873 research outputs found

    The effect of fracture roughness on the onset of non-linear flow, supplementary data

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    Supplementary material for Cunningham, D., Auradou, H., Shojiei-Zaden, S., and Drazer, G. article, "The effect of fracture roughness on the onset of non-linear flow.

    Merce Cunningham and his Technique

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    This thesis approaches the personal life, artistic creation and dance technique of American dancer and choreographer Mercier Philip Cunningham. The first part focuses on the artist?s life stages during his evolution in dance from the beginnings of his choreographic work, and seeks the origins for the establishment of his own dance company ? Merce Cunningham Dance Company. A chronological overview of his extensive repertoire is also incorporated. The second part deals with collaboration, connection and interaction among the dance, music, design and film fields during the artistic work of Merce Cunningham. Following the author?s experience with Cunningham technique, the final part is directed to an understanding of this dance technique, its principles and specific elements used in contemporary dance world

    Sectoral allocation by gender of Latin American workers over the liberalization period of the 1990s

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    The recent restructuring of Latin American economies has renewed interest in the effects of trade liberalization, on labor markets, and on the gender division of labor. The author does not attempt to establish casuality between economic reforms, and the types of jobs that men and women hold. Instead, she provides a detailed description of the trends in male, and female formal, and informal sector participation during the economic reform period in Argentina, Brazil, and Costa Rica. The author first compares the gender composition of the formal, informal wage, and self-employment sectors in a year before reforms (1988 for Argentina, 1989 for Brazil, and Costa Rica), and a year after reforms implementation (1997 for Argentina, 1995 for Brazil and Costa Rica). Although women continued to be more likely than men to work in the informal wage sector, there is no trend of"masculinization"or"feminization"of the informal sector, or any other. Instead, in Argentina men have overtaken women as the most prevalent workers in the informal wage sector, while in Brazil, the opposite has occurred (as men move into self-employment). In Costa Rica there have been no statistical, observable changes. The author then considers the distribution across sectors within each gender group, to identify whether men, and women are more likely to select different sectors in the post-reform period relative to the pre-reform period. Among both men, and women in all three countries (except Brazilian men), workers have become more likely to hold informal wage jobs, and less likely to hold formal sector jobs. Trends in human capital accumulation explain these changes for both men, and women, while changes in gender roles, primarily in homecare and marriage, do not seem to have an effect.Health Monitoring&Evaluation,Labor Policies,Population&Development,Public Health Promotion,Environmental Economics&Policies,Health Monitoring&Evaluation,Environmental Economics&Policies,Population&Development,Banks&Banking Reform,Work&Working Conditions

    Improving scenario discovery by bagging random boxes

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    AbstractScenario discovery is a model-based approach to scenario development under deep uncertainty. Scenario discovery relies on the use of statistical machine learning algorithms. The most frequently used algorithm is the Patient Rule Induction Method (PRIM). This algorithm identifies regions in an uncertain model input space that are highly predictive of model outcomes that are of interest. To identify these regions, PRIM uses a hill-climbing optimization procedure. This suggests that PRIM can suffer from the usual defects of hill climbing optimization algorithms, including local optima, plateaus, and ridges and valleys. In case of PRIM, these problems are even more pronounced when dealing with heterogeneously typed data. Drawing inspiration from machine learning research on random forests, we present an improved version of PRIM. This improved version is based on the idea of performing multiple PRIM analyses based on randomly selected features and combining these results using a bagging technique. The efficacy of the approach is demonstrated using three cases. Each of the cases has been published before and used PRIM. We compare the results found using PRIM with the results found using the improved version of PRIM. We find that the improved version is more robust to new data, can better cope with heterogeneously typed data, and is less prone to overfitting

    Chronicle (Paterson, NJ) Vol. 31, No. 14, Apr. 5, 1959

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    Local information pertaining to Paterson, N.J. and surrounding Passaic County. Issues may include events, government, business, political cartoons, engagement and marriage announcements, and birth announcements. This publication was also known as the Paterson Chronicle (1952) and the Paterson Sunday Chronicle (1951-1952)

