Reviewerly/exHarmony huggingface dataset:
A Study on Competency Education through Postmodern Reasons

본 연구는 현재 우리나라 교육과정이 역량기반 교육과정을 표방하고 있음에도 교육 현장은 여전히 다양한 실행 양상을 나타내고 있지 못한 것을 문제로 보았다. 이러한 문제를 해결하기 위해 오랜 시간 당연시해온 모더니즘적 사유 방식에서 벗어나려는 시도로써 포스트모던 렌즈를 연구 도구로 활용하였다. 단, 포스트모던 개념이 단일한 개념적 정의를 논할 수 있는 이론이 아니므로 모더니즘의 대표적인 패러다임인 표준화 교육과정에 대해 다른 관점을 보여줄 수 있는 개념으로 ‘주체의 해체’, ‘시뮬라시옹을 통한 의미와 재현의 불가능성’, 들뢰즈가 제시하고 있는 새로운 ‘차이’의 관점과 ‘리좀’을 택하여 이해를 시도하였다. 탐색 결과를 요약하면, OECD에서 2015년부터 새롭게 강조하고 있는 Education 2030의 역량에 대한 변화 즉, ‘웰빙(well-being)’, ‘학생 행위주체성(student agency)’ 그리고 그 발달을 돕는 ‘협력적-행위주체성(co-agency)’과 같은 맥락으로서 교육의 영역을 교육계 밖으로까지 확장하는 주체의 유연한 전환이 필요하고, 온라인과 오프라인, 형식적 학습과 비형식적 학습 등의 ‘경계 없는 학습(cross-over learning)’ 즉, 교육 영역과 범위의 해체를 제안하였다. 그 밖에 ‘어떻게’라는 방법론적 과제로서 다중성과 협력성이 강조되는 학습, 시간성을 초월한 사회적 학습으로의 움직임을 통해 역량 기반 교육과정 실행을 위한 실천 가능성을 탐색하였다.The present study found that the nation s educational system is currently advocating a capacity-based curriculum, but the education site still does not represent various aspects of implementation. To solve these problems, the postmodern lens was used as a research tool as an attempt to break away from the long-held modernist thinking. However, since the postmodern concept was not a theory that could discuss a single conceptual definition, it attempted to understand ‘disbandage of the subject’, ‘impossible to reproduce and meaning through simulacion’ and ‘somewhat’s’ view of the new ‘difference’ presented by Deluxe as a concept that could show a different perspective on the standardization curriculum, which is a typical paradigm of modernism. In summary, the OECD’s new emphasis on the capabilities of Education 2030 since 2015 called for ‘well-being’, ‘students’ and ‘co-agreement’ to expand the scope of education beyond the educational world. Other methodological tasks, such as ‘how’ were explored to implement competency-based curricula through learning that emphasized redundancy and cooperation, and moving toward social learning that transcends timeliness.
Mahaviracharya Encryption Standard (MES)

Given the current use of the Internet, The most important thing is to provide security to the user's information. Many encryption algorithms already exist for this purpose. Here we discussed a new process called Mahaviracharya Encryption Standard. MES is a symmetric encryption algorithm. Here, this algorithm is cryptanalyzed, and compared with blowfish algorithm. MES algorithm can be used instead off algorithms like AES, Blowfish etc.
Linear algebra in function spaces

This textbook is a comprehensive introduction to the key disciplines of mathematics - linear algebra, calculus, and geometry - needed in the undergraduate physics curriculum. Its leitmotiv is that success in learning these subjects depends on a good balance between theory and practice. Reflecting this belief, mathematical foundations are explained in pedagogical depth, and computational methods are introduced from a physicist's perspective and in a timely manner. This original approach presents concepts and methods as inseparable entities, facilitating in-depth understanding and making even advanced mathematics tangible. The book guides the reader from high-school level to advanced subjects such as tensor algebra, complex functions, and differential geometry. It contains numerous worked examples, info sections providing context, biographical boxes, several detailed case studies, over 300 problems, and fully worked solutions for all odd-numbered problems. An online solutions manual for all even-numbered problems will be made available to instructors.
A Swift iPhone App

