Miracle-dz/UniFAR-FTUs huggingface dataset:
CREATE: A Co-Modeling Approach for Scenario-based Requirements and Component-based Architectures

Requirements engineering and architectural design are key activities for successful development of softwareintensive systems. Both activities are strongly intertwined and interrelated. Particularly, in early development stages requirements and architecture decisions are frequently changing. Thus, advanced systematic approaches are needed, which could minimize the risks of wrong early requirements and architectural decisions. The fundamental problem addressed in this paper is the development of inconsistencies at the advanced approaches for co-evolution of requirements and architectures. Inconsistencies lead to an incorrect consideration of requirements by the system under development and consequently to unfulfilled requirements. In this paper, a domain specific model-based approach is presented, which supports the co-evolution of requirements and architectures. The approach provides simplified scenario-based models for the description of requirements, which are suitable for validation by stakeholders. Furthermore, the approach provides a component-based model for a precise and complete description of architectures. Adequate inter-relations between scenariobased and component-based models are defined, which support the consistence maintenance. Keywords-requirements; architecture; evolution; consistency.
A Study of the Factors Affecting the Development of the Portfolio of Products of the Iranian Top Pharmaceutical Companies Using Promethee Method

It is very important to select new pharmaceutical products among the world's successful and best-selling products. What seems problematic in the development process of the portfolio of products is the analysis of potential and actual competitors and the rate of success of new products in achieving share from the pharmaceutical market. For this purpose, experts of pharmaceutical industry have been consulted in determining the factors affecting the development of the portfolio of products. The results of the data analysis suggest that the criterion "three-past-year average sales of pharmaceutical companies" is the most important. DOI: 10.5901/mjss.2016. v7n3s3p329
Social Theory of International Politics: “Ideas all the way down?”: on the constitution of power and interest

Drawing upon philosophy and social theory, Social Theory of International Politics develops a theory of the international system as a social construction. Alexander Wendt clarifies the central claims of the constructivist approach, presenting a structural and idealist worldview which contrasts with the individualism and materialism which underpins much mainstream international relations theory. He builds a cultural theory of international politics, which takes whether states view each other as enemies, rivals or friends as a fundamental determinant. Wendt characterises these roles as 'cultures of anarchy', described as Hobbesian, Lockean and Kantian respectively. These cultures are shared ideas which help shape state interests and capabilities, and generate tendencies in the international system. The book describes four factors which can drive structural change from one culture to another - interdependence, common fate, homogenization, and self-restraint - and examines the effects of capitalism and democracy in the emergence of a Kantian culture in the West.
Shape-Free Finite Element Method: Another Way between Mesh and Mesh-Free Methods

Performances of the conventional finite elements are closely related to the mesh quality. Once distorted elements are used, the accuracy of the numerical results may be very poor, or even the calculations have to stop due to various numerical problems. Recently, the author and his colleagues developed two kinds of finite element methods, named hybrid stress-function (HSF) and improved unsymmetric methods, respectively. The resulting plane element models possess excellent precision in both regular and severely distorted meshes and even perform very well under the situations in which other elements cannot work. So, they are called shape-free finite elements since their performances are independent to element shapes. These methods may open new ways for developing novel high-performance finite elements. Here, the thoughts, theories, and formulae of above shape-free finite element methods were introduced, and the possibilities and difficulties for further developments were also discussed.
Optimization of fermented cow meat quality by lactic acid bacteria in batch fermentation

Background & Objectives: Lactic acid bacteria are essential factors for obtaining optimum sensory aspects in fermented meat. The aim of this study was the enhancement of cow meat quality by optimization of acid production using Lactobacillus sakei and Lactobacillus plantrum in batch fermentation. Materials & Methods: In this cross-sectional descriptive study, L. sakei subsp. sakei PTCC1712 and L. plantrum PTCC1058 were grown in MRS medium and confirmed by molecular identification. Using Taguchi software (16 version), trials were designed to optimize three factors including temperature, bacterial inoculation, and glucose supplementation. The results were analyzed based on detection of acid production and compared by ANOVA program. Total product bacteria, lactic acid bacteria, Enterobacteriaceae, and yeasts/molds were counted by standard microbial methods. Results: Maximum acid production for L. sakei was detected at 36 oC, 10% glucose and 8000 CFU.g inoculated bacteria; and for L. plantarum was detected at 37 oC, 10% glucose, and 9000 CFU. g inoculated bacteria. The best factor affecting pH decline was a carbon source for both bacterial strains. Lactic acid bacteria showed a fourfold increase after fermentation and maintained 60% of their viability following heating stage. No Enterobacteriaceae was found in the product, and other pathogens showed a great decrease. Using both strains simultaneously, 6.9% improvement in acid production was observed. Conclusion: Both Lactobacillus strains had similar conditions for cow meat fermentation and showed synergistic activity for acid production when used simultaneously.
Collapsibility of PMMA Based Material in Direct Investment Casting

