Reviewerly/exHarmony huggingface dataset:
The Impacts of Content &amp;amp; Language Integrated Learning (CLIL) Method on University Students' Reading Comprehension Skills in Indonesia

One of the problems of education in Indonesia is the low level of public literacy both on a national and international scale. One of the essential aspects of improving literacy is by generating interest in reading in college students. This study aims to test the effectiveness of the Content &amp;amp; Language Integrated Learning (CLIL) method on students' reading comprehension skills. There were 40 participants involved in the study which were divided into two groups, namely the control class and the experimental class. All participants are students from the State Islamic Institute (IAIN) Palopo, South Sulawesi, Indonesia who are taking Indonesian language courses as a compulsory subject in higher education. To collect data, the researcher used an instrument in the form of a multiple-choice test which was given to both groups in the pretest and posttest sessions. The learning outcomes of the two test sessions were analyzed quantitatively using the SPSS 20.00 application. The results showed that the use of the CLIL method in Indonesian courses could improve students' reading comprehension skills. This is indicated by the difference in the average value between the pretest and posttest reading comprehension.
IoT Anomaly Detection using Multivariate

Devices associated with Internet of Things are typically constrained in their resources and do not have the computational power necessary to analyze their input and detect anomalies that occur. Smart devices or and environmental sensors that measure temperature, air quality, or seismic activity are all built for specific purposes with minimal resources and often do not have enough security in place to protect against infiltration or detect abnormal behavior. Additionally, because these devices and sensors are typically always connected and transmit constant data in near real-time, the high dimensionality of the raw readings are extremely computationally intensive to analyze. A possible solution to reduce the dimensionality of the data while also extracting the most significant features is to use multivariate analysis techniques such as Principal Component Analysis. PCA is a method of multivariate analysis meant to reduce the size of matrices while not only keeping the most significant variables but also learning the interactions between them. In this paper, we propose exploring anomaly detection in IoT using multivariate analysis techniques to reduce the dimensionality of sensor input to reduce the computational complexity of analysis and learning the most significant variables. While the normal conditions of sensor data are often readily available, the size of the data makes it difficult to precisely determine instances of targeted anomalies. In this study, PCA is used to analyze the available features of the data and from them can determine the sensors under normal conditions. Once the normal conditions are determined, outliers which constitute anomalies can be determined through techniques such as Mahalanobis distance to determine the variance of each observation from the normal distribution. Our work can also be expanded to use other methods of dimensionality reduction and feature extraction such as t-Distributed Stochastic Neighbor Embedding.
Usabi lity and Quality Information in pedulisehat.id CRM u sing Chatbot

Usability and quality information has an important role in a website. To measure the use and quality of the information this research carries out on the pedulisehat website. Customer Relationship Management (CRM) uses chatbot. The variables used in this study are information quality and chatbot usage services. The results showed good results on the pedulisehat.id chatbot website, from the data collected produced two variable quality information with a yield of 77.8% and usability with a result of 63.1%. There is still a need to improve the quality of information and the use of the pedulisehat.id website.
Authorship Weightage Algorithm for Academic publications: A new calculation and ACES webserver for determining expertise.

Finding experts in any field can be difficult, especially when relying on academic publications given the use of jargons despite publication lists being publicly available. Within the use of publications, discernment of expertise by authorship positions is often absent in the many pub-lication-based expert search platforms available which could function as another discernment filter of expertise. Given that it is common in many academic fields for the research group lead or lab heads to take the position of the last author, the existing authorship scoring systems that assign a decreasing weightage from the first author would not reflect the last author correctly. To address these mentioned problems, we incorporated natural language processing (Common Crawl using fastText) to identify related keywords for a search compatible to using jargons as well as an au-thorship positional scoring with the option to provide greater weightage to the last author. The resulting output is a ranked scoring system of researchers upon every search which we imple-mented as a webserver for internal agency use called ‘APD lab Capability &amp;amp; Expertise Search (ACES)’ webserver which can be accessed from webserver.apdskeg.com/aces.
Security Education

