Reviewerly/exHarmony huggingface dataset:
Development and Implementation of Efficient Recruitment Portal Using Blockchain

Blockchain is an immutable and distributed ledger that can be used to create decentralized applications or Dapps. Dapps are the applications where the data is not centrally stored at a single source rather are stored in a decentralized network. Our data is sensitive and its safety is crucial when we put it on the Internet so, by creating records in Blockchain data access can be controlled and prevent fraud as all the data in the Blockchain is end-to-end encrypted. In this paper, we present a Recruitment Portal developed using Blockchain. The current recruitment process is long and hectic as most of the work has to be done manually. Using Blockchain for this can eliminate the time-consuming and paper heavy traditional process. The proposed application is developed using the Ethereum Blockchain where candidates and recruiters can register to the Blockchain. Recruiters can upload their job openings with all job-related details and job descriptions and candidates interested can read job details and apply for them with their resumes.
Lexical Complexity Controlled Sentence Generation for Language Learning

Language teachers spend a lot of time developing good examples for language learners. For this reason, we define a new task for language learning, lexical complexity controlled sentence generation, which requires precise control over the lexical complexity in the keywords to examples generation and better fluency and semantic consistency. The challenge of this task is to generate fluent sentences only using words of given complexity levels. We propose a simple but effective approach for this task based on complexity embedding while controlling sentence length and syntactic complexity at the decoding stage. Compared with potential solutions, our approach fuses the representations of the word complexity levels into the model to get better control of lexical complexity. And we demonstrate the feasibility of the approach for both training models from scratch and fine-tuning the pre-trained models. To facilitate the research, we develop two datasets in English and Chinese respectively, on which extensive experiments are conducted. Experimental results show that our approach provides more precise control over lexical complexity, as well as better fluency and diversity.
Prospects for Creating a Network Department to Ensure Effective Cluster Scientific (Scientific and Methodological) Interaction between Pedagogical University and Institute for Educational Development (IED)

The paper proves the necessity of creating a Network Department to provide effective cluster scientific (scien-tific-methodological) interaction of a pedagogical university and the Institute of Education Development (IED). The absence of the definition of a network department in the normative-legal acts is established, despite the fact that in practice such associations are created. Using the structural and functional analysis, a general char-acteristic of a Network Department is given, its subject, goals, organizational structure, and role in scientific (scientific-methodological) interaction of a pedagogical university and the Institute for Educational Develop-ment are determined. Examination of such alternative organizational structures as basic and virtual depart-ments made it possible to conclude that they cannot replace the Network Department due to the prevalence of either educational or technological aspect in their activities. The paper dwells upon the fact that the integration of the Network Department into the structure of the national cluster model of scientific (scientific-methodological) interaction between pedagogical universities and Institute of Education Development brings this interaction to the highest, strategic, level.
Civic and Patriotic Education of Students of Specialized Secondary Educational Institutions in Modern Conditions

The study aims to investigate the topical problem of the formation of civic qualities of students of secondary vocational education institutions; reveals the essence of the concepts of “citizenship”, “civic qualities”. As part of the study the actual issues of developing a person’s active life position, love for the Motherland, protection of its interests and prosperity are considered, the authors’ opinions on the formation of citizenship in the young gen-eration are studied, examples of activities carried out to form an active life position are given. The aim of the work is to analyze the existing methods and specifics of citizenship development, presented the results of a survey of students for the choice of forms of project activity as a method for the development of civic qualities. The survey involved 200 students in the 1st–4th years of study. Results obtained in the survey are ambiguous. The study provides examples of tools for the formation of a civil-patriotic position.
Challenges of the Falsification Processes Impact in the Information Environment on the Students’ Consciousness: Regulation in Higher Education

Challenges of the falsification processes impact in the information environment on the students’ conscious-ness is raised in the present paper. It shows the experience of teaching the disciplines in the St. Petersburg branch of the Financial University under the Government of the Russian Federation, which aims to form the student’s worldview. The relevance of the topic is due to the modern Russian realities in which the younger generation and the information environment play key roles. The primary aim of the paper is to analyze the pos-sibilities of regulating the influence of falsification in the information environment on the students’ conscious-ness by means of teaching and educational work in higher education. The paper summarizes some of the ob-jectives in the course of the work: conducting a sociological study at the St. Petersburg branch of the Financial University among lecturers; determining how the problem under consideration can be regulated in the class-room / extracurricular work with students; outlining the directions of educational work with students.
Creation of Model Programs for Vocational Education and Training of Non-State Security Service Employees Based on the Experience of Simulation Training

