Reviewerly/exHarmony huggingface dataset:
Cum a transformat pandemia artele?

2020 was a difficult year for all the artists as well as for the audience. The artists were forced to bring masks on stage that they would never have wanted. Many art creators have moved their shows online. The public was also affected by all this madness. The people stayed at home and paid tickets online for shows broadcasted online. For many theater makers, preserving a palpable sense of liveness was paramount in adapting a theatri-cal project for a digital medium. Plays and monologues on Zoom about lockdown life had most appreciated on the virtual space. Online plays had a lot of success in most of the countries. Some digital productions had shown impresive formal originality – such as Belarus Free Theatre’s experimental Zoom show “A School of Fools”. The conversation and subject matter has focused on the pandemic lifestyle. Many creators, however, got most excited by projects that brought theater to the digital space in unprecedented ways. Theatre has of-fered us comfort, provocation and entertainment
Secure Medical Data Transmission Over Wireless Body Area Network Using Blockchain

With the application of wireless body area networks, patients can be remotely monitored by doctors. WBANs collect the medical data and transmit it over the internet for further processing. There is need to ensure security of such highly sensitive data over the network. This has deliberately attracted researcher interest to provide WBAN security by integrating blockchain. This chapter discusses internet of things (IoT) architecture of WBANs and proposes a lightweight secure access control using blockchain to achieve higher performance.
A study on the private school of Yeonak and the Nine rolling Valley of Yeonak in Sangju

The purpose of this thesis is to examine the private school of Yeonak, the meeting to compose poetry of Yeonak, and the Nine rolling Valley of Yeonak in Sangju. The contents are summarized as follows.&#x0D; In 1552, Yeongcheon Shinjam was appointed as the pastor of Sangju and built 18 village schools, including Jicheon village school. When this village school was burnt down during the Japanese Invasion. In 1702 this private school was built in honor of the local Confucian scholars and enshrined their mortuary tablets. This private school is the Yeonak private school.&#x0D; This is a collection of poems left by 15 scholars at the meeting to compose poetry in Yeonak for 5 days and 4 nights from May 25, 1622.&#x0D; This book is the first joint poetry collection from Sangsan. From the middle of the 16th century to the first half of the 17th century, the scholars of Sangju held a literary meeting, greatly promoting the culture of Sangju at the time.&#x0D; The Nine rolling Valley of Yeonak is a a grove of nine rolling valley that was established and managed in Jicheon-dong, Sangju-si by Namgye Kang Eung-cheol (1562-1635). It can be concluded that the period when the name the Nine rolling Valley of Yeonak was given was from 1598 to 1608.&#x0D; T he p oems a bout the nine rolling Valley of Yeonak directly and indirectly reveal that they combine their academics and customs with the beautiful scenery of nature. I thought that scholars who studied did not only study, but also enjoyed nature while perfecting it. The Nine rolling Valley of Yeonak was located where Yeonak private school was located, so it was very suitable for both.&#x0D; Since the middle of the 16th century, many scholars who combine both studies and literature have been produced around this place, Cheongri, Sangju, and Jicheon. From the 16th century, studies and literature developed around this area can be found for the following reasons. Firstly, at this time, there was a great management of the village in this area and a lot of talented people were produced. Secondly, it w as t he c enter of l earning at t hat time. T hirdly, it w as a h istorical place. Fourthly, this place is an important transportation hub. For these reasons, from the 16th century, talented people were produced centered on this Yeonak, and scholarship and literature were inevitably developed.
Comparison of English Learning Strategies between Urban and Rural Junior High School Students under the Background of Rural Revitalization

This paper mainly investigates the use of English learning strategies by middle school students in different regions (towns and villages), compares the survey results, analyzes the overall situation of the use of English learning strategies by urban and rural students, and discusses the differences in their use of English learning strategies and how to cultivate rural students' English learning strategies under the background of rural revitalization strategy. This study aims to help students in different regions use English learning strategies more effectively to improve their learning efficiency and develop their autonomous learning ability. Meanwhile, I hope that more English teachers can pay attention to students' learning strategies and strengthen the guidance and training of learning strategies to improve teaching quality.
ANALYSIS OF TEACHER’S SPEECH FUNCTION IN ENGLISH LANGUAGE TEACHING AND LEARNING

