Reviewerly/exHarmony huggingface dataset:
Divisions of geologic time (Bookmark)

First posted May 3, 2012 Revised March 27, 2020 For additional information, contact: Youth & Education in Science (YES)U.S. Geological SurveyNational Center, Mail Stop 91112201 Sunrise Valley DriveReston, VA 20192 This bookmark presents information that is widely sought by educators and students. This bookmark is adapted from the more detailed U.S. Geological Survey Fact Sheet 2018–3054, “Divisions of Geologic Time,” prepared by the U.S. Geological Survey Geologic Names Committee in cooperation with the Association of American State Geologists. The fact sheet and the bookmark contain names of geologic time periods and boundary age estimates ratified by the International Commission on Stratigraphy in 2018.
Generation Of Numerous S-Box for Advanced Encryption Standard

Substitution box is the non-linear part in Symmetric Encryption Algorithm. It gives the various alternate methods for the construction of S-Box by taking AES Substitution Box as base or modified version of AES S-Box. Hence it is proving that either AES S-box or modified version such as Gray S-Box, S8 S-Box is also satisfying the important parameters of S-Box such as nonlinearity, SAC, Bit Independence Criterion, Diffusion Strength, Differential Approximation probability while we are encrypting both the text and image
Text Polarity Detection using Multiple Supervised Machine Learning Algorithms

Sentiment analysis is the classifying of a review, opinion or a statement into categories, which brings clarity about specific sentiments of customers or the concerned group to businesses and developers. These categorized data are very critical to the development of businesses and understanding the public opinion. The need for accurate opinion and large-scale sentiment analysis on social media platforms is growing day by day. In this paper, a number of machine learning algorithms are trained and applied on twitter datasets and their respective accuracies are determined separately on different polarities of data, thereby giving a glimpse to which algorithm works best and which works worst..
Introduction to the Minitrack on Security and Privacy Challenges for Healthcare

From a patient standpoint, security and privacy in healthcare is expected.While the regulation is addressing the overarching issues of security and privacy in relation to one's personal health data, challenges in keeping up with technology development, implementing rules and regulations from various regions, and creating safeguard mechanism against cyberattacks are still persist.This minitrack serves as an outlet for concerns, recommendations, and progress reports for advances in relation to security and privacy in healthcare.
Produkte: Vakuum in Forschung und Praxis 6/2019

Vakuum in Forschung und PraxisVolume 31, Issue 6 p. 10-11 Magazin Produkte: Vakuum in Forschung und Praxis 6/2019 First published: 02 December 2019 https://doi.org/10.1002/vipr.201970603AboutPDF 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. Volume31, Issue6Special Issue: Superlative der VakuumtechnikDecember 2019Pages 10-11 RelatedInformation
Identification of the physio-chemical processes controlling the composition of groundwater at Wadi El Tumilat area, East Nile Delta, Egypt

Wadi El Tumilat is located to the northeast of Cairo and to the west of Ismailia City.The Quaternary deposits represent the main water-bearing formation at depths range from 5 to 70 m.The aquifer matrix is built up from fluviatile and fluviomarine graded sand and gravel with clay intercalations of limited extension.It rests directly with unconformity surface on the Miocene hard limestone.This aquifer is recharged mainly from surface water system especially Ismailia and El Manaief canals and to less extent from the upward leakage from the Miocene aquifer at the southern part of the study area.The connection between the two aquifers is highly controlled by the presence of deep-seated faults.The groundwater extracted from the Quaternary aquifer is mainly fresh to brackish (TDS= 194.7 to 4916.4 mg/l), while only 10% of samples are saline (TDS=5380 to 6407.6 mg/l).The main objective of the present study is to delineate the main hydrogeochemical and hydrological processes affecting groundwater quality using the conventional geochemical tools and multivariate statistical techniques.Box plots are also used to show the content and distribution of major constituents in the investigated groundwater.The ionic ratios and statistical analyses showed that ion exchange (mainly of reverse type), silicate weathering, evaporation and mixing with surface water and/or Miocene groundwater are the main dominant processes controlling the groundwater quality of the Quaternary aquifer at Wadi El Tumilat area.Future study of the hydrogeochemistry of this aquifer will consider the quantitative assessment of the prevailing hydrogeochemical processes especially evaporation and mixing using appropriate geochemical modeling technique.
A Method of Electricity Meter LCD Screen Defect Detecting Based on Convolutional Neural Network

