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The Balkan Conditional in South Slavic

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Book Series: Slavistische Beitraege ISBN: 9783876908519 Year: Pages: 320 DOI: 10.3726/b12699 Language: German
Publisher: Peter Lang International Academic Publishing Group
Subject: Linguistics
Added to DOAB on : 2019-01-15 13:31:33
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This study examines the morphological and semantic development of the modal construction formed with either the imperfect of 'to want' (Croatian/Serbian) plus the infinitive, or with a modal particle from 'to want' (Macedonian) plus the imperfect of the main verb. The Balkan conditional is analyzed using material from diverse sources, including epic folk poetry, dialectal texts, and the standard literary language in the South Slavic languages, as well as in the Balkan non-Slavic languages of Greek, Albanian, Daco-Rumanian, Istro-Rumanian, and Arumanian. Specific syntactic and semantic contexts are analyzed, and the Balkan conditional is compared to other modal constructions in these languages. One of the characteristic analytic verbal forms shared by the languages of the Balkan league is the Balkan conditional or the so-called 'future-in-the-past'. In the majority of these languages, the Balkan conditional has the status of a grammatical category, whose invariant components are 'modality', specifically 'potentiality', and 'reference to past tense'. With such components, these expressions most frequently and naturally refer to actions which did not take place, i.e., the past, contrary-to-fact conditional.

Novel Approaches to the Analysis of Family Data in Genetic Epidemiology

Authors: --- --- ---
Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889199327 Year: Pages: 84 DOI: 10.3389/978-2-88919-932-7 Language: English
Publisher: Frontiers Media SA
Subject: Science (General) --- Genetics
Added to DOAB on : 2016-01-19 14:05:46
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Genome-wide association studies (GWAS) for complex disorders with large case-control populations have been performed on hundreds of traits in more than 1200 published studies (http://www.genome.gov/gwastudies/) but the variants detected by GWAS account for little of the heritability of these traits, leading to an increasing interest in using family based designs. While GWAS studies are designed to find common variants with low to moderate attributable risks, family based studies are expected to find rare variants with high attributable risk. Because family-based designs can better control both genetic and environmental background, this study design is robust to heterogeneity and population stratification. Moreover, in family-based analysis, the background genetic variation can be modeled to control the residual variance which could increase the power to identify disease associated rare variants. Analysis of families can also help us gain knowledge about disease transmission and inheritance patterns. Although a family-based design has the advantage of being robust to false positives, novel and powerful methods to analyze families in genetic epidemiology continue to be needed, especially for the interaction between genetic and environmental factors associated with disease. Moreover, with the rapid development of sequencing technology, advances in approaches to the design and analysis of sequencing data in families are also greatly needed. The 11 articles in this book all introduce new methodology and, using family data, substantial new findings are presented in the areas of infectious diseases, diabetes, eye traits, autism spectrum disorder and prostate cancer.

Unjust Conditions

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ISBN: 9780520296992 9780520969520 Year: Pages: 212 DOI: 10.1525/luminos.49 Language: English
Publisher: University of California Press
Subject: Gender Studies --- History --- Migration
Added to DOAB on : 2018-05-09 11:01:52
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Unjust Conditions follows the lives and labors of poor mothers in rural Peru, richly documenting the ordeals they face to participate in mainstream poverty alleviation programs. Championed by behavioral economists and the World Bank, conditional cash transfer (CCT) programs are praised as efficient mechanisms for changing poor people’s behavior. While rooted in good intentions and dripping with the rhetoric of social inclusion, CCT programs’ successes ring hollow, based solely on metrics for children’s attendance at school and health appointments. Looking beyond these statistics reveals a host of hidden costs for the mothers who meet the conditions. With a poignant voice and keen focus on ethnographic research, Tara Patricia Cookson turns the reader’s gaze to women’s care work in landscapes of grossly inadequate state investment, cleverly drawing out the tensions between social inclusion and conditionality.