In Chapter 8 , you created a basic bookstore iPhone app with Swift. In this chapter, you will add some features to the app to make it a bit more functional and use many of the technologies you have learned in this book, such as creating a class, using delegates and protocols, and using actions and outlets. You will also learn about some new techniques such as switches, UIAlertController, and landmarks.
Python-Versionen, Programmbibliotheken und Distributionen

No AccessPython für Ingenieure und NaturwissenschaftlerSep 2019Python-Versionen, Programmbibliotheken und DistributionenHans-Bernhard WoyandHans-Bernhard WoyandSearch for more papers by this authorhttps://doi.org/10.3139/9783446461093.009SectionsAboutPDF ToolsAdd to FavoritesDownload CitationTrack CitationsCopy LTI LinkPDF key 'share (en)' returned an object instead of string.FacebookTwitterEmailLinkedIn previous chapternext chapter FiguresReferencesRelatedDetails 2019Pages: 255-264Print ISBN: 978-3-446-46108-6eISBN: 978-3-446-46109-3 Copyright & Permissions© 2019 Carl Hanser Verlag GmbH & Co. KGPDF downloadLoading ...
5G Wireless Network Security Strategies and Security Issues or its Uses in 5G Networks

Future production networks (5G) will power employ new technological technologies toward convene the supplies of broadband admittance and wireless access ubiquitously and anywhere elevated frequency with mobile availability, and convergence of huge numbers of policy (Internet of Things (IoT)) within an especially consistent plus reasonable means. The potential attack with safety services inside 5G wireless network be then outline by the understanding of novel repair values and original practice cases. We hit 5G using open partners through aphasia approaches industries. The eNB LTE is a master node, and gNB is a master node as well as Massive MIMO (Beam Formulation) for Mobile use. In this 5G Technology use and Smart City and IoT Extending the current Internet and linking, contact, and inter-networking between computer and physical object or' things' is a growing trend which is offending referred to as the Internet of Things. This paper provides approaches to these problems and roadmap for stable 5G networks in the future.
Knowledge on Critical Infrastructure Safety

The paper summarizes knowledge on critical infrastructure, its problems and on principles for its strategic safety management. It deals with way of critical infrastructure risk management and with appurtenant tools so the critical infrastructure might be sufficiently resilient to all present hazards. At the end it shows new emerging hazards
New approaches to the analysis of information and communication activities in the conditions of modern globalization challenges

The urgency of the study is that today the creation of a well-balanced information and communication infrastructure for the management of a state capable of ensuring the formation, distribution, efficient use and protection of resources, largely depends on a clear legal definition of the system of views on the implementation the government of information and communication function.The purpose of the research -the theoretical and practical aspects of new approaches to the analysis of information and communication activities in the context of modern globalization challenges.Objectives of the study: using the methodology of system analysis and system synthesis to determine the problem of the need for a clear legislative definition of the purpose of further action; analyze the problems of forming of global information and communication space.The scientific novelty of the research is the identification of the problems of information and communication activities in the context of modern globalization challenges and the achievement of sustainable development of society.The results of the study: the problems of the legal language were explored and new approaches to the issues of information and communication activities were revealed; also were revealed the human rights problems and the need to systematize the law; information activity of modern Ukraine in the context of globalization challenges is disclosed; the alternatives to innovation and identify ways to achieve information and communication security are researched.Conclusion -the modern state should respond timely to the challenges of scientific and technological progress, adequately respond to key issues of identifying the problems of information and communication activities in the context of modern globalization challenges.The main idea, of course, is to define the purpose, the basic principles and methods of the state's implementation of the information and communication function.It should be aimed at safeguarding national interests and protecting the natural rights and legitimate interests of citizens (individuals), organizations (legal entities) and society as a whole due to the effective use of the accumulated information, modern information and communication complexes and specialists, noblemen to work effectively in conditions of global challenges.
Evaluation and modeling of human posture and balance in response to sensory inputs in a virtual environment

