Reviewerly/exHarmony huggingface dataset:
Strategy Formulation of Tourism Businesses in the Era of Industrial Revolution 4.0

Tourism 4.0 currently a tourism development trend in some countries in the world. 4.0 is intended for millennial tourists with multiple growth targets. The digital era has caused many changes in social societies in various important sectors of the world. One of them has an impact on the tourism sector with the digital transformation being the cause of tourism 4.0. This study aims to determine the right tourism business strategy to increase the number of foreign tourists visiting Badung regency during the industrial revolution 4.0. This study will use a qualitative approach with descriptive analysis methods and data collection techniques with interview techniques which are then analyzed using SWOT analysis, internal and external weighting then determine TOWS Matrix and IE Matrix. The results showed that tourism in Badung Regency was in quadrant I of the TOWS matrix and quadrant V in the IE matrix. The right strategy is market penetration and product development. The Badung Regency Government must further optimize the use of technology in the 4.0 industrial revolution era for promotional activities such as the use of social media, online advertising, websites, and car applications, improve digital branding and work together with influencers.
CP-ABE for Circuits (and more) in the Symmetric Key Setting.

The celebrated work of Gorbunov, Vaikuntanathan and Wee [GVW13] provided the first key policy attribute based encryption scheme (ABE) for circuits from the Learning With Errors (LWE) assumption. However, the arguably more natural ciphertext policy variant has remained elusive, and is a central primitive not yet known from LWE.
Analisis Informasi Akuntansi Penuh Dalam Penentuan Tarif Kamar Guna Mendukung Pencapaian Target Laba Pada Garuda Plaza Hotel Medan

This research was conducted to find out whether there is an accounting information system that is suitable for room rates are effective or not in supporting the achievement of profit targets as well as the method of selecting room selling prices at Garuda Plaza Hotel Medan. The form of research used in this research is descriptive research by obtaining qualitative, while data collection techniques are based on interviews, documentation, and literature. The data analysis technique used is descriptive data analysis by describing and interpreting data obtained from the field and interviews with the Accounting, Internal Control, and HRD sections. Data obtained from interviews and documents are collected, compiled, interpreted, and analyzed so as to provide complete information to solve problems that require. The results of this study indicate the facts about complete accounting information in the process of determining the selling price of room rates at Garuda Plaza Hotel Medan. In calculating the full accounting of Garuda Plaza Hotel using the cost-plus pricing method, the full costing approach. In the cost-plus pricing method, the full costing approach shows differences in the calculation. The difference lies in the estimated full costs, calculation of expected earnings, mark-up calculations, and selling price calculations. Hotels have a special method of determining rates.
ANALYSIS OF MULTIPLIER ENCODING BASED DATA HIDING SCHEME FOR COLOR IMAGE WITH SVD, IWT AND LBP

For content proprietors and specialist co-ops, security for advanced media content has become an undeniably critical subject. Since watermarking is perceived as a significant copyrighted innovation, numerous ways to deal with incorporating information into a sight and sound part (essentially pictures, sound and video) are found in the related writing. The Discrete Wavelet Transformation (DWT) is broadly utilized in late watermarking frameworks because of its expanding notoriety. The DWT coefficients are altered utilizing the information speaking to the watermark in a DWT based technique. We present in this article a half and half plan dependent on IWT and the disintegration of single worth (SVD). We apply the SVD to each band in the wake of decaying the image spread in four groups, and we enter a similar watermark information by altering the particular qualities. Modifying the watermarking device at all frequencies is good for a variety of attacks. Digital data might have frequently been replicated and assumed ownership by an unapproved individual. We do not know, in any case, who the real data owner is. Advanced watermarking is a crucial issue in solving problems of this nature.Transform Domain Methods are resilient to noise produced by both image processing and malicious attacks, but the power, capability and perceptibility of these methods often differ. For high embedding potential and strong imperceptibility, single-value decomposition (SVD) is presented. Therefore, a new approach The Integer Transformation Wavelet (IWT) and the Singular Value Decomposition (SVD) were implemented based on a Discrete Transformation Wavelet (DWT). Computer simulation and comparison were performed experiments with current methods of the proposed scheme suggest performance gains.Local binary patterns(LBPs) is one of the most common characteristics for face, face, gestural, scene or object recognition texture discriminatory tasks. A multiplier-based encryption of IWT-SVD and LBP was implemented in our method of proposed watermarking.
Modern Language Olympiad: Unleashing Potentials for 21st Century Skills

