Reviewerly/exHarmony huggingface dataset:
A Hybrid Unsupervised Density-based Approach with Mutual Information for Text Outlier Detection

The detection of outliers in text documents is a highly challenging task, primarily due to the unstructured nature of documents and the curse of dimensionality. Text document outliers refer to text data that deviates from the text found in other documents belonging to the same category. Mining text document outliers has wide applications in various domains, including spam email identification, digital libraries, medical archives, enhancing the performance of web search engines, and cleaning corpora used in document classification. To address the issue of dimensionality, it is crucial to employ feature selection techniques that reduce the large number of features without compromising their representativeness of the domain. In this paper, we propose a hybrid density-based approach that incorporates mutual information for text document outlier detection. The proposed approach utilizes normalized mutual information to identify the most distinct features that characterize the target domain. Subsequently, we customize the well-known density-based local outlier factor algorithm to suit text document datasets. To evaluate the effectiveness of the proposed approach, we conduct experiments on synthetic and real datasets comprising twelve high-dimensional datasets. The results demonstrate that the proposed approach consistently outperforms conventional methods, achieving an average improvement of 5.73% in terms of the AUC metric. These findings highlight the remarkable enhancements achieved by leveraging normalized mutual information in conjunction with a density-based algorithm, particularly in high-dimensional datasets.
Ensemble Rock Application for Classification of Slb in Riau Province Based on Infrastructure Facilities

The 2020 school participation figure states that 20.56% of children in the disability category have the status of not/never been to school (BPS, 2020). This shows that there are still many children with disabilities who have not received adequate education. Therefore, attention to the availability of facilities and access to education for children with disabilities needs to be increased so that there is no inequality of school participation between children with disabilities and non-disabled children. On extraordinary school data statistical methods can be applied for various purposes. The method that can be used to group mixed-type data is ensemble. In this study, the ensemble ROCK (Robust Clustering using links) method was used at 47 extraordinary schools in Riau Province. Using the value 𝜃 of 0.22 in the ROCK ensemble method, we get 3 optimal clusters with a ratio of 0.08177794. It was found that cluster 3 is a cluster that does not have adequate facilities such as a laboratory, library and internet network than other clusters. It can be said that cluster 3 needs more attention than other clusters.
Poetry’s upper limit

Louis Zukofsky’s poetic work has always been noted for its difficulty. Throughout his career, he kept in mind the principles created by Ezra Pound, and he made music the focus of his poems. This focus is all the more visible in his major work “A”. Composed of 24 movements, “A” is the culmination of its author’s capabilities. There, Zukofsky famously expressed his poetic views using the integral speech ∫ music where speech and music are the limits defining the interval in which poetry is bound. “A”-24, the poem’s last movement, is an illustration of Zukofsky’s will to create a musical poetry. Written with the help of his wife, Celia, and otherwise titled L.Z. Masque, the poem is composed of four different lines of text, all quotations from works by Zukofsky. Marked T for thoughts, D for Drama, S for story, P for poetry, Zukofsky’s different works are there set to music, using Handel’s Harpsichord Pieces. The superimposition of these different works leads to a shift in the perception of the poetic work. In this radical challenge to the practice of reading, Zukofsky’s movement pushes poetry to the limit, one that needs to be questioned.
Effect of Ease of Doing Business and Entrepreneurship Training on Sales Growth of Small and Medium Enterprises in Gboko Metropolis, Benue State, Nigeria

The study examined the effect of ease of doing business and entrepreneurial training on sales growth of SMEs in Gboko metropolis, Benue State, Nigeria. The study employed a survey design and hence made use of a structured questionnaire (Four Likert Scale) designed by the researcher to gather data. Four research questions and four hypotheses guided the study. Reliability (Cronbach Alpha) estimate of 0.941 was obtained for the questionnaire. With the aid of Taro-Yamane formula, two hundred and forty-eight (248) SME Managers operating in different sectoral activities were sampled from 650 registered SMEs in Gboko metropolis. Data were analysed using mean and standard deviation, while four hypotheses were tested using Analysis of Variance at 0.05 level of significance. Findings showed that ease of doing business and entrepreneurship training has a significant effect on sales growth of SMEs in Gboko metropolis of Benue State. The research questions were answered using mean and standard deviation, while hypotheses were tested using Analysis of Variance (ANOVA) at a 0.05 level of significance. The study found that all the p-values were less than 0.05, indicating that both variables were statistically significant in affecting sales growth of SMEs in Gboko metropolis, Benue State. The study concluded that both variables have a significant effect on sales growth of SMEs in Gboko metropolis of Benue State. The study suggests, among others, that Government should facilitate productive dialogue with private sector investors to remove barriers to doing business by deploying approaches that promote market access across the country.
An Analysis of The Acceptance and Accuracy of Google Translate’ s Translation of The Song 'Run' By Onerepublic into Bahasa Indonesia

