Reviewerly/exHarmony huggingface dataset:
Comprehensive Analysis of the Role of Cognitive Linguistics in Automatic Abstracting Techniques of Texts

Automatic text summarization is a process to reduce the amount of a document's text, using a computer program to create a summary of the book by maintaining the critical points of the material. As information is growing much more and data are increased, automatic text summarization is a practical approach. This method refers to shortening the content of an HTML file by maintaining the original content in the general sense. It is challenging for human beings to summarize many documents. The significant difficulty regarding this is the existence of websites, which have been developing rapidly, and with a high volume of information exchange, that requires robust, powerful, and sophisticated abstracting techniques. Technology has made it possible to create a coherent summary of texts with different length, writing style. In this paper, the authors first reviewed the concepts of automatic abstracting techniques and its types, then survey about the existing abstracting systems, and finally make a decision about the best method of automatic summarizing of the texts. Besides, we compare the current text summarization methods from the perspective of swiftness and accuracy. At the end of the paper, we try to provide one standard about the necessary parameters that an ideal text summarization technique should have.
AN EFFICIENT BLOCKCHAIN-BASED IIoT SYSTEM FORTRANSPARENCY AND CONCURENCY MECHANISM

Industrial Internet of Things (IIoT) performs an indispensable role intended for Industries. Now-a-daysall industries like banking (ATMs, sensor based transaction devices), hospitals (transaction Machines) are using IIOT(Industrial Internet of Things which means small devices communicate with centralized servers to exchange data)devices to communicate with their servers. This devices will have internet connection to communicate with industriesservers and this devices will have limited battery power so heavy cryptographic algorithms cannot be implemented toprovide/improve security. We are using Blackchain based algorithms such as POW (proof of work) and creditconsensus. Entire Blockchain technique cannot be implement as this devices are small and run on battery so author isusing POW and Credit Consensus concept from Blockchain technique. But it having more processing and storage cost.To overcome from this problem, in this document we introducing two techniques. Those are data processing and cleaningto sensor data to avoid storage and processing cost upon receiving corrupted or invalid data.
К 95-летию профессора Костюковой Натальи Николаевны: 73 года служения науке

To the 95th anniversary of Professor Kostyukova Natalia Nikolaevna: 73 years of service to science.
Camera On-boarding for Person Re-identification using Hypothesis Transfer Learning

Most of the existing approaches for person re-identification consider a static setting where the number of cameras in the network is fixed. An interesting direction, which has received little attention, is to explore the dynamic nature of a camera network, where one tries to adapt the existing re-identification models after on-boarding new cameras, with little additional effort. There have been a few recent methods proposed in person re-identification that attempt to address this problem by assuming the labeled data in the existing network is still available while adding new cameras. This is a strong assumption since there may exist some privacy issues for which one may not have access to those data. Rather, based on the fact that it is easy to store the learned re-identifications models, which mitigates any data privacy concern, we develop an efficient model adaptation approach using hypothesis transfer learning that aims to transfer the knowledge using only source models and limited labeled data, but without using any source camera data from the existing network. Our approach minimizes the effect of negative transfer by finding an optimal weighted combination of multiple source models for transferring the knowledge. Extensive experiments on four challenging benchmark datasets with a variable number of cameras well demonstrate the efficacy of our proposed approach over state-of-the-art methods.
Application and Development Trend of Blockchain in the Financial Field

Blockchain technology, as a new technology, is expected to play an important role in the development of the financial industry. The article first introduces the development status and existing problems of the financial industry, and then studies the sources, concepts and mechanisms of blockchain technology. Combining the problems existing in the financial industry and the blockchain, we can see that blockchain and finance have a natural adaptability. The article further summarizes the current application status of blockchain technology in the financial field, and lists related cases. Finally, according to the application of blockchain technology in finance, the future development trend of blockchain technology is proposed. It has certain reference significance for the development of blockchain and the innovation of blockchain technology in financial applications.
PENDAMPINGAN PELATIHAN "PENGGUNAAN METODE SING A SONG SEBAGAI ALTERNATIF PEMBELAJARAN DALAM PENINGKATAN PENGUASAAN KOSA KATA BAHASA INGGRIS SISWA DI MI AL-IKHSAN CANGA'AN GENTENG"

