411 research outputs found

    IBPP Research Associates: Namibia/Turkey

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    This article - The Globalization of Old Age, by Serdan Sayan - was posted on the January 9, 2003 issue of The Namibian (Namibia). It has not been posted in Scholarly Commons due to copyright restrictions. Though a subscription for full access to the article is required, partial access to the article is available online in the archives of Project Syndicate. The article discusses wealth inequality and the aging, or graying, of the world\u27s richest nations and the subsequent possible global impact of this demographic reality. The author is Vice-Chairman and Director of Graduate Studies, Department of Economics, Bilkent University, Ankara, Turkey

    sj-pdf-1-pim-10.1177_14750902221078426 – Supplemental material for Safety analysis of a high-pressure fuel gas supply system for LNG fuelled vessels

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    Supplemental material, sj-pdf-1-pim-10.1177_14750902221078426 for Safety analysis of a high-pressure fuel gas supply system for LNG fuelled vessels by Konstantinos Milioulis, Victor Bolbot, Gerasimos Theotokatos, Evangelos Boulougouris, Paul Sayan, Kelvin Wen Yong Chio and Wei Siang Lim in Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment</p

    PENERAPAN KONSEP COMFORT OF HUMAN CIRCULATION DAN ARSITEKTUR NEO VERNAKULAR PADA REDESAIN PASAR TRADISIONAL DESA SAYAN

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    Traditional markets are places where buying and selling transactions take place between traders and buyers by implementing a bargaining system that is characteristic of traditional markets. Many people depend on the existence of traditional markets. Especially for lower middle class people. Sayan Village Traditional Market, Ubud District, Gianyar Regency is a location for trading daily necessities such as fruit, vegetables, meat, prayer tools, and others. The problems faced by this market are unhygienic market conditions and the appearance of slums, buildings and spatial layout. Sayan Market experiences an inadequate and disorganized condition, with a number of areas not being utilized optimally, such as chaotic parking and kiosk facilities and main market stalls that are neglected and not well maintained. This can cause people to feel uncomfortable, and people prefer modern markets that prioritize cleanliness. The research method used by the author to prepare this research is a qualitative method in the form of literature study, observation, documentation and interviews. Based on the existing problems, it is necessary to redesign the Traditional Market in Sayan Village, Ubud District, Gianyar Regency so that it can accommodate functions well packaged in a new, clean, comfortable market appearance and pay attention to more optimal circulatio

    Moss occurrences in Salair-Kuznetsk Region (Altai-Sayan mountain country)

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    In the flora of large regions, mosses comprise about a quarter of the total diversity of higher plants. However, now mosses are the least studied group of higher plants. Data on moss species distribution are fragmentary, especially in Russia with its vast expanse and low density of botanists.The author for many years has been studying the bryoflora of various areas of the Salair-Kuznetsk Region. In addition to the herbarium collection, the author's bryological relevés were organised as a Database. It stores all the assembled information for the years about the locations of the species, including when the specimens were not placed in the herbarium.The article describes three datasets that were arranged from the author's databases for three geomorphological units in the northwest of Altai-Sayan mountain country (South Siberia). Together, these three units are combined into the Salair-Kuznetsk Region. The datasets are:1. Moss occurrences in the Kuznetsk upland.The dataset consists of 3940 occurrence records and includes both preserved specimens (1135) and ‘human observations’ of the author (2805). The material was collected mainly from 1992-2011; some samples collected by A. N. Vasiliev in 1970-1971 (165) were also taken into account. A total of 312 moss taxa belonging to 135 genera and 41 families are reported for the region.2. Moss occurrences in Salair Ridge.The dataset consists of 2442 occurrence records and includes both preserved specimens (553) and ‘human observations’ of the author (1889). The material was collected mainly from 1992-1996; a total of 231 moss taxa belonging to 119 genera and 35 families are reported for the region.3. Moss occurrences in Kuznetsk Depression.The dataset consists of 1690 occurrence records and includes both preserved specimens (281) and ‘human observations’ of the author (1409). The material was collected mainly from 2007-2014; a total of 155 moss taxa belonging to 85 genera and 30 families are reported for the region.All the records are geo-linked. The uncertainty of coordinates in metres varies from 500.0-10000.0 m for the earliest records that are geo-linked by topo-map, to 10.0-100.0 m for records after 2003 that are geo-linked by GPS.The article summarises the results of the author's long-term bryological investigations in the Salair-Kuznetsk Region (northwest of Altai-Sayan mountain country, South Siberia).In total, 8072 occurrence records for 366 moss species from 148 genera and 41 families are published for the territory. The datasets contribute to filling gaps in the moss species distribution and ecology

