Reviewerly/exHarmony huggingface dataset:
Efficient Local Secret Sharing for Distributed Blockchain Systems

Blockchain system store transaction data in the form of a distributed database where each peer is to maintain an identical copy. Blockchain systems resemble repetition codes, incurring high storage cost. Recently, distributed storage blockchain (DSB) systems have been proposed to improve storage efficiency by incorporating secret sharing, private key encryption, and information dispersal algorithms. However, the DSB results in significant communication cost when peer failures occur due to denial of service attacks. In this project, we propose a new DSB approach based on a local secret sharing (LSS) scheme with a hierarchical secret structure of one global secret node and several local secret nodes. The proposed DSB approach with LSS improves the storage and recovery communication costs.
The Criterion for Evaluating The Correctness of The Application of Microleveling Technology in the Processing of Data From The Geoscan Geophysics UAV Aerial magnetic survey»

Summary The article discusses the technology for eliminating linear anomalies along the profile, which is used in the processing of aeromagnetic survey data obtained using the UAV “Geoscan Geofizika” complex. This technology, called “microleveling”, has a number of advantages. However, if the parameters are incorrectly selected, the microleveling procedure can lead to the loss of some data. The authors proposed a technique for performing microleveling and a method for assessing the quality of the data obtained during the procedure by comparing the initial field and the field obtained during the transformations.
Data-Driven Decision-Theoretic Planning using Recurrent Sum-Product-Max Networks

Sum-product networks (SPN) are knowledge compilation models and are related to other graphical models for efficient probabilistic inference such as arithmetic circuits and AND/OR graphs. Recent investigations into generalizing SPNs have yielded sum-product-max networks (SPMN) which offer a data-driven alternative for decision making that has predominantly relied on handcrafted models. However, SPMNs are not suited for decision-theoretic planning which involves sequential decision making over multiple time steps. In this paper, we present recurrent SPMNs (RSPMN) that learn from and model decision-making data over time. RSPMNs utilize a template network that is unfolded as needed depending on the length of the data sequence. This is significant as RSPMNs not only inherit the benefits of SPNs in being data driven and mostly tractable, they are also well suited for planning problems. We establish soundness conditions on the template network, which guarantee that the resulting SPMN is valid, and present a structure learning algorithm to learn a sound template. RSPMNs learned on a testbed of data sets, some generated using RDDLSim, yield MEUs and policies that are close to the optimal on perfectly-observed domains and easily improve on a recent batch-constrained RL method, which is important because RSPMNs offer a new model-based approach to offline RL.
METHODS AND TECHNIQUES FOR DEVELOPING CREATIVE ABILITIES OF PERSONALITY

The relevance of the problem of the development of students' creative abilities is revealed, psychological and pedagogical approaches to the formation of the creative abilities of an individual are determined; the models of the development of creative abilities are characterized, the most effective methods and means that contribute to the development of the studied personality traits are highlighted. Particular attention is paid to the motivation of the student's creative activity. Among the conditions for the successful formation of creative abilities is the competence of teachers in managing the creative growth of an individual, taking into account the nature of his individuality.
Creating Awareness about Adolescent Reproductive Health among Upper Primary School Students in Haryana through the Use of Interactive e-Modules

Adolescents are the prospective citizens of any nation; therefore, investment in terms of the well-being of adolescents is considered quite rewarding. Adolescents are now attaining biological maturity earlier than the previous generation, as witnessed by the gradual decline in average age of puberty and menarche; hence, it becomes imperative to address this cohort of the population. Integration of technology in the field of education has been an area of research for a long. The present study attempts to use digital technology in the form of e-modules created through H5P in creating awareness about adolescent reproductive health on upper primary school students. A sample of 309 students from randomly selected ten unaided private schools of Sonipat district of Haryana was taken. Interactive e-modules were developed for addressing adolescent reproductive health. After the pre-test administration, the experimental group was taught through e-modules and the control group was taught through the conventional method. The data was collected through validated tools over a period of three months. A post-test was conducted afterward to assess the awareness level. After ascertaining comparability of the two groups, data was analyzed using percentage and t-statistics. The data analysis showed that the difference in the mean and standard deviation of the post-test scores of the experimental group 20.50 ± 3.40 and the control group 15.72 ± 4.03 were statistically significant at 0.001 level (t value = 11.26, d.f. = 297). Thus, the study concludes that the interactive e-modules effectively create awareness about adolescent reproductive health at the upper primary school stage.
Whatsapp Based Smart Application System for Traffic Management

