Reviewerly/exHarmony huggingface dataset:
Flooding

Africa Research Bulletin: Economic, Financial and Technical SeriesVolume 57, Issue 12 p. 23257A-23257B Policy and Practice Flooding First published: 03 February 2021 https://doi.org/10.1111/j.1467-6346.2021.09856.xRead the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume57, Issue12February 2021Pages 23257A-23257B RelatedInformation
3D Face Reconstruction Techniques: Passive Methods

In the recent literature, 3D face reconstruction received wide interest and has become one of the significant areas of research. 3D face reconstruction provides in depth details on geometrics, texture and color of the face, which are utilized in different applications. It supports a multitude of applications, ranging from face recognition and surveillance to medical imaging, gaming, animation, and virtual reality. This paper attempts to consolidate the research works that have happened in the history of 3D face reconstruction. Also, we try to classify the existing methods based on the input for the process. The databases used in the recent works are discussed and the performance evaluation of methods on different databases is analyzed. The challenges addressed in recent studies are mainly focused on the faster reconstruction of 3D Images, improved accuracy of reconstructed images, human pose identification, image reproduction with higher resolution. Researchers have also tried to address occlusion related problems. Passive methods, used by different researchers are analyzed and their effects on different parameters are discussed in this work. Finally, possible future areas for improvement in terms of reconstructions are presented for the benefit of researchers.
The Moscow School Is a Large Territory of Great Opportunities: the Aspect of Profiling in Teaching Schoolchildren

The article presents a modern view on the organization of specialized education in schools using the example of Moscow education, provides an overview of projects aimed at the formation of pre-professional interests and skills of schoolchildren and their preparation for choosing a profession.
The effect of mobile learning in higher education mathematics

Mobile learning (M-learning) is not a virtual library, nor is it a means to replace lectures. It is intended to complement lectures/seminars and harmonises learning techniques by using mobile applications such as phones, PDAs, and tablets. As students become increasingly technophilic, the digital revolution becomes an integral part of education. M-learning is not shifting from PCs to phones, it is a way of extending the hierarchy of learning facilities. M-learning offers new ways for lecturers to deliver material, new ways for students to revise independently and with their peers, and integrates learning into their daily lives. Known for their flexibility, ability to exchange information, popularity, and of course mobility, mobile devices can be a suitable education resource. However, how serious are the drawbacks to M-learning? To what extent is M-learning advancing learning strategies? Does M-learning have any impact on the mindset of students in higher education? In this project, we explore the big questions related to M-learning, with a focus on the Department of Mathematics at the University of Exeter.
KKR and XPV Water Partners add to water quality platform

The water quality solutions platform that investment firm KKR and Canada's XPV Water Partners set up last year has acquired Environmental Dynamics International Inc (EDI), a US manufacturer of diffused aeration systems (see Filtration Industry Analyst, December 2019).
From Black Holes to Random Forces

In this modern and distinctive textbook, Helliwell and Sahakian present classical mechanics as a thriving and contemporary field with strong connections to cutting-edge research topics in physics. Each part of the book concludes with a capstone chapter describing various key topics in quantum mechanics, general relativity, and other areas of modern physics, clearly demonstrating how they relate to advanced classical mechanics, and enabling students to appreciate the central importance of classical mechanics within contemporary fields of research. Numerous and detailed examples are interleaved with theoretical content, illustrating abstract concepts more concretely. Extensive problem sets at the end of each chapter further reinforce students' understanding of key concepts, and provide opportunities for assessment or self-testing. A detailed online solutions manual and lecture slides accompany the text for instructors. Often a flexible approach is required when teaching advanced classical mechanics, and, to facilitate this, the authors have outlined several paths instructors and students can follow through the book, depending on background knowledge and the length of their course.
MEDIA

Africa Research Bulletin: Political, Social and Cultural SeriesVolume 57, Issue 11 p. 22964C-22965C Social and Cultural MEDIA First published: 20 December 2020 https://doi.org/10.1111/j.1467-825X.2020.09776.x Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume57, Issue11December 2020Pages 22964C-22965C RelatedInformation
Main Map Value Preposition Design

