Miracle-dz/UniFAR-FTUs huggingface dataset:
Integrated Model for Green Purchasing Intention and Green Adoption: Future Research Direction

People around the world realize that environmental concerns are one of the urgent problems facing every community. Green marketing practice is now expanding to the Asian region where environmental threats are disturbing governments and citizens. Environmental management and protection take a prominent place on the globe, where environmental pollution already harms the bio – diversity. The lack of adequate environmental legislation, weak policy decisions together worsened the situation. Therefore, immediate action is needed to protect the nation's environmental resources for the benefit of current and future generations. Since consumption is unavoidable for human existence, the green product is regarded as a means of reducing the environmental effects of human consumption. The introduction of green products in the consumer market has offered a better direction of consumption by decreasing the negative environmental effects of consumer products. Therefore green marketing was chosen as the theme to underpin the study. Green consumerism was chosen as the central theme in the green marketing paradigm. As a result, the integrated conceptual model was constructed to predict purchase intention and behavior towards green products. Altogether, eight antecedents as environmental attitude, environmental knowledge and awareness, perceived consumer behavior, habit, subjective norms, price, brand image, marketing information were incorporated in to the proposed model. Thus, the suggested model is regarded as the extensive model to predict intention towards green products. Furthermore, this model can indeed be introduced among customers at a global level to assess purchase intention and behavior towards green products.
Synthesis of a Scannable Pattern for 3D Cubic Antenna Arrays

ABSTRACT The design of antenna arrays in a cubic geometry is presented in this paper. The decision variables considered for this synthesis problem are: the amplitude and phase excitations. The synthesis process is carried out by the technique of DEMO (Differential Evolution for Multi-objective Optimization) and NSGA-II (Non-Dominated Sorting Genetic Algorithm). Simulation results detailed by using an antenna array with isotropic elements and with circular patch antenna optimized by DEMO and NSGA- II are provided and compared. The disk patch antenna is formulated by the well-known cavity model. Furthermore, in order to discover which design case could provide a better performance in side lobe level, directivity, and the dynamic range ratio, a comparative analysis of the performance of the optimized design case with a conventional-phased cubic array is undertaken.
Beam division multiple access system and method for mobile communication system

This invention relates to a beam division multiple access system and method for multiple access to divide a beam of the base station and the terminal in the cell of the mobile communication system. In the base station, a communication initial stage according to the invention, the terminal that the mobile station determine the initial and terminal information receiving unit and the position and the moving speed of the terminal from the terminal the initial information of the initial and terminal information receiving unit receiving terminal initial information transmitted by omnidirectional and position and velocity determination unit and the terminal position and velocity position of the terminal transmitted from the determination unit and the moving speed information and generates a downlink beam based on down to control the width and direction of each downlink beam link beam-generating section, wherein the downlink beam generated in the downlink beam-generating portion and comprising a downlink transmission beam for transmitting to the terminal using a satellite antenna array, A terminal according to the invention, the terminal to determine the current terminal location and the moving speed position and velocity determination unit and, with the initial and terminal information transmitting section for transmitting to the base station to the terminal the initial information including the current position and moving speed of the mobile station with an omnidirectional , uplink beam generator and the uplink beam to a downlink beam receiving unit for receiving a downlink beam from the base station, by tracking the direction of the downlink beam received via the downlink beam receiving unit generates the uplink beam It comprises parts of the uplink beam generated by the generator uplink beam transmitter for transmitting to the base station. Beam division multiple access, BDMA, a cellular system, a phased array antenna
Evaluation of Selected Control Programming Languages for Process Engineers by Means of Cognitive Effectiveness and Dimensions

Different programming languages can be used for discrete, abstract and process-oriented programming. Depending on the application, there exist additional requirements, which are not fulfilled by every programming language. Flexible programming and maintainability are especially important requirements for process engineers. In this paper, the programming languages Activity Diagram, State Chart Diagram and Sequential Function Chart are compared and evaluated with regard to these requirements. This evaluation is based on the principles of cognitive effectiveness and cognitive dimensions. The aim of this paper is to identify the programming language suited best for controlling sequential processes, e.g. thermomechanical or batch processes.
A Survey On Page Ranking And Search Engine For Query Log

