Reviewerly/exHarmony huggingface dataset:
MINERAL DEPOSIT PLACEMENT IN THE OLIGOCENE-PLIOCENE SEDIMENTS OF THE TORGAI TROUGH AND THEIR PROSPECTS

The aim of this study is to determine the prospects of the region for the identification of new objects. For this purpose, it was necessary to solve the tasks of analyzing and summarizing all available geological data on the Torgai trough and based on this, to make forecast maps and determine the prospects for identifying deposits. Analysis of extensive factual data and outcomes of the sedimentary cover minerals was followed by interpretation of sections at the basic outcrops and wells. All this work resulted in compilation of a new stratigraphic chart of Oligocene-Pliocene deposits of the Torgai trough (Northern Kazakhstan). The paragenetic connection of a number of minerals (placer gold of buried ancient valleys, oolitic brown-iron ores, zircon-rutileilmenite placers, brown coals and lignites) with the deposits was established, their distribution regularities were determined, and their prospects were assessed. This approach allows to plan geological exploration work to search for new mineral deposits. Two structural complexes are distinguished in the section of the Torgai trough: complexly dislocated Precambrian and Paleozoic rocks that form the folded basement; and weakly dislocated Mesozoic and Cenozoic sediments that form the sedimentary cover. Features of the structure of Oligocene-Pliocene sedimentary basins of the Turgai Trough, lithological and facial composition of the strata composing them, and the minerals confined to them allowed to make prediction maps for promising types of minerals on the tectonic basis and to conduct systematics of minerals.
STRUCTURAL POSITION, MAGMATISM AND MINERALISATION OF BAKYRCHIK ORE FIELD (KAZAKHSTAN)

The East Kazakhstan territory is the unique geologic province where a number of largescale non-ferrous and gold deposits are concentrated. Gold base metals (goldcontaining) type is represented by gold containing sulphide complex deposits. The Western Kalba zone is characterized as a gold-bearing structure of multi-stage development and long ore-preparation and ore-forming processes. At the first stage, in the conditions of the intercontinental sea basin (C1-2, C2), the donor carbon-terrigenous formation (Arkalyk, Bukon formations) is formed; in the formations of which the rejuvenation of primary gold occurs in C2-3 during establishment of shear zones and manifestation of regional metamorphism. Further, in the course of manifestation of collision-accretionary magmatism (the hypabyssal plagiogranite-granodiorite formation of the Kunushsky complex, C3) of fluidic-magmatogene activity and hydrothermal metasomatism there formed the concentrated mineralization of vein-disseminated, vein and stockwork types. The peculiarities of the formation of gold mineralization of the Bakyrchik ore field, as well as the influence of deep-lying intrusive rocks on the formation of ore bodies were studied and the results of these studies are presented in this article.
Research on Mobile Platform for Field Operation of Power Grid Infrastructure under the Digital Transformation of Power Grid

Under the background of digital transformation of power grid, how to tap the value of digital technology to enable power grid infrastructure management business has become the focus of current power grid construction business digitalization. This paper analyzes the characteristics of digital technology represented by mobile applications, combines the requirements of power grid infrastructure field operations, deeply studies the application direction of digital technology and power grid infrastructure business, builds a mobile platform for infrastructure field operations, conducts relevant analysis from the perspectives of site construction and construction management, and standardizes the project site management processes such as daily management, safe operation, and construction supervision management, The design method of system component layering is adopted to complete the system function development. The system gives full play to the advantages of digital technology, comprehensively improves the power grid infrastructure site operation management ability, and effectively promotes the digital transformation of power grid construction.
From the Editor's Desk

