Reviewerly/exHarmony huggingface dataset:
Implementation of address recording management using the K-Means clustering classification algorithm in Kebayoran District, DKI Jakarta

The area is the center of problems in the administrative record management of Kebayoran District, because of its dense condition and it is difficult to determine land measurements due to the density of residential areas. The problem in Indonesia to this day is that the administrative boundaries of the kelurahan already exist, but the administrative boundaries for the Rukun Warga / Rukun Tetangga (RW / RT) do not yet exist. The local government of DKI already has a large scale map (1: 1,000) to map RW administrative boundaries. Large-scale mapping (Batas RW) is useful for accurate information on incidence of dengue fever or other diseases, thereby eliminating information bias due to the use of village boundary maps. Another benefit is the accuracy of address management for customers, for example PDAM customers, to facilitate verification of customer data with large-scale maps, especially those that only include RT / RW addresses, without mentioning street names and household numbers. The method used is data mining K-Means Clustering. By using this method, the data that has been obtained can be grouped into several clusters, where the application of the KMeans Clustering process uses Excel calculations. The processed data is divided into 3 clusters, namely: high cluster (C1), medium cluster (C2) and low cluster (C3). The iteration process of this research occurs 2 times so that an assessment is obtained in classifying the household / neighborhood unit based on the Kelurahan. The results obtained are that there is 1 neighborhood unit with the highest cluster (C1), there are 4 neighborhood units with 4 medium clusters (C2), and 5 neighborhood units with the lowest cluster (C3). This data can be input to the sub-district to disseminate information about dengue fever, health education, and for the accuracy of PDAM customer address management and others.
Effect of Artificial Intelligence on Customer Relationship Management of Amazon in Bangalore

Electronic commerce or ecommerce is a term for any type of business, or profitable transaction, that includes the transmission of information transversely the Internet. It covers a range of unlike types of businesses, from consumer-based retail sites, through sale or music sites, to business connections trading goods and services among companies. It is currently one of the most significant aspects of the Internet to develop.Ecommerce allows customers to electronically exchange goods and services with no barricades of time or distance. Electronic commerce has prolonged rapidly over the past five years and is forecast to continue at this rate, or even hasten. In the near future the limitations between conventional and electronic commerce will become gradually blurred as more and more businesses moveThe analysis and advice presented in this is based on the data collected from the study conducted in Bangalore with a sample size of 100 which includes 63 male respondents and 37 female respondents within the age group of 18 to 40 years and above. All the data was represented in the form of tables and charts (pie charts). Correlation analysis has been used to examine the hypothesis and the findings of the survey by using MS-Excel.During the study it was found that Artificial Intelligence has a major role to play in managing the customer relationship of e-commerce giant like Amazon and people are now getting familiar about the benefits that Artificial Intelligence brings and how it totally enhances their user experience.
What Drives Bitcoin’s Price Crash Risk?

We examine the association of the Bitcoin price crash risk with economic uncertainty and behavioral factors. We show that economic uncertainty displays a negative and significant association with Bitcoin price crash risk, indicating that when economic uncertainty is high, the crash risk of Bitcoin is low. We also find that behavioral factors have a weak association with Bitcoin crash risk. Our results suggest that investors can hedge economic uncertainty by investing in Bitcoin.
BOOK CULTURE AND ART IN YAKUTIA

The work reveals the specific features of book art, which integrates the achievements of artistic means and forms, as well as scientific research. The authors focus on the regional Arctic locus of book art. The article traces the origin of Yakut book illustrations from the first attempts of amateur artists on the pages of the periodical press in the 1920s to the activities of various institutions: the scientific research society "Sakha kehskileh" (1925–1930), the cultural and educational societies "Manchaary" and "Sakha omuk" (1920–1930) and The Union of Soviet Artists of Yakutia (since 1940s), that pioneered the accumulation of cultural practices and development of art trends in the region. The characteristics of the first Yakut artists-illustrators are presented: P. P. Romanov, who created illustrations to the image of the heroic Olonkho epos "Byudyuryubet Myuldzu Bege" and G. M. Turalysov, who illustrated the collection of poems and songs by Ilya Chagylgan "The Rise", thus initiating the development of professional graphic art in Yakutia. The creation of the art school in Yakutsk in 1945, the emergence of publishing houses became a new page in the development of the book graphics in the works of the first graduates of the school — E. Shaposhnikov, E. Shestakov, M. Lukin, O. Kovalevsky, V. Petrov and others. Special attention is paid to creativity of E. S. Sivtsev, the founder of Yakut prints. The First (1958) and The Second (1963) All-Union Exhibitions of prints opened to the public the names of Yakut illustrators. Later A. P. Munkhalov exhibited his series of engravings "My North" at the International Exhibition "Intergraphy — 67" in Berlin, and his engraving "Listening to the World" was included in the German school textbooks. The article also reveals the modern stage in the development of book art, from the activities of "Bichik" publishing house to graduate projects of The Arctic Institute of Culture and Arts and The Yakutsk School of Art.
Some Fundamental Principles of Living Systems’ Functioning and Their Impact on Human Psychological Systems

