Reviewerly/exHarmony huggingface dataset:
Efficient histogram for region based image retrieval in the discrete cosine transform domain

&lt;p&gt;Recently, several approaches of content based-image retrieval (CBIR), based on the characteristics of discrete cosine transform (DCT), such as decorrelation and concentration of energy in only a few coefficients, have been proposed. To reduce the semantic gap between high level search and low level patterns, a new concept based on region based search region-based image retrieval (RBIR) has been proposed. Recently, we proposed to use shape-adaptive (SA) DCT in a new RBIR system. In this paper, we propose an efficient histogram optimization suited to our region-based concept. This histogram takes into account the pattern’s from the SA-DCT of the border blocks as well as the DCT coefficients of the internal blocks. Our proposed scheme has greatly improved the results compared to region-based reference methods. Regionbased search is limited to the object of interest only, i.e. a region of the query image can only match a region of another image in the database.&lt;/p&gt;
TEKNIK AKROSTIK DALAM MENINGKATKAN MENULIS PUISI

The purpose of this article is to analyze the differences in the application of acrostic techniques from the research results and to find out the results achieved from the application of acrostic techniques in these various studies. This study uses a qualitative approach with a literature study research design. The necessary data were collected through text studies, then analyzed using content analysis techniques. Based on the literature study, it shows that this acrostic technique can increase students' learning activities while at the same time increasing the results of learning to write poetry. The acrostic technique will give significant results when added using appropriate learning media. ABSTRAKTujuan penulisan artikel ini untuk menganalisis perbedaan penerapan teknik akrostik dari hasil-hasil penelitian dan untuk mengetahui hasil yang dicapai dari penerapan teknik akrostik dalam berbagai penelitian tersebut. Penelitian ini menggunakan pendekatan kualitatif dengan desain penelitian studi literatur. Data yang diperlukan dihimpun melalui kajian teks, selanjutnya dianalisis menggunakan teknik analisi isi. Berdasarkan studi literatur menunjukkan bahwa teknik akrostik ini dapat meningkatkan aktivitas belajar peserta didik sekaligus dapat meningkatkan hasil belajar menulis puisi. Teknik akrostik akan memberikan hasil yang signifikan bila ditambahkan dengan menggunakan media pembelajaran yang sesuai.
The Effects of the COVID-19 Pandemic on Educational Communities: Evidence of Early Childhood Education Students

In the last two years, the effects of the COVID-19 pandemic on schools and its consequences for the training of new teachers have been the subject of numerous studies. The pandemic has led to a change in schools and their functioning, as trainee teachers have had to be introduced to a new environment for which university training proved to be insufficient. The pandemic poses shared challenges in which future teachers must be present. The objective of this study is to assess the perception of students enrolled in Early Childhood Education courses at the University of Extremadura (Spain) regarding the impact relationships between the subjects and agents of the educational communities. In order to achieve this goal, we present a qualitative study with a phenomenological design. The results of this research show perceptions in line with what the scientific literature shows: a profound change in the relationships between the different agents. Communication increased, but pedagogical issues were displaced by concerns about the health emergency. This study concludes with the need to broaden the knowledge of future teachers about the administrative functioning of and their relationship with the school, as well as about new resources to address new challenges.
Transmission of Information by Non-genetic Mechanisms

Society is considered as a cooperative association of specialized communities of individuals. This new independent object of nature is a special form of collective, supra-individual existence of people, which, thanks to the mutually beneficial information connections of individuals, has all the attributes of a living system. In a supra-individual structure, a network effect occurs - when an impact or service becomes better, the more people use it. From the point of view of topology, the network consists of internal network structures and external ones connected with neighbors. The network may contain closed elements (cycles) and open elements (branches). Individuals functioning autonomously and providing primary data on their own functioning, as a result of cooperation or group symbiosis, create a new unique integral object, by exchanging available data, on the basis of a common cycle of relations between generators, converters, and receivers of information. The network communications infrastructure frees the participants in the communication cycle from the energy costs of searching for and obtaining information resources.
Compositional action recognition with multi-view feature fusion

