Reviewerly/exHarmony huggingface dataset:
Selective Image Segmentation Models Using Three Distance Functions

Image segmentation can be defined as partitioning an image that contains multiple segments of meaningful parts for further processing. Global segmentation is concerned with segmenting the whole object of an observed image. Meanwhile, the selective segmentation model is concerned with segmenting a specific object required to be extracted. The Convex Distance Selective Segmentation (CDSS) model, which uses the Euclidean distance function as the fitting term, was proposed in 2015. However, the Euclidean distance function takes time to compute. This paper proposes the reformulation of the CDSS minimization problem by changing the fitting term with three popular distance functions, namely Chessboard, City Block, and Quasi-Euclidean. The proposed models are CDSSNEW1, CDSSNEW2, and CDSSNEW3, which apply the Chessboard, City Block, and Quasi-Euclidean distance functions respectively. In this study, the Euler-Lagrange (EL) equations of the proposed models were derived and solved using the Additive Operator Splitting method. Then, MATLAB coding was developed to implement the proposed models. The accuracy of the segmented image was evaluated using the Jaccard (JSC) and Dice Similarity Coefficients (DSC). The execution time was recorded to measure the efficiency of the models. Numerical results showed that the proposed CDSSNEW1 model based on the Chessboard distance function could segment the specific object successfully for all grayscale images with the fastest execution time compared to other models.
An Innovative Approach in Electronic Voting System Based on Fingerprint and Visual Semagram

An election is a formal procedure through which a group of individuals decides on an individual or multiple individual to be in a position of authority using mechanical, paper-based and electronic methods.Despite the measures to secure the voting systems from fraudulent activities among corrupt politicians and election officers, attackers have been compromising the security measures thereby, providing illegitimate opportunities for unwanted contestants to win elections.This research was on the development of an electronic voting system using fingerprint and visual semagram techniques.The proposed e-voting model had six modules for effectiveness in the e-voting system.It was implemented using Java in Android Studio and C-Sharp (C#) in Microsoft Visual Studio, and was tested in an official deanship election of five faculties in a tertiary institution.Every illegible staff was enrolled and presented with a voter identification number (VIN) card.The voter's fingerprint and VIN were the fundamental credentials required for authentication and to poll a legitimate vote to a preferred contestant at a designated polling centre.The sensitive results were firstly encrypted and secondly concealed in an image to produce "Vimago" using the visual semagram technique.The "Vimago" was subjected to steganalysis and concealed results were not detected.An Equal Error Rate of 0.0019, a sensitivity of 0.9962 and an accuracy of 99.81% were obtained from the experiment.Based on the experimental results, the proposed e-voting model is highly recommended for use by various electoral commissions for voting and security agencies for the dissemination of sensitive information through the public network, the manufacturers of electronic voting machines are hereby offered a model for use in the development and securing of a fingerprint-based platform for a voting system were made among other recommendations.
SURVEY PAPER ON THE VARIOUS SECURITY ALGORITHMS USED FOR E-COMMERCE SECURITY

Due to the growth of e-commerce, most of the banking transactions are made on the online platform and all these transactions are made on the websites provided by the merchant or the payable apps and because of this the vulnerability of attacks has increased and there are also chances of using fraudulent websites and apps by the attackers though there are many high-security algorithms are been used for safeguarding against vulnerabilities. The way of judging the relation of trust on the online platform has become a major issue, so a proper trust model also needs to be maintained. In this paper, we reviewed various security algorithms which involve cryptographic algorithms, machine learning, anonymization, and masking techniques, blockchain, distributed networks, and many more to provide integrity, privacy, reliability, authentication, security, and risk-less e-commerce platform.
Penerapan Project Based Learning Menggunakan Microblogging Edmodo untuk Meningkatkan Prestasi Belajar Siswa Pada Pembelajaran Matematika

Abstract The purpose of this study was to determine the effectiveness of using a project-based learning model using Edmodo microblogging in improving student achievement in mathematics learning. This study uses a quantitative approach with a quasi-experimental method. The results showed that the increase in student achievement by using project-based learning using Edmodo in the experimental class was higher than the conventional method in the control class. Student responses amounted to 87.23%. shows that students give a very good/positive response to project-based learning using Edmodo microblogging. Keywords: Edmodo;Project-Based Learning;Student Learning Achievement AbstrakTujuan penelitian ini adalah untuk mengetahui efektivitas penggunaan model pembelajaran project based learning dengan menggunakan microblogging edmudo dalam meningkatkan prestasi belajar siswa pada pembelajaran matematika. Penelitian ini menggunakan pendekatan kuantitatif dengan metode kuasi eksperimen. Hasil penelitian menunjukan peningkatan prestasi belajar siswa dengan menggunakan project based learning menggunakan edmudo pada kelas eksperimen lebih tinggi dibandingkan dengan metode konvensional pada kelas control. Tanggapan siswa sebesar 87.23%. menunjukan bahwa siswa memberikan respon yang sangat baik/positif terhadap project based learning menggunakan microblogging edmudo. Kata Kunci: Edmudo;Prestasi Belajar Siswa;Project Based Learning
New Systematic Solution for Resolving Nonlinear Dynamics Using System Analytical Theory Based on Engineering Science

