Reviewerly/exHarmony huggingface dataset:
RIN: Textured Human Model Recovery and Imitation with a Single Image

Human imitation has become topical recently, driven by GAN's ability to disentangle human pose and body content. However, the latest methods hardly focus on 3D information, and to avoid self-occlusion, a massive amount of input images are needed. In this paper, we propose RIN, a novel volume-based framework for reconstructing a textured 3D model from a single picture and imitating a subject with the generated model. Specifically, to estimate most of the human texture, we propose a U-Net-like front-to-back translation network. With both front and back images input, the textured volume recovery module allows us to color a volumetric human. A sequence of 3D poses then guides the colored volume via Flowable Disentangle Networks as a volume-to-volume translation task. To project volumes to a 2D plane during training, we design a differentiable depth-aware renderer. Our experiments demonstrate that our volume-based model is adequate for human imitation, and the back view can be estimated reliably using our network. While prior works based on either 2D pose or semantic map often fail for the unstable appearance of a human, our framework can still produce concrete results, which are competitive to those imagined from multi-view input.
“Portrait” of the receiver of distance learning services in the context of implementation of non-formal education of children

The goal of the research was to conduct a comprehensive study of children as receivers of distance learning services in order to organize in the future a student-centered educational process that contributes to the achievement of better results. In 2018, the authors conducted surveys among students at the Economic Internet School of the Vologda Scientific Center of the Russian Academy of Sciences. The characteristics of receivers of such services as demographic characteristics, level of motivation, status of personal development, communication and organizational features, were comprehensively studied. In addition, the effect of these factors on learning success was analyzed. Thus, the “portrait” of the student was compiled with the goal to effectively organize the educational process. Based on the results of the study, we make suggestions concerning the organization of distance learning for children.
Long-range medical image registration through generalized mutual information (GMI): toward a fully automatic volumetric alignment

Image registration is a key operation in medical image processing, allowing a plethora of applications. Mutual information (MI) is consolidated as a robust similarity metric often used for medical image registration. Although MI provides a robust medical image registration, it usually fails when the needed image transform is too big due to MI local maxima traps. In this paper, we propose and evaluate a generalized parametric MI as an affine registration cost function. We assessed the generalized MI (GMI) functions for separable affine transforms and exhaustively evaluated the GMI mathematical image seeking the maximum registration range through a gradient descent simulation. We also employed Monte Carlo simulation essays for testing translation registering of randomized T1 versus T2 images. GMI functions showed to have smooth isosurfaces driving the algorithm to the global maxima. Results show significantly prolonged registration ranges, avoiding the traps of local maxima. We evaluated a range of [-150mm,150mm] for translations, [-180°,180°] for rotations, [0.5,2] for scales, and [-1,1] for skew with a success rate of 99.99%, 97.58%, 99.99%, and 99.99% respectively for the transforms in the simulated gradient descent. We also obtained 99.75% success in Monte Carlo simulation from 2,000 randomized translations trials with 1,113 subjects T1 and T2 MRI images. The findings point towards the reliability of GMI for long-range registration with enhanced speed performance
PENANAMAN NILAI KARAKTER DALAM TINDAK TUTUR ILOKUSI NOVEL ANAK ISLAMI PERIBAHASA TERINDAH KARYA S. GEGGE MAPPANGEWA

This research discusses the types of illocutionary speech acts and the form of characters contained in the Islamic children's novel Peribahasa Terindah. The research method used is descriptive qualitative with observation and note techniques. The research data source is in the form of an Islamic children's novel entitled The Most Beautiful Proverb by S. Gegge Mappanggawe, publisher of Mitra Bocah Muslim. The data used in the study were in the form of utterance sentences contained in the Islamic children's novel Peribahasa Terindah. The results showed that there are four types of illocutionary speech acts contained in novel speeches, namely expressive, directive, commissive, and assertive. The characters reflected in each type of illocutionar peech act are disciplined, hard work, polite, religious, compassionate, honest, big-spirited, respectful for achievement, patient, forgiving, responsibility, sportsmanship, harmonious, confident, humble. , and are industrious and caring.
Control system design for motion training based on human’s proficiency level

Physical training enables us to recover from disability in rihabilitation or to aquire motion skill. These days, many devices that assist human’s motion such as power assist suit have been developed. However, these devices do not consider the human’s proficiency level or recovery degree; therefore some adjustments of the device will be required according to the human’s proficiency level. In this paper, focusing on stabilization of an inverted pendulum, we propose a controller design method that changes its contribution for stabilization based on human’s proficiency level. Controller is designed based on Model Predictive Control for fast real time calculation. Human’s proficiency level is calculated from convergence level of the inverted pendulum system. Experimental results show the degree of controller contribution is decreased to high skilled subjects.
IEEE Access Special Section: Sequential Data Modeling and Its Emerging Applications

