Reviewerly/exHarmony huggingface dataset:
Integrating User Reviews and Issue Reports of Mobile Apps for Change Requests Detection

There is abundance of mobile Apps released continuously on the App store, where developers are required to maintain these Apps to attain user satisfaction.Developers should consider all user feedback, as they are important resources for planning of next App's release.In order to consider user feedback, many platforms host mobile Apps and allow users to submit their opinions, such as: Google Play App store and Github Open-Source Development platform.The automated consolidation of user feedback from such platforms, and transforming it into a list of change requests would result in satisfying users across different platforms, and their analysis helps developer to reduce cost of time and effort to plan for the new release of the mobile App.In this paper, a framework is proposed which integrates user feedback from different sources and analyzes them using a state-of-art user reviews analysis tool to obtain a list of change requests, such list is further examined for similarity to remove duplicates and prioritize the identified change requests.A prototype is designed to implement the proposed framework and applied to AntennaPod.Consequently, the framework experimentation results show that reviews and issue reports can be analyzed almost equally despite the difference of text's nature.
Transfer Learning for Closed Domain Question Answering in COVID-19

COVID-19 has been a popular issue around 2019 until today.Recently, there has been a lot of research being conducted to utilize a big amount of data discussing about COVID-19.In this work, we conduct a closed domain question answering (CDQA) task in COVID-19 using transfer learning technique.The transfer learning technique is adopted because a large benchmark for question answering about COVID-19 is still unavailable.Therefore, rich knowledge learned from a large benchmark of open domain QA are utilized using transfer learning to improve the performance of our CDQA system.We use retriever-reader framework for our CDQA system, and propose to use Sequential Dependence Model (SDM) as our retriever component to enhance the effectiveness of the system.Our result shows that the use of SDM retriever can improve the F-1 score of the state-of-the-art baseline CDQA system using BM25 and TF-IDF+cosine similarity retriever by 3,26% and 32,62%, respectively.The optimal parameter settings for our CDQA system are found to be as follows: using 20 top-ranked documents as the retriever's output, five sentences as the passage length, and BERT-Large-Uncased model as the reader.In this optimal parameter setting, SDM retriever can improve the F-1 score of the state-of-the-art baseline CDQA system using BM25 by 5,06 % and TF-IDF+cosine similarity retriever by 24,94 %.Our last experiment then confirms the merit of using transfer learning, since our best-performing model (double fine-tune SQuAD and COVID-QA) is shown to gain eight times higher accuracy than the baseline method without using transfer learning.Further fine-tuning the transfer learning model using closed domain dataset (COVID-QA) can increase the accuracy of the transfer learning model that only fine-tuning with SQuAD by 27, 26%.
An Enhanced Face Detection System using A Novel FIS-CDNN Classifier

A computer application that can detect, track, identify or verify human faces as of an image or video capture utilizing a digital camera is Face Recognition (FR).Few challenges like low-resolution images, aging, uncontrolled pose, illumination changes, and poor lighting conditions are not tackled even though huge advancement has been created in the Face Detection and Recognition (FDR) domain.Utilizing the Modified Tiny Face Detection (MTFD) and Fuzzy Interference System -Convolutional Deep Neural Network (FIS-CDNN) classifier, a Face Recognition System (FRS) was proposed here to tackle all complications.Primarily, Gamma correction -Based Histogram Equalization (GBHE) technique is utilized to augment the image's input in the pre-processing phase.The MTFD was employed to detect the face.Following that, the features are extracted.The Improved Chehra (IC) landmark extraction method was employed to retrieve the landmark features.And finally, the Geometric Features (GFs) are extracted.Later, the Gaussian -centered Spider Monkey Optimization (GSMO) Algorithm was employed to choose the vital features.To recognizing the face, the chosen features are fed into the FIS-CDNN classifier.When analogized to the prevailing models, it is concluded via the experiential outcomes that higher accuracy was attained by the proposed method.
Geochemical zonality of ore lode of Novo-Uchaly VMS deposit (South Urals, Russia)