English as a local content is important and must begin to be taught even though it is still in the operational stage as concrete as in elementary school age children, though only through simple vocabulary recognition. The more someone masters the vocabulary, the more people will be able to speak well and correctly. The fact revealed is that teachers prefer conventional learning with very little use of learning media. To overcome this problem, it is necessary to have a strategy in learning English that encourages and stimulates students to be active in learning, so students want to speak out when they pronounce the vocabulary they say, one of them is the Sing a Song Method. From the results of service that have been done related to the use of the sing a song method as an alternative learning in improving English vocabulary mastery students at MI Al-Ikhsan Canga'an Genteng contributed significantly. After the sing a song method is applied, students tend to be more active and easier to catch new vocabulary, so that the vocabulary of students increases.
Teaching Activity Design Based on the Discipline Key Competence of IT in Secondary Vocational School

This paper, is based on the analysis of secondary vocational students learning of information technology, that’s what we call IT. In response to a new round of curriculum reform emphasizes the key competence, we sum high school IT discipline key competence and vocational education characteristics up to the secondary vocational discipline key competence, and design related teaching activity to change the secondary vocational school IT course “computer application foundation”. So as to improve secondary vocational students’ IT discipline key competence, and to provide the reference for school IT teaching material writing, content design and classroom teaching.
A Study on the Content Validity Analysis of Questions from 2014~2020 College Scholastic Ability Test’s <East Asian History>

< East Asian History > was newly selected as a high school advanced elective subject in the 2007 Revised Educational Curriculum. This change, led by the government, was based on the discourse on East Asian History and the efforts from the academia. Scholastic ability tests can be seen as both the end and the start of an educational curriculum, they serve the purpose of measuring how much of the lessons plan have been achieved by the students after teaching and learning. This research analyzes the content validity of 140 questions from the College Scholastic Ability Test’s < East Asian History > section from 2014~2020. 2009 and 2011 Revised Curriculum were compared and analyzed, and the components of the exam was examined by question type and year. Questions were divided into subjects of politics, economy, society, and culture based on the goal of < East Asian History >, and an additional category was added which combines two or more of the topics in a question. Furthermore, using the division of time periods suggested in the chapters of the curriculum, the proportion of questions on each time era was examined. The result of the analysis showed that the questions were centered on the topic of politics, Chapter V(mid 19th~1945). Achievement standards were used as a reference in order to inspect the questions’ compatibility with the educational curriculum. The questions were first divided by the educational curriculum that was applied and then categorized using the achievement standards. In this step, the compatibility with achievement standards was found, and commonalities among the incompatible questions were also identified. Without active research and search of new materials with the accumulated question bank, it will be difficult to create questions with high discrimination index. Since it is difficult to create questions targeting the same content and achievement standards using the limited amount of resource, it is likely there will be questions outside the content covered in the curriculum. Hence, in order to write questions that test historical knowledge from different angles, we will need < East Asian History > experts focusing on different subfields and time eras. In addition, there is a need for further research accomplishments related to < East Asian History > in the field of history. This will lead to the development of academic resources for the history instructors and will become the driving force that helps < East Asian History > settle into the school environment.
Tromino Tilings with Pegs via Flow Networks.

A tromino tiling problem is a packing puzzle where we are given a region of connected lattice squares and we want to decide whether there exists a tiling of the region using trominoes with the shape of an L. In this work we study a slight variation of the tromino tiling problem where some positions of the region have pegs and each tromino comes with a hole that can only be placed on top of the pegs. We present a characterization of this tiling problem with pegs using flow networks and show that (i) there exists a linear-time parsimonious reduction to the maximum-flow problem, and (ii) counting the number of such tilings can be done in linear-time. The proofs of both results contain algorithms that can then be used to decide the tiling of a region with pegs in $O(n)$ time.
Teaching Digital Competences - An Approach to Engage Multiple Parties into the Process of Teaching Digital Competences in German Schools

Digital competences are describing a set of skills, which are necessary to use digital devices and tools with an adequate degree of self-determination. With the ubiquitous digitization of our lives and our society it is important for every citizen to have digital competences. Therefor, it is necessary to educate those competences in schools. As one cannot assume teachers to have enough digital competences to well educate the children of todays classes, this master thesis tries to find out: How to shape the process of teaching digital competences to adolescents in German schools, focusing on including multiple parties from diverse backgrounds into the process? At first, the current situation of teaching digital competences in German schools is analyzed by means of a literature review. After the identification of the challenges within the German system, international best practices are examined. Therefor, four countries, which have reached high scores in the International Computer and Information Literacy Study are selected. Australia, the Czech Republic, Denmark and the Republic of Korea are compared and possible chances for Germany identified. As the next step, expert interviews with divers parties, which have direct or indirect relation to the German education system, are held. The goal of the interviews is to generate ideas on how to support the education system by external help. At the end of the thesis the recommended approach of Motivating External People is presented. Several measures, such as teaching or mentoring students in a guest lecturer model; providing IT support for the hard- and software of the schools or creating Open Educational Resources as education material for the teachers are presented and possible third parties are named. As it is not possible to support the education system from the outside without education system internal persons, it is presented, what needs to change within the system to get the approach working. Therefor, not a complex and system changing approach is presented, but a combined top-down and bottom-up process to motivate external people to support.
Ontologies for Quantities

