Reviewerly/exHarmony huggingface dataset:
Is mixed reality technology an effective tool for retail? A vividness and interaction perspective

There is increasing interest in studies analyzing the influence of technologies that integrate virtual and real-world components on consumer behavior. These technologies include augmented reality, virtual reality and mixed reality. Mixed reality is a user environment in which physical reality and digital content are combined in a way that enables interaction with and among real-world and virtual objects. In spite of previous works related with MR and retails spaces, little is known about how consumers respond to MR features and which elements of the MR-based experience, such as vividness and novelty, impact behavior. In this study, we have explored the relative advantage of mixed reality in retail shopping practices over a traditional-based purchase. Implicit reactions of shoppers when interacting with products with and without MR glasses were compared. The results reveal that participants wearing MR glasses exhibited different patterns of interaction (i.e., frequency and interaction with product duration) that differed from those indicated by participants who did not wear the MR technology. At the level of purchase decision, our results show that the use of MR smart glasses has an impact on decision times that relates to a utilitarian purchase type. Based on participants’ explicit answers to questionnaires, the reported findings further show that the perceived hedonic and utilitarian values of the purchase experience were higher when MR was used, which also affected future purchase intentions and perceived emotional state as reported by consumers’ experience and satisfaction in the context of retail.
Sistem Informasi Proses dan Hasil Produksi Berbasis Web

Efficiency is one of the main keys for a company to be able to develop in the industrial era 4.0. In the manufacturing industry, such as company X, which still uses production records, it will be difficult for companies to obtain fast and accurate information. In this paper, an information system is designed and realized to record production processes and results and process them into information that can be used by companies to support decision making. This system is made using PHP language and the result is a web application. Information will be displayed in the form of tables and reports from the relevant documents. The designed information system can increase the efficiency of recording and processing production process information up to 2 (two) times.
CORRELATION BETWEEN VERTICAL DIMENSION OF OCCLUSION AND ANTHROPOMETRY OF FINGER LENGTH

ABSTRACTBackground: Determining the Vertical Dimension of Occlusion (VDO) was one of the procedures required to create a complete denture. VDO was the height of the lower third of the face that connected the distance between the subnation point found in the craniofacial and the gnation point on the mandible. The methods in determining VDO were very diverse, but there were no methods that considered as highly accurate presently. Hence, several methods of determining VDO were needed to obtain more accurate results. The finger length anthropometry method was a method that has been widely used as an alternative method in determining VDO because it was considered accurate, not invasive, cheap, and easy to implement. Objective: This study aimed to determine the correlation between the vertical dimensions of occlusion and the anthropometric length of fingers. Material and Method: The study was conducted by using the literature review method with the narrative review procedure. Research using Google Scholar, Science Direct, PubMed, and Semantic Scholar. Results: The results of the study of 22 articles reviewed had a positive correlation between VDO and all lengths of the fingers of the hand. The finger that had the strongest correlation with VDO in males was the index finger (r=0.804) and in females was the little finger (r=0.937) Conclusion: All fingers could be used as an alternative method in determining the Vertical Dimension of Occlusion.Keywords: Anthropometry, Finger length, Vertical Dimension of Occlusion
Online Learning Motivation of Elementary School Teacher Education Students on The Understanding of Javanese Paramasastra of Perangan Awak Concept

This study aimed to explain in detail how the objective conditions of motivation experienced by students in online learning of Javanese Paramasastra (grammar) of Perangan Awak (part of the body) concept. It is based on the factual conditions of the COVID-19 pandemic, which poses serious problems for face-to-face learning activities in universities. Therefore, online learning motivation is a skill that students must master. This study applied a quantitative approach with a survey method. The research was conducted at University of Nahdlatul Ulama Al Ghazali (UNUGHA), involving 97 4th-semester students in the elementary school teacher education study program. The data collection technique in this study used a survey technique with a Likert scale. The survey was made in a Google form for easy access by students. The data analysis technique employed in this study was to calculate the percentage of data from each indicator, interpret the data presentation scores, and analyze each indicator in depth. This study’s results revealed that the learning motivation of 4th-semester students in the elementary school teacher education program at Nahdlatul Ulama Al Ghazali University was very good, as seen from the percentage of motivation scores, which was 84.07%. Also, efforts to teach the Javanese language to increase students' motivation are to become cool teachers and direct students to practice Javanese Paramasastra of Perangan Awak concept in song covers.
Time Series Forecasting of a Photovoltaic Panel Energy Production

