Reviewerly/exHarmony huggingface dataset:
A Tangible E-Learning Solution for Early Childhood Development

Exploration and manipulation of physical objects are essential for early childhood learning. TangiGuru is an e-Learning platform that allows children to engage with real-world physical objects to provide that essential experience within an e-Learning application. TangiGuru consists of 12 tangible, manipulative objects known as TangiCubes, which are used as a tangible user interface between children and the e-Learning application. It can carry out cognitive learning activities related to colors, languages, shapes and basic math by dynamically varying assigned values by changing the external appearance of TangiCubes. This dynamic nature of the TangiCubes makes it possible to use the same tangibles with endless possibilities compared to traditional tangible learning solutions with static value for each tangible. With the initial observations of how children interact with computers, laptops, and mobile devices, the goal is to provide a playful interface for children by taking the approach to embedding and integrating technology into the children’s daily activities. After the prototyping phase, children were evaluated with the traditional tangible learning solutions compared to TangiGuru. They concluded that the more interactive tangible interfaces could make the children perform activities more engagingly.
Permissionless Clock Synchronization with Public Setup

The permissionless clock synchronization problem asks how it is possible for a population of parties to maintain a system-wide synchronized clock, while their participation rate fluctuates—possibly very widely—over time. The underlying assumption is that parties experience the passage of time with roughly the same speed, but however they may disengage and engage with the protocol following arbitrary (and even chosen adversarially) participation patterns. This (classical) problem has received renewed attention due to the advent of blockchain protocols, and recently it has been solved in the setting of proof of stake, i.e., when parties are assumed to have access to a trusted PKI setup [Badertscher et al., Eurocrypt ’21]. In this work, we present the first proof-of-work (PoW)-based permissionless clock synchronization protocol. Our construction assumes a public setup (e.g., a CRS) and relies on an honest majority of computational power that, for the first time, is described in a fine-grain timing model that does not utilize a global clock that exports the current time to all parties. As a secondary result of independent interest, our protocol gives rise to the first PoW-based ledger consensus protocol that does not rely on an external clock for the time-stamping of transactions and adjustment of the PoW difficulty.
Research on problems of engineering textbooks construction for applied undergraduates

Textbooks are the carriers of knowledge, and superior textbooks are the key factors for universities and colleges to carry out high-quality teaching activities.There are significant differences between applied undergraduate and traditional undergraduate in engineering education.From the aspects of content and system, engineering application, novelty, and textbook resources, the problems and their causes of the current engineering textbooks for applied colleges are analyzed in this paper.Only by fully recognizing the defects of existing textbooks in the use process, can we contrapuntally adjust their construction path, innovate the writing style and form, and the role of textbooks can be better played in talent training.
Solution to the problem of organizing independent learning of undergraduate-students in academic drawing (on the example of the image of a plaster head "David")

The article draws a parallel between the level of modern education and the problems that exist in the artistic and pedagogical training of students. Recommendations are given for solving one of the issues of teaching academic drawing at the pedagogical university – depicting a plaster head of David, with the analysis of the structural construction and anatomical features of the model, as well as the sequence of the task. The relationship between drawing and the peculiarities of our perception is traced, with a description of the artist's ways of seeing at a particular stage of the work. The purpose of the research topic is to increase the effectiveness of independent learning of academic drawing in the second year of the pedagogical university. Scientific novelty lies in the development and experimental testing of methodological recommendations for the step-by-step performance of the plaster head drawing "David", on the example of the author's graphic images. Experimental testing of these materials confirmed the effectiveness of their use in the organization of independent learning of students at the "Department of Fine Arts and Methodology of Teaching" BSPU.
The State and Prospects for Development of Media-Critical Internet Resources in Ukraine