Main Map Value Proposition Design. By : Monica Evelyn Tantienaffectio,NIM : 2401962900, Universitas Bina Nusantara. Email : monica.tantienaffectio@binus.ac.id).Content (canvas, design, test, &amp;amp; evolve). Reference : (Alexander Osterwalder, Yves Pigneur, Greg Bernarda &amp;amp; Alan Smith (2014) Value Proposition Design, John Wiley &amp;amp; Sons, Inc.). Dosen Pembimbing : Agung Purnomo
Improved online sequential extreme learning machine: OS-CELM

Online learning methods (OLM) have been gaining traction as a solution to classification problems because of rapid renewal and fast growth in volume of available data. ELM-based sequential learning (OS-ELM) is one of the most frequently used online learning methodologies partly due to fast training algorithm but suffers from inefficient use of its hidden layers due to the random assignment of the parameters of those layers. In this study, we propose an improved online learning model called online sequential constrained extreme learning machine (OS-CELM), which replaces the random assignment of those parameters with better generalization performance using the CELM method based on the distance between classes. We compare the performance and training times of OS-ELM, ELM, and the proposed models for four different data sets. The results indicate that the proposed model has better generalization and accuracy performance.
The use of LRD strategy to improve student’s reading comprehension in English narrative text at the third grade of SMPN 3 Jati Agung

This research aimed to investigate whether there was an improvement in student’s reading comprehension before and after being taught through LRD strategy and find out their response toward the strategy. This research conducted at SMPN 3 Jati Agung academic year 2019/2020, with the total number of samples was 32 third grade students. The data collected by using multiple choice and questionnaire. To analyze quantitative data, the researcher used t-test while qualitative data applied scale Likert. The result showed there was an improvement in student’s reading comprehension after being taught through LRD strategy with the significant level &lt;0.05. The students also agreed this strategy was easy to follow in the lesson to understand the materials. It can be concluded LRD strategy makes a positive impact on student’s reading comprehension.
Photonic tensor cores for machine learning

Here we introduced an integrated photonics-based TPU by strategically utilizing a) photonic parallelism via wavelength division multiplexing, b) high 2 Peta-operations-per second throughputs enabled by 10’s of picosecond-short delays from optoelectronics and compact photonic integrated circuitry, and c) zero power-consuming novel photonic multi-state memories based on phase-change materials featuring vanishing losses in the amorphous state. Combining these physical synergies of material, function, and system, we show that the performance of this 8-bit photonic TPU can be 2-3 orders higher compared to an electrical TPU whilst featuring similar chip areas. The runtime complexity is O(1) once the kernel matrix is programmed, however the engine scales with O(N^3) resources (devices). This system could ultimately perform in the range 10-500fJ/MAC, 1-50 TMACs/mm^2, and ~100ps (1 clock cycle) per VMM operation.
Index/Impressum: Vakuum in Forschung und Praxis 5/2020

Vakuum in Forschung und PraxisVolume 32, Issue 5 p. 51-51 Magazin Index/Impressum: Vakuum in Forschung und Praxis 5/2020 First published: 08 October 2020 https://doi.org/10.1002/vipr.202070508AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume32, Issue5October/November 2020Pages 51-51 RelatedInformation
“Analyzing the Effect with Integrated Technique for Feature Selection and Software Defect Prediction”

software defect prediction (sdp) technique was projected to designate testing assets sanely, decide the testing want of assorted modules of the software system, and improve programming quality. By utilizing the implications of sdp, programming specialists will fruitfully pass judgment on it that software system modules area unit sure to be blemished, the conceivable range of imperfections in a very module or different information known with software system defects before testing the software system [1]. Existing sdp studies may be divided into four types: (1) classification, (2) regression, (3) mining association rules, (4) ranking. The primary aim of the primary class is to classification of the software system entities like functions, classes, files, etc into completely different levels of severity with the assistance of various applied math techniques like supply regression [2] and discriminant analysis [3] and techniques of machine learning like svm [4] and ann [5]. The second kind aims to assess the amount of imperfections within the components of the software system by victimisation completely different ways, for instance, genetic programming, and support vector regression [6]. The third category utilizes association rule mining approaches, for instance, relative affiliation rule [7], and also the cba2 algorithmic rule, to mine the affiliation between the errors of programming components and programming measurements. The fourth category contemplates to rank the product of the software system as per the amount of errors in components or specifically streamlining the performance of ranking, i.e., faults share average (fpa) as indicated by existing studies of sdp [8]. Sdp distinguishes the modules that area unit imperfect and it needs a large scope of testing. Early recognizable proof of a blunder prompts viable allotment of assets, decreases the time and value of developing software system of high-quality. Hence, associate degree sdp model assumes a vital job in comprehending, assessing and rising the character of a product framework. Consequently, predicting deformity is incredibly basic within the field of reliableness and quality of software system. Predicting the defects is almost a unique analysis space of programming quality planning. By covering key indicators, forms of info to be assembled and also the role of sdp in software system quality, the connection among predictor and defect may be established.
So what are you going to do with that?: The promises and pitfalls of massive data sets

