Reviewerly/exHarmony huggingface dataset:
APPROACHES TO THE ORGANIZATION OF PSYCHOLOGICAL AND PEDAGOGICAL INTERACTION FOR THE PURPOSES OF “DEVELOPMENTAL AND DEVELOPING EDUCATIONAL ENVIRONMENT”

The article characterizes interaction areas of school psychologists and teachers when implementing creative project-based activities. The emphasis is placed on the need of training educational psychologists to be experts in characterizing the ways teaching, focused on the achievements of the modern educational psychology, is organized. There are presented the kinds of cooperation at all stages of the project-based strategy, focused on the support of teachers as active participants of programming and scenario planning of educational and bringing-up situations, responding to the principles of developmental teaching.
PROJECT MANAGEMENT AS A MODERN WAY OF INVOLVING STUDENTS IN ENVIRONMENT-RELATED ACTIVITIES

Changing living conditions require review of working programs in the system of higher education. Training of highly qualified professionals based on the latest achievements of science and technology, cultural and socio-economic development is one of the main goals of higher education institutions. Students’ poor awareness of the close relationship between human activity and the state of environmental components causes depletion and pollution of natural resources, and leads to the loss of biodiversity. In this regard, the purpose of the study was to identify the efficiency of the project method in greening of the students’ professional training and the impact of the project method on development of the students’ green-thinking. The conducted research was targeted at stimulating students' interest in settling environmental issues through project-based activities that provide for the development of skills to practically apply the knowledge gained during the project development. The article is intended for the pedagogical community and students in order to circulate a readymade project solution for the elimination of ecological illiteracy and improvement of sanitation conditions in living quarters. The importance of the work is due to the study utcomes, that allow us to claim the efficiency of using project management as a basis for development of students’ green-thinking.
MENTORSHIP IN PROJECT-BASED ACTIVITIES AS A WAY OF CREATING EDUCATIONAL ENVIRONMENT AT A UNIVERSITY (THROUGH THE EXAMPLE OF SOCIALLY ORIENTED PROJECTS)

The purpose of the article is to characterize the ways of creation of educational environment that allows students to develop their skills in project-based activities and strengthen traditional Russian spiritual and moral values in them by the means of mentorship. The main tasks of the study were the following: to give a more exact definition to the concept of “pedagogical conditions”; to look into the mentoring experience in higher education; to analyze projects and determine perspectives for mentorship through the example of socially oriented projects; to characterize organizational and pedagogical conditions that allow developing skills in project-based activities and strengthening traditional Russian spiritual and moral values in students.
Quantum technologies for secure communications in space

Quantum technologies have been proved useful for space applications, such as for the well-known application of quantum key distribution (QKD). However, QKD shows a number of serious practical limitations and therefore we are interested in different ways of using quantum resources and readily available quantum technology for secure communication in space. Towards this aim, we first of all provide an overview of quantum resources and state-of-the art quantum technologies, specifically sources and detectors. Then, we identify two realistic and related applications for the short-term. The first one is quantum-enhanced communication as quantified by Shannon rates using single-photon detection technology and lasers. In this case, we show illustrative potential gains for Optical On/Off Keying (O3K) communications. The second one is quantum physical layer cryptography, which builds upon quantumenhanced communications. In this case, we show how to realize secure communication in space with quantum resources, cryptographic primitives and without the use of any key, which we call Quantum Keyless Privacy (QKP). It is a variant of the quantum wiretap channel principle hybridized with primitives and technology of QKD. In this case, we discuss the security of QKD and of our method and show that both methods provide information theoretical security.
DEVELOPMENT OF POP-UP BOOK MEDIA FOR 5TH GRADE STUDENTS IN ECOSYSTEM COMPONENTS

Education is one of the needs that must be met in developing one's potential to have religious spiritual strength, self-control, personality, intelligence, noble character, and the skills needed by oneself, society, nation and country. However, based on the problems in the field, it is known that there is no learning media used in the learning process. The purpose of this research and development is to improve student learning outcomes through pop-up book media and to see the differences before and after the use of pop-up book media. The research method used in this research is Research and Development. The sampling technique used in this study used a purposive sampling technique. Data analysis in this study used a paired sample t-test with the help of SPSS 25.0 software. Based on the results of the study, there are differences in pop-up book media before and after the use of pop-up book media and there is an increase in student learning outcomes after using pop-up book media.
Parallel semi-fragile color image watermarking authentication scheme using EXIF metadata