Novo-Uchaly essentially zinc (CZn&gt;&gt;CCu) VMS deposit is one of the largest in the Urals. Currently, it is under additional exploration by fans of underground drilling wells and mine workings. The paper describes a novel geochemical zonation of the sulphide deposit (the example of Cu, Zn, Au and In), discusses conditions of formation and factors that caused its complication. We carried geostatistical calculations in addition to the analysis of the zonation of the deposit. The ore deposit is represented by a large subvertical ribbon of a whimsical structure, inclined southward, which is confined to the wing of an inverted large anticlinal fold, cut by mafic dikes and characterized by a complex, combined geochemical zonality. The distribution of Cu and Zn is generally asymmetric. Copper-rich ores tend to the northern wedge of the deposit, and to the south, along its declination, the concentration of Zn increases, while Cu decreases, and the middle part of the deposit is represented by zinc-rich ores. In the section, copper maxima are more often noted in the footwall side of the deposit, and zinc — in the hanging side. The intrusion of a thick gabbro-diorite dyke and subsequent dynamometamorphism, including hydrothermal solutions, caused the redeposition of more mobile Cu in the near-contact zones of the dyke and areas of swell of the ore body thickness. Within the swell of the thickness of the deposit, in the hinge of the fold of the 2nd order, rich copper-zinc ores occur, which are enriched by Zn, Pb, Au, Ag, In, Ba and some other rare elements. The similarity of their behavior in ores is confirmed by their high positive pair correlation. In the ore body, the distribution patterns of gold and indium are rather symmetrical. High concentrations of gold and indium are confined to a sharp bend in the ore body, and small indium maxima occur in the footwall of the ore lode. As a result of dynamometamorphism, the deposit acquired a whimsical structure with the formation of thick swells; ores were significantly recrystallized, and locally enriched by non-ferrous and precious metals.
Framing Face-Saving Behavior on Facebook

The majority of the previous research suggested that the significance of face on social communication is both prevalent and powerful. Every communication channel has the potential to risk the harmony between speakers and hearers. As a result, based on the concept of politeness strategies, this study explores face-saving behavior employed by Facebook users. By examining the different situations of interactions, the paper attempts to describe and analyze the use of politeness strategies on Facebook. The results found that all speakers employed all four politeness strategies proposed by Brown and Levinson. The use of positive strategies with 36.67 % that was in high-rated population, and followed by bald on record politeness strategy without redressive action that took 28.89 %. Negative politeness was used 20 % in this platform channel. The last strategy is an indirect strategy called bald off-record that took 14.44 %. In conclusion, politeness strategy plays a significant role as a strategy in building a good interaction without violence the communication and can save the speaker’s face as well.
ON SITE PROCESSING OF VIDEO STREAM FOR MAPPING TRAFFIC PARAMETERS

Traffic surveillance provides crucial data for the operation of intelligent transportation systems. The growing number of cameras in the transport system poses a problem for the efficient processing of surveillance data. Processing of video data for extracting traffic parameters is usually done using image processing methods and requires substantial processing resources. An alternative way is to transform the video stream and map the traffic parameters using the obtained transform coefficients. Spatiotemporal wavelet transform of the video stream contents, using filter banks, is proposed for mapping traffic parameters. Performed tests prove good resilience to illumination changes of road scenes. Mapping errors are smaller than in the case of the commonly used video detectors at sites on multilane roads with low to moderate traffic load.
To the Issue of the Complex of Historical Sources of the mid–XIX – early XX centuries (On the Example of Ivan Filippovich Cherkasov' Family)

Using the example of the family of I.F.Cherkasov (1856Cherkasov ( -1900)), the article considers a set of available historical sources of a genealogical nature.In methodological terms, the work is based on the generalization of various facts from the family history of Ivan Filippovich Cherkasov, which is why the work is a narrative with a large number of events.This enabled the author to create a holistic picture of a family's life in the Keret village.Besides this, the identification of historical sources made it possible to systematize a set of available archival materials for further genealogical research both in the Keret village and in the whole territory of the Republic of Karelia (Russian Federation).The author concludes that historical sources on the Keret village of the mid-XIX -early XX centuries are located in two regional archives of the Russian Federation (the State Archive of the Arkhangelsk Region and the National Archive of the Republic of Karelia).Among these sources there are materials of revisions (the 10th revision -1858), spiritual murals from confessional books, metrics from metric books, as well as materials of the First All-Russian Population Census of 1897.Despite the incompleteness of information from the metric books, in general, thanks to information from other listed sources, according to the author, it is possible to create a fairly complete picture of the composition of the family under study.In these documents, you can find not only information about birth, marriage and death, but also about the class origin, literacy and basic occupations of every single individual.Thus, the author summarizes that the researcher has at his disposal a sufficient set of historical sources for conducting genealogical research on the village of Keret during the mid-XIX -early XX centuries.
How Much Can VR Improve Spatial Experience? - A Case Study with a Commercial Building Project

