Reviewerly/exHarmony huggingface dataset:
The Effect of Using the Guessing Game Method on Decriptive Text on the Second Grade Students of SMP Swasta Satria Dharma Perbaungan in Academic Year 2021/2022

This study aims to determine the effect of the use of the Guessing Game method in learning Descriptive Text. This research was conducted by seventh grade students of Satria Dharma Perbaungan Private Junior High School. This research method used quantitative methods with a pre-test-post test research design. Sampling was carried out by dividing the group into 2 classes, namely the experimental class and the control class. measurement to collect data and written test tools t. The results of the data found the effect of handling is 1.67 The conclusion is that there is a good influence from the use of the guessing game method in learning descriptive text.
Accelerating Stochastic Newton Method via Chebyshev Polynomial Approximation

To solve large scale optimization problems arising from machine learning, stochastic Newton methods have been proposed for reducing the cost of computing Hessian and Hessian inverse, while still maintaining fast convergence. Recently, a second-order method named LiSSA [12] was proposed to approximate the Hessian inverse with Taylor expansion and achieves (almost) linear running time in optimization. The approach is very simple yet effective, but still could be further accelerated. In this paper, we resort to Chebyshev polynomial and its variants to approximate the Hessian inverse. Note that Chebyshev polynomial approximation is broadly acknowledged as the optimal polynomial approximation in the deterministic setting, in this paper we introduce it into the stochastic setting of Newton optimization. We provide a complete convergence analysis and the experiments on multiple benchmarks show that our proposed algorithms outperform LiSSA, which validates our theoretical insights.
Analysing the Impact of Gender Classification on Age Estimation

Age estimation from facial images is one of the most popular fields of research concerning deep learning and convolutional neural networks. However, there are several factors influencing the final accuracy that require special consideration, and in this research, we examine how gender classification affects age estimation. We use a predefined version of the MobileNetV2 convolutional neural network and train it on the CASIAWebFace dataset which we augmented with our private dataset called AgeCFBP. For the purpose of testing the network performance, we used the FG-NET dataset. The results of our experiments showed that gender pre-classification has a measurable impact on age estimation in both male and female population by decreasing Mean Absolute Error (MAE) metric, which might lead to enhanced applications in real-world scenarios, such as biometric authentication, security systems, human-computer interaction, and age-restricted content access control.
Analysis of Learning Difficulties for Students of MAN 2 Makassar

One of the causes of the decline in the quality of education is the large number of students who experience learning difficulties. The purpose of this study was to determine the learning difficulties experienced by students in class XI MAN 2 Makassar. The aspects observed in learning difficulties at MAN 2 Makassar include learning motivation, learning media, learning processes, use of learning tools, as well as learning support facilities and facilities. This study uses a quantitative approach using a survey method research type. The population in this study were students from class XI MIPA at MAN 2 Makassar and the sample in this study were students from MAN 2 Makassar class XI MIPA 1 and MIPA 2 with a total of 53 participants. The data collection technique uses a survey which contains 30 questions developed based on aspects of learning difficulties and distributed via the Google form. The results showed that the learning difficulties of students in class XI MIPA at MAN 2 Makassar in the aspect of learning motivation had a moderate categorization with an index of 55.07%, low learning media with an index of 79.4%, a low learning process with an index of 74%, the use of learning tools low with an index of 66.7% and learning support facilities and facilities which are classified as low with an index of 66.1%.
Assessment of the influence of motivational factors on the work efficiency of specialists in institutions of general secondary education

The purpose of the article is to identify and evaluate motivational factors affecting the work efficiency of specialists in general secondary education institutions. The methodological basis of the research is conducting a survey based on the «Barriers of Pedagogical Activity» methodology to determine the factors that contribute to and hinder the learning, development, and self-development of specialists of a general secondary education institution. The scientific novelty of the obtained results lies in the identification of a complex of positive and negative factors of motivation for the labor activity of specialists, since motivation is the main driver of the labor activity of specialists. Conclusions. It is motivation that is the main factor of effective labor activity, and the definition of positive and negative factors that affect the work of specialists makes it possible to understand motivation factors and more effectively apply motivational factors in managing the work of specialists. Keywords: motivation, professional activity, work, specialists, institution of general secondary education.
Development of the Ideas of Biology Textbooks from 5th, 7th and 10th Grade (Us Experience, State of California)