With the entry into force of Federal Law No. 238-FZ “On Independent Assessment of Qualifications” on July 1, 2019, the professional standards developed by the Council for Professional Qualifications in the Non-State Sphere of Security of the National Council for Professional Qualifications under the President of the Russian Federation included labor functions that prescribe the provision of a function life support of the victim until the arrival of specialists. The tasks of the Council are the development of federal state educational standards, the updating of vocational education and training programs.
Mixed Reality Game YU-GI-OH

Mixed Reality is a technology that combines the real world with the virtual world. Merging these two worlds will form a new environment where each object from each world can interact with each other. This technology will offer a different user experience depending on how it is used, including digital games. This paper will discuss how to construct the card along with its mechanism of movement that used in YU-GI-OH game and its implementation on mixed reality technology using the HoloLens platform. The game be integrated to HoloLens until view stage.
IMPLEMENTASI DEEP LEARNING PADA SIMULASI AUTONOMOUS DRIVE MENGGUNAKAN AIRSIM

Autonomous Driving is one of the technologies available in Artificial Intelligence. This technology aims to facilitate human work related to driving. The application of this technology can be done by using one of the main capabilities found in Artificial Intelligence, namely Machine Learning. By using several methods found in Machine Learning, Autonomous Driving Technology can be formed and developed. This paper will discuss how to make Autonomous Driving technology using available methods and show the results obtained from using these methods.
Effect of WhatsApp-based learning on improving Grade 9 students’ writing composition skills

The current study explored the effect of using the mobile learning device ‘WhatsApp’ to enhance the writing composition skills of Grade 9 students in Jordanian schools. The present study adopted the experimental research design to compare between the writing composition skills of the control group and the experimental group. The control group comprised 30 students, whereas, the experimental group included 31 students. The experimental group was taught writing composition skills by using WhatsApp-based learning activities, while the control group studied writing composition skills through a conventional method. The elicitation of data was based on using two instruments. The first instrument was a writing composition test that served as a pretest and a posttest. The second instrument was a semi-structured interview of the experimental group’s views on using WhatsApp-based activities in learning writing composition skills. Data analysis was based on the use of paired samples T-Test and the independent samples T-Test. Descriptive statistics was used to account for the experimental group’s responses to the interview questions. The findings indicate better performance in writing composition test by the experimental group compared to the control group. The experimental group also showed positive views towards using WhatsApp activities in learning writing composition skills. The study recommends the integration of mobile learning device of WhatsApp into the teaching of English writing composition.
Sentiment Analysis of Honkai: Star Rail Indonesian Language Reviews on Google Play Store Using Bidirectional Encoder Representations from Transformers Method

Online games are a type of entertainment that is done by humans to have fun and forget all the problems in everyday life. Honkai: Star Rail is a new online game application owned by miHoYo which is currently popular and widely downloaded on the Google Play Store. Reviews on the Honkai: Star Rail app are increasing over time so this makes it difficult for app developers to know past user reviews on their apps. Therefore, the author conducted a study to analyze sentiment towards Honkai: Star Rail application reviews in Indonesian on the Google Play Store using the Bidirectional Encoder Representations from Transformers (BERT) method to determine user sentiment towards the Honkai: Star Rail application and then processed further so that it becomes a record for developers, users, and prospective users of the Honkai: Star Rail application. This study uses Indonesian language review data from users of the Honkai: Star Rail application found on the Google Play Store website as many as 6000 reviews. The BERT method applied in this study consisted of data collection, dataset labeling, data preprocessing, dataset splitting, modeling, model training, and evaluation. Based on the evaluation results that have been carried out on the test data, 97 data are true positive with 27 data are false positive, 4 data are true neutral with 47 data are false neutral, and 381 data are true negative with 37 data are false negative. So, it can be concluded that the model still has difficulty predicting reviews with neutral sentiment but is good enough at predicting reviews with positive and negative sentiment. In addition, the accuracy of the model is 81% with a precision of 63% for positive sentiment reviews, 36% for neutral sentiment reviews, and 89% for negative sentiment reviews.
Solar Cell Innovation: Energy Source Drive Sewing Machine in D'Kartinis Group Eco-Friendly Sewing House

