Reviewerly/exHarmony huggingface dataset:
Marker-Based Augmented Reality for Exhibition in Higher Education

Nowadays, popularity in using AR (augmented reality) for artworks has increased.The technology offered by AR capable of making the audience becomes more interactive to apappreciate artworks.Responded to this popularity, this research analyzes the uses of marker-based AR for exhibition on art and design in Higher Education using visitor mobile devices.It aims to find an advantage and limitation on using marker-based AR technology for exhibition in higher education based initial theory and case study.The method used in this research is descriptive qualitative.The study conducted at the Aralana Exhibition, Trilogi University, as a case study of student and lecturer exhibitions in Higher Education.The finding of the research confirms a positive influence on the student as a visitor.AR technology stimulates the student experience to appreciate art and design by interactive with their mobile devices and motivate them to learn the technology.However, there is a limitation and challenge in art as an AR marker, requirements on exhibition guide, and availability of internet connection.With this finding, it is encouraged for artists and designers to collaborate with across disciplines so they can contribute to exploring the potential of using AR for artworks.
Analysis of Crop Pattern Plant and Irrigation Water Needs in Pauh Tinggi Irigation Network Planning, Pauh Tinggi Village, Kerinci District, Jambi

Pauh Tinggi irrigation network planning which has an area of irrigation land of 473 ha. This irrigation plan draws water from the Pauh Tinggi Dam located in the Batanghari Hulu river, Kerinci Regency, Jambi. Population growth which is directly proportional to the increasing necessities of life, one of which is in the food sector, has made the government take the initiative to meet the needs and welfare of the community by opening land into productive areas of rice fields and fields, and making irrigation plans. In making irrigation planning, hydrological and rainfall calculations are needed to be able to make the right cropping system for farmers in Pauh Tinggi Village, Kerinci Regency, Jambi. A calculation of 17 alternative cropping patterns with different types of plant variants and different plans for the initial planting period were carried out by comparing with the mainstay debit factor (Q80). It was found that the cropping pattern is very possible always using the RICE-RICE-CROP cropping pattern. The most efficient and optimal planting pattern is the alternative planting pattern 14 in the form of RICE -RICE-CORN with Netto Field Water Requirements in tertiary plots (NFR tertiary) ranging from 0 - 1.30 ltr / sec / ha with a maximum of 1.30 ltr / sec / ha in January I, while irrigation water needs in the intake (DR intake) range 0 - 1.60 ltr sec / ha with a maximum of 1.60 ltr / sec / ha in January I.
Towards Visualizing Code Annotations Distribution

Java developers make extensive use of code annotations sincetheir introduction in version 5 of the language. They areinserted directly on the source code for custom metadata configuration,similar to C# attributes. The software engineeringcommunity has few works investigating their usage and impacton source code. Being able to visualize characteristics ofcode annotations might aid developers in detecting potentialmisuse, outliers as well as increase the comprehensibility andreadability of the source code. In this paper, we present anapproach to use software metrics to generate a 2D polymetricview targeting the visualization of code annotations in Javaclasses. We developed a prototype tool using the Unity GameEngine. It displays classes and packages as rectangles andannotations as circles. We demonstrated the tool with a smallsample Java program.
AVERAGE WORD LENGTH AND TEXT REDUNDANCY VARIABILITY: FRENCH TEXTS CASE STUDY

The redundancy and average word length correlation in French texts have been researched.This correlation has been evaluated on the basis of analysis of entropy, redundancy and average word length for literary, scientific, and publicistic texts.It has been revealed that the variability of text redundancy correlates well with the variability of average word length, if calculating the average word length of an individual text we exclude the length of words belonging to the exponential tail of entropy curve.In this regard it is proposed to distinguish between two average word lengths of text: the average length of a word belonging to the exponentially decaying tail of entropy and the average length of a word not belonging to the exponential tail of entropy.
SCIUloT: Sistema de Combate aos lncendios Urbanos por meio daloT

The Internet of Things (IoT) is a communication paradigm that aims to cover the current Internet. In this sense, IoT covers a large space in the daily life of human beings, whether in the academic field or in the industrial sphere, therefore, there are smarter cities, health and automation of environments. Through the IoT it is possible to connect the objects of the everyday world to the Internet, in order to make these objects communicate with each other and with users. This work presents the way in which the IoT can corroborate in the fight against Urban Fires, through a system that interacts sensors, microcontrollers, the user and the Fire Department. The use of sensors that collect information about a certain location, send it to a controller board, which in turn forwards that information to the server, which directs the information to the user and the Fire Department, is the mechanism that will allow firefighters to be alerted to the incident. In this way, the work of the competent bodies can be made more effusive and, therefore, prevent the spread of fire in order to fight fires. It is worth mentioning that the rapid action of firefighters is extremely important, as the fire spreads quickly and produces incalculable damage.
Open Polar: a discovery service covering the global output of openly accessible polar research data and publications

