Reviewerly/exHarmony huggingface dataset:
Utilization of Blockchain with Internet of Things in Food Supply Chain

The prevention of food loss throughout the supply chain has become a major challenge all over the world.It was reported that about one-third of the produced food has been wasted yearly.Therefore, Food quality and safety issues have growing concern from society.Recently, digital technologies can contribute to a more efficient and secure food supply.The integration of blockchain and internet of things is one of the digital innovations that has enormous potential to create the data-driven food supply chain and also protect and trace the source of food.The objective of this paper is to provide analysis of current state of traceability systems in food supply chain based on the blockchain and internet of things technology.Moreover, the paper investigates the feasibility and development of such innovation in developing countries.
User Satisfaction Analysis of E-Learning Using End User Computing Satisfaction in Covid 19

Scele is a distance learning media used online by students of Poltekkes Kemenkes Riau during the Covid-19 pandemic.All lecture activities such as teaching and learning, quizzes, assignments, and other lecture activities are carried out through SCELE.In its operation, there were a number of problems felt by students that attracted the interest of researcher to conduct research on student satisfaction with SCELE.This research was conducted at Poltekkes Kemenkes Riau with the aim of identifying user satisfaction with the system.This study uses quantitative methods and uses the EUCS model.The population in this study amounted to 887 students.After calculating using the Slovin technique with a margin of error of 10%, the sample is 90 people and the sampling technique is accidental sampling.Process data analysis using PLS-SEM with SmartPLS 3.0.The results obtained are ease of use (EOU) and content (CON) affect user satisfaction while accuracy, format, and timeliness have no effect on user satisfaction.
Chatbot Platform Selection in Marketplace using AHP-TOPSIS Methods: A Case Study in Indonesia

A chatbot is the most recent application which can optimize service distribution to the customer by minimizing the communication with live human agents in the first level.Chatbot's conversation could be applied via text or text-tospeech or voice.The marketplace growth itself is mounting in past years.The main purpose of this paper is to consider the best chatbot platform using Analytic Hierarchy Process (AHP) combined with Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods for the marketplace in Indonesia.Thus, the marketplace could gain a competitive advantage and achieve customer satisfaction with responsive service delivery supported by a selected chatbot platform.
Inherent Factors Affecting the Effectiveness of Maintenance Using Root Cause Analysis. A Case Study

The downtime experienced in the Nigerian manufacturing sector has become a threat to its existence due to the cost implications.Despite different maintenance strategies, the results have not been too promising, hence the need to understand the factors causing downtime and effect on machine availability.Root cause analysis of two years breakdown data of a Beverage Company in Nigeria using the Five Why approach reviews that man and method are the predominant cause of failures in a production system which are both a measure of the organizational workforce competency.The result shows that 95 per cent of the total downtime was due to man and method problems while a cumulative of 92 per cent of the total number of failures could be linked to man and method.Man and method issues are functions of skill of the workforce with the effect is obvious in the percentage of breakdown and the incurred downtime in restoring the failure on a machine.
Smart City Dimensions, E-Service Quality and Public Satisfaction in UAE: A Confirmatory Factor Analysisl

Several governments worldwide, including the UAE, are faced with an increasing challenge of urbanisation in social spaces.Resorting to smart cities to resolve urbanisation, the UAE, and the Abu Dhabi Emirate has made significant strides in this regard.An integrative model for improved public satisfaction with the initiative is considered important.However, there is no empirical study that validate the measurement models for such integrative model.Accordingly, this paper conducted a confirmatory factor analysis for the measurement models of the smart city technology dimension, human dimension and institutional dimensions, e-service quality, public satisfaction, trust and policy domains which are the input of the integrative structural model.Particular reference is made to the eservice initiatives of 'TAMM' and Jobs Abu Dhabi.A quantitative research method was adopted, considering a sample of 384 users of the two selected smart service initiatives.The finding of the research suggest a good fit with the following indices; CMIN = 553.724,AGFI = 0.877, RMSEA = 0.050, df = 277, PGFI = 0.713, CAIC = 1033.501,P = 0.000, NFI = 0.919, MIN/DF = 1.891,RFI = 0.905, RMR = 0.039, TLI = 0.953, GFI = 0.903, and CFI = 0.960.concluded that the smart city technology dimension, human dimension and institutional dimensions, e-service quality, public satisfaction, trust and policy domains are distinct and valid measurement models that can be used for the development of integrative model for Abu Dhabi, UAE smart city initiative.
Improved learning in the irrigation course using blended teaching

