Reviewerly/exHarmony huggingface dataset:
Exploring English Majors’ Experience in Taking IELTS Speaking Practices: A Qualitative Study

This study sought to explore the experience of students majoring in an English Department in taking the IELTS speaking practices, and whether or not they had challenges during the learning process. A qualitative approach was employed, and for collecting data a WhatsApp voice note application was utilized. Three students studying at a university in Gorontalo, Indonesia, agreed to participate voluntarily. The findings revealed that the students experienced different challenges during the IELTS speaking practices, which were grouped into five themes: (1) students prepared themselves in different ways, (2) students viewed IELTS differently, (3) students encountered some problems during the IELTS speaking practices, (4) students had issues in adjusting their answers to the test duration, and (5) students agreed that the IELTS test is important for their future. It was also found that the students still had challenges in practicing the IELTS speaking tests. For instance, they felt nervous, lacked English academic vocabulary, and even worried about using correct English grammar. The study recommends that students need to do more readings and spend a sufficient amount of time practicing with peers, so they could expand their knowledge and structure their responses well. In addition, lecturers can help students by giving authentic IELTS materials and visualizing the example of IELTS speaking tests in the classrooms.
DEVELOPMENT OF PROFESSIONAL COMPETENCE AS AN IMPORTANT TASK OF THE HIGHER EDUCATION PROCESS

In the development of professional competence of students, it is important that they acquire practical skills and competencies of a research nature. Because they carry out actions aimed at preparing a number of research works of a scientific nature during their studies in higher education institutions. It, in turn, requires students to have research skills and competencies. In the article, professional competence is related to the requirements of studying the experiences of organizing and conducting the educational process in continuing education institutions, participating in research, collecting, summarizing and analyzing data, passing training sessions in general secondary, secondary special, vocational educational institutions, acquiring and applying modern technologies. should answer, stages of implementation of the process of development of students' professional competence in the process of higher professional education, principles of development of theoretical knowledge and practical skills, issues of the need to acquire social competences important for every student are discussed.
Viber is a Powerful Kick to Support Online Learning during the Covid Period at SDIT Permata Kota Probolinggo

One of the most effective ways to maximize online learning is to create learning media. One of the learning media that relies on technology-based applications is called Viber. Viber is an application to create interactive learning media to implement interesting and fun learning strategies. This requires the adaptation of information technology from all lines and types of education to provide up-to-date learning media based on contextual and dynamic learning. The development and use of computer technology in the education system can make reforms for a better and modern education system. Since the COVID-19 pandemic has forced the learning process to continue to maintain the stability of delivering material to students so that it is maintained. This activity was carried out at SDIT Permata Kota Probolinggo which is located on Jalan Tongkol No. 2 No. 6, Ex. Mayangan, Kec. Mayangan, Probolinggo City, East Java 67218. The aim is to improve the quality of learning through the use of interesting and interactive video scribe and animaker learning media.&#x0D;
AUTOMATIC MODULATION CLASSIFICATION: CUMULANT APPROACH

The article describes the apparatus for determining the types of modulation based on cumulants. A new approach based on cumulants up to the eighth order is considered. The rationale for the use of the cumulant method is given. The results of the application of artificial neural networks in the task of automating the detection of signs of intrapulse modulation for the identification (classification) of signals are presented. A mathematical model of characteristic types of modulation used in radar and communications has been developed. The main properties of each type of signals are described and a method is proposed that allows one to determine the type of modulation based on the calculation of informative features. The simulation was carried out in Matlab/Simulink.
The Adoption of 4Step-Rule-Set Method for Ontological Design: Application in a Real Industrial Project

Ontology building can greatly influence the development cycle of an information system and enhance interoperability among its constituent elements. Throughout the projects we have been developing we have detected, by studying the current literature, a need to develop an agile method to conceive and mapping ontologies, which allows a quick and effective response to R&D projects. Designing a method for building an ontology, which is integrated and aligned with a systematic development approach, represents a crucial challenge in new approaches to system design and exploitation. Extant proposed methods for building an ontology, especially following agile approaches, have achieved interesting results but lack integration and alignment with a wider-view development framework. Thus, we have defined the first version of a semantic model allowing the alignment with the previously defined information model. Following the best practices for ontology building and based on our previous work on software system development, we now propose a method for designing an ontology, the 4SRS Method for Ontological Design based on the V-Model 4SRS, aligning it with a proven development method. We further demonstrate this approach by applying the proposed method in a real case, to develop an ontology for a choen restricted scope within the domain problem.
USO DAS TECNOLOGIAS EDUCACIONAIS NO CUIDADO DE CRIANÇAS PORTADORAS DE DIABETES MELLITUS