This theoretical article provides a brief description of the model of living systems’ functioning by defining them as self-reproducing information or as self-reproduction of resource flows patterns. It reviews the living systems growth limitation between their development cycles by the Fibonacci sequence. Besides, there are presented systems resource base criteria, necessary for accumulating the resources and their investment. The article also considers the conditions for the formation of various systems strategies. Then we reviewed the principles of elemental analysis of information by a person as a living system according to the considered model. The study also shows the possibility of forming priorities in analyzing information for 16 combinations as maximum. At that, it remains crucial to divide a human’s information analysis between the two hemispheres of the brain. The described combinations of priorities in a person’s information analysis are compared with the existing differential personality models, such as the big five personality traits, the Myers–Briggs type indicator, temperaments model and Honey and Mumford Learning styles.
Nearly optimal quantum control: an analytical approach

We propose nearly optimal control strategies for changing the states of a quantum system. We argue that quantum control optimization can be studied analytically within some protocol families that depend on a small set of parameters for optimization. This optimization strategy can be preferred in practice because it is physically transparent and does not lead to combinatorial complexity in multistate problems. As a demonstration, we design optimized control protocols that achieve switching between orthogonal states of a naturally biased quantum two-level system.
Формування іміджу викладача в соціальних середовищах Інтернету

The topical question nowadays is a positive image development of a modern higher education teacher. Today it is important to develop a personal brand, especially in the pedagogical sphere. In particular, to develop the information image of higher education teachers as a component of the teacher’s brand. The article analyzes the previous research on the teacher's image development and found out that insufficient attention is paid to teacher’s informational image development in social networks on the Internet. The article studies social media as social networks that are most often used to develop teacher’s informational images. It is presented the context diagram of the teacher’s information image development and development stages of higher education teacher’s informational images in social networks on the Internet.
OCR for historical Kannada documents using clustering methods

Motivation:In India, the Language Kannada is an ancient and official language in Karnataka State.The study of ancient Kannada scripts from stone carvings, leaf, metal, cloth, paper and other sources enhances our knowledge on the traditions and culture practiced in Karnataka.Due to Poor Quality, variability and the contrast, the Kannada ancient scripts become very challenging to extract the information or to recognize the characters.Objectives: To design a suitable Optical Character Recognition (OCR) technique to read ancient Kannada scripts.Method: Clustering by fast search and find of density peaks is a state-of-the-art density-based clustering algorithm that can effectively find clusters with arbitrary shapes.However, it requires to calculate the distances between all the points in a data set to determine the density and separation of each point.Consequently, its computational cost is extremely high in the case of large-scale data sets.In this work the given document is preprocessed.The features alike SIFT and SURF are extracted and clustered using K-Means clustering.The similarity is computed using different measures.Findings: The classification accuracy was studied under different clustering methods like Kmeans, Agglomerative, Density based clustering with distance based measures like Euclidean and Manhattan.To evaluate the performance of the proposed method, we created our own database of Ashok, Kadamba, Hoysala and Mysuru scripts and experiment was conducted in a database of 4 classes under 70, 50 and 30 different training models from each class.Novelty: We propose a K-means clustering using SIFT and SURF for Kannada ancient manuscript.Experiment was conducted in our own database to validate the performance of the presented system
Smart collections

This paper reports on a joint proof of concept project undertaken by researchers from the Flinders University Artificial Intelligence Laboratory in partnership with information managers from the Education Network Australia (edna) team at Education Services Australia to address the question of whether artificial intelligence techniques could be employed to help with creation and consistency of learning resource metadata and improve the efficiency of digital collection workflows? The results show some success with automated subject categorisation on a small sample, and the researchers conclude that automated classification based on artificial intelligence is useful as a means of supplementing and assisting human classification, but is not at this stage a replacement for human classification of educational resources.
EVALUASI KUALITAS ARGUMEN PADA ARTIKEL JURNAL