The challenge of becoming employable 21st century graduates to meet current industry demands was the basis of this innovation. With the aim to equip a group of students with soft skills on one hand, and another with industry-specific communicative abilities on the other, the Modern Language Olympiad (MLO) was established under Akademi Pengajian Bahasa, UiTM Shah Alam, as the first multi-language competition held internationally that is fully student-led. Five categories of competitions were designed with close engagement with the industry, which were strategic storytelling, idea pitching, versatile presenting, and radio drama across three languages (English, Bahasa Melayu, and Arabic) from 29 October to 2 November 2019. Preparations to conduct this international competition commenced a year before that. In total, 330 participants from 11 public universities, 6 private universities and 4 foreign universities and 10 UiTM branch campuses participated in the event, which was run by 40 student committee and 100 student volunteers, guided by 30 academic advisors. A total of 40 judges from the industry were involved in the competitions. The event, which amassed a total profit of RM58,416.45, managed to develop the student committee’s critical thinking, problem solving, time management, project management, and budgeting skills, while the participants gained immeasurable benefits in enhancing their communication skills through feedback from the industry and by observing others. This innovation is a step forward to improve students’ soft skills and communication skills using the two-pronged approach through running a student-led, student-driven, wide-scale international event.
COMMUNICATIVE STRATEGIES AS A FACTOR IN THE DEVELOPMENT OF THE DIGITAL EDUCATIONAL ECOSYSTEM

The design of modern educational processes requires a balance of digital freedom and the preservation of the education basic value - a person. We are talking about creating a digital educational ecosystem, where human conformity is the main principle of organizing educational processes. While the pedagogical community was debating, gradually working out and introducing various digital technologies into teaching practice, the global COVID 19 pandemic has transformed our familiar world. Working as a catalyst, it accelerated all processes, leaving education the only possible way - quick decision-making, action and reflection. The purpose of the article is to substantiate and prove the effectiveness of communication strategies as a factor in the development of a digital educational ecosystem. The authors substantiated a number of communication strategies, disclosed their content and technological ways of implementation in the framework of online education. Their effectiveness was tested as part of the advanced training courses for teachers of social institutions implementation during a pandemic. The study of the opinions of listeners and course organizers makes it possible to speak with confidence about the adaptation of students to digital reality without significant losses in the social significance of learning when introducing communicative strategies of pedagogical interaction. The strategies proposed by the authors are stable and technological; they can be used in the framework of online education for all levels of education.
Categorial analysis of A. Kurpatov's "Methodology of thought" in context of perspective AGI development

In this article we apply language of category theory in order to formalize core methodological principles that structure the methodology of thought elaborated by Russian modern psychiatrist and philosopher A. Kurpatov. According to the author such formalization could be useful both from the standpoint of unification of ways of thinking about brain functioning and reasoning in particular, and from the standpoint of search of uniform language of scientific thought in general.
Research on the Influencing Factors and Innovation Paths of the Promotion of Colleges and Universities Teachers' Professional Ability

The colleges and universities teachers are the core supply of higher education resources. The professional ability of colleges and universities teachers is not only an important measurement and evaluation of teachers' own professional value, but also a key element for the quality of colleges and universities talent training, and an important guarantee for the development of higher education in the new era of our country. In the context of the development of the new era, strengthening the professional ability of colleges and universities teachers has important theoretical value and practical significance. Facing the real needs of social development in the new era and the real dilemma of the replacement of students between generations, in the face of the educational technological revolution brought about by the development of modern science and technology, how colleges and universities teachers can overcome their own professional dilemmas, seek new development opportunities, and improve their professional abilities, become an inevitable choice for the professional development of colleges and universities teachers. Aiming at the current problems faced by colleges and universities teachers in the process of improving their professional ability, deeply analyzing the reasons for their existence, and actively seeking innovative ways to improve colleges and universities teachers' professional ability under the background of the Internet in the new era are important explorations in the current reform and development of higher education in my country.
Target Detection in UAV Automatic Landing Based on Artificial Bee Colony Algorithm with Bio-Inspired Strategy Approach

To meet the requirements of detecting runway and salient ground targets precisely and rapidly for Unmanned Aerial Vehicles (UAV) during automatic landing, a scenario that integrates our modified Artificial Bee Colony (ABC) algorithm with template matching is proposed in this paper. This study aims at enhancing the traversal search capability and avoid evolutionary stagnation with the Bio-inspired ABC (BABC) algorithm. Firstly, the initial solution optimization strategy of reverse learning is adopted in the initialization phase. Secondly, an improved search strategy with Levy flight characteristics is applied in the phase of updating the population and local searching. Additionally, chaotic searching strategy is introduced into ABC to reinforce the ability of system and get rid of local optimal solution, thus showing advantage of convergence property and robustness when compared with ABC. Series of experimental results demonstrate the feasibility and effectiveness of our presented approach over the standard method. The novel algorithm also meets the requirements of speed and precision in practical application.
Techniques for Preserving Privacy in Data Mining for Cloud Storage: A Survey

