Miracle-dz/UniFAR-FTUs huggingface dataset:
Are farmed European seabass (Dicentrarchus labrax) prices in European Union markets affected by Turkish exports of farmed European seabass?

Abstract Often, increases in farmed seabass and seabream production surpluses from Turkey and Greece have been blamed to lead to price declines and aquaculture sector crises. In this study, we investigate whether Turkish exports of farmed European seabass affect prices of European Union (EU) farmed European seabass. This is done by examining the existence of market integration between the prices of Turkish exports of farmed European seabass into the EU and the prices of farmed European seabass commercialized in wholesale markets in Barcelona, Madrid and Paris. Market integration and competition studies in fisheries and aquaculture products have generally focused on analyzing substitutability between species and between wild and farmed conspecifics. Few studies have focused on analyzing market integration between different geographic areas. Market integration analyses between different geographic areas have proven useful in anti-dumping investigations. Results show the lack of market integration between EU imports of Turkish farmed European seabass and main EU wholesale markets; in other words, farmed European seabass prices in EU markets do not seem to be affected by export prices of Turkish farmed seabass.
Effective management of construction company in terms of linguistic communication

The research presented here has been made over the years in the field of increasing the effectiveness of management in a construction company in terms of applied linguistics. The aim of this work is to share with the scientific community some practical findings of applying the technology of process management of the company, in particular the methods of linguistic efficiency considering the factors of the linguistic personality of the employee. The study deals with the description of applied linguistic and managerial models, views, practical results of their application in the applied field in order to assess production sustainability and minimize losses. The authors applied the developed technology to practical use, and the article presents the results of this application. The authors continue the research in this direction aiming at improving the production effectiveness of the proposed technologies and eliminating some identified drawback.
Numerical Investigation of the Effects of the Baffles Added in a Concentric Pipe Heat Exchanger

Received: 9 April 2019 Accepted: 10 June 2019 In this numerical work, the effects of baffles added in a Concentric Tube Heat Exchanger are studied, using a commercial software CFD (Computational Fluid Dynamics) package. The CFD model is made to grab all the physical phenomena such as heat transfer rating, temperature, velocity and pressure distributions within the computational domain. First the simplest model, the Heat Exchanger without baffles, is considered. Due to its limited capacity, baffles are added into the domain to investigate the heat transfer enhancement while observing pressure loss that is a direct indication of the pumping power for a given flow rate. A sufficiently high detailed geometry and fine mesh characteristics are adopted taking into account the computation resources and time, yet satisfactory enough to show that the numerical model can be validated using the analytical solutions relying on empirical heat transfer formulas. This gives researches working in Heat Exchanger area the opportunity to design their systems using CFD, without depending on a prototype that needs to be tested before the actual product is marketed. Normally, a new type of heat exchanger with a different tube diameter and baffle lay-out has to be manufactured using general a heat exchanger calculation approach that will most of the time require the revision of the preliminary design.
Macroeconomic Determinants and Mortgage Debt Accumulation: Evidence from Malaysia

The statistics of the household debt in Malaysia is among the highest in the ASEAN region with the biggest portion of the household debt goes to pay off the mortgage debt. As accommodation is one of the basic needs required by all households regardless of the price offered, concerns are given to the household affordability to live in a decent economy. The escalating trend of household debts related to mortgage is due to the increase in house prices, fluctuation in interest rates and speculative activities taken by investors. Thus, the aim of the study is to examine the relationship of principal drivers on mortgage debt accumulation using macroeconomic determinants. The macroeconomic determinants were represented by house price index (HPI), interest rate (IR), gross domestic product (GDP) and living cost (LC). The data set was analyzed between the period International Journal of Academic Research in Business and Social Sciences Vol. 8 , No. 11, Nov, 2018, E-ISSN: 2222-6990 © 2018 HRMARS 99 of 2006 till 2016 on a quarterly basis. Multiple regression analysis was applied to test the statistical relationship between the macroeconomic determinants and the mortgage debt. Several diagnostic tests also being conducted to ensure that the proposed model in this study adequately describes the time series under consideration. The empirical findings revealed that the accumulation of mortgage debt in Malaysia is driven primarily by three key factors: house price index, interest rate, and living cost. The living cost has been identified as the most significant factor that leads to high accumulation of mortgage debt in Malaysia. However, income (which is represented by GDP) does not give any significant impact towards the accumulation of mortgage debt. This implies that capital appreciation in the property market has made households stretch out their mortgage financing to own a house to fulfill their basic needs; without considering their level of income. The implication of this study is critical to deliberate for further analysis as easy access to mortgage debt may lead to default or sub-prime crisis. By understanding the principal macroeconomic drivers that influence the accumulation of mortgage debt, this would contribute to the body of knowledge, and subsequently the legislator who can take the necessary actions to mitigate the issues of escalating prices in the property market, and how best to balance between the macroeconomic policy and the related policies designed to stabilize the housing market, and to contain the mortgage debt from upward bubbling.
Effect of Twisted Tape Ratio on the Solar Generator Half-length Pipe

