Reviewerly/exHarmony huggingface dataset:
TECHNIQUILT – A FRAMEWORK FOR WEB DEVELOPERS

In recent years, websites have become a vital tool for communication between various people and organizations.Users prefer to do their work using online means rather than travelling to many organizations physically, which also saves a lot of time and money.A user will be supplied with a variety of facts about their chosen subject with only a few clicks.Different sorts of websites offer numerous services.Different organizations invest more time and effort into constructing attractive and useful websites rather than large physical facilities because doing so will fully satisfy user needs.The construction of dynamic, interactive, and scalable web applications is accelerated using web development frameworks.This abstract provides a summary of a complete framework for web development that attempts to improve the process efficiency and scalability.The proposed framework encompasses a collection of tools, libraries, and methodologies that work in harmony to facilitate rapid application development while maintaining code quality and robustness.It leverages modern web technologies, design patterns, and development best practices to provide developers with a structured and efficient approach.Furthermore, the framework incorporates a variety of libraries and tools for handling common web development tasks, such as user authentication, database management, and API integration.These components are carefully selected and integrated to reduce development time and effort, enabling developers to focus on implementing business logic rather than reinventing the wheel.Security is prioritized throughout the development process by the framework as well.It promotes the use of security best practices such input validation, secure code, and defense against widespread web vulnerabilities.The architecture attempts to reduce potential threats and protect sensitive user data by incorporating security measures at each tier.There are several factors that make traditional software development differ from web system development.Available approaches are also used to check whether certain features that are suggested in the proposed framework are present.Finally, a preliminary framework is suggested to address the requirements of a certain web development process model.
A Novel Chemometric Approach for Oil &amp; Source Rock Clustering

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Translation Methods in Informative Text of an Assessment Report on Joint Commissioning and Test of the HN Urban Rail Transit Equipment System (excerpt)

This paper is based on the source text of An Assessment Report on Joint Commissioning and Test of the HN Urban Rail Transit Equipment System (excerpt) ( hereinafter referred to as Rail Transit Report), which is a C-E translation project the translator participated in.Reiss' text typology theory serves as guideline in this paper.By understanding of text type translation theory and taking examples from lexical and syntactic aspects, some translation methods and experiences are summarized to achieve the main purpose of information transmission.
Construction of Wisdom Teaching Model for College English Based on OBE Concept

As is well known, English teaching plays a crucial role in the process of talent cultivation in higher education.With the increasing advancement of higher education reform and the new requirements put forward by the country for talents in the new era, Chinese universities are promoting the reform of college English courses to meet the needs of society for talents.The OBE education concept is an advanced educational concept that is widely applied in the teaching of English courses in universities in China.The development of wisdom teaching has brought tremendous impact and test to traditional education models.However, opportunities and challenges coexist, and educational informatization has also brought significant innovation and adjustment to college English teaching.This paper elaborates on the connotation and characteristics of OBE education philosophy, as well as the importance of building a wisdom teaching model for college English, through the main problems currently existing in college English teaching.Its purpose is to provide reference for college English to adapt to the changes of the times.
Research on the practice and thinking of leisure culture education for the elderly in the community

Leisure is an important component of cultural view and values.Leisure culture education for the elderly is a major livelihood issue and a social problem.The author believes that our education on leisure culture for older people should be focused on inheriting traditional forms of leisure, such as flower tea, keeping birds as pets, enjoying good food, and engaging in fishing, as well as activities like reading books, playing chess, writing poems, practicing calligraphy, and promoting the usage of special voluntary services, society for tourism, old university or online learning communities, and understanding new ways of pension involving AI technology.According to the conclusions and thoughts drawn from the practice of the elderly in the community, the government supports the development of the elderly in policy fund organization; the residents have great potential to accept leisure culture; the community workers have strong working ability and enthusiasm; the facilities of the community leisure activities need to be improved; the development of community leisure culture education lacks systematic planning; the quality of residents' leisure culture awareness needs to be improved; the teaching ability of the leisure activities is poor, rely on other social organizations or external teachers or instructors; and the content of cultural activities needs to be enriched.
Enhancing the accuracy of breast cancer detection and determination of risk factor by using the backpropagation network theory and SVM: Machine learning

