Reviewerly/exHarmony huggingface dataset:
Innovation in Times of Crisis

In a short essay, I will examine the issues that plague education (e.g., achievement gaps, lack of learning materials, and access to learning) and how the COVID-19 pandemic brought them to the public’s attention. I will share my experience teaching during the pandemic and note the importance of seizing the opportunity to correct the inequities that have long afflicted educational institutions. I will explain the challenges of adapting a standards-based curriculum to an online format and how we must use the pandemic as a time of rebirth for America’s education system.
Natural Digital image Mixed Noise Removal Using Regularization Perona-Malik Model and Pulse Coupled Neural Networks

Abstract In the arena of digital image processing, mixed noise is normally shown. Nevertheless, the main limitation of the existing noise removal methods is the exploitation of the statistics of the original contaminated image only. This paper proposes a rapid and high accurate mixed noise removal method by combining Pulse Coupled Neural Networks (PCNN) and regularization of Perona-Malik equation (P-M equation) in order to remove unwanted contamination. In this regard, the locations of impulse noise are positioned by using PCNN, the second-generation wavelet filter is used in order to suppress the mixed noise into small local neighborhood, and then the full noisy image is denoised by exploiting the regularization of P-M equation. The fine details and sharp edges are well preserved in the proposed method. In addition, subjective and objective analyses are showed that the visual quality of the denoised technique outperformed state of the art noise removal methods. The experimental evaluation is conducted on well-known benchmark database images with mixed noise type. Furthermore, the results show that our proposed method can obtain more accurate and more reliable noise removal images than other approaches. Experimental results show that the proposed method provides accurate denoising performance with a low computational cost compared to nonlocal processing like NL-mean method.
E-Education in Foreign Higher Education Institutions: Criteria and Assessments

E-education is characterized by dynamic development all over the world, and therefore the mechanisms for assessing its quality do not have time to adapt to the current state in the educational environment. This study focuses on the experience of ensuring the quality of e-education in higher education institutions in Europe and Latin America. The article highlights the approaches that ensure the quality of e-education, as well as an analysis of the policy of universities involved in this area. It was revealed that external agencies for ensuring the quality of education occupy an important position as a supervisory authority in foreign higher education institutions. The process of developing a quality assurance system is characterized by openness and dynamism, therefore it needs to be integrated into the internationalization of education programs and specifically into e-learning. Assessment of the quality of education involves problematic issues, therefore, this phenomenon should be comprehensively investigated.
Advancing Digital Learning in a Traditional System

This report presents an exploratory study with three interviewees in Uruguay: a private school director in Montevideo, an APREnDER school director in Montevideo, and a Plan Ceibal employee who occupies a leadership position. The semi-structured interviews were conducted between November, 2020, and May, 2021, and centered on the leaders’ experiences to implement suitable teaching and outreach strategies to continue providing education. The findings suggest that Uruguay’s digital learning strategy has grappled with conciliating traditional views on education and digital learning. They further point to not all schools using digital learning resources during the pandemic even when these were available to them and their students, which suggests in some cases a digital divide originated by choice (Gunkel, 2003). The socio-economic gap seems then to depend not so much on the lack of means to acquire technological devices, but on the balance between the traditionally valued education system and the incorporation of new technologies.
Context Clues Knowledge and Reading Comprehension Skills of Grade 10 Students

This descriptive, comparative, and correlational research design aimed to determine the level of context clues knowledge and reading comprehension skills of Grade 10 students. A researcher-made validated and reliability-tested questionnaire was used to 246 randomly selected respondents composed of Grade 10 students in the three-class programs in the K-12 Curriculum. Mean and standard deviation yielded an outcome of average, which means students have acceptable knowledge in context clues and expanding results, which refers to an acceptable reading proficiency of students. Kruskal-Wallis and Post hoc Dunn's test revealed a significant difference in the context clues knowledge and reading comprehension skills when respondents are grouped according to class programs. Spearman Rank Correlation determined that there is a significant relationship between context clues knowledge and reading comprehension skills. The findings were utilized in the preparation of enhancement/supplementary activity worksheets in strengthening the students’ ability in word meaning and reading proficiency.
THE INTERACTION BETWEEN VIRTUAL REALITY GLASSES TRACKING TYPES AND COGNITIVE STYLE TO DEVELOP ENGLISH VOCABULARY SKILLS AND IMMERSION AMONG PRIMARY STAGES PUPILS WITH LEARNING DIFFICULTIES

