Reviewerly/exHarmony huggingface dataset:
Pairwise Comparisons in a Logic-Based Recommender System

In this paper, we propose a recommender system using pair-wise comparisons as the main source of information in the user pref-erence elicitation process. We use a logic-based approach implementedin APARELL, an inductive learner modelling the user's preferences indescription logic. A within-subject preliminary user study with a largedataset from a real-world domain (car retail) was conducted to comparepairwise comparison interface to one using standard product list search.The results show the users' preference for the interface based on pairwisecomparisons, which has proven signifcantly better in a number of ways.
A deep dive into Hyperledger

Hyperledger is an open -source, network -oriented effort made to propel cross industry blockchain developments. It is a worldwide facilitated exertion remembering pioneers for banking, cash, Internet of Things, manufacturing, supply chains, and advancement. The Linux Foundation has Hyperledger under the establishment. This chapter gives an elevated level overview of Hyperledger: why it was made, how it is represented, and what it would like to accomplish. The core of this chapter presents five convincing uses for big business blockchain in various ventures. It depicts how the Hyperledger guarantees the secure, progressively solid, and increasingly streamlined communication.
Unpacking Reading Text Complexity: A Dynamic Language and Content Approach

Reading texts may serve as a vital source of informational content and language knowledge for English language learners, which is known as the dual relevance of second language reading (Han & D’Angelo, 2009). Text complexity, however, mediates the two, determining to a great extent whether the dual outcome is attainable. Drawing on Complex Dynamic System Theory (CDST, de Bot, 2017), the present study conceives text complexity as residing primarily in the dynamic interplay between language and content complexity and their respective subsystems. To examine the viability of this conceptualization, this study analyzed language complexity and content complexity of authentic science texts sampled from high school and college textbooks on four different subjects. Results show that college texts in general exhibited greater language and content complexity than high school texts, especially in terms of sentence length and the use of complex nominals. Aside from this emerging pattern, variability characterized the magnitude of difference in complexity and the manner in which the texts differed. Overall, the findings from this study attest to the mutually reciprocal dynamics of language complexity and content complexity embedded within authentic texts.
The application of interactive technologies for teaching mathematical modeling to students

The relevance of the research issue is due to the organization of the educational process based on the contemporary techniques for teaching, in particular, interactive technologies. The concept of “interactive education technologies” has assumed particular significance. It is more than just a process of interaction between a teacher and a student; it is a new stage of the educational process. In the current system of teaching mathematics to students of non-mathematical specialties, in particular future teachers of chemistry, there are a number of negative trends, among which the formalization of mathematical knowledge should be observed. The article aims at considering the use of interactive technologies in teaching mathematical modeling in educational institutions. The leading approach to the study of this issue is the main function of interactive learning capable of revealing the effective use of interactive technologies in the educational process. The key findings of the study is the solution to the problem of information and communication technologies in teaching mathematical modeling, through which students can demonstrate the improved results of their activities in the educational process of the university. The main results are indicators of interactive forms –a group work, including the work in small groups.
Peningkatan keterampilan bahasa pada anak usia dini melalui metode bercerita

This paper aims to describe the application of improving language skills in early childhood through storytelling methods. The results of the discussion showed that the method of storytelling can improve language skills in early childhood, because storytelling is something that is exciting for children and has many benefits in developing children's abilities, especially in terms of language skills. This is because the storytelling method can improve the mastery of new vocabulary and encourage the activeness of children which in turn can improve children's language skills.
Suffissi valutativi in Plauto: una proposta cognitivista e morfo-pragmatica

Latin evaluative suffixes, especially diminutives, have received considerable attention in the relevant literature, but a morphologicalpragmatic analysis of their uses is still lacking. This work aims at analysing the behavior of the archaic Latin suffix -llus within a theoretical framework combining Dressler – Merlini Barbaresi’s (1994) morpho-pragmatic model and the cognitive perspective on polysemy and the pragmatic polyfunctionality of evaluative suffixes. As an evaluative suffix, -llus is used with a proper diminutive function that adds to the base the semantic component [ small ] . In many cases, however, -llus plays a function related to the complex system of relations between the speaker, the listener and the communicative situation. In such cases, it has scope on the entire speech-act and is used to express a range of meanings among which imprecision, attenuation, endearment, euphemism, irony, playful or generically affective attitude. DOI: 10.4424/lam92020-3
Technological University and Its Affiliated Engineering Colleges Event Tracking System Using Blockchain Technology

