Reviewerly/exHarmony huggingface dataset:
Iot Based Contact Lens Pressure Measurement System

The pressure is the main defect for all the health issue in the entire world. So, the literal measurement of the pressure is the main factor. The manual measurement of the pressure takes so long. Thus the proposed system here is a great effect and time to consume all of the drawbacks in the entire world of ocular health care monitoring. The system uses a polymer called PDD in which they are nontoxic element and can easily be disposable and it does not produce any irritation to the eyes and it’s been a great liable one for the lens production. In which they cannot harm the human eye and can be a beneficial factor for the eye. Thus they are of low cost and can be easily used by the patients without any risk factor in sense of the usage. It transmits the data through the IoT, by an RFID sensor and also to the Personal computers nearby at the range of the sensor modeled over by the ideas of the system in their ability of the defined pressure in the modeled design. The system is over half success in the nanoscale technological development in and around the world of automation. Thus the system is a boot to the world of the technological era and the sooner applications in the area o automation. And it’s a great leap towards the beneficial era of science and development in the upside world of the days to overcome in their criteria of wittedness.
PENGGUNAAN METODE MULTILAYER PERCEPTRON PADA PREDIKSI INDEKS SAHAM LQ45

Forecasting stock prices is an analytical action that is needed as a first step to make decisions in determining the right moment to make buying and selling transactions on the stock exchange floor The amount of data used is 511 days in the period 31 May 2018 – 29 May 2020. This study aims to estimate three stock prices on a daily basis, namely PT. Telekomunikasi Indonesia (Persero) Tbk, PT.Astra International Tbk and PT. Kalbe Farma Tbk uses an artificial neural network model, namely Multilayer Perceptron (MLP).
Methods of Automating Processes in Statistical Control and Quality Management Field

Main aspects of statistical control of quality management processes of both products and existing processes in the enterprise are discussed. Based on the criteria selected for comparison, a comparative analysis of the existing software for statistical management is carried out. The advantages and disadvantages of systems are noted and the answer to the question of the applicability of each of the systems in the problem of process automation is formed. The main perspective directions of modernization of the existing systems and development of new systems on statistical management of processes are allocated.
Research on quality of in-service teacher education and professional development in Ukraine by TALIS Methodology and its policy impact

In the present day, teacher education in Ukraine, both pre-service and in--service, is undergoing considerable change within the scope of the New Ukrainian School reform.The Ministry of Education and Science of Ukraine, as the main policymaker, came to the understanding that the reform should be evidence-based and commissioned the Ukrainian Educational Research Association to carry out the All-Ukrainian Monitoring Survey of Secondary School Teachers and Principals, using the TALIS methodology (2017)(2018).The research gives insight into the professional development and support of teachers.The authors present the survey's results on the above-mentioned issues as well as analyze how the survey results are used in policymaking.They conclude that although the reform is introducing a lot of positive changes, in the current Ukrainian educational system, which is too formalised, teachers' professional development is still propelled by external rather than internal motivation; professional development courses that are not diversified enough do not meet teachers' demands; and teachers demonstrate a low degree of awareness of the dynamic 21 st -century changes that engender teachers' ability to work in a multicultural and inclusive classroom environment.
Accelerated Simulated Annealing and Mutation Operator Feature Selection method for Big Data

The optimal feature subset selection over very high dimensional data is a vital issue. Even though the optimal features are selected, the classification of those selected features becomes a key complicated task. In order to handle these problems, a novel, Accelerated Simulated Annealing and Mutation Operator (ASAMO) feature selection algorithm is suggested in this work. For solving the classification problem, the Fuzzy Minimal Consistent Class Subset Coverage (FMCCSC) problem is introduced. In FMCCSC, consistent subset is combined with the K-Nearest Neighbour (KNN) classifier known as FMCCSC-KNN classifier. The two data sets Dorothea and Madelon from UCI machine repository are experimented for optimal feature selection and classification. The experimental results substantiate the efficiency of proposed ASAMO with FMCCSC-KNN classifier compared to Particle Swarm Optimization (PSO) and Accelerated PSO feature selection algorithms.
Design and Implementation of RNS Filter using Modular-Multipliers

