Reviewerly/exHarmony huggingface dataset:
Crime Analysis and Prediction Using Data Mining and Machine Learning Techniques

Abstract: With the increase in crime rates across the world, it has become important for the Government and crime handling agencies to control the situation as it has put every person in distress. This paper is an attempt to systematically analyze and identify the crime trends across the years, the inter-state relations based on crime rates and categories through the data available, which will help in predicting the crime trends in future and will be instrumental for the Government to take informed actions and improve the country’s situation. This paper applies various data mining techniques in order to analyze the crime records in India. The results of analysis have been compared for various algorithms in the domain of Association Rule Mining, Clustering, Outlier Analysis, Regression and Classification. The paper also attempts to predict the future occurrences of crimes using classification and regression algorithms which use data mining techniques . Keywords: Crime Analysis, Data Mining, Association Rule Mining, Clustering, outlier Analysis, Classification, Regression
Possibilities for applying blockchain technology – a survey

The blockchain technology has a potential to be applied in a variety of areas of our daily life. From the original Bitcoin cryptocurrency to the current smart contracts, the blockchain has been applied to many domains. Its numerous applications result in much ongoing research in different practical and scientific areas. This new technology is being seen as a revolutionary solution in finance, decentralization, trust, identity, data ownership and data-driven decisions. This paper presents the novel solutions associated with some of the big data areas that can be empowered by the blockchain technology such as healthcare, decentralized personal data protection, digital property, Internet of Things, digital identity, financial services and infrastructure, e-commerce, educational records, knowledge sharing, insurance, food industry, accounting, auditing and e-voting. Blockchain technology could be used in electronic health records and in the establishment and maintenance of birth registers, deaths, marriages, registration of business activities, but also in the organization of elections. The features of this technology can actually be the redefinition of Internet 3.0 defined as a new type of decentralized infrastructure or network of networks.
COMMUNITY EMPOWERMENT AT NANGGERANG VILLAGE IN REDUCING POTENTIAL FLOOD THROUGH BIOPORE INFILTRATION HOLE (LRB) TRAINING AND DEVELOPMENT

Nanggerang Village is one of the seventh villages in the Tajurhalang District, Bogor Regency, Java Province, which often experiences flooding. The decrease in infiltration land due to changes in land use and poor waste management patterns in the area causes flooding to become increasingly threatening. Therefore, there needs to be community empowerment at Nanggerang Village in reducing potential floods through biopore infiltration hole training and development. The first step in this community empowerment activity is to instill an understanding of waste management that corresponds to its type; the following action is by conducting training in making biopore absorption holes as a preventive measure in preventing flooding. The activity was carried out on April 15, 2021, involving ten representatives from each RW in Nanggerang Village. The result of community service is the installation of 10 biopore. Based on the post-test results, the post-test shows that after the extension and training activities, the occurrence of increased public knowledge on waste management and practical theories about biopore infiltration holes, as well as the ability of the community in making biopore infiltration holes.
On the covering radii of a class of binary primitive cyclic codes

In 2019, Kavut and Tutdere proved that the covering radii of a class of primitive binary cyclic codes with minimum distance greater than or equal to $r+2$ is $r$, where $r$ is an odd integer, under some assumptions. We here show that the covering radii $R$ of a class of primitive binary cyclic codes with minimum distance strictly greater than $\ell$ satisfy $r\leq R \leq \ell$, where $\ell,r$ are some integers, with $\ell$ being odd, depending on the given code. This new class of cyclic codes covers that of Kavut and Tutdere.
Digital platforms and Big Data in art education

The Big Data and digital platforms in art education play an important role, especially in the field of optimizing educational intelligence, determining the results of research and learning activities, helping to optimize and improve management systems, contributing to the quality of education, image positions. This is what determined the relevance of the problems investigated in the article. The paper presents a description and analysis of the benefits of implementation and features of the use of digital platforms and Big Data in the sector of art education. The article aims to establish the components and content components of Big Data and the educational role of digital platforms used in art education, as well as identifying the attitudes of participants in the educational process on the active use of Big Data and digital platforms. The methods in the study are based on a comprehensive approach, used descriptive methods, qualitative and quantitative methods of analysis. To obtain the data the method of questioning was used, the study of literature, data collection, and analysis, formation of conclusions.
Time for nonilluvial Bt horizons?

