Reviewerly/exHarmony huggingface dataset:
Quality assurance policies of Kindergarten Education in Karachi and their implementation

This study revolves around the recent policies for Kindergarten education in Karachi. In this study the considerations regarding the policies and their implementations in Karachi city for Kindergarten institutions has been made. Also the level of the current Kindergarten education in Karachi in different regions of the city has been considered. For this purpose the literature review has been done from various sources. Then according to the requirement of the research the qualitative research has been adopted. The selection qualitative research has been more specified to phenomenological research method. Thus, the interviews from the founders of the different Kindergarten institutes have been done form different regions. By these interviews the conclusions have been made that there are no specific bodies from government providing any particular policies for initializing the Kindergarten Institute, but for checking of implementation of their basic requirements there is a process, which somehow is not applicable everywhere in the city. Some considerations also have been made from the founders regarding the current policies and implementations.
PSYCHOLOGICAL ASPECTS OF PRESCHOOL TEACHERS’ PROFESSIONAL ACTIVITY

The article examines the psychological regularities of teachers' activity and the ways in which they meet the social requirements by means of preschool and the education system in general, their awareness of the relevance of tasks, forms and methods of their activity depending on specific conditions.It has been established that the psychology of pedagogical activity is determined primarily by social factors: the place and functions of the preschool teacher in the society, the demands of the society on the teacher, as well as sociopsychological factors: the social expectations of the people surrounding the teacher regarding their personality and activities, their own expectations and attitudes in the field of pedagogical activity.It is emphasized that the individual style of activity is an important characteristic of the process of individualization of the professional activity.having the professional style indicates, on the one hand, to their adaptation to the objectively defined structure of the professional activity, and on the other hand, the maximum possible disclosure of their individuality.The importance of the nature of communication in pedagogical activity is characterized.It acts as a tool of influence, since the usual conditions and functions of communication grow into professional and creative components.It has been found that the content of the professional competence of a preschool teacher is determined by the qualification characteristic.It is a normative model of the teacher's competence, reflecting a scientifically based set of professional knowledge, abilities and skills.In general, qualification characteristics are a list of Журнал «Перспективи та інновації науки» (Серія «Педагогіка», Серія «Психологія», Серія «Медицина») № 10(15) 2022 15 generalized requirements for a teacher at the level of their theoretical and practical experience.It has been proved that high results in the teacher's pedagogical activities are possible only having deep knowledge of the physical and mental health of the pupils, the specifics of the environment, the nature of relationships, as well as their own professional and individual characteristics.
Validity of teaching and learning English as a foreign language through using Duolingo program

Due to spread the internet in our life, teaching English nowadays is much different from the past, this is because of the prevalence of many and new techniques for teaching and learning English language as a foreign language. This research has been written to encourage the teachers to use different and new ways inside their classroom, and also to assess and check the efficiency of learning English through using Duolingo program, and to evaluate the teaching and learning, and also to point out the drawback of using the old and traditional ways. The research carried out by using pre-test and post-test. The sample for this research was 85 students from the fourth stage of English department in the college of Basic Education / Diyala University in the academic year 2021-2022. Through the statistical result which the researches got it shows that the impact and the ardor for the using such enjoyable and new ways in teaching and learning English language.
Perceptions of Heads of Secondary Schools Regarding Academic Advising Competencies of The Teachers at Secondary School Level

This study was aimed at analyzing the perceptions of heads of secondary schools regarding academic advising competencies of the teachers at secondary school level. Quantitative approach was used in this study and the design of the study was descriptive and survey type. The study was delimited to the four districts of Rawalpindi Division, i.e. Attock, Chakwal, Jhelum and Rawalpindi. A total number of 4913 secondary school teachers and 960 heads of secondary schools were included in the population. Simple random sampling technique was used for the selection of sample. A total number of 491 teachers and 97 heads were selected as sample. Questionnaire was developed for the collection of quantitative data from the heads. The quantitative data was analyzed using the frequencies, percentages, mean, standard deviation and chi-square. On the basis of the conclusions it is recommended that enough time for interaction and contact between the students and the teachers for the purpose of academic advising may be offered. The professional development of teachers regarding academic advising may be given due importance so as to make the very process more effective and efficient. The teachers in this regard may be given more autonomy and flexibility in dealing with rules and regulations of academic advising. There is a dire need to establish an advanced psycho-educational advising centre at the schools and activate its activities to offer advising, developmental, and remedial services focusing on the development of the bright and optimist side of students’ personalities.
Differences between the Purposes of the Dominance Search Model and the Acceptable Decision-Making Search Model

