Reviewerly/exHarmony huggingface dataset:
High Reliability Vehicle Motion Planning Algorithm Based on Optimal Control Principle

This paper presents a dynamic obstacle avoidance motion planning algorithm based on optimal control principle. Firstly, the condition model of non-intersect between the vehicle pose and the predicted obstacle trajectory and the condition model of the vehicle body in the highway are established through the relationship between the position of the vehicle pose in the connected coordinate system and the position of the four vertexes of the vehicle body, in addition, the kinematics model of the vehicle and the kinematics constraints of the vehicle constitute the constraints in the optimal control of the vehicle .aiming at the measurement of the termination state, the measurement of the energy consumption of vehicle movement and the riding comfort, constructed an aggregative performance index function. Finally, according to the constraint conditions of the constructed motion planning and the aggregative performance index function of the motion planning, establish the corresponding dynamic solving algorithm.
Data Deletion and Recovery of Androd Plaforms

The Android platform accounts for 83% of the global smartphone operating system market share. Android smartphones store personal information and smartphone usage data. In order to prevent cyber security threats, it is important to manage data stored in Android smartphones. In this paper, we analyze the deleted data and recovery possibilities remaining in smartphones using Android 9 and 10. The deleted data recoverability analysis is performed based on the scenario of deleting data using the app's own features. We confirmed that deleted data can be recovered from the android messenger application. This paper result is expected to be applicable to IoT devices based on Android platform and we found that sustained research on Android platform should be conducted from the perspective of forensics.
Pluralistic Face Image Completion Based on StyleGAN

For masked images, although there are many methods that can be completed to a reasonable result, their output is only one. In fact, there should be multiple possible predictions for a masked face image. To address this limitation, in this paper, we propose a pluralistic face image completion method to generate more than one reasonable result. The generative adversarial network can generate images from random noise, and we believe that each image corresponds to a latent vector. We use the image generated by StyleGAN as the training set, train a ResNet module to extract the latent vector of the image, and then use this latent vector to generate the image so that the image can be reconstructed. For masked images, we do not consider the missing information area when we calculate the loss. We conduct experiments on the FFHQ dataset, and experimental results show that this method can effectively achieve pluralistic face image completion.
THE INTERACTION OF A CRITIC AND A WRITER AS A COOPERATION

The article studies of the main trends of interactions between a literary critic and a writer whose works are under analysis. There was shown that the integrity of heterogeneous, from the first sight, phenomena researched by the critic allows observing the diversity of one’s methods — these are combination of science and criticism; profound view of world context and experience in judging about a certain literary work; serious attention paid to word. The purpose of this article is to assert the literary critical activity of a writer as one of the creative interaction form that is relevant nowadays, on the background of rapid proliferation of informational technologies and electronic communication means. That is why such generic varieties of criticism as an essay, a literary-critical article, letter writing and a review were taken into consideration. The intellectual constituent of literary criticism emerges in connection with sensory components that are alleged to be the source of inspiration for a poetic or a prose work. Therefore, the priority in this study is given to the psychological aspects of interaction, which are perception of a written work by a critic, its consequent comprehension in terms of formal and substantial factors, a conclusion (positive or negative), and the advice for the author reviewed to improve one’s individual style. What is of the greatest importance is the selection of writers, who would be able to represent the essential points in the entire literary process, and to stand out of the crowd due to their originality. These are the features to make the literary critic’s activity both interesting and relevant — for a writer and literature as a whole, as well as for a reader. As a conclusion, there is affirmed that the utmost level of a literary critic’s mastery is one’s ability to conduct a dialogue with a writer reviewed, keeping up to philological categories. This is the way to create the special ‘counterpoint’ of the critic’s positive and negative visions of a literary phenomenon with a purpose to help a novice writer to comprehend the advantages of one’s work, to correct any mistakes in it, and to improve the skills of figurative worldview so as to embody it in words.
EVALUATION OF PRO-VOCATIONAL EDUCATION IN SPECIALISED SECONDARY SCHOOLS