Now a day’s people getting all information’s through web applications. The objective of this work is to develop a system that will provide the details of Engineering colleges and Universities in Karnataka and the complete information of all the events happening in different colleges. Events like conference, fest etc. All the details will be provided in this system. In TUECETS Users or visitors can easily get to know currently happening events and events which are to be held later. Universities and affiliated Engineering colleges administrator can post the details of the events in this system through BC. Administrator will be responsible to maintain all the posts and events details. Events can be posted in the system only after the approval of the administrator through Blockchain. It will be very useful to all users to know the events and activities details of particular university.
Exploring Containers, Classes, and Objects

In this chapter, we progress to some other essential concepts in Python - various types of containers, the methods that can be used with each of these containers, object-oriented programming, classes, and objects.
On the Problem of Development of Source Base on History in Russia in the Middle of the 19th Century

The article is concerned with the government policy in the field of publication of scientific origins connected with activities of Russian Historical association in Moscow University. The government activity in scientific sphere was connected with ideology. Ministry of enlightenment tried to prohibit publication of ‘harmful’ books. The author concludes that government interference into scientific affairs could not be unlimited. Russian university scientists protested against administrative influence into development of science and publication of historical sources.
Speed improvement of the quantum factorization algorithm of P. Shor by upgrade its classical part

This report discusses Shor’s quantum factorization algorithm and ρ–Pollard’s factorization algorithm. Shor’s quantum factorization algorithm consists of classical and quantum parts. In the classical part, it is proposed to use Euclidean algorithm, to find the greatest common divisor (GCD), but now exist large number of modern algorithms for finding GCD. Results of calculations of 8 algorithms were considered, among which algorithm with lowest execution rate of task was identified, which allowed the quantum algorithm as whole to work faster, which in turn provides greater potential for practical application of Shor’s quantum algorithm. Standard quantum Shor’s algorithm was upgraded by replacing the binary algorithm with iterative shift algorithm, canceling random number generation operation, using additive chain algorithm for raising to power. Both Shor’s algorithms (standard and upgraded) are distinguished by their high performance, which proves much faster and insignificant increase in time in implementation of data processing. In addition, it was possible to modernize Shor’s quantum algorithm in such way that its efficiency turned out to be higher than standard algorithm because classical part received an improvement, which allows an increase in speed by 12%.
Text Mining News Analysis on North-South Korea Relation: News Coverages for 227 months

본 연구는 227개월 약 44만 건에 나타난 남북관계 뉴스의 핵심적 내용을 파악하기 위한 연구이다. 2000년 6월 1일부터 2019년 4월 30일까지 뉴스 기사 제목을 수집하여 하루에 보도된 모든 기사 제목을 하나의 분석 단위로 놓고, 장기간의 경향을 추적하였다. 그동안 사건 및 이벤트 중심의 언론 보도 연구는 주로 프레이밍을 이론적 기반으로 하여, 언론사의 입장에 따라 남북관계를 어떻게 바라보고 보도하는가를 중심으로 다루어 왔다. 그 결과 실제 유통되는 담론에 대한 장기적 관점의 시각이 확보되지 못하여, 남북관계와 관련된 담론 내용을 통시적으로 살피지 못했다. 또한, 방법론상으로 단기간 또는 소수의 언론사에 치중하여 연구함으로써 자료의 대표성을 확보하지 못하였으며, 사람에 의한 내용 분석에만 의존하는 경향이 있었다. 본 연구는 장기간 대규모 자료를 활용하고, 컴퓨테이셔널 사회과학 방법론의 하나인 텍스트 마이닝 연구 기법을 통해 보도된 자료를 분석하고자 하였다. 연구 결과, 장기간 보도 내용의 핵심은 남북한 소통과 대화였고 또한 평화를 위한 남한 정부의 중재적 역할의 부각이었다. 남북 갈등에 관한 사항은 장기간으로 볼 때, 일부에 지나지 않았다.The purpose of this study is to delineate the central theme of news on North-South Korea relation. The Data is drawn from the beginning of June 2000 to the end of April 2019. In contrast to previous studies that has been event-driven and emphasized the framing of news media organizations and how they reacted upon the issues on the relation, this study takes a longitudinal approach to find the gist of disseminated news contents for 227 months. According to the research result, it is found that the dialogue and communication between North. and South Korea has been dominated by their negotiation and communication for peace between the two Korea rather than conflicts and tensions.
IMPLEMENTASI DAN ANALISIS PERBANDINGAN PERFORMANSI ROUTING PROTOCOL EIGRP, IS-IS, DAN OSPFv3 PADA IPV6 UNTUK LAYANAN TRIPLE PLAY

