Reviewerly/exHarmony huggingface dataset:
Development of Virtual Reality Technology in Entrepreneurial Learning Containing Ethnopreneurship

Although many studies on entrepreneurship learning have been conducted, no ethnopreneurship-loaded entrepreneurial learning module uses virtual reality media. This research aims to develop an entrepreneurship learning module with Virtual Reality-assisted Ethnopreneurship. This study adopted the research development of the Borg and Gall model using four stages (data collection, planning, product draft development, and field trials). The data was collected through instruments that included a literature review, an expert validity test, and a questionnaire followed by descriptive analysis. The results showed that developing entrepreneurship learning modules containing Ethnopreneurship assisted by Virtual Reality was effectively used in learning to increase entrepreneurial intentions. Research implications and recommendations are also discussed for future research.
THE APPLICATION OF MACHINE LEARNING ON THE SENSORS OF SMARTPHONES TO DETECT FALLS IN REAL-TIME

With the increasing prevalence of smartphones, they now come equipped with a multitude of sensors such as GPS, microphones, cameras, magnetometers, accelerators, and more, which can simplify our daily lives. When it comes to healthcare, smartphones can become indispensable. The detection of geriatric falls is crucial as even the slightest injury can have fatal consequences. Therefore, we proposed the use of accelerometers in our research to detect falls in the elderly. Our project involved the development of an automated, continuous, and reliable monitoring system that would generate a list of elderly people at risk of falling and present it on a webpage for emergency services. This approach aimed to minimize the long-term impacts and save lives promptly. We started by developing a mobile application and used MATLAB to classify the falls as either "fall" or "not fall." Finally, we created a webpage that would facilitate communication between the mobile application and MATLAB.
Training on Using Prezi as an Innovative Learning Media

The skills of using Information and Communication Technology (ICT) by teachers have a significant influence on the teacher's ability to use appropriate learning media, which is a key factor in the success of the teaching process. Therefore, SMP Negeri 1 Mungka Regency has designed learning that is suitable for the situation after the COVID-19 pandemic. The purpose of this service project is to provide knowledge and training to teachers of SMP N 1, Mungka District, Fifty Cities Regency in using Prezi-based technology as a learning medium. The training begins with an explanation of the relationship between media and learning, as well as the role of the media in the learning process in the post-COVID-19 pandemic era. Then, the training materials cover how to create a Prezi account, how to register for Prezi, how to install, and how to use it in learning. The training method involved questions and answers, hands-on practice, and demonstrations, and evaluation was carried out through distribution of questionnaires before and after the training. The results of the questionnaire analysis showed that in general the participants were satisfied with the schedule and time of the training, as well as with the topics presented. Although some participants experienced difficulties due to inadequate internet connection and devices, there were indications that participants had succeeded in increasing their knowledge and motivation in terms of using Prezi technology as a learning medium. In addition, the simple works of the participants were also considered quite good.
DEAGRICHAIN Blockchain-based solution for agriculture

This research aims to develop a decentralized application (Dapp) for food supply chain traceability using blockchain technology. The Dapp enables consumers to track the journey of their food from the farm to their table, providing transparency and accountability to the supply chain. The Dapp is built on a blockchain platform using smart contracts to record and verify transactions between various stakeholders in the supply chain, including farmers, distributors, retailers, and consumers. Each stakeholder will have a unique identifier on the blockchain, and all transactions will be recorded in a tamper-proof and immutable manner. This work will contribute to the development of a more sustainable and trustworthy food supply chain, promoting ethical and environmentally friendly production practices. The Dapp will also provide opportunities for small-scale farmers and local producers to access larger markets and improve their profitability. Overall, this Dapp will help to create a more efficient, transparent, and accountable supply chain, benefiting all stakeholders, including suppliers, manufacturers, distributors, retailers, and consumers.
PENYAJIAN KEANEKARAGAMAN MAKROZOOBENTOS DI SUNGAI BEREMBANG DALAM MEDIA PEMBELAJARAN ENSIKLOPEDIA PADA SUBMATERI INVERTEBRATA KELAS X SMA