    Reachability in Timed Automata with Diagonal Constraints

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    We consider the reachability problem for timed automata having diagonal constraints (like x - y < 5) as guards in transitions. The best algorithms for timed automata proceed by enumerating reachable sets of its configurations, stored in a data structure called "zones". Simulation relations between zones are essential to ensure termination and efficiency. The algorithm employs a simulation test Z <= Z' which ascertains that zone Z does not reach more states than zone Z', and hence further enumeration from Z is not necessary. No effective simulations are known for timed automata containing diagonal constraints as guards. We propose a simulation relation <=_{LU}^d for timed automata with diagonal constraints. On the negative side, we show that deciding Z not <=_{LU}^d Z' is NP-complete. On the positive side, we identify a witness for Z not <=_{LU}^d Z' and propose an algorithm to decide the existence of such a witness using an SMT solver. The shape of the witness reveals that the simulation test is likely to be efficient in practice

    POSITION OF PRADANA IN NYEBURIN MARRIAGE REVIEWED FROM THE LAW OF BALI INDIGENOUS HERITAGE IN BANJAR KUTUH DESA SAYAN KECAMATAN UBUD KABUPATEN GIANYAR

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    The aims of this study are to know the Nyeburin Marriage Inheritance System in Banjar Kutuh, Sayan Village, Ubud District, Gianyar Regency women as Purusa or nyentana men as Pradana if their inheritance is in the form of land assets and to know the position of social social status of men as Pradana in Nyeburin Marriage in indigenous communities in the Village of Sayan Banjar Kutuh, Ubud District, Gianyar Regency. This method uses Empirical legal research. Using the statutory approach, case approach, and conceptual approach. Sources of data are sourced from primary data (field research) and secondary data (library research). Data collection techniques consisted of interview techniques, document study techniques, and literature study techniques. The data collected was analyzed descriptive qualitatively. The author uses the theory of justice, the theory of legal certainty, the theory of reception in complex u. Based on the results of the study it was found that the inheritance of nyeburin marriage in Banjar village is still strong in women because of their status as Purusa and their social social status is different if the work of a person who becomes a pradana, for example, a doctor may look higher. The conclusion is that a woman still has the right to inherit because as a purusa and if the inheritance in the form of land remains the right of the woman and in social status remains the head of the household in the community remains the same except for work that makes their social status different

    Probability Models for Targeted Borrowing of Information

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    This dissertation is devoted to building Bayesian models for complex data, which are geared toward specific inferential aspects of applied problems. This broad topic is explored via three methodological case-studies, unified by the use of latent variables to build structured yet flexible models. Chapter one reviews previous work developing two classic Bayesian latent variable models: Gaussian factor models and latent mixture models. This background helps contextualize the contributions of later chapters.Chapter two considers the problem of analyzing patterns of covariation in dichotomous multivariate data. Sparse factor models are adapted for this purpose using a probit link function, extending the work of Carvalho et al. (2008) to the multivariate binary case. Simulation studies show that the regularization properties of the sparsity priors aid inference even when the data is generated according to a non-sparse, non-factor model. The model is then applied to congressional roll call voting data to conduct an exploratory study of voting behavior in the U.S. Senate. Unsurprisingly, the data is readily characterized in terms of only a few latent factors, the most dominant of which is recognized as party affiliation. Chapter three turns to the use of factor models for the purpose of regularized linear prediction. First it is demonstrated that likelihood-based factor model selection for the purpose of prediction is difficult and the root causes of this difficulty are described. Then, it is explained how to avoid this difficulty by modeling the marginal predictor covariance with a factor model while letting the response variable deviate from the factor structure if necessary. This novel parameterization yields improved out-of-sample prediction compared to competing methods, including ridge regression and unmodified factor regression, on both real and synthetic data.Chapter four concerns mixtures of Beta distributions for modeling observations on a finite interval. Mixture models have long been used for the purpose of density estimation, with the added benefit that the inferred latent mixture components often have plausible subject-specific interpretations. This chapter develops a statistical approach -- within the specific context of a behavioral game theory experiment -- which permits refined statistical assessment of these subject-specific interpretations. The new model is fit to specially collected data, allowing refined model-testing using a posterior holdout log-likelihood score (similar to a Bayes factor). In addition to providing improved testing capability, this chapter serves as an introduction to the world of behavioral game theory for statisticians and as an explicitly statistical perspective on a well-known example for behavioral economists.Chapter five concludes with a summary of two works-in-progress based on latent Gaussian processes: a model for nonlinear conditional quantile regression and a model for Lie group-based Bayesian manifold learning.</p

    Special Issue on “Recent Advances in Robust Adaptive Control”

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    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.Team Bart De Schutte

    The HathiTrust Digital Library’s potential for musicology research

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    The HathiTrust Digital Library (HTDL) is one of the largest digital libraries in the world, containing over fourteen million volumes from the collections of major academic and research libraries. In this paper, we discuss the HTDL's potential for musicology research by providing a bibliometric analysis of the collection as a whole, and of the music materials in particular. A series of case studies illustrates the kinds of musicological research that may be conducted using the HTDL. We highlight several opportunities for improvement, and discuss promising future directions for new knowledge creation through the processing and analysis of large amounts of retrospective data. The HTDL presents significant new opportunities to the study of music that will continue to expand as data, metadata and collection enhancements are introduced
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