Network security and computer security are usually hot topics whenever any intrusion incidents cause system crash and loss of work time in big corporations.In engineering colleges however security is usually a topic with least or incompatible attention.The author has taught many upper division classes in college and also graduate course(s) and has been trying to imbue and enhance the courses with the security component.For example, C / C++ programming course was enhanced with basic ciphering like Caeasr cipher, Java programming was enhanced with Java security concepts, OS course was enhanced with the coverage of access control, buffer overflow, malicious software, etc., network course was enhanced with the coverage of insecure protocol and secure protocol etc.The author will discuss how security education can be enhanced in many college courses below.
Impelementasi Media Daring Dalam Mendukung Pembelajaran di Masa Pendemi

The Covid-19 pandemic has caused many activities to stop, including activities teaching and learning conventionally. Until a solver or deep solution is needed respond to these problems. Teaching and learning activities carried out online is a way to overcome that problem. Destination The research was to determine the use of online learning e-learning media for students at a university in Indramayu. The research instrument carried out on the collection of information and data is by means of questionnaires and library research. As a result of this research shows that online learning has been implemented well, and takes advantage of various learning media such as WhatsApp, Google Classroom, Zoom and Google Meet so learning becomes more varied and makes students not bored quickly and understand faster material delivered. There are several obstacles faced in implementation of online teaching and learning activities, namely the internet network that is not stable, lacking maximum availability of physical references and minimum data quota Internet. Online learning needs to be used as best as possible in activities learning and teaching because it is an innovation in learning so that students and lecturers can conduct lectures efficiently and effectively.
Downbeat delays are a key component of the swing feel in jazz

Abstract The swing feel is a salient feature of jazz music, yet its main psychoacoustical and musical constituents have remained elusive - save the obvious long-short subdivision of quarter notes. In particular, the possible role of microtiming deviations for the swing feel has been a subject of long-standing controversy. Adopting an operational definition of swing we present a study which ultimately demonstrates a positive effect of certain microtiming deviations on the swing feel. We manipulate the timing of original piano recordings to carry out an experiment with expert jazz musicians measuring the swing feel of different timing conditions. Thereby we prove that slightly delayed downbeats and synchronized offbeats of a soloist with respect to a rhythm section enhance the swing feel. Analyzing a set of 456 full solo performances we find that many jazz musicians do use minute downbeat delays and we characterize the dependence of the average downbeat delay on tempo and swing ratio. These results show that systematic microtiming deviations in the form of downbeat delays are a key component of the swing feel in jazz.
BellaTek Encode Definitive Abutments

Biomedical Safety & Standards: December 15, 2020 - Volume 50 - Issue 22 - p 175 doi: 10.1097/01.BMSAS.0000725028.61493.93
Shared Web Service Architecture for Websites with Related Mobile Applications

Mobile application development is growing rapidly in the last few years that it hasn't become solely for big named brands and companies, Today more and more small and midsize businesses and institutions are following the trend of providing mobile based applications to support their work and popularity.This process has had great benefits on the growth of businesses and institutions, but in the same time has come with some burdens to overcome for the developers and programmers of such applications to ensure the consistency between the original business website functionality and the extended mobile applications that supports the websites.In this paper, a proposed architecture for a business employee services website and its supporting mobile application is presented which uses a single web service to support both applications, providing all the functionality needed to ensure consistency between them while at the same time reducing the time and effort needed for programmers and developers to maintain both of them in the best possible way.The code samples in this paper were implemented using the ASP.net programming language for the web service and web site and android programming for the mobile application, but the same architecture can be implemented in any other development language and environment.
Seventh International Workshop on Reverse Variability Engineering (REVE 2019)

