Reviewerly/exHarmony huggingface dataset:
Database Querying Optimization via Genetic Algorithm for Biomedical Research

Thanks to the skyscraping development of hardware and software technologies, the data solutions have become an urgent trend to deal with vast amount of data, especially in biomedical research, human genome and healthcare systems. The healthcare research has always demanded close association with biomedical data to produce personalized medicine and deliver suitable cure and treatments. Nevertheless, coping with huge amount of information from biomedical data requires bulky solutions. In the light of data science, the solution for this issue can change from a theoretical approach to a data-driven approach. Database stores a huge amount of information and particular sets of data can be accessed via queries which are written in specific interface language. In order to manage this amount of data, database optimization is implemented to maximize the speed and efficiency with data retrieval or reduce database system response time. Query optimization is one of the major functionalities in database management systems. The purpose of the query optimization is to determine the most efficient and effective way to execute a particular query by considering several query plans. In this article, genetic algorithm (GA) strategy is utilized for biomedical database systems to execute the query plan. Genetic algorithms are extensively using to solve constrained and unconstrained optimization problems. Based on three main types of rules of GA such as selection, crossover and mutation, the querying can be optimized for solving database problem.
The Whole Process Monitoring System of Meteorological Big Data Cloud Platform Based on “Tianjing”

“Tianqing”, a meteorological big data cloud platform, is the most complete and authoritative meteorological data information system for the meteorological department at present. However, due to the lack of comprehensive monitoring of the whole process of it, the faults cannot be accurately located and the processing is not timely enough. Therefore, it is urgent to realize the automatic and centralized monitoring of the operation status of each business system of “Tianqing” based on “Tianjing”, realize the comprehensive monitoring and centralized alarm of the whole data process and each business system of “Tianqing”, and provide an operation and maintenance process management platform linked with it, in order to realize the paperless, convenient, standardized, automatic and intelligent operation and maintenance requirements, and improve the operation and maintenance support ability of provincial meteorological services.
The Language of Power: Casini and Bancheri's In-Depth Analysis of Italian in Immigration and Global Contexts

Abstract This review article looks at a groundbreaking book in sociolinguistics by Simone Casini and Salvatore Bancheri, What Is the Language of Power? Theoretical Reflections on Italian, Italiese and Other Languages, which focuses on the forms and uses of Italian in immigrant communities, as well as the role of the Italian language in the global village in which we now reside. Based on research conducted on the kind of Italian that takes shape in immigrant communities, called “Italiese,” one of the main insights that can be gleaned from this penetrating book is that the language that emerges in immigrant communities is a product of creative mechanisms, enlisted unconsciously to render the native language (or dialect) adapted to solving everyday communicative problems that pertain to the new environment socially and conceptually. By making the English input conform to the native language, structurally and semantically, the result is a code that allows for direct access to the new reality on its own terms. The book also relates the ways in which Italiese is constructed and employed to the history of Italian itself, ending with a broad examination of the roles that the language should be playing in an international context today. As such, it provides an expansive theoretical framework for assessing the factors that contribute to making a language, such as Italian, an instrument of control over any environment, real or virtual—hence, a “language of power.”
The Future of Bitcoins

With the outbreak of the Russian-Ukrainian war, more and more Western countries have imposed sanctions on the assets of the Russian people overseas, which have triggered a crisis of confidence in the world's currency, the dollar.At this time, the popularity of Bitcoin has also resurfaced.People are starting to think about the future of Bitcoin.This paper starts from the basic technical means of bitcoin and discusses the possibility of the future development of bitcoin by analyzing the characteristics of bitcoin.We believe that although Bitcoin cannot become a world currency in the future, it can become an investment asset and a convenient means of payment.
Research on Sentiment Analysis in Network Public Opinion – A Case Study of Song Plagiarism

In the Internet age, the online music platform is not only a platform for people to listen to music, but also a platform for comments, exchanges, and sentiments.In addition to reflecting users' opinions, song online review can also be used as an important basis for sentiment analysis.At the same time, it can also be used as an important reference indicator for the recommendation system.This paper takes the song "Out of the Mountain" in NetEase Cloud Music as an example, and uses the LSTM neural network model to perform sentiment analysis on the song network comment data.Because of its official release and popular social media for a period of time, a "plagiarism" scandal broke out.Therefore, two extreme emotions appeared before and after his comment.This increases the complexity of the research object, and at the same time has certain reference significance and value for the analysis of emotional changes caused by the impact of emergencies.
The Impact of Internet Economy on Economic Growth