The problem of using the most appropriate teaching materials and resources in high school education is relevant in the United States, especially in today's world of digitalization and technology of education. The development of American textbooks from the founding of the United States to the present day has undergone many and significant changes to reach its present form. The article examines and illustrates with examples some of the high school biology textbooks used in the United States that are taught today. The examples show the various methods and tools used for the effective teaching, learning and assessment of biology in American high school, meeting the new standards of academic knowledge presented in them. The textbooks described by American publishers include the teaching of biology in two junior high classes – 5th and 7th and one high school class – 10th.
Design and SWOT Analysis of Compost Shredder Machine at Waste Processing Sites - Reduce, Reuse, Recycle (TPS-3R)

Reduce, Reuse, Recycle Waste Management Site, abbreviated as TPS-3R according to Government Regulation No. 27 of 2020, is a place where collection, sorting, reuse, and recycling activities are carried out on a regional scale. This TPS-3R design has a size of 20 x 10 meters. Following the regulations stipulated that the TPS-3R must have an area of more than 200 m2. TPS-3R has separate rooms to process the waste that enters the TPS. Seen here is a room that contains a milling machine or chopping machine and organic waste sifter machine. The innovation provided by TPS-3R is the presence of an organic waste shredder and a compost shredder machine. Both of these machines function to speed up composting and can produce large amounts of compost in a short time. The waste shredder is the most appropriate technology for processing organic waste using a diesel engine with a capacity of 500-700 kg/hour. With the compost shredder machine in TPS-3R, it is hoped to speed up the processing time for sifting the compost material. Accurate cost planning calculates the volume of work, the prices of various materials, and work on a building or project based on actual data.
Encryption and Decryption Process of RGB Colour Image Using by Matrix Method

In this research work, we propose a new technique for RGB colour image encryption based on permutation matrix. The colour image is encrypted into Red, Green and Blue channels where each channel uses a double permutation key technique for assigning a new colour to every pixel of RGB colour image. Each channel is encrypted with a technique known as double permutation key encoding, which assigns a different color to each pixel of an RGB color image.&nbsp; Additionally, we present a novel approach of partite block encryption. The number of possible encryptions is supplied along with a detailed study of the encryption of a 9-pixel image. Additionally, the Matrix representation effectively conveys the decryption process.
The Influence of Cybercriminal Activities to the Human Society

Cybercrime has increased exponentially in conjunction with the introduction and widespread use of electronic medium. As the technological advancements take shape, so do the systems of evolution of cybercrime. This implies that new forms of cybercrime are emerging to counter the new technological innovations, which has led to an increased concern in the whole endeavor of crime on the internet. Most users of the online applications are weary about the increasing trend of criminal activities, where in real essence, if these harms are not regulated, the use of the internet would be akin to vulnerability to both social and economic risks. This is not just confined to one area, but rather is occurring worldwide. Some progress has been made to counter this type of crime, but criminal legislation which crosses international borders is severely lagging behind. It is imperative that with the increasing advancement in the levels of crime, all the stakeholders must come up with proactive measures that could help resolve this issue for once and for all for a moral definition of the sue of the internet. Some sort of public policy must be adopted, according to individuals, educational institutions, organizations and corporations who are interested in combating this wave of crime.
Research on the Estimation of Gaze Location for Head-eye Coordination Movement

Abstract Sight is the main source for humans to obtain information from the outside world. Due to the structure of the human eye [1], the range of human sight is limited. For this reason, people need to constantly move their line of sight when observing the surrounding environment and the target, and the movement of the sight is based on the coordinated movement of the head and the eye[2]. Therefore, the key issue for gaze research is how to correctly establish the relationship between head-eye movement and gaze movement. Taking the simulated flight environment as the research background, this paper collects a large number of head-eye images through the designed “three-camera and eight-light source” head-eye data acquisition platform, and proposes a gaze estimation method based on the combination of appearance and features, which effectively combines The relationship of head-eye coordination movement. Then, the ResNet-18 deep residual network structure and the traditional BP neural network structure are used to complete the effective fusion of the head pose and human eye features in the process of capturing the sight target, so as to realize the accurate estimation of the sight drop point, and its average accuracy up to 89.9%.
Camouflaged image cryptosystem based on compressive interference against deep learning