The objective of the article is to ascertain the state of development of domestic media critical internet resources and the specifics of their activities. The tasks of the article are the following: 1) to study the modern domestic media discourse; 2) to analyze the problematic aspects of media critical publications; 3) to identify the prospects for development of Ukrainian media criticism after researching the modern domestic media discourse. It was established that media criticism in Ukraine, although being a relatively new segment of journalism, develops intensively in several directions – media criticism, media literacy and media monitoring and is a synthesized phenomenon, performing a number of important functions regarding control and regulation of information space, as well as information and communication, cognitive, regulatory functions. After analyzing the problematic aspects of media critical publications, it was established that the key directions of their work were mainly aimed at recognizing and refuting fakes, emergence of which was caused mainly by the spread of COVID-19 pandemic аnd a full-scale Russian invasion. Among the prospects for development of domestic media criticism there is involvement of a large part of the readership in understanding this discourse, raising the level of media literacy and media culture in the society. A characteristic feature of domestic media criticism is that it mainly serves as a mechanism of media self-regulation, because its materials are devoted to interpretation of development trends and development problems. Another of its features is that it is mainly represented by online publications, and some of them function due to foreign donor support, because it is not a profitable segment of the media, acting as an axiological and cognitive sphere of journalism and a civilizing factor of the society.
Button Defect Detection System Using YOLO Algorithm

As an indispensable accessory in clothing, the quality of buttons will directly affect the sales of clothing.This research aims to realize the button defect detection system based on YOLO algorithm.After the implementation of the system, it is only need to collect a batch of button sample images, train the model, transmit it to the system, and call the button defect system, and the system will automatically identify the defects in the button.The use of button defect detection system can greatly reduce the labor force and detection error rate.
Future Methods Of Managing Privacy And Data Security At The Technical Age Cashless Society

Financial transactions in a cashless global are carried out the usage of virtual statistics in place of real banknotes or coins (commonly an digital illustration of cash). [1] Cashless civilizations have existed for the reason that sunrise of human civilization, primarily based totally on barter and different varieties of exchange, and cashless transactions at the moment are possible utilizing credit score playing cards, debit playing cards, cellular bills, and virtual currencies which include bitcoin. However, this newsletter makes a speciality of the term "cashless society" withinside the feel of a motion toward, and implications of, a society wherein coins is changed with the aid of using its virtual equal—in different words, criminal tender (cash) exists, is recorded, and is most effective traded in digital virtual form. A few publications of movement may be coupled to attain a everlasting and applicable result for customers in a cashless society to boom privateness: A new kind of banking carrier that assigns randomised numbers to credit score playing cards, using blockchain to song all man or woman transactions, and a marketing campaign to train and tell key stakeholders approximately safety and privateness dangers so that they have got the gear and historical past expertise to guard their personal statistics earlier than coping with a overseas entity or different 1/3 events (i.e. cybersecurity departments, IT technicians, etc). Both blockchain and card variety randomization are liable to zero-day vulnerabilities, flaws, and ranging ranges of social acceptance. This exploratory observe makes use of a structures evaluation of cashless structures to perceive and have a look at a fixed of social and technical alternatives for a robust cashless gadget that protects customers' privateness even as keeping gadget safety. The statistics amassed and evaluated may be beneficial in uncovering flaws in present day facts integrity and safety procedures. In order to create preemptive countermeasures, it might be useful to study gift and destiny strategies of dealing with privateness and facts safety withinside the contemporary-day age. In a cashless gadget, this studies identifies essential techniques to keep away from the loss of private privateness.
Peculiarity of the implementation of child experimentation in the cognitive development of preschoolers in different age periods

The purpose of the study is to reveal the possibilities of children's experimentation in the cognitive development of preschoolers. Scientific novelty involves rationale for exploratory activity formation on a step-by-step basis within different age periods resulting in pre-schoolers shall obtain the option to determinate the whole system of synergy between objects within the environment. As a result the following was found out: children's experimentation is directed to study of environment characteristics by research activities of a child. The process of a child's experimental and research activity formation is represented by phased multifaceted process. Characteristics of realization of children's experimentation within educational institution shall also include direct involvement of children to research activity, usage of practical activities and adequate forms of research problems.
Door Opening with Mobile Manipulator Using Force Estimation

In recent years, the demand for cobots that share space with human has been increasing. Since the positions of objects in the shared space are uncertain, it takes time to teach the robot using conventional methods. Therefore, to reduce the teaching time, the external force estimation and admittance control are performed. In this study, as an example of working in a shared space, the robot that opens and closes the door is shown.
Open Problem: Reusable Gameplay Trace Samplers

