Reviewerly/exHarmony huggingface dataset:
Controllable and tolerable generalized eigenvectors of interval max-plus matrices

By max-plus algebra we mean the set of reals R equipped with the operations a ⊕ b = max{a, b} and a ⊗ b = a + b for a, b ∈ R. A vector x is said to be a generalized eigenvector of max-plus matricesThe investigation of properties of generalized eigenvectors is important for the applications.The values of vector or matrix inputs in practice are usually not exact numbers and they can be rather considered as values in some intervals.In this paper the properties of matrices and vectors with inexact (interval) entries are studied and complete solutions of the controllable, the tolerable and the strong generalized eigenproblem in max-plus algebra are presented.As a consequence of the obtained results, efficient algorithms for checking equivalent conditions are introduced.
Convolutional Sparse Representation with Gradient and Elastic Net Penalty

Convolutional Sparse Coding (CSC) models have recently gained considerable attention in signal and image processing. They are very effective in image denoising. For this kind of model, the regularization term is important for improving the performance of image denoising. This paper proposes a convolutional sparse representation model with a combination of gradient and elastic net penalty terms for image Gaussian noise denoising. The Combination has both advantages of gradient regularization terms and elastic net regularization terms and can achieve a better denoising effect. Experiments show that this combined penalty is better than applying gradient penalty and net elastic penalty separately in Gaussian noise denoising application.
Cheng's Fuzzy Time Series Method Implementation In Predicting The Number Of Covid-19 Positive Cases In Indonesia

At the beginning of 2020, citizens all around the world were streaked by the Corona Virus (Covid-19) pandemic which caused terror far and near. Millions of people were infected and thousands more died ever since the World Health Organization or WHO has declared the Corona Virus (Covid-19) as a global pandemic. Following up on this, the Indonesian government also stated that the Corona Virus problem had become a non-natural national disaster. The President of the Republic of Indonesia and the Regional Government along with their staffs worked hand in hand to take several tactical steps as an effort to prevent the spread of the Corona Virus (Covid-19) in the community. In this study, authors use one method to make predictions or forecasting, that is the Cheng Fuzzy Time Series method, to predict the number of Covid-19 cases in Indonesia so that the government can take tactical steps after knowing the predicted number of the case. The actual data used is the number of Covid-19 case from July 2020 up until October 2020. From the results of calculations that have been carried out using this method, the conclusion is that the performance is splendid, in the range of MAPE &lt;10, whose error value is 5%. With 95% value of accuracy.
Health Status and Job Performance of Physical Education Instructors in Higher Education Institutions

This study examined the health-related factors to the job performance of physical education (PE) instructors in HEIs of Region XII. It employed a descriptive correlational research design, which includes a survey questionnaire in collecting data from 100 PE instructors. As a result, PE instructors revealed that there is no significant relationship between job performance and physical health status Also, there was no significant relationship between job performance and mental health status. Likewise, there was a significant relationship between job performance and emotional health status. Similarly, there was a significant relationship between job performance and social well-being status. However, there was no significant relationship between job performance and health status since some of the PE instructors are not aware of their health status. The study concluded that the majority of the PE instructors lacked proper self-awareness to sustain healthy wellbeing in teaching PE as a profession.
STRATEGIES AND METHODOLOGICAL SCHEME OF CINEMA RESEARCH. METHODOLOGY

In the third article from the series of works devoted to the review of existing and potentially possible algorithms for the research of cinematography, the specifics of the methodological tools necessary for the research of its various aspects are analyzed. The analysis of the methodological tools used in variant research algorithms is developed taking into account the consideration of cinematography as an object and material for cognitive activity carried out in the previous two articles (the first article of the cycle), which is implemented in relation to what can be characterized as the thing area of his disciplinary researches (second article cycle). Based on constant research goals, strategies and methodological examples of various scale researches of cinematography can be functionally used for conscious design and optimal productive implementation of cognitive activity in relation to it.
Asymmetry Model Using Marginal Ridits for Ordinal Square Contingency Tables

This study proposes a new marginal asymmetry model which can infer the relation between marginal ridits of row and column variables for ordinal square contingency tables. When the marginal homogeneity model does not hold, we will apply marginal asymmetry models (e.g., the marginal cumulative logistic and extended marginal homogeneity models). On the other hand, we may measure the degree of departure from the marginal homogeneity model. To measure the degree of that, multiple indexes were proposed. Some of them correspond to the marginal cumulative logistic and extended marginal homogeneity models. The proposed model corresponds to the index, which represents the degree of departure from the MH model, using marginal ridits. We compare the proposed model with the existing marginal asymmetry models and show that the proposed model provides better fit performance than them for real data.
In Memoriam: Prof. Ioan Dzitac - Editorial

