Reviewerly/exHarmony huggingface dataset:
Design Prototype of Simple Jarimatic Visualization Application Model, Attracting, Motivating Early Children to Learn and Grow

The main purpose of this work is to develop a model or product design into a final product that can meet user demands. The methodology of this study is the product development by making designs, samples, or models with the aim of testing the concept or work process of the product. In the product development process, users can take part in the product development process by evaluating and providing feedback. Therefore, we create a prototype design for a simple, attractive, and attractive Jarimatika visualization application model that motivates early childhood to learn and grow, which results in a product development of the Jarimatika Visualization Software.
CLASSIFICATION OF DEVELOPMENTAL AND BEHAVIORAL PROBLEMS, DIAGNOSTIC WORKS CARRIED OUT WITH TYPES OF VEHICLES

The growing interest in this topic in recent years is due to the increase in the number of children suffering from developmental and behavioral problems characterized by emotional empathy. According to research, one in eight children born with developmental and behavioral problems. According to the literature, such children can be withdrawn, aggressive and sometimes calm, accompanied by stereotypes, attachment to objects or various objects. The choice of the topic was motivated by my desire to investigate, reveal, highlight small details about children suffering from this problem, to adapt to society and try to be one of them. The exact causes of developmental and behavioral problems in modern times are not known to science and have not yet been fully explained. However, numerous studies have shown that there are more than one factor influencing the development and behavior of problems. In the 1970s and 1971s, many professionals saw education as the main cause of developmental and behavioral problems. Thus, experts living at that time thought that the main cause of the disease depends on the proper upbringing of parents by their children.
Smartphone-based Robot Design Training with Voice Control for Senior High School in Tasikmalaya City

The main objective of this work is to provide training to build smart phone-based smart robots with voice control to teachers at Senior High Schools, Tasikmalaya City, Indonesia. This robot consists of various electronic components such as Arduino, IC L293D, Bluetooth Module HC05, dynamo, gear box and battery. In addition, we have used several software to build intelligent robots such as Arduino software for uploading a command and AMR voice application for controlling via voice commands. The results showed that the teachers had succeeded in making robots with voice control for forward and backward commands with the help of the AMR voice application. In addition, the results of this training are expected to increase the creativity of teachers in the learning process and as teaching materials to create an active and collaborative class.
THE DECISION SUPPORT SYSTEM IN SELECTING THE OUTSTANDING STUDENTS AT SMKN 1 TULANG BAWANG USING ANALYTICAL HIERARCHY PROCESS

In the era of globalization, many information technology developments in the field of education began to develop administrative systems using information technology, one of which is by using web-based applications.Decision Support system for the selection of the outstanding students In SMKN 1 Tulang Bawang Using Analytical Hierarchy Process Method the system processes the calculation and disbursement of student achievement data with PHP programming language and Php MyAdmin as a tool to help manage databases using XAMPP.The Decision Support System for The Selection of Outstanding Students can provide convenience for the school in monitoring students and students can also obtain all information on facilities and news in the school.
Automated breast ultrasound: A comparison study with handheld ultrasound in detection and characterization of lesions in mammographically dense breast

Background: Although mammography is a powerful screening tool in detection of early breast cancer, it is imperfect, particularly for women with dense breast, which have a higher risk to develop cancer and decrease the sensitivity of mammogram, Automated breast ultrasound is a recently introduced ultrasonography technique, developed with the purpose to standardize breast ultrasonography and overcome some limitations of handheld ultrasound, this study aims to evaluate the diagnostic efficacy of Automated breast ultrasound and compare it with handheld ultrasound in the detection and characterization of breast lesions in women with dense breasts. Objectives: To evaluate the diagnostic efficacy of Automated breast ultrasound and compare it with hand held ultrasound in detection and characterization of breast lesions in women with dense breast. Subjects and Methods: A prospective observational study conducted at Oncology Teaching Hospital during the period of ten months from 1st of February till 1st of December 2020. Included 62 women with dense breasts on diagnostic mammograms. All women underwent technician performed automated breast ultrasound and radiologist performed handheld ultrasound for both breasts. All suspicious lesions with selected probably benign lesions underwent biopsy, handheld ultrasound detected 48 masses (67.6%), 15 of them (21.1%) were cystic, automated breast ultrasound detected 54 masses (76.1%); 20 of them (28.2%) were cystic. The sensitivity of handheld ultrasound was=87.5%, Specificity=58.8%, the sensitivity of automated breast ultrasound was=93.8%, Specificity=70.6%. Conclusion: Automated breast ultrasound is an effective modality to detect occult breast lesion in women with dense breasts, automated breast ultrasound and handheld ultrasound have a reliable agreement in detection and characterization of breast lesions with higher accuracy of automated breast ultrasound in the evaluation of malignant lesions.
Evaluation of Several Computer Vision Feature Detectors/Extractors on Ahuna Mons Region in Ceres and Its Implications for Technosignatures Search

