Reviewerly/exHarmony huggingface dataset:
한국 기업의 對베트남 FDI와 수출 간 인과성 검정

The purpose of this paper is to analyze the Granger Causality relations between Korean FDI and exports in Vietnam using time-series from 2005 to 2019. Using 15-industry semi-annual data of Korean FDI and exports toward Vietnam, the Granger Causality Tests were conducted. Var and VEC models were decided after unit-root and cointegration tests of variables. Findings and implications of the empirical tests are as follows. First, unexpectedly FDI did not Grange-cause exports only in one direction. In two industries, food & beverage and medical & chemical products, there were Granger causality relations in both directions. In eight industries including print, publishig, pulp & paper, exports did Grange-cause FDI. In the rest of five industries including automative & trailer industry, there were no Granger Causality relation in both directions. Second, we presume that the both direction-causality relations are desirable phenomenon for Korea. Because Korean FDI and exports are increasing at the same time. On the other hand, substitution relationship between Korea’s exports and FDI occur in the industry that exports did Grange-cause FDI. Finally, more in-depth researches considering Vietnam’s consumer demand and the oriented characteristics of FDI are needed. The results of this research will contribute to understand structural patterns of FDI and exports in Vietnam and to make investment and export decisions.
Produção e memória do Laboratório de Programação Gráfica da FAU USP: bases para criação de ficha catalográfica

This research is part of a larger project that aims to rescue the editorial production of the Laboratory of Graphic Programming at FAU USP in order to make accessible a collection relevant to the study of graphic design.To this end, it performs the observation, analysis and systematic organization of graphic and editorial pieces produced by the technical section.In an attempt to make this production accessible, unitary digital catalog sheets are created, grouped and organized in a database open to public consultation, structured based on the principles of information design and data organization.
Management and Plan of Undergraduates’ Mental Health Based on Keyword Extraction

Mental health issues are alarmingly on the rise among undergraduates, which have gradually become the focus of social attention. With the emergence of some abnormal events such as more and more undergraduates’ suspension, and even suicide due to mental health issues, the social attention to undergraduates’ mental health has reached a climax. According to the questionnaire of undergraduates’ mental health issues, this paper uses keyword extraction to analyze the management and plan of undergraduates’ mental health. Based on the classical TextRank algorithm, this paper proposes an improved TextRank algorithm based on upper approximation rough data-deduction. The experimental results show that the accurate rate, recall rate, and F1 of proposed algorithm have been significantly improved, and the experimental results also demonstrate that the proposed algorithm has good performance in running time and physical memory occupation.
Analysis of the circle concept understanding based on the learning style of deaf students at SLB Negeri 2 Bantul

This study aims to describe deaf students understanding of the concept of circles based on their learning styles. The subjects in this study were 10 deaf students at SLB Negeri 2 Bantul. The research instruments of this mixed method were learning style test instrument, understanding test instrument, observation guidelines, and interview guides. Analysis of research data was carried out during and after data collection so that the data obtained were arranged systematically and were easier to interpret. In this study, quantitative data analysis was carried out through descriptive statistical analysis by presenting the results of tests of understanding and test results of student learning styles in the form of diagram. Qualitative data analysis was carried out inductively, starting with examining all data from interviews and observations, then data reduction, presentation, and verification until a conclusion was reached. Based on the results of data analysis, it is known that the learning styles of deaf students are visual, kinesthetic and a combination of both (visual-kinesthetic). From the results of the analysis it was also found that the learning styles possessed by students have a relationship and influence on the achievement of student understanding. There are four aspects of understanding the circle that students achieve with scores exceeding the minimum completeness criteria, namely aspects of interpreting, classifying, exemplifying, and comparing. Meanwhile, three other aspects of understanding, namely summarizing, explaining, and inferring are still under the minimum completeness criteria.
Binary Tree Encryption with Constant-Size Public Key in the Standard Model

Abstract Binary tree encryption is an intriguing primitive that enables many practical applications to achieve an increasing important security feature, forward security. However, the public key size of existing constructions grows linearly with the depth of the underlying binary tree in the standard model. To support more secret keys associated with nodes, it is often expected that the tree has a sufficiently large depth. This places a burden on employing it implicitly or explicitly in real world. In this work, we show how to compress linear-size public key down to constant-size public key and give our construction featuring constant-size public key in the standard model. We prove that our construction achieves an improved security, adaptive security, under the matrix decision Diffie–Hellman assumption, which is a generalization of standard $k$-Lin assumption. Moreover, our key-generation, key-derivation and encryption algorithms have lower time complexity than that of the prior construction, leading to further efficiency improvements. To illustrate these improvements in practice, we give an implementation of our construction and the prior one and then evaluate the performance in the tree depth.
Deep Learning Approach for Enhancing Fault Tolerance for Reliable Distributed System