This chapter presents and evaluates different proposals for an ontology of quantities. It contrasts, on the one hand, ontologies based on Platonic or Aristotelian universals with those based on particulars, and on the other hand ontologies based on finite domains with those based on infinite domains The latter difference is taken to be more decisive and the chapter argues in favour of infinite domains for quantities. Platonic universals, space-time substantivalism, and quality spaces each provide infinite domains for quantities. This chapter favours the quality spaces approach, according to which each quantity is a quality space and (determinate) quantity values are (determinate) locations in quality spaces.
Sending and Receiving Email

It’s a rare web application that doesn’t need to send email from time to time. For example, you may want to send messages to welcome users who sign up on your website, send "reset password" links, or confirm orders placed with an online store. Rails ships with a library called Action Mailer, which provides developers with an easy-to-use yet powerful tool to handle email.
Review on Content Based Image Processing

Image processing is a kind of data acquisition that includes pictures or video objects for photoinformation. In the area of digital technology and software science for an object detection a series of image featuresor variables are to be generated. The illustration is considered a two-dimensional signal and traditional signalprocessing approaches of total image analysis techniques. Image processing simply refers to digital image storage,even if visual and photographic images are to be handled. Contender-based image recovery (CBIR), amonginvestigators from both industry and academia, was one of the most difficult areas of study. Different CBIRapproaches show that picture recovery is primarily depends on three key commodities. Colour, material, as wellas shape. This paper provides a thorough description as well as challenges of CBIR approaches. This post, whichfollows an awareness approach with MRF, also discusses different techniques for the collection, the indexing aswell as the transformation of features. In fact, for effective image recovery, a technique is also suggested forcombining function with methodology.
IMPLEMENTASI ALGORITMA NAIVE BAYES UNTUK MEMPREDIKSI HASIL PANEN PADI

Rice (Oryza Sativa) is one of the important plants in Indonesia. Rice is produced from rice plants, which is a staple food for the people of Indonesia. One of them is rice producer, Pelabuhan Ratu Distric, the result harvest in Pelabuhan ratu every year experiencing ups and downs that are not stable. As an effort to prevent extreme price increases the need for accurate and accurate predictions about the result harvest in Kecamatan Pelabuhan ratu. lack of predictive advice the result rice harvest resulting in lack of information needed to increase rice production in Kecamatan Pelabuhan ratu. Data mining is one of implementation which is applied to find a model and patterns that are able to make predictions on a data based on previous data in a certain period of time. One algorithm used in data mining techniques for classification is naive bayes. Naive Bayes algorithm is Prediction techniques based on simple possibilities on applying Bayes rules with strong independence.
Individual cognition and collective cognition

Individual cognition and collective cognition must be thought together, in the articulation of the individual logical level and the collective logical level.
Measurement of the Relevance of Energy Internet Industry Based on Co-integration Model

The Internet of Energy is an important starting point for a new round of energy revolution. It will promote the high-quality and sustainable development of various industries. Starting from the five major energy Internet industries, this article explores the impact of five industries: integrated energy services, industrial smart manufacturing services, cloud computing services, smart home services, and new retail services on other industries. Then, the co-integration model is used to quantify the relevance between these five industries and other related industries. In the end, it is found that the integrated energy service industry, new retail service industry, and industrial intelligent manufacturing industry have obvious driving effects on other industries, and range of industries affected by integrated energy service is relatively wide.
Evolutionary Computation with User’s Preference for Solving Fuzzy Fitness Forecasting Problems