In order to quickly and accurately detect the display defects of electric meter LCD screen, this paper proposed an electric meter LCD screen defect detecting method based on convolutional neural network (CNN). First, a horizontal straight line of LCD screen frame is found by LSD line detection method for tilt correction. Second, the LCD area is positioned by normalized correlation matching of the corrected image. Then, the accurate positions of the meter characters are located by the characters position information generated by a template annotation tool. Finally, a CNN is used to perform character defect detecting and OCR recognizing on the segmented meter characters. The experimental results show that the accuracy of the method of positioning and detecting the LCD screen characters is about 99%. At the same time, the CNN has an OCR recognition function, which can accurately identify the meter LCD screen characters.
Introduction

This book addresses the full set of questions that arise when attempting to exploit comparable corpora to overcome the bottleneck of insufficient parallel corpora that affects any data-driven machine translation approach, particularly in relation to under-resourced languages and narrow domains. It describes methods and tools for identifying and assessing comparability, for gathering comparable corpora from the Web, for extracting translation equivalents from within comparable texts and discusses the evaluation of this pipeline of methods and tools by incorporating their outputs into a machine translation system and assessing its performance in real application settings.
A Tree-Adaptation Mechanism for Covariate and Concept Drift

Although Machine Learning algorithms are solving tasks of ever-increasing complexity, gathering data and building training sets remains an error prone, costly, and difficult problem. However, reusing knowledge from related previously-solved tasks enables reducing the amount of data required to learn a new task. We here propose a method for reusing a tree-based model learned in a source task with abundant data in a target task with scarce data. We perform an empirical evaluation showing that our method is useful, especially in scenarios where the labels are unavailable in the target task.
A Lightweight Block Cipher Implementation in the Resource – Constrained Internet of Things

The lightweight block ciphers are created for the resource-constrained Internet of Things (IoT).Hence, their implementations on software and/or hardware should augment the resource application.Thus, this study investigates the implementation of the modified Speck on two Arduino platforms to determine its performance on software and hardware separately.Through the analysis and comparison of experimental data results, it was found out that the ModSpeck has 0.25% higher statistical test compared to NIST standard accepted success rate and only 4% slower than its original cipher due to the employment of key derivation function in terms of software implementation.On its hardware performance tests, it uses only 50% more energy and consumes only 1.8% more memory as compared to selected lightweight algorithms.Its randomness exhibits good competitiveness in various aspects such as high throughput, low energy consumption and remarkable figure of merit.
Collaborative web extensions: a P2P approach

Web extensions are powerful software artifacts that allow end-users to adapt and enrich a website. These extensions run on the user's web browser as a single-user software that manipulates available third-party web contents. Many of them offer some collaborative features that depend on a web application. The need of two co-depending software artifacts (the web application as back-end and the web extensions as front-end) increases complexity, making the system harder to develop and maintain. In this paper we tackle this problem by proposing a P2P approach to build collaborative web extensions. The approach involves a middleware and a framework. On the one hand, the middleware serves to manage the resources offered by the browser so multiple P2P extensions can coexist. It ensures that the overall performance of the browser is not degraded by the collaborative web extension. On the other hand, the proposed framework is intended to allow developers without experience in P2P to create collaborative web extensions on top of the middleware. This paper discusses the main challenges of building P2P web extensions, presents the approach, and two case studies focused on the use of the framework for inexperienced developers.
Persona

In my own life I’ve worn several masks: flower child hippie, rebel, cook, mother, analyst. In recent dreams I’m standing naked in a new phase of identity as a woman growing older in a culture that is looking for new forms.
DIAGNOSIS AND EVALUATION OF E-LEARNING QUALITY DIMENSIONS: AN EXPLORATORY STUDY

The aim of this study is to diagnose and evaluate e-learning quality dimensions (content, accessibility, quality of system used, evaluation, and feedback) from the students prospective in Iraqi institutes and universities after the e-learning system was implemented due to the emergence of the Corona pandemic (covid-19) at the beginning of 2020. The study is based on the following question: Are the dimensions of e-learning quality available in Iraq? Knowing the answer to this question is considered a contribution of the current study because there are no previous studies that addressed the topic. The theoretical part of the research relied on articles that have been published in high-quality journals. As for the data of the practical part, it was obtained through the electronic questionnaire. The number of received forms reached (1016) forms. The study reached a conclusion that the weak implementation of e-learning quality dimensions in Iraqi higher education institutions. The study recommended Iraqi higher education institutions pay more attention to all dimensions of e-learning.
Blur Detection and Classification using Dnn