This research aimed at measuring the impact of the interaction between virtual reality glasses tracking types (Positional- Rotational) and cognitive styles (impulsivity- reflectivity) to develop English vocabulary skills among primary-stage pupils with learning difficulties. Five instruments were utilized in the research process, and the results reported the test. English vocabulary checklists to identify the vocabulary that the course will use in the research, an English test to identify the learning difficulties of students in the English language, the test of mental ability to identify the IQ mean scores of students, a standard test of Kagan to measure the cognitive style (impulsivity- reflectivity), Pre and post-English vocabulary achievement test, immersion scale and the suggested English vocabulary skills program depends on (positional- rotational tracking type. The participants were students in grade five their number is (89) from the primary stage at Tarek Ibn Zaid school, Minia, Egypt. Using four groups of quasi-experimental design, the research followed applying tests of Mental ability, English tests to identify difficulties, Cognitive style test of Kagan, Then followed a pre and post-testing procedure before and after applying for the virtual reality program and apply the immersion scale at the end of the program. The quantitative results of the study indicated that there was no interaction between virtual reality glasses tracking type (positional -rotational) and cognitive style (Impulsivity-Reflectivity). This is due to the lack of a direct relationship between cognitive style and virtual reality glasses tracking type, especially in immersion with learning and acquiring English vocabulary skills, and that there is no preferred pattern for virtual reality glasses tracking type with one of the cognitive methods that he dealt with in the research, especially in learning and acquiring English vocabulary skills.
Chile's Digital Learning Strategy During the COVID-19 Pandemic

The change from in-person to in-home schooling and the rapid digitalization of the system impacted the access to education and the quality of the outcomes during the pandemic, but the extent to which digital measures helped school administrators to face that impact is difficult to understand without hearing from them directly. To give those who had to adapt to digital learning some voice, this report discusses the experiences of one national education policy expert, one Learning Resources Coordinator in a public school in Northern Chile, and one Technology Coordinator in an elite private school in Santiago during the process of adapting to digital learning. The goal of these semi-structured interviews was to explore the different digital learning strategies among systems and regions at the school-home level, to then compare them with the national vision and the information that official documents and Aprendo en línea provide. The interviews took place from November, 2020, to February, 2021, right between the end of Chile’s 2020 school year and the beginning of the 2021 one.&#x0D; The findings of the exploration indicate that school administrations, but also the type and position of schools within the education system, determined which digital strategy schools adopted and how successful it was. They further revealed the social disparities that prevailed by the lack of digital tools, but also new socio-educational challenges. In all, current Chilean officers stood out as the ones accountable for addressing the digital divide, which in this case can be understood as those who learned how to use digital tools (US National Telecommunications and Information Administration (NTIA), 1999), and those who are learning to create them.
A Comparative Study of Cultural and Traditional Education in Primary and Secondary Schools in Developed Countries Based on the MOPSO-CD-DNN Model

In today's globalization, cultural and traditional education in primary and secondary schools has become the core of a country's future development, and how to improve the educational effect of cultural and traditional education in primary and secondary schools and find the development direction of cultural and traditional education has become the top priority. In response to this problem, this study proposes a MOPSO-CD-DNN hybrid prediction model, which introduces an optimization algorithm to optimize the parameters of the deep learning model. In this study, multiple benchmark models and evaluation methods are used for comparative research. The results show that the MOPSO-CD-DNN model has significant advantages in both prediction accuracy and prediction stability. Compared with other models, the prediction accuracy G value (average) is improved by 4.66%, 7.43%, and 9.25%, and the standard deviation (G value) is decreased by 0.001, 0.0502, and 0.0413, indicating its effectiveness and applicability to cultural tradition education. In addition, the introduction of the multiobjective optimization algorithm significantly improves the generalization ability of the model, and the prediction effect is significantly better than the single-objective optimization algorithm.
A FCM-based image de-noising with spatial statistics pilot study

Abstract Image de-noising is an important scheme to make the image visually prominent and obtain enough useful information. To obtain reliable results, many applications had developed for effective noise suppression and received good image quality. This report assumed a residual image consisted of noises with edges produced by subtracting the original and a low-pass filter smoothed image. The Moran statistics was then using to measure the variation of spatial information in residual images and then as a feature data input to FCM. Three clusters pre-assumed for FCM in this work: they are heavy, medium and less noisy areas. The rates of each position partially belongs to each cluster were determined by a FCM membership function. Each pixel in noisy image assumed in de-noising processing that which is a linear combination of product of three de-noised images with membership function in the same position. Average filters with different windows and a Gaussian filter priori applied to this noisy image to make three de-noised versions. The results showed that this scheme worked better than the non-adaptive smoothing. This scheme‘s performance is evaluated and compared to the Bilateral filter and NLM using PSNR and SSIM. The developed scheme is a pilot study on this area. Further future studies needed on the optimized number of clusters and smoother versions used in linear combination.
Death of English and the Language of the Internet: Mistakes and Errors