Objective: To identify evidence available in the Brazilian literature on which educational strategies favor the care of children and adolescents with Diabetes Mellitus Methodology: Integrative literature review, which intends to answer the following guiding question: What are the educational technologies that favor the care of children with Diabetes Mellitus?The inclusion criteria were: all scientific articles freely available in the databases, original articles and literature reviews available in full, which addressed the theme, in Portuguese, English and Spanish, with no time limit and which corresponded to the objective of the study.This collection was carried out from September to November 2022.Results/Discussion: 11 publications were found.The analysis took place through interpretive reading.The educational strategies used in the health education process for DM were multiple.Highlighting games, toys and recreational activities, educational interventions, applications, booklets and leaflets.Final Considerations: The use of educational technology in the care of children with DM enables the stimulation of self-care, the construction of autonomy and the prevention of complications arising from the disease.
Developing Quantum Workloads for Workload-Driven Co-design

Quantum computing offers the future promise of solving problems that are intractable for classical computers today. However, as an entirely new kind of computational device, we must learn how to best develop useful workloads. Today's small workloads serve the dual purpose that they can also be used to learn how to design a better quantum computing system architecture. At Intel Labs, we develop small application-oriented workloads and use them to drive research into the design of a scalable quantum computing system architecture. We run these small workloads on the small systems of qubits that we have today to understand what is required from the system architecture to run them efficiently and accurately on real qubits. In this presentation, I will give examples of quantum workload-driven co-design and what we have learned from this type of research.
3D Objects Detection and Recognition from Color and LiDAR Data for Autonomous Driving

In recent years, autonomous driving vehicles are attracting growing commercial and scientific attention. How to detect and recognize objects in a complex real-world road environment represents one of the most important problems facing autonomous vehicles and their ability to make decisions on the road and in real time. While color imaging remains a rich source of information, LiDAR scanners can collect high quality data under different lighting conditions and can provide high-range and high-precision spatial information. Expanding object detection by processing simultaneously data collected by a color camera and a LiDAR scanner brings new capabilities to the field of autonomous driving. In this paper, a 3D object detector is proposed with focal loss and Euler angle regression to optimize the detector’s performance. It uses a bird’s-eye view map generated from a LiDAR point cloud and RGB images as input. Results show that the proposed 3D object detector reaches a speed over 46 frames per second and an average precision over 90%. In addition, a more compact detector is also proposed that processes the same input data three times faster with only slightly lower accuracy.
Secure Transaction of Indian Currency through Biometric Technique

In the current era, every country is using the physical currency through the Automated Teller Machine (ATM), but, from the literature, it is revealed that the transaction of physical currency from the ATM is still challenging issue.Therefore, present work is an attempt for secure transaction of currency from the ATM used in the context of Indian country.In this country, ATM machine is not using the transaction of currency using biometric technique which is to be linked through the Aadhar card which is the unique identity of the Indian citizen.A concept of Unified Modeling Language (UML) is used to propose a Unified model with inclusion of biometric technique and further it is validated through the concept of Finite State Machine (FSM).Using presented model, only authorized users may use for transactions of currency.
The Need for Effective Information Security Awareness in Private Financial Company: Case from Libya

The increase in cyber-attacks causes individuals and businesses to face financial loss and reputation damage.Most studies in information security ignore human factors and focus only on information security technological countermeasures, while the security culture of employees is vital for financial organizations.Financial organizations need to ensure that the interaction between employees and the information security system, contributes to the protection of information assets.The purpose of this study is to assess the security gap between how far technology has advanced and how much employees are aware of it.The study indicated that there is a serious problem with information security awareness in private financial organizations.The study concluded that the overall information security awareness of private financial organizations is not favorable to the protection of information assets.There is no appropriate foundation for defining how information security should manage in private financial organizations and the risk identification process.The study recommended that private financial organizations should implement information security awareness and training programs and implement a formal information security policy that aids in addressing threats on the technical, process, and people levels.
DIMENSÃO DA ASSISTÊNCIA MULTIPROFISSIONAL NOS SERVIÇOS DE TERAPIA INTENSIVA DURANTE A PANDEMIA