With the development of Industry 4.0 and the impact of the COVID-19 epidemic, the global construction industry has undergone a rapid digital transformation, pushing the development of building information modeling (BIM), virtual reality (VR), augmented reality (AR) and mixed reality (MR) technologies towards greater maturity. However, from the perspective of building developers and end users, does VR technology have any benefit for complex building projects? What are users' acceptance and evaluation on VR emerging technology? After constructing a VR simulation navigation system for an actual commercial building project, this study investigated and compared the differences between using the VR system and the traditional navigation system in the four dimensions of the technology acceptance model. The results showed that the subjects generally believed that the VR system has significant benefits in terms of usefulness, users’ attitude, and users’ intention, however, there is still room for improvement in the perceived ease of use. Moreover, feedback from developers supported the benefits of the VR technology validated the system effectiveness. Hence, VR and BIM technologies are recommended to be effectively integrated, in order to enhance the integrity of industrial applications and establish a new design communication and collaboration model for the architecture, engineering, construction, and facility management industry.
Face Mask Detection by Using Convolutional Neutral Net-work and Tensor Flow

Due to this pandemic situation, the WHO introduced that every person must to wear the mask against the deadly virus (COVID-19). The basic aim of our project is to predict the face mask on human face or not. Nowadays, 60% of people are not wearing the mask while going outside. So, it leads to increase positive cases and spreading of disease. Also, rapidly increasing day-by-day because of these critical situations many countries are trying to protect the people but most of them are roaming outside without wearing mask. To overcome this critical situation, we created the Face Mask Detection Model to detect whether the person is wearing mask or not and deployed in Real Time Web application. We implemented the dataset in Convolution Neutral Network and by using Tensor Flow we trained Face Mask Detection Model. Finally, we test the results in Real-Time Web application using Web Framework. Alongside this, we have used concepts of neutral networks and output will be shown in Real Time web application whether the person is wearing mask or not. In our project, we can easily predict the person individually and control the spreading of disease day- by-day. This project can be used in Non-Crowded areas like Malls, Metro, Banks, IT Companies, etc…
Human activity recognition and Alert system

Monitoring and taking care of people has been a necessary factor. Since it is very vital to monitor the movements of the people left alone in our homes and people in unattended scenarios, this project focuses on Human Activity Recognition (HAR). This project showcases a smart human action recognition method to automatically identify the human activities from skeletal joint motions and combines the competencies. This is a low-cost method and has high accuracy. An independent mobile application is also developed to monitor the activities of the people and their surroundings when they are alone. A mobile notification is sent during abnormal activities. Thus, our project provides a way to help senior citizens from any kind of mishaps.
MENINGKATKAN KOSA KATA BAHASA INGGRIS ANAK MELALUI MEDIA LOOSE PART

English is one of the extra materials taught at RA Miftahus Surur Kalirejo Sumberwaru. In the classroom action research conducted on increasing children's English vocabulary, loose part media was chosen as a solution to solving problems found related to learning that is still monotonous. This study aims to describe the increase in English vocabulary using loose part media and to find out the results of increasing English vocabulary using loose part media. Through the four stages of CAR, namely planning, implementing, observing, and reflecting, the following conclusions can be drawn: Increasing English vocabulary in the learning process is carried out according to the RPPH which has been prepared and evaluated with predetermined assessment indicators. The results of the implementation of the implementation of loose part media to increase children's English vocabulary, experienced an increase in mastery percentage of 58.33%, in cycle I it increased to 83.33% in cycle II. This completeness percentage shows that the application of loose part media in learning activities can increase children's English vocabulary.
PENGEMBANGAN ALAT PERMAINAN EDUKATIF PEROSOTAN ARITMATIKA (PETIK) UNTUK MENINGKATKAN KEMAMPUAN BERHITUNG ANAK USIA 5-6 TAHUN

This study aims to develop products in the form of appropriate and effective learning media used for learning to count, especially basic addition and subtraction for children aged 5-6 tahun years. The method used in this research is R&amp;D (research and development), namely product development in the form of an arithmetic slide educational game tool (PETIK) and data collection techniques used are observation, interviews, documentation and validation questionnaires form material experts, media and learning experts. The data analisys technique used in this study used descriptive analisys of percentages. The results of this study indicate that the arithmetic slide educational game tool (PETIK) has met the criteria for being very feasible and effective in being used in learning activities to improve the numeracy skills of children aged 5-6 years.
Financial incentives and their impact on the performance of employees in Yemeni Private Universities

This study aims to examine the impact of financial and non-financial incentives on the employee's performance at Yemeni private universities. The study used the descriptive analytical method in the study. The respondents of the study consisted of 138 employees from private universities in Sana’a. The questionnaire was used as the main instrument for data collection. The finding shows that improving performance was not correlated with financial incentives, while it was more correlated with non-financial incentives. The results revealed that financial incentives have no significant impact on improving employee performance, while non-financial incentives show a significant impact. The study recommends private universities to pay more attention to non-financial incentives.
Speech Techniques as an Important Tool of Verbal Action in the Art of the Actor