With the growth of digital data, its protection has become a requirement to dissemination it through telecommunication networks. Nowadays, people can easily generate, edit, and share images with their own electronic devices using applications or software to process them. For this reason, in some cases, it is necessary to prove the authenticity of digital images. This paper proposes a semi-fragile color image watermarking scheme for authentication. The proposed scheme embeds EXIF (EXchangeable Image File) metadata of an image as a digital watermark using the LSB method into the Discrete Cosine Transform (DCT) coefficients. EXIF metadata stores relevant information from the image and the digital camera to organize and classify them, such as date, time information, camera settings, and image characteristics. The embedding algorithm is performed by modifying only one mid-frequency coefficient in each eight-by-eight non-overlapped block of the DCT, which offers a significant advantage in reduced processing time. The experimental results demonstrate a watermark imperceptibility according to the objective quality measures PSNR and SSIM values of the watermarked image (43 dB and 0.99, respectively). Additionally, the EXIF metadata can be extracted with 99% accuracy using a completely blind extraction process; it is performed without the original image, original watermark, original camera, or any other derivative information. The simulation results of the proposed method in parallel implementation (multicore CPU and GPU) have shown effective real-time implementation of image watermarking.
Characterizing the visualization design space of distant and close reading of poetic rhythm

Metrical and rhythmical poetry analysis is founded on the systematic statistical analysis and comparison of sonic devices (e.g., rhythmic patterns) that emerge from a combination of pre-established aesthetic and structural rules and the poet's abilities and creative genius to convey a given message adhering to the said constraints. These rhythmical patterns, which have been traditionally obtained by means of a careful close reading of the poems, in a process known as "scansion," can now be obtained and made visible by automatic means. However, the visualization literature is still scarce on approaches that allow an insightful close and distant reading of the rhythmical patterns in a poetry corpus. In this work, we report our initial efforts in characterizing of the visualization design space of distant and close reading of poetic rhythm. By employing a digital version of a corpus of 11,268 verses originally written by the Spanish poet and playwright Federico García-Lorca (1898-1936), we could craft several prototypical visualizations representative of the inherent complexity of the problem which we expect to employ in future user studies and that we share here with the rest of the community to foster further discussion around this interesting topic.
Cell tracking with multifeature fusion

Abstract Cell tracking is currently a powerful tool in a variety of biomedical research topics. Most cell tracking algorithms follow the tracking by detection paradigm. Detection is critical for subsequent tracking. Unfortunately, very accurate detection is not easy due to many factors like densely populated, low contrast, and possible impurities included. Keeping tracking multiple cells across frames suffers many difficulties, as cells may have similar appearance, they may change their shapes, and nearby cells may interact each other. In this paper, we propose a unified tracking-by-detection framework, where a powerful detector AttentionUnet++, a multimodal extension of the Efficient Convolution Operators algorithm, and an effective data association algorithm are included. Experiments show that the proposed algorithm can outperform many existing cell tracking algorithms.
Measuring Methods in Marketing Performance of Plered Ceramic MSMEs

This study aims to analyze marketing performance on the direct and indirect influence of external environmental variables and market orientation through the mediation of product innovation. The data of this quantitative research was harvested from questionnaires distributed to 184 owners of Plered Ceramics business, selected through saturated sampling, and was analyzed using Structural Equation Modeling in SmartPLS. This study finds that external marketing environment and market orientation positively and significantly influence marketing performance and product innovation, that product innovation affects marketing performance, and that product innovation mediates the effect of marketing orientation on marketing performance and the effect of external marketing environment on marketing performance.
The Disaster of Literacy: Prevention of News Forwarding Tendencies on Social Media

One of the indicators of insufficient literacy knowledge in society is their susceptibility to deal with conflict, hate speech, hoax, and defamation. This article represents research findings aimed at exploring the literacy skills of the academic community of IAIN Langsa in accepting disastrous information on news that leads to harmful and misleading content. Moreover, it also aimed at disseminating preventive information for not forwarding news obtained from social media, which is used as a medium of information, to reduce the disaster risks that trigger a moral loss in society. This research applied descriptive methods. The research subjects were students, lecturers, and staff of IAIN Langsa. Data were collected using a questionnaire via Google form and semi-structured interviews.
REVIEW OF VECTOR EMBEDDINGS FUSION METHODS

