Reviewerly/exHarmony huggingface dataset:
Cooperative Relationship Prediction between Scholars in Heterogeneous Academic Network

The real academic network belongs to a heterogeneous network, therefore, for the link prediction tasks, some information on the network may be lost if only using homogeneous network methods. In order to make good use of the rich semantic information in a heterogeneous network for better predicting the cooperative relationship between scholars, this paper proposes a cooperative relationship prediction (CoRP) model. The CoRP model includes the following three steps. Firstly, a structural feature extraction module is designed based on meta path by using the similarity metric function to measure the meta path similarity between scholars. Secondly, to overcome the defects that the existing methods usually ignore the attribute information on nodes, three attribute feature presentation functions are constructed to fully utilize the attribute information of scholars in the academic network. In the end, a machine learning classifier which combines the structural similarity and attribute similarity is utilized to learn each attribute feature and complete the task of cooperative relationship prediction. The experimental results reveal that compared with the benchmark method, the proposed method has better performance and interpretability with improvement from 3&#x0025; to 10&#x0025; of AUC value for the AMiner academic data set.
Modeling User Interest Changes with Dynamic Differential Graphs for Item Recommendation

User interests are significant components in recommendation systems. Modeling user interests based on users' historical behaviors is a challenging problem, and many recommendation models have been proposed for user interests modeling, such as long-term and short-term interests modeling. In the real world, users' interests always change over time, however, existing models rarely consider users' interest changes. The purpose of this research is to apply graph neural networks to capture users' interest changes. This research first conducts data analysis on two public datasets, and results show that there are considerable amounts of users with a trend of interest changes. Based on this analysis, we construct user-category dynamic differential graphs, and we design a novel neural network based on dynamic differential graphs to learn users' interest changes representations from dynamic differential graphs. The learned representations are integrated with long-term and short-term interest representations to get users' final representations and make recommendations by getting scores with items. Different types of experiments are conducted to evaluate the performance of our proposed model, and experiment results show that the proposed model outperforms other baseline models.
Cyber-Attack: Its Definition, Regulation, and ASEAN Cooperation to Handle with it

The development of technology brings changes in human life, and the shift of most human activities to cyberspace is now a challenge for every country in the world. Cyber-attacks are crimes that have developed rapidly with the development of information communication and technology (ICT). Due to its impact, cyber-attacks can be considered as a crime called a crime of aggression. The focus of this paper is to determine the urgency of regulating cyberattacks as a crime of aggression and to find out the extent to which the international community has made cybercrime the focus of contemporary crime research, which is referred to as a crime of aggression. This paper shows that international cooperation is needed to create an international regime that is respected and universally accepted by the international community in relation to cyber-attacks, which can also be referred to as crimes of aggression. It is because cyber-attacks in its nature are transnational crimes and need a cooperation such as the framework of ASEAN to deal with.
Devonshire-Ginzburg-Landau phenomenological study of ferroelectric properties of PbTiO3 thin films.

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Game pedagogical technologies and soft-competencies of a teacher of secondary vocational education

The relevance of the topic is due to the need to defi ne the concepts of “game pedagogy”, which is a means of developing a person’s personal potential with the help of game pedagogical technologies, as well as “soft-competence”, which means universal socio-psychological qualities that are not directly related to solving professional problems, but aff ecting success employee. The experience of participation in the competition “Pedagogical vocation 2021”, organized by JSC “Russian Railways”, is presented. The competition was held by the Unicum-Skills company, which specializes in the introduction of gaming technologies, the development and implementation of games. The theoretical foundations of training a teacher of a new formation — a game teacher, who is able to solve professional problems and has a formed culture of refl ection and design, who has “fl exible” skills and transfers them to students, are considered. The issue of pedagogical activity and the search for a universal teaching technology that can form an increase in motivation for learning, modern needs for creative thinking are considered. It is shown that participation in pedagogical skill competitions contributes to a positive change in the main indicators of the personality of teachers, as well as to an increase in the eff ectiveness of the educational process. The teacher is given an important role in the formation of future specialists as competitive workers and individuals, the teacher does not just implement the curriculum in the learning process, but is engaged in compiling educational content and updating it.
Implementation of Fake News Detection Using Long Short Term Memory Method Base on Android

Technology is a part of industrial revolution that can make human easier to receipt informations and news. In 2019, 63,3% Indonesian people already have personal smartphone and owning a smartphone can indicate an accelerator to getting news. But it is an opportunity for irresponsible people to share fake news. Therefore it is necessary to make a system to help people in detecting fake news, include in smartphone application. In this research, a machine learning model was made using the LSTM (Long Short Term Memory) method to detect fake news. LSTM is a classification method that improves the weakness of the previous method, namely RNN (Recurrent Neural Network). An android application was built in this study to make it easier to detect fake news. An application programming interface was also built to bridge the detection process on the backend to the Android application. The results of this study indicate that the LSTM method is able to detect fake news with an accuracy value of 0.983. The evaluation results of the model training, the model does not show the occurrence of underfitting or overfitting.
Learning: Columbo vs Modernity