Objective: It presents concepts about multidisciplinary care in the Intensive Care Unit and its importance in the different knowledge grouped in an articulated and integrated way in health promotion in a pandemic period.Methodology: studies of a bibliography review with a descriptive approach, based on the precepts of publication analysis in the databases of Latin American and Caribbean Literature in Health Sciences (LILACS) and Scientific Electronic Library Online (SCIELO).Results and Discussion: The information found started to be grouped by content similarity, taking into account the approximation of the theoretical axes with the empirical data of the professional reality experienced in the pandemic scenario.Based on the foundations presented in the literature, it is emphasized that patients with contamination of the COVID-19 virus have different signs and symptoms and therefore, assistance measures and therapeutic practices must be varied and complete according to each professional axis, since the eventual control of the development of greater health risks is determined through the need for an adequate multidisciplinary team to work.Final Considerations: Intensive care units require not only professional skill, but also an adequate level of knowledge about patients, both in patients and in friends and family.Recognizing the performance of other professional areas is essential for the part of patients and the management of health services.
ART AND MATHS: UNPUBLISHED NOTES BY ANDREJ BELYJ

The present article studies the early notes by Andrej Belyj (1899). The manuscript was partially published by A.V. Lavrov; however, fragments, which contained mathematical formulae and equations used by Andrey Belyj to prove his ideas, were omitted. Young Boris Bugaev was under a strong infl uence of his father, professor N.V. Bugaev, whose theory of ‘arhythmology’, that combined maths, logic and philosophy, resonated not only with the world of science, but also with the Russian culture of the early 20th century. Among Bugaev’s followers was P. Florenskij, who developed professor’s idea in his thesis On the Peculiarities of Flat Curves as Places of Interrupted Discontinuity (1904). Lena Szilard points out that there is a strong connection between Andrej Belyj’s literary articles and P. Florenskij’s works on maths. Relevance of the published material is supported by continued interest of researchers to both the ‘Andej Belyj and Pavel Florenskij’ issue and works by V. Khlebnikov, whose ‘zaum’ also has strong links to maths. The extract from Anrej Belyj’s notes is preceded by a brief introduction, which reviews papers on B. Bugaev’s diaries for the year 1899 and summarizes L. Szilard’s articles comparing Andrej Belyj’s literary works, P. Florenskij’s philosophy and V. Khlebnikov’s ‘zaum’. The published notes contain B. Bugaev’s argument on lyric and epic explanations of the essence of things in art and his idea that the two approaches are connected with subjective and objective methods respectively. Andrej Belyj proves that the predominance of emotions in a literary work cannot be used as a criterion for attributing it to ‘lyric’ and ‘subjective’ and shows how the value of an artistic work can be assessed using mathematical equations.
Paraconsistent Transition Systems

Often in Software Engineering a modelling formalism has to support scenarios of inconsistency in which several requirements either reinforce or contradict each other.Paraconsistent transition systems are proposed in this paper as one such formalism: states evolve through two accessibility relations capturing weighted evidence of a transition or its absence, respectively.Their weights come from a specific residuated lattice.A category of these systems, and the corresponding algebra, is defined providing a formal setting to model different application scenarios.One of them, dealing with the effect of quantum decoherence in quantum programs, is used for illustration purposes.
SIMULATION OF THE TRAJECTORY OF AN ELECTRIC WHEELCHAIR CONTROLLED THROUGH PROGRAMMABLE LOGIC CONTROLLER AND HMI

This paper presents a software module made by means of a programmable logic controller and an HMI (Human Machine Interface), designed to control the movement of an electric wheelchair. By developing this module, a major advantage is offered to people with disabilities, who have movement difficulties. By implementing this command on a wheelchair, people can move independently using this machine that can be controlled from a touch screen. In this direction, the user has the possibility to choose the following directions of movement of the car: forward-backward and left-right, as well as the possibility to impose the speed of movement. The software program was created using ladder diagram language, and the user interface is provided through an HMI.
A Hybrid Method of Backpropagation and Particle Swarm Optimization for Enhancing Accuracy Performance

