Reviewerly/exHarmony huggingface dataset:
Data-Driven Measures to Mitigate the Impact of Covid-19 in South America: How Do Regional Programmes Compare to Best Practice?

This article analyses data-driven measures used in South America to mitigate the impact of COVID-19. Based on a broad review of relevant programmes in the region three selected cases from Argentina (Cuidar App), Brazil (use of personal data by IBGE), and Chile (CoronApp) are evaluated against best regional and international practices.Our findings suggest that programmes in South America mirror approaches in other global regions and as such face many similar challenges. There is no clearly defined purpose, a lack of transparency, and the need for readjustment soon after initial development.While the region is heavily affected by COVID-19, the three case-studies analysed demonstrate that policy makers in the region failed to establish trust in the measures. This can be deducted from low penetration rates of the programmes in Argentina and Chile.Finally, there are serious concerns regarding the long-term impact of these programmes upon human rights (especially privacy) and human dignity.
SECURE REPROGRAMMING EXPLOITATION M-RSA TECHNIQUE IN WIRELESS SENSOR NETWORKS

Wireless sensor networks are self organized, autonomous, automatic discovery of services, extremely ascendable, reliable, Infrastructure less service.Mainly applicable in the field of defense, healthcare.A previous affair of encryption and decryption technique gives the confidentiality to the text data.In this conversion plain text is the composition of only the text characters, some of the application's like reprogramming in the air technique uses encryption of program data.The encryption of program data is differing compare to the text data.Proposed method uses m-RSA for the effective encryption/decryption of program data.This gives more accurate results compare to existing method.To demonstrate that, the execution time and the security achieved by the proposed method are more effective than the RSA.
iPhone 12 Review – One Of The Best iPhones Of The Year

Apple released the brand new iPhone 12 in the 4th quarter of 2020, at this point, I think weve all seen an iPhone before. Pros ...
ANALISA PENINGKATAN PELAYANAN PEMBELAJARAN DARING (ONLINE) DENGAN IMPLEMENTASI METODE SERVICE QUALITY (SERVQUAL) DAN IMPORTANCE PERFOMANCE ANALYSIS (IPA) DI SMA NEGERI 3 TUBAN

Dampak virus corona di institusi pendidikan yaitu pada proses pembelajaran tatap muka digantikan dengan proses pembelajaran online, dimana dampaknya guru dan siswa kurang berpengalaman, minimnya fasilitas yaitu handphone, laptop dan internet paket data dan menimbulkan masalah tingkat kepuasan siswa terhadap pelayanan guru pada media pembelajaran online. Untuk mengetahui tingkat kepuasan pelayanan dalam proses pembelajaran online menggunakan metode Service Quality (Servqual) untuk mengukur tingkat kepuasan pelayanan dari kualitas pelayanan berdasarkan Gap value and Importance Performance Analysis (IPA) untuk pemetaan diagram guna mengevaluasi dan memberikan rekomendasi untuk perbaikan. Lokasi penelitian di SMA Negeri 3 Tuban yang terletak di Jalan Manunggal No.14, Kab.Tuban, East Java Province. This research uses independent variable data, namely Tangibles (physical evidence), Reliability (reliability), Responsiveness (responsiveness), Assurance (Assurance), Emphaty (Empathy). The method used is Service Quality (Servqual) and Importance Performance Analysis (IPA).The results of the Servqual (Gap) value obtained the highest negative attributes, namely TA1 (-0.8), RL3 (-0.58), RS2 (-0.54), RS1 (-0.5) and EP1 (-0.5) . The results of the Servqual (Gap) value per dimension obtained the dimensions of responsiveness (-0.48), reliability (-0.33), empathy (-0.33), physical evidence (-0.32) and assurance (-0.28). ). The result of the calculation of the overall servqual value (Gap) can show a positive value of 0.05. The cartesian diagram mapping results obtained quadrant I attributes are TA1, RL3, and EP1.Based on the servqual (Gap) value, there are 4 attributes that are negative, namely the attributes TA1 (-0.8), RL3 (-0.58) and EP1 (-0.5) so that it shows that the service quality of the online learning process is unsatisfactory and cannot meet the expectations of students. Based on the Cartesian Importance Performance Analysis (IPA) chart mapping, it is found that the attributes are located in quadrant I, namely: TA1, RL3, and EP1. It should be done a maximum of no more than 45 minutes, not giving assignments simultaneously with other subjects, determining the day of assignment by making a schedule and giving space and opportunities to parents as assessors are the best things,Kata Kunci: Kepuasan Mahasiswa, Kepuasan Pelayanan, Kualitas Pelayanan, Importance Performance Analysis (IPA), Servqual
A study on general high school curriculum in China (2017 curriculum 2020 revised): Focusing on the foreign language (English, Japanese, Russian, German, French, Spanish) curriculum

