Reviewerly/exHarmony huggingface dataset:
Availability and utilization of e-learning facilities in the teaching of Senior School Physics in Ilorin, Nigeria

The study was intended to examine the utilization as well as the availability of E-learning facilities in the teaching of senior school physics in Ilorin, Nigeria. The study was a survey type and all physics teachers constitute the population. A total of 60 teachers was sampled for the study. Multi-stage sampling technique was adopted in the selection of respondents. Simple random sampling technique was used to select 20 out of 35 secondary schools. Two structured checklists were used to collect data. Percentage and mean were used to answer the research questions while ANOVA was used to test hypotheses at 0.05 level of significance. The finding revealed that printers, photocopying machine, desktop computers, laptop computers, Android phones, electronic typewriters and scanners were available, E-learning facilities were not utilized, there is no significant difference in the utilization of E-learning facilities for teaching physics based on teachers’ qualifications and experience. It was then recommended that physics teachers should be given proper training on how to use as well as maintain E-learning facilities in their various schools in order to equip them with the necessary skills, knowledge and values that will enable them optimize teaching in a fast changing world.
Analisis Pengelompokan Peraturan Kementerian dengan Menggunakan K-Means Clustering

Thousands Ministry Regulations are found in Indonesia shows that it is a big number. These regulations are intended to focus on various fields in order to be upheld in the public interest. It has recently been discovered that the numbers are increasing and some are no longer enforced. Clustering in data mining can be used to find out the focus of problems are often discussed at each ministry. The method that will be used for clustering ministry regulation data is the K-Means algorithm. K-Means is a non-hierarchical data clustering method partitions data into clusters so data that has the same characteristics will be grouped into one cluster and data that has different characteristics will be grouped into another cluster. This research was conducted by conducting data collection, data cleaning, data processing, and visualization of the results. The results of this paper are grouping the best ministerial regulations into four clusters that have an inertia value of 405.142786991133. Cluster 0 is a collection of regulations on the empowerment of children, women, and victims of violence. Cluster 1 is a collection of regulations on environmental policies in both flora and fauna. Cluster 2 is a collection of regulations relating to science and professionalism. Cluster 3 is a collection of regulations relating to the safety of the creative economy in the field of tourism.
Information Disorder Syndrome and Its Management

Many of us may be unknowingly suffering from information disorder syndrome. It is moreprevalent due to the digitized world where the information flows to every individual’s phone,tablet and computer in no time. Information disorder syndrome is the sharing or developing offalse information with or without the intent of harming and they are categorized as misinformation,disinformation and malinformation. The severity of the syndrome is categorized into three grades.Grade 1 is a milder form in which the individual shares false information without the intent ofharming others. Grade 2 is a moderate form in which the individual develops and shares falseinformation with the intent of making money and political gain, but not with the intent of harmingpeople. Grade 3 is a severe form in which the individual develops and shares false informationwith the intent of harming others. The management of this disorder requires the management offalse information, which is rumor surveillance, targeted messaging and community engagement.Repeated sufferers at the Grade 1 level, all sufferers from grade 2 and 3 levels need psycho-socialcounseling and sometimes require strong regulations and enforcement to control such informationdisorder. The most critical intervention is to be mindful of the fact that not all posts in social mediaand news are real, and need to be interpreted carefully.
Prospects for Blockchain Implementation in the Financial Sector

The topic of this article is implementation of blockchain technology in all sectors of the economy, infrastructure, and government system.In recent years, introduction of blockchain was perceived as a revolution in business aimed at making information transfers from one device to another smoother, which significantly reduces the cost: the amount of time, money, human capital etc.Since the launch of blockchain eleven years ago companies, regulators and banks have been actively exploring its potential.The innovation resulted in restructuring of many business processes.The main goal of the research is to analyze the prospects of blockchain development in various elements of economy.Methodologically the research is based on systematic approach.Analysis and synthesis have been used.The article weighs advantages and disadvantages of blockchain and analyzes the prospects for its development.The consensus is that using blockchain in modern economy is essential.We understand that financial community`s future is using information technology for data processing.But blockchain`s weaknesses in terms of protecting personal data are concerning.No centralized operators or administrators are involved in blockchain.The system is managed by all participants peer -topeer, which means that each blockchain member will ultimately be responsible for personal data control and other personal data developers.
Implementasi Data Mining Dalam Memprediksi Jumlah Pinjaman Dengan Algoritma C4.5 Pada Kopdit CU Damai Sejahtera

