Reviewerly/exHarmony huggingface dataset:
Mathematical education at Kryvyi Rih State Pedagogical University: history, achievements, and future prospects

The study focuses on the advancement of mathematical education at Kryvyi Rih State Pedagogical University (KSPU). The research's goals and objectives include distinguishing and characterizing basic stages of formation and development of KSPU's mathematical education, informing about the current state of teaching, methodological, scientific, and research activity, and defining future prospects for developing the Department of Mathematics and Methods of its Teaching. The authors define stages of growing mathematical education at KSPU as eras of its 90-year development that are notable for distinct organizational and training techniques for Mathematics teachers. Teaching, research, and a life committed to people are factors that serve as the foundation for identifying basic stages in the growth of the Department of Mathematics. After analyzing information from the University archive, museum, and accessible personal data of Mathematics teachers - University teachers, graduates, and researchers - a special edition "Mathematical Education in Kryvyi Rih Pedagogical University: Personality Dimension" was issued to commemorate the Department of Mathematics' 90th anniversary. The information also includes their publications in the ORCID and Google Scholar databases, as well as the University repository. The basic stages of establishing mathematical education in the educational institution and its research tendencies are identified.
An Introduction to Audio Manipulation and Generation of a Unified High Performance Recommendation Framework for Netflix

Individual users within the Netflix environment demand flexible and appropriate Netflix operations. In real-time, digital Netflix should be willing to supply appropriate Netflix objects to a user. Collaborative filtering algorithm is used in a large portion of digital recommender systems. These techniques are held back by means of real-time adaptation and need pupils to have prior information. Hence, this proposed research provides an instant recommendation system that is appropriate for complex and changeable contexts. The proposed solution is based on the problem of reinforcement Netflix. The existing method approach can explore the domain to collect information (data) and make use of that information to obtain a judgment. The built strategy is tested by making use of real-world information (data). The suggested system showcases an improved approach called Adaptive Recommendation depending upon digital Netflix style, which uses learners' behavioural data to implement Netflix resource adaption.
Analisis Time Series Untuk Deep Learning Dan Prediksi Data Spasial Seismik: Studi Literatur

Time series analysis is a deep learning method to process data stored in a dense time. This method works for forecast data in particular cases, such as to analyze and provide the output of a trend from the data. Time series analysis can be used to analyze trends in natural disasters such as earthquakes in Indonesia. As technology advances today, in addition to using seismographs or tools to predict seismic phenomena on the earth's surface, time series analysis can be used to make forecasts and predictions. This paper will summarize various literature reviews about time series analysis and previous research to predict seismic spatial data over the last ten years. The goal is to afford the several approaches or algorithms to be able to forecast seismic spatial data to increase awareness. The results of this literature study were used to find trends, state of the arts, and research challenges and develop new models or methods to predict seismic spatial data. The study shows that deep learning methods can achieve better accurate performance in processing seismic spatial data and other complex data than conventional methods. The deep learning methods can use Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), Gate Recurrent Unit (GRU), linear regression, and Artificial Neural Network (ANN).
Peran Teknologi Informasi Dan Komunikasi Dalam Pengelolaan Pendidikan Menengah Pasca Pandemi Covid-19

Improving high-level thinking skills (high-order thinking) has become an essential requirement This article raises a study of the role of information and communication technology in the management of secondary education after the Covid-19 pandemic, bearing in mind that the Covid-19 pandemic has changed the governance of education in general, including secondary education. On the other hand, the government implemented a distance learning policy (PJJ) and reduced face-to-face learning (PTM) at the start of the pandemic. In these conditions and situations, information and communication technology (ICT) is considered very important. Although in reality, there are many obstacles, such as low human resources, lack of infrastructure, and geographical conditions. From there, online and offline learning is often the best choice. This type of research is qualitative. The approach used is an educational management approach. Data is collected from library sources. The theory used to analyze the data is the blended learning theory. This study found three main aspects; first, the issue of using ICT is partial, where school institutions that are human, social, cultural, and infrastructure ready will benefit significantly from ICT. Vice versa. Second, the presence of the government's role in offering solutions to the problem of education management is also partial. ICT is not optimal because government support is not holistic, it is even dysfunctional when faced with old problems of educational institutions, such as lack of infrastructure and geographical problems. Third, the role of ICT in education management is ambiguous, between as a solution to a problem and as a compulsion amidst the limitations of the school institution itself. The findings of this study are helpful as an enrichment in the study of secondary education management disciplines, on the other hand as a form of criticism and input to managers of educational institutions.
Managerial Competencies and Growth of Small and Medium Enterprise (SMEs) in Abuja Metropolis, Nigeria