Most action recognition tasks now treat the activity as a single event in a video clip. Recently, the benefits of representing activities as a combination of verbs and nouns for action recognition have shown to be effective in improving action understanding, allowing us to capture such representations. However, there is still a lack of research on representational learning using cross-view or cross-modality information. To exploit the complementary information between multiple views, we propose a feature fusion framework, and our framework is divided into two steps: extraction of appearance features and fusion of multi-view features. We validate our approach on two action recognition datasets, IKEA ASM and LEMMA. We demonstrate that multi-view fusion can effectively generalize across appearances and identify previously unseen actions of interacting objects, surpassing current state-of-the-art methods. In particular, on the IKEA ASM dataset, the performance of the multi-view fusion approach improves 18.1% over the performance of the single-view approach on top-1.
Face detection and recognition with 180 degree rotation based on principal component analysis algorithm

&lt;p&gt;This paper presents a simple and fast recognition system with various facial expressions, poses, and rotation. The proposed system performed in two phases. Face detection is the first phase. The front and profile face detected cropped face area from the image by Viola-Jones algorithm and the right side face is detected from the image by taking the flip of the profile image. Principal component analysis (eigenfaces) algorithm is used in the recognition phase and depends on created database models used to be compared with test face image input to the recognition procedure. For training and testing the system, two sets of the image of the file exchange interface (FEI) database have been used to identify the person. The experimental result shows the effectiveness and robustness of the method used for the detection of the face and achieves high accuracy of 96%, which improves the recognition performance with low execution time. Furthermore, the accuracy of 35 trained images for recognition is 97.143% with average time execution which is (0.323657s). Also, the accuracy of 15 tested images for recognition is 93.315% with average time execution which is (0.3348s) which indicates a good and strong success and accuracy method for facial recognition.&lt;/p&gt;
Blockchain Technology and its Potential Effect on the Banking Industry (China Case Study)

The aim of the research is to investigate potential effects of the finance industry and block-chain to general business of financing in particular, as well as its shortcomings and difficulties. To answer the research questions, the researcher used the objective narrative-analytical descriptive approach and included a qualitative analysis of Blockchain technology. The process of Blockchain technology based on their industries, the authors were selected based on their reputation in the Blockchain field. The research found that Blockchain can improve the efficiency of the banking industry's various sections. It has the ability to upgrade and transfer wages across borders, financial reporting and compliance, as well as trade finance and capital markets. It also facilitates the procedure of getting to know your customer straightforward, and in addition to these advantages regulation and technological problems are some of the roadblocks. that must be resolved for effective implementation in the financial system
Estimating Cue Strengths in Oral Production in a Japanese Learner Corpus

Word order, case marking, and animacy are cues used to convey and comprehend argument roles in transitive events. Japanese, however, is characterized by flexible word order, null arguments, and case-marker omission. This study analyzes corpus data of interviews between native Japanese speakers and L1-English and L1-Korean learners to examine these characteristics in both input to learners and learners' own production. The relative importance of the three cues is estimated based on their distributional properties using the competition model framework. The findings indicate that animacy was the strongest cue for the native speakers and, when at least one NP was elided, for the learners. However, when both subject and object were present, learners adhered to SOV word order. Case marking was reliable when present but was so frequently omitted that it was not a useful cue, contra previous reports. L1 and proficiency effects are also discussed.
Application of Internet of Things Technology in Power Terminal Communication Access Network

This paper introduces the Internet of Things technology and makes full use of the perceptual advantages of the Internet of Things at the end of the network to realize the seamless connection of the sensor network, the terminal communication access network and the backbone network. It studies the mobile terminal security access authentication method combined with fingerprints, Data level and command level fusion secure exchange bus technology, machine learning-based smart whitelist technology and network transmission strategy dynamic adjustment method, and put forward innovative ideas that fit the current production and operation of power companies based on the above key technologies, and improve power information The ability to pre-check safety hazards can realize continuous empowerment of safety technology.
Be More Specific! An Exploratory Study of 5g and Blockchain Application on Retailing Industry With Suning Limited Case

Currently, 5G and blockchain technologies become a pervasive topic. While lots of research are conducting a general review of their technical characteristics and proposing various application scenarios, a study that focuses on a specific industry supported with practical data is still in a paucity. This study selects Suning Limited, one of the Chinese pioneers in the blockchain and 5G technology deployment and development, as the main case to explore how the above two technologies can be applied in the retailing industry to achieve the organization goals in terms of performance effectiveness and efficiency. Meanwhile, this study introduces how 5G and blockchain as solutions to deal with some main operational and managerial challenges in the industry. The limitations and recommendations of the study are provided.
The notion of ‘Open Science’: its values and meaning for the higher education system

