Reviewerly/exHarmony huggingface dataset:
Modality Bank: Learn multi-modality images across data centers without sharing medical data

Multi-modality images have been widely used and provide comprehensive information for medical image analysis. However, acquiring all modalities among all institutes is costly and often impossible in clinical settings. To leverage more comprehensive multi-modality information, we propose privacy secured decentralized multi-modality adaptive learning architecture named ModalityBank. Our method could learn a set of effective domain-specific modulation parameters plugged into a common domain-agnostic network. We demonstrate by switching different sets of configurations, the generator could output high-quality images for a specific modality. Our method could also complete the missing modalities across all data centers, thus could be used for modality completion purposes. The downstream task trained from the synthesized multi-modality samples could achieve higher performance than learning from one real data center and achieve close- to- real performance compare with all real images.
Optimizing Binary Decision Diagrams with MaxSAT for Classification

The growing interest in explainable artificial intelligence(XAI) for critical decision making motivates the need for interpretable machine learning (ML) models. In fact, due to their structure (especially with small sizes), these models are inherently understandable by humans. Recently, several exact methods for computing such models are proposed to overcome weaknesses of traditional heuristic methods by providing more compact models or better prediction quality. Despite their compressed representation of Boolean functions, Binary decision diagrams (BDDs) did not gain enough interest as other interpretable ML models. In this paper, we first propose SAT-based models for learning optimal BDDs (in terms of the number of features) that classify all input examples. Then, we lift the encoding to a MaxSAT model to learn optimal BDDs in limited depths, that maximize the number of examples correctly classified. Finally, we tackle the fragmentation problem by introducing a method to merge compatible subtrees for the BDDs found via the MaxSAT model. Our empirical study shows clear benefits of the proposed approach in terms of prediction quality and interpretability (i.e., lighter size) compared to the state-of-the-art approaches.
Sensing the Breath: A Multimodal Singing Tutoring Interface with Breath Guidance

Breath is a significant component in singing performance, which is still underresearched in most singing-related music interfaces. In this paper, we present a multimodal system that detects the learner's singing pitch and breathing states and provides real-time visual tutoring feedback. Specifically, the breath detector is a wearable belt with pressure sensors and flexible fabric. It monitors real-time body movement of the abdomen, back waist, and twin ribs. A breath visualization algorithm is developed to display real-time breath states, together with the singing pitch contours on an interactive score interface. User studies show that our system can help users not only gain deeper breath during singing but also improve pitch accuracy in vocal training, especially for those with some musical background.
Assessing Representation Learning and Clustering Algorithms for Computer-Assisted Image Annotation—Simulating and Benchmarking MorphoCluster

Image annotation is a time-consuming and costly task. Previously, we published MorphoCluster as a novel image annotation tool to address problems of conventional, classifier-based image annotation approaches: their limited efficiency, training set bias and lack of novelty detection. MorphoCluster uses clustering and similarity search to enable efficient, computer-assisted image annotation. In this work, we provide a deeper analysis of this approach. We simulate the actions of a MorphoCluster user to avoid extensive manual annotation runs. This simulation is used to test supervised, unsupervised and transfer representation learning approaches. Furthermore, shrunken k-means and partially labeled k-means, two new clustering algorithms that are tailored specifically for the MorphoCluster approach, are compared to the previously used HDBSCAN*. We find that labeled training data improve the image representations, that unsupervised learning beats transfer learning and that all three clustering algorithms are viable options, depending on whether completeness, efficiency or runtime is the priority. The simulation results support our earlier finding that MorphoCluster is very efficient and precise. Within the simulation, more than five objects per simulated click are being annotated with 95% precision.
Application the method of renormalization with limitation to acoustic images

The paper proposes the use of the method of renormalization with limitation (MRL) for suppressing the speckle noise in acoustic images. The method is tested on various types of acoustic images. The principal possibility of a significant reduction in the speckle noise level is found due to the fact that the MRL renormalizes the spectrum of the sonar image to the universal reference spectrum (URS) model, which is a model of the spectrum of a «good» quality optical image. To increase the overall sharpness, after applying MRL, it is recommended to use post-processing suitable for each specific type of image. It is proposed to estimate the degree of suppression of speckle noise using the standard deviation from the image averaged over the sprite. The study allows us to conclude that the application of MRL to various acoustic images can significantly reduce the speckle noise
Using mono chrome image in secure data transfer based on book cipher