Specialised secondary schools started functioning in the school year 2002/2003 in fourteen lines (specialisations). This article presents pro-vocational education as a process implemented in specialised secondary schools with a mechatronic specialisation. The curriculum of the specialised classes includes three modules implemented in grades one to three. The results of curriculum evaluation have shown that for their full implementation, it is necessary to equip schools with specialized teaching aids as well as properly prepared and systematically trained teachers and young people eager to study, properly motivated and prepared in the lower secondary school.
INTERDEPENDENCES OF THE THEORY AND EFFECTS OF CHILDREN’S EDUCATION

The task for modern scholarship is the education by the needs of the contemporary world. Education should be understood as a process supporting the multidimensional development of the human personality. A special place is taken by the process of education at the period of childhood (pre-school and younger school age). The paper presents theoretical foundations of the child’s development and their application in practice. There are presented factors and stages of work, supporting the pupils’ development, as well as the relation between pupils’ achievements and teachers’ training. The paper is focused also on the National Qualification Frames.
Towards a framework for Internet of Things and Its Impact on Performance Management in a Higher Education Institution

In computing, the Internet of Things (IoT) refers to a networked structure of linked computers gadgets, technical and computerized equipment, things, creatures, or humans who have separate personalities and the ability to transmit information without the need for direct human or computer interaction. As per study, 50 billion items would be linked to the internet, with 35 billion being IoT devices and the other 15 billion being smartphones, tablets, smart objects, and the like. Technologies have had a significant effect on the learning experiences in current history. The Internet of Things (IoT) is greatly benefiting the field of information and communications technology as well as societal growth. With IoT, educational institutions may improve their students&#x0027; learning experiences by offering more rich learning opportunities. The Internet of Things need expansion, which universities may be able to assist with. Scholars, researchers, and students play a critical role in advancing the research and development of Internet of Things systems, devices, apps, and activities, as well as in identifying new opportunities. On the other hand, the Internet of Things presents major challenges to higher education. As a consequence, this article also offers a point of view on the challenges of IoT in higher ed, which is discussed further below. The Internet of Things (IoT) has a significant impact on the way university&#x0027;s function &#x0026; improves student education across a broad variety of disciplines and at all stages.
Modern HCI for Mobile Applications, Study and Challenges

In the past few decades, we have witnessed the rise of the mobile computer, and with that rapid development comes new ways humans are able to interact with these devices. With the multitude of embedded sensors included in these smart devices, software tools can be developed that can mimic, and even replace, the functionality of traditional physical tools such as maps using mobile Global Positioning Systems (GPS), or digital cameras. The goal of this paper is to research and discuss our findings on how Human Computer Interaction (HCI) with mobile devices differ from traditional HCI, how these differences can be used for new HCI opportunities, as well as the ways our interaction changes in response to a new modern HCI.
Creation of Webquest as a Form of Development of Students Digital Competence

The introduction to the article analyzes the current state of implementation of digital learning tools, including web quests. The main purpose of the study was the theoretical justification and practical process of introduction of digital learning tools (webquests) in the process of higher education seekers training. The research methods. In the process of fulfilling the research objective, theoretical and practical methods of data search and processing were applied. Statistical methods were also used at all stages of the pedagogical experiment: in the general assessment of the formation of digital project activities of students; when creating web pages by students of the Faculty of Foreign Languages and the Faculty of History of V.N. Karazin Kharkiv National University; when creating web-quests by each group of students while studying content modules. The results. The means of digital content in the implementation of project-digital activities by students were presented and analyzed, they are creating a website, using mobile-digital applications, developing multimedia materials for the educational process, developing and presenting digital pedagogical content. During the study, students created a website and developed a webquest «Non-standard lessons» for students and young teachers (creating a mental map «Characteristics of varieties of non-standard lessons»; identifying the main differences between standard and non-standard lessons using Euler-Venn’s diagram; creating «Daily rules of effective pedagogy» and placing them on the online board). The formation of students' digital competence by means of project-digital activity was checked at three levels (high, medium, low) and by the following criteria: motivational, semantic, activity and reflection. It was stated that the experimental verification of the formation of digital competence of humanities students by means of project-digital activities showed a positive dynamics in all criteria. Conclusions. The authors concluded that a project-digital activity served as an effective way to improve the digital competence of higher education students, this practice in the educational process would help their future professional activities as teachers. It was also emphasized that the role of digital technologies will continue to grow and higher education seekers should understand how to use them for educational purposes.
Personal Information Protection Crisis Management in Big Data