This study deals with the utterances of an English teacher of MA Tarbiyatul Banin, Pati, Jawa Tengah. It is aimed to know the type of speech function used by the English teacher in the classroom and to find out how speech functions are applied by an English teacher in the classroom. Researchers apply a qualitative approach and design content analysis based on Ary et al (2010). The subject of this research was an English teacher in Tarbiyatul Banin, Pati, Jawa Tengah. The source of the data is the entity from whom the data was obtained, and the data is the expression used by the English teacher. The Researchers used audiovisual material for collecting data. The data of transcription are classified into six basic types of speech function; they are expressive, directive, referential, metalinguistic, poetic, and phatic. From the teacher who was observed, the researchers found a different total of utterances from each meeting. The total utterance is 154 utterances which are classified into five types of speech function. How the speech functions are applied by the English teacher in the classroom is when the teacher interacted with her students.
Towards Enhancing Keyframe Extraction Strategy for Summarizing Surveillance Video: An Implementation Study

The large amounts of surveillance video data are recorded, containing many redundant video frames, which makes video browsing and retrieval difficult, thus increasing bandwidth utilization, storage capacity, and time consumed. To ensure the reduction in bandwidth utilization and storage capacity to the barest minimum, keyframe extraction strategies have been developed. These strategies are implemented to extract unique keyframes whilst removing redundancies. Despite the achieved improvement in keyframe extraction processes, there still exist a significant number of redundant frames in summarized videos. With a view to addressing this issue, the current paper proposes an enhanced keyframe extraction strategy using k-means clustering and a statistical approach. Surveillance footage, movie clips, advertisements, and sports videos from a benchmark database as well as Compeng IP surveillance videos were used to evaluate the performance of the proposed method. In terms of compression ratio, the results showed that the proposed scheme outperformed existing schemes by 2.82%. This implies that the proposed scheme further removed redundant frames whiles retaining video quality. In terms of video playtime, there was an average reduction of 27.32%, thus making video content retrieval less cumbersome when compared with existing schemes. Implementation was done using MATLAB R2020b.
THE USE OF COMPUTER TECHNOLOGY AS A FACILITATING TOOL FOR TEACHING PEOPLE WITH DISABILITIES

The adoption and use of computer technology in the teaching and learning of people/students with disabilities, is now considered an imperative and inescapable need in the delivery of all knowledge subjects. Based on new studies and empirical research, the usefulness of using the computer and the opportunities and advantages it provides in the education of students of this special group is highlighted. The elaboration of this work, among others, was based on the critical-interpretative method of reviewing the modern data from research that favors the positive contribution of the computer as a facilitating tool and means of development of these students. In any case, the multi-level and diverse contribution of the specific digital medium to the substantial and effective improvement and promotion of both academic performance and practical skills and thinking of the students of this group is recognized.
Dynamic Programming BN Structure Learning Algorithm Integrating Double Constraints under Small Sample Condition

The Bayesian Network (BN) structure learning algorithm based on dynamic programming can obtain global optimal solutions. However, when the sample cannot fully contain the information of the real structure, especially when the sample size is small, the obtained structure is inaccurate. Therefore, this paper studies the planning mode and connotation of dynamic programming, restricts its process with edge and path constraints, and proposes a dynamic programming BN structure learning algorithm with double constraints under small sample conditions. The algorithm uses double constraints to limit the planning process of dynamic programming and reduces the planning space. Then, it uses double constraints to limit the selection of the optimal parent node to ensure that the optimal structure conforms to prior knowledge. Finally, the integrating prior-knowledge method and the non-integrating prior-knowledge method are simulated and compared. The simulation results verify the effectiveness of the method proposed and prove that the integrating prior knowledge can significantly improve the efficiency and accuracy of BN structure learning.
Promoting The Forgotten Local tales of Terengganu “Tujuh Puteri” in digital Interactive Comic Book for Teenager.

Folktales is considered as a representation of our local cultural that plays an important role in delivering our image and identity in society. Preserving our local folktales is crucial to avoid from being forgotten or fade away, especially in this modern era where local folktales may face difficulties in adapting in the society. In this current society, Malaysian particularly lack of awareness regarding traditional Malaysian folktales. The development of modern technologies and sufficient gadgets that are primarily used by teenagers had affected their interest towards the local heritage of folktales and it has become an issue that Malay folktales are being swallowed by modernization, thus becoming less popular among teenagers. The main purpose of this research is to seek the effectiveness of forming an interactive comic book with adaptation of AR application into one of Terengganu local folktales ‘Tujuh Puteri’ as a preference for this research. The aim of this paper is to develop interest among teenagers towards the Malay local folktales.
A Study on Children Customary Clothes in Malay Head Shaving - Cukur Jambul Ceremony for The Malay Royal Tradition