The key question addressed in this chapter is, why are there so many machines in <italic>Columbo</italic>? Technology is often integral to the crime itself, and knowledge of how it works is vital to Columbo’s ability to solve the murder. Columbo’s proactive engagement with the rapid technological advances of modernity – his learning about new machinery – indicates the perpetual labour needed to avoid obsolescence in a hi-tech world. Columbo, constantly “upgrading” his technological knowledge to pay attention productively is an ‘entrepreneur of the self’ (Lazzarato 2014: 52), a mode of work-engaged subjectivity which neoliberal ideology advocates. Alongside the complex memory game which <italic>Columbo</italic> provides to hone viewer attention, this supplementary concern is one of realising how best an individual can <italic>learn</italic> such that they maximise attentive labour. Columbo’s engagement with modernity reassures that if lower middle-class “everyman” Columbo can master new machinery, anyone can. Screen media are key here. Those busily engaged in watching – paying attention, especially to film and television – are typically innocent figures. Those who misuse technology to give the impression of such “innocent” adherence to attentive labour (in fact, using technology to cover-up that they are engaged in criminality), attempt to “get away with murder”.
Code Mixing Use by Fathia Izzati's YouTube Channel

In bilingual societies, people are able to speak many languages. Commonly, they mix various languages while doing a conversation. This study aims to find out the type of code-mixing used by Fathia Izzati’s YouTube channel. This research used a theory by Hoffman (1991) about three types of code-mixing. This study is descriptive qualitative research. The data were taken from three videos of YouTube Fathia Izzati in 2018 and 2019. The result shows that from 89 data collected, there are two types out of code-mixing that have been found from three types of Hoffman theory. They are Intra-sentential code-mixing (98.88%), involving a change of pronunciation (1.12%), while intra-lexical code-mixing is not found from the data. By the finding, it can be concluded that the types of code-mixing dominantly used by Fathia in her videos is intra-sentential of code-mixing. The speaker’s educational background and parenting patterns greatly influence her speaking style combining the two languages. The reason Fathia speaks like that because she is comfortable and used to mix two languages when speaking. Sometimes there are Indonesian vocabs that are not match for use when speaking, so the speaker is more comfortable mixing with English vocabs and vice versa. Furthermore, the impact of the personal background of a person influenced the speaker to do code-mixing.
Application of Collaborative Learning in the Course of “Computer Network Technology” in Secondary Vocational School

With the continuous development of China's economic structure, vocational education has received unprecedented attention. More and more students begin to choose secondary vocational education. What teaching methods can be used to teach secondary vocational students more pertinently, which is a problem that needs to be discussed. In order to explore the influence of collaborative learning in the teaching process of secondary vocational schools, this article takes the course of “Computer Network Technology” as an example to explore the application of collaborative learning in the course of “Computer Network Technology” in secondary. The results show that compared with the traditional teaching model, collaborative learning can pay more attention to students' problem-solving ability and team cooperation ability. Through collaborative learning, students' autonomy is improved, and the sense of collaboration is enhanced. Therefore, it is necessary to introduce collaborative learning in the teaching process of secondary vocational schools to stimulate learning motivation and improve students' literacy.
Information Technology Role in Education and Economic Growth

This study investigates the influence between information technology literacy, economic growth, education and unemployment in Indonesia.To investigate the causal link between variables, this research uses 21 years of data, from 2000 to 2020, by modeling "autoregressive vectors." This study is based on secondary data from the World Bank.We found that t he use of internet technology encourages economic growth, improves the quality of education and reduces unemployment. This reality is proof that technological developments are not always accompanied by an increase in unemployment. Internet technology provides profitable new job opportunities so as to reduce unemployment as a result of the creation of new jobs and economic growth from the creative and technology-based sector. Education provides an impetus for improving the quality of human resources so that people are more adaptable and more ready to participate in the economy which has an impact on reducing unemployment.
Query Processing In Text Mining

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
The Importance of Human Capital to The Indonesian Economy

This study investigates the development of human capital in Indonesia and its impact on economic growth by examining the causal relationship between education investment, health investment, and economic growth in Indonesia.In this study, dynamic ARDL was applied.The World Bank has provided this data as a secondary source. For the years 2000 to 2020, the following variables will be analyzed using two different time series models. The country's GDP is used as a measure of economic growth in this study. Health investment (HI) and education investment (E) are independent variables of the study because they serve as indicators of how these two variables are related in the long and short term to economic growth. We found that education and health have a causal relationship to economic growth. This is indicated by the influence between education, health and economic growth in Indonesia. Investments in education and health have an impact on economic growth. This is important because education is a driver of human productivity. Education and health are the two main factors in the development of human capital
An EdgeX-Based Multi-protocol Access Method for Terminal Devices