Ahuna Mons is a 4 km particular geologic feature on the surface of Ceres, of possibly cryovolcanic origin. The special characteristics of Ahuna Mons are also interesting in regard of its surrounding area, especially for the big crater beside it. This crater possesses similarities with Ahuna Mons including diameter, age, morphology, etc. Under the cognitive psychology perspective and using current computer vision models, we analyzed these two features on Ceres for comparison and pattern-recognition similarities. Speeded up robust features (SURF), oriented features from accelerated segment test (FAST), rotated binary robust independent elementary features (BRIEF), Canny edge detector, and scale invariant feature transform (SIFT) algorithms were employed as feature-detection algorithms, avoiding human cognitive bias. The 3D analysis of images of both features’ (Ahuna Mons and Crater B) characteristics is discussed. Results showed positive results for these algorithms about the similarities of both features. Canny edge resulted as the most efficient algorithm. The 3D objects of Ahuna Mons and Crater B showed good-fitting results. Discussion is provided about the results of this computer-vision-techniques experiment for Ahuna Mons. Results showed the potential for the computer vision models in combination with 3D imaging to be free of bias and to detect potential geoengineered formations in the future. This study also brings forward the potential problem of both human and cognitive bias in artificial-intelligence-based models and the risks for the task of searching for technosignatures.
Difference Strategy Coping to Stressor Face Exam

Facing a thesis exam is the last process that must be passed by students to complete their studies in Higher Education.The stress level experienced by students is predicted to have a relationship with coping strategies used.In the coping strategy, the variable students use problem-focused coping by 90% and use emotion-focused coping by 10%.In the stress, variable students experience high-stress levels of 53.3% and low stresses of 46.7% of the total sample of 150 students.The results of the bivariate correlation analysis with the Spearman rank test showed r count = 0.470 and r table = 0.361.This means that there is a significant relationship between the coping strategy variable and the stressor variable facing the thesis examination in the students at Universitas Islam Negeri Raden Intan.
Identification of Authorship through Religion: Role of Forensic Stylistics

Abstract: The main objective of this study is to bring the importance of Forensic Stylistics in light of scientific examination in fixing authorship of the writer. Thorough study of written language present in the writings of an individual belonging to a particular religion in case of anonymous letters, ransom notes, threat letters etc. will lead to the identification of the religion. With the help of Forensic Stylistics, Forensic Document examiner will be able to determine the written language, use of common words in different religion, which in turn will facilitate in identification of the religion. Forensic stylistics help in the identification of an individual which is equally important to find out the religious background, spiritual belief and religious teachings which remain with the writer as a distinguishing features or characteristic features of the religion from which the writer belongs to. For comparison, the standards may not be available most of the times, therefore a detail and thorough study of the writing purported to be written by a particular person can establish the religious group of the write. [1-2] For the study, 150 samples of 5 different religions were collected out of which 80 samples belonging to three different religious groups, i.e Christian, Hindu, Islam are taken into consideration to ascertain the religion of the writer.
Salient Image Matting

