Reviewerly/exHarmony huggingface dataset:
Impact on Social Networking Sites Among the Women Undergraduate Students

The study has been used to explore the impact of social networking sites amongst the undergraduate women students. In the framework of existing digital media, social networking sites have been known as individuals, by means of the Internet and web application to converse in previously unfeasible ways. It can be predominantly effect of a culture-wide impression shift in the uses and potential of the internet itself. The objectives of the study are to ascertain the different type of social networking sites used by women undergraduate students to scrutinize the level of usage, reason of using social networking sites, to settle on the advantages of using social networking sites and to make out the dangers associated with social networking and to submit strategies to restructure such dangers. The descriptive design has been in use to get responses from a sample size of 115 women undergraduate students who were selected via random sampling techniques. The 115 respondents completed and returned the questionnaire precisely indicating 100% response rate. The outcome of the study discloses that all the women undergraduate students uses social networking sites to expand information, interaction with friends, connecting to their classmates for online study, discussing serious national issues and watching movies etc. There are many advantages of using social networking sites and their menaces combined with social networking and such dangers can be restructured using the strategies available in the work. From the findings, it was recommended that women undergraduate students should attend various awareness program to update on the negative aspects of social networking sites etc. Based on the findings suitable suggestions were also made
Comment on linear data-fitting methods

Fitting the best straight line through experimental points is a common practice performed with a standard methodology. However, as it is commented about on this paper, there is more than one useful method to compute the best line.
Markov Random Field Based Color Texture Segmentation

Texture segmentation is one of the popular research domains and researchers across the globe are working on texture segmentation to enhance segmentation performance to address its requirements in many fields. Color texture segmentation has wide spectrum of applications in diverse fields such as segmentation of natural images, medical image analysis, remote sensing, shape extraction and inspection of products etc. This paper presents color texture segmentation algorithm which can satisfy requirements for such applications. Proposed algorithm is based on Markov Random Field (MRF) model eliminating the need of major contributor viz. Gabor filter used in past four decades for feature extraction and use only color as texture feature. Highly crude segmentation results are produced using only color as texture features. Crude segmentation results are enhanced by using Median filter with enlarged window size quantitatively determined by using parameters viz. structural similarity index (SSIM), mean square error (MSE) and peak signal to noise ratio (PSNR). Feature space dimensions are reduced by factor of 11 in proposed approach and this reduced computations by a factor of 11. The experimentation is carried out on 80 multi-class color texture benchmark images from Prague texture segmentation dataset and 4 benchmark images in Vistex dataset. Mean segmentation accuracy achieved for Prague texture dataset is 87.55% and it is higher by 9.82% over the best performing algorithm among 11 state-of-art algorithms suggested in most recent literature. Accuracy achieved for Vistex dataset is 98.21%. Average SSIM for Prague dataset is 0.91403 and Vistex dataset is 0.9405.
DIFFICULTIES IN WRITING ESSAYS OF ENGLISH MAJORED SOPHOMORES AT TAY DO UNIVERSITY, VIETNAM

Writing skill is an important part of communication, which helps people express ideas, experiences, and feeling exactly. Good writing skill allows them to communicate their message with clarity and ease to a far larger audience than through face-to-face or telephone conversations. However, students often face some difficulties when writing. This survey research presents the process of the study of “Difficulties in writing essays of English majored sophomores at Tay Do University”. It was conducted to find out some difficulties in learning writing of 53 sophomores from 12A and 12B classes at Tay Do University. The questionnaire, interview questions, and essay samples were instruments of this research. The results showed that sophomores had many difficulties in writing essays such as vocabulary, grammar structures, idea arrangement, background knowledge, and others. Basing on the research results, students could recognize their difficulties and find ways to overcome them.&#x0D; &#x0D; &lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt; Article visualizations:&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="/-counters-/edu_01/0722/a.php" alt="Hit counter" /&gt;&lt;/p&gt;
Vision

In this chapter, we will summarize the LE Audio One Architecture concepts which were reviewed in the previous chapters and show how the LE Audio One Architecture may work together to achieve various use cases.
<em>C&RL</em> Spotlight

As we ring in the new year, it is an opportune time to consider the work that we all do, celebrate it, and reflect on it—particularly those best practices and innovations in the profession that may further the trajectory and impact of our work.As we talk about librarianship and the work of academic libraries and librarians, we often point to best practices, case studies, and lessons learned. Far beyond the “how we done it good” article, they help identify excellence and innovation as well as provide a clear line of sight between research and its application. College &amp; Research Libraries and College &amp; Research Libraries News are flip sides of that coin. C&amp;RL News focuses primarily on practice from a personal and institutional experience perspective, including innovative projects, enhanced services, collaborations across campus, best practices in teaching, and new applications of technology. The day-to-day tip of the iceberg of librarianship in practice, so to speak.
Cover

