Reviewerly/exHarmony huggingface dataset:
The Effect of Inflation on Economic Growth in Tanzania for the Period of 1970-2020

The research examines the effect of inflation on economic growth in Tanzania.The study employs the secondary time series data from 1970 to 2020 taken from the Bank of Tanzania, and the VECM is used to find the cointegration between variables to show the short-run and long-run dynamics.Graphical analysis and Augmented Dickey-Fuller tests are conducted to find the unit root in the model.All variables are stationary and integrated in the same order I(1).The results show that the error correction is significantly negative.That is, the annual rate of adjustment required to achieve long-run equilibrium is 28.31 percent.Based on the findings in the short-run, the extended money supply and interest rates have negative and insignificant effects on GDP, while the exchange rate has an inversely significant effect on GDP.Inflation targeting has a favourable insignificant effect on GDP.Long-run results show that extended money supply, exchange rates, and interest rates have positive significant effects on economic growth, whereas inflation targetinghas negative significant effects on GDP.It is recommended that the government, policymakers, and financial institutions focus on managing inflation by the prudent implementation of fiscal and monetary policies and maintaining a regulation of interest rates, the extended money supply, and real exchange rates also inflation targeting should be emphasised by improving the central bank's communication, transparency, and accountability to avoid inflation volatility and stimulate economic growth.
Reengineering the Leadership Competencies of the Leaders at the Jordanian Ministry of Education According to the Contemporary Leadership Trends

This study aimed to present a restructuring of the competencies of educational leaders in the Jordanian Ministry of Education based on contemporary leadership trends.The study population consisted of all leaders, officials, administrators, and heads of departments at the Ministry of Education center who are in charge of their work during the year 2020/2022.To achieve the goal of the study, the researcher used the developmental survey methodology, and a questionnaire consisting of (51) items was developed distributed over (5) domains whose validity and reliability were confirmed.Then, it was distributed among the (260) members of the study, including all leaders, officials, administrators, and heads of departments in the Jordanian Ministry of Education.The results of the study showed: The reality of the availability of engineering competencies among the educational leaders in the Jordanian Ministry of Education was average from their point of view, with statistically significant differences, when comparing the reality with the upper limit of averages (5).Based on these results, a restructuring of the competencies of educational leaders in the Jordanian Ministry of Education was presented based on contemporary leadership trends.The researcher recommended several recommendations, including: training qualified educational leaders to bring about innovative developmental changes in the ministry and its institutions, and enabling them to direct the charisma of leadership to raise motivation towards standard practices among human cadres.She recommended that the Ministry of Education adopt the restructuring of leadership competencies to achieve change and development of distinguished educational learning that is capable of making a difference and achieving added value.And the adoption of engineering to enable educational leaders to achieve creativity, innovation and comprehensive institutional change in their positions.
The Usage of a COVID-19 Contact Tracing Electronic Platform in Greece: Exploring Opportunities, Challenges, and Data on SARS-CoV-2 Infectivity.

Introduction: Contact tracing is a core public health tool used to interrupt the transmission of pathogens, including SARS-CoV-2. To increase the effectiveness of contact tracing, Greek health authorities used an electronic platform to aid traditional manual contact tracing to track individuals who have come in close contact with identified COVID-19 patients. Method: Contact tracing was implemented from the beginning of the pandemic in Greece. The aim was to identify and quarantine all the contacts of confirmed cases. The electronic database was designed following all the security protocols and national regulations on the use and protection of personal data. To assess factors associated with infectivity and susceptibility to infection in this analysis, we used contact tracing data with a sampling date between October 1 to December 9, 2020. Results: During the sampling period, 29,385 laboratory-confirmed SARS-CoV-2 cases and 64,608 traced contacts were identified. A median number of two persons were traced per index case. The secondary attack rate was 17.4% (95% CI: 17.0-17.8). Contacts aged 0–11 and 12–17 years were less susceptible to infection than adults 65 years or older (odds ratio (OR) [95% CI]: 0.28 [0.26–0.32] and 0.44 [0.40–0.49], respectively). Index cases aged 65 years or older were more likely to infect their contacts than other adults or children/adolescents. Conclusion: Contact tracing is a key strategy to interrupt chains of transmission and to promote early diagnosis. The data collected in this process could be used to estimate epidemiological parameters of interest and to better understand factors associated with infection and susceptibility to infection. Precautions are necessary for individuals 65 or older as they have higher infectivity and susceptibility in contact with their peers.
Dual Axis Solar Tracker