In this paper, we propose an image matting framework called Salient Image Matting to estimate the per-pixel opacity value of the most salient foreground in an image. To deal with a large amount of semantic diversity in images, a trimap is conventionally required as it provides important guidance about object semantics to the matting process. However, creating a good trimap is often expensive and timeconsuming. The SIM framework simultaneously deals with the challenge of learning a wide range of semantics and salient object types in a fully automatic and an end to end manner. Specifically, our framework is able to produce accurate alpha mattes for a wide range of foreground objects and cases where the foreground class, such as human, appears in a very different context than the train data directly from an RGB input. This is done by employing a salient object detection model to produce a trimap of the most salient object in the image in order to guide the matting model about higher-level object semantics. Our framework leverages large amounts of coarse annotations coupled with a heuristic trimap generation scheme to train the trimap prediction network so it can produce trimaps for arbitrary foregrounds. Moreover, we introduce a multi-scale fusion architecture for the task of matting to better capture finer, low-level opacity semantics. With high-level guidance provided by the trimap network, our framework requires only a fraction of expensive matting data as compared to other automatic methods while being able to produce alpha mattes for a diverse range of inputs. We demonstrate our framework on a range of diverse images and experimental results show our framework compares favourably against state of art matting methods without the need for a trimap
Borderless Table Detection and Extraction in Scanned Documents

Automated detection and extraction of tabular data from scanned documents is a difficult task. Detecting and extracting information from tables without any borders becomes more challenging even with the state-of-the-art OpenCV based solutions. There have been few approaches suggesting the solutions based on deep learning models but none of the open-source solutions performed well when table boundaries are not visible. In this paper, we are proposing a novel end-to-end solution that works well with borderless tables of different layouts and templates. The proposed method consists of two stages. First stage is automated table detection irrespective of the format, border and layout of the scanned documents using custom trained deep learning model. Second stage is a novel OpenCV based custom algorithm which utilize blob detection to define row–column relationship of each cell. This information is used to extract the data into.csv/.xlsx format. Our proposed algorithm was evaluated on more than 100 images and has achieved an average table extraction accuracy of 98.4% outperforming many state-of-the-art models.
The Education System as an Open Information Paradigm of a Modern Technogenic Society

In this article, the author analyzes two systems of educational communication - post-Soviet and the most modern. At that, the most modern is defined as one that is fully dependent on the use of advanced public techniques and technologies, creating a so-called culture of public individualism of the educational space. It is proved that the modern public-educational space, striving for the conditions of technogenic singularity, acquires new open models of social-educational practices, which significantly change not only the criteria of social identification of the younger generation but also actualize the compromise between conformist multiplicity and identical integrity of higher education seeker. Public-educational interactions of technogenic society as a moral-communicative discourse in modern technogenic educational programs have a hidden manipulative nature, which is focused not on self-identification but collective interpersonal communication. In this communication, an important role is given to surrogate visual and public representations, which do not always carry the required educational load but only blur the information field, filling it with dual meanings. Intensive activities are being carried out in Ukraine to attract universal values and democratic ideals of Western society, but the public minority remains the key mechanism of social control over the majority. In this regard, the notion of communicative competence of a modern young person who studies and is always in a changing and information-saturated public-educational space acquires special significance.
Secure Optical Communication Using a New 5D Chaotic Stream Segmentation

According to its complex properties like ergodicity, unpredictability, and sensitivity to its initial states, chaotic systems are ‎attracting more and more attention and are widely used for security purposes. Moreover, ‎the chaotic signals are considered suitable for spread spectrum modulation due to their wideband properties. It is able to reduce the peak to average ‎power ratio (PAPA). This paper presents a new Dynamic Diffeo-Difference Multi-Dimensional (DDD-MD) system. It is used as ‎a key for a new cryptosystem designed based on the chaotic stream segmentation (CSS) method. The proposed ‎system provides the best trade-off between efficiency, robustness, and high data rate transmission. The behavior of the ‎proposed chaotic system is evaluated numerically by analyzing the Lyapunov exponent spectrum, complexity, and attractor ‎phase diagram. Besides, it is practically assessed based on the principle of system ‎circuit design; the circuit diagram of the system is prepared and simulated by Multisim, which shows high consistency with ‎the numerical simulation. These evaluations show that the proposed system has a rich dynamics behavior to be realized in ‎an encryption system and provides a foundation for many engineering and physical applications‎.
Pedagogical conditions for the introduction of blended learning technologies in ukrainian higher education institutions