This article takes as its case study the challenge of data sets for text mining, sources that offer tremendous promise for DH methodology but present specific challenges for humanities scholars. These text sets raise a range of issues: What skills do you train humanists to have? What is the library’s role in enabling and supporting use of those materials? How do you allocate staff? Who oversees sustainability and data management? By addressing these questions through a specific use case scenario, this article shows how these questions are central to mapping out future directions for a range of library services.
Machine Learning Techniques for Detecting Identifying Linguistic Patterns in the News Media v1

Proposing and comparing multiple neural network-based techniques in order to choose an optimized configuration, the described method can train a classifier to predict the publisher of news articles given a short snippet of text. This classifier's scores can then help in creation of a exemplar-based news search engine. Specifically, this model can be used to compare linguistic patterns between different news organizations and to identify prototypical articles for a news source that most "exemplify" a publisher’s coverage. Finally, these "exemplars" are made searchable through an open source browser-based application.
Student’s Deductive Reasoning: Playing Detective Role In an Online Game

Students of the Elementary Teacher TrainingDepartment (PGSD) cannot distinguish deductive and inductivearrangements in a paragraph or a single story. As is known, inIndonesia, in conducting tests, there are several questionsrelated to deductive reasoning. The response or perception ofstudents after being a detective in online games for deductivereasoning also needs to be known. The data in this research wereanalyzed using the Kendall W. test method, which is included inthe non-parametric statistical test to find a perception match.The research results show the S-result of 262 and W results of0.727. With p 0.95 and n as many as 6 in the table of quantiles ofkendall's test statistics, it can be seen that the value of s table is 7.The provisions of h0 are rejected if S-count&amp;gt; S-table 262&amp;gt; 7,there is a perception match. Perception to be a detective fordeductive reasoning is divided into 5 judgments, which aresystematic approaches, general logic approaches that aredevoted to radical logic approaches, and moderate logicapproaches, and progress approaches
Optimization of Focused Wave Front Algorithm in Unknown Dynamic Environment for Multi-Robot Navigation

Robotics is a field which includes multiple disciplines such as environment mapping, localization, path planning, path execution, area exploration etc. Path planning is the elementary requirement for all the above mentioned diversified fields. This paper presents a new method for motion planning of mobile robots which carry forward the best features of Focused Wave Front and other wave front based path planners, at the same time optimizes the algorithm in terms of path length, energy consumption and memory requirements. This research introduces a method of choosing every next step in grid based environment and also proposes a backtracking procedure to minimize turns by means of identifying landmark points in the path. Further, the authors have enhanced the functionality of Focused Wave Front algorithm by applying it in uncertain dynamic environment. The proposed method is a combination of global and local path planning as well as online and offline navigation process. A new method based on bidirectional wave propagation along the walls of obstacle and wall following behavior is being proposed for avoiding uncertain static obstacles. Considering the criticalness of moving obstacles a colored safety zone is assumed to have around them and the robot is equipped with color sensitivity. Based on the particular color (red, green, yellow) that has sensed the robot will make intelligent decisions to avoid them. The simulation result reflects how the proposed method has efficiently and safely navigates a robot towards its destination by avoiding all known and unknown obstacles. Finally the algorithms are extended for multi-robot environment.
Derivation

Dutch complex words are formed by means of suffixation, prefixation, and conversion (change of category without morphological marking). The productivity of a word formation process is subject to various types of restriction, partially having to do with the layer of the lexicon (native or non-native). There are also word formation patterns that are unproductive. The grammar has to specify them nevertheless because these patterns still have a motivating function and reduce the arbitrariness of form-meaning correspondences. Special forms of word coining are blending, clipping, and the formation of acronyms.
Turtle Graphics

Drawing shapes and patterns with the Python turtle allows readers to practise using loops and helps them learn computational thinking skills where they have to spot repeating patterns. The nine challenges allow them to put these skills into practice.
Stephanix D2RS Digital Dynamic Remote System

