Reviewerly/exHarmony huggingface dataset:
Evaluation of a Policy for the Distribution of Islamic Boarding School Grant Funds in Banten

Banten Province has eight regional autonomous areas consisting of four cities and four regencies, namely Cilegon City, Serang City, Tangerang City, South Tangerang City, Lebak Regency, Pandeglang Regency, Serang Regency, and Tangerang Regency. There are many Islamic boarding schools in Banten, which is often referred to as the city of santri in the land of champions. Banten Province distributes social assistance for Islamic boarding schools, through the regulation of the Governor of Banten number 10 of 2019 concerning guidelines for the provision of grants and social assistance sourced from the regional revenue and expenditure budget of the Banten Province. Based on the data collected in this study, there were 3,703 Islamic boarding schools in Banten Province in 2020. However, 918 Islamic boarding schools had administrative problems, including those that did not have legal status, an operational permit, or a deed of establishment from the Islamic Boarding School Foundation.&#x0D; Keywords: policy evaluation, distribution grant fund, Islamic boarding school
Cloud-oriented fault tolerance technique based on resource state

In this paper, we propose a new cloud reactive fault management technique called Hybrid Redundant Array of Independent resources for cloud computing (H_RAIC). The latter uses a new concept called Redundant Array of Independent resources for cloud computing (CRAIR), which is inspired by a powerful conventional technique called Redundant Arrays of Inexpensive Disks (RAID). H_RAIC takes into consideration the cloud resources state and aims to satisfy both cloud users and cloud provider requirements. Our solution was compared with the replication technique which represents a specific case of CRAIR, and with other CRAIR levels defined in this paper. The results show that our technique is a promising solution, that can be used to meet both user and provider requirements.
Introducing Fairy Comments: Gen Z’s Instrument of Online Kudos Trolling

Social media platforms have come a long way from being spaces for just informal interactions between friends and family. Today, these platforms provide numerous ways for people to express their ideas, views and opinions. In this article, we look at one such medium of expression that gained widespread popularity on Instagram during the 2020 pandemic. Popularly known as ‘fairy comments’, these are comments with a very typical syntactic structure used on social media platforms. The syntactic structure involves several emoticons in the middle of a sentence rather than the end. The aim is to define what a fairy comment is and understand the characteristics responsible for its popularity among the youth. We conducted in-depth interviews with 17 Gen Z participants who are active users of Instagram and fairy comment makers tractioning high engagement on their comments. Besides, a rhetorical criticism of high engagement comments on posts of an Indian political leader helped develop an anatomy of a fairy comment. Based on the findings, we propose that Gen Z’s inclination for using fairy comments in the online public sphere is contingent on two characteristics intrinsic to the nature of a fairy comment. First, the potential for creative expression that fairy comments provide, and second, the potential of fairy comments to tread on borders of offense but not harm as they steer clear of abuse or suggested violence in the online space. A collateral outcome of making fairy comments is a coalition between the youth on matters of public interest. These characteristics indicate that fairy comments constitute a medium of trolling under the ‘kudos trolling’ category used by the youth as an instrument of expression in the online space.
Inspection Text Classification of Power Equipment Based on TextCNN

A large number of text and reports about the power equipment are generated in power system, which consist of implicit information of operation condition and insulation status. With the development of convolutional neural network (CNN), the inspection text can be analyzed intelligently to improve the reliability of power system. In order to extract valuable information from inspection text for state evaluation of power equipment in local area, an information extraction model for inspection text based on TextCNN is proposed, improved and verified. First, the feature embedding of inspection text were performed by Word2Vec method. Secondly, the corpus were augmented with back translation method. Then, the TextCNN was adopted to classify the risk level of the power equipment or area involved in the inspection text. Finally, the classification results from the model were evaluated by classification accuracy, F1 score, confusion matrix and compared with the model based on BiLSTM and RCNN. The results demonstrated that the performance of TextCNN was the best among the three models on augmented dataset by back translation method with ACC and F1 scores of 0.9087 and 0.9099, respectively, which is the most suitable model among these three for recognition and classification of inspection text of power equipment.
Design and Implementation of Digital Exhibition Hall Based on Virtual Reality Technology

Based on virtual reality technology, this paper uses Unity3D engine to complete the design and construction of the digital exhibition hall, and publishes the digital exhibition hall on the Web side, which is convenient for users to log in and use through the network client. The emergence of digital exhibition hall has realized the close combination of traditional exhibition mode and emerging technology, moved the physical exhibition hall online, and broke through the requirements of time and space under the traditional exhibition mode, especially during the current epidemic, which greatly met the needs of curators, exhibitors and tourists. Digital exhibition hall, with brand-new exhibition mode, exhibition content and visiting form, makes the exhibition hall and exhibits more comprehensive and detailed. At the same time, panoramic navigation, venue roaming, virtual interaction and other functions can bring immersive and interactive exhibition experience to users, so as to achieve better communication effect.
Bitcoin Considered Harmful

