Reviewerly/exHarmony huggingface dataset:
Expert System for Diagnosing Early Symptoms of COVID-19 Using the Certainty Factor Method

Coronavirus Disease 2019 (Covid-19) is a pathogenic virus that is the main cause of respiratory tract diseases that can cause respiratory problems such as lung infections and can cause death. Based on data from the health department, the city of Tangerang said that the level of transmission of Covid-19 in the Tangerang Raya area was included in the red zone category, where the spread of Covid-19 averaged 130 additional cases per day. The main problem found is the difficulty of detecting early symptoms that arise as an indication of being infected with Covid-19 and tools to assist in detecting early symptoms felt by the general public. In this study, a rule-based knowledge representation process for the initial clinical symptoms of Covid-19 infection was carried out using an expert system with the certainty factor method, which aims to measure the level of certainty that has been confirmed by Covid-19 against the initial clinical symptoms felt by the user and makes it easier for users to detect the early symptoms of Covid-19 and helps the government, in this case, the health service center through the availability of the expert system application. Based on the results and discussions that have been carried out in this study, it can be concluded that the results of experiments to detect early clinical symptoms that were implemented using an expert system with the certainty factor method showed empirical calculations in the range of 81-85% confidence level on the results given by the system in initial clinical symptoms entered by the user. The results of the research above were obtained through a process of validating the suitability of initial clinical symptoms to the level of Covid-19 infection by using the forward chaining method and then measuring the level of confidence in the results that have been given based on the established rules. The expert system application with the proposed certainty factor method is the basis for developing mobile-based applications that can be used easily for the wider community
An Algorithm Tool for Atom Decomposition and Interaction: AD Visualiser

With the rapid development of software-defined network and network function virtualization technology, the scale of infrastructure and the number of available resources in cloud platforms continue to grow. It is also be used in AD Visualiser. AD is a visualisation tool for displaying the atomic decomposition (AD) of OWL ontologies. As the size of ontologies increases, ontology engineers become more difficult to understand and reuse ontologies. Atomic decomposition (AD) is a modular structure to help ontology engineers modularly manage ontologies. It decomposes ontologies into sets of atoms, with dependency, based on modules that provide strong logical guarantees (such as locality-based modules). This paper describes the design and implementation process of AD Visualiser and discusses its usability for ontology engineers in their daily work. For example, using AD Visualiser, ontology engineers avoid choosing signatures and determining the extraction results. They can extract modules very simply and faster. Besides, the graph of AD’s modular structure should be helpful for engineers to intuitively explore and comprehend ontologies.
The impact of Boko haram insurgency on social orientation and academic performance of secondary school students in Potiskum Local Government

The study was designed to investigate the Impact of Boko Haram Insurgency on Social Orientation and Academic Performance of Secondary School Students in Potiskum Local Government. The three major objectives that guided the study were to evaluate the number and rate of students’ dropout due to the Boko Haram insurgent, to investigate the rate of students’ enrolment in secondary school and to Evaluate Teachers performance during book haram insurgent. The study employed descriptive survey research design and the instrument used for data collection was a structured questionnaire developed in consonance with the review of available literature on the study under investigation. The data collected from the questionnaire items were analyzed using mean and standard deviation to answer the research questions while t-test was used to test the null hypothesis of the study at 0.05 level of significance. Decision for accepting or rejecting an item or group of items was based on cut-off point of 2.50. Based on research question one, the finding of the study revealed that crises has all effect on school attendance of both the teachers and students, destruction of available facilities of the schools influence the well-being of students in classroom; loss of teachers due to the crisis in the area influences the well-being of student in classroom, damaging school infrastructure can grossly reduce the availability of access to education which reduces performance, insurgents suicide bombings at school as a tactics which in turn reduce school population and affect the academic performance of students, destruction of available school facilities by insurgents leaves the educational system in a dire situation, insecurity in the state insurgents have leads to the deaths of many students, killing and abduction of students by the has been traumatic for students as they are forced to flee their homes in fear. The attack by the insurgents include fear and reduce academic performance and violence can affect attendance and learning cannot successfully occurs in an environment of fear and some of the influences of schools as insecurity constitutes a negative reinforcement due to the obvious fact that Boko Haram insurgents consequently, developed threat on social well-being of students in secondary schools Potiskum local government area of Yobe State.
OpenRefine: An Approachable Open Tool to Clean Research Data