We identify an open problem in game design assistance and automation: the development of reusable gameplay trace samplers. Inside many sophisticated content generators and design tools is a component that samples interesting and plausible sequences of player actions. Details and summary properties of these samples are used to assess generated content and to inform designers. As the development of this component is technically involved (sometimes comparable to making a second implementation of a game's mechanics), design tools often either make use of entirely custom, game-specific samplers or make due without the ability to sample interesting traces at all. This severely limits the population who could benefit from automation to those who are motivated to develop it for themselves. We propose the development of reusable samplers to ease the development of future design automation tools. This paper reviews several systems that demonstrate the availability of technology required by these samplers and the range of applications they may serve. It also sketches how future samplers might be architected. This proposal identifies one way for technical research to make progress on design automation challenges without making problematic assumptions about the nature of player behavior or designer intent. Filling in this missing infrastructure, we claim, will make the use of artificial intelligence in the design process more accessible and thus accelerate game design projects.
Knowledge Acquisition System for Sentiment Analysis

Human has aptitude to understand the knowledge from different life circumstances, experiences for acquire from these experiences and use itself for the erudition of Common Sense acquaintance for making the imperative conclusions in life. That is principal alteration between Out-dated Artificial Intelligence (AI), Expert Systems (ES) and Humans. Due to this capability, human could directly handle conclusion circumstances but in systems they have deficiency of generality, rules state of mind and Sentiments skills. Human circumstantial experiences communicate about how to live in social cultures where the common-sense knowledge is very vigorous. Subsequently Opinion Mining become very substantial method in now days. Two core categories for the system how to grow Sentimental Knowledge Acquisitions with the help of these two. Analyses around diverse methods used for Opinion Mining and forthcoming work might be ensue in approaching years for Sentimental Knowledge Acquisition.
TPA in Cloud Computing Needs Secure and Reliable Cloud Services

Users may store their data effortlessly in the cloud and take use of high-quality cloud services without having to set up any specialised gear or software on their end.Aside from the obvious advantages, customers also have physical ownership of their outsourced data, which mitigates concerns about the accuracy of their data's storage on the cloud.In this research, we present a flexible distributed storage integrity auditing system, based on the homomorphism token and distributed erasure-coded data, to solve this new challenge and provide safe and reliable cloud storage services.Our proposal also makes it possible for users to examine cloud storage with little effort in terms of both connectivity and processing.In addition to providing reassurance for the accuracy of data stored in the cloud, the audit's findings also enable rapid error localisation in data, or the detection of hacker data.To safely implement a functional TPA, the auditing procedure must not expose users to new risks related to the protection of their personal information and must not place any extra requirements on the users in terms of their time spent online.In this research, we propose a public auditing system that protects user privacy while accessing data stored in the cloud.We further generalise our finding such that the TPA may conduct audits for numerous users in a timely manner.This demonstrates that the suggested approach is both effective against data alteration attacks and against server collusion attacks.
Intellectual networks competition as a factor of effective institutional environment creating

The purpose of the study is to determine the role of competition between networks of intellectuals in creating an effective institutional environment. The article clarifies the features of the participation of intellectuals in institutional construction. The main emphasis is placed on competitive relations as a driver for the creation of advanced ideas for institutional transformation. Scientific novelty – from the position of social philosophy, the author's vision of the mission of intellectuals is proposed. According to the results of the study, the importance of real competition between intellectuals is noted, which allows to reveal the theoretical and applied value of the mental constructs created by them in a two-way way, and cases of participation of intellectuals in the modernization of public life are also considered.
Getting Ready to Program

After completing this chapter, you will be able to create your first simple PHP program. You will also discover how to execute and test your program. In order to accomplish this goal, you will first install a PHP/Apache/MySQL-MariaDB stack application, such as XAMPP. Along the way you will discover how the operating system makes our lives as programmers much easier.
HOLOGRAPHIC INTERACTION: FROM DESIGN TO CONSTRUCTION OF A HOLOGRAPHIC DISPLAY ANIMATED BY REAL-TIME MOTION CAPTURE