Due to rapidly-rising development of ICT the era of Big Data comes in modern lives and Big Data are deeply located at our everyday lives. Personal informations are integrated, used widely at the many aspects including public and private sectors. Big Data including personal informations in itself become giant industries in modern business nowadays. Big Data that personal informations have been integrated may cause serious infringements of personal informations. According to Personal Information Protection Act in the cases one collects or uses personal informations one has to obtain consent by concerned party of personal information. But it is not easy to obtain consent that is necessary to collect and use Big Data creating massively and automatically by ICT instruments. In the aspect of management of Big Data, to protect personal informations throughly, pseudonymisation, anonymisation of personal information have to be permitted in the Big Data collections and uses. And possibility of fake manipulation about Big Data may always exists.&#x0D;
Project Gutenberg celebrates its 50th anniversary

In 2021, a number of memorable events are celebrated: 50th anniversary of Project Gutenberg (the first digital library); 10 years since the death of its founder, Michael Hart; 55th birthday of the creator of the famous Russian digital library Maxim Moshkov. This paper is an attempt to show the significance of these events for Internet and its users. Special attention is paid to the issues of copyright duration legislation. This has become one of the main obstacles in the activities of the mentioned digital libraries.
Instilling Negative Stereotypes in Jackie Sibblies Drury’s Play Fairview (2018)

This thesis is an analysis of the Play Fairview (2018) by Jackie Siblies Drury. The purpose of this analysis is to expose the issue of instilling negative stereotypes. It is also intended to expose how the contribution of fictional elements (character, setting, plot/conflict, and stage direction) in revealing the issue of instilling negative stereotypes. This analysis is done through text-based and context-based interpretation which are related to the concept of The Fact of Blackness by Frantz Fanon in his book Black Skin, White mask. The result of this analysis shows white has instilled the negative stereotypes toward black by circulating and perpetuating through the media that black is forever inferior.
Translation Quality of English Version of West Sumatra Tourism Brochure 2020

The aim of this research is to analyse the translation quality of the English Version of West Sumatra tourism brochure 2020. It was carried by using descriptive method. Twenty-seven tourism brochures werestudied based on the translation quality assessment model which is developed by Nababan et al. (2012). After completing the analysis, it was found that that 21 texts (77.77%) are categorized in the accurate level, 6 texts (22.23%) are translated less accurately, and none of the texts is translated inaccurately. In terms of their acceptability, 17 texts (62.97%) are less acceptable, 9 texts (33.33%) are categorized in less acceptable level, and the other text (3.70%) is assessed as the unacceptable translation.In addition, 20 texts (74.08%) are readable, 5 texts (18.52%) are less readable. Meanwhile, the other 2 texts (7.4%) are not readable.The results of the translation quality show that the translation of West Sumatra tourism brochuresis mostly accurate, acceptable and readable.
Didactic strategies to strengthen creative thinking in the classroom. A meta-analytic study

Creative thinking is a talent that all human beings possess; however, some exercise it more than others. From an educational point of view, this type of thinking can be strengthened through various means. The objective of this research was to analyze the basic concepts of creative thinking, their importance, and the most relevant didactic strategies used in the classroom for their effectiveness. For this, a descriptive-analytical study was carried out, reviewing diverse scientific literature in indexed journals. As a result, valuable information was obtained from 54 scientific articles, accessing various sources, databases, and repositories such as Ebsco, Researchgate, Google scholar, Pro-Quest, Scopus, Dialnet, and Eric. The results show that various strategies are worked on in the classroom that strengthens and develop creative thinking. It is concluded that creative thinking can be created from the first levels of primary education with motivating and meaningful activities for students.
Didactic strategies to promote creative thinking in classrooms

In recent decades an education that develops creative thinking has been promoted. The teacher must design learning strategies that strengthen this ability in students. The objective of this work was to carry out a detailed investigation on creative thinking and the strategies to promote it in this century. The methodology used was the documentary review of articles published from various reliable sources. Concluding that there is a need to stimulate the creative thinking of students to generate different solutions and face situations that arise in the context.
Research on Object Detection Method of Underground Video Image Based on SSD

