Reviewerly/exHarmony huggingface dataset:
Forming extended linguistic competence among students of economic specialties at Moscow aviation institute

The article analyses various interpretations of the concept "linguistic competence" and formulates the authors' attitude to this issue. The paper substantiates the need for forming the extended linguistic competence among the students of economic profile at an aviation university. The authors describe the history of creation and development of the concept of teaching two foreign languages in the specialty "Organization and planning of foreign economic activity" (2008), "Organization of foreign economic activity / international business" (2009), "International management" (2012) at Moscow Aviation Institute, share their practical experience in teaching students in this area. The advantages and disadvantages of the educational-methodical complexes used both for teaching English and the second foreign language – French are revealed. The ways of improving the methodology of teaching students in this specialty are outlined in order to fulfill the main task – to train highly qualified specialists in the economic field, who will be in demand in the aviation industry in conditions of severe competition.
Low Complexity Gray-scale Image Compression Method Using Index-Based Approach

Images consume more space when stored and use a lot of bandwidth during transmission. Hence, an image compression reduces storage space required, and time to transmit an image by making effective usage of bandwidth. In this paper, a simple image compression method using an index-based approach is proposed. This approach makes use of simple indices of an array to compress images. The context of nearby fifteen pixels is used, and the index for the current pixel is found. The indices are found for every pixel of an image. These indices are transformed and written into a transformed file. This transformed file is further compressed with Huffman compression to achieve a compressed file. Decompression uses a simple methodology to reconstruct the image. The pixel value is reconstructed using the index, and from previously reconstructed pixels of the image. The proposed algorithm provides high fidelity images at lower Peak Signal to Noise Ratio (PSNR). The results obtained from the proposed algorithm are compared with JPEG algorithm. At the same PSNR values, the quality of the reconstructed images by the proposed algorithm is comparable to that of the JPEG algorithm.
Efficient Object Localization Scheme Based on Vanishing Line in Road Image for Autonomous Vehicles

This paper proposes an efficient object localization method based on a vanishing line.The proposed method can be much improved in time efficiency since it requires scanning only vanishing line area.It requires the time complexity of O(n) while the existing sliding window method requires the time complexity O(n 2 ) for detecting all objects in the entire image.In addition, the range of detection area can be also remarkably reduced when compared with the sliding window method.As a result, the total range and times for searching in the proposed method can be significantly reduced by considering together the distance and position of the object.The experiment on the proposed method is performed with the virtual road data set known as SYNTHIA, and the competitive results are obtained.
Exploring Students’ Problem In Comprehending English Reading Text In Period of Covid-19 Pandemic (A Qualitative Research at Arabic Education Department (PBA) The State Islamic Univeristy Sultan Maulana Hasanuddin Banten)

Badriyah. 161230030. Exploring Students’ Problem In Comprehending English Reading Text In Period of Covid-19 Pandemic (A Qualitative Research at Arabic Education Department (PBA) The State Islamic Univeristy Sultan Maulana Hasanuddin Banten), 2019/2020.The aims of this research were to find out the students’ problem in learning reading and the students cause of problem in learning reading in period of Covid-19 pandemic. Beside the students’ effort to solve their reading problem. This research used qualitative research and use survey method. The researcher used quota samling technique to determine the sample. The instrument used in this research was questionnaire. This research took 75 students as respondents at Arabic Education Department (PBA) The State Islamic Unviersity Sultan Maulana Hasanuddin Banten on second semester in Academic year 2019/2020. The researcher used three categories to analysis data: there are data reduction, data display and drawing and veryfing conclusion. The result of this research, the researcher found that the students problem, the students cause of problem in comprehending English reading text and the students effort to solve their reading problem during the Covid-19 as follow: (1) The students problem in learning reading in period of Covid-19 pandemic are students do not understand what the teacher explains; it’s hard to find the main idea in a paragraph, lack vocabulary, lack of more detail information from a text and the students it’s hard to make a summary or making inference. (2) The cause of the problem in comprehending English reading text in period of Covid-19 pandemic are learner’s background and students environment. It means students are lazyto read, bored when English reading textbook and students have difficult pronouncing every words. The environment also becomes the cause of students problem in learning reading such as students feel unfocused when studying at home and students difficult to ask lecturers, less interaction between teacher and students. (3) The students effort to solve in their reading problem during Covid-19 pandemic are students ask to friends via WhatsApp or phone, Google translate and look up the meaning in the dictionary.
A methodology for region differentiation by change in the number of university faculty members