Irrigation is important for food sovereignty in the world. Therefore, it is necessary for civil engineers to acquire the competence for the design of pressurized irrigation systems. One of the ways to do this is with active methodologies such as hybrid methods, which have been used in various technical careers. The present research work aims to improve learning in the Irrigation subject of the Civil Engineering course at the Universidad Técnica Particular de Loja. For this purpose, Flipped Classroom and Problem Based Learning are used to carry out the hydraulic design of an irrigation network. In a preliminary and asynchronous way, the students reviewed the theoretical foundations of the subject that were inserted in a virtual tool. And through the development of a group project, it was possible to acquire the competence to design a real irrigation network. The results were very promising and are evidenced in the network designs made by the students.
An Adaptive Sample Assignment Network for Tiny Object Detection

Tiny objects often have a small proportion of pixels in the image, leading to significant differences in the number of positive and negative samples and the lack of feature information. Accurately determining the position and category of tiny objects remains a huge challenge for object detection research. Therefore, we design an Adaptive Sample Assignment Strategy(ASAS) and tiny object focusing enhancement module to solve the above two problems. Specifically, starting from the study of positive and negative sample selection and balance strategies for tiny objects, we construct a lightweight Object Existence Probability Determination Network (OEPD-Net) to focus on the areas where tiny objects exist, and achieve adaptive assignment and balance of samples. A top-down, layer by layer focusing enhancement module is designed to effectively enhance the propagation ability of high-level semantic information for tiny objects. The above two solutions have excellent generalization and migration capabilities and can be applied to any stage and two-stage object detection network, effectively enhancing TOD performance. Finally, this paper provides a performance analysis of detection performance the detection network based on the OEPD-Net output results, and demonstrates the effectiveness of the proposed OEPD-Net and focusing enhancement module through extensive experiments on a public dataset.
Subsequent Measurement of Tangible Fixed Assets: Past, Present and Future

This article addresses the subsequent measurement of tangible fixed assets over the last few years. A literature review and an analysis of the different accounting standards made it possible to draw conclusions about the monitoring of standards in the face of the growing demand for accounting information. Evolution is one of the factors influencing the changes in accounting standards, and higher education schools must be the starting point of such changes. In the 5.0 era, this will undoubtedly be one of the topics that will undergo accounting changes, namely due to the automatisms that exist today, since many of the options foreseen in the normative require deep analysis depending on the type of entity.
Web-based Application for Savings and Payment Management using CodeIgniter case study Elementary School

Schools often face problems in manually recording student contributions and savings: ineffectiveness, inefficiency, and inaccuracies in recording, calculating, or the three data are needed again. In this study, we offer Savings Management Information Systems (SiMantab), which aim to solve these problems. In order to realize the research objectives, we proposed to apply CodeIgniter to develop SiMantab for recording student data, student guardians, information on savings, reports on student transactions, and payments. The outcomes of this research are: 1) SiMantab can generate daily savings reports for each student and provide reports for student guardians'; 2) SiMantab allows student guardians to monitor payment activities such as tuition fees in auto debit savings; 3) SiMantab is able to convey information bills statement on the student guardian's menu; and 4) The school obtain information on students' payments record based on the student data such as gender and class displayed on the supervisor's main menu.
Basic Axiomatic Particle with CPT conservation

&lt;p&gt;Currently defined basic particles of the physical universe can be explained in axiomatic form following CPT conservation.&lt;/p&gt;
Pemanfaatan Media Lagu “Hindia: Membasuh” dalam Meningkatkan Keterampilan Menulis Puisi Kelas X di SMKN 1 Rawamerta

This study aims to determine the effect of using the media song "Membasuh" by the Indies in improving the poetry writing skills of class X at SMKN 1 Rawamerta. The research method used in this study is a quantitative method with an experimental design involving two classes; experimental class and control class. This research was conducted at SMKN 1 Rawamerta by taking two classes as samples, namely class X TKJ 1 with a total of 36 students and X TO 2 with a total of 34 students. Researchers obtain data by conducting pre-test/pretest and final testposttest on both samples. Data collection begins withpretest, then do the treatment/treatment, and the last one didposttest. Data acquisition and analysis results show that there is a significant difference between the experimental class that uses song media and the control class that does conventional learning. These results can be proven in non-parametric testsMann-Whitney with Asymp results. sig. 0.00 &lt; 0.05 which proves that there is a significant difference between the experimental class and the control class. The effectiveness of learning is proven by testingN-Gain Score on both samples. The calculation results prove that learning in the experimental class is more effective with an acquisition of 57.10% in the category of quite effective, compared to learning that is applied to the control class with an acquisition of 17.51% in the category of ineffective. Keywords: Utilization of Song, Song Media, Poetry Writing Skills
ANALISIS TINGKAT KONSENTRASI BELAJAR MATEMATIKA SISWA KELAS VII-H SMPN 2 MAJALAYA KARAWANG