Aims: Backpropagation is an algorithm for adjusting the weight of neural networks in the training stage. The performance of backpropagation has proven superior in optimizing the weight of neural networks; however, this method needs improvement in the initiation stage, where the random process creates local optimal solution. Applying an algorithm based on the global search is an alternative to solve the drawback of backpropagation. One global search method with superior performance is particle swarm optimization. In this research, we apply the hybridization of backpropagation and particle swarm optimization (BP-PSO) to overcome the problem of backpropagation.&#x0D; Study Design: Research Papers and Short Notes.&#x0D; Place and Duration of Study: Department of Informatics, Faculty of Mathematics and Natural Sciences, Udayana University, between June 2022 and November 2022.&#x0D; Methodology: The dataset used in this study is a handwriting image dataset of the mathematical symbol. There are 240 symbols consisting of 180 images for training and 60 for testing. The robustness of the PSO method in obtaining the optimum global solution is expected to help backpropagation out of local optimal solutions. The application of PSO is carried out at the initial weight initialization stage of the artificial neural network. The tuning parameters of the artificial neural network are the number of neurons in the hidden layer and the value of the learning rate. There are three combinations in the number of neurons in the hidden layer, namely 10, 20, and 30. Meanwhile, the learning rate values are five different combinations, namely 0.1 to 0.9, the minimum error value is 0.01, and the maximum number of epochs is 1000. We carry out five repetitions in each test scenario.&#x0D; Results: The performance results showed that PSO has succeeded in optimizing backpropagation, where the accuracy of the BP-PSO is higher than BP without optimization. The accuracy of BP-PSO is 97.2%, while the BP is 94.4%. The optimal learning rate value and the optimal number of hidden layers are 0.1 and 30 neurons, respectively.&#x0D; Conclusion: The performance results showed that PSO has succeeded in optimizing backpropagation, where the accuracy of the BP-PSO is higher than BP without optimization. The optimization process of weighting the artificial neural network as the initial weight for later retraining shows a higher average accuracy, while decreasing the average number of epochs does not optimize initial weight.
Sentiments Analysis Study for the Adaptation of Online Medical Forums

Online medical forums allow users to research medical treatments or conditions and gain support from other users dealing with similar issues. These forums have become increasingly popular over the past decade, helping connect medical patients and professionals from various backgrounds and creating a supportive online community. This paper evaluates the adaptation of online medical forums in Nigeria, to analyse the opinions of Nigerian citizens in using the medical system. In this research, a Tweepy API (python library/ module that contains the required object and functions for managing the Twitter data), textblob (python library for processing textual data), and matplotlib modules (for creating statistical charts) were used to extract related tweets from the Twitter. The project involves steps like creating a Twitter developer account, which gives the privilege to create a Twitter application and has keys for accessing online resources. The analysis begins by searching for the data, storing it, filtering it and then returning the sentiment analysis to review the positive, neutral, and negative tweets. The output of this project returns a table and scatter graph that displays the Subjectivity and polarity of the opinions of Nigerians on the adaptation of online medical forums. Similarly, a bar chart is obtained that shows the positive tweets, the negative tweets and the neutral regarding online medical forums.
Role of GraphDB in FinTech, Blockchain Ledgers

GrpahDB stores data in nodes and edges, nodes represent entities and edges represents the relationship between entities. The role of GraphDB in the blockchain is described as blockchain uses blocks and these blocks are connected through hashcode to store the data. In cipher language, hash is the irreversible conversion of data which makes it impossible to decrypt. Blockchain also uses proof of work system, in which data is entered only if maximum people allows verifies it. And once anything entered into ledger, it cannot be altered or deleted. The paper has provided how hashing &amp; indexing, query processing, transaction management, data management and data distribution is done for GraphDB into ledger, with previously done work and libraries to build and manage GraphDB blockchain.
Evaluation of Teaching Reading Strategies Used by Early Grade Teachers

Importance of reading skills is admissible especially for early graders’future learning. However, there is interdependency between students’reading skills and their teachers’ ‘teaching reading strategies’. Hence thefocus of the current study was to evaluate ‘teaching reading’, i.e. phonemicawareness, word recognition, reading fluency and text comprehension, toearly grades by reading teachers. For this purpose, quantitative researchwith survey method was based on field observation was conducted. Selfdeveloped tool i.e. structured observation schedule was used for datacollection. The data was collected through performance checklist, hence amanageable sample, through convenient sampling in the sense ofwillingness to be observed, was selected of primary school Englishteachers (n = 10). Three consecutive observations were conducted of eachparticipant of the study. Descriptive statistics, i.e., frequencies, percentageand mean were used to analyze the collected data. The results of the studyshow that generally the teachers focus on oral expression and meanings ofdifficult words. While majority of them least use ‘teaching readingstrategies recommended for developing phonemic awareness, fluencythrough repeated reading practices among students and the strategieshelpful for text comprehension