Reviewerly/exHarmony huggingface dataset:
CakePHP Framework Realization of English Network Guiding Platform Relying on Network Environment Big Data

The proper combination of the networking technologies and the guiding platform is essential for improving the comprehensive performance. With this idea, this paper proposes the novel way of CakePHP framework realization of English network guiding platform relying on the core network environment big data. Since time series data has many unique properties, the existing classical clustering algorithms cannot be then directly applied to the data. Hence, with this data, the efficient analysis model can be improved. Furthermore, the CakePHP framework is the optimized and the platform will be then optimized. In the next time, the theoretical framework will be further verified.
An Institutional Research Data Repository and Digital Object Identifiers for SARAO Radio Astronomy, Fundamental Astronomy, and Geodesy Datasets

In recent years, researchers, librarians, publishers and funding bodies have come to realise the importance and potential of using Digital Object Identifiers (DOIs) for data in support of Wilkinson's FAIR principles of data.The DOI system was originally developed to provide persistent linking for citable and traceable referencing to static datasets in scholarly literature.Nowadays, DOIs and other persistent identifiers can also be assigned to dynamic datasets and data products to recognise, acknowledge and reward the originators of the data.Metrics available for data citation allow data providers to demonstrate, justify, motivate and account for the value of the data they have collected.The South African Radio Astronomy Observatory (SARAO) has become interested in using dataset DOIs as a tool to accelerate its data visibility, discovery, usability, usage reporting and acknowledgement.A pilot project for the attribution of DOIs to SARAO's datasets in radio astronomy, fundamental astronomy and geodesy is currently underway.Objectives of this project are to develop user-friendly systems towards data discovery and visibility.This will ensure usability and acknowledgement via the DOI-linked citation, whilst also providing SARAO with a usage reporting tool.In addition, methods of linking our publications with our datasets are being devised.We present progress made with the pilot project.We also wish to create awareness of the advancement of open data and open science platforms in radio astronomy, fundamental astronomy and geodesy, both locally and internationally, by making use of DOIs as persistent identifiers.
NADIEM MAKARIM’S FIRST SPEECH AS THE MINISTER OF INDONESIA EDUCATION AND CULTURE: SPEECH ACT ANALYSIS

&lt;span&gt;The appointment of Nadiem Makarim as the new Minister of Education and Culture for Jokowi’s cabinet 2019-2024 term has been surprising. Although the background of the chosen Minister is not from educational sector as his predecessors, this digital venture entrepreneur’s presence in ministerial position brings hope on innovation and solutions that have never been explored before in Indonesia’s Educational system. Nadiem’s first speech in his inauguration as Minister of Education and Culture about his 100-day’s plans in attempts to improve Indonesia’s Education has drawn public attention. Hence, this study is aimed to investigate speech acts produced in Nadiem Makarim’s first speech as minister, especially their types and the implied meaning. Descriptive qualitative research design was employed in this study to get description of linguistics phenomenon. The data was the transcript of Nadiem Makarim’s speech. The data were analyzed based on theory of speech acts proposed by Searle (1976). The result shows to some extends which firstly commissive speech acts are dominantly occupied in the speech. Secondly, commissive speech acts are mostly realized as promise on his plan as the new Minister and assurance about his capability of being Minister with the promises he made even he does not come from Education field.&lt;/span&gt;
MARKETING APPROACHES TO PROMOTING BUSINESS EDUCATION BASED ON THE APPLICATION OF BEN HUNT's LADDER AND CJM

The article considers the possibility of improving marketing approaches to the promotion of business education by the example of the integration of the Ben Hunt Ladder and Customer Journey Map (CJM) techniques. The combination of two approaches (on the part of the consumer and the seller) makes it possible to increase the adaptive properties of marketing solutions to promote BO and maintain a balance between the values of consumers and the interests of sellers. Each stage of the client's passage is analyzed using metrics. This will allow you to update the maps of the client's path, track the dynamics and make adjustments to the promotion program. For the qualitative construction of such a map, data on the audience and its interaction with the site (from analytics systems), feedback indicators from graduates and listeners, information search queries, etc. are required. An educational organization will be able to increase the conversion of the site, expand the market for business education programs, increase loyalty and the number of listeners only if an information field for consumers is created that fully corresponds to their specific requests at each step of the Ben Hunt ladder. Combining two approaches in a single methodology and testing it on the example of business education of Plekhanov Russian University of Economics proved its ability to enhance the adaptive properties of marketing promotion tools. The materials of the article are of practical value for marketers in the field of business education.
Carrier Image Rearrangement to Enhance the Security Level of LSB Method of Data Steganography