This paper analyses the foreign language curriculum of general high schools in China. The Chinese educational authority announced an experimental version of its language curriculum in 2003, revised it in 2017, and revised it in 2020. In 2003, the foreign language curriculum included only three foreign languages: English, Japanese, and Russian. German, French, and Spanish were added from the 2017 curriculum. The 2017 curriculum consists of three categories: ‘required’, ‘required optional’, and ‘optional’. The required courses meet the requirements for graduation by all students. Students intending to go to college must complete all required optional courses. The six foreign language curriculums equally set four core competencies: language ability, cultural consciousness, thinking ability, and learning ability. In addition, this paper investigated curriculum structure of the six foreign languages, learning vocabulary, and items included in the appendix, and compared the foreign language curriculum in China and Korea. In conclusion, Korea’s next curriculum suggested that achievement standards and evaluation criteria should be more specific in preparation for the high school credit system, and that achievement standards and evaluation criteria should be described so that the curriculum and college entrance can be linked.
Cases as an effective method of organizing students' independent research

This article discusses cases, which are one of the most modern, reproductive and problematic methods, arousing students 'interest in education. Evaluation of participants occurs at the fourth stage and is carried out in two ways. The first involves counting the active manifestations of participants and their fixation on a special form, and the second is focused on assessing the content of speeches of individual participants. The fifth stage involves summing up the discussion, analyzing the progress and evaluating the participants.
A cost-benefit analysis of GPU-based EC2 instances for a deep learning algorithm

This paper analyzes the cost-benefit of using EC2 instances, specif- ically the p2 and p3 virtual machine types, which have GPU accelerators, to execute a machine learning algorithm. This analysis includes the runtime of a convolutional neural network executions, and it takes into consideration the necessary time to stabilize the accuracy value with different batch sizes. Also, we measure the cost of using each machine type, and we define a relation be- tween this cost and the execution time for each virtual machine. The results show that, although the price per hour of the p3 instance is three times bigger, it is faster and costs almost the same as the p2 instance type to train the deep learning algorithm.
Appunti sulla fortuna di "I' mi son pargoletta bella e nova" nelle laude del ms. Riccardiano 2871

The lauda Ancella preciosa di Dio padre (ms. Riccardiano 2871) is the only case of an architextual quotation of Dante’s works in the whole cantasi come repertoire. The adoption of the original strophic architecture of the ballata I’ mi son pargoletta bella e nova shows how imitative procedure (in this case almost a contrafactum) works in relation to the structure of musical intonation. Moreover, the author recognises a wide range of imitative phenomena also in other laude contained in the manuscript, including those related to the famous Petrarchan madrigal Non al suo amante piu Diana piacque.
Danilevsky in Vologda

The article is devoted to the staying and activities of N.Ya. Danilevsky in Vologda, his connections with the Vologda region and to the importance of the thinker’s exile in Vologda. The author also relates about the phenomenon of Vologda exile in general and the staying there of other prominent persons such as N.I. Nadezhdin, V.I. Sokolovsky, M.L. Magnitsky and N.A. Berdyaev. The author notes the importance of the sojourn of famous people for the Vologda region.
Early Detection of Severe Flu Outbreaks using Contextual Word Embeddings

The purpose of automated health surveillance systems is to predict the emergence of a disease.In most cases, these systems use a text categorization model to classify any clinical text into a category corresponding to an illness.The problem arises when the target classes refer to diseases sharing multiple information such as symptoms.Thus, the classifier will have difficulty discriminating the disease under surveillance from other conditions of the same family, causing an increase in misclassification rate.Clinical texts contain keywords carrying relevant information to distinguish diseases with similar symptoms.However, these specific words are rare and sparse.Therefore, they have a minor impact on machine learning models' performance.Assuming that emphasizing specific terms contributes to improving classification performance, we propose an algorithm that enriches training samples with terms semantically similar to specific terms using the deep contextualized word embeddings ELMo.Next, we devise a weighting scheme combining chi-square and semantic scores to reflect the relatedness between features and the disease under surveillance.We evaluate our model using the SVM algorithm trained on i2b2 dataset supplemented by documents collected from Ibn Sina hospital in Rabat.Experimental results show a clear improvement in classification performance than baseline methods with an F-measure reaching 86.54%.
Моральні орієнтири студенства

Factors and directions of retrofitting of moral reference-points of man are illuminated at modern sociocultural terms. Attracted attention to the changes in the system of moral discipling of student and activation of his role in progressive development of society.
Wave Height Prediction Based On Wind Information By Using General Regression Neural Network, Study Case In Jakarta Bay

