Reviewerly/exHarmony huggingface dataset:
COMMUNICATION OF TEACHERS AND DEAF STUDENTS IN INTRODUCING SIGN LANGUAGE IN THE EXTRAORDINARY SCHOOL PERTIWI PONOROGO

Deafness is a disorder that occurs in the human sense of hearing. Loss of hearing function causes deaf people unable to hear and communicate verbally so that they experience delays in language development. Sign language is used by deaf people as a communication language. Sign language needs to be introduced by teachers of SLB Pertiwi Ponorogo to students with hearing impairments in order to get an agreement on the meaning of the signs used during communication. This research uses a descriptive type of research with a qualitative approach. The results of this study indicate the following: first, the communication carried out by the teacher in introducing sign language uses total communication by means of oral, written, pictures, signs, spelling, and lip-reading. Second, students gave a positive response indicated by a change in attitude following the cues displayed by the teacher. Students give negative responses indicated by emotional changes such as expressions of anger, confusion, silence, and even rejection from students. Third, the communication position in this study lies in the communicator, message, and communicant, namely the communication process barriers, physical barriers, and semantic barriers.
Trainable generator of educational content

&lt;p&gt;As the main problem of the research, the possibility of creating a universal educational platform that combines the possibilities of an online generation of educational content with the interface of the training process itself was considered. The methodology of the educational platform has been developed, in which the mass generation of content is carried out at random, based on simulation models of educational objects. A matrix interface is used, which allows performing custom operations by entering a sequence of typical operators. The system forms a reference base of operators, replenishing it from user solutions, which makes it possible to train and improve the system in order to provide methodological support to student users. An active demo layout of an educational content generator was created and tested, using the example of a specific problem from school mathematics. All methodological options function in the layout. There are three interface options: administrative, training and control. It was concluded that the approach based on the simulation of educational objects makes it possible to create a unified algorithmic platform that combines the functions of content generation with educational training. The system contains a unique option to teach yourself based on its interaction with students.&lt;/p&gt;
FACE MASK DETECTION USING PYTHON AND DEEP LEARNING

A software programme that can detect whether or not a person is wearing a mask and can be used with a CCTV camera. It's a computer vision technology that's commonly utilised in public places including theatres, malls, parking lots, and schools. Face has been used as a public and personal health indicator during the COVID-19 epidemic. To avoid the cause of covid-19, it is required to use a face mask. The camera can recognise whether a person is wearing a face mask or not using python and deep learning, and if he isn't, he won't be able to use public areas. As a result, the software will recognise whether or not the user is wearing a face mask, preventing the spread of covid-19.
Integrity Verification &amp; Temper Detection of English Documents u si ng Hybrid Structural Component a nd Word Length

The zero text watermarking is a practical method for protecting the copyright from being tampered and copied. This paper aim to obtain zero watermarking technique with Hybrid Structural component and word length (HSW) where contains two phases watermark embedding and extraction. From the data owner the plain text is obtained and the watermark is generated. It is based on using the text characteristics. Certifying authority is generated as a group from text and watermark and recorded for tamper detection in file by pattern matching. Index terms: tamper detection, watermarking, and structural components.
Cluster Analysis on Dengue Incidence and Weather Data Using K-Medoids and Fuzzy C-Means Clustering Algorithms (Case Study: Spread of Dengue in the DKI Jakarta Province)

In Indonesia, Dengue incidence tends to increase every year but has been fluctuating in recent years. The potential for Dengue outbreaks in DKI Jakarta, the capital city, deserves serious attention. Weather factors are suspected of being associated with the incidence of Dengue in Indonesia. This research used weather and Dengue incidence data for five regions of DKI Jakarta, Indonesia, from December 30, 2008, to January 2, 2017. The study used a clustering approach on time-series and non-time-series data using K-Medoids and Fuzzy C-Means Clustering. The clustering results for the non-time-series data showed a positive correlation between the number of Dengue incidents and both average relative humidity and amount of rainfall. However, Dengue incidence and average temperature were negatively correlated. Moreover, the clustering implementation on the time-series data showed that rainfall patterns most closely resembled those of Dengue incidence. Therefore, rainfall can be used to estimate Dengue incidence. Both results suggest that the government could utilize weather data to predict possible spikes in DHF incidence, especially when entering the rainy season and alert the public to greater probability of a Dengue outbreak.
Implications of Accounting and Tax Treatment of Cryptocurrencies

