Miracle-dz/UniFAR-FTUs huggingface dataset:
A multiple-imputation analysis of a case-control study of the risk of primary cardiac arrest among pharmacologicallytreated hypertensives

SUMMARY A multiple-imputation method is developed for analysing data from an observational study where some covariate values are not observed. A hybrid approach is presented where the imputations are created under a Bayesian model involving an extended set of variables, although the ultimate analysis may be based on a regression model with a smaller set of variables. The imputations are the random draws from the posterior predictive distribution of the missing values, given the observed values. Gibbs sampling under an extension of the Olkin-Tate general location-scale model is used for the imputation. The method proposed is used to analyse data from a population-based case-control study investigating the association between drug therapy and primary cardiac arrest among pharmacologically treated hypertensives. The sensitivity of the inference to the assumptions about the mechanism for the missing data is explored by creating imputations under several non-ignorable mechanisms for missing data The sampling properties of the estimates from the hybrid multiple-imputation approach are compared with those based on the complete data and maximum likelihood approaches through simulated data sets. This comparison suggests that much efficiency can be gained through the hybrid approach. Also, the multiple-imputation approach seems to be fairly robust to departures from the assumed normality unless the actual distribution of the continuous covariates is very skew.
Volumetric modulated arc therapy (VMAT) : advanced delivery techniques for static and moving targets

TECHNIQUES FOR STATIC AND MOVING TARGETS _______________________________________ A Dissertation presented to the Faculty of the Graduate School at the University of Missouri-Columbia _______________________________________________________ In Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy _____________________________________________________ by SWETHA ODDIRAJU Dr. Dharanipathy Rangaraj, Dissertation Supervisor Dr. Lech Papiez, Dissertation Co-Supervisor Dr. Sudarshan Loyalka, Dissertation Co-Supervisor
Temporal and Topological Analysis of Open Source Software Networks

by Matthew Van Antwerp This document presents work examining Open Source Software (OSS) project and developer networks, built from Concurrent Versions System (CVS) log data, from topological and temporal perspectives. Statistical analysis, visualizations, and comparison of two major OSS communities are presented. One aspect of this study is the nature of developer ties, how repeat ties affect long-term project popularity and development on SourceForge, as well as the distributions of various temporal measurements. Lastly, we examine evolutionary trends of the collaboration network. Network slices in yearly increments are analyzed to determine how centralities change from year to year, where new developers and projects join the network, and the change in modularity and number of communities in each network.
A Design of an Improved Linguistic Model based on Information Granules

In this paper, we develop Linguistic Model (LM) based on information granules as a systematic approach to generating fuzzy if-then rules from a given input-output data. The LM introduced by Pedrycz is performed by fuzzy information granulation obtained from Context-based Fuzzy Clustering(CFC). This clustering estimates clusters by preserving the homogeneity of the clustered patterns associated with the input and output data. Although the effectiveness of LM has been demonstrated in the previous works, it needs to improve in the sense of performance. Therefore, we focus on the automatic generation of linguistic contexts, addition of bias term, and the transformed form of consequent parameter to improve both approximation and generalization capability of the conventional LM. The experimental results revealed that the improved LM yielded a better performance in comparison with LM and the conventional works for automobile MPG(miles per gallon) predication and Boston housing data.
Impact of ‘Green’ Product Label Standards on Consumer Behaviour: A Systematic Review Analysis

There have been controversies surrounding the actual effect of ‘green’ product labels in influencing consumers towards eco-friendly behaviours. While some claim that the proliferation of private business standards are confusing rather than assisting eco-friendly consumers in their green purchasing decisions, others posit that it has had significant positive effect in influencing consumers towards ‘green’ purchasing. Still yet, some others found neutral effect of ‘green’ labels on consumer behaviour. The objective of this critical review is to determine if available evidencebased studies on the use of ‘green’ labels support or contradict the above claims, using a systematic review approach. This review adopted an analytical framework developed by Gupta et al. (2006) for modeling the impact of business programs on customer lifetime value (CLV). The result of the analysis confirmed varied effect of eco labels among different classes of consumers and for different products in developed and developing economies. Further evidence abounds of both positive impacts (customer acquisition and sustained patronage of eco-labelled products) and negative impacts (confusing/discouraging consumers due to generic information or high price of eco-labelled products). There is also little evidence of no impact, which suggests that eco-labels alone may not be sufficient to influence consumer behaviour. Further empirical research on the impact of eco-labels on product utilization and disposal was recommended. International Journal of Academic Research in Business and Social Sciences Vol. 8 , No. 9, Sept. 2018, E-ISSN: 2222-6990 © 2018 HRMARS 668
Investor sentiment and stock market behavior : empirical tests on the Finnish stock market