Biomedical Safety & Standards 49(3):p 19, February 15, 2019. | DOI: 10.1097/01.BMSAS.0000553351.20062.e9
High Density Impulse Noise Removal using Advanced Median Filter for Preserving Image Quality Metrics

In this work, a procedure to remove the high density salt and pepper noise from a corrupted image is developed and to compare the output image with the original image through the image quality metrics. As a common practice the corrupted pixels are replaced by the median of neighboring pixel values by considering a constant number of neighboring pixels. But in this proposed method the corrupted pixels are identified and are replaced by the median of the neighboring pixel values which are adjustable, to preserve and improve the image quality metrics. This method makes a comparison between the corrupted and uncorrupted pixels and performs the median filtering process only on the corrupted ones. In this work a 3x3, 5x5 and 7x7 square neighborhood are used. The output images are observed with low neighborhood as well as high neighborhood pixel values. The calculation of PSNR (Peak Signal to Noise Ratio) and MSE (Mean square error) value for each dimension with different percentages are considered for the comparative analysis.
LITERATURE AND ITS ROLE IN SHAPING THE SOCIETY

“Great literature is simply language charged with meaning to the utmost possible degree”. The history of literature dates back to the dawn of human civilization .The societies were formed by the human beings with objectives of fulfilling the human needs and aspirations. Setting aside which came first—the literature or society—the aim of the author is to depict the picture of literature in society and vice versa. Both have remained inseparable from each other, for literature cannot sustain without society, and likewise the society too cannot be unnoticed in literary pieces in one way or another. This paper is about the importance of literature and how it influences the minds of people in leading a good life.
Preface

II International Scientific Practical Conference “Breakthrough technologies and communications in industry and city” (BTCI’2019), 18-23 November 2019, Volgograd, Russian Federation The conference was held on 18-23 November 2019 at Volgograd state university (Volgograd, Russian Federation) and provided a forum place for discussion for PhD students, teachers, scientists, researchers from research institutes and industrial enterprises from Volgograd, Moscow, Irkutsk and other cities from Russia and abroad (France, Germany, China). The conference served as a platform for the researchers to discuss and carry out a research on current production and communication technology in industry and production department. The aim of the conference was to present the innovative approaches to developing convergent solutions in engineering and technology, and also in interdisciplinary scientific researches. As the venue bore interdisciplinary character, the scientists and experts also had an opportunity to cover the applied aspects like training, oral communication, technical translation, interaction and others. Key topics of the conference covered priority research areas of technical, communication, educational and other related sciences and took into account global trends in social and industrial development. BTCI2019 topics are built on the fundamentals of sustainability, with vigorous attention to innovative technologies for producing and testing permanent joints, modern technologies for producing and processing materials in industry, automation, informatization and management in the enterprise, production communication and ethics, environmental protection, safety and labor protection in enterprises, breakthrough technologies and technology for subsoil development, development of methods to stimulate innovation and investment activity of enterprises. List of PROGRAM COMMITTEE, Program Chair, Members, ORGANIZING COMMITTEE, Organizing Chair, Members are available in the pdf
macOS Security

It is debatable if macOS is really more secure than Windows, but Apple has gained a reputation that a Mac is less susceptible to malware and privacy breaches than other platforms. Much of Apple’s security and privacy services have continued to evolve over the last several iterations of macOS, with Mojave and Catalina placing an even greater emphasis on sandboxing and user acknowledgement. This chapter explores both hardware and software security and privacy controls that Mac system administrators must be familiar with.
Information Security Risk Management for BIDUK System

The use of digital technology nowadays makes data and information become vital part of any organization. Non-profit organization, such as Archdiocese of Jakarta, also relies on system to do their work and services for Catholic people under their jurisdiction. BIDUK system is used by Archdiocese of Jakarta as information system to administrate and provide service to people. Its information also used as tools for decision making. Currently, there is no proper information security risk management method used for BIDUK system, which is important system for Archdiocese of Jakarta. This study’s objective is to propose a IS risk management method that can be used to manage risks for BIDUK system. This study proposes OCTAVE Allegro method because of its simplicity and suitable for small organization. After following every IS risk management phases of OCTAVE Allegro, we found that this method is suitable to be used to manage risks of BIDUK system.