In 2021, the International Journal for Computers, Communications and Control (IJCCC) entered its 16th year of existence. The first issue of the sixteenth volume of IJCCC was planned to be a special one dedicated to pay a tribute to the exceptional work and results of Lotfi Zadech, a great scientist born in 1921, who in uenced an immense number of the scholars all over the world. That special issue was thought and organized by Ioan Dzitac who wrote the Editorial. Several outstanding scholars were invited and accepted to publish in the intended special issue. It was Ioan Dzitac's last paper. Unfortunately, on 6th February, when the special issue was almost ready to be published, the heart of Ioan Dzitac suddenly stopped beating.&#x0D; Now, it is our sad duty of honour to propose to collaborators and readers of our journal a special issue meant to commemorate and pay a tribute to Ioan Dzitac, an honest and generous person, a talented and hardworking scientist and professor, an effective and empathic manager, a close and dear colleague and friend.
A New Model of the Public Sentiment Index based on Social Degree of Separation Theory

With the data mining and deep learning developing, more and more data sources are taking into account in the algorithm to get more accurate result. But it is not true that the model with the most data sources is the best one.In this paper, the Cross-Four Degrees Data analysis Model(CFDDM) is proposed to analysis public sentiment index, which is in a new view and combined with social science theory. The theory of the social degree of separation and social attribution are taken into account to analysis. In this paper, the CFDDM use the four degrees of separation theory to analysis the public sentiment, not use the six degrees of separation theory, because the patterns of the information exchange have changed largely than ever,because the developing of internet and new techniques. The four data sources from four different fields are used to analysis the public sentiment index. The weights of different data sources are computed dynamically through probability. The experiment demonstrates that the model is more reasonable and accurate than the models using only one data source.
Reading the Cards

This chapter addresses the many tensions implicit in the increasing use of psychometric and behavioural evaluation algorithms within Higher Education (HE), including remote proctoring technologies often now presented as “artificial intelligence”. These systems explicitly deploy psychometric methods as well as less overt approaches to “personality” metrics and behaviour, including facial recognition, sound analysis and eye tracking. We report here on our own experiences of and research into behavioural and psychometric evaluation within HE, critiquing those approaches against the creation of critical chatbots and tarot readings – processual actions and processes that sit outside the neoliberal university, but which have no less scientific “validity”. We go on to suggest that art practice can be an antidote to such systems being thrust upon academics. In doing so, we invite readers to test the stability and categorisation of their own subjectivities and contrast them with the ergodic and contingent processes of these alternatives to see how they can provide a holistic view of a person in a way that current metric tests employed in HE cannot. The alternatives we present here are predicated on systematic social justice imperatives, on priorities which do not reduce to a split between individuals and others, between subjectivity and society, nor do they replicate the neoliberal imperatives of a marketised educational system. Finally, we assert that reflecting on this via art practice can help academics stay sane and question the neoliberal metrics pushed on us.
AHP Approach for Determining Category in Social Media Content Creation in Order to Maximize Revenue per Mille (RPM)

This study utilizes the Analytic Hierarchy Process (AHP) in the selection of an optimal niche or category of videos for maximizing view count. The main income from videos is derived from RPM, which is a set amount per thousand views. A set of criteria was determined from attributes in the dataset that logically contribute to either the videos’ SEO or trend/popularity. The criteria in question were also determined by commonalities across a vast number of video content platforms, which focus more on the essential attributes of a video. In order to perform pairwise comparison, weights were derived from coefficients generated using Linear Regression. Following the creation of the model, we identify the categories with the highest potential for gaining views. Based on the results, the study may be performed in another time frame to reflect the major shifts in public interest over time. Thus, the importance of its repeatability and degree of usability across datasets from different platforms is emphasized. Doi: 10.28991/HIJ-2022-03-01-07 Full Text: PDF
Transportation data sharing model based on blockchain technology

Traditional centralized management of transportation data sharing faces several actual difficulties. Besides large cost of centralized operation and management, data security and flexibility of sharing are two main-concerned issues. It is worth noting that Blockchain 3.0 has attracted much attention recent years due to its potential in applications of various new areas in addition to the financial industry. To address the current challenges, this paper introduces a decentralized data sharing platform into transportation data sharing process. A sharing model based on blockchain technology is developed to improve the transparency and data security. Three roles are set up in the model and the interactions among the roles are made clear. The paper also discusses the data storage mode to find a practical solution. From the perspective of subject range involved in transportation data sharing, data security and costs, the designed model may be more practical and have advantages over the traditional data sharing mechanism in transportation industry.
THE EXPRESSIVE SPEECH ACTS IN KAMALA HARRIS` VICTORY SPEECH: A STUDY OF MULTICULTURAL VALUES