In today’s world chatbot plays an important role in our society as it is relatively a new technology. It gives us information, entertain us and help us in lots of manners. Basically, we can define a chatbot as a program that is designed to counterfeit a smart communication on a text or spoken ground or it refers to a chatting robot (it is all about the conversation with the user; a robot answers to the questions asked by the user). It recognizes the user input as well as by using access information and pattern matching to provide a predefined acknowledgement. When the input is being given, a response from a predefined pattern from the database is given to the user in which the order of the sentence is recognized and a saved response pattern is acclimatized to the exclusive variables of the sentence. This paper addresses the design and implementation of a Chatbot System using the Whatsapp Application where it will detect and recognize the input image of the vehicle number plate and show the information of the vehicle owner as an output. It also focuses on the methodology which is being used for the extraction of characters from the vehicle number plate.
LIBRARY SERVICES THROUGH LIBRARY WEBSITES

The improvement of the web and Social Media has been so extraordinary in the domain of information spread that now library benefits that were once offered essentially by visiting the Library work region is as of now available from inside the four corners of one's own homes.The solicitations of libraries and its allies are genuinely growing and changing as is moreover the web circumstance.The chance at present has come where a library can circle its resources and organizations even without its own design.Library organizations offered by libraries are right now open from the Library locales saving both time and effort to its customers.This paper discusses the utilization of the web and Social media in the spread of Library organizations through Library locales and how this has made information assignment and recuperation direct and straightforward.The most notable online library organizations are presented here.
Document Organizing using Multiple Encryptions

In this manuscript, “Pocket Certificates'' - a conventional document organizing with the capability of securely storing those documents is presented. Documents are something that provides information or can be a certification for someone or also can be a legal report. The theft of such important documents/certificates can interfere/hamper an individual or organization from performing their work efficiently and can also lead to loss of possessions. The solution is the use of a Double Encryption system based on an amalgamation of RSA, AES and MD5 standards. Use of enhanced security can be thought of as a compromise in reliability and smooth function of a system but to the process, there are some constraints to be set so that the Encryption/Decryption process does not hamper the usability. This paper takes account of such attributes and keeps a balance between all of them. There is also the use of other Hashing techniques like bycrypt securely storing user login details and use of passport middleware for unique user authentication requirements at each application stage. The paper consists of an overall web application for the secure archive to documents or important data.
DEVELOPMENT OF AN ONTOLOGICAL MODEL OF SYNTACTIC RULES OF SIMPLE SENTENCES OF TURKISH LANGUAGE

This article describes the syntactic rules of sentences in Turkish language and presented its tree components as well by means of formal grammars Chomsky. At the same time, an ontological model of syntactic rules of simple sentences of the Turkish language is constructed, taking into account its semantics. The proposed ontological models use terms from the unified metalanguage UniTurk to denote syntactic categories and concepts. The results of this work can be used to solve NLP tasks, for example, in the systems of knowledge, information retrieval, question and answering systems, in machine translation, automatic summarization of Turkish texts, as well as in the reference and training systems, moreover, in building the ontological model of syntax rules of Turkic languages and is planned to use.
군 간부의 다문화교육경험이 다문화수용성에 미치는 영향

This research seeks to examine the relationship between multicultural education experiences and the multicultural acceptability of military officers. The sample included 552 Republic of Korea Army officers and non-commissioned officers(NCOs) who were located in Gangwon-Do and Gyeonggi-Do. For the statistical analysis, SPSS 18.0 was used to perform descriptive statistical analysis, frequency analysis, differential verification, and multiple regression analysis. The major analysis results are as follows: First, The multicultural acceptability of the military officers and NCOs, including sub-factors, was above the mean level; in terms of the ranking per sub-factor, the scores were in the order of diversity, relationship, and universality. The experience frequency of the targets and the evaluation was lowest in the educational experience within the military, and the evaluations were in the order of public media, school, and military. Second, The differential verification, depending on the characteristics of the sociology of the population and the existence of the multicultural educational experience, showed that the duration of education(personal factor), marital status(family factor), existence of a foreign relative(family factor), and existence of experience of managing multicultural personnel as soldiers under command(military-related factor) showed a significant difference in multicultural acceptability. Additionally, the existence of multicultural education through schools and public media lead to a significant difference in multicultural acceptability, but the existence of education within the military did not lead to a significant difference. Third, The analysis of the influencing relationship through multiple regression analysis showed that the higher the evaluation of multicultural education through the military, school, and public media, the higher the multicultural acceptability.Therefore, this research proposes multicultural educational plans that may improve the multicultural acceptability of military officers and NCOs as a way to establish a multicultural composition in the army.
Analysis of Cross-Sectional Capacity of the Jambi River in the Muaro Jambi Temple About Various Times of Flooding Using HEC-RAS Software

