Reviewerly/exHarmony huggingface dataset:
Technologies of integration of educational resources and services in conditions of distance learning

The need for accelerated digitization of education, caused by the COVID-19 quarantine restrictions (general context) and military actions on the territory of Ukraine (local context), makes the research on the design of technologically enriched distance learning support systems in higher education institutions topical. The materials of the present paper are aimed at defining the influence of the content delivery information technologies and the support of educational communication of the educational process subjects on the degree of students’ satisfaction with the implementation of distance learning by a higher education institution. It offers an overview and classification of various types of integration of educational resources and services. The authors distinguish two approaches to integration (active and passive) and three main types (integration of authorization, storage and resources). They indicate the features of the application of certain types of integration to support student satisfaction and offer implementation examples using the LMS Moodle as a model. The paper presents the results of monitoring satisfaction with the described technologies for the integration of educational resources and services within the Moodle platform during distance learning of students of the Faculty of Information Technologies of the NULES of Ukraine. A total of 162 students indicated a high level of satisfaction with the use of the integration of external educational resources and services – the average value was 2.20 points with a positive attitude threshold of 1.5. According to all indicators, students positively evaluated the integration of educational resources and services in ELC, however, according to the students, the greatest impact on satisfaction is the integration of educational resources (with the average value of 2.41). It identifies the need to develop the methodological recommendations for the implementation of various types of integration of educational resources and services into the institutional environment of a higher educational institution.
Game aspects of learning modernization

Modern human living conditions are related to factors, the action of which is difficult to predict and predict their changes due to the relevance and dynamics of the factors of imbalance, variability, complexity and uncertainty. This social state is generalized by the scientific concept of "VUCA-world" or the space of existence with the dominant features of Volatility, Uncertainty, Complexity and Ambiguity. These social conditions make demands on modern man's constant readiness for effective adaptation and effective development in a changing, fluid reality. At the same time, these circumstances radically and dynamically change the horizons of modern education, require national educational systems to flexibly adapt to the peculiarities of the VUCA environment. The aim of this study is to carry out theoretical research of psychological patterns of the game as a basis for modernization of learning, to substantiate the didactic feasibility and effectiveness of modern methods of educational activities - editing, workshops and organizational games in the context of preparing the subject for life in social uncertainty . The research uses methods of abduction, phenomenological reduction, method of analysis and systematization of scientific positions and approaches to the study of psychological patterns of play, method of theoretical reconstruction (modeling) of psychological determination of the impact of game patterns on the effectiveness of preparing the subject for life in social uncertainty. According to the results of the study, the psychodidactic expediency of using education, workshops and organizational-game play in teaching is substantiated, approaches to psychological determinism of improving the subject's preparation for life in conditions of social uncertainty are outlined, categorical-conceptual content of perspective game aspects is specified. Scientific ideas about the universal connection of editing, workshops and organizational and activity games with the prospects of development of education systems for people of different ages have also been deepened. The study provided an opportunity to update the psychological issues of the role and importance of the game as a universal software tool for modern life. The results of the study allow conclusions about the psychodidactic expediency of using methods and technologies of editing, workshops and organizational and activity games as promising educational systems, the urgency of continuing psychological research on game aspects of improving learning systems, developing structural and functional model of formation and development of existential capabilities the object of life on the methodological and technological basis of editing, workshops and organizational and activity games.
Studi Pendahuluan Sistem Akuakultur Cerdas Berbasis Online Monitoring Terhadap Unjuk Kerja Kincir Aerasi

This article discusses a preliminary study of developing a paddlewheel aerator for shrimp ponds using an integrated intelligent aquaculture system to support intensification. Two paddlewheel aerators with different phases have been successfully installed. The test was carried out on two different types of motors, which were intended to comprehend the performance of every motor on a paddlewheel aerator. The ratio of the speed values for a single-phase motor was 102 rpm and for a 3-phase motor was 110.3 rpm. The data from the performance observation of the aeration wheel motor can be viewed via a smartphone using a website application. The data displayed from the observations are in the form of data on voltage, current, frequency, power, power factor, and the power generated by the pinwheel motor. The test results show the performance of the aeration wheel motor that works under normal conditions with an average measurement error of 0.23%, below the acceptable error limit of 0.5%. This research forms the basis for a smart aquaculture system that can be developed domestically to support local industries in Indonesia.
Application and Optimization of Informationized Surveying and Mapping in Project Document Management