The crypto currency Bitcoin is rooted in peer-to-peer computing. To critically assess the feasibility of this approach, first the concept of Bitcoin is outlined. Then, widely based on original citations of its defining document, a discussion of its properties leads to the result that this crypto currency is inherently insecure and not amenable to real-time operation, as well as that the generation of Bitcoins and the processing of payment transactions wastes resources to a not justifiable extent. Hence, Bitcoin is extremely inadequate as an electronc payment system, in particular for worldwide use on a daily basis.
Background Knowledge (B)

Differential privacy implicitly assumes that the attacker fully knows the dataset. This assumption can be seen as unrealistic, and it is natural to consider weaker adversaries. This chapter of the Brief gives an overview of the corresponding notions.
Social Media Sentiment Analysis Using the LSTM Model

Nowadays, extracting information from social media is providing knowledge about the market and current trends. This paper highlights a novel idea of allowing users to access all such information. A Website is created for visualization of obtained sentiments. It allows users to integrate different social media sites on a single platform for sentimental analysis by providing multiple dashboards under the user’s profile. Users have a choice to provide input from YouTube and/or Twitter to get sentiments. Users need to provide any URL/hashtag. Once input is provided, a trained LSTM model classifies the sentiments as positive, negative, and neutral. Dashboard creation process gets initiated and is deployed on cloud. Classified sentiments are analyzed and are reflected on the dashboard. The dashboard consists of positive, negative, and neutral sentiment’s count, line graph, and pie chart on a real-time basis. These results provide a better understanding of the market and people’s opinion.
Electric Current

In this chapter, we will introduce the electric current. We introduced charges at rest, or electrostatics, so far. In this chapter, we will consider the phenomena associated with electric charges in motion. We will introduce the electric current, or simply current, which describes the rate of charge flow through some region of space. Also, in this chapter, we will introduce resistance and Ohm’s law. As extra reading material, the reader can also consider other literature (Holliday et al. 2011).
Human eye state recognition method based on CNN

The recognition of the open and closed state of human eyes has been widely used in photography, anti-fatigue driving and so on. The deep convolution neural network (CNN) can effectively extract the feature points in the image and has good robustness to illumination and other disturbances. Based on this, this paper proposes a human eye state recognition algorithm based on quadratic feature extraction: firstly, 68 feature points of a human face are extracted by CNN; The human eye image is intercepted according to the human eye coordinates in the feature points; Thirdly, CNN is used to extract the features of the extracted human eye images and classify the eye states. Experiments show that the algorithm has high accuracy.
Sudan

Sudan is situated in north-eastern Africa bordered by the Red Sea, Egypt, Libya, Chad, Central Africa Republic, South Sudan, Ethiopia, and Eritrea. It has an area of 1,886 million square kilometres (km) and an estimated 2019 population of 42.81 million. South Sudan gained independence from Sudan on 9 July 2011, and as such the provisions only relate to Sudan (North), which is now formally known as the Republic of Sudan. The capital of Sudan is Khartoum. The working week in Sudan is from Saturday to Wednesday with business hours beginning at 0800 and ending at 1630, Thursday’s hours are from 0800 to 1300, whilst Friday is day off. The currency in Sudan is the Sudanese pound (SDG/Ls).
Using the TypeScript Compiler

In this chapter, I show you how to use the TypeScript compiler, which is responsible for transforming TypeScript code into JavaScript that can be executed by browsers or the Node.js runtime. I also describe the compiler configuration options that are most useful for TypeScript development, including those that are used with the web application frameworks covered in Part 3 of this book.
VISUAL SUPPORT OF THE TOPIC "ALGORITHMS FOR SORTING AND SEARCHING" COURSE OF BASIC PROGRAMMING

This paper is investigated the requirements and general theoretical approaches to the construction the computer mathematics system for educational purposes of studying algorithmization and programming, which have their own specificity. The basic form of practical activity of the student is laboratory work. Specific problems are the problems of program representation by both special and general mathematical models. It is advisable to carry out the initial studyof algorithmization in the course of informatics of high school using specialized educational-oriented software-methodological software. The article considers a subject-oriented approach to the construction of information systems to support the learning process while studying the course of algorithmization and programming. This approach is applied to the implementation of the software-methodological complex "Video Interpreter for searching and sorting algorithms”. The software-methodical complex is createdfor application in educational process during teaching of discipline "Fundamentals of algorithmization and programming" as means of debug-ging a deeperunderstanding of the processes occurring in the computer, improvement of logic of writing of programs.The article considers the purpose of the program-methodological complex “Video Interpreter for searching and sorting algorithms” and the integrated environment of the course “Fundamentals of Algorithms and Programming” are described.The use of the program-methodological complex "Video Interpreter" in the educational process allows to organize at a high level students' educational and research activities; to activate students' independence in mastering knowledge; reduce the time needed to set up the program;accelerate the develop-ment of students' logical thinking.
Kōpata