In the information society, it is necessary to constantly advocate "internet plus" thinking, transform and upgrade traditional industries, and promote the creative development of more industries in the Internet field.The Internet economy has disrupted traditional industries, promoted the combination of ICT and Internet applications, and created more advanced productivity.In this process, economic and social development has been accelerated.This article mainly tells about the current development direction of Internet economy in this period of rapid development of Internet, and the influence of Internet on economic growth in the development process.
Research on Smart City Construction in Xinyang

With the accelerated expansion of mobile Internet and industrial information technology applications, exploring the efficient path of intelligent urban transformation has become an important issue for urban managers and academia alike.Significant progress has been made in constructing smart cities in China.First-tier and second-tier cities, such as Beijing, Shanghai, Shenzhen, and Wuhan, have formed advanced practical cases.However, it is worth exploring how third-tier and fourth-tier cities can combine local characteristics to realize intelligent transformation.The research group of the present study investigated and analyzed the current situation of smart city construction in Xinyang to put forward relevant suggestions, including optimizing top-level design, improving information infrastructure, and promoting data sharing.
Analysis of Needs of Higher Vocational College Students for Textbooks Based on Text Mining Techniques

Text data mining techniques are used to process and analyze the questionnaire data collected.The needs of higher vocational college students for textbooks are explored in the aspects of textbook selection & management, content, form, and integration with teaching.Suggestions are given for textbook management departments, preparers, and teachers using them.
Innovation and Practice of Collaborative Education Mode of Integration of Embedded Technology and Application Specialty

Based on the analysis of the common problems of industry education integration and collaborative education, this paper expounds the practical process of the embedded technology and application specialty of Guangdong Mechanical & Electronical polytechnic in the aspects of teacher construction, talent training reform, scientific research and social services, and focuses on the intelligent cooking robot, the uncivilized driving safety system based on fatigue detection, and the intelligent moxibustion robot, of which three typical cases introduce the practical process and results of school enterprise cooperation in cultivating students' innovative consciousness, strengthening students' innovative application and improving students' scientific research and practice ability.
The Importance Having Fundamental Basketball Techniques Mobile Learning-Based Media

Developing a learning media by utilizing technological developments can improve the quality of learning and delivery of information.The destination of the study is to analyze the need for mobile learning-based learning media in basketball courses.This research is a type of qualitative descriptive research with data collection techniques using a questionnaire/questionnaire via a google form.The subjects of this research are students Department Education Physical, Health and Recreation Faculty Knowledge sports, University Country Malang class of 2019.The sample was randomly selected as many as 33 students.Based on the results of the questionnaire analysis of students who have taken basketball learning courses, it shows that: (1) students have used media application-based learning, (2) students have never used application-based media in learning basic basketball techniques, (3) students need effective and efficient application-based basketball learning media, 4) students choose basic basketball technical material that is expected to be listed in the application.Based on these data, it can be concluded that an effective mobile learning application-based learning media product is needed.
Analysis of the Elements of Special Education Development in the Context of Information-Based Education

In the new era, embedding modern informatization technology in the field of special education is an inevitable trend in the development of special education.Using Citespace software, this paper combines the basic characteristics of the development of special education informatization in China at this stage, and constructs an analytical dimension system of special education informatization concept with the core dimensions of infrastructure, teaching resources, technology application, and technology application.Based on the dynamic evolution of special education informatization, the study concludes that a systematic big data platform for special education information disclosure needs to be built to promote the sharing of special education informatization resources among regions in order to narrow the differences in the level of special education informatization among regions and improve the overall development level.
Research on Teaching Aided System of Digital Music Course Based on Computer Application Technology

