Reviewerly/exHarmony huggingface dataset:
A digital management model of power design drawings based on blockchain

Relying on the power "new infrastructure" to carry out the digital transformation of power, can speed up the deep integration of digital information technology and energy and power industry. The digital management of electric power design drawings conforms to the development trend of electric power digital transformation, and is the basic work to realize the information management and data sharing in the whole life cycle of electric power engineering. At present, the digital management of electric power design drawings and documents has achieved some results, but there are still the following problems: the electronic design drawings and documents still need to be printed into blueprints, and the production and storage of blueprints require a lot of manpower and money from the design unit; The electronic design drawings and documents digitally delivered by the design unit to different units have the problem of inconsistent versions, etc.This paper proposes a digital management model of power design drawings based on blockchain technology, focusing on the private chain design of design units, consensus mechanism, alliance chain design, cross chain exchange method of document content and file distributed storage in the model, so as to realize the whole process management of design drawings. Experiments show that the model can be an effective digital solution to replace the blueprint of engineering design drawings, and save the printing cost and storage space of drawings for design units. Ensure that the version of digital engineering design drawings and documents delivered by the design unit to different units is unified, and realize that the electronic design drawings and documents delivered by the design unit really have the ability of anti- tampering.
Medical Image Registration Algorithm Based on Bounded Generalized Gaussian Mixture Model

In this paper, a method for medical image registration based on the bounded generalized Gaussian mixture model is proposed. The bounded generalized Gaussian mixture model is used to approach the joint intensity of source medical images. The mixture model is formulated based on a maximum likelihood framework, and is solved by an expectation-maximization algorithm. The registration performance of the proposed approach on different medical images is verified through extensive computer simulations. Empirical findings confirm that the proposed approach is significantly better than other conventional ones.
The Tenth Grade Students’ Perception towards Learning English in Online Classes at Puspita Senior High School

This study aims to find out the perception of learners about learning English online classes at Puspita Senior High School. The subject of this study consists of two classes namely X IPA 1 consisting of 30 learners and X IPS 1 consisting of 31 learners. This research method uses descriptive qualitative through three data collection techniques, namely 1) observations made during the learning process; 2) questionnaire, given to students to find out the perception of students who have previously been validated by experts; and 3) Interviews, conducted to teachers and principals who are used to support other data. From the data obtained then data analysis was conducted consisting of 1) reduction of data that chooses the core of the data obtained through observation, questionnaire, and interview. After that 2) the presentation of data presented through tables, graphs, and brief descriptions. Then 3) drawing conclusions that answer the formulation of the problem. Based on the results of the study it can be concluded that the majority of learners have a positive perception of online classes. But there are still some learners who experience frustration when online classes are implemented.&#x0D; Keywords:Analysis, learning difficulties, student perception
A Proposal of Template Matching Based on Pixel Selection for Constraint Rotated Patterns

Image matching technology is an important technology used for positioning and inspection of objects in the factory automation field. One of the most common recognition methods is template matching. However, this method requires matching a large number of templates in order to detect rotated objects in an image. Therefore, it has a problem of computation time. We propose to match only a small number of templates by assigning a rotation variation tolerance to the templates. The rotation variation tolerance is given by selecting pixels from the templates. We propose a new method of matching with only a few templates. Experimental results showed the method achieved a 91.9% recognition rate and a 288 msec processing time.
American Library Association’s strengthening international library and bibliographic cooperation at the present stage (1976–2021): The key projects

The American Library Association (ALA) – the oldest national library association in the world – played the key role in the formation and development of international library and bibliographic cooperation during its first 100 years of existence (1876–1976), and today, it has been still among the leading coordinators of the projects in this area. The author characterizes the main programs being implemented by ALA at the present stage in accordance with the principles of the international policy stated in the ALA Policy Manual. The significant proportion of Научные и технические библиотеки, 2022, № 5 15 the modern ALA’s projects is of global nature. These projects are aimed at involving library specialists in the world librarianship agenda, advocating libraries as an important engine of socio-economic development, monitoring observance of human rights and principles of intellectual freedom in libraries, professional development of librarians and exchange of professional experience on the global scale. The professional publications and information provided through ALA official website (http://www.ala.org/) evidence that that today ALA retains its leading position in strengthening international library and bibliographic cooperation.
Digital technologies in the system of teaching students at the university

