Reviewerly/exHarmony huggingface dataset:
A Text Detection and Recognition System Based on Dual-Attention Mechanism with Artificial Intelligence Technology

With the rapid development of Internet and artificial intelligence technology (AIT), a large number of social media tools such as Facebook, Twitter and Instagram have emerged, which not only provide a wide communication platform for Internet users, but also generate tens of thousands of text information with rich emotions. In this paper, we study and analyze the text detection (TD) and recognition system (RS) based on the dual-attention mechanism (DAM) under AIT, and discuss the text localization method, the generation of candidate text regions, and the key points of text extraction and recognition; we introduce the DAM to train the model by two different types of feature maps to improve the TD and recognition performance.
The relevance of creating a scientific and educational complex for training specialists in revitalization

At the present stage of development of the advanced society of the planet, a more careful attitude to the objects of the past, which have the value of cultural heritage, becomes relevant.One of the problems is the lack of uniform norms for the interpretation of objects as cultural heritage units.Consequently, in each society the fund of such objects is formed according to different principles.Some of these units, which become objects and structures of cultural heritage, fall into significant disrepair or lose harmony with the renewing environment, landscape, and buildings over time.The relevance of their existence or the profitability of their restoration is under threat.The way out of this situation was the process of revitalization, i.e., giving an object or structure a new life while preserving the part of the authentic appearance (exterior) survived to this day.The study subject was the processes of evolution and transformation of klironomical thought in revitalization of cultural heritage objects and objects.The study object was a scientific and educational complex for the revitalization of cultural heritage objects and objects.The study purpose was to identify the evolutionary regularity of the actualisation for creating a scientific and educational complex to train future specialists in revitalization.To achieve the set purpose and solve problems, historical, logical, and comparative methods were used in the study course.In the study course, the works of scientists and researchers in the history of urban planning and architecture, in revitalization, culture and cultural heritage (Klironomy) were used.The author concludes that the study revealed an evolutionary need for the emergence of a new specialty that would represent specialists in revitalization, who will have a broader professional view of the principles, processes and conditions for the revitalization of cultural heritage objects and structures.For the emergence of specialists in revitalization in state, municipal, and commercial structures, it is necessary to create a scientific and educational complex for training specialists on the basis of universities and research institutes that deal with the problems of urbanisation, urban planning, architectural and landscape design.However, the fundamentally distinctive feature of such a scientific and educational complex should be an approach from a klironomical worldview, i.e., the main mental activity of a specialist should be the maximum preservation of the cultural and historical forms of an object or structure and the desire to adapt the environment to the historical appearance of the revitalized object using the latest technologies and new art forms.
Sample and Feature Enhanced Few-Shot Knowledge Graph Completion

Knowledge graph completion is to infer missing/new entities or relations in knowledge graphs. The long-tail distribution of relations leads to the few-shot knowledge graph completion problem. Existing solutions do not thoroughly solve this problem, with the few training samples still deteriorating knowledge graph completion performance. In this paper, we propose a novel data augmentation mechanism to overcome the learning difficulty caused by few training samples, and a novel feature fusion scheme to reinforce data augmentation. Specifically, we use a conditional generative model to increase the number of entity samples on both entity structure and textual content views, and adaptively fuse entity structural and textual features to get informative entity representations. We then integrate adaptive feature fusion and generative sample augmentation with few-shot relation inference into an end-to-end learning framework. We conduct extensive experiments on five real-world knowledge graphs, showing the significant advantage of the proposed algorithm over state-of-the-art baselines, as well as the effectiveness of the proposed feature fusion and sample augmentation components.
Low-Light Image Enhancement Algorithm Based on the Fusion of Multi-scale Features and Attention Mechanism

Aiming at the problems of Retinex-Net such as large noise of reflection component, low brightness of illumination component and insufficient feature extraction, a low-light image enhancement algorithm based on fusion of multi-scale features and attention mechanism is proposed. First, the Retinex-Net network is used as the basic model to decompose the input image, and the atrous convolution and ordinary convolution are fused to achieve multi-scale feature extraction to obtain more detailed information; multi-layer attention is introduced into the enhanced network. The force mechanism module enhances the brightness of the details and illumination components; finally, the denoised reflection components and the enhanced illumination components are fused into a normal illumination image output. Experiments show that the algorithm can effectively improve the details of the image and improve the visual effect of the image.
The Development Countermeasures of Higher Vocational College Library in the New Reading Era—Taking Physical Education Colleges as an Example

