diverse compilations of travel-time observations

Science.gov (United States)

Moulik, P.; Lekic, V.; Romanowicz, B. A.

2017-12-01

A three-dimensional Reference Earth model (REM-3D) should ideally represent the consensus view of long-wavelength heterogeneity in the Earth's mantle through the joint modeling of large and diverse seismological datasets. This requires reconciliation of datasets obtained using various methodologies and identification of consistent features. The goal of REM-3D datasets is to provide a quality-controlled and comprehensive set of seismic observations that would not only enable construction of REM-3D, but also allow identification of outliers and assist in more detailed studies of heterogeneity. The community response to data solicitation has been enthusiastic with several groups across the world contributing recent measurements of normal modes, (fundamental mode and overtone) surface waves, and body waves. We present results from ongoing work with body and surface wave datasets analyzed in consultation with a Reference Dataset Working Group. We have formulated procedures for reconciling travel-time datasets that include: (1) quality control for salvaging missing metadata; (2) identification of and reasons for discrepant measurements; (3) homogenization of coverage through the construction of summary rays; and (4) inversions of structure at various wavelengths to evaluate inter-dataset consistency. In consultation with the Reference Dataset Working Group, we retrieved the station and earthquake metadata in several legacy compilations and codified several guidelines that would facilitate easy storage and reproducibility. We find strong agreement between the dispersion measurements of fundamental-mode Rayleigh waves, particularly when made using supervised techniques. The agreement deteriorates substantially in surface-wave overtones, for which discrepancies vary with frequency and overtone number. A half-cycle band of discrepancies is attributed to reversed instrument polarities at a limited number of stations, which are not reflected in the instrument response history

An integrated pan-tropical biomass map using multiple reference datasets

OpenAIRE

Avitabile, V.; Herold, M.; Heuvelink, G. B. M.; Lewis, S. L.; Phillips, O. L.; Asner, G. P.; Armston, J.; Ashton, P. S.; Banin, L.; Bayol, N.; Berry, N. J.; Boeckx, P.; de Jong, B. H. J.; DeVries, B.; Girardin, C. A. J.

2016-01-01

We combined two existing datasets of vegetation aboveground biomass (AGB) (Proceedings of the National Academy of Sciences of the United States of America, 108, 2011, 9899; Nature Climate Change, 2, 2012, 182) into a pan-tropical AGB map at 1-km resolution using an independent reference dataset of field observations and locally calibrated high-resolution biomass maps, harmonized and upscaled to 14 477 1-km AGB estimates. Our data fusion approach uses bias removal and weighted linear averaging...

Las "auctoritates" escolásticas en las Siete Partidas

OpenAIRE

Vázquez Janeiro, Isaac

1992-01-01

Examen de las fuentes utilizadas en los pasajes de las Siete Partidas relativos a la doctrina general de los sacramentos y en particular de los sacramentos del bautismo y del matrimonio. A base de los resultados obtenidos se sacan conclusiones sobre el carácter de la obra alfonsina. Examination of the sources used in the passages of the Siete Partidas relating to the general doctrine of the Sacraments and specially of the sacraments of Baptism and Marriage.

La atenuación en las “Conclusiones” de las tesis de doctorado

Directory of Open Access Journals (Sweden)

Esperanza Acín Villa

2016-07-01

Full Text Available Este trabajo es un primer acercamiento al estudio de la atenuación en el apartado “Conclusiones” de las tesis de doctorado en español. Se toma como punto de partida el concepto de atenuación y la metodología descriptiva y de análisis propuesta y desarrollada por el grupo Es.Var.Atenuación, que se adaptan a las características propias del discurso académico especializado y concretamente de la tesis doctoral. Se estudia un corpus compuesto por las “Conclusiones” de 50 tesis de doctorado escritas en España en los últimos años, en las que se descubre la atenuación a través de un número limitado de procedimientos, por medio de los cuales los autores se ocultan y relativizan sus afirmaciones tal como requieren tanto la retórica como las convenciones de escritura académicas.

USGS National Hydrography Dataset from The National Map

Data.gov (United States)

U.S. Geological Survey, Department of the Interior — USGS The National Map - National Hydrography Dataset (NHD) is a comprehensive set of digital spatial data that encodes information about naturally occurring and...

Newton SSANTA Dr Water using POU filters dataset

Data.gov (United States)

U.S. Environmental Protection Agency — This dataset contains information about all the features extracted from the raw data files, the formulas that were assigned to some of these features, and the...

Full-Scale Approximations of Spatio-Temporal Covariance Models for Large Datasets

KAUST Repository

Zhang, Bohai

2014-01-01

Various continuously-indexed spatio-temporal process models have been constructed to characterize spatio-temporal dependence structures, but the computational complexity for model fitting and predictions grows in a cubic order with the size of dataset and application of such models is not feasible for large datasets. This article extends the full-scale approximation (FSA) approach by Sang and Huang (2012) to the spatio-temporal context to reduce computational complexity. A reversible jump Markov chain Monte Carlo (RJMCMC) algorithm is proposed to select knots automatically from a discrete set of spatio-temporal points. Our approach is applicable to nonseparable and nonstationary spatio-temporal covariance models. We illustrate the effectiveness of our method through simulation experiments and application to an ozone measurement dataset.

LAS COMPETENCIAS INDIVIDUALES: DE LAS EXPECTATIVAS DE TERCEROS A LA IDENTIDAD PERSONAL

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Juan B. Climént Bonilla

2014-01-01

Full Text Available Hoy en día, la predicción del desempeño académico y labo ral de las personas se apega fundamentalmente a dos enfoques formales: el primero, y más antiguo, se centra en la evaluación de la inteligencia de los individuos; el segundo, que viene de unas décadas atrás a la fecha, en la evaluación de las competencias individuales. El principal propósito de este artículo es sustentar el valor de la identidad personal, más allá del conferido a la evaluación de la inteligencia y las expectativas de desempeño, para mejorar procesos de enseñanza - aprendizaje encaminados a la formación integral en el transcurso de la vida. En el marco de una investigación cualitativa, el artículo se estructura a partir del análisis de tres ejes temáticos y su interrelación: a dimensiones cualitativas y cuantitativas de la inteligencia, b fac tores biológicos y no biológicos de las capacidades mentales, y, c la identidad personal como constructo de aprendizaje pensante. Los resultados de la investigación — de carácter teórico - cualitativo — aportan elementos que pueden servir al mejoramiento de p rocesos de enseñanza - aprendizaje en distintas etapas y contextos de la formación de individuos y grupos. Se sustentan las limitaciones de las pruebas de inteligencia (CI y las pruebas estandarizadas de competencia en el ámbito del desarrollo de la identid ad personal a través de la educación.

en las iniciativas de Paz que construyen las bases desde lo local

Directory of Open Access Journals (Sweden)

Esperanza Hernández Delgado

2002-01-01

Full Text Available El artículo destaca, desde los hallazgos de la investigación para la paz, los significados y alcances propios que comunidades indígenas, negras y campesinas, han dado a la paz y la no violencia en Colombia. Estas comunidades, no conocían la propuesta pacifista de Gandhi, Matin Luther King o Mandela, y sin embargo, desde sus necesidades y procesos propios, han generado, apropiado y jalonado, en forma perfectible, iniciativas de paz desde la base, en las que la paz ha sido concebida como defensa de la vida, resistencia civil al conflicto armado, protección de la autonomía y autodeterminación de las comunidades frente a los actores armados, participación política, desarrollo desde las bases, profundización de la democracia y defensa de la cultura, entre otras. En igual forma, estas comunidades han demostrado que Colombia también es escenario de paz y que esta no sólo se construye desde el Estado y los actores armados, sino desde las bases, que se organizan sin recurrir a las armas, en escenarios locales, para darle significados propios.

USGS National Boundary Dataset (NBD) Downloadable Data Collection

Data.gov (United States)

U.S. Geological Survey, Department of the Interior — The USGS Governmental Unit Boundaries dataset from The National Map (TNM) represents major civil areas for the Nation, including States or Territories, counties (or...

Las condiciones de vida en las cárceles mexicanas

OpenAIRE

Elena Azaola

2007-01-01

Con base en dos encuestas levantadas en 2003 y 2006 a una muestra representativa de la población de internos en los establecimientos penitenciarios del Distrito Federal y el Estado de México, el texto analiza las condiciones de vida en prisión y se refiere a los desaciertos de las políticas de seguridad que los han llevado ahí.

Las Serpientes en Colombia

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Daniel H.

1949-12-01

Full Text Available El estudio de las serpientes en Colombia no deja de tener su particular interés; existe una inmensa variedad de especies que se escalonan desde los valles ardientes hasta alturas relativamente considerables; en estos últimos puntos disminuye notablemente la variedad de formas y de modo especial las especies provistas de veneno. Hacer una distinción entre las especies venenosas y las inofensivas, resulta un tanto difícil; en algunos textos se dan unas cuántas reglas, pero la mayor parte de ellas sólo tienen aplicación con especies exóticas ya que la mayor parte de esas distinciones se han tomado de obras que hacen referencia a la fauna europea.

Las necesidades formativas pedagógicas del profesorado universitario de las FADBA

OpenAIRE

Hirle Almeida, Vania

2010-01-01

Este trabajo es el resultado de una investigación sobre las competencias pedagógicas necesarias en la práctica del profesorado la cual se llevó a cabo en las Faculdades Adventistas da Bahía (FADBA), localizadas en el municipio de Cachoeira, en la provincia de Bahía, Brasil. El estudio se propuso responder a la siguiente cuestión: ¿Qué competencias pedagógicas necesita desarrollar el profesorado universitario de las FADBA para satisfacer sus necesidades formativas? Además: ¿Cómo podrá la insti...

Thesaurus Dataset of Educational Technology in Chinese

Science.gov (United States)

Wu, Linjing; Liu, Qingtang; Zhao, Gang; Huang, Huan; Huang, Tao

2015-01-01

The thesaurus dataset of educational technology is a knowledge description of educational technology in Chinese. The aims of this thesaurus were to collect the subject terms in the domain of educational technology, facilitate the standardization of terminology and promote the communication between Chinese researchers and scholars from various…

Heterogeneidad regional en las diferencias por género en las tasas de desempleo en Colombia

OpenAIRE

Enrique López-Bazo; Juan C. Duque; Gustavo A. García; Paula Herrera-Idágarra

2015-01-01

Este trabajo describe la diversidad regional que presentan las brechas de desempleo entre hombres y mujeres en Colombia y evalúa en qué medida dichas brechas se deben a diferencias en los patrones de demanda laboral de las distintas ciudades. Los resultados muestran que, en efecto, las brechas están relacionadas con factores de demanda, pero esa relación es en parte endógena a la heterogeneidad regional en (las diferencias en) las características de hombres y mujeres, que afectan su propensió...

BASE MAP DATASET, LE FLORE COUNTY, OKLAHOMA, USA

Data.gov (United States)

Federal Emergency Management Agency, Department of Homeland Security — Basemap datasets comprise six of the seven FGDC themes of geospatial data that are used by most GIS applications (Note: the seventh framework theme, orthographic...

Sistema automatizado para el control de las inversiones en las redes eléctricas.

OpenAIRE

Maylín Díaz Pardillo; María Ela Díaz Gómez; Orlando Brunet Arias

2015-01-01

El presente trabajo investigativo abarca las etapas de la automatización del proceso de control en la ejecución de las inversiones que se realizan en las redes del Sistema Electroenergético Nacional, integrado al Sistema Integral de Gestión de Redes de la Unión Eléctrica. Para el desarrollo de la aplicación se llevaron a cabo las etapas del proceso de desarrollo de software, según lo especifica el Proceso Unificado de Desarrollo (RUP), utilizándose como herramienta de modelado para el análisi...

De las bibliotecas virtuales a las ontologías y webs semánticas

OpenAIRE

Agenjo, Xavier

2004-01-01

Una de las funciones, no la única, de las bibliotecas públicas es la de preservar el patrimonio bibliográfico y documental, una misión encomendada en régimen de exclusividad según la Ley de Patrimonio Histórico a las Comunidades Autónomas. Como consecuencia de la aplicación de esta ley y de su desarrollo, así como de la propia historia del Catálogo Colectivo del Patrimonio Bibliográfico se están produciendo importantes cambios en las implicaciones de este instrumento. Recientemente algunas Co...

Exudate-based diabetic macular edema detection in fundus images using publicly available datasets

Energy Technology Data Exchange (ETDEWEB)

Giancardo, Luca [ORNL; Meriaudeau, Fabrice [ORNL; Karnowski, Thomas Paul [ORNL; Li, Yaquin [University of Tennessee, Knoxville (UTK); Garg, Seema [University of North Carolina; Tobin Jr, Kenneth William [ORNL; Chaum, Edward [University of Tennessee, Knoxville (UTK)

2011-01-01

Diabetic macular edema (DME) is a common vision threatening complication of diabetic retinopathy. In a large scale screening environment DME can be assessed by detecting exudates (a type of bright lesions) in fundus images. In this work, we introduce a new methodology for diagnosis of DME using a novel set of features based on colour, wavelet decomposition and automatic lesion segmentation. These features are employed to train a classifier able to automatically diagnose DME through the presence of exudation. We present a new publicly available dataset with ground-truth data containing 169 patients from various ethnic groups and levels of DME. This and other two publicly available datasets are employed to evaluate our algorithm. We are able to achieve diagnosis performance comparable to retina experts on the MESSIDOR (an independently labelled dataset with 1200 images) with cross-dataset testing (e.g., the classifier was trained on an independent dataset and tested on MESSIDOR). Our algorithm obtained an AUC between 0.88 and 0.94 depending on the dataset/features used. Additionally, it does not need ground truth at lesion level to reject false positives and is computationally efficient, as it generates a diagnosis on an average of 4.4 s (9.3 s, considering the optic nerve localization) per image on an 2.6 GHz platform with an unoptimized Matlab implementation.

A conceptual prototype for the next-generation national elevation dataset

Science.gov (United States)

Stoker, Jason M.; Heidemann, Hans Karl; Evans, Gayla A.; Greenlee, Susan K.

2013-01-01

In 2012 the U.S. Geological Survey's (USGS) National Geospatial Program (NGP) funded a study to develop a conceptual prototype for a new National Elevation Dataset (NED) design with expanded capabilities to generate and deliver a suite of bare earth and above ground feature information over the United States. This report details the research on identifying operational requirements based on prior research, evaluation of what is needed for the USGS to meet these requirements, and development of a possible conceptual framework that could potentially deliver the kinds of information that are needed to support NGP's partners and constituents. This report provides an initial proof-of-concept demonstration using an existing dataset, and recommendations for the future, to inform NGP's ongoing and future elevation program planning and management decisions. The demonstration shows that this type of functional process can robustly create derivatives from lidar point cloud data; however, more research needs to be done to see how well it extends to multiple datasets.

Exploring massive, genome scale datasets with the GenometriCorr package.

Directory of Open Access Journals (Sweden)

Alexander Favorov

2012-05-01

Full Text Available We have created a statistically grounded tool for determining the correlation of genomewide data with other datasets or known biological features, intended to guide biological exploration of high-dimensional datasets, rather than providing immediate answers. The software enables several biologically motivated approaches to these data and here we describe the rationale and implementation for each approach. Our models and statistics are implemented in an R package that efficiently calculates the spatial correlation between two sets of genomic intervals (data and/or annotated features, for use as a metric of functional interaction. The software handles any type of pointwise or interval data and instead of running analyses with predefined metrics, it computes the significance and direction of several types of spatial association; this is intended to suggest potentially relevant relationships between the datasets.The package, GenometriCorr, can be freely downloaded at http://genometricorr.sourceforge.net/. Installation guidelines and examples are available from the sourceforge repository. The package is pending submission to Bioconductor.

Kernel-based discriminant feature extraction using a representative dataset

Science.gov (United States)

Li, Honglin; Sancho Gomez, Jose-Luis; Ahalt, Stanley C.

2002-07-01

Discriminant Feature Extraction (DFE) is widely recognized as an important pre-processing step in classification applications. Most DFE algorithms are linear and thus can only explore the linear discriminant information among the different classes. Recently, there has been several promising attempts to develop nonlinear DFE algorithms, among which is Kernel-based Feature Extraction (KFE). The efficacy of KFE has been experimentally verified by both synthetic data and real problems. However, KFE has some known limitations. First, KFE does not work well for strongly overlapped data. Second, KFE employs all of the training set samples during the feature extraction phase, which can result in significant computation when applied to very large datasets. Finally, KFE can result in overfitting. In this paper, we propose a substantial improvement to KFE that overcomes the above limitations by using a representative dataset, which consists of critical points that are generated from data-editing techniques and centroid points that are determined by using the Frequency Sensitive Competitive Learning (FSCL) algorithm. Experiments show that this new KFE algorithm performs well on significantly overlapped datasets, and it also reduces computational complexity. Further, by controlling the number of centroids, the overfitting problem can be effectively alleviated.

Topographical effects of climate dataset and their impacts on the estimation of regional net primary productivity

Science.gov (United States)

Sun, L. Qing; Feng, Feng X.

2014-11-01

In this study, we first built and compared two different climate datasets for Wuling mountainous area in 2010, one of which considered topographical effects during the ANUSPLIN interpolation was referred as terrain-based climate dataset, while the other one did not was called ordinary climate dataset. Then, we quantified the topographical effects of climatic inputs on NPP estimation by inputting two different climate datasets to the same ecosystem model, the Boreal Ecosystem Productivity Simulator (BEPS), to evaluate the importance of considering relief when estimating NPP. Finally, we found the primary contributing variables to the topographical effects through a series of experiments given an overall accuracy of the model output for NPP. The results showed that: (1) The terrain-based climate dataset presented more reliable topographic information and had closer agreements with the station dataset than the ordinary climate dataset at successive time series of 365 days in terms of the daily mean values. (2) On average, ordinary climate dataset underestimated NPP by 12.5% compared with terrain-based climate dataset over the whole study area. (3) The primary climate variables contributing to the topographical effects of climatic inputs for Wuling mountainous area were temperatures, which suggest that it is necessary to correct temperature differences for estimating NPP accurately in such a complex terrain.