Subject Accounting and Finance Date 17.12. 2010 Author(s) Ilja Ripatti Student number Number of pages 114pp. + appendices Title Investor sentiment and stock market behavior: Empirical tests on the Finnish stock market Supervisor(s) Professor Mika Vaihekoski D.Sc (Econ.) Antti Fredriksson
Flexible Workflow Management System Based on Reflection Technology

In complex and diversified application context, flexibility is one of the key issues of workflow technology. As an important approach to improve the flexibility of system,reflection is also available to Workflow Management System (WfMS) . This paper reifies the workflow process and its management respectively from structural and behavioral aspects,and as a result,a reflective model of workflow is designed. A model of Meta-Object Protocol (MOP) is proposed to abstract and program on meta-level, including protocol declaration, meta-object association, protocol selection and meta-object management. The typical instance evolution example shows that reflection is effective to improve the flexibility and adaptability of WfMS. The implementation of reflection is presented in the paper.
NSAP—A network storage access protocol for transparent computing

A reliable and efficient network storage access protocol is essential for transparent computing.Current protocols,such as TFTP,FTP and iSCSI,can not be employed when the system experiences severe environmental demands and function limits.Therefore,a network storage access protocol(NSAP) was developed which sits above the UDP/IP to provide reliable network storage access at the granularity of a disk block in a local area network(LAN). The NSAP provides straightforward communication management and condensed storage access functions.Test results demonstrate that the NSAP provides a feasible storage access solution for transparent computing in severe environments.
Characterisation of structural similarities of precipitates in Mg–Zn and Al–Zn–Mg alloys systems

ABSTRACT High angle annular dark field scanning transmission electron microscopy has been employed to observe precipitate structures in Al–Zn–Mg and Mg–Zn alloys. precipitate structures in Al–Zn–Mg are commonly formed by MgZn2 Penrose bricks, but also frequently observed to incorporate Mg6Zn7 elongated hexagons via two different modes. Tilings of MgZn2 and Mg6Zn7 building blocks in both in Mg–Zn and in Al–Zn–Mg alloys, create overall patterns which deviate from the chemical and structural configuration of solely monoclinic Mg4Zn7 or MgZn2 unit cells. Precipitate morphologies were found to be correlated to their internal sub-unit cell arrangements, especially to Mg6Zn7 elongated hexagons. Systematic or random arrangements of Mg6Zn7 elongated hexagons inside precipitates and therefore compositional and structural patterns, were found to be strongly related to the aspect ratio of the precipitates and altering of the precipitate/matrix interfaces. GRAPHICAL ABSTRACT
A note on the effects of skill-biased technical change on productivity flattening

This paper examines the role of skill-biased technical change (SBTC) in the flattening of productivity growth and its effects on hours worked. We employ a structural macroeconometric analysis based on comprehensive micro data. The results show that 69 percent of the slowdown in productivity growth in Germany since the early 2000s can be explained by the flattening of SBTC. Furthermore, skill-biased technology shocks reduce hours, whereas skill-neutral technology shocks have a positive effect on hours in the long run.
Automatic test data generator: A tool based on search-based techniques

Software Testing is the most time consuming activity in the software development lifecycle. It is impossible to test everything. Hence, several automated test data generation techniques have been introduced in recent times in order to reduce the effort spent during testing. Search based techniques have been found to be more efficient than normal or random testing. In this paper, we propose to demonstrate the designing framework, implementation and explore the capabilities of a tool to aid in the generation of test data. Our tool is based on generating the optimal set of test cases based on the user defined coverage criteria. We have implemented the system in C++ language and have restricted ourselves to the use of command line interface. We provide the path as well as the test cases generated to the tester making his work of testing a lot easier.
On Alan Turing and the Origins of Digital Computers

This paper documents an investigation into the role that the late Alan Turing played in the development of electronic computers. Evidence is presented that during the war he was associated with a group that designed and built a series of special purpose electronic computers, which were in at least a limited sense ‘program controlled’, and that the origins of several post-war general purpose computer projects in Britain can be traced back to these wartime computers.
Features Navigation for Chinese Text Mining

Text mining depends on finding out the latent concepts and relationships between themselves from the original texts. The mechanism of text feature extraction was studied based on the factor analysis. The text features were extracted by identifying the latent conceptual structures,and they can be used to improve the skew intersection on the vector space models. The mechanism of visualization navigation was exposed based on the conceptual structures in the text which hierarchically display the content of texts according to users′ interests.
Ab initio study of the ground and first excited states of the van der Waals complex ArHF and a possibility of fluorine anion from the excited state

