Reviewerly/exHarmony huggingface dataset:
Geochemistry of Mafic-Intermediate Intrusive Rocks from the Twangiza-Namoya Gold Belt, Eastern Democratic Republic of Congo: Trace Element Constraints on their Origin, Petrogenesis and Tectonic Setting

Bulk geochemical data for the Twangiza-Namoya Gold Belt, Democratic Republic of Congo, are presented in order to classify the rock assemblages, elucidate their petrogenesis and tectonic settings. Nb/Yb and Zr/Ti constraints reveal two suites for the rocks: sub-alkaline to andesitic basalts (Suite-1); and alkaline basalts (Suite-2). Ratios of Ti/Zr = 22–70; Zr/Hf = 35–42; Nb/Ta = 12–13; Nb/Th = 1–2 and La/Nb = 2.4–3.8 suggest arc-generated mantle melts with crustal inputs and arc-fluids metasomatism for Suite-1. The samples have positive LILE and negative Nb, Ta, Ti anomalies, enrichments in the LREE over middle and HREE (La/Yb)CN = 3.6–8.9 with negative Eu anomalies (0.7–0.9) in Chondrite-normalized diagrams. Yb-Th/Ta and Ta/Yb-Th/Yb ratios suggest active continental margin settings, whereas Ta/Hf-Th/Ta and Nb/Yb-Th/Yb diagrams suggest a depleted MORB source. Ti/Zr, Zr/Hf, Nb/Ta, Nb/Th and La/Nb constraints for Suite-2 suggest MORB and oceanic plateau basaltic sources. REE patterns show enrichments in the LREE with negative to positive Eu anomalies (0.7– 1.3). Yb-Th/Ta and Ta/Yb-Th/Yb ratios suggest a within plate tectonic setting. It is suggested that Suite-2 rocks were sourced from mantle-derived melts with a composition between an enriched MORB to OIB.&#x0D; Keywords: Twangiza-Namoya; Petrogenesis; Tectonic setting; Trace element ratios
Three-Dimensional Control Charts for Regulating Processes Described by a Two-Dimensional Normal Distribution

In the statistical management of processes in the initial phase, the stability of the technological process is determined based on the available samples.If the process is not stable, eliminating possible causes is brought into a statistically controlled position.At the same time, simple Shewhart control charts are used.In practice, some methods bring the process to a stable state (ISO standards, standards of various states).After the process has become stable, the boundaries of control charts are found for further management.Then, with the help of new samples, the process is managed.The article considers a process modeled by a two-dimensional normal distribution.New control charts have been found to check the normality and correlation of two-dimensional random variable components.The process is regulated using these charts, preserving the shape of the density of the individual components of the normal vector and linearity of these components.When constructing control charts, the Kolmogorov-Smirnov type agreement criterion and the Fisher criterion on the strength of the linear coupling of components were used.A concrete example shows the course of the introduction of these charts in production.The work results can be used in the initial phase of regulation and during the control check of the process under study.We used these control charts to assess product quality and quality control coming from the machine that produces the sleeves.It presents statistical methods for analyzing problems in factory practice and solutions for their elimination.
An Analysis of the Oral Communication Barriers in Face-to-face Communications Towards the Development of an Intervention Program in Speaking

This study aimed to unravel the speaking barriers experienced by the criminology students in face-to-face oral communications, the effects of these barriers in their speaking performance and the strategies they use to cope with these speaking barriers. Results from these queries served as bases in developing a remedial intervention program that aims to improve students’ English-speaking skills and overcome their communication barriers most specially in face-face-to settings. To achieve these aims, this study used qualitative descriptive design with semi-structured interview as data gathering tool. Nine criminology students were interviewed. Results showed that the oral communication barriers experienced by these 9 criminology students in face-to-face communications with English as medium include lack of knowledge of the English language such as vocabulary, grammar, and pronunciation; limited content knowledge/topical knowledge; and psychological related constraints. Meanwhile, results showed that the oral communication barriers experienced by the criminology students result to misinterpretation of the meaning they want to convey and mental blackouts. Findings also showed that the participants employ strategies in coping with the oral communication barriers and in avoiding being misinterpreted and mental blackouts, these include watching English movies, reading, practicing oneself to speak in English alone, googling, and interacting with others.
The Effect of the Phenomenon of Phubbing on the Organizational Behavior of Administrators Working in Vocational Education Schools in The Light of the Variables of Appreciation and Provision of Attention to Employees

