Reviewerly/exHarmony huggingface dataset:
AUDIT E-LEARNING DENGAN FRAMEWORK COBIT 5.0 DI MASA PANDEMI COVID-19

The first Coronavirus Disease-2019 (COVID-19) outbreak appeared in Wuhan, China on December 01, 2019 and was declared a pandemic by WHO (world health organization) on March 11, 2020[1]. This condition requires all levels of society to stay at home (WFH), worship, work and study all at home. So that educational institutions are also required to follow government regulations and innovate learning processes that must continue when natural disasters or global pandemics occur through online learning with the aim of improving the quality of learning. Darmajaya Institute of Informatics and Business uses information technology in the form of online learning media called E-Learning for students and lecturers. This of course makes students and lecturers have to adapt in using the information technology. This E-Learning technology is used intensely by students and lecturers (both permanent and external lecturers) of IIB Darmajaya, so that in conditions in the field there are many shortcomings in the E-Learning service at IIB Darmajaya. One way to measure the governance and capability level of E-Learning services at IIB Darmajaya is to conduct a governance audit on the E-Learning services. In this study, a governance framework is needed in the form of Control Objective for Information and Related Technology 5 (COBIT 5.0) which can provide benefits for an agency in achieving strategic goals and optimizing services from information technology.Keywords—Audit Tata Kelola, E-Learning, COBIT 5.0, Maturity Level, Capability Level.
Education of the Value Attitude in Younger Pupils in the Project Technology ‘The Tree of Life – The Tree of Genus’

The article is devoted to the actual problem of nurturing the value attitude to the Motherland from younger students by means of folk pedagogy.The purpose of the article is to substantiate and disclose the project technology of life-tree of the genus, aimed at the cultivation of value relations to the Motherland on the basis of generalized knowledge about the means of folk pedagogy of a younger student.The complex of the following diagnostic methods was used in the research: interrogation, indirect pedagogical observation, questionnaires, piloting collective and individual conversations, in order to identify the levels of understanding the essence of the value attitude to the Motherland on the basis of folk pedagogy by the cognitive-reflexive criterion.The scientific approaches (cultural, personality-oriented, competent, activity and system) were determined, the principles and methods on the basis of which the model Trees of life – trees of the genus and the project technology of education of value relations to the Motherland by means of folk pedagogy were developed.A general overview of the tools of folk pedagogy that take place in the project technology is given, their essence and significance are revealed, in the context of which the experience of cultural heritage of the people is transmitted through spiritual interaction, dialogical communication and subject-subject relations with the purpose of upbringing the value attitude towards the MotherlandOn the basis of the analyzed curricula, the volume of realization of the sciences that contribute to the education of value relations in the Motherland has been identified.The main problems of upbringing of value attitudes to the Motherland are determined on the basis of folk pedagogics in the system of life - tree of kind.According to the author, the introduction of the proposed project technology into the educational process will help to increase the level of national identity and national-cultural identity.
Effectiveness of programming languages in current trends

The purpose of this study is to improve the better understanding about the different programming languages which are in current usage by maximum of software developers in the world. Programming is one of the core skills required by most well-paying IT jobs today. We have assumed that each reader is familiar with at least one of the programming languages, for example, C/C++ and has written basic programs in that language. We hope that the assumption is true for the greater majority and we will therefore proceed to that basis. The incremented list of programming languages and protocols can make it tough for developers and coders to select any one of the languages that’s most suitable for their career or jobs .This study analyzed the effectiveness and usage of different programming languages and provide a clear insight into choosing the exact programming language that could be satisfy their future goals. Coding skills are especially a gem in the Information Technology, data analytics, research, web scraping, web designing, and engineering segments. So, which programming language should one know to pursue their dream career? This article focusing on a small compact set of trends involving some high-level programming languages. We quantified many of their relevant factors, and then collected data on their usage over a decade. We have chosen the coding languages like Rust, Ruby, Go, Objective-C, Python, JAVA, PHP, JavaScript, etc., we have provided the properties like case sensitiveness, platform dependency, motive of development, usage in fields, security state, extensions, etc.,
Investigation on the clusterability of mixed variables basedon simulated dataset from simmulticorrdata package / Norin Rahayu Shamsuddin and Nor Idayu Mahat