The article is dedicated to the analysis of the notion and phenomenon of ‘open science’ as a way to solve the paradoxes of the today’s science as a mass occupation, especially in higher education. In the absence of inner motivations for scientific investigations among both undergraduates and professional researchers, science becomes a ‘closed’ system, which turns into a profanation of academic activities and is deprived of connection with society in general. The concept of “open science” that has appeared in the public discourse in 2010s is presented as a complex multilayer phenomenon. The analyzes reveals that this notion combines the emphasis on behavior, practices and procedures (free and open public access to data, methods, research results and publications) on the ‘lower‘ level with the urge to create technological platforms, services and tools for scientists to enable their wide international and interdisciplinary cooperation on the ‘middle’ level and with the theory and values that would enable science to re-institutionalize itself in today’s society as a public activity on the ‘higher’ level. The values here refer to the classical scientific ethos: openness of science acts as an explication of the mertonian principles of universalism and communism as fundamental values of science. It is argued that the development of the ‘open science’ concept corresponds to the democratization of science in general: a truly effective academic activity could be based only on the moral imperative of each human person as an autonomous and creative subject of judgment and of reconstruction of the ideal of scientific ethos. At the same time, ‘open science’ partly resembles today a popular slogan actively used in public discourse and in various declarations, but the task of filling it with meanings and translating it into practices is still unsolved.
Solving Traveling Salesman Problems Based on Artificial Cooperative Search Algorithm

The traveling salesman problem is a typical NP hard problem and a typical combinatorial optimization problem. Therefore, an improved artificial cooperative search algorithm is proposed to solve the traveling salesman problem. For the basic artificial collaborative search algorithm, firstly, the sigmoid function is used to construct the scale factor to enhance the global search ability of the algorithm; secondly, in the mutation stage, the DE/rand/1 mutation strategy of differential evolution algorithm is added to carry out secondary mutation to the current population, so as to improve the calculation accuracy of the algorithm and the diversity of the population. Then, in the later stage of the algorithm development, the quasi-reverse learning strategy is introduced to further improve the quality of the solution. Finally, several examples of traveling salesman problem library (TSPLIB) are solved using the improved artificial cooperative search algorithm and compared with the related algorithms. The results show that the proposed algorithm is better than the comparison algorithm in solving the travel salesman problem and has good robustness.
Forward feature selection for toxic speech classification using support vector machine and random forest

&lt;span lang="EN-US"&gt;This study describes the methods for eliminating irrelevant features in speech data to enhance toxic speech classification accuracy and reduce the complexity of the learning process. Therefore, the wrapper method is introduced to estimate the forward selection technique based on support vector machine (SVM) and random forest (RF) classifier algorithms. Eight main speech features were then extracted with derivatives consisting of 9 statistical sub-features from 72 features in the extraction process. Furthermore, Python is used to implement the classifier algorithm of 2,000 toxic data collected through the world's largest video sharing media, known as YouTube. Conclusively, this experiment shows that after the feature selection process, the classification performance using SVM and RF algorithms increases to an excellent extent. We were able to select 10 speech features out of 72 original feature sets using the forward feature selection method, with 99.5% classification accuracy using RF and 99.2% using SVM.&lt;/span&gt;
Generate Detailed Captions of an Image using Deep Learning

Abstract: This paper shows the implementation of image caption generation using deep learning algorithm. The project is one of the primary example of computer vision. The main aim of computer vision is scene undertanding. The algorithms used in this model are CNN and LSTM. This model is an extension of the model based on CNN - RNN Model which suffers from the drawback of vanishing gradient. Xception model is used for image feature extraction and is a CNN model that is trained using ImageNet dataset. Extracted features from the Xception model is fed as the input to the LSTM model which in turn generates the caption for the image. The dataset used for training and testing is Flickr_8k dataset.
Topological phases and entanglement in real space for 1D SSH topological insulator: effects of first and second neighbor-hoppings

The hybrid atoms-cell site entanglement in a one-dimensional Su-Schrieffer-Heeger (SSH) topological insulator with first and second neighbor hopping in space representation of finite chains is analyzed. The geometrical phase is calculated by the Resta electric polarization and the entanglement in the atomic basis by the Schmidt number. A relation between entanglement and the topological phase transitions (TPT) is given since the Schmidt number has local critical points of maximal entangled (ME) states in the singularities of the geometrical phase. States with second neighbors have higher entanglement than first-neighbors hopping. The general conditions to produce ME hybrid Bell states and the localization-entanglement relation are given.
Ideation in its adaptation to the educational process