Abstract—Information about ocean wave is very important for naval navigation, port operations, offshore or nearshore activities around the sea waters. Moreover prediction of wave condition is necessary for design of harbour, coastal and offshore structures. Variations in wave heights are caused by wind pressure on free waves which make it random and uncertain, so that become difficult to predict. In previous studies, wave prediction have been carried out by using semi-empirical methods and conventional methods that require high resolution simulations and high computation. In this paper, we propose a method for prediction wave height from wind data by using a variant of Artificial Neural Network (ANN) with single pass associative memory-forward, so called General Regression Neural Network (GRNN). To obtain a set of training data, we perform numerical wave simulation by using SWAN (Simulating Wave Nearshore) model by using wind data obtained from ECMWF ERA-5. As a study area, we choose a rather shallow bathymetry and complex geometry, in Jakarta Bay, Indonesia. Results of prediction by using GRNN show a good agreement with wave data.Keywords – General Regression Neural Network, WavePrediction, Wind Waves, SWAN model.
Pengaruh Lingkungan Belajar, Fasilitas, dan Metode Mengajar Guru melalui Motivasi terhadap Hasil Belajar

The research purpose is to knowing the effect of enviromental education in school, education facilities, the teacher learning method through learning motivation to the learning social studies result. The research method used descriptif verifikator, ex post facto and survey. The collection data technique using questionnaire and test. The taking sample technique is approached simple random sampling. The amount of sample is 144 students on SMPN 22 Bandar Lampung. The data analysis using track analysis and Structural Equation Modeling (SEM). The research result showing that there's a positive relation lickages between endogenous variable, exogenous variable, and intervening variable. Can be concluded that if learning enviroment in school, learning facilities, the teacher learning good method will have an impact on good motivation and also good learning result.
APLIKASI CUSTOMER RELATIONSHIP MANAGEMENT MENGGUNAKAN PENDEKATAN FRAMEWORK OF DYNAMIC (STUDI KASUS: PT BINTANG KHARISMA MOTOR BANDAR LAMPUNG)

PT Bintang Kharisma Motor is a Honda dealer engaged in motorbike service located on Jalan Raya Soekarno Hatta 5A Tanjung Seneng, Bandar Lampung. PT Bintang Kharisma Motor has equipment related to motorbike service, which does not have a system for ordering motorbike service orders and there is no system to measure the level of service found at PT Bintang Kharisma Motor. Apart from that, the recording of the purchase and sale of spare parts still uses manual recording so that distorting data on the purchase and sale of spare parts is still deemed inefficient and ineffective. Making reports that are long and deemed ineffective makes researchers want to develop a system at PT Bintang Kharisma Motor. In making the system at PT Bintang Kharisma Motor made with UML diagrams consisting of three diagrams, namely usecase diagrams, activity diagrams, and class diagrams as the initial system design to be made, then programming is made with the PHP programming language according to the existing user interface design. and MySql as database. The system that has been created can help distort sales / service data, purchase and create purchase and sales reports faster than before, and the system helps in processing complaint data, ordering services, and measuring the level of service provided at PT Bintang Kharisma Motor.
A Promising Forecast for Predictive Science

A new U.S. Geological Survey report outlines how emerging technologies and cross-disciplinary collaborations are expected to empower new tools for managing hazards and resources.
Penerapan Algoritma C4.5 Dalam Klasifikasi Penerima Kartu Keluarga Sejahtera (KKS)

The purpose of this study is to classify data on families who are entitled to receive a Prosperous Family Card (KKS), because there are still many other poor families who have not had the opportunity to receive this assistance program. Sources of data obtained from the Panghulu Nagori Mekar Rejo office, Bosar Maligas District, Simalungun Regency. The method used in this research is the C4.5 algorithm data mining technique which is implemented with the RapidMiner 5.3 application. The variables used in determining which families are entitled to receive a Prosperous Family Card (KKS) are (1) Occupation, (2) Income of the Head of the Family, (3) Number of Dependents, (4) Highest Education, (5) Condition of the House Building. The results of the classification using the C4.5 algorithm and testing with the Rapidminer software found that the factor that determines the feasibility of providing the Prosperous Family Card (KKS) assistance is C2 (Head of Household Income) with the highest gain value, namely 0.46880137
Farewell deductive teaching. inductive approach in teaching esp (English for specific purposes)

Novelty, innovation, creativity, these terms and their description is the core aspect of today's developing era. In terms of technology, they occur in every item of human needs. Although technology is used to be seen in devices and items, novelty in teaching, specifically in Teaching English can impact not only the entity but also the life and living. Having appropriate teacher with inductive approach and techniques in language acquisition is highly in demand nowadays. Due to the increasing value of knowing languages, and talking about English, the language famous for becoming Lingua Franca. Currently, English is required not only in learning language but also target language is taught and learnt for various aims. We are more aware about the view when realize the importance of learning English for Specific Purposes. (ESP). Under the requirement of current development, there very few people who either learn English just to know the language or because someone insisted. Hence, high level of language proficiency is the promotion at work, work and travel opportunities, better financial prosperity, better living.
대학 영어 수업에서의 영화 기반 언어-문화 통합 수업의 효과성 분석

