Reviewerly/exHarmony huggingface dataset:
VOCATIONAL TRAINING OF FUTURE SPECIALISTS IN THE FIELD OF TOURISM BASED ON PERSONALITY QUALITIES

The current training system for specialists in the field of tourism is oriented towards the continuous change of society and tends to continuously increase the quality of provided services. One of the peculiarities of the specialties in the field of tourism is the impossibility to work within the limits of a narrow specialization, of major importance being the personality characteristics, which ensure maximum efficiency and success in the profession. The aim of the research is the study of the personality and professional qualities necessary for the future specialist in the field of tourism. The research methods applied in the study were: the method of scientific documentation, the questionnaire, the statistical-mathematical method. The main results of the research showed that students appreciate the most for the future profession the higher education in tourism, knowledge of technologies for organizing the tourism industry and the basics of psychology, which reflects the content of the vocational training process at the university. At the same time, the experience in the field is placed on the last positions, which reflects the low number of practical activities (performed only during the internship). Thus, students studying at the specialized faculty are aware of the importance and need for personal and professional qualities for the future professional activity and appreciate the importance of specialized knowledge and professional skills in becoming highly qualified specialists.
An Analysis Of Student’s Ability In Translating Thesis Abstract At Management Department In The Faculty Of Economy University Of Muhammadiyah Gresik

Non-English Department students in the end of the study will need to create an abstract in English. As the students who do not learn English extensively, they have difficulties in translating abstract from Indonesia to English. Therefore, in their thesis abstracts are usually found some errors. This research has an objective to find the common errors committed by the students in translating thesis abstract. In this research, there were three main steps to find the result, first, the researcher gathered the documents and listed the errors committed by the students, then compared the errors to find the common one and the last, analyzed the students translation to find the average ability of the students in translating thesis abstract. The result showed the common errors in translation were caused by the difference of language pattern of source language and target language.
Digital Solution for Combat Bribery and Justice Restoration System - Android Application

: The purpose of this project application named “BRIBERY VISION” is a step towards Anti-corruption and to make aware a citizen to complaint against any combat bribery issue faced. This android application based solution contains a feature to make a complaint against corruption. It has FIREBASE OTP authentication facility to authenticate the end user. On successful authentication, complaints can be taken and recorded on database(MYSQL),an unique complaint id is given for future references for complaint, if any multimedia proofs which are required to submit as proofs can be uploaded on the displaying intent, to store these FIREBASE STORAGE facility is used. At the same time administration department also had an application in which same technology stack is implemented and whole design is done through ANDROID STUDIO.
Designing Image Based Captcha using Machine Learning

Captchas, or Completely Automated Public Turing Tests to Tell Computers and Humans Apart, were created in response to programmers' ability to breach computer networks via computer attack programmes and bots. Because of its ease of development and use, the Text Captcha is the most well-known Captcha scheme. Hackers and programmers, on the other hand, have weakened the assumed security of Captchas, leaving websites vulnerable to assault. Text Captchas are still widely used since it is assumed that the attack speeds are moderate, typically two to five seconds for each image, and that this is not considered a significant concern. Style Area Captcha (SACaptcha) is a revolutionary image-based Captcha suggested in this paper, which relies on semantic data comprehension, pixel-level segmentation, and deep learning approaches. The suggested SACaptcha highlights the creation of image-based Captchas utilising deep learning techniques for boosting the security purpose, demonstrating that text Captchas are no longer secure.
Improved Image Denoising Methodology using Deep CNN Bilateral Filter Compared to Additional Methods

Image Denoising techniques are widely used to remove the noise from the images. Due to the ease of the bilateral filter, it is used very often to remove the noise from the images. In this paper, a novel approach has been proposed to enhanced bilateral filter in conjunction with CNN as a booster to eliminate Gaussian noise from Grey images. Studies reveal that standard CNN using a bilateral filter is the best technique to eliminate Gaussian noise from images along with high PSNR values. This paper also performs a comparative study of the various existing techniques for image denoising with the CNN technique and the applied Bilateral filter Method as a de facto to improve the results in terms of enhanced PSNR values. ECND Net (Enhanced CNN) applied to noisy images with standard deviation σ = 15 gives PSNR values up to 32.81 In comparison to this when both bilateral filter and deep CNN applied, in conjunction produces improved PSNR values up to 34.73 along with the equivalent standard deviation. The results in this work reveal better performance in terms of PSNR as compared to other methods. The test result proves that the bilateral filter Method along with CNN can improve the quality of restored images significantly better.
Sentiment Analysis for Rating Cooking Recipes Based on User’s Feedback Using Data Mining Techniques (Classification)