Since a government policy that mandated social isolation or restrictions on social interaction to prevent the spread of the COVID-19 virus, online education has been practiced in Indonesia. Various communication tools, such as Google Classroom, Google Meet, Zoom, Edmodo, or WhatsApp, are used for online learning activities. In the current state of online education, many factors contribute to students becoming sluggish or disinterested in their studies, such as the fact that it requires a high level of concentration, time, and energy, as well as feelings of compulsion to abandon some activities that, in comparison to learning, are more enjoyable. others, both positive and negative exercises. Therefore, the purpose of this study is to investigate the learning concentration level of students in class VII-H at SMPN 2 Majalaya Karawang. by employing qualitative exploratory techniques. The findings indicate that students in grades VII through H have a moderate level of concentration.
Adaptable 2D to 3D Stereo Vision Image Conversion Based on a Deep Convolutional Neural Network and Fast Inpaint Algorithm

Algorithms for converting 2D to 3D are gaining importance following the hiatus brought about by the discontinuation of 3D TV production; this is due to the high availability and popularity of virtual reality systems that use stereo vision. In this paper, several depth image-based rendering (DIBR) approaches using state-of-the-art single-frame depth generation neural networks and inpaint algorithms are proposed and validated, including a novel very fast inpaint (FAST). FAST significantly exceeds the speed of currently used inpaint algorithms by reducing computational complexity, without degrading the quality of the resulting image. The role of the inpaint algorithm is to fill in missing pixels in the stereo pair estimated by DIBR. Missing estimated pixels appear at the boundaries of areas that differ significantly in their estimated distance from the observer. In addition, we propose parameterizing DIBR using a singular, easy-to-interpret adaptable parameter that can be adjusted online according to the preferences of the user who views the visualization. This single parameter governs both the camera parameters and the maximum binocular disparity. The proposed solutions are also compared with a fully automatic 2D to 3D mapping solution. The algorithm proposed in this work, which features intuitive disparity steering, the foundational deep neural network MiDaS, and the FAST inpaint algorithm, received considerable acclaim from evaluators. The mean absolute error of the proposed solution does not contain statistically significant differences from state-of-the-art approaches like Deep3D and other DIBR-based approaches using different inpaint functions. Since both the source codes and the generated videos are available for download, all experiments can be reproduced, and one can apply our algorithm to any selected video or single image to convert it.
Automatic Generation of Algebraic Representation for Physics Problems

&lt;p&gt;We collected a dataset of 75 word problems from the chapter “laws of Motion" from physics book authored by Resnick-Halliday, HC Verma and few sources from the Web. Therefore, the problems show variety in syntactical and linguistic structure, but they are conceptually similar.&lt;/p&gt;
Using OpenAI models as a new tool for text analysis in political leaders’ unstructured discourse

This study explores the application of Large Language Models (LLMs) and Automatic Speech Recognition (ASR) models in the analysis of right-wing unstructured political discourse in Peru, focusing on how the concept of freedom is framed. Three types of freedom are identified: personal autonomy, economic freedom, and civil liberties. Utilizing the transcription of OpenAI’s ASR Whisper and GPT-3.5 and GPT-4 models, interviews with three Peruvian right-wing political leaders are analyzed: Rafael López Aliaga, Hernando de Soto and Keiko Fujimori. The results show that GPT-4 beats GPT-3.5 in identifying dimensions of freedom, although there are discrepancies compared to human coding. Despite challenges in classifying abstract and ambiguous concepts, the findings demonstrate GPT-4's ability to classify complexities within political discourse at comparatively small costs and easy access. The research suggests the need for additional refinement, ethical consideration, and ongoing exploration in the analysis of political speeches through AI.
Primary Student and Teacher Game Based Learning Engagement: The Problem and the Challenge