Software Product Line (SPL) migration remains a challenging endeavour. From organizational issues to purely technical challenges, there is a wide range of barriers that complicates SPL adoption. This workshop aims to foster research about making the most of the two main inputs for SPL migration: 1) domain knowledge and 2) legacy assets. Domain knowledge, usually implicit and spread across an organization, is key to define the SPL scope and to validate the variability model and its semantics. At the technical level, domain expertise is also needed to create or extract the reusable software components. Legacy assets can be, for instance, similar product variants (e.g., requirements, models, source code etc.) that were implemented using ad-hoc reuse techniques such as clone-and-own. More generally, the workshop REverse Variability Engineering (REVE) attracts researchers and practitioners contributing to processes, techniques, tools, or empirical studies related to the automatic, semi-automatic or manual extraction or refinement of SPL assets.
If We Build It, Will They Come (Eventually)? Scholarly Communication and Institutional Repositories

SUMMARY. Specialists in serials have been dealing with the effects of an imbalance in the scholarly communication process for some time. The increase in scholarly output coupled with the decreasing ability of libraries to provide access to that output due to spiraling journal costs has created tensions for libraries and their communities. By advocating and providing a means to provide open access to scholarly output, institutional repositories have been promoted as one strategy for redefining the scholarly communication model. Since January 2003, the University of Oregon libraries have been exploring this approach. The article will discuss the challenges and opportunities that such repositories face and examine their effectiveness in changing the nature of scholarly communication. This will be done primarily through a case study of the experience of the University of Oregon Libraries. [Article copies avail able for a fee from The Haworth Document Delivery Sen’ice: 1800-HAWORTH. E-mail address: &lt;docdelivery@haworthpress.com &gt; Website: &lt; https://www.HaworthPress.com &gt;]
SPE Fellow of Society Awards Program Focused on Industry Professionals and Their Achievements

Plastics EngineeringVolume 77, Issue 2 p. 8-10 SPE News SPE Fellow of Society Awards Program Focused on Industry Professionals and Their Achievements Six honored in 2021 for their achievements in the plastics industry First published: 02 February 2021 https://doi.org/10.1002/peng.20443Read the full textAboutPDF ToolsExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume77, Issue2February 2021Pages 8-10 RelatedInformation
LIBERIA: Persistent Economic Woes

Africa Research Bulletin: Economic, Financial and Technical SeriesVolume 58, Issue 1 p. 23292A-23293A Policy and Practice LIBERIA: Persistent Economic Woes First published: 06 March 2021 https://doi.org/10.1111/j.1467-6346.2021.09894.xRead the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume58, Issue1March 2021Pages 23292A-23293A RelatedInformation
Choreographed Matter

This research proposes an animation technique using external stimuli to activate kinematic transformations in material.Inherent material properties were enhanced to obtain specific behaviors.Carefully designed but easily fabricated two-dimensional paper constructions animate into three-dimensional configurations through water absorption in three different conditions: Surface, Datum, and Depth.Principles of origami, fiber orientation, and wax patterns are used to control movement in response to choreographic considerations.Digital workflows and analysis coupled with physical prototyping were used to produce patterns and informed a formal and performative taxonomy.Choreographed Matter contributes to expanding the expressive potential of material-based responsive systems and animation.
Parallel Semi-Supervised Big Data Clustering Based on Mapreduce Technology

In the area of information technology, a speedy sensational technology is big data. Big data brings tremendous challenges to extract valuable hidden knowledge. Data mining techniques can be used over big data to extract valuable knowledge for decision making. Big data results in high heterogeneity because it consists of various inter-related kinds of objects such as audios, texts, and images. In addition to this, the inter-related kinds of objects carry different information. So, in this paper clustering techniques are introduced to separate objects into several clusters. It also reduces the computational complexity of classifiers. A Possibilistic c-Means (PCM) algorithm was introduced to group the objects in big data. PCM replicated the characteristic of each object to different clusters effectively and it had capability to avoid the corruption of noise in the clustering process. However, PCM is not more efficient for big data and it cannot confine the complex correlation over multiple modalities of the heterogeneous data objects. So, a Parallel Semi-supervised Multi-Ant Colonies Clustering (PSMACC) is introduced for big data clustering. Initially, the PSMACC splits the data into number of partitions and each partition is processed in mappers. Each mapper generates a diverse collection of three clustering components using the semi-supervised ant colony clustering algorithm with various moving speeds. Then, a hyper graph model was used to combine three clustering components. Finally, two constraints such as Must-Link (ML) and Cannot-Link (CL) are included to form a consensus clustering. Finally, the intermediate results of each mapper are combined in the reducer. However, the overhead of iteration in PSMACC is overwhelming which affects the performance of PSMACC. So, a Parallel Semi-supervised Multi-Imperialist Competitive Algorithm (PSMICA) is proposed to cluster the big data. In PSMICA, each mapper processes the ICA where initial population is called countries. Some of the best countries in the population chosen as the imperialists and the remaining countries form the colonies of these imperialists. The colonies move towards the imperialists based on the distance between them. The intermediate results of each mapper are combined in reducer to get the final clustering result.
Forecasting the number of foreign tourists visiting Indonesia during the Covid-19 Pandemic