Subject. The article considers differentiation of regions, based on trends in the development of higher education. Objectives. The aim is to elaborate methodological approaches to the study of regional differentiation, based on the analysis of the number of university lecturers. Methods. The study employs methods of theoretical generalization, statistical analysis, and structural grouping. Results. I describe modern approaches to identifying the role of teaching staff in creating competitive advantages of universities and regions. I also unveil that the trend towards reduction of teaching staff of universities exists in all federal districts; it is most pronounced in the Ural, Far Eastern and North Caucasian Federal Districts. From 2010 to 2019, significant inequalities between regions were recorded in terms of relative changes in the number of university lecturers. The paper offers a differentiation of the subjects of the Central and Siberian Federal Districts, based on various grounds, including the dynamics of the number of teachers at different timescales Conclusions. To monitor the higher education system development from a regional perspective, it is advisable to use the analysis of relative changes in the number of faculty staff of universities located in the subject of the Russian Federation, followed by the selection of groups of regions that are similar in the given parameters. Revealing the inequality between regions can be used to justify the development of compensatory measures. The materials of the study can be applied in the process of further research on scientific and practical problems of regional divergence.
A Study on The Influnene of Consulting Paticipation of The Consulted Firm on Consulting Repurchase Intention

This study suggests that even if the consulting is started by the consulting of the company, it is difficult for the consulting firm to operate the consulting firm Consulting performance differs depending on the degree of understanding of consulting. Although consulting firms have been studying various prior research papers in view of the fact that there are many cases where they proceed with the sales strategy of repurchasing in mind, most of them deal with research on consulting performance on the supplier side, The purpose of this study is to investigate whether a company has a high level of participation in consulting in the event of a situation or situation and consequently influences the intention to purchase consulting. In order to find out whether they are visible, the reliability of the measured values ​​and the fit of the measurement model by CFA were obtained through the exploratory factor analysis. The results were as follows: The results of this study are as follows. As a result of the study, it is necessary for the consultant to improve the participation of the consulting company and the understanding of the consulting in order to increase the intention of the consulting repurchase intention. Since the consultant shows the result in an empirical way, the consulting company participates in the role and process The results of this study are as follows. First, it is suggested that firms should be very careful about the participation and consulting understanding because they affect the repurchase intention of consulting firms.
코로나 19 상황의 대학 원격교육 한계 및 포스트 코로나 시대를 대비한 개선 방안 연구 - 성인친화형 대학으로의 체질 개선 관점에서 -

The outbreak of COVID-19 has been a major crisis factor in the various aspects of education, but it can be evaluated as meaningful in that it achieved changes in the educational operating system that had not been achieved before in a short period of time. In order for meaningful changes to be made from the perspective of innovation in the fields where distance education is being conducted at universities responding to COVID-19, it is necessary to check whether efforts for the changes are to be friendly to adult learners based on andragogy. For this, this study has examined the current status of online education at universities after COVID-19, focusing on the related studies, and derived issues for the improvement of universities’ constitutions as adult learner-friendly ones. Based on this, in preparation for the post-COVID-19, the following six measures were suggested for the revitalization of distance education to improve universities’ constitution as adult learner-friendly ones. First, insufficient quality of lectures and the need to strengthen professors’ capabilities such as teaching methods; second, reinforcement of interactions between instructors and learners and between learners; third, the need to increase learners’ ability for self-directed learning; fourth, preparation of the systematic learning design, evaluation, effective feedback and management measure; fifth, expanding the use of two-way platforms and advancement of functions; sixth, the flexibility of academic operation for activation of distance education. In particular, the sixth item, the expansion of andragogy-based academic operation flexibility, is expected that the activation of distance education will create a context and environment that can result in the improvement of universities’ constitution as adult learner-friendly ones from the perspective of university innovation.
Analisi Data Transaksi Penjualan Menggunakan Algoritma Apriori Untuk Menentukan Paket Promosi Refarasi Mobil

Rizal Motor Workshop is a business in the field of services and sales of auto parts. More and more workshops are growing rapidly at this time, making Rizal Motor Workshop making a better marketing strategy than other workshops. With a promotional package it will attract the attention of consumers who were previously not interested in shopping to become very interested because of the available promotional packages. To determine the promotional package at the Rizal Motor Workshop to be more efficient and on target, the author uses one way to look at the items most frequently purchased by consumers. The purpose of this study is to analyze sales transaction data to be used as a promotional package based on the buying patterns of consumers. The method used in this study uses the Knowledge Discovery in Database (KDD) method which consists of stages of data selection, data cleaning, data transformation, data mining, and evaluation. The algorithm in this study uses the Apriori Algorithm which looks at the itemset formed, in this study using 4 itemsets with a minimum support of 60% and a minimum confidence of 90%. For the results obtained are associations between products or connectedness of goods, in this study the confidence value obtained was 98.182% which is the best confidence value contained in the 3 itemse.
Diagnosing Epidermal basal Squamous Cell Carcinoma in High-resolution, and Poorly Labeled Histopathological Imaging

