Reviewerly/exHarmony huggingface dataset:
CNN-BiLSTM-based Learnable Viterbi Signal Detection without Channel State Information

Due to the huge cost of acquiring the channel model and its parameters in the field of communication signal detection, the application of model-based algorithms are limited when the channel knowledge is unknown. At the same time, pure data-driven deep learning methods require a lot of training and are unexplainable. We propose a joint data and model-driven learnable Viterbi signal detection method based on convolutional neural network (CNN) and bidirectional long short-term memory (BiLSTM), which can realize the signal detection of Viterbi algorithm in channel-free model scenarios. We learn the channel-unknown state on which traditional model-based methods rely, via a trained CNN-BiLSTM neural network and either parametric estimation (i.e. Gaussian mixture model with Akaike information criterion) or nonparametric estimation (i.e. adaptive kernel density). The simulation results show that proposed method can still guarantee the accuracy of signal detection without considering channel state information (CSI), in addition, different from the traditional Viterbi detection, the method has higher robustness to CSI uncertainty.
MAPPING THE MAIN CHARACTERISTICS OF EXCELLENT TEACHERS: A PHENOMENOLOGICAL STUDY

Teaching is a crucial component of any sensible approach to ensuring quality education. However, there is no adequate, integrated perspective on the core qualities that make for excellence in teaching. Our study seeks to discover people who are examples of excellence in teaching in order to determine a set of excellence-associated characteristics. The participants of the present study were primary school teachers (n=11) from Romania. By making use of a qualitative inquiry, data was collected through semi-structured interviews and observations of school lessons. The key findings suggest that there is no single template for excellence in teaching. According to the data, there are three key aspects that can be attributed to excellent teaching: a passion for teaching, authentic relationships with students, and critical reflection. Recommendations for sustaining high-quality teaching are discussed.
A ROADMAP OF REGULATORY INTERVENTIONS TO SCALE UP THE MODEL OF INSTITUTIONAL PARTNERSHIP OF EDUCATIONAL SERVICE PROVIDERS IN ORDER TO INCREASE THE RESILIENCE OF LOCAL/REGIONAL SOCIO-ECONOMIC DEVELOPMENT

The priority direction of the current stage of social and economic development of the regions is active support for the development of education. The formation basis of approaches to solving the problems of economic transformations of the region is the paradigm of sustainable development, which provides for a dynamic process of successive positive changes. These changes ensure the balance of economic, social and ecological aspects of the development of regions. The resilience of the region is a factor of social and economic well-being and is determined by the features of management methods combined with effective management of resources, including human resources. Social mechanisms, rules, and values of people determine economic practices specific to regions. Education is a key aspect of ensuring regional development, and the institutional partnership of educational service providers is a key aspect of change. The comprehensive mechanism of strengthening the influence of education on the processes of ensuring the resilience of the region becomes the promotion of the transformation of everyday practices, the way of life of people, educational organizations and structures, and the community in general. The article notes that the openness of the education sphere to broad social influence contributes to the strengthening of the region's resilience. Positive factors in education are the expansion of the range of providers of educational services, the strengthening of its practice-oriented orientation, the integration of the content of education. The authors determine the impact of the development of institutional partnership on the resilience of regional socio-economic development, determine the types and features of partnership models by type of management, resources, levels of education, determining goals, connections between partnership participants and other features. The authors also justify the need and content of regulatory interventions for scaling the model of institutional partnership of providers of educational services in order to increase the resilience of local/regional social and economic development.
Neurofuzzy semantic similarity measurement

Automatically identifying the degree of semantic similarity between two small pieces of text has grown in importance recently. Its impact on various computer-related domains and recent breakthroughs in neural computation has increased the opportunities for better solutions to be developed. This work contributes a neurofuzzy approach for semantic textual similarity that uses neural networks and fuzzy logics. The idea is to combine the capabilities of the deep neural models for working with text with the ones from fuzzy logic for aggregating numerical data. The results of our experiments suggest that such an approach can accurately determine semantic similarity.
An Intelligent Retrieval Algorithm for Digital Literature Promotion Information Based on TRS Information Retrieval

