Reviewerly/exHarmony huggingface dataset:
Definition of the concept of social and pedagogical partnership as a mechanism for the development of an institution of additional education

The article deals with the phenomenon of socio-pedagogical partnership, shows the genesis of this concept in the historical aspect. Since the term “socio-pedagogical partnership” is a relatively ambiguous concept and has recently arisen in pedagogy, this article shows how the essence of this concept has changed at different stages. In the development of conceptual approaches to social partnership, several significant periods are distinguished, which makes it possible to judge the socio-pedagogical partnership as a development mechanism. In the development of conceptual approaches to social partnership, several significant periods can be distinguished. The first period dates back to antiquity. The second period from the XVI-XVII centuries. – the first half of the XVIII century marks the development of the concept of social partnership based on the ideas of the French Enlightenment and German philosophy. The period from the middle of the XX century is marked by the development of the ideas of civil society, the concept of social society and the construction of its models.
Regional and Urban Data Science Projects for Citizen and Youth Engagement

This article considers the psychological and pedagogical implications of data analysis practices for students' decisions about their personal and professional future and the life of local communities.Using the example of a 10-day "Data Campus" Data Analysis Bootcamp, it explores how students without specific mathematical training can learn to perform data research in the CRISP-DM cycle.The method of research was an ascertaining experiment involving 600 students at the age between 14 and 18 years.The research showed an emotional and activity-based engagement of students in the projects with regional and urban data relevant to their interests, real-life situations, or self-determination tasks the participants face.While reproductive activities related to technical programming skills are relatively easy for students to master, productive solutions to research tasks can be somewhat difficult due to a lack of experience in analyzing intersubject relationships and representing the object under research in a multidimensional feature space.In terms of implementing educational programs that teach data analysis methods in social sciences and humanities in a project approach, students should be provided with appropriate methodological assistance in the form of project mentoring, giving them the opportunity to conceptualize the project before they start working with data.
Engaging Literary Appreciation and Comprehension via a Big Book

This study was motivated by the gains of integrating children’s literature in the Malaysian KSSR (Kurikulum Bersepadu Sekolah Rendah/Integrated Syllabus for Primary Schools) English syllabus. The present study looked into primary students’ perceptions with regard to the usage of the Big Book as well as their comprehension level in terms of the plot development, setting, moral values and characters. Its respondents were 150 Year Four students from three primary schools in one of the rural districts in the Northern region of Malaysia. Its three main research instruments were namely a Big Book, a questionnaire as well as worksheets on plot development work, settings, moral values and main characters. The study revealed that 98.74% of the respondents had overwhelmingly conceded the value of the big book in supporting their comprehension of the story. All respondents had affirmed that they were heavily attracted by the illustrations as well as the colors used in the big book. All of the respondents could effectively grasp the exposition/beginning stage of the plot structure while 93 (62%) respondents had decent conception of the settings of the story. 113 (75%) respondents had sound understanding of the moral values described in the story. About 123 (82%) respondents could competently recognize the main characters. The results of the study had evidently reinforced the significant role of Big Books in enriching ESL learners’ literary appreciation as well as reading comprehension.
How to Make Immersive Technologies More Equitable

Today, immersive technologies—like virtual reality—are celebrated as natural empathy machines, capable of fostering meaningful cross-cultural understanding. I interrogate this assumption through my case study of an early twentieth-century immersive, interactive ride: 20,000 Leagues Under the Sea (1903). The elaborate travel simulation and multisensorial, live-action scenes that followed offered millions of visitors a thrilling glimpse of the electrified future promised by American imperialism. Through 20,000 Leagues, audiences climbed aboard a simulated submarine and traveled to the Arctic (a massive refrigerated warehouse on Coney Island at the height of summer, featuring live polar bears and “authentic” Native Alaskans). Though perhaps experienced simply as entertainment, the ride was a potent pedagogical tool; the amusement introduced visitors to the thrill of “discovery” first-hand while erasing the violence of colonialism. The impact of this ride, and others like it, was profound, contributing to mass support for imperial wars abroad and racial segregation at home. Drawing lessons from my case study, I argue that the early ride was a precursor to twenty-first-century immersive worlds. My work centers on the pressing need to reconnect immersive technology to its historical context or risk reinscribing the imperial gaze into contemporary experiences. To move toward this goal, I offer fellow makers and scholars terminology to articulate the manifestations of the medium’s colonial inheritance, critical questions to guide a more equitable cultural production process, and a contemporary case study of VR film, Traveling While Black (2019), directed by Roger Ross Williams, who is already engaged in this critical work.
Rudiments of Statistical Learning Theory

