Reviewerly/exHarmony huggingface dataset:
IRFBEN method for solving higher order differential equations

This paper provides a computational method for approximating a radial basis function networks (RBFNS) are used to model a function and its derivatives (scattered data interpolation), The solution of differential equations of the fourth order Kuromoto-Sivashansky Eq and Nikolaevsky equation of the sixth order is presented in this article. It could begin with a fourth-order derivative method. a RBFN is used to approximate the fourth order derivative. Integration yields the derivative of the third degree, then the derivative of the second degree, and finally the derivative of the first degree. Finally, the original function is derived in the same way, i.e. the derivative can be performed on a sixth-order equation using IRBFN.
Needs Analysis Of Interactive Digital Books Based On Project At Biological Learning And Strategy Learning Designs Subject

Learning in the 4.0 era brought many changes in the technology sector. One of the media that can be used in lectures is digital books. Digital books can guide students to study on their own, related to biology learning strategy and design courses. For students to be better trained in psychomotor skills, it is necessary to make this digital book juxtaposed with a project approach. For this reason, an analysis of student needs was carried out for making project-based interactive digital books. This research is a quantitative descriptive study using a questionnaire as a data collection tool. The data is processed with a percentage formula. The results show that students and lecturers need project-based interactive digital books. So it can be concluded that the needs of students and lecturers for the availability of digital books are very much needed to be able to foster students' understanding and knowledge in the biology learning strategy and design course. Keywords: Digital Book, Project Based Learning
Macroeconometric Analysis Of Economic Growth In Tanzania: Ramsey-Cass-Koopmans Approach

This study empirically analyzed economic growth, investment, and household consumption in Tanzania based on the Ramsey-Cass-Koopmans model. Specifically, this study aimed at determining the factors influencing consumption and investment, finding out the role that consumption and investment play in the economy, deriving the countryâ€™s long-run economic growth model and identifying the factors influencing it, and lastly determining optimal resource allocation both in decentralized and centralized settings. Empirical regression models were specified to characterize the economy of Tanzania. The models estimated include economic growth, investment, and household consumption. These regression models were estimated using OLS. The study covered secondary annual data of 1970 â€“ 2017 and analysis was carried out using Eviews9. Results showed that the major significant factors affecting long-run economic growth rate in Tanzania include investment, labor force and inflation. In a decentralized economy, results indicated that current investment in Tanzania is influenced by GDP growth rate which seem to have the most significant impact. Also, investment, per capita GDP and Growth rate of GDP influence current household consumption expenditure in Tanzania in decentralized economy. On the other hand, results from centralized economy revealed that none of the variables involved seem to have the most significant impact in influencing current investment in Tanzania implying that government activities in the economy are very minimal though significant. GDP growth rate and savings are the factors influencing current household consumption in a centralized economy. The study recommends that investors should be given more priority when formulating policies to deal with economic growth in Tanzania. Public investment should be encouraged in areas that benefit society and no private investment incentives. The government should create a conducive environment for private investment to operate in the country. Household consumption expenditure should also be encouraged and engaged in macroeconomic policies. In order to maintain high standards of household consumption, income fluctuations and stable spending should be considered when dealing with inflation expectations in the country.
Packaging and Deploying Quarkus Applications

Typically, technical textbooks save the “packaging and deployment” talk for last, like vegetables on a dinner plate full of meat. I’m bringing it up front, because when we’re talking Quarkus, the deployment options are like half the point. This will be worth your while.
A fairy tale as a reflection of the national culture of the people

The fairy tale, which is the leading genre of Korean folklore, is the most valuable monument of the spiritual and poetic culture of the Korean people and is of great educational value. The fairy tale has long been loved by the people. In the recent past, it was a fairy tale that nourished the spiritual culture of ordinary Koreans.
Perbaikan Metode Kerja Untuk Meningkatkan Produktivitas Dengan Menggunakan Motion Study Dan Process Activity Mapping(Studi Kasus : UMKM Backup Screen, Baki-Sukoharjo

UMKM Sreen Backup is a business unit that is engaged in manufacturing T-shirts, screen printing jackets, border shirts and zip hoodies. The problem faced in the screen drying process and drying time is quite long because it only relies on sunlight. The purpose of this study was to determine waste in the flow of the production process using motion studies and process activity mapping. By using the motion study method we can find out unnecessary movements in the production process and with process activity mapping we can find out the percentage of total production activities at MSMEs. From the results of this study it can be seen that the placement of materials and tools during production affects the production time for printing t-shirts, and the weather factor affects the length of time for screen drying, resulting in delays. is more than just waiting for the screen to dry.Keywords: t-shirt screen printing, motion study and process activity mapping.
PENGARUH PENGGUNAAN MEDIA GRAFIS TERHADAP HASIL BELAJAR MATA PELAJARAN BAHASA INDONESIA SISWA SEKOLAH DASAR NEGERI 55 PAREPARE

