Reviewerly/exHarmony huggingface dataset:
An Introduction of Distributed Ledger Technology in Blockchain and its Applications

With the release of Bitcoin in 2008, the technology behind it, Blockchain which is based on Distributed Ledger Technology is getting popular day by day and there is continuous development and improvement in Distributed Ledger Technologies. In this paper, we have not restricted ourselves to Blockchain and we have introduced some popular Distributed Ledger Technologies, a little bit about their technical implementation and areas where it can be used to make workflow easier, efficient and transparent. Several publications and organizations' websites and blogs have been analyzed to find the best practical applications of Distributed Ledger Technologies and various companies working on its implementation.
Selection gate-based networks for semantic relation extraction

Semantic relatedness between context information and entities, which is one of the most easily accessible features, has been proven to be very useful for detecting the semantic relation held in the text segment.However, some methods fail to take into account important information between entities and contexts.How to effectively choose the closest and the most relevant information to the entity in context words in a sentence is an important task.In this paper, we propose selection gate-based networks (SGate-NN) to model the relatedness of an entity word with its context words, and select the relevant parts of contexts to infer the semantic relation toward the entity.We conduct experiments using the SemEval-2010 Task 8 dataset.Extensive experiments and the results demonstrate that the proposed method is effective for relation classification, which can obtain state-of-the-art classification accuracy.
The GRIN Approach: Minimizing Disruptive Behaviors and Increasing Academic Engagements

Learners cannot learn in chaos. Teachers as facilitators of learning is also the classroom manager. Numerous research and studies have correlated that positive classroom management is vital for effective teaching and learning to happen. Studies also showed that disruptive behaviors inside the classroom will be a great hindrance for learning if not addressed properly.On the other hand, studies have also shown that corporal punishment or punitive approaches to disruptive behavior have cause more harm rather than to solve the problem. These negative responses were able alleviate and not decrease the learners sense of responsibility with theiractions. Inflicting fear within them is not an effective solution to stop the learners misbehaviors.The GRIN Approach (Guidance, Redirection and Interaction Notebook) is an intervention which helps to minimize classroom’s disruptive behaviors and increase the learners’ academic engagements. Through anecdotal records in the form of journal pseudo social contracts,learners, parents and or guardians and the teacher agree of certain personal interventions suggested by the parties that can help the learners reflect on the consequences of his/her behavior inside the classroom. The GRIN Approach also increases the academic engagements of the learners especially those who are at risk of dropping out or engaging into belligerent behaviors.
Encryption then steganography framework on high capacity data hiding in grayscale images

In the modern digital world, Communication technology has major role for sending and receiving information across networks. Various formats of information are transmitted over the communication channels including text, image and video. The advancement in technology provides an easy and fast way of transmitting the data. However, the channel used for communication is not fully protected from different attacks, due to that it cannot be fully trusted. To secure the data transmitted over the communication channel, is protected using different mechanisms like, cryptography and steganography. Cryptography is an art of secret writing. The strength of cryptography mainly depends on the key used for encoding the data. Depends on the way in which how data is encoded using the key, there are symmetric and asymmetric algorithms. Steganography is cover writing. The information is covered in the carrier image and then transmitted over the channel. The data is restored in the receiving side by separating the carrier image and data separately. The research is carried out with two main objectives. First objective is to ensure the security of the data, which is achieved in by applying Encryption Then Steganography (ETS). Second objective was to increase the capacity of hiding the data. Experimental results have proved that the proposed framework has performed excellently on the objectives.
Video-based bbnormal behaviour detection in smartsurveillance systems

Due to increasing demand for Security, the instant detection of abnormalbehaior in video surveillance systems becomes a critical issue in a smart surveillancesystem. The currently applied semiautomatic systems mainly dependon human intervention to detect the abnormal activities and suspicious humanbehaviours from video context. Due to these limitations, it has become an urgentneed for intelligence systems to avoid the very slow response and reduce the humanobserver and interventions . In this paper, a method that can trace abnormalitiesof human behaviour from video is presented. Techniques related to boundingbox measurements and descriptions for behaviour representation were used.Moreover, the performance evaluation of the proposed method is presented.
Neural Network Facial Authentication for Public Electric Vehicle Charging Station

This study is to investigate and compare the facial recognition accuracy performance of Dlib ResNet against a K-Nearest Neighbour (KNN) classifier. Particularly when used against a dataset from an Asian ethnicity as Dlib ResNet was reported to have an accuracy deficiency when it comes to Asian faces. The comparisons are both implemented on the facial vectors extracted using the Histogram of Oriented Gradients (HOG) method and use the same dataset for a fair comparison. Authentication of a user by facial recognition in an electric vehicle (EV) charging station demonstrates a practical use case for such an authentication system.
Identification and explanation of the factors related to knowledge management in supreme audit court