The aim of this research is to identify the effect of the phenomenon of Phubbing on the organizational behavior of administrators working in vocational schools in the light of the variables of appreciation and Provision of Attention to Employees. The research community consisted of (45) administrators, who were selected in a stratified random manner. The descriptive survey method was used in the current research. To achieve the objectives of the research, a questionnaire was developed, and its validity and reliability were confirmed. The results showed that the effect of the phenomenon of Phubbing on the organizational behavior of administrators working in vocational education schools in the light of the variables of appreciation and concern for workers was medium. The results of the research also showed that there were statistically significant differences at the significance level (α ≤ 0.05) according to the gender variable in favor of the male category. And there were no statistically significant differences according to the educational qualification variable, and there were no statistically significant differences according to the years of experience variable. In light of these results, the research recommended that the administrations of vocational education schools attach great importance to organizational behavior And work on treating it and alleviating the obstacles it faces and trying to tackle the phenomenon of Phubbing, So that it works to stimulate conducting studies and research from time to time to find out the effects of this phenomenon on organizational behavior in various circumstances and organizational variables in the educational administrative environment.
Can Servant Leadership and Perceived Organisational Support amplify Organisational Commitment among Operational Hotel Employees in Malaysia during the Coronavirus Disease (COVID-19) Pandemic? A Correlation Analysis

The aim of this study called for identifying a correlation, and, if present, the kind of correlation present between the elements of servant leadership, perceived organisational support, and organisational commitment among hotel employees in Malaysia.The underpinning data was based on the opinions of 52 hotel employees selected via stratified random sampling from four operational departments, namely the Front Office, Food and Beverages (F&B), Housekeeping, and Kitchen segments.Post-data analysis subjected to data obtained during the study, servant leadership and perceived organisational support were both found to highly correlate with organisational commitment in facing the Coronavirus disease (COVID-19) outbreak unleased in December 2019.Thus, the output would undeniably contribute to the hotel industry, leaders of said industry, and hotel employees alike in amplifying the level of commitment directed to organisations in the face of a tough situation, such as the COVID-19 pandemic that had occurred worldwide.Accordingly, recommendations for field-adjacent future studies were also furnished to aid the hotel industry in the future.
A Study on Farmers’ Perception about Uzhavan App in Select Districts of Tamil Nadu

ICT provides more facilities to farmers by introducing agricultural mobile apps and encourage the farmers for effective farming. These mobile apps provide agriculture related information to farmers in timely and cost effective manner. The present study is carried out to find the farmers perception on uzhavan app which is developed by Government of Tamil Nadu. More than 5 lakh farmers have registered in this app and get various benefits. The uzhavan app has been used by many farmers in gaining more information about agricultural activities. Respondents revealed that dissemination of information through the uzhavan app is valuable and user friendly. The major challenges faced by the farmers were network problem mainly during the ATMA training registration, lack of price details of few commodity and in minor problem time consumes to use all services, app is quite difficult to use due to poor content visibility. From the study, it has been found that majority of farmers had good perception about the uzhavan app and they are satisfied with the features that support them in farming and they also expect some other features need to be integrated in uzhavan mobile app. The uzhavan app provides real time market price of some agricultural commodities and it has greater impact in selling farmers produce at fair price in mandis. Meanwhile, the features of e market online platform helps farmers to connects directly with traders and sell their produce at good price. The availability of farm guide in app provides information regarding fertilizer recommendations practices where most of sample respondents adopted recommended usage level and has positive impact in farming by increasing the yield of farmers.
VMD Based Image Quality Enhancement Using Multi Technology Fusion

Despite the success of various enhancement techniques used in many bio-medical applications, edge-preservation-based image enhancement remains a limiting factor for image quality and thus the usefulness of these techniques. In this paper, a new enhancement technique combining the variational mode decomposition (VMD) with the Sobel gradient and equalization technique is proposed. The proposed algorithm first decomposes the image into various sub-modes based on their frequency. The low-frequency components are equalized using the conventional equalization technique, whereas the high-frequency components use a traditional filter. Finally, the edge of the original image is added to the processed image for quality assurance. The proposed algorithm has two advantages over the existing approaches by enhancing only the low-frequency components to extract the hidden artefacts and specifically de-noising the high-frequency component. This process not only enhances the contrast, but also preserves the brightness of the image. A comprehensive study was conducted on the experimental results of benchmark test images using different performance measure matrices to quantify the effectiveness of the approach. In terms of both subjective and objective evaluation, the reconstructed image is found to be more accurate and visually pleasing. It also outperforms the state-of-the-art image-fusion methods, especially in terms of PSNR, RMSE, mutual information, and structural similarity.
Analyzing Data Encryption Efficiencies for Secure Cloud Storages: A Case Study of Pcloud vs OneDrive vs Dropbox