Jambi River is one of the rivers located in the Muaro Jambi Temple Complex Area, Muaro Jambi Regency, Jambi Province. Muaro Jambi Temple is one of the tourist attractions in Jambi Province. This study aims to find the capacity of Jambi River tested by planned flood discharge utilizing (synthetic unit hydrograph) HSS Nakayasu method for a return period of two, five, ten, twenty-five, fifty and hundred years. HEC-RAS software used to analyse the water level in the Jambi River towards the flood potential that causes the submerging of the Kedaton Temple building. This research used the log Pearson type III method to calculate the planned rain return period and used the Nakayasu synthetic unit method to calculate the planned flood discharge. The analysis showed that the Jambi River could not load the flood discharge in the five, ten, twenty-five, fifty, and one hundred years return period at several measurement points: river sta-1, river sta-2 and river sta-5. The floodwater level did not cause the Kedaton Temple building to be flooded from the simulation result
LBCC LibGuides: School of Career Technical Education: ECON

This guide highlights the course- and discipline-specific guides for the offerings in the School of Career Technical Educations. In each guide you will find the methods for finding books and other resources curated by the LBCC Librarians.
Trends in adult complementary education in the modern digital space

The paper examines the application of different methods and approaches in teaching adults a foreign language as part of additional education. The authors of the article aim to identify modern trends in the development of additional adult education, ensuring the creation of an optimal educational environment for successful adult instruction in a foreign language. This paper examines the social and psychological characteristics of adult learners. Emphasis is placed on the superiority of active training methods using information and communication technologies. It is concluded that for the most effective realization of the educational potential of a foreign language by adult students in the conditions of additional education, it is necessary for the teacher to combine pedagogical and anagogical models of education using digital technologies.
Persuasive linguistic tricks in social media marketing communication—The memetic approach

The paper reports the results of a study into the use of linguistic cues defined as Persuasive Linguistic Tricks (PLT) in social media (SM) marketing communication. It was assumed that the content shared on Social Networking Sites (SNS) could be perceived as specific sets of meanings (memeplexes), where a single component, also PLT, may function as their part. Following an original typology of PLT, created based on an emotional factor, the research focused on whether and how the number of positive, neutral and negative PLT used in Facebook posts impacted the behaviour of content recipients. These activities, including liking, commenting and sharing, are strictly connected with post spreading and range. The data analysis focused on 167 Facebook posts shared by five leading Polish travel agencies and 1911 responding comments. The quantitative content analysis method and Spearman’s correlation tests were used. A relationship was observed between the number of emotionally positive and neutral PLT and the increase in the range of content with these PLT. The use of PLT by post recipients was also observed in their comments. This phenomenon is possibly related to the memetic nature of PLT. From the perspective of marketing messages, the obtained results contribute to and guide the textual content-building with a high spreading potential owing to the memetic capability of PLT. Further elaborations were made on the assumption for the evolutionary approach in social media content transfer and its processing.
REDUCED SETS OF FREQUENT SIMILAR PATTERN MINING APPLICATIONS IN THE FIELD OF BIOINFORMATICS

From past three decades, frequent pattern mining techniques have been a part of solutions to various problems in the orbit of Bioinformatics . Frequent itemsets mining is one of the most famous frequent pattern mining technique for identifying elements that co-occur frequently. Frequent itemsets mining technique are capable of efficiently capturing the characteristics of huge and complex data as well as concisely summarizing it. Techniques like compact representation of frequent itemset and Similar patterns mining is very essential in field ofBioinformatics. Compact representation of frequent itemset and Similar pattern mining can be employed to overcome the problems of frequent itemsets mining like missing of patterns which may be interesting, informative and generation of large number of itemsets . In this paper we have discussed how beneficial the concept of reduced sets of frequent similar pattern mining is in the field of Bioinformatics. Compact representation of frequent itemset is achieved by using closed frequent pattern mining or Maximal frequent pattern mining techniques.
Golang Library/CLI Tool to Provide Data Analysis and Conversion Utilities

When developing or testing any complex software that deals with data or networks or low-level system software, or when doing regular administration of any development or production environments, or while learning about security or networks people often need tools to convert, parse, analyse and use data in various ways. These can sometimes be difficult to find, scattered and sometimes much more in-depth than they need. In this paper, we aim to propose a system that will get aggregate such operations into a library that will be accessible using the command line interface. The goal of this project is to create a versatile library/CLI tool that takes a simple text input and performs the user’s desired operations on it and produces an output.
SPEECH ACTS IN ENGLISH LEARNING CLASSROOMS (Case Study at The Islamic College Jakarta)