The purpose of this study is to identify and explain the factors related to knowledge management. The present research is applied in the field of applied research. It is a descriptive research and survey method based on a questionnaire tool. In this research, firstly, through the study of previous studies and studies, a relatively comprehensive understanding of the literature in this field was obtained and, accordingly, a preliminary list of knowledge management factors as well as its components and indicators were provided. Then these factors were completed and finalized using content analysis and Delphi methodology. The statistical population of this research, in the Delphic Phase, 30 experts and at the stage of factor analysis, 199 managers Court of Auditors in different categories. The findings of the main components analysis using one-sample t-test and Chi-square test showed that the factors related to knowledge management include leadership, culture, technology, education, human resources, activities and processes, and infrastructure. After confirming the relationship of each of these factors with knowledge management, using Pearson correlation coefficient, we have provided practical suggestions for improving and improving knowledge management.
FORMATION OF EMOTIONAL INTELLIGENCE OF THE FUTURE MANAGER OF EDUCATION ON THE BASIS OF COACHING TECHNOLOGY

Analysis of the scientific and theoretical foundations of Emotional Intelligence, psycho-physiological requirements for the training of the future education manager revealed its similarity with the philosophy of coaching. On this basis, the hypothesis is put forward – the formation of Emotional Intelligence, as an important component of the professional competence of future professionals in the field of education, can be effective through the usage of coaching technology. The pedagogical experiment has been organized to test it. Its results are presented in this article.
Do people's user types change over time? An exploratory study

In recent years, different studies have proposed and validated user models (e.g., Bartle, BrainHex, and Hexad) to represent the different user profiles in games and gamified settings. However, the results of applying these user models in practice (e.g., to personalize gamified systems) are still contradictory. One of the hypotheses for these results is that the user types can change over time (i.e., user types are dynamic). To start to understand whether user types can change over time, we conducted an exploratory study analyzing data from 74 participants to identify if their user type (Achiever, Philanthropist, Socialiser, Free Spirit, Player, and Disruptor) had changed over time (six months). The results indicate that there is a change in the dominant user type of the participants, as well as the average scores in the Hexad sub-scales. These results imply that all the scores should be considered when defining the Hexad's user type and that the user types are dynamic. Our results contribute with practical implications, indicating that the personalization currently made (generally static) may be insufficient to improve the users' experience, requiring user types to be analyzed continuously and personalization to be done dynamically.
The novel noise classification techniques found on quadruple threshold statistical detection filter under fix intensity impulse outlier environment

Because of the enormous necessity of contemporary noise suppressing algorithms, this article proposes the novel noise classification technique found on QTSD filter improved from the TTSD filter. The four thresholds for each auxiliary situations are incorporated into the proposed QTSD framework for dealing with the limitation of the earlier noise classification technique. The mathematical pattern is modeled by each photograph elements and is investigated in contradiction to the 1st threshold for analyzing whether it is non-noise or noise photograph elements. Subsequently, the calculated photograph element is analyzed with the contradiction between the 2nd threshold, which is modeled by using the normal distribution (mean and variance), and is analyzed with the contradiction between the 3rd threshold, which is modeled by using the quartile distribution (median). Finally, the calculated photograph element is investigated in contradiction to the 4th threshold, which is modeled from maximum or minimum value for analyzing whether it is non-noise or noise photograph elements FIIN. For performance evaluation, extensive noisy photographs are made up of nine photographs under FIIN environment distribution, which are synthesized for investigating the proposed noise classification techniques found on QTSD filter in the objective indicators (noise classification, non-noise classification and overall classification correctness). From these results, the proposed noise classification technique can outstandingly produce the higher correctness than the earlier noise classification techniques.
Регистрация однофотонного сигнала от низколетящих спутников для целей спутникового квантового распределения ключей

A ground-based receiving station for quantum key distribution with a satellite, capable of analyzing the quantum polarization states of photons, is demonstrated. In the experiment on tracking a low-Earth orbit satellite, the residual tracking error by the ground station does not exceed 10 μrad, which ensures stable reception of the optical signal in four channels of the polarization state decoder. An estimation of the efficiency of registration of an optical signal in the mode of tracking satellites is carried out.
PERMAINAN BAHASA UNTUK STIMULASI KEMAMPUAN BAHASA RESEPTIF ANAK USIA DINI

