Reviewerly/exHarmony huggingface dataset:
A Language-independent gender classifier for Online Social Networks

Designing gender predictor for the Online Social Network (OSN) is receiving considerable attention from the research communities of different domains. However, the gender classifiers proposed by earlier studies for social media content so far, highly rely on the language used by the users for writing the content. It implies that the prediction model trained on one language (say English) will likely fail in identifying the gender of users with other languages (for example, Spanish). The study conducted in this paper aims to identify the features from user content on an OSN, which will assist in devising a Language-Independent Gender Classifier (LIGC). The experiments are performed on the Facebook networking site. The site provides the users with the list of various personal attributes that they may or may not reveal to other users on the network. The presented work collects such information of the Facebook users and carries out rigorous feature analysis to know whether this information varies between men and women on Facebook. Furthermore, several machine learning algorithms including Random Forest, SVM, Naive Bayes, and kNN have been employed to determine the potential of the proposed feature set. Random forest approach achieves the highest value (70%) of performance metric, AUROC (Area under the Receiver Operating Characteristic). The current study is the first attempt to utilize information revelation for designing a gender identifier for OSN that is independent of the language used by the members.
Mammographic Breast Density, Microcalcifications, and Masses May be Inheritable

Given that these features are associated with breast cancer risk and could improve the detection of short-term risk of breast cancer, the authors suggested that further investigation of common loci is necessary.
A Semantic Classification of Images by Predicting Emotional Concepts from Visual Features

Classification of emotion based on the image is a trivial task and hence a challenging issue in Content-Based Image Retrieval (CBIR) technique in the framework called Emotion-Based Image Retrieval (EBIR) system. This paper discusses emotion predication system that automatically predicts the semantic meaning of human emotion and uses visual features in order to ease the process of feature extraction. The emotion-based on the image is the subjectivity which plays a major role in the image retrieval process. The main motivation of this study is to predict the human emotion from an image. In the proposed work, the color, texture and shape are used as feature concepts to predict the semantics of emotion which are related with an image and features extracted by dominant color structure descriptors for color feature extraction, homogeneous texture descriptor(edge histogram) for texture feature extraction and region-based or contour-based descriptor(shape spectrum) for the shape feature extraction. Deep convolution Neural Network (Deep CNN) is used for classification into 6 basic emotion classes like anger, disgust, fear, happiness, sadness, and surprise by using color emotion factors. For training and testing the images, real-time data such as wallpaper, textile, and painting database is used. Experimental results of approach are evaluated and compared with classifier algorithms by using the measures of precision, recall, and accuracy. The prediction system also measures the arousal, valence and dominance value in order to measure the performance of EBIR approach/system.
Implementasi Layanan Konseling dengan Methode Reinforcement Guna Meningkatkan Motivasi Belajar Pada Siswa Kelas XI IPA 3 SMAN 5 Kota Jambi Tahun Pelajaran 2014/2015

The purpose of this study is: (a) To reveal the effect of Learning Learning Method on learning motivation. (b) Want to find out how far the motivation to learn after applying the Reinforcement Learning Method. This research uses action research as much as three rounds. Each round consists of four stages, namely: design, activity and observation, reflection, and revision. The targets of this study were students of Class XI Science 3 in SMA N 5 Kota Jambi.The data analysis technique used in this study is quantitative descriptive, which is a research method that is describing the facts or facts in accordance with the data obtained with the aim to find out the learning achievements of students as well as to obtain student responses to learning activities and student activities during the learning process . This analysis is calculated using simple statistics. The data obtained in the form of formative test results, observation sheets of teaching and learning activities. From the results of analysts it was found that student achievement increased from cycle I to cycle III namely, cycle I (57%), cycle II (71%), cycle III (88%). The conclusion of this research is the Reinforcement method can positively influence the learning motivation of Grade XI students, and this learning model can be used as an alternative to Counseling Guidance.
DYNAMIC ADAPTNESS OF NATIONAL ASPECTS FOR MARITIME ENGLISH TEACHING THROUGH UNIFIED COMMUNICATION PLATFORM