I would like to open my second issue as editor of Italica by conveying my best wishes for a restful winter break to our editorial board, publisher, contributors, gracious peer reviewers, and readers. May we enjoy our favorite vacation spots and the company of our beloved ones before the start of a new academic semester, filled with hopes of new achievements.Issue 99.2 includes a variety of thought-provoking articles on literature and language while providing a special focus on the Sicilian writer Giovanni Verga, who died January 27, 1922. I am very proud to share essays authored by Gabriella Alfieri, president of the Fondazione Verga and academician of the Crusca, Andrea Manganaro, vice president of the scientific council of the Fondazione Verga as well as member of Italica's editorial board, and Antonio Di Silvestro, faculty member in the Department of Scienze Umanistiche and director of the Centro di Informatica Umanistica at the University of Catania. The celebrations of the writer Verga, father of the Italian verismo, started January 27, 2022, and will conclude in the month of December 2022 with a conference sponsored by the University of Catania and the Fondazione. Both institutions have planned and implemented together all the scholarly, cultural, and editorial engagements related to the local author, interacting with various other entities, at the national and international level. Among these are the University of Toronto (Canada); Université de Paris 3 – La Sorbonne – Centre Zola (France); Universitad de Salamanca and the Universitad de Sevilla (Spain); and Università Statale di Milano, Università di Pavia, Università di Firenze, Università di Siena, Università per stranieri di Siena, Università di Palermo, Università di Messina, Accademia della Crusca, Centro di Studi Filologici e Linguistici Siciliani di Palermo, and Società di Storia Patria per la Sicilia orientale (Italy). Throughout the year, the Foundation has also been advancing the digital distribution of the writer's work, with the support of the Ministry of Culture. In December 2021, the Sicilian filmmaker Lorenzo Muscoso launched the “Verga 100” event with a series of theatrical, cinematic and musical appointments throughout the Italian and European territory. On January 27, 2022, he launched the official book of the centenary, announced the postage stamp dedicated to the novelist made in collaboration with the Ministry of Economic Development, and organized the broadcasting of Jeli il Pastore, Cavalleria Rusticana, and La Lupa. This focus is our humble homage to the unforgettable work of literary luminary Giovanni Verga.Buona lettura!
Bitcoin Price Prediction Based on Machine Learning and Granger Causality Test

Recently, more and more investors have seen the huge profits that the digital currency market can bring, and Bitcoin price predictions are becoming more valuable both academically and in terms of business value.In this paper, we use the daily price of bitcoin from September 12, 2016, to September 10, 2021.Data pre-processing includes moving average (MA) and BIAS.To find out the causality relationship between two factors, we use Granger causality test.Then we predict bitcoin price with Support Vector Machine (SVM) based on sliding window from machine learning methods and Autoregressive Integrated Moving Average (ARMA) method from statistical methods.The results show that there is causality relationship between gold and bitcoin.Besides, by comparing the Mean Squared errors (MSE) of 7-daymodel, 14-day-model and ARMA model, we find that the ARMA model outperform the others, which reminds the investors to focus more on this model.
Research and Implementation of Online English Education Learning Performance Prediction Under the Background of Big Data

In the context of big data, mining and analyzing massive data resources in the education field is conducive to making correct decisions for education and teaching based on reference opinions and improving the quality of education.Online English education learning performance prediction is one of the most popular research problems in the field of educational data mining.Based on the background of big data, this article will launch the study of online English education learning performance prediction.This article first introduces the main functions of the online English education learning performance prediction system, then designs the key function modules of the learning performance prediction system, and discusses the learning performance prediction algorithm.This paper conducts experiments on the performance of the designed learning performance prediction system, and it is concluded that the highest accuracy rate of this system for learning performance prediction reaches 87.94%, and the highest accuracy rates of SVM algorithm and decision tree algorithm are 73.41% and 72.13%.This shows that the online English education learning performance prediction system has a high accuracy rate.
User Experience Analysis for the Use of Electronic Signature in the Academic Activities

During the Covid-19 pandemic that has spread all around the world, the government has announced policies for conducting physical distancing among people and doing work from home (WFH), including in the academic field.Although in WFH there are still tasks that can be done, some activities are still challenging in WFH.One of which is signing a document.In WFH, signing a document tends to be facilitated by using an electronic signature.By using an electronic signature, the people who sign a document do not have to meet directly in one location.They can sign a document through a dedicated system.This kind of process will make the business process becomes easier.Although many papers have discussed the technical aspects behind any electronic signature, there is rarely a comprehensive analysis related to the user experience analysis of the electronic signature from the user perspective.This paper comprehensively analyzes the user experience of electronic signature usage in academic activities.Here, we use the University of Mataram as our research location.According to our research, we conclude that the scores for pragmatic and hedonic qualities are 1.66 (good) and 1.74 (excellent) respectively, so that the final conclusion of the test is 1.7 (excellent).
Peer-Review Statements

All of the articles in this proceedings volume have been presented at the International Conference on Computer, Information Technology and Intelligent Computing 2022 (CITIC 2022) during 25th–27th July 2022 in Multimedia University, Cyberjaya, Malaysia (online).
Mediating Schema Ontology for Linked Open Data Cloud Integration Using Bottom-Up Schema Mapping

