Reviewerly/exHarmony huggingface dataset:
Incorporation of contextual information through Graph Modeling in Web content mining

Objectives:The objectives of this research article is to deal with the problem of web document clustering by modeling the web documents as directed completely labeled graphs that incorporate contextual information in the computation process to the extent required.The computational complexity of the MCS algorithm based on this graph model is O(n 2 ), n being the number of nodes.As graph similarity using MCS is an NP-complete problem, so this is an important result that allows us to forgo sub-optimal approximation approaches and find the exact solution in polynomial time.Method: The first step towards this new approach of web document clustering is the representation of the web documents with the help of a directed completely labeled graph that can retain contextual information of the document under consideration.After graphical modeling of the document, the next step is the calculation of similarity between the graphical objects.For this purpose, a customized algorithm proposed as Algorithm for Maximum Common Subgraph Isomorphism (AMCSI) (1) based on a backtracking search scheme is being used.The proposed AMCSI algorithm is solving the problem of maximum common subgraph isomorphism in polynomial time.After obtaining the value for the similarity between the graphical objects we are again using a customized fuzzy-c means algorithm to produce clusters from the target set of web documents.We are using multidimensional scaling to express the distance values between the web pages (graphs) in two coordinates (x,y) and deterministic sampling to calculate the graph median in the process of fuzzy c-means clustering.Findings: We present an alternative method for web document clustering by representing the web documents as directed completely labeled graphs where the computational complexity of the MCS algorithm is O(n 2 ) (1) .A new distance measure is also developed based on the directed completely labeled graph representation which is giving 16.9% better result than the prevailing methods (2) .For the clustering purpose, we have chosen the fuzzy cmeans clustering algorithm and customizing the original algorithm to fit with graphical objects.This approach enables us to model the web documents as graphs without discarding contextual information and then cluster these graphical objects with the help of a well-established clustering algorithm.
The Emerging Roles of Faculty Staff in Arab Universities of The Requirements of the Fourth Industrial Revolution

The research aimed to determine the roles developed for faculty members in Arab universities in the requirements of the Fourth Industrial Revolution .to achieve this goal the study employed the descriptive analytical approach, to analyze educational heritage and previous relevant studies to characterize the current reality of the roles of faculty members in Arab universities. Defining the concept of the fourth industrial revolution and its implications for university education and use that to define the most important new roles for faculty members in the requirements of the Fourth Industrial Revolution. The research reached to define a number of roles developed in the fields of: Teaching and education, Scientific research, social responsibility and community service, leadership and governance, building a knowledge society nurturing and developing creativity, facing the challenges and dilemmas of the Fourth Industrial Revolution, facing Arab reality crises and facing the challenges of the Corona pandemic.
Evaluating Learning for the Multiple Constituencies of Higher Education: A Call for Action, A Call for Research

This paper explores the rapidly changing world of higher education and the need for different ways to identify learner outcomes and evaluate student learning. In recent years, higher education has experienced significant demographic shifts in student populations. These shifts were the result of numerous variables including the increasing cost of higher education, the demand from business and industry to get people into high-demand occupations faster, and the decreasing number of individuals choosing post-secondary education immediately following high school. The year 2020 brought unprecedented challenges to the world with the pandemic caused by the coronavirus known as COVID-19. The pandemic accelerated the change that was already taking place in higher education. From how education was delivered to where it was delivered, higher education was forced to rapidly change a centuries-old model. This paper explores a tier one research university’s response to the changes in higher education by employing a proven process of mapping learning outcomes, assessing both new and prior learning using innovative technology, issuing microcredentials, and working with policymakers and employers to meet workforce demands. Keywords: Higher education1; Microcredentials2; Learning outcomes3 Mapping4; Assessment5.
Implementation of Multilingual Chatbot

Chatbots – otherwise called "conversational agents" – are software applications that mimic human speech to simulate a discussion or communication with a genuine individual. Chatbots measure the content introduced to them by the user, prior to responding as indicated by a complex series of algorithms that deciphers and recognizes what the user said, deduces what they mean, and decides a progression of fitting responses dependent on this data. The flaw in this technology is that, majority of the chatbots support English language only and not many have the expertise to impart in numerous dialects. We can’t expect all the users using this technology to know and communicate in English, and despite that, a study shows that individuals are inclined toward imparting in their local language since it's more convenient. We’ve made our attempt to overcome this flaw by building a system that is plurilingual and can communicate in a total of 108 languages. Through this paper, we explain the development of a multilingual chatbot i.e., a bot that can converse with users in multiple languages, it can be a tremendous asset to any organization. This particularly holds true in an exceptionally semantically assorted nation like India.
Peran Guru Dalam Meningkatkan Keterampilan Membaca Pada Siswa Kelas II SD