The Bt horizon is the diagnostic horizon of the Luvisolic Order in Canada. According to the Canadian System of Soil Classification (CSSC), the Bt must be formed from clay illuviation through the processes of lessivage (i.e., physical transport of clay). In a study of a Luvisol catena in the central Saskatchewan, we demonstrate that Ae/Bm horizons overlying IIBt horizons are formed in a sandy mantle overlying till (i.e., a lithological discontinuity) and that the sandy mantle contributed negligible amounts of illuvial clay despite the presence of clay skins on ped surfaces in the IIBt horizon. We extended the results of this study to the regional scale by examining sand fractions in 63 pedons of Luvisol-dominated soil associations from soil surveys in the Northern Forest Reserves (between latitudes 53°N and 55°N). Of the 63 pedons, 13 had lithological discontinuities identified in their profile description and a further 27 had discontinuities identified through shifts in the sand fractions between horizons. For the profiles with discontinuities, inherited particle size differences are a more likely cause of coarse-over-fine textural contrasts than lessivage. A regional analysis of the distribution of Luvisol-dominated associations showed distinct zonations that account, in part, for the differences in the occurrence of lithological discontinuities. Based on these results, we suggest that the criteria for Bt horizons in the CSSC should be broadened to include nonilluvial coarse-over-fine texture-contrast horizons and that the criteria for the Luvisolic order also be broadened to include these nonilluvial Bt horizons.
EARLY THEORIES AND PRACTICALITIES ON GOLD OCCURRENCE IN AUSTRALIA

The discovery of gold in Australia forced many changes to theory on the occurrence and origin of gold deposits. Initial discoveries appeared to confirm existing ideas on the global distribution of gold-bearing terrains. Later discoveries and research would show that this confirmation was largely coincidental, but nevertheless helpful in early prospecting. Prior to the first Australian gold rush, theoretical predictions of payable gold were made by Sir Roderick Murchison and Rev. W. B. Clarke based on knowledge of accidental gold finds and geological analogy with known areas of significant gold occurrence, particularly the Ural region in Russia. These predictions were overwhelmed when Edward Hargraves, realised he might be able to spark a gold rush that would prove the existence of payable gold. Hargraves travelled to the Bathurst region of New South Wales where numerous gold finds had already been made and with local guides, prospected Lewis Ponds Creek and the Macquarie River. He demonstrated the methods of alluvial mining, to John Lister and William and James Tom enabling them to find sufficient alluvial gold to initiate a gold rush. The crowd of attracted diggers demonstrated the existence of a payable goldfield. The unstoppable first rush resulted in the pragmatic introduction of government regulation and administration to allow alluvial gold mining. Other discoveries of payable goldfields quickly followed. As the local scientific expert on gold, W. B. Clarke was commissioned to conduct two extensive surveys of the goldfields between 1851 and 1853. Clarke also drew on his geological knowledge to provide practical advice to the thousands of prospecting gold diggers. Gold-bearing quartz reefs and lodes were discovered, but it was predicted that these could not be mined economically. Theory also predicted that the reef gold would not continue to depth. Practical observations and mining experience from the numerous discoveries led to revision of the widely held dicta on gold occurrence. Alluvial gold was found in a range of settings, including the recent drainage and ancient and buried leads. A wider variety of rock types was recognised as favourable for gold. Different styles of reef gold were identified and found to be economically mineable to great depth. Evolving ideas on the origin of gold deposits were widely discussed, tested, and refined. Of the many players involved in the early discovery of gold in Australia, Clarke, Hargraves and Murchison probably had the greatest overall influence in terms of theoretical predication and practical outcomes that initiated the Australian gold-mining industry.
Impact of Emotional-Volitional Sphere of Future Specialists of Risky Professions on Professional Training Performance

Objective: The professional activities of specialists of risky professions are carried out in extreme conditions, characterized by a significant number of stressful factors, which, if the professional qualities of specialists are not sufficiently developed, leads to a decrease in the efficiency of performance of official duties, professional burnout, and psychosomatic disorders. Background: The success of the performance of service tasks is primarily influenced by the developmental level of the emotional-volitional sphere, in particular self-regulation, emotional-volitional stability, ensuring the ability to make autonomous decisions, form and determine tasks following the requirements of complex, changing situations, and therefore, achieve their goals. The article aims to analyze the emotional and volitional state of future specialists of risky professions during training. Method: The leading research method was observation. The emotional-volitional sphere is an integral part of the system of regulating activity as a professional. During the research, the main areas of the formation of the emotional-volitional sphere were identified. With the help of psychological analysis, the important properties of future specialists in the development of the emotional-volitional sphere have been determined. Results: The analysis results show that future specialists have an average and low level of stylistic possibilities for self-regulation (modeling, programming, autonomy). The reasons for the low progress of future specialists have been determined. Conclusion: The practical significance of the research lies in the development of recommendations for training and the formation of the emotional-volitional sphere during educational activities.
Cyberbodies