With the integration of economic integration, the diversification of market demand and the continuous improvement of global business competitiveness, various industries must continuously improve their competitiveness in the fierce market competition, consolidate their dominant position, and in the constantly changing market environment Seek space for survival and development.Based on the analysis of the application level model of informatization surveying and mapping in project document management, this paper analyzes the application technology of informatization surveying and mapping in project document management, and then constructs the corresponding data model, aiming to provide some useful references.
English Grammar Rules as an External Barrier Faced by EFL Students for Effective Communication

The key objective of the study was to 'investigate English grammar rules as an external barrier faced by EFL students for effective communication and to examine the impact of English grammar rules as an external barrier faced by EFL students for effective communication'. To fulfil the preceding purpose this research utilizes the mixed method approach and for the proper execution of this work, the researcher collected data through a questionnaire. Research data were analyzed using Statistical Package for Social Sciences (SPSS). The results of data analysis illustrate the respondents of the study responded with medium to low degree mean values. The results of the current study reveal that most of the foreign language learners indicated that in the two preceding situations and atmospheres the external barrier such as silent letters, difficult spellings, wrong pronunciation, variation in pronunciation due to complex spelling systems, pronunciation of words matches with their spellings, and lengthy words learners feel a high degree of difficulty and English grammar rules work as a hurdle for effective communication.
Handwriting prediction using the support vector machine method in web-based applications

Current technological advances have progressively encouraged individuals to use web-based applications. To determine the owner of a handwriting, one of the manual methods is generally done by people. And it can be done by a web application to find out the person’s handwriting. The Support Vector Machine (SVM) Method is a strategy of artificial intelligence used to recognize handwriting. This study intends to create a handwriting recognition framework using the Support Vector Machine (SVM) Method on a web-based application, with extraction features that are important as the basis for describing and characterizing handwritten images. The results obtained from predictions using the Support Vector Machine are by using 16 data and there are 80 tests carried out in total. The results obtained indicate that there are 25 incorrect prediction tests and 55 correct prediction tests so that the level of accuracy obtained is 68.75%.
Optimization of a Polarization-Encoding System for Practical Quantum Key Distribution

We present a method for optimizing the waveplate’s voltage range of an electro-optic based electrical polarization controller for qubit encoding in discrete-variable quantum key distribution (QKD). By increasing the number of used waveplates, the maximum voltage range to generate each of the states-of-polarization required by a QKD protocol can be reduced. The proposed machine learning algorithm, particle swarm optimization, was validated through numerical and experimental results. Results show that transitions between six states of polarization used in QKD systems can be generated using a maximum voltage range of 10V in each waveplate.
Applicative Intersection Types

Calculi with intersection types have been used over the years to model various features, including: overloading, extensible records and, more recently, nested composition and return type overloading. Nevertheless no previous calculus supports all those features at once. In this paper we study expressive calculi with intersection types and a merge operator. Our first calculus supports an unrestricted merge operator, which is able to support all the features, and is proven to be type sound. However, the semantics is non-deterministic. In the second calculus we employ a previously proposed disjointness restriction, to make the semantics deterministic. Some forms of overloading are forbidden, but all other features are supported. The main challenge in the design is related to the semantics of applications and record projections. We propose an applicative subtyping relation that enables the inference of result types for applications and projections. Correspondingly, there is an applicative dispatching relation that is used for the dynamic semantics. The two calculi and their proofs are formalized in the Coq theorem prover.
FORMING SKILLS IN STUDENTS FOR EDUCATING PUPILS IN THE TRAINING PROCESS

The aim of the present study is to present some of the possibilities in forming competencies in students for the realization of the educational process of the pupils. The following main tasks derive from the goal: To follow the possibilities of the educational content for the education of the students. To emphasize the role of the texts in forming a value system. This publication focuses on working with students – future teachers for educational influence on pupils. Attention is paid to the preparation of students for future professional activity and the forming values in pupils: patriotism, love of nature, respect on human dignity, freedom, tolerance, justice, solidarity and others. The attention in the work with the students is focused on the implementation of classroom work and preparation for pedagogical practice.
A Study of Project-Based Group Work in English for Specific Purpose Courses