The library shoulders the functions of spreading culture, information, education and other aspects.The library of higher vocational colleges is an important space for teachers and students to learn, share and promote their growth, and is also one of the main positions of university education.Therefore, attaching great importance to the construction and publicity of libraries in higher vocational colleges can help improve the utilization rate of book resources, promote the learning progress in various provinces, and form a good learning atmosphere in schools.Based on the problems faced by higher vocational college libraries at the present stage, such as inaccurate positioning, lack of resources and insufficient publicity, this paper analyzes the characteristics and development direction of higher vocational college libraries.Taking physical education colleges as an example, this paper explores the development countermeasures of higher vocational college libraries in the new reading era, with a view to putting forward some suggestions for promoting the strategy of cultivating high-quality new talents in China.
Research on the Construction Scheme of University Smart Financial Innovation Practice Base under the Background of Big Data

After the rise of education reform in China, more and more schools began to pay attention to the construction of practice bases.As an indispensable auxiliary part of each enterprise's development, finance reform naturally received high attention.Especially with the advent of the big data era, the demand for high-quality compound financial talents is growing rapidly.However, the practical skills of financial talents cultivated from the traditional financial practice bases built by various universities are relatively weak, and it is difficult to really fill the demand for financial talents required by modern enterprises.In this regard, based on the background of the big data era, all universities should attach importance to the construction plan of the financial innovation practice base.At present, China's development in the construction of financial training bases is relatively slow.As an important place to cultivate talents, the most important task of colleges and universities is to accelerate the pace of financial innovation.Based on this situation, the author hopes that the analysis of the author can provide a reference basis for the financial reform of colleges and universities in the era of big data.
Self-Directed Learning Capacity by Differentiated Teaching – A Case Study of High School Students

Self-directed learning (SDL) capacity is one of the core common values of students, as defined in the Vietnam General Education Curriculum 2018 (VGEC). Because of the students’ variety in capacity and needs, educators are challenged to assist in the development of self-directed learning skills and to encourage learners to more freely use self- direction in their learning activities by personalization and differentiation in teaching practices. However, previous works on SDL in Informatics for Vietnamese students mainly focus on educators’ teaching without considering academic diversity. Our work introduces differentiated teaching and criteria to classify students in Informatics. On the basis of criteria, we designed a procedure to develop SDL capacity in Informatics for high school students. We also provide an implementation setting applying our method which uses the combination of cognitive capacity, personality classification and dependability criteria. The SDL capacity assessment can be used in addition to evaluate the improvement on students’ SDL capacity scores.
The Pattern of Students’ Teaching-learning Experiences, Predictors and Learning Outcomes: Focusing on High School Type and Student Engagement at College

Objectives The purposes of this study is to classify latent profiles based on the teaching-learning experience perceived by students using the 9th to 10th data of the Gyeonggi Education End Study, and to explore the high school type that affect the classified latent profiles. In addition, current study examined the association between these profiles with student engagement entering university.&#x0D; Methods Data from the 9th (third grade of high school) and 10th (freshman of university) wave of the the Gyeonggi Education Panel Study elementary school pane l(N = 2,927) were used. In this study, student data for the 9th wave, the 10th wave and school data were integrated using student ID and school ID. For analysing, latent profile analysis and multinomial logistic regression and OLS logistic regression analysis were performed.&#x0D; Results As a result of the analysis, the teaching-learning experience of adolescents was classified into three groups, and it was named as a high-level group, a middle-level group, and a low-level group according to the level of teaching-learning experience. When general high schools were used as the reference for the latent profile, no statistically significant difference was detected across autonomous private high school. However special purpose high schools and specialized high schools showed statistically significant effect. Student of special-purpose high schools were more likely to belong to the high-level group than low-level group. In addition, Student of specialized high schools were more likely to belong to the low-level group than middle-level group Moreover, the latent profiles were found to have an effect on participation in learning after entering college. In other words, the finding of this study indicated that youth classified in the middle-level group or the high-level group actively participated in university learning and were less negligent than those in the low-level group.&#x0D; Conclusions Current study found that there was a difference in the quality of teaching-learning experienced by students according to the type of high school. In addition, this difference had a significant effect on participation in learning after entering college. Based on these results, it is necessary to provide equal quality education in order to cultivate talented people who meet various high school types' purposes. In particular, it is necessary to improve the quality of education by providing various teaching methods through the improvement of teachers' expertise and competency development.
Physics and History Subject Viewed through Disciplinary Literacy