The development of information technology now allows storing data in a very large time. This development has added to various fields, including credit facilities, so that the use of information technology in public institutions. Data mining is an activity that includes gathering the use of historical data to find the regularity of patterns, or relationships in large data. The process of predicting the number of customer loans so far in the savings and loan cooperatives is still based on looking directly at the loan amount of the customers and seeing the general ledger records in the cooperative. The application of the C4.5 algorithm is a case-solving solution that is often used in problem solving on classification techniques that have characteristics namely by the process of determining the entropy value and gain value from the possibility that each criterion is a reference decision followed by the process of the decision tree
Using Information and Communication Technologies in University Marketing: Local Features

The purpose of the article is to highlight the current local trends in the use of information and communication technologies in University marketing against the backdrop of a rapidly changing economic, political and social situation both in the world and in the field of education.Objectively considering information and communication technologies, it is important to highlight their specifics at different stages of use and with certain competence-based approaches.Improving the educational process is impossible without the development of information and communication technologies.The level of professional competence of the teaching staff and work with new systems, programs, expanding the possibility of distance learning for inclusive students, and other audiences that are remote from universities that need higher education also depend on the process being considered.The use of information and communication technologies is not only a modern way of University development, but also an intensification of its work to attract new audiences.It is an important component of market requirements, opportunities for prospective employment, and the expansion of international and communication ties of each subject who has received higher education.An empirical study of local aspects of the use of information and communication technologies in higher education was conducted on the basis of two universities in Rostov-on-don, as well as in the reference groups of the authors of the article, while the prerogatives in expanding the use of information and communication technologies in local universities were highlighted.The results of the research were discussed and analyzed by the authors of the article among the teaching staff and students of local universities, at webinars and through online discussions.Situational confirmation of the effectiveness or inefficiency of the introduction and use of information and communication technologies in higher education was the period of remote work associated with COVID-19.
Turning Back to Nature: Perspectives of Biosemiotics in a Post-Pandemic Humanity

The paper represents a view on a plausible way of development of scientific methods and methodologies of the humanitarian studies in the post-pandemic society. Starting with the analysis of the current state of “lockdown” and “isolation” in the atmosphere of fear and insecurity, the idea of better understanding the reasons of such a situation is connected with the possibilities of interdisciplinary approach, called “biosemiotics”. In the context of paradigmatic change in the humanities, caused by the interpretative turn of deconstruction of the XX century, today’s situation with COVID-19 is also regarded to be a turning point in the history of post-modern humanity. As it often happens in the periods of change and transformation, the humanity searches for the answers to the questions of ontological character: What do we know about the world today? How our knowing of the world can help us in solving current problems and preventing further disasters? Is human knowledge sufficient to treat global problems? Biosemiotics, as a interdisciplinary scientific project, based on the assumption that life and culture are fundamentally grounded in the semiosis and are subject to biological laws of nature (Hoffmeyer, 2010) can unite a century long divide in scientific tradition of separation Nature and Culture, Body and Mind.
Content-based Image Retrieval Considering Colour Difference Histogram of Image Texture and Edge Orientation

Content-based image retrieval is one of the interesting subjects in image processing and machine vision. In image retrieval systems, the query image is compared with images in the database to retrieve images containing similar content. Image comparison is done using features extracted from the query and database images. In this paper, the features are extracted based on the human visual system. Since the human visual system considers the texture and the edge orientation in images for comparison, the colour difference histogram associated with the image’s texture and edge orientation is extracted as a feature. In this paper, the features are selected using the Shannon entropy criterion. The proposed method is tested using the Corel-5K and Corel-10K databases. The precision and recall criteria were used to evaluate the proposed system. The experimental results show the ability of the proposed system for more accurate retrieval rather than recently content-based image retrieval systems.
Dynamic Scene Change Detection in Video Coding