The economic level of the people of Teluk Kabung Utara, Padang City, West Sumatra Province is still at the middle to lower level. Its location close to the beach makes the majority of people work as fishermen, farmers, and casual laborers. In addition, industrial growth has an impact on increasing electricity consumption. This study aims to describe the Eco-Friendly Sewing House program fostered by PT Pertamina Patra Niaga Integrated Terminal Teluk Kabung in the economic sector to improve the economic level of the community. The research method used is descriptive-qualitative with data collection techniques in the form of interviews, observations, and documentation. The results of this study show that activities and innovations in the Eco-Friendly Sewing House program carried out by the D'kartinis group have an impact on improving the economy of the North Kabung Bay community. On the other hand, this program is a medium in preserving the environment by utilizing renewable energy in the form of solar cells as alternative electric power to drive sewing machines. The goal is to become a sustainable development program that is environmentally friendly and prospers the community. The existence of this program is expected to empower the community to get out of problems and maximize their potential, and the implementation of the program is not only felt by the people of North Teluk Kabung but also outside Padang City.
The Guidelines for Developing the Integration of Production, Education, and Research under the Background of "Double High Plan" in Guizhou, China

The objectives of this research were: 1) to study the current situation of industry-education integration under the background of the "double-high plan" in higher vocational college in Guizhou, China, 2) to develop the guidelines for industry-education integration under the background of the " double-high plan" in higher vocational college in Guizhou, China, and 3) to evaluate the adaptability and feasibility of the guidelines for industry-education integration under the background of the " double-high plan" in higher vocational college in Guizhou, China. The population of this research contained 420 teachers from four higher vocational colleges. According to the Krejcie and Morgan sampling table (1970), the sample group of this research was 201 teachers from four higher vocational colleges in Guizhou, and simple random sampling was used in this research.Furthermore, the interviewees of this research were five administrators, teachers, and industry representatives. Five high-level administrators in Guizhou were the five experts in evaluating the adaptability and feasibility of the guidelines. Purposive sampling was used in this part.The research instruments were a questionnaire, a semi-structured interview, and an evaluation form. The statistics for data analysis were frequency, percentage, mean, standard deviation, and content analysis.The results found that: 1) the current situation of industry-education integration under the background of the "double high plan" in the higher vocational college in Guizhou was government policy support, the attractiveness of higher vocational colleges, 2) The guidelines for industry-education integration under the background of the "double high plan" in higher vocational colleges in Guizhou had three dimensions: government dimension, higher vocational colleges dimension, and enterprises dimension, and 3) The adaptability and feasibility of the guidelines were at the highest level, with values ranging from 4.00 to 5.00.
How To Teach Domain Ontology-based Knowledge Graph Construction? An Irish Experiment

Domains represent concepts which belong to specific parts of the world. The particularized meaning of words linguistically encoding such domain concepts are provided by domain specific resources. The explicit meaning of such words are increasingly captured computationally using domain-specific ontologies, which, even for the same reference domain, are most often than not semantically incompatible. As information systems that rely on domain ontologies expand, there is a growing need to not only design domain ontologies and domain ontology-grounded Knowl­edge Graphs (KGs) but also to align them to general standards and conventions for interoperability. This often presents an insurmountable challenge to domain experts who have to additionally learn the construction of domain ontologies and KGs. Until now, several research methodologies have been proposed by different research groups using different technical approaches and based on scenarios of different domains of application. However, no methodology has been proposed which not only facilitates designing conceptually well-founded ontologies, but is also, equally, grounded in the general pedagogical principles of knowl­edge organization and, thereby, flexible enough to teach, and reproduce vis-à-vis domain experts. The purpose of this paper is to provide such a general, pedagogically flexible semantic knowl­edge modelling methodology. We exemplify the methodology by examples and illustrations from a professional-level digital healthcare course, and conclude with an evaluation grounded in technological parameters as well as user experience design principles.
Consideration on the Direction of Enactment of the Local Council Act

