Reviewerly/exHarmony huggingface dataset:
Tax Management System for Local Government Unit with SMS Notification

This study aimed to design and develop a Tax Management System for Local Government Unit with SMS Notification and evaluate the degree of acceptability and performance efficiency in the perception of the respondents. It is a computer-based information system aimed at providing information of the tax payers and their payment history in fast and easy manner. Developmental and descriptive research design was employed in this study. A system prototype was developed to implement the core functionalities as required by the target users to meet design specification. This study was conducted at the Treasurer Office in the Municipality of Estancia, Iloilo with a total of 50 respondents. When respondents were asked as to the degree of acceptability of the developed system in terms of security, it yielded a response of strongly agree. In terms of confidentiality, the developed system was described as strongly agree. The result showed that the performance efficiency of the developed system in terms of time behavior was also described as strongly agree. In terms of responsiveness, the developed system was also described as strongly agree. From the results stated above, this simply showed that the respondents were very much contented with the security, confidentiality, and efficiency of the developed system.
On the Possibility of an Event

&lt;p&gt;This paper introduces a concept of {\it possibility} that may be applied to real-world events that are viewed as having {\it prerequisites} that must be satisfied in order for the event to occur and/or {\it constraints} that may impede or prevent the event's occurrence. The core idea is to compute the possibility of the event as a function of the probabilities that the prerequisites are satisfied and the constraints are not, and where this function computes possibility values of logical combinations of prerequisites and constraints according to the principles of fuzzy logic. Thus, this notion of possibility is a hybrid of fuzzy logic and probability theory. It has the advantage that it provides an objective procedure for determining the possibility of an event insofar as the probabilities of the prerequisites and constraints may be determined by statistical samplings. This version of possibility would appropriately be applied to problems of planning. When there are multiple plans available for achieving a goal, this theory can be used to determine which plan is most possible, i.e., easiest or most feasible to complete. It is speculated that this model of reasoning more correctly captures normal human reasoning about plans. This may be contrasted with the pure use of probability theory, which can be used to determine which plan is most likely to succeed, but is not typically employed by humans in their everyday decision making.&lt;/p&gt;
Effectiveness of variative development of educational programs in pedagogical processes

Diversity of education is one of the main principles and directions of modern education. The content of educational programs and the variability in their implementation mean that each educational institution, even each pedagogue, can create their own educational programs and use different methods of their implementation. The main condition of variability is that it should be developed in accordance with the main principles and requirements of the state curriculum, as well as the requirements of the state.
Formation of communicative competencies in student environment

Pedagogical dialogue is a special type of pedagogical relations built on the principles of cooperation, co-creation, mutual respect and mutual understanding, a specific form of communication involving not only information communication of subjects, but also their spiritual unity, a special form of pedagogical interaction aimed at solving the problem. The purpose of the study is to develop methodological recommendations on pedagogical communication of students based on the analysis of psychological and pedagogical research on the problem.
Energy-efficient neural network learning with accuracy-adjustable floating-point multiplier

&lt;p&gt;This paper proposes a novel approximate bfloat16 multiplier with on-the-fly adjustable accuracy for energy-efficient learning in deep neural networks. The size of the proposed multiplier is only 62% of the size of the exact bfloat16 multiplier. Furthermore, its energy footprint is up to five times smaller than the footprint of the exact bfloat multiplier. We demonstrate the advantages of the proposed multiplier in deep neural network learning, where we successfully train the ResNet-20 network on the CIFAR-10 dataset from scratch. &lt;/p&gt;
The Security of Data Governance in the Digital World

&lt;p&gt;The goal of data governance is to ensure the availability, usability, integrity, and security of data used in an organization.&lt;/p&gt;
Measuring regularity of human physical activities

&lt;p&gt;In this paper, we aim to assess the regularity of physical activities through longitudinal sensor data, which reflects individuals’ all physical activities over an extended period. We present several entropy models, including entropy rate, approximate entropy, and sample entropy, which offer a more comprehensive evaluation of physical activity regularity compared to metrics based solely on periodicity or stability. We also propose a framework to validate the performance of entropy models on both artificial and real- world physical activity data. The results indicate entropy rate is able to identify not only the magnitude and amount of noise but also macroscopic variations of physical activities, such as differences on duration and occurrence time. Si-multaneously, entropy rate is highly correlated with the predictability of real-world samples, further highlighting its applicability in measuring human physical activity regularity. Leveraging entropy rate, we investigate the regularity for numerous individuals. We find the composition of physical activities can partially explain the difference in regularity among individuals, and the majority of individuals exhibit temporal stability of regularity.&lt;/p&gt;
Community Empowerment Through Utilization of Information Technology to Improve Management of Health Introspection at An-Nur Student Islamic Boarding School