The digital revolution is changing everyday business and creating new technologies and tools that allow companies flexibility and simplicity in doing business and increase business performance. The digital age creates new concepts that also affect accounting processing, which presents new challenges in accounting practice. One of the most significant changes and innovations within accounting processing and the financial industry is the emergence of cryptocurrencies that create a completely new financial business concept. Cryptocurrency is the equivalent of electronic money and is completely digital. Although cryptocurrencies and transactions with cryptocurrencies are frequent appearances in today’s modern business, accounting and tax treatment in the Republic of Croatia and other European Union countries but also beyond is not fully established and adjusted for doing business with cryptocurrencies, which requires strict regulation and adjustment operations with cryptocurrencies. As cryptocurrencies become more popular, so do taxes on cryptocurrencies that vary from country to country. Cryptocurrencies are associated with risks such as money laundering, terrorist financing, and tax evasion, which require the establishment of a regulatory body and the implementation and application of regulations in the function of the transparent business with cryptocurrencies. This paper aims to investigate the characteristics of cryptocurrencies and their financial, accounting, and tax treatment.&#x0D; This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
A Rating Prediction Recommendation Model Combined with the Optimizing Allocation for Information Granularity of Attributes

In recent years, graph neural networks (GNNS) have been demonstrated to be a powerful way to learn graph data. The existing recommender systems based on the implicit factor models mainly use the interactive information between users and items for training and learning. A user–item graph, a user–attribute graph, and an item–attribute graph are constructed according to the interactions between users and items. The latent factors of users and items can be learned in these graph structure data. There are many methods for learning the latent factors of users and items. Still, they do not fully consider the influence of node attribute information on the representation of the latent factors of users and items. We propose a rating prediction recommendation model, short for LNNSR, utilizing the level of information granularity allocated on each attribute by developing a granular neural network. The different granularity distribution proportion weights of each attribute can be learned in the granular neural network. The learned granularity allocation proportion weights are integrated into the latent factor representation of users and items. Thus, we can capture user-embedding representations and item-embedding representations more accurately, and it can also provide a reasonable explanation for the recommendation results. Finally, we concatenate the user latent factor-embedding and the item latent factor-embedding and then feed it into a multi-layer perceptron for rating prediction. Extensive experiments on two real-world datasets demonstrate the effectiveness of the proposed framework.
Improving the Competency of Vocational School Teachers through Online Training

Improving the competency of teachers at a vocational school (SMK) in Bandung carried out by lecturers in the Chemical Engineering Department of Politeknik Negeri Bandung is the main goal of this study.This also answers the hopes and proposal of the Principal of this SMK to continue cooperation in improving SMK teachers which was conducted in 2020 by lecturers in Politeknik Negeri Bandung (Polban).The activity to increase the competency of SMKN teachers in 2021 focuses on activities to increase the competency in wastewater treatment operation and matters related to the dangers of the operation.This topic has been chosen because currently the practical activities on wastewater treatment has not been carried out at this SMK.This competence improving activity could enrich the knowledge of SMK teachers related to wastewater treatment and then the knowledge could be transferred to the students and to the existing laboratory assistants at this SMK.All participants in this online training are in the competent category because they passed the post-test of the four modules and obtained a minimum score of 70 for each module.The Laboratory of Industrial Waste and Water Treatment in the Chemical Engineering Department Polban has complete industrial wastewater treatment equipment, making it possible to create a new Chemical Engineering Scheme for the Competency Test Place (TUK) possessed by this Department.Thus by conducting the training for the SMK teachers, it is not only beneficial for the teachers of SMK Bandung but also beneficial for the TUK of the Department of Chemical Engineering Polban by preparing the new Wastewater Treatment Scheme.
Effects of Background Context for Objects in Photographic Targets on Remote Viewing Performance

Photographic images of physical objects are common targets in remote viewing projects today. This exploratory experiment investigated whether the background within which the object is positioned may impact the accuracy of remote viewing. Twelve experienced remote viewers each completed 30 open-response, triple-blind remote viewing trials, requiring them to utilize extrasensory perception to describe the photographic image they would receive via email a few days later. Investigators created a photographic target pool of complex objects set within one of three background conditions: 1) White: devoid of information 2) Normal: a setting in which the object would typically be found. 3) Unusual: a setting which the object would typically not be found. Participants completed a total of 360 in-depth transcripts consisting of 8460 written descriptors and 1472 sketches. Two methods were used to analyze the transcripts for accuracy, the traditional sum of ranks matching procedure and an exploratory method involving the scoring of each item and sketch by both the participant and an independent judge. These two methods revealed significant but opposite differences for photographic targets of objects set within white backgrounds compared to the other two backgrounds. Better scores for targets with a white background were found for the traditional matching procedure, but worse scores were found for this background when each item and sketch were rated individually. In addition, the individual items and sketches were found to describe the target object more frequently than the background when normal or unusual backgrounds were present. Results suggest that object background can affect the outcome of remote viewing sessions, although the effect may depend on the scoring method applied. &#x0D; Keywords: Remote viewing, target material, extrasensory perception, anomalous cognition, photographic target material.
Rhetorical Analysis of Joe Biden’s Inauguration Address