Predicting the energy production for few days horizon is the key for best managements of photovoltaic residential installations. This paper compares two methods for predicting the power output of solar PV system. We first create a database of around 36,000 points by simulating a PV module using a real weather data (hourly measurements of the temperature and the solar irradiance). To make predictions on the PV panel energy production, two techniques were compared: the combination of the discrete Fourier transform (DFT) and an artificial neural network (ANN), and a well new technique, the long short-term memory (LSTM) time series forecasting with a neural network. The results show an accuracy of the DFT-ANN model around 90% of the energy produced for three days horizon (85% as a minimal sporadic value). For the LSTM method, the accuracy is around 92% for 5 days forecasting.
Sistem Informasi Simpan Pinjam Dan Pengelolaan Hasil Pertanian Bumdes Baru Kabupaten Barito Selatan Berbasis Website

BUMDes Baru is a village-owned enterprise established with the intention to improve the welfare of the people of Desa Baru through its main program, namely savings and loans, as well as additional programs in the form of management of agricultural products and village markets. Currently, all activities including savings and loans transactions, PKR levies, facility rentals and making monthly reports for BUMDes are still carried out manually. This resulted in people having to come to the BUMDes secretariat repeatedly in order to take care of loan applications. Therefore, a Website-Based Information System for Savings and Loans and Management of Agricultural Products of New Village-Owned Enterprises (BUMDes) of South Barito Regency was created..&#x0D; The methodology used in the Savings and Loans Information System and Agricultural Product Management of the New BUMDes is waterfall, with stages, namely the Requirements Definition stage which is carried out in making business process designs and flowcharts, System and Software Design is carried out in making Data Flow Diagrams, Entity Relationship Diagrams, Databases and Interface Design, Implementation and Unit Testing with the programming languages ​​used, namely PHP, Javascript, PhpMyAdmin and Integration and System Testing using the Blackbox Testing method.&#x0D; This website is intended to facilitate the public in seeking information about the New BUMDes, facilitating members in conducting savings and loan transactions, leasing facilities and kiosks, PKR retribution transactions, and facilitating the management of BUMDes to be more organized and detailed.
CORRELATION BETWEEN BITCOIN, STOCKS AND GOLD: A MARKOV REGIME-SWITCHING APPROACH

ABSTRACT The following article explores the correlation between bitcoin and both stocks and gold. A Markov regime-switching approach was used to identify and date two regimes in each of these financial assets. Stock returns are characterized by short-lived episodes of elevated volatility and negative returns whereas bitcoin returns are characterized by a persistent high volatility state with positive returns. Gold stayed in the low volatility period most of the time and only a few short-lived episodes of high volatility were identified during the first year of the pandemic. A concordance measure was computed to assess the synchronicity and correlation between the regimes. The regimes of bitcoin and gold are uncorrelated suggesting that bitcoin is not yet perceived as a safe haven like gold. The regimes of bitcoin and stocks were also uncorrelated suggesting that bitcoin may be used as a hedge against stocks. Keywords Bitcoin, correlation between bitcoin and stock market, correlation between bitcoin and gold, Markov regime-switching.
PERANCANGAN SISTEM PRODUKSI DENGAN VERIFIKASI KEAMANAN DATA DI PT DYNALITE INVESTMEN MANDIRI INDONESIA BERBASIS WEB

Currently, high-speed technology, especially computers based on internet technology, and after reviewing the results of PT. Dynalite Investment Mandiri Indonesia found that companies often lose data because the existing file system still uses written media which is then entered into Microsoft Excel, so the data we receive is sometimes inaccurate and not real-time. Based on the problems that have been described, the authors are interested in conducting research on designing production systems with information security controls at PT. Web-based Dynalite Investment Mandiri Indonesia. The design of this system is based on observations, interviews, literature research, SDLC (System Development Life Cycle) analysis methods, and UML (Unified Modeling Language). The results of the author's research are archive websites using PHP (Hypertext Preprocessor) and MySQL as the database and Bootstrap (HTML, CSS, JavaScript) as the user interface. Users of this website include administrators, managers, and directors. We hope that this website can help system administrators in the documentation process.
Searching for optimal experimental parameters with D-Wave quantum annealer for fabrication of Au atomic junctions

Abstract Feedback-controlled electromigration (FCE) is employed to control metal nanowires with quantized conductance and create atomic junctions. The FCE scheme is commonly implemented using many experimental parameters, and determining the optimal FCE parameters can be regarded as a combinatorial optimization problem. The D-Wave quantum annealer has attracted attention for its hardware implementation of quantum annealing (QA), which is a heuristic algorithm for solving combinatorial optimization problems. This study developed a QA approach for optimizing the FCE parameters and executed it on a quantum annealer. The results and performance were compared with those of a classical solver.
Improved Hybrid Model for Classification of Text Documents