Flexible data integration from heterogeneous sources, formalization of database schema, and consequent support and facilitation of knowledge discovery have become crucial to gaining competitive advantage.Consequently, its validity ("building the right system"), verification ("building the system right"), and efficiency are key factors, which enable more effective intelligent mining and recommendations.The Linked Open Data Cloud (LoD Cloud) is Cloud-based open data, which can be accessed using open standard protocols, such as HTTP, URL and URI.Enabling automated ontological information integration has commonly involved ontology as a mediator, which reconciles and provides a unified view of data structure, and as a mapping interface with the source database schema.Our approach to ontology versioning creates a mediating ontological layer, which encompasses a set of ontological properties which become updated based on queries by the user.We extend our prior work in terms of the change of data type property, object property and IS-A relationship are included in this paper and method/behavioral changes.The experimental results indicate 87% Precision, 100% Recall and 93% F-measure.These indicate that our approach has successfully captured changes in the database schema as changes in mediated ontology.We have also addressed the problem of change alignment when overlapping topics are discovered in mapping ontologies via formal validation and optimized via description logics consistency checking.
IoT-Based Flow Control System Using Node MCU with PI Controller CHR Tuning Method

In community life, the availability of clean water has been decreasing with the decrease in water quality of community consumption.This is obtained from reality and surveys in several villages.Compared with the results of reports from the National Statistics Agency, the province is very volatile and tends to increase every year.In this event, there is an imbalance between the report and reality so sometimes the community can not do anything.it is better if the community or everyone should control the use of clean water.This is an effort to stabilize the availability of clean water in the community.The objective of this study is to provide solutions to tackle those problems by controlling the water flow through a smartphone.Therefore, the consumers who get less water distribution for their daily needs will decrease.The method used to regulate the water flow rate is PI control with the Chien Hrones Reswick (CHR) tuning method.The results show that the Chien Hrones Reswick method produces a better and faster response to achieve a stable condition.Furthermore, when the system is given a disturbance, the response from the sensor can reach a stable condition.Moreover, when the setpoint is changed, the response from the sensor can still follow the setpoint changes and can achieve a good and fast steady state.
Improving the Loyalty in the Digitalization of the Brand for the National Pharmaceutical Brand Image

This study aims to improve the loyalty of digital natives in the digitalization of the brand by constructing an innovation model for a national pharmaceutical brand image.This study uses Literature review to understand the current demand for identify the digitalization of the brand and the national pharmaceutical brand image.Later it uses Case Study to analyze the factors of how national pharmaceutical brand images could construct an innovation model in the digitalization of the brand.Results of the study would include a background understanding of the current demand for national pharmaceutical brand images.Categorize the national pharmaceutical brand image and find the best way to digitize the brand.Results of the study would include a background understanding of the current demand for national pharmaceutical brand images.Categorize the national pharmaceutical brand image and find the best way to digitize the brand.In addition, the expected outcome will document the background description of the national pharmaceutical brand image.Through the analysis of latent feature variables and latent categorical variables, it recommends finding the best method for brand digitization.Identifying the potential for digitalizing the brand culture variables required construction(variable) for the construct construction model.The study contributes to the model for increasing the loyalty of digital natives by building a strategic development of the national pharmaceutical brand image.
Scenery Classification Using Convolutional Neural Network Towards Indonesia Tourism

Indonesia is a country that possesses natural wonders and historical buildings, which made Indonesia become one of the popular tourist destination.The scenery classification is a challenging task where the feature distribution from each image may spread.In addition, Indonesian tourism spots are plentiful.In this research, we proposed to utilize deep learning for tourism spot classification using Convolutional Neural Network (CNN) as feature extraction.The dataset consists of different tourism varieties, from man-made objects such as monuments to natural objects such as mountains or beaches.The dataset was selfgathered from the internet and various social media with different angles and does not include any images that dominantly contain people.In addition, in the context of CNN as the basis of feature extractor, we also compared the result with pre-trained CNN architecture trained with Place-365 and ImageNet dataset.The first test was conducted with shallow CNN achieving 48% for the non-augmented dataset and 51% for the augmented dataset.The second test performed with VGG16 and ResNet, combining data augmentation and a pre-trained network.The result reveals data augmentation improves the validation accuracy.Pre-trained VGG16 with Place-365 achieved the highest validation of 90% compared to the other combination.A pretrained network with an augmentation combination improves the model performances significantly by a rough margin.
University Students' Perspectives Toward Using MALL in Learning English Language