This study examines the presence or absence of the influence of using graphic media on learning outcomes in Indonesian subjects. The formulation of the problem studied is whether there is an influence of the use of graphic media on student learning outcomes in Indonesian subjects, namely the ability to read comprehension in the material types of characters in fiction. This study aims to determine the effect of using graphic media on learning outcomes in Indonesian subjects. This research uses a quantitative approach to the type of experimental research and uses pre-experimental design in the form of one-group pretest-posttest design. The sampling technique used in this study is the Non Probability Sampling technique with a sample size of 23. The data collection technique used in this study is a test of learning outcomes and documentation. The data analysis technique used in the study is a t-test to test the hypothesis preceded by the analysis prerequisite test in the form of a normality test. The results of hypothesis testing using the Paired Sample T-test which shows Sig (2-tailed) <0.05 so that H0 is rejected and Ha is accepted which means that the graphic image learning media has a good effect because it improves the learning outcomes of Indonesian about reading comprehension of fourth grade students public elementary school 55 Parepare.
Robot Deployment Mechanism Based on Up-Down Patrol Compensation

In wireless sensor networks, it is a key challenge to develop a robot mobile deployment mechanism that can effectively find the coverage holes and achieve the full coverage with a minimal number of sensors. The existing robot mobile deployment solutions have some problems that they either have more cost or cannot effectively find coverage holes, which seriously affects the monitoring efficiency and quality of the entire network. In order to handle this problem, this paper proposes an Up-Down patrol compensation (UDPC) mechanism, which can effectively find coverage holes. The UDPC mechanism optimizes traditional mobile deployment algorithms by combining with them. Experiments verify that the proposed UDPC mechanism can achieve better performance. The existing deployment schemes can have a great improvement in the coverage of the monitoring area through the effective combination with the UDPC mechanism.
Mineralization, fluid inclusion and sulfur isotope studies in The Gardane-Shir Pb-Zn deposit ,Ardestan,Isfahan Province

Gardaneshir carbonate-hosted Pb-Zn deposit on the ground of study area located southwest of Ardestan in Isfahan province. Base on lithostratigraphy,the main structure, besides the small outcrops of Jurassic shales, has been made up of carbonate and detrital rock materials depending on Paleozoic,Triassic and Cretaceous time stages. Dolomitic carbonate which is attributed to Shotori Formation , played the major role of host rock in ore-mineralization. Ore-mineral description obtained from the mineralized zone and caused the following ore-paragenesis in ascending order.of:pyrite,chalcopyrite,galena,sphalerite,malachite,cerussite,smithsonite,iron oxides and gangues of barite, quartz and calcite. Physico-chemical information of ore-solutions performed by entrapped fluid inclusion studies in gangue minerals. Liquid-rich two phase(L+V) inclusions as predominant types were recognized. These type of inclusions are homogenized into liquid state with a range of TH and related salinities between; TH :78 to 183 and 216 to 283°C, Salinity:3.5 to 9.7 and 10.2 to 25 wt% NaCl eq. The microthermometric data reflect the nature of two population of fluid inclusions originating from different sources. The source materials could have been provided by basinal brines, derived during compaction of sediments in a shallow sea environment and by movement into sediments, the stratabound Pb-Zn deposit are formed. Furthermore, the negative delta value ranges(δ34S) from -0.6 ‰ to -20.4 ‰ that have been extracted by galena can be an evidence of bacterial sulfate reduction in a subsidence sedimentary basin. In conclusion, based on field, mineralogical, fluid inclusion and sulfur isotope evidence, we propose that Gardaneshir Pb-Zn deposit is a stratabound carbonate hosted of Mississipi Valley Type(MVT).
Penentuan Jalur Terpendek dengan Metode Heuristik Menggunakan Algoritma Sarang Semut (Ant Colony)

Ant Colony algorithm was adopted from the behavior of ant colonies, known as the system of ants, ant colonies are naturally able to find the shortest route on their way from nest to food source places. Colony of ants can find shortest route between the nest and food sources based on the trajectory of footprints that have been passed. The density of ant footprints on the path is always updating because of the evaporation of the footprints and the determination of ant pathways using probability calculations. This study aims to determine the results of determining the shortest path using the ant colony algorithm as the best route from the Samarinda City secondary arterial road with the route starts from Slamet Riyadi road to DI Panjaitan road. Based on the results of the study using the ant colony algorithm obtained the shortest path of 8.307 kilometers with footprint density of 1.005.
Role of knowledge management in agile execution during pandemic

