Reviewerly/exHarmony huggingface dataset:
IIITG-ADBU@HASOC-Dravidian-CodeMix-FIRE2020: Offensive Content Detection in Code-Mixed Dravidian Text.

This paper presents the results obtained by our SVM and XLM-RoBERTa based classifiers in the shared task Dravidian-CodeMix-HASOC 2020. The SVM classifier trained using TF-IDF features of character and word n-grams performed the best on the code-mixed Malayalam text. It obtained a weighted F1 score of 0.95 (1st Rank) and 0.76 (3rd Rank) on the YouTube and Twitter dataset respectively. The XLM-RoBERTa based classifier performed the best on the code-mixed Tamil text. It obtained a weighted F1 score of 0.87 (3rd Rank) on the code-mixed Tamil Twitter dataset.
Ovarian cancer classification using K-Nearest Neighbor and Support Vector Machine

Abstract Ovarian cancer is one of the common malignancies in women and a known cause of death. This condition occurs when a tumor appears from the growth of abnormal cells in the ovary. It causes about 140.000 deaths out of 225.000 cases annually. Most women with ovarian cancer do not have distinctive signs and symptoms even at the late stage. Therefore, diagnosis at an early stage is necessary because it has a significant impact on the survival rate. Machine learning with various methods can be used in the medical field to classify diseases. Among the many methods, K-Nearest Neighbor (KNN) and Support Vector Machine (SVM) were used and analyzed in this study to classify ovarian cancer. The data used were from Al Islam Bandung Hospital consisting of 203 instances with 130 labeled ovarian cancer and 73 as non-ovarian. The results showed that the KNN produced higher results than SVM with 90.47% of accuracy and 94.11% of F1-score, while SVM produced accuracy and F1-score values of 90.47% and 92.30% respectively.
Dermoscopy Image Segmentation in Melanoma Skin Cancer using Otsu Thresholding Method

Melanoma is a skin cancer that originates from melanocytes, melanin-producing cells in the skin. It requires quite a long time to detect melanoma through a biopsy. By utilizing technology, the time required to obtain biopsy results in detection of melanoma can be shortened using image pattern recognition. Segmentation is a stage that affects the results in image analysis for pattern recognition in digital images because of the accuracy of a confident segment in an image analysis. Otsu thresholding is a segmentation method aims to find the threshold point that divides the grayscale image of histogram into two different areas automatically. In this study, segmentation was carried out on 15 dermoscopy of melanoma images that were subjected to grayscaling, histogram, segmentation with Otsu Thresholding, binarization, image negation, and testing. The test carried out using the Receiver Operating Character (ROC) method exhibited a mean sensitivity level of 70.3%, a mean specificity level of 95.53%, and a mean accuracy of 94.82%.
ALTA SOLUTION FROM KNEWTON AS A TOOL OF SUPPORT FOR ADAPTIVE LEARNING IN MATHEMATICS

The article analyzes the advantages and disadvantages of the adaptive learning platform Knewton. Recommendations for the development and use of an adaptive course based on Knewton (for example, a program for studying mathematics Alta) are given: creating a profile (account), choosing readymade tasks, designing your own course in Alta, monitoring the students’ activity.
A Heuristic Method to solve large-scale Integer Linear Programs by combining Branch-and-Price with a Quantum Algorithm