&lt;p&gt;&lt;em&gt;The duties and responsibilities of a teacher include creating an atmosphere or climate for the learning process that can motivate students to always study well and enthusiastically. The teacher's role is as an educator, teacher, mentor, director, trainer, assessor, and evaluator of students. Reading is a language skill that has a very important role in life. Cultured and educated humans make reading a necessity in communication. By reading students will easily get knowledge and insight from anywhere. Based on the above, it can be concluded that without good reading skills, students will not be able to understand the learning process and the material being taught. Therefore, the teacher's role is needed in improving reading skills in second grade elementary school students.&lt;/em&gt;&lt;/p&gt;
Incorporating tone in the calculation of phonotactic probability

This paper investigates how the ordering of tone relative to the segmental string influences the calculation of phonotactic probability.Trigram and recurrent neural network models were trained on syllable lexicons of four Asian syllable-tone languages (Mandarin, Thai, Vietnamese, and Cantonese) in which tone was treated as a segment occurring in different positions in the string.For trigram models, the optimal permutation interacted with language, while neural network models were relatively unaffected by tone position in all languages.In addition to providing a baseline for future evaluation, these results suggest that phonotactic probability is robust to choices of how tone is ordered with respect to other elements in the syllable.
Comparative Analysis of the Quality of Service of the FXS Module with the Internet Telephony Gateway

Nowadays the exchange of information is easier to obtain, also communication process is faster and not hindered by regional factors. This process is supported by telecommunications devices, such as telephones. The use of telephones in agency generally uses PBX system because it has advantages in cost, flexibility, and communication security. With the development of the era, the technology of PBX devices must be updated, but there is a solution besides updating the device, which is to add modules or devices while still using the existing PBX. This research discuss the analysis regarding the comparison of service quality of the Internet Telephony Gateway with the FXS module. The system uses the network as a medium for exchanging communication data, so all communication devices used must be connected to the local network. Communication between devices can occur when each communication device is registered on the PBX server. Testing the quality service is influenced by amount of jitter, packet loss, and throughput. From the test results, it can be concluded that the number of active users simultaneously affects the value of jitter, packet loss, and throughput. When 8 ports of the FXS module are used simultaneously, the average jitter value reaches 27,625 ms, the packet loss value is 156,875%, and the throughput is 66,625 kb/s. Meanwhile, the TA1600 was able to serve 16 users with an average jitter value of 57,875 ms, packet loss reaching 227.31%, and a throughput of 26.31 kb/s. These results were obtained through the Zoiper application statistical data.
Implementasi Fuzzy C-Means dan Possibilistik C-Means Pada Data Performance Mahasiswa

Students are the most important component in a university, especially private universities especially Universitas Islam Darul ‘ulum (Unisda) Lamongan. One of the most important roles of students for higher education is achievement. This study aims to determine the role of Fuzzy Clustering in classifying student performance data. The data includes GPA (Grade Point Average), ECCU (Extra-Curricular Credit Unit), attendance, and students' willingness to learn. So that groups of students who have the potential to have achievements can be identified. In this case, the grouping of student performance data uses Fuzzy Clustering by applying the Fuzzy C-Means (FCM) and Possibilistic C-Means (PCM) algorithms with the help of Matlab. In the FCM algorithm, the membership degree is updated so as to produce a minimum objective function value. Meanwhile, the PCM algorithm uses a T matrix, which shows the peculiarities of the data which are also based on minimizing the objective function.
Error Analysis of Junior High School Students’ Vowel Pronunciation

Mobile learning has brought significant changes in English language teaching and learning.Fun Dubbing, as one of the Apps to learn English pronunciation, has drawn extensive attention among students.This paper aims to analyze the errors that junior high school students make in Fun Dubbing based on Error Analysis.The results showed that negative transfer of Hanyu Pinyin, wrong distinction between short vowels and long vowels and lack of knowledge about confusing phonemes are three major causes of errors.In addition, some suggestions are provided for English language learners.
PERANCANGAN APLIKASI INFORMASI BENGKEL MOBIL DAERAH JAKARTA BARAT BERBASIS ANDROID