The world has entered the information age, and one of the main factors of social development is various information resources. Word processing is one of the first information technologies to be developed that has grown very rapidly and successfully. As a category of multimedia resources, documents are widely used in institutions, such as corporations, governments, and digital libraries. Traditional search technology has been unable to meet the needs of this development, and how to find information in this sea of digital information has become an urgent problem. Therefore, this study has conducted a research experiment on promoting digital literature for text retrieval system information retrieval. The experimental data have shown that 310 (73.81%) students wanted WeChat and Weibo as a way of digital literature retrieval and promotion. Moreover, 267 (63.57%) students wanted e-books as a way to promote, and 172 (40.95%) students would like to participate in novel digital literature retrieval promotion activities.
Formation Networks of Terms for Identifying Semantic Similarity or Difference Degree of Texts in Cybersecurity

&#x0D; &#x0D; &#x0D; This paper devoted the problem of identifying a semantic similarity degree or difference of text in cybersecurity field. The paper presents a method for comparing text documents based on the formation and comparison of the corresponding semantic networks. The directed weighted network of terms, where the nodes of such networks are key terms of the text, and edges are semantic relationships between these terms in the text are considered as a semantic network. The algorithm for formation semantic networks as one of the types of ontologies is also presented. Formation of network of term includes pre-processing of text data, extraction of key terms, construction of undirected network of terms (using the algorithm of horizontal visibility graph), determining undirected connections between terms, and further determining the directions of connections and their weight values. The Frobenius norm of the difference of matrices corresponding to the semantic networks is considered to compare the semantic networks. An identifying the critically different texts that can have similar keywords but different semantic between them is important to ensure cybersecurity. Also, the proposed approach can be helpful while solving the problem of accumulating text data semantically similar in content. In general, this approach can also be used in systems of automatic information retrieval to determine the degree of similarity or difference in the structure and semantics of texts and identify the sources of information that have a destructive impact on the information space.&#x0D; &#x0D; &#x0D;
A Study of Machine Learning Effectiveness in Detecting Credit Card Fraud: KNIME

Abstract: Credit cards are becoming the most widely utilized form of payment. The numbers of fraud users are growing as quickly as the technology. This paper discusses the performance of three popular Machine Leaning techniques for predicting credit card fraud detection. In this paper we used Machine Learning algorithms such as Decision Tree, Random Forest and Simple Regression tree for handling the imbalanced credit dataset. KNIME is used as data analytical tool for the purpose of simulation. The Comparative Study related to Accuracy is being tested and the Regression tree will give the best result
Suraksha Kavach - Crime Prediction and Analysis

Abstract: Suraksha Kavach is a word used to describe protection to ward off the evil eye in our lives. Our primary motivation behind taking up this work was our common interest in the fields of Machine Learning and contribution towards the field of police, the welfare of the public, and their safety, thus the name “Suraksha Kavach”. In addition to this, observed that there was a lack of means for facilitating the safety of society. So we decided to take up this topic and try to solve this massive problem. Be using several machine learning algorithms to create an ensemble method to solve this problem. With the help of ensemble methods, the accuracy of the result that we will obtain will be very high. Our effort can bring about a revolution in technology regarding crime prediction and analysis and greatly help the crime branch and police personnel.
The Effect of Smart Mobility Implementations in Increasing the Level of Road Traffic Safety in Riyadh City (Abi Bakr Assiddiq and Al Urubah Roads as a Case Study)

Over the past century, there has been rapid increasing in urbanization everywhere worldwide.People and vehicles movement have always been critical to the quality of life around the world.This development causes some challenges in several main aspects of cities, including mobility systemsThis study mentions the current smart implementations in Riyadh city, Saudi Arabia, focusing on its effectiveness in raising the level of traffic safety by reducing traffic accidents.The statistical data of traffic accidents was used in different spots through two main roads: Abi Bakr Assiddiq and Al Urubah roads during two different years (2016 and 2018).Comparing the accidents data shows a significant decrease in the number of traffic accidents that occurred in the selected study areas.Accordingly, most of the study sites indicate that smart applications in urban cities have positive effects on the level of traffic safety by reducing road traffic accidents.
TANDUK MAJENG (MADURA’S SONG) AS MEDIA TO IMPROVE ENGLISH SKILL AT PAUD BADRUZ ZAMAN