Data in distributed system is dispersed in a structured, unstructured or semi-structured format. Data is distributed across various institutions organizations or individuals. These institutions are analogous to the working nodes. This dispersed data needs to be handled properly in two respects one for ensuring data security and privacy another is enhancing fault tolerance. Data security and privacy has become a prime concern for data centric applications. Robust fault tolerant platform is required for smooth functioning of the distributed system. The intuitive and robust model FedLearning is framed for distributed learning. FedLearning is based on ensemble learning, in which neural network models are deployed independently on each data unit at the local working node. All the local working model’s parameters are combined and collected by the secure coordinating nodes. Federated learning performs the coordination among the working nodes. Coordination prevents the failures of individual working machines.
An Analysis of the Effectiveness of the Teacher Qualification Training Program Before and During the COVID-19 Pandemic

This study sought the groundbreaking change in the direction of teacher training at the present time towards the future-oriented educational paradigm change in preparation for the post-corona era through the basic researches on the training environment of the General Education and Training Institute.Through this, the future-oriented teacher training and the direction of research with characterization, specialization and differentiation of the teacher training were suggested.The current teacher training operation in the traning environment of the post-corona has many difficult limitations, thus, a more innovative teacher training environment should be constructed and the re-establishment of teacher training should be sought.In order to attain the purpose, researcher analyzed prior literatures related the teacher traing program based on the analysis results, extracted analysis tool and questionnaire, and then, conducted survey method.To evaluate the analysis of satisfaction and trend of the teacher qualification training program by General Education and Training Institute of the Korea National University of Education for the past four years, this study compared and analyzed the satifaction of teacher qualification training program of the pre-corona period from 2017 to 2019 and the teacher qualification training program in the corona era in 2020 including comparative analysis of the effectiveness of teacher training programs of the pre-corona and corona-era.The data were compared and analyzed to suggest the meaningful direction and operational plan for the innovative teacher training in preparation for the future and the post-corona period.Therefore, the results for this study are intended to help in proposing changes in the teacher qualification training program and also providing basic data for the educational study.
O Método Arqueológico de Foucault: Uma perspectiva do Design da Informação

This paper presents and discusses the method introduced by Foucault in The Archeology of Knowledge (1969) and the possibilities it offers to the field of Information Design.At the outset, the relation of poststructuralist thought -which includes Foucault's contributions at the turn of the 1960s -is contextualized, based on the example of the Cranbrook Academy of Design.Next, the overlapping spaces between the two themes, that were not covered by that North American school experience, are discussed.From there a description of the Archaeological Method and of the main concepts used by Foucault in this activity is realized, by means of looking at design artifacts "monumentalized" by Information Design as a discipline.Finally, the possibilities of application of this method in Design research are discussed, considering the transposition from its original environment in the history of natural and human sciences.
Heat Treatment and Knife River Flint Folsom Point Manufacture

Heat treatment is a technological option, and the decision to heat treat may change with changing circumstances. Determining whether heat treatment was a part of Folsom point production has long been considered an important problem in evaluating techniques of fluting. Heat treatment should be explicitly accounted for in any descriptive model of Folsom point production, whether present or absent. Folsom stone-workers may have heated preforms prior to fluting, but the attributes used to identify heat treatment in specific raw materials need to be explicitly described. Neither the presence nor the absence of heat treatment should be assumed; it should be empirically demonstrated by the analysis of Folsom points and related debitage. Heat treatment is the heating of stone in a controlled manner to bring about desired changes in flaking characteristics as a part of stone tool manufacture. The apparent lack of heat treatment of Folsom points and preforms at Bobtail Wolf contrasts with the situation reported for Lindenmeier.
PREDIKSI VOLUME PENJUALAN GAS PT PGN (PERSERO) MENGGUNAKAN REGRESI LINEAR BERGANDA

PT PGN (Persero) gets an erratic gas sales volume every year, this can affect the existing gas supply. If the existing gas supply can't fulfill the demand or vice versa, the existing supply becomes excessive and affect company performance. Of these problems, it is necessary to predict sales volume to determine future inventory. This research uses Multiple Linear Regression Algorithm by applying the Cross-Industry Standard Process for Data Mining (CRISP-DM) method. The Multiple Linear Regression Algorithm aims to find the value of the regression equation, after getting the regression equation, the next step is to do it. Error analysis to determine the accuracy of predictions using MAD, MSE, and MAPE through R.Studio software. From the processing results, the results obtained from the sales volume in 2016 amounted to 109 443.97, 2017 amounted to 79 521.42, 2018 amounted to 102 059.01 and in 2019 amounted to 86 799.89 at PT.PGN (Persero). Then with the resulting error analysis, the MAD value is 27741.58, the MSE value is 791516224.16 and the MAPE value is 27.18%.
Efforts to Prevent FFB Theft in Plantation SOEs through Optimizing CSR Funds by Involving the Police