With the tremendous advance of technologies in data collection and storage, sequential data are becoming more and more ubiquitous in a wide spectrum of application scenarios. There are various embodiments of sequential data such as time series/video frames, biological data, and event data. It bears important practical utility for learning and understanding the dynamic behavior as well as the causality relationships across sequences, and it also calls for robust models to handle noisy and incomplete sequence data in real-world settings. Thus, machine-learning-based methods can be applied to efficiently analyze and model these sequential data.
Building Guidelines for UNESCO World Heritage Sites’ Apps

This research involved the Mobile Media Group, from the Bauhaus-University Weimar - Germany.
THE ROLE OF JORDANIAN MEDIA IN SUPPORTING THE VALUES OF CITIZENSHIP UNDER THE CORONAPANDEMIC

The current study aimed at finding out the role of Jordanian media in supporting the values of citizenship under thecorona pandemic, from the viewpoint of media professionals working in the formal and informal media. The studysample consisted of (275) media men and women. They were chosen by using simple random method. To achievethe aim of the study, a descriptive  survey methodology was used. A questionnaire was developed to collect data.Its validity and reliability were assured. Means, standard deviations and t-test were used to answer the questions ofthe study. The findings showed that the role of Jordanian media in supporting the values of citizenship under thecorona pandemic was high. There were no significant differences attributed to gender variable. There weresignificant differences in the role of Jordanian media in supporting the values of citizenship attributed to academicqualification variable, in favor of higher studies category, and to the experience variable in favor of (10 years andabove) category. But there were no significant differences attributed to age variable. In light of the findings of thestudy the researcher recommended the following: Maintaining this high degree of the role of Jordanian media insupporting the values of citizenship, by providing material and moral support to employees in the official andnonofficial Jordanian media institutions to encourage them to do their best to achieve their work goals.
Virtual Reality, help or hindrance? A case study of two undergraduate student-generated chemistry lessons

Virtual Reality (VR) has become a much more common household commodity thanks to the proliferation of more affordable VR devices. While its use in the gaming industry is becoming widespread, its application in pedagogical environments has only just started, particularly in chemistry. As such, whether VR will aid or hinder the teaching and learning of chemistry is currently a topic of research and debate. This project sought to generate VR materials designed to support students learning undergraduate chemistry, with the specific topics decided by undergraduate student researchers. This work was undertaken in the X-reality (i.e. VR and other forms of augmented realities) laboratories at the The University of Sydney. Preliminary materials were generated, and pilot tested with student volunteers who undertook pre- and post-questionnaires followed by an exit interview. The results of these trials showed that the VR experience did enhance student engagement and understanding, but only for more complex examples. The trial volunteers felt that ball-and-stick models were adequate for simple molecular representations. Nausea was noted as a significant issue alongside concerns around the inadequate response of the hand-held controls. This same issue made movement throughout the virtual environment difficult for several students. Lastly, the student researchers found generating the VR lessons to be challenging, noting a steep learning curve with regards to creating the environments.
KETERAMPILAN AKTIF RESEPTIF DAN PEMAHAMAN KAIDAH BAHASA INDONESIA PARA GURU SD SEKOTA PONTIANAK

This paper aims to describe the language skills of Indonesian language mastered by the elementary school teachers in Pontianak based on the linguistic component in the language test. The skill level was based on the result of UKBI Training Series conducted for elementary school teachers in 2018. The descriptive method is used to present the results of data analysis. Based on the results of the discussion, it was found that the Indonesian language skill of the elementary school teachers in Pontianak was at the level of Very Advanced, Advanced, Upper Intermediate, Intermediate and Elementary. The majority of these teachers were at the Upper Intermediate level, while the minority was at the Elementary level. In addition, it was also found that the elementary school teachers in Pontianak City got the highest score in the section of Understanding the Reading. In contrast, teachers who were graded Very Advanced got the highest score on the section of Responding the Grammar. However, in contrast to the highest score on the linguistic component, most elementary school teachers in Pontianak got the highest score in the section of Understanding the Reading. This can be seen from the frequency of high scores for that section at every rank.
Penerapan Sistem E-Learning Pada Sekolah MTS Darul Muttaqin Al-Amin Kota Depok