Video compression has become a source of different research studies. It is necessary in order to address channel bandwidth limitations and growing video demand, including digital libraries and streaming media delivery via the Internet. A video is a number of frames captured by a camera while a scene is a series of consecutive frames captured from a specific narrative viewpoint. To compress a video, firstly, the intra frames are separated from inter frames using scene change detection methods. Then, block-based motion estimation algorithms are used to eliminate the temporal redundancy between successive frames. This paper describes some scene change detection methods for use on the uncompressed video to detect scene types such as cut, dissolve, wipe, etc. Absolute Frame Difference (AFD), Mean Absolute Frame Differences (MAFD), Mean Histogram Absolute Frame Difference (MHAFD), and Maximum Gradient Value (MGV) techniques are adaptively tested on different video types to identify accurate scene change in both low and high object motion scenes. Test results show that the proposed approach (MHAFD) obtains a better accuracy, F1-scor measure of 100%, especially for cuts and gradual transitions (wipe) video types. Dissolve scene change is detected with a high precision of 100% (i.e., no false detection) with the (MAFD) detector. Besides, in terms of time complexity for analyzing all the video samples, the proposed method (MHAFD ) provides the best result compared to the selected detectors.
The role of features in Chinese character recognition

Chinese characters contain three levels of visual information: strokes, radicals, and structures.Stroke, as the basic unit of Chinese characters, is the foundation of the formation of Chinese characters.Some research has shown that strokes can enhance the semantic and orthographic representation in the process of Chinese character acquisition.This shows that the processing of Chinese characters is based on feature processing.This is consistent with the feature processing theory of letter and object recognition.Recent research on visual recognition shows that the recognition of letters and words is based on the termination and the other features (vertices and midsegment) used in object recognition.In this study, we used delayed segment technique on Chinese character recognition to examine the importance of terminations, vertices and midsegment in different masking degree.Experiment 1 selected about 43 high frequency Chinese characters with left-right structures and asked the participants to naming Chinese characters.In experiment 1, we try to examine the importance of terminations, vertices and midsegments based on line unit and consider the degree of masking these features.It was found that the main effect of masking degree was significant.The masking of 35% and 55% of the features makes the RTs significantly longer.The main effect of feature type was significant.Masking vertices and midsegment can make RTs significantly longer.But termination didn't show its feature effect in experiment 1.When masking these three features (vertices, midsegment and termination) in experiment 1, the features are based on line units, which may destroy the integrity of strokes in Chinese characters.That termination effects couldn't be obvious in experiment 1 may be caused by this reason.To verify this, in experiment 2, we explore the vertices, midsegment and termination based on stroke units.The results show that the main effect of masking degree was significant, and the RTs were longer by masking 35% and 55% degree.The main effect of feature types was significant.RTs on character recognition are significantly longer by masking the vertices, midsegment and
Classification and Prediction of Opinion Mining in Social Networks Data

opinion mining in social networks data considers one of the most significant and challenging tasks in our days due to the huge number of information that distributed each day. We can profit from these opinions by utilizing two significant procedures (classification and prediction). Although there is many researchers’ work at this point, it still needs improvement. Therefore, in this paper, we present a method to improve the accuracy of both processes. The improvement is done through cleaning the data set by converting all words to lower case, removing usernames, mentions, links, repeated characters, numbers, delete more than two spaces between words, empty tweets, punctuations and stop words, and converting all words like “isn't” to “is not”. we using both unigrams and bigrams as features. Our data set contains the user's feelings about distributed products, tweets labeled positive or negative, and each product rate from one to five. We implemented this work using different supervised machine learning algorithms like Naive Bayes, Support Vector Machine and MaxEntropy for the classification process, and Random Forest Regression, Logistic Regression, and Support Vector Regression for the prediction process. At last, we have accuracy in both processes better than existing works. In classification, we achieved an accuracy of 90% and in the prediction process, Support Vector Regression model is able to predict future product rate with a Mean Squared Error (MSE) of 0.4122, Logistic Regression model is able to predict with MSE of 0.4986 and Random Forest Regression model able to predict with MSE of 0.4770.
Artificial system architecture adjustment method based on multi-living agent

In complex dynamic social environments with strong constraints and confrontation, a solidified artificial system architecture often cannot meet complex and varied service task requirements. This paper proposes an artificial system architecture adjustment method based on the multi-living agent (MLA) theroy by enhancing the administrators management and control functions, that is, by replacing the primary multi-living agent or adding new multi-living agents. In this way, the self-organizing mechanism of the artificial system is changed and the principal and subordinate position of the opposite contradiction is changed. The livelihood degree of the system function is maintained or improved and the system function is realized. Specifically, in this paper we briefly review the MLA theory and then present the proposed artificial system architecture adjustment method. In the end, the effectiveness of the proposed method is verified by the air defense system against P2V-7 reconnaissance aircraft.
Bow camber and mass distribution: violinist’s preferences and sound descriptors