This first chapter introduces the key concepts of statistical learning theory, such as generalization error, empirical risk minimization, bias-complexity tradeoff, and validation. It also describes the probably approximately correct (PAC) framework and establishes that finite hypothesis classes are PAC-learnable.
Computational Translation Features of Chinese Translation of Emily Dickinson's Poetry: A Comparison of Kang Yanbin's and Wang Jinhua's Translations

Up to now, Chinese scholars have made great achievements in study of Emily Dickinson's poetry, but studies of Chinese translation of her poetry, which is an important part of Emily Dickinson's studies and is necessary and feasible as well, are far from enough. By using python programming language to write program code for word segmentation and part of speech tagging, and with the help of authoritative Chinese Thesaurus, big data statistics and analysis on formal and vocabulary features of Kang Yanbin's and Wang Jinhua's Chinese translation of Emily Dickinson's poems are made, and translation features of the two translations are summarized, which will showcase one of the features of Chinese translation of Emily Dickinson's poetry in China. It is found that in comparison, Wang's translation is more fluent and easy to read, yet due to the too many explanatory, descriptive and connective words added in translation, as well as large difference between the original and the translation in the number of punctuation marks, especially of dashes, Wang’s translation is less concise and faithful. Kang's translation is faithful to original form, and is terse and concise, but sometimes there exists excessive conciseness which entails inadequate expression, and the retardant coherence, as well as occasionally use of rare words sometimes make Kang’s translation obscure, which hinder fluency and readability to some degree.
Narrating Authorship

This chapter considers the role that social-networked, self-curated, precarious career narratives play in the visual effects (VFX) industry labor market.Specifically, the chapter focuses on networked protest and the negotiation between human, technological, and corporate actors in the VFX industry and beyond.An examination of 'green screen' protests that took place almost a decade ago asks what we can learn about liminal labor, inequality, networked protest, and the role that narrative plays in constructing shared meaning and collective value in a precarious and decentralized sociotechnical world.Concluding with a comparative evaluation of the Black Lives Matter protests of 2020, this piece argues that networked protests of the 2013 visual effects industry were a glimpse of a future in which resistance narratives and networked protest function together to redefine liminal labor.
THOR'S CHARACTERIZATION ANALYSIS IN AVENGERS: INFINITY WAR

The film “Avengers: Infinity War” is a film that sequel to 2012's The Avengers, and 2015's Avengers: Age of Ultron. The purpose of this study is to describe the character of one of the main characters, namely Thor and also the representation of the superhero formula from Thor. The method used in this study is a qualitative method with two research approaches, namely structural to examine the character of Thor, while the literary psychology approach uses the theory of Coogan and Cawelti about the superhero formula (protagonist). The results show that Thor has 4 characters, namely 1) Thor is the main character, 2) Thor is the protagonist, 3) Thor is a flat character, because at the beginning of the scene it is shown that Thor is grieving because of the loss of his brother, so Thor tries to take revenge from the beginning to the end of the film. 4) Thor is also a static character in the film. In the analysis of the representation of the superhero formula (protagonist), three points are obtained namely, 1) mission, 2) strength, and 3) costume. The conclusion of this study is that the superhero formula changes depending on culture, civilization, and technological sophistication.
DEVELOPING AN INSTRUCTION MODEL FOR NEWS WRITING BASED ON THE COOPERATIF TYPE GROUP INVESTIGATION STRATEGY

This study aims to produce a learning model of news writing skills using the cooperative type group investigation strategy. This study was a research and development (R&amp;D) that followed Borg &amp; Gall's development procedure. The subject of study was students and lecturers at the University of PGRI Semarang. The developed learning model includes the components of introduction, concepts, advantages, objectives, characteristics, and steps in the learning of news writing based on the cooperative type group investigation strategy. The expert, user/practitioner, expert, user/practitioner, and field testing results showed that the developed learning model could improve the students’ news writing skills in terms of the process and the product. The success in the process was indicated by their activeness and seriousness in the steps of news writing activities based on the cooperative type group investigation strategy. The success in the product was indicated by the improvement of their news writing quality in the aspects of contents/substances and mechanics (spelling and punctuation). The ability to write news to PBSI students with learning models based on cooperative type group investigation strategy is better than students who study with conventional learning models.
EXPLORING STUDENTS’ EXPERIENCES OF TASK-BASED LANGUAGE TEACHING (TBLT) IN VOCABULARY LEARNING: A NARRATIVE INQUIRY