The inaugural speeches mark the beginning of a new term in office for a community or government leader, such as the president. This reaction must persuade the people to believe in the government and the programs will be enacted. This research aims at finding the rhetorical appeals of President Joe Biden's inaugural address on his inauguration as the 46th President of the United States. The research is based on Aristotle's theory called a rhetorical theory. The resercher employs descriptive qualitative as a methodology to analyze the data from the spoken utterances of the speech. The result shows that Joe Biden uses all of the Aristotelian rhetoric strategies in his inaugural address, which are: ethos, pathos, and logos. The data shows that Joe Biden uses pathos as 55% of his speech, followed by ethos 37%, and logos 8%.. Joe Biden skillfully used and implied Aristotle's rhetorical theory in his inauguration address to engage and build trust with the American people. From the analysis, the researcher has concluded that a good speaker can use all of the three elements of the rhetorical theory and imply them in the speech or writing.
Necessary pedagogical innovations: university internationalization initiatives and virtual environments in front of COVID-19

The objective of this writing is to share innovative initiatives of internationalization at home (I at H) emerged at the Universidad Autónoma del Estado de Morelos, facing COVID 19, through technologies at the service of internationalization of universities "internationatics” (Juárez-Salomo, 2012) as the main resource of management and pedagogical strengthening of multinational institutions, emphasizing the “all of us”, in front of a common cause: find ways to recover from the health emergency of COVID 19. The shared methodology includes the results of a research conducted among teachers from eight Latin American countries; some pedagogical strategies considering cognitive, behavioral, and emotional components; and provide examples of initiatives carried out, including the results of international collaborations achieved. Conceiving the internationalization not only as an indicator of quality of higher education institutions, but also as a strategy to provide academic alternatives aimed at addressing planetary challenges, it seeks to contribute punctually to the development of virtual environments for the training of professionals committed to the planet, aware of the diversity of thoughts, creative and flexible in their actions, adopting proactive initiatives, especially in the focus of the Sustainable Development Goals (UNESCO, 2017).
Breast FNA cytology reporting using new proposed IAC Yokohama reporting system: A single institution retrospective study

Introduction: Breast lumps are a common presenting complaint in general practice.Breast cancers are the most common cancers diagnosed over the world along with unfortunate rise in number of mortality due to them.Proper diagnostic evaluation is necessary.The fine needle aspiration cytology (FNAC) examination of breast lumps is important as it can be used either to differentiate between benign and malignant breast lesion or as an adjunct to core needle biopsy.In 2016 the IAC Yokohama five category reporting system was proposed to allow uniform reporting of breast FNA aspirates.Aim: The current study aims to reclassify breast lump aspirates using the proposed Yokohama reporting system and also to assess the risk of malignancy of each category.Materials and Methods: This single institution retrospective study included female breast lump FNAC cases over 4 year period.Clinical details of included cases were recorded from archives.Cytology slides were reevaluated as per new reporting system and the histopathology correlation was done where available.Statistical analysis was performed.Risk of malignancy of each category was calculated.Results: 649 breast FNAC cases were studied of average age 36.97 years.Maximum cases were in benign category followed by malignant category.Fibroadenoma was most common benign diagnosis.The risk of malignancy was 3.17% in benign category and 95.45% in suspicious for malignancy category.The diagnostic accuracy in current study was 97.83%.Conclusion: Use of a standard categorical cytology reporting system will give improved reports for better patient care.
Shadow IT Behavior of Financial Executives in Germany and Italy as an Antecedent to Internal Data Security Breaches