USGS Watershed Boundary Dataset (WBD) Overlay Map Service from The National Map - National Geospatial Data Asset (NGDA) Watershed Boundary Dataset (WBD)

Data.gov (United States)

U.S. Geological Survey, Department of the Interior — The Watershed Boundary Dataset (WBD) from The National Map (TNM) defines the perimeter of drainage areas formed by the terrain and other landscape characteristics....

Las frases proverbiales, las locuciones y los refranes en la lexicografía regional y nacional

Directory of Open Access Journals (Sweden)

García Zapata Carlos

1992-06-01

Full Text Available

Las frases proverbiales llamadas también frases hechas, las locuciones o modismos y los proverbios o refranes, expresiones que, según Coseriu (1977, hacen parte del discurso repetido, son unidades específicas que tienen un tratamiento especial en la lingüística por medio de la fraseología, disciplina que las estudia desde el punto de vista de su formación y de sus particularidades estructurales y semánticas. La distinción entre las locuciones y las frases proverbiales, y entre éstas y los refranes no ha sido muy clara dentro de la lexicografía regional y nacional, y no pocos de nuestros paremiólogos han catalogado como refrán a los dichos, las locuciones, las frases proverbiales y otras expresiones de carácter estereotipado; o bajo la denominación general de "frase o expresión figurada" ubican a los fraseologismos diferentes al refrán.

Assessment of NASA's Physiographic and Meteorological Datasets as Input to HSPF and SWAT Hydrological Models

Science.gov (United States)

Alacron, Vladimir J.; Nigro, Joseph D.; McAnally, William H.; OHara, Charles G.; Engman, Edwin Ted; Toll, David

2011-01-01

This paper documents the use of simulated Moderate Resolution Imaging Spectroradiometer land use/land cover (MODIS-LULC), NASA-LIS generated precipitation and evapo-transpiration (ET), and Shuttle Radar Topography Mission (SRTM) datasets (in conjunction with standard land use, topographical and meteorological datasets) as input to hydrological models routinely used by the watershed hydrology modeling community. The study is focused in coastal watersheds in the Mississippi Gulf Coast although one of the test cases focuses in an inland watershed located in northeastern State of Mississippi, USA. The decision support tools (DSTs) into which the NASA datasets were assimilated were the Soil Water & Assessment Tool (SWAT) and the Hydrological Simulation Program FORTRAN (HSPF). These DSTs are endorsed by several US government agencies (EPA, FEMA, USGS) for water resources management strategies. These models use physiographic and meteorological data extensively. Precipitation gages and USGS gage stations in the region were used to calibrate several HSPF and SWAT model applications. Land use and topographical datasets were swapped to assess model output sensitivities. NASA-LIS meteorological data were introduced in the calibrated model applications for simulation of watershed hydrology for a time period in which no weather data were available (1997-2006). The performance of the NASA datasets in the context of hydrological modeling was assessed through comparison of measured and model-simulated hydrographs. Overall, NASA datasets were as useful as standard land use, topographical , and meteorological datasets. Moreover, NASA datasets were used for performing analyses that the standard datasets could not made possible, e.g., introduction of land use dynamics into hydrological simulations

Un proceso de intervención sobre las conductas de seguridad y las condiciones de seguridad y salud en las obras de construcción

OpenAIRE

Becerril Galindo, Marta

2013-01-01

Esta investigación ha desarrollado y contrastado con éxito un método de observación y control de la seguridad de las obras de construcción y un método de acción preventiva que ha demostrado ser eficaz para incrementar la seguridad de las obras, ajustado a las obras españolas de construcción en las fases de estructura y albañilería. Esta metodología es viable para las empresas (de hecho ha sido testada con la participación activa en su aplicación de sus técnicos de prevención) y aumenta signif...

Revestimientos corrosibles de las obras

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Jiménez Montoya, P.

1958-02-01

Full Text Available Not availableEstudio y descripción de los distintos tipos de revestimiento que requieren las obras industriales para protegerlas contra las acciones químicas desarrolladas por las substancias puestas en contacto con ellas. El amplio estado evolutivo actual de los procedimientos industriales exige, como es natural, que las construcciones modernas se proyecten con un conocimiento claro, no ya de su estabilidad estructural, sino de la de sus propios materiales, que, por fenómenos corrosivos, pueden causar la ruina de la construcción. En este trabajo se dan los procedimientos de revestir, las características más importantes de estas protecciones y materiales empleados y, finalmente, su comportamiento en contacto con los agentes agresivos normalmente manipulados en la industria.

A novel dataset for real-life evaluation of facial expression recognition methodologies

NARCIS (Netherlands)

Siddiqi, Muhammad Hameed; Ali, Maqbool; Idris, Muhammad; Banos Legran, Oresti; Lee, Sungyoung; Choo, Hyunseung

2016-01-01

One limitation seen among most of the previous methods is that they were evaluated under settings that are far from real-life scenarios. The reason is that the existing facial expression recognition (FER) datasets are mostly pose-based and assume a predefined setup. The expressions in these datasets

Creating a Regional MODIS Satellite-Driven Net Primary Production Dataset for European Forests

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Mathias Neumann

2016-06-01

Full Text Available Net primary production (NPP is an important ecological metric for studying forest ecosystems and their carbon sequestration, for assessing the potential supply of food or timber and quantifying the impacts of climate change on ecosystems. The global MODIS NPP dataset using the MOD17 algorithm provides valuable information for monitoring NPP at 1-km resolution. Since coarse-resolution global climate data are used, the global dataset may contain uncertainties for Europe. We used a 1-km daily gridded European climate data set with the MOD17 algorithm to create the regional NPP dataset MODIS EURO. For evaluation of this new dataset, we compare MODIS EURO with terrestrial driven NPP from analyzing and harmonizing forest inventory data (NFI from 196,434 plots in 12 European countries as well as the global MODIS NPP dataset for the years 2000 to 2012. Comparing these three NPP datasets, we found that the global MODIS NPP dataset differs from NFI NPP by 26%, while MODIS EURO only differs by 7%. MODIS EURO also agrees with NFI NPP across scales (from continental, regional to country and gradients (elevation, location, tree age, dominant species, etc.. The agreement is particularly good for elevation, dominant species or tree height. This suggests that using improved climate data allows the MOD17 algorithm to provide realistic NPP estimates for Europe. Local discrepancies between MODIS EURO and NFI NPP can be related to differences in stand density due to forest management and the national carbon estimation methods. With this study, we provide a consistent, temporally continuous and spatially explicit productivity dataset for the years 2000 to 2012 on a 1-km resolution, which can be used to assess climate change impacts on ecosystems or the potential biomass supply of the European forests for an increasing bio-based economy. MODIS EURO data are made freely available at ftp://palantir.boku.ac.at/Public/MODIS_EURO.

Las prácticas recreativas y de ocio en las áreas arboladas periurbanas andaluzas

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Antonio Fajardo de la Fuente

1990-02-01

Full Text Available Desde las últimas décadas, asistimos a un proceso ininterrumpido de amplia­ción del tiempo libre dedicado al ocio. Ligado a él, se han intensificado conside­rablemente las excursiones de los residentes en los núcleos urbanos grandes y medianos hacia las zonas arboladas y los espacios verdes próximos. La extensión de los popularmente denominados "domingueros" ha sido tratada por diversos autores, fundamentalmente en los aspectos sociológicos (GAVIRIA, 1964 y 1971; RACIONERO, 1983. El fenómeno se explica por la generalización del automóvil entre las capas sociales de menor poder adquisitivo, que ha contribuido a hacer de las "salidas al campo" una de las fórmulas más baratas para el esparcimiento y disfrute al aire libre del tiempo de ocio, principalmente para aquellos que no puedan disponer de una segunda residencia.

Boundary expansion algorithm of a decision tree induction for an imbalanced dataset

Directory of Open Access Journals (Sweden)

Kesinee Boonchuay

2017-10-01

Full Text Available A decision tree is one of the famous classifiers based on a recursive partitioning algorithm. This paper introduces the Boundary Expansion Algorithm (BEA to improve a decision tree induction that deals with an imbalanced dataset. BEA utilizes all attributes to define non-splittable ranges. The computed means of all attributes for minority instances are used to find the nearest minority instance, which will be expanded along all attributes to cover a minority region. As a result, BEA can successfully cope with an imbalanced dataset comparing with C4.5, Gini, asymmetric entropy, top-down tree, and Hellinger distance decision tree on 25 imbalanced datasets from the UCI Repository.

Las redes de sensores inalámbricos y el internet de las cosas

Directory of Open Access Journals (Sweden)

Alejandro Cama

2012-01-01

Full Text Available El Internet de las cosas (IoT percibe un mundo donde los dispositivos que lo conforman pueden ser identificados en el Internet y está creciendo a un ritmo acelerado con nuevos dispositivos que se van conectando. En este sentido, las redes de sensores inalámbricos juegan un papel importante para incrementar la ubicuidad de las redes con dispositivos inteligentes de bajo costo y fácil implementación, con estándares como IEEE 802.15.4 en la capa física, 6LoWPAN en la capa de red, y RPL como protocolo de enrutamiento, que se integran en el concepto de IoT para traer nuevas experiencias en las actividades de la vida diaria, como por ejemplo en aplicaciones para hogares y oficinas confortables, salud, vigilancia del medio ambiente y ciudades inteligentes. En el presente artículo se relacionará a la red de sensores inalámbricos con el Internet de las cosas a través de estándares y protocolos.

The StreamCat Dataset: Accumulated Attributes for NHDPlusV2 (Version 2.1) Catchments for the Conterminous United States: National Elevation Dataset

Data.gov (United States)

U.S. Environmental Protection Agency — This dataset represents the elevation values within individual local NHDPlusV2 catchments and upstream, contributing watersheds based on the National Elevation...

Socioeconomic Data and Applications Center (SEDAC) Treaty Status Dataset

Data.gov (United States)

National Aeronautics and Space Administration — The Socioeconomic Data and Application Center (SEDAC) Treaty Status Dataset contains comprehensive treaty information for multilateral environmental agreements,...

Las Sociedades que Utilizan las NIC/NIIF ya no Tienen que Reconciliar las Cifras Contables a US GAAP. ¿Está Justificada

Directory of Open Access Journals (Sweden)

Juan Palomares Laguna

2009-06-01

Full Text Available Nuestro trabajo tiene como objetivo contrastar si la decisión de la SEC en base a la cual se permite no reconciliar el Patrimonio Neto (PN y el Resultado neto (RN, a las normas americanas, exclusivamente a las sociedades que utilizan las NIC/NIIF en sus estados primarios, está justificada o no. Nuestro estudio está referido al sector de las telecomunicaciones por lo que otros trabajos deberán en su caso contrastar si los resultados aquí obtenidos son extrapolables a otros sectores. Utilizando una muestra de sociedades pertenecientes al sector de las telecomunicaciones, analizaremos si las distancias con los US GAAP se reducen o no, una vez que éstas han migrado a las NIC/NIIF y si éstas diferencias son significativas. Podemos afirmar, de forma general, en base a los resultados obtenidos, que la migración a la normativa internacional ha supuesto un acercamiento con los US GAAP y que las diferencias no son significativas, aunque sí existen tipos de ajustes, como las combinaciones de negocios, que de por si solos introducen impactos significativos. Sin embargo, de forma transitoria, las sociedades recién migradas muestran una menor homogeneidad en el RN con los US GAAP.Por todo ello, consideramos acertada la decisión de la SEC, aunque futuras investigaciones deberán confirmar que las diferencias tienden a reducirse una vez que los efectos de la NIIF 1 se difuminan y que los avances previstos en la armonización de iure se trasladan a la armonización de facto.The aim of this paper is to test whether, the SEC’s decision to allow only companies using IFRS not to reconcile their Equity (E and Net Profit (NP to US GAAP is justified. Ourresearch is restricted to the telecommunications sector, and therefore, further research is needed to test whether our result are similar for other sectors. Using a sample of companies belonging to the telecommunications sector, we investigate whether the differences to US GAAP have been reduced after

Las radiaciones ionizantes: una realidad cotidiana

Directory of Open Access Journals (Sweden)

Eduardo Gallego Díaz

2010-12-01

Full Text Available Este trabajo introduce la naturaleza de las sustancias radiactivas y de la radiación ionizante, los efectos que causa sobre la materia y los medios disponibles para su detección y medida, así como las fuentes de radiación naturales a las que los seres humanos estamos expuestos. Seguidamente, en el apartado más amplio del trabajo, se describen las múltiples aplicaciones de las radiaciones ionizantes en la medicina, la agricultura, la industria, las ciencias de la tierra, la biología y otras ramas, lo que permite poder poner su impacto en perspectiva frente al de las fuentes naturales. La tesis final del artículo es que para evitar sufrir daños resulta necesario protegerse adecuadamente de los efectos nocivos de la radiación y las sustancias radiactivas, pero sin limitar innecesariamente su utilización beneficiosa en los numerosos ámbitos descritos. Ese es el objetivo fundamental de la protección radiológica, cuyos principios básicos se presentan para terminar.

Las obligaciones civiles y las víctimas del secuestro en Colombia

Directory of Open Access Journals (Sweden)

Yecid Echeverry Enciso

2015-11-01

Full Text Available Este artículo trata el tema de las víctimas del secuestro en Colombia y el desarrollo jurisprudencial de la Corte Constitucional, que en virtud del principio de solidaridad, terminó por trazar una política criminal que transformó las obligaciones civiles asumidas por aquellas antes del secuestro. En ese sentido, se aborda el tema de la autonomía de la voluntad en materia contractual, los límites a dicha libertad, y las consecuencias que de ello se derivan bajo la concepción de Estado social de derecho.

Karna Particle Size Dataset for Tables and Figures

Data.gov (United States)

U.S. Environmental Protection Agency — This dataset contains 1) table of bulk Pb-XAS LCF results, 2) table of bulk As-XAS LCF results, 3) figure data of particle size distribution, and 4) figure data for...

Modernidades e intimidad: aproximaciones conceptuales para el estudio de las transformaciones de las parejas heterosexuales en México

OpenAIRE

Guillermo Núñez Noriega; Edgar Iván Zazueta Luzanilla

2012-01-01

El artículo tiene como objetivo presentar una reflexión informada sobre los planteos teóricos de la modernidad y su impacto en las parejas heterosexuales en los países desarrollados, elaborados por autores europeos y las investigaciones realizadas en las últimas décadas sobre las concepciones y relaciones de género, así como los conflictos y transformaciones de las parejas y las familias heterosexuales mexicanas (y latinoamericanas). El contraste entre ambas producciones académicas se realiza...

Ecologia de las lombrices de tierra

Science.gov (United States)

Grizelle Gonzalez

2014-01-01

De los organismos de suelo, las lombrices de tierra son las mas conocidas y a menudo son consideradas las mas importantes por su influencia en el funcionamiento de ecosistemas de suelo (Hendriz y Bohlen, 2002). Tienen un efecto significativo en la estructura del suelo, el ciclo de nutrimentos y ls productividad de las cosechas. En terminos de biomasa, generalmente...

Cultura afectiva y emotividad: las emociones en la vida social. Le Breton, D. (1999. Las pasiones ordinarias. Antropología de las emociones, Buenos Aires: Ediciones Nueva Visión

Directory of Open Access Journals (Sweden)

Macarena Fernández

2010-04-01

Full Text Available Esta reseña comenta algunos de los aspectos desarrollados en la obra de David Le Breton Las pasiones ordinarias. Antropología de las emociones editada por Ediciones Nueva Visión. En este trabajo el autor se propone construir una antropología de las emociones a través de dar cuenta de las maneras en que estás se construyen socialmente y cómo se traducen corporalmente. Para llevar a cabo la tarea recorre las diferentes maneras en que los individuos se apropian de las formas de mostrar y compartir sus emociones. El autor discute con las concepciones naturalistas del cuerpo y la vida emocional y se apoyará en dos conceptos que le permitirán darle a las emociones una base social: cultura afectiva y simbólica social. Por un lado, desarrolla la relación del cuerpo con la simbólica social y con la comunicación. Por otro lado, a través de la ejemplificación y comparación de las maneras de expresar, representar y compartir las emociones de diferentes sociedades, va trazando las diferentes culturas afectivas y sentando las bases para la construcción de una antropología de las emociones. Fecha de recepción: 21 de marzo de 2010. Fecha de aceptación: 10 de abril de 2010.

Distintas o iguales: las diferencias en el trabajo doméstico de las parejas de doble ingreso entre las uniones libres y los matrimonios

Directory of Open Access Journals (Sweden)

Landy Sánchez Peña

2016-01-01

Full Text Available La brecha de género en el trabajo doméstico ha sido ampliamente estudiada en México, mostrando gradientes por nivel socioeconómico y diferencias asociadas a la participación de las mujeres en el trabajo extradoméstico. En este artículo indagamos en qué medida ambos procesos dan forma al reparto del trabajo doméstico entre parejas de doble provee - dor que difieren por tipo de unión. Basamos el análisis empírico en la ENIGH 2010 utilizando modelos de regresión. Nuestros resultados sugieren que la brecha de género en el trabajo doméstico es menor en las parejas en unión libre en comparación con las pa - rejas casadas, aun tomando en cuenta efectos de selección. Entre las primeras, la brecha se reduce mayormente conforme aumenta el ingreso, de modo que las parejas en unión libre y de alto ingreso representan el arreglo más equitativo en la división sexual del trabajo no remunerado. Ello se debe a que las mujeres en unión libre dedican menos tiempo al trabajo doméstico que las casadas, mientras que entre los varones no observamos diferencias.