In addition to its metaphorical and practical influences, the internet has informed New Agers’ cosmologies and corresponding bodily practices by requiring a rethinking of the physical universe in the face of virtual ubiquity. It has allowed them to imagine new ways of making space in their ontological realities for metaphysical, energetic substances. We can see, perhaps somewhat counterintuitively, that the digital has made the spiritual ever more material and situated in the flesh for New Agers searching for the true nature of existence. Drawing from ethnographic fieldwork from 2016 to 2018 and ongoing research with energy healers in the San Francisco Bay Area, this “anthropology of virtual matter”—understanding how the virtual has caused a paradigm shift in how we think about the material world—gives us fresh eyes with which to see the New Age. It even forces us to reconsider spiritualities as material ontologies, the conception of materiality that shapes how believers understand and interact with the world around them through their bodies, sensoria, and metaphysical appendages.
The Viola-Jones Face Detection Algorithm Analysis: A Survey

In this paper, we analysis the Viola-Jones algorithm, the most real-time face detection system has been used. It is consisting from three main concepts to enable a robust detection: the integral image for Haar feature computation, Adaboost for selecting feature and cascade to make resource allocation more efficient. Here we propose each stage starting from Integral image to the end with Cascading and some of algorithmic description for stages. The Viola-Jones algorithm gives multiple detections, a post-processing step which reduce detection redundancy using Adaboost and cascading.
Localization of Emotion via EEG Analysis using 3D Trilateration

Localization of cerebral electrical activity of emotional states on the basis of electrophysiological recordings is an important area of investigation in recent years. This field was explored to locate the sources of the emotions in the cortex. The theory that every emotion can have a unique trigger center in the cortex was followed. A precise and accurate method was used, the Trilateration, recognized in the GPS networks, which deduces the points of interest from the distances. This method gave the exact coordinates of the generating points of emotions in the surface area of cortex under the influence of modulating thalamic nuclei. It was found that the energies are stronger in the occipital and parietal part of the brain. Moreover the frontal part plays the role of inhibitor and stimulator of emotions.
Visualizing textual similarity of Shakespearean suspect texts: An examination of the <i>Henry VI</i> plays

Abstract The relationship between Shakespeare’s First Folio and early printings, published in his lifetime, has been a matter of dispute for centuries. A computer program that I have developed visualizes the fluctuating quality of textual correspondences between Folio texts, Henry the Sixth, Part Two and Three, and texts that have been suspected as memorial reconstructions of the Folio, The First Part of the Contention and The True Tragedy of Richard Duke of York. The memorial reconstruction hypothesis assumes increased similarity between the two texts when an alleged actor–reporter is on the stage or speaking and vice versa. The visualization of similarity between two texts, based on the Dice similarity metric, does not show a strong association between the fluctuation of similarity and actor–reporter factors, which challenges the memorial reconstruction hypothesis on statistical grounds. In addition, the distribution of line-by-line similarity scores suggests scene division is a considerable explanatory factor for fluctuating similarity, which is not inexplicable, considering the practice of collaborative writing in the early modern playhouse.
Calculating the Knowledge-Based Economy in 54 Selected Countries

This research attempts to measure the knowledge economy by Combining Inductive and Deductive Approaches. In this essay, a comparison between different perspectives on the knowledge economy was done, and then the knowledge economy is defined as “achieving higher productivity levels by utilizing knowledge”. After examining factors affecting productivity, these factors are classified into four categories including 1- Governance quality and business environment; 2- Quality of information and communication infrastructure; 3- Economic freedom and international relations quality; and 4- Level of knowledge and innovation. Subsequently, by calculating the productivity level for 54 countries and dividing the productivity of each country into these four factors above, the contribution of the fourth factor, and the role of knowledge and innovation in the knowledge economy were calculated and presented as the indicator of the knowledge economy. In each of these four categories, three or more indicators were placed, and fifteen indicators were used. The data of the 15 indicators were extracted in a panel containing information from 54 countries between 2000 and 2016. The weight of different productivity factors was estimated using the Bayesian Panel method. Results of the ranking of the selected countries indicate that the United States, Japan, and Germany are leading countries in a knowledge-based economy.
A Robust Fault Diagnosis Strategy in Mechanical Systems Using Pythagorean Fuzzy Sets

A robust fault diagnosis strategy in mechanical systems based on the use of Pythagorean fuzzy sets is presented. A variant of the FCM algorithm called Pythagorean Fuzzy C-Means (PyFCM) is obtained modifying the original FCM algorithm by using Pythagorean fuzzy sets. Furthermore, with the aim to obtain greater separability among classes, and reduce classification errors a kernel version of PyFCM (KPyFCM) is obtained. The proposed strategy is applied to the Development and Application of Methods for Actuator Diagnosis in Industrial Control Systems (DAMADICS) benchmark. A comparative analysis with other algorithms that use standard and non-standard membership grades is made. The satisfactory results obtained by the proposal indicates its feasibility.
Maximizing quality and efficiency with wide-tow multi-source configurations