Data security breaches have been consistentlyidentified in literature as significant, negative events. While most of the related research focuses on externally initiated breaches, far fewer studies provide clarity related to internally initiated breaches. The risk of internal breaches may be dramatically increased by shadow information technology (IT). Our study examines German and Italian financial executives' decisions to engage in shadow IT in combination with two potential mitigation techniques (severity of sanctions in violation of IT policy and outcome effect related to breach risk). While Italian executives act as predicted, German executives engage in a different decision-making process whereby a self-service business culture brought on by perceived increased IT capabilities supersedes the level of cybersecurity awareness and a strong IT usage policy.Results also suggest an outcome effect favoring increased likelihood of breaches may lessen the likelihood of shadow IT usage.Our study adds an international component to existing data security breach and shadow IT research, while also contributing to the IT usage policy, neutralization theory, dynamic capabilities, outcome effect, and selfservice literatures.1 Germany and Italy represent two symbolic archetypes of Northern and Southern European cultures, respectively (Del Junco and Brás-dos-Santos 2009).We examine financial executives,
Instrumental Competencies Оf Higher Education Seekers As A Factor Оf Professional Training

Abstract. The article is carried out an analysis of the competence-based approach, which is characterized by the broader boundaries of research and development, because it reflects best practices, takes into account the future requirements of the labor markets. Ways of targeting the learning process on the development of student's personality, the formation of its instrumental competencies are examined in the article. For example, the study of "General course of Physics" attempts to explain the formation of competencies of future teachers. At the present stage the national education system is one of the priorities of our country development strategy The democratic basis of the reforms has identified the degree of higher education development, which enables to detect the degree of the autonomy of the higher educational institutions, educational and personnel policy, implement the system of education in new stages of national education development that has the aim to train new formation specialists who know how to apply the knowledge and technologies in different spheres of activity motivated by the constant self-education. Competence approach requires the inculcating and developing in students a set of core competencies that define its successful adaptation in society. In addition competencies include the purely professional knowledge and skills that characterize the qualification of such qualities as initiative, cooperation, the ability to work in a group, communication skills, ability to learn, evaluate, think logically, and use the information. Competence is manifested in student-oriented activities. So the manifestation of competence is assessed on the basis of the total graduate`s skills formedness (that integratively reflects this competence) and its behavioral (psychological) reactions that are manifested in a variety of situations. Availability of the prevailing instrumental competencies of future teachers is a major factor in their professional training.&#x0D; Keywords: competence approach, competency, competence, instrumental competencies.
THE EFFECT OF LEADERSHIP AND ORGANIZATIONAL COMMITMENT TO ORGANIZATIONAL CITIZENSHIP BEHAVIOR AND WORK ACHIEVEMENT

This study aims to examine the effect of leadership and organizational commitment on organizational citizenship behavior (OCB) and work performance in civil servants of sports coach formations in the Bali Provincial Government.The population in this study were all civil servants who were appointed to the sports coach formation in the Bali Provincial Government, totaling 32 people.Data relating to research variables were collected using a questionnaire that was distributed to all respondents and filled in by the respondents themselves based on the respondents' perceptions.Based on the instrument test performed, it was proven that all statement items in the questionnaire proved valid and reliable.This study uses Structural Equation Modeling (SEM) analysis.The results of this study indicate that: 1) leadership has a positive and significant effect on OCB, 2) organizational commitment has a negative and insignificant effect on OCB, 3) leadership has a positive and significant effect on work performance, 4) Organizational commitment has a positive and insignificant effect on achievement.work, 5) OCB has a positive and significant effect on work performance.
Research and Development Web-Based Virtual Military Museum as a Tool for Edu-Tourism from Home During the Covid-19 Pandemic

The Indonesian government has implemented a resilience policy against the Covid-19 pandemic through the learning from home (belajar dari rumah/BDR) program and the fulfillment of the demands for the Guidelines for Cleanliness, Health, Safety, and Environmental Sustainability (CHSE) aimed at preventing the spread and infection of Covid-19 is no exception at the museum.The Brawijaya Museum has a dual role as an educational tourist destination site as well as a military site that stores a number of artifacts, rare book collection, and archives of the Indonesian National Army (Tentara Nasional Indonesia Angkatan Darat/TNI AD) histories related to service to the Republic of Indonesia.Therefore, this type of R&D research with a qualitative approach was carried out to create virtual content for the Brawijaya Museum based on augmented reality and virtual reality (AR/VR) as a means of distance learning during the Covid-19 pandemic.After the development of the virtual content of the Brawijaya Museum, a test of the effectiveness of the content was also carried out in providing experiences and feelings as if they were psychologically present (telepresence) from the perspective of museum managers and students.The Brawijaya Virtual Museum can be a winwin solution strategy for site managers and edu-tourism tourists where it is possible to travel and learn from home through virtual reality and augmented reality content regarding architecture and also the collections of the Brawijaya Museum without having to visit directly during the Covid-19 pandemic.