This study clarifies the differences in the decision-making processes between the dominance search model and the acceptable decision-making search model. For this purpose, we analyzed the behavioral patterns of the two decision-making models based on empirical decision-making cases. We found that, although the upper purposes of decision-making are the same, the two models have fundamentally different lower purposes and, hence, their decision-making pro-cesses are very different. Additionally, the lower decision-making purposes of both models are conceptually defined as explicit and implicit, and their differences derive from the behavioral patterns between Japanese and Westerners based on the research results of Nisbett. This re-search is a very important topic for smooth consensus building with people who have different ways of thinking and so on. This is not only an academic contribution to clarify the nature of cross-cultural decision-making, but also useful in discussing effective approaches to negotiation in business.
Empirical Study on Method-level Refactoring Using Machine Learning

Because of the importance of software refactoring for software code quality and stability, this research primarily emphasizes whether refactoring can be vital to identify probable software components for future refactoring. Modularity, reusability, modifiability, maintainability, and service-oriented development may all be improved with refactoring. This fact encourages academics to develop a new and improved machine learning paradigm for restructuring OO software. We have made a multi-purpose optimization effort to assess the OOP-based software systems or components refactoring in this work. This research intends to exploit and optimize OOP software metrics to examine code quality by performing refactoring. Our objective is to develop a highly resilient and efficient ensemble computing model for refactoring prediction at the method level into a machine learning framework using software metrics as features. The focus is on applying enhanced state-of-art data acquisition, data preprocessing, data imbalance resilient re-sampling, feature extraction, and selection, followed by improved ensemble-based classification. This work will also focus on the types of project work for different kinds of classification.
An Efficient Motion Registration Method Based on Self-Coordination and Self-Referential Normalization

Action quality assessment (AQA) is an important problem in computer vision applications. During human AQA, differences in body size or changes in position relative to the sensor may cause unwanted effects. We propose a motion registration method based on self-coordination (SC) and self-referential normalization (SRN). By establishing a coordinate system on the human body and using a part of the human body as a normalized reference standard to process the raw data, the standardization and distinguishability of the raw data are improved. To demonstrate the effectiveness of our method, we conducted experiments on KTH datasets. The experimental results show that the method improved the classification accuracy of the KNN-DTW network for KTH-5 from 82.46% to 87.72% and for KTH-4 from 89.47% to 94.74%, and it improved the classification accuracy of the tsai-MiniRocket network for KTH-5 from 91.29% to 93.86% and for KTH-4 from 94.74% to 97.90%. The results show that our method can reduce the above effects and improve the action classification accuracy of the action classification network. This study provides a new method and idea for improving the accuracy of AQA-related algorithms.
Evaluation Of User Experience And Recommendation Of Improvements To The Jember DISPENDUKCAPIL Service Information System With UEQ Method

&#x0D; &#x0D; &#x0D; SIP Dispendukcapil Jember is a mobile application released in 2019 by the Jember Regency Government to make it easier for the public to manage and register civil. This study uses the UEQ method which has 6 parameters with 26 items, the UEQ parameters include Attractive, Perspicuity, Efficiency, Dependability, Stimulation, and Noveltyn with the result being a recommendation for feature improvements to be improved again. This research started from data collection, literature study, respondent determination, instrument preparation, data collection strategy development, UEQ questionnaire distribution, evaluation data analysis using the UEQ method, compiling recommendations for improvement and the result is an Attractive value of 1.26 which is above the average criteria, Perspicuity 1.35 above the average criteria, Efficiency 0.97 below the average criteria, Dependability 0.89 included in the criteria. below the average criteria, 1.11 Stimulation is included in the below average criteria. the above average criteria, Novelty 1.19 is a good criterion.&#x0D; &#x0D; &#x0D;
Exploring the Impact of Gender Bias Mitigation Approaches on a Downstream Classification Task

