Reviewerly/exHarmony huggingface dataset:
THE EFFECT OF TECHNICAL ASSET, FINANCIAL ASSET AND MACRO-ECONOMIC ON RETURN BITCOIN

This study uses research variables such as Trading Volume, Market Capitalization, S&amp;P 500 Index, World Oil Price, Gold Price on Bitcoin Returns. The data source in this study is through internet media with the sites https://coinmarketcap.com/, https://finance.yahoo.com/, and other sites that support this research. The data used in this study are time series, and the target population for the data sample is 1,096 (3 years x 365) daily report data. The data were collected from January 1, 2020, to December 31, 2022, through the release of daily bitcoin transaction reports. Time series data analysis using Engel Granger's Error Correction Model is the method employed (ECM). The analysis tool used is the Econometric Views (Eviews) which is one of the computer econometric program. The results of this study where trading volume has a positive and insignificant effect on bitcoin returns. The impact of market capitalisation on bitcoin returns is both favorable and significant. Returns on bitcoin are positively and significantly impacted by S&amp;P 500. The returns on bitcoin are negatively and insignificantly impacted by the price of world oil. Returns on bitcoin are positively and negligibly impacted by the gold price.
Earthquakes time series visualization in cilacap earthquake zone using QGIS and USGS data sets

Cilacap region earthquakes often occur with more than 5 Richter Scale. With these seismic conditions, earthquake studies in the Cilacap region will always be needed. These studies usually only have output in form of map visualization spatially, however, they have not been compiled in a time series. This study attempts to include visualization of spatial data in the form of a time-series. The data visualization was presented in form of graphs and maps. Graphical visualization using line bar graph type by applying descriptive statistics tries to determine the earthquake’s magnitude fluctuation. The other visualization in form of Heatmap map analysis applying the Kernel Density method is interpolated earthquake magnitude spatial data. The data used in this research was retrieved from the USGS datasets between 1918 to 2021. The spatial boundaries were taken from -7.324 ˚S, 107.941˚E to -10.407˚S, 111.116˚E. The results of spatial data visualization using the heatmap techniques were then analyzed temporally using the Temporal function in the QGIS software. The results of temporal analysis within a year are then sequenced into a video which is displayed on the following link https://youtu.be/m3B7HkfI8qY. The descriptive statistical analysis shows that Earthquakes have magnitudes ranging from 3.3 to 7.58 with a mean of 4.58 and a mode of 4.4. Heatmap analysis shows the results of earthquake magnitude interpolation with high density, located in the south of Cilacap and south of Yogyakarta. Also, the spatiotemporal analysis results show that there is a change in location trends that have high earthquake magnitude density values
THE IMPACT OF ORGANIZATIONAL FACTORS ON EMPLOYEE KNOWLEDGE SHARING IN INTERNET SERVICE PROVIDER COMPANIES IN PAKISTAN

This study examines the impact of organizational factors on employee knowledge sharing in Internet service provider companies in Pakistan. The hypothesis is supported by the data which is collected by the 274 respondents, questions filled by the middle to top management level from internet services provider of Pakistan. The study focused on companies such as Cyber Internet Private Limited, PTCL, Wateen Telecom Limited, Storm Fiber, Connect, Multinet Pakistan Private Limited, Fiber Link, World Call Cable Broadband, Optix, and Nayatel in cities such as Islamabad, Quetta, Karachi, Hyderabad, Faisalabad, Peshawar, Sialkot, Multan, and Lahore. The study found that employee engagement and organization strategies have a positive impact on employee knowledge sharing, while organizational culture and organizational support do not. The Partial Least Square Structural Equation Model revealed that organizational factors explain 51.6% of the knowledge sharing among the employees of internet service provider companies in Pakistan. The study has some limitations, including a focus on established companies and limited consideration of employee access. Nevertheless, it will assist internet service provider management and human resource departments in identifying areas for improvement in employee knowledge sharing. Keywords: Employee engagement, organization culture, organization strategy, organization support, employee knowledge sharing.
Research on the construction of a collaborative ability evaluation system for the joint graduation design of new engineering specialty groups based on digital technology

