Reviewerly/exHarmony huggingface dataset:
NON-INVASIVE GRADING TECHNIQUE FOR RUBY GEMSTONE USING CHARGE-COUPLED DEVICE (CCD)

Ruby is one of the most popular and high-value gemstones that always attract the gemologist and jeweler in the diamond market. The wide use of ruby in various industries makes the grading of this gems more complicated due to a lot of synthetic and imitation rubies are made. The current grading techniques are mostly depending on the human visual assessment which prone to errors. This paper proposes a system that helps in grading the clarity characteristic of the ruby in non-invasive manner. The system includes a charge-coupled devices (CCD) and laser that is designed in the most suitable and effective way to conduct inspection on the light intensity of the ruby which will then determine the clarity of the ruby. CCD linear sensor is widely known as the reliable sensor especially when use in the optical system. The CCD linear sensor capture the light intensity from the ruby and convert it into the voltage value. The result shows a value of 1.7918 V obtained from the CCD linear sensor when ruby is placed in the system. This concludes that the CCD system can detect even slightest changes in the light intensity that can pass through the ruby and falls on the CCD linear sensor. The system is proven to be a reliable and effective system with 80% accuracy.
Human Face Emotions Recognition from Thermal Images Using DenseNet

In the current scenario face identification and recognition is an important technique in surveillance. The face is a necessary biometric in humans. Therefore face detection plays a major job in computer vision applications. Several face recognition and emotions classification approaches have been presented throughout the last few decades of research to improve the rate of face recognition for thermal pictures. However, in real-time, lighting conditions might change due to several factors, such as the different times of capture, weather, etc. Due to variations in lighting intensity, the performance of the facial expression recognition system is not good. This paper proposed a model for human thermal face detection and expression classification. Four main steps were involved in this research. Initially, the Difference of the Gaussian (DOG) filter is utilized to crop the input thermal images and then normalize the images using the median filter in pre-processing step. Then, Efficient Net is used for extracting features such as shape, location, and occurrences from thermal face images. After that, detect human faces utilized by the YOLOv4 technique to better emotions classification. Finally, classify the emotions on faces by using the DenseNet technique into seven emotions such as happy, sad, disgust, surprise, anger, fear, and neutral. The proposed method outperforms state-of-art techniques for face recognition on thermal pictures, and classifies the expressions, according to experimentations on the RGB-D-T database. The accuracy, precision, recall, and f1-score metrics will be utilized with the database to assess the efficacy of the proposed methodology. The proposed models achieve a high classification accuracy of 95.97% on the RGB-D-T database. Furthermore, the outcomes show good precision for various face recognition tasks.
SPOKEN-DIGIT CLASSIFICATION USING ARTIFICIAL NEURAL NETWORK

Audio classification has been one of the most popular applications of Artificial Neural Networks. This process is at the center of modern AI technology, such as virtual assistants, automatic speech recognition, and text-to-speech applications. There have been studies about spoken digit classification and its applications. However, to the best of the author's knowledge, very few works focusing on English spoken digit recognition that implemented ANN classification have been done. In this study, the authors utilized the Mel-Frequency Cepstral Coefficients (MFCC) features of the audio recording and Artificial Neural Network (ANN) as the classifier to recognize the spoken digit by the speaker. The Audio MNIST dataset was used as training and test data while the Free-Spoken Digit Dataset was used as additional validation data. The model showed an F-1 score of 99.56% accuracy for the test data and an F1 score of 81.92% accuracy for the validation data.
Students’ Democratic Political Socialization in the Classroom: An Action Research at a School in Chania

The school, as it constitutes a living organism of social interactions can contribute to the political socialization of students, besides the roles of cognitive and social development it already performs.The aim of this research project is the creation of a successful democratic school community.Within the theoretical framework or action research at attempt is made to connect the theory of symbolic interactionism and Critical Pedagogy.An individual team participated in action-research which comprised of teachers-researchers, researcherfacilitator and social partners consisting of pupils and their parents of a second grade primary school in Chania.For the data collection, the method of triangulation was employed using participatory observation, qualitative informal semi-structured interview and sociometry.Results showed that gradually, following a constantly redesigned intervention program, the interpersonal relationships of students were improved, democracy and cohesion in classroom were increased, political skills of some socially excluded students were slightly improved and strong leadership tendencies shown by some others were reduced.At the same time, through the research it was found that students can separate social from political skills.
Multi-objective particle swarm optimization for regional crop planning