This paper explores the types of expressive speech acts used by Kamala Harri in her victory speech as the first black female vice president in American history. Her personality as a Jamaican-American-Indian woman has attracted public attention, especially after the Black Lives Matter campaign. The five types of expressive speech acts in this study are based on Searle (1976). This speech act then refers to the words used to express the speaker’s feelings towards the situation, such as apologizing, thanking, deploring, and welcoming. The method used in this research is a qualitative method that involves collecting and analyzing non-numerical data. The data of this study were taken from the transcript of Kamala’s victory speech retrieved from the website of the Washington Post. The results show there are 20 sentences used as the expressive speech act which reflect cultural values she owned as a Jamaican-Indian woman. These include greetings, gratitude, sadness, praise, happiness, and attention. Attentive speech includes speech acts of appreciation, willingness (hope), encouragement, the pride that shows solidarity. Behind these expressive speech acts, Harris implies a great intention to embrace multicultural values ??and empower the entire black community, especially women, and fight racism in the United States. Through her victory speech, Harris embodied multicultural values ??which imply her pride toward her ethnic roots and that she celebrates unity among diversities in the country of United States. Besides, the expressive speech acts reflect the social functions in leading a country.
Does Wealth Levels, Reliance and Leverage Influence Financial Performance?

This study aims to determine whether the level of wealth, dependence, and leverage affects financial performance.The research was conducted covering the variable level of regional wealth including local revenue, the variable level of regional dependence with the center covering general allocation funds, leverage variables including debt to equity, while the variable regional financial performance includes efficiency ratios.The research was conducted with a quantitative approach.The research sample was collected using a saturated sampling technique approach.The research sample was conducted in 4 districts, namely, Kuningan, Majalengka, Indramayu, and Cirebon, from data on the level of regional wealth in the form of general allocation funds and income for each region in 2014-2018 with 20 observations.The analysis test is performed by panel data analysis using the OLS (Ordinary Least Square) method through the eviews approach.The results of the study indicate that the level of regional assets has a positive and significant effect on regional financial performance, the variable level of regional dependence on the central government has a negative and significant effect on regional financial performance, the leverage variable does not have a significant effect on regional financial performance.
ANALYSIS OF THE INFLUENCE OF SERVICE QUALITY ON THE LEVEL OF STUDENT SATISFACTION

Introduction: This study aims to determine whether there is an effect of service quality on student satisfaction at the Faculty of Economics and Business, Ahmad Dahlan University Yogyakarta. And to find out how the influence of the quality of Administration services, library services and parking services on student satisfaction.&#x0D; Methods: This research is a survey research using a questionnaire as the instrument. The population in this study were students of the Ahmad Dahlan University Faculty of Economics and Business Yogyakarta. The sample in this study were 121 active students of the Faculty of Economics and Business, Universitas Ahmad Dahlan Yogyakarta using the Porposive Sampling Method. Namely the technique of determining the sample for certain considerations. Test the validity of the instrument using Confir Motory Factor Analysis. While the reliability test used Alpha Crombach. The analysis technique used is multiple linear regression analysis technique.&#x0D; Results: The results of this study indicate that the Administration variable (X1) has a significant positive effect on student satisfaction at the Ahmad Dahlan University Faculty of Economics and Business Yogyakarta. While the library variable (X2) has a significant positive effect on student satisfaction at the Faculty of Economics and Business, Ahmad Dahlan University Yogyakarta. And the third variable is the Parking variable (X3) has a positive significant effect on student satisfaction at the Faculty of Economics and Business, Ahmad Dahlan University Yogyakarta.&#x0D; Keywords: Administration service quality, library service quality, parking service quality and student satisfaction.
The Impact of External Communication Strategy on Blockchain Startups: Analysing the Case of Credits Blockchain Platform