We present a method that integrates any quantum algorithm capable of finding solutions to integer linear programs into the Branch-and-Price algorithm, which is regularly used to solve large-scale integer linear programs with a specific structure. The role of the quantum algorithm is to find integer solutions to subproblems appearing in Branch-and-Price. Obtaining optimal or near-optimal integer solutions to these subproblems can increase the quality of solutions and reduce the depth and branching factor of the Branch-and-Price algorithm and hence reduce the overall running time. We investigate the viability of the approach by considering the Tail Assignment problem and the Quantum Approximate Optimization Algorithm (QAOA). Here, the master problem is the optimization problem Set Partitioning or its decision version Exact Cover and can be expressed as finding the ground state of an Ising spin glass Hamiltonian. For Exact Cover, our numerical results indicate that the required algorithm depth decreases with the number of feasible solutions for a given success probability of finding a feasible solution. For Set Partitioning, on the other hand, we find that for a given success probability of finding the optimal solution, the required algorithm depth can increase with the number of feasible solutions if the Hamiltonian is balanced poorly, which in the worst case is exponential in the problem size. We therefore address the importance of properly balancing the objective and constraint parts of the Hamiltonian. We empirically find that the approach is viable with QAOA if polynomial algorithm depth can be realized on quantum devices.
Assessment of metallic trace elements contamination in a mining area of the processing of Djebel Onk phosphate ore (Algeria)

Research relevance. Phosphate mining activities are one of the main sources of contamination by heavy metals since they harmfully affect the soil and lead to the degradation of the ecosphere. Research aim. This study aims at characterizing and evaluating the metallic contamination of soils in the vicinity of the Djebel Onk mine in the town of Bir El Ater (Wilaya of Tébessa) in eastern Algeria, and particularly focusing on estimating the spatial variability of this contamination and the extent of the contaminated area. Methodology. The physicochemical characteristic (pH) was determined by pH-meter, whereas AAS was used for the determination of heavy metals (Pb, Cu, Zn, Cd) in the examined soil Research results. The results reveal that soils that are close to the mine site studied and even those that are far away are heavily contaminated with heavy metals — lead (Pb), zinc (Zn), copper (Cu) and cadmium (Cd); the results also point out to a high variability of concentrations not only between sampling sites but also within the same mine site. The analysed soil pollution index is generally high even for soils sampled downstream more than 30 km from the mine site, whereas it is extremely high on the surface of the tailings slopes, underlining the fact that tailings are considered perennial sources of heavy metal contamination in their current state. Conclusion. The unhealthy area affected by metal pollution from mining sites in the Djebel Onk is very large as a result of the dispersion, by wind and water transport, of residual pollutants from the mine wastes abandoned on site. Remediation measures must be put into place to immobilize the pollutants and limit their spread to the environment Keywords: Soil contamination, Algeria, heavy metals, phosphate mine, pollution index.
Leam: An Interactive System for In-situ Visual Text Analysis.

With the increase in scale and availability of digital text generated on the web, enterprises such as online retailers and aggregators often use text analytics to mine and analyze the data to improve their services and products alike. Text data analysis is an iterative, non-linear process with diverse workflows spanning multiple stages, from data cleaning to visualization. Existing text analytics systems usually accommodate a subset of these stages and often fail to address challenges related to data heterogeneity, provenance, workflow reusability and reproducibility, and compatibility with established practices. Based on a set of design considerations we derive from these challenges, we propose Leam, a system that treats the text analysis process as a single continuum by combining advantages of computational notebooks, spreadsheets, and visualization tools. Leam features an interactive user interface for running text analysis workflows, a new data model for managing multiple atomic and composite data types, and an expressive algebra that captures diverse sets of operations representing various stages of text analysis and enables coordination among different components of the system, including data, code, and visualizations. We report our current progress in Leam development while demonstrating its usefulness with usage examples. Finally, we outline a number of enhancements to Leam and identify several research directions for developing an interactive visual text analysis system.
A Snapshot of Educational Research in 2019

2019 is a year witnessing the explosion of many high-tech applications in learning and teaching with integrated multimedia technologies (virtual reality - VR, augmented reality - AR), group and team collaboration technology, class organization, class management, and school ... It is indisputable that the application of new technology generates more interest in the learning and collaboration process. However, we are seemingly fraught with intractable problems within the transformation of a VUCA world (volatility - fragility, uncertainty, uncertainty, complexity - complexity, ambiguity - ambiguity) if we rely solely on technology. Students of today's Z generation (born around 1997 onwards) are not only more proficient with technology from birth, but also have completely different psychological characteristics and needs to be compared to the previous generation. In the 20s of the upcoming XXI century, researchers are ready a name to give birth to the generation that is about to be born? And what do we, as educators, prepare to foster contemporary generations of students? Let's take a look at some of the outstanding educational research in 2019, whether we can name a new challenge or feel the intangible challenges will suddenly come in 2020?
Usability Analysis of Udayana University SIMAK System Interface

