Reviewerly/exHarmony huggingface dataset:
A Neighbor-Aware Group Recommendation Algorithm

With the rapid development of e-commerce, how to recommend the groups that are most likely to buy a certain kind of items to the merchants accurately has become an increasing research of scholars. However, the existing group recommendation technology rarely considers the influence of the close relationship between users on user preferences. Thus we propose a group recommendation model NGRN to generate groups and make recommendations. First we extract k-core groups on the social network, the groups meet the conditions that each user has k neighbors at least. Then we get the recommendable probability of candidate groups under different items. At the same time, the validity of this method is verified on two public datasets. Experiment shows our model has a great improvement for recommendation accuracy compared with other models.
The development of rural vocational education under the background of urban and rural overall planning

Under the background of urban and rural overall planning, the circulating funds of rural vocational education have also increased, which has promoted the development of rural vocational education. At present, various problems emerge in the development process of rural vocational education under the background of urban-rural integration, such as backward concepts of rural vocational education and lack of resources, which hinder the development of rural vocational education. This article discusses the development of rural vocational education under the background of township overall planning, analyzes the problems existing in the development of rural vocational education and proposes solutions.
Legal and regional income taxes under the Local Tax Act. A Study on the Calculation of Taxation Standards for Deduction of Tax Amount on Foreign Payments

지방세법은 2014.1.1. 법률 제12153호로 개정되면서 내국법인의 각 사업연도의 소득에 대한 법인지방소득세의 과세표준을 법인세법 제13조에 따라 계산한 금액으로 규정(구 지방세법 제103조의19)하였고, 구 지방세법 제103조의19는 지방세법이 2019.12.31. 법률 제16855호로 개정되면서 현행 지방세법 제103조의19는 법인지방소득세의 과세표준은 법인세의 과세표준과 동일한 금액으로 한다고 규정하였으나, 지방세특례제한법은 개인지방소득세에 대한 세액공제 감면 규정만 신설하고 법인지방소득세에 대한 세액공제 감면 규정을 별도로 두고 있지 않아 법인지방소득세에 외국납부세액공제가 적용되지 않게 됨으로써 이중과세 방지의 취지가 흔들리게 되었고 내국법인의 조세부담이 늘어나는 결과가 초래되었다. 최근 법인지방소득세와 관련하여 논란이 되는 사례(최근 대법원 2020.4.9. 선고 2020두30399 판결, 대법원 2020.3.12. 선고 2019두58698 판결 및 대법원 2018.10.25. 선고 2018두50000 판결)에서는 내국법인이 간접외국납부세액에 관하여 세액공제 방법을 선택하였으나 외국법인세액의 공제 규정 등이 없는 이상 이를 익금에 포함시킬 수 없다고 봄이 상당하므로 간접외국납부세액을 익금으로 불산입하여 법인지방소득세의 과세표준을 산정하는 것이 타당하다고 판시하고 있다. 이에 본 연구에서는 지방세법상 외국납부세액공제와 관련하여 법인지방소득세에 발생하는 불합리성을 분석하여 그 개선방안을 제시하고자 한다. 그러므로 법인지방소득세의 외국납부세액 공제에 대한 개선의 필요성과 그 방안을 분석하기 위해서는 외국납부세액공제 제도 전반을 살필 필요가 있으므로, 본고에서는 법인지방소득세 외국납부세액공제 제도의 일반, 외국납부세액공제 관련 외국제도, 최근 법인지방소득세와 관련하여 나타난 판결 등을 살펴보고 이를 해결하기 위한 입법사항을 제시하고자 한다.The Local Tax Act was amended to subparagraph 12153 of the Act 2014 and defined the standard for taxation of legal and local income taxes on income in each business year as calculated under Article 13 of the Income Tax Act (Article 103-19 of the Local Tax Act), and the Restriction of Special Local Taxation Act only newly established a tax deduction for individual local income taxes and does not provide a separate provision for tax deduction and reduction for legal and exemption for income taxes. In the recent controversial case regarding the income tax on legal and admini- strative capital (the Supreme Court’s 2020.4.9. Sentencing 2020Du30399, the Supreme Court’s 2020. 3 12. Sentencing 2019Du58698 and the Supreme Court’s 2018.10.25. Sentencing 2018 Du50000), a domestic corporation chose the tax deduction method for indirect foreign taxes, but it cannot be included in the pension unless there is a deduction provision for foreign corporate taxes. In this study, we would like to analyze the irrationality that occurs in the income tax for legal and social security in relation to the deduction of foreign payment tax under the Local Tax Act and suggest a plan for improvement. Therefore, to analyze the need for improvement in the deduction of foreign payment tax for legal and regional income tax, and to analyze its methods, we would like to examine the overall foreign payment tax deduction system, foreign system related to foreign payment tax deduction, and recent rulings related to legal and indirect income tax and present legislation to resolve them.
Design of Student Loan Framework in Indonesia