Mixed-type variables gain significant attention in clustering as widely observed in real datasets. The construction of clustering or clusterability of mixed dataset seems hard to form owing to a different scale in data. The current paper assessed the impact of clusters structures that developed from simulation data of mixed data types derived from different distributions through the R package SimMultiCorrData that mimics the real-world scenario. This particular package was therefore adopted to acquire mixed variables simulation data and investigated the clusterability of mixed variables in a dataset.
CHARACTERIZING AND OPTIMIZING ON-CHIP SHARED MEMORY RESOURCES USING MARKET-DRIVEN MECHANISMS

Heterogeneous applications often share memory resources such as last-level caches and memory bandwidth within the many-core system deployed in the IaaS model. The performance of applications in such an environment depends highly upon the contention caused in the shared resources by the co-runners. Resource provider wants to dynamically allocate these physical resources among various application running in the system. They aim to improve the hardware utilization of the system while maximizing the benefit of the clients. Different applications derive varying utility as a function of the number of resources allocated to them; making it difficult for the resource providers. We present a way to evaluate the performance metric of an application under varying resource constraints along with co-runners. We present a market-driven mechanism which uses the auction to allocate LLC and memory bandwidth among different application in the system. We used benchmarks from SPECCPU2006 suite to evaluate our mechanism. Experimental results show the improvement of 1.5x-2x as compared to the state-of-the-art algorithms.
An Analysis on Reading Activities of an English Textbook Used at Eleventh Grade of SMA Negeri 1 Jambi City in Academic Year 2020/2021

This research aimed to analyze the reading texts provided in English textbook used in SMA N 1 Jambi City based on the criteria of reading text. The criteria are the variety, exploitability, suitability of content, the length or size, readability and authenticity of the text. In this research, the researcher used descriptive qualitative. Specifically, the research method that used in gathering the data is content analysis method. The data were gathered by reading all of the reading texts repeatedly to identify and classify the necessary data. There are seven reading text with different variety which includes narrative, expository, speech, play script and recount text. All of these texts were also provided with reading activities which is split into three phase including pre-reading, while reading and post reading activities. These texts have different topic and theme which also found to be suitable for high schools students. The topic and theme of the text are interesting and can be referred to the other subjects in their learning. However, the length of the texts are seems to be not suitable for high school students. Most of the texts were considered to be more suitable for students in lower level. The texts also met the readability criteria since the topic are familiar to the students and there is no over-detailed or oversimplified explanation within. Finally, the results also show that the texts are met the authenticity criteria, which means most of them are taken from authentic sources that relevant to the topic. Keywords: Reading Activities, Textbook
(Almost) No Bad Drugs: Near-Total Products Liability Immunity for Pharmaceuticals Explained

This Article explores four beliefs about supposed pharma-benevolence that appear to be shared by more than the industry, reaching the level almost of conventional wisdom. These figurative pillars help support one-sided results in court. However, each of the pillars on examination turns out at least a bit shaky. This Article puts them forward for review to start a necessary discussion.The locus of this Article is products liability, where a court concludes that a manufactured object is defective or could be called defective by a factfinder following a trial. Drug manufacturers enjoy near-immunity from this consequence. Modern products liability identifies three categories of product defect, and courts insulate drug manufacturers from responsibility for all three.In clarifying an ill-understood state of the law, this Article holds back on overt condemnation of what it observes. Skepticism about the fit between products liability and prescription drugs certainly could be defended. Judges and juries competent enough to assess a more mundane product might be unsuited to the task of determining defectiveness of a prescription drug. Instead of lamenting the absence of products liability redress for injured drug consumers, this Article pursues transparency about what it reports.The author argues that the current state of the law appears healthier than it really is because unexamined premises about the no-liability status quo sound plausible and soothing: Figurative pillars hold up a barely seen exception to accountability under the law. Prescription drugs look worthier of indulgence than other products because they purport to increase welfare beyond the satisfaction of individual preferences.In contrast to other products that purport only to give buyers what they want, pharmaceuticals purport to give every one of us what we need. Judgments that transfer money to individuals at the expense of a savior-sector seem perverse. From there, a deferential-to-manufacturers consensus has emerged and holds steady.
On some similarities and differences between deep neural networks and kernel learning machines