This review provides an overview of data cleaning tools and discusses why and how OpenRefine has been an effective tool in the delivery of one-shot instructional sessions on data cleaning in an academic library context.
The DIVEnet: a local seismographic network monitoring the lower continental crust drillings for the ICDP-DIVE project

&amp;lt;p&amp;gt;&amp;lt;span&amp;gt;The ICDP DIVE project (www.dive2ivrea.org) is aimed at addressing fundamental questions on the nature of the lower continental crust and its transition to the mantle, in a first phase through two drillings in the Ivrea Verbano zone (IVZ). The IVZ, considered the world's best outcrop of lower crustal continental rocks, is the exposed part of the Ivrea Geophysical Body (IGB), a major high gravity and high seismic velocity anomaly studied since the 1960s and strongly related to Western Alps structural and tectonic history. Beneath the IVZ the Moho possibly reaches very shallow depth (locally ~1&amp;amp;#177;1 km b.s.l.), making this site unique all over the World.&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;lt;span&amp;gt;The two proposed drillings will start in the 2022 in Val D&amp;amp;#8217;Ossola: the first in Ornavasso and the second in Megolo, 7 km apart from each other. The assemblage of the two will constitute the most complete record of lower continental crust. Physical and chemical data systematically collected downhole as well as along drill cores will be combined and compared with local/regional geophysical and geological surveys. Within this frame and scope, a dedicated seismographic network named DIVEnet has been planned to monitor local earthquakes and operation-related seismic activity.&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;lt;span&amp;gt;Starting from summer 2021 the survey and seismic station deployment started to have all stations running by January 2022. So far 10 seismographic stations provided by INGV and University of Lausanne have been installed within a 15 km maximum distance from the mid-point between the two drilling sites and recording in continuous mode (100 sps). One of the seismometers will be housed in the first completed borehole while the second one is being drilled. Given that the area is characterized by low natural local seismicity and low seismic stations density, having a long time record of background activity and background noise, including the period before and after the drilling activities&amp;amp;#8217; initiation, is of crucial importance. The acquisition and first elaboration of seismic data have been actively included in the routine work at INGV.&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;
DEVELOPMENT OF AN INTERDISCIPLINARY DATA ACQUISITION AND CONTROL LABORATORY

This paper describes the development of a new Data Acquisition and Control Laboratory that offers several capabilities, including internet-based experimentation, process variable measurements and analysis, control system modeling and design, signal and image processing, and sensor technology applications.This paper presents the major components of the laboratory, discusses the interdisciplinary activities, and describes the experiments used in a recently taught course.
Towards Efficient Stream Parallelism for Embedded Devices

Stream processing applications process raw data-flows to reveal insightful information. Efficiently coordinating the requirements of these applications is a challenge. We propose investigating high-level software solutions for these applications to achieve efficiency and high performance for embedded devices.
Retraction Note: Blockchain-based intelligent contract for factoring business in supply chains

The Authors have retracted this article because it contains overlap with a previous paper by Aiming and Yunfeng.
Physical Training Courses of Mine Rescue Crew in Different Age

To scientifically formulate physical training plans and assessment standards for mine emergency rescue teams. This study adopts research methods including literature method, expert interview method, and field investigation method and takes the physical training course of the National Mine Rescue Team Kailuan Team as the research object. The problems, curriculum objectives, assessment standards and the courses contents of the physical training of the mine emergency rescue team has been researched, and physical training curriculum systems for different age groups have been proposed through this study. The results suggest that the theoretical knowledge of the basic-level physical fitness instructors (commanders) needs to be improved, the training methods are single, and the ambulance team members are not trained by age. The new curriculum goals are supposed to takes into account the physical features of rescue team members of different ages; the assessment standards should enable the evaluation indicators of rescue teams in training to be scientific to meet the diverse needs of rescuers; based on the existing curriculum reform practice, it is believed that the physical training system of the rescue team must be improved. The structure and content of the physical training courses of the segmented rescue team enable the comprehensive development of the rescue team’s physical fitness and provide reference for the more scientific and reasonable training of the different emergency rescue team.
Index System Construction and Model Analysis of University Teachers’ Data Literacy Ability

The research on the index system construction and model analysis of data literacy ability of university teachers has influenced the development of academic field, and the rapid development of information digitization technology has brought about a torrent of data. University teachers’ life, work and learning are profoundly affected by the big data environment, and the level of data literacy of university teachers will play a vital role in the development of information society. On this basis, the index system of teachers’ data literacy is introduced. The effectiveness of the data literacy model of university teachers will become an important index. According to the analysis results, the fuzzy comprehensive evaluation method is used to determine the index weight of teachers’ data literacy ability and the hierarchical model is established to analyze it. The scale of the ability index is calculated, and the weight of the teacher’s data literacy index is determined. The experimental results show that the proposed method is accurate and effective.
Identifying a Gap in the Project Management Approach of the Online Program Management and University Partnership Business Model