According to the world health organization, every year, more than 8% of women suffer due to breast cancer, and 40% of women die in low-poverty regions. This entire work focuses on the algorithm to detect breast cancer. This algorithm improves the accuracy of the detection and the risk factor determination by using the backpropagation network (BPN) theory and the Support vector method (SVM). By the end of the entire work, the improved accuracy is up to 95% compared to other forms; this proposed method is proper when evaluating the patient report in the image format, like a scanning report.
Impact of Foreign Direct Investment on Poverty in Ghana: A Johansen Co-integration Analysis

In the past years, Ghana has witnessed a significant increase in Foreign Direct Investment which is expected to translate into transformative growth that reduces poverty and inequality; however, the country’s poverty and income inequality profile remain high. Foreign direct investment (FDI) and poverty research are important because FDI can have both positive and negative effects on poverty levels in host countries [1]. The positives imply that FDI can bring in capital, technology, and job opportunities, which can help reduce poverty by boosting economic growth and raising people's living standards. On the other hand, FDI can displace local businesses, exacerbate income inequality, and have environmental consequences that harm the poorest members of society. Understanding the relationship between FDI and poverty can assist policymakers and businesses in making informed decisions that promote inclusive and sustainable economic growth and reduce poverty. This study investigates the impact of FDI on poverty in Ghana using a 29-year data set from (1990 to 2018). Analysis was done using the Johansen Cointegration technique. The literature informed the variables used for this study. The Gini coefficient (which serves as a proxy for poverty and its parts of the FGT poverty indices family), foreign direct investment (FDI), GDP per Capita, exchange rate, trade openness, and inflation rate were all cointegrated. The results of the study showed that FDI, GDP per capita, inflation rate, and exchange rate widen the income inequality gap, hence, increasing the poverty incidence. In contrast, an increase in trade openness reduces the Gini coefficient implying a reduction in income inequality and poverty.
Radar Cross Section-based Multiple Hypothesis Target Identification Algorithm Using Aspect Angle Dynamics

This paper proposes a practical algorithm to identify re-entry targets using radar cross-section (RCS) measurements. Considering that the RCS pattern depends on two unknowns, the target shape and aspect angle, we formulate the target identification problem as a posteriori probability estimation of the corresponding hypothesis. Each hypothesis is propagated by considering the aspect angle variations, and its probability is calculated by using a pre-trained RCS distribution model and the measurement sequence. By merging hypotheses with the same angular transition history, we develop a suboptimal algorithm suitable for real-time implementation. Simulation and analysis results for a typical re-entry target tracking scenario are presented to validate the superiority and reliability of the proposed method over existing HMM-based approaches.
Phase-field Models for Lightweight Graph Convolutional Networks

In this paper, we design lightweight graph convolutional networks (GCNs) using a particular class of regularizers, dubbed as phase-field models (PFMs). PFMs exhibit a bi-phase behavior using a particular ultra-local term that allows training both the topology and the weight parameters of GCNs as a part of a single "end-to-end" optimization problem. Our proposed solution also relies on a reparametrization that pushes the mask of the topology towards binary values leading to effective topology selection and high generalization while implementing any targeted pruning rate. Both masks and weights share the same set of latent variables and this further enhances the generalization power of the resulting lightweight GCNs. Extensive experiments conducted on the challenging task of skeleton-based recognition show the outperformance of PFMs against other staple regularizers as well as related lightweight design methods.
Musical Minimalism and Russian Musicology: History of Research, Genesis and Evolution

The article presents an analysis of the main versions of the emergence and evolution of minimalism, proposed by both domestic and foreign art history. In the domestic literature of the 80-90s, there was an opinion that the origin of musical minimalism was a reaction to the European avant-garde that preceded it. However, today this statement looks somewhat speculative and not entirely reliable, due to objective historical reasons. The lack of information about Western art in all its diversity that existed at that time made it necessary to fill in the informational gaps with theoretical constructions and assumptions, one of which turned into a sincere conviction of many researchers that each new avant-garde phenomenon arose as a reaction to the previous one. Given the lack of facts, such a view could be considered quite justified, but it did not make it possible to recognize the true nature of minimalism. The modern level of information accessibility makes it possible to overcome the prevailing stereotype regarding the genesis and evolution of minimalism. The role of the international creative association “Fluxus” was very important in its development, in the ranks of which both representatives of the European avant-garde and American experimenters freely exchanged ideas. Very different and sometimes underestimated sources merged in musical minimalism, among which are the heritage of the musical and non-musical avant-garde, abstractionist and visual minimal art, experimental audio technicism and actionism, and an appeal to non-European music. This fusion of ideas and artistic techniques eventually formed a new synthetic phenomenon; a special minimalist style of a number of American composers - T. Riley, S. Reich, F. Glass, J. Adams, as well as European composers, among which M. Nyman became the most prominent figure. It was Nyman who proposed to extend the term ‘minimalism’ to the art of music, starting with the creative searches of J. Cage and his followers. In recent decades, among domestic musicologists, in relation to minimalism, the prefix ‘post’ has been increasingly added, heralding the transition to the era of postminimalism. However, in the avant-garde currents, such a transition was never synchronous and occurred gradually, when the subject of artistic reflection consistently rejected and replaced the former modernist conceptualism, actualizing direct perception and emotional reactivity. However, in musical minimalism, including its Russian branch, the mentioned process has not yet reached its final stage.
A MODERN APPROACH TO BUILDING A METHODOLOGICAL SYSTEM OF TEACHING BIOLOGY