In the current digitalized world human race confront huge and fast technical progress in communication networks, That contribute to exposure of data and information that is transmitted through these networks to different levels of exposure and attack Also, the authentication of the digital products and services become very important to both makers and customers and can be separated from those that are invalid , The science of transfer secret data in several multimedia carriers like audio , text, video or image so that can achieve the authentication requirements that were mentioned is called steganography. This paper introduces a new steganography technique that will increase the difficulty of exhaustive key search, it based on book cipher combined with ASCII (American Standard for Information interchange) mapping technique using image as reference key.
Pengembangan Lembar Kerja Peserta Didik Berbasis Interaktif pada Pembelajaran Matematika Kelas V di Madrasah Ibtidaiyah Ad’dawah

This study aims to develop an interactive-based Student Worksheet (LKPD) using a live worksheet. Mathematics subject, volume material on cubes and blocks for fifth grade elementary school. The type of research used is research and development (Research and Development) or called R&amp;D. The research model used is ADDIE (Analysis, Design, Development, Implementation, Evaluations), the research consists of 5 stages. The subjects in the study were 15 students in the VC class. The instruments used are expert validation assessment questionnaires (materials, media, language), preliminary interview study sheets for teachers and students as well as teacher and student response questionnaires. Data collection techniques used in the form of teacher interviews, observation of learning activities and questionnaires. The results of the validation of the assessment of the LKPD were 82.35% material experts, 93% media experts and 80% linguists. The accumulation of the three experts obtained a percentage of 85%, which can be categorized as "Very Eligible". The teacher's assessment got 90%. Then the assessment of the student response questionnaires at the trial stage obtained 90.7% and the assessment at the field test stage obtained as much as 90.9%, so it can be categorized as "Very Good". So that it can be seen the effectiveness of the LKPD from the acquisition of an average score of 90.7. The conclusion in this study, that interactive-based LKPD using live worksheets is very suitable for use in learning mathematics, and this interactive LPKD gets a positive response from teachers and students.
The Effectiveness of Using Videolecture in Teaching Biology

This article discusses the issues of effective use of video lectures in teaching biology, the methodological foundations of its creation and improving the effectiveness of teaching using video tutorials. Due to the transition of the educational process to a distance learning format due to the epidemic situation in the country, dependence on the use of video lectures in education has increased. The main purpose of the study is to identify the advantages and disadvantages of using video lectures in higher educational institutions of Kazakhstan and to improve the quality of education through the use of video lectures. The research work was carried out for 3rd year students of the specialty «Biology» of al-Farabi Kazakh National University. When studying the effectiveness of video lectures in teaching biology, video tutorials were filmed using various information technologies. The use of these technologies in the biology course contributes to the development of students' level of training and skills in the use of ICT. During the theoretical analysis, positive and negative aspects of the use of video lectures were identified. The positive aspects-the ability to effectively use time management and review the video lecture at any time – showed the importance of obtaining information for students. The negative aspects are affected by the passivity of students when watching video lectures, as well as the lack of direct contact with the lecturer. The results of this study are important both for the development of psychodidactics of the university and for the development of a system of video lectures for individual training courses.
Optimalisasi Penggunaan Aplikasi Open SID pada Sistem Administrasi Pemerintah Desa Gabusbanaran

Knowledge of information technology has become a requirement that must be met by someone. This is because most of a person's daily activities involve information technology assistance, both teaching and learning activities, working in agencies and entrepreneurship. In addition, knowledge of information technology is a person's main capital to be able to compete in the era of globalization and the progress of the times to come. This service is carried out in Gabusbanaran Village, Tembelang District, Jombang. The purpose of this service is to focus on optimizing the Village Information System (SID) application, adapting the Village Information System (SID) application to the needs of village administration, and providing an understanding of the use of the Village Information System (SID) application. The method of implementing the activities aims to find solutions to the problems experienced by the village government in inputting data. This is done with work procedures that support the realization of making application systems. The service method uses the ABCD (Asset Based Community Development) approach, which is a method by utilizing assets owned by the local community which is seen as being able to support community empowerment activities. The results of community service in optimizing the Village Information System (SID) application are providing additional insight and knowledge and skills to the ranks of Gabusbanaran village officials regarding village information systems, assisting in disseminating information quickly and thoroughly through the website and making it easier for the community to get information from the village.
Performance Comparison of Supervised Learning Using Non-Neural Network and Neural Network

