Reviewerly/exHarmony huggingface dataset:
Obstacles in Learning English at Government Girls Higher Secondary Schools: A Case Study of Tehsil Faisalabad City

English is taught as a compulsory subject from primary to graduation level in Pakistan. Even then, the failure rate of students in English subject is alarming, and communication skills in English are poor. This study was conducted to analyze the obstacles faced by students in learning English language, and to suggest possible solutions to overcome these obstacles. This study was conducted in girls higher secondary schools of Tehsil Faisalabad City. There were total 36 girls higher secondary schools in District Faisalabad. Nine girls higher secondary schools are in Tehsil Faisalabad City. From these nine schools, three girls' higher secondary schools were selected through simple random sampling. There were 17 English teachers who were teaching in these schools, then all the 17 teachers and 958 students were taken as population. All 17 English Subject teachers were the respondents, whereas the sample size for students was calculated 274 through online software with a confidence level 95% and confidence interval 5%. A proportionate sampling technique was used to select the respondents from students. For collecting data, a well-structured questionnaire was developed. The collected data were analyzed by using descriptive statistics i-e percentages, means and standard deviation through computer software SPSS (Statistical Package for Social Sciences) for interpretation and discussion of results. The results revealed that students are facing many problems in learning of English language (EL). It is suggested that the students should be provided EL learning facilities in schools as well as at houses.
Combined methods for identifying incomplete duplicates in scientific publications

Recognition of incomplete duplicates of images and tables is considered. In order to recognize graphical data (for image classification and compression), wavelet analysis is used with a set of classic characteristic functions: Morlet and Haar wavelets, Mexican hat wavelet, etc. Special types of filters are also used, which are based on the so-called ridgelet, curvlet and beamlet transformations. The main classical methods of image collection clustering that can be used to find incomplete duplicates in the graphic data of electronic documents are considered. The Harris method is analyzed, which allows to determine the reference points of the images by measuring the intensity of the brightness of the image. SIFT (scale-invariant feature transformation) technology, which is a powerful tool for forming a system of invariant structural features, is also analyzed, another class of methods is considered, which are easy to implement and use to detect incomplete duplicate images – hash methods. It is described that there are three such signals for RGB images: brightness in Red, Green and Blue channels. In signal processing and related branches of Fourier transform, decomposition of the signal into frequencies and amplitudes is usually considered. A method for identifying context-sensitive values and indexing textual data is considered, which helps to find incomplete duplicates in tables based on textual and numerical representation of data. Similarly, the described method can be used to index data of numerical and text types, if they are not placed in a table, but inside the content of an electronic document. The results of the research are used in combination with the system of detection of incomplete duplicates in scientific documents, in particular dissertations for the degree.
Diagnostics of personal results of children with disabilities studying remotely

The purpose of the study is to determine the personal results of students with disabilities and to identify the necessary conditions for effective work with this category of children in distance learning. The analysis of the results revealed the need for the use of subject-oriented technology in the educational process, which contributes to the formation of the subjective position of students, allowing for the individualization of the educational process, maximally compensating for developmental deficits caused by diseases. As a result, the necessity of organizing purposeful career guidance work with disabled children and educational work with parents was revealed.
Scientific and methodological support of physical education in the framework of FSES-3++

This research is devoted to the study of scientific and methodological aspects of providing students with physical education. The research is based on the works of Russian teachers who have adopted the experience of the new higher education program for bachelor's degree. The starting point for the development of new concepts is the latest edition of the Federal State Educational Standard for Higher Education. The purpose of the study is to analysis of the scientific and methodological support of physical education of students under the Federal State Educational Standard program. In the course of the research, we study the most important aspects of the formation of physical skills with the help of basic and additional types of interaction between a teacher and students. Scientific novelty lies new look at complex education, which includes an expanded set of methods, technologies for the development of cognitive interest, activity, physical skills and motivation for active recreation, a healthy lifestyle. The design technology of 2021, based on the method of new generation projects by Evgenia Semyonovna Polat, is a separate factor. The result of the study was the definition of the scientific and methodological aspects of providing physical education in the main and additional types of interaction between the teacher and students, including physical culture, sports, elite sports, competitive tests, project technology and distance learning format.
The Role of Knowledge Management Maturity in Improving Organizational Performance An exploratory study on a sample of administrative leaderships at the University of Babylon