The study is to apply project-based group work for the goal of discipline/language learning in ESP classes. The results indicate project-based group work is welcomed by students, as they can obtain a chance to participate in a real situation of ESP lesson, which can improve learners’ language proficiency significantly. The study also proves there are strong correlations among project-based group work and project presentation, as a result, also improve learners' competences in discipline knowledge. Group product presentation is proved to be an effective assessment, which enhance learners' cooperation consciousness with accumulating some experience for their future career.
Bonsapps Keyword Spotting Challenge : Environment Aware Universal Keyword Encoder for Low Footprint Devices

This article presents our contribution to the BonsApps keyword spotting challenge, in which we suggested a generic keyword encoder for any word in any language with an awareness of the environment. The approach deals with training the encoder using the newest multilingual spoken words corpus (Mswc) in a multitask learning manner to focus on speech with the first layers and encode the spoken words into a vector of 1024 units. The encoder can be used after-ward to classify any word with a substantially small number of samples. We assessed our strategy in some experiments with a complete comparison with state-of-the-art approaches considering generality, environment complexity, and latency on a raspberry pi 4 32 bits. Our approach seems to be the best compromise regarding all the listed constraints.
Working with SharePoint Lookup Columns in Power BI

Let's continue our example from the last chapter by visualizing our data. It gives us a good opportunity to explore how we work with lookup columns, such as the Class lookup column in the Attendee list. In this chapter, we will connect to our two lists, transform our data, and then create rosters and other visualizations of our data. After selecting a desired event, users can then export an attendee list, if desired.
SOCIAL INTELLIGENCE AS A FACTOR OF ACTIVATING THE LEADERSHIP POTENTIAL OF THE FUTURE TEACHER’S PERSONALITY

The article deals with the problem of social intelligence of students – future teacher, The authors emphasize that developed social intelligence can serve as a factor of activating the leadership potential of the personality of a future teacher. The leadership potential of the future teacher’s personality is defined by the authors as a set of special abilities and personality qualities that ensure the effectiveness of communication and interaction, success in professional activity in specific educational conditions through emotional, behavioral, business and information resources. The paper presents the results of an empirical study of the characteristics of leadership abilities and personality traits of students – future teachers with different levels of social intelligence development. The following diagnostic methods were used in the study: features of social intelligence were diagnosed using the social intelligence test by J. Guilford and M. Suliven (Russian adaptation of the test by E.S. Mikhailova); the leadership abilities and personality qualities of the future teacher were studied through the use of the business game “I am a leader”, the methods “Diagnostics of leadership abilities” by E. Zharikov and E. Krushelnitsky, “Leadership Effectiveness” by R.S. Nemov, “Communicative and organizational inclinations” by V.V. Sinyavsky and I.A. Fedoroshin. According to the results of the study, it was revealed that the level of development of social intelligence is associated with the characteristics of leadership abilities and personality qualities. Future teachers with average social intelligence showed pronounced leadership abilities and personality qualities. Based on the conducted research, it is concluded that in modern conditions of digitalization of society and education, social intelligence plays one of the leading roles in communication and interaction of a teacher, can be a factor in activating the leadership potential of an individual.The development of social intelligence among students of the teaching profession can ensure the success of professional activity in modern educational conditions.
Comparison of Named Entity Recognition Methods on Real-World and Highly Imbalanced Business Document Datasets

Named Entity Recognition (NER) is a topic of natural language processing that has gained interest in the research community for its applications in different areas, especially industrial environments where the analysis of business documents is very important. Different methods proposed for NER are usually tested in benchmark databases, which gives several advantages to the evaluated methods including a large number of samples with a low number of entities to recognize, and an “artificially” created balance in the dataset. This paper compares and analyzes several models for NER on data collected from real business processes. In the addressed scenarios, the number of samples is limited and there is a large number of imbalanced entities in the documents. Two scenarios are considered for the proposed comparison: (1) a set of German legal documents from court decisions, and (2) a set of Spanish business documents related to the company’s registration at the Colombian chamber of commerce. Both scenarios are evaluated using state-of-the-art methods such as conditional random fields, bidirectional long-short term memory networks, and Transformers. The results in both scenarios indicated that architectures based on Transformers outperformed architectures based on conditional random fields and recurrent neural networks. Additionally, we observed that the performance to accurately recognize certain entities highly depends on different criteria such as the number of available tokens per entity, the average length of the entities within the document, and most importantly on the semantic similarity that exists among tokens per entity and the rest of the document.
Environment Specific Strategy for Mobile Robot Path Planning Problem