The article reveals modern approaches to the construction of a methodical system of teaching biology. It has been determined that teaching biology is a branch of pedagogical science that is formed on the basis of pedagogy and biology and is separated into a separate category that considers rational ways of managing the learning process, as a result the mastery of conscious and strong competencies necessary for any educated person takes place. Biology as an educational subject is characterized by the originality of the forms and methods of teaching, which arise from the specifics of the objects of study (living organisms, phenomena of living nature, and their development). The introduction of a methodical system of teaching biology will ensure the formation of modern general biological concepts and a scientific picture of the world among students. A thorough analysis of the concept of a “methodical education system” has been carried out. It is considered as a complex of interrelated goals, principles, content, methods, means, and organizational forms of education, which, based on the interaction of the teacher and students, provides a predicted positive result.&#x0D; The methodological system of teaching biology is considered as a complex dynamic structure containing a set of interconnected components, such as goals, content, forms, methods, and a complex of educational and methodological support. Cross-cutting content lines are the integration of educational content, correlated with key competencies. Their mastery ensures the formation of value and worldview orientations. It has been proven that the methodological system of teaching biology should be based on the principles of providing biological education with new progressive concepts, the introduction of modern advanced technologies and scientific and methodological achievements into the educational process; organic integration of education and science, active use of the scientific potential of research institutions, formation of new ecological foundations of the biological education system; strengthening the popularization and promotion of science; departure from authoritarian pedagogy; introduction of educational and methodical complexes of a new generation. The use of interactive online resources and the use of observations and experimental work are mandatory.
ONE-CLASS FUSION-BASED LEARNING MODEL FOR ANOMALY DETECTION

The Dempster-Shafer (DS) theory of evidence is frequently used to combine multipe supervised machine learning models into a robust fusion-based model. However, using the DS theory to create a fusion model from multiple one-class classifications (OCCs) for network anomaly detection is a challenging task. First, the lack of attack data leads to the difficulty in estimating an appropriate threshold for the OCC models to distinguish between normal and abnormal samples. Second, it is also very challenging to find the weight of OCCs that corresponds to the contribution of each OCC model in the fusion model. In this paper, we attempt to solve the above issues in order to make the DS theory applicable for constructing OCC-based fusion models. Specifically, we propose two novel methods for automatically choosing the appropriate threshold of OCCs and for estimating the weight of individual OCCs in fusion-based models. Thanks to that, we develop an One-class Fusion-based Anomaly Detection model (OFuseAD) from multiple single OCCs. The proposed model is evaluated on ten well-known network anomaly detection problems. The experimental results show that the performance of OFuseAD is improved on almost all tested datasets using two metrics: accuray and F1-score. The visualization results provides the insight into the characteristics of OFuseAD.
IOSL: Incremental Open Set Learning

Class incremental learning (CIL) has drawn wide attention in academic researches. However, most existing methods cannot be applied to some practical scenarios in which unknown classes occur during the inference stage. To solve this problem, we target a more challenging and realistic setting: <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Incremental Open Set Learning</i> (IOSL), which needs to reject unknown classes from test data while incrementally learning new classes. IOSL has two coupled key challenges: 1) overcoming the catastrophic forgetting of old classes when learning new classes incrementally due to the rarity of old training samples, and 2) minimizing the empirical classification risk on known classes and the open space risk on unknown classes. To address these challenges, we propose an incremental open-set learning method with a “future-look” ability. This ability reserves embedding space for incrementally arriving new classes and potential unknown classes simultaneously to alleviate the catastrophic forgetting indirectly and recognize unknown classes well. Specifically, a normalized prototype learning strategy is designed to minimize the empirical classification risk and implicitly reserve some space. Moreover, we design an extra classes synthesizing module to explicitly reserve more suitable space. This further minimizes the empirical classification risk while reducing the open space risk. Furthermore, we develop an adaptive metric learning loss to mitigate the class imbalance between old and new classes, which focuses on exploiting exemplars fully and selects an adaptive margin for pairs of old and new classes. Extensive experiments on representative classification datasets validate the superiority of our method.
Smartphone Use of Freshman Students at a Private University in Iraq