Argumentasi sangat penting dalam artikel ilmiah. Oleh karena itu, penelitian ini bertujuan mengungkap kualitas argumentasi dalam artikel ilmiah pada jurnal dengan scope pendidikan bahasa Indonesia. Kualitas jurnal akan dievaluasi berdasarkan perspektif Toulmin. Evaluasi dipaparkan dalam pembagian kualitas argumentasi, struktur varian yang tampak dalam paragraf argumentasi, dan peringkat kualitas argumentasi pada jurnal terindeks sinta 2 sampai 6. Untuk mengungkap kualitas argumen tersebut, peneliti menggunakan pendekatan mixed method. Hasil temuan dari penelitian ini, pertama: secara umum kualitas argumen dalam artikel yang berfokus pada pendidikan bahasa Indonesia masih rendah. Argumen secara dominan disajikan dengan struktur P-D. Kedua, terdapat empat varian struktur argumen yang ditemukan, yaitu: P-D, P-D-J, P-D-T, dan P-D-J-T. Ketiga, kualitas argumen berdasarkan nilai rerata konversi menunjukkan jurnal terakreditasi sinta 2 memiliki kualitas masuk pada klasifikasi sedang. Sementara artikel pada jurnal terakreditasi 3, 4, 5, 6 dan tidak terakreditasi memiliki kualitas argumen tergolong pada kategori rendah.Kata kunci: kualitas argumen, wacana, perspektif toulminEVALUATING THE QUALITY ARGUMENT IN JOURNAL ARTICLESAbstrakArguments are very important in scientific articles. This study aims to reveal the quality of arguments in scientific articles in journals with the scope of Indonesian language education. The quality of the journal will be evaluated based on the Toulmin’s perspective. Evaluation is described in the division of argumentation quality, variant structure that appears in the argumentation paragraphs, and argumentation quality ratings in indexed journals 2 to 6. To reveal the quality of the arguments, the researcher uses a mixed method approach. The findings of this study are as follows. First: in general, the quality of the arguments in articles that focus on Indonesian language education is still low. The argument is predominantly presented with a P-D structure. Second, there are four variants of the argument structure found, namely: P-D, P-D-J, P-D-T, and P-D-J-T. Third, the quality of the argument based on the average conversion value shows that the Sinta 2 accredited journals have medium classification. Meanwhile, articles in accredited journals 3, 4, 5, 6 and un-accredited have the quality of their arguments in the low category.Keywords: quality of arguments, discourse, Toulmin's perspective
Microaggressions, Questionable Science, and Free Speech

The topic of microaggressions is hot currently. Diversity administrators regularly propagate lists of alleged microaggressions and express confidence that listed items reflect what some psychologists claim they do: racism that is, at the very least, unconscious in the mind of the speaker. Legal academics are increasingly leveraging microaggression research in theorizing law and proposing legal change. But how scientifically legitimate are claims by some psychologists about what acts constitute microaggressions? The authors—one a law professor, the other a psychologist—argue that the answer is “not much.” In this article, the authors dissect the studies, and critique the claims, of microaggression researchers. They then explore the ideological glue that seems to hold the current microaggression construct together, and that best explains its propagative success. They close by warning of the socially caustic and legally pernicious effects the current microaggression construct can cause if academics, administrators, and the broader culture continue to subscribe to it without healthy skepticism.
Library: Using the SharePoint Mobile App: Home

This guide walks VDOT employees through the process of downloading the SharePoint Mobile App and accessing VDOT's new SharePoint Online site from any connected device.
Evaluasi Sistem Informasi Skripsi dan Tugas Akhir STMIK Primakara (PRISKA) Menggunakan Metode Usability Testing

Sistem Informasi Primakara Skripsi dan Tugas Akhir (PRISKA) is an information system that created to manage the final project of students in STMIK Primakara. Within the information system, students can manage the process of final project from the beginning until the end. This research is conduct to evaluate PRISKA as information system from the user experience perspectives. To evaluate the information system, researcher will use Retrospective Think Aloud (RTA) and User Experience Questionnaire (UEQ) as the usability testing methods.This research respondent are consist of third year students in STMIK Primakara. The results of this research shows PRISKA that used by students need to be upgraded and develop because student doesn’t give good impressions regarding to the user interface and the user experience
Temporal Blockchain Approach based Secure Ehealth Framework