In this article, we would like to introduce a collaborative study that was a little special among the various collaborative studies we did. It is a collaboration with history education and Korean language education majors in the viewpoint of physics education major. The comparison of the two disciplines, ‘physics’ and ‘history’, which seem a little far from natural science and do not seem to have anything in common, becomes a suitable judgment for Korean language education majors as ‘disciplinary literacy’. It is possible because we bring disciplinary literacy that contrasts with content area literary, and it is the viewpoint that reading and writing education should be approached from the standpoint of each subject because the epistemology of subject interaction, vocabulary and major knowledge, and discourse interests are different among subjects. Although physics and history represent the humanities and natural sciences, respectively. They have many similarities and differences. The main body of this article is structured around content that is easy to access even if you are not an education-related expert, excluding the excessively academic part of the three studies that compared physics and history. The first is a comparison of reading physics and historical texts. It is natural that everyone reads the writings of their major the best, but this study started with the question of whether the characteristics of that major will appear when reading the writings of other majors. Second, the descriptors of the achievement standards of the physics and history curriculum are analyzed. In Korea, the national curriculum is revised about every 7 years, and this study is conducted to find an answer to the question of whether disciplinary characteristics will appear in this curriculum document. Lastly, it is judged that these disciplinary characteristics would be well revealed in textbooks. By comparing the description methods of physics and history textbooks, we discuss on the characteristics of the studies.
Rancang Bangun Game Stickman Dengan Metode Quadtree

Quadtree method is a method of dividing region into 4. Quadtree method can be applied to make collision detection easier for collidable objects. Collision detection will be done in the smallest region of the quadtree division because of the limited speed in collision detection. This problem becomes a problem where to produce a game with optimal detection is done by dividing the region with quadtree method by dividing the region into 4 until the collidable objects in each region does not exceed the predetermined limits, thus reducing the parts that need to be checked without having to check as a whole. The method used in development is quadtree. This method is suitable to be applied to games that require collision detection in it. From this study it is obtained that the quadtree method by limiting the collision detection area can produce an optimal speed seen from the frame per second produced. The game built is expected to be able to optimize similar games that use collision detection in it. It is suggested to do further research with various types of other games.
A hierarchically sampling global sparse transformer in data stream mining for lightweight image restoration

Abstract With the rapid development of information technology, mining valuable information from multi-source data stream is essential for redundant data, particularly in image processing; the image is degraded when the image sensor acquires information. Recently, transformer has been applied to the image restoration (IR) and shown significant performance. However, its computational complexity grows quadratically with increasing spatial resolution, especially in IR tasks to obtain long-range dependencies between global elements through attention computation. To resolve this problem, we present a novel hierarchical sparse transformer (HST) network with two key strategies. Firstly, a coordinating local and global information mapping mechanism is proposed to perceive and feedback image texture information effectively. Secondly, we propose a global sparse sampler that reduces the computational complexity of feature maps while effectively capturing the association information of global pixels. We have conducted numerous experiments to verify the single/double layer structure and sampling method by analyzing computational cost and parameters. Experimental results on image deraining and motion deblurring show that the proposed HST performs better in recovering details compared to the baseline methods, achieving an average improvement of 1.10 dB PSNR on five image deraining datasets and excellent detail reconstruction performance in visualization.
Effect of Yogic Lifestyle on Engineering Students

In today's competitive life, everyone wants to outdo each other, and engineering students are no exception. Engineering students are always under the pressure of heavy course load, practicals and assignments not being completed on time. Moreover, due to the fear of examination every semester, staying awake till late night and unbalanced routine makes the students physically and mentally weak. Due to which anxiety, self-aggrandizement and sometimes violence is also seen in their mind, looking at all these reasons, practicing yoga is proving to be a boon for engineering students, because yoga is such a spiritual discipline. Which helps in keeping the body, mind, senses and soul healthy. Yoga is helpful in leading a healthy and happy life. Due to the practice of yoga, there can be a very significant change in the routine of the students, and the physical and mental health of the students is maintained, so that the students can also improve their studies and career. That's why, yoga practice proves to be very effective and useful for an engineering student.
MACROH2A1.1 SITS AT THE INTERPLAY BETWEEN EPIGENETICS AND INFLAMMATION OF MESENCHYMAL STROMAL CELLS IN MYELODYSPLASTIC SYNDROMES