Abstrak. The development of printed media in the form of an encyclopedia was carried out in this study to become a learning solution in schools that still have less IT facilities. Sub material of Invertebrate is one of the materials that is considered difficult because it contains a lot of material and unfamiliar terms, while the lesson hours are few. The inclusion of macro-zoo-benthos diversity in the encyclopedia media for use in schools located close to the aquatic ecosystem is believed to be able to provide more rich concepts for teachers to teach to their students. The success of developing the encyclopedia media as obtained in this study is expected to be able to answer the above problems while at the same time providing a variety of media for the school.Abstract. The development of printed media in the form of an encyclopedia was carried out in this study to become a learning solution in schools that still have less IT facilities. Sub material of Invertebrate is one of the materials that is considered difficult because it contains a lot of material and unfamiliar terms, while the lesson hours are few. The inclusion of macro-zoo-benthos diversity in the encyclopedia media for use in schools located close to the aquatic ecosystem is believed to be able to provide more rich concepts for teachers to teach to their students. The success of developing the encyclopedia media as obtained in this study is expected to be able to answer the above problems while at the same time providing a variety of media for the school.
Mean-reversion based hybrid movie recommender system using collaborative and content-based filtering methods

Machine Learning algorithms have a variety of important applications, and among them, Recommender systems are crucial.The internet hosts an extensive volume of information, making it challenging for users to navigate and find relevant content.Recommender systems have therefore emerged as valuable tools to bridge this gap.They facilitate the connection between users and relevant content by offering personalized recommendations.In recent years personalized recommendation service has become a hotspot of web technology, and is widely used in information, shopping, film and television, etc. [1] .Recommender systems have been proved to be an important response to the information overload problem [17] .In this research paper, we describe our approach for a Movie Recommender System Utilizing Mean Reversion via the Bollinger Bands formulae.Collaborative filtering is a popular technique used in Recommender systems.However, it poses a challenge in the form of the cold start issue, where new users are added to the system without any ratings, and the filter is unable to offer useful recommendations due to a lack of understanding of their preferences.Similarly, newly released movies without any ratings also suffer from the same issue, leading to recommendations reinforcing themselves.To address this challenge, we incorporated the concept of Mean Reversion, which is a fundamental component of Natural Mathematics.Mean Reversion helps in mitigating the cold start issue by bringing new users and newly released movies into the fold of the Recommender system.Mean reversion is a statistical concept that refers to the tendency of a series of values to return to its longterm average after experiencing temporary fluctuations.In the context of Recommender systems, Mean Reversion can be used to address the cold start issue by estimating the average rating for a movie and adjusting it based on a new user's preference.This technique can help improve the accuracy of recommendations, particularly for new users and newly released movies that lack sufficient data.
Simplification or Complexification: Auxiliary Selection and Anti-agreement Effect in Brazilian Venetan

In this paper we discuss a change in the auxiliary selectional pattern of Brazilian Venetan, a heritage Italo-Romance variety spoken in southern Brazil. Venetan varieties display a default form of the past participle in constructions with postverbal subjects and a fully agreeing form in constructions with preverbal subjects: this is true both for the homeland varieties of the language, spoken in northern Italy, as well as for the heritage variety under analysis in this paper, spoken in southern Brazil. A crucial difference emerges in unaccusative constructions: while Italian Venetan uses the same form of the auxiliary BE in presence of preverbal and postverbal subjects, Brazilian Venetan uses a specialized form of the auxiliary in the constructions with default agreement on the past participle, when postverbal subjects are present. We argue that the specialized auxiliary form emerges as a necessary resumption in the case of lack of agreement. The heritage variety becomes, therefore, morphosyntactically more complex than the non-heritage counterpart.
Taking count: A computational analysis of data resources on academic LibGuides

The LibGuides platform is a ubiquitous tool in academic libraries and is commonly used by librarians to compile and share lists of recommended social science numerical data resources with users. This study leverages the machine-accessible nature of the LibGuides platform to collect links to data and statistical resources from over 10,000 LibGuide pages at 123 R1 research institutions. After substantial data cleaning and normalization, an analysis of the most common resources on those guides provides a unique window into the data repositories, libraries, archives, statistical data platforms, and other machine-readable data sources that are most popular on academic library guides. Results show that freely available resources from U.S. government agencies are among the most common to be included on data and statistical resources guides across institutions. Resources requiring paid licenses or memberships for full access, such as Statistical Insight (ProQuest), Social Explorer, and ICPSR are linked to most frequently overall, regardless of the percentage of institutions that include them. Findings also suggest that libraries are more likely to share traditional licensed statistical resources (e.g., Cambridge’s Historical Statistics of the United States) and collections of simple charts and graphs (e.g., Statista) than more robust and complex microdata resources (e.g., IPUMS).
Supervised Learning