This Study aims to discover and document the clothing customarily worn by children during the Malay head shaving ceremony (Cukur Jambul), a tradition observed by the Malay Royal family. The head shaving ceremony is a unique Malay tradition and custom, relating to the birth of a new baby into the royal family and the Tradisi Agung custom. This study emphasizes Mayer Schapiro’s theory of style in the context of artefacts or material cultural objects. It applies a qualitative method due to its flexibility in recording the views of informants in relation to observations. Specifically, this research considers a collection of photographs taken during head shaving ceremonies. The observation on Malay royal family tradition continues to uphold the uses of Songket (“The queen of textiles”) in most of their ceremonies until today. Overall, this study will provide an invaluable source of information about Malay custom and culture. It will be of benefit to the Malay royal family, researchers, academics, scholars, students, cultural archivists, and museum curators interested in studying and preserving this subject and tradition.
Developing the Design Features and Layout with Combination of Emoji on Awareness Poster

Awareness’s posters with emoji combination are widely used in conveying the Public Service Announcement (PSA) messages. This type of alternative is frequently used to convey messages to society. The messages in the posters could be spread widely no matter in printed form or digital form. Consequently, various of poster’s layout were produced out there according to designer’s taste and yet not adapting the suit specification such as elements and principles in graphic. Therefore, this research will identify the suitable features design in producing the friendly poster’s layout, readable poster’s layout and layout that easily attract reader’s attention. This research uses literature-based methodology and the data are collected from various literatures as well as through experts.
A Two‐Branch Pedestrian Detection Method for Small and Blurred Target

Abstract Pedestrian detection task is generally composed of location and classification. In this work, we consider the problem of pedestrian detection under the condition of blurred pedestrian targets and small pedestrian scales. Most methods are only suitable for the detection task under ideal conditions or simply consider one of the above problems. For the sake of achieving better results, we proposed a new method that improved from both location and classification aspects. First, we propose a video‐based pedestrian detection method that generates pedestrian proposals from the static feature extraction branch and motion information extraction branch. Secondly, a two‐scale classification method is used in the structure to solve the various scale instance problem. Finally, experiments on public datasets demonstrate that this work delivers better performance than the HOG+SVM, SAF R‐CNN, and YOLO+GMM methods. © 2022 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.
A Hybrid Model for Review Analysis Using Deep Learning

Consumer reviews are shown to be critical for a variety of business applications. When product opinions/reviews are considered, purchase decisions are better. Reviewing client feedback, on the other hand, aids in enhancing sales and, as a result, benefits the company. A platform is provided by the e-commerce giants such as Flipkart, Amazon, where the users can share their experiences and provide real insights about the performance of a product to future buyers. A greater understanding of the technologies employed in sentiment analysis is required to computationally assess the sentiments in the text which is highly unstructured data. For sentiment analysis, machine learning and deep learning algorithms are commonly utilised. Lexicon-based techniques are also used for the same purpose depending on the text and the desired outcomes. A hybrid approach is presented in this work, providing a platform to rate and publish reviews about the product with utmost transparency. For sentiment classification of reviews, a deep learning model convolutional neural network (CNN) in conjunction with long short-term memory (LSTM) is discussed. In the proposed work, over 4,00,000 reviews have been classified into positive and negative sentiments.
CHARACTER IDENTIFICATION AND MOUSE CONTROL USING HAND GESTURES: A SURVEY

Given the rapid advancement of computer technology, this paper suggests a mouse control system that utilises hand motions recorded via a webcam utilising a colour detection algorithm.This system will let the user to pick, click, scroll, and drag objects using a variety of hand gestures.The suggested method tracks the user's hand by using a low-resolution camera as a sensor.Python and OpenCV will be used to implement the system.One of the easiest and most natural forms of communication is the hand gesture.
Natural Language Processing: State-of-the-Art

Natural Language Processing refers to both interaction between computer and human and integration of artificial intelligence into field of linguistics.It enables the human beings to interact with machine using natural languages.Natural Language Processing is a key skill in most of the systems that deal with human-computer interaction.As more and more artificial intelligence is getting embedded into the machinery, it has become a point of attraction to make the machine directly understand the instructions given by human in a simple, more precisely saying natural languages.Natural Language Processing, when integrated with computational modelling, results into the term Computational Linguistics.Computational Linguistics needs the involvement of both the language experts as well as the computational experts (computer scientists).This paper aims to provide the better awareness about the fact how these two fields, Computational Linguistics and Natural language Processing are interrelated to each other.In this research paper we have tried to basically deliberate the past success in the research and development in the field of Natural Language Processing & current status of Natural Language Processing.The other major focus is on new roads towards the research and challenges in the same field.
Immersive services in libraries: perspectives and views of library professionals