The purpose of the current research is to identify the role of maturity in knowledge management represented by (individuals, processes, and technological skills) in the institutional performance of (employee satisfaction, productivity improvement, and growth), and accordingly a sample of the (58) senior leaderships of the University of Babylon were selected. A leader in order to identify the level of availability of knowledge management maturity, and attention to institutional performance, which means the necessity of demonstrating the tools that are used in order to demonstrate the results of the study, and accordingly, the most famous statistical tools that were used for this purpose were (the structural modeling equation, The Cronbach alpha coefficient, the normal distribution represented by the tests "Kolmogorov-Smirnov, Shapiro-Wilk", the arithmetic mean, the standard deviation, the Pearson correlation coefficient, and the regression coefficients that were extracted by means of the program "AMOS.V.24". Based on the results of the study, the study has concluded It was found that there is a correlation and moral influence between the maturity of knowledge management and the institutional performance of the university, which requires the research sample to work on investing its knowledge potentials in order to develop and improve its institutional performance.&#x0D;
Fingerprint Feature Extraction Method of Specific Emitter Based on Correlation of IQ Signal

The I/Q imbalance of modulator model leads to individual differences in gain and phase mismatch. In this paper, a new method of specific emitter identification is proposed based on these differences. In the method, I/Q signals is decomposed by I/Q demodulation and frequency domain filtering, and the ratios of the autocorrelation function of I/Q signals at 0 value are obtained. According to the ratios, two feature parameters related only to gain mismatch and phase mismatch parameters are constructed. Two dimensional images are generated by using the parameters as the horizontal and vertical coordinates respectively, and the images are used as the basis of specific emitter identification. Researches show that this method can effectively inhibit the influence of white gaussian noise(WGN). In the simulation experiments under different signal to noise ratio(SNR), the identification accuracy of new method is increased by more than 5% and 10% respectively compared with the specific emitter identification methods based on bispectrum and Hilbert-Huang transform. The new method shows better ability in specific emitter identification under low SNR conditions.
The Assessment on Reading Comprehension at SMAN 22 Makassar

Assessment in reading comprehension is very important for students to know their ability. Using the right assessment can affect the development of the students reading comprehension. This research aims at finding out the type of assessment that teachers use, why teachers prefer to use the current assessment, and the teacher preparation, implementation, and score the students reading comprehension. The data were taken through interviews and observation. The subject of the research was the teacher of SMAN 22 Makassar. The result of this research: The type of assessment used by teachers at SMAN 22 in assessing reading comprehension is formative assessment. In the assessment aspect of reading comprehension, not all aspects are taken by the teacher in assessing students' reading comprehension, only a few aspects, namely main idea, supporting detail and vocabulary, and likewise, the components in reading comprehension, only a few are taken by the teacher, namely vocabulary, fluency, and comprehension. In using the assessment to assess the students' reading comprehension, the teacher also adjusts to the KD given to the teacher. With this KD the teacher will adjust what assessment should be used and also in each test the teacher gives students so that they know the progress of their reading comprehension will be adjusted to the abilities of the students. The teacher always prepares whatever is needed in teaching reading comprehension. In each lesson, the teacher implements the teaching from the lesson plan and give score to the students based on the result of the answers in the given task format.
LITERATURE REVIEW ON CROWD COUNTING AND CROWD DENSITY MAPPING METHODOLOGIES

Purpose of Review: Artificial Intelligence and Machine Learning technologies have enabled the analysis of the crowd which helps monitor and manage the crowd effectively. With further advancements in the field of AI and ML, the quality and the accuracy of the analysis have improved considerably. This review attempts to provide an overview of the currently available technologies enabling crowd analysis operations like crowd counting, crowd density mapping and weigh the benefits and drawbacks of the available methods also take into consideration the situation they are suitable for. Recent Finding: We have reviewed 10 articles related to crowd counting and crowd density mapping that used Multi-Column CNN, Deep Convolutional Neural Networks, Real-Time Deep network, Switching CNN, andEncoder-Decoder Based CNN with Multi-ScaleAware Modules to estimate the crowd density and count for the given crowd scene image. In summary, these studies showed a high level of accuracy and provided excellent examples of the potential of AI in crowd counting. The methodologies and algorithms adopted to handle the problem of crowd counting and density mapping varied considerably from paper to paper. Few Built upon the findings of older methodologies by adding enhancement layers and others approached the problem with a new perspective. The methodologies we studied, had their advantages and disadvantages and were suitable for certain situations. Summary: With advancements in Computer Vision and Artificial neural network techniques like Convolution Neural Networks, crowd counting, and density mapping which traditionally were considered a difficult task and take up time to train the models has become easier to implement and time for training the models are also reduced considerably reduced. In this paper, we have surveyed journals and articles from a variety of sources via google scholar published from 2015 to 2021 related to crowd counting and crowd density mapping. We have reviewed the methodologies introduced in this paper along with their advantages and disadvantages.
A Highly Efficient Profiled Power Analysis Attack Based on Power Leakage Fitting