This paper presents a comprehensive review of the state-of-the-art techniques for embeddings fusion in natural language processing and machine learning. Embeddings fusion refers to the task of combining multiple word or document embeddings into a single representation that can capture the different aspects of the input data. This is typically used in multimodal machine learning applications where inputs come from different sources with different formats or in situations when embeddings are already available and need to be combined in the model. The paper covers various fusion methods, including concatenation, averaging, weighted averaging, and neural network-based approaches. A detailed analysis of the benefits and limitations of each method, as well as the scenarios in which they are most effective is provided. In the paper vector embeddings fusion methods are categorized by model architecture type as well as by fusion type. Moreover, recommendations to choose the optimal type of fusion method given task limitations are described. In addition, the paper discusses the evaluation metrics commonly used to assess the quality of fused embeddings, such as similarity and classification accuracy. Overall, this review paper provides a valuable resource for researchers and practitioners in the field of natural language processing and machine learning who wish to deepen their understanding of embeddings fusion methods and their applications. The insights and recommendations presented in this paper can help guide the selection of appropriate fusion methods and improve the performance of various natural language processing and machine learning tasks. By staying up-to-date with the latest developments in embeddings fusion, researchers and practitioners can continue to push the boundaries of natural language processing and machine learning.
Probing of Hardships and Their Factors of EFL Students in Constructing Text

The objective of this study was to investigate students' hardships and their factors in creating descriptive texts. The subject of this study was the fourth semester of IAIN Sultan Amai Gorontalo's English Education Program. 39 students were involved in this study. Three types of instruments were employed to gather the data: documentation, questionnaires, and interviews. The document was used to evaluate students' proficiency in five writing-related areas. The questionnaire was designed to identify specific challenges with descriptive text composition. The purpose of the interview was to identify factors contributing to students' difficulty in writing descriptive texts. This study employed mix method. This study revealed that students had difficulty with content, organization, and mechanics. In terms of content, students struggled with constructing subject sentences (30.76%), supporting sentences (59.97%), and closing sentences (38.46%). Students had trouble repeating essential terms (28.20%), utilizing linking words (28.20%), and explaining the topic (43.58%). In technical, students experienced difficulty with punctuation (12.82%) and capitalization (20.51%). The factors of hardship were self-motivation, self-confidence, lack of reading, and lack of practice were internal issues. External influences included the chance to write, learning materials and media, and the absence of feedback in the teaching and learning process.
A Study for Comparison of Life Satisfaction, Self Esteem and Coping Styles of Adults from Theatre Background and Non Theatre Background

The purpose of this study was to find out the comparison of life satisfaction, coping styles and self-esteem in adults from theatre background and those without such a background.The study was conducted with a sample of 70 adults ranging between 18 to 35 years .The sampling method used is convenience sampling.This dissertation aims to investigate the differences in life satisfaction, self-esteem, and coping styles between adults with a background in theatre and those without such a background.The study hypothesizes that individuals from a theatre background would report higher levels of life satisfaction, self-esteem, and utilize more adaptive coping strategies compared to those without such a background.The research will utilize a quantitative approach, with data collected through standardized questionnaires from participants recruited from both groups.The findings of this study have implications for understanding the potential impact of theatre involvement on psychological wellbeing and coping skills.
Favorite Book Prediction System Using Machine Learning Algorithms

Recent years have seen the rapid deployment of Artificial Intelligence (AI) which allows systems to take intelligent decisions. AI breakthroughs could radically change modern libraries' operations. However, introducing AI in modern libraries is a challenging task. This research explores the potential for smart libraries to improve the caliber of user services through the use of machine learning (ML) techniques. The proposed work investigates machine learning methods such as Random Forest (RF) and boosting algorithms, including Light Gradient Boosting Machine (LGBM), Histogram-based gradient boosting (HGB), Extreme gradient boosting (XGB), CatBoost (CB), AdaBoost (AB), and Gradient Boosting (GB) for the task of identifying and classifying Favorite books and compares their performances. Comprehensive experiments performed on the publicly available dataset (Art Garfunkel's Library) show that the proposed model can effectively handle the task of identifying and classifying Favorite books. Experimental results show that LGBM has achieved outstanding performance with an accuracy rate of 94.9367% than Random Forest and other boosting ML algorithms. This empirical research work takes advantage of AI adoption in libraries using machine learning techniques. To the best of our knowledge, we are the first to develop an intelligent application for the modern library to automatically identify and classify Favorite books
Citation studies in English vs. Indonesian research article introductions (RAIs) in the history discipline