Quality Controlling CMIP datasets at GFDL

Science.gov (United States)

Horowitz, L. W.; Radhakrishnan, A.; Balaji, V.; Adcroft, A.; Krasting, J. P.; Nikonov, S.; Mason, E. E.; Schweitzer, R.; Nadeau, D.

2017-12-01

As GFDL makes the switch from model development to production in light of the Climate Model Intercomparison Project (CMIP), GFDL's efforts are shifted to testing and more importantly establishing guidelines and protocols for Quality Controlling and semi-automated data publishing. Every CMIP cycle introduces key challenges and the upcoming CMIP6 is no exception. The new CMIP experimental design comprises of multiple MIPs facilitating research in different focus areas. This paradigm has implications not only for the groups that develop the models and conduct the runs, but also for the groups that monitor, analyze and quality control the datasets before data publishing, before their knowledge makes its way into reports like the IPCC (Intergovernmental Panel on Climate Change) Assessment Reports. In this talk, we discuss some of the paths taken at GFDL to quality control the CMIP-ready datasets including: Jupyter notebooks, PrePARE, LAMP (Linux, Apache, MySQL, PHP/Python/Perl): technology-driven tracker system to monitor the status of experiments qualitatively and quantitatively, provide additional metadata and analysis services along with some in-built controlled-vocabulary validations in the workflow. In addition to this, we also discuss the integration of community-based model evaluation software (ESMValTool, PCMDI Metrics Package, and ILAMB) as part of our CMIP6 workflow.

las empresas españolas

Directory of Open Access Journals (Sweden)

José Fernández Menéndez

2007-01-01

Full Text Available Los numerosos estudios llevados a cabo acerca del efecto de las Tecnologías de la Información y las Comunicaciones (TIC sobre la productividad de las firmas han puesto de manifiesto que no es suficiente invertir en TIC, sino que una serie de inversiones adicionales, prácticas organizativas específicas, etc, son necesarias. En este trabajo se muestra cómo el efecto del simple uso de las TIC sobre el rendimiento de las firmas es irrelevante, mientras que su uso para la comunicación con clientes y proveedores eleva signifi- cativamente su desempeño. La magnitud utilizada para caracterizar este desempeño es la eficiencia técnica en el proceso de conversión de inputs en outputs. Esta eficiencia técnica se ha calculado utilizando un modelo de Data Envelopment Analysis, metodología estándar en estudios sobre productividad, pero que hasta la fecha apenas ha sido utilizada para analizar el impacto de las TIC sobre el rendimiento empresarial.

El porro pelayero: De las gaitas y tambores a las bandas de viento

Directory of Open Access Journals (Sweden)

Amparo Lotero Botero

1989-04-01

Full Text Available Cuando en los primeros moradores de la costa atlántica la alegría se hizo fiestas, no había con qué amenizarlas. Eran los días en que empezaban a confundirse las expresiones culturales de los esclavos traídos del África, de los europeos llegados a América y de los nativos de estas tierras. Carecían de instrumentos para producir música pero debían ahuyentar la fatiga, las penalidades y el terror de la muerte. Entonces hicieron flautas y gaitas con las cañas que crecen en los pantanos. tambores con troncos de árboles y cueros de animales, y les saca ron música a los primitivos instrumentos con las remembranzas de estos primigenios grupos de habitantes.

Automatic registration method for multisensor datasets adopted for dimensional measurements on cutting tools

International Nuclear Information System (INIS)

Shaw, L; Mehari, F; Weckenmann, A; Ettl, S; Häusler, G

2013-01-01

Multisensor systems with optical 3D sensors are frequently employed to capture complete surface information by measuring workpieces from different views. During coarse and fine registration the resulting datasets are afterward transformed into one common coordinate system. Automatic fine registration methods are well established in dimensional metrology, whereas there is a deficit in automatic coarse registration methods. The advantage of a fully automatic registration procedure is twofold: it enables a fast and contact-free alignment and further a flexible application to datasets of any kind of optical 3D sensor. In this paper, an algorithm adapted for a robust automatic coarse registration is presented. The method was originally developed for the field of object reconstruction or localization. It is based on a segmentation of planes in the datasets to calculate the transformation parameters. The rotation is defined by the normals of three corresponding segmented planes of two overlapping datasets, while the translation is calculated via the intersection point of the segmented planes. First results have shown that the translation is strongly shape dependent: 3D data of objects with non-orthogonal planar flanks cannot be registered with the current method. In the novel supplement for the algorithm, the translation is additionally calculated via the distance between centroids of corresponding segmented planes, which results in more than one option for the transformation. A newly introduced measure considering the distance between the datasets after coarse registration evaluates the best possible transformation. Results of the robust automatic registration method are presented on the example of datasets taken from a cutting tool with a fringe-projection system and a focus-variation system. The successful application in dimensional metrology is proven with evaluations of shape parameters based on the registered datasets of a calibrated workpiece. (paper)

Las estrategias en el aprendizaje de las artes visuales en los estudiantes del I ciclo

OpenAIRE

De La Cruz Ormeño, Jhonny Robert

2017-01-01

El presente trabajo de investigación, tuvo como problema general: ¿Cuál es la relación entre las estrategias en el aprendizaje de las artes visuales en los estudiantes del I ciclo del Institución de Educación Superior Tecnológico Publico “Julio César Tello” Villa el Salvador 2016?. Además el objetivo general fue determinar la relación entre las estrategias y el aprendizaje de las artes visuales, de igual forma la muestra estuvo integrada por 100 estudiantes del I ciclo del Inst...

Civilizar las urnas : conflicto y control en las elecciones colombianas, 1830-1930

Directory of Open Access Journals (Sweden)

Eduardo Posada Carbó

1995-05-01

Full Text Available Los días de elecciones son, para las tropas y para la población, fechas duras y difíciles, en las que siempre se piensa con alguna preocupación", observó Ernest Rothlisberger durante su estadía en Colombia en la década de 1880. Según Rothlisberger, Bogotá no era una ciudad mucho más violenta que otras ciudades que él conocía en Europa. Aunque sí recordó que, mientras vivió en Colombia, sólo salió a la calle armado en una ocasión: "la noche de una tempestuosa jornada electoral". El apasionado espíritu de partido del electorado, los miembros de un jurado atemorizado frente a la presencia de un público hostil y de políticos profesionales, la tropa siempre alrededor de las urnas, eran parte de aquel escenario de frecuentes bullicios tan vívidamente descritos en las memorias de Rothlisberger.

Relación entre las competencias digitales de docentes de educación básica y el uso educativo de las tecnologías en las aulas

Directory of Open Access Journals (Sweden)

Jessica Vargas-D\\u2019Uniam

2014-01-01

Full Text Available Esta investigación es de enfoque cuantitativo y tiene como objetivo identificar la relación entre las competencias digitales de docentes de educación básica y el uso educativo de las Tecnologías de la Información y la Comunicación (TIC. Con este propósito se aplicaron encuestas a un grupo de 127 docentes de 6° grado de primaria y 5° grado de secundaria en 40 escuelas pertenecientes a nueve distritos de Lima. El estudio permitió identificar tres grupos de competencias: tecnológicas básicas, pedagógicas y tecnológicas complejas, encontrándose mayor presencia de las primeras, seguidas por las competencias pedagógicas y finalmente, las competencias tecnológicas complejas. Asimismo, se han identificado dos tipos de uso de las tecnologías en las aulas: personalprofesional y con el alumnado en el salón de clase, confirmándose que a nivel personalprofesional, los recursos más utilizados por el profesorado son el procesador de textos e Internet, en tanto que el uso con el alumnado está centrado en la organización del trabajo en el aula y, con menos frecuencia, en la interacción con los alumnos. Se aprecian además, correlaciones bajas entre las competencias digitales de los profesores y la frecuencia de uso educativo de las tecnologías en las aulas, aunque la correlación es mayor con las competencias complejas.

Analysis of Naïve Bayes Algorithm for Email Spam Filtering across Multiple Datasets

Science.gov (United States)

Fitriah Rusland, Nurul; Wahid, Norfaradilla; Kasim, Shahreen; Hafit, Hanayanti

2017-08-01

E-mail spam continues to become a problem on the Internet. Spammed e-mail may contain many copies of the same message, commercial advertisement or other irrelevant posts like pornographic content. In previous research, different filtering techniques are used to detect these e-mails such as using Random Forest, Naïve Bayesian, Support Vector Machine (SVM) and Neutral Network. In this research, we test Naïve Bayes algorithm for e-mail spam filtering on two datasets and test its performance, i.e., Spam Data and SPAMBASE datasets [8]. The performance of the datasets is evaluated based on their accuracy, recall, precision and F-measure. Our research use WEKA tool for the evaluation of Naïve Bayes algorithm for e-mail spam filtering on both datasets. The result shows that the type of email and the number of instances of the dataset has an influence towards the performance of Naïve Bayes.

INFLUENCIA DE LAS CARACTERÍSTICAS INDIVIDUALES Y DE LAS CONDICIONES LABORALES EN LA GRAVEDAD DE LAS LESIONES POR ACCIDENTE DE TRABAJO REGISTRADAS EN ANDALUCÍA EN 2003

Directory of Open Access Journals (Sweden)

Julia Bolívar Muñoz

2009-01-01

Full Text Available Fundamento. El estudio de la gravedad de las lesiones por accidente de trabajo es clave para el establecimiento de planes de prevención. El objetivo de este trabajo es conocer la distribución de las lesiones registradas por accidente de trabajo con baja según: a las características del trabajador/ora; b las del centro de trabajo y; c las condiciones de empleo y del puesto de trabajo; y analizar la gravedad de las lesiones registradas según estas características en hombres y mujeres en Andalucía. Métodos. Se utilizaron los datos del registro de lesiones por accidente de trabajo con incapacidad laboral durante 2003 en Andalucía. Variable dependiente: grado real de la lesión; variables independientes: las características del/a trabajador/a, de la empresa y las del propio accidente. Se realizó un análisis bivariante y multivariante para estimar la probabilidad de lesión grave, muy grave o mortal asociada al resto de variables mediante la razón de odds (OR y su intervalo de confianza. Resultados. El 82,4% de las lesiones se produjeron en hombres y el 17,6% en mujeres, de las cuales el 78,1% eran trabajadoras manuales no cualificadas, frente al 44,9% de los hombres. En hombres de clase I se encontró una probabilidad mayor de presentar lesiones más graves (OR = 1,67; IC 95% = 1,17-2,38. Conclusiones. La gravedad de las lesiones se relaciona con el sexo, la edad y el tipo de lesión. En los hombres también se asocia con la situación profesional, la clase social, el lugar del accidente, la plantilla del centro y el realizar un trabajo que no es el suyo y en las mujeres con el sector de actividad.

Outlier Removal in Model-Based Missing Value Imputation for Medical Datasets

Directory of Open Access Journals (Sweden)

Min-Wei Huang

2018-01-01

Full Text Available Many real-world medical datasets contain some proportion of missing (attribute values. In general, missing value imputation can be performed to solve this problem, which is to provide estimations for the missing values by a reasoning process based on the (complete observed data. However, if the observed data contain some noisy information or outliers, the estimations of the missing values may not be reliable or may even be quite different from the real values. The aim of this paper is to examine whether a combination of instance selection from the observed data and missing value imputation offers better performance than performing missing value imputation alone. In particular, three instance selection algorithms, DROP3, GA, and IB3, and three imputation algorithms, KNNI, MLP, and SVM, are used in order to find out the best combination. The experimental results show that that performing instance selection can have a positive impact on missing value imputation over the numerical data type of medical datasets, and specific combinations of instance selection and imputation methods can improve the imputation results over the mixed data type of medical datasets. However, instance selection does not have a definitely positive impact on the imputation result for categorical medical datasets.

Discovery of Teleconnections Using Data Mining Technologies in Global Climate Datasets

Directory of Open Access Journals (Sweden)

Fan Lin

2007-10-01

Full Text Available In this paper, we apply data mining technologies to a 100-year global land precipitation dataset and a 100-year Sea Surface Temperature (SST dataset. Some interesting teleconnections are discovered, including well-known patterns and unknown patterns (to the best of our knowledge, such as teleconnections between the abnormally low temperature events of the North Atlantic and floods in Northern Bolivia, abnormally low temperatures of the Venezuelan Coast and floods in Northern Algeria and Tunisia, etc. In particular, we use a high dimensional clustering method and a method that mines episode association rules in event sequences. The former is used to cluster the original time series datasets into higher spatial granularity, and the later is used to discover teleconnection patterns among events sequences that are generated by the clustering method. In order to verify our method, we also do experiments on the SOI index and a 100-year global land precipitation dataset and find many well-known teleconnections, such as teleconnections between SOI lower events and drought events of Eastern Australia, South Africa, and North Brazil; SOI lower events and flood events of the middle-lower reaches of Yangtze River; etc. We also do explorative experiments to help domain scientists discover new knowledge.

Document Questionnaires and Datasets with DDI: A Hands-On Introduction with Colectica

OpenAIRE

Iverson, Jeremy; Smith, Dan

2018-01-01

This workshop offers a hands-on, practical approach to creating and documenting both surveys and datasets with DDI and Colectica. Participants will build and field a DDI-driven survey using their own questions or samples provided in the workshop. They will then ingest, annotate, and publish DDI dataset descriptions using the collected survey data.

Cuidados de enfermería en las principales complicaciones de las quemaduras 2012-2013

OpenAIRE

Tapia Arroyo, Lucía

2013-01-01

Las quemaduras representan una de las patologías más frecuentes, graves e incapacitantes, siendo los accidentes domésticos, de tráfico y laborales sus principales causas. Las quemaduras están influidas por la interacción de los factores biológicos, psicológicos, sociales, económicos, políticos, culturales, éticos, legales, históricos, religiosos y espirituales

Automatic Diabetic Macular Edema Detection in Fundus Images Using Publicly Available Datasets

Energy Technology Data Exchange (ETDEWEB)

Giancardo, Luca [ORNL; Meriaudeau, Fabrice [ORNL; Karnowski, Thomas Paul [ORNL; Li, Yaquin [University of Tennessee, Knoxville (UTK); Garg, Seema [University of North Carolina; Tobin Jr, Kenneth William [ORNL; Chaum, Edward [University of Tennessee, Knoxville (UTK)

2011-01-01

Diabetic macular edema (DME) is a common vision threatening complication of diabetic retinopathy. In a large scale screening environment DME can be assessed by detecting exudates (a type of bright lesions) in fundus images. In this work, we introduce a new methodology for diagnosis of DME using a novel set of features based on colour, wavelet decomposition and automatic lesion segmentation. These features are employed to train a classifier able to automatically diagnose DME. We present a new publicly available dataset with ground-truth data containing 169 patients from various ethnic groups and levels of DME. This and other two publicly available datasets are employed to evaluate our algorithm. We are able to achieve diagnosis performance comparable to retina experts on the MESSIDOR (an independently labelled dataset with 1200 images) with cross-dataset testing. Our algorithm is robust to segmentation uncertainties, does not need ground truth at lesion level, and is very fast, generating a diagnosis on an average of 4.4 seconds per image on an 2.6 GHz platform with an unoptimised Matlab implementation.

A Unified Framework for Measuring Stewardship Practices Applied to Digital Environmental Datasets

Directory of Open Access Journals (Sweden)

Ge Peng

2015-01-01

Full Text Available This paper presents a stewardship maturity assessment model in the form of a matrix for digital environmental datasets. Nine key components are identified based on requirements imposed on digital environmental data and information that are cared for and disseminated by U.S. Federal agencies by U.S. law, i.e., Information Quality Act of 2001, agencies’ guidance, expert bodies’ recommendations, and users. These components include: preservability, accessibility, usability, production sustainability, data quality assurance, data quality control/monitoring, data quality assessment, transparency/traceability, and data integrity. A five-level progressive maturity scale is then defined for each component associated with measurable practices applied to individual datasets, representing Ad Hoc, Minimal, Intermediate, Advanced, and Optimal stages. The rationale for each key component and its maturity levels is described. This maturity model, leveraging community best practices and standards, provides a unified framework for assessing scientific data stewardship. It can be used to create a stewardship maturity scoreboard of dataset(s and a roadmap for scientific data stewardship improvement or to provide data quality and usability information to users, stakeholders, and decision makers.