The study aims at identifying the role of the digital technologies in the system of teaching students at the university. The following methods were used in the study: testing, questioning, analysis of performance results, mathematical methods of data processing, etc. Methods for diagnosing learning motivation and emotional attitude to learning, studying the levels of formation of students’ cognitive interests (author’s method), a questionnaire for assessing students’ knowledge in the field of research activities were applied as well. The data of the students’ final progress in subjects were also analysed. An analysis of the main results of the study allows us to conclude: students who were asked to use digital technologies in teaching showed significant differences before and after the experiment on all scales of the study (the learning motivation level, the cognitive interest level, the knowledge level in the research activities field, assessment of the final performance in subjects). The analysis of the results also showed that according to all the data obtained at the stage of the control experiment, the reliability of the differences in the conclusions of the experimental and control groups on all scales of the study is confirmed.
PSYCHOLOGICAL AND PEDAGOGICAL MANAGEMENT STUDENT ACTIVITY AS A FORM OF DEVELOPMENT SOCIALLY SIGNIFICANT QUALITIES STUDENTS 'PERSONALITIES

The article investigates the influence of psychological and pedagogical guidance of students’ activity in terms of developing qualities which are socially important for a personality.
Design of innovative pedagogical systems as a transdisciplinary-oriented concept

In a general sense, the concept of research and its strategy are correlated in such a way that the logic of the presentation of the concept should reflect the strategy. In addition, the conceptually proclaimed technology of designing innovative pedagogical systems acts, in relation to the research strategy, as the tactics of the researching subject. If we take into account that the research is carried out on an interdisciplinary basis, then the design strategy produced on the basis of an interdisciplinary synthesis, at each of its stages, is expected (guaranteed) to lead to new interdisciplinary achievements – theoretical constructs (knowledge), models, algorithms, technologies, etc.: they serve as a reliable gnostic tool in further research carried out outside a specific disciplinary context. In other words, the results of interdisciplinary synthesis turn into a transdisciplinary strategic research tool, which we tried to demonstrate in this article.
Enhanced Super-Resolution Using GAN

Abstract: Super-resolution reconstruction is an increasingly important area in computer vision. To eliminate the problems that super-resolution reconstruction models based on generative adversarial networks are difficult to train and contain artifacts in reconstruction results. besides the breakthroughs in accuracy and speed of single image super-resolution using faster and deeper convolutional neural networks. However, the hallucinated details are often accompanied with unpleasant artifacts. This paper presented ESRGAN model which was also based on generative adversarial networks. To further enhance the visual quality, we thoroughly study three key components of SRGAN – network architecture, adversarial loss and perceptual loss, and improve each of them to derive an Enhanced SRGAN (ESRGAN). In particular, we introduce the Residual-in-Residual Dense Block (RRDB) without batch normalization as the basic network building unit. Moreover, we borrow the idea from relativistic GAN to let the discriminator predict relative realness instead of the absolute value. Finally, we improve the perceptual loss by using the features before activation, which could provide stronger supervision for brightness consistency and texture recovery. Benefiting from these improvements, the proposed ESRGAN achieves consistently better visual quality with more realistic and natural textures than SRGAN.
The Effectiveness of Learning English Vocabulary through Quizizz Games Application

The inspiration and innovation used to learn English are still minimal. The learning thatoccurs is to imitate, record, and maintain vocabulary. This condition makes students think learning English is troublesome. At the same time, English is considered necessary because it is an international language and is widely used. This article discusses how powerful English learning is in a fun and liked way for children, mainly through quiz games. The methodology used in this study is subjective. The researcher analyzes and collects information along with data on research topics and makes a difference to English coaches about their meetings when involving the Quizizz application as a learning medium to build student inspiration in learning English. The Quizizz game application teaching media makes students more interested in learning a language and makes teaching easy and effective. Based on the exploration directed by scientists, it is possible to reason that learning English through game applications is very powerful and ready to expand students' learning inspiration. Games are learning media that can create an exciting learning climate but do not reduce or reduce students' understanding of the material and can expand their learning inspiration in vocabulary learning. This educational game provides benefits in learning media because this media is exciting and can inspire considerable brain work and then use time productively.&#x0D; &#x0D; Keywords: English vocabulary, games quizizz, learning motivation
ConAs-GRNs: Sentiment Classification with Construction-Assisted Multi-Scale Graph Reasoning Networks