A wealth of research has been carried out on smartphone use in line with the revolutionary advancements in ICT technologies.However, employing an example of figurative language to describe smartphone use is not common in previous studies.This study was conducted to contribute to the literature in this regard.Therefore, 40 Foundation English students at a private university in Erbil, Iraq were chosen by systematic sampling method.The students took a survey, a questionnaire and an interview within 10 weeks.Quizizz software program was used to conduct the questionnaire and the survey.Subsequently, MAXQDA software program was used to transcribe and analyze the interview.Content analysis method was preferred to classify the themes and interpret accordingly.During the data collection process, students` favorite activities, daily or weekly usage and importance of smartphones were explored in detail.Students` simile examples were classified under 4 subheadings which were food and drink, electronic devices, stationery items and people.The findings revealed that social media platforms were the most popular pastimes; the amount of time on smartphone increased during the weekend; smartphone addiction level was noticeable.The findings of this study may have some implications on the problematic use of smartphones and its adverse effects on users` personal, social and professional lives.
Secure Academic Certificates Using Blockchainbased Technology

Technology is part of everyday life in any academic center. Manual tasks are replaced by automations that facilitate processing and save time and resources. However, the legitimacy of the data contained in digital documents is at risk due to the ease with which it can be adulterated. This paper proposes to automate the task of issuing customized digital academic certificates for educational institutions, without neglecting security. This process is supported by a mechanism that guarantees the immutability of the data through a prototype that uses Blockchain-based technology. To this end, tests were carried out to guarantee the unalterability characteristic of this technology and thus ensure that the information contained in the documents is not easily modified. The system also underwent a set of functional tests, which helped to determine that the system is in an optimal state to be used.
Machine Learning Strategies to Analyze Positive or Negative Sentiments in Twitter Texts

The task of analyzing people’s emotions and feelings is known as Sentiment Analysis (SA). Currently, several techniques have been used together for extracting and detecting feelings, such as Natural Language Processing (NLP) and Machine Learning (ML) algorithms. The present work aims to reuse and evaluate an intelligent model to analyze positives or negatives in Portuguese texts on Twitter, considering that these feelings can be indicators of depression. Therefore, we have used ML algorithms together with SA and NLP techniques, resulting in an accuracy of 79%.
The State-of-the-Art of Research in the Production of Brazilian PhD and MSc Theses that Address the Use of Virtual Reality in Education

This work presents the result of a State-of-the-Art survey regarding the production of Phd. and Masters’ theses that address the use of virtual reality in the practice of education in Brazil. The survey was carried out using the CAPES (Coordination for the Improvement of Higher Education Personnel)’ Catalog of Theses, from 2018 to 2022. The survey brought 12 works that adhered to the research purposes. These works come from different regions of Brazil and most of the productions come from Masters’ degrees. Despite the theme being relevant to the academic environment due to the potential for advancement in the tools applicable to students and the educational institution, it is little explored as research in dissertations and theses, which creates space for works that focus on the exploration of Reality technologies Virtual and similar and their uses in the educational context.
We Help : Platform to find service providers

These days, finding a service or service provider that suit a user’s specific needs may not be a simple task. To assist in this task, several software applications have emerged. This article presents the We Help platform, which consists in a web and mobile application, and has the goal of helping service providers promote their work, and evolve with their business, as well as facilitate and help its potential users to find the right service(s) for their specific need. The platform allows service providers to advertise their services and allows potential users to filter the results so that the information is presented in an appropriate way considering their specific needs. We Help also provides a ChatBot to support the use of the platform by its users. We Help was developed using OutSystems’ low-code development platform and to implement the ChatBot was used an OutSystems component that uses Azure resources. Unit tests were conducted to the various features implemented, after the prior definition of acceptance criteria for each of them. The We Help application was made available to a set of potential users to perform acceptance tests and the initial results indicate that the application was globally well accepted by the respondents.