Over recent years, the rapid growth of Additive manufacturing (AM) has benefits the Direct Investment Casting (DIC) process for intricate design in which significantly reduces the cost when associated with low volume production. Nevertheless, ceramic shells cracking has been recognized as critical problem when involved direct casting in which leads to incomplete collapsibility. Therefore, this study presents a numerical and experimental on poly(methyl) methacrylate (PMMA) pattern collapsibility for investment casting process and the stress analysis study on the ceramic shells. Study revealed that there were significant average of 5.8 % reduction of stress between square and polygon patterns. This study was conducted to examine the collapsibility of AM materials in the IC process.
Implementing Open-Source CUDA Runtime

Graphics processing units (GPUs) are the state of the art embracing the concept of many-core technology. Their significant advantage in performance and performanceper-watt compared to traditional microprocessors has facilitated development of GPUs in many compute applications. However, GPUs are often treated as “black-box” devices due to proprietary strategies of hardware vendors. One of the greatest challenges of this research domain is the in-depth understanding of GPU architectures and runtime mechanisms so that the systems research community can tackle fundamental problems of GPUs. In this paper, we present an open-source implementation of CUDA runtime, which is the most widely-recognized programming framework for GPUs, as well as a documentation of “how GPUs work” investigated by our reverse engineering work. Our implementation is based on Linux and is targeted at NVIDIA GPUs.
Trade patterns of the tree nursery industry in Europe and changes following findings of citrus longhorn beetle, Anoplophora chinensis Forster

The trade in plants for planting is a major pathway for the introduction and further spread of alien plants, pests and diseases. Information about the structure of plant trade networks is not generally available, but it is valuable for better assessing the potential risks associated with the trade in live plants and the development of prevention and mitigation measures and policy. The discovery of two larvae of Anoplophora chinensis (citrus longhorn beetle – CLB) in 2009, at a nursery importing Acer palmatum from China in one of the major Dutch tree nursery areas, has resulted in the creation of a detailed dataset on the intra- European Union trade in its potential hosts. This study describes European imports of the primary host of A. chinensis, Acer spp. , into the Netherlands (1998-2012) and the effects of the finding in a tree nursery area. In addition, shipments of Acer spp. from 138 producers in the nursery area in 2009 were analysed in a one-off analysis of intra-EU trade. The volume of Acer spp. imports from Asia was stable early during the studied period, and declined to 5% of the initial imports after a period of interceptions, illustrating the effect of regulations. The number of notifications of A. chinensis infestations in imported consignments of
The adaptation of social media networks to increase sales in the UK hostels industry

This paper investigates how the hostels industry in the United Kingdom can adopt social media network tools to increase their sales. Although much has been written about the hostels industry in the United Kingdom and social media networks themselves, there is lack of data on the successful application of social media networks in the hostels industry in the United Kingdom. Therefore, this paper examines how the successful link between the hostels industry in the United Kingdom and social media networks could be developed. For that reason, the aims of this paper are to analyse each factor such as: number of qualified leads, lead-toconversion rate and customer retention and how they are linked to the number of customers, audience and customer engagement. Using the data collected from online surveys I analysed how the hostels industry needs to make use of the social media networking sites to generate sales. I applied social network analysis to explore how the number of qualified leads is related to the number of customers. Also, I applied the sales funnel model to identify social media users that increase the lead-toconversion rate. Data were analysed with the application of the calculation of Pearson’s chi-square to explore the impact of customer engagement in social media networks on customer retention. My results indicate that the hostels in the United Kingdom by the increasing the number of qualified leads, lead-to-conversion rate and customer retention with the social media networks application will increase the sales revenue of the company.
Empirical Research on Search model of Web Service Repository

The World Wide Web is transitioning from being a mere collection of documents that contain useful information toward providing a collection of services that perform useful tasks. The emerging Web service technology has been envisioned as the next technological wave and is expected to play an important role in this recent transformation of the Web. By providing interoperable interface standards for application-to-application communication, Web services can be combined with component-based software development to promote application interaction and integration within and across enterprises. To make Web services for service-oriented computing operational, it is important that Web services repositories not only be well-structured but also provide efficient tools for an environment supporting reusable software components for both service providers and consumers. As the potential of Web services for service-oriented computing is becoming widely recognized, the demand for an integrated framework that facilitates service discovery and publishing is concomitantly growing. In our research, we propose a framework that facilitates Web service discovery and publishing by combining clustering techniques and leveraging the semantics of the XML-based service specification in WSDL files. We believe that this is one of the first attempts at applying unsupervised artificial neural network-based machine-learning techniques in the Web service domain. We have developed a Web service discovery tool based on the proposed approach using an unsupervised artificial neural network and empirically evaluated the proposed approach and tool using real Web service descriptions drawn from operational Web services repositories. We believe that both service providers and consumers in a service-oriented computing environment can benefit from our Web service discovery approach.
Evaluating the Effect of Training on Wages in the Presence of Noncompliance, Nonemployment, and Missing Outcome Data