Desarrollo e implementación de las TICS en las PYMES de Boyacá - Colombia

Directory of Open Access Journals (Sweden)

DORA ESTHER FONSECA PINTO

2013-12-01

Full Text Available Las Pymes se han constituido en uno de los sectores productivos más significativos para las economías de los países a nivel mundial debido a su contribución en el crecimiento económico y a la generación de riqueza. Colombia es un país cuya economía se soporta en empresas de pequeña escala donde las Pymes, conjuntamente con las microempresas, representan al menos el 90% del parque empresarial nacional y generan el 73 % del empleo y el 53% de la producción bruta de los sectores: industrial, comercial y de servicios. No obstante de la importancia que tienen las pymes en la economía del país, ellas enfrentan una serie de problemas que estancan su desarrollo, entre los cuales se encuentra el tema de las tecnologías de la información. Por lo cual se ha querido realizar una investigación donde el principal objetivo del proyecto es estudiar la implementación de las TIC que hacen las pequeñas y medianas empresas (pymes en el departamento de Boyacá, estudio que se desarrolló bajo una metodología cualitativa y cuantitativa aplicando un cuestionario compuesto por 74 indicadores, propuestos por la CEPAL y el OSILAC, a un total de 486 pymes pertenecientes a los diferentes sectores económicos. Donde los resultados obtenidos a través del presente estudio se logro obtener evidencia que las Pymes aun no reconocen la inversión en tecnologías de la información y la comunicación como un factor de competitividad

Empirical correlation among the dynamic elastic constants and the waves P and S velocities in rocks; Correlaciones empiricas entre las constantes elasticas dinamicas y las velocidades de las ondas P y S de las rocas

Energy Technology Data Exchange (ETDEWEB)

Contreras Lopez, Enrique [Instituto de Investigaciones Electricas, Cuernavaca (Mexico)

1995-12-31

Departing from the analysis of a data base on the velocities of the compression waves (V{sub p}) and the transverse waves (V{sub s}) in a group of 97 specimens of sedimentary, igneous and metamorphic rocks, the existence of four types of empirical correlation very well entailed between the dynamic elastic constants and the velocities V{sub p} and V{sub s}. These correlation allow the estimation with a very close approximation the elastic dynamic constants without the need of having available of the complete set of data (V{sub p}, V{sub s} and total density) that is normally required for its determination. The identified correlation is mathematically expressed by means of adjustment equations that reproduce in all of the cases the experimental values with a standard error of estimation within 10%, for the universe of rocks studied and with much less error for different specific lithological groups. The application methodologies of the correlation found for different cases of practical interest, are described. [Espanol] A partir del analisis de una base de datos experimentales sobre la velocidad de las ondas compresionales (V{sub p}) y de las ondas transversales (V{sub s}) de un conjunto de 97 especimenes de rocas sedimentarias, igneas y metamorficas, se identifica la existencia de cuatro tipos de correlaciones empiricas muy bien comportadas entre las constantes elasticas dinamicas y las velocidades V{sub p} y V{sub s}. Estas correlaciones permiten estimar con muy buena aproximacion las constantes elasticas dinamicas de las rocas sin tener que disponer del conjunto completo de datos (V{sub p}, V{sub s} y densidad total) que normalmente se requieren para su determinacion. Las correlaciones identificadas se expresan matematicamente mediante ecuaciones de ajuste que reproducen en todos los casos los valores experimentales con un error estandar de estimacion dentro de 10% para el universo de las rocas estudiadas, y con mucho menor error para diferentes grupos litologicos

Empirical correlation among the dynamic elastic constants and the waves P and S velocities in rocks; Correlaciones empiricas entre las constantes elasticas dinamicas y las velocidades de las ondas P y S de las rocas

Energy Technology Data Exchange (ETDEWEB)

Contreras Lopez, Enrique [Instituto de Investigaciones Electricas, Cuernavaca (Mexico)

1996-12-31

Departing from the analysis of a data base on the velocities of the compression waves (V{sub p}) and the transverse waves (V{sub s}) in a group of 97 specimens of sedimentary, igneous and metamorphic rocks, the existence of four types of empirical correlation very well entailed between the dynamic elastic constants and the velocities V{sub p} and V{sub s}. These correlation allow the estimation with a very close approximation the elastic dynamic constants without the need of having available of the complete set of data (V{sub p}, V{sub s} and total density) that is normally required for its determination. The identified correlation is mathematically expressed by means of adjustment equations that reproduce in all of the cases the experimental values with a standard error of estimation within 10%, for the universe of rocks studied and with much less error for different specific lithological groups. The application methodologies of the correlation found for different cases of practical interest, are described. [Espanol] A partir del analisis de una base de datos experimentales sobre la velocidad de las ondas compresionales (V{sub p}) y de las ondas transversales (V{sub s}) de un conjunto de 97 especimenes de rocas sedimentarias, igneas y metamorficas, se identifica la existencia de cuatro tipos de correlaciones empiricas muy bien comportadas entre las constantes elasticas dinamicas y las velocidades V{sub p} y V{sub s}. Estas correlaciones permiten estimar con muy buena aproximacion las constantes elasticas dinamicas de las rocas sin tener que disponer del conjunto completo de datos (V{sub p}, V{sub s} y densidad total) que normalmente se requieren para su determinacion. Las correlaciones identificadas se expresan matematicamente mediante ecuaciones de ajuste que reproducen en todos los casos los valores experimentales con un error estandar de estimacion dentro de 10% para el universo de las rocas estudiadas, y con mucho menor error para diferentes grupos litologicos

Dataset Preservation for the Long Term: Results of the DareLux Project

Directory of Open Access Journals (Sweden)

Eugène Dürr

2008-08-01

Full Text Available The purpose of the DareLux (Data Archiving River Environment Luxembourg Project was the preservation of unique and irreplaceable datasets, for which we chose hydrology data that will be required to be used in future climatic models. The results are: an operational archive built with XML containers, the OAI-PMH protocol and an architecture based upon web services. Major conclusions are: quality control on ingest is important; digital rights management demands attention; and cost aspects of ingest and retrieval cannot be underestimated. We propose a new paradigm for information retrieval of this type of dataset. We recommend research into visualisation tools for the search and retrieval of this type of dataset.

jóvenes en las videosalas

Directory of Open Access Journals (Sweden)

Fernando Huerta Rojas

2005-01-01

Full Text Available En este trabajo planteo una serie de primeras reflexiones con relación a una de las formas como los jóvenes aprenden, introyectan y practican la violencia de género: el juego. Éste, como institución política, relación social y práctica cultural, es uno de los escenarios pedagógicos donde los hombres expresan y significan el desideratum cultural y la asunción genérica de su condición masculina. Para el caso que nos ocupa, los jóvenes tienen en los juegos virtuales la práctica, las tecnologías y los espacios de socialización, aculturación e interacción contemporánea y globalizada en los que crean, recrean y simbolizan las identidades, las subjetividades, las sexualidades, las estéticas y las culturas juveniles como parte de la experiencia cyborg. En este sentido, la competencia es una de las características del juego, lo cual, como práctica cultural histórica, ha desarrollado un sentido de rivalidad con altos contenidos y significaciones de violencia.

Las emociones sobre la enseñanza-aprendizaje de las ciencias y las matemáticas de futuros profesores de Secundaria

OpenAIRE

Emilio Costillo Borrego; Ana Belén Borrachero Cortés; María Brígido Mero; Vicente Mellado Jiménez

2013-01-01

Las emociones en los estudios de Didáctica de las Ciencias cada vez se tienen más en cuenta, sin embargo son pocos los trabajos dirigidos a los profesores en formación. En este trabajo se analizaron las emociones de 38 futuros profesores de secundaria que cursan el Máster Universitario en Formación del Profesorado en Educación Secundaria de la Universidad de Extremadura en tres especialidades: Biología y Geología, Matemáticas, y Física y Química. Se utilizó un cuestionario para estudiar sus e...

Tutela de los socios de las sociedades de capital en las operaciones de modificación estructural

OpenAIRE

Henao Beltrán, Lina Fernanda

2013-01-01

Las operaciones de modificación estructural de las sociedades de capital inciden directamente sobre el estatus de los socios, este trabajo tiene como objetivo presentar cuáles son los mecanismos que se han concebido tanto en las Directivas de la Unión Europea como en la legislación española para proteger cuantitativa y cualitativamente el nexo que vincula a los socios con las sociedades participantes en las operaciones de fusión, escisión y cesión global de activo y pasivo.

Enhancing Conservation with High Resolution Productivity Datasets for the Conterminous United States

Science.gov (United States)

Robinson, Nathaniel Paul

Human driven alteration of the earth's terrestrial surface is accelerating through land use changes, intensification of human activity, climate change, and other anthropogenic pressures. These changes occur at broad spatio-temporal scales, challenging our ability to effectively monitor and assess the impacts and subsequent conservation strategies. While satellite remote sensing (SRS) products enable monitoring of the earth's terrestrial surface continuously across space and time, the practical applications for conservation and management of these products are limited. Often the processes driving ecological change occur at fine spatial resolutions and are undetectable given the resolution of available datasets. Additionally, the links between SRS data and ecologically meaningful metrics are weak. Recent advances in cloud computing technology along with the growing record of high resolution SRS data enable the development of SRS products that quantify ecologically meaningful variables at relevant scales applicable for conservation and management. The focus of my dissertation is to improve the applicability of terrestrial gross and net primary productivity (GPP/NPP) datasets for the conterminous United States (CONUS). In chapter one, I develop a framework for creating high resolution datasets of vegetation dynamics. I use the entire archive of Landsat 5, 7, and 8 surface reflectance data and a novel gap filling approach to create spatially continuous 30 m, 16-day composites of the normalized difference vegetation index (NDVI) from 1986 to 2016. In chapter two, I integrate this with other high resolution datasets and the MOD17 algorithm to create the first high resolution GPP and NPP datasets for CONUS. I demonstrate the applicability of these products for conservation and management, showing the improvements beyond currently available products. In chapter three, I utilize this dataset to evaluate the relationships between land ownership and terrestrial production

La estrategia, la estructura y las formas de asociación: Fuentes de ventaja competitiva para las pymes colombianas.

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Francisco Velásquez Vásquez

2004-01-01

Full Text Available En este artículo se presenta la importancia de la estrategia, de la estructura y de las formas de asociación de las pequeñas y medianas empresas colombianas (Pymes como fuentes de ventajas competitivas en el entorno internacional. En una primera parte se muestra qué tanto las naciones desarrolladas, como las emergentes, comparten una alta proporción de Pymes en su estructura económica, e igualmente se identifica la caracterización de las mismas en el mundo. En una segunda parte los estudios sobre el diagnóstico de las Pymes colombianas señalan la ausencia de prácticas empresariales competitivas. En una tercera parte se describen distintos modelos teóricos que explican los ciclos de vida de las organizaciones. Adicionalmente se muestran las perspectivas de las Pymes en la primera década del siglo XXI. El artículo finaliza con unas conclusiones y recomendaciones sobre ventajas competitivas para que las Pymes colombianas puedan multiplicar de manera significativa las exportaciones no tradicionales en los próximos años.

Las estrategias de flexibilización laboral en las empresas de confección de ropa

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Carmen Añez Hernández

2006-01-01

Full Text Available Las empresas de confección de ropa en el marco del mercado global, han reestructurado sus tradicionales formas de producción rígidas, asumiendo un nuevo paradigma de producción flexible, con el cual la fuerza de trabajo comienza a sentir los cambios referidos a la desregulación de la mayoría de los aspectos básicos de la relación laboral. En este contexto de cambio, el trabajo tiene como propósitos explorar teóricamente el comportamiento de dichas empresas ante las exigencias de la nueva economía mundial, las estrategias flexibilizadoras aplicadas en las relaciones laborales y su repercusión en los beneficios laborales de los trabajadores. La metodología consistió en una revisión bibliográfica sobre las estrategias de flexibilización laboral e identificar su aplicación en las empresas extranjeras de confección de ropa, permitiendo caracterizarlas y prefijar una posición teórica sobre el objeto de estudio. Los resultados reflejan, que en las empresas de confección de ropa se consolida y legitima la flexibilización, lo que significa reestructurar el trabajo, la extensión de la jornada, la remuneración, la forma de contrato y la terminación de la relación laboral. Por lo tanto, se concluye que dicha situación propicia una nueva modalidad de administrar la fuerza de trabajo, adaptándola a las exigencias de las empresas, cuyo objetivo es extraerle mayor cantidad de valor, sin importar la calidad de las condiciones de trabajo, acentuándose la explotación y precarización

El lado oscuro de las tecnologías de la información y las comunicaciones

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Andrius Plepys

2007-12-01

Full Text Available Las tecnologías de la información y las comunicaciones (TIC, tienen un profundo impacto en la economía y en el ambiente. La mejora en el desempeño de las tic lleva a un amento creciente del consumo de productos y servicios relacionados con TIC, lo cual tiene numerosas implicaciones ambientales en diferentes niveles. En este artículo, los autores resaltan la analogía entre los efectos rebote en el sector de energía y los efectos del crecimiento en TIC. De la literatura de economía energética se toman diferentes taxonomías de los efectos rebote con el fin de estructurar la discusión sobre las implicaciones ambientales del crecimiento en el uso de productos y aplicaciones de las TIC. El autor distingue dos niveles de impactos ambientales de las TIC. El primero, tiene que ver con ciclo de vida del hardware de las TIC y el segundo con la forma como se usan las aplicaciones de las TIC. Por medio de ejemplos, el artículo ilustra la complejidad de los impactos ambientales y resalta el rol decisivo del comportamiento humano en determinar su significancia. Los temas presentados son de gran relevancia para cualquier tomador de decisiones que ha puesto grandes expectativas en las TIC, y que necesita ser advertido sobre sus potenciales implicaciones ambientales en los complejos sistemas socioeconómicos de hoy. Se suelen hacer inversiones cuantiosas en este sector con la expectativa de crecimiento económico y mejoramiento ambiental, pero se ignora que el efecto rebote causa el riesgo de mala asignación de recursos. Disponer de mayor información sobre los efectos y causas de estos, permitirá a los tomadores de decisiones optimizar el desarrollo con un balance entre el crecimiento y la calidad ambiental.

ALGUNOS APORTES DEL ENFOQUE INCRUSTADO DE LAS CIENCIAS COGNITIVAS A LAS CIENCIAS DE LA EDUCACIÓN

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Maria Inês Silenzi

2012-05-01

Full Text Available Las Ciencias Cognitivas se constituyen como un espacio construido pordistintas disciplinas cuyos aportes provienen desde la neurociencias, laepistemología, la psicología, la filosofía, la antropología, y la lingüística,entre otras. Ahora bien, cada una de las disciplinas que configuran a lasCiencias Cognitivas intenta responder a la pregunta qué es la mente desdesu propio interés específico. Frente a esta misma intencionalidad, explicarla cognición, se postulan distintas respuestas, las cuales pueden ubicarse, demanera muy general, dentro del  enfoque clásico o dentro del enfoqueincrustado   de las Ciencias Cognitivas.Algunos conceptos como  enseñanza situada, aprendizaje situado,instrucción anclada, cognición situada   y cognición distribuida, entreotros, son producto de la combinación de algunos nuevos aportes teóricos,provenientes particularmente del enfoque incrustado de las CienciasCognitivas, con el ámbito educativo. Creemos necesario poner en cuestión siel análisis de estos conceptos, atendiendo a la relevancia del entorno queéstos promueven, dan cuenta, o no, del impacto teórico del enfoqueincrustado de las Ciencias Cognitivas dentro del ámbito educativo.En el presente trabajo proponemos la reflexión epistemológica sobre larelevancia del contexto en las prácticas educativas, considerando al enfoqueincrustado de las Ciencias Cognitivas como un andamiaje teórico, adecuadoy significativo para su análisis. Tal vez, a partir del renovado análisis teóricoque las Ciencias Cognitivas nos ofrecen, podemos reconsiderar nuestraspropuestas educativas en donde el aprendizaje se encuentradescontextualizado y aislado promoviendo, contrariamente, la interaccióndel alumno con su contexto inmediato.

CLARA-A1: a cloud, albedo, and radiation dataset from 28 yr of global AVHRR data

Directory of Open Access Journals (Sweden)

K.-G. Karlsson

2013-05-01

Full Text Available A new satellite-derived climate dataset – denoted CLARA-A1 ("The CM SAF cLoud, Albedo and RAdiation dataset from AVHRR data" – is described. The dataset covers the 28 yr period from 1982 until 2009 and consists of cloud, surface albedo, and radiation budget products derived from the AVHRR (Advanced Very High Resolution Radiometer sensor carried by polar-orbiting operational meteorological satellites. Its content, anticipated accuracies, limitations, and potential applications are described. The dataset is produced by the EUMETSAT Climate Monitoring Satellite Application Facility (CM SAF project. The dataset has its strengths in the long duration, its foundation upon a homogenized AVHRR radiance data record, and in some unique features, e.g. the availability of 28 yr of summer surface albedo and cloudiness parameters over the polar regions. Quality characteristics are also well investigated and particularly useful results can be found over the tropics, mid to high latitudes and over nearly all oceanic areas. Being the first CM SAF dataset of its kind, an intensive evaluation of the quality of the datasets was performed and major findings with regard to merits and shortcomings of the datasets are reported. However, the CM SAF's long-term commitment to perform two additional reprocessing events within the time frame 2013–2018 will allow proper handling of limitations as well as upgrading the dataset with new features (e.g. uncertainty estimates and extension of the temporal coverage.

SPICE: exploration and analysis of post-cytometric complex multivariate datasets.

Science.gov (United States)

Roederer, Mario; Nozzi, Joshua L; Nason, Martha C

2011-02-01

Polychromatic flow cytometry results in complex, multivariate datasets. To date, tools for the aggregate analysis of these datasets across multiple specimens grouped by different categorical variables, such as demographic information, have not been optimized. Often, the exploration of such datasets is accomplished by visualization of patterns with pie charts or bar charts, without easy access to statistical comparisons of measurements that comprise multiple components. Here we report on algorithms and a graphical interface we developed for these purposes. In particular, we discuss thresholding necessary for accurate representation of data in pie charts, the implications for display and comparison of normalized versus unnormalized data, and the effects of averaging when samples with significant background noise are present. Finally, we define a statistic for the nonparametric comparison of complex distributions to test for difference between groups of samples based on multi-component measurements. While originally developed to support the analysis of T cell functional profiles, these techniques are amenable to a broad range of datatypes. Published 2011 Wiley-Liss, Inc.

Las limitaciones al financiamiento bancario de las Pymes de alta tecnología

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M. Belén Guercio

2017-01-01

Full Text Available El objetivo de este trabajo es analizar el efecto del grado de intensidad tecnológica asociado a las Pymes en el acceso al financiamiento. Por lo tanto, se estima un modelo Logit ordenado considerando un conjunto de variables independientes como el tamaño de la empresa, la antigüedad, la capacidad exportadora y la intensidad tecnológica asociada al sector. Los resultados obtenidos muestran que la intensidad tecnológica de la empresa resulta ser la variable que más impacta en la probabilidad de financiarse en el sector bancario. Esta conclusión es relevante para Argentina, dado que, a diferencia de otros países emergentes, las empresas no cuentan con instrumentos alternativos al financiamiento bancario que se adapten a las características propias de las Pymes de alta tecnología.