As the number of online courses increase in higher education, many higher education institutions outsource online course development to an Online Program Management (OPM) provider because of a lack of budget, staff, and technology. Current research indicates that OPM providers often do not have instructional design (ID) services tailored to a specific university. This research uses a case study to analyze a business partnership between a research university and an OPM provider. The Activity Theory conceptual framework was used to direct inquiry and analysis. Results show a miss of the “Empathize” (first stage of Design Thinking) phase in the project management approach from the OPM provider side, which made the process appear more like a start-up company and caused some faculty to lose motivation about the instructional design process. A complete Design Thinking approach from the OPM provider and the university partner are very important to reap the most benefits from this relationship.
The L1 Semantic Retrieval of L2 Words: Evidence from Advanced L2 Learners’ Reaction Times

According to the first language (L1) lemma mediation hypothesis, second language learners, regardless of their level of second language (L2) proficiency, access the meaning of L2 words via their first language (Jiang, 2004). To test this hypothesis, a semantic judgment task was conducted on 30 advanced Arab speakers of English, in which they were presented with 86 pairs of English words and had to decide whether each pair was semantically related. Some semantically related pairs are classified as same translation pairs because their members share the same L1 translation, whereas others are semantically related but do not share the same L1 translation, hence they are classified as different translation pairs. Two instruments were used to record the reaction times and determine accuracy: DMDX and Gorilla. The results revealed that the highly proficient L2 speakers rated same translation pairs as semantically related significantly faster than their responses to different translation pairs. When compared with the 28 native speakers’ results, there was a significant difference in the reaction times of the two groups. This provides evidence that the underlying processes of L1 and L2 vocabulary acquisition is substantially different: L2 learners rely on their well-established conceptual system to access the meaning of L2 words.
Reputation-Based Sharding Consensus Model in Information-Centric Networking

The various integration systems of blockchain and information-centric network (ICN) have been applied to provide a trusted and neutral approach to cope with large-scale content distribution in IoT, AR/VR, or 5G/6G scenarios. As a result, the scalability problem of blockchain has been an increasing concern for researchers. The sharding mechanism is recognized as a promising approach to address this challenge. However, there are still many problems in the existing schemes. Firstly, real-time processing speed trades off security of validation. Secondly, simply randomly assigning nodes to the shards may make nodes located very far from each other, which increases the block propagation time and reduces the efficiency advantage brought by the sharding mechanism. Therefore, we optimize a reputation-based sharding consensus model by multi-dimension trust and leverage the affinity propagation (AP) algorithm for gathering consensus nodes into shards. Given the minimal possibility to be at fault in the security of validation, clients can achieve real-time processing speed with assurance. The evaluation results show that the normalized mean square error (NMSE) between the estimated reputation value and the real reputation value of our reputation scheme is less than 0.02. Meanwhile, compared with the classical sharding scheme Omniledger, TPS performance can achieve 1.4 times promotion in the case of a large-scale blockchain network of 1000 nodes.
Pengaruh Penggunaan Fotografi Dalam Poster Film 5 cm Terhadap Minat Penonton

Influence Of Photography In 5 Cm Film Poster OnThe Interest Of The Audience.Today, posters are one of the information media that are widely used as promotional media, message providers, and propaganda tools.Reflecting on its history, posters have also become a communicative medium for the community.Not for artists and filmmakers who use posters as a tool to promote their film works.The use of photography in it also becomes an important element that cannot be missed.Where this can be a key factor in the success of delivering the message of a poster, especially film promotion posters.This study aims to examine how the influence of the use of photography in 5 cm film posters on viewing interest and public curiosity using the Likert method and get the results that the use of photography in film posters has a positive effect on audience interest.
A STUDY ON THE ABILITY IN USING PREDICATIVE VERBS IN SIMPLE PAST TENSE OF THE SECOND YEAR STUDENTS OF SMPN 3 TAPUNG