With the increasingly high level of exchange of information at this time, the demand for a system capable of managing all of that information is getting higher, where one of these systems is the Udayana University Student Management Information System (SIMAK) which has a vital role in the academic administration of Udayana University, which of course requires an interface that is easy to use so that it can speed up the process of academic administration, where it is one of the things that is often taken into consideration when designing an interface that is easy to use or user-friendly, to find out whether an interface from a user-friendly system can be done by testing the usability aspects of the system. Usability is one of the important aspects that must be fulfilled for a system where to find out whether the Usability aspect of a system is fulfilled, it can be tested using the Usability Testing method with questionnaire media, this study aims to examine the Usability aspects of the SIMAK system at Udayana University using the Usability method Testing with questionnaire media, where the results of this study indicate that the SIMAK system as a whole has met the Usability component with an average value of 3, which means that the SIMAK system of Udayana University already has a good Usability aspect value.
Research on Automation Processing of Human Resource Management System in Energy Enterprises

Abstract In order to improve the work efficiency of human resources in energy enterprises and realize the integration of internal resources, the paper designs a human resources information management system. Combining with the actuality of human resources in energy companies, the paper uses UML modelling tools to analyse system functions; uses MVC mode to design the overall system architecture to reduce the coupling between layers; the paper uses ASP. NET to deploy the development environment; at the same time the paper uses the WEB browser as the client. Finally, through the test, the information management of employees’ attendance, salary, performance and other aspects was realized, which greatly improved the efficiency of human management of energy enterprises.
Competitive Education in the Third Century: Quo Vadis?

The 21st century competition has proved to become an educational rivalry. International leader and competitive champion will be the nation that will catch the new global trends in contemporary education and adequately modernize its training of personnel system. The article is aimed at demonstrating the newest tendencies in education sphere that have arisen in the latest years. The review of the empirical investigations, statistical data and theoretical concepts can forecast future development of education models under globalization and digitalization. The latest decades have demonstrated radical changes in labor market all over the world. The participation rate of low educated employees has significantly declined. The majority of labor force now have education (bachelor/master degree). The gap in wages between low- and higher-educated workers has also risen. What factors can explain the education premium? The viewpoints of Gary Beсker and Michael Spence are nowadays far from adequately explaining the education-related bonus dynamics. In a global digitalized economy the benefits from education lie mostly in public good nature of learning. Value of education is considered to be not only in economic terms (like productivity and income) but also in terms of its major contribution to social, political, religious and cultural life of the society. Education transforms personal tastes, values and preferences towards healthier and more ecologically friendly alternatives. As education, especially higher education, is becoming a kind of a merit good for all, new roles for a teacher have occurred. The educator now is not a monopolistic provider of information. Rather, he is a consultant and a tutor in a system of relationships where students are treated as equal partners in the educational process. Can online education fully substitute class learning? Empirical data does not provide evidence for giving a positive answer. The existence of peer effect means that effective education advances can be achieved only under personal (offline) interactions between peer students and teachers. Competitive education nowadays represents a special model of social relationships. It is not just a contact of a student with an object, whether the latter be virtual or real. Basically, it is a dialogue between two parts with equal rights, a teacher and a student, and its inner intensity depends on personal communication face-to-face.
Rain Removal in the Images Using Bilateral Filter

Rain removal in the image is the challenging task. The rain removal image is useful for the crime scene analysis to identify crime. In this study a novel method is used for rain removal in images using bilateral filter is discussed. Initially, the input rain images are given to rain histogram for the enhancement. Then the bilateral filtering is applied to remove the rain water areas. Then the streak of the rain image is removed. The rain region and non rain regions are separated. Finally the rain removed is obtained. The experimental result shows the performance of the proposed system using bilateral filter.
Direction of University Senior Lifelong Education System in Korea through the Analysis of German Senior University and U3A