Data from the Polar Regions are of critical importance to modern polar research. Regardless of their disciplinary and institutional affiliations, researchers rely heavily on the comparison of existing data with new data sets to assess changes that are taking effect. However, in a recent survey of 113 major polar data providers, we found that an estimated 60% of the existing polar research data is unfindable through common search engines and can only be accessed through institutional webpages. Moreover, a study by Johnson et al. (2019) showed that in social science and indigenous knowledge, the findability gap is around 84%. This results in an awareness of the need of the scientific community to harvest different metadata related to the Polar Regions and collect these in a homogenous, seamless database and making this database available to researchers, students and the public through one search platform.This contribution describes the progress in an ongoing project, Open Polar (https://site.uit.no/open-polar/) started in 2019 at UiT The Arctic University of Norway. The project aims to collect metadata about all the open-access scholarly data and documents related to the Polar Regions in a homogenous and seamless database. The suggested service will include three parts: 1) harvesting metadata; 2) enriching and filtrating of the harvested metadata relevant to Polar Regions; and 3) making the collected records available and searchable to the end-users through an interactive user interface. The service will help to make the polar related research data and documents more visible and searchable to the end-users and thereby reducing the findability gap.
Scientific concepts and basic principles of transmedia projects (concepts of Robert Pratten and Jeff Gomez)

The study of different media, the study of their nature and features in the digital era is of great importance for understanding the trends in the functioning of the media and forecasting future de-velopment. Determining the benefits and negative consequences of information technology for society and people, identifying the causes of media processes occurring in today’s world are becoming impor-tant issues on the agenda. The purpose of this article is to identify ways to solve the key problems of the domestic media space by analyzing the scientific concepts and basic principles of transmedia. Analysis of the role of transmedia in the development of domestic information technologies and new media. &nbsp; The scientific and practical value of the study is to determine the importance of transmedia strategies in the digital age, the study of its conceptual foundations. To ensure the accuracy of scientific forecasting, it is important to consider the influence of advanced information technologies on the communications system. The value of the article. The article analyzes and systematizes the scientific concepts of interna-tionally recognized experts in transmedia technologies and transmedia storytelling. Recommendations for analyzing interrelated processes in the field of information and communication technologies are proposed. The author used effective scientific methods necessary for identifying and predicting political and communicative processes. The article is written with the aim of promoting research on the development of society, the preservation of national identity in the era of information and technological transformation.
PLATFORMIZING KNOWLEDGE: MESS AND MEANING IN WEB 3.0 INFRASTRUCTURES

This panel focuses on the way that platforms have become key players in the representation of knowledge. Recently, there have been calls to combine infrastructure and platform-based frameworks to understand the nature of information exchange on the web through digital tools for knowledge sharing. The present panel builds and extends work on platform and infrastructure studies in what has been referred to as “knowledge as programmable object” (Plantin, et al., 2018), specifically focusing on how metadata and semantic information are shaped and exchanged in specific web contexts. As Bucher (2012; 2013) and Helmond (2015) show, data portability in the context of web platforms requires a certain level of semantic annotation. Semantic interoperability is the defining feature of so-called "Web 3.0"—traditionally referred to as the semantic web (Antoniou et al, 2012; Szeredi et al, 2014). Since its inception, the semantic web has privileged the status of metadata for providing the fine-grained levels of contextual expressivity needed for machine-readable web data, and can be found in products as diverse as Google's Knowledge Graph, online research repositories like Figshare, and other sources that engage in platformizing knowledge. The first paper in this panel examines the international Schema.org collaboration. The second paper investigates the epistemological implications when platforms organize data sharing. The third paper argues for the use of patents to inform research methodologies for understanding knowledge graphs. The fourth paper discusses private platforms’ extraction and collection of user metadata and the enclosure of data access.
DESIGN AND IMPLEMENTATION OF LEARNING TOOLS TO READ THE BRAILLE LETTERS BASED ON VOICE PROCESSING AND ARDUINO USING MEL FREQUENCY CEPSTRAL COEFFICIENT AND K-NEAREST NEIGHBOR METHOD