The vehicel describe wrong one tool transportation that most needed as a means transportation in activity daily. Driver or riders normally have desire while driving i.e comfort in driving. driver could get comfort in driving with service vehicle an routine. car workshop is a place to fix vehicle that broke down or do service an rutin. author aims designing application this to assist driver get information abbout car workshop nearby and prevent occurrence accident result rarely do service vehicle car. Method algorithm that used in designing application this i.e use method algorithm djikstra. Algorithm Dijkstra is algorithm determine distance shortest from point A to point B. Application this also use google maps as map that could ease users to location car workshop that headed. With availabity application is be expected can help and facilitate consumer within doing activity in Jakarta Barat, if having problems vehicle to heave. Keywords : Djikstra, Car Workshop, Android
Application of artificial intelligence technology in removal of heavy metals from water by iron oxide

Heavy metal pollution is even more harmful to human health.This paper studies the application of artificial intelligence technology in the removal of heavy metals from water by iron oxides.PBTCA and th-904 molecules are adsorbed on the surface of nanoparticles to form a layer of polymer protective film, which surrounds the nanoparticles, effectively preventing the formation of nano zero-valent iron aggregates.nZVI-Fe 3 O 4 /ACF composites were prepared.The experimental results show that the adsorption kinetic model of the composite material conforms to the pseudosecond-order reaction adsorption rate model.With the increase of pH value, the adsorption percentage of Cd(II) and Pb(II) increases, and the adsorption percentage of Cd(II) tends to balance within 120 min, reaching 99.25%, 0037 mg/L, meeting the World Health Organization (WTO) standard for Cd(II) in drinking water (0.005 mg/L).
Perancangan Aplikasi Pengenalan Tokoh Penemu Benda-Benda Penting Di Dunia Berbasis Android Menggunakan Metode Sequential Search

The inventor figures succeeded in contributing to people's lives and making people's lives developed with the findings of the inventor figures, but there are still many people who do not know and know the inventor figures, people only know the objects found by the inventor figures but do not know who the characters find the objects. that thing. The introduction of the inventor character is one of the reference materials that can be used to introduce the inventor character. In this day and age, android-based inventor character recognition applications are very efficient to use. In making a character recognition application, strings can be implemented for the word search process. String can be interpreted as an approach how to find the pattern of arrangement of string characters in other strings or part of the body of text. String has several algorithms, one of which is the Sequential Search algorithm where this algorithm is a very simple search algorithm that is carried out by comparing data one by one from a predetermined data set (Array) until the data is completed (found) or there is no match (not found). ). This inventor character recognition application is designed by utilizing the setudio android software. So that the application is easier to use and can be used independently anywhere and anytime.
Moving Towards FAIR Data Practices in Pharmacy Education

Pharmacy schools are generating significant amounts of data across the training continuum, including data about student selection, performance, and job placement. However, current data practices limit the Academy’s ability to effectively leverage the vast amounts of data available within and across pharmacy institutions. To improve data practices and promote the quality and reusability of data, a set of guiding principles for data management and stewardship were developed and published in 2016. The FAIR principles state that digital objects should be findable (ie, data have a unique identifier and are registered in a searchable resource), accessible (ie, data are retrievable by their identifier using an open, free, standardized protocol), interoperable (ie, data use a formal, accessible, shared, and broadly applicable language, and include qualified references to other data), and reusable (ie, data are described with accurate and relevant attributes, released with a data usage license, and meet domain-relevant community standards). This commentary advocates for improved data practices and provides recommendations for advancing FAIR data principles in pharmacy education.
Pervasive Learning Environment for Educational Makerspaces with Emerging Technologies and Teaching and Learning Transformation

In 21st century the technological innovation has reshaped our educational system. Different educational methods and environments are used to facilitate students and teachers. Educational makerspaces are also one of them. This new trend has shifted educational system to student centered instead of teacher centered. Pervasive Learning (P-Learning) environment for educational makerspaces is one of the emerging environments for teaching and learning due to price reduction in handheld devices’, facility for sharing the technological resources, support, and smartness of smartphone technology. Educational Makerspaces environment provide the facility to teachers and learners to create a virtual environment fully equipped with latest ICT tools to share ideas, to perform experiments and collaborate with each other whenever and wherever they are. Thus, P-learning for educational makerspaces can access and share the resources for teaching and learning material beyond the boundaries of the traditional classroom arrangement. This paper presents the idea of P-learning environment for educational makerspaces which is not limited to a single geographic location or mobile or location-based technologies; rather, it accesses, shares the resources, and facilitates teaching and learning from anywhere and at any time with any handheld device means 24*7*12. The purpose of this paper is to propose a fully equipped makerspace classroom so that the students from remote areas or who cannot afford laboratory expenses can access virtually labs, share their ideas, collaborate with each other, and perform experiments
PEDAGOGICAL MANAGEMENT IN THE PRACTICE OF MANAGING THE EDUCATIONAL PROCESS IN PRIMARY SCHOOL