This research discusses the acceptability of Google Translate's translations in the song 'Run' by OneRepublic. The aim of this study is to determine the acceptability of Google Translate's translations in translating the song 'Run' by OneRepublic, using adaptation translation techniques and communication in analyzing the structural aspects of the translation results. This research is qualitative in nature and employs a case study model with a documentation method. The findings of this research indicate that in translating songs, especially 'Run' by OneRepublic, the structural aspects of the translation align with the Source Language (BSu). However, the translations produced using Google Translate's features still lack acceptability, as they appear rigid and challenging to comprehend
A Qualitative Study on the Informal Learning of Manufacturing Engineers

Objectives The study aims to identify the factor in manufacturing engineers recognizing the necessity of informal learning and its methodology.&#x0D; Methods The study collected data through in-depth interviews with seven manufacturing engineers from S manufacturer and the interview contents were recorded, transcribed, reduced, categorized, and coded. Validity was secured through document analysis and mutual consultation between researchers.&#x0D; Results The factor in manufacturing engineers recognizing the necessity of informal learning is indicated with ‘Pride as a Specialist,’ ‘Enhancing Expertise,’ and ‘the Demand and Expectation of the Supervisor.’ The informal learning to develop the foundation of engineers’ expertise is found to be the ‘Learning from Seniors or Immediate Supervisor’ and ‘4-5 years of the Training Period.’ The informal learning to expand the range of expertise is verified as the ‘Searching Knowledge Outside of the Organization’ and ‘Using Collective Intelligence of the Organization.’ The informal knowledge to intensify the depth of expertise is ‘Development and Use of Meta-cognition’ and ‘Interpretation of the Meaning of the Phenomenon’.&#x0D; Conclusions To promote the development of manufacturing engineers’ expertise, it is necessary for companies to provide opportunities for informal learning with institutional support considering various elements that affect informal learning.
The Strategies Used By English Language Learners To Learn Grammar

This study sought to identify the various types of learning techniques used by Muhammadiyah Sidenreng Rappang University students enrolled in the English education study program. Seventy-five first-semester students who were enrolled in a basic English grammar course served as the study's subjects. Data collection and analysis were conducted using descriptive quantitative. The study's findings indicated that metacognition (20, 93%), cognitive (18, 49%), social (17, 83%), affective (16, 48%), memory (15, 97%), and compensatory (10, 25%) were the learning strategies that students used the least when studying grammar. Additionally, the ability to focus on a specific grammar pattern, attempt to grasp it, and make connections to previously learned material is another reason why students frequently employ metacognitive strategies when studying grammar. As a result, it is recommended that teachers should be aware of the various learning strategies and then assist the students as they study in order to improve learning outcomes.
Futurism Concept Kits

Visual artifact created for FORL 370 during Spring 2022
AI and Blockchain: Towards Trustworthy and Secure Intelligent Systems

AI and Blockchain are two of the most promising technologies of the 21st century. They both have the potential to revolutionize various industries and bring about significant changes in the way we live and work. However, for AI and Blockchain to reach their full potential, they must be implemented in a trustworthy and secure manner. This is where the combination of AI and Blockchain comes in. By using Blockchain technology to secure and validate the data used to train AI systems, we can ensure that these systems are trustworthy and reliable. Additionally, by using AI to secure and validate Blockchain transactions, we can ensure that these transactions are safe and secure. Together, AI and Blockchain have the potential to create intelligent systems that are both trustworthy and secure. The integration of AI and Blockchain can also enable new use cases such as decentralized autonomous organizations (DAOs) which can take decisions autonomously by using AI, and Smart contracts which can automatically execute the terms of a contract when certain conditions are met. This can bring about improvements in transparency, immutability, and accountability in various industries such as finance, healthcare, and supply chain management. However, the integration of AI and Blockchain also raises important ethical and legal considerations, such as privacy, bias, and accountability. Therefore, it is crucial to continue researching and developing best practices for the implementation of AI and Blockchain in order to ensure their responsible and effective use.
An Enhanced Approach to Recommend Data Structures and Algorithms Problems Using Content-based Filtering

