Miracle-dz/UniFAR-FTUs huggingface dataset:
MODERN MANAGEMENT CONCEPTS IN SLOVENIAN AND AUSTRIAN COMPANIES: AN EMPIRICAL RESEARCH

This article presents the results of an empirical research carried out in medium and largesized Slovenian and Austrian companies. The research was performed in cooperation with University of Technology Graz. The main aim of this research was to ascertain the state or the degree of presence of modern management concepts, like knowledge management, value management and virtual companies in Slovenian companies, respectively. Thanks to the simultaneous research, taking place in Austria, we were given the opportunity to compare the situation with their companies. Despite our initial expectations of greater difference between Slovenian and Austrian companies, especially because of economic and political history of both countries, it turned out that the situation in companies is very similar and that there are only some minor differences.
In pursuit of a foundational accountancy philosophy

Recent accounting history is characterised by many developments, including several high-profile corporate failures, such as Enron, Parmalat and even Saambou, as well as major developments in financial reporting standards, such as the broadbased acceptance of international financial reporting standards and the convergence efforts between the UK-based International Accounting Standards Board and the US-based Financial Accounting Standards Board. As a result, long-accepted accounting assumptions are being challenged in favour of new principles and practices. Furthermore, in academic circles the scientific foundation of accounting is being questioned. At many universities, limited education is taking place in the underlying theory and philosophy of accounting in favour of teaching prospective accountants how to pass difficult professional exams. Seen against this backdrop, a reconsideration of the objectives and purpose of accountancy may be overdue. This article attempts to illuminate the intrinsic assumptions and objectives of accountancy, seen in the light of modern-day accounting issues and developments.
Why Do Women’s Fields of Study Pay Less? A Test of Devaluation, Human Capital, and Gender Role Theory

As men are overrepresented in lucrative fields and women disproportionately graduate from disciplines that yield low wages in the labour market, horizontal sex segregation in higher education contributes significantly to economic gender inequality. However, what underlies the association between sex composition and wages in fields of study? We draw on data from the German HIS Graduate Panel Study 1997 (N1⁄4 4,092) and use hierarchical linear models to adjudicate between devaluation theory and explanations based on differential sorting processes: human capital and gender role theory. The resulting evidence for both human capital and devaluation theory is scant. Consistent with gender role theory, differences in the attractiveness of fields to students with a careerist approach to higher education and the labour market in turn explain most of the association between field of studies’ sex composition and wage levels. We therefore conclude that gendered patterns of selfselection that derive from men’s socialization into the breadwinner role rather than valuative discrimination or rational anticipation of career interruptions underlie the association between fields’ sex composition and wage levels.
Study on the Impact of Cross-Talk in the ATLAS Electromagnetic Calorimeter on the Signal Prediction in the Strip Layer

The Liquid Argon (LAr) Calorimeters play a central role in the ATLAS detector at the LHC. They measure electrons and photons with high resolution and detect hadronic jets and missing energy signatures. This thesis is dedicated to study the electronic calibration of the electromagnetic barrel calorimeter, which is a lead-liquid argon sampling calorimeter. ATLAS LAr calorimeters have a special electronic calibration system that injects and measures well known current pulses on the detector cells. This procedure leads to well predicted and calibrated pulses of physics signals. The effect of capacitive cross-talk between the front compartment (strips) of the LAr calorimeter is considerably high, the strip-strip peak to peak capacitive cross-talk is about 7.2 % and 0.81 % for 1 neighbor strip and 2 neighbor strip, respectively [29]. A mathematical model which expresses the effects of the capacitive cross-talk is derived. The effect of capacitive cross-talk on the pulse prediction is analyzed. The relative change in the energy content of a single cell, (∆E/E), is found to be around 0.3 % for a 10% relative cross-talk capacitance.
Verb Sense Disambiguation using Subordinating Case Information

Homographs can have multiple senses. In order to understand the meaning of a sentence, it is necessary to identify which sense isused for each word in the sentence. Previous researches on this problem heavily relied on the word co-occurrence information. However, we noticed that in case of verbs, information about subordinating cases of verbs can be utilized to further improve the performance of word sense disambiguation. Different senses require different sets of subordinating cases. In this paper, we propose the verb sense disambiguation using subordinating case information. The case information acquire postposition features in Standard Korean Dictionary. Our experiment on 12 high-frequency verb homographs shows that adding case information can improve the performance of word sense disambiguation by 1.34%, from 97.3% to 98.7%. The amount of improvement may seem marginal, we think it is meaningful because the error ratio reduced to less than a half, from 2.7% to 1.3%.
Determinants of effective creation of ideas within an enterprise on an example of a start-up organisations