ORBDA: An openEHR benchmark dataset for performance assessment of electronic health record servers.

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Douglas Teodoro

Full Text Available The openEHR specifications are designed to support implementation of flexible and interoperable Electronic Health Record (EHR systems. Despite the increasing number of solutions based on the openEHR specifications, it is difficult to find publicly available healthcare datasets in the openEHR format that can be used to test, compare and validate different data persistence mechanisms for openEHR. To foster research on openEHR servers, we present the openEHR Benchmark Dataset, ORBDA, a very large healthcare benchmark dataset encoded using the openEHR formalism. To construct ORBDA, we extracted and cleaned a de-identified dataset from the Brazilian National Healthcare System (SUS containing hospitalisation and high complexity procedures information and formalised it using a set of openEHR archetypes and templates. Then, we implemented a tool to enrich the raw relational data and convert it into the openEHR model using the openEHR Java reference model library. The ORBDA dataset is available in composition, versioned composition and EHR openEHR representations in XML and JSON formats. In total, the dataset contains more than 150 million composition records. We describe the dataset and provide means to access it. Additionally, we demonstrate the usage of ORBDA for evaluating inserting throughput and query latency performances of some NoSQL database management systems. We believe that ORBDA is a valuable asset for assessing storage models for openEHR-based information systems during the software engineering process. It may also be a suitable component in future standardised benchmarking of available openEHR storage platforms.

ORBDA: An openEHR benchmark dataset for performance assessment of electronic health record servers

Science.gov (United States)

Sundvall, Erik; João Junior, Mario; Ruch, Patrick; Miranda Freire, Sergio

2018-01-01

The openEHR specifications are designed to support implementation of flexible and interoperable Electronic Health Record (EHR) systems. Despite the increasing number of solutions based on the openEHR specifications, it is difficult to find publicly available healthcare datasets in the openEHR format that can be used to test, compare and validate different data persistence mechanisms for openEHR. To foster research on openEHR servers, we present the openEHR Benchmark Dataset, ORBDA, a very large healthcare benchmark dataset encoded using the openEHR formalism. To construct ORBDA, we extracted and cleaned a de-identified dataset from the Brazilian National Healthcare System (SUS) containing hospitalisation and high complexity procedures information and formalised it using a set of openEHR archetypes and templates. Then, we implemented a tool to enrich the raw relational data and convert it into the openEHR model using the openEHR Java reference model library. The ORBDA dataset is available in composition, versioned composition and EHR openEHR representations in XML and JSON formats. In total, the dataset contains more than 150 million composition records. We describe the dataset and provide means to access it. Additionally, we demonstrate the usage of ORBDA for evaluating inserting throughput and query latency performances of some NoSQL database management systems. We believe that ORBDA is a valuable asset for assessing storage models for openEHR-based information systems during the software engineering process. It may also be a suitable component in future standardised benchmarking of available openEHR storage platforms. PMID:29293556

ORBDA: An openEHR benchmark dataset for performance assessment of electronic health record servers.

Science.gov (United States)

Teodoro, Douglas; Sundvall, Erik; João Junior, Mario; Ruch, Patrick; Miranda Freire, Sergio

2018-01-01

The openEHR specifications are designed to support implementation of flexible and interoperable Electronic Health Record (EHR) systems. Despite the increasing number of solutions based on the openEHR specifications, it is difficult to find publicly available healthcare datasets in the openEHR format that can be used to test, compare and validate different data persistence mechanisms for openEHR. To foster research on openEHR servers, we present the openEHR Benchmark Dataset, ORBDA, a very large healthcare benchmark dataset encoded using the openEHR formalism. To construct ORBDA, we extracted and cleaned a de-identified dataset from the Brazilian National Healthcare System (SUS) containing hospitalisation and high complexity procedures information and formalised it using a set of openEHR archetypes and templates. Then, we implemented a tool to enrich the raw relational data and convert it into the openEHR model using the openEHR Java reference model library. The ORBDA dataset is available in composition, versioned composition and EHR openEHR representations in XML and JSON formats. In total, the dataset contains more than 150 million composition records. We describe the dataset and provide means to access it. Additionally, we demonstrate the usage of ORBDA for evaluating inserting throughput and query latency performances of some NoSQL database management systems. We believe that ORBDA is a valuable asset for assessing storage models for openEHR-based information systems during the software engineering process. It may also be a suitable component in future standardised benchmarking of available openEHR storage platforms.

Las preferencias de los consumidores españoles hacia las cocinas étnicas

OpenAIRE

Camarena Gómez, Dena María; Sanjuán López, Ana Isabel

2012-01-01

Las cocinas étnicas forman parte de las nuevas tendencias en el consumo de la población española. Su introducción, aunque reciente, ha logrado hacerse un espacio en los canales de distribución minorista y consolidarse en el gusto de los consumidores. Con el fin de analizar las preferencias manifestadas por los consumidores españoles hacia distintas cocinas étnicas y situaciones de consumo, se ha realizado un experimento de elección y estimado un modelo logit mixto. A partir de est...

metodológicas en los estudios de las familias y las movilidades

Directory of Open Access Journals (Sweden)

Germán Guerra

2013-01-01

Full Text Available El 11 de junio de 2010 en El Colegio de México se llevó a cabo el taller de reflexión Enfoques teóricos y perspectivas metodológicas en los estudios de las familias y las movilidades. Este taller, impulsado por el esfuerzo intelectual de varios investiga- dores e investigadoras adscritos a diversas instituciones académicas, tuvo como interés primordial la reflexión en torno a la migración –interna, internacional, urbana y rural–, la movilidad intraurbana y los arreglos familiares –composición, relaciones intergene- racionales, cambios de roles, redes de apoyo, arreglos para el cuidado de niños y ancianos, y relaciones de género. En este documento se sintetizan las ponencias de los estudiosos e investigadores que colaboraron en el taller, y se resumen las discusiones que suscitaron dichas presentaciones entre los participantes del encuentro. Además de concentrar estas reflexiones teóricas, críticas y metodológicas, y mostrarlas al público interesado, esta relatoría tiene la finali- dad de plantear la necesidad de constituir un grupo de reflexión teórico-metodológica que se encargue de profundizar en las relaciones entre familias y migración como campos de estudio interrelacionados.

Perlas y piel de azabache. El negro en las pesquerías de las Indias Occidentales

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Tardieu, Jean Pierre

2008-12-01

Full Text Available Not very long after the Discovery, the pearls from the West Indies competed with those from the Orient for the full regalia of the ladies of the gentry, or that of the most revered virgins, while raising the curiosity of the best known chroniclers and creating an excruciating tax system. Considering the legislation passed for the benefit of Indians, those were to a large extent replaced in the “pearl fisheries” by black slaves submitted by the covetousness of their masters and the interests of the Crown to horrendous living and working conditions which most of the time relentlessly led them to death.

Poco después del Descubrimiento, las perlas de las Indias occidentales rivalizaron con las de Oriente para el adorno de las damas de la alta sociedad o de las Vírgenes más veneradas, suscitando la curiosidad científica de los cronistas más conocidos y una exigente legislación fiscal. Debido a las leyes emitidas a favor de los indios, éstos se sustituyeron en gran parte, en las pesquerías de perlas, por esclavos negros sometidos —por la codicia de los amos y el interés de la Corona— a despiadadas condiciones de vida y de trabajo que desembocaban las más veces en una muerte inexorable.

Dataset for Probabilistic estimation of residential air exchange rates for population-based exposure modeling

Data.gov (United States)

U.S. Environmental Protection Agency — This dataset provides the city-specific air exchange rate measurements, modeled, literature-based as well as housing characteristics. This dataset is associated with...

Anonymising the Sparse Dataset: A New Privacy Preservation Approach while Predicting Diseases

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V. Shyamala Susan

2016-09-01

Full Text Available Data mining techniques analyze the medical dataset with the intention of enhancing patient’s health and privacy. Most of the existing techniques are properly suited for low dimensional medical dataset. The proposed methodology designs a model for the representation of sparse high dimensional medical dataset with the attitude of protecting the patient’s privacy from an adversary and additionally to predict the disease’s threat degree. In a sparse data set many non-zero values are randomly spread in the entire data space. Hence, the challenge is to cluster the correlated patient’s record to predict the risk degree of the disease earlier than they occur in patients and to keep privacy. The first phase converts the sparse dataset right into a band matrix through the Genetic algorithm along with Cuckoo Search (GCS.This groups the correlated patient’s record together and arranges them close to the diagonal. The next segment dissociates the patient’s disease, which is a sensitive value (SA with the parameters that determine the disease normally Quasi Identifier (QI.Finally, density based clustering technique is used over the underlying data to  create anonymized groups to maintain privacy and to predict the risk level of disease. Empirical assessments on actual health care data corresponding to V.A.Medical Centre heart disease dataset reveal the efficiency of this model pertaining to information loss, utility and privacy.

CoVennTree: A new method for the comparative analysis of large datasets

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Steffen C. Lott

2015-02-01

Full Text Available The visualization of massive datasets, such as those resulting from comparative metatranscriptome analyses or the analysis of microbial population structures using ribosomal RNA sequences, is a challenging task. We developed a new method called CoVennTree (Comparative weighted Venn Tree that simultaneously compares up to three multifarious datasets by aggregating and propagating information from the bottom to the top level and produces a graphical output in Cytoscape. With the introduction of weighted Venn structures, the contents and relationships of various datasets can be correlated and simultaneously aggregated without losing information. We demonstrate the suitability of this approach using a dataset of 16S rDNA sequences obtained from microbial populations at three different depths of the Gulf of Aqaba in the Red Sea. CoVennTree has been integrated into the Galaxy ToolShed and can be directly downloaded and integrated into the user instance.

Dataset of Passerine bird communities in a Mediterranean high mountain (Sierra Nevada, Spain).

Science.gov (United States)

Pérez-Luque, Antonio Jesús; Barea-Azcón, José Miguel; Álvarez-Ruiz, Lola; Bonet-García, Francisco Javier; Zamora, Regino

2016-01-01

In this data paper, a dataset of passerine bird communities is described in Sierra Nevada, a Mediterranean high mountain located in southern Spain. The dataset includes occurrence data from bird surveys conducted in four representative ecosystem types of Sierra Nevada from 2008 to 2015. For each visit, bird species numbers as well as distance to the transect line were recorded. A total of 27847 occurrence records were compiled with accompanying measurements on distance to the transect and animal counts. All records are of species in the order Passeriformes. Records of 16 different families and 44 genera were collected. Some of the taxa in the dataset are included in the European Red List. This dataset belongs to the Sierra Nevada Global-Change Observatory (OBSNEV), a long-term research project designed to compile socio-ecological information on the major ecosystem types in order to identify the impacts of global change in this area.

Vector Nonlinear Time-Series Analysis of Gamma-Ray Burst Datasets on Heterogeneous Clusters

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Ioana Banicescu

2005-01-01

Full Text Available The simultaneous analysis of a number of related datasets using a single statistical model is an important problem in statistical computing. A parameterized statistical model is to be fitted on multiple datasets and tested for goodness of fit within a fixed analytical framework. Definitive conclusions are hopefully achieved by analyzing the datasets together. This paper proposes a strategy for the efficient execution of this type of analysis on heterogeneous clusters. Based on partitioning processors into groups for efficient communications and a dynamic loop scheduling approach for load balancing, the strategy addresses the variability of the computational loads of the datasets, as well as the unpredictable irregularities of the cluster environment. Results from preliminary tests of using this strategy to fit gamma-ray burst time profiles with vector functional coefficient autoregressive models on 64 processors of a general purpose Linux cluster demonstrate the effectiveness of the strategy.

Scientific Datasets: Discovery and Aggregation for Semantic Interpretation.

Science.gov (United States)

Lopez, L. A.; Scott, S.; Khalsa, S. J. S.; Duerr, R.

2015-12-01

One of the biggest challenges that interdisciplinary researchers face is finding suitable datasets in order to advance their science; this problem remains consistent across multiple disciplines. A surprising number of scientists, when asked what tool they use for data discovery, reply "Google", which is an acceptable solution in some cases but not even Google can find -or cares to compile- all the data that's relevant for science and particularly geo sciences. If a dataset is not discoverable through a well known search provider it will remain dark data to the scientific world.For the past year, BCube, an EarthCube Building Block project, has been developing, testing and deploying a technology stack capable of data discovery at web-scale using the ultimate dataset: The Internet. This stack has 2 principal components, a web-scale crawling infrastructure and a semantic aggregator. The web-crawler is a modified version of Apache Nutch (the originator of Hadoop and other big data technologies) that has been improved and tailored for data and data service discovery. The second component is semantic aggregation, carried out by a python-based workflow that extracts valuable metadata and stores it in the form of triples through the use semantic technologies.While implementing the BCube stack we have run into several challenges such as a) scaling the project to cover big portions of the Internet at a reasonable cost, b) making sense of very diverse and non-homogeneous data, and lastly, c) extracting facts about these datasets using semantic technologies in order to make them usable for the geosciences community. Despite all these challenges we have proven that we can discover and characterize data that otherwise would have remained in the dark corners of the Internet. Having all this data indexed and 'triplelized' will enable scientists to access a trove of information relevant to their work in a more natural way. An important characteristic of the BCube stack is that all

Estudio de las necesidades de información en las PYMES de Tundama y Sugamuxi

Directory of Open Access Journals (Sweden)

Miryam Teresa Rodríguez Díaz

2016-07-01

Full Text Available La información ocupa un sitial muy importante en el mundo moderno debido a los flujos que constantemente genera, a la amplia capacidad de los motores de búsqueda y de las bases de datos, y a las diversas formas que ofrecen las Tecnologías de la Información y la Comunicación (TIC. Estos mecanismos permiten almacenar, proteger, gestionar, transferir, utilizar y transformar la información en conocimiento útil que puede ser utilizado con diversos fines, dentro de los cuales se encuentran los empresariales. El presente artículo tiene como objeto determinar las diversas necesidades de información en las pymes de los valles de Sugamuxi y Tundama en el Departamento de Boyacá. Para lograrlo, se encuestaron 266 gerentes de estas empresas (173 de Sugamuxi y 93 de Tundama, se utilizó un tipo y método de estudio descriptivo-explicativo, se implementó una técnica estadística de análisis descriptivo, y se aplicó una encuesta estructurada como instrumento de recolección de datos. Dentro de los resultados, se identificó que las principales necesidades de información de las pymes son:estudios de mercados, conocimientos de manuales, normas, procedimientos y operación de equipos.

Evaluation of Uncertainty in Precipitation Datasets for New Mexico, USA

Science.gov (United States)

Besha, A. A.; Steele, C. M.; Fernald, A.

2014-12-01

Climate change, population growth and other factors are endangering water availability and sustainability in semiarid/arid areas particularly in the southwestern United States. Wide coverage of spatial and temporal measurements of precipitation are key for regional water budget analysis and hydrological operations which themselves are valuable tool for water resource planning and management. Rain gauge measurements are usually reliable and accurate at a point. They measure rainfall continuously, but spatial sampling is limited. Ground based radar and satellite remotely sensed precipitation have wide spatial and temporal coverage. However, these measurements are indirect and subject to errors because of equipment, meteorological variability, the heterogeneity of the land surface itself and lack of regular recording. This study seeks to understand precipitation uncertainty and in doing so, lessen uncertainty propagation into hydrological applications and operations. We reviewed, compared and evaluated the TRMM (Tropical Rainfall Measuring Mission) precipitation products, NOAA's (National Oceanic and Atmospheric Administration) Global Precipitation Climatology Centre (GPCC) monthly precipitation dataset, PRISM (Parameter elevation Regression on Independent Slopes Model) data and data from individual climate stations including Cooperative Observer Program (COOP), Remote Automated Weather Stations (RAWS), Soil Climate Analysis Network (SCAN) and Snowpack Telemetry (SNOTEL) stations. Though not yet finalized, this study finds that the uncertainty within precipitation estimates datasets is influenced by regional topography, season, climate and precipitation rate. Ongoing work aims to further evaluate precipitation datasets based on the relative influence of these phenomena so that we can identify the optimum datasets for input to statewide water budget analysis.

Soil chemistry in lithologically diverse datasets: the quartz dilution effect

Science.gov (United States)

Bern, Carleton R.

2009-01-01

National- and continental-scale soil geochemical datasets are likely to move our understanding of broad soil geochemistry patterns forward significantly. Patterns of chemistry and mineralogy delineated from these datasets are strongly influenced by the composition of the soil parent material, which itself is largely a function of lithology and particle size sorting. Such controls present a challenge by obscuring subtler patterns arising from subsequent pedogenic processes. Here the effect of quartz concentration is examined in moist-climate soils from a pilot dataset of the North American Soil Geochemical Landscapes Project. Due to variable and high quartz contents (6.2–81.7 wt.%), and its residual and inert nature in soil, quartz is demonstrated to influence broad patterns in soil chemistry. A dilution effect is observed whereby concentrations of various elements are significantly and strongly negatively correlated with quartz. Quartz content drives artificial positive correlations between concentrations of some elements and obscures negative correlations between others. Unadjusted soil data show the highly mobile base cations Ca, Mg, and Na to be often strongly positively correlated with intermediately mobile Al or Fe, and generally uncorrelated with the relatively immobile high-field-strength elements (HFS) Ti and Nb. Both patterns are contrary to broad expectations for soils being weathered and leached. After transforming bulk soil chemistry to a quartz-free basis, the base cations are generally uncorrelated with Al and Fe, and negative correlations generally emerge with the HFS elements. Quartz-free element data may be a useful tool for elucidating patterns of weathering or parent-material chemistry in large soil datasets.

Validity and reliability of stillbirth data using linked self-reported and administrative datasets.