The fields of machine learning and artificial intelligence include the subfield of supervised learning, commonly known as supervised machine learning. It is characterised by the training of classification or prediction algorithms using labelled datasets. As more and more data is entered into the model, the model’s weights are adjusted through a process called cross validation until the data fits the model well. Organizations can use supervised learning to find large-scale solutions to a wide range of real-world challenges, including spam classification and removal from inboxes.
Electronic Health Records Rundown: A Novel Survey

Over the years, huge amounts of data are being generated in various sectors. The healthcare industry is one of the largest, and patient medical record data is growing exponentially with time. Medical records are used to track patient and healthcare-professional interactions. Electronic Health Records (EHR) are the computerized version of a patient’s health information. Electronic health records have many benefits. Storage of such large volumes of big data is a challenge. In addition to this, it is equally important to provide the security and privacy of the data. Healthcare can be provided accurately, only when the health information is perfect. In this paper, a few methodologies in data analytics have been used to produce some effective insights.
Study performance indicators covert channels of steganographic systems in telecommunication networks

Composite performance indicators of steganographic systems are investigated, on the basis which a new approach to the construction covert channel models in telecommunication communication networks is proposed. Analytical expressions are obtained for estimating the maximum value covert channel bandwidth when introducing a counteraction method and when changing packet lengths, which allow determining the performance characteristics of the steganographic data hiding system.
THE EFFECT OF THE CHAIN WHISPER GAME ON CHILDREN’S RECEPTIVE LANGUAGE SKILLS

This study aims to investigate the effect of the chain whisper game on children’s receptive language skills. This study used a quasy-experimental design. The population in this study was all the students at Teratai Integrated Preschool in Makassar. With purposive sampling technique, the sample of this study was 12 students that were divided into 6 students in the experimental group and 6 students in the control group. The data was collected by conducting observations, tests, and documentation and then analyzed using descriptive statistical and nonparametric statistical methods. The results showed that the value of Asym (2-tailed) was 0.005 &lt; 0.05, meaning that H1 was accepted and H0 was rejected and indicating that there were differences in receptive language skills between the experimental group and the control group. These results suggest that the chain whisper game has a significant effect on young children’s receptive language skills.
Evaluasi Usability dan User Experience Pada E-Learning Universitas Sriwijaya Menggunakan Metode TUXEL 2.0

The era of technology that continues to grow makes all work in life easier and more efficient. These developments have an impact on the world of education which innovates to create a learning style that can do learning whenever and wherever we want without the limitations of place and time with the help of technology called E-Learning. A website that functions as an E-Learning supporter is called a Learning Management System (LMS). Sriwijaya University already has an LMS called Sriwijaya University E-Learning. There are some problems and difficulties encountered in using E-Learning of Sriwijaya University. This is proven after the researcher conducted a pre-survey. The average answer stated strongly agree that Sriwijaya University E-Learning needs to be evaluated for usability and user experience. Furthermore, from the interview with the Coordinator of Learning Development Center (LP3MP UNSRI), the information was obtained that the need for input from users to make E-Learning better and to know the level of usability of E-Learning itself to continue to be used. The method used in this research is TUXEL 2.0 which consists of three stages namely Usability Inspection, General LMS/Pedagogical Usability Inspection, User Experience Evaluation. The sample used in this study was 150 students consisting of 15 people each per faculty. The result of usability inspection found 50 problems reported. while in General LMS/Pedagogical Usability Inspection there are total 33 problems found and in User Experience Evaluation stage, it is known that all aspect scales are &gt; 0.8 means all aspects have positive level which indicates Sriwjaya University E-Learning is very good
Intrinsic Shape Analysis in Archaeology: A Case Study on Ancient Sundials