This study aims to design student loan framework in Indonesia which has already implemented in developed and developing countries. The student loan is expected to be an answer to make better education in Indonesia. This study includes discussion about the objective which might be used as the primary reason to make a program, the appropriate student loan scheme which refers to international experiences in particular 5 Asian countries, and the repayment scheme to recover the loans. This study uses qualitative research methods. The study was conducted by reviewing scientific journals relate into international experiences more specifically in 5 Asian countries, interviewing 2 persons as they are representative of Mandiri Bank and Bank CIMB Niaga, and analyzing documents relate into student loan, for instance, BI and OJK regulation. This study provides results in the form of description which is a design of student loan framework that wants to implement in Indonesia. Based on the description, this study is given a recommendation regarding this program which hopefully would be considered in the establishment of the student loan program.
Relevance of Development of Methodological and Organizational Approaches in Ensuring the Autonomous Work of Students

The purpose of the education process is not only to transfer knowledge and skills from a teacher to students but also to develop the students' ability to continuous self-education, the desire to replenish and update knowledge, their creative use in practice and the areas of a future professional career. The article considers the autonomous work of students as a priority and useful type of training based on the independent formation of a knowledge base and designed to help students understand what they need for professional activity. Preliminarily, planning is required for all types of autonomous work in the disciplines of the curriculum (the content of sections, their complexity, time of study and control, development of educational and methodological complexes), the establishment of the teacher's labor costs for managing and controlling students' autonomous work.
A Discussion Game for the Grounded Semantics of Abstract Dialectical Frameworks.

Abstract dialectical frameworks (ADFs) have been introduced as formalism for the modeling and evaluating argumentation. However, the role of discussion in evaluating of arguments in ADFs has not been clarified well so far. We focus on the grounded semantics of ADFs and provide the grounded discussion game. We show that an argument is acceptable (deniable) in the grounded interpretation of an ADF without any redundant links if and only if the proponent of a claim has a winning strategy in the grounded discussion game.
연결어미의 의미 기능과 메타언어 선정에 대하여 - 후행절 제약 양상을 토대로 -

The aims of this paper is to examine the meta-languages for semantic description of Korean connective endings. For this, I inspect the complex clauses that have the semantic and syntactic restrictions of the following clauses. As a result, I suggest the principle of meta-language assessment of connective endings: to focus on the semantic function of connective relation of antecedent clause and following clause. Also, the main function of subordinate connective clause is conjunction rather than modification. So I argue that the clauses that are combined with connective endings, must be the conjunctive clause, not the embedded clause.
Form Subdivisions for Curriculum Materials

Several formats found in curriculum collections do not have representation as Library of Congress form subdivisions. There are form subdivisions that are appropriate for books, such as Juvenile fiction, Dictionaries, and Textbooks. However, form subdivision options are limited for formats such as audiovisuals, games, and kits. There may be appropriate topical subdivisions, but they cannot be used as form subdivisions. With terms adapted from Library of Congress Subject Headings, topical Free-floating Subdivisions, and references related to those vocabularies, this paper promotes increasing the availability of authorized form subdivisions for use in subject access points for curriculum materials.
Comparing word2vec and GloVe for Automatic Measurement of MWE Compositionality