ELT was introduced in the Western world in the 1970s, but it took another decade to reach India. There is no one-size-fits-all answer to the many problems ELT practitioners face in a linguistically and culturally diverse country like India. Emojis were the first language to emerge from the Internet. They evolved from the first emoticons, a blend of punctuation marks and other symbols. Emoticons have used cultural, ethnic, and gender cues to depict nearly every imaginable segment of our society. Internet has brought about a paradigm shift in human communication, expression, and human conscience. The sharp increase in the usage of emojis has made critics wonder about print-based literacy. Emojis are a popular choice among social-media platforms, facilitating a smoother interaction between intercultural speakers. This paper presents the finds of an error analysis conducted on the answercripts of the students of a management school. It is found that Students' inability to recognise or overlook a high number of faults in their work indicates a lack of concern for acceptable English use. Students' apparent disrespect for English language and usage was also attributed to their constant exposure to social media and other internet-based communication platforms.
Digital Learning Measures in Honduras During the COVID-19 Pandemic

This exploratory study aims to understand how learning policies and digital learning measures implemented in Honduras during the COVID-19 pandemic impacted access to education, quality of education, and socio-economic gaps. The study involved semi-structured interviews providing a valuable window into the perspectives of individuals across different educational strata in the country. First, the report outlines demographics in Honduras and actions at the start of the COVID-19 pandemic while considering preexisting socio-educational and socio-economic conditions of the country. Next, the study explores accessibility to education opportunities during the pandemic, quality of education opportunities for students of various socio-economic status, and possible concerns for society emerging from a limited access to quality education. Findings indicate that the socio-economic gap is fueling inequalities in access and quality to education opportunities more than in the past with potential negative effects in society at large.
Partner Reading Strategy to Improve Students' Reading Comprehension

The researchers decided to implement the Partner Reading Strategy in this research because it is an effective strategy for improving the students' reading comprehension. The students worked together to read, analyze, and discuss the text assigned in this cooperative learning strategy. This research aimed to help the students of the VIII C class of MTs Mambaul Hikam improve their reading comprehension using the Partner Reading Strategy and identify their engagement in learning activities. This research used a Classroom Action Research method as a research design. Partner Reading Strategy is an independent variable, and students' reading comprehension is a dependent variable. The subject of this research were 31 students, consisted of eleven (11) male students and twenty (20) female students. The researchers used some instruments to assess students' reading comprehension: formative tests and summative tests. In collecting the data, the writers used non-tests, including interviews, observation sheets, questionnaires, and field notes. The improvement of students' reading comprehension can be concluded from the improvement of the mean score of pre-test, formative test, and summative test. The summative test was given in the last meeting of each cycle. The result shows that using the Partner Reading Strategy successfully improved students' reading comprehension. Moreover, students' engagement played an influential role and impacted their learning outcomes. Implementing a Partner Reading Strategy can make students be involved in the educational activity and have a high level of engagement to earn high learning outcomes
Closed-Form Derivations of Infinite Sums and Products Involving Trigonometric Functions

We derive a closed-form expression for the infinite sum of the Hurwitz–Lerch zeta function using contour integration. This expression is used to evaluate infinite sum and infinite product formulae involving trigonometric functions expressed in terms of fundamental constants. These types of infinite sums and products have previously been and are currently studied by many mathematicians including Leonhard Euler. The results presented in this paper extend previous work by squaring parameters in the infinite sum of the Hurwitz–Lerch zeta function. This formula allows for new derivations featuring trigonometric functions with angles of powers of 2. The zero distribution of almost all Hurwitz–Lerch zeta functions is asymmetrical. A table of infinite products is produced highlighting the usefulness of this work and for easy reading by researchers interested in such formulae. Mathematica software was used in assisting with the numerical verification of the results in the tables produced.
Penerapan Clustering K-Means Untuk Mendukung Pengelolaan Koleksi Pada Perpustakaan Fakultas Teknik Universitas Negeri Gorontalo

