Reviewerly/exHarmony huggingface dataset:
The concentration of gold in different media of the Rehai Geothermal Field in Tengchong County, Yunnan, China

The distribution of geothermal activities in the north and hydrothermal remnants in the south part of the Rehai (Hot Sea) geothermal field is controlled by faults. Four major types of spring water occur in the field in which gold concentrations with 0.044-0.106 ppb have been measured for 8 samples. Their hydrothermal precipitates contain various amounts of gold, the highest Au concentration occurs in pyritiferous hydrothermal products. Also, a distinctive trace element suite (Ag, As, Sb, Hg, Tl) characteristic of hot spring gold deposits has developed. Hydrothermal eruptions have occurred throughout this area. It is suggested that the gold enrichment is controlled by geological features and the physical and chemical character of the geothermal fluid.
Functionalities and Approaches of Multi-Cloud Platform-as-a-Service Model

Over the past few years, the Platform-as- a-Service (PaaS) space has become the fastest growing sector of the Cloud industry. Via a diversification of Cloud solutions, the paradigm for expanding cloud-based services is transforming into Hybrid Cloud computing. As of the virtualization options; so far, the bulk of multi-cloud approaches have focused on the IaaS (Infrastructure as a Service) tier, and ignored all else.a stack of clouds it provides agility, multi-as-a PaaS versatility for the enterprise. A study paper details and evaluates two PaaS multi-cloud strategies: ASCETIC and SeaCloud.
Promoting Interest in Learning Yorùbá Language Using Mobile Game

This paper describes acute areas in which technology plays a role in language and culture revitalization. It was discovered that in order for people to learn a new language, they must express interest in that language. This work presents a new way of arousing the interest of people in learning Yoruba language through the use of mobile game thereby promoting and revitalizing Yoruba language and culture. The mobile application was evaluated using questionnaire to selected participants who have the mobile game developed installed on their phones and explored the application, and then rated based on some criteria such as extensibility, ease of use and user interest in learning Yoruba Language after playing the game. The results showed that 76% of respondents rated the game ease of use as above average, 70% and 90% of the respondents rated the extensibility of the game and interest in learning Yoruba after playing game above average respectively. This technology-based application will serve as an interesting and fun-filled approach of getting people to express interest in learning native indigenous language individually and as a group.
Information System of Customer Relationship Management PT Hasrat Abadi Merauke Regency

Customer relationship management (CRM) is defined as a clear business strategy and is a combination of a range of functions, skills, processes, and technologies that together allow companies to better manage profits with customers as real assets. PT Hasrat Abadi is the official distributor for Toyota and Yamaha vehicles in five regions in Eastern Indonesia. However, PT Hasrat Abadi does not have software that can manage company relationships with customers, and provide fast information to customers for customer satisfaction and increase profits from the company. Making this application uses the RUP (Rational Unified Process) methodology which is gradual with upward progress and iterative (repetitive) to get the appropriate results. Applications can help companies in making a new breakthrough to market their goods and services by reading customer behavior through questionnaires, polling and recording customer activity, this application can help companies to promote the latest products to customers online so they can keep customers even new customer.
FUNDAMENTALS OF FORMATION OF COMPUTER EDUCATION SYSTEM IN EFFECTIVE ORGANIZATION OF THE LEARNING PROCESS

This article provides information on how specific principles constitute the conceptual framework of computer-based learning. These will be general rules that reflect the requirements of computer-based learning laws and objectives, content development, and implementation of the learning process.
LibGuides: History B309/H509: Citation

This guide is intended for students in the course Britain Before 1688. It directs students to resources that are helpful for fulfilling the research requirements of the course and briefly discusses issues of database search construction and strategies.
The problems of fulfilling the culture formation potential of modern russian theater

The article focuses on the essential components of the contemporary theatrical process. The problems of drama and its recessionary trends are identified. Special attention is paid to the issue of values and ideals in dramaturgical work and significance for the further activity conducted by theaters. One of the pivotal aspects in the improvement of theaters’ work identified in the article is the task of optimization of the interaction between these institutions with the audience. The authors also examine the problems of modern theater directing that matter in terms of fulfilling the cultural and creative potential of modern Russian theaters. The authors associate the prospects of further improvement of the system of establishing theaters as cultural institutions with taking advantage of the opportunities for creating a more effective interaction between theater professionals and specialists working in the sphere of education.
Fuzzy Inference Considering Data Aging in Smart Rules Engine