In this paper, an efficient RNS based multiply-accumulate (MAC) unit is proposed to implement residue number system (RNS) based finite impulse response filter (FIR). The proposed MAC (PMAC) approach reduces the number of adders in critical path delay. In this work, a FIR filter with PMAC approach is implemented using structural Verilog HDL language. The United Microelectronics Corporation 90 nm technology library has been used for synthesis. The performance metrics such as area, power and delay are obtained using Cadence RTL compiler. The synthesis results shows that RNS filter with PMAC improves clock frequency and reduces delay and area when compared to conventional MAC (CMAC).To compare the performance of the filters power delay product (PDP) is also considered. The PMAC architecture has improved PDP gain by 30.63% when compared to CMAC.
Metamorphism of Basic Igneous Rocks

This second edition is fully updated to include new developments in the study of metamorphism as well as enhanced features to facilitate course teaching. It integrates a systematic account of the mineralogical changes accompanying metamorphism of the major rock types with discussion of the conditions and settings in which they formed. The use of textures to understand metamorphic history and links to rock deformation are also explored. Specific chapters are devoted to rates and timescales of metamorphism and to the tectonic settings in which metamorphic belts develop. These provide a strong connection to other parts of the geology curriculum. Key thermodynamic and chemical concepts are introduced through examples which demonstrate their application and relevance. Richly illustrated in colour and featuring end-of-chapter and online exercises, this textbook is a comprehensive introduction to metamorphic rocks and processes for undergraduate students of petrology, and provides a solid basis for advanced study and research.
Language Use in Social Media and Natural Language

This research is a comparative analysis of language used in social media and natural language.Due to the increase in technological innovations over the years,the different social media platforms have adopted different language styles as a means of communication.The trend of this language style has led to different varieties of language such as acronyms, abbreviations, symbols, etc. which tend to differ from the natural discourse.This research set out to compare the pattern of communication in social media and natural language, as well as show how abbreviations, Acronyms and symbols are used in social media discourse to replace sentential constructions in natural language discourse.The differences that exist between these two language styles was alsodiscussed.The relevance of this research is to examine its linguistic characteristics and its implication to the field of linguistics as well as the cause of the variation of language among internet users which now pose a threat to natural language.The research concludes that communication on social media has shaped our face to face interaction and modes of communication are linguistically different from the other.
Using Python for Input and Output: GPIO Zero

This chapter is going to look at lights – in particular, how lights can be controlled from the Raspberry Pi. This will control some fun disco lights and projects using multi-color LEDs; these are also known as RGB LEDs or a brand you may have heard of as NeoPixels from Adafruit. In the process, you will get to learn about the most important electronic component, the transistor. You will get to use some different types of transistors to switch lights on that would need more current than the Raspberry Pi can provide.
de Silva &amp;amp; Cormier analysis

This analysis by de Silva and Cormier is a welcome addition to discussion of the relative contributions of scattering and viscoelastic relaxation to the apparent attenuation of seismic shear waves in the Earth's mantle.The heterogeneity responsible for the scattering of seismic waves is introduced by consideration of random media with a characteristic scale length of 10 km.ScS and ScSScS waveforms are computed for wave propagation in 2D through such media
References

This textbook bypasses the need for advanced mathematics by providing in-text computer code, allowing students to explore Bayesian data analysis without the calculus background normally considered a prerequisite for this material. Now, students can use the best methods without needing advanced mathematical techniques. This approach goes beyond “frequentist” concepts of p-values and null hypothesis testing, using the full power of modern probability theory to solve real-world problems. The book offers a fully self-contained course, which demonstrates analysis techniques throughout with worked examples crafted specifically for students in the behavioral and neural sciences. The book presents two general algorithms that help students solve the measurement and model selection (also called “hypothesis testing”) problems most frequently encountered in real-world applications.
The Time Equation Explaining Equations in Physics and Economics

Researchers know a little about time. If they could not find where time was, they could not study it. The objective of this study was to find where time was. Any numbers in three principal axes were used to be data. Galileo’s concept of the relationship among distance, speed, and time was used to find a position of a value of time in any number lines in a three-dimensional body. Mathematical derivative was used to prove the positions of the values of time. The investigation found that time is in all number lines including three principal axes. Also, the time equation can be used to calculate the exact position of any values of time in the line. The equation can be used to explain equations in science such as equations of Newton, Einstein, and Plank, and social science such as equations of consumption and saving in macroeconomics. If researchers use the time equation to explain N equations, then a time value can get at least N variables of N equations. The speed of calculation will increase. The equation will be used to open new characteristics about time and others because mathematicians use numbers to represent everything in nature.
Prediction of steady flow in complex geometries based on flow in simple ones using convolutional neural networks and signed distance function