Task-based language teaching (TBLT) is a learning method that is considered more comprehensive compared to the communicative method which has been considered far more useful in language teaching. TBLT proposes the use of tasks as a main component in language classroom because it provides better context for learners to activate their acquisition process and promote second language learning. The current research compares the growth of students vocabulary knowledge in English. The purpose of this study is to know the students’ experiences of TBLT in vocabulary learning. The qualitative research method used in this study is a narrative inquiry. Data was collected through interviews specially semi structure interview based on interview guideline and data analysis by involving students in the online learning process. The findings provide information about the learning process as well as the advantages of TBLT in vocabulary learning. The interview results show that students in general have a positive attitude toward learning vocabulary through TBLT method. Keywords: Students’ Experiences; Task Bask Language Teaching, Vocabulary Learning
ALLEVIATING DATA STORAGE CHALLENGE THROUGH VIRTUALIZATION OF BLOCKCHAIN EMBEDDED WITH INTERNET OF THINGS

Internet of things is evolving day by day with connected devices with continuous advancement in the devices but the security of IoT is not assured due to its trusted third party with centralized servers.Blockchain is a peer-to-peer network, where each peer is responsible for their task without centralized server, and no need to trust anyone in the network.Blockchain is integrated with IoT to improve their security, because of its feature of tamper-proof.Few issues are happening while integrating blockchain to IoT.The main issue that has to be resolved for a blockchain is the storage issue.Whenever the blockchain is evolving the storage of the blockchain is also increasing.IoT peers in the network have to store the entire blockchain to perform the verification of data and the IoT nodes are not having the capability to store the entire data.In this paper, we are discussing the storage issue of blockchain while integrating it into IoT.We proposed a navel approach to resolve the issues of storage by the virtualization technique.The result shows that virtualization reduces the storage capacity for the IoT peers as compared with the previously proposed methods.
MAC Address Anonymization for Crowd Counting

Research has shown that counting WiFi packets called probe requests (PRs) implicitly provides a proxy for the number of people in an area. In this paper, we discuss a crowd counting system involving WiFi sensors detecting PRs over the air, then extracting and anonymizing their media access control (MAC) addresses using a hash-based approach. This paper discusses an anonymization procedure and shows time-synchronization inaccuracies among sensors and hashing collision rates to be low enough to prevent anonymization from interfering with counting algorithms. In particular, we derive an approximation of the collision rate of uniformly distributed identifiers, with analytical error bounds.
GRIN: Make Rewriting More Precise

In computer security, many systems and applications depend on binary rewriting techniques when source code is absent, including binary instrumentation, profiling and security policy reinforcement. While the rewriting technique is continuously evolving, many static binary rewriters are still unable to correctly disassemble and accurately cover all legal instructions. Dynamic binary rewriters can achieve accuracy, but are not able to guarantee a full-coverage. Therefore, existing binary rewriting techniques do not meet all the requirements for binary rewriting, and make various assumptions for their application purposes. In this paper, we present GRIN, a novel and practical binary rewriting tool that can accurately identify each legal instruction, while guaranteeing a code full-coverage. We design a dynamic execution technique, which can identify each legal instruction. Also, we develop a branch backtracking technique, which can address various challenges of identifying Our tool does not require any assumptions and relocation information, and can be applied to all security applications. We have implemented a prototype of GRIN and evaluated the SPEC2006 and the whole set of GNU Coreutils. The experiment results show that the average instruction redundancy for SPEC is only 0.135% and for Coreutils is 0.062%.
The effect of dataset confounding on predictions of deep neural networks for medical imaging

The use of Convolutional Neural Networks (CNN) in medical imaging has often outperformed previous solutions and even specialists, becoming a promising technology for Computer-aidedDiagnosis (CAD) systems. However, recent works suggested that CNN may have poor generalisation on new data, for instance, generated in different hospitals. Uncontrolled confounders have been proposed as a common reason. In this paper, we experimentally demonstrate the impact of confounding data in unknown scenarios. We assessed the effect of four confounding configurations: total, strong, light and balanced. We found the confounding effect is especially prominent in total confounder scenarios, while the effect on light and strong confounding scenarios may depend on the dataset robustness. Our findings indicate that the confounding effect is independent of the architecture employed. These findings might explain why models can report good metrics during the development stage but fail to translate to real-world settings. We highlight the need for thorough consideration of these commonly unattended aspects, to develop safer CNN-based CAD systems.
The Development of Audio-Based Busy Books to Introduce Sex Education to Children Aged 5-6 Years