The COVID-19 pandemic brought an unprecedented time for everyone. IT Industry was not an exception. Some had to cut the workforce whereas some sustained in this pandemic. In this paper, we will try to look at how agile setup has helped the organization to sail through pandemic and how knowledge management becomes important when a resource leaves the project at different stages of the project. © AMCIS 2021.
Relearning Ensemble Selection Based on New Generated Features

The ensemble methods are meta-algorithms that combine several base machine learning techniques to increase the effectiveness of the classification. Many existing committees of classifiers use the classifier selection process to determine the optimal set of base classifiers. In this article, we propose the classifiers selection framework with relearning base classifiers. Additionally, we use in the proposed framework the newly generated features, which can be obtained after the relearning process. The proposed technique was compared with state-of-the-art ensemble methods using three benchmark datasets and one synthetic dataset. Four classification performance measures are used to evaluate the proposed method.
The Comparative Economics of Financial Access in Gender Economic Inclusion

The study has investigated the comparative importance of financial access in promoting gender inclusion in African countries. Gender inclusion is proxied by the female labor participation rate while financial channels include: financial system deposits and private domestic credit. The empirical evidence is based on non-contemporary Fixed Effects regressions. In order to provide more implications on comparative relevance, the dataset is categorized into income levels (middle income versus (vs.) low income); legal origins (French civil law vs. English common law); religious domination (Islam vs. Christianity); openness to sea (coastal vs. landlocked); resource-wealth (oil-poor vs. oil-rich) and political stability (stable vs. unstable). Six main hypotheses are tested, notably, that middle income, English common law, Christianity, coastal, oil-rich and stable countries enjoy better levels of “financial access”-induced gender inclusion compared to respectively, low income, French civil law, Islam, landlocked, oil-poor and unstable countries. All six tested hypothesis are validated. This is the first study on the comparative importance of financial access in gender economic participation.
ANALISIS KEBUTUHAN PENGEMBANGAN MEDIA PEMBELAJARAN KOMIK DIGITAL BERBASIS PENDEKATAN KONTEKSTUAL UNTUK MENINGKATKAN MOTIVASI BELAJAR PADA MATERI ALAT-ALAT OPTIK

The purpose of this study is to describe the analysis of the need for the development of digital comic learning media based on a contextual approach to increase learning motivation on optical instruments. This type of research is a research and development (R&D) research using the 3D research method (define, design, develop). In this study, the researcher limits it only to the define stage. The instrument used in this study was a questionnaire to analyze the needs of teachers and students of class XII MIPA and 6 physics teachers from SMA Negeri 2 Bengkulu City, SMA Negeri 4 Bengkulu City and SMA Negeri 9 Bengkulu CIty. Based on the results of the research conducted, it can be concluded that students need digital comic learning media based on a contextual approach to the material of optical instruments. This is based on the data obtained that 82.7% of students answered strongly agree and 83.3% of teachers answered that they agreed the need to develop digital comic learning media based on a contextual approach to increase learning motivation.
Demystifying Inductive Biases for (Beta-)VAE Based Architectures

The performance of $\beta$-Variational-Autoencoders ($\beta$-VAEs) and their variants on learning semantically meaningful, disentangled representations is unparalleled. On the other hand, there are theoretical arguments suggesting the impossibility of unsupervised disentanglement. In this work, we shed light on the inductive bias responsible for the success of VAE-based architectures. We show that in classical datasets the structure of variance, induced by the generating factors, is conveniently aligned with the latent directions fostered by the VAE objective. This builds the pivotal bias on which the disentangling abilities of VAEs rely. By small, elaborate perturbations of existing datasets, we hide the convenient correlation structure that is easily exploited by a variety of architectures. To demonstrate this, we construct modified versions of standard datasets in which (i) the generative factors are perfectly preserved; (ii) each image undergoes a mild transformation causing a small change of variance; (iii) the leading \textbf{VAE-based disentanglement architectures fail to produce disentangled representations whilst the performance of a non-variational method remains unchanged}. The construction of our modifications is nontrivial and relies on recent progress on mechanistic understanding of $\beta$-VAEs and their connection to PCA. We strengthen that connection by providing additional insights that are of stand-alone interest.
On the analysis of normative-legal documents in the regulation of the activities of crime prevention services of the ministry of internal affairs of the Republic of Uzbekistan