The variation in the sun takes place every day through the night and even seasonally throughout the year.The world's population is rapidly expanding.Nonrenewable energy sources such as coal and oil have been depleted over the last decade, posing a severe challenge to the world's ability to provide reliable energy.However, solar energy is a significant source of primary energy.In this project, we present a dual-axis solar tracking system that uses Arduino as the main processing unit to capture the maximum amount of solar energy.Photovoltaic conversion panels are intended to be used in this project's autonomous microcontroller-based solar tracker system.Our goal is to create a single-axis and dual-axis solar tracker system.The tracker follows the sun and changes its location so that power production is maximized.Two geared DC motors move the solar panel, allowing the sun's light to remain aligned with the solar panel.The experimental version of the device is based on a DC motor that is intelligently controlled by a dedicated drive till it moves a small photovoltaic panel, with the presence of two simple but efficient light sensors receiving signals from a microcontroller.The performance and attributes of the solar tracker gadget are tested.
IMPROVING DIGITAL SIGNATURE VERIFICATION ACCURACY THROUGH SUPPORT VECTOR MACHINE LEARNING: A COMPARATIVE STUDY

Digital signatures are widely used in electronic documents, and their verification is crucial to ensure document authenticity and security. However, digital signature verification can be challenging, especially when dealing with large amounts of data. In this paper, we present a comparative study of three Support Vector Machine (SVM) based methods for improving digital signature verification accuracy. We used a dataset of 10,000 digital signatures and compared the performance of linear SVM, polynomial SVM, and radial basis function (RBF) SVM. Our results showed that all three SVM-based methods improved the accuracy of digital signature verification compared to traditional methods. The RBF SVM method was found to be the most effective method for improving accuracy, with an accuracy of 98%.
ORGANIZATION OF GROUP WORK IN AN INCLUSIVE ELEMENTARY SCHOOL CLASSROOM

This article highlights important aspects of gaming technologies in the group work of disabled children with their healthy peers in inclusive education.
ON METHODS OF USING ENGINEERING SOFTWARE IN RESEARCH ACTIVITY OF STUDENTS

The article describes the ways and advantages of using engineering programs in the development of research activities of physics students, as well as the ways of using the Multisim program in conducting research.
The Effects of NCS Coffee Education Program on Education Satisfaction and Transfer of Training

In the domestic coffee market, the amount of import and consumption has increased even during the COVID-19 pandemic. In order to cope with the size of the coffee market and the diversity in terms of consumption, the country has developed a coffee National Competency Standards(NCS) that standardizes job competency required in industrial sites. The purpose of this study is to empirically investigate how the NCS coffee education program affects education satisfaction and transfer of training, and whether the effect of education satisfaction on transfer of training is significant. The results of the empirical analysis are as follows. First, among the components of the NCS coffee education program, education method, education contents, education instructors had a positive effect on education satisfaction, but the education environment had no significant effect on education satisfaction. Second, among the components of the NCS coffee education program, only the education contents and the education instructor had a positive effect on the transfer of training. Third, education satisfaction was found to have a positive effect on the transfer of training. Finally, this study intends to present a plan to improve NCS coffee education satisfaction and transfer of training in terms of education programs.
Incremental Weak Subgradient Method for Large Scale Machine Learning Problems