Meteoritics & Planetary ScienceVolume 54, Issue 7 p. i-i CoverFree Access Cover First published: 01 July 2019 https://doi.org/10.1111/maps.13160AboutPDF 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 Graphical Abstract Volume54, Issue7July 2019Pages i-i RelatedInformation
Stability analysis of SEIR model using non-newborn vaccination and cost effective treatment

This study focused on the modification and probation of a Susceptible-Exposed-Infected-Recovered (SEIR) model for non-newborn vaccination and cost effective treatment. The system of differential equations has been derived from SEIR model to creates a bond between susceptible S, infected I, exposed E and recovered E participants for understanding the spread out of contagious diseases. Further, the local stabilities of both disease free equilibrium points and endemic equilibrium points were found stable at epidemic conditions i.e. epidemic (R0 > 1) and no epidemic (R0 ≤ 1). In addition, numerical simulation has been performed to investigate the proposed model at regular set of values of parameters. Moreover, our vaccination target is only non-newborn individuals to protect the population without effecting the economy of country.
Truncating Bar Graphs Persistently Misleads Viewers

In press: https://doi.org/10.1016/j.jarmac.2020.10.002 Data visualizations and graphs are increasingly common in both scientific and mass media settings. While graphs are useful tools for communicating patterns in data, they also have the potential to mislead viewers. In five studies, we provide empirical evidence that y-axis truncation leads viewers to perceive illustrated differences as larger (i.e., a truncation effect). This effect persisted after viewers were taught about the effects of y-axis truncation and was robust across participants, with 83.5% of participants across all 5 studies showing a truncation effect. We also found that individual differences in graph literacy failed to predict the size of individuals’ truncation effects. PhD students in both quantitative fields and the humanities were susceptible to the truncation effect, but quantitative PhD students were slightly more resistant when no warning about truncated axes was provided. We discuss the implications of these results for the underlying mechanisms and make practical recommendations for training critical consumers and creators of graphs.
A Smart Cryptographic measure for Data Survivability in Unattended Wireless Sensor Networks

An Unattended Wireless Sensor Network (UWSN) wherein a sporadically visiting sink tries to collect data absorbed by the motes. This setup is most suitable in hostile environments where the collected valuable data becomes the target for a mobile adversary. Unattended sensors cannot instantly transmit collected data to some safe external entity. Though there is an intermittent visit by the sink, a powerful mobile adversary can easily compromise the valuable data collected by sensor nodes between the intervals. Therefore, the data needs to be preserved to be handed over to the sink in its next visit. This property of unattended WSN is called as Data Survivability. We propose a symmetric key cryptosystem that tackles sensor collected data erasure, modification, or disclosure as a support for data survivability in UWSNs. The proposed model has been designed using Linear Feedback Shift Registers (LFSRs) embodied with less power dissipation mechanism that operates on mask method. This is critical to any application running in unattended environments. We have compared our design with other standard works and have substantially proved the trustworthiness. Our work has been assessed using NIST test suite and found reliable.
Grappling With Facts

Learning Law is an indispensable guide for students beginning their law studies. It provides the foundational knowledge and skills required for the study and practice of law, and also instils in students a passion and excitement for the law. This text challenges students' traditional notions of the law and encourages them to think critically. Each chapter is supported by tools for self-assessment and self-reflection: review questions to revise complex concepts; 'Alternative Voices' breakout boxes, which provide a different perspective on each topic; and case studies, which illustrate how law qualifications can be applied in various settings, from traditional law firms to government and academia. Learning Law is written in an engaging and accessible style designed to demystify the law. This text is an essential and comprehensive resource that can be carried as a practical reference throughout a student's law studies.
Entropy Based Identification of Fake Profiles in Social Network

Cyberbullying is a felonious act carried out against the victim by sending harassing/ embarrassing/ abusing information online. Normally offenders create fake profiles in order to hide their identity for unscrupulous activities. Assuming a fake identity is very harmful as the real picture of the offender is not visible, and also it can become difficult to entrap them. Sometimes, some trustworthy friends can also take advantage of the fake identity in order to harm the victim. Culprits can reveal victim's personal information like financial details, personal history, family, etc., and along with it, he can harass, threaten or blackmail the victim using fake profiles and permeates that information on the social network. So, it is necessary to resolve this issue. In this article, the authors used the concept of entropy and cross entropy to identify fake profiles as entropy works on the degree of uncertainty. Also, this article shows the comparison of proposed method with the existing classifiers.
Tell me what's underneath! Using a model to investigate core sampling methodology with secondary school students