ABSTRAKSaat ini protokol yang sering digunakan ialah IPv4. IPv4 memiliki keterbatasan yaitu hanya dapatmenampung 4,3 miliyar pengguna. Cepat atau lambat penggunaan IPv4 semakin terbatas. Sehingga IETFmengembangkan IPv6 yang dapat menampung 2128 pengguna. Ada beberapa routing protocol yang dapatdigunakan pada IPv6. Beberapa diantaranya adalah EIGRP (Enhanced Interior Gateway Routing Protocol)menggunakan algoritma DUAL (Diffusing Update Algorithms), IS-IS (Intermediate System-to- IntermediateSystem), dan OSPFv3 (Open Shortest Path First version 3) yang menggunakan algoritma link-state.Graphical Network Simulator 3 (GNS 3) digunakan untuk menyimulasikan routing protocol EIGRP, ISIS, dan OSPFv3 dengan topologi mesh. Pengujian dilakukan menggunakan 5 router, 1 server, dan 2 client.Parameter yang digunakan adalah packet loss, throughput, delay, jitter, dan waktu convergence. Dengan bagroundtrafik 25 Mbps, 50 Mbps, 100 Mbps, dan 150 Mbps.Pada proyek akhir ini menunjukan bahwa routing protocol IS-IS memiliki hasil yang baik pada layanandata dengan delay 2,971 ms, video streaming dengan delay 0,021 s, dan waktu convergence 30,60 s. Sedangkanrouting protocol EIGRP memiliki hasil yang baik pada layanan VoIP dengan delay 13,56 ms.Kata Kunci: IPv6, EIGRP, IS-IS, OSPFv3, Triple Play.ABSTRACTCurrently the protocol that is often used is IPv4. IPv4 has the limitation that it can only accommodate4.3 billion users. Sooner or later the use of IPv4 is getting limited. So the IETF developed IPv6 which canaccommodate 2128 users. There are several routing protocols that can be used in IPv6. Some of them are EIGRP(Enhanced Interior Gateway Routing Protocol) using the DUAL algorithm (Diffusing Update Algorithms), IS-IS(Intermediate System-to-Intermediate System), and OSPFv3 (Open Shortest Path First version 3) which uses alink-state algorithm.Graphical Network Simulator 3 (GNS 3) is used to simulate the EIGRP, IS-IS, and OSPFv3 routingprotocols with a mesh topology. Testing is done using 5 routers, 1 server and 2 clients. The parameters used arepacket loss, throughput, delay, jitter, and convergence time. With a traffic baground of 25 Mbps, 50 Mbps, 100Mbps, and 150 Mbps.This final project shows that the IS-IS routing protocol has good results on data services with a delay of2.971 ms, video streaming with a delay of 0.021 s, and a convergence time of 30.60 s. Meanwhile, the EIGRProuting protocol has good results on VoIP services with a delay of 13.56 ms.Keyword: IPv6, EIGRP, IS-IS, OSPFv3, Triple Play
An Extended Rule of the SysML Requirement Diagram Transformation into OWL Ontologies

