Reviewerly/exHarmony huggingface dataset:
Shoplifting in Mobile Checkout Settings: Cybercrime in Retail Stores

Retailers are implementing technology-enabled mobile checkout processes in their stores to improve service quality, decrease labor costs and gain operational efficiency. These new checkout processes have increased customer convenience primarily by providing them autonomy in sales transactions in that store employee interventions play a reduced role. However, this autonomy has the unintended consequence of altering the checks and balances inherent in a traditional employee-assisted checkout process. Retailers, already grappling with shoplifting, with an estimated annual cost of billions of dollars, fear that the problem may be exacerbated by mobile checkout and concomitant customer autonomy. The purpose of this paper is to understand the effect of mobile checkout processes in retail stores on cybercrime in the form of shoplifting enabled by a technology transformed the retail environment. The authors conducted an online survey of a US sample recruited from a crowdsourced platform. The authors test a research model that aims to understand the factors that influence the intention to shoplift in three different mobile checkout settings − namely, smartphone checkout settings, store-provided mobile device checkout settings, and employee-assisted mobile checkout settings − and compare it with a traditional fixed location checkout setting. The authors found that, in a smartphone checkout setting, intention to shoplift was driven by experiential beliefs and peer influence, and experiential beliefs and peer influence had a stronger effect for prospective shoplifters when compared to experienced shoplifters; in a store-provided mobile devices checkout setting, experiential beliefs had a negative effect on shoplifters’ intention to shoplift and the effect was weaker for prospective shoplifters when compared to experienced shoplifters. The results also indicated that in an employee-assisted mobile checkout setting, intention to shoplift was driven by experiential beliefs and peer influence, and experiential beliefs had a stronger effect for prospective shoplifters when compared to experienced shoplifters. This study is the among the first, if not first, to examine shoplifters’ intention to shoplift in mobile checkout settings. We provide insights into how those who may not have considered shoplifting in less favorable criminogenic settings may change their behavior due to the autonomy provided by mobile checkout settings and also provide an understanding of the shoplifting intention for both prospective and experienced shoplifters in different mobile checkout settings.
Opportunities and Challenges in Cloud Computing Multimedia Teaching Environment

In the cloud environment, we use an interactive mode to communicate with the network, which will involve cloud services and other content, so we have added some virtual resources to facilitate synchronization services with us. Cloud computing has low requirements for the equipment of the client, which determines that cloud computing will be very popular in schools. This paper analyzes the advantages of cloud computing architecture in the teaching platform and the related technologies of applying cloud computing technology to multimedia teaching platform.
Vision based control and landing of Micro aerial vehicles

This bachelors thesis presents a vision based control system for the quadrotor aerial vehicle,Crazy ie 2.0, developed by Bitcraze AB. The main goal of this thesis is to design andimplement an o-boa ...
Library: Student Support: Home

TasTAFE want all students and staff to feel safe and welcomed. The Student Support teams can help connect you with campus community events and programs.
Secure and insecure bases in the performance of Western classical music

In The Modern Invention of Medieval Music (Leech-Wilkinson 2002), I suggested that Kuhn’s 1962 model of change in scientific thought applied effectively to changes in scholarship on the performance of medieval music. In Western classical performance as a whole, however, there has been only one Kuhnian revolution so far as we know, the development of historically informed performance (HIP) from the 1960s onwards. Nowadays that is generally seen, at any rate among scholars, as another modern invention, albeit artistically highly successful (Taruskin 1995, 2009). HIP performers still prefer to see it as historically well-grounded, for that provides the kind of justification for its practice that is absolutely required by the ideology underpinning performance of Western classical music (WCM). That ideology rests on the belief that the role of the performer is to reproduce the intentions of the composer. In fact, as has been comprehensively shown over the past 30 years (since Philip 1992), performance style changes constantly, with musicians insisting all the while that they have correctly translated the composer. According to the ideology, performance should always remain the same, and it is performers’ and WCM gatekeepers’ duty to ensure that it does; in practice it changes slowly, but over time very greatly. In a study drawing on Darwinian and post-Darwinian evolutionary theory (Leech-Wilkinson 2009a), I argued that this process of change is correctly understood as effected by mutations that are too small to be noticed but that spread rapidly through unconscious copying by others, so that over large spans of time performance changes so much that what is considered “naturally musical” alters beyond recognition. This explains the horror with which modern performers greet recordings made a century ago, where key modern values of musical performance are contradicted. These recordings include many (now unacceptable) performances by composers of their own scores (Slåttebrekk and Harrison 2010). Thus early recordings undermine the ideology itself (Leech-Wilkinson 2010, 2020a).
Generation of Handwriting Applying RNN with Mixture Density Network