Received: 9 December 2018 Accepted: 2 April 2019 The effect of twisted tape ratio has been studied numerically to promoting a swirl effects inside a long half-length pipe. A constant wall temperature demonstrates solar collector at average temperature conditions for the receiver pipe. The flow simulation adjusted at different range of Reynolds number 1500-7000 and varied twisted tape ratio y=2, 3.3, and 5. The results showed that; when the twisted tape pipe increases (for example at 3.4), the average outlet temperature, heat transfer coefficient, Nusselt number, friction factor, and power losses increases to 64, 65, 28, 14.1, 31 % respectively compared with plain pipe, also the average outlet fluid temperature is maximum from 305 K-322 K at low Reynolds number 1500 for all cases and then will be decreasing with increasing Reynolds number . The results presented in contours of temperature distribution and flow trajectory by axial velocity were accomplished to exam the low Reynolds number in solar applications. It showed that, when the swirl geometry used, which would be effect on the axial velocity for the flow by 10 % more than the cases without twist tape.
Using a Computer Simulation To Teach Science Process Skills to College Biology and Elementary Education Majors.

The Lateblight computer simulation (Arneson and Ticknor, 1990) has been implemented in the general biology laboratory and the science methods course for elementary teachers to reinforce the processes of science and to allow the students to engage, explore, explain, elaborate and evaluate the methods of building concepts in science. The students develop testable hypotheses and then use the program to run experiments and collect data. In addition, they research relevant background information and subsequently present their results in a poster during class.
Software optimization technique for the reduction page fault to increase the processor performance

—This work is aimed on how to increase the processor performance without adding any extra hardware. As technology grows new hardware are introduced and that replaces the old one. Which actually leads to the E-waste generation, one of big environmental problem. In the entire work no extra hardware is introduced inorder to increase the system performance. Processor performance can measured in terms of how much time the processor is spending to perform useful work. This is accomplished with the various stages of operations. The disk scheduling is done with MBFQV2 instead of CFQ. Page replacement method which is used for loading the new requested page to the main memory from virtual or loading to cache from main memory is replaced with the LRU_LFU scheduling. Along with the above two steps for handling the branch instruction a new method called CaMMEBH introduced. The increase in the processor performance is measured in terms of page fault. Even if there is some change in the various time parameters which are not notable. The main reason behind this is execution will take place only in sequentially. None of the compiler will generate the parallel execution code. By keeping the mentioned thing in mind here some modification are done on the operating system design itself.
A meta data mining framework for botnet analysis

ABSTRACT Botnets are a group of compromised computers that act in a coordinated manner against a target determined by a single point of control. Meta-analysis of botnets is crucial as it results in knowledge about the botnet, often providing valuable information to researchers who are looking to eradicate it. However, meta-analysis has not been applied from a research standpoint for botnets detection and analysis. This paper proposes a framework that uses modified implementation of Apriori data mining algorithms on data-sets derived from end-user logs for meta-analysis. It also presents a case study following the proposed approach. The results of this case study present some interesting heuristics that can be used to eradicate the botnet. These heuristics include the indication of vulnerabilities, new trends in botnet malware among others.
Towards sustainable drinking water abstraction: an integrated sustainability assessment framework to support local adaptation planning

ABSTRACT Globally, groundwater is the major drinking water resource. Improving the sustainability of groundwater abstraction for drinking water calls for adaptation on a local scale. The aim of this research is to develop a locally oriented, integrated sustainability assessment framework to support the adaptation planning process for local drinking water abstractions. The framework uses 45 socio-economic, physical and technical sustainability criteria. Future developments that affect the sustainability of local drinking water abstractions are the increasing water demand, land use change, climate change and soil energy transition. Based on the sustainability challenges of local drinking water abstractions, water saving, protection and restoration of raw water quality, mitigation or reduction of impact of abstraction and improvement of supply security are identified as adaptation strategies. To illustrate the proposed approach the sustainability assessment framework was applied to two local drinking water abstractions in the Netherlands. The paper concludes that the proposed framework provides decision- makers with a transparent understanding of trade-offs that decisions have, and the information generated by the framework supports a careful balancing of relevant aspects playing a role in a decision on adapting local drinking water abstractions. Further development and upscaling of the proposed framework to a drinking water company’s level will contribute to sustainable development of drinking water abstraction on a strategic level.
Estimation of the Degree of Entropy of Russia's Foreign Economic Relations in the Choice of an International Industrial and Technological Partnership