Islamic boarding schools are places that are very vulnerable to disease transmission. The number of Islamic boarding schools that are adaptive to the progress of the times can change the behavior of their people towards a better life, namely by using technology. An-Nur Islamic Boarding School is a modern Islamic boarding school that does not yet have an up to date recording and reporting system that is integrated with the primary health care for monitoring health risks. The purpose of this community service is to empower student administrators in utilizing web-based information technology for monitoring health risks in Islamic boarding schools. The implementation method used is a Participatory Technology Development and educative approach. The output targets to be achieved are increasing knowledge about monitoring health risks in Islamic boarding schools, skills in measuring nutritional status and skills in utilizing health risk information technology. The results showed an increase in the average score of students' knowledge about the importance of surveillance-based health risk monitoring. Before being given education, the average score of knowledge of students was only 69. And after being given education, the average score of knowledge increased to 91. In addition, 80% of participants were able to measure nutritional status with the correct stages. And skills in using information technology in recording health risk factors are also very good. Participants is very easy and fast in using health information technology. The use of information technology in monitoring health risks is expected to help improve introspective health management in Islamic boarding schools. There needs to be more widespread socialization to other Islamic boarding schools and ongoing assistance related to the use of web-based information technology in monitoring health risks in Islamic boarding schools
Improving Digital Booking Skills Accurately For Students Of Smk Negeri 1 Garut

Economic growth in various sectors including the sub-sector of industry, trade and the development of information technology, robotics, computerization and other automation has encouraged the transfiguration of information technology in the accounting world, making the education system in the world of education move quickly and efficiently. This chain then has an impact on vocational learning in Indonesia. Students in the era of society 5.0 must qualified friendly with technology related to accounting in the industrial revolution era 4.0 is like software or accounting robots and big data. Based on initial observations, it was found that 100% of class XI students at SMK Negeri 1 Garut had never operated Android-based digital bookkeeping. To promote the applied profession of society 5.0 , it is necessary to conduct training on android-based accounting applications. The purpose of this service is to increase understanding in recording, presenting, and reporting financial statements that are faster, more precise, and accurate in order to equip students to enter the world of work. The method of activity consists of the stages of preparation, initial observation, program implementation with lectures and practical simulations directly on students using accounting software Accurate Lite. Simulation of bookkeeping practices in trading businesses is carried out by creating a business database, recording purchase and sales transactions, accounts payable and receivables, recording expenses, inventory and bank history and presenting reports. The results obtained are 89% of students are able to operate the bookkeeping system using Accurate Lite and present financial reports according to the provisions.
FinTech Yatırımları ve GSYİH İlişkisi: Yüksek Gelirli Ülkeler İçin Ampirik Bir Çalışma

Technology, the internet, and demographic change have started a rapid transformation in the financial services sector. The widespread use of innovation and technology in financial services in social and economic areas made these services more effective and companies called Fintech have emerged important economic actors. The Fintech sector has generated changes in the traditional financial service understanding and the delivery of these services. In this area, Fintech companies are developing new financial business models with the help of the latest technological developments and offering innovative financial products and services such as payment services, asset management, and insurance services. &#x0D; This study investigates, the relationship between GDP and Fintech investment using panel causality methods from 2014Q1 to 2020Q4 for eight high-income countries: The United States, United Kingdom, Singapore, Australia, Canada, Germany, Israel, and France. The results indicate the existence of cross-sectional dependence among countries. According to Westerlund’s panel cointegration test results, a cointegration relationship between two variables has been found in the long run. In the short run, panel Granger causality variables have been found only in Germany. We find a positive effect of Fintech investment on GDP in seven countries, and we see a negative relationship in Singapore.
CAT tools in translation of collocations

This study aims to fill this gap by exploring the impact of CAT tools on translation and the complications that occur during collocation translation. The study used a collocation test of ten statements to be responded to by 95 students of Saudi Electronic University. The data was analyzed to investigate the productivity of the respondents using CAT tools for translation of the collocations in the assessment. Findings showed a positive impact of these tools on the student’s performances with an average score of 71.97% in the collocation test. Results also showed that there were no significant differences between students' score in the test attributable to their level of enrolment. Finally, no statistical differences were found between students' score in selecting the correct verb collocation and selecting the appropriate rendering. The study concludes with reinforcing the importance of multiple ways of training translation students in the use of CAT Tools and recommends providing students with access to these. Furthermore, the study also recommends pertinent solutions to the problems likely to arise in the integration of CAT tools in translation studies
Exploring The Use of Information Communication Technologies among Dairy Farmers to Improve Farm Productivity in Punjab Pakistan