Technology environment is known for dynamic changes and a general lack of stability, which causes difficulties in researching it and determination of any common substantive values. This paper addresses these challenges and its whole argument is based not only on the known literature, but also on clear examples from history which are chosen to support some of the arguments. A key aspect of this study is comprehensive empirical research that combines indirect observation of the start-up community and environment with in-depth interviews with various participants in the process of innovation within technology companies. Interviewing and gathering information from people working and setting up innovative projects at different stages of development allowed for identifying some universal values shared by all participants of the process. The research has been summarized and the results presented in four models explaining the general method for creating effective ideas within start-up type organisations. Study presents a new approach to thinking about sparking, creating and managing process of innovation. It helps to understand determinants of effective creation of ideas
Norm-additive in modulus maps between function algebras

The main purpose of this paper is to characterize norm-additive in modulus, not necessarily linear, maps defined between function algebras (not necessarily unital or uniformly closed). In fact, for function algebras A and B on locally compact Hausdorff spaces X and Y , respectively, we study surjections T, S : A −→ B satisfying ‖|Tf | + |Sg|‖Y = ‖|f | + |g|‖X for all f, g ∈ A.
A Study on the Effects of FTA and Economic Integration on Throughput of Korea and China

Trade relation of Korea and China has been growing explosively since the establishment of diplomatic relations in 1992. Now, China is important to the role of market in Korea. Therefore, it is very important to develop economy and trade relations. So in this study, we analyzed the impacts of FTA and economic integration on trade value using HS 85’s panel data of 45 countries trading with Korea from 1992 until 2013 by gravity model. It can be inferred how many impacts of Korea and China’s FTA on throughput. As a result, GDP and population were accorded with the basic gravity model; there was statistical significance in trade index (export similarity index; ESI, export and import price index) except trade complementarity index (TCI) as trade diversion effects. Finally, we proved trade-generating effect about FTA and economic integration as trade creation effects.
Identification of white clover (Trifolium repens L.) cultivars using molecular markers

The different molecular analysis for specification of white clover ( Trifolium repens L.) populations was studied between 2002 and 2003. RAPD, SSR (microsatellites), rDNA and PCR-RFLP markers were used for this study. The high genetic variation was detected among the cultivars but also within the cultivars by RAPD markers. For this reason RAPD markers were not found as a suitable marker system for determination of white clover cultivars. The distribution of low genetic variation of rDNA and PCR-RFLP markers was not able to differentiate cultivars. SSR and
CT-measured macropore parameters for estimating saturated hydraulic conductivity at four study sites.

Saturated hydraulic conductivity is a critical physical parameter essential for predicting infiltration in soils as well as runoff. X-ray computed tomography (CT) has been used as a measurement tool for assessment of soil pore parameters important for water transport. The objective of this study was to use CT-measured soil pore data to predict saturated hydraulic conductivity from four study sites with multiple treatments and soil depths. Soil cores were removed from four study sites in Iowa and Missouri. Study sites included soils developed on deep loess as well as loess and glacial till. Treatments evaluated at the four sites include: row crop, stiff-stemmed grass hedges, agroforestry buffers, grass buffers, conservation reserve program (CRP) management, restored prairie and native prairie. All samples (76 mm diam. by 76 mm long) were scanned using a Siemens Somatom with a 0.19 by 0.19 by 0.5 mm resolution. Pore parameters estimated by CT included macroporosity (> 1000 μm diam.), coarse mesoporosity (200 to 1000 μm diam.), number of pores, circularity of pores, and fractal dimension of macroporosity. The best regression model for estimating the log-transformed saturated hydraulic conductivity was the logarithm of number of pores (r 2 = 0.69). This study illustrates the application of CT methods as a characterization tool of soil pores for prediction of hydraulic conductivity.
Binding Energies and Dissociation Temperatures of Heavy Quarkonia at Finite Temperature and Chemical Potential in the N-dimensional space

The N-dimensional radial Schrodinger equation has been solved using the analytical exact iteration method (AEIM), in which the Cornell potential is generalized to finite temperature and chemical potential. The energy eigenvalues have been calculated in the N-dimensional space for any state (n, l). The present results have been applied for studying quarkonium properties such as charmonium and bottomonium masses. The binding energies and the mass spectra of heavy quarkonia are studied in the N-dimensional space. The dissociation temperatures for different states of heavy quarkonia are calculated in the three dimensional space. The influence of dimensionality number (N) has been discussed on the dissociation temperatures. A comparison is studied with other recent works. We conclude that the AEIM successes to predict the heavy-quarkonium properties at finite temperature and chemical potential.
Improve the QoS of Networks Using AdvancedHybrid Routing in WSN