Least significant bit method is one of the most popular methods of data steganography, this method is very simple and provides good values for MSE and PSNR. LSB method is not secure enough and the embedded secret message can be easily hacked by any person with any programming experience. To enhance the security level of LSB and to protect the secret message from being hacked and addition stage is recommended. This stage adds a necessary protection without affecting the quality parameters and the efficiency of LSB. The protection process is based on using a complex private key, this key is generated by sender depending on the block size and the selected image size and kept in secret to be used by the receiver, the private key can be changed or updated any time, when the needs arise.
An Evaluation Model of Online Autonomous English Learning Efficiency Using an Artificial Neural Network

&#x0D; Traditional classroom teaching model is constantly impacted by online education model. To enhance the online English learning efficiency of college students, one of the primary paths is to cultivate their autonomous learning ability. However, the existing research is limited to quantitative research. Therefore, this paper devises an evaluation model of online autonomous English learning efficiency based on artificial neural network. Firstly, the students participating in online English learning were classified, the evaluation indices of online autonomous English learning efficiency were determined and weighed, and the classification method was introduced for the evaluation results. Next, the improved particle swarm optimization (PSO) was adopted to optimize the traditional backpropagation neural network (BPNN). The improved BPNN was employed to evaluate the online autonomous English learning efficiency. The superiority of the improved model was demonstrated through experiments.
RSA CP-ABE with Access Tree Structure for Secure Revocable Scheme for Building Trust Model

Attribute-Based Encryption (ABE) can provide a technique of fine-grained control. The suggested Enhanced CP-ABE technique includes the use of a proxy to securely communicate the key to users. The Rivest Shamir Adleman (RSA) Algorithm secures outsourced big data in the cloud by allowing public key encryption to safeguard data transported across an unsecured network like the internet. During decryption, the proposed RSA CP-ABE with Access tree structure for Secure Revocable scheme for Building Trust model successfully identifies the users who decrypt the cipher messages. For Third Party auditing, the Dynamic Attribute Tree approach is proposed to encrypt data based on its attribute. The attributes, together with data and keys, are stored in a tree structure, which aids in improving the dynamic update of data in the cloud. Bilinear mapping is used by the Dynamic Attribute Tree approach to validate the integrity of the data without having to retrieve it from the cloud. The experimental results reveal that for a 256-bit key length, the proposed Scheme achieves encryption and decryption times of 1638 ms and 1102 ms, respectively.
Evaluation Model of College English Teaching Effect Based on Particle Swarm Algorithm and Support Vector Machine

Based on the principle of particle swarm algorithm and support vector machine, this article aims to improve the classification performance of college English teaching effect and explores the best support vector machine parameter optimization algorithm to promote college English teaching for the theory and application research of data analysis. First, the advantages and disadvantages of common support vector machine parameter selection methods such as grid search algorithm, gradient descent method, and swarm intelligence algorithm are studied. Secondly, this article has a detailed analysis and comparison of various other algorithms. Finally, the study analyzed the advantages and disadvantages of the quantum particle swarm algorithm, introduced the dual-center idea into the quantum particle swarm algorithm, and proposed an improved quantum particle swarm algorithm. Through simulation experiments, it is proved that the improved quantum particle swarm algorithm is more superior in optimizing the parameters of support vector machine. In general, this paper uses the PSO algorithm to simultaneously solve the SVM feature selection and parameter optimization problems and has achieved good results. Within the scope of the literature that the author has, there is still a lack of work in this area. Compared with the existing algorithms, the algorithm proposed in this paper has stronger feature selection ability and higher efficiency.
Prosthetics and Physiotherapy Center Data Analysis, Sana’a, 2015-2017