Advances in the form of technology education system has replaced the role of the application of manual learning known to society in general to be developed in the form of electronic learning (e-learning) in an effort to improve learning effective and efficient, so that learning activities become flexible. In this analysis the method used is waterfall, this waterfall model for details of the project activities into a linear sequential phase, where each phase depends on the previous post PDA and according to the task Sepesialization. Based on the analysis of the effectiveness of learning teaching in the school MTS Darul Muttaqin AL-Amin, Depok, conclude that the application of learning to teach electronically (E-learning) A learning media option and seeks to facilitate teachers and students in the learning process in order to provide a more effective and efficient learning system, improve self-learning ability, provide the flexibility of learning interactions both in terms of time and place, make students more sensitive to the advancement of technology, and make the learning atmosphere more enjoyable.
Comparison of Gaze Points Among Viewing Conditions (Resolution, Display Size, Viewer Position) During Video Viewing

Ultra-high resolution broadcasting such as 4K and 8K are becoming more popular for athome use.The position of the viewer's mean gaze point when they are looking at a larger display depends on the video clip, viewing position, and viewing distance.The International Telecommunication Union provided the document BT-2022; as the standard viewing conditions for the subjective evaluations of flat-panel TV displays.However, it is rare that a television is viewed at home under standard viewing conditions.In most homes, a TV of any size is watched from the viewer's desired position according to the layout size of the room hosting the TV.No study has been conducted to determine how the movement of a viewer's line of sight changes when a display with different resolution is viewed from a position different from the standard viewing condition.If the gaze position when viewing TV differs due to the difference in resolution, the size of the display, and the difference in observation position, it affects the method of TV production.This would also affect consumers considering the resolution, installation location, and viewing location of a TV.Here, we clarified that the mean gaze position and its standard deviation are almost the same viewing conditions (i.e., resolution, display size, and viewing position) are changed, even when the same contents are viewed.Our findings demonstrate that consumers could buy a display of their preferred resolution and size according to their room layout.
Development and Application of Aero-engine Experimental Data Mining Algorithm Library

This paper presents the application of several anomaly detection algorithms in experiment data from engine test bed. Several anomaly detection algorithms are programmed in Python language and integrated into an algorithm library named PyPEFD (Python Package for Engine Fault Detection). The algorithm library includes Gaussian Mixture Model, Feature Weighted Fuzzy Compactness and Separation (WFCS), Sequential Probability Ratio Test (SPRT), Variational Autoencoder, Dynamic Time Warping, Mahalanobis Distance, Singular Value Thresholding, Random Forest and Multivariate State Estimation Technique. These algorithms can analyze the structure and characteristics of the engine test data, and mine the hidden fault information in the data, so as to detect the fault or fault trend of aero-engine test data. This paper also presents a preview of the algorithm library.
Importance of Data Loading Pipeline in Training Deep Neural Networks

Training large-scale deep neural networks is a long, time-consuming operation, often requiring many GPUs to accelerate. In large models, the time spent loading data takes a significant portion of model training time. As GPU servers are typically expensive, tricks that can save training time are valuable.Slow training is observed especially on real-world applications where exhaustive data augmentation operations are required. Data augmentation techniques include: padding, rotation, adding noise, down sampling, up sampling, etc. These additional operations increase the need to build an efficient data loading pipeline, and to explore existing tools to speed up training time. We focus on the comparison of two main tools designed for this task, namely binary data format to accelerate data reading, and NVIDIA DALI to accelerate data augmentation. Our study shows improvement on the order of 20% to 40% if such dedicated tools are used.
Digital Jordan curves with respect to a closure operator

We introduce 2D digital Jordan curves as the curves satisfying a digital Jordan curve theorem. The theorem builds on the connectedness in the digital plane ℤ2 provided by a closure operator. An advantage of using the closure operator instead of the Khalimsky topology is that the operator provides a richer variety of Jordan curves.
Malaria Detection and Classificaiton

Malaria is a disease of global concern according to the World Health Organization. Billions of people in the world are at risk of Malaria today. Microscopy is considered the gold standard for Malaria diagnosis. Microscopic assessment of blood samples requires the need of trained professionals who at times are not available in rural areas where Malaria is a problem. Full automation of Malaria diagnosis is a challenging task. In this work, we put forward a framework for diagnosis of malaria. We adopt a two layer approach, where we detect infected cells using a Faster-RCNN in the first layer, crop them out, and feed the cropped cells to a seperate neural network for classification. The proposed methodology was tested on an openly available dataset, this will serve as a baseline for the future methods as currently there is no common dataset on which results are reported for Malaria Diagnosis.
Graphic programming design based on embedded AI processor

This paper designs a system platform for graphical programming. The system is based on the open source software platform developed for the second time, which can realize the layer-by-layer conversion of diagrams and source codes, allowing users to deeply understand the logical relationship of programming, and programming and the host can be downloaded. The user can complete the drag-and-drop procedure, the icon shows the basic elements of the function, and the attribute box can modify each variable and automatically build it. After the user builds a graphics program with this system, click the run button to generate Python code and save the project.
Tin-Rare Metal Mineralization Near Mersa Alam, Eastern Desert, Egypt