Abstract Purpose: This study aims to predict the number of foreign tourists who come to Indonesia during the pandemic. Research Methodology: Forecasting using the Holt-Winters Multiplicative method and secondary data, namely the number of foreign tourists visiting Indonesia obtained from the website of the Central Statistics Agency. Results: Based on the forecast, in November and December 2021, the number of foreign tourists visiting Indonesia will increase because it coincides with the Christmas and New Year holidays. However, from January-October 2022, the visit rate continued to decline. The possibility of an increase in confirmed cases of COVID-19 due to the December forecast, namely the increased mobility of people to tourist destinations to spend the holiday, could be due to the global economic crisis due to COVID-19 cases. Limitations: The number of foreign tourist visits data on the Central Bureau of Statistics website is only available from early 2017 to October 2021. Contribution: Forecasting results can be used as a reference for the Indonesian government in formulating policies in anticipating the arrival of foreign tourists during the pandemic so that the recovery of the economic sector can be maximized.
Multi-channel interactive interface model for mobile learning terminal by considering user's requirements

In view of the problems of large response delay and poor security in current research methods of mobile learning terminal interactive interface, a multi-channel interactive interface model of mobile learning terminal considering user needs is proposed. According to the C/S model, the interactive interface model is hierarchically divided, which can effectively improve the information processing efficiency of the mobile learning terminal multi-channel interactive interface model. On this basis, the key modules of the model, such as resources, sharing, learning and examination, are designed to consider user needs, so as to realise the function that interviewees can answer questions in a more timely manner and feedback questions to questioners. The experimental results show that the success rate of illegal users is less than 0.05%, the retrieval delay of learning resources is between 50 ms-100 ms, and the retrieval delay of papers is between 120 ms-150 ms.
Enhancing Data Base Security in Cloud Computing

Information security has reliably been a significant issue in data innovation. In the distributed computing condition, it turns out to be especially genuine in light of the fact that the distributed is suitable in better places even in all the globe. Distributed and security insurance are the two fundamental components of client's worries about the cloud innovation. Despite the fact that numerous procedures on the themes in distributed computing have been researched in the two ventures, information security and security assurance are getting progressively significant for the future improvement of distributed computing innovation in government, industry, and business. Information security and protection assurance issues are significant to both equipment and programming in the cloud design. This examination is to survey diverse security methods and difficulties from both programming and equipment angles for ensuring information in the cloud and targets upgrading the information security and protection assurance for the dependable cloud condition. In this paper, we make a relative research examination of the current research work with respect to the information security and security assurance procedures utilized in the distributed computing.
Evolutionary Perspectives

The chapter supplies three areas for further inquiry into postbop composition: tonal vestiges that connect to earlier tonal jazz practices (through bass motion by descending fifth and descending half step); double axis progressions; and contrapuntal organization. It then describes the evolution of postbop jazz through the notion of schema—a prototype, exemplar, or conventional grammatical pattern. For example, the major third axis schema originally appeared within the constraints of tonal jazz conventions (“Smoke Gets in Your Eyes,” “Have You Met Miss Jones”), but once it penetrated to deeper levels of structure (John Coltrane, “Giant Steps”) it became an agent of syntactic change, giving postbop composers a potent point of departure to bypass tonal jazz frameworks.