This paper explores the use of word2vec and GloVe embeddings for unsupervised measurement of the semantic compositionality of MWE candidates. Through comparison with several human-annotated reference sets, we find word2vec to be substantively superior to GloVe for this task. We also find Simple English Wikipedia to be a poor-quality resource for compositionality assessment, but demonstrate that a sample of 10% of sentences in the English Wikipedia can provide a conveniently tractable corpus with only moderate reduction in the quality of outputs.
Research on customer complaints in the background of industry 4.0

Purpose: Today, we often hear complaints from customers: poor quality, poor service, expensive prices, etc. Customer complaints are an indication that...
Prescriptive Inductive Operations on Probabilities Serving to Decision-Making Agents

Approximation, extension, and merging of probability distributions support inductive reasoning. They serve to modeling, knowledge, and preference elicitation as well as to a soft cooperation within various decision-making (DM) scenarios. The theory dubbed as the fully probabilistic design of DM strategies unifies the design of these operations on distributions. The unification decreases the danger of their improper choice and use. Still there is an uncertainty how the gained tools should be wielded. This article diminishes it by spelling out conditions ruling their exploitation. This article serves as an updated description of these tools, provides examples of their use, and guides their tailoring to diverse scenarios.
ICTs knowledge and economic growth in Cameroon

The aim of this paper is to examine the effect of the diffusion of ICTs on the economy growth of Cameroon. Conceptual work shows that ICT implementation has a direct and indirect impact on business performance and human capital. As from the previous work design research have been specify and study base on the period going from 1981 to 2017. The application of the techniques of the analysis least squares on these data with Eviews 7.1 permit us to conclude that the main determinants of the economy growth are ICT and human capital (literacy) in Cameroon. Improvement of transparency and good governance remain the necessary requirements to stimulate investments in order to renew growth and development.
Revamping Real Estate Document Storage with Blockchain

This paper reports the usage of blockchain technology in today's asset trade. Blockchain analyses disruptive power towards real estate. The real estate sector's problem is that there are various ways in which high-profile people exploit the authentic user by taking of their land and manipulating the documents. The paper-based documentation linked with real estate is more vulnerable to forgery than digital documents. This paper describes how blockchain is applied to the real-estate sector. The blockchain aims to maintain the history of all real estate transactions and registration in a network using smart contracts. Blockchain allows each property, anywhere, to have a digital address for the ownership and other attributes to maintain all past transactions. Blockchain speeds up the transactions from days/weeks/months to minutes/seconds, which has huge impact on society. This paper describes the solution to ensure the use of blockchain in land records.
The development of the foreign language teacher’s creative abilities in the conditions of continuous vocational education

The phenomenon of creativity is seen by different scientists as an activity, as an aspect of personal development, as a form of intellectual activity, as a synthesis of a personality’s individual psychological peculiarities and new quality conditions. The characteristics of creativity include novelty, high quality of the product, freedom of thought, originality and anomaly (illogicalness). In our research, we will view creativity as an aspect of personal development. In the most general way, creative abilities in the modern psychological and pedagogical sciences are identical to the notion of creativity, which is seen as a general, diagnostically verified capacity for creativity. The most accepted definition of this phenomenon is an individual’s ability to generate extraordinary ideas, find original solutions, and go off the bitten track. The pedagogue’s professional creativity is the ability to generate many diverse original ideas in non-prescribed circumstances of the pedagogue’s activity. It is a dynamic component of the pedagogue’s professionally significant qualities which includes the intellectual, individual, social and emotional components, whose composite development influences the effectiveness of the pedagogue’s performance and its development. This is the pedagogue’s professional creativity which is that very form of realized creative abilities which directly influences the educational process and which represents the necessary level of their development for an effective realization of modern educational technologies.
FSV: Learning to Factorize Soft Value Function for Cooperative Multi-Agent Reinforcement Learning