The main goal of blur detection and classification of images using DNN with tensorflow and Keras network. It is to detect and classify an image with natural blur, artificial blur and distorted. As this paper has been a survey and an algorithm has been proposed and implemented, so has to detect and classify accordingly. The proposed algorithm has been implemented and its accuracy has been increased as compared to the existing model of classifying images.
THE EFFECT OF THE USE OF COMPUTER HELPFUL LEARNING MEDIA ON THE RESULTS OF LEARNING THEMES OF EVENTS IN LIVING CLASS V SD

The purpose of this research is to know the effect of the use of computer assisted learning media on the learning outcomes of event themes in the lives of Class V elementary school students. This study uses an experimental method with bound variables (Y) is the result of learning the theme of events in the lives of students of class V SD, and the independent variable (X) is the use of computer-assisted learning media. The research was conducted at SD Negeri 2 Tataaran in October 2018. Learning outcomes data were analyzed using the t test, but previously tested normality and homogeneity as a prerequisite test. The results of this study conclude that there is an influence of the use of computer assisted learning media on learning outcomes of students in Class V SD which causes differences in achievement of learning outcomes, where the results of the theme "events in life" groups of students who use computer assisted learning media are higher than groups of students who do not use computer-assisted learning media.
Efficient Computational linguistics Framework for Concept Drift Detection

Semantic drift is a common problem in iterative information extraction. Unsupervised bagging and incorporated distributional similarity is used to reduce the difficulty of semantic drift in iterative bootstrapping algorithms, particularly when extracting large semantic lexicons. Compared to previous approaches which usually incur substantial loss in recall, DP-based cleaning method can effectively clean a large proportion of semantic drift errors while keeping a high recall.
Social Media Data Analysis using Recommendation Algorithms

Recommender frameworks (RSs) are utilized in application areas to help clients in the quest for their preferred items .Recommender system filters information which takes users ratings and predict user preferences in ecommerce and other categorical websites. We examine individual proposal dependent on client inclinations and search the neighbors through the client inclinations. It generates recommendations based on implicit feedback or explicit feedback. Implicit feedback is based on analysis of browsing patterns of the user. Express criticism is produced from the appraisals given by the client. All the more extensively tended to was the subject of AI's calculations, centered around separating calculations dependent on the clients or questions, and dependent on substance.
A normative set of criteria to increase political competence through Voting Advice Applications

This paper argues that current voting advice applications (VAAs) do not sufficiently fulfil their stated aim of increasing voters' political competence. First, we define four criteria to evaluate whether their methods are likely to increase political competence: informativeness, respect for users' way of comparing and aggregating policy issues, reliability, and transparency. Second, we argue that current VAAs compare and aggregate users' and parties' policy preferences following a weak method that fails in two of them. To prove it, we analyse the methodology of most currents VAAs and use the outcomes from the EU-Vox 2014 in several countries. Third, we discuss two possibilities by which VAAs could improve: (1) by using ex-ante survey data to fill their gaps, or (2) by creating a learning algorithm to adapt the VAA to users' preferences. We found that some changes need to be made if VAAs aim to have an impact on users' political competence.
Securing Academic Record using Blockchain with Hyper ledger Fabric

Student records (SR) havetobe stable and safe from the third parties. Theblockchain could guarantee safety, privilege, transparency and also provides access control.Despiteof having a scalable architecture in Hyperledgerfabric Block chainthere are various factors which affects the performance of the system and causes latency. Addedto that it could also not provide better indexing capability.In this proposed system, astorage structure is created which could provide better access time. Initially, ablock of desired size is created, basedon the configuring parameter this reduces the latency.Next,themetadata of the SR block is duplicated on an off-chain database to overcome the disadvantage of indexing capacity and latency .SR data will be transparent and could beaccessed at less time using less manpower and time.
POST-SECULAR VIEW ON ETHICAL DISCOURSE OF TECHNOSCIENCE

The teleology of the study is associated with the emergence of new theoretical perspectives in the field of dialogue between science and religion.There was a rethinking of the theory of secularity and the formation of a post-secular concept in late 20th-century science.Religion, after a long stay on the cultural periphery, became relevant again in the global discursive field.The importance of the dialogue between religion and science is to maintain a balance between the values of the religious and secular segments of the axiosphere of culture, as well as their synchronization.The current problem is the involvement of the part of a science called «technoscience» in the communication.Everything literally depends on it.The ethical discourse of technoscience has not yet been formed, which is of concern to members of the intellectual community of Western Europe.Post-secularism as a new form of interaction between science and socio-humanitarian knowledge gives hope for revealing hidden problems and resolving outdated contradictions.The article conceptualizes the interdisciplinary dynamics of the correlation of secular and post-secular in the modern axiosphere of Western European culture by comparing symbolic images of science and religion: the heroes of Mary Shelley's novel «Frankenstein, or Modern Prometheus» -Victor Frankenstein and Demon, and the Gospel -Jesus Christ and Lazarus.The study uses general scientific methods of analysis, synthesis, modeling, comparison, abstraction, and special methods of axiology, sociology, ethics, religious studies.The author concludes that the detachment of science from moral and religious discourse casts doubt on its viability, that the main purpose of communication between science and religion is the exchange of experience, that the results of dialogue between science and religion can help solve many problems today.
The Effective method on Fuzzy with Steganography