Language games for stimulation early childhood receptive language. Receptive language is ability for listen and read. Receptive language development for children needs to be developed so that children can absorb information properly. For this reason, stimulation is needed so that the children’s receptive language can develop. One that can be do is playing language games. Language games can be done because basically playing is the main need for children. This research uses a literature study method where the data retrieval system in this research comes from books or journals that are analyzed based on existing problems. Language games that can be done to stimulate children's receptive language skills include repeating words, listening to them, guessing, whispering in chains and telling stories with indirect props. Stimulation with this method will make it easier for early childhood to develop their receptive language skills.
Importance of MVC framework in web development

— In this current competitive world developers design User Interface using MVC framework to get the user-friendly interface because of three interconnected parts in MVC. The main purpose of separating this interconnected part is to separate the internal depictions of the important information that are shown and used by the user. By the decoupling of the important components, the developer can reuse the code that helps to work side by side for the development of the project. The three layers of MVC framework are Models, Views and controllers This paper briefly explains the comparison with the famous three tier framework, a famous web-based platform ASP.net MVC, advantages and disadvantages of the MVC framework, and future technologies that can replace the MVC framework in the web development applications. This paper briefly explains about the models, views and controllers of the MVC model with their main functionalities in the development of the web applications
Instagram As Media and Tool in English Language Teaching

The main concern of this paper is to discuss the use of Instagram features as a media and tool in English language teaching. This paper outline the points including Social Media for Education and Instagram for English Language Teaching. The discussion of this paper reports that Instagram is beneficial for the English language teaching where there are several features which can support the teacher to conduct an effective and efficient teaching and learning process. It also supported by some technical use com combining digital media of Instagram and English language materials. The content of this paper is also expected to contribute for the teacher to make a digital learning environment through the media and tool that provided by Instagram.Keywords: Instagram, Media, Tool, English Language Teaching
Pengelolaan Anestesi pada Pasien yang dilakukan Eksisi Tumor Medula Spinalis Servikal 2-3 dengan Ventrikel Ekstra Sistole

Compression of the spinal cord can cause irritation to the autonomic nervous system. Hyperinervation of sympathetic nerves at high risk for arrhythmias characterized by electrocardiographic results in changes in P-wave duration, QRS duration, ST-segment depression, T-wave peak interval, and ventricular extrasystole. A 52-year-old male with an intra-extramedullar tumor in cervical 2-3, tetraparesis, dysrhythmias, and ventricular extrasystole bigemini. Wide excision of tumor and posterior stabilization would be performed. The pulse was 90x/minute palpable irregularly. Electrocardiography examination revealed irregular rhythm 82 x/minute and ventricular extrasystole 10 x/minute. Echocardiography showed grade 3 diastolic dysfunction with preserved LV function. Before the procedure, the patient was given management for the dysrhythmia and ventricular extrasystole with analgetics and amiodaron 150mg (10ml) in the first 10 minutes followed by 360mg (200mg) for the next 6 hours, 540mg for the next 18 hours and analgetics. General anesthesia carried out with midazolam 3mg, fentanyl 200mcg, lidocaine 60mg, propofol 100mg, and atricurium 30mg, with manual intubation in-line. After arterial line and central venous catheter insertion, the patient was placed in the prone position. Surgery lasted for approximately 6 hours. The patient was treated in the ICU for 2 days before moving to the usual ward. Amiodarone can be considered in ventricular extrasystole requiring immediate treatment with stable hemodynamic.
Approach to Designing Practical Arts Practice Reflecting the Philosophy of Maker Education and Sloyd System

이 연구에서는 메이커 교육과 슬로이드 시스템의 철학을 반영하여 실과 실습의 구성 방향을 제안하고자 하였다. 이 과정에서 메이커 운동으로부터 시작된 메이커 교육은 실습 활동에서 학습자가 중심이 되어야 한다는 점, 학습자의 마음가짐을 강조해야 한다는 점, 실습의 가치에 주목할 필요가 있다는 점의 교육적 함의를 찾을 수 있었다. 그리고 슬로이드 시스템에서는 실습이 온전한 인간의 형성, 일하는 즐거움의 교육적 가치, 시각과 촉각을 활용한 직관 교육법이라는 교육적 함의를 얻을 수 있었으며 교사를 바라보는 관점에서도 진정한 교사란 스스로를 온전한 교사로 느끼는 사람이며, 아동에 대하여 충분히 이해할 수 있는 교사라는 점을 확인할 수 있었다. 이러한 논의들을 바탕으로 메이커 교육의 철학과 슬로이드 시스템이 주는 교육적 함의를 실과 실습에 담기 위해서는 인지적, 행동적 교육 장면에서의 전환, 정서적 측면에서의 변화 강조, 기능적 측면에서의 기회 제공을 기본 철학으로 고려할 필요가 있다. 이러한 관점에서 실과 교과서를 구성할 때에는 가공되지 않은 재료 중심의 활동, 도구 사용에 대한 안내, 실습 결과물의 활용 방안에 대한 내용을 포함할 필요가 있다.In this study, we tried to suggest the direction for designing Practical Arts practice by reflecting the maker education and sloyd system philosophy. In this process, the educational implications were found that maker education, which started from the maker movement, should be centered on the learner in the practice activities, emphasize the learner’s mindset, and pay attention to the value of practice. And in the Sloyd system, the educational implications of the practice include the formation of a whole human being, the educational value of the joy of working, the intuitive teaching method using sight and touch, and a teacher who can fully understand children. Based on these discussions, in order to incorporate the philosophy of maker education and the educational implications of the Sloyd system into Practical Arts practice, it is necessary to consider change in cognitive and behavioral education scenes, emphasis on changes in emotional aspects, and providing opportunities in functional aspects as the basic philosophy. When constructing a practical textbook from this point of view, it is necessary to include information on activities centered on raw materials, guidance on the use of tools, and ways of using the results of the practice.
Sentiment Analysis using Contextual Approach for E-Commerce Reviews