The advent of the internet and its impact on healthcare domain made it possible to store, access and update medical records anywhere and anytime.Medical discrepancies associated with Electronic Health Records (EHR) and concerns related to privacy and security issues need to be addressed.Perhaps the biggest issue of all was lack of standardization and indeed it is not the only challenge in EHR.Decentralized online ledgers with blockchain based platforms proposed and in use to address the interoperability and privacy issues.In this paper shows that the temporal shadow concepts and context-based properties have an impact on performance of the proposed Secure eHealth Framework (SeFra) to manage the Personalised Micro Ledger (PML) securely.Also it contributes to capture medical data in text format with temporal properties and share the data among all other peers as per the policies specified in the context-based smart contract.Significantly, the framework has the potential to address the issues in siloed data and provide tamper-proof, secure transactions in healthcare domain.
Why PV Modules should preferably not be oriented to the South and why we need new measurements of spectral radiance

&amp;lt;p&amp;gt;PV modules tilted and oriented toward east and west directions gain gradually more importance as an alternative to the presently-preferred south (north in the Southern Hemisphere) orientation and it is shown to become economically superior even under the reimbursement of feed-in tari&amp;amp;#64256; (FIT). This is a consequence of the increasing spread between the decreasing costs of self-consumed solar power and the costs for power from the grid. One-minute values of irradiance were measured by silicon sensors at di&amp;amp;#64256;erent orientations and tilt angles in Hannover (Germany) over three years. We show that south-oriented collectors give the highest electrical power during the day, whereas combinations of east and west orientations (E-W) result in the highest self-consumption rate (SC), and combinations of southeast and southwest (SE-SW) orientations result in the highest degree of autarky (AD), although they reduce the yearly PV Power by 5&amp;amp;#8211;6%. Moreover, the economic analysis of PV systems without FIT shows that the SE-SW and E-W combinations have the lowest electricity cost and they are more bene&amp;amp;#64257;cial in terms of internal rate of return(IRR),compared to the S orientation at the same tilt. For PV systems with FIT, the S orientation presently provides the highest transfer of money from the supplier. However, as a consequence of the continuing decline of FIT, the economic advantage of S orientation is decreasing. E-W and SE-SW orientations are more bene&amp;amp;#64257;cial for the owner as soon as FIT decreases to 7 Ct/kWh. East and west orientations of PV modules do not only have bene&amp;amp;#64257;ts for the individual owner but avoid high costs for storing energy&amp;amp;#8212;regardless who would own the storage facilities&amp;amp;#8212;and by avoiding high noon peaks of solar energy production during sunny periods,which would become an increasing problem for the grid if more solarpower is installed. Furthermore, two types of commonly used PV software (PVSOL and PVsyst) were used to simulate the system performance. The comparison with measurements showed that both PV software underestimate SC and AD for all studied orientations, leading to the conclusion that improvements are necessary in modelling. Such improvements, however, also require a better knowledge of the angular dependence of the spectral radiance under all sky conditions. Since the spectral radiance is complex and usually changes within seconds, we developed a new instrument capable of measuring the spectra of sky radiance in more than 100 directions within one second. First measurements with this novel instrument are shown.&amp;lt;/p&amp;gt;
Developing a Regulatory and Control Frameworks for Enhancing the Security ofFacebook Users

Nowadays Social Media services are performing an active and plentiful role with high dynamism in our normal lifecycle. Facebook was the most popular and outstanding lead on online Social Media in very short span of time. However, some peoples whom are noticed as cybercriminals are doing unethical things by using Facebook like creating fake accounts name (profile) and fake pages in order to disseminate the fake news and the fabricated information that create conflict within a country and to remove sense of togetherness and stability locally and globally. The prime aim of this research is developing a regulatory and control framework for enhancing the security of Facebook users with better quality. This framework aims to restrict the scammers from creating fake profiles and to make the user verified and authenticated on the Facebook by using the unique attribute of the user. The study used MS form, Edraw Max, and JustinMind prototyper for data collection, framework design and prototype development respectively. This research attempts to apply an exploratory and constructive research design using mixed research approach to design and develop a framework that authenticate the legitimate users and restricts the illegitimate user from creating fake profiles from Facebook. The study uses Digital Residential UNIQUE ID issued by the Government of Ethiopia for AA city for cross checking the user provided data with DB of residents during registration times. The study concluded with developed better-quality Framework with improved and add-on parameters that produce better results for Facebook users in Ethiopia by eliminating the problems occurring by the fake identity through verifying and authenticating the user with the unique attribute called UNIQUE ID at the time of account creations. The developed framework validated with user acceptance test and the result confirms that it’s helps to trace the origin of certain hatred content posted and necessary to track owner of the any profile easily due to the framework enforces the users to use only real and verifiable information.