This study aims to analyze and describe (1) the form of speech acts in interactions in the English learning class at Islamic College Jakarta and (2) the types of speech acts in the interaction in the English class at Islamic College Jakarta. To achieve this goal, the researcher used a descriptive qualitative research design. The subjects of this study were students of Islamic College Jakarta. The objects in this study are the form, function, and type of speech uttered by Islamic College Jakarta students in the interaction of learning English in the classroom. Data collection and research using the note-taking method assisted by recording techniques. Data analysis in this study used qualitative data analysis procedures based on the interactive Miles model which generally includes three stages, namely (1) data reduction, (2) data presentation, (3) verification. The results of this study indicate that: (1) The form of speech acts of students in the English class, namely the form of speech acts in the declarative mode, the interrogative mode, and the imperative mode. (2) Types of speech acts of students in English class, direct literal speech acts, non-literal direct speech acts, literal indirect speech acts, and non-literal indirect speech acts. The use of direct speech acts aims to make speech partners easier to understand what the speakers (lecturers or students) want. Suggestions that can be given through this research are for lecturers, students, other researchers, and readers, this research can be used as a guideline, reference, and comparison material to gain insight into the field of linguistic science, especially speech acts.
Pengaruh Motivasi Kualitas, Motivasi Karir, Sikap Dan Persepsi Pada Profesi Akuntan, Terhadap Minat Mahasiswa Akuntansi Memperoleh Gelar Chartered Accountant (CA) (Studi Pada Mahasiswa Akuntansi Fakultas Ekonomi dan Bisnis Universitas Muhammadiyah Surakarta)

This study aims to determine the effect of quality motivation, career motivation, attitudes, and perceptions of the accounting profession on students' interest in obtaining the title Chartered Accountant (CA). research using associative quantitative research. This study uses primary data where data is collected using a questionnaire. The population in this study were accounting students at the Faculty of Economics and Business, Muhammadiyah University of Surakarta. The sampling technique used was purposive sampling technique. The sample in this study amounted to 233. The data analysis technique in this study used descriptive statistics, classical assumption tests, multiple linear regression analysis, hypothesis testing and determination coefficient test. The results of the analysis show that quality motivation has a positive effect on asking students to obtain a Chartered Accountant (CA) degree. Career motivation has a positive effect on students' interest in obtaining a Chartered Accountant (CA) degree. Attitudes have a positive effect on students earning the title Chartered Accountant (CA). Perceptions of the accounting profession have a positive effect on students' interest in obtaining the title Chartered Accountant (CA).
CLUSTERING PRODUKSI PERIKANAN BUDIDAYA LAUT BERDASARKAN PROVINSI MENGGUNAKAN ALGORITMA K-MEANS

Indonesia is a large maritime country, and most of its territorial waters are larger than its land area. Due to the vastness of the oceans, the large number of large and small islands makes Indonesia a potential area for marine cultivation. In general, the existing data based on the Central Statistics Agency (BPS) of Marine Aquaculture Production for each province in Indonesia only applies to production data which only produces detailed data on total marine aquaculture production in tonnes per year, and takes a long time. To classify very large data, a method is needed that can use the K-Means algorithm to classify the highest, middle, and lowest opportunities in the field of marine aquaculture from 2004 to 2018. The results implemented in python consisted of 26 provinces in klaster 1 (C1), 3 provinces in klaster 2 (C2), and 5 provinces in klaster 3 (C3).
비대면 수업에 대한 치기공과 학습자 인식에 관한 연구

Purpose: To understand the students’ level of recognition of online classes in the Department of Dental Technology and to provide the basic data for designing online classes based on the dental technology course. Methods: A survey was conducted among the students of the dental technology department. The collected data was analyzed with the SPSS ver. 25.0 program. To ensure a reliable verification, the α=0.05 significance level was used. The t-test and analysis of variance were also performed. Results: The students’ level of recognition of online classes in the Department of Dental Technology is shown in the rate of recognition for video-based classes for both the theory and experiments. Students displayed high positivity with the video-based learning as it is repeated learning that is not affected by the limitations of time. In addition, video-based learning is highly beneficial in terms of convenience, satisfaction, and achievement for learning. Conclusion: Based on the results, video-based learning is a highly positive learning type for students. It was also recommended that the Department of Dental Technology should offer a post-COVID-19 online class to include the blended methods of a face-to-face class and video-based learning.
Repository Experiences on Certification: DataverseNO

Presentation at the online EOSC-Nordic WP4 workshop: From Self-Assessment to Certification with FAIR Results, 03.06.21, arranged by EOSC-Nordic. https://www.eosc-nordic.eu/events/eosc-nordic-wp4-workshop-from-self-assessment-to-certification-with-fair-results/.
We2Book WeChat Mini Program development

Wechat mini-program that serves as a tourism marketplace where users can book and pay for tours of their choosing.