Ab initio study have been performed for this van der Waals complex ArHF using the multi-reference single and double excitation configuration interaction (MRSDCI) method to determine the spectroscopic constants of the ground and first excited states. The excited state results are found to be new in literature. A possibility of a fluorine anion from the excited ionic state (ArHF)* formed by Ar colliding with an excited ionic state of HF has also been examined.
Object Oriented Software Engineering Practical Software Development Using Uml And Java

Thank you very much for reading object oriented software engineering practical software development using uml and java. As you may know, people have search hundreds times for their chosen books like this object oriented software engineering practical software development using uml and java, but end up in infectious downloads. Rather than enjoying a good book with a cup of coffee in the afternoon, instead they juggled with some infectious bugs inside their desktop computer.
The health impacts of a community biogas facility in an informal Urban settlement: does training matter?

ABSTRACT Community biogas facilities are being implemented in many informal urban settlements across Africa, often funded by foreign aid. We measured the public health impacts of a facility in Ethiopia, particularly the effects of training, in the context of extreme poverty. Two waves of panel-data were generated by household surveys (N = 200 per wave), informed by participatory focus groups, and a propensity-score matching technique was applied. After controlling for household distance from the facility, training itself generated positive effects on health including use of improved sanitation facilities and self-assessed health. We conclude that training should be considered a key component in biogas development.
Integration of PC-based 3D immersion technology for bio-mimetic study of human interactive robotics

Two novel immersion type experimental platforms integrating low cost PC-based 3D VR technology are developed and actively used for bio-mimetic study on new paradigm of human interactive robotics. The first platform integrated PC-based immersion-type display with a motion capture system as well as a 3D dynamic simulator, which makes it possible for human subject to feel as if he/she is immersed within the same environment of the robot. It can be used to simulate and evaluate the physical interaction with human while not really damage him/her. The second one consists of real and virtual dual-arm robot equipped with vision and force sensors. Through force display and HMD, human operator can feel as if he/she is immersed within the robot body and perform tele-manipulation easily based on our unilateral control approach.
A unified system of type refinements

Types express properties of programs; typechecking is specification checking. However, the specifications expressed by types in conventional type systems are imprecise. Type refinements address this by allowing programmers to express more precise properties, while keeping typechecking decidable and practical. We present a system of type refinements that unifies and extends past work on datasort and index refinements. We provide unified mechanisms of definite types, such as intersections, and indefinite types, such as unions. Through our development of contextual typing annotations, the tridirectional rule, and let-normal typechecking, we achieve a type system that is expressive and practical, requiring no user input besides type annotations. We show that our implementation of the type system can check several data structure invariants, as well as dimension types (an instance of invaluable refinements), in a subset of Standard ML. To the ones who had a notion, a notion deep inside
SOCIAL STUDIES LEARNING FOR THE DEVELOPMENT OF EMPATHIC AWARENESS

The background of this research is the tendency of emphatic awareness learning that is being overlooked in the social studies in schools. The main problem addressed in this research is the social studies learning for the development of emphatic awareness of student of elementary school level in Bandung.The objectives of this research are (1) to design a model of social studies learning program for the development of emphatic awareness of fifth-grade students of elementary school in Bandung, (2) to test the effectiveness of the learning program, and (3) to identify difficulties encountered by elementary school teachers in developing social studies learning for the development of emphatic awareness of fifth-grade students. The methodology of this research is using multi method approach with two-phase designs model or double research strategy. After the research is conducted, based on analysis and discussion of the phase 1 result of limited testing, a stable emphatic awareness learning model was found, then focusing revision in cycle. The early model in product testing was conducted by using pair t-sampling. The result shows that social studies learning model using story telling method is effective in developing emphatic awareness of student in all indicators. The difficulties faced by teachers are more related to the level of understanding of emphatic awareness, creativity, and innovation level which are not optimum. Based on the analysis and discussion and the result of the research, the general conclusion is the development study have met the objective. Emphatic awareness learning model can be applied through planing management and implementation of learning through storytelling method which have high applicability rating with a favorable result and has good implication theoretically and practically. The proposed recommendations are beneficial for model application and for further studies.
Estudio de rentabilidad para el lanzamiento de un nuevo producto aplicando el enfoque difuso