Geochemical study was carried out in three tin-rare metal mineralized localities namely : Igla. Abu Dabbab and Muelha in the Eastern Desert of Egypt Forty-three samples were collected from the vicinity of these mineralized areas and analyzed for major, trace and rare earth elements. The results were treated with simple and sophisticated (factor and discriminant) statistical analytical methods. A graphical method was used for representing the mulli-element data to get a clear picture about their enrichment and depletion. Tin shows the greatest degree in Abu dabbab and Pb. Nb and Rb are enriched in Muelha. Copper. Cs. Cr. Zn. Pb and Hf show some enrichment in the Igla and Abu Dabhab data. REE analyses with the chondrite-normalized plots show the enrichment of HREE in these mineralized areas with a negative europium anomaly in the Muelha rock data. This may suggest the use of REE geochemistry as a useful criterion for Sn-rare metal prospecting. Factor analysis was helpful in revealing four basic associations which are interpreted as representing variation in 1. mineralization. 2. parent rock type. 3. metasomatic. and 4. weathering. and this confirms most relationships identified during basic single-element interpretation. Lastly. discriminant analysis was successfully used in distinguishing between these mineralized and other barren types.
IMPLEMENTATION OF REMOTE EDUCATIONAL INTERACTION IN POSTGRADUATE PEDAGOGICAL EDUCATION

Updating the ways of interaction between the subjects of educational space, changing the formats of professional activity of a specialist requires a search for improvement of educational practices aimed at developing the digital competence of academic staff in postgraduate pedagogical education. The main challenges in distance educational interaction implementation at advanced training courses in an institution of postgraduate pedagogical education under the conditions of quarantine restrictions are investigated in the article. The approaches offered in the article implement educational communication using the possibilities of digital technologies in postgraduate pedagogical education. The advantages and limitations of distant interaction in the process of teaching adults are highlighted. The means of remote interaction organization in the process of professional development of teachers are systematized. The peculiarities of modern educational environment design in the institution of postgraduate pedagogical education are highlighted, which allows to create and implement a set of educational strategies aimed at implementing remote educational interaction. The definitions of the notions «distance learning», «online learning» are considered and the models of teachers professional development organization on the platform of distance learning of Communal institution «Zhytomyr Regional Institute of Postgraduate Pedagogical Education» of Zhytomyr Regional Council are characterized. The results of the research survey of teaching staff and teachers of advanced training prove that the use of learning environment, system of practical training courses requires adaptation of content, forms and means of teaching to the requirements of social demand, changes in the work of academic staff of postgraduate pedagogical education and improving the digital competence of subject teachers.
AMLSI: A Novel Accurate Action Model Learning Algorithm

This paper presents new approach based on grammar induction called AMLSI Action Model Learning with State machine Interactions. The AMLSI approach does not require a training dataset of plan traces to work. AMLSI proceeds by trial and error: it queries the system to learn with randomly generated action sequences, and it observes the state transitions of the system, then AMLSI returns a PDDL domain corresponding to the system. A key issue for domain learning is the ability to plan with the learned domains. It often happens that a small learning error leads to a domain that is unusable for planning. Unlike other algorithms, we show that AMLSI is able to lift this lock by learning domains from partial and noisy observations with sufficient accuracy to allow planners to solve new problems.
Digital Electronic Space as the Foundation of Music Teacher Training

The massive interest and enthusiasm for musical art on a digital basis is high today.Electronic tools attract with their accessibility and multi-timbral colorfulness.The computerization of music education, modern educational standards in the new WorldSkills movement paradigm, the relevance of the development of media education and self-educational technologies to improve the professional self-development of a modern music teacher determine the problem of researching and substantiating modern forms of electronic-creative music making -arranging as a means of digital electronic space.Available information on the problem requires a systematization of arrangement knowledge and skills based on digital electronic space.This determined the purpose of the study, which is to create working conditions for the arrangement and design supporting electronic content in the form of digital electronic space for the self-development of relevant skills by a music teacher.An analysis of the concepts revealed the pedagogical tools for constructing the arranging process, determined the consideration of composition and electronic arranging skills as the main methods of sound intonation and re-intonation of the musical sense of music, and contributed to the presentation of the substantive side of the musician's universal competence.The computer-musical shell as a "digital electronic space" should possess all the features of a training system where books and articles on arrangement will be studied, individual practical implementation of musical tasks independently chosen by the user according to the level of complexity and time of execution, with the possibility of self-control (testing knowledge and skills).Only in this case a comfortable educational environment will arise when the student will be able to independently carry out macro navigation and form their own learning routes.