We perform the prediction of flow fields with two steps in a duct from learning of ones with only one step using convolutional neural networks (CNNs) and signed distance function (SDF). We show that CNN with U-Net architecture is able to predict the flow fields with two steps. Furthermore, we find the main factor which enables the prediction of the flow fields with two steps is to use a CNN architecture without fully connected layer, from the comparison with the unpredictable network.
Ecological parade «Emerald Murygino» held by Children’s Affiliate Library in 2017–2020

The annual large-scale event, Emerald Murygino Parade, is held by Murygino Children’s Library is held to protect the natural environment of the native town. The goals, tasks, structure and the specific experience of several years are discussed; the conclusions are made, and the prospects are identified.
Detecting Real Earthquakes Using Artificial Earthquakes: On the Use of Synthetic Waveforms in Matched-Filter Earthquake Detection

©2018. American Geophysical Union. All Rights Reserved. Matched-filters are an increasingly popular tool for earthquake detection, but their reliance on a priori knowledge of the targets of interest limits their application to regions with previously documented seismicity. We explore an extension to the matched-filter method to detect earthquakes and low-frequency earthquakes on local to regional scales. We show that it is possible to increase the number of detections compared with standard energy-based methods, with low false-detection rates, using suites of synthetic waveforms as templates. We apply this to a microearthquake swarm and an aftershock sequence, and to detect low-frequency earthquakes. We also explore the sensitivity of detections to the synthetic source's location and focal mechanism. Source-receiver geometry has a first-order control on how sensitive matched-filter detectors are to variations in source location and focal mechanism, and this likely applies to detections made using both synthetic and real templates.
Linear Learning

With its intuitive yet rigorous approach to machine learning, this text provides students with the fundamental knowledge and practical tools needed to conduct research and build data-driven products. The authors prioritize geometric intuition and algorithmic thinking, and include detail on all the essential mathematical prerequisites, to offer a fresh and accessible way to learn. Practical applications are emphasized, with examples from disciplines including computer vision, natural language processing, economics, neuroscience, recommender systems, physics, and biology. Over 300 color illustrations are included and have been meticulously designed to enable an intuitive grasp of technical concepts, and over 100 in-depth coding exercises (in Python) provide a real understanding of crucial machine learning algorithms. A suite of online resources including sample code, data sets, interactive lecture slides, and a solutions manual are provided online, making this an ideal text both for graduate courses on machine learning and for individual reference and self-study.
The Reality and Prospect of School History Education, related to democratic citizenship education

This article contains the diagnosis and prospects of history education, related to democratic citizenship education in schools. Through this, I would like to propose a transition to history education that can contribute to democratic citizenship education. First, the actual situation of ‘misuse and abuse’ of democratic citizenship education in Korea has been reviewed focusing on ‘Korean history’ education since 1945. In addition, it was confirmed that democratic education existed as a ''false name'' and even misused and abused in the anti-communist nationalism and excessive nationalism in history education. To overcome this, as a multi-layered or pluralistic subject in the collective society of community, history education must be reconstructed as history of challenging citizen creating new democracy in solidarity between each citizen or among citizens. It should be a history education that contains peace, coexistence, and democratic values.
OCR finds denial of scholarship wasn't discriminatory, retaliatory

Case name : Letter to: Inter American University of Puerto Rico , No. 02‐14‐2364 (OCR 06/06/17).
Bayesian Learning

We survey work using Bayesian learning in macroeconomics, highlighting common themes and new directions. First, we present many of the common types of learning problems agents face---signal extraction problems---and trace out their effects on macro aggregates, in different strategic settings. Then we review different perspectives on how agents get their information. Models differ in their motives for information acquisition and the cost of information, or learning technology. Finally, we survey the growing literature on the data economy, where economic activity generates data and the information in data feeds back to affect economic activity.Institutional subscribers to the NBER working paper series, and residents of developing countries may download this paper without additional charge at www.nber.org.
MEDIA