There are many nonlinear dynamics in field of non-physical sciences, such as the food chain, economic systems, or engineering systems with the characteristics of closed or open-loop systems. The problems arising from this have been resolved by the outdated chaos theory in statistical physics based on the paradigm of logical thinking. However, it was founded by classical physicists, and it is imperfect and vague, moreover, very difficult for others. Therefore, we require a perfect systematic solution based on systems thinking, such as systems analytical methods in engineering science. Surprisingly, in 2021, a non-physicist, on behalf of a physicist, has successfully resolved the problems and achieved a new solution based on systems thinking through interdisciplinary research; moreover, it has been published. Unfortunately, most physicists do not welcome it because they have no experience and it is disadvantageous to them like the Copernican theory. In addition, they have no ability to evaluate the new solution because they do not know the analytic method. Nevertheless, non-physicists are greatly welcome it, thus, there is no problem in it. Hence, non-physicists will verify it using MATLAB or simulator and apply it to all science, on behalf of physicists. If so, non-physicists will have both a logical solution and a systematic solution for resolving nonlinear dynamics.
Strategies for Promoting a Reading Culture Among Secondary School Students in Kiambu County, Kenya

This research looked at reading culture within secondary school students in Kiambu County. It discussed the role that teachers, parents, school librarians and school culture play in the promotion of a reading culture or lack thereof. The specific objectives were; to determine the status of reading culture being promoted by secondary schools and to determine the level of usage of school libraries and their resources to support the development and cultivation of culture of reading among high school learners among secondary school students. This research was based on Lee Vygotsky’s cultural historical theory of cognitive development. The study employed descriptive survey design. The target population was 240 students, 24 teachers and 12 librarians from 12 secondary schools within Kiambu County. This research used stratified random sampling. The data was collected using self-administered questionnaires. Through pretest of the questionnaires and subsequent re-modelling, validity of the findings was enhanced. The data collected was analyzed through the aid of Statistical Package for Social Scientists (SPSS). The analyzed data is displayed using charts, graphs, diagrams, tables, frequency tables, matrices, drawings or block diagrams. A significant portion of students loved reading very much at 31%. The hours spent on reading also varied with students (34%) 3-4 hours a day reading, with 30% others spending more than 4 hours a day. All the institutions featured have libraries. Out of the 208 students, 44% use the library hour to read either in class or the library. 20% of others use the allocated hour for private studies. Most of the students (78%) stated being part of a book club or study group. For instance, the study found that out of the 187 students (78%), a significant proportion (49%) used the groups for academic performance. Others benefited through fluency in language, increased vocabulary, better writing, and reading skills, among other reasons. The study proves the popular notion that Kenya's schools and the country have a poor reading culture. Students are forced into reading either by teachers and parents or pressured by the need to pass exams. As such, the most read materials are school textbooks and novels, which also happen to be the most stocked materials in school libraries. Reading should be a personal initiative as opposed to being forced into it. That being the case, students' opinions matter more on making reading more fun and appealing. Therefore, in addition to the importance of school libraries and reading clubs, schools need to encourage peer motivation to read in an effort to improve reading culture. Some of the study recommendations are that there is a need to include an opinion on academic experts on reading culture, government, and parents who play a significant role in the education sector.
The instrumental function of "augmented reality" in the processes of representation, transmission and construction of knowledge

The paper examines the potential offered by augmented reality in the didactic field, with particular reference to the possibility of creating “augmented” experiences, which make it possible to obtain a high level of interaction with the sources and places that have acted and are acting for conservation and activation of historical memory. The subject of analysis is the psycho-pedagogical value of the information enrichment offered by AR, which allows to support the narrative potential of historical sources through the presentation of documents, interactive objects, 360° videos and 2D and 3D reconstructions. Particular attention is paid to: the possibility of using augmented reality to innovate textbooks and teaching methodologies; the possibility of creating “active” study paths with a high level of interaction and personalization; the recent applications of AR in the museum field; the psycho-pedagogical role of AR in the construction of stories and narratives and the impact that this type of technology can have on the methods of transmission and construction of stories.
Perpustakaan digital berdasarkan perspektif Lucy A. Tedd dan Andrew Large (studi kasus di Perpustakaan Fakultas Teknik UGM Yogyakarta)