Natural language models and systems have been shown to reflect gender bias existing in training data. This bias can impact on the downstream task that machine learning models, built on this training data, are to accomplish. A variety of techniques have been proposed to mitigate gender bias in training data. In this paper we compare different gender bias mitigation approaches on a classification task. We consider mitigation techniques that manipulate the training data itself, including data scrubbing, gender swapping and counterfactual data augmentation approaches. We also look at using de-biased word embeddings in the representation of the training data. We evaluate the effectiveness of the different approaches at reducing the gender bias in the training data and consider the impact on task performance. Our results show that the performance of the classification task is not affected adversely by many of the bias mitigation techniques but we show a significant variation in the effectiveness of the different gender bias mitigation techniques.
VisGIL: machine learning-based visual guidance for interactive labeling

Abstract Labeling of datasets is an essential task for supervised and semi-supervised machine learning. Model-based active learning and user-based interactive labeling are two complementary strategies for this task. We propose VisGIL which, using visual cues, guides the user in the selection of instances to label based on utility measures deduced from an active learning model. We have implemented the approach and conducted a qualitative and quantitative user study and a think-aloud test. The studies reveal that guidance by visual cues improves the trained model’s accuracy, reduces the time needed to label the dataset, and increases users’ confidence while selecting instances. Furthermore, we gained insights regarding how guidance impacts user behavior and how the individual visual cues contribute to user guidance. A video of the approach is available: https://ml-and-vis.org/visgil/ .
Analysing the digital transformation of the market for fake documents using a computational linguistic approach

The market for fake documents on the internet is a topic that has not yet been explored in depth, despite its importance in facilitating many crimes. This research explored the market of fake documents on the White House Market anonymous market with a computational linguistic methodology; more specifically using textometry. The textual corpus is composed of the data of the ads titles as well as the profiles of the sellers, which were analysed as traces of their online activities. We investigated how these remnants can help to answer general questions. What kinds of fake documents are sold? Can we distinguish types of sellers based on their selling activities or profiles? Can we link distinct vendors based on language trace similarities? The free software IRaMuTeQ was used to carry out the analysis. The results showed that the textometric methods have real potential in classification, highlighting the different products on the market, and grouping the sellers according to their offers.
Integrated Application of AR Technology Development and Drama Stage Design

With the continuous development of science and technology in China, more and more high-tech tools are appearing in our lives, one of which is AR technology. Augmented reality is now widely used in gaming, e-commerce shopping, and interior design. With the development of digital media technology, contemporary theatre design often incorporates new technologies, one of which is augmented reality, which uses Internet of Things (IoT) technology to build different devices onstage, allowing images from computers to be shown virtually on stage. Augmented reality technology can enhance the appeal of theatre and create a new theatre atmosphere for the audience. At the same time, the deep involvement in the narrative is conducive to the creative transformation and innovative development of the art of theatre in the new media era. The following question is how to make AR technology more suitable to enter the theatre without dramatically affecting the core content of the play. This study will elaborate on the media characteristics and interactive relationship of AR technology and analyse and demonstrate the expansion space brought by augmented reality technology to theatre art by some case studies. In addition, it also attempts to put forward some ideas and suggestions on design aspects such as presentation, communication, and styling and to study the pros and cons of the new technology on theatre stage design so as to make a judgement on the future prospects of AR technology in a wide range of entertainment applications.
Promoting Toko Aneka Gelas Through a Promotional Video

Toko Aneka Gelas was established in 1998. It is located at Saranani No.39, Makassar. Toko Aneka Gelas is the shop that sells household in category of tableware like glass, plate, jar, etc. The average the products sold in the shop is made of glass. Toko Aneka Gelas has a problem that must be solved immediately which is Toko Aneka Gelas experienced decrease sales since five years ago. Therefore, the best solution to solve this problem is to make a promotional video. The reason why a promotional video is the best solution to overcome the problem is because it can help increase the customer and also can attract the new target customer which is Café owners. The promotional video was made following Colman (2019) in order to make good promotional video. The solution will give three benefits according to Mishra (2015). The benefits are: it is increasing brand awareness, segment identification, and the customer traffic. Keywords: promotional video, sales, promoting
A knowledge graph approach to registering tumour specific data of patients-candidates for proton therapy in the Netherlands.