Now more than ever has it become important to keep the information confidential in an age that is losing its value of individual privacy. In this cloud computing era, regardless of the power of the cloud computing concept, many people do not know that their information can be used and sent to third parties from their cloud storage provider. Today the use of cloud storage is well established however the security of protecting the data on the cloud is a limited thought for most users. Therefore, this study aims to experimentally research which encryption program works best when storing data onto three of the main cloud storage providers currently available on the market. This study will go over the hardware and network impact as well as the time to encrypt and decrypt the data. This study will determine if “7zip” or “rclone” encryption programs work best with these three cloud storage. The data will be collected using NetData tool and accordingly determine which encryption application works best with which cloud storage provider. Thereafter, based on the data analysis, it is recommended that experimental outcomes to all users to keep their sensitive data secured and safe from snooping or prevent private information from being collected and sold to third parties with the help of black market.
PENGARUH METODE MIND MAPPING DALAM MENULIS KOMPREHENSIF UNTUK MAHASISWA KESEHATAN MASYARAKAT DI INSTITUT KESEHATAN MEDISTRA LUBUK PAKAM

The goal of this research is finding and describing the effect of mind mapping on writing skill for Public Health students Health Institute of Medistra Lubuk Pakam. The research study used a quasi-experimental study. A total of 64 students came from two different groups, Class A (32 students) as the experimental group and Class B (32 students) as the control group. The students in the experimental group used rational teaching, and the students in the control group used conventional technical teaching. Analyze data using pre- and post-tests. The experimental group and the control group were pre-tested before treatment, and post-test was carried out after treatment. Data from pre- and post-tests were examined using descriptive and inferential statistics. After the data were tested and found to be homogeneous and normal, the hypotheses were tested using SPSS (Statistical Package for the Social Sciences). The research result shows the difference when students write by using mind mapping and students write by not using mind mapping in the writing ability. The result can be seen by hypothesis testing through SPSS (Statistical Package for The Social Sciences). Significance values ​​were greater than the significance level of 0.01 (&lt;0.05), which meant that the data from this study were considered not significantly different. Therefore, the hypothesis of this study was confirmed. It can be concluded that mind mapping significantly improves students' writing ability for health students at Health Institute of Medistra Lubuk Pakam.
Developing Competences in Future Primary School Teachers under the Conditions of Teacher Education Standardization: A Theoretical Review

Mathematical competence plays an essential role among subject-specific competences of primary school teachers. One should be able to think mathematically, understand mathematical proofs, communicate in “the language of mathematics” and use appropriate codification resources, which makes the concept of mathematical competence rather vital. The concept of primary school teachers’ mathematical competence can be specified through its structure. In this regard, this article analyzes scientific approaches to determining the components of this phenomenon. The structure of future primary school teachers’ mathematical competence is viewed as a system of the following components: motivational-axiological, cognitive, activity-related, communicative, reflexive-creative. It must be noted that the process of developing the structure of this competence and its components, especially content- and activity-related ones, required the authors of the article to analyze regulatory documents and syllabi of the mathematics course of six higher education institutions (HEIs) in Ukraine. All the analyzed syllabi indicate which knowledge, skills and abilities future graduates should possess. The chosen HEIs distribute academic workload differently; at the same time, the content of educational material to be studied is almost identical. The elements of future primary school teachers’ mathematical competence are as follows: arithmetic, algebraic, geometric, that of identical transformations of mathematical expressions, logical
Problems of Cascade Type and Their Use for Assessment of Students’ Academic Achievements in Mathematics

Mathematical problems that contain a common condition and an ordered list of tasks are traditionally called cascade problems. Problems of this type are extremely popular during teaching of mathematics. At the same time, they can be used both in the formation of knowledge, skills and abilities (competencies) of students, and to assess their academic achievements. In the paper we give a thorough theoretical analysis of possible types of cascade problems, describe methodology and provide examples of their applications on different stages of studying mathematics at school, in particular, during the final attestation of graduates. According to our statistical survey of mathematics teachers in Ukraine and Republic of Moldova, we clarify their attitude to problems of cascade type, as well as the advantages and disadvantages of using such problems. It is shown that the use of cascading problems in the school course of mathematics contributes to the adequate formation of important competencies of students in their learning process.
Analisis Strategi Pemasaran Berkonsep Low Cost Carrier (LCC) Untuk Meningkatkan Daya Saing Dengan Pendekatan Analisis Swot (Studi Pada Maskapai Penerbangan di PT.Lion Air)

This study aims to determine the marketing strategy carried out by the Lion Air airline with the concept of Low Cost Carrier and to know the SWOT analysis of the marketing strategy to increase the competitiveness of Lion Air. This study uses qualitative methods, data collection with documentation, observation and interview techniques. Source of data comes from primary data through interviews with managers of Pt. Lion Air, while secondary data was extracted from the internet site. The results of the strategy used by Lion Air airline with the Low Cost Carrier concept have been going well and become an attraction for consumers, then SWOT analysis on Lion Air airline using the company's strengths and opportunities can facing or avoiding the weaknesses and threats of other companies. So it can be concluded that Lion Air has great strengths and opportunities.
A Study on the Translation of Cultural Classics Based on Deep Learning Methods