Data Structures and Algorithms (DSA) is a widely explored domain in the world of computer science. With it being a crucial topic during an interview for a software engineer, it is a topic not to take lightly. There are various platforms available to understand a particular DSA, several programming problems, and its implementation. Hacckerank, LeetCode, GeeksForGeeks (GFG), and Codeforces are popular platforms that offer a vast collection of programming problems to enhance skills. However, with the huge content of DSA available, it is challenging for users to identify which one among all to focus on after going through the required domain. This work aims to use a Content-based filtering (CBF) recommendation engine to suggest users programming-based questions related to different DSAs such as arrays, linked lists, trees, graphs, etc. The recommendations are generated using the concept of Natural Language Processing (NLP). The data set consists of approximately 500 problems. Each problem is represented by the features such as problem statement, related topics, level of difficulty, and platform link. Standard measures like cosine similarity, accuracy, precision, and F1-score are used to determine the proportion of correctly recommended problems. The percentages indicate how well the system performed regarding that evaluation. The result shows that CBF achieves an accuracy of 83 %, a precision of 83 %, a recall of 80%, and an F1-score of 80%. This recommendation system is deployed on a web application that provides a suitable user interface allowing the user to interact with other features. With this, a whole E-learning application is built to aid potential software engineers and computer science students. In the future, two more recommendation systems, Collaborative Filtering (CF) and Hybrid systems, can be implemented to make a comparison and decide which is most suitable for the given problem statement.
A Best Price Web Scraping Application for E-commerce Websites

Web scraping is an approach for extracting loads of data from websites and handling this data as per need, for instance, saving to a local file on a computer or to a database in table or spreadsheet format. With the evolution of technology, there has been an increased demand of e-commerce websites, making online shopping the choice of every individual as it is easy and saves time. But at the same time plethora of choices have also caused confusion among buyers as to which product to choose based on the different prices offered for each product. Searching on several shopping portals and comparing is a tedious job. So, to make tasks easy, a web scrapping application for e-commerce websites has been developed and is presented in this paper. This application helps to collect data from several shopping portals, like Amazon, Flipkart, Myntra so on and displays them in a single catalog, so that the user can save time by avoiding browsing individual website to select the product that cost the user less. Based on the search query made by the customer, this application scrapes through various websites and show cases the prices offered by various vendors and shopping portals at one place.
Enhanced Adaptive Multi-level Clustering of Long Tail Items

The interest in large-scale recommendation systems is growing owing to the tremendous increase in data capturing capacity and need to analyze the data thus captured. The recent explosion of available data is also triggered by the application of IoT to various fields. The need for studying the Large-Scale RS is all the more important with this kind of technology capturing data at a very high speeds, from variety of devices in various different forms. Most of the research in this field is toward handling the large data. We propose an adaptive multilevel clustering of Long Tail Items to handle the large data. The proposed idea is improving the recommendation accuracy through adaptive approach for large data with long tail items.
Letter From the President [President’s Message]

Hello again! My name is Mariko Burgin, and I am the IEEE Geoscience and Remote Sensing Society (GRSS) president. You can reach me at president@grss-ieee.org and @GRSS_President on X, formally known as Twitter.
From Monism to Pluralism: Cassirer’s Interpretation of Kant

Kant’s theory of cognition aimed to explain the possibility of scientific knowledge. Aesthetics and life science were not considered by Kant in the context of cognition. By contrast, Cassirer set himself a philosophical task to extend Kant’s theory of cognition to all forms of culture, including pre-scientific knowledge and aesthetics. The present study demonstrates how Cassirer explained the possibility of different objective forms, named symbolic, by employing and transforming Kant’s theory of cognition. For this goal, Cassirer took the following steps: modified the definitions of a priori synthesis (the act of understanding) and pure intuition (the forms of space and time) - main building blocks of Kant’s cognition; indicated the necessary correlation of intuition and synthesis; characterized a priori synthesis and the intuition as notions which include contradicted meanings. Cassirer called this contradiction “twofold oppositions” as characteristic of a priori synthesis. The first argument of the article is that the possibility of various synthetic acts is rooted in the nature of a priori synthesis which carries together two different meanings: the act of uniting elements and the initial unity. One synthetic act forms the world of nature and is connected to scientific space and time, and the other is the product of immediate perceptional space and time, from which the world of myth and aesthetics appears. Thus, Cassirer expanded the scope of “pure” synthesis. The second argument is that Cassirer specified a priori synthesis and pure intuition as a functional concept. The functional concept belongs to the model of concept as-relation that Cassirer has elaborated. It includes moments that are separated and united simultaneously. This definition of concept breaks the rules of consistency. The concept of as-relation justifies the contradictory characteristics of a priori synthesis and pure intuition, which include both the combination of moments in a synthesizing act and the initial unity of intuition.
Organizational and Pedagogical Conditions for the Formation of Critical Thinking Among Schoolchildren by Future Teachers