Specificity of computer-mediated teaching Maritime English (ME) as a professional subject in synchronous and asynchronous modes is connected with linguistics, neurolinguistics, pragmatic and social modelling of teacher-trainer and learner-trainee behavioral variability.Coming from teaching ME to foreign students we accumulated some practical experience and investigate how phonological, lexicogrammatical, discourse, social/communicative frameworks of teaching process "face-to-face" and "on-line" modes will contribute to creating local structures of sub-language of specialty.Other words, we mean to come from contextualized to decontextualized process of teaching ME, from coding to decoding the linguistic information.We've tried to approach this position getting ready the teaching material for United Communication Platform (UCP) within limits of case-marking system.This one in our opinion is to be construed coming from the event-argument structure in static meta-system to dynamic linguistic/developing system.The effectiveness of this transition process can be defined positively when learners' language/ sublanguage acquisition will exceed the combination of their initial training state and the input.National peculiarities of pronunciation to be adjusted and mitigated in converting to ME are only the top of the iceberg.We would like to trace agents or elements of ME emergent behavior leading to self-organization and interaction in ME properly structured ways.
The Indian Energy Sector - Distributed Ledger Technology Opportunities

This paper is one of four in a series that reviews the potential application of blockchain technology in market-based instruments to improve transparency and, consequently, sustainability in the energy value chain in several jurisdictions. The research in these four papers underpins “Blockchain for Governance of Sustainability Transparency in the Global Energy Value Chain” which can be found at:https://ssrn.com/abstract=3236753.In this paper, the author considers the legal and regulatory frameworks for India. From a regulation and policy perspective, the author explores challenges and possibilities for the use of blockchain technology for market based instruments for sustainability, specifically, green certificates and white certificates. The paper also considers the application of blockchain to improve transparency at various stages of the energy value chain.
Development of QR Code-based Data Sharing Web Application using System Development Life Cycle Method

The purpose of this thesis is to study the capabilities and limitations of QR codes as a data sharing media. For this study, author has developed a web application to provide QR code management for users. The web application is implemented in a website named Quick Save which provides data storage, sharing, and QR code generator service. With this website, author can analyze problems and methods of sharing encrypted data in a quick and effective way. The encrypted data is written into the QR code which serves as a link between users and the data or file stored in the web application storage. The method that is used in this thesis study is the System Development Life Cycle method. Based the on the result of the thesis study, author concludes that the implementation of data sharing web application can provide encrypted data sharing, file storing and downloading service for user by using a QR code scanner from their mobile device. The web application has also fulfilled author’s need in researching the capabilities of QR code.
PENERAPAN METODE BERMAIN PERAN MAKRO TERHADAP KEMAMPUAN BERBICARA

Effect of role playing macro methods on children's speaking ability in group B in Nurul Rohmah Bekasi. This research is motivated by the lack of ability to speak children. This is because the method used in the learning process is more likely to use conventional methods. The selection of methods to role playing macro so that children can be motivated and interested in learning and can stimulate the ability to speak children. The population in this study were all children of group B in kindergarten Nurul Rohmah while the study sample was B3 group 11 children for the experimental group and B1 group 11 children for the control group. Data collection techniques through test techniques, and observation. Data analysis techniques used were descriptive statistical analysis and nonparametric statistical analysis. Based on the results of the Wilcoxon test calculation, the calculated T value is 66 and T table 11 then the results obtained T count (66)&gt; T table (11) H1 is accepted and Ho is rejected means that there is an effect of role playing macro methods on children's speaking ability. Whereas the calculated Z value obtained is 2.93 and 1.645 table Z then the result of Z arithmetic (2.93)&gt; Z table (1.645) H1 is accepted and Ho is rejected which means that there is an effect of role playing macro method on children's speaking ability. These results indicate that there is a change in the value of the child's speaking ability before and after getting learning based on the role playing macro method.
LibGuides: Multicultural Youth Literature: Home

A starting point for youth educators, youth librarians and parents to select high quality titles through which to explore the lives of peoples from and living all across the globe.
Variation of Manganese Oxide Textures and Geochemistry with Rock Association at the Yakau Area, Ghana

Twelve highly weathered residual oxide samples from outcrops at Yakau and Bofun near Dixcove show massive, vuggy, striations of foliation, and fibrous-banded textures.The partially oxidised primary rock identified as amphibolite garnetgneiss, which contains garnet 30%, amphiboles 35%, quartz 15% and ore minerals 5% with garnet partially replaced by recrystallised quartz and manganese minerals, mainly pyrolusite.There are manganese oxide residuals that contain quartz 20%, todorokite and pyrolusite 50%, goethite 30%, and garnet replaced by goethite.The vuggy textured residual oxide contains the highest manganese oxide (61.0 wt %), whereas the fibrous-banded type contains the least manganese oxide (1.8 wt %).It is recommended that stages of oxidation of the oxides be studied further to know the extent of maturity of oxides, which may contain higher MnO grades, as well as the textures of the oxides to be used as an additional tool for mineral exploration.Observations made from the scatter plots indicate a correlation coefficient of elements within the ores and rocks.The correlation coefficient (r) between some elements show a strong/positive correlation whereas others show a negative/weak correlation.
LibGuides: Continuity of Learning Services at Sawyer library: Research & Instruction Support