You will find number of recipe online. Some might be correctly posted some may not. In this research, we proposed a data mining based approach to detect food recipes comments. We will apply classification approach to mine data. Based on user’s review, system will rate the recipe. So it made easier for user to get correct recipe. This system is helpful for many users who look for recipes online. We will plan to trained food dishes datasets. An accurate and detection of comments could help to develop a perfect application for foodies. We proposed a data mining based approach to detect the user’s problems.
THE APPLICATION OF BASIC PRINCIPLES OF ONLINE LEARNING THROUGH GOOGLE SUITE FOR EDUCATION DURING COVID19 OUTBREAK

As education worldwide is now switching massively to a virtual class during the pandemic, a teacher needs to understand online learning's philosophy and principles to make sure the class can run effectively. This paper aims to examine the current situation of online learning after the Covid19 outbreak and discusses the implementation of basic concepts of online learningby utilizing Google Suite products such as Google Classroom, Google Meet, Google Doc, and Google FormsAdopting the idea of a library research approach, data of this study were taken entirely from the secondary data by first searching some relevant resources in the area of online learning. The primary database used for searching the relevant resources is the e-resources of the Indonesian national library. The databases here have been connected to various reputable international databases such as ProQuest, EbscoHost, SAGE, Sciencedirect, Taylor &amp; Francis, and many more. The data include those taken from e-books, journal papers, and scholarly articles. Taking data from these reputable resources is necessary to enhance the quality of the data collected. Among the basic concepts for effective online learning are that teachers or lecturers need to ensure the following principles considered when designing and implementing online learning: student-centered learning activities leading to self-regulated learning, interactivity, and strive for presence (in social, cognitive, and teaching aspects during learning).
The problem of artistic image creating in the process of a teacher artist training

The article deals with the problem of artistic image creating in the students’ creative works as a productive source of an artistic-pedagogical development of the future teacher artist. An artistic image is the basis of any art form and occupies the leading part in the artwork as it has a vast and significant esthetic value, demonstrating the result of an artist life experience display. The analysis of the theoretical sources, university training internship and the process of creative works fulfillment in different art forms brought to light the undervaluation of the necessity of scientifically grounded pedagogical grounds creation which will allow to the utmost prepare the students to the artistic image creating. This determines the relevance of the ways developing of students’ readiness to create an artistic image and its implementation in creative activities.
Multi-Hazard Early Warning System (MHEWS) Assessment Methodology for Schools

Schools play an important role in any community because children spend most of their time in schools for their education. Unfortunately, schools are exposed to natural hazards such as earthquakes, typhoons, and floods like other structures. However, implementing an effective Early Warning System (EWS) can help school administrators, occupants, and communities prepare against these hazards. EWS is an essential component of a disaster risk reduction management (DRRM) plan. Its purpose is to generate and disseminate timely and meaningful information of possible extreme events to administrators and eventually to the students. However, it is difficult to ascertain the quality of a school’s EWS to address any upcoming hazards. With this, the authors designed a workshop with toolkits to guide school administrators in evaluating their organizational structure within the context of DRR. The toolkits assessed the soft and hard measures of the school, particularly its DRRM and EWS. A method was developed to measure the EWS in schools based on the toolkits. A radar scoring system was used to measure the school’s key elements: Risk Knowledge, Monitoring and Warning Services, Dissemination and Communication, Response Capabilities. Indices for each element and EWS as a whole were obtained. Modes of warning and communication were ranked. In Lipa City’s case, the results showed that the schools have an average of 74.050 EWS index, meaning the EWS is of good quality but can still be improved. This method can be applied to other schools to assess their EWS.
FindThatQuote: A Question-Answering Web-based System to Locate Quotes using Deep Learning and Natural-Language Processing

The digital age gives us access to a multitude of both information and mediums in which we can interpret information. A majority of the time, many people find interpreting such information difficult as the medium may not be as user friendly as possible. This project has examined the inquiry of how one can identify specific information in a given text based on a question. This inquiry is intended to streamline one's ability to determine the relevance of a given text relative to his objective. The project has an overall 80% success rate given 10 articles with three questions asked per article. This success rate indicates that this project is likely applicable to those who are asking for content level questions within an article.
Membangun Kesiapan Belajar Membaca di Jenjang Prasekolah

Currently, the practice of learning to read formally is mostly done at the preschool level. Many experts oppose this, but there are also those who support it. In this paper, we will discuss how educational programs at the preschool level should prepare children to learn to read formally. The discussion includes the stages of reading ability, the concept of reading readiness, and the age of reading readiness.
Developing a New Task to Measure Speech Perception Ability: Is the Word Count Task Valid and Reliable?