The study focuses on the pedagogical conditions for the introduction of blended learning technologies. Blended learning is a combination of classical live face-to-face learning with learning mediated by computer and other technologies. Approaches to the definition of “blended learning” have been analysed. The author has described the main advantages of blended learning. The range of problems associated with the introduction of blended learning has been studied. The author has also analysed the criteria of the blended learning system effectiveness. Teachers of Ukrainian HEI have been surveyed concerning the process of introduction of blended learning technologies. The general assessment of blended learning technologies according to the teachers of HEIs has been clarified. Blending distance learning platforms used by teachers have been determined. Most often, teachers use Zoom, Moodle and Google Class. The peculiarities of HEI teacher’s adaptation to the blended learning conditions have been studied. Almost half (48%) of respondents stated they had problems in adapting to blended learning conditions. The most common problems of teachers in the conditions of the blending distance learning have been described. It has been found that teachers most often encounter problems related to the processes of distance communication, as well as lack of experience and necessary knowledge. Respondents’ points of view on the possibilities of assistance in the form of methodological developments and in the online format have been analysed. A set of measures aimed at improving the pedagogical conditions for the introduction of blended learning technologies has been developed.
Dynamics of Future Psychologists’ Soft Skills Development During their Study at the Higher Education Institution

The article examines the dynamics of soft skills development as a factor of successful professional activity of future psychologists at different stages of their higher education training. The term "soft skills" means a set of personality traits, social skills, communication skills, personal habits, friendliness and optimism. It also includes individual, communication and management skills. It is stated that for successful professional activity, such groups of psychology students’ soft skills as communication skills, personal performance, management skills, strategic skills and critical thinking should be developed. To study the dynamics these soft skills groups development, the diagnostic study was conducted among first-, third- year and master’s degree students majoring in Psychology at Khmelnytsky National University. According to the research results, it has been concluded that while studying at a higher education institution, psychology students have a positive dynamics of changes of soft skills development. However, there is a number of first- and third-year students with poor communication and organizational skills, leadership skills, stress resistance and critical thinking. Considering this fact, there is a strong necessity to work out and implement ways of soft skills development for future psychologists.
The Effectiveness of Incorporating Augmented Reality in Print Design Course

The course intention of print design is to teach students about layout design and how a physical print book is designed and formatted. By incorporating Augmented Reality (AR), the physical print book is believed to achieve outcome-based learning objectives for undergraduate students in improving their design skills.
Developing Professional Competency in First Aid in Future Coaches in Ukraine

The article deals with theoretical and methodical aspects of developing professional competency in first aid in future coaches of Ukraine. It aims to theoretically justify and experimentally verify the methodology for developing professional competency in first aid in future coaches based on simulation learning. The research hypothesis assumes that the level of professional competency in first aid in future coaches will increase if the author’s methodology has been implemented in their training based on simulation learning and taking into account neurophysiological factors. The article proves that simulation learning, along with the use of such approaches as “four steps”, “positive criticism” and “continuous assessment” in the framework of such components of professional competency as motivation and values, knowledge and practice, personal and psychological aspects, organization and communication, leads to positive changes in the development of professional competence in first aid in future coaches. The international relevance of the article is as follows: for the first time in the post-Soviet space, it has been suggested to improve theoretical and methodological aspects of developing professional competency in first aid in future coaches, taking into account neurophysiological factors and current trends; the author’s methodology for developing competency in first aid on the example of Ukraine, which is available for the countries with ongoing reforms education, has been presented.
Exploiting Post-Click Behaviors for Recommender System

In recent years, recommender systems become an effective technique to address the information overload problem on the Web, targeting the delivery of most relevant items and information to individual users based on their historical behaviours. To build an effective recommender system, implicit feedback like user click has been harvested. Since click data is usually very noisy, recent works also leverage dwell time as a proxy to optimize user engagement. However, dwell time is just one-dimensional post-click behaviour. The multi-dimensional post-click behaviours, e.g., reading comments, browsing images, and other sub-modules, have not been fully exploited. To address this issue, in this paper, we study leveraging post-click behaviours to improve user engagement in recommendation systems. We first take an E-commerce recommender system as an example to define post-click behaviours and demonstrate their effects with respect to user conversions. Based on the analysis, we then propose a tree-based labelling model, which provides a new perspective to understand user engagement beyond CTR or dwell time. The labelling model can be further incorporated into state-of-the-art recommendation methods. Extensive experiments on the dataset from JD.com, a real-world E-commerce website, demonstrate the competitive performance of the proposed method in both offline and online scenarios.