This project is enhancement of many to one transmission with power aware routing protocol. This work focuses on single sink based WSNs, in which a WSN is composed of a number of sensor nodes associated with a single sink node. The primary role of sensor nodes is to gather data of importance from its surroundings. In this work, we consider a WSN design that is practical, and low cost. We propose Advanced Hybrid Multi-hop routing (AHYMN) to mitigate the impact of sink node isolation. To our best knowledge, this is the first design that considers a hybrid multi-hop routing architecture1 given below. Although flat multi-hop routing algorithms enable routing of data in a fashion that minimizes the power consumption of the WSN, they fail to exploit the data aggregation opportunities by virtue of data collected from the WSN. In many WSN applications with the relatively high node density, the data collected by individual nodes are highly redundant, thus making data aggregation a very attractive scheme in WSNs. Hierarchical multi-hop routing algorithms aim to capitalize on the highly correlated nature of WSN’s collected data. We describe the operation of the most notable example of hierarchical multi-hop routing algorithms, from that we can improve the routing efficiency and channel allocation in cluster networks. The cluster head selection is obtained based on energy level and routing efficiency of the network. We compare the various parameters like Cluster head size, energy, time, packet loss etc., with conventional methods (existing methods)
Preserving Social Media : the Problem of Access 1

As the applications and services made possible through Web 2.0 continue to proliferate and influence the way individuals exchange information, the landscape of social science research, as well as research in the humanities and the arts, has the potential to change dramatically and to be enriched by a wealth of new, user-generated data. In response to this phenomenon, the UK Data Service have commissioned the Digital Preservation Coalition to undertake a 12-month study into the preservation of social media as part of the ‘Big Data Network’ programme funded by the Economic and Social Research Council (ESRC). The larger study focuses on the potential uses and accompanying challenges of data generated by social networking applications. This paper, ‘Preserving Social Media: the Problem of Access’, comprises an excerpt of that longer study, allowing the authors a space to explore in closer detail the issue of making social media archives accessible to researchers and students now and in the future. To do this, the paper addresses use cases that demonstrate the potential value of social media to academic social science. Furthermore, it examines how researchers and collecting institutions acquire and preserve social media data within a context of curatorial and legislative restrictions that may prove an even greater obstacle to access than any technical restrictions. Based on analysis of these obstacles, it will examine existing methods of curating and preserving social media archives, and second, make some recommendations for how collecting institutions might approach the long-term preservation of social media in a way that protects the individuals represented in the data and complies with the conditions of third party platforms. With the understanding that web-based communication technologies will continue to evolve, this paper will focus on the overarching properties of social media, analysing and comparing current methods of curation and preservation that provide sustainable solutions.
Méthodes non-paramétriques pour la prévision d'intervalles avec haut niveau de confiance : application à la prévision de trajectoires d'avions

La prediction de trajectoires d'avions a partir des donnees disponibles au sol est un probleme critique pour le controle aerien. Une prediction fiable et efficace est un prerequis pour l'implementation d'outils automatiques pour la detection et la resolution de conflits entre les trajectoires. Dans ce contexte, nous proposons de nouvelles methodes non parametriques pour la prediction d'intervalle contenant une proportion attendue des donnees avec un haut niveau de confiance. Dans un premier temps, nous traitons le probleme de l'estimation d'une distribution de probabilite a partir d'un petit echantillon. En considerant l'interpretation des distributions de possibilite comme une famille de distributions de probabilite, nous decrivons un ensemble de distributions de possibilite qui resument differents types d'intervalles statistiques. Ensuite, nous proposons un cadre de travail pour verifier si un modele, construit a partir de donnees, respecte les proprietes de recouvrement requises par les intervalles de prediction. Nous introduisons aussi deux mesures pour comparer des modeles de prediction d'intervalle qui ont des tailles moyennes et des taux de recouvrement differents. A partir de nos travaux sur les intervalles statistiques (et leurs distributions de possibilite associes), nous presentons une nouvelle methode pour induire des intervalles de predictions bornes pour des methodes de regression des moindres carres non parametriques sans assumer que la prediction est non biaisee et que les erreurs sont homoscedastiques. Nos intervalles de prediction sont construits en utilisant des intervalles de tolerances sur les erreurs dans le voisinage du point a predire. Pour cela, nous decrivons une methode de selection de voisinage a taille fixe ou de voisinage a taille variable dependant de la quantite d'informations autour du point. Nous obtenons un algorithme qui induit, dans la majorite des cas, les intervalles de prediction fiables les plus petits possibles. Les methodes que nous proposons sont comparees avec les methodes les plus connues au niveau theorique et au niveau pratique. Une evaluation est effectuee sur neuf bases de donnees. La taille, l'efficacite, la fiabilite et la precision des intervalles predits sont compares. Ces experimentations montrent que nos approches sont significativement plus precises et fiables que les autres. Enfin nous appliquons nos methodes au probleme de la prediction de trajectoires d'avions et nous comparons les resultats avec ceux des methodes classiques et des modeles physiques.
Gender-related differences of magnetic resonance T1 relaxation times of normal myocardium: the impact of blood correction