When developing the Internet of Things and Smart Systems, framework based on pattern technology are used. The Rules Engine (RE) pattern implements the functionality of the system under development. A new model Smart RE (SRE) with a two-stage data processing is discussed. The Abstracting Engine (AE) on a first processing stage, are integrated with RE which implements traditional Fuzzy Logic System (FLS) on second stage. The AE maps the data from sensors into facts (words) that reveal the meaning of the data. The fact model takes into account various types of uncertainty, including those associated with data aging over time. The Certainty Factor (CF) as a numerical characteristic of a fact is an input variable of a fuzzy inference mechanism at the second stage of data processing in RE. This article discusses the requirements for the knowledge representation (rules and facts) and the features of the RE operating (fuzzy logic inference), allow using the quantitative estimates of data aging effect in FLS. Three FLS encapsulation options as RE in SRE on an example of application of a Smart Traffic Light system are considered.
Multiplexer based Optimal and Dynamic Resource Provisioning in Distributed Environment

Cloud computing is an aggressive concept to solve different types of real time data outsourcing applications. Resource utilization is one of main concept in outsource services into different users via virtual machines in distributed environment. Optimize resource provisioning and utilization is the main aggressive concept to share different services to different users in different scenarios. Stochastic based resource provisioning prediction management (SRPPM) based on linear regression is one of the optimized approach to satisfy resource provisioning and utilization in distributed computing. Multi user multi servers with multi resource provisioning is still a challenging task in cloud computing. In this document, to propose Virtual and Multiplexer based Optimal Resource Provisioning (VMORP) approach to handle multi user resource utilization in distribution environment. Our proposed approach follows resource provisioning in two different stages i.e reservation and on-demand stages to optimize resources for different users with different services. Probability service function is used in VMORP approach to handle optimized resource provisioning in distributed environment. Our experimental results show efficient resource provisioning with different users in cloud computing.
The Effect of Contextual Teaching and Learning on Reading Motivation

This study is an investigation the effect of Contextual Teaching and Learning (CTL) approach on developing English second semester students’ eight reading motivation dimension. The study aimed to compare conventional and CTL group eight reading motivation dimension achievement and gain before and after receiving different treatment of the study. The study employed in quasi experimental research. The cluster random sampling technique was used in choosing the participants of the study. The random sampling was administered after analyzing the participants literal reading score of first semester through normality test, homogeneity test, and t-test. Questionnaire was used for the data collection. The result of the study revealed that CTL approach was effective to develop eight reading motivation dimension for second semester students of English department. The development of students’ eight reading motivation dimension appeared in achievement and gain after the implementation of conventional and CTL treatment of the study to both of the group. CTL treatment was found to have more significantly effects on eight reading motivation dimension achievement and gain of English department students of Islamic Institute of Kerinci compared to conventional treatment. The study recommended CTL needed to be conducted to other skill of English and other level of students with more than two classes, and targeted other skills of English and other level of students for further research to determine whether the implementation of CTL approach has a positive effect for teaching and learning process outcome
Towards Robust Security Risk Metrics for Networked Systems: Work in Progress

Security risk quantification is a necessary step in protecting critical resources in today’s networked systems. Conventional security risk measures are based on the point estimates of the likelihoods of potential multi-step attacks that combine multiple vulnerabilities. Drawbacks of these measures are due to disregard for the tail risk, inherent inaccuracy of estimates of low probabilities, and reliance on the specific attacker(s) model. The recently proposed measure of cybersecurity risk - Cyber security Value at Risk (CyVaR), which is based on the VaR measure of financial risk, accounts for the tail risk. However, CyVaR still suffers from reliance on the specific attack model, and moreover has its own problems, e.g., it is not a coherent risk measure, which is currently considered to be a necessary trait of a risk measure. Following the recent trend of replacing VaR with the robust and coherent Entropic VaR (EVaR) as a financial risk measure, we suggest replacing CyVaR with CyEVaR. Using an example of a networked system and a highly motivated and capable attacker, we demonstrate that conventional risk measures may significantly underestimate the actual cybersecurity risk. Finally, we outline directions of future research.
The Market for Fake Reviews