We explore energy-based solutions for cooperative multi-agent reinforcement learning (MARL) using the idea of function factorization in centralized training with decentralized execution (CTDE). Existing CTDE based factorization methods are susceptible to the relative overgeneralization, where finding a suboptimal Nash Equilibrium, which is a well-known game-theoretic pathology. To resolve this issue, we propose a novel factorization method for cooperative MARL, named FSV, which learns to factorize the joint soft value function into individual ones for decentralized execution. Theoretical analysis shows that FSV solves a rich class of factorization tasks. Our experiment for the well-known task of the Max of Two Quadratics game shows that FSV fully converges to global optima in the joint action space in the continuous tasks by local searching in the joint action space. We evaluate FSV on a challenging set of StarCraft II micromanagement tasks, and show that FSV significantly outperforms existing factorization multi-agent reinforcement learning methods.
Framework to develop low carbon society among school community

Various efforts have been taken to develop a Low Carbon Society in Iskandar Malaysia. These efforts need to be coordinated to ensure high efficiency and effectiveness. This paper discusses the preliminary work to produce an action plan for low carbon education in the state of Johor where the region of Islander Malaysia is a part of it. This qualitative study of efforts starting in 2011 has generated a framework to explain how Low Carbon Society can be developed from among the school community. This includes the directive measure from the authorities, getting buy-in from the stakeholders through engagement and briefing, initiating low carbon efforts, giving recognition, making formative assessment through research and appointing champions. This framework will be useful for other similar community to develop a Low Carbon Society.
Sinew & Ecosystem One: two works driven by a self-regulating performance system

Author(s): Anthony, Kevin Patrick | Advisor(s): Kimura, Mari | Abstract: Musical works and texts historically demonstrate a desire to reconcile composition with improvisation. This text aims to progress the narrative of reconciliation. It outlines the polarized relationship between composition and improvisation. This paper presents tools that aid in their reconciliation. These tools stem from both theoretical and technological contexts. They provide a foundation for a creative work that gives equal weight to its improvisational and compositional components, while fostering a sense of shared purpose. This paper also introduces a new model for interactive performance systems called the self-regulating performance system. Two substantial compositions by the author are outlined and presented; Ecosystem One and Sinew. These works are implementations of the newly presented model. “Sinew a Ecosystem One: two works driven by a self-regulating performance system” is a dissertation submitted to the University of California, Irvine in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Integrated Composition, Improvisation, and Technology by Kevin Patrick Anthony, with Mari Kimura as committee chair.
Strategic Features for General Games

This short paper describes an ongoing research project that requires the automated self-play learning and evaluation of a large number of board games in digital form. We describe the approach we are taking to determine relevant features, for biasing MCTS playouts for arbitrary games played on arbitrary geometries. Benefits of our approach include efficient implementation, the potential to transfer learnt knowledge to new contexts, and the potential to explain strategic knowledge embedded in features in human-comprehensible terms.
Analisis Metakognisi Siswa Pada Materi Bilangan di SDN Banjararum 1 Singosari

This study aims to determine students 'metacognition in number material at SDN Banjararum 1 Singosari, to determine the causes of inhibiting student understanding, and the results of students' metacognition analysis on number material in class V SDN Banjararum 1 Singosari. In this study, researchers used a qualitative descriptive approach in order to determine students' metacognitive abilities in number material at SDN Banjararum1 Singosari. Researchers used research instruments in the form of observation sheets, interview sheets, and questionnaire sheets for students. The research subjects were the principal, homeroom teacher, and fifth grade students of SDN Banjararum 1 Singosari. The data analysis technique in this study is an interaction analysis model, namely data collection, data reduction, data presentation, and drawing conclusions. The validity of the findings of the researchers used triangulation of methods, the research procedure included the preparation stage, the implementation stage, the data checking stage, the data analysis stage, the report writing stage. The results showed that the students 'metacognition on number material at SDN Banjararum 1 Singosari was still low, due to students' lack of understanding of the concept of numbers and the causative factors that inhibited the student learning process and understanding in learning numbers. Lack of students 'understanding of the concept of numbers affects students' metacognition.
Blockchains and the Commons