Introduction. The objective of this research was to know the digital library based on the perspective of Lucy A. Tedd and Andrew Large in the Library of the Faculty of Engineering UGM Yogyakarta.Data Collection Methods. This research used qualitative method with a type of case study research. Data collection techniques used are observation, interview, and documentation.Data Analysis. The theory used is the perspective of Lucy A. Tedd and Andrew Large. Data analysis in this research used the theory from Milles and Huberman, including data reduction, data display and Conclusion Drawing / Verification.Results dan Discussion. First, the UGM Yogyakarta Faculty of Engineering Library fulfills the information process both from the ability to create, search, and use information, secondly, the fulfillment of the Yogyakarta UGM Faculty of Engineering Library collection which consists of data and metadata that are interconnected both internally and externally, and which third, the fulfillment of integration or relationship between the UGM Yogyakarta Faculty of Engineering Library with other institutions or organizations, namely with the UGM Central Library and with other Faculty Libraries within UGM, but not for libraries / museums / archives / schools / other units outside UGM environment. In this research it is recommended to be able to do a network of cooperation with various institutions or other organizations outside the UGM, it aims to meet the information needs of users in accessing information, where such information is widely available, complete and diverse. In addition it can also improve the quality of provision of library services to library users.Conclusion. The result of this research are the Library of the Faculty of Engineering UGM Yogyakarta is a digital library, this is evidenced by the fulfillment of the three characteristics of digital library based on the perspective of Lucy A. Tedd and Andrew Large
OCR Processing of Swedish Historical Newspapers Using Deep Hybrid CNN–LSTM Networks

Deep CNN-LSTM hybrid neural networks have proven to improve the accuracy of Optical Character Recognition (OCR) models for different languages.In this paper we examine to what extent these networks improve the OCR accuracy rates on Swedish historical newspapers.By experimenting with the open source OCR engine Calamari, we are able to show that mixed deep CNN-LSTM hybrid models outperform previous models on the task of character recognition of Swedish historical newspapers spanning 1818-1848.We achieved an average character accuracy rate (CAR) of 97.43% which is a new state-of-the-art result on 19th century Swedish newspaper text.Our data, code and models are released under CC BY licence.
Mathematics Mobile Blended Learning Development: Student-Oriented High Order Thinking Skill Learning

&lt;p style="text-align:justify"&gt;This study aims to develop a mathematics learning application, namely Android-based mobile learning to increase students' High Order Thinking Skills (HOTs). The result of mathematics learning media is a valid and practical mobile learning application product. "Mastering Math" is the name of a mathematics e-learning application designed as a mobile or smartphone application, with specifications for the OS Android. The procedure for the development of virtual mathematical media used the development of the 4D model of Thiagarajan: (1) define; (2) design; (3) develop, and (4) disseminate. The trials conducted included five expert judgments and a small group. The research instruments used were a validation sheet, a practical assessment sheet by the teacher, a practical assessment sheet by students, and a media effectiveness test instrument. Data analysis was performed using Cochran's Q test for similarity of expert validation and qualitative analysis. The teaching materials used are junior high school teaching materials with validity and practicality in the good category to increase students' HOTs. This research implies that the learning of mathematics is more effective and efficient, students' divergent thinking develops, and their learning motivation for mathematics increases.&lt;/p&gt;
Scoring with Token-based Models

This paper provides a replication of sociolectometric analyses found in Geeraerts, Grondelaers, and Speelman (1999) with the help of distributional semantic modelling.We selected 14 concepts from the lexical field of football in Dutch and Chinese respectively.Instead of manually disambiguating the corpus occurrences, we explored a semi-automatic procedure based on token-based vector space models and cluster analysis.The experiments show that our workflow is efficient for detecting regional lexical variation in large-scale corpora.More specifically, the results revealed that removing semantic clusters whose most central members are tokens referring to other senses rather than the intended concept's sense, does have an impact on the sociolectometric distances.Furthermore, discarding entire clusters has consequences for the total concept frequency.
Augmented Reality: A New Learning Experience among Health Care Professionals