Traditional neural networks have limited capabilities in modeling the refined global and contextual semantics of emotional texts and usually ignore the dependencies between different emotional words. To address this limitation, this paper proposes a construction-assisted multi-scale graph reasoning network (ConAs-GRNs), which explores the details of the contextual semantics as well as the emotional dependencies between emotional texts from multiple aspects by focusing on the salient emotional information. In this network, an emotional construction-based multi-scale topological graph is used to describe multiple aspects of emotional dependency, and a sentence dependency tree is utilized to construct a relationship graph based on emotional words and texts. Then, the transfer learning and pooling learning on the topology map is performed. In our case, a weighted edge reduction strategy is used to aggregate the adjacency information which enables the internal transfer of semantic information in a single graph. Moreover, to implement the inter-graph transfer of semantic information, we rely on the construction structure to coordinate the heterogeneous graph information. The extensive experiments conducted on two baseline datasets, SemEval 2014 and ACL-14, demonstrate that the proposed ConAs-GRNs can effectively coordinate and integrate the heterogeneous information from within constructions.
Mission-oriented Research Leads Frequently to a Product for Industry

This article reviews research which we undertook to combat Leprosy, of which the largest number of patients are in India.We had to learn first why a person becomes victim to this disease while more than 98% of us are immune to it.The defect is their inability to react to some key antigens of M. leprae.Having found that, the next issue was whether we can do anything to overcome this defect.We developed a vaccine against Leprosy which is based on a cultivable, non-pathogenic mycobacteria originally coded as Mw.The gene sequence of Mw has been determined and it has been named as Mycobacterium indicus pranii (MIP), Pran is my family name and nii, the National Institute of Immunology from where trials were carried out.Heat killed MIP given as adjunct to standard drugs expedites recovery of patients.It also renders a high percentage of multibacillary patients Lepromin positive from otherwise permanent Lepromin negativity status.Patients treated with MIP recover free of ugly blemishes which Drugs alone fail to achieve.MIP is also effective in treatment of Category II, Difficult to treat tuberculosis patients.It is a potent invigorator of immune response and enhances significantly antibody titres of the anti-hCG vaccine under development for control of pregnancy.At the All India Institute of Medical Sciences, New Delhi, it has been used for curing ugly ano-genital warts.
Computerized systems of graphic work review and assessment in the academic digital information and education environment

The author examines the issues of building the computerized system for reviewing and assessing graphic works and its application in distance learning. The need for integrating the system into interoperating digital library systems and online education systems, the role of digital library systems as the information resources for distance learning systems in the circumstances of online education and the need for seamless access to online information learning resources, are substantiated. The phenomenon of public open online courses demonstrates the significant place online learning occupies in the field of education. The need to prepare arts students through distance learning system actualizes the problem of building computerized review systems for graphic works.
On the number of error correcting codes

We show that for a fixed $q$, the number of $q$-ary $t$-error correcting codes of length $n$ is at most $2^{(1 + o(1)) H_q(n,t)}$ for all $t \leq (1 - q^{-1})n - C_q\sqrt{n \log n}$ (for sufficiently large constant $C_q$), where $H_q(n, t) = q^n / V_q(n,t)$ is the Hamming bound and $V_q(n,t)$ is the cardinality of the radius $t$ Hamming ball. This proves a conjecture of Balogh, Treglown, and Wagner, who showed the result for $t = o(n^{1/3} (\log n)^{-2/3})$.
Evaluation strategies of the student learning process during the new normality

The COVID-19 pandemic accelerated the realization of classes through virtual platforms and made the teacher evaluation, instead of positively reflecting the level of knowledge, evidenced a low performance of the students, in this case, of the Preparatory No. 7 of the Autonomous University of Guerrero, Mexico. To explain this problem, qualitative research was carried out with descriptive and interpretative scope. 50 students were interviewed, and a structured questionnaire with ten open-ended questions was developed. The main results indicated that students perceive that traditional assessment does not reflect their knowledge, but incipient learning, stress and anxiety, so they suggested modifying the assessment process.
The influence of inputs in the information security policy development: an institutional perspective

Purpose The purpose of this paper is to investigate what role literature-based inputs have on the information security policy (ISP) development in practice. Design/methodology/approach A literature review is carried out to identify commonly used inputs for ISP development in theory firstly. Secondly, through the lens of institutional theory, an interpretive approach is adapted to study the influence of literature-based inputs in the ISP development in practice. Semi-structured interviews with senior experienced information security officers and managers from the public sector in Sweden are carried out for this research. Findings According to the literature review, 10 inputs for ISP development have been identified. The results from the interviews indicate that the role inputs have on the ISP development serves as more than a rational tool, where organisational context, institutional pressures and the search for legitimacy play an important role. Research limitations/implications From the institutional perspective, this study signifies the influence of inputs on ISP development can be derived from institutionalised rules or practices established by higher authorities; actions and practices that are perceived as successful and often used by other organisations; the beliefs of what is viewed as appropriate to meet the specific pressures from stakeholders. Practical implications This research recommends five practical implications for practitioners working with the ISP development. These recommendations aim to create an understanding of how an ISP could be developed, considering more than the rational functionalist perspective. Originality/value To the best of the authors’ knowledge, it is the first of its kind in examining the role of literature-based inputs in ISP development in practice through the lens of institutional theory.
Bicep Curl Count: Computer Vision Based Counting