Report from the Art+Water art and science project 2019.Tohu (marks and signs2) are a form of literacy and are boundless within “te ao toi” (the art world), but there are particular tohu that encourage story telling or interpretations of the different forms, or even the personifications, of wai. This artwork is an attempt at a figurative description of what happens when water falls.
《春香傳》外文翻譯及其文化意義

About 40 editions of the Korean classical novel Chunhyangjeon are available in seventeen countries, including China, Taiwan, Japan, Malaysia, Vietnam, Mongolia, and India in the East and the USA, the UK, France, Germany, Spain, Italy, Russia, Poland, the Czech Republic, and Hungary in the West. The act of translation is not simply rendering one language into another, but also changing the language system in order to interpret how the text will be received in the target culture. As a result of this process, there must be some cultural collisions and occupations displayed in the translation. Likewise, translated Chunhyangjeon is to experience similar collisions and occupations framed by foreign cultures. Japan took the greatest advantage of occupying Korean culture through interpretations of the text. To assit with colonization of the Joseon period, they made use of Chunhyangjeon to try to understand the realities of the Joseon people. As an attempt to discover the national traits of Joseon, they had the Japanese people read the translated versions of Chunhyangjeon and also Simcheongjeon and Heungbujeon. They found Confucian ideas in the text which included the three principles: filial duty, fidelity, and friendship. Accordingly, they unveiled their political intentions to strongly oppress the colonized country. On the contrary, English translations showed different aspects and directions in their translations. H. N. Allen, an American diplomatic minister and doctor, worked with James S. Gale, a Canadian missionary. Particularly fascinated with Joseon culture, Gale labored to produce a complete translation of the Flower in Prison (Okjunghwa). However, whether intentionally or not, his work often seems tainted by Orientalism because he regarded Joseon's spiritual values as those of Christianity. One of the other notable works is a French translation by J. H. Rosny. This work modifies the love of Chunhyang and Lee Mongryong by adopting western-style plays and jokes. It even includes kissing scenes and low-neck dresses of the female character forbidden in Joseon culture. This version was used for a Russian translation by Chekhov and also for the Vietnamese translation Chunhyang-Nangja (1910).
Ulrich Christensen Receives 2019 Inge Lehmann Medal

Ulrich Christensen was awarded the 2019 Inge Lehmann Medal at the AGU Fall Meeting Honors Ceremony, held on 11 December 2019 in San Francisco, Calif. The medal is for “contributions to the understanding of the structure, composition, and dynamics of the Earth’s mantle and core.”
Puisi Selatan

Puisi selatan is a small selection of Sydney poet Ian Campbell’s Indonesian language poems taken from the author’s larger collection titled Selatan-Sur-South of Indonesian language poems - which appeared in PORTAL in 2008 - but now supplemented, for the first time, with English language versions which have been rendered by the poet himself from the ‘starting point’ of these original four Indonesian language poems.&#x0D; &#x0D; In all there are here now eight poems – four in Indonesian and four in English – with the common thread, for the poet, of being written ‘in the south’. For the poet also, they now interact, across languages, as a set of poems which consider the ways in which the actions of ‘memorialising’ are often intertwined with specific responses to the natural environment.&#x0D; &#x0D; The poems ‘Semenanjung Bilgola’ and ‘Bilgola headland’ are poems reflecting upon the efforts the poet’s parents made in the late 1960s-early 1970s to restore the natural environment on a headland of one of Sydney’s northern beaches which had been donated to the National Trust. The Indonesian language original poem was read by the poet himself and by Indonesian poets in cities in West Java in 2004 and also at the first Ubud Writers Festival in 2004 by Indonesian female poet, Toeti Heraty,&#x0D; &#x0D; The poems ‘Berziarah di Punta de Lobos, Chile’ and ‘Pilgrimage to Punta de Lobos’ are also memorialising poems and reflect upon the idea of ’pilgimage’ to a natural location near Pichilemu on the Chilean coast which is popular with surfers. In contrast, the poems ‘Simfoni angin’ and ‘Symphony of the winds’ describe the sights and sounds of a rural area near Purranque in the south of Chile, but here too the poet reflects upon the ways in which present evokes past.&#x0D; &#x0D; The final poems ‘Buenos Aires’ - rendered as the title in both languages - explore the ways in which the Argentinian café becomes a place in which memories of the city are revealed anew through the processes of inversion of light and shadow, of internal and external shapes and sounds, as if through a camera lens.&#x0D; &#x0D; Puisi selatan can be rendered in English as ‘poetry of the south’ as all poems derive their impetus from settings in Australia or in Latin America, specifically either Chile or Argentina. They were originally written in Indonesian as part of the poet’s interest in using Bahasa Indonesia as a language of creative writing.
Penerapan Sistem Informasi Manajemen Keluarga Berencana Pada Badan Kependudukan Keluarga Berencana Daerah