Ability to read Braille is critical skill for blind students. Without the skill, blind students would encounter difficulties in their learning activities because most learning materials are written using the Braille system. The currently applied Braille learning system uses printed paper that is time consuming and pricey. This research attempts to develop a tool for helping the blinds to learn how to read braille letters. The tool processes inputs in the form of speech signal into a text by applying Mel Frequency Cepstral Coefficient (MFCC) as a feature extraction method and K- Nearest Neighbor (KNN) as a classifier method. The text will subsequently be transformed into Braille pattern by using Arduino UNO. The test results discover the combination of Mel Frequency Cepstral Coefficient and K-Nearest Neighbor method are able to recognize the speech signal of different alphabets with 87,3% accuracy. Furthermore, the computing time for alphabet recognitions decreases 85 % when the device is applied This finding helps the blind students to recognize the alphabets easily and faster.
Peningkatan Hasil Belajar melalui Model Group Investigation Berbantuan Media Poster pada Siswa Sekolah Dasar

This research is based on the reality that in State Elementary School 03 of Sukoharjo, learning was carried out in the method for all lesson. It made students to be passive in learning thus resulting poor learning outcome.This study aimed to describe the improvement of student learning outcome with group investigation model assisted by poster in theme 6 “Heat and its Transfer” in fifth grade of State Elementary School 03 of Sukoharjo. This study was classroom action research which was conducted in a number of 14 students. This research was conducted in two cycles where each cycles consisted of four stages of planning, implementation, observations, and reflection. Data collection was obtained through test, observation, interview and documentation. The data was analysed quantitatively and qualitatively The result showed an increase in students learning outcomes in aspects of knowledge, attitude, and skills. Students’ learning outcome in aspect of knowledge have increased from 71,42% in the cycle I to be 92,85% in cycle II. In aspect of attitude, students, learning outcome have also increased in cycle I by 71,42% to be 89,28% in cycle II. Students’ learning outcome also increased in aspect of skills by 74,99% in the cycle I to be 89,28% in cycle II. The results indicated that the use of Group Investigation with Poster media can improve the students’ learning outcome in knowledge, attitude and skill aspects in elementary school level.
EFFECT OF ALKALI TREATMENT ON THE TENSILE STRENGTH OF LIDAH MERTUA FIBER/ POLYPROPYLENE RECYCLED BIOCOMPOSITE

The purpose of this study was to determine the effect of alkali fiber treatment on the tensile strength of composites. The material in this study was recycled polypropylene from plastic beverage glass and lidah mertua fiber with a fiber length of 180 mm, fiber treatment using 5% NaOH and without treatment. Composite specimens were prepared using the hot press method at 170oC for 120 minutes. Tensile testing with the dimensions of the test specimen refers to ASTM D-638. The results of the test carried out the maximum tensile strength value of 71,606 MPa in fiber with 5% alkali treatment. The tensile strength of composites with alkali treatment increased 223% compared to the tensile strength without alkali
Sebuah Kerangka Kerja untuk mengembangkan e-Tracer study berbasis Sistem Cerdas

Tracer studies are a method used by tertiary institutions to track, monitor, and supervise graduates that have been produced by tertiary institutions. These activities can make a performance measurement related to the implementation of education so far. Currently, the tracer study has been developed to become a system that can provide decisions and measure graduates using an intelligent agent (AI). In this study, the authors used a descriptive research method, namely developing an information system based on existing data and developed using PHP software, and the Dynamic System Development Method (DSDM) is a system development method. Researchers have implemented an AI integration framework in a web-based tracer study architecture. System evaluation is used as the next research iteration of the proposed decision support system, this study also aims to monitor graduates. With the existence of an intelligent system-based e-tracer study, it has become an evolution in studying artificial intelligence to support monitoring and as a tool in increasing graduates in Higher Education.Keywords:Systems Framework, Tracer study, Intelligent Systems, Web
Putting Crossref Metadata into Context

At Crossref, we see a future where society benefits from an open scholarly infrastructure in which all research is connected and preserved. This will enable researchers to build upon knowledge, ensure greater discoverability and dissemination of research, and aid decision-making for funders, with better evaluation and tracking of research impact. This short talk aims to deepen the understanding of the power of good metadata, by explaining how it can be harnessed to improve discoverability of content, and how it is used in the creation of collaborative tools and initiatives for the research community.&#x0D; Persistent identifiers (PIDs) enable clear disambiguation and persistent links to be made between researchers, their affiliations, funding and contributions. However, membership at Crossref is not just about creating identifiers for content. It is about placing that content into context and a DOI is simply one small, but important, piece of the puzzle. Crossref works in collaboration with individuals and organizations to collect extensive metadata, both bibliographic and non-bibliographic. The breadth of the metadata Crossref supports is capable of expanding over time to respond to community needs e.g. incorporating CRediT for contributor roles. It’s also key that the metadata is made openly available; comprehensive, open metadata guarantees interoperability across borders, disciplines, research outputs and organizations. It is also essential for building scalability and improving efficiency via collaborative initiatives such as the Research Organizations Registry (ROR), ORCID auto-update, and the new DataCite Commons. &#x0D; Crossref has minimal requirements in order to support a variety of publication practises and the schema can support a diverse range of content types and associated metadata. All of the metadata received is standardized and machine readable; the more complete this metadata is, the more likely content can be discovered and disseminated. Whenever you submit metadata to Crossref, DataCite, DOAJ or other organizations, the metadata you deposit should be accurate, complete and up to date. Accuracy is important as misspelled author names, incorrect dates, missing license information or bad URLs, undermine the usefulness of shared services, as well as being a pain for readers and authors. &#x0D; There remains a lack of knowledge about the value and importance of quality metadata. Machine-readable metadata and identifiers underpin both Crossref tools and services, and those developed by the wider community. I’ll detail examples of the applications of scholarly metadata to make this case, show how publishers can see the metadata they’re registering and suggest some quick fixes to getting more from your Crossref metadata.
Exploring the Use of ESL Composition Profile for College Writing in the Indonesian Context