The fact that the physical shapes of man-made objects are subject to overlapping influences—such as technological, economic, geographic, and stylistic progressions—holds great information potential. On the other hand, it is also a major analytical challenge to uncover these overlapping trends and to disentagle them in an unbiased way. This article explores a novel mathematical approach to extract archaeological insights from ensembles of similar artifact shapes. We show that by considering all shape information in a find collection , it is possible to identify shape patterns that would be difficult to discern by considering the artifacts individually or by classifying shapes into predefined archaeological types and analyzing the associated distinguishing characteristics. Recently, a series of high-resolution digital representations of artifacts have become available. Such datasets enable the application of extremely sensitive and flexible methods of shape analysis. We explore this potential on a set of 3D models of ancient Greek and Roman sundials, with the aim of providing alternatives to the traditional archaeological method of “trend extraction by ordination” (typology). In the proposed approach, each 3D shape is represented as a point in a shape space —a high-dimensional, curved, non-Euclidean space. Proper consideration of its mathematical properties reduces bias in data analysis and thus improves analytical power. By performing regression in shape space, we find that for Roman sundials, the bend of the shadow-receiving surface of the sundials changes with the latitude of the location. This suggests that, apart from the inscribed hour lines, also a sundial’s shape was adjusted to the place of installation. As an example of more advanced inference, we use the identified trend to infer the latitude at which a sundial, whose location of installation is unknown, was placed. We also derive a novel method for differentiated morphological trend assertion, building upon and extending the theory of geometric statistics and shape analysis. Specifically, we present a regression-based method for statistical normalization of shapes that serves as a means of disentangling parameter-dependent effects (trends) and unexplained variability . In addition, we show that this approach is robust to noise in the digital reconstructions of the artifact shapes.
The Implementation of Inclusive Education by English Teachers to Teach Slow Learners at SMK Negeri 3 Singaraja

Inclusive education has been increasing significantly in Singaraja and helping the students with special needs as well as getting their right to have a proper education. Since inclusive was a new policy in education, new research was needed to find out how the implementation and the obstacles faced in inclusive. This study was aimed at investigating the implementation of inclusive education by English teachers to teach slow learners included in a regular classroom. This research was conducted at SMK Negeri 3 Singaraja as one of the general schools which implemented inclusive education. This research was in the form of qualitative research with a case study method. The data were obtained through document study, interviews, and observations. The findings show that (1) the English teachers used same teachers' preparation and modified some activities in the learning process and used different assessment, and (2) there were also found supporting factors such as complete administration, a good way of transferring knowledge, used different assessment and also found challenging factors in implementing inclusive education such as lack of trained teacher, lack of inclusive policy, and lack of differentiation in instructions. Inclusive education has been implemented at SMK Negeri 3 Singaraja but still has to be improved.
Priority Areas and Challenges in the Digital Transformation of Libraries

Priority areas and challendges in Digital Transformation (DT) of libraries are formulated. It briefly discusses the coordination of DT of libraries on an interagency basis and the development of quality standards for library services, ensuring constitutional guarantees and equal opportunities for citizens’ participation in cultural life, accessibility of cultural goods and services regardless of income level, social status and place of residence. The creation of a system of information and library services not limited by physical barriers, the transformation of municipal libraries into multifunctional intellectual cultural and leisure centres “within walking distance”, and into points of free access to network information resources has been analysed. It is necessary to eliminate the uneven development of libraries in different regions, to develop the professional and intellectual potential of Russian libraries. Modernisation of the approach to the acquisition of library collections, active replication of best practices in the digitalisation of individual library services and the introduction of methods of data mining are also a priority. The system of scientific support for DT processes in libraries should be developed. If the DT of libraries is consistent and effective, a new model of library organization will emerge in the country, involving the DT of this sector as a strategic resource for the new economy and for ensuring the innovative development of Russia. The process of implementing the DT programme for libraries will require the mobilization of all participants in library activities and the growth of social and economic efficiency of librarianship, as envisaged in the currently existing forecast documents.
Software-Defined Quantum Network Using a QKD-Secured SDN Controller and Encrypted Messages

We propose and implement a software-defined network architecture that integrates the QKD SDN Controller within the QKD node, enabling it to use quantum keys to secure its communication with SDN agents while optimizing QKD-keys consumption.
An Analysis of English Article Errors and Pedagogical Implications in Students’ Writing Skill

The study aimed at analyzing a comprehensive account of the dominant type of article errors, finding out the causes of errors, and determining appropriate pedagogical approaches to reduce the errors in students’ descriptive writing tasks. The analysis was based on the Surface Structure Taxonomies of errors comprising omission, addition, and substitution. The data were collected from written samples encountered by 40 first-semester students of Plantation Management, Samarinda State Polytechnic of Agriculture. One of five different topics should be chosen and written by the student in approximately forty-five minutes. The study’s results revealed three types of English article errors that emerged in students’ writing involving omission as the dominant English article error type, addition, and substitution as the second and the third one. The cause of errors emerging in the students’ writing was the first language interference (Indonesian) that strongly influences the process of foreign language (English) acquisition of the articles due to the differences in rules between Indonesian and English structures. Pedagogical implications included a contrastive comparison between languages that may improve learners' ability to instantly recognize differences in article usage between their language systems, conducting simple writing tasks as routine exercises for students, error correction in a flexible way, providing English reading materials and encouraging learners to read the materials extensively.