Introduction: The International Society for Prosthetics and Orthotics and the World Health Organization (WHO) have estimated that people needing prostheses or orthotics and related services represent 0.5% of the population in developing countries; and 30 million people in Africa, Asia, and Latin America require an estimated 180 000 rehabilitation professionals. In Yemen, the need for prosthesis and physiotherapy is increasing especially current protracted conflict and war. An estimated 28500 people have been left disabled most as a result of a blast, mine, or gunshot after the war erupted. Furthermore, the burden of road traffic injuries in term of disability is high. The Prosthetics and physiotherapy center (PPC) is the only public center providing rehabilitation services in Sana’a. We analyzed PPC data to describe the pattern of attendees and most common causes for disability. Methods: The Soft copy data in excel format for Prosthetics and physiotherapy Center (PPC) for the period from January 1st, 2015 to December 31st, 2017 was used. For each attendant the following variables: demographic data including age, gender, location and cause, site of disability, and services provided were collected by the system. After the data was cleaned, categorized and translated to English, it was imported to epi info program 7.2 to be analyzed. Results: The number of attendees was higher in 2016 and 2017 compared to 2015: 37.3%%, 34.1 vs. 28.6. the median age was 28 years (range: 1-110), and males were more affected (61%). 84% of attendees were from Sana’a governorate. The first three causes for attendance were neurological (32.4%), musculoskeletal (25.4%) and injuries (13.8%). Regarding the neurological causes, the most common diagnoses were: disc prolapse (37.9%), ischemic stroke (21.3%) and Cerebral palsy (15.2%). The highest three causes of musculoskeletal causes were flat foot (29.4%), joint stiffness (23.6%) and, muscle spasm (14.9%). For injuries, War injuries (32.4%), undetermined injuries (18.3%) and car accidents (17.1%) were the most common causes. The most affected body pat was lower limbs (43.5%) and 81% of attendees were given Physiotherapy. Conclusion: The PPC witness increase in number of attendees after the conflict arisen with a male predominance where war injuries constitute around a third of injuries that was the third cause for disability. The two other most common causes were neurological and musculoskeletal causes of disability. PPC Data entry system must be re-visited and re-categorized for diagnosis and body part affected. Quality of data should be improved e.g., through taking proper history and examination. Training of data clerks is a perquisite. PPC Governorate branches should be connected through a network with PPC at the central level to give clearer nationwide picture about the problems of disability and rehabilitation needs.
A Recognition Method Based on Speech Feature Parameters-English Teaching Practice

In order to improve the effect of English teaching practice, this paper constructs an intelligent English phonetic teaching system combined with the method of phonetic feature parameter recognition. Moreover, this paper simulates the self-mixing interference signal containing noise by establishing a simulation, analyzes the size of the noise and its various possibilities, and selects the EEMD method as the English speech denoising algorithm. In addition, with the support of an intelligent denoising algorithm, this paper implements an English intelligent teaching system based on the recognition algorithm of English speech feature parameters. Finally, this paper evaluates the teaching effect of the intelligent English speech feature recognition algorithm proposed in this paper and the intelligent teaching system of this paper by means of simulation teaching. The research shows that the English teaching system based on the intelligent speech feature recognition algorithm proposed in this paper has a good effect.
A Mechanism to Protect Decentralized Transactions Using Blockchain Technology

Blockchain innovation has turned into a functioning space of exploration and a mechanical choice for some organizations and modern networks. With its disseminated, decentralized, and trustless nature, blockchain can furnish organizations with new freedoms and advantages through expanded productivity, diminished expenses, upgraded uprightness and straightforwardness, better security, and further developed discernibility. Despite the fact that blockchain’s biggest applications have been in the online currency and banking area, secure transactions are carried out in a safe and authentic manner. This chapter proposes a thought of a secure exchange framework in which client information will be kept on a unified server, and exchange subtleties will be kept in a decentralized way, for example, in a blockchain. To do this, the instrument will require some encryption calculations and some number of miners so that the principal information on the miner ought to be constantly upheld for security reasons. By utilizing this application, security can be accomplished just as straightforwardness can. This chapter gives an outline of blockchain innovation; it unites all the key plan elements, attributes, and advantages of blockchain that make it an unrivaled and special innovation, and it presents the famous agreement conventions and scientific categorization of blockchain frameworks. Also, the chapter overviews blockchain-based applications across different areas, for example, in finance, protection, production network the executives, energy, publicity and media, and land and medical services.
"Hindrance" and "Love" Pay Attention to the Theme Poster Design of Alexithymia

In social life, people's emotional communication lies in communication. Loss of communication ability will make people's emotional indifference, and make more people suffer from the difficulties caused by alexithymia. Aexithymia is characterized by the inability to identify, distinguish, and express certain emotions of oneself or others. The emergence of this disease will affect people's lives. Therefore, through the design of the theme posters, more people can pay attention to alexithymia and call on people to increase emotional communication. So that people can live healthier lives in their social lives.
TEACHING WRITING SKILL THROUGH DIARY ACTIVITIES

This research aims to find out whether diary activities can improve students’ writing skill or not. This research is also quantitative research using quasi experimental research design with non-equivalent control group design. The population of this research was student of SMPN 1 Luwuk grade VIII. The sample of this research was 50 students, 25 students from class VIIIa (experimental class) and 25 students from class VIIIb (controlled class). The instrument of this research was test, where it was divided into pre-test and post-test. Treatment was given after giving pre-test in experimental class for about six meetings. Five aspects were assessed in order to find out the result. They are content, organization, vocabulary, language use and mechanism. The result of shows that the t-test of 73.9644 was higher than the t-table of 1.6772 with a significance level of 0.05 with 48 degrees of freedom. Therefore, the hypothesis of “Diary writing can improve the writing skills of the eighth grade students of SMPN 1 Luwuk” is accepted. In conclusion, diary activities can be used to improve students’ writing skill at SMPN 1 Luwuk significantly.
The Use of Recommender Systems in Formal Learning. A Systematic Literature Mapping