Indian agriculture is heavily dependent on natural resources and climatic situations etc. Uncertain behaviour of climate and continued depletion of natural resources can cause food security issues due to low production. Optimal crop planning is one of the essential tasks for utilizing the minimum resources to acquire the maximum benefit. A novel crop planning model is proposed here for the optimal allocation of available resources under a water scarred region like Bundelkhand using data for the year 2017–18. This study used an evolutionary algorithm called Multi Objective Particle Swarm Optimization using Crowding Distance, to solve the constrained multi-objective crop planning problems. Maximize net returns and minimize the water requirement were the two objective functions used here with area constraints. The optimized results obtained from the multi-objective model were compared with the single objective PSO and linear programming approach. Overall, optimizing the water requirement instead of taking it as a constraint gives better crop planning strategies by allocating the area to suitable crops. Pareto-optimal solutions obtained from the MOPSOCD shows the linear relationship between net returns and water.
Evaluation functions foreye tracking and optimization

This paper describes algorithms that learn to improve search performance in largeoptimization problems. The main algorithm, Stage, works by learning an estimatefunction that predicts the outcome of a search algorithm, such as hill climbing, from the characteristics of the states visited during the search. The learned evaluation function isis then used to guide future search trajectories towards more optimal solutions to the same problem. An-other algorithm, X-Stage, transfers the previously learned evaluation functions to new, similaroptimization problems. Empirical results are presented for seven large-scale optimizationin optimization: container packing, channel routing, Bayesian network structure determination, radiotherapytreatment scheduling, cartogram design, Bo olean requirement satisfaction, and Boggle board tuning.
Terapi Bekam (Hijamah) dalam Perspektif Islam dan Medis

Muslims have the holy book Al-Quran and Hadith as the main source of law in various issues, including health. One of the medical therapies mentioned in the Al-Qur'an and Hadith is cupping, which removes dirty blood from the body through a wound process carried out on the surface of the skin. This study aims to discover the history of cupping until it becomes a form of health therapy as well as views from the Islamic and medical side of cupping therapy. The method used is a literature study. Cupping therapy has existed since ancient Egypt and developed in various civilizations in various countries in the world, from Egypt, China, Europe, and America. The law of cupping in Islam is permissible and has been found in the books of nine hadith figures, special discussion of cupping is mentioned 275 times. The Prophet SAW recommended cupping in the middle of the month or after the middle of the month, but it is customary to do it in the third week. Cupping therapy in the medical world is explained using the approach of traditional medicine and modern medicine. Both agree that cupping therapy at certain points in the body can cure several diseases where the cupping is done or far from the area where the cupping is done. The benefits of cupping from a medical point of view are curing local ailments (neck pain, back pain, shoulder pain, knee pain, headaches, and migraines) and systematic diseases (Diabetes mellitus, hypertension, rheumatoid arthritis). In cupping therapy, it is mandatory to carry out infection control (washing hands before starting therapy, wearing complete PPE, disinfecting the skin and the place of therapy, managing waste, and trying to use disposable therapy equipment).
The Effectiveness of Communicative Approach in Enhancing Students’ Speech at SMA Negeri 1 Sukahaji Majalengka

The purpose of this research in general is to improve the quality of learning practices by using a communicative approach to teaching speech. The specific objectives to be achieved from the results of this study are 1). To obtain data on the ability of class X students of SMA Negeri 1 Sukahaji, Majalengka Regency in making speeches before learning by communicative approach. 2) To obtain data on the ability of Class X students of SMA Negeri 1 Sukahaji, Majalengka Regency in making speeches after learning by using a communicative approach. 3). To obtain data on the effectiveness of the use of a communicative approach in teaching speech to Class X students of SMA Negeri 1 Sukahaji, Majalengka Regency. The population in this study was class X SMA Negeri 1 Sukahaji Majalengka Regency with a total sample of 192. Data collection techniques were carried out through library research, pretest, and posttest. Students speaking ability before learning using a communicative approach is low. 61.0 % or more half of them do not yet have the ability to make speeches. The students speaking ability after learning by using a communicative approach there was increased the percentage reaching 72.6% or almost all of them had speeches. The use of an effective communicative approach can improve students’ abilities in teaching speech. The results of the calculation of the product-moment correlation test are known to have r = 0.884 or 88,4 % and based on the interpretation table, the correlation is very strong.
Model Blended Learning Pada Materi Bilangan Bulat; Eksperimentasi Pada Siswa Kelas VII SMP Negeri 6 Tondano