All universities in and around the globe have senate members whose responsibility is to deliberate on matters that affect the smooth running of the university in senate meetings, such matters include, personnel, management, and student matters. Reports are generated at the end of each senate meeting on these matters and are printed on paper or stored in the system without proper grouping of the matters as a result of lack of efficient classification model. This paper proposes hybrid machine learning and deep learning models for the development of efficient classification model for textual documents and tested with reports from senate deliberations from university of Port Harcourt. The dataset for over ten years was collected and pre-processed, noise and other non-alphanumeric values removed by tokenization. Principal component analysis algorithm which is a machine learning approach was used extensively for feature selection and LSTM a deep learning architecture was used to build the model which has the capacity of retaining the content in its memory for a long time which solves the challenges of memory retention in other models. The model built depicts classification accuracy of 99% and the classification application was able to classify decisions made by the senate into different categories which will assist to eliminate conflicting decisions on the floor of any university senate.
DEVELOPING LEADERSHIP BEHAVIOR SKILLS IN FUTURE SPECIALISTS

This article contains the results of a pedagogical study on the development of leadership skills among students of higher educational institutions. The conceptual apparatus highlights such concepts as «leadership», «leadership behavior». Our study considers the social and activity aspect of the leadership behavior of students as future specialists. The theoretical part was made up of the scientific positions of such scientists as A.V. Petrovsky, N.V. Kuzmina, K. Levin and others. Practical part – the results of a pedagogical experiment conducted at Baishev University and K. Zhubanov Aktobe Regional University. Through leadership potential, in general, we understand that a person has a set of qualities that allow his behavior to stand out from others in more advantageous positions. The main purpose of the authors is to disseminate the results obtained, to generalize the best pedagogical experience. The work used general scientific methods of scientific research: bibliographic search, collection and analysis of statistical data, ranking method, group discussion, survey, questioning, testing, etc. The methodology for determining leadership abilities (E. Zharikov, E. Krushelnitsky) and the «I am a leader» test (A.N. Lutoshkin), a sociological survey, became diagnostic methods. The results of the study were a system of special work on the development of leadership behavior skills among students – a set of methods and techniques carried out in practical classes of academic disciplines, the functioning of the Young Leader School.
Application of x-means alghorithm for district/city clustering based on povetry rate in Maluku Islands and Papua

Based on the Central Statistics Agency in 2022, the percentage and number of poor people according to islands in March 2022 explained that the largest number of poor people are on Maluku Island and Papua, 19.89 percent. This research used data mining techniques with the X-Means Clustering method. The data in this study was taken from the website of the Central Statistics Agency (BPS) of Maluku, North Maluku, Papua, and West Papua consisting of 63 regencies/cities with 8 variables. Then all the data was processed with Rapidminner and produced 3 clusters, namely cluster 0 consisting of Buru, Western Seram, Central Halmahera, Sula Islands, South Halmahera, North Halmahera, East Halmahera, Morotai Island, Jayapura, Nabire, Biak Numfor, Paniai, Pucak Jaya, Mimika, Tolikra, Nduga, Puncak and Manokwari. Cluster 1 consists of Tanimbar Islands, Southeast Maluku, Aru Islands, Eastern Seram, Southwest Maluku, South Buru, Tual, West Halmahera, Taliabu Island, Ternate, Tidore Islands, Yapen Islands, Boven Digoel, Mappi, Asmat, Star Mountains, Sarmi, Keerom, Waropen, Supiori, Mamberamo Jaya, Central Mamberamo, Yalimo, Dogiyai, Intan Jaya, Deiyai, Fakfak, Kaimana, Wondama Bay, Bentuni Bay, South Sorong, Sorong, Raja Ampat, Tambrauw, Maybrat, South Manokwari and Arfak Mountains and cluster 2 consisting of Central Maluku, Ambon, Merauke, Jayawijaya, Yahukimo, Lanny Jaya, Jayapura City, and Sorong City.
Assignment Submission

Abstract: In every branch, teachers have to take submission of micro project. For that they message in students WhatsApp group, for that they need a specific student phone number and it take much time, in our web application teachers have to create an class folder and add students from college login details. After all process, teachers have to just deliver one message in created folder about micro project. This will reduce teacher’s time as well as they don’t have to add a many phone numbers of students. In our web application, teachers will also chat with students, if he/she gets confuse about student, if he/she student don’t give proper ppt/source code to teachers. With this teachers don’t have to share their phone numbers with anyone students. Firstly student will form the group and decide their title then they will submit it. After submitting, it is visible to the teacher. Once completing the project, student will upload the report and the zip file of their project. Then teacher can see and give the Mark's.
The Use of Situational Tasks in Chemistry Lessons as a Means of Forming Universal Educational Actions of Students