Currently, the development of mobile phones and mobile applications based on the Android operating system is increasing rapidly. Many new companies and startups are digitally transforming by using mobile apps to provide disruptive digital services to replace existing old-fashioned services. This transformation prompted attackers to create malicious software (malware) using sophisticated methods to target victims of Android phone users. The purpose of this study is to identify Android APK files by classifying them using Artificial Neural Network (ANN) and Non-Neural Network (NNN). ANN is a Multi-Layer Perceptron Classifier (MLPC), while NNN is a method of KNN, SVM, Decision Tree. This study aims to make a comparison between the performance of the Non-Neural Network and the Neural Network. Problems that occur when classifying using the Non-Neural Network algorithm have problems with decreasing performance, where performance is often decreased if done with a larger dataset. Answering the problem of decreasing model performance, the solution is used with the Artificial Neural Network algorithm. The Artificial Neural Network Algorithm selected is Multi_layer Perceptron Classifier (MLPC). Using the Non-Neural Network algorithm, K-Nearest Neighbor conducts training with the 600 APK dataset achieving 91.2% accuracy and training using the 14170 APK dataset decreases its accuracy to 88%. The use of the Support Vector Machine algorithm with the 600 APK dataset has 99.1% accuracy and the 14170 APK dataset has decreased accuracy to 90.5%. The use of the Decision Tree algorithm to conduct training with a dataset of 600 APKs has an accuracy of 99.2% and training with a dataset of 14170 APKs has decreased accuracy to 90.8%. Experiments using the Multi-Layer Perceptron Classifier have increased accuracy performance with the 600 APK dataset achieving 99% accuracy and training using the 14170 APK dataset increasing the accuracy reaching 100%.
Possibilities of analysis of nominative signs in tasks of information security

Using various examples, the article demonstrates and discusses the possibilities of testing hypotheses and applying information measures to identify and assess the strength of the connection of nominative features in classification problems in the analysis of information security. The main type of presentation of the initial data in this scale is a contingency table of nominative features or an "object-feature" table, from which frequencies of coincidence of feature categories and a contingency table can be obtained. Using this table, it is easy to test the hypothesis of independence or homogeneity of features. An alternative approach to this analysis is considered based on the Kullback statistics, which is the average discriminating information in favor of the hypothesis of the dependence of features. In particular cases, the hypothesis of the symmetry of square tables is of practical interest, which can also be tested on the basis of information measures and criteria. An example of the processing of dichotomous data of the "yes-no" type according to the Cochran test is shown. The paper discusses ways to measure the strength of the connection of features. Illustrative examples of calculating measures based on chi-square statistics and directed measures are considered. The possibilities of various information characteristics are discussed in the form of a relative decrease in the entropy of one feature with a known other, or in the form of a weighted average amount of information falling on different categories of a feature. These measures are useful for comparative analysis of nominative features in decision-making problems. Shannon's informativeness index, Kullback-Leibler divergence, and a measure of pairwise differentiation of protection efficiency classes according to the laws of distribution of the corresponding categories of a feature are used. The classical procedures for testing hypotheses and approaches based on information characteristics are consistently compared. The methods and examples considered in the work cover many urgent problems of information security associated with nominative features.
On some methods of storing data in the cloud for a given time

In this work we study some methods of storing data in the cloud for a given time using secret sharing technology. Such problems are especially relevant in the context of the rapid development of the internet of things (IoT). Chips, smart cards and other physically small devices, as a rule, have significant memory limitations, so there is a need to use cloud storage as an auxiliary tool for secure data storage. We present method for secure storing data in distributed servers, provided that servers remote from each other do not collude with each other. In the paper we also consider two diferent methods for storing data using various cryptographic solutions, such as Shamir's secret sharing method, El Gamal scheme, diffie-hellman key distribution protocol.
Managerial Competencies and Firm Performance in the Furniture Manufacturing Sector in Kenya