Power Analysis Attack (PAA) is one of the most effective Side Channel Attack (SCA) methods with good effect. A highly efficient profiled power analysis attack method named PLF is proposed in this paper. Nine average power traces are calculated according to the Hamming Weight (HW), and the Points of Interest (POIs) are extracted. Then the template is established by linear fitting. The information hidden in the attack traces is mapped to the points in the two-dimensional coordinate system, then the correct key is cracked by calculating the distance between the points and the line. The numerical problems caused by the irreversible covariance matrix and exponential operation of Template Attack (TA) are avoided in the PLF. The PLF is verified by attacking the Advanced Encryption Standard (AES) on the Atmel XMEGA128-D4 microcontroller. The experimental results show that the computational complexity is reduced in PLF compared to TA and Correlation Power Analysis (CPA), and the slope of PLA is 95.5&#x0025; and 55.1&#x0025; lower than TA and CPA respectively. Besides, the PLF requires fewer power traces to effectively crack the correct key, and it has a lower Partial Guessing Entropy (PGE). Moreover, the distinguishing level of PLF is 51&#x0025; and 30&#x0025; higher than TA and CPA respectively. Meanwhile, PLF only needs 17 attack traces to achieve 80&#x0025; Partial Success Rate (PSR), which is 57.5&#x0025; and 77.9&#x0025; lower than CPA and TA in the number of attack traces, respectively.
Improved ORB Mismatch Elimination Based On Gradient Cosine

In this paper, the Oriented Fast and Rotated Brief (ORB) feature matching algorithm in traditional visual simultaneous localization and mapping has shortcomings such as mismatch, low matching accuracy, and many mismatches. Using the gradient cosine similarity theorem to improve the ORB feature matching algorithm Gradient Cosine ORB (GC_ORB) is proposed. To obtain more image information, first, extract the brief descriptor of the gradient, and then perform rough matching of feature points according to the traditional ORB Hamming distance. Finally, to eliminate mismatches and improve the matching accuracy, the gradient cosine similarity theorem is used to eliminate mismatches. Set different Hamming distance thresholds to compare with the traditional ORB algorithm. The experimental results showed that when the thresholds are 60, 55, 50, 45, compared with the traditional ORB algorithm, the GC_ORB proposed in this paper improves the accuracy of the mismatch elimination rate. 15.63&#x0025;, 10.25&#x0025;, 6.84&#x0025;, 3.2&#x0025;. It can effectively eliminate mismatches and improve matching accuracy.
Relationship between information pills, learning and teaching

The objectives of this research were to know the teaching styles, the learning styles of the participants, and how they influence the transmission of knowledge through the use of information pills. A cross-sectional ethnographic design was used in the study. Fourteen groups of students of the primary education teaching degree from the University of Zaragoza participated in the second semester of the 2019 academic year. The instruments used are the questionnaires of learning styles, pedagogical beliefs, and evaluation of the information pill. The results obtained indicate a relationship between pedagogical beliefs, the learning style, and the way of transmitting information, with instruction in these aspects being necessary for both future teachers and those who are active teachers who take into account the skills and abilities of the student can cause significant changes in their learning.
Teaching creative thinking. A systematic look

The objective was to systematize evidence of the development of creative thinking and its potentialities with a view from the educational field, highlighting the aspects of creativity in teachers. A systematic review of articles from the Proquest, Scopus, and Eric databases was carried out. Relevant information was selected. To obtain results, the information was systematized, considering the thematic axes as aspects of creativity, characteristics, and strategies for teaching creative thinking. It is concluded that creative teaching thinking is of great importance because it favors innovation. In addition, it is an essential aspect in today's world, so it must be permanently strengthened and thus contribute to its development.
Creative thinking strategies in primary education classrooms

The development of creative thinking must be considered as a necessity in pedagogical practice in every educational system. The objective of this article was to present some concepts and strategies that are being developed in the classrooms. The methodology used was the experimental documentary technique. In addition, a search was done for articles of a scientific nature, published in various reliable databases. Concluding that, creative thinking is a capacity that the person must possess in the 21st century. Therefore, every student must develop it to produce innovative ideas that allow them to solve problematic situations.
Scope, Structure, Aspects of Antigypsyist Hate Speech Online