English learning has been given in formal education, but the methods used are usually less interesting and make some children bored and have difficulty understanding the material presented. Therefore, the implementation of the traditional tanduk majeng song as media in improving English skills at PAUD. Badruz Zaman is expected to make it easy for children to learn English and make learning English fun with interesting method. This activity is carried out for Pre-Primary School so that they have English language skills in vocabulary, language structure, listening and reading. In addition, this activity is also expected to create children who will be ready to compete in the world of education with English language skills.
Research on Distributed Software of College Online Education Based on Information Gain Optimization Algorithm

The paper analyzes the shortcomings of the information gain method, applies frequency, concentration and dispersion to the information gain method, and proposes a feature optimization selection method based on information gain. By introducing the service resource framework WSRF technical specification, a new grid distance education system model GEM based on the open grid service structure OGSA. According to the existing problems of modern distance education, a distributed distance education system based on object Web computing is studied by using CORBA/Java. On this basis, a new dynamic distributed system structure technology and idea based on object-oriented technology is applied to develop and realize the distance education question bank system.
Pelatihan Desain Grafis Menggunakan Aplikasi Adobe Photoshop Pada Ibu PKK Dan Karang Taruna Di Kelurahan Pancoran Mas Kota Depok

The readiness and accessibility of top-notch human resources must be harmonized with the current technology improvements and advancements. The country of Indonesia country, which has a population of around 275 million, has a lot of potential for developing its human resource base. However, preparing its human resources to compete in the global market is a challenge. Therefore, through partnership programs between educational institutions and various organizations, it is the best means of information transfer to increase knowledge and skills in the community. In order to carry out the Tri Dharma of Higher Education, the lecturers of the Computer System Study Program plan to conduct training activities in Pancoran Mas Village, Depok City. The lecturers of the Computer System Study Program at Bung Karno University plan to conduct training activities as part of the implementation of the Tri Dharma of Higher Education, this activity is carried out in Pancoran Mas Village, Depok City. This training activity was carried out in 2 time periods, namely on 21 and 28 July 2022 with the title graphic design training using Adobe Photosop software for PKK and Karang Taruna women, this training was attended by 11 participants consisting of 6 elements from PKK women and 5 participants from Karang Taruna elements. cadets. This activity is carried out using direct training and mentoring methods packaged into 3 learning models such as lectures, practice and sharing sessions, the results of this activity are able to provide new experiences, increase understanding, knowledge, and skills for participants in making a design object. The level of understanding of the original participants was 48.18% and at the end of the training participants were able to increase their understanding by 29.09% so that the understanding of participants now reaches 77.27%. This activity was successfully implemented and obtained satisfactory results based on the level of participant satisfaction of 72.4%.
Learn About Vocabulary Learning in Mobile Apps through Web Surveys

Vocabulary plays an important role in learning a foreign language. However, vocabulary learning has always plagued Chinese students and teachers. Faced with many English vocabularies that need to be learned and mastered, the students tried different memorizing methods, but none of them achieved good results. With the development of modern education technology, mobile-supported education is gradually entering English education. As an interactive mobile device with a high booking rate and high portability, mobile phones provide an opportunity to teach English vocabulary. This article aims to study the effectiveness of vocabulary teaching for college English majors based on mobile-assisted teaching. Based on the analysis of the advantages of mobile-assisted teaching and the characteristics of mobile-assisted teaching, this article selects students from two classes of English majors in a college in this province as the research object, we used different vocabulary teaching methods to teach vocabulary to the students in the two classes. Finally, through questionnaires, we learned about the students' vocabulary learning using mobile applications. The survey results show that the reform of the teaching mode of mobile vocabulary learning has greatly improved the English performance of college students, which proves that the attempt of this mode is relatively successful.
Formation of Professional Competencies in Students-ecologists as a Psychological and Pedagogical Problem

The purpose of the study is to assess the compliance of professional competencies of graduates – environmentalists with the needs of the labor market. The work is based on the results analysis of a sociological survey conducted among graduates and stakeholders. The authors conducted a survey of graduates and their potential employers on their priorities among the professional competencies. The authors have analyzed professional opportunities of graduates-ecologists and the employers’ requirements related to their competencies. In this regard, we calculated a rating of competencies significance for employers. The article compares professional expectations of the graduates and their employers. Conclusions. The authors conclude that students attach great importance to competencies, providing opportunities for professional growth, mastery of new technologies and application of innovations. Employers bring teamwork skills, professional skills and knowledge in the professional sphere to the fore.
Guided Filtering Combining Neighborhood Variance and Anisotropic Window