El canton Gualaceo Provincia del Azuay-Ecuador eminentemente productor de calzado, donde sus artesanos han visto la necesidad de introducir en el mercado, un nuevo modelo de este producto, por tal razon, en un estudio anterior se desarrollo una metodologia de avanzada (STIM12) para el diseno de una bota para dama. En este articulo se demuestra la rentabilidad para comercializar en el mercado Gualacense este modelo novedoso de calzado para mujer con la utilizacion de la logica difusa (fuzzy-set), la metodologia hace referencia a la aplicacion de herramientas de avanzada como alfa cortes en los datos obtenidos de los expertos artesanos del calzado; y, la aplicacion de numeros borrosos triangulares (NBT) en forma de intervalos (bandas) con el proposito de trabajar a ciertos niveles de posibilidad de que ocurra el fenomeno. Con ello se entrega un nuevo conocimiento a los artesanos de calzado del canton Gualaceo, cuyo proposito es determinar la rentabilidad de un novedoso producto a ofertar, bajo un enfoque diferente al tradicional. ABSTRACT Profitability study for the launch of a new product applying the diffuse approach Gualaceo canton of the Province of Azuay,Ecuador is characterized as eminently producer of footwear, where its artisans have seen the need to introduce in the market, a new model of this product, for such reason, in a previous study an advanced methodology was developed (STIM12) for the design of a lady's boot. This article demonstrates the profitabilityin the Gualacense market this novel model of footwear for women with the use of fuzzy-set, the methodology refers to the application of advanced tools such as alpha cuts in the data obtained from the footwear expert artisans; and, the application of triangular fuzzy numbers (NBT) in the form of intervals (bands) with the purpose of working at certain levels of possibility of the phenomenon occurring. With this, new knowledge is given to footwear artisans from the Gualaceo canton, with the purposeof determining the profitability of a novel product to be offered, under a different approach to the traditional one. Keywords: Diffuse approach, study of profitability, new product.
Image Privacy Protection for Online Storage Using Adaptive Security Model

The image security has been very important concern in the modern area of internet. The security breach may hurt the privacy of the users, which can be also used for the social de-facing of specific person, whom image data has been hacked. The image security also becomes very important in the case of digital media creation companies, who always stay concerned with the copyright protection. The proposed model has been designed in the double layered mechanism for the image security. The proposed model has been designed to protect the both personal data of users and digital media company image data. The proposed model has been designed to protect the user privacy as well as the copyright protection for the user data and digital data, respectively. Our approach offers the double layered encryption mechanisms over the image using the blowfish algorithm. The blowfish algorithm has been found very efficient and quick during our literature survey on the image encryption model, but it carries a little security loophole against the cryptanalysis attacks, which has been mitigated through the double layered mechanism proposed in this paper for the purpose of the image security. The proposed model has been combined with the visual distortion controller method, which directly applies the blur over the image to hide the visual details of the image. The proposed model has been found efficient in comparison with the existing models in the terms of speed and throughput.
Fatores Associados à Evasão no Ensino Superior Brasileiro: um estudo de análise de sobrevivência para os cursos das áreas de Ciência, Matemática e Computação e de Engenharia, Produção e Construção em instituições públicas e privadas

Resumo A escassez de profissionais do campo das ciências naturais e engenharias atinge diversos países. No Brasil, uma das causas para esse fenômeno é a alta evasão de estudantes de cursos de ensino superior dessa área. Em função dos cursos das instituições públicas e de parte significativa dos empréstimos e bolsas de estudo ofertadas no ensino privado serem custeados por recursos governamentais, torna-se importante avaliar os motivos que causam o elevado abandono. Portanto, o objetivo deste artigo consiste em analisar variáveis que influenciam na evasão. O método utilizado é o de Análise de Sobrevivência, por meio das bases de dados do Censo da Educação Superior dos anos de 2009 a 2014. Como resultado, percebe-se que a evasão é maior nas instituições privadas. Ser homem e ter mais idade diminui o tempo de vida do indivíduo no ensino superior, enquanto que alunos contemplados com apoio financeiro apresentam uma maior retenção.
Latent Topic Based Medical Data Classification

— This paper discusses the classification process for medical data. In this paper, we use the data from ACM KDDCup 2008 to demonstrate our classification process based on latent topic discovery. In this data set, the target set and outliers are quite different in their nature: target set is only 0.6% size in total, while the outliers consist of 99.4% of the data set. We use this data set as an example to show how we dealt with this extremely biased data set with latent topic discovery and noise reduction techniques. Our experiment faces two major challenge: (1) extremely distributed outliers, and (2) positive samples are far smaller than negative ones. We try to propose a suitable process flow to deal with these issues and get a best AUC result of 0.98.
Research and Application of BP Neural Network Improvement Algorithm

The paper first introduced the advantages and weakens of traditional neural network BP algorithm, and then proposed a new BP neural network improvement algorithm based on existing BP algorithm and simulated annealing algorithm, considering the simulated annealing algorithm can get optimal approximation by searching local, which can BP algorithm not to trap into local minimum. Finally, the improved BP algorithm was applied into Stock forecast, which enhances the forecast greatly and reduces the investment risk.