The System Modeling Language (SysML) used the Requirement Diagram to model non-functional requirements, such as response time, size, or system functionality, which cannot be accommodated in the Unified Modeling Language (UML). SysML Requirement Diagram, in its implementation, integrates with several diagrams describing the requirements, which are referred to as additional elements. The absence of transformation rules for these additional elements to become OWL ontology causes difficulties in reading, understanding, and tracking the requirements. In this research, an extended rule of the Requirement Diagram transformation is proposed to solve the problems. First, some transformation rules are defined to make requirements easier to trace and realize the ontology generation's automatic transformation. Second, the time required during transformation processing to prepare and generate the OWL file shows the proposed model's performance. The ontology components produced from this research, such as class, subclass, object property, and data property, can be viewed in Protégé.
DECISION SUPPORT SYSTEMS FOR SELECTING THE NUTRITIOUS FOOD FOR OBESITY PATIENTS WITH THE MOORA METHOD

Besides doing activities and diligent exercise, maintaining diet and health is very important for everyone. Maintain health and body shape, especially in people with obesity. Lack of attention and knowledge of the nutritional content of food consumed causes many people with irregular eating patterns and without choosing what foods should be consumed become one of the causes of obesity. Obesity is overweight with excessive fat filling. But obesity can certainly be prevented and repaired with proper food selection knowledge and good to eat. The decision support system can be a solution for obese people to know the food that should be suitable for consumption. By implementing the MOORA method on the decision support system that calculates values automatically by the system and produces the best alternative. So the research results in the form of the best alternative value food that should be consumed are presented in the form of manual calculations that are likened to the calculations on the system with ranking so that the result is a benchmark for obese people to choose suitable food for consumption.
Discussion on Teaching Reform of Business Plan Writing Course for College Students

Business plan writing; Teaching reform; Innovation and entrepreneurship education
Team voyTECH: User Activity Modeling with Boosting Trees.

This paper describes our winning solution for the ECML-PKDD ChAT Discovery Challenge 2020. We show that whether or not a Twitch user has subscribed to a channel can be well predicted by modeling user activity with boosting trees. We introduce the connection between target-encodings and boosting trees in the context of high cardinality categoricals and find that modeling user activity is more powerful then direct modeling of content when encoded properly and combined with a suitable optimization approach.
Russian education trends: protracted regression or moving forward

The purpose of the study is to conduct a comparative analysis of educational reforms in advanced economies and in Russia so performed differently at various instances and to identify positive and negative trends in the system of Russian education based on the results of moving to a two-tiered system of education.Research methodology: the article presents a description of the methods of theoretical research (analysis, synthesis, generalization), expressed in the consistency of the conceptual apparatus, the relationship of concepts and basic principles, ensuring the relationship between functional theoretical principles based on the reform of the Russian education system, and empirical methods (observation, measurement), providing research results based on the realities of modern reality. The systematic approach is analyzed for a qualitative study of the processes and phenomena occurring in the Russian education system, aimed at solving the following problems of professional education: development of theoretical concepts based on system principles; educational process management; substantiation of the consistency of conclusions and proposals characterizing the processes of education.Results: annually forecast the need for staffing in territorial planning, introduce a correlation in the recruitment for higher and secondary vocational education programs, revive the training system for workers and restore the prestige of secondary vocational education.
Small Group Discussion Using WhatsApp as Learning & Evaluation Tool for Nutrition & Dietetics Students

Small group discussion (SGD) using WhatsApp platform is a student-centred learning innovation to overcome the problems of lack of optimum preparation and participation by students when SGD is conducted in the classroom. Nutrition and dietetics undergraduate students (n=46) who enrolled for Multi-ethnic Cuisine & Etiquette course were given a task to conduct a group discussion on two topics using WhatsApp as part of their continuous assessment for this course. The instructor then evaluated group and individual participation and administered an online survey form to obtain students’ reflection on the task. Survey items consisted of six clusters and rated on a five-point Likert scale. The results showed that Participation cluster obtained the highest average score of 4.46±0.62, followed by Learning (4.16±0.73), Past Experience (4.14±1.05) Attraction (3.99±0.85), Implementation (3.96±0.90) and Emotion cluster (3.88±0.95). The results suggest that SGD using WhatsApp is a student-friendly, fun learning style and an easy evaluation tool for instructors to track individual participation and discussion content. SGD using WhatsApp diminishes the time required in the classroom conducting an ineffective discussion and inefficient evaluation by instructors. This innovation could be used as part of teaching and learning in many other courses to enhance students' learning experience and aid instructors in conducting a better evaluation.
RESEARCH DEVELOPMENT TRENDS ACTIVITIES IN UNIVERSITIES