Various computational analyst would agree that, had it not been for ambimorphic symmetries, the headway of the transistor that would consider moreover contemplate into voice-over-IP may never have occurred. Given the present status of cacheable models, structure managers urgently need the improvement of RAID, which embodies the realistic norms of electrical structure. JugalDown, our new heuristic for setting free sentence structure, is the response for these issues [1].
Graphical Password by Image Segmentation

In our paper we proposed a new method of a password by DES Algorithm, to arrange a picture in the desired manner. This is based on a technique in which coordinates of the segmented image allows the image to be fragmented and store it in different parts.The fragments of the image are converted into a grid and stores each part accordingly in order. The idea of the paper is to give access only if the image is arranged correctly.
Comments on Chatzidiakou et al.

Comments on Chatzidiakou et al. (submitted) Characterising low-cost sensors in highly portable platforms to quantify personal exposure in diverse environments General comments: This manuscript describes an innovative and useful development for air pollution exposure assessment using novel miniature automated gas & particle sensor systems.The manuscript represents an important addition to the literature in this field on a topic that is of considerable international public health concern.Strengths of the study include the novelty and numbers of instruments evaluated; and the diversity of field evaluation environments studied.Improvements could be made to the manuscript to address possible issues related
Creating User Interfaces

Interface Builder enables iOS developers to easily create their user interfaces using a powerful graphical user interface. It provides the ability to build user interfaces by simply dragging objects from Interface Builder’s library to the editor.
Transmogrified Imputation Algorithm for Clustering Data in Missing Data Imputation

This research article proposes to implement transmogrification process in the Imputation procedures to overcome the challenges in missing values. Appropriate data pre-processing methods and clustering mechanisms in data mining plays significant role to ensure good quality of data. The data pre-processing tasks include identification of outliers, smoothening noisy data and overcoming inconsistent data. Issues related to data incompleteness, still remains a challenge to many researchers. The transmogrified method uses mathematical approach and cluster based Imputation Algorithm for missing data imputation. The IBM Log data set and Sonar data set were used to demonstrate the performance of the proposed method. The proposed algorithm is evaluated by extensive experiments and comparison with KNNI -Imputation with K-Nearest Neighbor, MSC-Imputation with Mean-shift Clustering, AHC-Agglomerative Hierarchical clustering, EM-GMM-Expectation -Maximization Clustering using Gaussian Mixture Models and Naïve Bayesian Model. The results showed that the proposed algorithm has better performance than the existing imputation algorithms in terms of classification accuracy.
A novel method for super resolution image reconstruction

The paper proposes a technique for reconstruction of high resolution images based on surveying adjustment. The concept proposed in this technique is, an observation model defined for the sequence of low resolution images based on the observation equation proposed for the super-resolution image reconstruction. The observation equations are applied by the surveying adjustments in order to predict the grey function. The quantitative analysis of proposed technique is performed on assumed image data and real time image data. Efficiency assessment parameters like peak signal to noise ratio and sharpness index are used to analyse the performance of proposed technique with other latest techniques. In both the cases of experiments, i.e., assumed data and real time data the proposed reconstruction technique of surveying adjustment is found to be highly effective which is needed for various applications like satellite imaging, medical imaging diagnosis, military surveillance etc.
Ensino na pandemia: decisões do Instituto Federal de Roraima para o Curso Técnico em Enfermagem

Objective : to analyze the decision-making of the Federal Institute of Roraima, during the first semester of 2020, in face of the pandemic of COVID-19 and possible impacts on the teaching of the content pertinent to the Technical Course in Nursing. Method : qualitative research, performed with the aid of the MAXQDA software, which analyzed normative documents issued by the educational institution and which used Bardin's analysis to categorize the keys of meaning. Result s: The ordinances have strong administrative components based on the law that governs the federal public service, as well as the humanist aspect. Conclusion: the emergency actions were thought and developed to offer the continuity of a strong, consistent and safe teaching, in the midst of the COVID-19 pandemic.