Miracle-dz/UniFAR-FTUs huggingface dataset:
Visualización de grandes volúmenes vía bricking y texturas 3D

This work studies large volume visualization when bricking techniques and 3d texture approaches are combined. The information got for the medical devices is bigger every day and we find problems at the moment of trying to visualize them interactively. Sometimes, volume required memory exceeds gpu capacity and that prevents its visualization. Among the different techniques of volume visualization and specially large volume treatment, we have chosen to implement 3D textures and bricking to evaluate their performance in terms of visual quality and speed of the combination of both techniques. 3D textures are chosen because they take most advantage from GPU than anyother technique, and bricking is chosen because its visualizations is identical to original volumen visualization if it would fit in memory. Provided that we work with medical information we want the visualizations will be exact. We have got encouraging results and they invite us to continuing working.
Research on Audio Mixing Technology in Video Conference

In video conference,audio processing is basic and requires the highest real-time criterion,and audio mixing is an important function of audio processing,it′s also a difficulty which is unsolved satisfactorily in many video conference systems presently,moreover,much stress is laid on audio mixing and audio mixing scheme is neglected illogically.According to this problem,two audio mixing schemes and some crucial technology in audio mixing are presented in this paper.In the end,a contributing-weighted algorithm is given to solve the overflow of audio mixing,the rationality of this algorithm is tested by the experiments.
Exploring young consumers’ trust and purchase intention of organic cotton apparel

Purpose The purpose of this study is to examine the effects of corporate social responsibility (CSR) reputation, product price and organic label on consumers’ perceptions of quality, trust and purchase intentions of organic apparel products by surveying American young consumers. Design/methodology/approach An intercept survey approach was used to administer a written questionnaire to a sample of college students. The experiment is a 2 (CSR reputation: poor vs good) × 2 (price: low vs high) × 2 (organic label: absent vs present) factorial design. Findings The results of our study suggest that retailers’ CSR reputation had a significant positive effect on perceived quality, consumer trust and purchase intentions, and price had a negative impact on consumers’ purchase intentions. Results also revealed a significant three-way interaction among the three independent variables on perceived quality and consumer trust. Originality/value This research is the first empirical effort to investigate the key factors that may influence young consumers’ perceptions of quality, trust and purchase intentions of organic products by considering joint use of CSR reputation, product price and an organic label, which represents a realistic buying condition. Consequently, the findings of this study represent an important step forward in better understanding consumers’ buying behavior toward green products.
ESG and Corporate Credit Spreads

PurposeThe authors investigate the implications of environmental, social and governance (ESG) practices of firms for the pricing of their credit default swaps (CDS). In doing so, the authors compare European and US firms and consider nonlinear and indirect effects. This complements the previous literature focusing on linear and direct effects using bond yields and credit ratings of US firms.Design/methodology/approachFor this purpose, the authors apply fixed effects regressions on a comprehensive panel data set of US and European firms. Further, nonlinear and indirect effects are investigated utilizing quantile regressions and a path analysis.FindingsThe evidence indicates that higher ESG ratings mitigate credit risks of US and European firms from 2007 to 2019. The risk mitigation effect is U-shaped across ESG quantiles, which is consistent with opposing effects of growing stakeholder influence capacity and diminishing marginal returns on ESG investments. The authors further reveal a mediating indirect volatility channel that substantially amplifies the direct effect of ESG on credit risk. A one-standard-deviation improvement in ESG ratings is estimated to reduce CDS spreads of low, medium and high ESG firms by approximately 4%, 8% and 3%, respectively.Originality/valueThis is the first study to examine whether credit markets reflect regional differences between Europe and the US with regard to the ESG-CDS-relationship. In addition, this paper contributes to the existing literature by investigating differences in the response of CDS spreads across ESG quantiles and to study potential indirect channels connecting ESG and CDS spreads using structural credit risk variables.
Data Storage in Cloud Based Real-Time Environments

The service oriented infrastructures for real-time applications (“real-time clouds*”) pose certain unique challenges for the data storage subsystem, which indeed is the “last mile” for all data accesses. Data storage subsystems typically used in regular enterprise environments have many limitations which impedes its direct applicability for such clouds particularly in its ability to provide Quality of Service (QoS) for applications. Provision of QoS within storage is possible through a deeper understanding of the behaviour of the storage system under a variety of conditions dictated by the application and the network infrastructure. We intend to arrive at a QoS mechanism for data storage keeping in view the important parameters that come into play for the storage subsystem in a soft realtime cloud environment.
Distributed Wavelet Compression in Wireless Sensor Networks