Assessing writing is a demanding task. If a lecturer of writing is not prepared with a reliable scoring rubric, the studentsâ€™ real performance might not be known. One of the well-known English as a second language (ESL) writing rubric is the Jacobs ESL Composition Profile which was developed by Jacobs, Zingraf, Wormuth,Â Hartfiel,Â &amp;Â Hughey in 1981, known as Jacobs ESL Composition Profile. This scoring rubric is popular among writing teachers and researchers to score studentsâ€™ composition. The present study is intended to 1) find out the internal consistency between raters who use the scoring rubric to assess the studentsâ€™ essay, and 2) describe the level of the studentsâ€™ writing performance when assessed by using Jacobs ESL scoring rubric, and 3) describe the ratersâ€™ opinion when using the profile. The study uses descriptive quantitative design. The instruments to collect the data are documentation and interview. The data were collected in three months, from February to April 2020. The subjects of the study were two writing lecturers who taught English as a foreign language (EFL) and became raters for a research grant. The raters were asked to score 37 essays of the fourth-semester students.Â Â The result of the study shows that there is internal consistency between rater 1 and rater 2 when scoring the studentsâ€™ essay by using Jacobs ESL Composition Profile is high (r. = 0.674, Î± = 0.00 &lt; 0.05). The Cronbach alpha analysis also shows 0.722 which indicates a strong and high level of consistency. The studentsâ€™ writing performance fall in the average â€“ good (moderate) level (49%), very good (high) level (40%), and only five students (11%) fall in the below-average â€“ poor (low) level category. The result also reveals that Jacobs ESL Composition Profile is considered reliable to score essays even though it requires skills and practice because of its detailed description
IMPLEMENTATION OF K-MEANS ALGORITHM FOR INFORMATION TECHNOLOGY FRESHMAN CLASS DIVISION

Almost all universities divide their IT freshman into classes randomly or based on students score, either their score during the selection test held by the university or National Examination score. Universities often find case that a class consists of all ‘smart’ students and a class consists of all ‘lazy’ students. This thesis intends to create an application to help universities divides their Information Technology freshman into classes based on freshman competency and experience about Information Technology (IT) on the senior high school. The experiment is conducted by collecting data IT students who are not in the first semester. The data consists of their experience about IT as well as other knowledge fields and their current GPA. The results of the experiment show that from 50 data samples collected, the application correctly predicts 34 students GPA range based on respondents competency with IT and other knowledge fields during their study in senior high school.
Collaborative Filtering Based on a New Matrix Factorization Algorithm

Online platforms such as Facebook, Netflix and Amazon, provide users with information on products or services that matches their interests or backgrounds. As one of the most popular services over online platforms, recommendation system has attracted increasing research efforts recently. Among all the recommendation tasks, an important one is item recommendation over high spectral data. Existing recommendation techniques are not effective for handling users with diverse interests. In order to further improve the accuracy of system recommendation, this paper proposes a new algorithm based on matrix decomposition, which takes the reviews among users as auxiliary information. In the algorithm, the item rating matrix and the user rating matrix form a large matrix, and the matrix is decomposed by a random gradient descent method. Finally, the experimental results show that the proposed algorithm has good prediction effect, and its performance is significantly better than the existing related algorithms.
Analysis of multilayer perceptron based approach in studying brain neuronal connectivity networks

In this paper, we present an analysis of modern tools for processing brain neuronal connectivity graphs - feed-forward artificial neural network. Different configurations of multilayer perceptron were considered and tested against an inference of functional dependence in model systems, specifically on Rossler oscillators generated data. Graphs of training, test and dynamics were considered. Furthermore, analysis and comparison of the r-squared scores and executed time were collected to measure the efficiency of the configurations.