Balance control, spatial orientation and upright posture require an accurate integration of sensory inputs. In order to understand the integration in terms of motor learning and balance improvement, experiments were conducted in a virtual environment. The objectives of the current work were to: 1) examine the postural muscle responses, head movements, and game performance in young healthy subjects when they were exposed to unpredictable situations in the virtual environment 2) examine the extent of learning transfer that occurred in the virtual environment to the real world by means of pre and post posture tests 3) propose and validate the theoretical model that simulates experimental results. Results revealed that game performance increased during training in the virtual environment. The postural test results, electromyogram and head movement data have implications in using the virtual environment in balance and vestibular rehabilitation, for alleviating simulator sickness symptoms, and enhancing spatial knowledge and memory. The model simulates the experimental results very closely and sheds light on the activation of muscles under specific situations encountred in the environment. Overall, the experimental results supported our hypothesis.
New Directions and Issues In Museum Education Program Based on Constructivism: With A Focus on the ‘Meaningful Gamification’

본 연구는 교육 영역에서 게이미피케이션의 적용 목적 및 효과를 동기 유발로 보는 논의들이 활발하게 진행되고 있음에도 불구하고 박물관 교육 프로그램 대상의 학문적 연구 및 실증적 고찰이 부족하다는 판단 하에 그 가능성을 탐색하고 새로운 방향성을 제안하고자 한다. 이를 위해 먼저 게임 메커닉과 다이내믹 등 게임 요소 중심의 역학적 게이미피케이션에 대한 반성적 고찰 속에서 학습자 중심의 의미구성을 강조하는 게임화, 즉 실효적 게이미피케이션(meaningful gamification)으로의 발전 과정을 살펴보았다. 이후 기존의 역학적 게이미피케이션 이론보다 좀 더 사용자 중심적이고 장기적 관점에서 총체적 구조 전환을 추구하는 실효적 게이미피케이션의 디자인 요소들(놀이, 전시, 선택, 정보, 관여, 성찰)이 구성주의 박물관 교육 프로그램의 특징과 갖는 연관성을 찾아봄으로써 구체적인 실현 방안을 검토하였다. 또한 학습 환경, 학습자, 교사 측면에서 실효적 게임화를 적용함에 있어서 발생 가능한 한계점을 살펴보고 그 대안을 검토해 봄으로써 실제적 방향성을 제시하였다. 본 연구는 향후 구성주의 박물관 교육 프로그램 기획 및 운영에 있어 실효적 게임화 적용의 이론적 근거 및 토대를 마련했다는 점에서 의의를 갖는다.The purpose of this study is to investigate and suggest the possibility of applying meaningful gamification in museum education program based on constructivism. It is because there is still a lack of academic and empirical studies although gamification is a popular academic topic in education domain, which shows that game-based learning has a positive impact on learning motivation. We first examine the process of development from reward-based gamification focusing on mechanic and dynamic elements to meaningful gamification emphasizing learner-centered meaning construction. Then, we study correlation of six characteristics of constructivism museum education with six design elements of meaningful gamification(play, exposition, choice, information, engagement, reflection) from learner-centered, long-term and general points of view and propose concrete implementation strategies. In addition, we present new practical directions by examining the practical limitations in applying meaningful gamification and suggesting solutions in terms of learning environment, learners and instructors. This study will be a significant endeavor in providing a theoretical basis and foundation for planning and implementing constructivist museum education programs in the future.
Testing Material for Large-Scale Spatial Abilities

Another important contribution of this study was the development of an age-specific map-based orientation test involving a set of tasks that measured the construct of large-scale spatial abilities with the two broad subclasses which are survey mapping abilities (SurveyMap) and the abilities to reason about the map-environment-self relation (MapEnvSelf) during map-based navigation in space.
Artefact Removal from EEG Signals u sing Total Variation De noising

Artefacts removing (de-noising) from EEG signals has been an important aspect for medical practitioners for diagnosis of health issues related to brain. Several methods have been used in last few decades. Wavelet and total variation based de-noising have attracted the attention of engineers and scientists due to their de-noising efficiency. In this article, EEG signals have been de-noised using total variation based method and results obtained have been compared with the results obtained from the celebrated wavelet based methods . The performance of methods is measured using two parameters: signal-to-noise ratio and root mean square error. It has been observed that total variation based de-noising methods produce better results than the wavelet based methods.
Petrogenesis of Ultrapotassic Lamprophyre in Central Indian Tectonic Zone, Madhya Pradesh: An Insight to Petrogenesis of Lamprophyres of Central India