In optimization problems, when the problem is differentiable, gradient search methods are developed using the gradient concept.When it is nonsmooth, the solution methods are based on the subdifferential concept which is valid under the convexity condition.Subgradients defined for convex functions are the general mapping of gradients.If the problem is not convex, the weak subgradient can be used.The weak subgradient is defined with a more analytical approach to nonconvex and nonsmooth optimization problems and it is provided to generalize the concept of subgradient for nonconvex.In the problem of optimizing the sum of a finite number (m ) of functions, incremental methods that use the gradient (or subgradient) of each function one by one work faster than non-incremental methods, especially when the number of m is larger.Machine learning problems are optimization problems based on "minimizing the sum of the finite number of functions", which is the minimization of the loss function that shows the difference between the real data label and the estimated data label.The semidefinite machine learning problem (SML) contains nonlabelled data and contains nonsmooth nonconvex functions.The aim of this study is to develop an incremental weak subgradient method for SML problems.We work on the incremental weak subgradient method, which starts with an initial solution and calculates a new solution by using the weak subgradient values of one of the functions with random order at the current solution in each subsequent iteration.The convergence properties of the method are investigated and SML problems are solved.
Designing Guilt Into Social Distancing Posters to Promote Compliance

This study examined the effects of poster design components on guilt response, the moderating effect of clarity of purpose between the design attributes and guilt response, and the effects of guilt appeals on social distancing behavioral intention.In this research, poster design attributes such as background color and textual components were manipulated in terms of hue, color saturation, and message type in creating different stimuli for the actual experiment.A 2 (hue) x 3 (saturation) x 3 (message type) between-subjects experiment was conducted wherein eighteen (18) stimuli were evaluated by 162 target participants through an actual experiment measured in terms of clarity of purpose, guilt response, and social distancing behavioral intention.The effects of hue, saturation, textual components, and the moderating effect of clarity of purpose on guilt response were tested using analysis of variance (ANOVA).Whereas, the effect of guilt response on social distancing behavioral intention was analyzed using structural equation modelling (SEM).Findings showed that red hue, anticipatory message type, and the interaction between red hue and anticipatory message type had significant positive effects on guilt response.However, the interaction between hue and saturation presented no significant effect on guilt and clarity of purpose also had no moderating effect between the design attributes and guilt response.Ultimately, the SEM results reported that guilt response had a direct significant effect on social distancing behavioral intention.
Implementing a Wine Traceability System as an Ethereum Distributed Application

Undoubtedly, supply chain operations management is becoming more demanding for product tracing due to regulatory frameworks and fraudulent incidents.Therefore, rapidly increasing challenges arise in transparency, tracking, and data storage in many product supply chains.Especially in the case of wine supply chains, timely and accurate traceability is vital, as this industry is plagued by frequent counterfeiting activities that pose significant risks to both consumer health and business viability and prosperity.Blockchain technology can serve as a crucial aid for constructing modern wine supply chains by offering increased security and trust between all supply chain stakeholders.This paper presents a framework for developing Ethereum-based Blockchain distributed applications and demonstrates a use case for creating such an application for a wine traceability system.The developed distributed application enables the participants of the wine supply chain to track wines by adding and monitoring data about each individual wine bottle's production, fermentation, aging, bottling, and distribution, providing full supervision of its production and distribution.The demonstrated use case shows the different types of users and their interactions with the system to fully comprehend the advantages it can offer to all supply chain stakeholders as well as consumers and controlling authorities.
Blockchain Technology Solution for Financial Inclusion of African Small Farmers: A Systematic Literature Review