: Ranking methods have come a long way in past years with the beginning of the space vector models, various feature based approaches been proposed. Search engines are allowing the individuals to specify the queries simply as the keywords lists, following approach of the retrieval of the traditional information type systems. SEO is way of improving visibility of website or a webpage in the search engine by natural search or unpaid searched results. In optimization of search engine updating or modification of all variables to get a better location in search engine take place. Recommending the users with most useful keywords search not only to enhances the search engine’s hit rate, but helps individuals to find the desired type of information more instantly. Behind such types of query the recommendation also interfaces, the important role is played by query log study. Clustering is a learning which is called an unsupervised not supervised learning like Classification. In the clustering method, dataset objects are then grouped into the clusters, in a way that the groups are different from one other ,the objects which are in same group or the cluster are identical to the each other.
Osteoarthritis Severity Determination using Self Organizing Map Based Gabor Kernel

The number of osteoarthritis patients in Indonesia is enormous, so early action is needed in order for this disease to be handled. The aim of this paper to determine osteoarthritis severity based on x-ray image template based on gabor kernel. This research is divided into 3 stages, the first step is image processing that is using gabor kernel. The second stage is the learning stage, and the third stage is the testing phase. The image processing stage is by normalizing the image dimension to be template to 50 □ 200 image. Learning stage is done with parameters initial learning rate of 0.5 and the total number of iterations of 1000. The testing stage is performed using the weights generated at the learning stage. The testing phase has been done and the results were obtained. The result shows KL-Grade 0 has an accuracy of 36.21%, accuracy for KL-Grade 2 is 40,52%, while accuracy for KL-Grade 2 and KL-Grade 3 are 15,52%, and 25,86%. The implication of this research is expected that this research as decision support system for medical practitioners in determining KL-Grade on X-ray images of knee osteoarthritis.
Economic growth and poverty reduction: the role of the agricultural sector in rural Indonesia

Agricultural sector has emerged as the engine of economic growth in Indonesia. The sector is expected to contribute to poverty reduction in rural areas which is the largest contributor to poverty in Indonesia. Growth in the agricultural sector can induce the growth of the non-agricultural sector through linkages between the two sectors. Thus, the growth of the agricultural sector is not only a positive impact on poverty reduction through the rising of incomes in the sector, but it can also encourage non-agricultural activities in rural areas. This study aims to determine how much the growth of the agricultural sector impacts on the non-agricultural sector in rural areas and how much the growth of these two sectors impacts on poverty reduction in rural areas. Data used in this research is panel data from 2002 to 2008. Data are analyzed using simultaneous equations model estimation and the estimation of panel data regression model. The results of simultaneous equations model analysis show that growth in the rural agricultural sector by 1 percent will induce the growth of the rural non-agricultural sector at 1.35 percent. Meanwhile, the results of estimation of panel data regression model reveal that productivity growth in both the agricultural and the non-agricultural sectors in rural areas by 1 percent will reduce the rural poverty rate by 3.91 percent and 3.97 percent, respectively. Both these findings affirm that the agricultural sector is still the driving force of economic growth and is critical to the success of poverty alleviation in rural areas. In addition, the government also needs to develop the non-agricultural sector to support poverty alleviation efforts.
Deflationism about representation in philosophy of modelling

Faculty of Social Sciences Laitos – Institution – Department Department of Political and Economic Studies Tekijä – Författare – Author Pääkkönen, Juho Ilmari Työn nimi – Arbetets titel – Title Deflationism about representation in philosophy of modelling Oppiaine – Läroämne – Subject Social and Moral Philosophy Työn laji – Arbetets art – Level Master’s thesis Aika – Datum – Month and year December 2016 Sivumäärä – Sidoantal – Number of pages 97 Tiivistelmä – Referat – Abstract
SISTEM PAKAR PENGENALAN BAKAT DAN MINAT ANAK DENGAN METODE FORWARD CHAINING

Every human being has an interest, and a different talent. Interest is a strong impetus for a person to do something he wants. Talent itself is an existing ability or innate or the ability that can be trained to master the things that interest. The potential of the child should be stimulated in advance so that it can be seen as a skill, knowledge and skillfulness that becomes the provision of his life. One way to recognize the child's talents and interests requires a test to understand the temperament and personality of the child, to understand multiple intelligences and to recognize the direction of the child's interest. The test is applied to an expert system using the Forward Chaining method to help determine the type of intelligence in the child. Each type of child intelligence has several potential talents and special interests of the child. The expert system is implemented in a Visual Basic 6.0 programming language. The results of this study in obtaining an alternative decision to recognize the type of intelligence of children who show potential talents and interests of children. So that talent can be further developed. Keywords: Talent and Interests, Forward Chaining, Expert System
Recognition of Human Actions Based on Temporal Motion Templates