The relevance of the study is conditioned upon the fact that contemporary art undergoes various transformations. Notably, modern theater is aimed at creating a variety of entertainment forms. It depends on the bright scenery, outrageous acting and the availability of experimental performances. Speech techniques as an important tool of verbal action in the art of the actor also acquired a specific, even paradoxical character. The theatrical work becomes quite subjective and individualised, embodies the inner well-being of the artist in the depiction of his emotions, worldview and more. In this regard, the article aims to determine the nature and features of speech techniques in the practice of performing arts. The leading methods of research on this problem are methods of analysis, synthesis, deduction, generalisation and comparison of approaches, which will help determine the main essence of the problem of speech and speech techniques as an important tool of verbal action in the art of the actor. The article presents various approaches to the study and interpretation of the stage word as a socio-cultural phenomenon; the analysis of works of artists, researchers who are engaged in research of this process is carried out; emphasis is placed on psychological difficulties and peculiarities of the organisation of verbal action on the stage; the definition of the essence of the subtext as a category of stage speech is offered; the methods of its embodiment in theatrical practice are substantiated; the specific features of the functioning of intonation in stage works are traced; diagnosed promising methods of developing the technique of stage speech in theatrical activities; the requirements of acting in the context of the development of theater of the 21st century are determined; the process of creating exemplary stage speech is demonstrated; recommendations and main tasks for improving speech techniques as an important tool of verbal action in the art of the actor and component of theatrical art are revealed. The materials of the article are of practical and theoretical value for art critics, actors, directors, culturologists and theater figures, who will be able to improve the forms of work on the word, to develop skills of language and speech culture. In addition, the information may be relevant for students of stage and art, scientists, teachers who will be able to implement certain principles in future theater activities.
Communicative Media Competence of Acting and Opera Teachers During Online Training of Future Opera Singers in Ukraine and the USA

The relevance of research on the given topic is that the competence of a teacher largely depends on their communication skills, as well as on the ability to adapt to working in the media space, which is required by modern education. This is especially relevant for the teachers of the art subjects, in particular the skills of an actor and opera singing, because remote training of specialists in these disciplines requires a high level of teachers' competence. The purpose of the submitted article is to study the media competence of teachers of acting skills and opera class during online training of future opera singers, to develop reliable diagnostic methods of communicative media competence and to compare the obtained indicators of teachers of educational institutions in Ukraine and the USA. The basis of the methodology is a combination of theoretical approaches with empirical observations and thematic survey, which allows to reliably investigate the level of communicative media competence of teachers of art disciplines. A comparative analysis of indicators of communicative media competence of acting and opera teachers of higher educational institutions of Ukraine and the USA demonstrated a certain advantage of teachers of American universities in the ability to work in social networks and organize online events, in psychological readiness to work in front of the camera, in tolerance for users of networks; at the same time, the indicators of situational adaptability, organizational skills and mastering of the means of social behaviour of effective communication are practically not different between teachers of Ukraine and the USA. The results of the research allow drawing conclusions about the expediency and necessity of improving the communicative media competence of teachers in Ukrainian universities, because remote teaching of stage disciplines, although it requires additional skills and abilities, can be not only effective, but also has certain advantages.
Liver Tissue Examination of Mice Using 10% BNF Fixation For 6 Hours And 16 Hours

The fixation process is the first stage in the manufacture of histopathological preparations which aims to preserve the tissue and harden the tissue, so that the tissue to be observed does not change in shape or size. BNF fixation solution (Neutral Buffer Formalin) 10% has been used as a routine fixative and It has been be the gold standard in histology laboratories for decades. The material used in this study was a 10% BNF solution because it is easier to use and it can be used to preserve tissue for a long period of time. This study aims to determine the differences in the microscopic results of the liver tissue of mice (Mus musculus) fixed with 10% BNF for 6 hours and 16 hours. This type of research is descriptive analytic. The research was carried out at the Barokah Laboratory/ dr.Mezfi Unita on 04-05 March 2022 with a total sample of 20 samples of mice liver tissue (Mus musculus). The results of the study on 10% BNF fixation for 6 hours and 16 hours showed that the average results were not good. The conclusion from the results of the study that there was no difference in the microscopic results of liver tissue that were fixed with 10% BNF for 6 hours and 16 hours using Hematorylin-Eosin staining. 10% BNF fixation with a time of 6 hours and 16 hours can be used as an alternative in histopathological examination in the short term and long term.