This paper proposed distributed and simplified distributive wavelet data compression algorithm basing on lifting factorization for reducing transmission energy consumption in wireless sensor network,where each of the sensors has limited power.Simplified lifting scheme,parallel and distributed computing is been introduced to eliminate extra transmissions and reduce computation complexity in every sensor node that wavelet transform needed.This approach can exploit the inherent correlations that exist between sensor readings and significantly reduce transmission costs.The simulation results showed that the proposed method perform well in energy saving without sacrificing the quality of the data reconstruction.
A Theoretical and Empirical Comparison of Systemic Risk Measures: MES versus CoVaR

We derive several popular systemic risk measures in a common framework and show that they can be expressed as transformations of market risk measures (e.g., beta). We also derive conditions under which the different measures lead to similar rankings of systemically important financial institutions (SIFIs). In an empirical analysis of US financial institutions, we show that (1) different systemic risk measures identify different SIFIs and that (2) firm rankings based on systemic risk estimates mirror rankings obtained by sorting firms on market risk or liabilities. One-factor linear models explain most of the variability of the systemic risk estimates, which indicates that systemic risk measures fall short in capturing the multiple facets of systemic risk.
Application of one-class support vector machine in tobacco leaves selection

In order to solve the problem on substitute of tobacco leaves in cigarette blend, a model for selecting tobacco leaves based on one-class support vector machine was proposed. The principle of the model was introduced, and the primary factors influencing the veracity of the model were discussed, then an optimization strategy for the model was presented by joint optimizing of feature selection and parameters for support vector machine. A case study demonstrates that the model could identify the comparability of tobacco leaves according to the measured data of the chemical components of tobacco leaves, which makes it possible to carry out intelligent selection for tobacco leaves.
Compressed sensing video processing based on stagewise weak selection and backtracking

The widespread use of mobile video raises higher requirements for video coding. As video coding can be seen as a Simultaneous Sparse Approximation (SSA) problem, a novel algorithm called Backtracking Simultaneous Stagewise Orthogonal Matching Pursuit (BSStOMP) is proposed in the paper. The algorithm can obtain multiple atoms with highly comprehensive correlation at each iteration through simultaneous stagewise weak selection. Moreover, in order to improve recovery quality, local backtracking strategy is employed to optimize the selected atoms. The experiments results verified the effectiveness and practicality of our algorithm.
Detecting Earnings Management: A Foreign Exchange Losses (FEL) Model

Foreign exchange losess bear some pressures for numerous companies in Indonesia particularly for those having liabilities denominated in foreign currencies. This occurs when Indonesian Rupiah (IDR) current exchange rate has weakened against foreign currencies. Related to those phenomenon, this study aims to investigate model earnings management actions using foreign exchange losses (FEL) which provides a method for the detection of earnings management. By employing a quantitative approach, this study used secondary data of financial statements. The data were collected from 50 companies with the largest market capitalisation, 50 of the most active companies based on trading volume, 50 of the most active companies based on the value of trade and 50 of the most active companies by frequency trading. Totally, 200 public companies listed in Indonesia Stock Exchange were gained as the data based on IDX statistical report 2013. The results identify that FEL model is capable to detect earnings management from a transaction in foreign exchange losses. However, the model cannot capture the phenomenon of earnings management if the company does not own or reported long-term debt and profit/loss on foreign exchange. To prove whether the manager will perform earnings management from FEL, it is suggested to conduct further research using the hypothesis of positive accounting theory (PAT).
Networking link enhancement with minimum costs

One-, two-, and three-way linear search algorithms that are used to find the optimal link enhancement strategy for a given investment are discussed, and solutions to examples of each are presented. The best-of-group heuristic algorithm (BGH), which finds sets of solutions and selects the best one, is proposed. A comparison of solutions found using the heuristic algorithm to those found using the optimal algorithm indicates that the heuristic provides exactly the same solution as the optimal algorithm does in 79.68% of the cases. <<ETX>>
Rozwój konkurencji na rynku usług transportowych - uwarunkowania i kierunki

Celem opracowania bylo wskazanie uwarunkowan i kierunkow rozwoju konkurencji na rynku uslug transportowych, glownie w ujeciu miedzygaleziowym. W artykule omowiono istote konkurencji wewnątrzgaleziowej i miedzygaleziowej w odniesieniu do rynku uslug transportowych, konkurencyjnośc ex post i ex ante na rynku uslug transportowych oraz kierunki rozwoju konkurencji na rynku uslug transportowych.
Information Value of the Credit Rating on the Credit Default Swaps Market