Abstract: Purpose: This study aimed at investigating the effect of managerial competencies on the growth of SMEs in Abuja Metropolis, Nigeria. Research methodology: The study adopted Raosoft to determine a sample size of 395. A structured questionnaire was used for data collection, while regression was used for data analysis. Results: It was found that both technical and personal competencies have a positive and strong effect on the growth of SMEs, while conceptual skills recorded a negative and insignificant effect on the growth of SMEs in the Abuja Metropolis. Limitations: This study is limited to SMEs operators in Abuja Metropolis (the political capital of Nigeria), Leaving Lagos (the economic capital of Nigeria untouched). It is only when Lagos is covered that one can give a clear direction if Nigerian SMEs operators are changing with the changing business world. Contribution: Operators, owners as well as policymakers in SMEs are expected to benefit from this study as it will serve as an eye-opener to the hidden and untapped potentials embedded in the proper application of managerial skills. Keywords: 1. Managerial-Competencies 2. Technical-Competency 3. Personal-Competency 4. SMEs 5. Growth
Investigation of Cultural Values in English Textbooks for Junior High School Students

The purpose of this study was to identify the embodiment of cultural values in English textbooks for junior high school students. This research used a qualitative approach with a content analysis method. The research data was in the form of a collection of discourse texts in the form of monologues, dialogues and exercises. The data were taken from two books entitled Scaffolding and In Focus, published by the Book Center of the Ministry of National Education. It is grade X. The data analysis procedure used in this research was qualitative content analysis. The process of validity was done through credibility, transferability, triangulation, dependability, and confirmability. The results showed that the dominant cultural value was the optimistic value of 43%. Then followed by the brotherhood value of 23.80%, the social value of 19% and the freedom value of 14%. Each cultural value found also describes some more specific values. The value of freedom contains character values, namely the value of independence and hard work. The value of brotherhood contains character values, namely friendliness and responsible; the optimistic value contains character values, namely courage, creativity, discipline, and curiosity, and social values contain character values, namely cooperation. This study concluded that English textbooks had the important value of increasing students’ character as cultural values.
Digital Marketing Strategies and their Role in Enhancing the Strategic Capabilities of the Bank's Sector in Erbil Governorate

The main purpose of this research is to examine digital marketing strategies and their role in enhancing the strategic capabilities of the bank sector in the Erbil Governorate. The research used the qualitative method to obtain data and classify the study problem, by exploring several questions and concentrating on the relational impact, and variance between research variables. In this regard, a conceptual model is considered and formed three main hypotheses. For data analysis, statistical tests are used namely, correlation test, and regression analysis. The survey was used to obtain data from bank managers such as bank general managers, CEOs, marketing managers, sales managers, and branch managers. A sample of (245) managers participated in the survey by replying to the survey questions, finally, (233) questionnaire forms were obtained for examination and conduct statistical analysis methods through SPSS version 25. Results of correlation analysis showed that digital marketing strategies jointly, and exclusively have a positive and significant relationship with strategic capabilities based on bank managers' perceptions. Results demonstrated that digital marketing strategies positively impacted strategic capabilities. Results showed that attracting clients, communication, client participation, learning strategy, and retaining clients through digital channels positively and significantly impacted strategic capabilities. Furthermore, results showed there were no variances in digital marketing strategies and strategic capabilities according to the bank managers' profiles such as gender, age, level of education, job position, and overall banking experience
A novel method for multiple object detection on road using improved YOLOv2 model

Artificial Intelligence has a wide range of uses. AI is currently solely used in the areas of object identification and speech recognition. Object detection is a branch of machine vision and image processing that deals with instances of a certain class of semantic items. One of the most significant habits of object detection in intelligent transportation schemes is vehicle detection. Its aim is to extract clear-cut vehicle-type information from photographs or videos of automobiles. Object detection is critical in self-driving cars. A fully convolutional network (FCN) is employed in sophisticated driver assistance systems for high performance and quick object identification (ADAS). A novel vehicle detection model employing YOLOv2 is presented to tackle the difficulties of prevailing vehicle detection, such as the absence of vehicle-type recognition, stumpy detection accuracy and sluggish speed. The detection model is trained using the VOC and COCO datasets, and the detection enactment is evaluated quantitatively using KITTI training pictures. In addition, the performance of the YOLOv2 model was compared to that of prior models.
THE USE OF ETHNIC LANGUAGES IN INTER AND INTRA ETHNIC COMMUNICATION IN DESA LAWE TAWAR ACEH TENGGARA-ACEH PROVINCE