&amp;lt;p&amp;gt;What is under our feet? How can we study something that we cannot directly see? How can we reconstruct Earth&amp;amp;#8217;s history?&amp;lt;br&amp;gt;To find answers to these interesting questions scientists developed different methodologies to investigate soil, rock formations, as well as the deeper structure of Earth&amp;amp;#8217;s interior. The same questions can be used as a starting point for many teaching activities.&amp;lt;br&amp;gt;In the teaching activity we experimented with 11-12 years old students in a Secondary School in Italy, we used a model made with inexpensive materials to discover core sampling, one of the methodologies used by geologists to investigate the outermost part of our planet and gather important information to reconstruct Earth&amp;amp;#8217;s history.&amp;amp;#160;&amp;lt;br&amp;gt;One of the aims of the teaching sequence is to make students understand the work of geologists and how they can discover what happened in the past by studying rocks. These activities are also a way to help students to develop important skills such as formulating hypotheses, carrying on investigations and using data to validate a hypothesis.&amp;lt;br&amp;gt;In this poster I present the activities and discuss some observations on students' drawings and descriptions, collected during the learning sequence to better understand students&amp;amp;#8217; learning process and the learning outcomes.&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;amp;#160;&amp;lt;/p&amp;gt;
Impactos positivos y negativo de los MOOC y Webinars en tiempos de COVID-19 Ecuador

Given the current situation, the MOOCs courses and the web weekly webinars from March 2020, have become the main trend in virtual education as a phenomenon that has caused a very broad effect and a great impact for the training and cultural enrichment of the human beings and have opened the doors for new products and services for the use of society, and have witnessed how people have adapted to the quarantine caused by the epidemic of the coronavirus of severe acute respiratory syndrome (SARS-CoV), COVID -19. The search for the information was carried out through the official websites of the universities and metasearch engines, Google and Google academic, articles from scientific magazines, and reliable newspapers, to find out what is the fundamental role that MOOCs and weekly courses have had. Web Webinars in quarantine time, and the positive and negative impact they have caused in these times.
Visual Cryptography Based Authentication Technique for Cloud Environment using SVD Factorization

World is going toward digitalization and cloud computing plays an important role to connect digital devices for communication with each other. Communication with authentic device and secure its illegal access is the main feature of cloud providers. With the growth of cloud technologies attackers are also finding different attack vectors to break down the cloud authentication system. Previous research illustrates that there is need to develop strong authentication technique to strengthen the trust on cloud systems. This paper demonstrated a visual cryptographic authentication technique for cloud environment. The technique is based on the SVD factorization method. SVD works effectively to create multiple shares of an image and make strong authentication algorithm on the basis of random image feature selection. Result analysis shows that SVD factorization works effectively rather than LU factorization in cloud environment.
GUI Based Execution of Discourse Upgrade System

Discourse, being a key method for correspondence, has been inserted in different applications. In numerous unavoidable circumstances, we are rendered vulnerable attempting to conclude the understandability of the discourse and this is the place Speech improving strategy i.e. evacuation of undesirable foundation commotion, comes into picture. In this paper, an endeavor has been made towards contemplating Speech Enhancement methods, for example, Spectral Subtraction, Minimum Mean Square Error (MMSE), Kalman and Wiener channel. In view of our perceptions and investigation of different execution parameters, we finish up which of the strategies is most reasonable for discourse improvement. The usage of the code for different channels is finished utilizing.
BUILDING A FRAMEWORK FOR INTERPRETING MOLYBDENUM ISOTOPE RATIOS IN ORE DEPOSITS

Molybdenum (Mo) is a metal with a role in our daily lives and has many essential industrial uses. It is used as a lubricant and a steel alloying agent, which improves its strength and resistance to corrosion and heat. The behavior of molybdenum in low temperature environments has been extensively studied, however little work has focused on its behavior in high temperature environments like magmas and their associated systems. Outstanding questions include: What is the source of molybdenum in ore deposits, and how is it transported in geologic fluids? This research will analyze and compare Mo and sulfur (S) isotope ratios in molybdenite samples from a variety of ore deposit types including porphyry, epithermal, skarn, and metamorphic systems. Since each type of deposit is formed by the combination of specific geologic processes and conditions (e.g., temperature, redox), we can analyze Mo and S isotopes in molybdenite to characterize variations between ore deposit types. Preliminary samples come from seven locales and represent all four targeted deposit types. The pairing of Mo and S stable isotopes will determine if Mo isotopes and/or Mo-S isotope pairs is a useful geochemical tool to illuminate the geological origin (fluid versus melt; conditions) of molybdenite ore. Such a detailed dataset will provide a framework for this novel geochemical approach to understanding Mo-rich ore deposits.
Mirror World Simulation in Pediatric Surgery