The article is devoted to the development of university science inaccordance with the new educational system. Some points of view on the modernityof pedagogical research, on the need to revise the traditional methodology ofscientific research are considered.
Rancang Bangun Biografi Pahlawan Nasional Berbasis Android

This beloved Indonesian independence is thanks to the great services of the heroes who have valiantly and all their souls fought for the nation from before to after independence. So that the history of the struggle is not forgotten, it is necessary to develop a system that makes it easy for all Indonesian citizens to remember and remember the struggles of the heroes. As the rapid development of technology, especially Android-based smartphones that have been used by almost all walks of life, an application system about the biographical history of the struggle of national heroes can be used anywhere. The problem of this research is how to produce a national hero biography application system based on Android. The software is developed by modeling Waterfall, the system modeling uses UML (Unified Modeling Language). The purpose of this research is to produce a system that will present a biographical history of national heroes visually that can help remember, remember and add to the public's knowledge in getting to know the National Heroes.
METODOLOGIA ANALITICA PARA EL ANALISIS DE BIOMARCADORES TERPANOS Y ESTERANOS EN MUESTRAS DE CRUDOS MEDIANTE CROMATOGRAFÍA GASEOSA ACOPLADA A ESPECTROMETRIA DE MASAS.

Biomarkers are complex molecules derived from formerly living organisms such as bacteria, fungi, algae, plankton, lichens, mosses, ferns and other higher plants. Biomarker concentrations are relatively low in oil and due to the high stability of its chemical structures, they are archaeological witnesses to its formation and transformation process. Based on the qualitative and quantitative composition of the molecules, it is possible to know the degree of oil biodegradation, determination of depositional environmental conditions (such as marine, terrestrial, deltaic, or hypersaline environments) and the type of precursor organic matter in the source rock. In addition, it is possible to carry out environmental, forensic and behavioral studies of hydrocarbon reservoirs. The objective of the present work is to develop an analytical methodology to obtain the distribution of saturated terpanes and steranes biomarkers using combined gas chromatography–mass spectrometry. From the extracted ion chromatograms, the peaks of 37 compounds from the group of terpanes and 19 compounds from that of the steranes were identified and integrated. The distribution was determined with their characteristic fragment ions of m/z 191, m/z 217 and m/z 218. Repeatability, intermediate precision and relative standard deviations were lower than 5%, which shows that the results are in agreement with the quality criteria established for analogous chromatographic methods
The Implementation of K Means Algorithm for Cluster Majoring to New Students in SMKN 2 of South Tangerang

The diversity of majors in vocational schools of SMKN 2 South Tangerang makes some students confuse of their choices. Determination of majors is important because it will affect the academic activities of students. The purpose of the right majoring is so that students can learn optimally, and be able to equip themselves with competency skills according to their talents, interests and abilities when entering the workforce. This study applies the Clustering Method with the K-means Algorithm, to help students determine their majors, also helps the school in clustering majors. Determination of these majors is based on 320 student data with attributes of the National Examination during Junior High School (Mathematics, English, Indonesian, and Science), Registration Pathways, and Gender. Calculations that occur as many as 7 iterations with the K-Means Clustering Method, with the final centroid: C1 = 1.55; 4.08; 3.65; 4.06; 3.36; 1.93. C1 represents the Industrial Electronics Engineering Major, with the results of 49 students. C2 = 1; 3.69; 3.26; 2.55; 3.09; 1.96. C2 represents Light Vehicle Engineering majors, with 95 students. C3 = 1,98; 4,09; 3,60; 2,79; 3,083; 1,94. C3 = 1.98; 4.09; 3.60; 2.79; 3,083; 1.94. C3 represents the Accounting major, with 96 students.  C4 = 1.18; 3.90; 3.39; 2.18; 2.02; 1.93. C4 represents the Multimedia major, with a total of 44 students And C5 = 1,055; 3.72; 2; 2,389; 2.86; 1.97. C5 represents the Motorcycle Business Engineering major with 36 students.