The purpose of this study was to examine the effect of using films on students’ reading comprehension and attitude toward their English study in the context of a college English class. Specifically, it attempted to examine how a film-based English reading class affected students’ reading comprehension and attitudes toward their study, and how they recognized the film-based English reading class. Thirty-one college students were asked to take pre- and post-tests in English reading, and to respond pre- and post-questionnaires regarding their affective domain, and a focus group of four students was voluntarily interviewed with one of two researchers. Quantitatively, a paired t-test was employed to compare the statistical means from those two samples, and qualitatively, the framework developed by Miles and Huberman (1994) was adopted to describe the major phases of data analysis. The results of data analysis indicated that 1) Using films in the college English reading was helpful for students to comprehend the given text, and to understand other cultures; 2) Also this film-based reading class optimally contributed to the affective domain such as students’ attitudes, interests, and confidence levels. Based on these results, pedagogical implications for effective English reading classes were suggested.
Introducing ⦇ λ ⦈, a λ-calculus for effectful computation

We present ⦇λ⦈, a calculus with special constructions for dealing with effects and handlers. This is an extension of the simply-typed λ-calculus (STLC). We enrich STLC with a type for representing effectful computations alongside with operations to create and process values of this type. The calculus is motivated by natural language modelling, and especially semantic representation. Traditionally, the meaning of a sentence is calculated using λ-terms, but some semantic phenomena need more flexibility. In this article we introduce the calculus and show that the calculus respects the laws of algebraic structures and it enjoys strong normalisation. To do so, confluence is proven using the Combinatory Reduction Systems (CRSs) of Klop and termination using the Inductive Data Type Systems (IDTSs) of Blanqui.
What's Been Happening in the Romanian News Landscape? A Detailed Analysis Grounded in Natural Language Processing Techniques

People strive to be connected to events happening worldwide in terms of politics, technology, sports, business, and many other domains. The main source of news today resides in online publications which can strongly influence the public opinion. Our purpose is to build a comprehensive automated pipeline, integrating various Natural Language Processing techniques, to process online news written in the Romanian language. Our dataset consists of 631,565 news articles from various Romanian publications between May 2004 and December 2019 which are used to detect semantic similarities between articles and rank various publications in terms of their influence. Furthermore, we created visualizations to ease the understanding of results and ensure efficient text retrieval over the gathered articles. In the future, we plan to apply opinion mining, geographical names extraction and content quality assessments relating, for example, to the likelihood of being a fake news.
Game Edukasi Game Edukasi Pembelajaran Substansi Genetika pada Mata Pelajaran Biologi

Genetic substance is one of the material from biology lessons studied by 12th high school students major in science which discuss about genetic material. This material is considered difficult by most of that students. Their reason is this material is not real or cannot be seen directly by the eye, the explanation from the teacher in the school about the material is unclear, the material is confusing and difficult, and there are many materials which must be memorized. So the alternative learning media are needed, to help students learn independently, by utilizing existing technology at this time. Therefore, this final project is designed an educational game for learning material of genetic substance based on Android. Based on the tests that have been done, it was found that the functionality for the game was 100% in accordance with the expected results. As for the material that used in game, it is correct and accordance with the material that used by the school, based on the validation carried out by biology’s teacher, who have taught biology for 20 years. For performance testing, android device’s specification that needed to run this game smoothly is device that has RAM bigger than 1 GB. As for usability testing, the score obtained is 86,33% which means that the game is built very well from user’s side.
Cloud Oriented Integrated Composite Services over SOA in Distributed Computing

Service-oriented architecture (SOA)[1] is an incessant term to deal with various administrations dependent on solicitations of various clients in various ongoing applications. Still, now, a few people don't have total information about what SOA really has done, they get confounded how SOA identifies with distributed computing. On account of cloud administration usage in SOA need security mindful help creation with finegrained stream control to make sure about web administrations at execution time to share various administrations to various clients in dispersed condition? Routinely various models were acquainted with investigating secure web administrations at execution of various administrations. Because of access control infringement, they will take high execution time and other leader boundaries profoundly, and furthermore they don't control access assurance arrangements in composite administrations, which may deliver bothersome information spillage. To conquer these infringement issues in SOA, we present Integrated Novel Multi-Level Composite Service Model (INMLCSM)[2] to lessen infringement calculation cost dependent on customer authentic and demonstrate customer composite administrations and furthermore perform nearby/distant strategy calculation for highest customers. We acquaint idea of change factor with characterize halfway administrations. Our proposed approach portrays forceful exploratory outcomes.