This paper presents a thorough computational comparison of the predictive performances of deep neural networks and kernel learning machines.The work featured here successfully establishes that on both real-life datasets and artificially simulated ones, kernel learning machines tend to be just as good as deep neural networks, and quite often outperform them predictively.It turns out from the findings of this paper that while deep neural networks might have worked well on tasks for which millions of observations are available, kernel learning machines just happen to be predictively better on a wide variety of tasks with the kind of sample size that one should realistically expect to have in practice.MSC (2020)
Virtual Reference Service through Mobile App Developed Using MIT App Inventor: An effective tool for Librarians in Covid-19 Pandemic Scenario

The paper reveals the responsibilities of library professionals in the contemporary world. And how to think, and how to provide informationservices to the user community in the critical situation resulted by COVID-19 pandemic. This paper is also give new idea about how to provide information services using “open access information sources”. Using “open access information sources” and “MIT App inventor: the mobile application developing platform” how can a library professional provide effective virtual reference service is briefly explained in this paper.
Unified system of library services in St. Petersburg and irbis-turbo

The article describes the Unified System of Library Services in St. Petersburg, which is the first corporate system of library services in the Russian Federation. The article describes the history of the system, the capabilities, principles and solutions used in its creation. The article also addresses the issue of transferring the system to a new Irbis-Turbo server to solve problems that arose during operation.
Research on Online Classification of Road Vehicle Types Based on Electromagnetic Induction

The vehicle classification correct rate of loop induction detector widely used on road is not high. The main reason is the classifier of fixed classification rules cannot cope with the changes of vehicle's complicated models and new vehicle's type classing. Based on the electromagnetic induction characteristic waveform of the vehicle passing through the loop，a new real-time discriminant method for vehicle classification was proposed. The principal component analysis method was used to extract the features. The adaptive resonance neural network algorithm was applied to cluster classification modes，these were dynamically divided into vehicle types then. For new vehicles of unknown vehicle type，new classification modes were added online by semi-supervised learning to adapt to the recognition of new vehicle type. The average correct rate of road real-time vehicle identification experiments of 7 models was 91.3%， and it was increased to 92.5% after adding new mode automatic recognition. In the comparative experiment with Alexnet multi-layer convolutional neural network algorithm， the correct rate of training set and test set were 99.5% and 87.1% respectively， which signified the existence of big differences. The experimental results verified the feasibility of the proposed method to solve the road vehicle identification problem of the change of vehicle mode. Keywords:  vehicle type,  electromagnetic induction,  adaptive resonance neural network,  principal components
Using the whole language approach to teaching Mandarin speaking skills in Indonesia

&lt;p&gt;Abstrak-The major purpose of teaching methods is to achieve the abilities and knowkedge that the teachers want for their students. Teaching that involves listening and speaking skills aims to assist students express differences of pronunciation and understand meaning. The pronunciation should be precise, should be in an appropriate tone and the word used to express the idea must be appropriate. The focus of this qualitative research project is focused on the process of teaching speaking Mandarin in the classroom using the whole language approach. Data collection procedures involved observations by the researchers and searching the literature for books.&lt;/p&gt;&lt;p&gt;Keynote: Using Language, Teaching Mandarin, Speaking&lt;/p&gt;
Analyzing Complex Predicates in Karo Language using Syntactic Parsing

This study characterized the complex predicate and multiple events where the multi-verb single clause realises a single event in syntax and examined the complex sentences containing multiple verbal predicates. This study used the descriptive qualitative method. The data sources used were sentences containing karo sentence clauses and was classified based on the elements of complex Predicates in a tree diagram and the RRG account of nexus-juncture relations theory by Nolan, 2005 &amp; Van Valin, 2005. The findings showed that event, argument, and semantic could be realized in syntactic meaning to reveal complex predicates. The tightest syntactic linkages embodied the closer semantic relations and it was signaled by word order. Most of the complex predicates in Karo language have an embedded object. The core in the nucleus could be appeared not only as one core but two or more complex predicates and it followed by an argument with the form V+V+N and in the form of V+V+N. One argument (Participant/Actor) that involved one core. It assumed that there might be one participant in two events, and there may be two participants in one event. All of Karo language sentences have at least one NP + one VP and they consisted of more than one complex predicates.
SPECTROSCOPIC METHODS TO DETERMINATION OF GEOTHITE IN KAOLINITE