This guide provides information about the Library's online services for faculty, staff and students during the Covid-19 disruptions.
Omnes Stage Directions in Three Suspect Shakespeare Texts

Two quartos of Shakespeare plays together afford twenty-seven examples of the solecism Exit omnes: there are nine instances in Henry V (1600) and eighteen in The Merry Wives of Windsor (1602).1 Elsewhere, among substantive Shakespearean play texts, there is but a single stray occurrence—in Folio Antony and Cleopatra. We can hardly blame Shakespeare for the solecisms: his Latin was not so ‘small’ as to prevent him and the acting company for which he wrote from achieving concord between the noun and the verb of such directions on all other occasions. An obvious explanation for those in the quartos of Henry V and The Merry Wives of Windsor would draw on a theory about those texts that was once orthodox but is no longer in vogue—that they are both ‘bad quartos’, derivative, through ‘disruptive transmission’, from the Folio versions of the plays.2 Both texts were included in...
Hand Tracing Verses Digital Tracing with PACS Method

Introduction: Traditionally, cephalometric analysis has been carried out using a hand-tracing manual method.In imaging, picture archiving and communication systems (PACS) are information management systems used for the capture and measurement of medical and dental radiographs.Although not customized for lateral cephalometry, this study aimed to evaluate the cephalometric measurements made on screen with Nemoceph NX 2006 software using PACS compared with the conventional hand-tracing method.Material and methods: All the subjects were positioned in the cephalostat with the sagittal plane at right angles to the path of the X-rays and to the Frankfort plane parallel to the floor.That digital cephalogram was sent to printer via Image Dent software to print the hard copy through Laser printer and it is also transferred to the personal computer of Department of Orthodontics and Dentofacial Orthopaedics by PACS (picture archiving and communication systems) method.Results: In this study the total time taken in manual tracing is 30 min, while digital tracing takes around 35 min.So, Time taken in manual tracing is less than digital tracing that might be because only few parameters has been included in this study.The results showed no statistically significant differences in any of the assessed measurements (p> 0.05). Conclusion:Conventional and computerized methods showed consistency in all angular and linear measurements.The computer program Nemotech dental studio NX 2006 can be used reliably as an aid in diagnosing, planning, monitoring and evaluating orthodontic treatment both in clinical and research settings.
Blind Modulation Recognition in Complex Electromagnetic Environment

With the continuous development of wireless communication technology, the wireless electromagnetic environment is increasingly complex, which results in the difficulty of modulation recognition of communication signals.In this paper, combining the advantages of ResNet and DenseNet, we propose a blind modulation recognition model based on deep learning.In this model, we reduce the two-dimensional convolution neural network in ResNet into the one-dimensional convolution neural network and then embed it into DenseNet.The identity mapping of ResNet and the dense connection of DenseNet, which strengthen feature propagation and encourage feature reuse and reduce the number of parameters, make the model take full advantage of multi-layer features to improve the ability of feature extraction and reduce the computational complexity.The experimental results on the RadioML2016.10bdataset show that the recognition accuracy of the model can reach 93.7% at high SNR.
Geochemical assessment of archaeological soils from the monastic site of Nikasala Nuwara, Kurunegala, Sri Lanka

Journal of the Geological Society of Sri Lanka is a peer-reviewed and open access journal published by the Geological Society of Sri Lanka. It aims to publish the most topical and highest quality papers, summarizing the results of recent research across all sub-disciplines of the Earth Science. Papers are frequently interdisciplinary covering both pure and applied fields of Geology. Contributions often refer to local, regional and/or international studies and emphasize the development of the understanding of fundamental geological processes.
LibGuides: Continuity of Learning Services at Sawyer library: Reserve Textbook Program

This guide provides information about the Library's online services for faculty, staff and students during the Covid-19 disruptions.
Fake News Detector: FND

The idea focuses on providing the information on whether the news is real or fake and with distinguished information about the content or news headline provided by the user into the developed system.The user is a client or a customer, gets particular news or headline from any source which can be news providing application, news blog, website and social networking site; and upload the news content in the proposed system which is a web-based application.After uploading the news content or headline the user clicks the submit button which is available on the website.Then the content is processed accordingly and the metadata of the content is extracted.There are derived parameters on the basis of which calculation of news authenticity is done.The system also uses the Naive Bayes and Term Frequency-Inverse Document Frequency (TFIDF) algorithm which is used to predict the probability of different classes, based on various parameters or attributes.TFIDF i.e.Term Frequency-Inverse Document Frequency is an algorithm used to transform the text into a meaningful representation of numbers.Based upon the parameters and using the respective algorithm the news authenticity is calculated and the result is uploaded.The final result states whether the news is real or fake news and is developed upon the parameters, metadata and algorithm which simultaneously gives the respective result to the user.
Artificial and Computational Intelligence in Games: Revolutions in Computational Game AI: Report from Dagstuhl Seminar 19511