Despite their attractive properties of invariance, robustness and reliability, statistical motion descriptions from temporal templates have not apparently received the amount of attention they might deserve in the human action recognition literature. In this paper, we propose an innovative approach for action recognition, where a novel fuzzy representation based on temporal motion templates is developed to model human actions as time series of low-dimensional descriptors. An NB (Na¨ıve Bayes) classiﬁer is trained on these features for action classiﬁcation. When tested on a realistic action dataset incorporating a large collection of video data, the results demonstrate that the approach is able to achieve a recognition rate of as high as 93.7%, while remaining tractable for real-time operation.
Deviant security: the technical computer security practices of cyber criminals

The dominant academic and practitioners’ perspective on security evolves around law-abiding referent objects of security who are under attack by law-breaking threat agents. This study turns the current perspective around and presents a new security paradigm. Suspects of crime have threat agents as well, and are therefore in need of security. The study takes cyber criminals as referent objects of security, and researches their technical computer security practices. While their protective practices are not necessarily deemed criminal by law, security policies and mechanisms of cyber criminals frequently deviate from prescribed bonafide cyber security standards. As such, this study is the first to present a full picture on these deviant security practices, based on unique access to public and confidential secondary data related to some of the world’s most serious and organized cyber criminals. Besides describing the protection of crime and the criminal, the observed practices are explained by the economics of deviant security: a combination of technical computer security principles and microeconomic theory. The new security paradigm lets us realize that cyber criminals have many countermeasures at their disposal in the preparation, pre-activity, activity and post-activity phases of their modi operandi. Their controls are not only driven by technical innovations, but also by cultural, economical, legal and political dimensions on a micro, meso and macro level. Deviant security is very much democratized, and indeed one of the prime causes of today’s efficiency and effectiveness crisis in police investigations. Yet every modus operandi comes with all kinds of minor, major and even unavoidable weaknesses, and therefore suggestions are made how police investigations can exploit these vulnerabilities and promote human security as a public good for all citizens. Ultimately, the findings of this socio-technical-legal project prove that deviant security is an academic field of study on its own with continually evolving research opportunities.
Increased Costs or an Incentive for Change? Red tape and Public Officials’ Attitudes toward Public Participation

Red tape is identified as a destructive organizational force that reduces officials’ motivations and slashes organizations’ performances. However, research on the effects of red tape on public officials’ attitudes toward public participation has thus far remained inconclusive. Shifting the focus to rules and their characteristics, this study examines how rules’ lack of functionality and rules’ compliance burden affect public officials’ attitudes toward public participation, and validates the job-centered red tape measurement instrument. Based on a sample of n = 879 municipal public officials, this study reports the results of a structural equations model in which rules’ lack of functionality were positively associated, and rules’ compliance burden were negatively associated with respondents’ public participation attitudes. These results indicate that red tape is too complex a construct to be captured by a one-dimensional instrument, especially in relation to attitudes toward public participation. 1 This project has received funding from the European Commission (H2020) under grand number: 726755; project CITADEL.
Thematic texts generation issues based on recurrent neural networks and word2vec

Urgency of the research. The problem of natural language generation is becoming more actual in recent days due to the growing demand for automated generation of object descriptions, article excerpts, news summaries, passages in microblogging services, response messages used by chat bots, etc. Thus, the problem is to generate a text given the context. This paper deals with the problem of generating text specifically in Russian since each language group requires an individual approach.Target setting. There is no method to generate thematic texts automatically, especially in Russian language, that gives well-interpreted and suitable results.Actual scientific researches and issues analysis. In the past few years, more articles have been devoted to the topic of generating thematic texts, due to the emergence of new methods for sequences generation using recurrent neural networks. However, approaches related specifically to thematic texts generations, in Russian are insufficiently explored.Uninvestigated parts of general matters defining. This article focuses on a study and analysis of the proposed approach for generating Russian-language thematic texts. It is specialized in one language group and specific approach in terms of model selection.The research objective. Create model trained on a group of short passages that identifies a context of a text and as output generates a well-interpreted natural text in Russian.The statement of basic materials. The analysis of the joint use of the RNN and word2vec models is conducted. Approaches for the transformation of the input text, analysis of sentences structure, prediction of subsequent parts of speech, prediction of following words and the general model structures are proposed. The results of the models are appeared to be well interpreted and meaningful.Conclusions. The iinterpretability, structure and parameters of the models that showed the best results for the generation were analyzed. The approach proved to be good for generating thematic texts. The results and analysis of the subsequent steps are given.
OWNERSHIP AND SEGMENT DISCLOSURE: MODERATING EFFECT OF COMPETITIVENESS IN MALAYSIA