The article studies the orderliness of Russia's foreign economic relations in the context of industrial and technological partnership with the other countries. The research is based on a combination of the logical-probabilistic approach of complex networks. It was noted that the issue of choosing the best ways for international production and technology cooperation should be resolved from the point of view of deliberate ordering in the most significant sectors for the planned outstripping development. The most significant industries for the Russian economy are identified: coal, oil and gas, machine building and high-tech sectors of the economy. The indicators of relatively low entropy (orderliness) of foreign economic relations in these significant areas are obtained. That means that there is a high potential for expanding the production and technology partnership. Although it was noted that Russia is not an active participant in industrial and technological integration with many countries in the world. The results of the study confirmed the possibility of using entropy indicators to assess the degree of development of foreign economic relations and determine the optimal directions of industrial and technological partnership.
The Relationship between Image and Legitimacy in the Spanish Public University

The correct management of intangible assets such as image and legitimacy can be crucial for the survival and success of organizations given the current competitive landscape. These variables have been analysed in the literature due to their importance, however additional research is still needed in order to clarify the way they relate. Spanish public universities operate in a complex environment, competing for economic resources from the government as well as for talented students, prestigious professors and competent employees at national and international levels. The aim of this paper is to analyse the relationship between image and legitimacy in the higher education context. For this purpose, a review on the literature regarding image and legitimacy will be carried out, followed by the analysis of the results obtained through a survey distribution to a variety of universities’ stakeholders (students, professors, administrative personnel, alumni and managers). To treat the data PLS SEM was used. The results confirm the proposed hypothesis on the influence that image has on legitimacy.
Reliability and Validity of the ACREDA Religious Self-Regulation Questionnaire (ASRQ-R)

Drug addiction remains a problem even after the establishment of different rehabilitation centers around Malaysia. Religiosity has been suggested as the way forward in combating drug addiction in a conservative Malaysian population. However, religiosity behavior has not been conclusively researched in Malaysia. Thus, this study examines the validity and reliability of the ACREDA Religious Self-Regulation Questionnaire (ASRQ-R) among recovering addicts in Malaysia. This instrument is adapted from the original 48-item ASRQ-R inventory by Ryan, Rigby, and King (1993) into a shorter, 12-item instrument. The instrument aimed to examine the motivation as to why a person engages in religious behavior and will. The instrument was back translated by language experts to maintain its authenticity, and face validity were done by counselling experts to examine its content. 86 residents at a drug rehabilitation centre in Sepang were chosen to gauge the reliability scores of the instrument. Analysis of the reliability indicated a Cronbach's Alpha score of 0.895, indicating high reliability. This provides evidence that the instrument is acceptable to be used in a Malaysian context, specifically the Malay Muslim population.
The effect of inflation, US bond yield, and exchange rate on Indonesia bond yield

Indonesia sovereign bonds are investment graded bonds, therefore, it will have global exposure and it will be more interlinked with global market condition. The purpose of this research is to examine the impacts of US bond yield, exchange rate, and inflation on Indonesian bond yield. Our result conclude that based on Vector Error Correction Model there are long run causality from inflation, US 10 year bond yield, and USD/IDR exchange rate to Indonesia 10 year bond yield. There are also short-run causality from inflation and US 10 year bond yield to Indonesia 10 year bond yield. Based on impulse response function, Indonesia 10 year bond yield respond permanently to changes in US 10 year bond yield. Based on Granger causality we also reveal that inflation and US 10 year bond yield can cause Indonesia 10 year bond yield. US 10 year bond yield has a larger impact than inflation when it comes to affecting Indonesia 10 year bond yield
Business Process Model Reuse In A Multi-Channel / Multi-Product Environment-Problem Identification And Tentative Design

Business Process Modeling has become a common activity in organisations. However, as the number of process models increases, so too does the number of duplicated models increase and the level of process model reuse has been found to be surprisingly low. In organisations which operate in an environment with multiple channels, products and customer types, complete process model reuse becomes especially challenging. Without a well-defined approach, such an environment could easily result in dozens of slight variations of what is essentially the same process which will lead to future model and repository management challenges. In response to this problem this paper reviews the literature of complete business process reuse in a multi-channel / multi-product environment. We find that there is a clear gap in the literature in terms of practical solutions that address the problem described but were able to distil five practices that can increase complete model reuse. This review and the practices described will help practitioners grappling with these challenges and paves the way for further needed research on this problem.
Alçamento vocálico das vogais médias pretônicas iniciais na variedade do noroeste paulista