Handwriting recognition is one of the fields where researchers try to apply different machine learning techniques to identify the words and recreate a meaningful sentences. Recognition has two ways to get an input: online and offline. Online handwriting involves the conversion of text along with continuous input as user writes the text. Offline handwriting involves processing handwriting images without any other data as input. This paper has been worked on using a set of online handwriting data to recognize a variety of features using long short-term memory recurrent neural networks (LSTM RNNs). The trained neural network along with mixture density networks (MDNs) is used to generate offline handwriting samples from text.
Overview of Machine Learning Tools

Machine learning and artificial intelligence (AI) have arisen as the availability of larger data sources, statistical methods, and computing power have rapidly and simultaneously evolved. The transformation is leading to a revolution that will affect virtually every industry. Businesses that are slow to adopt modern data practices are likely to be left behind with little chance to catch up.The purpose of this chapter is to provide a brief overview of machine learning and AI in the business setting. In addition to providing historical context, the chapter also provides justification for AI investment, even in industries in which data is not the core business function. The means by which computers learn is de-mystified and various algorithms and evaluation methods are presented. Lastly, the chapter considers various ethical and practical consequences of machine learning algorithms after implementation.
Comparison of Microporous Minerals for Potential Contaminant Uptake

&amp;lt;p&amp;gt;Microporous minerals have many industrial applications, from filtration to contaminant immobilization. Natural and synthetic minerals, including zeolites, clays, and silica aerogel, represent a few examples of microporous minerals with distinctive structures, surface charges,&amp;amp;#160;and porosity. Analysis and comparison of their crystal structures are necessary to determine how each mineral may be suited for contaminant uptake. Here we assessed the structure of microporous minerals, specifically rowleyite, clinoptilolite, vermiculite, and silica aerogel.&amp;amp;#160; Raman spectroscopy, X-ray fluorescence, and X-ray powder diffraction were used to create and model atomic mineral structures to visualize atomic and macroscope features. Taking into account pore size and surface charge each mineral was reviewed to find the best fit with regards to heavy metal uptake, mainly Pb (lead). Overall, we provide a comparative framework to assess microporous minerals that will inform future flow-through experiments for heavy metal uptake.&amp;lt;/p&amp;gt;
Development of Algorithm for Distinguishing of Malignancy in Computed Tomography Lung Using Feature Extraction and Artificial Neural Network

Prior conclusion of malignancy cell development prompts spare bunches of valuable human lives. It is important to build up some mechanized instrument, so as to distinguish dangerous state toward the starting stage itself. Numerous calculations had been proposed before by numerous analysts previously, at the same time, the exactness of forecast is consistently a difficult undertaking. In this work, a counterfeit neural system based philosophy is proposed to locate the irregular development of lung tissues. Higher likelihood of discovery is taken as a target to get a robotized apparatus, with extraordinary exactness. Manual translation consistently prompts misdiagnosis. An undeniable Computer Tomography picture set of lung of 10 unique people, with typical and threatening wellbeing states have been considered in this work. The three unique perspectives on the CT examining framework, for example, pivotal, coronal, and sagittal have likewise been considered in the information base creation. Unmistakable textural highlights of the pictures give an intra class variety in its temperament, make a neural system, plausible for order of the typical pictures, recognizing ceaselessly from the threatening ones. Ideal capabilities got from Haralick Gray level co-event Matrix and utilized as the measurement decrease path for taking care of neural system. In this work, a paired Support Vector Machine Neural system has been proposed to recognize the typical pictures out of the considerable number of pictures. The capacity of the proposed neural system has been quantitatively processed utilizing disarray grid and found as far as arrangement exactness.
LibGuides: Streaming Video: A Guide to Streaming Video Collections from NOVA Libraries: Known Issues with Streaming Video

A guide to finding and using streaming video for use in courses. Questions? Email LTS@nvcc.edu
Survey On Data Mining Approach Of Social Media Analytics For A Brand Building

The data mining is the technique which is utilizes the different kinds of algorithms and methods that consumes data and extract the application oriented patterns. These patterns are used for various task decision making, prediction, recognition and others. In this work the ability of data is mining is investigated in the domain of business brand building and the business intelligence. In this context the social media data is involved for analysis and finding the different aspect of business growth and understanding future consumer’s expectation and interest. In this work the overview of proposed research direction and the objectives of the work are demonstrated .
Non-parametric statistics as a tool for provenance analysis in gravel deposits: Vinchina Formation (Miocence, Argentine) as a study case