Interactive Evolutionary Computation (IEC) is a kind of human–machine interaction calculation method derived from evolutionary computation. The main problem of interactive evolutionary computation is that fitness noise can make evolution direction to deviate from user’s preferences because user’s evaluation has cognitive fluctuations and fatigue. To improve these deficiencies, this paper recommends a fuzzy fitness prediction method based on fuzzy gray model FGM (1,1) with a precise number fitness. First of all, the relationship between fitness noise intensity and the fitness function is proposed. Then, it suggests a linear programming of fuzzy fitness set width under the restriction of minimum noise intensity, which can calculate the fuzzy fitness prediction parameters. Finally, the fuzzy gray model forecasts the fuzzy fitness. The proposed method uses new computation of individual’s dominance relation and crowding distance to realize NSGA–II. The experimental results verify that this method has advantages in improving optimization quality, alleviating user’s fatigue and improving efficiency in exploration.
COMBINING AND FILTERING FUNCTIONS IN THE FRAMEWORK OF NONLINEAR-FEEDBACK SHIFT REGISTER

Strong cryptography of stream ciphers is determined according to the ability of the generated pseudorandom sequence to resist analytical attacks. One of the main components of the pseudorandom stream cipher sequence generating algorithm is Boolean functions for combining and filtering. The paper considers the possibility of applying nonlinear-feedback shift registers that generate a maximum length sequence as a combining or filtering function. The main indicators of cryptographic strength of such functions as: balance, the prohibitions presence, correlation immunity and nonlinearity are examined in this work. The study analyzes and demonstrates correlation immunity and nonlinearity experimental values for all nonlinear feedback shift registers that generate a maximum length sequence, for register sizes up to 6 cells inclusively, and register sizes up to 9 cells inclusively with algebraic degree of the polynomial under 2. The possibility of optimizing the process of selecting Boolean functions according to the criteria of maximum correlation immunity and nonlinearity with various algebraic degrees and minimization of the number of monomials in the polynomial is studied.
Information (ICT) security and Libraries

The paper provides to brief introduction of the term ‘Information Communication Technology Security with special reference of libraries and information centres”. The paper also discusses important facts for better information security in a system or organization like libraries. The library is a centre for a acquisition and dissemination of information to its user so that this is a really important to all the library professionals to take preventive steps like policy and guidelines to safe and secure the acquire e-resources and content. Many of the information professionals observe that new technological development in the form of computers, telecommunications, electronics and Internet have been adopted in libraries to serve the researchers & academics. In the present digital world where Information Technology has become an essential part of the libraries. However libraries continue to increase their use of IT, the security risk increasing more rapidly. Misuse by professionals, students, users, viruses, hackers and other abuse have created need for various ways and methods implementing in Information Security. In this paper, I have tried to highlight on Information about Information Security Management for organizations and socio-ethical issues related to it. Also, methodology for assessing information Security in networked libraries is also discussed. Keywords: Information security, Socio-ethical, Information Communication Technology, Library
PENGARUH MODEL PROBLEM BASED LEARNING TERHADAP HASIL BELAJAR MATEMATIKA SISWA KELAS IV SDN 1 KAWO TAHUN AJARAN 2019/2020

This research aimed to find there is or there no The Effect of Problem Based Learning Model Toward Result of Studying Mathematics at The Fourth Grade Students of SDN 1 Kawo in Academic Years 2019/2020. This research is experimental research the kind of research is quasi-experimental type nonequivalent control group design. This population of the research consists of all the fourth grade of a student at SDN 1 Kawo. The sampling technique of this research used Purposive sampling with total sample nineteen students fourth grade A and seventeen students grade B at SDN 1 Kawo. The technique of data collecting of this research is the learning outcome tested multiple-choice test. (pre-test and post-test). To analyze data the researcher used SPSS 21 Version. Testing research Hypothesis used independent test calculation sample t-test. The result of data analysis showed the t-test was 2.551 and t-table was 2.028 the level of significance 5% with a degree of freedom 34 it could be concluded that Ha was accepted and Ho was rejected. The hypothesis of Research accepted read that on The Effect of Problem Based Learning Model Toward Result of Studying Mathematics At Fourth Grade Students of SDN 1 KAWO In Academic Years 2019/2020.
La nascita del biodiritto come prodotto della costituzionalizzazione dell’ordinamento

The following essay focuses on the origins of Italian Constitution and on Founding Fathers’ idea of human rights. The author describes the developments since the entry into force of the Italian Constitution, emphasizing in particular the so called Constitutionalisation of legal system. This process has shifted the focus from the authority of State to the individual, contributing to the origins of Biolaw’s study. Two opposite extremes can compromise the recognition of the biorights: the trend to transform every personal desire in a right, on the one hand, and a paternalistic attitude, on the other hand.