Monitoring video image target detection in coal mine is of great significance to the safety of underground workers. In order to solve the problem of huge task and low efficiency of manual monitoring target, this paper establishes a deep learning model for target detection of underground images. Firstly, the deep neural network is trained by a large number of underground monitoring images, and then different deep learning algorithms are used to detect the target in the image. Finally, the mAP, precision and recall of different neural network target detection are calculated and evaluated, and detection effects of different deep learning detection algorithms are compared by analyzing the detection results. The analysis results show that the four deep learning models in this study have achieved good average accuracy. The target detection effect based on these four deep learning models is more accurate and efficient than other traditional target detection algorithms, which can be applied to target detection in the coal mines.
A binocular location method based on feature point matching and region pixel matching

Aiming at the problem of welding failure due to insufficient positioning accuracy in binocular positioning of welding robot, an improved algorithm based on traditional binocular image stereo matching algorithm Semi-Global Block Matching (SGBM) is proposed in this paper. Firstly, the feature points of the whole image are matched through Scale-invariant feature transform (SIFT) corner detection algorithm, then the SGBM algorithm is used for regional stereo matching, the results of sift corner detection are integrated into SGBM matching algorithm. Finally, the parallax image obtained by matching is transformed into three-dimensional coordinates, so as to realize the welding target positioning of welding robot. Experimental results show that the accuracy of the improved algorithm is improved.
Multi-Relational Graph Convolutional Network Based on Relational Correlation for Link Prediction

Knowledge graphs connect different entities through relationships, Multi-relational knowledge graphs are the common graph form. There are many unexplored potential relationships in multi-relational knowledge graphs. Link prediction is commonly used for knowledge graph completion, The link prediction task can infer possible relationships based on existing entities. Inspired by the advances of graph convolutional networks the link prediction task, we proposed a relational relevance-based GCN framework called RC-CompGCN. Firstly, update the embedding of all low-dimensional relations using the relational correlation module. Secondly, combined embedding entities and relationships using the graph structure module and various entities in knowledge graph embedding techniques are utilized relationship combination operations. We use the relational correlation module and graph convolutional network for link prediction tasks for the first time.
Research on the Construction of Cross-border Payment System Based on Blockchain

This paper analyzes the complex organizational relationships of heterogeneous entities in cross-border payment, innovatively designs cross-border payment models, and builds a cross-border payment alliance chain system architecture and mechanism based on blockchain and digital currency. ABM (Agent-based modeling) simulation analysis analyzes the risk prevention capabilities of the alliance chain system established in this article from the perspective of dynamic models and realizes the efficiency improvement of the whole process of the cross-border payment system and the refined supervision of risks.
Improving Multi-Scale Models with A Comparative Framework for Semantic Segmentation

State-of-the-art models of semantic segmentation, based on global convolutional network, ASPP, self-attention, and so on, focus on capturing context information through the fusion of multi-scale features and integrating local features with large kernels. However, these models have not been compared yet in parallel to interpret their relative efficacies. This makes it difficult to further combine or improve these models due to their complicated network structures. In this paper, a general multi-scale framework of semantic image segmentation was proposed to investigate and compare the network structures of the models in parallel. Three alternative modules were proposed to improve these methods, and the experiments show the proposed modules can give superior segmentation results and achieve outstanding performance on Pascal VOC2012 images segmentation datasets. Additionally, this framework was shown to be flexible for integrating the multi-scale features and operations from different levels. Experimental results show that the low-level operation can extract local details and the high-level operation the overall contour, so the output features from different levels complement each other to improve the performance effectively.
An Automatic Response System based on Multi-layer Perceptual Neural Network and Web Crawler

This study proposed a deep-learning based Chinese natural language processing to effectively combine traditional hard-coded judgment and crawler to predict user intention. This study uses Jieba to do word segmentation and TF-IDF for keyword statistics and feature extraction. A multi-layer perceptual neural network is then used to classify user intention. In order to improve accuracy, fixed judgments and crawlers are added to obtain the latest service news on the official website. Experiments were conducted on the training data set (questions) collected by Facebook Chat, compared with the Chinese classification models of the popular methods. 100 questions and answers were tested, the accuracy reached 80% above&#x012F; This shows that our method is feasible for various applications.