Determining the optimal path for the mobile robot for a given environment to reach the destination from the starting location is implemented in numerous ways.To obtain the optimal solution Genetic Algorithm (GA) is predominantly used in this research domain.While applying GA, initial solution space is created by randomly generated paths.In this study, the solution space ascertained is environment specific which is directly influencing the computational cost.Three strategies are characterized to construct the initial path depending on the three classified environments.The experiments are conducted with different maps and the outcomes are analyzed quantitatively as well as qualitatively to defend the proposed methodology.
Research on Data Storytelling Strategies for Cultural Heritage Transmission and Dissemination

Cultural heritage is non-renewable and irreplaceable, which needs to be preserved and passed on. In the digital age, cultural heritage can be brought to life through data storytelling, a communication tool that effectively blends science and technology with humanistic structures, empowering cultural heritage and promoting the transmission and dissemination of culture. The research begins with developing and studying data storytelling in the digital age. The concept and development of data storytelling are reviewed through literature research, and its theoretical basis and three essential elements are analysed: data science, visualisation, and narratology. The design objectives, data framework, and visualisation process of data storytelling in cultural heritage are analysed through desktop research and theoretical studies of the project and literature. Finally, the design strategy of data storytelling in cultural heritage is proposed, conducive to promoting digital humanities research, popularising cultural data information and value dissemination, and telling cultural stories.
3D POSE ESTIMATION BY GROUPED FEATURE FUSION AND MOTION AMPLITUDE ENCODING

3D human pose estimation is challenging and converting it to a local pose estimation problem by dividing human body into different groups based on anatomical relationships can improve the accuracy of the resulting 3D pose estimation.Joint features of different groups are fused to predict complete pose information of entire body, in which a joint feature fusion scheme must be used for this purpose.However, the joint feature fusion adopted in existing methods has to learn a large number of parameters and is computational expensive.In this paper, we propose an optimized feature fusion (OFF) module, which requires fewer parameters and less calculations while ensures prediction accuracy.Moreover, we also propose a motion amplitude encoding (MAE) method to improve the prediction accuracy for small ranged movements.Experiments have shown that our method outperforms previous state-of-the-art results on Human3.6Mdataset.
Measuring Difficulty of Learning Using Ensemble Methods

Measuring the difficulty of each instance is a crucial meta-knowledge extraction problem. Most studies on data complexity have focused on extracting the characteristics at a dataset level instead of the instance level while also requiring the complete label knowledge of the dataset, which can often be expensive to obtain. At the instance level, the most commonly used metrics to determine difficult to classify instances are dependant on the learning algorithm used (i.e., uncertainty), and are measurements of the entire system instead of only the dataset. Additionally, these metrics only provide information of misclassification in regard to the learning algorithm and not in respect of the composition of the instances within the dataset. We introduce and propose several novel instance difficulty measures in a semi-supervised boosted ensemble setting to identify difficult to classify instances based on their learning difficulty in relation to other instances within the dataset. The proposed difficulty measures measure both the fluctuations in labeling during the construction process of the ensemble and the amount of resources required for the correct label. This provides the degree of difficulty and gives further insight into the origin of classification difficulty at the instance level reflected by the scores of different difficulty measures.
Recital Hall into existing structure limited height space

Renovations for a college Fine Arts program desired to reincorporate multiple art departments that had become scattered over various locations throughout campus into an existing mid-century architecture legacy building. Included in the renovation program is a 130 seat Recital Hall, Instrumental Music Labs, and Commercial Music Recording program. The particular small rooms challenge presented is that the 130 seat Recital Hall must fit within an existing concrete waffle slab structure with a height of 17 feet from floor to bottom of structure and a total room volume of only 30,000 cubic feet. This presentation will walk through the challenges of providing an acceptable room acoustic environment for recitals amongst the other design challenges of ADA accessibility, sound separation to other arts programs, modern MEP services and requirements, and limitations of existing structural capacity.