Data is increasing drastically day by day specifically due to the usage of social networking websites like Facebook, Twitter, etc. It is very difficult for data owners to store and manipulate such a huge size of data as it incurs more cost of maintaining resources. To overcome this issue, data owners utilize cloud resources to limit the expenses. But as a third party, the cloud can be curious which may lead to the disclosure of personal data. This led researchers to use some techniques to provide privacy in cloud storage used by data owners and this is referred to as privacy-preserving data mining (PPDM). PPDM preserves the privacy of data owners in the cloud, so the private data remains private even after the mining process. This paper focuses on some of the important PPDM techniques like data distortion, encryption, etc. It brings out an extensive survey of privacy-preserving data mining techniques, their benefits and drawbacks, and put forth the open challenges for further research.
Towards the Evaluation of Feature Embedding Models of the Fusional Languages

An important component of a NLP system with the neural network architecture is an encoder that represents word features as dense vector representations, i.e. feature embeddings. According to the concept of feature embeddings, features sharing common linguistic information should have similar vectors and thus feature similarities can be captured. In this paper we investigate which features should be used in estimating NLP models of the fusional languages – tokens or lemmata. Furthermore, we research the methodological question whether the results of the intrinsic evaluation of feature embeddings are informative for downstream applications, or feature embedding models should be evaluated extrinsically. The presented evaluation experiments are conducted on Polish – a fusional Slavic language with a relatively free word order. However, the evaluation results can be approximately generalised to other Slavic languages, because the studied problems are common to them.
A Study on Publication Recommender System with Content Modelling

For years, achievements and discoveries made by researcher are made aware through research papers published in appropriate journals or conferences. Many a time, established s researcher and mainly new user are caught up in the predicament of choosing an appropriate conference to get their work all the time. Every scienti?c conference and journal is inclined towards a particular ?eld of research and there is a extensive group of them for any particular ?eld. Choosing an appropriate venue is needed as it helps in reaching out to the right listener and also to further one’s chance of getting their paper published. In this work, we address the problem of recommending appropriate conferences to the authors to increase their chances of receipt. We present three di?erent approaches for the same involving the use of social network of the authors and the content of the paper in the settings of dimensionality reduction and topic modelling. In all these approaches, we apply Correspondence Analysis (CA) to obtain appropriate relationships between the entities in question, such as conferences and papers. Our models show hopeful results when compared with existing methods such as content-based ?ltering, collaborative ?ltering and hybrid ?ltering.
A kernel function for Signal Temporal Logic formulae.

We discuss how to define a kernel for Signal Temporal Logic (STL) formulae. Such a kernel allows us to embed the space of formulae into a Hilbert space, and opens up the use of kernel-based machine learning algorithms in the context of STL. We show an application of this idea to a regression problem in formula space for probabilistic models.
Azure Kubernetes Services: Container Security

In this chapter, you learn the business use case for Azure Kubernetes Services (AKS), understand the fundamentals of containers, and learn how to maintain a secure Kubernetes cluster. You need to understand the underlying container ecosystems and how Kubernetes supports the management of hundreds and thousands of containers.
Coronavirus contact tracing app is now live in Wisconsin

WI Exposure Notification, a new mobile app to assist in notifying contacts of people who’ve tested positive for COVID-19, is now live.
LibGuides: Library Guide for Students, Fall 2021: Books & eBooks

This guide is for students who need guidance on accessing library resources at Moorpark College during the reopening of campus.
고려 성균관의 성립과 운영