The 2016 success of Google DeepMind’s AlphaGo, which defeated the Go world champion, and its follow-up program AlphaZero, has sparked a renewed interest of the general public in computational game playing. Moreover, game researchers build upon these results to construct stronger game implementations. While there is high enthusiasm for the rapid advances to the state-of-the-art in game AI, most researchers realize that they do not suffice to solve many of the challenges in game which have been recognized for decades. The Dagstuhl Seminar 19511 Artificial and Computational Intelligence in Games: Revolutions in Computational Game AI seminar was aimed at getting a clear view on the unsolved problems in game AI, determining which problems remain outside the reach of the state-of-the-art, and coming up with novel approaches to game construction to deal with these unsolved problems. This report documents the program and its outcomes.
LibGuides: COVID-19 Resources: Textbooks

Research resources for COVID-19 List of library-owned ebooks used as texts in Spring 2020 classes.
2019 ICA Early Career Award

The International Commission for Acoustics presented its Early Career Award to Professor Jeremie Voix, the President of the Canadian Acoustical Association (CAA). This short report describes the process and collects the memories from that important moment for our association.
Introducing automatic software fault localization in a continuous integration environment

In this thesis we investigate the usefulness of neural networks to infer the relationship between co-changes of software modules and test verdicts with the goal of localizing software faults. Data ...
Study of Quality Evaluation Guidance of Innovation and Entrepreneurship Education in Universities Based on Learning Effectiveness

The innovation and entrepreneurship education reform of higher education is booming, and the quality of education needs to be tested.Starting from the origin of innovation and entrepreneurship education in universities, this paper traced its development, clarified its basic concepts, analyzed its connotation, characteristics and objectives, and then clarified its internal value and laws of quality evaluation, and established its internal guidance of quality evaluation.This paper proposes that the quality evaluation of innovation and entrepreneurship education in universities should be based on the guidance of learning effectiveness.
Infinitivmärket i östnordiska fornspråk

Infinitive clauses show substantial variation across Scandinavian languages, not least with regard to the distribution and syntactical status of the infinitive marker at. Although etymologically id ...
Library Publishing Curriculum

Review of: Educopia. (2016-2018). Library Publishing Curriculum. Retrieved from https://educopia.org/library-publishing-curriculum/. Accessed 11/30/19.
ENTORNOS DIGITALES EN LA EDUCACION INFANTIL

This article addresses the issue of digital environments in early childhood education, taking into account the positive points or in favor of it. This article was generated from a descriptive investigation, with a qualitative approach and in turn established or based on conceptual and theoretical references, which helped to observe and analyze the positive points that digital environments have today in the early childhood education.
Free Speech, Rational Deliberation, and some Truths about Lies

Could “fake news” have First Amendment value? This claim would seem to be almost frivolous given the potential for fake news to undermine two core functions of the freedom of speech – promoting democracy and facilitating the search for “truth,” as well as the corollary that to be valuable, speech must promote rational deliberation. Some would therefore claim that fake news should count as “no value” speech falling outside of the First Amendment’s reach. This Article argues somewhat counterintuitively that fake news has value because speech doctrine should not be focused exclusively on the promotion of rational deliberation, but should also limit the state’s ability to control the way we emotionally experience ideas, beliefs, and even facts. It claims that like art, music, religious expression, and other forms of human communication that do not facilitate rational deliberation in their audiences, fake news can promote a form of expressive experiential autonomy. It can allow individuals to experience individual self-realization and identify formation and also form cultural connections with like-minded people, advancing social cohesion. Drawing on First Amendment theory and on the fields of cognitive and social psychology and political science, the Article views consumers of fake news not simply as uninformed, gullible rubes, but as individuals seeking to simultaneously distinguish themselves through individualization or self-identification and group association with a community of people with whom they share values. Understood in this way, the inquiry illustrates why the rational deliberation principle is incomplete because it does not explain much of what we ought to recognize as “speech.” This more nuanced understanding of the way that fake news connects with much of its audience has implications for free speech theory, First Amendment doctrine, and policymaking options for addressing the potential harms of fake news. To be clear, this Article is not a defense of fake news or those who intentionally attempt to influence others’ behavior by spreading false facts disguised as legitimate news. Thus, the Article concludes by explaining that while fake news should always be covered by the First Amendment, it should not always be protected.