In this paper, we propose a novel approach for exploiting structural relations to track multiple objects that may undergo long-term occlusion and abrupt motion. We use a model-free approach that relies only on annotations given in the first frame of the video to track all the objects online, i.e. without knowledge from future frames. We initialize a probabilistic Attributed Relational Graph (ARG) from the first frame, which is incrementally updated along the video. Instead of using the structural information only to evaluate the scene, the proposed approach considers it to generate new tracking hypotheses. In this way, our method is capable of generating relevant object candidates that are used to improve or recover the track of lost objects. The proposed method is evaluated on several videos of table tennis, volleyball, and on the ACASVA dataset. The results show that our approach is very robust, flexible and able to outperform other state-of-the-art methods in sports videos that present structural patterns.
PENGUKURAN TINGKAT EFEKTIFITAS SISTEM INFORMASI PERPUSTAKAAN MENGGUNAKAN TEORI DELONE &amp; MCLEAN

The Reading Group of Gelaran Jambu Daar El-fikr or often called Gelaran Jambu was initiated and pioneered in 2008. It's located in Jambu Village, Kayen Kidul District, Kediri Regency. As an alternative education for local residents besides school, it is also a creative community that wants to develop personal potential through book- based education. Gelaran Jambu has more than 3000 books with various titles and genres. Children's books to adult books are available. Since September 2021 Gelaran Jambu has been using Senayan Library Management System (Slims), a web-based open-source application to fulfill library needs. Slims can be accessed for free and modified according to library needs. After the system has been operated for some time, it is necessary to measure its effectiveness to see the extent to which the goals have been achieved. Measuring the effectiveness of information systems using the Delone &amp; Mclean IS Success Model theory with the Structural Equation Modeling (SEM) method. It is using a quantitative approach with descriptive statistical research techniques. The tool used to analyze the data is SmartPLS. The sample data used was 47. The results found three acceptable hypotheses and six hypotheses that were not accepted. The accepted hypotheses are System Quality to usage and User Satisfaction. And Usage to net benefits. Hypotheses that are not accepted: Information Quality to usage and User Satisfaction, Service Quality to usage and User Satisfaction, Usage to User Satisfaction, and User Satisfaction to Net benefits.
REVIEW ON SOLAR POWERED SMART GROUND MARKING AND GRASS CUTTING MACHINE

There are various types of tools used by contractors to create marking lines, both automatically and manually.In this modern age, most contractors use machines to save time.However, the high cost of purchasing machines restricts line marking work, especially in educational institutions.Based on observations, educational institutions face some problems while doing line marking work.The manual process of refilling the marking medium takes a lot of time.In addition, old marking tools are difficult to operate, especially for unskilled operators dealing with large-scale marking products, and they are difficult to carry due to their large size.The objective of this project is to design and fabricate tools that can facilitate the marking process, along with a smart grass-cutting application.These tools will be affordable for commercial use.The automating lawn cutter is a semi-automated grass-cutting vehicle that includes ground marking, is powered by solar energy, and is capable of avoiding obstacles.The grass cutter and vehicle motors are interfaced with a controller that controls the working of all the motors.The controller moves the vehicle motors in a forward direction in case no obstacle is detected.On obstacle detection, the ultrasonic sensor monitors it, and the microcontroller stops the grass cutter motor to avoid any damage to any object, human, or animal.The microcontroller then turns the robotic as long as it gets clear of the object, and then moves the grass cutter, along with marking features, in the forward direction again.
VISION BASED HUMAN FALL DETECTION SYSTEM

The vision based human fall detection system uses Raspberry pi and YOLO algorithm which describes a computer vision system.This system takes the real-time video as an input from the camera, then it applies the YOLO algorithm to detect the human in particular frame.After detecting the human in frame the system uses Alpha-pose estimation to detect Skeletal pose of the human and then it determines whether the fall has occurred.If fall has occurred then the system sends message to the caretaker.This technology has capability to improve the quality of life of elderly and disabled individuals by providing them safety and security measures.
WITHDRAWN: Application of graph neural network and feature information enhancement in relation inference of sparse knowledge graph

The Publisher regrets that this article is an accidental duplication of an article that has already been published, http://dx.doi.org/10.1016/j.jnlest.2023.100194. The duplicate article has therefore been withdrawn. The full Elsevier Policy on Article Withdrawal can be found at https://www.elsevier.com/about/policies/article-withdrawal