This study examined the average student mathematics learning outcomes when the Blended Learning Model was applied to learning integer material. The study design used was: Posttest Only Control Group Design. The population in this study was all of class VII at SMP Negeri 6 Tondano. In contrast, the samples in this study were class VII B, with 21 students as the experimental class and class VII A as the control class with 21 students. This study's analysis showed that the experimental class's average posttest score was 84,76, while the average posttest score for the control class was 74,28. The study results were analyzed using the T-test statistic at s significant level of 0,05, namely Tcount = 3,636 &gt; Ttable = 1,725, so that H0 was rejected and H1 was accepted. The Blended Learning Model can improve student learning outcomes based on these results.
Development of Geogebra Assisted Electronic Student Worksheets (E-Worksheets) to Improve Student Independent Learning

This study aims to produce teaching materials in the form of Electronic Student Worksheets (e-Worksheets) in the Geogebra Assisted Basic Mathematics Study course to increase student learning independence. The method used in this study is a model 4-D which consists of four phases, namely the define, design, development, and the disseminate. But in this study only up to the stage of development. Data was collected through the provision of validation questionnaires, student response questionnaires, and learning outcomes tests after using e-Worksheets. The results of the study show that: (1) The results of the validation for GeoGebra-assisted e-Worksheets are 3.08; learning outcomes test of 2.78 and learning independence questionnaire of 3.45 by experts (validators); (2) The results of the class trial were limited to the aspect of the student response questionnaire to the Geogebra-assisted e-Worksheets obtaining a score of 78.3% while the class trial results of 76.8% met the practical criteria. (3) And the results of the class trial were limited to the aspect of the student learning outcomes test, it can be seen that the percentage of student learning completeness is 80.21% while the results of the field class trial are 78.47% which indicates that the Geogebra-assisted e-Worksheets can be said to be effective.
Machine Learning for Clustering Regencies-Cities Based on Inflation and Poverty Rates in Indonesia

The COVID-19 pandemic has increased inflation and poverty rates in many cities, thus requiring considerable attention from the government as a policymaker. Therefore, this study aims to cluster regencies/cities that need mitigation priorities from the Indonesian government based on inflation and poverty rates in 2021. Four machine learning methods, namely k-Means (KM), Partitioning around medoids (PAM), Ward, and Divisive analysis (Diana) are utilized and compared to achieve that purpose. Clustering 90 regencies/cities in Indonesia produced five optimal clusters. Furthermore, the clustering results were validated using the Silhouette width (SW) and Dunn index (DI). The results showed that the k-means method produced the most compact cluster. Hence, this study's results can be utilized as a reference for the government in determining the steps and priorities of economic policy in Indonesia.
Discovery Blended Learning in Biology: Its Effectiveness on Self-Efficacy and Student Learning Outcomes in the New Normal Era

&lt;table border="1" cellspacing="0" cellpadding="0"&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td valign="top" width="369"&gt;&lt;p&gt;The limited face-to-face interaction has reduced school hours and resulted in students having difficulty understanding the lesson and completing assignments given by the teacher, and this caused a decline in learning outcomes. Optimizing the learning process in the new normal era will be effective by applying blended learning. One of the learning models that can support students is blended learning with discovery learning models. Through the discovery blended learning (DBL) model, students become more active in the learning process. This model can increase students' self-efficacy and collaboration with peers in the class because students feel confident and can solve a problem. This study aims to analyze the effectiveness of blended learning with discovery learning models on self-efficacy and learning outcomes in Biology subject during the new normal era. This research is a quasi-experimental research design with non-equivalent control of pretest-posttest group design. Data analysis was carried out by using the N-gain test and independent t-test. The results indicate that there is a significant difference in effectiveness in the class using DBL on student learning outcomes and self-efficacy with the control class using the conventional model. In DBL syntax, students' ability in formulating problems and finding concepts independently, and presenting results can help students improve learning outcomes and self-efficacy. The DBL model can be used as an alternative model to support students learning Biology at the high school level (SMA/MA) in Indonesia so that students are more active in discussions to solve problems related to the subject matter. This model is also expected to guide students to find concepts independently so that students become more confident and believe in their abilities, especially in the new normal era.&lt;/p&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;
Modeling of the Relationship Between BIST100 Index and Central Bank Interest Decisions by the Quantitative Decision Method