Integrating Africa's small farmers to the agricultural supply chains is necessary for their economic growth and development.Nonetheless, the lack of access to finance prevents many African farmers from taking part in the supply chain.the agriculture sector has a persistent problem with getting financial from finance institutions.Smallholder farmers have been mostly excluded from the access to financing services.Blockchain has been applied to resolve a variety of issues in numerous sectors.In the agricultural industry, Blockchain is utilized to increase the supply chain's transparency, security, and traceability.the deployment of Blockchain technology, known as distributed and immutable ledger could be utilized to strengthen agriculture finance.Regarding this, we suggest a systematic literature review to gather all pertinent research on the applications of Blockchain technology for financial inclusion of African small farmers in order to identify current research themes.This research makes a concrete contribution by discussing how blockchain technology might help address the problem of financial exclusion of African small farmers, laying the groundwork for a potential solution that could link these farmers to the global agricultural supply chain.
Performance Analysis of Hospitals Departments by Using Data Envelopment Analysis

This study uses the Data Envelopment Analysis method to examine the health sector's performance efficiency.The study measures the efficiency of three departments of 6 public and 5 private hospitals in Kuwait i health sector.Data Envelopment Analysis (DEA) method with Constant return to Scale (CRS), Variable return to Scale (VRS), and scale efficiency were used to estimate public and private hospitals' technical and managerial efficiency regarding staff, doctors, health services, and the number of patients indicators.
Improved Classification Accuracy by Feature Selection using Adaptive Support Method

The explosion of data which is happening now must be utilized to support decision making both in terms of business and other matters. Data which are becoming assets today needs to be analyzed and extracted in order to find valuable information. The results of data analysis can be used to make predictions, one of which is classification. For high dimensions data, we require preprocessing stage so that the model building process is not complex and the analysis is accurate. One of the preprocessing stages that need attention is feature selection. Feature selection is applied to reduce features without diminishing the accuracy and information in the data. Performing feature selection can also be done by using the association rule. Association rule refers to considering the association relationship between items and the frequency of items occurrence as features. However, the obstacle in implementing the association rule is when determining the minimum support value. Therefore, an adaptive support method is proposed to determine the minimum support value automatically based on the characteristics of the dataset. In this present study, a feature selection method using adaptive support is proposed. Based on the experimental results using 3 classifiers, the accuracy and F1-Score values for the feature selection method using adaptive support are higher compared to the Information gain method.
Pengaruh penggunaan media pembelajaran powerpoint interaktif terhadap motivasi belajar siswa Sekolah Dasar pada pembelajaran IPA

AbstrakPenelitian ini dilatarbelakangi oleh kurangnya motivasi belajar siswa terhadap mata pelajaran di Sekolah Dasar. Tujuan utama penelitian ini untuk mengetahui pengaruh penggunaan media pembelajaran PowerPoint Interaktif terhadap motivasi belajar siswa Sekolah Dasar Pada Pembelajaran IPA di kelas IV SDN Pucung III. Metode penelitian yang digunakan Pre-eksperimental design dengan tipe One Grup Pretest-Posttest. Subjek dalam penelitian ini yaitu siswa kelas IV SDN Pucung III yang berjumlah 40 siswa, terdiri dari 20 siswa laki-laki dan 20 siswa perempuan. Teknik pengumpulan data menggunakan angket motivasi belajar siswa yang sebelumnya sudah diuji kelayakannya melalui uji validitas dan reliabilitas. Teknik analisis data yang digunakan yaitu statistic deskriptif dan statistic inferensial. Berdasarkan hasil penelitian menunjukkan bahwa, peningkatan motivasi belajar yang ditunjukkan pada nilai rata-rata N-Gain yang diperoleh dari data pretest-posttest adalah sebesar 0,605 dan berada pada kategori sedang. Uji hipotesis menggunakan uji Paired Sample t-test diperoleh nilai sig. (2-tailed) untuk angket yaitu 0,000 &lt; 0,05, maka H0 ditolak dan H1 diterima. Hasil penelitian menunjukkan adanya pengaruh penggunaan media pembelajaran PowerPoint Interaktif terhadap motivasi belajar setelah diberi perlakuan (treatment).Â Kata Kunci: Media Pembelajaran interaktif, Power Point Interaktif, Motivasi BelajarÂ ABSTRACTThis research is motivated by the lack of student motivation towards subjects in elementary schools. The main objective of this study was to determine the effect of using Interactive PowerPoint learning media on the learning motivation of elementary school students in learning science in class IV SDN Pucung III. The research method used was Pre-experimental design with the type One Group Pretest-Posttest. The subjects in this study were fourth grade students at SDN Pucung III, totaling 40 students, consisting of 20 male students and 20 female students. The data collection technique uses a questionnaire on student learning motivation which has previously been tested for its feasibility through validity and reliability tests. Data analysis techniques used are descriptive statistics and inferential statistics. Based on the results of the research, it shows that the increase in learning motivation is shown in the average N-Gain value obtained from the pretest-posttest data which is 0.605 and is in the medium category. Hypothesis testing using the Paired Sample t-test obtained a sig value. (2-tailed) for the questionnaire, namely 0.000 &lt; 0.05, then H0 is rejected and H1 is accepted. The results of the study showed that there was an effect of using Interactive PowerPoint learning media on learning motivation after being given treatment.Â Keywords: Interactive Learning Media, Interactive Power Point, Learning Motivation
THE APPLICATION OF MIND MAPPING TECHNIQUE TO INCREASE STUDENTSâ€™ READING COMPREHENSION ACHIEVEMENT AT THE EIGHTH GRADE SMPN 38 PALEMBANG