Recommender Systems provide users with content or products they are interested in. The main purpose of Recommender Systems is to find, among the vast amount of information that is available or advertised on the Internet, content that meets the user&amp;rsquo;s needs i.e., a product or content that satisfies his or her wishes. These systems are being used more and more in many of the services of our daily lives. In this paper, a systematic mapping review that explores the use of Rec- ommender Systems in formal learning stages is presented. The paper analyzes what kinds of items the Recommender Systems suggest, who the users that receive the recommendations are, what kinds of information the Recommender Systems use to carry out the recommendation process, the algorithms and techniques the Recommender Systems employ and, finally, how the Recommender Systems have been evaluated. The results obtained in the review will make it possible to iden- tify not only the current situation in this field but also some of the challenges that are still to be faced.
Sentiment analysis of Hinglish reviews using hybrid approaches

People are using social media to communicate their views and opinions on several topics, and it is becoming more popular as a medium of communication. Nowadays people are curious to hear about a film review before they watch it for a few days. A summary of all reviews for a film can help users make their decision by not wasting time reading all reviews. Several websites can have summery because of the rise of social media.As a result, the words sentiment analysis and text analysis developed their paths to becoming important computational linguistics and text analysis components. Opinions are articulated in India in recent years, using multi-lingual terms. In the field of sentiment analysis, this has become a new challenge. Machine learning methods, such as neural networks, have proven effective in this task; however, there is space for advancing to networks with greater accuracy.In this investigation,U. S. English, Hindi dialects, and datasets like Twitter sentiment corpus, Amazon Product Reviews, IMDB Movie reviews, and Several public opinion datasets have been used in this study. The proposed network may achieve the greatest known accuracy of 92.25 percent. As an outcome, the success of the suggested network can be duplicated in various fields.
Situation of scientific research in the sphere of electronic mapping in criminal proceedings

Considering everything, the accusation of a person is formed due to the available evidence in criminal proceedings, the scientific article pays attention to a new source of evidence - evidence that exists in electronic form.&#x0D; It is noted that today scientists call and define the evidence that exists in electronic form in different ways.&#x0D; The purpose of the article is to highlight the situation of scientific research in the sphere of electronic mapping in criminal proceedings, which will contribute to the further development of theoretical and practical aspects of the use of evidence that exists in electronic form.&#x0D; It draws our attention to the fact that the Commercial Procedural Code of Ukraine, the Code of Administrative Procedure of Ukraine, the Civil Procedure Code of Ukraine enshrine the concept of "electronic evidence" as a separate type of evidence on a par with material and written (documentary). However, there is no such evidence in the Criminal Procedure Code of Ukraine.&#x0D; In order to comprehensively cover the state of scientific research on this topic, the author, taking into account the most indicative positions of scientists, was divided into certain blocks by the names of evidence that exist in electronic form: electronic evidence; digital evidence (digital (electronic) evidence); electronic traces (electronic digital footprints, virtual footprints); electronic mapping.&#x0D; It is noted that it is inexpedient to enshrine the concept of "electronic footprints" in the Criminal Procedure Code of Ukraine, which will denote evidence that exists in electronic form.&#x0D; It is summarized that certain concepts of scientists regarding the name of the category of evidence that exist in electronic form, mainly have common features: "factual data or information system presented in digital (discrete) form or information network and recorded on any type of media" . However, the names of this category of evidence differ significantly, depending on the creative approach of the authors and the definition of certain distinctive features in the concepts of such types of evidence.&#x0D; The position of the authors on the title of such evidence "electronic mapping" and the introduction of appropriate amendments to the Criminal Procedure Code of Ukraine is supported.
Superdense Coding of Information in Quantum Computer in the Paired Bosons Representation

An alternative approach to superdense coding of information in quantum computing is proposed on the basis of Schwinger’s two-boson representation of angular momentum. Since the effective spin S = 2n-1 - ½ corresponds to the n-qubit system, this representation can be used in the quantum computing. Operators of the logical elements of the quantum circuit were found, performing superdense coding of information in the paired bosons representation. It is shown that for superdense coding of information, the results obtained in the spinor representation and in the representation of paired bosons coincide. For one-qubit systems, one of the two representations cannot be favored. In the case of n-qubit systems for n &gt;&gt; 1, the representation of paired bosons is probably more convenient for applications, since in this representation the explicit form of the Pauli operators X, Y, and Z does not depend on n.