The most appropriate method to uncover patterns from clinical records for each patient record is to create a bag with a variety of examples in the form of symptoms. The goal of medical diagnosis is to find useful ones first and then map them to one or more diseases. Patients are often represented as vectors in some aspect. Pathologists and dermatopathologists diagnose basal cell carcinomas (BCC), one of the most frequent cutaneous cancers in humans, on a regular basis. Improving histological diagnosis by producing diagnosis ideas, i.e. computer-assisted diagnoses, is a hotly debated research topic aimed at improving safety, quality, and efficiency. Due to their improved performance, machine learning approaches are rapidly being used. Typical images obtained by scanning histological sections, on the other hand, frequently have a resolution insufficient for today's state-of-the-art neural networks. Furthermore, weak labels hamper network training because just a small portion of the image signals the disease class, while the majority of the image is strikingly comparable to the non-disease class. The goal of this work is to see if attention-based deep learning models can detect basal cell carcinomas in histological sections and overcome the ultra-high resolution and poor labeling of full slide images. With an AUC of 0.99, we show that attention-based models can achieve nearly flawless classification performance.
Processing Phoneme Specific Segments for Cleft Lip and Palate Speech Enhancement

The cleft lip and palate (CLP) speech intelligibility is distorted due to the deformation in their articulatory system. For addressing the same, a few previous works perform phoneme specific modification in CLP speech. In CLP speech, both the articulation error and the nasalization distorts the intelligibility of a word. Consequently, modification of a specific phoneme may not always yield in enhanced entire word-level intelligibility. For such cases, it is important to identify and isolate the phoneme specific error based on the knowledge of acoustic events. Accordingly, the phoneme specific error modification algorithms can be exploited for transforming the specified errors and enhance the word-level intelligibility. Motivated by that, in this work, we combine some of salient phoneme specific enhancement approaches and demonstrate their effectiveness in improving the word-level intelligibility of CLP speech. The enhanced speech samples are evaluated using subjective and objective evaluation metrics.
Analytical Evaluation of Heavy Metals Obtained from Clay Samples in Ute, Nigeria

Clay are abundant, common, inexpensive as well as, they have numerous industrial applications.The presence of these metals in an ecosystem above certain concentration limits constitutes contamination. In this study, the concentration of heavy metals in clay samples was investigated so as to know the level of environmental contribution in order to ascertain the level of contamination. The clay samples were collected from five different locations in Ute Township, a town in Ose local government area of Ondo North Senatorial district of Ondo State, Nigeria. Parts of the sample’s location include places where there are human activities.The result of the study shows that there were no significant differences between the heavy metals’ concentrations and their respective MPL. The research on the five sites investigated (Abekun, Ogwa, Okiti-ota, and Ogudu) have low to normal heavy metal concentrations, which are within the MPL allowable in soil. The abundance of these metals were in the order Pb> As > Zn>Cd>Mn>Se> Cr. Therefore As, Pb, Cd, Hg, Se and Cr are not pollutants in the clay samples. Hence, the clays samples obtained from Ute Town in Ose local government area of Ondo state may be said to be uncontaminated due to negligible concentration of heavy metals ascertained by this research. The clay samples are safe for utilization in both domestication and industrialization.
The Influence of R&D Person’s Passion Type on Innovation Behavior: The Mediating Effects of Positive and Negative Moods

For RD (2) to explore the positive and negative mood in the passion type and innovation between the mediating effect. In this study, the data were collected from RD (2) there is a positive relationship between obsessive passion and innovation behavior; (3) positive mood for the harmonious passion of the innovative behavior of the mediating variables; (4) negative mood is not obsessive passion for innovative behavior of the mediating variables. According to the results of the study, this study proposes the following management implications: (1) to put the passion of the work into the recruiting Research and Development (RD (2) to promote RD (3) to promote and maintain the positive mood of R&D personnel to facilitate innovative behavior.
Improving Low Illumination image based on Multi-Scale Retinex via Bilinear Interpolation