The effects of a job training program, Job Corps, on both employment and wages are evaluated using data from a randomized study. Principal stratification is used to address, simultaneously, the complications of noncompliance, wages that are only partially defined because of nonemployment, and unintended missing outcomes. The first two complications are of substantive interest, whereas the third is a nuisance. The objective is to find a parsimonious model that can be used to inform public policy. We conduct a likelihood-based analysis using finite mixture models estimated by the expectation-maximization (EM) algorithm. We maintain an exclusion restriction assumption for the effect of assignment on employment and wages for noncompliers, but not on missingness. We provide estimates under the “missing at random” assumption, and assess the robustness of our results to deviations from it. The plausibility of meaningful restrictions is investigated by means of scaled log-likelihood ratio statistics. Substantive conclusions include the following. For compliers, the effect on employment is negative in the short term; it becomes positive in the long term, but these effects are small at best. For always employed compliers, that is, compliers who are employed whether trained or not trained, positive effects on wages are found at all time periods. Our analysis reveals that background characteristics of individuals differ markedly across the principal strata. We found evidence that the program should have been better targeted, in the sense of being designed differently for different groups of people, and specific suggestions are offered. Previous analyses of this dataset, which did not address all complications in a principled manner, led to less nuanced conclusions about Job Corps.
KEPLER-7b: A TRANSITING PLANET WITH UNUSUALLY LOW DENSITY

We report on the discovery and confirmation of Kepler-7b, a transiting planet with unusually low density. The mass is less than half that of Jupiter, MP = 0.43 MJ, but the radius is 50% larger, RP = 1.48 RJ. The resulting density, ρP = 0.17 g cm−3, is the second lowest reported so far for an extrasolar planet. The orbital period is fairly long, P = 4.886 days, and the host star is not much hotter than the Sun, Teff = 6000 K. However, it is more massive and considerably larger than the Sun, M⋆ = 1.35 M☉ and R⋆ = 1.84 R☉, and must be near the end of its life on the main sequence.
Formulation and Characterization of Tapentadol Loaded Emulgel for Topical Application

Background: Tapentadol is a centrally acting analgesic drug which falls under class III drug as per biopharmaceutical classification systems having poor bioavailability. Aim: Therefore, present study was aimed at solubility and permeability enhancement of Tapentadol using emulsomes loaded emulgel drug delivery system. Methods: Emulgel was prepared using data light liquid paraffin, Tween 20 and PEG 400 as Surfactant and Co-surfactant respectively. For preparation of stable Emulgel, micro emulsion region was identified by constructing pseudo ternary phase diagram containing different proportion of surfactant: co-surfactant (1:1, 2:1 and 3:1), oil and water. Ex vivo drug release study was done and compared to in vitro drug release of optimized formulation X2Q1. PhysicoChemical Evaluation: Total nine Emulgel formulations were prepared and evaluated for self-emulsification time, dispersibility, droplet size analysis, stability studies, turbidimetry, zeta potential, drug content and in vitro and ex vivo drug release. Results: Among all the formulations, optimized formulation X2Q1 with 1.5% carbopol 981 and optimized Q1 emulsion formulation showed in vitro drug release of 90.03 % at the end of 8 hrs. Based on results of self-emulsification time & dispersibility, droplet size analysis, drug content and in vitro drug release the X2Q1 formulation was selected as an optimized formulation which showed a maximum drug release in vitro and ex vivo and extended drug release up to eight hrs. The optimized formulation found to be stable, non-irritant and safe for topical drug delivery. Conclusion: Hence emulgel formulations can be a potential alternative to traditional oral drug delivery systems of Tapentadol to improve its bioavailability.
Toy Models of Universe with an Effective Varying -Term in Lyra Manifold