독일에서는 초고령사회로의 진입을 앞두고 지속가능한 사회 발전을 위해 경험을 통해 지혜가 축척된 노인들의 자기성장 및 생산력 향상을 지원하는 대학 노인평생학습이 대폭 확대되는 추세에 있다. 그러나 우리나라는 노인이 복지의 대상이므로, 노인복지관에서는 여가 중심의 노인교육이, 대학 평생교육원에서는 학점은행제 등을 통한 학력 보완교육, 문해교육센터에서는 성인기초문자해득교육 등이 실시되고 있다. 이에 지속성장이 가능한 초고령사회에 대비하려면 노인교육의 질을 높이고, 모두를 위한 고등교육 수준의 지식을 제공, 역량 개발과 생산성 함양을 지원하는 대학 노인평생교육 체제 구축이 매우 시급하다. 1980년대부터 독일에서는 노인들에게 대학문호를 개방하고 생산적 능력(capacity)의 확대를 지원하는 대학 노인평생교육 체제를 구축, 발전시켜 왔다. 연구 문제는 대학의 교양강의를 노인들에게 개방하여 평생교육적 측면에서 모두를 위한 대학평생교육의 기회를 보장하는 독일 대학 노인평생교육의 현황을 분석하는데 있다. 연구 목적은 건강한 노화를 지향한다는 측면에서 우리나라 대학에서 고등교육수준에서 대학 노인평생교육 체제 구축을 위한 시사점을 제시하는데 있다. 연구내용은 Horn Bad Meinberg 노인대학교와 66개 국립대학이 운영하는 U3A(노인대학) 분석에 중점을 두었고, 연구 방법은 독일 대학 노인평생교육 운영 사례를 문헌 고찰하였다. 연구의 의의는 초고령화사회로의 진입을 앞두고 우리나라 노인교육의 질 향상 및 노인의 평생학습 기회 보장을 위해 대학 노인평생교육 체제 구축 방향을 제시한 것에 있다.Since the 1980s, the university has been open to Elderly in Germany. It has also established university senior lifelong education system that supports the expansion of productive capacity for Elderly. This study analyzed the current situation of German university lifelong education for Elderly, which opened the liberal arts education of the university for the elderly to guarantee the opportunity of lifelong education for all in terms of lifelong learning. The purpose of this study is to suggest Directions for the establishment of the system for the lifelong education of senior citizens at the level of higher education in Korean universities in terms of healthy aging. The contents of the study focused on the analysis of German senior university in Horn Bad Meinberg and U3A (University of the 3 Age). The implications of this study are to suggest the direction of the university senior lifelong education system to improve the quality of elderly education in Korea and to guarantee the lifelong learning opportunities of the elderly ahead of entering the super aging society.
An Analytical Review on Privacy-Preserving and Public Auditing in Cloud Storage

Cloud storage technology has been rising in popularity because it enables users to perform more work while exporting it to the cloud. It must make sure that the administrations can only be reached by the legitimate client or the authenticated user and no one else. One concern included is data confidentiality in cloud storage and protection against the amount of concerns relating to outsources of data over the cloud from outsources over the cloud Howe ver, in the case of the unintended cloud data loss, fault tolerance is also a significant issue. The code that was regenerating a little while ago when it was lower in the repair status. Previous remote data regeneration approaches, only require a private audit, as well as ensuring that data providers keep records still online, and that these records carrying fixes that are often complicated. This paper introduces a public code storage device audit process. The code is stored in the cloud. In this the issues are fixed to create an authenticator surrogate for individuals who are not data holders but are also really relevant in the patient record system, so that it does not crash. Also research work establish a public key for the novel public that can be checked by any sort of key. The proposed scheme will release private information into public documents. Also, the coefficients for data safety are evaluated by using our pseudorandom function.
ТОЧНОСТЬ РЕЗУЛЬТАТОВ ОДНОВРЕМЕННОГО ОПРЕДЕЛЕНИЯ Na, K, Li, Rb и Cs В ГЕОХИМИЧЕСКИХ ОБЪЕКТАХ МЕТОДОМ ПЛАМЕННОЙ АТОМНО-ЭМИССИОННОЙ СПЕКТРОМЕТРИИ