The paper aims to determine whether AR and VR library services are useful and, if so, what are the associated opportunities and challenges. Based on the literature review, 40 libraries that have implemented augmented virtual reality services were identified. An online survey of library professionals belonging to the 40 identified libraries was conducted. Sixty-nine percent of libraries use HTC Vive as their preferred VR headset device. Further, 54 percent of the respondents stated the circulation of VR devices as a new service. Findings show that libraries are offering new services such as 3D Model Gallery, 3D Scanning, 3D Printing, and Data Visualization. SWOT analysis of immersive services in libraries identified VR content archiving, copyrighting of 3D content, and constructing metadata schemas for virtual content as the challenging areas that need further research. The study will be useful to library professionals who plan to introduce or experiment with augmented virtual reality services.
Rescaling decoder for two-dimensional topological quantum color codes on 4.8.8 lattices

Fault-tolerant quantum computation relies on scaling up quantum error correcting codes in order to suppress the error rate on the encoded quantum states. Topological codes, such as the surface code or color codes, are leading candidates for practical scalable quantum error correction and require efficient and scalable decoders. In this work, we propose and study the efficiency of a decoder for two-dimensional topological color codes on the 4.8.8 lattice (also known as the square-octagon code), by building on the work of Sarvepalli and Raussendorf [Phys. Rev. A 85, 022317 (2012)], for color codes on hexagonal lattices. The decoder is based on a rescaling approach, in which syndrome information on a part of the qubit lattice is processed locally, and then the lattice is rescaled iteratively to smaller sizes. We find a threshold of 6.0% for code capacity noise.
Non-Admissibility in Abstract Argumentation

In this paper, we give an overview of several recent proposals for non-admissible non-naive semantics for abstract argumentation frameworks. We highlight the similarities and differences between weak admissibility-based approaches and undecidedness-blocking approaches using examples and principles as well as a study of their computational complexity. We introduce a kind of strengthened undecidedness-blocking semantics combining some of the distinctive behaviours of weak admissibility-based semantics with the lower complexity of undecidedness-blocking approaches. We call it loop semantics, because in our new semantics, an argument can only be undecided if it is part of a loop of undecided arguments. Our paper shows how a principle-based approach and a complexity-based approach can be used in tandem to further develop the foundations of formal argumentation.
Resilience for Academic Excellence through Distance Education Life Learning Strategies in Victims of the Anglophone Crisis in Cameroon

During the past few years, there has been a noticeable and heightened concern on the plight of students living in the restive North-west and South-west regions of Cameroon that have been hit hard by the ongoing Anglophone crisis. The education crisis which was already a feature in many regions in the world has been exacerbated by Anglophone Crisis. The English-speaking Regions of Cameroon consisting of the Northwest and Southwest formal British Colonies have been restive since 2016. This is caused by a sociopolitical Crisis which has deteriorated overtime and led to violent clashes between armed forces and separate fighters, loss of life and property, internal displacements of inhabitants, human right abuse, climate of fear and uncertainty. Reports holds that, since the beginning of the crisis over 790, 000 people have been forcibly displaced and over 4,000 tortured and killed The crisis has specifically affected the Distance Education Program of the University of Buea whose student population consist of about ¾ of students living in these restive regions. These students have reported challenges in carrying out their academic work especially during periods of lockdown. Despite the complaints, the Program continues to run with classes going on and examination conducted even in the heart of the crisis. Notwithstanding the exposure to significant threats or severe adversity they face due to the socio-political crisis, the students remain resilient. Research has identified self-efficiency, work ethics, and internal locus of control as factors that can build resilience for academic excellence in at risk students facing such challenges. Using the convenient sampling procedure, the study adopted the survey questionnaire method aimed at highlighting supportive social actions that can contribute in building resilience for academic excellence in at-risk students studying in the Distance education program in the University of Buea. These activities will be geared towards using problem solving models of Social connections, Supportive relationships and Social agency to produce desired academic outcomes for at risk students from the restive anglophone regions enrolled in the Distance education program.
Learning, Understanding and Interaction in Videos

Advances in mobile phone camera technologies and internet connectivity have made videos one of the most intuitive ways to communicate and share experiences. Millions of cameras deployed in our homes, offices and public spaces record videos for purposes ranging across safety, assistance, entertainment and many others. This talk describes some of our recent progress in learning, understanding and interaction with such digital media. It will introduce methods in unsupervised and self-supervised representation learning that allow video solutions to be efficiently deployed with minimal data curation. It will discuss how physical priors or human knowledge are leveraged to understand insights in videos ranging from three-dimensional scene properties to language-based descriptions. It will also illustrate how these insights allow us to augment or interact with digital media with unprecedented photorealism and ease.