Introduction.Current demand for practicing intercultural dialogue in the educational space is of strategic importance for the future professional in today's convivial world.Purpose: This article describes psychological and pedagogical techniques for acquiring linguistic and cultural information in order to use it as an object of research and to form ideas or conceptions (to ideate) about this object in a cross-cultural context.Materials and methods: Logical analysis and interpretive case study based on the cognitive approach to creating learning specifications become the main methods in developing principles for incorporating idea generation, or ideation into academic practice.The material of the study was the analytical data of practical work on different sources of cultural heritage.The article provides examples of consideration of ideative objects "scream/cry" as authorial concepts in the visual language of E. Munch, V. Kandinsky and the story by I. Bunin and "punishment" in F. Dostoevsky.Results: Interpretations of ideation vary and will continue to vary.Here, ideation as dealing with the ideative object is a bridge to the "frame alignment" of the conceptual category, schematization, formative recovery of the idea, or conceptualisation.As an educational component, ideation is a multicyclic process involving students' actions (goal configuration, object field recognition, object localisation, object adaptation) triggered by the teacher's corresponding actions (purposefulness, problem situation modelling, object contingencies analysis, object fulfilment orientation).Conclusion: Education is the space where the foundations are laid for intercultural dialogue and thus for the interaction of cultures.
A Hybrid Data-Differencing and Compression Algorithm for the Automotive Industry

We propose an innovative delta-differencing algorithm that combines software-updating methods with LZ77 data compression. This software-updating method relates to server-side software that creates binary delta files and to client-side software that performs software-update installations. The proposed algorithm creates binary-differencing streams already compressed from an initial phase. We present a software-updating method suitable for OTA software updates and the method's basic strategies to achieve a better performance in terms of speed, compression ratio or a combination of both. A comparison with publicly available solutions is provided. Our test results show our method, Keops, can outperform an LZMA (Lempel-Ziv-Markov chain-algorithm) based binary differencing solution in terms of compression ratio in two cases by more than 3% while being two to five times faster in decompression. We also prove experimentally that the difference between Keops and other competing delta-creator software increases when larger history buffers are used. In one case, we achieve a three times better performance for a delta rate compared to other competing delta rates.
Problems and Prospects of Formation of Digital Competence of Future Scientific and Pedagogical Workers of Higher Education Institutions Through Gamification: Opportunities Kahoot, Quizlet in the European Union

This article discussed the trends and features of the formation of digital competence of future teachers through virtual games such as Kahoot and Quizlet. The purpose of this article was to identify modern features of the use of virtual games in the educational process of future teachers in European Union. To achieved this goal, an analytical study was conducted on the use of Kahoot and Quizlet in education. A logical, historical, and comparative legal method was used to research prospects of formation of digital competence of future scientific and pedagogical workers of higher education institutions through gamification. Using a comparative legal method, a comparative analysis of the level of use of gamification tools. As a result, conclusions were made about a significant increase in the level of use of gamification tools in various types of educational activities of future research and teaching staff. It was determined that there are negative and positive effects of gamification. It is concluded that the use of gamification tools in various types of educational activities requires students to develop additional skills that are necessary in today's world. Active use of Kahoot, Quizlet in education helps to improve students' adaptive and social skills, quickly analyze their achievements and easily convey new information. Moreover, this format contains features before the usual learning format. Therefore, the problem of developing appropriate methods and skills of gamification in education was becoming urgent. As a result, it was determined that the topic of effective use of gamification tools in education is becoming increasingly important.
Pedagogical culture: The value-semantic context of digital transformation of education

The purpose of the article is to determine the value-semantic teaching guidelines taking into account changes caused by the digital transformation of education. Humanistic foundations of education in current conditions proposed by the author as a result of the scientific and theoretical analysis are as follows: (1) pedagogical culture is a meaningful part of the educational system, (2) the architecture of relations between the stages of educational activity has changed, (3) pedagogical culture is a component of teaching proficiency in the digital world. All these aspects make up the considerations that should be taken into account when evaluating options to improve an educational system.
Absence Agents: Mitigating Interruptions in Extended Reality Remote Collaboration

Although dealing with interruptions in remote collaboration has been studied in general, few works have done this for Extended Reality (XR) collaboration. With the current explosion of interest in XR collaboration, we explore the negative impacts of interruptions in synchronous distributed XR environments and propose a novel concept for dealing with them: Absence Agents. We present their requirements analysis, design, and a prototype implementation. We believe that our concept and design of Absence Agents are important for practitioners and researchers alike, as they highlight avenues for future research.