Reading certainly has many purposes, one of which was by reading people can find out the information, increase knowledge and to expand horizons. Thus the writer tried to explore the use of mind mapping technique to know the significant improvement in studentsâ€™ reading comprehension achievement in recount text after being taught with mind mapping technique and to know the significant mean difference in students reading comprehension between students who were taught by using mind mapping technique and those who were not. The research design in this study is a quasi-experimental design which the population of this study were students from two classes of eighth-grade of SMPN 38 Palembang which consisted of 32 students of each class. Data collection techniques used in this study were pre-test and post-test. Data were analyzed using t-test (paired sample t-test and independent sample t-test). The outcome of t-obtained in experimental group was higher than t-table (17.201&gt;0.2913). Also, the results of each aspect in experimental group showed that there was improvement. Beside, there was also significant mean difference between students who were taught by using mind mapping technique and those who were not.The findings revealed that teaching reading by using mind mapping technique was effective toward studentsâ€™ reading comprehension achievement in recount text at the eighth-grade students of SMPN 38 Palembang in the academic year of 2021/2022.
Ingrid Verbauwhede Receives the 2023 IEEE Donald O. Pederson Award in Solid-State Circuits [Awards]

Presents the recipients of IEEE Journal of Solid-State Circuits awards for 2021.
Women in Circuits Corner: Women in Circuits Mentoring and Networking Bingo Event at ISSCC 2023 [Society News]

Women in Circuits (WiC) organized a mentoring and networking event that was held at the International Solid-State Circuits Conference (ISSCC) 2023 on Sunday evening, and participants played multiple rounds of getting-to-know-you bingo to prompt discussion prior to an open networking session. The bingo format was developed to encourage mingling and conversation between engineers attending the conference who might otherwise not get to talk to each other. Attendees were assigned to a table and provided with a 3 × 3 matrix to input professional and personal fun facts about themselves. The goal was to find commonalities with other people at the table, thus sparking conversation on shared interests; the first person to cross a row off got bingo! A Python script was used to automate the process of shuffling participants between rounds to new tables so that participants were matched with a unique set of people each time to maximize intermingling. The event was a resounding success, with more than 130 participants; the room was packed to capacity. Winners from each round won IEEE Solid-State Circuits Society (SSCS) swag such as T-shirts, umbrellas, and mugs.
Ruonan Han Receives the 2023 IEEE Solid-State Circuits Society New Frontier Award [Awards]

Presents the recipients of IEEE Journal of Solid-State Circuits awards for 2021.