Research on the accelerated expansion of our Universe captures a lot of attention. The dark energy (DE) is a way to explain it. In this paper we will consider scalar field quintessence DE with EoS, where the dynamics of the DE models related to the dynamics of the scalar field. We are interested in the study of the behavior of the Universe in the presence of interacting quintessence DE models in Lyra manifold with a varying . In a considered framework we also would like to propose a new form for . We found that the models correspond to the transit Universe, which will enter the accelerated expansion phase and will remain there with a constant deceleration parameter . We found also that the is a decreasing function which takes a small positive value with and dominating in the old Universe. Observational constraints are applied and causality issue via is discussed as a possible way to either reject or accept the models.
Movement pathways and habitat selection by woodland caribou during spring migration

Woodland caribou (Rangifer tarandus caribou) are a threatened species throughout Canada. Special management is therefore required to ensure habitat needs are met, particularly because much of their current distribution is heavily influenced by resource extraction activities. Although winter habitat is thought to be limiting and is the primary focus of conservation efforts, maintaining connectivity between summer and winter ranges has received little attention. We used global positioning system data from an interprovincial, woodland caribou herd to define migratory movements on a relatively pristine range. Non-linear models indicated that caribou movement during migration was punctuated; caribou traveled for some distance (movement phase) followed by a pause (resting/foraging phase). We then developed resource selection functions (RSFs), using case-controlled logistic regression, to describe resting/foraging sites and movement sites, at the landscape scale. The RSFs indicated that caribou traveled through areas that were less rugged and closer to water than random and that resting/foraging sites were associated with older forests that have a greater component of pine, and are further from water than were random available locations. This approach to analyzing animal location data allowed us to identify two patterns of habitat selection (travel and foraging/resting) for caribou during the migratory period. Resultant models are important tools for land use planning to ensure that connectivity between caribou summer and winter ranges is maintained.
Distribution of Characteristic Mutations in Native Ductal Adenocarcinoma of the Pancreas and Pancreatic Cancer Cell Lines

Distribution of Characteristic Mutations in Native Ductal Adenocarcinoma of the Pancreas and Pancreatic Cancer Cell Lines Although oncological treatment of pancreatic adenocarcinoma (PDAC) has improved within the last few years, PDAC continues to have a very low 5- year survival rate. Basic research is needed to improve and develop new therapeutic strategies. Pancreatic tumour cell lines (CLs) are a prerequisite for such basic research. However, the isolation of CLs is challenging. Outgrowth of cells is only achieved in a small proportion of tumour samples, although the reason for this poor growth remains unknown.
Assessing Indicators and Limits for a Sustainable Everyday Nutrition

Human nutrition is responsible for about 30% of the global natural resource use. In order to decrease resource use to a level in line with planetary boundaries, a resource use reduction in the nutrition sector by a factor 2 is suggested. A large untapped potential to increase resource efficiency and improve consumers’ health status is assumed, but valid indicators and general guidelines to assess these impacts and limits can barely be found. Therefore we will have a try to define sustainable limits towards the individuals’ daily diet and therefore stimulate current available scientific debate. Within the paper an examination of existing indicators and assessment methods is carried out. We set the focus on health indicators, such as energy intake, and environmental indicators, such as the carbon or material footprint. The paper aims to provide first, an assessment of core indicators to explore the sustainability impact of foodstuff, and second, a deeper understanding and a discussion of sustainable limits for those dimensions of food and nutrition. Therefore we will discuss several ecological and health indicators which may be suitable to assess the sustainabilty impact and indicate differences or similarities. As a result it becomes obvious that several ecological indicators “point in the same direction” and therefore a discussion about the variability and the variety of these indicators has to be faced in the future. Further the definition of sustainable levels per indicator is an essential aspect to get an idea about the needed barriers for a sustainable nutrition, by now first steps had been made, but no binding guidelines are available yet. Therefore the paper suggests a few indications to set up sustainable levels for health and environmental indicators, based on the idea to reduce the resource use level up to 30-50% in 2030.
Development of blended learning based on Google Classroom with osing culture theme in mathematics learning

Blended learning is a learning method that combines offline meetings with online material. The aim of this research is to develop a Blended Learning assisted Google Classroom in learning mathematics with the Osing culture theme for students in Banyuwangi that satisfying, valid, practical, and effective. Osing culture was chosen as a theme of learning aimed at preserving local culture in the society in Banyuwangi. This research uses a Plomp development model research design consisting of three phases, namely Preliminary Research, Prototyping Phase, and Assessment Phase. Blended Learning assisted-Google Classroom in this research was categorized as valid (3,85 out of 4,00) based on the assessment from the validator. Blended Learning assisted-Google Classroom in this research is categorized as practical (90,3%) based on observations of teacher activities and advice from practitioners. Blended Learning assisted-Google Classroom in this research is categorized as effective based on student test results (77.27%), observations of student activities (88,02%) and student response results (84,5%).