For the teaching of music courses, music courses are a cultivated course, which can cultivate sentiment, let us have fun in the noisy life, and enjoy the ocean of notes.As far as teaching is concerned, the auxiliary teaching system of music courses based on modern information technology takes the lead.It not only has timeliness, but also helps to achieve online music knowledge teaching, field investigation of students' learning conditions, and communication between teachers and students.Effective interaction, so as to effectively realize the mutual connection between teachers and classmates, promote students' learning, and let teachers know the actual needs of students in learning.For now, students not only strengthen their professional courses, but also need to strengthen their extracurricular courses as their own learning hobbies, which can also be valued.The music teaching guidance system should not be too cumbersome, it will directly affect the students' sense of experience, and fundamentally increase the students' learning ability.Many studies have been carried out on the course auxiliary system in this field, and certain results have been achieved.This paper takes the B/S system as the structure, makes full and reasonable use of computer application technologies such as JSP and SQL, and designs and develops the research of the auxiliary system.The design and development of the digital music course teaching assistant system based on computer application technology, the system analyzes the needs of students in detail and saves the specific information to the database, which has achieved the best real-time changes [1].
Strategies for Improving College Students' Media Literacy Under the Background of Computer Modern Information Technology

This study used computer information technology to assess undergraduate students' perceptions of media literacy when using social media at Zhuhai University of Technology, Beijing.Quantitative methods were used to collect data from undergraduates.The study consisted of 489 questionnaires completed by randomly selected participants.The results show that, in general, the media literacy cognitive level of the college students in this sample is moderate, and further media courses need to be improved to improve the media literacy and media cognitive level.This study shows the importance of understanding college students' information literacy cognition in a specific social and cultural context.The research results can also be extended to similar academic institutions around the world.It is also hoped that the research results will help to develop situation training plans or information literacy tests through computer modern information technology, to promote information literacy in the social media environment.
Blockchain Implementation in Indian Pharmaceutical Supply Chain Diminish Counterfeit Product

The pharmaceutical counterfeit product problem has become a harmful problem for people in India and has drawn significant attention from everyone.It is very crucial for healthcare and daily life.The pharmaceutical industry and its supply chain are humongous and complex in management.The pharmaceutical industry and its supply chain are massive and complex in direction.It is very crucial for healthcare and daily life.Indian Pharmaceutical is the world's 3rd largest by volume and 14th largest in value.Not only is it complex, but it is inherent with the challenges like lack of transparency, traceability, security trust, and risk of counterfeit drugs.Forgery of pharmaceutical goods could be highly profitable.During globalization, the growth of online pharmacies and fraud cases are significantly increasing, leading to high death rates.Although there have been many studies on blockchain adoption in pharma supply chain management globally, it has been seen studies do not entirely investigate highlights.The advantages of blockchain enablers in pharmaceutical industries within India benefit the supply chain management performance.Therefore, this study bridges the research gap and analysis the enabler of the Blockchain technology and its adoption to have a sustainable supply chain.The study sheds light on how blockchain technology reduces the risks at each segment of the supply chain nodes.In addition, it also makes recommendations for deploying smart contracts in the pharmaceutical sector, which helps detect counterfeit goods to improve supply chain performance.
Requirement Engineering: Development of Manufacturing Information Systems Using a Role Based Goal Oriented Model

Information system development is required by business development.Prior to a system development, the system requirements are defined, including the roles and involvement of users or actors and the dependencies between actors in running a business.The manufacture information system is a system used in a factory to determine the manufacturing process to produce a product.The requirement engineering approach through an intentional perspective is a method that has emerged in the field of requirement engineering.This approach can explain the characteristics of an actor's behavior.The requirement engineering process is the first step conducted in the development of information systems to obtain a reliable information system.The Role Based Goal Oriented model is the instance of requirement engineering model that observed in this research.
Analysis of the Impact of Internet Development on Environmental Pollution