Images taken at night in low-light situations are more likely to have poor visibility, which can affect future processing for outdoor computer vision applications. As a result, we recommend a retinex upgrade for nighttime image enhancement. Retinex is one of the most widely used techniques. It's used on photographs with non-uniform brightness in terms of colour or lightness, and it gets the job done in terms of colour consistency and dynamic range compression. Few studies have looked into retinex's performance on night-time photos, especially those taken in challenging conditions (i.e., images with over- or under-lit areas, or images with noisy speckles), where the technique can fall short. The original multi-scale retinex via Bilinear Interpolation (MSRBI) is particularly sensitive to camera noise speckles in low light, and it has a poor effect on areas with ordinary or irradiated light. In low-light circumstances, the original MSR is particularly sensitive to noise speckles produced by cameras, and it performs poorly in areas with normal or bright lighting. In addition, the original MSR used a gain-offset technique for pre-display processing, which could result in visible data loss on night-time images. This study replaces MSR's logarithm function with a customised sigmoid function to prevent data loss, and adapts MSRBI to night-time photography by combining sigmoid-MSR findings with original images.
E-LEARNING DURING COVID 19 PERIOD: FLIPPING THE CLASSROOM AND GAMIFICATION AS LEARNING METHODS FOR MATHEMATICAL UNDERSTANDING IN ARCHITECTURE

Coronavirus change the world included teaching approaches. With schools closed, technology has become a powerful tool for educational purposes; the potential of elearning affects education significantly as it provides improved informational content and interactive apps to apply theoretical knowledge. Teaching methods should be considered for each subject to ensure students get significant experience. This paper summarizes findings from an empirical study involving a new integrated e-learning method for the architecture structural design course using flipping the classroom and gamification as learning methods. The e-learning solutions used were short videos containing each subject's essential theory and interactive software programmed as smartphone applications containing the course subjects. A web site with the class videos embedded and examples for solving the application's games ensures students get the same information and practice the same exercises. A comparison between classes on-site and online classes is presented to assess this new method's effects. Results were promising; students like to learn about the class subjects at their own pace; they enjoyed practicing mathematical and physics theory feeling inside a video game mood. Students gained motivation, engagement, and good grades during this online learning period; no final exam was needed as they presented a final project using the structural concepts learned. Keywords: educational innovation, flipped classroom, e-learning, gamification
Application of the Inquiry-based Approach for the Development of Scientific Literacy in the Study of Chemical Processes in Chemistry and Environmental Protection in the 10th Grade

For the future life of young people their scientific education will allow them to live and act adequately in a society influenced by the ideas and values of science. Therefore, in the center of many educational systems an emphasis is placed on forming and developing scientific literacy in students. Inquiry-based approach in education is one of the important means for its formation and development as it puts the students in a situation where they carry out research activity, describe and analyze its results. In this article is presented an attempt to use inquiry-based approach in the study of chemical processes in Chemistry and environmental protection in the 10th. class. For its implementation a methodical model for application of scientific approach based on constructivist theories in education is developed. The results of a conducted experimental training for the determination of the expediency of the model are presented. A test is developed for establishing the training of students with an emphasis on scientific literacy. Testing results show that the developed methodical model creates good conditions for the development of scientific literacy.
Quantum walks driven by quantum coins with two multiple eigenvalues

We consider a spectral analysis on the quantum walks on graph $G=(V,E)$ with the local coin operators $\{C_u\}_{u\in V}$ and the flip flop shift. The quantum coin operators have commonly two distinct eigenvalues $\kappa,\kappa'$ and $p=\dim(\ker(\kappa-C_u))$ for any $u\in V$ with $1\leq p\leq \delta(G)$, where $\delta(G)$ is the minimum degrees of $G$. We show that this quantum walk can be decomposed into a cellular automaton on $\ell^2(V;\mathbb{C}^p)$ whose time evolution is described by a self adjoint operator $T$ and its remainder. We obtain how the eigenvalues and its eigenspace of $T$ are lifted up to as those of the original quantum walk. As an application, we express the eigenpolynomial of the Grover walk on $\mathbb{Z}^d$ with the moving shift in the Fourier space.
Perancangan Modul Interaktif pada Mata PelajaranSimulasi dan Komunikasi Digital Siswa SMK Kelas X

This study aims to create an interactive module that meets the requirements Valid, Practical and effective for simulation and digital communication subjects. This research is a Research and Development research conducted at SMK. The test subjects in this study were students of class X SMK Negeri 1 Padang. The results of the assessment of the three validators as a whole were 82.72% so that the validity level could be interpreted as valid. The overall assessment of practicality is 90.51%, so that the level of practicality can be interpreted to be very practical to use, as well as an assessment of the effectiveness of 89.67%, so that thelevel of effectiveness can be interpreted well