To become an advanced second language listener, a learner needs to have good speech perception ability. Previous research that focused on measuring this ability often utilized integrated-skills tasks (e.g., repetition tasks and dictation tasks), but their validity and reliability are questionable because learners’ productive skills affect their task performance. This study attempted to develop an original discrete-point task called the word count task, in which learners count and report the number of words in blanks. To evaluate the task’s validity and reliability, two comparable studies with dictation tasks were conducted with university students in Japan. The second study, which was revised based on the first study, revealed that the reliability coefficient of the word count task expressed by Cronbach’s αreached .85, slightly exceeding the reliability of the dictation tasks. Moreover, correlations with dictation tasks were found to be significantly positive with moderate to strong relationships, meaning the word count task demonstrated sufficient criterion-related validity. Moreover, the listening strategy survey conducted to explore cognitive processes involved in the task showed that phonological processing is more dominant than meaning processing in the word count task. These findings seem to corroborate the applicability of the word count task to research and classroom assessment, but further research is necessary to reevaluate its validity using other methods mentioned in this study.
Application of the Rational Unified Process Method in Web Service Development Payment System Integration with Multibank Virtual Accounts

The Payment System is a series of interconnected components consisting of rules, institutions, and procedures used for money transactions in fulfilling the obligations of economic activities. The Duta Bangsa University of Surakarta is a case study in this research where the student payment system is still a billing system. The faculty finance department gives bills tuition fees to students one by one. Moreover, it determines the bank used for payments. It resulted in quite many queues when filling out the study plan card (KRS) and exams. This research aims to produce a web service application and standardization with good performance in the payment process at Duta Bangsa University through virtual accounts from various banks and payment channels. The method used to achieve the authors' goals in this study is the Rational Unified Process (RUP) method. The research result is a web service application that can make invoices, inquiries, payments, and reversals of various bank payment channels. The User Acceptance Test results show a very agreeable value of 94.17%, so that the web service is feasible for the production version application. While testing the response time to measure performance for 7 (seven) days, the average response time was 0.49809 seconds.
The Implementation of Directed Reading Thinking Activity (DRTA) to Improve Students’ Reading Comprehension.

The goal of this research is to look into the use of Directed Reading Thinking Activity to improve students' reading comprehension in the tenth grade at SMAN 1 Tanete Riaja. The following research questions were addressed in this study: 1) How does the implementation of Directed Reading Thinking Activity (henceforth DRTA) improve students' reading comprehension?2) What are the students' perceptions toward the DRTA strategy's implementation? This study employs a quasi-experimental design with both an experimental and a control group. The experimental class was taught using the DRTA strategy, while the control class was taught using the conventional strategy. The participants in this study were chosen at random and were divided into two classes: class X-1, which consisted of 32 students as the experimental class, and class X-2, which consisted of 30 students as the control class. The data was gathered through a reading comprehension test and a questionnaire. According to the findings of this study, using the DRTA method increases students' scores more than using the conventional strategy. The experimental class has a mean score of 76.40, while the control class has a score of 50.3. It indicates that the DRTA strategy significantly improves students' reading comprehension and makes a positive contribution to their cognitive development. Furthermore, the results of the questionnaire show that the majority of students respond positively to the implementation of the DRTA strategy in the classroom.
Application of Herzegovinian dolomite as dimension stone

In the first part of this paper the occurrence of dolomite in B&H karst, as well as active and potential dolomite deposits for dimension stone with different trade names ("Rujan" , "San", "Gradac") are presented, with the available results of their testing.The final section of the paper gives a brief historical overview of the applications of dolomite as dimension stone in Herzegovina, which is attested by many tombstones, but also some religious and residential buildings.However, with its beauty of textures and colors and quality in workmanship, in the last several decades it has been widely used in the interior and exterior cladding of numerous buildings in Herzegovina, as well as in several regional architectural projects along the Adriatic coast, in the Republic of Croatia and Republic of Montenegro.The final section of the paper provides relevant conclusions related to the application of dolomite as dimension stone.
Electronic Journal Database Usage Factors by the educators of Dr. Soetomo