In this paper, our previously proposed compressive interference-based image cryptosystem (CIBC) is utilized to develop a camouflaged image cryptosystem, in which a secret image is camouflaged by a meaningful image. During the encryption process, a secret image is encoded into two sparse and complementary phase only masks (POMs) by CIBC under the constraints of two binary amplitude masks(BAMs), in which the BAM can be taken as a private key. Then, a camouflaged image is encoded into another two POMs by CIBC under the constraints of the two POMs generated in the aforementioned step, and the two final POMs are stored and transmitted as ciphertexts. In the decryption process, only authorized users, who can access the ciphertexts, public and private keys simultaneously, can retrieve the decrypted secret image. Otherwise, even if the eavesdropper cracks the ciphertexts and the public keys, only the camouflaged image can be directly obtained, which can confuse the eavesdropper and then protect the secret image. Several simulation experiments were demonstrated to verify the feasibility and security of this cryptosystem.
CONCEPTUAL METAPHORS IN AUGMENTED REALITY PROJECTS

Purpose. The objective of this study is to conduct a semiotic analysis of augmented reality projects, with the aim of establishing patterns and identifying the most common conceptual metaphors. The study seeks to determine the impact of these metaphors on functional and symbolic form.&#x0D; Methodology. To achieve the research goal, the visual materials were subjected to visual-analytical, formal, functional, and semiotic analysis methods.&#x0D; Results. The present study identified the eight most common metaphors used in AR project design, namely the magic mirror, false window, active print, X-ray vision, geo-layer, aquarium, visor, and flashlight. The impact of these metaphors on the functional-figurative form can vary depending on the metaphor chosen, and may set more blurred or specific boundaries. It was found that metaphors differ not only in their figurative-semantic differences, but also in the viewer’s position regarding representation, the type of first or third-person view, the impact on the imagery of the content, and the nature of interaction with space. While most metaphors benefit from the use of three-dimensional graphics, some, such as mirrors, active print, and sights, can use two-dimensional graphics without depriving AR of the feeling of naturalness. One technique for playing with metaphors is to go beyond conventional boundaries and manipulate space. The study also revealed that AR based on video mixing more frequently uses metaphors than optical mixing, which can directly merge with the environment. It was demonstrated that using the same metaphor does not limit the creative potential in solving tasks, and leaves the designer sufficient space for maneuvering and the possibility of both literal and formal following of the metaphor. Overall, the findings of this study contribute to a better understanding of the role of metaphors in AR project design and provide insights for designers to effectively use metaphors to enhance user experience.&#x0D; Scientific novelty. An analysis of augmented reality (AR) projects was conducted with the aim of identifying conceptual metaphors. A synthesis of these conceptual metaphors was performed, followed by a typology-based classification of the AR projects grounded in the identified metaphors.&#x0D; Practical significance. The findings of this research contribute to the theoretical foundation of designing AR products by providing a framework for representing AR design concepts. The identified metaphors can be utilized as a guide for designers to develop effective AR interfaces.
INTERIOR DESIGN PRINCIPLES OF INCLUSIVE PRESCHOOLS

The aim of this study is to identify the principles of shaping the interior of an inclusive preschool for children aged 3–6 years based on an analysis of modern ideas of inclusive kindergarten design and research in child behavioral psychology.&#x0D; Methodology. The following theoretical and specialized research methods are used in this study: analysis of literary sources and normative literature on the research topic, comparative analysis of projects implemented within the framework of inclusive kindergartens, and methods of systematization, synthesis, and data generalization.&#x0D; Results. The study has identified six fundamental principles for shaping the interior of an inclusive preschool for children aged 3–6 years. These principles are based on both child behavioral psychology and modern practices in designing kindergarten interiors. The identified principles are the “principle of openness”, “principle of difference”, “principle of creativity”, “safety principle”, “principle of fun”, and “principle of naturalness”. By utilizing these principles, a modern methodology for interior design of inclusive kindergartens can be developed, which will include specific techniques for each principle. The outcome will be a space that provides children with a sense of security, comfort, interest and contributes to their overall harmonious development.&#x0D; Scientific novelty. The study presents the principles for interior design of inclusive preschools, which will aid designers in creating a harmonious and inclusive kindergarten space that supports the comprehensive development of a child's personality. This study advances the development of interior design for inclusive kindergartens, taking into account new societal needs in modern conditions.&#x0D; Practical significance. The findings of this research have practical implications for the field of interior design in inclusive kindergartens as well as for students in the Environmental Design program. The identified principles can serve as a guide for designers in creating a harmonious and inclusive space that promotes the comprehensive development of children.
Implementasi Long Short Term Memory (LSTM) dan Bidirectional Long Short Term Memory (BiLSTM) Dalam Prediksi Harga Saham Syariah