The Neogene Vinchina Basin developed between 27°and 33°S as a foreland basin as a response to the Andean deformation in the southern part of the Central Andes. The Miocene Vinchina Formation (Turner, 1964) was deposited mainly in fluvial, fluvial-aeolian, aeolian, and lacustrine environments, reaching up to 6400 meters in thickness representing the main depositional unit in the basin. This unit is remarkably exposed along the Sierra de Los Colorados (La Rioja Province, Argentina), where this study was carried out. The results from statistical analyses from 33 gravel beds, their modal compositions, compositional trends, and distribution patterns, based on in-situ lithological clast-counting are presented. The statistical approach was carried out by using hierarchical clustering and principal components analysis (PCA), which permitted differentiate three compositional clusters thought to represent different petrofacies. The first cluster involves samples with compositions widely dominated by neovolcanic andesitic clasts, where intrabasinal volcanic effusions were the main detrital source. The second one comprises samples with mixed compositions dominated by palaeovolcanic clasts. Detrital sources of this cluster were primarily the cordilleran/precordilleran area, with subordinated contributions from the Western Sierras Pampeanas crystalline basement, and intrabasinal volcanic deposits. The third cluster involves mixed samples with a dominance of crystalline-basement supply. The main source area for these samples was the Western Sierras Pampeanas, although the cordilleran/precordilleran supply is present in significant proportions. This study illustrates the merit of using non-parametric statistics in provenance studies and especially, to detect internal compositional variations when multiple source areas are active.
LibGuides: Collection Life Cycle: Home

This guide will provide information about the Spring 2021 CE The Collection Life Cycle, along with other supports for collection maintenance.
Sistem Identifikasi Komentar Negatif Pada Instagram

Starting from a problem that often occurs in the social media application Instagram, namely negative comments. Negative comments are generally in the form of words that annoy the account owner because they are not related to photos or videos. Negative comments can cause the mentality of the account owner to be disturbed because the comments are too cornering for the account owner. This study aims to build a system that can identify negative comments on Instagram. To identify negative comments using Sentiment Analysis with NaA¯ve Bayes (NB) method and using system design tools such as Activity Diagrams, ERD (Entity Relationship Diagrams), Use Case Diagrams, Codeigniter, MySQL and Visual Studio Code. Comment data used in this study was taken from all comments in the photo or video of the account owner. Testing on the system using the Black Box and Usability methods. From the results of research the system runs as expected to help deal with negative comments on Instagram posts. The test results from the Black Box explained that the system made can run according to its function and based on testing from Usability using the System Usability Scale (SUS) questionnaire, the average score of 67.08 is obtained so that it can be concluded that the system is in a good category and can be accepted by users
ORGANIZATION OF PRACTICAL TRAINING OF POLYTECHNIC COLLEGE STUDENTS

The paper deals with the organization of practical training of students in educational institutions of secondary professional education. Practical training is a form of organizing educational activities within the syllabus implying that students perform certain types of work related to future professional activities. It aims at forming, consolidating, developing practical skills and competencies according to the corresponding syllabus. The authors analyzed the normative documentation regulating the practical training of students. The paer shows the role of dual education in the development of professional competencies of college graduates, and reveals the features of network interaction in the study process between the educational organization and partner enterprises. The key component of practical training is industrial internships aimed at consolidating and deepening the knowledge acquired by students, as well as acquiring the necessary practical abilities and skills. Networking opens up many opportunities for mutually benefi cial cooperation between educational organizations and partner enterprises. The authors analyzed the experience of network interaction of Polytechnic College No. 8 named after the Double Hero of the Soviet Union I.F. Pavlov and a number of enterprises in Moscow and the Moscow region, cooperating on the basis of agreements on network education. Along with taking practical internships at industrial enterprises, college students take part in the “Professional Internships” project. The high level of practical training is evidenced by the results of professional skills competitions according to WorldSkills standards and the Abilympics championship. According to the Center for Assistance to Employment of Graduates, 76.7% of graduates of 2020 were employed in Moscow, of which 55.6% were employed by partner enterprises.
Enhancing information mediation to employees at Willys : How a analysis of Willys onboarding process led to a mobile application for employees

A well thought out process is today a commonly used approach to enable new employees to become efficientin their new role. Axfood is a Swedish company group that operates in the food and logistics ...
A Counterexample to the Central Limit Theorem for Pairwise Independent Random Variables Having a Common Absolutely Continuous Arbitrary Margin