King Chungseon of Koryo reorganized Kukhak into Sungkyunkam and Sungkyunkwan during the two bureaucratic reforms. The name called Sungkyun reflected the political perspective of King Chungseon. The Kukhak of King Chungryeol was established with the aim of pursuing the reconstruction of national university. Kukhak was the name used by King Seongjong, who was trying to make bureaucrats who had the Confucian education. This goal is also included in the name of the Kukjakam. The name of Kukjakam was used because it was intended to create a Confucian state by educating the sons of the country through the Confucian education.King Chungseon needed a reorganization of the bureaucracy and recruitment of human resources to implement the reform politics. Sungkyunkam and Sungkyunkwan were the terms chosen from the will to cultivate people talent. Sungkyun of the Zhouli contains the idea of cultivating talented individuals with qualities that are not excessive or lacking. This was the reason King Chungseon adopted the name of Sungkyun. In addition, Koryo had a custom of calling Kukjakam as Sungkyun. So, the term Sungkyun was not unfamiliar.The organization of the national university has also changed as the educational ideology has changed from the ideology of the sons of the country to the ideology of Sungkyun. Sungkyunkwan was made by reducing the organization of Kukhak of the King Chungryeol. King Seongjong''s Kukhak and Kukjakam were established as Confucian colleges. However, King Munjong has expanded to include the Faculty of Confucian and the Faculty of Technology. King Chungryeol reorganized the Kukjakam to Kukhak to promote Confucianism, but it was a comprehensive university. The same was true of Sungkyunkam.However, Sungkyunkwan reorganized it from a comprehensive university to a Confucian college. It was reorganized into Kukjakam in King Kongmin, then became Sungkyunkwan, and was passed down to Choseon.The realistic goal of college education was to cultivate talents who can become bureaucrats through the civil service examination. So, the education system and the bureaucracy selection system had to be linked.King Yejong adopted the Song dynasty’s system and placed the Seven lectures for each major, separate from the Faculty of Confucian. The students of the Seven lectures benefited from the civil service examination if they received good grades in conduct, schoolwork, or exams. This system was established in Koryeo society.Sungkyunkwan also inherited these systems. It was because this system came out with the intention of strengthening the Confucian education, and it was suitable as the education method of Sungkyunkwan, the Confucian college.
A Comparative Analysis and Critical Review of Summarization Techniques

Unstructured data is outcome of various major business applications. Summarizing unstructured data is considered as a significant task in this era of smart digital evolution. Text summarization is basically done using the common approaches on the basis of certain predefined rules. Text summarization is a branch of text mining which helps in bringing together the main content of the text from the original text or document. This work was an attempt to understand the existing literature and make a critical review on the pros and cons of the methods used. A gap analysis is also included after inspecting various methods. A comparative study of intrinsic and extrinsic evaluation techniques is included. A methodology is proposed for text summarization using machine learning.
Klasifikasi Penanganan Keluhan Masyarakat Kota Probolinggo Menggunakan Algoritma Naive Bayes

Handling public complaints of Probolinggo city, known as “Laporo Rek”, requires more time to provide the report to the relevant office. Its caused by the administrators sometimes doesn't know where the Public complaints to addressed. Using the naive Bayes algorithm in Text Mining for Public Complaints of Probolinggo city can help the administrators to work more effectively and efficiently. The processing data of Public Complaints of Probolinggo city through several stages of text mining, which are token, filter, steaming, and analyzing. After completed the stage, the data will be classified using the naive Bayes algorithm. The naive Bayes algorithm calculation will view the result of each data class of Public Complaints of Probolinggo city, which is entered by phone, text message complaints. The research using this method has resulted in accuray 95%; it means each public complaints of Probolinggo city can be classified by each government agency in Probolinggo.
Safety Analysis of High-Dimensional Anonymized Data from Multiple Perspectives

Recently, large-scale data collection has driven data utilization in the medical, financial, advertising, and several other fields. This increasing use of data necessitates privacy risk considerations. K-anonymization and other anonymization methods have been used to minimize data privacy risks, but they are unsuitable for large and high-dimensional datasets required in machine learning and other data mining techniques. Although subsequent methods such as matrix decomposition anonymization can anonymize high-dimensional data while maintaining a high level of utility, they do not clarify anonymized data safety or adequately analyze privacy risks. Therefore, in this study, we performed a multi-perspective analysis on the privacy risks of datasets anonymized with some anonymization methods using various safety metrics. In addition, we propose a new technique for evaluating privacy risk for each attribute of anonymized data. Experimental results showed that our method effectively analyzed privacy risks of high-dimensional anonymized data. Furthermore, our evaluation of the resistance to data re-identification using existing techniques showed that anonymization methods have their suitable attack types, and it is important to assess data safety using various metrics before publishing.
CULTURAL CONTEXT AS THE BASIS OF ART AND PEDAGOGICAL DIALOGUE

In article a thesis was proposed that Art and pedagogical dialogue is the co-creation by “Ego” of many faces, the meeting of subjects with diverse style of thinking and cultural horizons of surrounding art and educational reality that extends considerably the borders of the individual cultural essence view and enables to comprehend them more deeply. Such kind of comprehension can be efficient if based on culturological approach that transmits cultural context. The implementation of this approach will enable to regard art education and development as the process of dialogical environment creation for the search and understanding the cultural senses via cognition of artistic image invariance.