Purpose: The study aims to examine the contribution of managerial competencies with indicators, namely leadership, employee development, decision making, succession planning and governance to the performance of the furniture manufacturing sector with firm size and firm age as a moderating variable.&#x0D; Design / Method / Approach: The study adopted a descriptive and explanatory research design of which a sample of 280 licensed firms was randomly selected. Structured questionnaires were distributed to the managers and a factor analysis was used to reduce the number of variables and find out the underlying constructs while the analysis of moments of structures was applied to develop a theory.&#x0D; Findings: The study found that managerial competencies and firm performance had a positive and statistically significant contribution. The moderating effect of firm size and age on firm performance was found negative predicting that the variable had no moderating influence on firm performance.&#x0D; Theoretical Implications: This study concludes that to enhance firm performance measured in terms of profitability and growth there is need to manage and sustain firm performance based on leadership, employee development, decision-making, succession planning and governance to create competitive advantages through an effective strategy implementation process.&#x0D; Practical Implications: This study will not only add value to the existing body of knowledge in strategic management practice but also point out that while implementing the strategy, CEOs and senior managers should consider these factors in order to improve firm performance.&#x0D; Originality / Value: This study is unique since it provides an expansion of the conceptualization of a managerial competency framework.&#x0D; Research Limitations / Future Research: The study findings are solely based on the views of managers/owners and therefore, the results are prone to managers’ bias. Thus, more studies should incorporate other stakeholders, namely consumers, suppliers and dealers. The study is only based on furniture manufacturing firms in eight counties and therefore, generalizability of the findings could be limited to only the eight counties. Thus, more studies should be carried out to include other counties making the study more national.&#x0D; Paper type: Empirical
Тechnology of Formation of Patriotism of Primary School Students

Patriotic feeling is a psychological, social phenomenon that forms in a person, overlapping the conscious life of a person. Today, this direction has acquired special importance in the work of educational institutions. The destruction of the former ideological educational base, the rejection of the old system of values, the depoliticization and de-ideologization of the school, carried out in a hurry and unprofessionalism – all this led to the rejection of patriotic education as a purposeful pedagogical process. The idea of «self-knowledge» in education has been introduced into the public consciousness. Under these conditions, the former education system was destroyed. The article proves the relevance of the formation of patriotism of younger schoolchildren. It is argued that patriotic education should begin with primary school. The reason for this is that the stage in the elementary grades is a very favorable period for the formation of educational activities, which is the foundation, the basis for the development of the child. The article reveals the age characteristics of younger schoolchildren. In addition, the system, ways, methods of forming patriotism are shown. A plan of measures for patriotic education has been drawn up. The results of experimental work on the formation of patriotism of younger schoolchildren are presented. The results of our research work can be used at the university in the process of preparing future teachers for the education of patriotism of younger schoolchildren.
Wood Texture as An Inspiration for the Creation of Digital Imaging

In the world of design, themes and concepts become fundamental. Themes and concepts cover the whole idea of a work, as well as in the field of digital imaging. Ideas can be taken from nearby environments such as natural beauty of wood texture. The idea used in the creation of digital imaging is wood texture. The process is the pre-production and production stage. Methods consisting of idea stages, data collection, stage of embodiment, and finalization. At the idea stage, it is attempted to visualize and represent the wood texture through digital imaging techniques. This idea was raised based on believes that wood texture has the aesthetic textures to be applied to digital imaging illustration. Data collection is done through observation. While at the stage of embodiment the process carried out is to make editing image through Adobe Photoshop software. Finalization done with export the illustration in JPG format. The result of this creation is an illustrative work resulting from the digital imaging process entitled Dream Land. It is the process of uniting and editing multiple images into one relevant entity.
The Structural Content of the Commercialization of Educational Research Results of Future Teachers

The article provides a versatile definition of the concept of commercialization. The structure of the commercialization of educational and scientific results, the possibilities, goals, objectives, the main advantages and features of the commercialization of educational and scientific results on the basis of theoretical and practical knowledge obtained during the training of teachers in the higher education system have been substantiated. Today, a complex turnaround is underway in the country's education sector, aimed at solving important tasks for the education of a competitive generation. Despite the fact that official documents have been adopted in Kazakhstan in recent decades and work related to the commercialization of research results and technologies has been carried out, the model of commercialization of research by universities and research centers needs to be improved. The model of commercialization of the results of educational and research activities of future teachers is described in the article. In this structure, a model of its implementation at the university has been developed with an analysis of the theoretical basis for preparing future teachers for the commercialization of the results of educational research and research works. A model for preparing future teachers for the commercialization of knowledge in the innovative educational space of a university, which consists of a set of actions: content, timing, place and resources of activities aimed at achieving a common goal, solving a common problem.