Science.gov (United States)

Hure, Alexis J; Chojenta, Catherine L; Powers, Jennifer R; Byles, Julie E; Loxton, Deborah

2015-01-01

A high rate of stillbirth was previously observed in the Australian Longitudinal Study of Women's Health (ALSWH). Our primary objective was to test the validity and reliability of self-reported stillbirth data linked to state-based administrative datasets. Self-reported data, collected as part of the ALSWH cohort born in 1973-1978, were linked to three administrative datasets for women in New South Wales, Australia (n = 4374): the Midwives Data Collection; Admitted Patient Data Collection; and Perinatal Death Review Database. Linkages were obtained from the Centre for Health Record Linkage for the period 1996-2009. True cases of stillbirth were defined by being consistently recorded in two or more independent data sources. Sensitivity, specificity, positive predictive value, negative predictive value, percent agreement, and kappa statistics were calculated for each dataset. Forty-nine women reported 53 stillbirths. No dataset was 100% accurate. The administrative datasets performed better than self-reported data, with high accuracy and agreement. Self-reported data showed high sensitivity (100%) but low specificity (30%), meaning women who had a stillbirth always reported it, but there was also over-reporting of stillbirths. About half of the misreported cases in the ALSWH were able to be removed by identifying inconsistencies in longitudinal data. Data linkage provides great opportunity to assess the validity and reliability of self-reported study data. Conversely, self-reported study data can help to resolve inconsistencies in administrative datasets. Quantifying the strengths and limitations of both self-reported and administrative data can improve epidemiological research, especially by guiding methods and interpretation of findings.

Introducing a Web API for Dataset Submission into a NASA Earth Science Data Center

Science.gov (United States)

Moroni, D. F.; Quach, N.; Francis-Curley, W.

2016-12-01

As the landscape of data becomes increasingly more diverse in the domain of Earth Science, the challenges of managing and preserving data become more onerous and complex, particularly for data centers on fixed budgets and limited staff. Many solutions already exist to ease the cost burden for the downstream component of the data lifecycle, yet most archive centers are still racing to keep up with the influx of new data that still needs to find a quasi-permanent resting place. For instance, having well-defined metadata that is consistent across the entire data landscape provides for well-managed and preserved datasets throughout the latter end of the data lifecycle. Translators between different metadata dialects are already in operational use, and facilitate keeping older datasets relevant in today's world of rapidly evolving metadata standards. However, very little is done to address the first phase of the lifecycle, which deals with the entry of both data and the corresponding metadata into a system that is traditionally opaque and closed off to external data producers, thus resulting in a significant bottleneck to the dataset submission process. The ATRAC system was the NOAA NCEI's answer to this previously obfuscated barrier to scientists wishing to find a home for their climate data records, providing a web-based entry point to submit timely and accurate metadata and information about a very specific dataset. A couple of NASA's Distributed Active Archive Centers (DAACs) have implemented their own versions of a web-based dataset and metadata submission form including the ASDC and the ORNL DAAC. The Physical Oceanography DAAC is the most recent in the list of NASA-operated DAACs who have begun to offer their own web-based dataset and metadata submission services to data producers. What makes the PO.DAAC dataset and metadata submission service stand out from these pre-existing services is the option of utilizing both a web browser GUI and a RESTful API to

Historia de las series

OpenAIRE

Cascajosa Virino, Concepción

2017-01-01

Reseña: Historia de las series de Toni de la Torre: la gran impostura Durante mucho tiempo los profesores de cine en España se han quejado (amargamente y en privado) de la recurrencia en la bibliografía de los trabajos de sus estudiantes de los libros de un autor conocido por la escasa calidad de sus textos, cuyos vistosos títulos garantizan que acaben en las estanterías de las bibliotecas universitarias. Es muy propio de la cultura española hacer duras aseveraciones en foros irrelevantes y, ...

Internet de las cosas

OpenAIRE

Salazar Soler, Jorge; Silvestre Bergés, Santiago

2016-01-01

Este es un curso de introducción a la IoT (Internet de las cosas). En los capítulos primeros capítulos se introducen los conceptos básicos sobre la IoT. Seguidamente se presentan nociones básicas sobre el protocolo de internet IPv6 que es el más utilizado en el entorno de la IoT y se describen las principales aplicaciones, el estado actual del mercado y las tecnologías que permiten la existencia de la IoT. Finalmente se analizan los retos de futuro que se consideran más importa...

Las marcas y sus estrategias de inclusión de género en las redes sociales

OpenAIRE

Gordo López, Ángel Juan; Finkel Morgenstern, Federico; Isidoro Calle, Olivia; Fraca, Gabriel

2014-01-01

En los países industriales el 80% del consumo total es realizado por mujeres, si bien esta cifra contrasta con la escasa identificación que éstas tienen con las marcas. Este fenómeno no es ajeno a las redes sociales. El presente trabajo se basa en una investigación sobre el nivel de inclusión de género de grandes marcas comerciales en las principales redes sociales en el contexto español. Partimos de la constatación de que las mujeres en su mayoría siguen las marcas en lugar de identificarse ...

Traffic sign classification with dataset augmentation and convolutional neural network

Science.gov (United States)

Tang, Qing; Kurnianggoro, Laksono; Jo, Kang-Hyun

2018-04-01

This paper presents a method for traffic sign classification using a convolutional neural network (CNN). In this method, firstly we transfer a color image into grayscale, and then normalize it in the range (-1,1) as the preprocessing step. To increase robustness of classification model, we apply a dataset augmentation algorithm and create new images to train the model. To avoid overfitting, we utilize a dropout module before the last fully connection layer. To assess the performance of the proposed method, the German traffic sign recognition benchmark (GTSRB) dataset is utilized. Experimental results show that the method is effective in classifying traffic signs.

MicroRNA Array Normalization: An Evaluation Using a Randomized Dataset as the Benchmark

Science.gov (United States)

Qin, Li-Xuan; Zhou, Qin

2014-01-01

MicroRNA arrays possess a number of unique data features that challenge the assumption key to many normalization methods. We assessed the performance of existing normalization methods using two microRNA array datasets derived from the same set of tumor samples: one dataset was generated using a blocked randomization design when assigning arrays to samples and hence was free of confounding array effects; the second dataset was generated without blocking or randomization and exhibited array effects. The randomized dataset was assessed for differential expression between two tumor groups and treated as the benchmark. The non-randomized dataset was assessed for differential expression after normalization and compared against the benchmark. Normalization improved the true positive rate significantly in the non-randomized data but still possessed a false discovery rate as high as 50%. Adding a batch adjustment step before normalization further reduced the number of false positive markers while maintaining a similar number of true positive markers, which resulted in a false discovery rate of 32% to 48%, depending on the specific normalization method. We concluded the paper with some insights on possible causes of false discoveries to shed light on how to improve normalization for microRNA arrays. PMID:24905456

Las ciencias sociales y las políticas públicas en el fortalecimiento del arte de gobernar

Directory of Open Access Journals (Sweden)

Ricardo Uvalle-Berrones

2011-01-01

Full Text Available El objetivo del artículo consiste en analizar y explicar la importancia del arte de gobernar con base en dos enfoques fundamentales para la vida comunitaria como son las ciencias sociales y las políticas públicas, las cuales aportan elementos teóricos, metodológico y heurísticos relacionados con las capacidades de dirección y de implementación que se deben producir y desarrollar para asegurar en el ámbito de complejidades crecientes las condiciones que permiten el desarrollo de la sociedades, abiertas al desempeño de la economía de mercado, la calidad de la vida democrática, la conservación del Estado de derecho, así como la vigencia de las libertades civiles y políticas.

El lavado y cuidado de las manos

OpenAIRE

Troconis Ganimez, J.E.

2003-01-01

Resumen En el presente trabajo hacemos notar la importancia del lavado y cuidado de las manos en el personal del equipo de salud odontológico, aquí incluimos las técnicas correctas del lavado de las manos, la importancia del jabón y los antisépticos que han sido incluidos en los mismos, la técnica como deben ser secadas las manos una vez lavadas, por último hacemos algunas consideraciones en el cuidado general de las manos, mantenimiento de las uñas y el uso de cremas hidratantes.

Del rojo al azul : las pantallas de las dos Españas

Directory of Open Access Journals (Sweden)

Josefina Martínez

2009-01-01

Full Text Available Durante la guerra civil española (1936- 1939 el cine se convirtió en una de las armas principales de la retaguardia. En la zona republicana se optó por la colectivización o la incautación de las salas de exhibición y de las empresas cinematográficas para convertirlas en el elemento clave de la propaganda plural del gobierno, partidos y sindicatos, así como en una fuente de ingresos. Las más de 400 obras producidas pretendían educar y elevar la moral de los españoles a la vez que solicitar al resto del mundo una ayuda que nunca llegó. Entre tanto, en la zona rebelde, con poco más de la cuarta parte de la producción, se creaba un aparato cinematográfico único, bajo las claras consignas censoras de la Falange que, tras el triunfo franquista, dirigirá las líneas de la producción cinematográfica nacional.Along the Spanish civil war (1936-1939 the cinema became one of the main weapons in the rear. The republican area the theatres and the cinema companies were either collectivized or withheld to turn them into a key element in the government propaganda, political parties and syndicates, as well as an incoming font. The more-than four hundred of titles produced tried to educate and raise the moral of the Spanish while using the films to pledge for the never coming external help. Meanwhile in the rebel area was produced only a quarter of the pieces, but there was created an unique cinematographic machine highly controlled and censored by the Spanish Falangist party which, after the triumph of Franco, would mark the lines of the national cinematographic production.

de la historia de las ciencias

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José Antonio Acevedo-Díaz

2004-01-01

Full Text Available La metodología científica incluye aspectos como la capacidad de invención de hipótesis y modelos, la creatividad y el uso del razonamiento analógico, entre otros muchos más. El presente artículo se ocupa del papel de las analogías en el pensamiento creativo de los científicos, aplicado a un caso paradigmático de la historia de las ciencias del siglo XIX, como fue el desarrollo de la teoría del campo electromagnético de Maxwell, que daría lugar a una de las grandes síntesis de la física clásica: la de los fenómenos ópticos, eléctricos y magnéticos. Ilustrado con las palabras del principal protagonista, las de otros físicos de la época y las de historiadores de las ciencias que se han ocupado de este tema, el artículo muestra el exhaustivo uso que Maxwell hizo de las analogías y el razonamiento analógico en su intento de conseguir sus más importantes propósitos científicos

Empresas familiares frente a las crisis

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María Guadalupe Serna

2012-01-01

Full Text Available En este artículo llevo a cabo una reflexión sobre los efectos de las crisis de 1984-1985 y 1994-1995 en un pequeño grupo de empresas familiares localizadas en la ciudad de Aguascalientes. Exploro el tipo de recursos tangibles e intangibles con los que contaban sus propietarios durante esos periodos, los apoyos que tenían a su disposición, así como las distintas formas en que respondieron y se adaptaron a las condiciones económicas prevalecientes. Analizo las distintas acciones adoptadas por los propietarios para hacer frente a las condiciones económicas prevalecientes, así como la forma en que algunas veces la crisis en puerta impulsó o bien obstaculizó el proyecto empresarial. Para ello empleo el concepto de capital social que resulta de gran utilidad para explicar las diversas condiciones en que surgen y se desarrollan las pequeñas empresas familiares, así como sus distintas posibilidades de éxito en condiciones de crisis.

A global gridded dataset of daily precipitation going back to 1950, ideal for analysing precipitation extremes

Science.gov (United States)

Contractor, S.; Donat, M.; Alexander, L. V.

2017-12-01

Reliable observations of precipitation are necessary to determine past changes in precipitation and validate models, allowing for reliable future projections. Existing gauge based gridded datasets of daily precipitation and satellite based observations contain artefacts and have a short length of record, making them unsuitable to analyse precipitation extremes. The largest limiting factor for the gauge based datasets is a dense and reliable station network. Currently, there are two major data archives of global in situ daily rainfall data, first is Global Historical Station Network (GHCN-Daily) hosted by National Oceanic and Atmospheric Administration (NOAA) and the other by Global Precipitation Climatology Centre (GPCC) part of the Deutsche Wetterdienst (DWD). We combine the two data archives and use automated quality control techniques to create a reliable long term network of raw station data, which we then interpolate using block kriging to create a global gridded dataset of daily precipitation going back to 1950. We compare our interpolated dataset with existing global gridded data of daily precipitation: NOAA Climate Prediction Centre (CPC) Global V1.0 and GPCC Full Data Daily Version 1.0, as well as various regional datasets. We find that our raw station density is much higher than other datasets. To avoid artefacts due to station network variability, we provide multiple versions of our dataset based on various completeness criteria, as well as provide the standard deviation, kriging error and number of stations for each grid cell and timestep to encourage responsible use of our dataset. Despite our efforts to increase the raw data density, the in situ station network remains sparse in India after the 1960s and in Africa throughout the timespan of the dataset. Our dataset would allow for more reliable global analyses of rainfall including its extremes and pave the way for better global precipitation observations with lower and more transparent uncertainties.

Global Man-made Impervious Surface (GMIS) Dataset From Landsat

Data.gov (United States)

National Aeronautics and Space Administration — The Global Man-made Impervious Surface (GMIS) Dataset From Landsat consists of global estimates of fractional impervious cover derived from the Global Land Survey...

Las Farmacodependencias

Directory of Open Access Journals (Sweden)

José Francisco Socarrás

1994-09-01

Full Text Available

Ahora, cuando la Corte Constitucional ha despenalizado al farmacodependiente por el consumo de drogas, conviene informar sobre las consecuencias perjudiciales de estas. A quienes deseen un conocimiento detallado al respecto, les recomiendo documentarse en “Enciclopedia de Psiquiatría”, publicada por “El Ateneo” en Buenos Aires.

El Capítulo respectivo es del doctor Daniel L. Murguia. El denominador corriente de su abuso es sencillamente la dependencia, nombre propuesto por la Organización Mundial de la Salud, definido como el “estado psíquico y a veces físico causado por la interacción entre un organismo vivo y un fármaco”. Su carácter esencial es el impulso psicofísico a consumir el producto en forma continua o periódica, con el fin de experimentar los efectos que acarrea y evitar los malestares de su privación. Todas las drogas del respectivo género, consumidas a dosis altas, tienen efectos psicotóxicos que alteran la conducta y en algunos casos conducen a la muerte.

Los expertos de la Organización Mundial califican las mencionadas sustancias en seis grupos, a saber:

1. Morfina y opiáceas, los cuales crean dependencia física y psicológica, con tolerancia precoz, necesidad de aumentar las dosis y síndrome de abstinencia bastante peligroso. Entre los derivados se cuentan los siguientes: Hidromorfina (Dilaudid; oximorfina (Nurmophan; heroína,
éter diacético de la morfina (Diacetilmorfina; codeína (Metilmorfina; hidrocodeína (Hicadan’ oxicodeína (Perdocan. Los efectos de los opiáceo~ son los siguientes: analgesia, depresión respiratoria y espasmo gastrointestinal. Las dosis tóxicas pueden provocar convulsiones.

2. Barbitúricos, alcohol y sedantes como el fenobarbital, que provocan así mismo dependencia física.

3. Anfetaminas, en particular la Bencedrina inhalante, que acarrea dependencia psicológica.

4. Cocaína, cuya dependencia psíquica es tal que muchos

Las elecciones autonómicas de 1999 y las Españas electorales

Directory of Open Access Journals (Sweden)

FRANCISCO A. OCAÑA

2000-01-01

Full Text Available En las siguientes páginas se estudian las principales características de los sistemas y subsistemas de partidos surgidos de la última convocatoria electoral de carácter autonómico. Se analizan los datos que en cada Comunidad Autónoma alcanzan la fragmentación, el número de partidos, la concentración, la competitividad, la polarización y la volatilidad, y se comparan con los valores que estas dimensiones alcanzan en otras Comunidades Autónomas, así como con los registrados en anteriores convocatorias. En la conclusión se señalan los distintos sistemas y subsistemas, modelo general y excéntricos, que pueden distinguirse en atención a las respectivas características de las pautas de la competición partidista y electoral en estas plurales arenas electorales.

Las webs de las comunidades autónomas: Imagen corporativa y servicios

Directory of Open Access Journals (Sweden)

Fernando Sabés Turmo

2012-04-01

Full Text Available Este artículo ofrece un análisis de los portales web institucionales de las Comunidades Autónomas españolas, unas páginas en las que la comunicación corporativa se une a la necesidad de prestar servicios a los ciudadanos. Además, no hay que olvidar que la aprobación de la Ley 11/2007, de 22 de junio, de acceso electrónico de los ciudadanos a los Servicios Públicos, supone una auténtica revolución en cuanto a la oferta de servicios desde estos portales. Estas páginas se convierten en la puerta de entrada de los ciudadanos a las Instituciones y suponen un elemento vital en la imagen que desde ellas se quiere proyectar. De todos modos, estamos ya en una fase mucho más avanzada, en la que la imagen corporativa ha de ir de la mano con los servicios de e-Administración que se deben ir implementando en todas las Instituciones públicas.

El diagnóstico por la imagen de las enfermedades de las glándulas salivales

OpenAIRE

Paz Expósito, Francisco

2002-01-01

Las lesiones de las glándulas salivales son relativamente frecuentes, presentando una patología tan diversa como la de cualquier otro sistema orgánico. La mayoría de las lesiones son inflamatorias, otras son de origen litiásico, algunas tienen una patogenia incierta que pueden confundirse con neoplasias malignas y, por último, hay un amplio espectro de neoplasias tanto benignas como malignas. La mayoría de los agrandamientos de las glándulas salivales están causados por procesos inflamator...