    Breadwinner or caregiver? - how household role affectslabor choices in Mexico

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    Recent volatility in the Mexican economy, has required households to alter patterns of participation in the labor force, voluntarily or not. The author uses panel data to examine patterns of labor force entry among adult men, and women with different household responsibilities, asking whether gender is a primary determinant, shaping these patterns. She finds that labor supply patterns are driven more by household role, than by gender. Heads of households, regardless of sex, behave similarly. Women who have neither spouses, nor children behave more like men, than like married women. They are also more likely than any other group to have inflexible, higher-paying jobs in the formal sector - which raises the question: Do employers discriminate, based on gender, or on household structure? She also detects a strong added-worker effect among secondary workers, a result not detected in the labor markets of developed countries that have social insurance programs. Finally she finds that wives'choice of sector during downturns, is subject to the households'earning needs, that husbands use informal wage, or contract employment as an employer of last resort, only in response to negative income shocks to the household, and that single mothers do not select the informal sector over the formal sector in response to either expected, or realized negative income shocks. The policy implications? Interventions that target women aren't necessarily appropriate, because women are heterogeneous. And programs that aid household heads - male or female - should be directed toward employment that will last beyond the economic shock.Environmental Economics&Policies,Labor Markets,Educational Policy and Planning,Labor Policies,Health Economics&Finance,Environmental Economics&Policies,Health Economics&Finance,Labor Markets,Educational Policy and Planning,Health Monitoring&Evaluation

    Deep stylometry and lexical and syntactic features based author attribution on PLoS digital repository

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    In this paper, we address the problem of author attribution through unsupervised clustering using lexical and syntactic features and novel deep learning based Stylometric model. For this purpose, we download all available 158918 publications accessible till 1 July 2015 from PLOS.org - an open access digital repository of full text publications. After pre-processing, out of these, we use 803 single authored publications written by 203 unique authors. For unsupervised modeling, stylometric markers such as lexical and syntactic features are used as a distance matrix by employing k-Means clustering algorithm. For supervised modeling, we present a novel long short-term memory (LSTM) based deep learning model that predicts the testing accuracy of a given publication written by an author. Finally, our unsupervised model shows that 88.17% authors are classified into correct cluster (all papers written by the same author) with at most 0.2 coefficient of Entropy error. While our deep learning based model consistently shows above 95% accuracy across all the given testing samples of publications written by an author with an average loss of 0.21

    Chronicle (Paterson, NJ) Vol. 31, No. 30, Jul. 26, 1959

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    Local information pertaining to Paterson, N.J. and surrounding Passaic County. Issues may include events, government, business, political cartoons, engagement and marriage announcements, and birth announcements. This publication was also known as the Paterson Chronicle (1952) and the Paterson Sunday Chronicle (1951-1952)

    Redistribution of garbage codes to underlying causes of death: a systematic analysis on Italy and a comparison with most populous Western European countries based on the Global Burden of Disease Study 2019 (Jan, 10.1093/eurpub/ckab194, 2022)

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    In the originally published version of this manuscript, an author was erroneously omitted from the list of authors. The list should read: “Lorenzo Monasta, Gianfranco Alicandro, Maja Pasovic, Matthew Cunningham, Benedetta Armocida, Christopher J L Murray, Luca Ronfani, Mohsen Naghavi, GBD 2019 Italy Causes of Death Collaborators” instead of “Lorenzo Monasta, Gianfranco Alicandro, Maja Pasovic, Matthew Cunningham, Benedetta Armocida, Luca Ronfani, Mohsen Naghavi, GBD 2019 Italy Causes of Death Collaborators”. This error has been corrected online

    Target product profiles for devices to diagnose urinary schistosomiasis in Nigeria

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    Schistosomiasis is a treatable and preventable neglected tropical disease of Public Health importance affecting over 200 million people worldwide while Nigeria is one of the high burden countries. Currently, available diagnostic tests are cumbersome, low in sensitivity and not field-adaptable given the high skills required that are not available in the rural settings where the diseases are majorly prevalent. There is an urgent need for an easy to use automated diagnostic device to replace the current gold standard, the human-operated microscope. Many promising automated diagnostic technologies are under development. However, a good understanding of the real needs within the local healthcare context is crucial in order to develop and implement a new health diagnostic device. Too often, there is a mismatch between what is needed and what is developed. A target product profile can guide the R&D process in matching with the needs in the local healthcare context. The goal of this project is to combine gaps in the healthcare system and needs from stakeholders with technological possibilities in order to develop a target product profile for a diagnostic device for S. haematobium for specific healthcare scenarios in Nigeria.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Design for SustainabilityTeam Raf Van de Pla
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