Purpose: Local autonomy was revived in 1991, and 30 years later, local councils have made a lot of progress. However, local residents' trust in local councils is not at a satisfactory level. In particular, on January 13, 2022, the entire「Local Autonomy Act」was amended to strengthen the autonomy of residents and local governments, and to secure transparency and accountability. It can be said that it is necessary to enact a local council law that can increase.&#x0D; Method: Comparison and analysis of the 'Local Council Act' proposed by Jeon Hyun-hee, former member of the 20th National Assembly in February 2018 and Lee Hae-sik, a member of the National Assembly in November 2020, which is the most representative proposal among local council laws, and refer to the Local Autonomy Act and the National Assembly Act to determine the direction of local assembly law wanted to make a suggestion.&#x0D; Results: The role of local councils is becoming more important to respond to the changing social structure and solve local problems. Therefore, it is necessary to activate local legislative activities to fulfill practical authority and roles. In other words, the direction of enactment of the Local Council Act should ensure the autonomy of the local council while at the same time strengthening its responsibility(professionalism). Therefore, it is required to secure transparency and reliability in the legislative activities of local councils and local councilors in parallel with the expansion of the authority of local councils.&#x0D; Conclusion: As matters to be considered in enacting the Local Assembly Act, first, the practical benefits of enacting the Local Assembly Act should be fully considered. If the authority and independence of the local council can be strengthened and established by supplementing the current Local Autonomy Act, the need for enactment of the Local Council Act is low. Second, the direction of strengthening the responsibility and autonomy of local councils so that the enactment of the Local Council Act can solve problems in the local community with the strengthened authority and status of the local council, improve the quality of life of local residents, and activate grassroots democracy. should be enacted as.
rOpenSci News Digest, February 2022

Dear rOpenSci friends, it’s time for our monthly news roundup! You can read this post on our blog.Now let’s dive into the activity at and around rOpenSci!&lt;strong&gt;rOpenSci HQ&lt;/strong&gt;&lt;strong&gt;rOpenSci is hiring its next Community Manager!&lt;/strong&gt; Come be part of making our great community even better; Help start a new program promoting diverse leadership in open source; Join a remote, flexible, global, friendly community and team!
Searching and browsing the R universe

&lt;strong&gt;R-universe now has search!&lt;/strong&gt; We made a series of structural improvements in r-universe to make it easier to browse and discover interesting R packages and articles.
GTCO: Graph and Tensor Co-Design for Transformer-Based Image Recognition on Tensor Cores

Deep learning frameworks or compilers optimize the operators in computation graph using fixed templates via significant engineering efforts, which may miss potential optimizations such as operator fusion. Therefore, automatically implementing and optimizing the emerging new combinations of operators on a specific hardware accelerator is of importance. In this paper, we introduce GTCO, a tensor compilation system designed to accelerate transformer-based vision models’ inference on GPUs. GTCO tackles the operator fusion techniques in the transformerbased model using a novel dynamic programming algorithm and proposes a search policy with new sketch generation rules for the fused batch matrix multiplication and softmax operators. Tensor programs are sampled from an effective search space, and a hardware abstraction with hierarchical mapping from tensor computation to domain-specific accelerators (Tensor Cores) is formally defined. Finally, our framework can map and transform tensor expression into efficient CUDA kernels with hardware intrinsics on GPU. Our experimental results demonstrate that GTCO improves the end-to-end execution performance by up to 1.73× relative to the cutting-edge deep learning library TensorRT on NVIDIA GPUs with Tensor Cores.
Image recognition based on convolutional deep confidence networks

At present, the inspection of power plant equipment generally relies on labor, while the control of unsafe behaviors of personnel completely depends on the on-site supervision of safety supervisors. With the development of artificial intelligence, the intelligent inspection and fault recognition technology of power plants based on video AI algorithm have made breakthroughs, among which the core intelligent recognition and infrared image conversion are both based on picture recognition. This paper introduces the background of picture recognition and the development of deep learning. The paper studies the use of convolutional deep confidence network to identify MNIST, and shows the process of using this network to identify the experiment of handwritten number set, and the final recognition rate reached 99.2%. Finally, the accuracy of the most commonly used convolutional neural network is compared with the convolutional deep confidence network, and a control experiment is designed to study the influence of the learning rate and the iteration number on the recognition rate. Experiments show that convolutional deep confidence networks can be easily competent in identifying handwritten numbers.
Blockchain based on Reliable Task Offloading Strategy for Edge Computing in Smart Home

With the progress of the internet of things, more and more smart home devices are entering the home. When users enjoy the convenience brought by smart home devices, they also face problems such as resource constraints and insufficient privacy protection on the device. Based on this, this article proposes a blockchain based trusted offloading strategy for end-edge-cloud collaborative tasks to address these challenges. Specifically, establish a blockchain based end-edge-cloud collaboration framework to offload tasks more safely and efficiently. In addition, to address user privacy security issues, a decentralized blockchain is introduced, using consensus algorithms to achieve reliable data transmission and storage. Finally, with the goal of minimizing delay, an improved genetic algorithm based on blockchain (BWOGA) is proposed, and its effectiveness is verified through simulation experiments.