This article concentrates on the analysis of normative-legal documents in the regulation of the activities of crime prevention services of the Ministry of internal affairs of the Republic of Uzbekistan, as well as depicts the normative and legal documents regulating this sphere and proposals and recommendations for the improvement of the activity of this area are developed.
Critical Thinking Technology in the Training of Law Professionals

According to the Federal State Educational Standards of Secondary Vocational Education (FSES SVE), graduates should master general and professional competencies according to the specialty. Students should acquire a certain set of knowledge and skills and gain practical experience in accordance with the Federal State Educational Standard through the study of professional modules.
Publishing, the Internet and the Commons: Debates and Developments

This editorial details a few central concerns of contributions to the WPCC special issue on ‘Publishing, the Internet and the Commons’. It outlines the need to consider publishing from a media studies perspective, the growing role of platforms in publishing in all forms and the dangers of continued market concentration for access and diversity. The author considers the special status of publications, their kudos, in scholarly communications in particular and how copyright and commons principles are considered by contributions within the issue suggesting that both a reorientation in values and work on infrastructural practicalities will be needed for a world undertaking more commons-based publishing. An understanding of the present dangers of scholarly publishing being mobilised as a key component of research governance and surveillance underpinned by opaque and inequitable algorithms is also highlighted.
Mining User Generated Contents in Online Healthcare forum using Text Mining Techniques

The development of online health care forum patients and health seekers can access the Internet and get health related information through their social media blogs and health care forums. These forum users are involved to post emotional based messages and health related posts. In this forum enormous amount of emotional based messages posted by different stakeholders that are patients, caregivers and healthcare experts. In this online healthcare forum patients /healthseekers post a question. Peers who reply to the questions asked that replies are based on more emotions oriented messages. For analyzing these messages to find the adoption based answers , Stakeholders and Topic identification in the messages and Sentiments (emotions) to the messages. For this Framework we use various text mining methods as preprocessing , NLP methods ,and Machine learning algorithms as SVM- RBF(radial Basis Function) Classification , K-medoid clustering method and Lexicon Data Analysis (LDA) is used .In this paper Medhelp online healthcare forum messages were taken up for analysis.
An Overview of Machine Learning Techniques for Spam Detection

Spam is nothing but irrelevant content with low quality information sent over the internet typically to a large number of users for the purpose of phishing, spreading malware. Spam is commonly found as images, texts or videos, advertisements &amp; on social networking sites. Different approaches to tackle these unwanted messages, including challenge response model, white listing, blacklisting, are in place to deal with this issue. These solutions are available for end users but due to the dynamic nature of the Web, there are no 100% secure systems around the world which can handle this problem. Machine learning provides better mechanisms that are able to control spam. This paper aims to analyze existing research works in spam detection strategies and approaches, state of art, the phenomenon of spam detection, to explore the rudiment of spam detection, to proposed detection schemes and potential online mitigation schemes. The paper will survey various anti-spam strategies. In the literature we have studied that many anti-spam strategies have been discovered and worked on but they are still open challenges to these different approaches and techniques, while some of them are highlighted in this article. It is very important to work on spam detection and reposition it for the better of the world.
Применение программного обеспечения БИТ-2000u для автоматизации библиотек и информационного обеспечения пользователей

The article considers the automated library information system BIT-2000u developed at the UIIP NAS of Belarus, its possibilities for use in libraries, corporate library systems, as well as for creating information support applications in various fields of activity
Wheelchair on Gesture Control

There are 65 million people who have access to the wheelchairs and about 80% requires another person to help them commute from one place to another. So, why is there a need of another person to help the disabled? We have prepared this wheelchair that works according to gestures of hand. An accelerometer is used as a sensor which gives an analog signal on its movement in any of the 6 axis directions, that is positive X axis, negative X axis, positive Y axis, negative Y axis, positive Z axis, negative Z axis. In this project we have considered X and Y axis for the direction. The Arduino continuously acquires data from the accelerometer and based on the predefined parameters, it sends a data to the NRF24L01 Transmitter. The data transmitted from transmitter is received by paired NRF2401 receiver, the data received from transmitter are processed by the arduino and appropriate signals are sent to motor driver which will activate the wheels of the motor.
ПРОЦЕСС РАЗВИТИЯ ИССЛЕДОВАТЕЛЬСКОЙ КОМПЕТЕНТНОСТИ УЧАЩИХСЯ

The article deals with the process of formation and development of high school students’ research competence. Research competence in pedagogy has been studied from the point of view of different approaches. The authors specified the directions of formation of high school students’ research competence are defined. The connection of «research competence» with the concepts of «research skills» and «research activity» is considered. Examples of students' research competence development are given.