Blockchain phenomena is similar to the last century gold rush. Blockchain technologies are publicized as being the technical solution for fully decentralizing activities that were for centuries centralized such as administration and banking. Therefore, prominent socio-economical actors all over the world are attracted and ready to invest in these technologies. Despite their large publicity, blockchains are far from being a technology ready to be used in critical economical applications and scientists multiply their effort in warning about the risks of using this technology before understanding and fully mastering it. That is, a blockchain technology evolves in a complex environment where rational and irrational behaviors are melted with faults and attacks. This position paper advocates that the theoretical foundations of blockchains should be a cross research between classical distributed systems, distributed cryptography, self-organized micro-economies, game theory and formal methods. We discuss in the following a set of open research directions interesting in this context.
Library: Using the EBSCO Mobile App: Home

Make progress on your research anytime, anywhere with EBSCO’s mobile app! This guide shows you how to find, install and start using the free EBSCO mobile app.
Cyber Threats Foresight Against Iran Based on Attack Vector

Cyber ​​threats have been extraordinary increased in recent years. Cyber ​​attackers, including government agencies or hackers, have made significant advances in the use of various tools for attacking target systems in some countries particularly on Islamic republic of Iran. The complexity of cyber threats and the devastating effects of them on critical systems highlights necessity of cyber threats Foresight. This research can prepare the country for countering cyber threats based on existing and potential attack Vectors. First of all, 18 major cyber threats drivers base on attack Vectors through reviewing resources and interviewing with seven experts were identified. We use cross-impact analysis Future studies method to indicate main drivers of future cyber threats such as social engineering, Denial of service, ransomwares, spoofing and fraud and non-state actors. Mic Mac software will be used for this step. Finally, future scenarios for cyber threats were identified by using scenario-based approach. Scenario Wizard software will be used. The results of the research include two strong scenarios and 18 possible scenarios, based on the strongest scenario, ransomware, spoofing, fraud, social engineering and Denial of service are the most likely cyber threats by non-state actors through in a limited level
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation

The conventional federated learning (FedL) architecture distributes machine learning (ML) across worker devices by having them train local models that are periodically aggregated by a server. FedL ignores two important characteristics of contemporary wireless networks, however: (i) the network may contain heterogeneous communication/computation resources, while (ii) there may be significant overlaps in devices' local data distributions. In this work, we develop a novel optimization methodology that jointly accounts for these factors via intelligent device sampling complemented by device-to-device (D2D) offloading. Our optimization aims to select the best combination of sampled nodes and data offloading configuration to maximize FedL training accuracy subject to realistic constraints on the network topology and device capabilities. Theoretical analysis of the D2D offloading subproblem leads to new FedL convergence bounds and an efficient sequential convex optimizer. Using this result, we develop a sampling methodology based on graph convolutional networks (GCNs) which learns the relationship between network attributes, sampled nodes, and resulting offloading that maximizes FedL accuracy. Through evaluation on real-world datasets and network measurements from our IoT testbed, we find that our methodology while sampling less than 5% of all devices outperforms conventional FedL substantially both in terms of trained model accuracy and required resource utilization.
Annotating Coherence Relations for Studying Topic Transitions in Social Talk

This study develops the strand of research on topic transitions in social talk which aims to gain a better understanding of interlocutors’ conversational goals. Lưu and Malamud (2020) proposed that one way to identify such transitions is to annotate coherence relations, and then to identify utterances potentially expressing new topics as those that fail to participate in these relations. This work validates and refines their suggested annotation methodology, focusing on annotating most prominent coherence relations in face-to-face social dialogue. The result is a publicly accessible gold standard corpus with efficient and reliable annotation, whose broad coverage provides a foundation for future steps of identifying and classifying new topic utterances.