With the rapid progress of the Internet, tremendous changes have occurred in enterprises and living standards.However, we are looking forward to the answer about whether internet progress has a prominent inhibiting effect on the discharge of environmental pollutants.Based on 2009-2019 panel data from 295 cities in China, the paper has empirically tested the influence of internet progress on urban pollutant discharge and mediating mechanisms through the fixed-effect model and mediating effect model.Research indicated that internet progress has significantly helped lower urban pollution emissions.This conclusion is valid after soundly testing by replacing core explanatory variables and resolving endogenous problems in fixed provinces.Research pointed out that internet progress plays a different role in restraining the emission of different contaminants.It ranks first in inhibiting the emission of industrial smoke dust and second for industrial sulfur dioxide and wastewater.Analysis result of mediating effect showed that industrial structure supererogation is an essential mechanism that internet progress has reduced the environmental contaminants in cities.Nevertheless, as the development of green innovation does not play a positive role in the contribution of progress on the Internet to bring down pollutants, it has lowered the effectiveness of progress on the Internet on the urban environmental pollutants.Analysis of spatial heterogeneity showed that middle-China cities with a high level of internet progress enjoy a more significant emission reduction effect than cities in the east and west of China.The paper has enriched the relevant research on internet progress and fully supplemented the influencing factors of environmental pollutants.At the same time, the research conclusion has provided reliable empirical evidence for progress in the Internet enhancing the capability of ecological pollution improvement and offered some references related to an emission reduction of environmental pollutants.
A Survey Analysis on Online Teaching in an Independent College During the Post-pandemic Era

The fast-speed development of information and technology, together with the outbreak of the Covid-19 pandemic, has not only changed people' s way of living, but also people's concept of learning.During the post-pandemic era, colleges and universities have adopted different forms of teaching to adapt to the new teaching environment.A survey analysis has been conducted in an independent college in Guangdong, which reveals that online teaching in the college has been generally praised, while relevant problems have surfaced in the meantime, such as the unstable network signal and the imperfect online teaching equipment, the teachers' in-proficiency in operating the teaching platforms, the students' weak autonomous learning ability in the online teaching process and the lack of face-toface interaction between teachers and students.Besides, the findings of the survey among English majors bear out the above-mentioned problems and reflects the particularity of online teaching for English majors.Online teaching should combine the characteristics of English language, make full use of web-based teaching resources, and integrate the efforts of both teachers and students.
Keyword Retrieval of Foreign Media Discourse Based on Dynamic Speech Recognition

Foreign media reports are an important window for domestic audiences to understand the national conditions of other countries, as well as the main position of foreign national image construction and the public opinion field of international issues.In order to improve the keyword retrieval and monitoring ability of foreign media discourse, a keyword retrieval method of foreign media discourse based on dynamic speech recognition is proposed.An optimization learning model for keyword matching and retrieval of foreign media discourse under the audience public opinion monitoring system is established, the attribute detection and semantic association rule dynamic identification of foreign media discourse keywords under the audience public opinion monitoring system through rough set semantic feature detection and keyword typed pronunciation dynamic feature matching analysis is realized, and combine speech signal spectrum analysis, semantic fusion clustering and adaptive fusion algorithm, the density clustering of foreign media discourse keywords in the retrieval process under the audience public opinion monitoring system is realized, the difference of density distribution according to the information clustering results is calculated, the optimal retrieval of foreign media discourse keywords under the audience public opinion monitoring system according to the stationary characteristics and associated characteristics distribution of the time series of voice signals is realized.The test shows that this method has high precision, good precision and recall in keyword retrieval of foreign media discourse under the public opinion monitoring system of audience groups.
Underwater Image Semantic Segmentation with Weighted Average Ensemble

Underwater image segmentation is a method that could help with underwater exploration because it is useful and impactful in the understanding and study of the marine environment.However, it is a difficult and challenging task compared to regular image segmentation due to the nature of the images themselves, which are of lesser quality, as well as the limited availability of publicly accessible datasets.In this work, several deep learning-based approaches were implemented and a solution for underwater image segmentation was proposed.The proposed method was developed using a smaller dataset with low resolution images.The proposed method consisted of several image segmentation deep learning models such as U-Net, LinkNet, and Feature Pyramid Network (FPN) with different encoders specifically Inception-V3 and ResNet34.The weighted average ensemble method was used to combine the results of each models mentioned to identify the optimized combination.The proposed method was then compared with the individual models to provide comparison and benchmark on the ensemble approach to the single model approach.The proposed method achieved an accuracy of 62.48% where it outperformed all individual models.As a result, aggregating expected results from numerous models gives better performance when compared to individual model predictions.