China’s cultural classics have high artistic and ideological values in the world, which implies China’s historical heritage and the inheritance of the cultural situation of the Chinese nation for thousands of years. At present, with the rapid development of China’s economy, especially in the development environment of cultural globalization, China’s traditional cultural classics have attracted worldwide attention along with historical and cultural treasures. In fact, other countries need to translate cultural classics out of their love for China’s cultural classics or academic research. However, there are a large number of cultural classics in China. According to relevant data, there are approximately 35,000 kinds of cultural classics, out of which only 0.2% are translated into foreign languages. In order to make China’s excellent cultural classics known to the world and let more people in other countries understand Chinese culture, this paper studies the translation of cultural classics through in-depth learning. Firstly, this paper introduces the basic concept of deep learning and proposes an algorithm that deeply studies the convolution layer and pool layer. Secondly, the algorithm establishes a deep learning model that calculates and counts the text information of ancient books through explicit intertextuality. Thirdly, the model carries out automatic text translation and lists the analysis process of cultural classics translation based on intertextuality, so as to study cultural classics translation. The obtained results can promote the development of cultural classics translation in China. For the translation of complex cultural classics, the effects of the three models are tested experimentally, of which the sequence model (seq) is the best. This model is fast and simple to extract the text of literary classics.
Study of Binary Logistic and Poisson Regression Models of Diabetic Patients in Nigeria using Dichotomous and Non- Dichotomous Predictors

The comparative study of the Binary-logistic and Poisson regression models of diabetic patients in Nigeria was presented using R-squared, Adjusted R-squared, Variance Inflated Factors and Akaike Information Criterion for two different data sets of Diabetic Patients known as the dichotomous and the Non-dichotomous data obtained from the University of Port Harcourt Teaching Hospital (UPTH). The results revealed that the Binary logistic regression was better than the Poisson regression for both dichotomous and non-dichotomous data. It was also, observed that, the Binary-logistic regression model was significant in this study with a non-dichotomous data set, while Poisson regression was not significant. The results also showed that both the type 1 and type 2 diabetes have negative effects on the diabetic Patients.
Data Analysis Analisis Sentimen Publik Terhadap Sekolah Tatap Muka Saat Covid-19 Pada Twitter Menggunakan Metode Lexicon Based

Lately the whole world is rampant hit by the Corona Virus outbreak. Indonesia is not spared from the spread of this virus, with the Covid-19 in Indonesia making many adverse impacts that arise such as in the social, tourism, economic and education fields. The Minister of Education and Culture issued a circular on March 24, 2020 which contains about the learning/teaching process will be done online or online to reduce the number of virus spread in schools, after online school trials there are still many shortcomings, for example inadequate internet access. Because it was felt that online learning was less effective, of course this policy invited a lot of public comments, especially on social media twitter. This study aims to find out the comments whether it falls into the classification of sentiments that have been dividen into 5 classes, namely very positive sentiment, positive sentiment, negative sentiment, very negative sentiment, and neutral as well as to know the percentage results of each class. Lexicon Based's research method uses vader sentiment. The percentage accuracy results of 3000 tweet data were 1.3% very positive, 6.04% positive, 3.9% negative, 0.54% very negative, and 88.23% neutral.&#x0D; Keywords: sentiment analysis, lexicon based, covid-19, pandemic, twitter
Influence of Tusome Early Grade Reading Intervention on the Reading Abilities of Learners in Public Primary Schools in Nandi County, Kenya

Early Grade Reading Interventions have been introduced in several countries both developed and developing in a bid to respond to low educational outcomes. Interventions seek to improve certain skills that learners have not sufficiently acquired. Therefore, the provision of learners with an early start in reading is highly associated with developed reading skills in the long term. The study sought to find out the influence Tusome, an Early grade reading intervention, had on the reading abilities of learners in public primary schools in Nandi County, Kenya. The study’s research question was what was the influence of Tusome Early grade reading intervention on learners reading abilities in public primary schools in Nandi County, Kenya. The study was grounded on Marie Clays’ literacy processing theory of reading. The study adopted a causal-comparative research design with data being collected from a sample size of 200 class six and seven learners in public primary schools in Nandi County. Sampling was done using stratified and simple random sampling techniques. A pupil’s reading test and an observation schedule were used as the instruments of data collection. A comparison was made between class six, who underwent Tusome and Class Seven who did not undergo Tusome. The study found out that class six who underwent Tusome performed better than class seven who did not undergo the intervention.