The Central Limit Theorem (CLT) is one of the most fundamental results in Statistics. It states that the standardized sample mean of a sequence of n mutually independent and identically distributed random variables with finite first and second moments converges in distribution to a standard Gaussian as n goes to infinity. In particular, pairwise independence of the sequence is generally not sufficient for the theorem to hold. In this paper, we review the literature on sequences of random variables that fail to satisfy the conclusion of the CLT. Additionally, we construct explicitly a sequence of pairwise independent random variables having a common but arbitrary marginal distribution $\mathcal{L}$, and for which the CLT is not verified. We study the extent of this 'failure' of the CLT by obtaining, in closed form, the asymptotic distribution of the sample mean of our sequence. It is asymmetric with a tail that is always heavier than that of a Gaussian. It is remarkable that this asymptotic distribution is parametric, its sole parameter being related to the median of $\mathcal{L}$.
RURAL SCHOOL DEVELOPMENT: APPROACHES AND BEST PRACTICES

In recent years, the issue of rural development has been the focus of state policy. In 2019, the state program "integrated rural development" was adopted in accordance with the decree of the government of the Russian Federation No. 696 of may 31, 2019 "On approval of the state program of the Russian Federation "Integrated rural development". Rural development is a complex task that involves a number of areas. One of the most important, according to popular opinion, is the development of rural schools. It should be noted that the current problems of rural school development have been highlighted in a number of works by Russian researchers. At the same time, the complexity of the problem and its multidimensional nature, according to the authors of the article, require the study of successful foreign experience, which, after understanding, could be implemented on Russian soil. In the developed countries of the world, considerable experience has been accumulated in the development of rural territories in terms of social orientation and complexity of their development, in which the rural school plays a key role. In General, the European and American models of state support for rural development and rural schools differ in their approaches to state support for rural development. Perspective, according to the authors, is the following directions in development of Russian rural schools: the formation of school-based community center; the extension of the educational environment due to the public spaces of the village; the organisation of production on the basis of a rural school.
Feature-Based Forensic Text Comparison Using a Poisson Model for Likelihood Ratio Estimation

Score- and feature-based methods are the two main ones for estimating a forensic likelihood ratio (LR) quantifying the strength of evidence. In this forensic text comparison (FTC) study, a score-based method using the Cosine distance is compared with a feature-based method built on a Poisson model with texts collected from 2,157 authors. Distance measures (e.g. Burrows’s Delta, Cosine distance) are a standard tool in authorship attribution studies. Thus, the implementation of a score-based method using a distance measure is naturally the first step for estimating LRs for textual evidence. However, textual data often violates the statistical assumptions underlying distance-based models. Furthermore, such models only assess the similarity, not the typicality, of the objects (i.e. documents) under comparison. A Poisson model is theoretically more appropriate than distance-based measures for authorship attribution, but it has never been tested with linguistic text evidence within the LR framework. The log-LR cost (Cllr) was used to assess the performance of the two methods. This study demonstrates that: (1) the feature-based method outperforms the score-based method by a Cllr value of ca. 0.09 under the best-performing settings and; (2) the performance of the feature-based method can be further improved by feature selection.
A Comparative Study on the Correlation Types of the Constituent Components of Chinese and Thai Coordinate Disyllabic Words

Coordinate compound is an important way of word formation in both and vocabulary systems. However, the conceptual category of coordinate compound is different between these two languages. Both and coordinate disyllabic words are composed of two or more identical, similar, related, or opposite meanings of morphemes. There are three types of coordinate disyllabic including consonance, divergence, and classification disyllabic words. Furthermore, the conceptual category of coordinate disyllabic words also includes phonetically related coordinate disyllabic words, which are formed by two or more harmonious sounds of syllables. The coordinate disyllabic words are not semantically related but are stressed on the phonetic harmony within the coordinate disyllabic words. This paper compares the number of coordinate disyllabic words in the Chinese Proficiency Test Dictionary and Thai National Corpus and finds that the proportion of identical disyllabic words in the two languages is rather high, while that of opposite disyllabic words is very small. However, the semantic features reflected by the juxtaposition of the opposite meaning morphemes are more special and deserve our attention.
Sistem Pendukung Keputusan Penerima Beras Miskin di Desa Masbagik Selatan Dengan Metode AHP dan TOPSIS

The poor rice program is one of the government effort to cope the problem of poverty and keep the people’s food less economically. But in reality the program still not optimal due to at the time of the selection of poor rice recipients there is no support system yet and the absence of accurate calculation at the time of granting poor rice recipients. So that causes all the people get the help of poor rice. This causes poor rice distribution is not right on target.&#x0D; Therefore there is a need for a system that can assist in the recipients of poor rice recipients. In this study the criteria used in the selection of poor rice recipients are age, income, dependent and work. The method used in this study is the method of AHP and TOPSIS. The AHP method is used to determine the weight of the importance of each criteria used, while the TOPSIS method is used to provide the best alternative to get the help of poor rice in Masbagik village.&#x0D; The result of this study indicate that the system has been built as expected according to the test conducted with blackbox testing.&#x0D;