Este trabalho analisa o alçamento das vogais médias pretônicas na variedade do noroeste do estado de São Paulo. Avança em relação aos estudos de Silveira (2008), Carmo (2009, 2013, 2014) e Carmo e Tenani (2013), por discorrer especificamente sobre o comportamento dessas vogais em contexto de início de vocábulo (cf. BISOL, 1981), como em [e]mergência ~ [i]mergência e [o]portunidade ~ [u]portunidade. Como arcabouço teórico, segue-se a Teoria da Variação e Mudança Linguística (LABOV, 2008 [1972]). O córpus desta pesquisa engloba 38 inquéritos do banco de dados IBORUNA (Projeto ALIP – IBILCE/UNESP – FAPESP 03/08058-6). Com a utilização do pacote estatístico Goldvarb X, observam-se comportamentos diferenciados das pretônicas /e/ e /o/ iniciais em relação ao alçamento, com taxas de 76,8% e 1,7%, respectivamente. Ademais, evidenciam-se resultados distintos aos de vogais médias pretônicas em contexto medial na mesma variedade (CARMO, 2013, 2014; CARMO; TENANI, 2013).
Analisis Sentimen Publik pada Program Kesehatan Masyarakat menggunakan Twitter Opinion Mining

Program dan kebijakan pemerintah di bidang kesehatan membutuhkan umpan balik untuk evaluasi dan perbaikan. Umpan balik bisa diperoleh dari opini publik terkait program-program kesehatan tersebut. Media sosial seperti Twitter memuat opini publik terutama tentang program kebijakan di bidang kesehatan masyarakat. Media sosial merupakan salah satu sumber data teks yang tidak terstuktur. Ekstraksi pengetahuan untuk mendapatkan umpan balik dari media sosial sangat menyulitkan karena sifat tidak terstruktur tersebut. Penelitian ini bertujuan untuk mengembangkan model untuk mengetahui sentimen publik terhadap enam macam program kebijakan pemerintah yaitu imunisasi, asuransi kesehatan, stunting, gizi buruk, pelayanan kesehatan, dan jaminan kesehatan masyarakat. Metodenya adalah dengan melakukan ekstraksi pengetahuan dari opini di media sosial menggunakan analisis sentimen berbasis leksikon. Sifat tidak terstuktur dari opini publik di twitter akan diproses sehingga dapat diketahui pola tersembunyi di dalamnya. Jumlah pesan tweet yang diolah dari Twitter dalam penelitian ini adalah 6000 pesan tweet dan pemantauan pesan di media Twitter dilakukan setiap minggu. Hasil analisis sentimen berupa grafik sentimen opini publik di twitter terkait topik-topik kesehatan tersebut. Model diuji untuk membaca sentimen public di twitter sejak awal bulan Agustus 2018. Model menghasilkan kesimpulan bahwa opini publik terkait asuransi kesehatan, pelayanan kesehatan dan jaminan kesehatan masyarakat cenderung positif dan opini terkait imunisasi, gizi buruk, dan stunting cenderung negatif.
Accuracy and the Consistency in Terminologies Used in an Elementary Textbook

This study is aimed to scrutinize the accuracy and the consistency of terms found in a Bahasa Indonesia thematic textbook for the fourth graders in elementary school level. To achieve this aim, content analysis is the framework of this study, by employing the analysis model from Busch consisting of five main stages; determining, checking, searching, analyzing, and drawing conclusion. Moreover, this study results in two conclusions. First, numerous terms are not properly used in the textbook. Second, there is inconsistency in using particular terms. These findings could beget the low readability of the contents. Therefore, it is suggested to the textbook writers to pay attention to aspects of "accuracy" and "consistency" in using the terms. Keywords—accuracy; consistency; terminology
PSYRGGU 2019 Psychology of subculture: Phenomenology and Contemporary Tendencies of Development RADICAL ATTITUDES MODERATE THE RELATIONSHIPS OF AGGRESSIVENESS AND TOLERANCE WITH EMOTION REGULATION

In the previous study based on review of different cognitive components that could be lead to radical attitudes we suggested six cognitive components of radical attitudes: the propensity to defend one’s opinion at any cost, black-and-white thinking, impulsive decision making, the idea of the acceptability of a public expression of aggression and interest in its public manifestations, self-confidence, the belief in easy correctability of personal mistakes. The aim of the study was to reveal relationships between radical attitudes and cognitive strategies of emotion regulation under stressful situation as well as possible moderation effects of radical attitudes on the relationships of aggressiveness, impulsivity and tolerance with emotion regulation strategies. 219 adults 18-60 years old filled Radical Attitudes Questionnaire the Tolerance Index, the Bass-Perry Aggression Questionnaire, Barrett Impulsivity Scale, Cognitive Emotion Regulation Questionnaire and also evaluated their readiness to commit extreme actions for various reasons. According to the results, radical attitudes are related both to readiness to extreme actions and to higher other-blame and lower ruminations, acceptance and putting into perspective under stressful situations. Moderation analysis allows to suggest that radical attitudes might facilitate expression of aggressiveness in extreme behavior, expression of impulsivity in other-blaming and suppress expression of tolerance in positive reappraisal, focus on planning and low catastrophizing. © 2019 Published by Future Academy www.FutureAcademy. org.UK