Lamprophyres are deep mantle derived ultramafic-mafic, volatile-rich, alkaline igneous rocks, which are widely considered as products of metasomatised (enriched) mantle.Lamprophyres contain high abundances of both compatible as well as incompatible trace elements and some of their occurrences are also known to be economically important hosts of diamond and gold.Petrographical observations of central india tectonic zone (sidhi) lamprophyres reveals their porphyritic-panidiomorphic texture.phlogopite-biotite are present as the main phenocryst phases along with olivine, amphibole, pyroxene, feldspar, carbonate, apatite, sphene and spinels are present as groundmass.However, primary olivines are totally replaced by carbonates.SEM study show presence of zoned micas, sulphides, galena, barite and monazites apart from microscopic study.EPMA study reveals presence of Ba rich Feldspars, Fluoro-apatite, pyritechalcopyrite.Multiple generation of these phenocryst suggest repeated degassing and recharge of magma and high TiO 2 content of macrocrystic mica reflects high titanium content of parental magma.Bulk-rock geochemistry reveals them to be intermediate to undersaturated, mafic-ultramafic, potassic-ultrapotassic, nonperalkaline to border peralkaline, metaluminous in nature and these lamprophyres occupies the field of calc-alkaline series.Whereas, high MgO (> 6 wt%) and moderate to high Mg# (60-68) suggests involvement of primary magma and mantle origin.The primordial mantle normalized trace element plot shows enrichment of incompatible trace elements, whereas Chondrite-normalized REE patterns show high fractionation and extreme enrichment in LREE.High La/Yb indicate moderate degree of fractionation and positive correlation in La/Yb vs La diagram indicates that in the compositional variation of the sidhi lamprophyre major role is played by partial melting.Bulk-rock LREE, Hf/Sm N and Ta/La N signatures are indicative of fluid related subduction metasomatism experienced by their source region and is further supported by Nb, Ta and low TiO 2 contents,which is in accordance with that of subduction-zone generated potassic magmas with essentially low titanium contents.Central Indian lamprophyres are thus considered as manifestation of subduction derived metasomatized lithospheric mantle.
De.mem to acquire Pumptech Tasmania

Australian-Singaporean water and wastewater treatment company De.mem has signed a binding agreement to acquire 100% of the Tasmanian water and wastewater treatment systems business Pumptech Tasmania Pty Ltd.
How can I avoid big board blowups?

A good relationship with your board requires routine “board maintenance” and attention to the warning signs of trouble. You can avoid board blowups by using proven board strategies like these.
Modification of Traditional RSA into Symmetric-RSA Cryptosystems

This paper addresses the modification of RSA cryptography namely Symmetric-RSA, which seem to be equally useful for different cryptographic applications such as encryption, digital signature, etc. In order to design Symmetric-RSA, two prime numbers are negotiated using Diffie-Hellman key exchange protocol followed by RSA algorithm. As the new scheme uses Diffie-Hellman and RSA algorithm, the security of the overall system depends on discrete logarithm as well as factorization problem and thus, its security is more than public-key RSA. Finally, some new cryptographic applications of the proposed modifications are described that certainly extend the applications of the existing RSA.
Motivation – problems and prospects of research

The motivation of students for learning is the basis of any cognitive process.When it concerns the learning of foreign languages, the conscious approach of students to education and the individual approach of the teacher to the abilities of students are essential in creating positive associations of the student to the subject.Learning motivation is one of the decisive factors in the effectiveness of the learning process, and represents a complex of motives that cause students to be active in learning activities.Today foreign language teaching is defined by two important strategies: the development of communication skills and the use of online techniques.In fact, there is a process of rethinking the goals and objectives of education, and, therefore, the roles of the teacher and students.The student is not a passive recipient of the truth any longer, but a full participant of the process of cognizing it.This article describes the basic principles of motivation, as well as the tasks and principles of teaching, which are aimed at increasing students' motivation.
CNN-BiLSTM with Attention Model for Emoji Recommendation