With the booming development of ICT technology, artificial intelligence, block chain, cloud computing, big data, edge computing, Internet of Things and other technologies continue to mature and apply, enabling the digital economy. Among them, data is the core element, which is an important basis for everything interconnection to everything intelligent connection. For massive heterogeneous multi-protocol terminal devices, a terminal device access method based on EdgeX edge computing framework is proposed to realize full information perception, state monitoring and operation control of terminal devices. At present, edge gateway based on this method has been applied in many substations, which is of great significance to state perception and real-time monitoring of secondary equipment and sensor equipment in substations.
A preliminary study of Augmented Musical Instruments for Study (AMIS) using research through design

The emergence of Digital Musical Instruments (DMIs) in the computer music field has been providing new means of interaction with music performances. Particularly, with the advancements in the Internet of Things (IoT) area, there has been an increase in augmented musical instruments containing LEDs within their own bodies to support music learning. These instruments can help musicians by having the capabilities to display musical notes, chords and scales. This research uses research through design to present a preliminary study of some of the challenges related to the design of these instruments and attempts to provide some insights associated with their usability and development, particularly related to the development of an augmented acoustic guitar, the VioLED, developed alongside the company Daccord Music. The system provides three modes of operation: song mode, solo/improvising mode and animation mode. The preliminary results present challenges and obstacles pertinent to usability and development of these instruments identified in different iterations of design. These challenges are associated with areas such hardware-software co-design, usability, latency/jitter, energy consumption, etc.
Analysis and research on teaching quality evaluation system based on analytic hierarchy process

research-article Analysis and research on teaching quality evaluation system based on analytic hierarchy process Share on Authors: Wu Youping Gandang College, China Gandang College, ChinaSearch about this author , Zou Zili Gandang College, China Gandang College, ChinaSearch about this author Authors Info & Claims AICSconf '21: 2021 2nd Artificial Intelligence and Complex Systems ConferenceOctober 2021 Pages 140–143https://doi.org/10.1145/3516529.3516556Online:05 April 2022Publication History 0citation0DownloadsMetricsTotal Citations0Total Downloads0Last 12 Months0Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Coupling Analysis of General Music Education and Vocational Education Based on Pearson Product Moment Correlation Coefficient

As a more important link in contemporary quality education, music education has received widespread attention and attention in the development of modern society. The development of general music education in new universities can reflect the core value of art education itself, is conducive to the cultivation of students' humanistic accomplishment, is more conducive to the integration and expansion of general music education and professional education, and promotes more comprehensive development of students. This paper establishes a correlation model between general music education and professional education, expounds the research methods of the correlation between general music education and professional education, integrates relevant data analysis results of correlation coefficient analysis, and realizes the integration and expansion of general music education and professional education in new colleges and universities. Propose corresponding countermeasures.
General education reform of new engineering information technology based on deep learning model

With the in-depth development of general education, cultivating new era socialist successors who can apply knowledge flexibly and have high social practical skills are the basic requirements of the Party Central Committee for talent training. At the same time, in the context of the new engineering era, strengthening the reform of general education in information technology is the basic way to achieve the goal of training information talents in colleges and universities. In this regard, this article analyzes the construction of a new engineering information technology general education quality evaluation model, and on the basis of establishing a new engineering information technology general education deep learning model, further explores the new engineering information technology general education reform strategy, aiming to provide some Useful reference.
Research on the coupling between college vocal music education and general education based on data mining technology

The social industry in my country urgently needs comprehensive talents. Under this circumstance, general education has gradually begun to be widely promoted in my country's colleges and universities, allowing students to receive the influence of music in the process of vocal music education, while at the same time being able to improve students’ personality cultivation and promote students Fully developed. Vocal music education and general education in colleges and universities are related to a certain extent. The purpose of both teaching is to promote the overall development of students and play a good teaching effect in the process of vocal music education in colleges and universities. Based on data mining technology, this paper establishes a model of the relationship between vocal music education and general education in colleges and universities, expounds related data collection and processing methods, analyzes the relationship between vocal music education and general education in colleges and universities, and provides more references for the discussion of modern college vocal education talents education theory.
Exploration of the Teaching Mode of General Education in Colleges and Universities Based on the Fuzzy Hierarchical Comprehensive Evaluation Method

research-article Exploration of the Teaching Mode of General Education in Colleges and Universities Based on the Fuzzy Hierarchical Comprehensive Evaluation Method Share on Author: Wang Zilong Hulunbuir University, China Hulunbuir University, ChinaSearch about this author Authors Info & Claims AICSconf '21: 2021 2nd Artificial Intelligence and Complex Systems ConferenceOctober 2021 Pages 306–310https://doi.org/10.1145/3516529.3516589Online:05 April 2022Publication History 0citation0DownloadsMetricsTotal Citations0Total Downloads0Last 12 Months0Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Research on the Construction of Students'Cognitive Evaluation System Based on Quantitative Evaluation Analysis Model

This article is triggered from the perspective of cognitive linguistics, based on the typical German double-object structure cognitive model, through the corresponding adjustment of the variables, and then constructs the general education German "free three-frame" cognitive model, effectively enhance the German " The teaching efficiency of "free three styles". This paper establishes the cognitive evaluation and analysis system of the German "Free Three Patterns" in general education, and establishes the weights of the cognitive evaluation index of the German "Free Three Patterns" in general education. result.