Central banks, which are among the most important institutions that shape the world financial history, monitor the financial markets, manage the volume of the national currency and monetary policies.Central banks use monetary policy decisions and monetary transmission mechanisms.Central banks, which have the power to manage and shape the markets, use this power; they use it to protect the value of the country's currency and to ensure price stability.The Monetary Policy Committee (MPC), which is within the institutional structure of the CBRT, regulates interest rates with the monetary policies it implements and thus directly affects the financial markets.These policy decisions of the MPC may affect not only the Turkish financial system, but also other markets to which it is connected.The factor that creates this effect is realized through the money transfer mechanisms created by the MPC's interest and similar decisions.money transfer; It is the process that determines the demand of monetary changes and the direction of the products being affected (Alkan, 2016: 153).As a natural consequence of this process, investment decisions are also affected.Interest rates are determinant on investments and consumption expenditures.Stock exchanges are important institutions that mediate the evaluation of investments in capital markets.Stocks are one of the main investment instruments in financial markets.BIST is an international platform for investors who buy and sell stocks in Turkey.Operating in the markets under the name of Istanbul Stock Exchange (IMKB) between 1985 and 2012, BIST provides liquidity and resources to the market and also fulfills an important financial function that allows the ownership to be spread to the public.Determining the most appropriate interest rates simultaneously with market conditions is one of the most important monetary policies.In this study, the effect of the maximum interest rate decisions on deposits taken by the TCMB between January 2010 and February 2022 on the BIST 100 index was examined.. LITERATURE SURVEYWhen the studies on stock exchange interactions are examined in the literature, the relations between exchange rates and stocks are frequently encountered.The findings of these studies can be evaluated in three groups.First, the relationship between the two variables, regardless of whether it is short or long term, has been determined.Among these studies;
Workflow Sensitive Access Management in Serverless Computing

In recent years, serverless computing has been emerging as a most profitable cloud framework, which drastically improves the development and deployment policy of online services, but as a result, it is highly exposed to tempting targets for attackers. These attackers are proposing innovative strategies to get beyond the transitory nature of serverless activities by taking advantage of container reuse for the execution of stateless functions. The external request for function invocation must be extensively verified to protect the valuable resources from attackers. Traditional access management policy usually checks the individual inbound request for function invocation by ignoring other dependencies associated with the complete workflow. In this paper, we have proposed a two-phase workflow sensitive access management (WAM) policy that provides authentication tokens and checks whether the incoming request possesses all the necessary permission or not. WAM is based on a state-dependency graph which is a representation of allowable permission required to make transitions among the functions in the workflow. AWS Lambda is considered as the base framework where WAM policy is integrated. The effectiveness of WAM is verified using four real-world serverless applications and the performance is extensively compared with other standard serverless frameworks like Openwhisk, Openfaas, and Microsoft Azure.
Formation of managerial competence of future managers of education during professional training

International scientific conference «Information technologies and management in higher education and sciences» : conference proceedings (November 28, 2022. Fergana, the Republic of Uzbekistan). Part 1. Riga, Latvia : Baltija Publishing, 2022. 392 pages.
Risk management in institutions of higher education

International scientific conference «Information technologies and management in higher education and sciences» : conference proceedings (November 28, 2022. Fergana, the Republic of Uzbekistan). Part 1. Riga, Latvia : Baltija Publishing, 2022. 392 pages.
Information technologies in modern conditions of training of higher education specialists

International scientific conference «Information technologies and management in higher education and sciences» : conference proceedings (November 28, 2022. Fergana, the Republic of Uzbekistan). Part 1. Riga, Latvia : Baltija Publishing, 2022. 392 pages.
A systematic approach in the management of research work in a pedagogical institution of higher education

International scientific conference «Information technologies and management in higher education and sciences» : conference proceedings (November 28, 2022. Fergana, the Republic of Uzbekistan). Part 1. Riga, Latvia : Baltija Publishing, 2022. 392 pages.
VOCABULARY TEACHING STRATEGIES BY EFL TEACHERS OF JUNIOR HIGH SCHOOL LEVEL

This research is dedicated to the research vocabulary teaching strategies by EFL teachers of Junior High School. The rationale of this research is to investigate the teachers’ strategies in the teaching and learning process. In addition, this study applied a qualitative approach to analyze data Data were collected in-depth survey by questionnaire with ten teachers as respondents. In collecting data there 3 steps, namely The writer selected the respondents (ten teachers), the writer made ten questions in a questionnaire for respondents by using google form and The writer wrote a survey’s answer based on the survey that had been recorded.In this research, the questions are divided into two parts namely, multiple-choice and essay. In the multiple-choice, the teacher just chose one of the options and on the essays, the teacher can give short or long answers. The data were analyzed in some way:(1)classify data,(2)make a transcript data in written language, (3)Give a sign, and (4) gather the same sign. In general, a result shows the teacher strategies in (1) teacher preparation in teaching vocabulary,(2) sources of vocabulary teaching, (3) kind of teacher question, (4) teacher activities during the teaching process, and (5) students activities during the earning process. This result can be seen by the teacher’s answers in the questionnaire. This result is expected to help the teacher to learn vocabulary and will greatly contribute for the teacher to teaching vocabulary