One of the main contaminants of kaolinite, the iron, directly impacts quality in its commercial value. The spectroscopic monitoring, measured the depth of absorption of kaolinite, is compared with the literature in order to identify possible contaminants. The occurrence of kaolinite is due to the formation of primary minerals after the partial release of cations and silicon. This clay-mineral has a simple shape, with variable crystallographic imperfections, especially in the presence of iron, which replaces aluminum in the mineral chain, causing various structural disorganizations. The extraction of industrial minerals combined with geological studies, allows the development of new sources of energy, such as clay minerals, in particular kaolinite. Depending on the origin of the kaolinites, the presence of iron oxides in its structure, Fe2O3 and FeO(OH), are common. By comparing the results of spectroscopy (X-ray fluorescence, X-ray diffraction, RAMAN) and imaging using SEM-EDS, it was possible to identify kaolinite, with a higher determination coefficient, when the proportion of kaolinite reaches 60% or more in the mix. Kaolinite can be identified and quantified with a high correlation in the mixture from the sample absorption. Thus, the method has great potential to assist in quantifying and, consequently, in discriminating the quality of kaolinite.
Network Software Vulnerability Identifier using J48 decision tree algorithm

Abstract: Software vulnerabilities are the primary causes of different security issues in the modern era. When vulnerability is exploited by malicious assaults, it substantially jeopardizes the system's security and may potentially result in catastrophic losses. As a result, automatic classification methods are useful for successfully managing software vulnerabilities, improving system security performance, and lowering the chance of the system being attacked and destroyed. In the software industry and in the field of cyber security, the ever-increasing number of publicly reported security flaws has become a major source of concern. Because software security flaws play such a significant part in cyber security attacks, relevant security experts are conducting an increasing number of vulnerability classification studies, this project can predict the software vulnerability means the software's in the device are authorized or not and who scan the system multiple times, to identify the vulnerability j48 decision tree algorithm was used. Keywords: Malicious assaults, catastrophic losses, Security flaws, Cyber security, Vulnerability Classifications.
Using AOP In Discrete Event Simulation: A Case Study with JAPROSIM

Japrosim is a discrete event simulation (DES) framework that has been developed for academic and industrial purposes based on object oriented paradigm. It contains several crosscutting concerns such as animation, steady state detection, keeping track of a simulation’s state and graphical user interface (GUI). These concerns cross its modules and tend to decrease its modularity, understandability, maintainability, reusability, and testability properties. One of the latest offerings of software engineering domain is the aspect-oriented (AO) paradigm, which provides the ability to break free of object-oriented (OO) decomposition, and describe design with a greater degree of separation of concerns. In this paper, we identify Japrosim crosscutting concerns and propose practical AO solutions by means of the de facto AspectJ.
Design of Secure Authenticated Key Management Protocol for Cloud Computing Environments

In current day’s cloud computing has become one of the fascinating domains which are used by almost all MNC and IT companies. Generally this is formed by interconnecting a large number of systems connected all together for remote servers hosted on internet to store, access, retrieve data from remote machines not from local machines. In present days there was no security for the data which is stored in the cloud server, because the data is not encrypted by strong means of encryption and there is no facility to block the user revocation. In order to address the issues related to data security and user revocation in the public network, we try to design a three-factor Mutual Authentication and Key Agreement (MAKA) protocols for achieving those two concepts. Here in this current paper we try to address these limitations of current cloud server and we propose a provable dynamic revocable three-factor MAKA protocol that achieves the user dynamic management in which if any revoked user want to access the cloud sever cannot able to access the cloud with his old credentials. By conducting various experiments on our proposed method, simulation results clearly state that proposed method is best in providing security against data revocation under distributed storage environment.
Difusão de documentos fotográficos: análise de experiências de três instituições arquivísticas brasileiras no Facebook

It presents the results of a master's research developed in the Graduate Program in Information Science at the Federal University of Minas Gerais, whose objective was to understand how photographic documents are disseminated on virtual social networks, specifically on Facebook. For this, three Brazilian archival institutions were selected, the National Archive, the Public Archive of the State of Sao Paulo and the Public Archive of the City of Belo Horizonte. As a methodology, the Facebook pages of the selected Archives were analyzed for two years, 2017 and 2018, and the technicians who manage the social networks of these institutions were interviewed. The results show that the photographic document is the most widespread documentary genre on Facebook, considering that the public is interested in this content, since photography evokes personal and collective memories. Posts with photographs are mainly used to share themes related to ephemeral, places and public personalities. The most used funds come from the state's journalistic production and press office. The work proposes that institutions have dissemination policies integrated into their archival policies with the aim of establishing all aspects of their performance.