The paper examines the impact of the countries’ credit ratingschanges on the cost of credit defaults swaps premium. It is assumed statisticalsignificance abnormal returns due to changes in credit ratings assignedby the agencies. It is has been put the hipothesis that ratings events convey newinformation and lead to significant abnormal reactions. The study usedthe ratings assigned by Standard & Poor's and Moody's for the period fromJanuary 2005 to November 2015 and spreads for five-year senior unsecuredCDS. To verify the hypothesis the event study method (by daily data) isapplied.
New Expectation Maximization Segmentation Pipeline in Slicer 3

Many neuroanatomy studies rely on brain tissue segmentation in Magnetic Resonance images (MRI). The Expectation-Maximization (EM) theory offers a popular framework for this task. We studied the EM algorithm developed at the Surgical Planning Laboratory (SPL) at Harvard Medical School and implemented in the Slicer3 software. We observed that the segmentation lacks accuracy if the image exhibits some intensity inhomogeneity. Moreover the optimum parameters are challenging to estimate. This document aims at describing our solutions within the context of statistical modeling. Our contributions range from algorithm improvements to novel representations of the statistical distribution model. First we added a bias field correction module and exposed the most significant parameters. Second we proposed a new way to select the distribution of the tissues to be segmented. Finally we designed a set of interactive tools to make the segmentation process easier and more accurate. To validate the new segmentation pipeline, we performed our experiments on MRI data and a clinical expert evaluated our results.The source code developed for this work, i.e. the code of the MRIBiasFieldCorrection and EMSegment modules, is part of Slicer3 version 3.5 and can be downloaded by this command: svn co http://svn.slicer. org/Slicer3/trunk Slicer3
The Effects of the 2010 Chilean Natural Disasters on the Stock Market

The 2010 Chilean earthquake and tsunami were among the strongest in the world history. The exogeneity of these natural disasters provides the opportunity to test stock price reactions. Using a sample of 42 firms listed in the Santiago Stock Exchange, we develop an event study methodology considering heterogeneity in volatility. Chilean stock market volatility increased by 240% (120%) during the 5 (11) trading days after the earthquake. The results are informative about the behavior of the stock prices: returns are positive in sectors the retail, real estate, and banking sectors and negative in food, steel, and forestry. Insurance coverage decreases the impact on economic growth.
The potential of the University of the Free State QwaQwa campus to enable growth of the economy of QwaQwa

This article explores how universities can contribute to the economy of the area within which they are situated, focusing on the University of the Free State QwaQwa campus. This topic was investigated by analysing the local economy within which the QwaQwa campus is located, a spatial analysis of the campus itself, and interviews with local business owners. First, the article demonstrates how an analysis of the local economy could assist in aligning the university offerings with the dynamics of the local area. It specifically argues for a focus on agricultural and wider commerce-related course offerings. Secondly, an argument is made for leasing or developing the vacant land on campus for non-university-related functions such as middle-income housing or a lowto medium-fee private school. The purpose of such an initiative would be to cross-subsidize the development costs of expanding and improving the QwaQwa campus. Thirdly, through interviews with local business owners, various arguments are made for how the university could better engage with local businesses. These ranged from providing training, disseminating research, increased procurement, and making space for local businesses on campus. Through these arguments, a narrative shows that part of being an engaged university is being aware of, and responding to the needs of the economy within which a campus is located.
Exploring alternative approaches to entrepreneurial exporting: internationalization through an effectual lens

ABSTRACT In 2017 EU exports supported 36 million jobs in the EU. Furthermore, it was estimated that on average each billion euro of extra-EU exports supported more than 13,000 jobs in the EU Exporting is widely viewed as one of the key drivers of economic growth and many traditional approaches have been applied to engender greater levels of exporting by indigenous enterprises. However, Sarasvathy [(2001). Causation and effectuation: Toward a theoretical shift from economic inevitability to entrepreneurial contingency. Academy of Management Review, 26, 243–263, (2013). An effectual approach to international entrepreneurship: Overlaps, challenges and provocative possibilities. The Journal of Entrepreneurship Theory and Practice, 71–95] on ‘Effectuation’ suggests that an alternative approach to achieving entrepreneurial growth might be possible. This article seeks to address a gap in existing literature regarding the relationship between exporting and effectuation.
Perceptual model for assessment of coded audio.