When situational tasks in chemistry are used in the educational process, universal educational action is formed – the ability to conduct research work. Each situational task compiled by a student can be considered as a mini research project. When drawing up such tasks, students learn to set goals and outline ways to implement them (regulatory universal educational actions). When working with situational tasks, school students learn to apply subject knowledge in non-standard situations close to real life. Therefore, an increase in the level of success in working with situational tasks leads to an increase in the level of formation of this universal educational action. The analysis of the results of the ascertaining stage of the study indicates the predominance of reproductive and partially search levels of students' ability to work with information (information competence), as well as a low level of success in working with situational tasks and, accordingly, a low level of formation of communicative competence. The analysis of the results obtained by us in the control and experimental groups at the ascertaining and formative stages of experimental work allows us to conclude that the formation of universal educational actions of students proceeds more effectively when implementing a structural and functional model of the formation of universal educational actions of students through the use of situational tasks in chemistry in the educational process.
‘SORT BY RELEVANCE’ – WHOSE RELEVANCE? A CRITICAL EXAMINATION OF ALGORITHM-MEDIATED ACADEMIC LITERATURE SEARCHES

The academic literature has arguably never been more accessible. Through the internet, academics - and the wider public - are presented with an increasing array of platforms which offer sources of academic literature and information sources. Large-scale platforms – such as Google Scholar – often utilise algorithms in order to manage how search query results are prioritised and presented to searchers. This ‘sorting by relevance’ introduces an opaque layer to how readers engage with the literature, with potentially important implications for academic rigour and equity. Academic publishing and citation practices often serve to preserve privilege; in turn, there is a risk that algorithms which draw upon data sources such as these will compound biases. There is a need to interrogate how such algorithms work, and academics’ assumptions about the mechanisms behind them. This paper starts a critical discussion of the issue of algorithm-mediated academic literature searches. First, it draws upon the existing literature – primarily related to Google Scholar. This is followed by a mapping of the use of algorithms across a sample of major academic databases. Algorithms are found to be used extensively, although how they operate varies and is often not clear. The paper concludes with next steps for this project.
IMMIGRANT TIKTOKERS DECOLONIZING ALGORITHMIC VISIBILITY

Immigration is deeply rooted in colonial structures that define who migrates and where, through a hierarchized perspective of the representations, knowledge, and ideas. It is possible to extrapolate these societal requirements to the digital space of social media platforms, where a combination of human and algorithmic moderation systems determine what is available, visible, and viral. Thus, colonial structures of dominance are perpetuated through coded biases and algorithmized oppression systems. The internal functioning of these moderation infrastructures is obscure, although we can glimpse at them through the contents and discourse of creators who describe their experiences with the platform, its algorithm, and the moderation policies that shape and affect their content creation practices. In this paper, we illustrate the different vernacular and platformed practices of immigrant content creators who portray the ways in which they negotiate their visibility with TikTok and its algorithmic system. The examples were extracted from a larger study that comprises 57 Latin American immigrant tiktokers who reside in the US and Spain. We use the concept of algorithmic (in)visibility as the basis for the study. The initial findings suggest that these creators deploy platformed practices such as the (re)use of audio tracks for visibility and protest; the use of TikTok vernaculars such as humor and sarcasm to convey controversial ideas; and partial deplatforming to protest the blockage of their profiles on TikTok. These practices provide insights about the decolonial negotiation of algorithmic (in)visibility taking place on social media platforms today.
COVID ONLY ON THURSDAYS: DEALING WITH AN INFODEMIC IN LANGUAGE- AND REGION-BASED ONLINE COMMUNITIES

Facing the ‘infodemic’ accompanying the coronavirus pandemic, many online communities were faced with questions of how to organize and moderate a deluge of information regarding the virus. On the social media platform Reddit, new communities (subreddits) about the virus quickly emerged. Accompanied by some negotiation and contestation, r/coronavirus eventually became the official platform-wide information channel about the pandemic. However, many existing subreddits nevertheless had to decide how to deal with the topic. Should they ban it from their community and refer to the official subreddit, allow the topic without restrictions, or adapt existing moderation mechanisms to the evolving situation? New localized communities emerged for discussing the course of the pandemic in particular countries or regions. Additionally, communities in languages other than English were facing challenges in dealing with covid-19 content. In this submission, I explore moderation strategies in several region- and language-based subreddits to examine how rules in existing online communities were changed in the light of pandemic information.