Vocabulary plays the most important part in learning a foreign language especially in the early stage of elementary school. Without knowing the vocabulary,students will not be able in the four language skills, such as speaking, reading,listening and writing. The students’ lack of vocabulary make students cannotcommunicate their ideas as clearly as they would have to. The fifth year students havedifficulty to follow English learning if they do not have enough English vocabulary.According to guideline of English teaching, elementary students should master 500words. Students are not able to construct, even, a simple sentence consisting ofsubject and predicate. Students are also not be able to pronounce a word correctly,they pronounce a word based on what they see. According to the writer’s observationin the classroom, while teacher explains the lesson, the students prefer to dosomething else such as drawing, writing and talking to their partner. To use minimalpair exercises as vocabulary development, the writer represented the words in eachminimal pairs to teach or reinforce the meaning of vocabulary while practicing thepronunciation of the words. Students can also put the words in meaningful contextsentences. The result of the research shows the students’ improvement after usingminimal pairs.
Implementation of Vocational Education Standards in the Context of Postmodern Trends

Our research involves the study of vocational education in the context of postmodern trends in society. We analyzed how postmodern manifestations of the 21st century have affected vocational education standards. The main theoretical and methodological approaches to the formation of postmodernism and the process of formation of standards of vocational education were studied. Based on the results of the research, the main approach to the basics and basic trends in the formation of standards of vocational education was established. Education as a process is relevant throughout historical development, because everyone understands his importance in society, realizes his responsibility to him since the early days of man needs new knowledge to continue living. The formation of the process of professional education itself begins several centuries ago, which confirms the maturation of man in social development. The period of postmodernism in the educational process is marked by globalization and the integration of society. This trend requires continuous professional growth. The worker in the conditions of postmodernism must be able to quickly change their skills, adapt to new challenges that may constantly evolve due to the rapid development of information technology. In the course of our research the integration method of synthesis of figurative structure, and the analysis, the characteristic of pedagogical activity at the formation of professional education is used. There are methods of synthesis, analysis, and interpretation of postmodernism in educational development. The results of the research confirm the postmodern trends in the formation of vocational education.
An Email Spam Filtering Model Using Ensemble of Machine Learning Techniques

The growth of spam emails is on the increase responsible for larger portions of the global email traffics. Aside the annoyance and the time wasted sifting through the unwanted messages; spam emails can also cause immeasurable harms through malicious software capable of damaging systems and compromising confidential information. The risks of filtering spam emails is that sometimes, legitimate mails are marked as spam, yet the results of not filtering spam are the constant flood of spam clogs on networks that adversely impacts users inboxes while draining valuable resources on the networks such as bandwidth and storage capacity, productivity loss and interfere with the expedient delivery of legitimate emails. Several researchers had worked on the design of models for spam email filtering using different techniques, however the detection accuracy of these models have also become subject of discussions. This study developed spam email filtering model using Ensemble of Decision Tree, Support Vector Machine and Multilayer Perceptron (DT-SVM-MLP) technique as a solution approach to solving issues of low spam emails detection accuracy. The ensemble model was trained using forward propagation training technique and the performance was evaluated using five performance metrics of Accuracy, False Positive (FP) Rate, Precision, Recall and F-Measure.
Investigating Mediational Process in Online Foreign Language Learning

Faced with Covid-19 pandemic, the higher learning institutions across the planet continue to conduct classes for students via online learning.Educators impart knowledge using the latest technology at their disposition.These educators have to ensure that the online classes are engaging will lead to new understanding.Online classes can be stressful for some students and less motivating for others.It is crucial to identify the ideal online learning setting for foreign language learning as it can encourage students to actively participate in class.This quantitative research is conducted to investigate meditational process in online foreign language learning classes.The instrument used is a survey adapted from Arbaugh, Cleveland-Innes, Diaz, Ice, Richardson & Swan (2008).The survey consists of 34 items, is given to 163 bachelor degree students taking French as a third language in a public university in Malaysia..The data is collected online via the Google Form and it is then analyzed using SPSS.The analysis from the data collected shows that teaching presence has the highest sum of mean, followed by cognitive presence and social presence.For teacher presence, the findings reveal that the instructors communicate the course design and its organization to the students clearly.In addition, the study shows that the instructors facilitate the learning process and give feedback to the students in a timely manner.For cognitive presence, the findings reveal that students could integrate new information to answer questions, use learning activities to construct explanations and use reflections and discussions to understand fundamental concepts in online classes.As for social presence, it is discovered through this study that it has the lowest sum of mean, especially regarding group cohesion.Therefore a future research focusing on how to improve group cohesion would be interesting and beneficial for the betterment of online foreign language learning classes.