One of the facility units that acts as a supporter of student learning in a university is the library. The library is a place where there are various collections of libraries that can enrich the knowledge of visitors. Thus, the management of additional collections is important in supporting this. Currently, the addition of book collections in the UNG Engineering Faculty Library is only based on references from statistical data on best-selling books, lecturer recommendations and the latest books without considering which collections are of interest to students. This can have a negative impact if there are additional collections in categories or types of books that are less desirable to read which can cause problems from the service side and financial losses of the library. Moving on from this problem, the K-Means clustering method will be applied to classify the reading interest of library visitors in this case are students. The supporting variables that will be used in the grouping will be divided according to the origin of the student majors by category of books, stock, number of books borrowed and number of books read. This grouping is expected to be a recommendation for library managers in managing the addition of book collections in the UNG Faculty of Engineering library.
Measuring the impact of the use of smart energy in logistics companies on technological progress, operations performance and green environment: Egypt as a case study

Purpose: This study aims to investigate the role of the use of smart energy in Logistics companies to increase technological progress, improve operation performance and lead to green environment. Design/ methodology/ approach: Primary data was collected through a questionnaire. This questionnaire targeted 80 employees working at Logistics Companies located in Egypt. The collected data was analyzed through using data testing using validity and reliability, descriptive analysis, testing regression assumptions, normality test for the research variables, correlation and regression. Findings: The results succeeded to prove that the use of smart energy has a significant effect on technological progress, operation performance and green environment. Research implications/ limitations: this research provides a clear understanding to the decision makers and policy makers of the suitable ways of applying smart energy projects in the logistics company in Egypt. It also showed the positive effect of smart energy projects on other variables, which will encourage the applying of the smart energy projects, whether in the logistics companies or in other fields. Moreover, this study has a limitation regarding the sample as it depends on a sample of 80 employees at a certain context the logistics industry. Originality: This paper adds new dimensions to the framework of smart energy, where previous studies only focus on the application and the usage of smart energy without focusing on its impact on other dimensions.
ANALISIS PERUBAHAN PENGGUNAAN LAHAN UNTUK EVALUASI KEJADIAN BANJIR DI KOTA MANADO

This study aims to evaluate land-use changes in the city of Manado against the occurrence of floods in 2021. Analysis of land-use changes was carried out using the overlay method on maps in 2013 and 2020 with the help of GIS. The runoff coefficient value is obtained based on the land use approach by using the runoff coefficient value table to determine the relationship between land use and runoff. The results of the study show that in the period 2013–2020 there have been changes in land use that disrupt hydrological functions. Forest land, mixed gardens, and shrubs decreased by 529.83 ha (3.48%), and conversely built-up land and open land increased by 124.14 ha (0.83%) which triggered an increase in surface runoff causing flooding. The increasing fulfillment of living needs along with population growth of 34,339 people (8.18%) in 7 years requires additional land for settlement, agriculture, and supporting infrastructure. Land-use change weakens hydrological functions and contributes to increased runoff. 17% of the rainfall in 2013 and 18% in 2020 will be a runoff. Rainfall in January 2014 and January 2021 was classified as very high (&gt;500 mm). It can be stated that the flash floods that occurred in Manado in January 2014 and 2021 were triggered by land use and high rainfall factors.
Improving the Prediction Accuracy of Soil Nutrient Classification by Optimizing Extreme Learning Machine Parameters

Abstract: Agriculture is a non-technical sector where in technology can be incorporated for the betterment. In this paper, the soil test report values are used to classify several significant soil features like village wise soil fertility indices of Available Phosphorus (P), Available Potassium (K), Organic Carbon (OC) and Boron (B), as well as the parameter Soil Reaction (pH). The classification and prediction of the village wise soil parameters aids in reducing wasteful expenditure on fertilizer inputs, increase profitability, save the time of chemical soil analysis experts, improves soil health and environmental quality. These five classification problems are solved using the fast learning classification technique known as Extreme Learning Machine (ELM) with different activation functions like Gaussian radial basis, sine-squared, hyperbolic tangent, triangular basis, and hard limit.
Effects of mind mapping on learning ESP vocabulary: a case study

The current study aims at examining the effects of using mind mapping strategy on learning ESP vocabulary.To this end, this study employed a quasi-experimental pre-test --post-test design to examine a cohort of 74 ESP students who were distributed as in: an experimental group (33 participants) and a controlled group (41 participants).The experimental group received mind mapping instruction whereas the controlled group received traditional instruction.The impact of the mind mapping strategy was measured using a pre-test and a post-test.The results of the study revealed that there was a significant difference in the mean scores between the pretest and the post-test results in the experimental group.However, there was no significant difference in the mean scores of the post-test between the experimental and controlled groups which implies that both mind mapping and traditional vocabulary teaching techniques had similar effects on language learning.