Violin’s bows are made of Pernambuco wood. However, trade in this wood is now restricted, leading to new research on bow design for understanding and maintaining bow performance. For now, existing ...
Application effect of mixed reality in the teaching of hepatobiliary surgery

ObjectiveTo explore the application effect of mixed reality technology in the teaching of hepatobiliary surgery.MethodsA total of 120 professional postgraduates majored in surgery who had received the four-month standardized training of residents in hepatobiliary surgery department of the First Affiliated Hospital of Army Military Medical University and the First Affiliated Hospital of Chongqing Medical University during 2016-2018 were selected and were equally allocated into the control group and the research group via random number table method. Students in the control group were trained with traditional surgical teaching mode and in the research group were trained with three-dimensional visualization model which was constructed by mixed reality. Students in both groups received assessment and questionnaires at the end of training.ResultsScores of theoretical examination and surgical operation assessment of students in the research group were higher than those in the control group (P<0.05). The error rate for separating gallbladder artery and bile duct in the laparoscopic simulated system of students in the research group was significantly lower than that in the control group (P<0.05). Students-teacher satisfaction degree in the research group was higher than that in the control group (P<0.05).ConclusionUsing mixed reality technology to construct a three-dimensional visualization model and to implement hepatobiliary surgery teaching enables the trainees to better master anatomical key points in the hepatobiliary system and the hepatobiliary surgical approach, with good feedback.Key words: Kirkpatrick model; Mixed reality; Three-dimensional visualization model
The Educational Use of the ‘Harry Potter: Wizards Unite’ Augmented Reality Application

After the great success of the augmented reality game Pokémon GO, the same company (Niantic, Inc) has recently launched a new game based on another media saga. This game is called ‘Harry Potter: Wizards Unite’, and it is a location-based augmented reality game inspired by J. K. Rowling’s wizarding world and the Harry Potter franchise. Players are able to actively explore real-world surroundings to unravel a global mystery, cast spells and encounter fantastic beasts and iconic characters along the way. But how could ‘Harry Potter: Wizards Unite’ be applied in the educational system? In this chapter, we address the possible impact of the creation of augmented reality on those players within the educational framework, as well as some practical proposals for its adaptation and possibilities as a didactical tool.
Perceiving Leading Information and Telecommunication Technologies in the Criminal Proceedings: A Problem Statement

This paper focuses on the attitude of the parties to a criminal proceeding to digitalization and active introduction of technologies in a criminal process.The purpose of the study is to actualize attention to the problems connected with the perception of information and telecommunication technologies in criminal proceedings and the need for carrying out interdisciplinary studies, including those related to the investigation of the psychophysiological aspect.Allegedly, the widespread use of electronic documents, the introduction of remote forms of carrying out procedural actions, the use of digital evidence is aimed at the creation of modern and acceptable legal proceeding.At the same time, we need to form an understanding of the need for changes in the legal system and expectations of the positive effect of digitalization in general in the minds of citizens.The article justifies the need for developing adaptive measures which will allow people to maintain the sense of security and justice of the court.Otherwise, adverse consequences of introducing information technologies in criminal proceedings are inevitable.
System of Information Feedback on Archive Using Term Frequency-Inverse Document Frequency and Vector Space Model Methods

The archive is one of the examples of documents that important. Archives are stored systematically with a view to helping and simplifying the storage and retrieval of the archive. In the information retrieval (Information retrieval) the process of retrieving relevant documents and not retrieving documents that are not relevant. To retrieve the relevant documents, a method is needed. Using the Term Frequency-Inverse Document and Vector Space Model methods can find relevant documents according to the level of closeness or similarity, in addition to applying the Nazief-Adriani stemming algorithm can improve information retrieval performance by transforming words in a document or text to the basic word form. then the system indexes the document to simplify and speed up the search process. Relevance is determined by calculating the similarity values between existing documents by querying and represented in certain forms. The documents obtained, then the system sort by the level of relevance to the query.