Poster: "ECR 2013 / C-0460 / Gender-related differences of magnetic resonance T1 relaxation times of normal myocardium: the impact of blood correction" by: "G. Reiter1, U. Reiter1, K. Dorr1, A. Greiser2, R. Maderthaner1, M. Fuchsjaeger1; 1Graz/AT, 2Erlangen/DE"
Supermarket Entry and its effect on small stores in Montevideo, 1998 to 2007

We analyze the effect of supermarket entry on small grocery retailers’ exit in the retailing sector in Montevideo between 1998 and 2007. We show that the entry of one supermarket in a small store’s neighborhood increases its chance exiting the market in that year by 1.2% on average. The result is robust to several model specifications, and varying definitions of what constitutes a supermarket.
The Development of A Bioassay Based on Heterologous Expression of M2 Ion-Channel Protein

Emerging resistant viral strains combined with the limited availability of antivirals in a pandemic scenario highlight the need for the development of novel influenza antivirals. A bioassay based on the M2 protein of influenza virus - a potential target for antivirals - was developed to screen endophytic microbial extracts. M2 can be synthesized using PCR, thus eliminating the need for the handling of infectious specimen. Following cloning of the M2 gene into a pET backbone, the resultant plasmid was transformed into BL21 (DE3) pLyss E. coli cells. Cultures of these cells were set up at 37C following inoculation with a starter culture, to reach an OD at 600nm (OD) of 0.4-0.6. Once at the required OD, the culture was split in two aliquots and expression of the M2 protein was induced in one of the duplicates with the addition of isopropyl β-Dthiogalactopyranoside (IPTG). Bacterial growth was monitored at 60 -minute intervals. Exogenous expression of the M2 protein has been reported to decrease host cells viability, resulting in lower OD 600 values. Our results suggest that the M2 protein was expressed and that overexpression of this protein resulted in consistently lower OD 600 values of induced cultures compared with that of uninduced cultures. Based on this principle, extracts can be screened for their ability to block M2 function as identified by increased OD 600 values. Keywords: influenza, M2, bioassay, gene synthesis, antiviral
Huawei Technologies Corporation: from local dominance to global challenge?

Purpose – The paper aims to identify the challenges faced by Huawei Technologies, China's biggest telecommunications equipment manufacturer, as it makes the transition from an indigenously‐owned business to a potentially competitive global giant.Design/methodology/approach – This is an inductive, interpretative case study complimented by hands‐on experience with the industry.Findings – The paper finds that Huawei lies at a crossroads in a transitional telecommunication sector that is no longer isolated from global reforms and advancement. Through internationalisation the company has learned to compete by adjusting their mechanisms, learning instruments and focus.Originality/value – The paper is useful for practitioners in that it shows how indigenous companies in latecomer industrialising countries like China can overcome the late mover position in some of the advanced markets they have entered. For academics it highlights the role of government in helping to construct competitive indigenous firms that co.
A Case Study in Modeling and Process Control: the Control of a Pilot Scale Heating and Ventilation System

This paper details the control of a pilot scale laboratory heating and ventilation system. The system is represented in 2x2 multi-input, multi-output (MIMO) form. A process reaction curve identification technique was used to model (in first order lag plus delay - FOLPD - form) the flow process and temperature process portions of the system, over a range of operating conditions. Tests revealed that both processes were continuously non-linear. A gain scheduler with static decoupling was designed, using look-up tables, to continuously interpolate for the most suitable proportional-integral (PI) or proportional-integral-derivative (PID) controller settings and decoupler gains. The contribution of this paper is the careful application, using wellknown techniques, of a complete controller design cycle for a laboratory scale system.
Marketing Value Co-Creation for Consumers on Open Innovation Platforms

This article demonstrates the marketing value creation and co-creation through the open innovation platforms. It outlines our knowledge and observation through studying and engaging in different open innovation platforms. The purpose of marketing value creation for consumers is to sell products and services. The consumer dominant interaction between groups of users in an open innovation platform allows to create a new idea, product, services, and improvement of existing idea, product or services to facilitate the flow of ideas from an individual to another individual or firms which is called co-creation. However, this is a disagreement whether consumer-dominant value creation is an extension of service dominant logic. Firms enjoy the maximum benefit of open innovation and consumer dominant value co-creation with less spending on their research and development. Therefore, the major challenges for the community or users are to provide capacities that support growing openness. Aus. J. Bus. Sco S. & IT. Vol 4(2), April 2018, P 62-68