Emojis are ideograms which are naturally combined with plain text to visually complement or emphasis the meaning of a message.In social communication, if plain text sentences are used in combination with different emojis, the meaning can be very different.Emoji recommendations are designed to solve the time-consuming issue of choosing an emoji among multiple possibilities on social platforms.The emoji recommendation task is defined as predicting the most likely emoji from a given text, as known as emoji prediction.Although emoji has been widely used on social platforms, the relationship between words and emojis is rarely researched by natural language processing (NLP).Also, the existing studies about emoji prediction are rarely based on Chinese corpus.For this purpose, we study the novel task of emoji prediction based on Chinese Weibo corpus.In this paper, we proposed a CNN-BiLSTM with attention model (CBLA) on the emoji prediction of Chinese social media.Our model is based on bidirectional long short-term memory (BiLSTM) layer with context-aware self-attention mechanism and convolutional layer (CNN).Experimental results show that our method achieved a good result and outperforms other prediction models.
Parallel probabilities

After several years of teaching an introduction to probability and statistics for engineering degree students, my attention has been captured by some variations on the familiar general addition law of probability. Network analysis of components connected in parallel is one of many applications.
Augmented reality in greeting cards

The concept I have been exploring is a mobile app for greeting cards integrated with augmented reality. The idea is to create modernized forms of sharing messages to loved ones through personalized designs created by a variety of independent artists. The product will be greeting cards illustrated by young and/or independent artists that have a personalized AR element, activated through the app. The AR element, is linked to an animated component in relation to the original illustration, or it can be customized by a clip uploaded by the user for a more personal touch. The app is divided into two sections, activating a ready made card, or customizing and creating your own card and ordering a physical copy or sharing it on online platforms. The overall hope for the product is to offer a personalized form of interactivity within greeting cards which hasn’t existed previously or explored as thoroughly.
Volumetric Analysis of Abnormal Region i n MR Brain Images

MRI is known as one of the best imaging modality used for neuro image analysis. Detection of abnormality regions in Brain image is critical due to its complex structure, which can be accurately analyzed with MRI. Several methods and segmentation algorithms have been proposed in the past to extract the abnormal region however there is further scope of increasing the segmentation efficiency. In this work abnormality region in brain is extracted with region based and edge based hybrid segmentation methods and thus obtained region is rendered for volumetric analysis. This analysis is used for depth measurement and localization of abnormal region accurately. Apart from this analysis mainly provides the information about the abnormal region distribution and its connectivity with other regions.
Pneumonia Classification of Thorax Images using Convolutional Neural Networks

The digital image processing technique is a product of computing technology development. Medical image data processing based on a computer is a product of computing technology development that can help a doctor to diagnose and observe a patient. This study aimed to perform classification on the image of the thorax by using Convolutional Neural Network (CNN). The data used in this study is lung thorax images that have previously been diagnosed by a doctor with two classes, namely normal and pneumonia. The amount of data is 2.200, 1.760 for training, and 440 for testing. Three stages are used in image processing, namely scaling, gray scaling, and scratching. This study used Convolutional Neural Network (CNN) method with architecture ResNet-50. In the field of object recognition, CNN is the best method because it has the advantage of being able to find its features of the object image by conducting the convolution process during training. CNN has several models or architectures; one of them is ResNet-50 or Residual Network. The selection of ResNet-50 architecture in this study aimed to reduce the loss of gradients at certain network-level depths during training because the object is a chest image of X-Ray that has a high level of visual similarity between some pathology. Moreover, several visual factors also affect the image so that to produce good accuracy requires a certain level of depth on the CNN network. Optimization during training used Adaptive Momentum (Adam) because it had a bias correction technique that provided better approximations to improve accuracy. The results of this study indicated the thorax image classification with an accuracy of 97.73%.
A Framework for Prediction

This textbook provides future data analysts with the tools, methods, and skills needed to answer data-focused, real-life questions; to carry out data analysis; and to visualize and interpret results to support better decisions in business, economics, and public policy. Data wrangling and exploration, regression analysis, machine learning, and causal analysis are comprehensively covered, as well as when, why, and how the methods work, and how they relate to each other. As the most effective way to communicate data analysis, running case studies play a central role in this textbook. Each case starts with an industry-relevant question and answers it by using real-world data and applying the tools and methods covered in the textbook. Learning is then consolidated by 360 practice questions and 120 data exercises. Extensive online resources, including raw and cleaned data and codes for all analysis in Stata, R, and Python, can be found at www.gabors-data-analysis.com.