Sentiment analysis helps people understand the opinion of other customers to other people. There are many methods for sentiment analysis but were not accurate because there are many input variables for training the model which takes more time. The main problem with the existing system is, participation of the general public is limited. There are many input variables which increases the computational cost. These algorithm results are not accurate. In this work we will use feature selection technique which will reduce the computation cost. We will use a clustering technique for grouping the opinions of the customers. The extracted opinions from the reviews are given as input for classification which can be used for prediction of remaining reviews. The reviews from the internet like google, Facebook are used as variants. The random forest and naive bayes are used while classifying the corresponding dataset. The proposed system consists of clustering techniques which are used for grouping the opinions extracted. filtering techniques like collaborative and content- Based are used which will be accurate.
Policy-Based Editing-Enabled Signatures: Authenticating Fine-Grained and Restricted Data Modification

Abstract Data owners often encrypt their bulk data and upload it to cloud in order to save storage while protecting privacy of their data at the same time. A data owner can allow a third-party entity to decrypt and access her data. However, if that entity wants to modify the data and publish the same in an authenticated way, she has to ask the owner for a signature on the modified data. This incurs substantial communication overhead if the data is modified often. In this work, we introduce the notion of policy-based editing-enabled signatures, where the data owner specifies a policy for her data such that only an entity satisfying this policy can decrypt the data. Moreover, the entity is permitted to produce a valid signature for the modified data (on behalf of the owner) without interacting with the owner every time the data is modified. On the other hand, a policy-based editing-enabled signature (PB-EES) scheme allows the data owner to choose any set of modification operations applicable to her data and still restricts a (possibly untrusted) entity to authenticate the data modified using operations from that set only. We provide two PB-EES constructions, a generic construction and a concrete instantiation. We formalize the security model for PB-EESs and analyze the security of our constructions. Finally, we evaluate the performance of the concrete PB-EES instantiation.
THE EFFECT OF PERCEPTION ON HIGH RISK TAKING BEHAVIOR AND VOCABULARY MASTERY TOWARDS STUDENTS’ SPEAKING SKILL

&lt;p&gt;Abstract: This research aims to determine the effects of perception on high risk-taking behavior and vocabulary masteries on the students’ speaking skills. The methodology used in this research is a survey method. The hypothesis test is 1) there are any significant effects of perception on high risk-taking behavior and vocabulary mastery jointly towards the students’ speaking, Sig. 0,000&amp;lt;0.05 and Fo=38.336. Perception on high risk-taking behavior and vocabulary masteries variables together accounted for 48,1% of the variable students’ speaking skill. 2)there is a significant effect of perception on high risk-taking behavior towards the students’ speaking, Sig.= 0.002&amp;lt;0.05 and ?o=3,269. Perception high risk-taking behavior accounted for 18,47 % of the increase of the students’ speaking skills. 3)there is a significant effect of the vocabulary mastery towards the students’ speaking, Sig.=0,000&amp;lt;0,05 and to=7.224. Variable vocabulary mastery accounted for 29,39% of the increase of the students’ speaking skills. In conclusion, teachers are recommended to enhance students’ perception of high-risk behavior and vocabulary masteries to improve their speaking skills.&lt;br /&gt;Keywords: perception, high risk-taking behavior, vocabulary mastery, speaking skill&lt;/p&gt;
Formation of Probability Physical Notions by Pupils on the Statistical Approach

The article offers suggestions for the introduction of probability-statistical ideas and concepts needed to improve the teaching of molecular and quantum physics departments in secondary schools.