This study was conducted to examine the impact of demographic attributes on the usage of information and communication technologies (ICTs) among dairy farmers in District Sheikhupura, which is a prominent area in terms of dairy potential and dairy households. The use of ICTs was aimed at improving dairy farm productivity through extended awareness and adoption of recommendations. Tota 383 randomly selected respondents were interviewed face to face on a structured questionnaire. The collected data were analysed using Statistical Package for Social Sciences (SPSS). Results indicated that 36% of farmers were aged between 36-50 years, 35.8% had no formal education, 60.1% had less than 5 acres of land and 37.6% had the experience of over 20 years. The chi-square test of association confirmed that education (P0.05), land size (P0.05) and monthly income (P0.05) were significantly associated with the use of ICTs. Whereas, age and experiences were insignificant (P0.05) with the use of ICTs. Multiple Regression analysis confirmed that age, education and size of landholdings had statistically significant relationships with the adoption of ICTs among dairy farmers. This study, concludes that improvement in the socio-economic attributes of the farmers was associated with the improvement in the use of ICTs. Therefore, efforts are needed to improve the socio-economic conditions of farmers through farmer facilitation, subsidies, training and skills development regarding use of ICT gadgets.
Development of a Digital Platform Prototype, to Facilitate Inclusive Learning for Children with Special Needs

Persons with disabilities have the same rights and responsibilities as citizens. Based on the 1945 Constitution Republic of Indonesia, article 31 paragraph 1 and Law Number 20 of 2003 concerning the National Education System, it can be concluded that the state provides full guarantees for Children with Special Needs to obtain quality education services. Many of the problems of inclusive learning that occurred during the Covid-19 pandemic, ranging from the unpreparedness of the school to various problems with environmental factors so that innovation was needed to overcome these problems. In this article, the author develops a prototype of a digital-based learning platform as a solution to facilitate inclusive learning for children with special needs.
YouTube X-Rating Detection with Bahasa-Slang Title Using Query Expansion and Rule Based Approaches

The detection of X-rating content on the Internet is still rarely done in Indonesia and the performance of the existing work to detect X-rating content, especially in video is still low. The largest video portal, YouTube, does not yet have automatic X-rating content detection through its content either. Some X-rating content prevention service providers in Indonesia, such as the Internet Positive and Nawala Project, detect X-rating content using the keyword detection method of a web page and then block the web page with DNS filtering. However, that method does not pay attention to usingÂ Bahasa-Slang. This work developed Metasearch named Safedio. Safedio aims to detect X-rating content on YouTube content through video titles that contain Bahasa-Slang. Safedio utilizes Query Expansion and Rule-Based approaches. The Query Expansion is a technique to get additional rules in search. In the end, Safedio can detect X-rating content through video titles in both Bahasa and Bahasa-Slang. The average results return with precision 71%, recall 46% and accuracy 72%.
Implementation of Blockchain Technology in IOT Based Smart Home

Internet of things presents itself as an easy, effective and efficient framework for making homes smarter. Although, with its numerous advantages, it lacks a decentralized local system. The centralized cloud approach will be solved by the Blockchain, with a decentralized framework. Various safety concerns, threats, and attacks, as well as difficulties with user privacy and integrity persists in smart homes. Blockchain is being used in many IoT applications, to overcome security issues. This paper describes the three main levels of the blockchain in smart homes and how it can safeguard data and transactions while also describing IoT security assessments.
Combined No-Reference Image Quality Metric for UAV Applications

An expansion of the use of UAV images requires the improvement of methods and means for image analysis and processing in order to effectively solve various problems. Visual quality metrics play a key role in this sense, since their use allows determining the need in different image processing operations, their type and parameters, automating the entire process. The paper considers the problem of using no-reference visual quality metrics and test image databases to solve such problems. The effectiveness of more than 40 existing visual quality metrics for images with typical distortions for UAVs has been evaluated. The paper proposes a combined metric based on an artificial neural network to improve the accuracy of visual quality assessment and the possibility of its application in practice with sufficient efficiency.
Contextual Research Configuration Using Autonomous Model System