Learning Dynamic Systems for Intention Recognition in Human-Robot-Cooperation

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Book Series: Karlsruhe Series on Intelligent Sensor-Actuator-Systems / Karlsruher Institut für Technologie, Intelligent Sensor-Actuator-Systems Laboratory ISSN: 18673813 ISBN: 9783866449527 Year: Volume: 11 Pages: XIV, 210 p. DOI: 10.5445/KSP/1000031356 Language: ENGLISH
Publisher: KIT Scientific Publishing
Subject: Computer Science
Added to DOAB on : 2019-07-30 20:01:58
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This thesis is concerned with intention recognition for a humanoid robot and investigates how the challenges of uncertain and incomplete observations, a high degree of detail of the used models, and real-time inference may be addressed by modeling the human rationale as hybrid, dynamic Bayesian networks and performing inference with these models. The key focus lies on the automatic identification of the employed nonlinear stochastic dependencies and the situation-specific inference.

Lie and non-Lie Symmetries: Theory and Applications for Solving Nonlinear Models

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ISBN: 9783038425267 9783038425274 Year: Pages: XII, 414 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Mathematics
Added to DOAB on : 2017-10-25 13:19:05
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Since the end of the 19th century when the prominent Norwegian mathematician Sophus Lie created the theory of Lie algebras and Lie groups and developed the method of their applications for solving differential equations, his theory and method have continuously been the research focus of many well-known mathematicians and physicists. This book is devoted to recent development in Lie theory and its applications for solving physically and biologically motivated equations and models. The book contains the articles published in two Special Issue of the journal Symmetry, which are devoted to analysis and classification of Lie algebras, which are invariance algebras of real-word models; Lie and conditional symmetry classification problems of nonlinear PDEs; the application of symmetry-based methods for finding new exact solutions of nonlinear PDEs (especially reaction-diffusion equations) arising in applications; the application of the Lie method for solving nonlinear initial and boundary-value problems (especially those for modelling processes with diffusion, heat transfer, and chemotaxis).

Die Praxis der bedingten Entlassung aus dem Strafvollzug

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Book Series: sui generis ISBN: 9783941159365 Year: Pages: 456 DOI: 10.24921/2019.94115937 Language: German
Publisher: Carl Grossmann Verlag
Subject: Law
Added to DOAB on : 2020-02-12 11:21:04
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The decision on conditional release from prison (Art. 86 – 89 SCC) is one of the most important decisions in the Swiss criminal justice system. At stake are both the freedom of the convicted person, who is to be given a chance of reintegration by the conditional release, and the security of the general public, which must be protected against the commission of further criminal offences. Despite its significance for convicted persons and the society as a whole, the practice of conditional release is scarcely discussed in Swiss literature: What is the procedure for conditional release? How do the opinions of the parties involved in the procedure influence its outcome? How do the persons responsible for conditional release exercise the discretion left to them by the law? The clarification of these issues seems all the more important given that in recent decades the number of conditional release decisions has decreased and there are considerable cantonal differences. The focus of the dissertation is on the process of decision-making by the responsible authorities in Switzerland, in particular the implementation of the right to be heard, as well as the criteria which influence the decision on the conditional release of offenders. The research is based on a representative sample of 943 criminal files from the cantons of Berne, Fribourg, Lucerne and Vaud, which are evaluated using statistical methods (logistic regression). The results of the investigation show that the responsible authorities select only a few aspects from a large number of case characteristics that largely determine their decision-making process. The decision is strongly influenced by the residency status of the convicted person, his criminal record and the opinion of the prison authorities. The legal prognosis is therefore primarily based on static factors from the past, whereas dynamic factors which the convicted person or the involved actors could influence are more secondary. In addition, it emerges that the temporal and cantonal differences in the release rates do not relate to a differing prison population, as it most often assumed, but to a different way of implementing the law and appreciating the profile of prisoners – following a more restrictive or liberal understanding and practice of the release decision – depending on time and canton. The study shows as well that there is no uniform practice for the procedure: the use of risk assessment tools, the opinions of the prison management or the organisation of the right to be heard are extremely disparate and therefore the right of the sentenced person to an equal and fair trial is not guaranteed to the same extent everywhere. The work concludes with a legal classification of the findings as well as with criminal policy considerations and proposals for a more precise reformulation of Art. 86 SCC. These should contribute to a more harmonious and broader application across cantonal borders and therefore strengthen conditional release as an efficient instrument of crime prevention.