The objective of the study was to elaborate the factor cause of ethnic language use by the people in inter and intra ethnic communication in Lawe Tawar. A qualitative descriptive research design was applied. The data of this study were words, phrases consist of inter and intra ethnic communication which is uttered by the people in Lawe Tawar. The subject of this research were Batak Toba ethnic, Karo ethnic, Simalungun ethnic, Pak-Pak ethnic and Nias ethnic at the age 18-50 years old. The instruments used for this study were observation and in-depth interview. The data was analyzed by using interactive models of Miles &amp; Huberman (2014:8) technique. The results of the study show some factors of people used the language choice in inter and intra ethnic communication, they were: (1)Ethnic Background of the Participants, (2)Extent of Intimacy with the Interlocutor, (3)Different Social Status of the Participant,(4) Equal Social Status,(5) Showing Off One’s Ethnic Language Mastery. Meanwhile the factors of people in language choice in intra ethnic such as: (1) Ethnic Background of the participant, (2) Immigration, (3) The Topic Discussed
Facies Implication of GERCUS Formation with The Bathymetry and Tectonic Activity of Van-Pyrenean Phases in Haibat-Sultan Mountain, Iraqi Kurdistan Region

The Eocene red clastic strata are represented by molasses facies of Gercus Formation and well exposed at Haibat-Sultan Mountain . A sequence of about 88m thick of the formation is located in the middle part of the Mountain. Detailed investigations including field, petrographic investigations which are linked &nbsp;between bathymetric fluctuation and depositional environment.&nbsp; The sequence is generally found to be a shallowing upward facies which start from deep marine (Kolosh Formation) to continental environment passing through shallow marine. Petrographic studies revealed the presence of a high rate of terrigenous grains; the most abundant clasts are sedimentary rock fragments such as limestone and chert. There are less abundant clasts derived from igneous and metamorphic rocks like quartz, feldspar, and micain addition to &nbsp;authigenic &nbsp;grains of glauconite are also represented. The pore space between grains are filled by&nbsp; red clay with carbonate cement. The provenance consisted mainly of &nbsp;Balambo,Tanjiro,Shiranish,and Aqra Formations while the Igneous and metamorphic grains are reworked from ophiolte and metamorphic ource areas that cropped out on the Hinterland near Iraq-Iran border. Gercus Formation in this area is deposited in four &nbsp;depositional environments: fluviatile environments( river environment ), alluvial fan (shore line) , delta, and shore face environments. The deposition and fluctuation &nbsp;influenced by &nbsp;paleo-slope and regional tectonism of Van–Pyrenean phases. The Middle Part of this Formation interfingers with the Avanah Formation (Carbonate Rocks) &nbsp;which was deposited during the rising of sea level.
The Use of Natural Disaster Picture as a Medium of Learning to Write Report Text

Writing is one of the language skills that is considered difficult for most Indonesian EFL students. Teachers are challenged to provide an interesting medium of learning to increase students' writing skills and motivation. Natural disaster pictures can be utilized as an alternative medium for learning to write report text. Therefore, this study aims to find out students' ability in writing report texts using natural disaster picture and to describe perceptions of students in using natural disaster picture as a medium of learning to write report texts. The respondents were 22 students in the tenth grade at SMA N 1 Binangun in the academic year 2021/2022. A descriptive quantitative study was utilized in the present study. To collect the data needed, the researchers used tests and questionnaires. Furthermore, a test is used to collect the data on students' achievement in writing report text, meanwhile, a questionnaire is used to find out students' perceptions of using natural disaster picture as a learning medium to write report text. The results of the study revealed that the total score of students is 1308 and the mean score is 60. It means that the achievement of tenth-grade students at SMA N 1 Binangun is categorized as "Enough" as per the scoring rubric conversion scale. Meanwhile, the results of the questionnaire showed that using natural disaster picture as a medium of learning may motivate students to learn, create an interesting atmosphere, and provide new experiences in learning to write report text.
Cryptocurrency market trend and direction prediction using Machine Learning: A Comprehensive Survey