Teacher and student engagement are critical factors that have a significant impact on the learning process. The use of educational games has been shown to make learning more interactive and fun, while also promoting a sense of motivation and engagement among students. This paper aims to investigate the factors that influence student and teacher involvement in game-based learning and how to minimize the potential problem during the classroom intervention. In this preliminary study, we employ a literature review method to find the correlation between teacher and student perspectives in games, and how game-based learning potentially can improve this engagement. Research has found that teacher and student engagement are crucial factors in the learning process and that teachers play a vital role in promoting student engagement. Students who view games as relevant to their learning goals tend to be more engaged and motivated to learn. When teachers view games as a valuable tool for teaching and learning, they are more likely to incorporate them into their instruction and create opportunities for students to use them. This, in turn, leads to increased student engagement, motivation, and learning. Additionally, the use of games in the classroom has the potential to enhance the learning experience for both teachers and students. A key purpose for this review is to provide a framework that teachers might use to construct effective classroom engagement pedagogies.&#x0D; Keywords: teacher and student engagement, educational game, game-based learning
Virtual Reality Trimatra and Dwimatra Laboratory Visual Art Materials for Higher Education

Dwimatra and trimatra are currently the main material for university fine arts courses. As a partner campus for the MBKM program, it is obligatory to provide compulsory courses in two dimensions and three dimensions. However, this course is prone to learning misconceptions. As a learning process that prioritizes aesthetics, students are not provided an optimal environment in understanding and experiencing aesthetics due to the lack of accessible virtual infrastructure. This research aims to reduce the misconceptions of the learning problem by providing virtual infrastructure for virtual reality laboratories. The research uses the ADDIE Model method (analysis, design, development, implementation, and evaluation) to develop learning empirically, structurally, and holistically. Validation tests were carried out by material and media experts to determine the media validity. The match pair test is used as a data analysis technique to determine the level of learning outcomes in pre-test and post-test. The hypothetical decision-making guideline on the match pair test refers to the significance value (Sig) if Sig. (2 tailed) &lt; 0.05, then H0is rejected and Hais accepted, if Sig. (2-tailed) &gt; 0.05, then H0is accepted and Hais rejected. The practicality test was conducted to determine the level of media practicality that is obtained from R/SM x 100% with the information R (Achievable Value) and SM (Maximum Score). In this regard, the design of virtual reality laboratories for trimatra and dwimatra art materials for higher education can avoid misconceptions about learning with virtual infrastructure technology.&#x0D; Keywords: trimatra, dwimatra, misconceptions, virtual reality
Understanding the Triple Helix Model and Capitalization of Knowledge

This paper is a preliminary study of the Triple Helix (TH) Model that focuses on understanding the model from different perspectives following secondary research. The methodology used in this study is exploratory and descriptive in nature. Narrative review of previous literatures has been followed to understand the Triple Helix Model. Henry Etzkowitz and Loet Leydesdorff propounded a theory known as Triple Helix in connection with industry, university and government which has become a research hub. The Triple Helix is a spiral model of innovation that captures multiple reciprocal relationships at different points in the process of knowledge capitalization. Therefore, this is going to be popular not only in developed countries but also gradually becoming popular in developing countries. The question comes what is Triple Helix Model? What does the model reflects in the academia? The objective of this study is to understand Triple Helix Model on one side and the evolution of this model including its features on the other. This study examines how the Triple Helix Model has been popularized in the field of academia, industry, and government by focusing on knowledge, innovation, and entrepreneurship through education. This paper includes introduction, methodology, evolution of the Triple Helix Model, routes of the Triple Helix, knowledge production, knowledge and technology transfer, knowledge industries, capitalization of knowledge and innovation, the network society, collaboration, Triple Helix and academia, teaching, learning, and future universities. The Triple Helix Model is a neo-evolutionary model of possible synergies between functions such as wealth creation, knowledge production and government regulations, which are the three helixes.
Use of Educational Technology to Improve the Quality of Learning and Teaching: A Systematic Research Review and New Perspectives

This paper aims to identify the main topics on which scientific research has been oriented, from 2019 through 2022, about the use of educational technology in teaching and learning. The methodological approach used was qualitative. The sample size was n = 92 (scientific articles from Web of Science, Scopus, Eric, and Google Scholar databases). Thematic analysis was used for data analysis. From the analysis of the data, it has been established that the main topics on which scientific research is oriented are the use of educational technology (1) for the learning environment, (2) as a pedagogical approach, (3) for student assessment, and (4) in support of students with special needs. Some perspectives are also given regarding the orientation of scientific research in this field.