Elements of Causal Inference

Authors: --- ---
Book Series: Adaptive Computation and Machine Learning series ISBN: 9780262344296 9780262037310 Year: Pages: 288 Language: English
Publisher: The MIT Press
Subject: Computer Science
Added to DOAB on : 2019-01-17 11:41:31
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A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning.The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-contained and concise introduction to causal models and how to learn them from data. After explaining the need for causal models and discussing some of the principles underlying causal inference, the book teaches readers how to use causal models: how to compute intervention distributions, how to infer causal models from observational and interventional data, and how causal ideas could be exploited for classical machine learning problems. All of these topics are discussed first in terms of two variables and then in the more general multivariate case. The bivariate case turns out to be a particularly hard problem for causal learning because there are no conditional independences as used by classical methods for solving multivariate cases. The authors consider analyzing statistical asymmetries between cause and effect to be highly instructive, and they report on their decade of intensive research into this problem. The book is accessible to readers with a background in machine learning or statistics, and can be used in graduate courses or as a reference for researchers. The text includes code snippets that can be copied and pasted, exercises, and an appendix with a summary of the most important technical concepts.

Nonparametric Econometric Methods and Application

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ISBN: 9783038979647 9783038979654 Year: Pages: 224 DOI: 10.3390/books978-3-03897-965-4 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Mathematics
Added to DOAB on : 2019-06-26 08:44:06
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The present Special Issue collects a number of new contributions both at the theoretical level and in terms of applications in the areas of nonparametric and semiparametric econometric methods. In particular, this collection of papers that cover areas such as developments in local smoothing techniques, splines, series estimators, and wavelets will add to the existing rich literature on these subjects and enhance our ability to use data to test economic hypotheses in a variety of fields, such as financial economics, microeconomics, macroeconomics, labor economics, and economic growth, to name a few.

Financial Econometrics

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ISBN: 9783039216260 9783039216277 Year: Pages: 136 DOI: 10.3390/books978-3-03921-627-7 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Economics
Added to DOAB on : 2019-12-09 11:49:15
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Financial econometrics has developed into a very fruitful and vibrant research area in the last two decades. The availability of good data promotes research in this area, specially aided by online data and high-frequency data. These two characteristics of financial data also create challenges for researchers that are different from classical macro-econometric and micro-econometric problems. This Special Issue is dedicated to research topics that are relevant for analyzing financial data. We have gathered six articles under this theme.

Ensemble Forecasting Applied to Power Systems

Authors: ---
ISBN: 9783039283125 9783039283132 Year: Pages: 134 DOI: 10.3390/books978-3-03928-313-2 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2020-04-07 23:07:09
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Modern power systems are affected by many sources of uncertainty, driven by the spread of renewable generation, by the development of liberalized energy market systems and by the intrinsic random behavior of the final energy customers. Forecasting is, therefore, a crucial task in planning and managing modern power systems at any level: from transmission to distribution networks, and in also the new context of smart grids. Recent trends suggest the suitability of ensemble approaches in order to increase the versatility and robustness of forecasting systems. Stacking, boosting, and bagging techniques have recently started to attract the interest of power system practitioners. This book addresses the development of new, advanced, ensemble forecasting methods applied to power systems, collecting recent contributions to the development of accurate forecasts of energy-related variables by some of the most qualified experts in energy forecasting. Typical areas of research (renewable energy forecasting, load forecasting, energy price forecasting) are investigated, with relevant applications to the use of forecasts in energy management systems.

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