This paper aims to investigate whether firm and industry level of competitiveness has had a moderating effect on the level of segmentdisclosure, prior to the introduction of IFRS 8 – operating segments for companies, with differing ownership structures in Malaysia. A selfconstructedsegment disclosure index using data was drawn from firms listed in the Malaysian stock exchange for the period of 2006 to 2008.A total of 1,752 firm-year observations were used. The results show that competitiveness, either at the firm level or industry level experienced noeffect on the extent of segment disclosures during the duration of pre-IFRS 8. However, the findings suggest that accounting qualifications of auditcommittee members, sizes of firms, years of listing, profitability and analyst following of the firms have significantly explain the extent to which segmentinformation was disclosed in Malaysia. Keywords: Segment disclosure, ownership concentration, emerging market,competitiveness
Mobile Application for Improving Speech and Text Data Collection Approach

This paper describes our work in developing a mobile application for collecting language speech and text data. The application is built to assist linguists or researchers in simplifying their tasks in data collection who of native speakers living in remote interiors. Researchers rely on numerous apparatus to carry out their tasks to capture audio or text from far to reach places, but with this mobile application, they would only need to carry one device, which can ease their logistics troubles. The mobile app, named as Kalaka, is designed for users to store details of native speakers, record speech and insert speech transcripts all in one platform. Kalaka is built on the Android platform, which allows data stored in the mobile device to be transferred to a cloud storage using WiFi networks. Usability tests performed in respondents shows, all participants in the evaluation are able to use the application to record their voices and save texts. We also received positive feedbacks on the mobile application from our survey, with more than half of the respondents gave their confidence using Kalaka and they would use the system frequently.
Who are the Stakeholders Mentioned in Cases of Product-Service System (PSS) Design?

Product-service systems (PSS) are solutions that integrate product and services in order to fulfill the customers’ needs by means of greater value in use. Multiple stakeholders should be involved in the design process for the development of a successful PSS value proposition. However, it is not clear who could be the potential stakeholders of a PSS. The aims of this study are to consolidate the stakeholders cited in PSS case studies and to reveal the terms used to refer to “stakeholder” in PSS literature. A systematic literature review was carried out, and an inductive content analysis procedure was applied. A total of 28 stakeholders were listed from the selected studies, whose PSS cases were classified as use- oriented or result-oriented services. Multiple terminologies are used to refer to stakeholders. This study contributes for showing the potential stakeholders that can be involved and engaged in the PSS design and operation. Also, it indicates the terms from which they can be addressed in the PSS literature.
Exports Performance of Nepal: What Can Be Done?

What can be done to improve the export performance of Nepal? is an important question as the Nepal’s progress on export is not satisfactory. Yes, the performance has not met the expectation of the stakeholders and even of the policymakers. In addition to the detailed descriptive analysis, I use a standard gravity modelling technique to answer this question using SITC, 5 digits data for the period 2005-2018. The econometric estimation results suggest that, Nepal could not gain meaningfully from its earlier steps in the liberalization and reform procedures rather its loosing export position. To come out from this situation, the estimated results suggest that Nepal’s should focus on some products that have high-value to weight targeting to reduce the transportation costs meaningfully. Nepal should adopt specific strategies, such as, build trade and manufacturing-focused infrastructure, initiate for bilateral trade agreements, improve the quality of the governance side by side of the reform process and second generation reform programs, tie up the education with national production system, and adjust the exchange rate system making more export friendly.
Mexican Migration to the United States: Selection, Assignment, and Welfare

This paper quanti fies the effects of Mexican migration to the United States on individual welfare along the continuous distribution of skills in both countries. We develop a model that focuses on the sorting of workers within and across national labor markets. Mexican workers self-select into migration, and then, within each country, all workers match with productivity-differentiated fi rms. Firms operate in monopolistically competitive international markets, which they can freely enter or exit. These features of the model ensure that workers with similar skills are substitutes and dissimilar workers are complements. Thus, migration redistributes welfare in the source and host country. In particular, the observed Mexican immigration to the United States depresses the wages of below-median local workers. However, the welfare losses in the United States are modest in scope: A $1.70 per day lump-sum tax on Mexican immigrants is sufficient to fi nance a compensating transfer for all U.S. citizens.