Communication is always an important part of establishing a business’ sense of direction and growth; information needs to be accessed by the receiver in an appropriate way and put across in a clear, impactful and engaging way so that it will have an effect on the user. This research paper gives a detailed review of external communication strategies in the blockchain industry and how startups could revise their strategies over time to build trust and reputation. Even if the blockchain industry is becoming the preferred choice for businesses to securely conduct transactions, not many blockchain projects find acceptance amongst investors. Blockchain projects focus on raising funds for their ventures at a stage where they seldom have a viable product and using unregulated means of fundraising like initial coin offerings (ICO) or initial exchange offerings (IEO) have in turn been used to accumulate capital for such projects. With trust depleting in these means of fundraising, blockchain are becoming increasingly aware of the need to tailor their communication with potential investors. In this study, we’ve conducted cross-sectional studies across two separate times, once in 2017-18 at the time ICOs found prominence and then later in 2021, exploring how external communication strategies were revised and improved upon over time to ensure success and favour amongst users and investors.
Book Review

Book Review| November 01, 2021 Book Review Ricardo I. Jeldres Ricardo I. Jeldres Departamento de Ingeniería Química y Procesos Minerales, Universidad de Antofagasta, Antofagasta, Chile Search for other works by this author on: GSW Google Scholar American Mineralogist (2021) 106 (11): 1871–1872. https://doi.org/10.2138/am-2021-B1061124 Article history first online: 01 Nov 2021 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Tools Icon Tools Get Permissions Search Site Citation Ricardo I. Jeldres; Book Review. American Mineralogist 2021;; 106 (11): 1871–1872. doi: https://doi.org/10.2138/am-2021-B1061124 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietyAmerican Mineralogist Search Advanced Search Clays in the Minerals Processing Value Chain is the first specialized book that systematically addresses the challenges involved by the presence of clays in the performance of the mineral processing stages, connecting the main scientific findings with technical and operational aspects. Each of the 10 chapters was created by leading specialists in their subject area, who provide fundamental knowledge in terms of identification, characterization, types of deposits, and the impact that clays generate in unit operations such as comminution, flotation, leaching, thickening, and tailings deposits. The editors and authors have worked together to interconnect the different chapters so they form... You do not have access to this content, please speak to your institutional administrator if you feel you should have access.
The Ability to Compose Academic Writing of the Sixth Semester Students of English Department Universitas PGRI Semarang in the Academic Year 2021-2022

This study investigates the ability of the sixth semester students of the English Department of PGRI Semarang University to compose academic writing. The main objective of this study is to find out the ability in composing academic writing of the sixth semester students of the English Department of PGRI Semarang University in the academic year 2021-2022. The writer used the descriptive quantitative method. The total number of the sixth semester regular students is 283 students, so the total number of the population is 283 thesis proposals. Methodology is a set of methods used in a particular area of activities (Hornby, 1995, p. 734). Methodology of the research here means a set of methods used to investigate the objectives of the study. There are seven main parts discussed in this chapter. Those are type of the research, subject of the study, instrument of the research, technique of data collection, and technique of data analysis. The figure of 70,2 is in the range of 66 – 79 which is categorized into good. Therefore, it can be concluded that the ability of the sixth semester students of the English Department of PGRI Semarang University in the academic year 2021-2022 in composing academic writing is good.
Privacy Trust Framework for Evaluation of Security Breaches in Digital Learning Environment – Research in Progress

Our research focus is to identify privacy concern as a factor that influence learners trusts in online learning environments. We intend to elucidate and provide a framework that can assist institutions and instructors who design and implement e-learning platforms and online courses to address these concerns. The essence of the proposed framework is to serve as an evaluation tool for assessing security breaches in digital learning environments using appropriate theoretical. Keywords: Privacy, Trust Framework, Evaluation, Security Breaches, Digital Learning Environment
The contribution of m-learning applications to improving the performance of training on the Moodle platform

Abstract This paper presents a proposal for a mobile learning application called MySchool, which will be added to the e-learning platform Moodle and which contribute together with it to increase the efficiency of training on the platform. In the first part, analyzing the specialized studies, it was found that the main deficiencies reported in the case of e-learning platforms come mainly from the way the platform was designed and especially from the design of the training model when the beneficiaries and users are students in the pre-university course. The paper proposes a mobile learning training system to be added to an existing e-learning platform in schools in Constanta County, Romania. The chosen platform was the Moodle platform which does not make such an application available to users. The main features of the Moodle platform are further analyzed together with the didactic aspects of the application of the platform in the online training process of students. At the same time, the advantages of students who use mobile applications are presented, as well as the disadvantages of m-learning applications. For the design of the proposed system, the ALDIE software design model was chosen together with the rapid prototyping method. The functional and non-functional requirements of the MySchool system and its three-level architecture have been established (Fig. 7). We also designed a learning network in a classroom with 25 students for the proposed system. The conclusions of the paper highlight the usefulness and need for such a system attached to an e-learning platform.