The main objective of establishing a Plantation BUMN, especially for the production of palm oil, is to obtain economic benefits and state revenues to realize public benefits.One of the factors that cause state-owned plantation companies to suffer losses is because of the rampant palm theft.This study discusses the problem of palm oil theft in state-owned plantations in terms of prevention through optimizing CSR funds by involving the role of the National Police.The urgency of efforts to prevent palm oil theft by involving Babinkamtibmas, Ditpamobvit, and Korsabhara is carried out to focus on pre-emptive and preventive efforts.This research method is normative juridical and qualitative analysis.The results of the study found that the increasing number of cases of palm oil theft in stateowned plantations caused economic losses for companies, investors, and the state.It was concluded that efforts to prevent palm theft in state-owned plantations through optimizing CSR funds by involving the assistance of the National Police were very effective in reducing or at least reducing the rate of palm theft, which in turn could increase the value of palm fruit production, increase company revenues and state revenues from plantation products.So that the state's goal of establishing Plantation SOEs is maximally achieved in the context of implementing public benefits such as fulfilling the needs of many people.It is hoped that the State-Owned Enterprises Plantation will form a partnership with the National Police by focusing on pre-emptive and preventive measures to prevent and reduce palm oil theft by the CSR mandate in the Company Law.
Assignment of Reviewers and Litdimas Assessment Process on Sirip UPN “Veteran” East Java

LPPM is an institution that manages research and community service activities at University of Pembangunan Nasional “Veteran” Jawa Timur. Research and community service management activities in universities are accommodated by a system that regulates the research and community service activities. The big system is called SIRIP (Sistem Informasi Penelitian dan Pengabdian Masyarakat) that build since 2016. This year we build sub system from Sirip that called SIVENI (Sistem Verifikasi dan Penilaian Litdimas). This system can also display report information to its users. Purpose of this research is to create a system that is capable to facilities LPPM for assignment of reviewers and assessment process on SIRIP UPN "Veteran" Jatim. In this system, litdimas proposal documents are uploaded by lecturer. Furthermore, LPPM as manager has duty to verify the proposal document. LPPM appointed several lecturers as reviewers. Reviewers give grades on proposals uploaded by lecturers. This research is expected to provide solutions for LPPM in proposal verification and proposal assessment activities in research and community service that can be used routinely or continuously. Final result of this system is give ranking of proposals submitted by lecturers, so that this becomes data for LPPM in determining which proposals for litdimas which are given funding.
Blockchain - 'Like a Locked Train'

Blockchain is a term that has been increasingly encountered in recent years in connection with digitization. The concept became known mainly through the cryptocurrency Bitcoin, which was introduced in 2008 and implemented in 2009. But what is the blockchain actually and why could it soon have a big influence on our everyday life?
PENERAPAN ARSITEKTUR METAFORA PADA PERANCANGAN MUSLIM FASHION CENTER DI JAKARTA SELATAN

The development of the era affects the development of fashion from time to time. Fashion is synonymous with a person's lifestyle, because fashion is a style that refers to a way of dressing that is trending or popular in society. The development of Muslim fashion is currently growing very rapidly, it can be seen from the increasing number of Muslim women who wear the hijab. Nowadays hijab is increasingly recognized and loved by various age groups, this is what makes Muslim fashion continue to grow.South Jakarta has the potential as a business center, especially in the fashion sector. The Muslim Fashion Center is designed as a place for work, entertainment, and shopping for designers and Muslim fashion enthusiasts to express their creativity and increase knowledge about the Muslim fashion world. In this design using Metaphoric Architecture, to create a harmonious and attractive building that makes the building more expressive and characterized by the function of the building as a Muslim Fashion Center.
PEMANFAATAN MEDIA INTERNET SEBAGAI SUMBER BELAJAR PADA SISWA SMA NEGERI 1 JARAI KABUPATEN LAHAT

This study aims to determine the use of internet facilities by students of SMA Negeri 1 Jarai Lahat Regency. The internet facilities referred to include the use of sites at SMA Negeri 1 Jarai which are accessed by students with regard to assignments given by the teacher and subject scores. This research is a qualitative research that does not use statistical numerical methods. In this study the researcher is the main instrument (keyinstrument). The essence of the researcher as the main instrument is applied in the use of data collection techniques. Data collection techniques in research methods include: interviews, observation, and documentation. The results of this study describe the function of the internet in the learning process so that students can look for learning resources, extracted materials, the process of improvement that generates new ideas and the factors that influence it
Cancer Detection with an Image Processing Application