Aiming at the problem that guided filtering would cause halo near the edge and it is difficult to identify fine edges, a guided filtering combining neighborhood variance and anisotropic window is proposed. Firstly, the directional selectivity of the anisotropic Gaussian filter is used for the recognition of the fine edge, and the narrow spatial structure of the filter can benefit the information fusion of different pixels inside the local window to suppress the edge blur and halo effect. Secondly, based on the local structure similarity, the neighborhood variance is introduced to optimize the parameters of local linear transformation, so as to achieve the maximum diffusion at non-edge region while preserving strong edges. The experimental results on 102 Category Flower Dataset show that, compared with other edge-preserving filtering methods, the proposed method is superior to other methods in visual effect and quantitative evaluation (PSNR and SSIM), and the distortion of the test image is 46.72%, 48.64% and 29.61% smaller than guided filtering, weighted guided filtering and anisotropic guided filtering respectively. It can effectively suppress the occurrence of artifacts while recognizing precise edges.
Statistical stegdetectors performance by message re-embedding

State-of-the-art stegdetectors for digital images are based on pre-processing (calibration) of analyzed image for increasing stego-to-cover ratio. In most cases, the calibration is realized by image processing with enormous set of high-pass filters to obtain good estimation of cover image from the stego one. Nevertheless, the efficiency of this approach significantly depends on careful selection of filters for reliably extraction of cover image alterations that are specific for each embedding method. The selection is non-trivial and laborious operation that is realized today by training of convolutional neural networks, such as Ye-Net, SR-Net to name but a few. The paper is devoted to performance analysis of alternative approach to image calibration, namely message re-embedding into analyzed image. The considered method is aimed to increasing stego-to-cover ratio by amplification of cover image alterations caused by message hiding. The analysis was performed on ALASKA and VISION datasets by usage of stegdetector based on SPAM model of covers. Messages were re-embedded according to state-of-the-art adaptive methods HUGO, S-UNIWARD, MG and MiPOD. Proposed approach allows significantly (up to 20%) decreasing detection error even in case of low payload of cover image (less than 10%) where modern stegdetectors are ineffective.
Sentiment Analysis on Gold Currency

This research was conducted to examine the Gold Currency in the scope of the economy in terms of scientific research in published journals and indexed by Scopus. The method used is sentiment analysis from secondary data in the form of 100 journals published in the last three years and then processed using Ms. software. Excel 2016 and SentiStrength. The results show that research on Gold Currency in the scientific literature has increased. The sentiment analysis results show a tendency for negative perceptions in the scientific literature towards Gold Currency, with negative high sentiment of 1% and negative sentiment of 36%. The neutral sentiment at 43%, then positive sentiment at 20%. The benefit of this research is for literature material and considerations related to Gold Currency. As well as efforts to find out the threats, negative perceptions, and shortcomings of Gold Currency. In addition, to find out positive perceptions, advantages and benefits of Gold Currency.
DIGITAL TEACHER COMPETENCES: MAIN LESSONS AND FUTURE CHALLENGES

The article presents a review literature and of different frameworks for teachers 'digital competence. Many countries, concerned by the digital skills of their youth, have realized that the development of digital competence requires optimal formation by teachers. For this reason, many have carried out initiatives to ensure that teachers have an adequate level of Digital Competence in order to guarantee the development of school-aged children's digital competence. On International and national level, several frameworks, training programs have been developed to describe the facets of digital competence for teachers and to help them assess their competence, identify their training needs and offer targeted training: European frameworks (France and European Commission), American frameworks (USA and Chile), Australian framework; Asian framework (Republic of the Philippines), Spanish-American framework (Eurolat) and international frameworks (UNESCO and EPICT) etc. In Spain, the Ministry of Education, Culture and Sport has elaborated a Proposal for a common digital framework for teachers (2014, 2017) in line with the proposal generated by the center of investigation Joint Research Centre, from the European Commission which published in June 2016 the 2.0 version of the DigComp Project results, within the European framework on citizens' digital competence. From the conceptualization of the competences, we analyze the implications that this new approach generates on the work of the professorship and we distinguish the main lessons that an common framework of the digital competences must have to efficiently utilizing results of the literature review in universities, it concludes with suggestions for future challenges.