Background of the study: The availability of information in libraries such as e-books and e-journals are scientific works that should belong to academic libraries. Within a year, the electronic journal database consortium program that was subscribed and provided by the Unitomo library was still underutilized. Purpose: This study aims to analyze the policy of strengthening the role of libraries in supporting scientific communication at IAIN Curup. Method: This study uses a quantitative method with a questionnaire survey using the smart PLS program. This study uses the TAM model with external variables. Findings: The results showed that the coefficient of determination (R-squared) of the independent variable over the dependent variable Y (using electronic journal database as large as 0.701 or in a percentage of 70.1%) was influenced by l 'self-efficacy, complexity, time constraints and reasons for promotion. While the results of the simultaneous significance test have a positive and significant influence on the independent variables of the dependent variable, namely the use of the electronic journal database (Y) can be influenced simultaneously or together and significantly the complexity of personal effectiveness variables. Conclusion: time limits and reasons for promotion together. Influences the level of use of the electronic journal database by the teaching staff of Dr. Soetomo.
POTENTIAL OF CLOUD TECHNOLOGIES FOR THE PROBLEMS OF AUTOMATED DESIGN SYSTEMS IN THE CONDITIONS OF DIGITALIZATION OF EDUCATION

The issue of formation of the cloud environment of educational institutions is recognized as a priority in the development of pedagogical technologies and is actively discussed by the educational and scientific community of various fields of education and research. The relevance of the use of new information technologies in education is that they not only perform the functions of tools used to solve certain pedagogical problems, but also provide qualitatively new learning opportunities, skills of independent learning, contribute to the creation of new forms of learning and education. Changes in public life require the development of new innovative ways of learning, the use of pedagogical technologies taking into account the specifics of individual development of the modern applicant, creative approach to applied tasks, formation of relevant competencies, ability to design, model not only in professional life but also in everyday life. Cloud technologies are a unique opportunity to create a new educational space with an appropriate information base. The purpose of this article is to analyze the features of the introduction of cloud technologies, in particular computer-aided design systems in the educational environment of the educational institution as a key driver of digital transformation of education. The article highlights the possibilities of introducing cloud technologies implemented in the cloud environment of educational institutions in the educational process, identifies their impact on the learning component. The analysis and assessment of the experience of using certain services and components of the cloud environment in the process of training future teachers in educational institutions.
The Exploration of New Multidimensional Reading Methode

Through a special combination of the full-text information and the graphic vision to design a valuable way of reading mode for electronic books.With the progress of current society, the people's reading modes and the medium of reading have been changed gradually at the some time, which brings a series of changes in the way of reading modes.Therefore, It is particularly important and necessary for people to seek a new way of reading, which help people to recognize quickly the content of text, the structures of text, and the internal regulation of the text.This paper expounds the necessity of optimizing the visual and the multi-dimensional way mods, And then, the paper discusses several advantages of the multi-dimensional reading modes step by step.This new way of reading way can help readers to recognize immediately the structure and logic of all kinds of books, which can help to improve efficiently the reading speed.It turns two dimensional text into three dimensional text.Through three-dimensional images, people can recognize quickly the internal relationship of complex texts, such as the plot development of the novel, the changes of different geographical information positions, and the different system and network of the literature knowledge.
A Robust Secure Self-Certified Concurrent Signature Scheme from Bilinear Pairings

The idea of concurrent signature schemes is that two parties produce two respective ambiguous signatures that are concurrently bound to their corresponding signatories only while either of the party releases a keystone.The main construct is that both parties need to reach a consensus on the true fairness in mutually exchanging the signatures, and, moreover, the protocols assume that there is no collusion between a trusted third party and any of the parties.However, by collaborating over business interests with the participants as strategic partners, the trusted third party may obtain access to sensitive key data held in escrow, leading them to the collusion attack associated with malicious intentions.To circumvent the misbehavior among the participating individuals, an identity authentication process can be used prior to exchanging or having access to any confidential information.In this paper, we propose a self-certified concurrent signature from bilinear pairings as an alternative solution to strengthen the security level for solving the fair exchange problem.Apart from resisting to the collusion attack, the proposed scheme provides the advanced security properties to prevent from the message substitution, the identity forgery and impersonation, and other generic attacks in an increasingly insecure network environment.