Objective: To create contents that allow students to be experienced in 3D with 360-degree video and 3-dimensional scenes in a real environment for student/assistant training and distance online medicine education. Method: The 360 degree video recordings were made with Samsung Gear 360 in three different areas: Classroom, Operating Room and Case Meeting in the medical school. A 3D scene was designed with Autodesk 3dsMax. 360-degree videos and 3D scene were combined in Unity program. The Augmented Reality (AR) application was developed within the Unity and the mobile application was tested by different users. AR experience is now available with the mobile application. Results: As part of this study, three 360-degree videos were recorded and the augmented reality mobile application was developed. Conclusion: In this study, the pilot study was completed by producing content with 360-degree videos and augmented reality technology for use in medical education. We plan to investigate the eficacy of these mirror world contents to medical education with further studies.
Digital Literacy of College Students of Buddhist Religious

The study aims to describe the level of understanding of digital literacy of college students' Religious Buddha (PTKB) as well as how it forms digital literacy of the students in PTKB Indonesian. This research is descriptive research with quantitative approach. PTKB students who are active on the semester goes into the subject in research totalled 357 people. Determination of samples conducted through random sampling technique with the sampling area. The object of research is the understanding of digital literacy students. Understanding digital literacy of the students is a variable in the study, which measured through dimensional digital literacy competencies the internet searching, hypertextual navigation, content evaluation, and knowledge assembly. Data collection is done by a non test technique using a questionnaire with Likert scale classification four. Testing instruments is done with test validity and reliability. Technique of data analysis with descriptive statistical techniques using the mean values (mean) and standard deviation to determine this level of understanding digital literacy into high, medium, and low. The percentage level of understanding digital literacy gained by dividing the total value of the respondent's answer to the total value of the maximum answer research instrument, then do the percentages by multiply with 100. Results of the study concluded the level of understanding of digital literacy of PTKB students 67.86% with each students understanding of category 14% high, 75% medium and low categories of 15%. Level of understanding digital literacy student PTKB seen through the dimensions of internet searching of 75.85%, hypertextual navigation of 62,40%, content evaluation of 65.86%, and level of understanding of digital literacy of students seen from PTKB dimensions of knowledge assembly of 67.95%.
Grammatical and lexical errors of japanese sentence essay of STIKES Medistra Lubuk Pakam nurses as apprentices to Japan

This paper aims to analyze Japanese grammatical and lexical errors in written languages. This study involved 45 nurses from the School of Health Sciences as apprentices to Japan with a 180-word Japanese essay sample based on the Language error definition of Corder (1981) and Weinreich's interference definition (1970). In the process of switching Indonesian into Japanese, errors always occur as they speak. Language learners simply move the grammar rules of Indonesian language into Japanese without thinking about the rules that exist in Japanese. Translating from Indonesian into Japanese, interference is the most powerful factor. When learning Japanese, Indonesian as a mother tongue (B1) is always disruptive, Indonesian language has an influence on grammatical and lexical errors of Japanese written by STIKES nurse of Medistra Lubuk Pakam as apprentices to Japan. Errors made by nurses based on linguistic categories were 33.66% errors in the morphology field, 23.38% syntactic errors and 42.96% errors in the lexical field. Error occurred due to negative transfer.
Dual Axis Solar Tracker with Weather Sensor

This paper presents the outline and execution of simple, easy and cheaper automatic dual axis solar tracking system using Arduino UNO as the control element and light detecting sensors (LDRS) as the sensing element. This project involves advanced level of technology to capture maximum amount of energy using sun’s radiations. The main purpose is to increase the efficiency of tracking system which can rotate in all four directions continuously according to intensity of radiations and for energy conversion. In this, the voltage from panel is calculated from time to time in an interval of 1hr and this voltage is used to sense the weather conditions and display the climatic temperatures
Formation of the information space of the new generation of Russia: media educational practices

The author analyzes the problems of humanitarian education and upbringing of the younger generation, which are necessary to ensure Russia's national security in the 21st century, the transformation of communication mechanisms of children and adolescents at the present stage; Successful media educational projects and media technologies forming a new information space are considered.