Disclaimer Text and Data Mining. Any automated analytical technique aimed at analysing text and data in digital form in order to generate information including - but not limited to - patterns, trends and correlations (so-called Text and Data Mining) may only be applied if it is done by a research organisation or cultural heritage institution solely for the purpose of (non-commercial) scientific research as mentioned in Clause 3 of Directive (EU) 2019/790 (the Digital Single Market Directive) and Clause 15n of the Dutch Copyright Act [Auteurswet]. Text and Data Mining for commercial purposes is not allowed; all rights in this respect are reserved pursuant to Clause 4 paragraph 3 of the Digital Single Market Directive and Clause 15o paragraph 1 of the Dutch Copyright Act.
The Day of the Week Effect in Return of the Five Cryptocurrencies Market

Cryptocurrency works on a system that admits people to make payments all over the world without the requirement for any intermediary.Most digital currencies experience frequent periods of intense volatility.This paper examines the day of the week effects in return and volatility on Bitcoin, Ethereum, Ripple, Litecoin, and Tether currencies.To estimate volatile variance, this research uses five ARCH family models: ARCH, GARCH, EGARCH, TARCH and PARCH Models.The best models are derived based on Akaike Info Criterion and Schwarz Criterion.The sample periods vary based on the date of the initial release of each currency up to 31 December 2019.Results indicate the Power ARCH (PARCH) is the best model for Bitcoin and Litecoin, Threshold ARCH (TARCH) model is the best for Ethereum, Ripple, and Litecoin, and the EGARCH model is for Tether.Each model shows a different day of the week effects on each currency.
Role of Learning and Knowledge to Improvise Organisational Performance on Tourism Industry in Udon Thani Thailand

The following study is mainly conducted to evaluate the effects of learning and knowledge on improvising the organizational performance in the context of hospitality industry in Thailand. The collection of the data is conducted through gathering primary data through questionnaire survey where 420 individuals has provided their input. The analysis of the data is conducted through the use of SmartPLS where the structural equation model (SEM) is used. The tests that are run through the SEM is the confirmatory factor analysis (CFA), discriminatory validity, path analysis and blindfolding test. The result of the study has revealed that the factors centralization, goal and vision, social network and technological implementation are considered significant regarding the learning and knowledge. Moreover, it is been also identified that learning and knowledge is found to have a significant influence on the organizational performance of the hospitality industry in Thailand. Thus, the hospital industry can emphasize on enhancing the learning and knowledge of the employees by focusing particularly on these factors that can aid in enhancing the performance. The major limitation and constraint that is identified for the study is that the study is mainly based on quantitative. Future study can be focused on other industries of Thailand such as FMCG, retailing and pharmaceutical industries.
Application of Artificial Intelligence Technology in English Online Learning Platform

Since the 21st century, the rapid development of computer technology and artificial intelligence technology, the needs of students to learn English knowledge, the transformation of students’ learning style, and the use of online English learning platform has become a way for students to learn English. Happy, healthy learning and all-round development are the goals of students’ learning. The online English learning platform has a variety of forms for students to freely choose content, which is making up for students’ needs for various knowledge, truly enabling students to learn independently, cultivating students’ inquiry ability, preparing for future learning and being able to adapt to the future society. This article aims to study the application of genetic algorithm in artificial intelligence technology in English online learning platform. Based on the analysis of the key technologies and platform requirements of genetic algorithm, it designs how genetic algorithm technology should be used in English online learning platform. And realized the English online learning system, and finally carried out the performance test of the system. The test results show that the system meets the expected goal, and the expected demand can be achieved no matter from the system server and the client.
Basics of photoelasticity and photoplasticity

The basics of photoelasticity and photoplasticity are briefly discussed in chapter 1 and a new specimen for photoplastic calibration is highlighted. The essence of variants of transmission photoelasticity such as three-dimensional photoelasticity with stress freezing and slicing as well as reflection photoelasticity for analyzing opaque prototypes are discussed. A new way to calculate the loads necessary for stress-freezing so that the model does not break or excessively deform, or buckle is discussed. A new scheme of post processing the results of numerical studies to plot photoelastic fringe contours, thereby verifying its validity, is emphasised as the way forward for utilising the results of photoelasticity comfortably.
Entrepreneurial Universities as a Modern Development Stage of the University 3.0 Concept

The article analyzes the formation of the entrepreneurial potential of students through the gradual introduction of the concept “University 3.0”, which provides for an inextricable link between the commercialization of the results of education, science, innovation and research in the field of higher education.