<h2>Abstract</h2> Conducting research on the construction of a collaborative ability evaluation system for the joint graduation design of new engineering specialty groups based on digital technology holds great practical relevance. In this paper, which is based on a comprehensive analysis and research of the current situation pertaining to the joint graduation design of college graduates in China and elsewhere and on the construction of a collaborative ability evaluation system, combined with the talent training program of the joint graduation design, the Delphi method and the analytic hierarchy process (AHP) are adopted to establish a hierarchical structure model of the collaborative ability evaluation system for joint graduation design. In this system, collaborative abilities in the areas of cognition, behavior and emergency management are used as the criteria level evaluation indices. Additionally, collaborative ability in regard to targets, to knowledge, to relationships, to software, to the workflow, to organization, to culture, to learning and to conflict are used as evaluation indices. The comparison judgment matrix of the evaluation indices is constructed at the collaborative ability criterion level and at the index level. By calculating the maximum eigenvalue and corresponding eigenvector of the judgment matrix, the weight assignment of the evaluation indices is obtained, and the evaluation indices are sorted. Finally, the related research content is evaluated. The research results show that the key evaluation indicators for the collaborative ability evaluation system of joint graduation design that need to be considered are easy to determine, and these indicators provide a theoretical reference for the reform of graduation design teaching of new engineering specialty groups.
Neural network structure text processing method based on automatic machine learning

In the social economy and technological innovation and development, the information process in all fields is getting faster and faster, the management system with different functions, has been cited to People's Daily life and work, which also makes the industry development has accumulated rich data resources. How to obtain valuable information in mass text data is the main problem discussed by Chinese scientific researchers. On the basis of understanding the status quo of structured text processing, this paper proposes a neural network structured text processing method based on automatic machine learning and neural network algorithm. At the same time, taking the structured processing of medical text data as an example, the application advantages of this method are discussed.
Research on the application of data mining technology in economic crime investigation

The modern criminal behavior has entered a peak period, profound changes to the related investigation of criminal discretion and prevention strategy has brought the profound influence, reconnaissance departments at all levels should be under the guidance of information technology, combined with the new era of development needs to build a new working mechanism, pay attention to improve practice efficiency, meet the new era of development put forward new requirements to work. Nowadays, China's economic cases are faced with the problem that large quantities of data information cannot be efficiently used during the investigation, so researchers put forward the use of data mining technology to carry out association analysis on large quantities of information in practice. On fund-raising fraud crime at the same time, using the algorithm of dimension analysis, constructs a model of association rule mining for fund-raising fraud analysis, clear the hidden value theory, prompt information resources into reality investigation of valid evidence, eventually to meet the demand of the economic crime investigation work, improve the efficiency of the actual law enforcement investigation, security data mining technology, It can play a positive role in the investigation of economic crimes.
Kesalahan Berbahasa pada Berita Daring/Online

Abstrac: Language Errors in Online News. This research was motivated by the findings of language errors found in news writing, especially in online news. Online news is news that utilizes the network as a medium of delivery and is considered the fastest in its presentation. This study aims to describe the misuse of Indonesian in writing online news. There are two benefits of this research, namely theoretical benefits and practical benefits. This type of research is qualitative research using descriptive methods. The object of research analyzed in this study is language errors in online news. Furthermore, the source of data in this study is news published in online media. Data collection techniques in this study are divided into several stages, namely reading and observation, checking, then the last is documentation. The results of this study are (1) the form of spelling errors including errors in the use of capital letters, writing italics. use of prepositions, use of periods, use of commas and use of hyphens. (2) Forms of misuse of diction include waste of the suffix "his" and misuse of conjunctions.
Formal mechanisms and their work in the surrealist theatrical text the play (Nahda Theresias) as a model

Formed the subject of formal mechanisms in the theatrical text surrealist important axis of this text, because of the similarity of their idea in their interest in form without content evidence found within this research, and this was an important motivation for the researcher to search for mechanisms formalism and reveal their work in a theatrical text surreal, with the help of a group of Russian formalists and the surrealist subtraction, and thus established the title of the research tagged with (mechanisms formalism and their work in the theatrical text surrealist play "Nahda Theresias" model) based on the systematic establishment in The first chapter by asking the research problem represented by the following question: Did the formal mechanisms work in the text? And determine the importance of the research is to try to research in the application of formal mechanisms on a surreal theatrical text, and the goal of the research, which lies in the detection of these mechanisms’ formalism and their work in a surreal theatrical text, and then the most prominent search terms, then came the second chapter (theoretical framework), which included two sections:The first topic // formal approach concepts and mechanisms.The second section // includes surrealism. And then what resulted from the theoretical framework through five indicators reached by the research. The third chapter came in its procedures including the research sample and the research methodology and tool. Finally, the fourth chapter with the results of the research and its conclusions.
Research on the teaching quality evaluation of neural network machine learning algorithm