Regional Population Family Planning Board is an institution / agency that functions to control the population by providing information on contraceptives to the community to form family planning. Family Planning is a government program designed to balance the needs of life and population. The family planning program is carried out by the government so that the family as the smallest unit of national life accepts the Norms of a Happy and Prosperous Small Family which is oriented towards balanced growth. To support this goal, it is necessary to collect data on fertile age couples. The fertile age couples data collection activity that was previously carried out manually is an administrative process as well as routine activities carried out. Based on the reality on the ground, the fertile age couples data collection which is carried out manually is deemed ineffective and inefficient. Therefore, it is necessary to implement a Family Planning Management Information System, among others, for online fertile age couples data collection with the aim of creating transparency in fertile age couples data and facilitating data collection on participants of fertile, targeted, and quality family planning couples. The place of research is the Regional Population Family Planning Board Curugkembar Sukabumi District. From the results of the application of the Family Planning Management Information System, it can be concluded that: The application of a Web-based Family Planning Management Information System at the Regional Family Planning Population Board, facilitates and speeds up data processing. The system also allows setting the service schedule and control. In designing a web-based Management Information System program, it minimizes the possibility of errors in the data entry process for fertile age couples on family planning. With the implementation of this Management Information System, delays in making reports will be minimized every month.
A Study on Features of Different Tone Quality in a Kenong Set

This work discusses how to distinguish kenong frequencies in a signal and the time-localized frequency content for each tone at a given time using an audio-based approach to tuning retrieval where the fundamental and overtone pitch is shown at all frequencies at a given time. The method of temporal localization on the dominant frequency at its unique time for each tone allows for the detection of frequencies present in the signal. Two approaches used in retrieving the harmonic, pitch, and timbre of kenong are Picoscope and Melda analyzer. The audio recording was done using an At4050 microphone and Ur22 audio interface in mono at 24-bit resolution and 48 kHz sampling rate. PicoScope produces the spectrum while the Melda analyzer produces changes in the spectra with time. Kenong D, E, G, A, and C displayed their near overtones at (2:2.8:4.0), (2:3.0:3.9), (2:2.9:3.9), (2:2.6:3.9), and (2:2.6:3.9). Kenong D had a strong fundamental peak at 295Hz. Kenong G keeps the fundamental frequency constant until t=5s. The basic peak was maintained by Kenong C. The results reveal that the kenong was properly tuned, although the tuner solely tuned it based on hearing, passed down from generation to generation. The maker’s intuition permits him to create a specific ‘signature’ through sound unique to a given kenong set.
GROUP: Global RObUst and Privacy Preserved Model for Diabetes Prediction

The tremendous advancements in biomedical health sciences have resulted in a substantial amount of data generation, such as high-throughput genomics information and clinical data. These data are widely used by researchers to build predictive models to aid in the early diagnosis of a disease or disorder. Employing Artificial Intelligence algorithms to extract knowledge from enormous amounts of available health-related data is a technique of prime importance to make decisions. We have reviewed the work of many researchers and found the necessity of a model that could successfully tackle the problems of user data privacy and robustness. In this paper, we present a model that predicts whether a patient is likely or not to be diagnosed with the most common disorder, Diabetes in the near future on the basis of his/her health records. The suggested paradigm employs the notions of Federated learning to preserve privacy and uses Neural Network to make predictions based on the available training set. To demonstrate the efficacy of the model we conducted evaluation tests. Our model approaches an accuracy of 78% and 81.36% for Independent and Identical Distribution (IID) and non-Independent and Identical Distribution (non IID) datasets, respectively.
Single image 3D scene reconstruction based on ShapeNet models

The 3D scene reconstruction task is the basis for implementing mixed reality, but traditional single-image scene reconstruction algorithms are difficult to generate regularized models. It is believed that this situation is caused by a lack of prior knowledge, so we try to introduce the model collection ShapeNet <sup>1</sup> to solve this problem. Besides, our approach incorporates traditional model generation algorithms. The predicted artificial indoor objects as indicators will match models in ShapeNet. The refined models selected from ShapeNet will then replace the rough ones to produce the final 3D scene. These selected models from the model library will greatly improve the aesthetics of the reconstructed 3D scene. We test our method on the NYU-v2 <sup>2</sup> dataset and achieve pleasing results. Our project is publicly available at https://sjtu-cv- 2021.github.io/Single-Image-3D-Reconstruction-Based-On-ShapeNet.