PurposeThe registration of multi-source radiation oncology data is a time consuming and labour intensive procedure. The standardisation of data collection offers the possibility for the acquisition of quality data for research and clinical purposes. With this study we present an overview of the different tumour group data lists in the Dutch national proton therapy registry. Our goal is to provide the radiotherapy community with a flexible and interoperable data model for data exchange between centres. We highlight data variables that are needed for models used in the model-based approach (MBA), which ensures a fair selection of patients that will benefit most from proton therapy.MethodsAs a representative example of the workings of these different tumour specific knowledge graphs, we present the FAIR (Findable, Accessible, Interoperable, Reusable) data principles-compliant knowledge graph approach describing the head and neck tumour variables using radiotherapy domain ontologies and semantic web technologies. We used dosimetric and clinical variables included in the standardised head and neck tumour group items list (protrait.nl) that are used for the selection of patients candidates for proton therapy. ResultsWe successfully implemented the creation of the knowledge graph using data items from the head and neck tumour list. Furthermore, we presented the structure of an interoperable data model based on the usage of publicly available ontologies and semantic web technologies.Conclusion With this study we provide a synopsis of the different data items lists of the ProTRAIT registry, focusing on a particular knowledge graph with data items included in the head and neck tumour group list. We also highlight the importance of the FAIR data principles that can establish a standardised framework of data reusability in radiotherapy.
Particularities of formation of the modern teachers’ video culture

Particularities of formation of the modern teachers' video cultureThe article deals with the theoretical and practical problems of video culture, which is a specific aspect of media culture, i.e. the culture of perception and production of the integrity of information and communication media, performing in society, semiotic systems, communication technologies, search, storage, production and information transfer by social groups and society generally.One of the tasks of modern teachers' video culture formation is fulfilled in the process of dialogue interaction of students and teachers by solving a chain of media educating tasks.It is noted that in conditions of distance learning, a significant portion of educational information is presented in visual form: graphic illustrations, audio and video; simulation programs.Video culture stays on the crossing of three branches, namely cultural, social, psychological and pedagogical.The cultural aspect of a teacher's video culture is primarily revealed in production of video products, transferring the learning contents through visual images in various forms.Social aspect of a modern teacher's video culture suggests a general social interaction between different groups: administration, parents, students, colleagues, etc. Psychological aspect of video culture involves such communication channels as visual image, visual effect, voice, music, sound effect, written text.Pedagogical effect of video culture formation defines particularities of video perception, expecting fixation, analysis of the imaginary media material, its interpretation, necessary for comprehension and formation of personal attitude to the information, detailed analysis, comparison and evaluation, emotional appraisal, creative interpretation of the seen material, construction of subjective new images and concepts on the base of critical thinking.Indicators of the teacher's video culture formation include: maintenance of contact, filtration and selection of video products, perception and comprehension of visual media texts, critical analysis of their forms, practical skills and manifests of creativity concerning visual media, as well as application of the media hygiene rules.
Discovering Diverse Solutions in Deep Reinforcement Learning by Maximizing State-Action-Based Mutual Information

Reinforcement learning algorithms are typically limited to learning a single solution for a specified task, even though diverse solutions often exist. Recent studies showed that learning a set of diverse solutions is beneficial because diversity enables robust few-shot adaptation. Although existing methods learn diverse solutions by using the mutual information as unsupervised rewards, such an approach often suffers from the bias of the gradient estimator induced by value function approximation. In this study, we propose a novel method that can learn diverse solutions without suffering the bias problem. In our method, a policy conditioned on a continuous or discrete latent variable is trained by directly maximizing the variational lower bound of the mutual information, instead of using the mutual information as unsupervised rewards as in previous studies. Through extensive experiments on robot locomotion tasks, we demonstrate that the proposed method successfully learns an infinite set of diverse solutions by learning continuous latent variables, which is more challenging than learning a finite number of solutions. Subsequently, we show that our method enables more effective few-shot adaptation compared with existing methods.