The researchers notice that mobile device has provided flexible environment to learn different subjects, English language is among these subjects. Thus, English Language learners' perspectives of using mobile in learning is one of the major factors for adoption Mobile Assisted language learning (MALL) applications in the university educational environment. The present study aims to investigate undergraduate students' perspectives (in the Department of Media- College of Arts -University of Anbar) toward learning English language as an ESP subject, to shift towards implementing MALL in teaching ESP instead of attending lecture at class. The participants were 32 male and female students who were enrolled in the Department of Media- College of Arts -University of Anbar). A questionnaire was used to collect the data of the study. The research tries to prove the following null hypothesis "There are no statistically significant differences in the mean scores of the students' perspectives towards learning English language that can be attributed to the MALL program". Mean and standard deviation were used to analyze the participants' responds. The findings reveal that there are statistically positive differences in the mean scores toward using mobile in learning English Language. Furthermore, the undergraduate students have positive perspectives towards using mobile in Learning English Language.
Designing a New Education Ecosystem Model for Sustainable Regional Development Using Additive Technologies

The ESG (Environmental, Social, Governance) agenda is complex and requires the formation of a new multi-knowledge core through a consistent and phased formation of professional competencies (ESG competencies). There is currently no established academic education in the field of sustainable development. The proposed model of the new education ecosystem for sustainable development of the region using additive technologies will provide external interoperability to the organisations participating in the ecosystem. Building a transparent relationship between the industrial and production sector of the region and educational organisations in the information environment will ensure the continuity of competencies at all levels of education and allow a rapid response to external and internal challenges of climate change and sustainable development of the region. The primary purpose of our research is to model the processes of the education ecosystem of the region, considering the needs of the labour market in a global transformation of key industries in the implementation of ESG principles using additive technologies. To achieve the research goal, the authors apply general scientific approaches, including logical, statistical, analytical, and economic-mathematical modelling and process approach. The developed process model reflects the leading role of the university in the management system of sustainable development of the region and is the basis for the formation of the managed information environment. It is proposed to integrate the industrial and production sector with educational organisations through a geoinformation system, which will ensure flexibility and continuity of training in relevant market-demanded ESG competencies and provide an opportunity to use the scientific potential of students and graduate students to form sustainable development of the region. Information and educational environment will unite all stakeholders in a single system to achieve sustainable development goals.
Saliency Prediction in Uncategorized Videos Based on Audio-Visual Correlation

Substantial research has been done in saliency modeling to make intelligent machines that can perceive and interpret their surroundings and focus only on the salient regions in a visual scene. But existing spatio-temporal saliency models either treat videos as merely image sequences excluding any audio information or are unable to cope with inherently varying content. Based on the hypothesis that an audiovisual saliency model will perform better than traditional spatio-temporal saliency models, this work aims to provide a generic preliminary audio/video saliency model. This is achieved by augmenting visual saliency map with an audio saliency map computed by synchronizing low-level audio and visual features. The proposed model was evaluated using different criteria against eye fixations data for a publicly available video dataset DIEM. The evaluation results show that the model outperforms two state-of-the-art visual spatio-temporal saliency models supporting our hypothesis that an audiovisual model performs better in comparison to a visual model for natural uncategorized videos.
FLOUTING MAXIM IN EMMA WATSON’S “BEING 30 AND HAPPILY SINGLE” BRITISH VOGUE INTERVIEW

This study was done to find out more about how a person talks. Conversations between two or more people are usually inseparable from mistakes, uncooperative actions and often exceed expectations. Therefore, an observation in an interview between Paris Lee and Emma Watson is intended to examine the flouting maxim in the speeches made. This research uses qualitative methods with Grice’s supporting theories cooperative principle and flouting maxim. Several data are included in the flouting maxim, namely four data flouting maxim of quantity, three data flouting maxim of quality, four data flouting maxim of manner, and two data flouting maxim relation. From the data analysis, it can be known that the flouting maxim arises when one of the participants, Watson and Paris, insert implied meaning into their speech until they were not cooperative during the interview. Keywords: flouting maxim, cooperative principle, utterance, conversation, interview
The Effect of Academic Stress on School Dropout of Chinese Physical Education Major University Students: The Mediating Effect of Social Support

The purpose of this study is to verify the effect of academic stress and social support on school dropout intention of Chinese physical education major students and to investigate the mediating effect of social support. Therefore, the convenient sampling method was used to questionnaire survey. For data processing, frequency analysis, reliability, and correlation analysis were performed through SPSS 23.0, and confirmatory factor analysis, measurement model verification, structural model verification, and mediating effects were performed using AMOS 23.0. The following results were derived. Academic stress had a positive (+) effect on school dropout intention and social support. Social support had a negative (-) effect on school dropout intention. It was found that there was a partial mediating effect of social support in the relationship between academic stress and school dropout intention.