Medidas Explícitas e Implícitas de las Actitudes Hacia las Mujeres

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Manuel Cárdenas

2009-01-01

Full Text Available El presente estudio tiene como objeto utilizar el IAT (Implicit Association Test para medir actitudes hacia las mujeres, de modo de comparar dichas evaluaciones de carácter automático con las obtenidas por medio de una medida explícita. Además, los participantes respondieron a un inventario de roles sexuales de modo de ver si los sujetos manejaban el estereotipo dominante asociado a lo femenino y sus efectos sobre el prejuicio. La muestra quedó conformada por 80 estudiantes universitarios. No se detectaron diferencias significativas entre hombres y mujeres en los estereotipos asociados a la mujer, ni en la evaluación que se hace de estas (medida explícita. En la medida de IAT las diferencias entre sexos aparecen, indicando que los hombres muestran una actitud implícita más negativa hacia las mujeres. De este modo se confirma que la aparente disminución del prejuicio que puede constatarse en los cuestionarios podría encubrir el hecho de que las actitudes negativas se mantienen a nivel implícito.

Bases moleculares de las leucemias agudas

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G. Martínez Antuña

2006-04-01

Full Text Available El gran desarrollo de la biología molecular en los últimos años ha contribuido a un importante avance en los conocimientos relacionados con las bases moleculares de las leucemias agudas (LA. Ademas de profundizar en la biología de estas enfermedades y conocer las bases moleculares, ha renido también gran impacto en mejorar el resultado de los tratamientos y disminuir la toxicidad de las terapias.

Las Plantas Cultivadas y Sus Plagas.

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Universidad Nacional de Colombia Facultad de Ciencias Agropecuarias

1942-12-01

Full Text Available El artículo contiene en orden alfabético las plantas cultivadas con las diferentes plagas por las cuales se ven afectadas y para las que se han venido buscando mecanismos de control y erradicación. Algunas de estas plantas son: Aguacate, Acacia, Almendro, Algodón, Banana, Cacahuate, Cacao, Cafeto, Caña de azúcar, Caoba, Carambola, Cedro, Granadilla, Limón, Maíz, Tabaco, entre otras.

Dataset: Multi Sensor-Orientation Movement Data of Goats

NARCIS (Netherlands)

Kamminga, Jacob Wilhelm

2018-01-01

This is a labeled dataset. Motion data were collected from six sensor nodes that were fixed with different orientations to a collar around the neck of goats. These six sensor nodes simultaneously, with different orientations, recorded various activities performed by the goat. We recorded the

Las canciones mueven tus inteligencias

Directory of Open Access Journals (Sweden)

Dayane Mónica Cordeiro

2014-09-01

Full Text Available La canción es uno de los recursos más estimulantes y provechosos para enseñar lengua española, pues responde a los objetivos lingüísticos y comunicativos que ideamos fomentar en al aula de E/LE. Llevar las aportaciones de la teoría de las inteligencias múltiples al campo de la didáctica de la enseñanza de lenguas extranjeras ha sido el objetivo de esta experiencia práctica. La unidad didáctica Primavera Trompetera parte de la premisa de que fomentar la diversidad cognitiva propuesta en laTeoría de las Inteligencias Múltiples del psicólogo Howard Gardner, utilizando comorecurso didáctico la canción Primavera Trompetera del grupo «Los Delinquentes», puede facilitar el proceso de enseñanza/aprendizaje de lengua española, trabajando las destrezas integradas a las inteligencias múltiples.

ProDaMa: an open source Python library to generate protein structure datasets.

Science.gov (United States)

Armano, Giuliano; Manconi, Andrea

2009-10-02

The huge difference between the number of known sequences and known tertiary structures has justified the use of automated methods for protein analysis. Although a general methodology to solve these problems has not been yet devised, researchers are engaged in developing more accurate techniques and algorithms whose training plays a relevant role in determining their performance. From this perspective, particular importance is given to the training data used in experiments, and researchers are often engaged in the generation of specialized datasets that meet their requirements. To facilitate the task of generating specialized datasets we devised and implemented ProDaMa, an open source Python library than provides classes for retrieving, organizing, updating, analyzing, and filtering protein data. ProDaMa has been used to generate specialized datasets useful for secondary structure prediction and to develop a collaborative web application aimed at generating and sharing protein structure datasets. The library, the related database, and the documentation are freely available at the URL http://iasc.diee.unica.it/prodama.

Dataset of Passerine bird communities in a Mediterranean high mountain (Sierra Nevada, Spain)

Science.gov (United States)

Pérez-Luque, Antonio Jesús; Barea-Azcón, José Miguel; Álvarez-Ruiz, Lola; Bonet-García, Francisco Javier; Zamora, Regino

2016-01-01

Abstract In this data paper, a dataset of passerine bird communities is described in Sierra Nevada, a Mediterranean high mountain located in southern Spain. The dataset includes occurrence data from bird surveys conducted in four representative ecosystem types of Sierra Nevada from 2008 to 2015. For each visit, bird species numbers as well as distance to the transect line were recorded. A total of 27847 occurrence records were compiled with accompanying measurements on distance to the transect and animal counts. All records are of species in the order Passeriformes. Records of 16 different families and 44 genera were collected. Some of the taxa in the dataset are included in the European Red List. This dataset belongs to the Sierra Nevada Global-Change Observatory (OBSNEV), a long-term research project designed to compile socio-ecological information on the major ecosystem types in order to identify the impacts of global change in this area. PMID:26865820

Ambiente psicologico en las organizaciones

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Damarcy Cortés Baracaldo

2002-01-01

Full Text Available El talento humano en las organizaciones se ha convertido en las ultimas decadas en un recurso que se administra de acuerdo al estilo de liderazgo del jefe, lo que implica una marcada relación hacia la tarea, hacia las relaciones con el personal o una combinación de estas dos, que desencadenan en un ambiente psicológico exclusive en cada organización.

El Facebook en las cátedras, las cátedras en Facebook

OpenAIRE

Lesta, María Laura; Torres, Celeste

2015-01-01

Como parte de una “promesa progresista” las tecnologías digitales irrumpieron en la escena educativa transformando paradigmas, políticas y prácticas pedagógicas. El argumento que orienta esta tendencia es que las posibilidades de acceso a la información conducen a la generación de nuevas formas de interacción que independizan las prácticas educativas de los contextos espaciales y temporales, y que éstas, a su vez, favorecen la autogestión, la integración de la tecnología, la colaboración, la ...

Las células madre mesenquimales desde la perspectiva de las ciencias veterinarias

OpenAIRE

Riaño G., Nancy B.; Vera A., Victor J.; Villamil J., Luis Carlos

2007-01-01

Las características de una célula madre (stem cell) están determinadas por ser indiferenciadas, autorrenovables, y por tener la capacidad de generar células hijas para múltiples linajes celulares, con la capacidad de proliferar indefinidamente en cultivos. El origen de las células madre puede ser embrionario (blastómeros y células de la masa interna del blastocisto) o somático (células pluripotenciales de tejidos adultos). La fuente de las células madre somáticas es la médula ósea, en la cual...

Las rentas de las exportaciones y la política comercial con oligopolio

Directory of Open Access Journals (Sweden)

Marcos Ávalos

2005-01-01

Full Text Available Para una industria oligopólica, este ensayo analiza la manera cómo la políti -ca comercial puede depender de la naturaleza competitiva de los mercados.Estudiamos los efectos de las fusiones nacionales y extranjeras en la políticaco mer cial óp ti ma del país de re fe ren cia y en las ren tas de las ex por ta cio nes yel bienestar interno. Hay cuatro resultados principales: i se de mues tra quesi el país de referencia aplica su política comercial óptima, siempre perderáa resultas de una fusión extranje ra; ii cuan do el país de re fe ren cia apli ca supolítica comercial óptima, una fusión extranjera disminuirá las rentas de lasexportaciones; iii cuando el gobierno responde óptimamente a una fusióninterna, ésta no afectará el bienestar nacional, y iv cuan do el go bier no res -pon de óp ti ma men te a una fu sión in ter na, ésta no afec ta rá las ren tas de lasexportaciones.

Las actividades complementarias de las explotaciones agrícolas peruanas

Directory of Open Access Journals (Sweden)

2002-01-01

Full Text Available La diversification des sources de revenu des exploitations agricoles est une question cruciale pour le bien être des populations rurales. En effet, toute utilisation supplémentaire du travail en milieu rural pour des activités autres que celles directement liées à l’exploitation agricole peut contribuer à augmenter les revenus, même modestement. Cet article montre que malgré le potentiel que représentent les activités complémentaires des exploitations agricoles tant en termes de création d’emplois que de revenus, elles sont encore un domaine peu compris de l’économie rurale. Cette faiblesse provient à la fois de l’hétérogénéité de ces activités qui est à la source de nombreuses confusions conceptuelles et des lacunes des statistiques nationales disponibles qui n’enregistrent pas ces activités de manière adéquate. En dépit de ces difficultés, cet article tente de donner un aperçu de l’importance et des caractéristiques des activités complémentaires des exploitations agricoles péruviennes. Quatre conclusions principales émergent de l’ensemble des résultats présentés : la sous-estimation indubitable de ces activités donc des revenus qui en découlent la part significative qu’occupe l’agriculture dans l’ensemble des activités complémentaires, la concentration de ces activités dans deux ou trois secteurs, la relative stabilité de leur distribution selon les secteurs dans le temps et dans l’espace, une division du travail assez marquée entre les hommes et les femmes. La diversificación de las fuentes de ingresos de las explotaciones agrícolas es un asunto crucial para el bienestar de las poblaciones rurales. De hecho, en el medio rural, todo trabajo adicional en actividades distintas a las directamente relacionadas con la explotación agrícola puede contribuir al aumento de los ingresos, aun en forma modesta. Este trabajo muestra que, pese a su potencial en términos de generación de empleos e

Entre el castigo y la redención. Las mujeres encarceladas en las Islas Baleares (1936-1943

Directory of Open Access Journals (Sweden)

David GINARD I FÉRON

2012-02-01

Full Text Available El siguiente artículo analiza las características específicas y condiciones de vida de la prisión de mujeres de Mallorca en el contexto de la represión franquista contra las partidarias y simpatizantes de la República entre 1936 y 1943. En la primera parte del texto se aborda el período de la Guerra Civil, en el que, ante la insólita avalancha de detenciones de mujeres practicadas por los alzados, por primera vez en la historia de las Baleares fue preciso improvisar un centro de reclusión femenino. A continuación, se estudian los cambios operados en 1940 a raíz de la reconversión del modesto penal palmesano en una de las prisiones centrales de mujeres de España. En el tercer apartado, se trata de la singular presencia en esta cárcel de la congregación de Hermanas de la Caridad y su incidencia en la vida cotidiana. Seguidamente, se explican los mecanismos y estrategias de resistencia practicadas por las penadas para mejorar sus condiciones de vida, protegerse frente a las medidas disciplinarias adoptadas por las autoridades penitenciarias y difundir su ideario político. Finalmente, se alude brevemente a las causas y consecuencias de la clausura del centro penitenciario mallorquín y al proceso de recuperación de la memoria de las antiguas encarceladas desarrollado en la última década.

El cuerpo de las mujeres como un mensaje político vivo: el cuerpo   individual y colectivo en las vigilias de las Mujeres de Negro en Israel

Directory of Open Access Journals (Sweden)

Tova Benski

2012-12-01

Full Text Available Este documento aborda la cuestión de la centralidad del cuerpo en la protesta social. Combina ideas sobre la experiencia del cuerpo vivido tomadas de las teorías de los movimientos sociales, las teorías sociológicas clási‐ cas y las perspectivas feministas. Utilizando datos recogidos a través de la observación etnográfica y de entre‐ vistas, este trabajo explora las prácticas corporales de las vigilias de las “Mujeres de Negro” (WIB de Israel en Haifa, que se realizan en el espacio público, en tiempo real. El análisis explora las formas en que las WIB drama‐ tizan sus cuerpos individuales con el fin de comunicar un mensaje político opositor de desafío y estudia las formas en que las prácticas corporales de la vigilia dan lugar a un cuerpo colectivo que se convierte en mensa‐ je. Además, se demuestra que el cuerpo colectivo que emerge en la vigilia tiene un doble significado. Es un mensaje metafórico del poder suministrado a la sociedad y, al mismo tiempo, es un cuerpo vívido vibrante, abrazador, cálido que es experimentado por las mujeres como una existencia liminal. Si bien el análisis se cen‐ tra en un caso específico israelí, tiene relevancia general para el estudio del cuerpo en la protesta en otras so‐ ciedades, y constituye una contribución teórica a la comprensión de los procesos dinámicos de protesta en tiempo y espacio real.  

Usos, percepciones y potencialidades de las redes sociales en la construcción de las marcas

OpenAIRE

Arroyo Almaraz, Isidoro; Martín Nieto, Rebeca; Farfán Montero, Juana

2014-01-01

La investigación tiene como objetivo conocer el uso que las agencias de comunicación publicitaria hacen de las redes sociales, los sectores que ya las utilizan y los sectores para los que pueden tener mayor potencia, y los fines y recursos estratégicos como canal comunicativo. Se han encuestado al 75% de las agencias socias de la Asociación Española de Comunicación Publicitaria (AEACP) utilizando técnicas del cuestionario y del análisis de contenido cualitativo. Los resultados confirman que e...

The StreamCat Dataset: Accumulated Attributes for NHDPlusV2 (Version 2.1) Catchments for the Conterminous United States: National Anthropogenic Barrier Dataset

Data.gov (United States)

U.S. Environmental Protection Agency — This dataset represents the dam density and storage volumes within individual, local NHDPlusV2 catchments and upstream, contributing watersheds based on the National...

¿POR QUÉ ESTUDIAR LAS RELACIONES SOCIALES EN LAS TELE-ORGANIZACIONES?

Directory of Open Access Journals (Sweden)

Nora Inés Rubbini

2013-06-01

Full Text Available Con el desarrollo de la globalización y las tecnologías de la información y la comunicación aparecen las tele-organizaciones y el teletrabajo. Estos implican cambios en los modos de organización y trabajo tradicionales. Algunos, como los cambios en la estructura, la coordinación de actividades o el control del trabajo están siendo estudiados (aunque no acabadamente aún por la Administración. Otros, como las relaciones sociales en el trabajo, no.En este ensayo se argumenta por qué se considera de suma importancia que la Administración estudie cómo son las relaciones sociales que se gestan y sostienen en la organización cuando sus integrantes teletrabajan. Nos apoyamos en 1 la concepción del hombre como un ser social, 2 la importancia que éste asigna a los vínculos sociales en el trabajo, y 3 la concepción de la organización como un sistema social que para constituirse y mantenerse en el tiempo requiere encontrar un equilibrio entre sus intereses y los de sus integrantes. Palabras clave: Teletrabajo – Relaciones sociales - Administración

Biogeografía de las abejas de las orquídeas (Hymenoptera: Apidae: Euglossini en Colombia

Directory of Open Access Journals (Sweden)

Alejandro Parra-H.

2007-08-01

del país. Con base en el material de euglosinos depositados en la colección del LABUN, referencias bibliográficas, características morfológicas y comporamentales de la tribu, así como la localización geográfica y altitudinal de las especies, se desarrolló un análisis de correspondencia para determinar cómo las diferentes variables podrían estar implicadas en la distribución de los euglosinos en Colombia. Los resultados del análisis multivariado muestran que no hay una estrecha relación de las especies de euglosinos a las regiones naturales que ocupan, sino que dentro de las variables consideradas, el tamaño corporal (implicado en capacidad de vuelo y la termorregulación, la estructura social (asociada a aprovechamiento y optimización de recursos en el hábitat y la longitud de la lengua (relacionada con la preferencia y toma de néctares, generan la mayor variabilidad de la muestra. De acuerdo a las características morfológicas y comportamentales analizadas se propone un patrón biogeográfico para la distribución de las abejas euglosinas en Colombia.

Referencias a las armas utilizadas en las luchas nobiliarias gallegas en el siglo XV

Directory of Open Access Journals (Sweden)

Fraga Díez, Guillermo Federico Carlos

1988-12-01

Full Text Available Como modestísima aportación al tema, recogemos las referencias que figuran en un documento del año 1524, pero que aluden a sucesos ocurridos a finales del siglo xv. Se trata del recuento —efectuado en presencia del notario Antonio del Corral— de las armas existentes en quince fortalezas de la dignidad arzobispal de Santiago. Como sería muy prolijo enumerar el armamento de cada fortaleza una por una, hacemos una relación general de dichas armas, con alguna ligera anotación que encontramos en otras fuentes de la época referentes a la utilización de tales armas, llamando la atención sobre la coexistencia de las que podríamos llamar tradicionales con las nuevas de fuego.

El liderazgo integral en las organizaciones

Directory of Open Access Journals (Sweden)

Laura Reyes-Jácome

2011-01-01

Full Text Available El liderazgo integral es una concepción surgida desde el modelo integral de Wilber, el cual tiene en cuenta las dimensiones interior, exterior, individual y grupal que se encuentran presentes en todas las circunstancias de la vida y que configuran la manera de concebir, interpretar y llevar a cabo las acciones del líder. El presente artículo expone cómo es entendido el líder integral a partir de la observación de las diferentes dimensiones y sus interrelaciones, teniendo en cuenta los cuadrantes, niveles, estados, líneas de desarrollo y tipos, características que debe tener el líder integral en su rol dentro de la organización y las prácticas de transformación de las que puede hacer uso para convertirse en líder integral

Evaluation of Modified Categorical Data Fuzzy Clustering Algorithm on the Wisconsin Breast Cancer Dataset

Directory of Open Access Journals (Sweden)

Amir Ahmad

2016-01-01

Full Text Available The early diagnosis of breast cancer is an important step in a fight against the disease. Machine learning techniques have shown promise in improving our understanding of the disease. As medical datasets consist of data points which cannot be precisely assigned to a class, fuzzy methods have been useful for studying of these datasets. Sometimes breast cancer datasets are described by categorical features. Many fuzzy clustering algorithms have been developed for categorical datasets. However, in most of these methods Hamming distance is used to define the distance between the two categorical feature values. In this paper, we use a probabilistic distance measure for the distance computation among a pair of categorical feature values. Experiments demonstrate that the distance measure performs better than Hamming distance for Wisconsin breast cancer data.