Citation studies in research articles (RAs) have been widely conducted worldwide, but such studies rarely compared English and Indonesian RAs, especially within the history discipline. Therefore, the researchers intended to analyze and compare citations in English and Indonesian research article introductions (RAIs) in the history discipline using a genre approach for the analysis and a descriptive qualitative approach for the reports. In this regard, 30 RAIs from both data sets were analyzed using two different frameworks: one is to identify citation ways and, the other one is to analyze citation types. The results revealed that English and Indonesian authors tended to employ descriptions more than other techniques when citing sources. However, English authors employed this technique more than Indonesian authors. In addition, both English and Indonesian authors also used a non-integral type more frequently than the integral counterpart, but English authors employed this type more frequently than Indonesian authors. Thus, these results conclude that although both English and Indonesian authors tended to assimilate their citations and avoid integrating them, English authors still employed this citation technique and type more frequently than Indonesian authors.
Use of ICT Tools for Marketing Library Services in Selected University Libraries in Oyo State Nigeria

This study examined and found ICT tools for marketing library services within selected university libraries in Oyo State, Nigeria; University of Ibadan, Ladoke Akintola University of Technology Ogbomoso, and Ajayi Crowther Oyo. One hundred twenty (120) questionnaires were distributed for administration but only one hundred and ten (110) questionnaires were returned; representing 91.7%, and were found useful for this study. The statistical Package for Social Sciences (SPSS) was used to analyze the returned questionnaires. The data was analyzed using frequency tables, simple percentages, and a chi-square test for dependent and independent variables. The study discovered that internet facilities, videoconferencing, email, social media, telephone, OPAC and websites were available for marketing library services, with radio and television having lowest availability. Reservation, renewal, current awareness and online access to library database were library services rendered which accounted for the highest percentage of respondents. The findings also show that marketing library services helps promote the library profession. However, with all the benefits inherent in having market library services, there are still a lot of problems militating against developing good market strategies in the library, such as inadequate funding and poor infrastructure (ICT tools). In order to achieve effective and efficient marketing of library services, adequate attention must be given to the strategies and recommendations given in the study.
Spatial-Intensity Transforms for Medical Image-to-Image Translation

Image-to-image translation has seen major advances in computer vision but can be difficult to apply to medical images, where imaging artifacts and data scarcity degrade the performance of conditional generative adversarial networks. We develop the spatial-intensity transform (SIT) to improve output image quality while closely matching the target domain. SIT constrains the generator to a smooth spatial transform (diffeomorphism) composed with sparse intensity changes. SIT is a lightweight, modular network component that is effective on various architectures and training schemes. Relative to unconstrained baselines, this technique significantly improves image fidelity, and our models generalize robustly to different scanners. Additionally, SIT provides a disentangled view of anatomical and textural changes for each translation, making it easier to interpret the model’s predictions in terms of physiological phenomena. We demonstrate SIT on two tasks: predicting longitudinal brain MRIs in patients with various stages of neurodegeneration, and visualizing changes with age and stroke severity in clinical brain scans of stroke patients. On the first task, our model accurately forecasts brain aging trajectories without supervised training on paired scans. On the second task, it captures associations between ventricle expansion and aging, as well as between white matter hyperintensities and stroke severity. As conditional generative models become increasingly versatile tools for visualization and forecasting, our approach demonstrates a simple and powerful technique for improving robustness, which is critical for translation to clinical settings. Source code is available at github.com/clintonjwang/spatial-intensity-transforms.
Chroma Vision: A Comprehensive Solution for Vision Enhancement

Blind people are incapable of seeing, which is crucial for daily life. Blind people have limited autonomy due to their lack of eyesight. There are many methods for helping blind people navigate that are based on RFID, GPS, and computer vision modules. Computer Vision and Machine Learning have also seen tremendous growth in recent years and have been employed in the past to produce helpful systems. The system described in this paper provides word, object, and color recognition, fall detection, and location-based warnings for visually impaired and color-blind people using a Raspberry Pi 3B+ board, a GPS module, Accelerometer sensor and Twilio API. By giving colorblind and visually impaired people more freedom and security, the suggested technology aims to enhance their quality of life.
Design and Analysis of an Effective Solar Tracking System Using Intelligent Controller

Solar energy is a viable renewable energy, which can be utilized as an alternative source for conventional energy sources. Even though India has a high intensity of solar irradiation, it has not been utilized properly. So numerous researches have been emerged to enhance the performance of PV system using tracking devices. A solar tracker is a device which alters the position of a solar panel in accordance with the sun’s position. In general, the tracking systems are fixed and results in low power. Thus, to overcome this drawback, this work proposed a new tracking system using intelligent controller to enhance the power generated by a PV. Fuzzy controller have been incorporated to control the azimuth angle. Thus the efficacy of the proposed topology is verified using MATLAB simulation. From the results, it is observed that the proposed system exhibits higher output power when compared to fixed panel.