Non-linearity in the human ear can cause audible distortion not present in the original signal. Such distortion is generated within the ear by inter-modulation of a spectral complex, itself containing possible masked components. When psychoacoustic codecs remove these supposedly masked components, the in-ear-generated distortion is also removed, and so our listening experience is modified. In this paper, the in-ear distortion is quantified and a method suggested for predicting the in-ear distortion arising from an audio signal. The potential performance gains due to incorporating this knowledge into an audio codec are assessed.
The Heidelberg University English-German translation system for IWSLT 2015

We describe Heidelberg University’s system for Englishto-German translation of transcribed TED talks. Our system follows the hierarchical phrase-based paradigm [1]. We only used data allowed within the constrained track. Consistent gains were found using our in-house implementation of automatic source-side reordering, as well as large-scale tuning with a large, lexicalized feature set. We also confirm the success of large class-based language-models. We describe the Heidelberg University (hdu) submission to the IWSLT 2015 evaluation. We submitted a system for translating transcribed English TED talks into German, using only data permitted within the constrained track. We focus on improving a hierarchical phrase-based system by adding large language models and thousands of sparse, lexicalized features tuned on a large in-domain data set. We further incorporated syntactic knowledge through source-side reordering and k-best rescoring with language models based on syntactic annotations. The paper is organized as follows: Our baseline setup is described in Section 2. Section 3 then explains our training pipeline and evaluates the contributions of each step. In Section 4, we show that scaling up the feature set and training a parallelized pairwise ranking optimizer on a larger development set further improves our system. We also conduct ablation experiments for different feature templates. Section 5 describes the integration of various external knowledge sources via k-best rescoring.
Innovation and viability in the retail service ecosystem: nudges from DITRON’s history and evolution

Purpose – This work analyses the retail sector in a service ecosystem perspective. Its purpose is to empirically investigate how the adoption of a new technology can contribute to generate conditions of value co-creation (Storbacka et al., 2016) and to improve the efficiency and effectiveness of the system considered as a whole, through new shared logics and rules, institutions, used by actors to coordinate actions (Lusch, Nambisan, 2015) to survive. The concept of innovation has been considered as the starting point to analyse how actors react in order to adapt to changes in their context and re-define their value proposition (Vargo et al., 2008). Design/Methodology/approach – This study proposes a re-reading of retailing, complex context with many heterogeneous interrelated and interconnected actors, as a service ecosystem, with some suggestions by the VSA literature. It has been carried out through a case-study analysis. Findings – This work highlights how the exchange of resources between actors, and the value cocreated by them, can define new rules to shape the market. Specifically, both the new technology introduced and the innovation, depending by it and defined by market interactions, provide new institutions, guided by value co-creation processes (Vargo et al., 2015). According to this approach, the innovation is possible thanks to the re-configuration or the new generation, from a structural point of view, of relationships, resources and roles, as well as, from a dynamic point of view, to new forms of resources integration. These new forms of resources integration allow new value co-creation processes (Mele et al., 2010) that stimulate the emergence of institutions influencing the survival of each actor. Research implications – These results have practical managerial implications in terms of service and decision make processes. To provide a service new specific skills, developed and trained by each actor, are needed and decisions depend on new resources to integrate. Originality/value – In literature retailing has been studied not enough through the service ecosystem perspective. This work clarifies the interconnection between innovation and viability deepening on the concept of institutions. Thanks to these findings, we can match the Service Ecosystem literature with Viable Systems Approach, in fact institutions may be considered as tools to be resonant with the context and value co-creation as a driver for the viability.
Research of adaptive features of industrial enterprise crisis management system

Currently, there is a significant decrease of industrial production level in Russia. The Russian economy has entered a recession, a moderate economic downturn, which will last at least until 2020. In 2019, analysts predict a decline in turnover for the equipment manufacture by 10%. At the same time, banks, having studied the market, give forecasts from 15 to 25 %. Retailers predict a decline in turnover of up to 30%. In this economic environment the researched enterprise JSC “R&D Zenith” will have to reduce production volumes. The article deals with the main features of the crisis management system at the enterprise such as flexibility and adaptability. The authors describe the method of analysis of the adaptive features of the crisis management system of the industrial enterprise, taking into account the specifics of its activities. This method is based on the key factors of the enterprise activity, which affect the adaptive features of the crisis management system, the nature of their changes and the relationship between them.
THE AWARENESS OF ENVIRONMENT CONSERVATION BASED ON OPINION DATA MINING FROM SOCIAL MEDIA

Social media has become an important role in society and people widely use social media platforms to express and criticize their opinion. With the previous studies, there is much research to develop and harvest information and knowledge from social media data for decision making and prediction. The awareness of environmental conservation has become a significant issue nowadays and building and raising environmental awareness is to conserve and protect nature for the benefits of humans. Opinion mining is one of text mining approaches to assess the attitude in a given subject and the attitude may be positive or negative opinion. The paper proposes to conduct social media opinion mining in case of the awareness of environment conservation of Thai people. This study shows that social media effects to build and raise the awareness of environment protection and furthermore this research can apply to other fields and industries aspects as well.