Motivaciones de uso de las redes sociales para el desarrollo del capital social de las mujeres de entorno rural

Directory of Open Access Journals (Sweden)

Luisa Vega Caro

2015-07-01

Full Text Available Estudios previos han mostrado los riesgos de exclusión digital de comunidades rurales y personas mayores y cómo las motivaciones de uso influyen en las prácticas y hábitos de uso de las tecnologías. Con este trabajo queremos analizar cómo las motivaciones, que impulsan a las mujeres adultas de entorno rural a usar las redes sociales, favorecen el desarrollo de su capital social potenciando diferentes formas de participación en la cultura digital. Partiendo de una investigación más amplia sobre 478 mujeres andaluzas de zonas rurales de 18 a 65 años, este trabajo presenta un estudio cualitativo en profundidad de 13 de ellas mediante entrevistas autobiográficas sobre su experiencia en las redes. Los resultados muestran que el uso de las redes sociales descubre oportunidades de participación social vinculadas a diversas inquietudes, revelando las redes sociales como un espacio significativo para promover su participación en la vida cultural y social de sus comunidades.

Los significados de la reconciliación desde las voces de las víctimas

Directory of Open Access Journals (Sweden)

Esperanza Hernández Delgado

2003-01-01

Full Text Available El artículo recoge desde el trabajo de investigación para la paz, la manifestación directa de comunidades afectadas por la violencia política en Colombia y los aportes de analistas de experiencias internacionales de reconciliación, sobre los significados de la reconciliación desde las voces de las víctimas. Plantea que la reconciliación no puede seguir siendo considerada sólo desde el Estado y los actores armados en procesos de negociación de conflictos armados internos, sino que necesariamente debe consultar las voces de sus víctimas como requisito indispensable para el cierre del ciclo de la violencia y la edificación de las bases de una paz estable y duradera. Desde la perspectiva de las víctimas de la violencia, la reconciliación equivale a derecho a la verdad, superación de la impunidad y reparación integral.

Las sirenas de Sarhua

Directory of Open Access Journals (Sweden)

Luis Millones

2011-05-01

Full Text Available El presente artículo es producto de una investigación sobre uno de los motivos más llamativos y recurrentes en las Tablas de Sarhua: la sirena.Realizamos una aproximación a este motivo, que originalmente aparece en la literatura clásica occidental, con la finalidad de explicar las razones de su presencia en el arte andino. Para tal efecto transcribimos algunos testimoniosque, desde una cosmovisión netamente andina, dan cuenta de una serie de creencias vinculadas con el ámbito musical, en el que las sirenas juegan un papel central.Palabras claves: Tablas de Sarhua, sirena, arte andino, música andina.

Las relaciones geopolíticas de las áreas albanesas

Directory of Open Access Journals (Sweden)

Máté Kitanics

2012-02-01

Full Text Available En el artículo los autores examinan las relaciones geopolíticas de los territorios albaneses, extendiéndose al análisis de las relaciones entre albaneses y albaneses, albaneses y serbios, macedonios, montenegrinos, griegos e incluyendo el estudio de los organismos albaneses en las organizaciones internacionales. El análisis enfoca la cuestión de cómo es posible la existencia de una nación albanesa unida a pesar de las diferencias religiosas y culturales internas y la posibilidad de la formación de una Gran Kosovo/Gran Albania. Palabras claves: territorios históricos albaneses, geopolítica, vecindad, Gran Albania______________________Abstract:In this article the writers make an attempt to reveal the geopolitical relationsystem of the coherent Albanian quarter territory in the Balcan. The article includes not just the general characterization of the quarter territory and the examination of the Albanian-Albanian, Albanian–Serbian-Macedonian- Montenegrian-Greek relations but the examination of the role and importance of the Albanian national bodies in the international system. In the study is put emphasis on the analysis of the question if there can be an united Albanian nation in spite of the inner religious and cultural fracture lines respectively the author pair touches upon the chances of founding Great-Kosovo and Great-Albania, too.KeyWords: quarter territory, geopolitics, neighbourhood, Great-Albania

CAMBIO DE LAS INSTITUCIONES PARA EL DESARROLLO

Directory of Open Access Journals (Sweden)

Antonio Vázquez Barquero

2006-06-01

Full Text Available Existe un amplio acuerdo sobre que el funcionamiento de las instituciones determina la evolución de las economías y la senda específica de crecimiento de las ciudades y países; es decir, que las normas y reglas, formales (como los contratos y los acuerdos entre empresas y actores pero también informales (como los códigos de conducta y las convenciones, existentes en cada sociedad, juegan un papel estratégico en los procesos de desarrollo. Las empresas y las organizaciones toman sus decisiones de inversión en un entorno institucional y las realizan a través de un sistema de relaciones e interacciones con otras empresas y organizaciones, que forman el sistema institucional, lo que afecta a los resultados de la inversión, y, por lo tanto, al comportamiento de la productividad y al propio proceso de desarrollo económico (Vázquez Barquero, 2005.  

NEW WEB-BASED ACCESS TO NUCLEAR STRUCTURE DATASETS.

Energy Technology Data Exchange (ETDEWEB)

WINCHELL,D.F.

2004-09-26

As part of an effort to migrate the National Nuclear Data Center (NNDC) databases to a relational platform, a new web interface has been developed for the dissemination of the nuclear structure datasets stored in the Evaluated Nuclear Structure Data File and Experimental Unevaluated Nuclear Data List.

Cross-Dataset Analysis and Visualization Driven by Expressive Web Services

Science.gov (United States)

Alexandru Dumitru, Mircea; Catalin Merticariu, Vlad

2015-04-01

The deluge of data that is hitting us every day from satellite and airborne sensors is changing the workflow of environmental data analysts and modelers. Web geo-services play now a fundamental role, and are no longer needed to preliminary download and store the data, but rather they interact in real-time with GIS applications. Due to the very large amount of data that is curated and made available by web services, it is crucial to deploy smart solutions for optimizing network bandwidth, reducing duplication of data and moving the processing closer to the data. In this context we have created a visualization application for analysis and cross-comparison of aerosol optical thickness datasets. The application aims to help researchers identify and visualize discrepancies between datasets coming from various sources, having different spatial and time resolutions. It also acts as a proof of concept for integration of OGC Web Services under a user-friendly interface that provides beautiful visualizations of the explored data. The tool was built on top of the World Wind engine, a Java based virtual globe built by NASA and the open source community. For data retrieval and processing we exploited the OGC Web Coverage Service potential: the most exciting aspect being its processing extension, a.k.a. the OGC Web Coverage Processing Service (WCPS) standard. A WCPS-compliant service allows a client to execute a processing query on any coverage offered by the server. By exploiting a full grammar, several different kinds of information can be retrieved from one or more datasets together: scalar condensers, cross-sectional profiles, comparison maps and plots, etc. This combination of technology made the application versatile and portable. As the processing is done on the server-side, we ensured that the minimal amount of data is transferred and that the processing is done on a fully-capable server, leaving the client hardware resources to be used for rendering the visualization

“y sobre las armas se concertaron las paces”: explorando las rutinas de los acuerdos diplomáticos coloniales

Directory of Open Access Journals (Sweden)

Lidia Nacuzzi

2008-07-01

Full Text Available En este artículo proponemos un análisis comparativo de las negociaciones y tratados de paz acor-dados entre los grupos indígenas y los funcionarios coloniales en el Chaco y la Pampa durante el siglo XVIII. Consideraremos cómo fueron construidos los “pedidos de paz”, en qué contextos y coyunturas regionales tuvieron lugar y buscaremos identificar los intereses implícitos de cada una de las partes y las distintas es- trategias de interacción —intercambios de objetos, fundación de reducciones, liberación de cautivos— en el acto de establecer los acuerdos entre hispanocriollos e indígenas, en estos espacios de frontera en donde el control de la Corona no era efectivo y los grupos indígenas conservaban su independencia.

The Role of Datasets on Scientific Influence within Conflict Research.

Science.gov (United States)

Van Holt, Tracy; Johnson, Jeffery C; Moates, Shiloh; Carley, Kathleen M

2016-01-01

We inductively tested if a coherent field of inquiry in human conflict research emerged in an analysis of published research involving "conflict" in the Web of Science (WoS) over a 66-year period (1945-2011). We created a citation network that linked the 62,504 WoS records and their cited literature. We performed a critical path analysis (CPA), a specialized social network analysis on this citation network (~1.5 million works), to highlight the main contributions in conflict research and to test if research on conflict has in fact evolved to represent a coherent field of inquiry. Out of this vast dataset, 49 academic works were highlighted by the CPA suggesting a coherent field of inquiry; which means that researchers in the field acknowledge seminal contributions and share a common knowledge base. Other conflict concepts that were also analyzed-such as interpersonal conflict or conflict among pharmaceuticals, for example, did not form their own CP. A single path formed, meaning that there was a cohesive set of ideas that built upon previous research. This is in contrast to a main path analysis of conflict from 1957-1971 where ideas didn't persist in that multiple paths existed and died or emerged reflecting lack of scientific coherence (Carley, Hummon, and Harty, 1993). The critical path consisted of a number of key features: 1) Concepts that built throughout include the notion that resource availability drives conflict, which emerged in the 1960s-1990s and continued on until 2011. More recent intrastate studies that focused on inequalities emerged from interstate studies on the democracy of peace earlier on the path. 2) Recent research on the path focused on forecasting conflict, which depends on well-developed metrics and theories to model. 3) We used keyword analysis to independently show how the CP was topically linked (i.e., through democracy, modeling, resources, and geography). Publically available conflict datasets developed early on helped shape the

SatelliteDL: a Toolkit for Analysis of Heterogeneous Satellite Datasets

Science.gov (United States)

Galloy, M. D.; Fillmore, D.

2014-12-01

SatelliteDL is an IDL toolkit for the analysis of satellite Earth observations from a diverse set of platforms and sensors. The core function of the toolkit is the spatial and temporal alignment of satellite swath and geostationary data. The design features an abstraction layer that allows for easy inclusion of new datasets in a modular way. Our overarching objective is to create utilities that automate the mundane aspects of satellite data analysis, are extensible and maintainable, and do not place limitations on the analysis itself. IDL has a powerful suite of statistical and visualization tools that can be used in conjunction with SatelliteDL. Toward this end we have constructed SatelliteDL to include (1) HTML and LaTeX API document generation,(2) a unit test framework,(3) automatic message and error logs,(4) HTML and LaTeX plot and table generation, and(5) several real world examples with bundled datasets available for download. For ease of use, datasets, variables and optional workflows may be specified in a flexible format configuration file. Configuration statements may specify, for example, a region and date range, and the creation of images, plots and statistical summary tables for a long list of variables. SatelliteDL enforces data provenance; all data should be traceable and reproducible. The output NetCDF file metadata holds a complete history of the original datasets and their transformations, and a method exists to reconstruct a configuration file from this information. Release 0.1.0 distributes with ingest methods for GOES, MODIS, VIIRS and CERES radiance data (L1) as well as select 2D atmosphere products (L2) such as aerosol and cloud (MODIS and VIIRS) and radiant flux (CERES). Future releases will provide ingest methods for ocean and land surface products, gridded and time averaged datasets (L3 Daily, Monthly and Yearly), and support for 3D products such as temperature and water vapor profiles. Emphasis will be on NPP Sensor, Environmental and

Mujer y Management. Gestión empresarial de las mujeres directivas en las organizaciones complejas contemporáneas

OpenAIRE

Casas Romeo, Agustí

1997-01-01

La idea inicial de la tesis es averiguar las razones reales por las que la mujer está infrarepresentada en la alta dirección de las organizaciones complejas.La tesis es selectiva en el muestreo por dos razones: primeramente, desde una vertiente vertical puesto que no contempla las responsables de rangos medios de la jerarquía; y por otra, se ha procedido a una segmentación horizontal, de tal forma que quedan excluidas las empresarias en el sentido "fiscal", o sea, propietarias de negocios, mi...

Las preguntas de los alumnos, análisis de su aportación al aprendizaje de las ciencias

OpenAIRE

Roca Tort, M.

2009-01-01

La importancia de las preguntas, en la construcción de las ideas científicas y en el proceso comunicativo que favorece su construcción, ha planteado la necesidad de buscar las características que permiten distinguir las preguntas que favorecen este proceso. Se parte de los resultados encontrados al analizar las preguntas planteadas por los alumnos de primer ciclo de ESO al realizar la unidad didáctica sobre el ciclo del agua. En primer lugar se analizó el contenido y la demanda de cada una de...

Augmented Reality Prototype for Visualizing Large Sensors’ Datasets

Directory of Open Access Journals (Sweden)

Folorunso Olufemi A.

2011-04-01

Full Text Available This paper addressed the development of an augmented reality (AR based scientific visualization system prototype that supports identification, localisation, and 3D visualisation of oil leakages sensors datasets. Sensors generates significant amount of multivariate datasets during normal and leak situations which made data exploration and visualisation daunting tasks. Therefore a model to manage such data and enhance computational support needed for effective explorations are developed in this paper. A challenge of this approach is to reduce the data inefficiency. This paper presented a model for computing information gain for each data attributes and determine a lead attribute.The computed lead attribute is then used for the development of an AR-based scientific visualization interface which automatically identifies, localises and visualizes all necessary data relevant to a particularly selected region of interest (ROI on the network. Necessary architectural system supports and the interface requirements for such visualizations are also presented.

Associating uncertainty with datasets using Linked Data and allowing propagation via provenance chains

Science.gov (United States)

Car, Nicholas; Cox, Simon; Fitch, Peter

2015-04-01

With earth-science datasets increasingly being published to enable re-use in projects disassociated from the original data acquisition or generation, there is an urgent need for associated metadata to be connected, in order to guide their application. In particular, provenance traces should support the evaluation of data quality and reliability. However, while standards for describing provenance are emerging (e.g. PROV-O), these do not include the necessary statistical descriptors and confidence assessments. UncertML has a mature conceptual model that may be used to record uncertainty metadata. However, by itself UncertML does not support the representation of uncertainty of multi-part datasets, and provides no direct way of associating the uncertainty information - metadata in relation to a dataset - with dataset objects.We present a method to address both these issues by combining UncertML with PROV-O, and delivering resulting uncertainty-enriched provenance traces through the Linked Data API. UncertProv extends the PROV-O provenance ontology with an RDF formulation of the UncertML conceptual model elements, adds further elements to support uncertainty representation without a conceptual model and the integration of UncertML through links to documents. The Linked ID API provides a systematic way of navigating from dataset objects to their UncertProv metadata and back again. The Linked Data API's 'views' capability enables access to UncertML and non-UncertML uncertainty metadata representations for a dataset. With this approach, it is possible to access and navigate the uncertainty metadata associated with a published dataset using standard semantic web tools, such as SPARQL queries. Where the uncertainty data follows the UncertML model it can be automatically interpreted and may also support automatic uncertainty propagation . Repositories wishing to enable uncertainty propagation for all datasets must ensure that all elements that are associated with uncertainty

Datasets collected in general practice: an international comparison using the example of obesity.

Science.gov (United States)

Sturgiss, Elizabeth; van Boven, Kees

2018-06-04

International datasets from general practice enable the comparison of how conditions are managed within consultations in different primary healthcare settings. The Australian Bettering the Evaluation and Care of Health (BEACH) and TransHIS from the Netherlands collect in-consultation general practice data that have been used extensively to inform local policy and practice. Obesity is a global health issue with different countries applying varying approaches to management. The objective of the present paper is to compare the primary care management of obesity in Australia and the Netherlands using data collected from consultations. Despite the different prevalence in obesity in the two countries, the number of patients per 1000 patient-years seen with obesity is similar. Patients in Australia with obesity are referred to allied health practitioners more often than Dutch patients. Without quality general practice data, primary care researchers will not have data about the management of conditions within consultations. We use obesity to highlight the strengths of these general practice data sources and to compare their differences. What is known about the topic? Australia had one of the longest-running consecutive datasets about general practice activity in the world, but it has recently lost government funding. The Netherlands has a longitudinal general practice dataset of information collected within consultations since 1985. What does this paper add? We discuss the benefits of general practice-collected data in two countries. Using obesity as a case example, we compare management in general practice between Australia and the Netherlands. This type of analysis should start all international collaborations of primary care management of any health condition. Having a national general practice dataset allows international comparisons of the management of conditions with primary care. Without a current, quality general practice dataset, primary care researchers will not

¿Cómo darle visibilidad a la violencia contra las mujeres en Chile? Contribución de las Agencias de las Naciones Unidas

OpenAIRE

Jáuregui Mejía, María Luisa

2005-01-01

En este artículo se presenta el trabajo que está siendo realizado por la Mesa Temática de Género, que es un grupo de Expertas en Género de cinco Agencias de las Naciones Unidas con sede en Chile, que trabajan de forma unida dando apoyo al Servicio Nacional de la Mujer en Chile (SERNAM), para encarar el tema de la violencia contra las mujeres en Chile. El trabajo se concentra prioritariamente en tres áreas: prevención de la violencia, tratamiento de las víctimas y denuncia de...

A Dataset of Three Educational Technology Experiments on Differentiation, Formative Testing and Feedback

Science.gov (United States)

Haelermans, Carla; Ghysels, Joris; Prince, Fernao

2015-01-01

This paper describes a dataset with data from three individually randomized educational technology experiments on differentiation, formative testing and feedback during one school year for a group of 8th grade students in the Netherlands, using administrative data and the online motivation questionnaire of Boekaerts. The dataset consists of pre-…

New public dataset for spotting patterns in medieval document images

Science.gov (United States)