In this paper, a method for designing a 3D hologram controlled by motion capture and visualized through a holographic pyramid is presented.The paper covers the prototyping of the equipment with a view applied to the use of an interactive display with the public.This prototype can be used so that, for example, in a superhero exhibition, the visitor will be able to choose a character and, by using a motion capture suit, control that character in a way that he or she wishes.Since the holographic pyramid allows more than a single person to make part of the scene and the others around also watch the interaction, its advantage is that it is not an individual experience, as is the case with other current technologies.
Deep Factorized Multi-view Hashing for Image Retrieval

Multi-view hashing has been paid much attention to due to its computational efficiency and lower memory overhead in similarity measurement between instances. However, a common drawback of these multi-view hashing methods is the lack of ability to fully explore the underlying correlations between different views, which hinders them from producing more discriminative hash codes. In our work, we propose the principled Deep Factorized Multi-view Hashing (DFMH) framework, including interpretable robust representation learning, multi-view fusion learning, and flexible semantic feature learning, to deal with the challenging multi-view hashing problem. Specifically, instead of directly projecting the features to a common representation space, we construct an adaptively weighted deep factorized structure to preserve the heterogeneity between different views. Furthermore, the visual space and semantic space are interactively learned to form a reliable hamming space. Particularly, the flexible semantic representation is obtained by learning regressively from semantic labels. Importantly, a well-designed learning strategy is developed to optimize the objective function efficiently. DFMH as well as compared methods is tested on benchmark datasets to validate the efficiency and effectiveness of our proposed method. The source codes of this paper are released at: https://github.com/chenyangzhu1/DFMH .
Blockchain: The Foundation of Web3

The various technologies and components that we have covered so far should cover most of the building blocks you would need to build any technical product. However, there is a growing interest in the development of decentralized applications (dApps) which run in Web3. If dApps and Web3 sound alien, what about smart contracts – nothing rings a bell yet?
The integrated process of developing the information culture of university students

The topicality of this research is caused by a necessity to provide a level of educational quality of graduates that matches modern requirements of labor market, information technologies and society in general. The methodological basis of the research is a polysubjective paradigm of educational systems management, and the main technology of its realization is functional management as a classical, widely recognized and standardized method of IT-sphere. The functional model of competency cluster “Information culture” allowing to spot effective solutions in management of integrated process of developing information culture among humanists through the example of organizing educational process in the “51.03.06 Library and Information Resources” training program has been developed and incorporated. The implementation of the functional model for managing the educational process of the Library and Information Resources chair allowed to spot mechanisms of polysubjective field correction.
Multi-agents system for breast tumour detection in mammography by deep learning pre-processing and watershed segmentation

Mammography is the most used process for females to diagnose and screen breast cancer. In this paper, we presented an enhanced automatic watershed segmentation for breast tumour detection and segmentation reinforced with a group of interactive agents. First, we started by a pre-processing based on deep learning (DL), where a convolution neural network (CNN) is applied, to classify the breast density by AlexNet architecture. Second, classic watershed segmentation was applied on these images. Afterward, a multi-agents system (MASs) was introduced. The information within pixels, regions and breast density were explored, to create a region of interest (ROI), and to emerge the MAS segmentation. Experimental results were promising in term of accuracy (ACC), with an overall of 97.18% over three datasets, Mammographic Image Analysis Society (MIAS), INBreast, and a local dataset called Database of Digital Mammograms of Annaba (DDMA). In some cases, our approach was able to detect breast calcification accurately.
A Character Recognition Method for Chip Surface Characters Based on Text Replacement

Due to the particular screen printing rules defined by the unique chip manufacturer and the huge variety of chips, it is difficult to identify chip information by naked eye in chip reliability detection. Automatic identification character technology can help us obtain the information of the chip. But the special character samples in the dataset is extremely uneven. When recognizing characters on chip surface by deep learning, the limited certain characters dataset will reduce the recognition accuracy. A character recognition method for chip surface characters based on text replacement is proposed in this paper. Firstly, the efficient channel attention modules are added to enhance the feature extraction of characters in the text style transfer process. Secondly, the dilated convolution layers are used to replace the residual module during the background restoration process, which help to obtain a more comprehensive background texture feature. Finally, a one-stage target detection network YOLOv5s is used to detect the characters on the chip surface. The experimental results demonstrated that the three evaluation metrics for image generation quality (l2 error, psnr, and ssim) achieved better performance than previous work due to the text replacement network. The overall charac-