We study the market for fake product reviews on Amazon.com. These reviews are purchased in large private internet groups on Facebook and other sites. We hand-collect data on these markets to characterize the types of products that buy fake reviews and then collect large amounts of data on the ratings and reviews posted on Amazon for these products, as well as their sales rank, advertising, and pricing behavior. We use this data to assess the costs and benefits of fake reviews to sellers and evaluate the degree to which they harm consumers. The theoretical literature on review fraud shows that there exist conditions when they harm consumers and other conditions where they function as simply another type of advertising. Using detailed data on product outcomes before and after they buy fake reviews we can directly determine if these are low-quality products using fake reviews to deceive and harm consumers or if they are possibly high-quality products who solicit reviews to establish reputations. We find that a wide array of products purchase fake reviews including products with many reviews and high average ratings. Soliciting fake reviews on Facebook leads to a significant increase in average rating and sales rank, but the effect disappears after roughly one month. After firms stop buying fake reviews their average ratings fall significantly and the share of one-star reviews increases significantly, indicating fake reviews are mostly used by low quality products and are deceiving and harming consumers. We also observe that Amazon deletes large numbers of reviews and we document their deletion policy.
Innovations in 3D printing: Fibrous structures and mobile app development

First place winner of an oral presentation for Natural Sciences and second place winner of the University Libraries Undergraduate Research Award at the 20th Annual Undergraduate Research and Creative Activity Forum (URCAF) held virtually, Wichita State University, April 9, 2021.
LibGuides: Research Data Support Services for Researchers: Archiving Research Data

This guide supports the University’s Policy on Research Data Management contained within the Research Integrity Policy Framework. The guide provides guidance for Swansea University researchers on expectations, obligations, advice and support for research How to safely archive research data
온라인 교육과정 품질과 학습 만족도가 전이에 미치는 영향 : 인터넷 자기효능감의 조절된 매개효과를 중심으로

The objectives of this study is to provide the curriculum manager of cultural tourism commentator with meaningful implications by empirically investigating moderating effect of internet self-efficacy on the relationship between online curriculum quality and learning satisfaction, and mediating effect of learning satisfaction on the relationship between online curriculum quality and the transfer of training. To achieve the goals, literatures on ‘quality of online curriculum’, ‘curriculum quality, learning satisfaction, and transfer of training’, ‘internet self-efficacy’, and the present condition of study regarding transfer of training were reviewed, and the empirical researches on perceptions of domestic cultural tourism commentators who took part in the 2020 online training were performed. The findings of the study are as follows. Firstly, the online curriculum quality of culture tourism commentators had a significant impact on learning satisfaction, and the internet self-efficacy of curriculum participants moderated the effect relationship. Secondly, the online curriculum quality had a significant impact on transfer of training, and the learning satisfaction had a mediating effect on the effect relationship. Through the above two major findings, lastly, on the relationship that online curriculum quality had an impact on transfer of training being mediated by learning satisfaction, self-efficacy of curriculum participants finally, had a significant impact on transfer of training by moderating the relationship between the online curriculum quality and learning satisfaction.
Ironmen competitors exhibit unique gait patterns

Human gait patterns have been shown to be stable over prolonged periods (Horst et al., 2017) and unique to individuals (Lin et al., 2011). Commonly, such insights were derived from data collected w...
Moderating speech on social media

Moderation on social media has generated intense controversy in recent years. Faced with pressure by European states for more effective content regulation, the major platforms have undertaken a reform of their moderation policies. Based on the examples of YouTube and Facebook, this article examines three aspects of this reform: revision of reporting procedures; automation of moderation; and regulation by infrastructures, which consists in playing on the visibility of publications to limit their virality. Through the analysis of the interactions between states and platforms on the issues of regulation of fake news and hate speech, this article aims to contribute to the characterization of new regimes of governing public speech on social media.
Measurement Wavelength on Brass Plated Tire Steel Cord using Local Minima and Maxima

The method of measuring the diameter in the picture of the Brass Steel Tire Cord with Pixel Distance and Sliding Window, produces an average value of 0.241 obtained by measuring Pixel Distance, when using a sliding window, the average measurement result is 0.238, the accuracy of both methods of measuring the diameter of Cord Steel Tire Brass is considered quite good, the average results obtained from 29 Steel Tire Brass Cord data set samples (April Lia Hananto et al., 2020). The problem obtained in the conventional measurement phase of wavelengths on the Brass Cord Tire Cord is that the resulting accuracy still requires an observation process from an officer who is considered an expert, there is a possibility of error in his observation (Bouchet et al., 2003). In this study will change the measurement process using computer vision techniques using image processing (Tateno et al., 2020). The method used in the measurement of the wavelengths uses Local Minima and Maxima with approaches to the Wavelengths method. The results obtained by the average measurement can be recognized as its level of accuracy and close to the standard value of the measurement company.
Biometric based digital transaction system using raspberry PI