One of the main trends was integration of content items and contexts in collaborative virtual space (CVS) for a planned or existing physical space during the past decade. Content item is representation of physical, organizational or context object. Physical objects are increasingly replaced and extended by model representations having control function. CVS also accommodates principles, methods, and practices as content items in its context integrated model structure. Considering the above developments, author of this paper proposed complete research together with its outside contexts to realize in specifically configured CVS. In this way, troublesome research projects can be renewed at industrial companies, universities, and other institutions. This paper introduces some recent results in research configured CVS. First, new possibilities and challenges are discussed as emerged at preparation for this new model mediated style of research. Main new contributions in this paper are Contextual Virtual Content Model (CVCM), concept of Contextual Research Configuration (CRC), and Contextual structure of content types for CRC. Finally, collaborative space based research is characterized as it is planned to realize at the Virtual Research Laboratory (VRL) of the Doctoral School of Applied Informatics and Applied Mathematics (DSAIAM), Obuda University.
Implementation of Location Base Service Method Using WI-FI Network For Object Recognition at Museum

The museum that is currently being built is used as a place to manage existing historical objects, because real historical objects are easy to know when in the museum. The current management of the museum still uses a manual system, where visitors come to the museum and then see the historical objects in the museum. Nowadays, with the rapid development of the times, the use of advances in information can be used whenever and wherever the user is. Location-based services in museums can be used to develop object recognition systems implemented in museums. In this research, a Location Base Service (LBS) system will be created that uses an android application that is connected to a server to make it easier to study historical objects. The android device will transmit the current position signal received by the Access Point. The Android application functions as a viewer of nearby historical object description objects. When the user wants to observe a nearby historical object, the user will display a video about the object to introduce nearby objects. To support the Location Base Service (LBS) system, several Access Points to track users via wireless connected to Android devices.
SPATIAL PREDICTION OF THE CONTENT OF CARBONATE MINERALS AND GYPSUM AND ITS RELATIONSHIP TO THE FORMATION OF HEAT ISLANDS USING THERMAL IMAGING

The study area was chosen to the south of a Haditha lake. It is located between longitudes 41º 42 '02 "and 42º 27 03" E, and between longitude 34º 02 24 "and 34º 32 08" N, Western desert region at borders of Al-Anbar Governorate in the lower valley unit. It occupies an area of 186240 ha., Thermal units were isolated using the thermal image and 6 pedon were determined, which were accessed using a GARMIN GPS device, based on the Landsat8 satellite image captured on 7/25/2019, use the coefficient. The correlation and the simple linear regression equation between the temperature and each of the lime and gypsum in the soil for the surface horizon. The values for both lime and gypsum were projected using temperature, and the values of the image's pixels were converted into quantitative values for the content of lime and gypsum. The results showed that the study area included five thermal ranges, which included water bodies with an area of 50,300 hectares with a rate of 21.26%, whose temperature ranged from 26-43 degrees Celsius, and land areas with an area of 186,240 hectares, with a rate 78.74%, it was classified into four classes, as the first class occupied an area of 4618.75 hectares with a rate 2.48% of the study area, as it a temperature of 43-46 degrees Celsius, the second class, which had a temperature of 46-49 degrees Celsius, it occupied an area of 78909.89 hectares, equivalent to 42.37% of the study area. The third class had a temperature of 49-52 degrees Celsius and occupied an area of 39873.98 hectares, with a rate of 21.41% of the study area, and the fourth class, which recorded a temperature of 52-55 degrees Celsius, occupying an area of 62837.38 hectares, with 33.74% of the study area. The Spatial prediction values for lime and gypsum were 380 g/kg and 375 g/kg, respectively. The area of Spatial Completion calcareous soils with a content of more than 225 g/kg was about 68517.7 hectares, with 36.79%, while the area of gypsum soils with a content of more than 150 g/kg was about 78595.9 hectares, with 42.21% of the study area.
FORECASTING OF WHEAT PRODUCTION IN IRAQ USING BOX- JENKINS MODEL FOR PERIOD 2020-2024

Wheat is a major crop of food grown in different parts of Iraq, whether irrigated in the middle or south or demilitarized in northern Iraq, which is grown in large quantities but does not meet the actual need for local consumption, and as a strategic commodity, this research aims to make a forecast of wheat production for the next five years 2020-2024, by using time series based on the Box-Jenkins model. This is one of the models that depend on the accuracy of diagnosis of the phenomenon studied by relying on time series data for the study period 1980 - 2018, where a set of results were obtained through the use of statistical analysis program Minitab17 that may help those interested in the future vision of the Iraqi economy in drawing A successful planning policy, the results showed that the best model for forecasting wheat production in Iraq is ARIMA (1.0.2).