One of the most important challenges in the simultaneous determination of the five alkaline elements is that their abundance differs thousands of times in natural samples. Therefore, usually the analysis of the same samples is performed using several analytical methods or techniques. An atomic emission spectrometry is the most selective method for the determination of alkaline elements in wide ranges of their contents. The reliable and correct simultaneous determination of major and trace elements contents by one method is economically attractive for classifying rocks, reconstructing the conditions of their formation, etc. The atomic emission spectrometry technique of the simultaneous determination of the five alkaline elements was developed with the use of the modern equipment. The accuracy and trueness of the developed technique results were evaluated in the current study. The technique features were the preparation and the analysis of the high-salt solutions of the geochemical samples, and the use of a low-temperature propane-butane flame and multichannel photoelectric recording of the spectra for the simultaneous determination of alkali metals contents. A specific data processing ensured accounting for the spectral background and minimizing the interferences when calibrating by CRMs with various compositions and genesis. The determined concentrations ranges of alkaline elements in natural and man-made environments had been expanded by improving the detection limits and using several analytical lines of Na, K and Rb with different spectral features. FAES results were compared with the results of XRF, ICP-MS, the standard addition and dilution methods, and its accuracy and trueness were found to be satisfactory for the requirements of geological and geochemical studies. Key words : alkali elements, geochemical objects, flame atomic emission spectrometry, certified reference materials, accuracy and trueness of analysis results  DOI: http://dx.doi.org/10.15826/analitika.2020.25.1.004 Anna A. Zak, Elena V. Shabanova, *Irina E. Vasil’eva Vinogradov Institute of Geochemistry, SB RAS, 1A, Favorsky st., Irkutsk 664033, Russian Federation
PELATIHAN MEDIA E-LEARNING BERBASIS WEB PADA GURU SDN JATIMEKAR I BEKASI

The role of the teacher is very important in the success of students and the quality of education in schools, but many teachers only rely on one application so that teaching and learning activities are boring for students such as the use of smartphones that are not optimal by teachers and students and lack of knowledge of web based E-Learning media to support activities online student learning and evaluation. Quizizz is a web based E-Learning media that can be used by teachers in distance learning whose use is to create online exercises for students, providing maximum potential in technological literacy which is very useful in the current Covid 19 pandemic situation. The method used in training and mentoring teachers at SDN Jatimekar I Bekasi as an alternative application in carrying out daily asssessments and is easy to operate by the teacher, where the teacher can act as admin, examiner, or who makes questions independently. Quizizz has the potential for innovation in distance learning between teachers and students with mobile friendly features, which can be downloaded on the play store or google play which is already available on smartphones.
$(g-2)_\mu$ in the 2HDM and slightly beyond -- an updated view

The recent measurement of the muon $g - 2$ anomaly continues to defy a Standard Model explanation, but can be accommodated within the framework of two Higgs doublet models. If one further includes extra fermion content in the form of a generation of vector like leptons, the allowed parameter range that explains the anomaly is even further extended, and thorny issues of perturbativity and clashes with $B$-decay constraints avoided. We will show how the muon magnetic moment anomaly can be fit within these models, under the assumption that the vector-like leptons do not mix with the muon. We update previous analyses and include all theoretical and experimental constraints, including searches for extra scalars. It is shown that the inclusion of vector-like fermions allows the lepton-specific and muon-specific models to perform much better in fitting the muon's $g - 2$. These fits do require the Yukawa coupling between the Higgs and the vector-like leptons to be large, causing potential problems with perturbativity and unitarity, and thus models in which the vector-like leptons mix with the muon may be preferred.