Africa Research Bulletin: Political, Social and Cultural SeriesVolume 56, Issue 4 p. 22280B-22281C Social and Cultural MEDIA First published: 23 May 2019 https://doi.org/10.1111/j.1467-825X.2019.08853.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. Volume56, Issue4May 2019Pages 22280B-22281C RelatedInformation
The Effects of Blended Learning with Social Media on Smart Phone to Enhance Critical Thinking of Junior High School

This research has purpose.1) To develop a Blended Learn ing with social media on Smart Phone to enhance critical thinking for junior h igh school students 2) To co mpare the crit ical thinking of the students who study with a blended learning.3) To co mpare the achievement of students who study with the blended learning.Samp le were 32 students of Junior High School, Ban Nawer Non-Udo m School, and Bueng Kan Primary Educational Serv ice Area Office, enro lled in the first semester of the academic year 2018 by simple random sampling.The instruments of this research were 1) a blended learn ing, wh ich the efficiency of 81.25/80.63 2) a test of critical thin king entit le "Co mputer in daily" 3) a test of achieve ment entitle "Co mputer in daily".Research methodology; a one group pretest and posttest.Data analy zed with t-test.The results of this research were as fo llo ws. 1) The Blended Learn ing have the efficiency of 81.25/80.63 2) The Critical thin king after learning with blended learn ing was higher than before learning at a significance level .05. 3) The learning achievement of students after learning by using blended learning was higher than before learning at a significance level .05
Transformation of Japanese High School History Education and Reinforcement of Theme-based Learning

This paper compared the 2009 edition and the 2018 edition of Japanese high school course of study, and analyzed the reinforcement of theme-based learning in Geography and History and the change in history education thereof. The results of analysis are as follows; First, instead of abolishing the four history subjects (World History A·B, Japanese History A·B) of the 2009 edition of the high school Geography and History, the required subject, Modern and Contemporary History, and optional subjects, Advanced Japanese History and Advanced World History, were newly established. These three subjects introduce the content composition and learning method with theme-based learning as the key element. Second, while the 2009 edition described the purpose of theme-based learning as cultivating historical thinking skills as before, the 2018 edition reflects the nature of the competence-based curriculum and presents the qualities and abilities (knowledge and skills, thinking skills, judgment, expressive power, etc.) to be fostered in history subjects. Third, from the perspective of content composition, the 2009 edition relates to theme-based learning on the premise of syntactic composition as before, but the 2018 version shows a switch to a new composition that relates the entire content centering on theme-based learning, instead of syntactic composition. Fourth, in the 2009 edition, the learning method was systematized to improve learning ability and learner''s subjectivity step by step, while considering the characteristics of each subject, which was passed on to the 2018 edition too. The biggest change in the 2018 edition was to develop a new type of learning activity, connecting content composition and learning methods focusing on theme-based learning. The major items of each subject were organized in the form of unit learning with theme-based learning as an important element. In addition, the 2018 edition connected major items so that students can develop independent learning activities step by step. Fifth, the prerequisites and tasks to settle theme-based learning in the schools are; ①improvement of history textbook composition system and description method, ②changeover from teacher’s fact-delivery class to course that promotes students'' independent learning and exploratory activities, ③providing various and abundant teaching materials, ④ implementation of teachers’ training to develop skills necessary for new types of class, etc.
Successful surface water treatment

Methods that remove particles using centrifugal forces do exist as an alternative to separation dependent upon the density difference, but these are limited. However, the hydrodynamic separator developed by AquaHD is free from the limitations of conventional processes.
Data Confidentiality in Cloud using Multi-party Computation

A new era has approached where we are storing our information in cloud and performing several computations on powerful servers remotely. In cloud, data is not completely secured and sometimes under the control of untrusted Third parties. Some secured protocols are being implemented. The secure multi-party computation protocol, which is existing, demands the inputs to be encrypted using a public key. So, these reasons limit this Secure Multi-party computation to be employed. In the current paper, we put forward a protocol named homomorphic encryption where the input function is being encrypted by different key. This paper also uses Multi-party computation which is one of the most secured technique in cryptography.