"The article deals with the concept of pedagogical management, the content of which is aimed at developing the culture of management activities of primary school teachers. From the point of view of management of educational systems and processes, pedagogical management is a branch of pedagogy, the subject of which is the organization of management in the field of education and in educational institutions. Modern primary schools need not only teachers who are able to explain new material and organize their work, but also those who are able to competently manage the educational and cognitive activities of students. Modern pedagogical science and practice strive to understand the whole pedagogical process from the standpoint of management science, to give it a strict scientifically justified character. In terms of restructuring management structures in Kazakhstan special attention is paid to pedagogical management, managerial expertise, learning management models, since the features of management due to a combination of factors, among which the major role is played by forms of government, types of education management, the degree of development of the educational market. "
CSECU-DSG at SemEval-2021 Task 7: Detecting and Rating Humor and Offense Employing Transformers

With the emerging trends of using online platforms, peoples are increasingly interested in express their opinion through humorous texts.Identifying and rating humorous texts poses unique challenges to NLP due to subjective phenomena i.e. humor may vary to gender, profession, age, and classes of people.Besides, words with multiple senses, cultural domain, and pragmatic competence also need to be considered.A humorous text may be offensive to others.To address these challenges SemEval-2021 introduced a HaHackathon task focusing on detecting and rating humorous and offensive texts.This paper describes our participation in this task.We employed a stacked embedding and fine-tuned transformer models based classification and regression approach from the features from GPT-2 medium, BERT, and RoBERTa transformer models.Besides, we utilized the fine-tuned BERT and RoBERTa models to examine the performances.Our method achieved competitive performances in this task.
PENERAPAN SISTEM KOMPUTERISASI HAJI TERPADU (SISKOHAT) TERHADAP PENINGKATAN LAYANAN HAJI PADA KANTOR KEMENTERIAN AGAMA KABUPATEN SUMBAWA

This study aims to determine the effect of the implementation of the Integrated Hajj Computerized System (SISKOHAT) on the improvement of Hajj services at the Ministry of Religion Office of Sumbawa Regency. This research is quantitative descriptive. The type of data used, namely primary data, was obtained from the results of distributing questionnaires to prospective pilgrims, the general public, and SISKOHAT officers/managers in Sumbawa Regency. The sample in this study were 101 respondents who were prospective pilgrims, 113 respondents who were the general public, and 11 respondents who were SISKOHAT officers/managers. The data analysis method used is simple linear regression analysis which includes data quality test, classical assumption test, and coefficient of determination test. The results showed that the application of SISKOHAT had a positive and significant effect on Hajj services. In addition, the implementation of SISKOHAT has an effect of 82.1% on increasing hajj services for prospective pilgrims, 57.3% for the general public, and 52.6% for SISKOHAT officers/managers. The remaining 17.9% for prospective pilgrims, 42.7% for the general public, and 47.4% for SISKOHAT officers/managers are influenced by other variables not discussed in this study.
DIGITAL CONTENT CONTRACTS AND CONSUMER PROTECTION: STATUS QUO AND WAYS FURTHER

One of the effects of the COVID-19 crisis is the significant acceleration of e-commerce. The number of companies and the varieties of products in the online markets increased, as well as the numbers of consumers and consumers’ segments diversification. The e-commerce in pandemic times offered clear benefits and opportunities for the consumers. It also created situations where the lack of confidence in e-commerce may intensify. This comes from the consumers’ uncertainty on their key contractual rights and it is particularly a case when it comes to the contracts for supply of digital content and digital services. The European Union considered that legal certainty for consumers (and businesses) will increase by full harmonisation of key regulatory issues and that this would lead to growth of the potentials the e-commerce has on the common market. Aiming to achieve a genuine digital single market the Council of the European Union and the European Parliament in May 2019 have adopted the Directive (EU) 2019/770 on certain aspects concerning contracts for the supply of digital content and digital services (the "Digital Content Directive") and the Directive (EU) 2019/771 on certain aspects concerning contracts for the sale of goods (the "Sales of Goods Directive") that regulate the supply of digital content and digital services and sale of goods with digital elements, respectively. Both directives lay down specific rules on the conformity of digital content or a digital service i.e., goods with digital elements with the contract, remedies in the cases of a lack of conformity or a failure to supply, as well as the modalities for the exercise of those remedies. The paper analyses the mechanisms for regulation of the contracts for the supply of digital content and digital services and the specific rights and obligations of the parties to these contracts. The main objective of the research is to assess to which extent these mechanisms are novelty in the European Consumer Law and to examine the obstacles that the application of consumer law to digital content contracts may encounter.