Biometric based digital transaction system is used for various kinds of payment system instead of carrying the ATM cards to different places and to memorize their different passwords and pin numbers which is most difficult. Biometric digital transaction system is much safe, secure and very easy to use even without using any password or secret codes to remember as compare with previous system like credit card payment system, wireless system and mobile system etc. Biometric digital transaction system is reliable, economical and it has more advantage as compared with others. In daily life the usage of credit cards, check card for shopping, bus card, subway card for travelling, student card for library and department, and many kinds of cards for unlimited purposes and so on. Since a person has to take many cards and has to remember their passwords or secret codes and to keep secure to take with him all time, it is difficult, so the biometric payment system will solve many problems. Greater adoption of biometric digital transaction system will drive down the cost of biometric readers and thus making it more affordable to small business owners. In this paper we proposed high speed and more secured Biometric based digital transaction system using Raspberry Pi 3.
Between Flexibility and Consistency: Joint Generation of Captions and Subtitles

Speech translation (ST) has lately received growing interest for the generation of subtitles without the need for an intermediate source language transcription and timing (i.e. captions). However, the joint generation of source captions and target subtitles does not only bring potential output quality advantages when the two decoding processes inform each other, but it is also often required in multilingual scenarios. In this work, we focus on ST models which generate consistent captions-subtitles in terms of structure and lexical content. We further introduce new metrics for evaluating subtitling consistency. Our findings show that joint decoding leads to increased performance and consistency between the generated captions and subtitles while still allowing for sufficient flexibility to produce subtitles conforming to language-specific needs and norms.
Deep Neural Networks for Low-Cost Eye Tracking

the paper presents a detailed analysis of modern techniques that can be used to track gaze with a webcam. We present a practical implementation of the most popular methods for tracking gaze. Various models of deep neural networks that can be involved in the process of online gaze monitoring are reviewed. We introduce a new eye-tracking approach where the effectiveness of using a deep learning method is significantly increased. Implementation is in Python where its application is demonstrated by controlling interaction with the computer. Specifically, a dual coordinate system is given for controlling the computer with the help of a gaze. The first set of coordinates–the position of the face relative to the computer, is implemented by detecting color from the infrared LED via the OpenCV library. The second set of coordinates–giving gaze position–is obtained via the YOLO (v3) package. A method of labeling the eyes is given, in which 3 objects are used to track gaze (to the left, to the right, and in the center).
A Regression Model Tree Algorithm by Multi-task Learning

To tackle the small sample size problem and difficulty reflecting a global effect in a model tree, this study proposes a regression model tree algorithm that employs multi-task learning. By applying multi-task learning considering the relatedness among terminal nodes when estimating a regression model tree, the proposed method prevents overfitting in a node with limited training data and considers both local and global effects. In addition, the multi-task learning algorithm used in the proposed method, interprets the relationship between different nodes. Experimental results on synthetic and real datasets demonstrate that the proposed method improves the prediction performance over baseline methods, particularly in small-sized nodes.
Evaluation Test Generator Using a List of Keywords

Assessment is one of the most important issues in terms of learning. A new challenge in the field of assessment came in the long periods of learning on online platforms. In this paper we propose a model for generating evaluation tests consisting of questions that have statements, keywords and answers. The genetic algorithm that generates the tests will use the keywords to rank the tests through the fitness function. Once the test that maximizes the number of keywords in the initially given list is generated, it can be used for evaluation by the teacher through various mobile applications, web, etc. The implementation of the algorithm in the paper was done using the Java language. The visual application at the end of the paper highlights the results of the presented algorithm.
Protocols beyond QKD on implemented on an 8 user quantum network

Quantum networks scale the advantages of quantum communication protocols to more than just two distant users. Here we present a fully connected quantum network architecture in which a single entangled photon source distributes quantum states to a multitude of users [1] and our work scaling the network to a complete end to end metropolitan quantum network with 8 users [2]. Our network architecture optimises the resources required by each user without sacrificing security or functionality. We established several long-distance loopback connections and demonstrated extended stable operation with high secure key rates. Unlike previous attempts at multi-user networks, which have been based on active components, and thus limited to some duty cycle, our implementation is fully passive. Further, we present our efforts towards coexistence of 100 Gbps classical communication and all quantum channels used in the network over the same deployed optical fibres. Most importantly, we have used our network to implement a wide variety of protocols. These protocols overcome major limitations of quantum networks and each of them represent the first implementation of that class of protocols on a large scale network.