In this study, image processing algorithms and their performances are examined.In the first part of the study, image processing, color space, functions and frameworks that can be used in C# are studied.As a result of obtaining the necessary information, an algorithm has been written that turns existing images into gray.Then, Median filtering was applied to the image in order to increase the quality of the image.Threshold algorithm was used to clarify the region after filtering.Finally, Sobel edge detection algorithm was used for image processing.Machine learning was used to decide whether the tumor region detected after image processing is cancerous or not.A dataset and NaiveBayes Class are used for machine learning.In summary, the project determines the tumor area with image processing and tells whether the tumor is cancerous with machine learning.
Round Robin Load Balancer for the Three Node Swarm Cluster for Hosting a Service on the Cloud

In this project we will be creating an application which uses socket programming for communication and all of the data/metadata are saved in mongo DB. We will be taking this application and hosting it on a 3 node swarm cluster. This cluster will be using Docker swarm technology to create a private network through which each of the nodes can talk to each other along a specified RPC port. So, based on this concept we will be making a Docker container which will handle the execution of multiple processes which lead to working of different projects concurrently. Docker is a PC program that performs working framework level virtualization otherwise called containerization.
Library Website & LibGuides: Document Delivery Services : The Top List of Academic Search Engines

Document Delivery Service (DDS) is a service for KAUST students, faculty and staff to request full-text articles and book chapters (maximum 3 chapters) not available in the Library sources.
Digitala medier i engelskundervisningen för årskurs 4-6 : En uppsats om hur undervisning med digitala medier kan påverka elevers inre motivation att lära sig engelska

The aim of this essay is to examine how digital media are used during English teaching in Sweden for students in grades 4-6. The reason is that students in those grades practice a lot of English ou ...
Fuzzy Optimization Model of Human Capital Development of the University’s Department

Under the conditions of stiff competition and limited resources, the University management in the implementation of the strategic development program faces with the problem of forming the optimal portfolio of investment projects, taking into account existing project risks. One of the priority areas of investment is human capital of the organization and its increase is an important condition for sustainable development and achieving the university’s strategic goals. This study describes the design of the fuzzy dynamic model of optimal distribution of investments in human capital of a university’s business-unit between employees, in the areas of investment and years for possible promotion to achieve the strategic goals of the business-unit. To estimate uncertainties in the calculation of numbers of the objective function, part of the model’s input parameters is given in the form of term-sets of linguistic variables which are moved into fuzzy numbers. As an example, we consider the problem of forming the optimal structure of distribution of investments in the department’s human capital of Russian and Chinese universities. Comparative analysis of the obtained results has been done.
Kontribusi Pembelajaran E-Learning Melalui Media Whattsapp Terhadap Motivasi Belajar Siswa di MI Badrissalam Tahun 2020

The purpose of this study is: (1) to know contribution e-learning through WhatsApp media to student learning motivation (2) to know how much the contribution of e-learning through WhatsApp media to student learning motivation. The research uses a quantitative approach with the type of ex post facto. Data collection techniques used quitionnaires and documentation. The data source was obtained from a random sample of 96 students at MI Badrissalam. From results of this study it can be concluded that (1) e-learning through WhatsApp media contributes to the learning motivation of students at MI Badrissalam in 2020. This is based on the t test it is known price (2.02553) is greater than with a significance level of 5% (1.9885). (2) E-learning through WhatsApp media low contributes to the learning motivation of students at MI Badrissalam in 2020. The coefficient of determination is 0.04182 or 4.1%. So it can be interpreted that e-learing through WhatsApp media has influence of 4.1% on student learning motivation, and 95.9% is determinated by other factors such as the learning environment, family factors. Both from inside the student although from outside which is not examined by the researcher.
Laboratory Works with Digital Resources… – Motivative Means of Research for High Schools Pupils in Biology

The teacher’s competence to select the most efficient methods, necessary for research using digital tools, is an imperative of modern didactics. The combination of digital skills and research methods helps pupils get involved in investigating the living world. Digital sensors enhance the applicative and interdisciplinary nature of laboratory work in Biology. The recorded results help young researchers discover scientific truths of processes and phenomena in nature. The conclusions formulated generate existing reflections on the processes and phenomena in the surrounding reality. Thus, we can mention that the digital Biology laboratory improves the quality of the instructive-educational process of the Biology discipline.