Nowadays, there is no scientific and reasonable evaluation method for teachers teaching evaluation in higher education in China. According to the accumulated teaching experience, in order to ensure the fairness and perfection of teacher teaching evaluation, mathematical methods will be introduced into the evaluation work, such as analytic hierarchy process, grey decision method, fuzzy evaluation method, traditional statistical analysis evaluation model. Because teacher teaching evaluation is a nonlinear problem, the mathematical method has limitations in the application period, and both the selection index and the weight value are subjective. Therefore, on the basis of understanding the neural network algorithm, this paper constructs the teacher teaching evaluation system to think about problems from the perspective of different disciplines and specialties. The final experimental results show that using BP neural network for training and testing can further improve the rationality and objectivity of teachers teaching evaluation model.
The design of quantitative financial data analysis system based on deep learning

In the preprocessing of big data sets, feature selection, as one of the key methods, can ensure the high efficiency and accuracy of the final analysis and processing results on the basis of accurately mastering the data analysis content. Nowadays, research scholars in the field of study each big data feature selection method, on the basis of genetic algorithm is put forward to theory as the core technology, need comprehensive assessment on each dimension characteristics, combined with the feature of all in the same kind of nearest neighbor and heterogeneous nearest neighbor differences in scientific adjustment of weight values, according to the weight value in analyzing the search of genetic algorithm, Finally, the selection of big data features is efficient and accurate. This paper takes text classification feature selection as an example, and the final experimental results prove that it can ensure the effectiveness and scientificity of feature classification.
Criminal Records and Reporting System

Abstract: Long with other technologies, Blockchain has been used in order to produce felonious data record operations in another system. The conception of the exploration is grounded on the confidentiality of felonious data and conservation from the original Police Officers’ perspective. The study aims to contribute to the security protocol of felonious record data through Blockchain. The work focuses on the security protocols and the system armature from both the stoner and device sides. Felonious records are largely sensitive public records. By incorporating felonious records in a blockchain, the authenticity and severity of records can be maintained; which also helps to keep the data safe from adversaries. adding crime rates directly obstruct the growth of any nation thus it's and has always been a primary concern of every nation around the globe to control or maybe have an upper hand on ongoing as well as unborn felonious conditioning. A peer-to-peer pall network enables the decentralization of data. It helps help unlawful changes in the data. This paper introduces a felonious record storehouse system by enforcing blockchain technology to store the data, which helps to attain integrity and security. Low-position culprits, who do the legwork in a felonious association are the most likely to be arrested, whereas the high-position bones tend to avoid attention.
SELF-EDUCATION AND WAYS OF TEACHER COMPETENCE FORMATION

The main aim of the article is to explore the self-education and ways of teacher competence formation. In the context of rapid informational flow, a number of high requirements are imposed on school education in the era of scientific and technological progress.The school should not only equip the younger generation with scientific knowledge, but also instill in them the skills of independent acquisition of knowledge, free labor skills, intellectual work culture, independent thinking, self-education, better readiness for independent work. This is one of the important directions of modern education reform. Self-education is one of the very necessary rings in a united complex intellectual work. This type of activity, which includes elements of independent activity, was in the center of attention in all structures and stages of public life as a means of improving socio-political and vocational training and acquiring knowledge by a person, besides has always attracted people with progressive views and has been highly appreciated it basing on its" utility coefficient”. Very little attention was paid to the work on the organization and implementation of self-educational activities of specialists engaged in professional activities, it was not considered as a means corresponding to self-educational upbringing, personal development and self-control skills.It should be added that in pedagogy there is no complete concept on self-education and teacher competence.
A Review of Deep Learning Algorithms for Anomaly Detection in Videos

Anomaly detection in video assists in the resolution of a wide range of problems.A robust anomaly detection model is necessary due to the growing use of surveillance cameras in both indoor and outdoor settings.As a result, numerous strategies have been proposed in this field.Anomaly detection has already been the subject of several surveys.This survey focuses on deep learning approaches based on video anomaly detection.we categorize the various Deep Learning approaches according to their objectives like score based, future frame-based, Clasiification and reconstruction error based approaches.Additionally, it discusses evaluation criteria and commonly used datasets.We also suggest some possible directions future directions for research.
Misinformation in Media during COVID-19 in Bangladesh Socio-Legal Analysis of the Infodemic in Comparison with Vietnam &amp; Singapore