This article aims to provide the relevant parameters of the phenomena of antigypsyism, online hate speech, and their connection. The parameters serve as background for finding out about the trends in online hate speech directed at the Roma community, the most important concepts and tropes regarding antigypsyism, and the relevant trends in antigypsyist online hate speech. The article will focus on the European Union context because it provides a comparative political and legal framework and possibilities of joint activities and policies to tackle Roma discrimination. By combining scholarly resources and governmental reports, monitoring and reporting collected through nongovernmental organizations, it is concluded that the phenomenon of online antigypsyism is getting stronger. It mirrors offline hate speech and is relatively poorly monitored. It is spread via all mainstream social media platforms whose record on its removal tends to oscillate. A brief section is dedicated to intersectional aspects of antigypsyist hate speech whose iterations in the digital space are under-researched.
Mobile E-Learning Mata Pelajaran Natural Sciences (IPA) Berbasis User Centered Design

In this study, designing a system based on mobile e-learning which is a necessity for formal educational institutions in the era of globalization which is increasingly inevitable. Systematically implement a program of guidance, teaching, based on observations and interviews with one of the science subject teachers at MTs Al-Khairaat Kwandang that the learning process, especially about the excretory system, is still explanatory without any teaching aids where students can see the organs included in the excretory system. . The purpose of this study is to create a mobile e-learning system about science subjects for class VIII 3 at MTs Al-Khairaat Kwandang that is easy to use by students and teachers. The method used is the UCD method. This application is designed using PHP and HTML programming language software, namely Sublime, Java Programming Language Using Android Studio, and modeling tools using UML (Unified Modeling Language). The results of this system research use whitebox and blackbox where with this test the correct graph flow is obtained as a sample, the researchers conduct tests on the flowchart in the evaluation. The conclusion obtained: Region (R) = 4 Independent Paths (Independent path) = 4 Cyclometic Complexity (CC) = 4 provided that this research can be implemented
CONSPIRACY VS PREDICTION OF DEAN KNOOTZ AGAINST COVID-19: PLOT ANALYSIS AND LITERARY SOCIOLOGY IN THE NOVEL "THE EYES OF DARKNESS"

This research was conducted with the aim of finding out how the plot analysis and literary sociology of the novel titled "The Eyes of Darkness" proves the truth of the conspiracy against the emergence of artificial viruses and predictions made by author Dean Koontz on the pandemic situation of the coronavirus outbreak-19 today as depicted in the novel. This research uses descriptive qualitative methods with structural approaches so that it is drawn a thorough and structured analysis. The primary data taken comes from the novel while the secondary data is obtained from a literature study conducted as a reference material to compare the existence of the two viruses, namely the Wuhan-400 virus depicted in the novel and the Corona-19 virus that occurred in the current situation. From the results of the discussion came the conclusion that there are some similarities of the symptoms caused by these two viruses although there are differences in the rate of death caused. In addition, the social situation of the people depicted in the novel also has similarities with the situation when the Covid-19 pandemic broke out. This is seen from the comparison of the economic side of society and the political turmoil that occurs.
Design process and rapid prototyping of animated music visualizations

The production of animations for Musical Information Visualization is still scarce and has challenges in the way of visually communicating information. Due to the need for domains of editing software, demanding technical skills and specific knowledge related to each area: animation, music, design and computing. In this article, we present a systematic review of the animated visualization area and, based on its conception processes, we elaborate an experimental model for the creation, prototyping and construction of musical animations. And through sessions developing quick prototypes, where we obtained qualitative results with feedback collection. We conclude that the importance of animation is exceptional, as an ally in the process of designing and creating a musical visualization, as it facilitates the representation of time to communicate structural elements of music, as they are dynamically arranged in a graphic area.
Research on the Teaching Evaluation System of College Professional Courses Based on Fuzzy Comprehensive Evaluation Analysis

The general education curriculum in the United States has gradually matured under long-term adjustment and improvement. The general education in domestic colleges and universities started late and is still in the process of continuous improvement and development. At present, domestic colleges and universities music colleges are still in the stage of continuous exploration for the part of general education, and a mature theoretical system has not yet formed on general education. This paper compares the piano curriculum of American colleges and universities with the piano curriculum of domestic colleges, establishes a model of college piano curriculum, constructs a comparative analysis framework of piano curriculum in Chinese and American colleges, and deeply explores the differences in the piano curriculum of Chinese and American colleges. Piano courses provide more basis for educational practice.