This study aimed to develop busy book developed based on audio to introduce sex education to children. Sex education is not only given when children reach their teens. Children should be introduced to sex education from an early age. This is a preventive measure to prevent sexual violence against children. The material contained in the busy book includes gender introduction, self-identity recognition, how to maintain body hygiene, limits on touching children's bodies, and prevention of sexual violence in children. This research is a R&amp;D research that adopts the ADDIE model (Analyze, Design, Development, Implementation, and Evaluation). This research produced a product in learning media as teaching materials to introduce sexual education to children aged 5-6 years. Based on the assessment of the learning media experts, the results were 86.25% in the appropriate category, and the material expert assessment got 91% results in the very feasible category. The response assessment of TK M NU students, Darunnajah Kamal, received 96% with a very decent category. Based on this research, it can be concluded that an audio-based busy book is appropriate to use in the application of the introduction of sex education for children aged 5-6 years.
Spider-Inspired HCCapture: Beware That What You Are Writing on Mobile Devices Is Becoming Prey for Spiders

On mobile devices, the most important input interface is touchscreen, which can transmit a large amount of sensitive information. Many researchers have proven that sensors can be used as side channels to leak touchscreen interactive information. The research of information leakage in the restricted area has been relatively mature, but in the unrestricted area, still there are two issues to be solved urgently: chirography difference and posture variation. We learn from the way spiders perceive prey through the subtle vibrations of their webs; an unrestricted-area handwriting information speculation framework, called spider-inspired handwriting character capture (spider-inspired HCCapture), is designed. Spider-inspired HCCapture exploits the motion sensor as the side-channel and uses the neural network algorithm to train the recognition model. To alleviate the impact of different handwriting habits, we utilize the generality patterns of characters rather than the patterns of raw sensor signals. Furthermore, each character is disassembled into basic strokes, which are used as recognition features. We also proposed a user-independent posture-aware approach to detect the user’s handwriting posture to select a suitable one from some pretrained models for speculation. In addition, the Markov model is introduced into spider-inspired HCCapture, which is used as an enhancement feature when there is a correlation between adjacent characters. In conclusion, spider-inspired HCCapture completes the handwritten character speculation attack without obtaining the victim’s information in advance. The experimental results show that the accuracy of spider-inspired HCCapture reaches 96.1%.
Sistem Informasi Transparansi Dana Desa Kabupate Sumenep Berbasis Android

From this modern and sophisticated era the village inspired writers do not have to make benner to publish it to the community, just open the internet and enter the data into the Android application Village Fund Transparency in Kab. Sumenep online and the general public can be accessed. This system is about the budget village funds in an online android application, for people who want budget funds in their villages including in other villages.The process of this system works, the village admin must first log in unless the village admin user name and password are created by superadmin. After that, the admin will manage the village fund budget data then the admin can input the village budget data into the application. Basically, the author issued this information system in addition to facilitate the process of inputting data on village budget funds, the author also wants to introduce the progress of the internet, one of which is based on Android. Need everyone, from any group can use the internet positively.
Analysis and Strategies of College Chinese learning self-efficacy of students in Higher Vocational Colleges

The level of College Chinese learning self-efficacy of students in higher vocational colleges is investigated using quantitative descriptive methods in this study. The questionnaire utilized in this study is based on Liang's 2000 learning self-efficacy questionnaire for college students. The sample includes 984 students from Shandong higher vocational colleges in Shandong province in China. The data is analyzed with SPSS 26 in this study. According to the findings, 25.3 % of students have a high level of learning self-efficacy, 72.7 % have a medium level, and 2.0 % have a low level. In addition, students' ability learning self-efficacy is higher than their behavior learning self-efficacy. Independent sample t-test results show significant differences only in family structure variables, but there are no significant differences in gender, age, hometown, and major variables. This study also gives three strategies to improve higher vocational students' College Chinese learning self-efficacy.
Cloud Computing and Security Fundamentals

In today’s era almost all the organizations are preferring to use cloud as their primary storage. Once the organization uploads its data to cloud, then the organization has no control over it. Then comes the security challenges in handling data to cloud service providers. While selecting a Cloud Service Provider we need to be aware about that service provider before giving our data because as from now you will not have all the control. This paper gives a better understanding on the concept of cloud computing and the risks that came up after outsourcing data handling tasks. Section 1 is Introduction, Section 2 discusses on various Service Models in Cloud Computing, Section 3 contains Cloud Deployment Models, Section 4 focuses on Security Issues and Challenges in Cloud Computing.
Proposal-free Lidar Panoptic Segmentation with Pillar-level Affinity

We propose a simple yet effective proposal-free architecture for lidar panoptic segmentation. We jointly optimize both semantic segmentation and class-agnostic instance classification in a single network using a pillar-based bird’s-eye view representation. The instance classification head learns pairwise affinity between pillars to determine whether the pillars belong to the same instance or not. We further propose a local clustering algorithm to propagate instance ids by merging semantic segmentation and affinity predictions. Our experiments on nuScenes dataset show that our approach outperforms previous proposal-free methods and is comparable to proposal-based methods which requires extra annotation from object detection.