The article is devoted to the problem of the formation of critical thinking among schoolchildren by future teachers. Critical thinking is presented as one of the metacognitive competencies; it allows a person to competently assess possible information risks and threats existing in the modern world in the media environment. The article analyzes the works of researchers who reveal not only the essence and content of critical thinking (V.S. Bybler, E.D. Bozhovich, V. Bolotov, A.V. Klimanova, etc.), but also its significance for the individual. In particular, the personal importance of critical thinking is analyzed in the context of ensuring information and psychological security, safe behavior in the information environment (A.A. Akhmetvalieva, M.V. Golovko, M.V. Gordienko, R.V. Grigoryan, V.F. Kupetskova, T.A.Malykh, D.S. Sinitsyn, L.A. Sorokina, T.V. Kharlampyeva). The aim of the work was to study the role of critical thinking as a component of metacognitive competencies in ensuring information-safe behavior, as well as to determine the theoretical and methodological foundations for the formation of critical thinking in students. When studying the works of researchers, methods were used to systematize and summarize information on the formation of critical thinking. Based on the analysis of the studied works, it was noted that in the current educational practice, the formation of critical thinking is carried out in relation to two groups of subjects: in relation to schoolchildren and in relation to students – future teachers. At the same time, it was also recorded that there is a shortage of research in the field of preparing future teachers for the activities of forming critical thinking in schoolchildren. As a result of the conducted research, the main organizational and pedagogical conditions for the formation of critical thinking among schoolchildren by future teachers are highlighted. The leading organizational and pedagogical conditions include the following: the stages of the process of forming critical thinking, the organization of self-diagnosis of critical thinking, the monitoring of readiness for critical thinking in the process of educational activity, the introduction into the educational process of electronic educational and methodological complexes for the independent development of strategies for the formation of critical thinking, etc.
Pedagogical Mentoring as a Condition for the Quality of Practical Training of Undergraduate Students of Preschool Profile in a University

The article discusses the problematic aspects caused by the increased requirements for the level of practical training of future teachers of preschool education in a university. Currently, one of the key directions in the development of education is mentoring, which is a process of accompanying and supporting a student in personal and professional development. In the professional development of a future teacher, mentoring is determined by an effective tool for increasing motivation, developing self-regulation skills, social responsibility and career prospects. Practical training of pedagogical university students through pedagogical mentoring is an important stage in the process of preparing future teachers for the profession and provides them with the opportunity to acquire the necessary experience and knowledge for successful work. This article presents a theoretical analysis of the current state of the implementation of pedagogical mentoring as an indicator of the quality of training of preschool bachelor students in the conditions of the Republic of North Ossetia-Alania. The main attention in the article is paid to the problem of the implementation of pedagogical mentoring in the developed model “high school teacher-university student-teacher-mentor of a preschool educational institution (head of practice); disclosed its stages in the content of the methodological practice of university students. The conclusions state that this model will improve the quality of practical training of future teachers of preschool education in a university environment, ready to work with preschoolers, as well as improve the professional level of pedagogical skills of university teachers and preschool teachers. The implementation of the main idea of the project of pedagogical mentoring will make it possible to determine promising opportunities for the further professional development of future preschool teachers.
Improving Students Vocabulary Mastery By Using Fly Swatter Game At The Seventh Grade Students Of SMP Negeri 2 Kulo

The Objective of the research was to find out whether or not the fly swatter game improves the vocabulary mastery of seventh-grade students at SMP Negeri 2 Kulo. The method of investigation used in this study was the pre-experimental method with one group pre-test and post-test design. The population was the seventh grade students of SMPN 2 Kulo. The sum number of the population was 60 students consisting of three classes and one class (VII.1)was taken as a sample by using the purposive sampling technique, the sum number of thesample was 20. The instrument used in this research was to treat the group. The results of this study revealed that the pre-test received a mean score of 52,00, while the post-test received a mean score of 52,00. (78,55). The p-value (0.000) was lower than the level of significance (alpha = 0.05), indicating that the p-value (0.000) was lower than the level of significance. This means that H1 was accepted. The research concluded that teaching at the seventh-grade students of SMP Negeri 2 Kulo interested to learn vocabulary mastery by using fly swattergame.