Abstract: Gym is a place which is mostly used by everyone these days. It is important to have a good trainer in order to guide you so that you can avoid injuries. Gym machines are getting upgraded at a high pace like Flexnet, which provides us with a AI based virtual assistant. Virtual assistant is used by mostly everyone in daily life like while walking to count steps, or the use of SIRI or ALEXA which are also an example of virtual assistant. These assistants are required in gym to count our repetitions while we are exercising. So this project uses MediaPipe and its inbuilt libraries with the help of Computer Vision to get the best result. With the help of this project we are marking the various coordinates of our body and then calculating the angle of our left arm to measure our arm angle and then counting the repetitions of it. Keywords: AI, Virtual Assistant, ALEXA, SIRI, Repetitions, Computer Vision.
TEXT AS THE MAIN FORM OF KNOWLEDGE CONTROL STUDENTS WITHIN THE CREDIT-MODULAR LEARNING SYSTEMS

The article deals with some peculiarities in using testcontrol as the means o f mostly objective grading o f students' knowledge.
PEDAGOGICAL TECHNOLOGIES IN CONTEXT PROFESSIONAL TRAINING OF A MUSIC TEACHER

In article the questions o f substantiation contents of pedagogical technologies in context of organization music and polyart activities are considered. Opportunities of influence art culture on musical development of pupils take into account. The choice of methods, receptions, principles of teaching as a part of pedagogical technologies in conformity with laws of arts is provided.
Visualization question answering using introspective program synthesis

While data visualization plays a crucial role in gaining insights from data, generating answers over complex visualizations from natural language questions is far from an easy task. Mainstream approaches reduce data visualization queries to a semantic parsing problem, which either relies on expensive-to-annotate supervised training data that pairs natural language questions with logical forms, or weakly supervised models that incorporate a larger corpus but fail on long-tailed queries without explanations. This paper aims to answer data visualization queries by automatically synthesizing the corresponding program from natural language. At the core of our technique is an abstract synthesis engine that is bootstrapped by an off-the-shelf weakly supervised model and an optimal synthesis algorithm guided by triangle alignment constraints, which represent consistency among natural language, visualization, and the synthesized program.
PERSONALLY ORIENTED LEARNING AS FACTOR OF STIMULATION OF CREATIVE STUDENT ACTIVITIES

The article grounds the necessity of modernization of preparation of specialists on condition o f higher school. The assent is made on personally oriented teaching as the factor of stimulating creative activity o f students, their readiness to creative professional activities.
Tobacco Traceability and Storage Scheme Based on IPFS+ Consortium Chain

There are many problems with traditional digital supply chains. For example, traceability data such as planting information, processing information, logistics information and distribution information are all stored centrally or by a third party. There are risks of privacy breaches, server security breaches, and termination of operations. In addition, due to the particularity of blockchain, it cannot be used as a traditional database. Some large files and a lot of redundant data are not suitable for direct link. We propose an on-chain and off-chain collaborative storage model. We use consortium chains in conjunction with IPFS (Interplanetary File System). The proposed framework can meet the needs of all parties to share data in the case of distrust. In addition, traceability data is stored safely under the chain, which not only reduces the pressure of blockchain storage, but also meets the needs of consumers for traceability.
DLA: Dynamic Label Assignment for Accurate One-stage Object Detection

One-stage object detector has been the most widely used framework in modern object detection due to its excellent performance and high efficiency. Label assignment, which is designed to discriminate positive and negative samples in training process, is closely correlated to the detection performance of one-stage detectors. Previous works commonly utilize geometric prior such as anchor box or key point to determine positive samples. Despite its simplicity, the heuristic strategy is rigid and it might limit the upper bound of detection performance. By introducing extra semantic information, prediction-aware geometric score and sample re-weighting mechanism, we propose a novel strategy called Dynamic Label Assignment in this paper. To validate the effectiveness and generalization of our method, we conduct extensive experiments on the MS COCO dataset. Without bells and whistles, our best model with ResNeXt-101 as backbone achieves state-of-the-art 46.5 AP, surpassing other strong methods such as SAPD [30] (45.4 AP), ATSS [25] (45.6 AP), and GFL [11] (46.0 AP) by a large marigin.