The development of the stock market in Indonesia is currently growing quite rapidly. This can be seen based on the number of investors who have increased every year. In 2011, sharia stocks were launched for the first time in Indonesia, and it can be seen that the price of the stock is not always stable or can experience increases or decreases. For investors, a strategy is needed to predict stock prices in order to make the right decisions in investing. In this study, stock prediction was carried out using the Long Short-Term Memory (LSTM) and Bidirectional Long Short-Term Memory (BiLSTM) methods. The data used in this study is historical closing price data for three Sharia stocks, namely PT Aneka Tambang Tbk, PT Unilever Indonesia Tbk, and PT Indofood Sukses Makmur Tbk. In building the best predictive model in this study based on tuning parameters such as epoch, batch, neurons, as well as an optimizer and dropout regulation techniques to prevent overfitting of the model. The test results show that from the three stock data used, the smallest MAPE value is obtained in the BiLSTM model. The MAPE values obtained for each stock data in this study are sequentially 2,59%, 1,77%, and 1,05%. Based on the MAPE value criteria, the prediction model is included in the very accurate criteria.
Optimization and deconstruction of the poetic: Audio performance by Sergey Samoylenko

The article is devoted to the problem of adaptation of poetry to media environments unusual for it. For the first time the substantiation and theoretical analysis of the concepts of optimization and deconstruction is presented as a dialectical pair, which makes it possible to evaluate the intermedial phenomena of recontextualization and resemantization. One of the accompanying tasks of the article is to identify the artistic possibilities of optimization, to clarify its significance for cross-modal interactions. The material is an audio performance by Sergey Samoylenko “Poetry on the Market: (Non)Market Values”. As a result, the component composition and design of the project, tasks and results, the use of adaptive technologies (deconstruction, optimization, agreement) were analyzed. It was shown that performance consists of components that take into account possible future optimization, includes an exploratory, critical setting, and therefore deconstructive logic manifests itself, for example, in the choice of material and space. However, the adaptive processes of the performance itself came into conflict with the deconstruction-optimization design of the idea, which showed the need to take into account the natural optimization coming from the recipients themselves, since it is precisely this that is a transgressive element that creates the artistic potential of creative optimization.
Career Track Based Capstone Course Design for Information Systems Curriculum

The aim of technical education is to design a career-based curriculum that imparts a set of skills to students and enable them to contribute to a nation's economic progress. With their multifarious uses, information systems (IS) lie at the heart of modern economies. IS curricula offer several tracks for students to pursue career paths based on their interests and opportunities. To offer students an opportunity to apply the knowledge they glean from classroom instructions on real-world problems, capstone projects are essential elements in most, if not all, IS programs. As IS programs increasingly offer a wider range of career paths for students, the design and delivery of such capstone projects present a set of unique challenges. In this paper, we examine the set of challenges and share our experience from designing and delivering a career track-based capstone course for the first time at a large university. Feedback from students and faculty supervisors indicates that the course was able to meet its learning objectives to a notable extent and offered important pointers to future improvements in the course design.
Beyond Applications: Interaction Substrates and Instruments

This paper introduces a new interaction model based on the concepts of interaction substrate for organizing digital information and interaction instruments for manipulating these substrates. This approach makes the concept of application unnecessary. Instead, it leads to flexible and extensible environments in which users can combine content at will and choose the tools they need to manipulate it. We present Stratify, a proof-of-concept implementation that combines a data-reactive approach to specify relationships among digital objects with a functional-reactive approach to handle interaction. This combination enables the creation of rich information substrates that can be freely inspected and modified, as well as interaction instruments that are decoupled from the objects they interact with, making it possible to use instruments with objects they were not designed for. We illustrate the flexibility of the approach with several examples and present directions for future work.
Sistem pakar mendeteksi gangguan emosional menggunakan forward dan backward chaining

Mental health conditions in Indonesia are increasing due to lack of attention to one's own mental health, including emotional disorders which are included in mental disorders. Most Indonesians are not aware of and ignore the symptoms that lead to emotional disturbances, even though mental health is as important as physical health. Therefore it is necessary to have an expert system to diagnose emotional disorders in order to help detect emotional disorders and provide initial advice on handling emotional disorders suffered. In this study, according to the referrals provided by experts on mental health disorders, it consists of 5 categories, namely hypochondriasis, paranoia, psychopaths, schizophrenia, hypomania and the system will provide initial advice on handling the emotional disorders suffered. This system uses the forward chaining method with backward chaining to determine the diagnosis of emotional disorders as well as providing early treatment advice in the form of prevention to anticipate the worsening mental health condition that is being experienced. The results of this study with 30 test data that have been tested on the system, the system provides results in the form of an early diagnosis of emotional disorders along with initial advice on prevention with an accuracy rate of 86,6 %.