&lt;p&gt;&lt;strong&gt;Background and Objective:&lt;/strong&gt; Augmented Reality (AR) is an effective tool for learning as well as marketing with multilateral interactive communication. It allows brands to give their customers unique experiences with the convenience of tapping into their mobile devices. This study was conducted to assess the perceptions of healthcare professionals (HCPs) to learn through AR and its effectiveness in HCPs&amp;rsquo; engagement and learning experience.&lt;/p&gt;&#x0D; &lt;p&gt;&lt;strong&gt;Methods:&lt;/strong&gt; An interventional study was conducted with HCPs across various tertiary care hospitals in Pakistan from May 2020 till December 2020.&lt;strong&gt; &lt;/strong&gt;An&lt;strong&gt; &lt;/strong&gt;AR based activity was carried out with the HCPs where they used pictures of objects around them to create a message. These were geo-tagged to a question related to hypertension and participants answered each question. Mobile application &amp;ndash; WallaMe was utilized for this activity. At the end of the activity, HCPs were requested to fill a feedback form based on their experience with the AR app. Data was entered and analyzed by using SPSS version 22.&lt;/p&gt;&#x0D; &lt;p&gt;&lt;strong&gt;Results:&lt;/strong&gt; AR stimulated learning &amp;nbsp;gives the participants an overall exciting (80%), captivating (81%), and fruitful learning experience (82%). AR for marketing campaign was more effective for Brand Recall with paper based campaign for 82.8% and more effective than digital campaign for 85.6% participants. AR was recommended by 80% participants for learning and brand recall.&lt;/p&gt;&#x0D; &lt;p&gt;&lt;strong&gt;Conclusion:&lt;/strong&gt; AR is a useful tool to enhance user experience for learning as well as improves brand recall and can be used for marketing campaigns.&lt;/p&gt;
METHODOLOGICAL SUPPORT OF PROFESSIONAL DEVELOPMENT OF TEACHERS OF PRESCHOOL EDUCATION INSTITUTIONS: PSYCHOLOGICAL AND PEDAGOGICAL FOUNDATIONS

With the help of encyclopedias, dictionaries, reference books the article reveals the definitive characteristics of such basic research concepts as: methodological assistance, methodological work and methodological support. Based on the development of psychological and pedagogical research, the concepts of methodological work and methodological support are analyzed and differentiated. The domestic regulatory documents are cited, which reflect the issues of methodological support for the teachers. The elaborations of the main directions and forms of methodical work with teachers (mass, group and individual) are presented, the classification of principles and functions of methodical support is given. The list of interactive forms of methodological support for preschool teachers and their impact on improving methodological support for teachers is outlined. The concept of the professional development of teachers, components of professional development, their essence and structure are highlighted, as well as ways of influencе of the methodological support on its improvement are outlined. The article, based on reputable modern researchers and practitioners, defines the directions, features and psychological and pedagogical conditions for providing methodological support for the professional development of teachers of preschool education institutions. The problems of implementing methodological support for teachers in preschool institutions are listed and analyzed, as well as prospects for improving its effectiveness are outlined.
Adopting Technology Environment Organization Framework in Virtual Learning through Cloud Computing of Higher Education Institution

Purpose–This study intends to adopt the Technology Environment Organization framework in virtual learning through cloud computing in a higher education institution that will streamline the operation of education. Method–A systematic review using descriptive research was presented highlighting the model of the TEOframework in adopting cloud-based computing implementation in the educational system of the HEIs. The study features the critical success factor affecting cloud computing implementation which can be a key point as guidelines and step to embrace technological advancement in the field of education in the Philippines.Results–The study is appeared to contribute to the organization of higher education institutions in the Philippines to make informed decisions relevant to the advancement of cloud technology service selection and deployment processes. The migration of cloud computing implementation in developing countries is proven successful in achieving the benefits of reducing IT cost, scalability, business continuity, collaboration efficiency, easy management and access, complexity, and compatibility. Thus, the Philippines is admissible to a strategic implementation to widen and improve adopting cloud services. Conclusion–Adoption of cloud computing in higher education institutions is an alternative solution in streamlining and managing the educational system infrastructure. Recommendation–Considering the critical success factor affecting cloud computing implementation the TEO framework is a strategic approach to embrace technological advancement in the Philippines.Practical Implication–The use of cloud computing in the virtual learning of the HEIs has been proven effective in the educational operation considering the critical success factor with the Technology Environment and Organization methods. This alignswith new educational system development in improving the infrastructure of the learning platform of the HEIs into more advance and accessible features of the learning delivery through its stakeholders.
BERT-PersNER: a New Model for Persian Named Entity Recognition

Named entity recognition (NER) is one of the major tasks in natural language processing.A named entity is often a word or expression that bears a valuable piece of information, which can be effectively employed by some major NLP tasks such as machine translation, question answering, and text summarization.In this paper, we introduce a new model called BERT-PersNER (BERT based Persian Named Entity Recognizer), in which we have applied transfer learning and active learning approaches to NER in Persian, which is regarded as a low-resource language.Like many others, we have used Conditional Random Field for tag decoding in our proposed architecture.BERT-PersNER has outperformed two available studies in Persian NER, in most cases of our experiments using the supervised learning approach on two Persian datasets called Arman and Peyma.Besides, as the very first effort to try active learning in the Persian NER, using only 30% of Arman and 20% of Peyma, we respectively achieved 92.15%, and 92.41% performance of the mentioned supervised learning experiments.