This article examines the misinformation on the COVID-19 pandemic in social media and electronic media, as well as whether the existing legal administration and laws in Bangladesh, Singapore, and Vietnam are adequate to combat the infodemic. People who believe misinformation and fake news about Coronavirus, prevention, and treatment may put their lives in danger. False information about Coronavirus has spread throughout the world, not just in South and Southeast Asian countries, causing widespread concern in the global healthcare community. We employed a qualitative approach as well as the case study analysis method. Case studies were conducted using news reports and news channels. We examined the legal provisions of the People's Republic of Bangladesh's Constitution, as well as factual analyses of Singapore and Vietnam. We discovered the impact of misinformation dissemination through social and electronic media, which is prevalent not only among rural Bangladeshis but also in almost all classes in Singapore and Vietnam, and how such influence can be detrimental to the interests of Bangladesh, Vietnam, and Singapore.
Making the Tunisian Resurgence

The economies of the Arab countries are generally projected to have shown not much inclusive economic growth, especially since the second half of the twentieth century. Keeping in view the state of underdevelopment in their economies, several Arab countries had embarked on economic and financial reforms in collaboration with international financial institutions, such as the IMF and the World Bank, in order to overcome their economic difficulties. This book review article sheds light on how the Arab Spring of 2011 resulted in income and wealth inequalities, weak investments, and growing unemployment in Tunisia.
Placement optimization of virtual network functions in a cloud computing environment

Abstract The authors have requested that this preprint be removed from Research Square.
تطوير مهارات التحدث باللغة الإنجليزية لطلاب جامعة سبأ

This paper is intended to find the possible solutions that may help in improving speaking skills of students at English language and translation programs, through effective strategies during teaching and learning. The paper tried to find out answers to following two questions: a. What are the most important speaking skills for students of English language and translation programs? b. What are the effective strategies and techniques that may participate in improving speaking skills for students of English language and translation programs? Through the analysis of related studies and literature the paper collected the most important strategies, activities and techniques that may help in improving speaking abilities of English language students.
The Language of social media: A Structuralist Inquiry

Kevin Kelly, a futurist, puts forth the idea of a seventh kingdom to add to the six-kingdom classification. He labels this kingdom as the “technium.” It refers to all things invented by humans and includes, but is certainly not limited to, such phenomena as the Internet (Lobo, 2017). The language that has developed as a result of the emergence of some phenomena of the technium (for instance, social media) is now integrating into, and sending shockwaves through human languages, especially English. The latter of the two languages is one with a long history of change and unfailing adaptation. As such, the steady burgeoning of this unhackneyed technological vocabulary may not hold serious consequences for the English language which, as it has done numerous times before, will reorient itself around the insurgence of new words and abbreviations. However, for the first time in centuries (taking into consideration the cave paintings of old), there is an alarming increase in the substitution of words and phrases by visual equivalents, all of which seek to literalize the adage that a picture can speak a thousand words. This hybrid language however is still just that — a language, a system of signs as Swiss linguist Ferdinand de Saussure put it. This paper seeks to conduct an analysis of this fairly new language using the methodology of structuralism, employing various theories put forth by critics associated with this umbrella term. Such an analysis would be directed towards facilitating an understanding of this new technological language in its various manifestations.
Implementation Of The School Literacy Movement (GLS) In Growing Reading Interest Of The Students

According to some studies, reading is not very important for children in Indonesia. Students' reading interest is low, particularly in elementary schools. This is evidenced by children's lack of reading habits. The objective of this study was to determine: (1) the effectiveness of the School Literacy Movement (GLS) in fostering students' reading interest at SD Anugrah Denpasar; (2) the development of reading interest through GLS at SD Anugrah Dennpasar; and (3) the supporting and inhibiting factors of GLS in fostering students' reading interest. This study was qualitative method. Methods of data collection included observation, interviews, literature reviews, and documented studies. Data collection, data reduction, data presentation, inference, and verification methods were used to analyze the collected data. The findings of this study showed that (1) The stages of habituation, development, and learning were discussed in the context of GLS implementation. (2) Through GLS on indicators of reading interest, such as the need for reading material, actions to find reading materials, pleasure of reading material, interest in reading, and the desire to always read, students' reading interest can grow. (3) GLS supporting factors included: active participation of school members, planned programs, students, parental support, school environment, and facilities. The inhibiting factors included coordinators' consistency, the condition of the books, different interests, time allocation, and socialization.