Bitcoin was the first cryptocurrency introduced as a cryptographic proof-based electronic payment system in 2009. Till now approximately more than 10,000 digital coins are active in the crypto market. Cryptocurrency is a virtual digital asset that uses cryptography and blockchain technology for transaction verification and records maintenance. Its trading is gaining attention due to volatile behavior, decentralized nature, and liquidity in this digital asset. Trading this digital asset provides anonymity and security in transactions. Groundless fluctuations in its price contribute to making its trade risky. Market Prediction of the cryptocurrency is trending because it can reduce the trade loss risk. Data related to this market is vast and publicly available on the internet. It is nearly impossible to infer the market by simple data analysis. Statistical price prediction approaches are less effective due to the absence of seasonality in cryptocurrency market data. Therefore researchers proposed efficient price prediction techniques utilizing statistical, algorithmic, and neural network-based Machine Learning models. This paper provides a detailed literature survey related to the state-of-the-art Machine learning-based prediction methodologies for the market prediction of the digital asset from 2014 to 2022. This research will categorize, summarize, and review the existing research in cryptocurrency market prediction using Machine Learning classifiers. This paper will benefit researchers to be productive in the right direction in the future.
Machine Learning Methods to Weather Forecasting to Predict Apparent Temperature

Abstract: Due to the impact that it has on human life across the globe, weather forecasting has attracted the attention of researchers from a wide variety of research communities. Many researchers have been motivated to investigate hidden hierarchical patterns in large volumes of weather datasets by the recent emergence of deep learning techniques over the past decade. This motivation has been influenced by these methods, as well as by the ubiquitous accessibility of enormous amounts of weather observing data and the development of information and technology. In this study, we explore use of the machine learning techniques to apparent temperature weather forecasting. We use the dark sky apis data set for forecasting and assessment, and this study uses a random forests, decision tree, linear regression, or polynomial regression. Finally, performance is evaluated using metrics like mean square error &amp; r-square.
A Guide for Specifying Non-Functional Requirements in Ambient Assisted Living Systems

The increase in life expectancy and the aging of the world's population is a reality every year, thanks to advances in technology in the medical field.Technologies such as Ambient Assisted Living (AAL) can provide services that enable seniors to live independently, safely and healthily.During system development, it is important to ensure a good specification of nonfunctional requirements (NFR).They are requirements that define how the system will behave in certain situations and can impact the final objective of the software if they are not considered during the analysis and development of the project.To meet and identify all needs and functions provided to system users, this article provides a guide for specifying non-functional requirements in Ambient Assisted Living, which helps the requirements engineer to specify the important requirements in the development of this system, capturing the requirements with techniques such as storytelling, reuse and legal requirements.Based on the systematic mapping, the main non-functional requirements for each subd o AAL subdomain were identified.An important finding is that the personal context of older people, legal requirements such as ISO/PRF TS 82304-2 and AAL Guidelines for Ethics, Data Privacy and Security directly affect the specification of non-functional requirements and the design of systems.This guide helps with that mapping, showing the requirements engineer what to consider when designing AAL systems.
Motivational Factors Between Individuals with Different Learning Goals for Acquiring English at Different Levels

Motivation is an important factor for successful learning. However, the teaching methods, activities, strategies and content influence in the development and direction of students’ motivation. With a narrative approach which categorizes the experiences of each of the participants; supported by a quantitative approach, by showing quantitative data to have a broad view of the data collected. This research study collects the opinions of 4 participants from the University of Guanajuato who take English language classes as a graduation requirement showing that language learning approaches reflect an important effect on students’ motivation being a complement to the learning objectives. Thus, increasing the motivation of the students to continue with the process of acquiring and learning a second language.
Science fiction as the sphere of interpenetration and mutual influence of scientific and everyday consciousness

The process of creating a science fiction work is considered as a process of interaction of two concepts related to both everyday knowledge and scientific knowledge and being in dialectical interaction. It is shown that in a science fiction work, the share of both scientific and fantastic has a limit. In both cases, when such limit is reached, the work can no longer be related to science fiction. The influence of the modular-block structure of technical knowledge on the process of formation of a science fiction object is considered: a book, a film, a computer game. The works in the style of cyberpunk and steampunk are established to serve as the basis for works in the genres of utopia and dystopia, but the possibilities of each style are different, that is, there is a kind of asymmetry that appears both in the works themselves and in their perception.