Reviewerly/exHarmony huggingface dataset:
The Effects of AENM Based Visual Aids in Learning Polysemous Verbs

AENM is a connectionist model of polysemy with the basic notion that metonymy is a primary source of meaning extension. Based on its mechanism, AENM suggests that providing visual aids illustrating accompanied experiences motivating an extension of a word meaning facilitates the learning of its extended meaning in L2 contexts. To verify this assumption, this study employed PsychoPy3 software to keep track of a threefold experiment that evaluates learners’ improvements in knowledge, processing speed, and self-efficacy. The significant improvements of the VA(Visual Aids) group in the posttest seem to indicate that instructional treatment indeed facilitates the learning of the polysemous verbs for KFL students. The comparison of mean reaction time and self-efficacy of the VA and NVA groups as well shows that AENM-based visual aids are helpful for learning L2 polysemous verbs. Converging evidence from the threefold experimental domains confirms that using AENM-based visual aids is an effective way to facillitate learning polysemous verbs in L2 learning contexts.
Research Guides: The Open Science Framework (OSF) at Virginia Tech: What is ORCID?

This libguide introduces you to the free research management platform, the Open Science Framework. To access OSF, visit https://osf.io/institutions/vt/
Book Review: The trace-fossil record of major evolutionary events.

Book Review: M. Gabriela M&aacute;ngano &amp; Luis A. Buatois (eds) (two volumes). 2016. The trace-fossil record of major evolutionary events. Volume 1: Precambrian and Paleozoic. Springer. Topics in Geobiology, 39, 358 pp. (ISBN 978-94-017-9599-9). M. Gabriela M&aacute;ngano &amp; Luis A. Buatois (eds) (two volumes). 2016. The trace-fossil record of major evolutionary eventsThe trace-fossil record of major evolutionary events. Volume 2: Mesozoic and Cenozoic. Springer. Topics in Geobiology, 40, 485 pp. (ISBN 978-94-017-9596-8).
The Shift Toward Open Research: Drivers, Recent Developments, and the Future of Scholarship

Presenter Bio: Mr. Nick Shockey is the Director of Programs & Engagement at the Scholarly Publishing and Academic Resources Coalition (SPARC). He is also the founding Director of the Right to Research Coalition, an international alliance of student organizations that promote Open Access to the results of research through advocacy and education. Under his leadership at SPARC, his organization is recognized as a preeminent organization that promotes and supports Open Access scholarship through notable initiatives and programs.
LibGuides: City View Library Programming Blog: Home

A guide to everything the City View Children's Area is planning for 2021! Created by Erin Redihan for INFO 260A Spring 2020
ANTI-FORENSICS: COUNTERING SENSOR NOISE CAMERA IDENTIFICATION

In simple terms, Anti-Forensics can be told as the techniques used to counter forensic analysis done by forensic investigators. This paper mainly focuses on some of the most used anti-forensics techniques along with the challenges the forensics investigator faces. There are many tools and techniques available that when used properly can be highly effective against the forensic analysis techniques. Various tools assist you against various anti-forensics techniques like Elimination of evidence source, Data hiding, and Trail obfuscation. These techniques are used mainly to make the investigation consume more time and money. Sensor Noise Camera Identification is a way to link a photo with the camera the photo was taken from using a noise signature that is unique for every camera. KEYWORDS: Anti-Forensics (AF), Forensic Analysis, Anti-Forensic Techniques, Sensor Noise Camera Identification
Keberanian Tokoh dalam Novel Tangan Kelima Karya Christian Armantyo: Tinjauan Psikologi Sastra dan Relevansinya dengan Pembelajaran Bahasa Indonesia di SMA

This is studi aims to describe, (1) the structure of the novel Tangan Kelimacreation Christian Armantyo, (2) courage of the characters in the novel TanganKelima with literature psychology review, (3) relenvance as teaching material inhigh school. This type of research is a qualitative descriptive method. Thisresearch ini the form of words, sentences, paragraphs, and RPP K13. The primarysource of this research is the novel Tangan Kelima creation Christian Armantyo,and secondary sources are novel Tangan Kelima, national journals. The object ofthis research is the courage of the figures in the novel Tangan Kelima by ChristianArmantyo: a review of psychological literature. In collecting data used note takingtechniques. The data collection technique used is sampling technique. Dataanalysis techniques in this study used content analysis. From the results of thisstudy it can be concluded: (1) the structure of the novel Tangan Kelima includes:(a) themes: adventurers; (b) fisth characters: Rantau overseas are polite, impatient,curious, while additional characters are: Mother, affectionate and caring; Mira,jealous; Elora, selfish; Mr. Adang, friendly and kind; Daan is brave and uplifting;Anna, friendly; Leona, friendly; Reynal, seriously; Mr. Karno, firm and confident;Hendri, arrogant; Rifky, reserved and resigned; Mr Rusdi, astonished; Nando,kind and jealous; Mr Pranoto, all in all know; Rasyid, firm and arrogant; Bintang,humble; (c) forward flow; (d) background: campus, Cikampek toll road KM 18,home police station, boarding house, east Senayan parking lot, Jakarta, Javanesepalace. Setting the time of morning, afternoon and evening. The setting ofatmosphere: happiness, sadness, anger, tense anxiety, (e) the perspective of thefirst person who knows everything “he”, (f) mandate: do not easily give up infinding things that have not yet been achieved. (2) the courage of the characters inthe novel Tangan Kelima with literary psychology reviews include: (a) courage inresisting a friend’s selfishness, (b) courage in finding the truth, (c) courage insaving yourself from enemies, (d) courage in finding books, (e) courage inresisting high curiosity, (f) courage in fighting fear of empty spaces and peoplearound, (3) the relevance of novel Tangan Kelima by Christian Armantyo withIndonesian language learning toward basic competencies (KD) 3.9 Analyzing thecontent and language of novel in class XII.
A Mixed Reality Application To Visualize Amino Acids

This study examines the benefit of using mixed reality to visualize amino acid molecules for students in introductory biochemistry courses at the undergraduate and graduate level. A Novel Microsoft HoloLens application that tests understanding of amino acid structures was developed. The application was made accessible to students by making it compatible with multiple platforms in addition to Universal Windows Platform; these platforms include Android and iOS as well as PC, Mac, and Linux stand‐alone. This was done using Unity3D with coding in C#. The success of application development and implementation in the classroom was tested by students of Biochemistry. The results of student attitude survey regarding the ease and benefit of the application on mixed reality, and any other platforms they choose to use it on, is presented herein Support or Funding Information PRISE, WISER, Flora Stone Mather Center for Women, Case Western Reserve University
LibGuides: SciENcv: Science Experts Network Curriculum Vitae: Getting Started with SciENcv

A researcher profile system for all individuals who apply for, receive or are associated with research investments from federal agencies. SciENcv is available in My NCBI.SciENcv is a cooperative project requested by the Federal Demonstration Partnersh
Improving Instructional Pedagogy: What are the Issues?

This brief review paper examines some of the issues and concerns relative to the improvement of teacher instruction and discusses some of the inter-personal as well as the intrapersonal concerns and reviews some of the most salient constructs.
Psikologi penagihan dadah: satu tinjauan literatur

Drug addiction is a social disease that imposes a serious implication towards the nation’s de-velopment and security. Statistik Agensi Antidadah Kebangsaan in 2017 shows that there is an abrupt increase in drug addicts that is dominated by males aged from 20 to 40 years old. Various factors have been identified as contributing factors in drug addction.; and intrinsic factors, namely psychological factors often are assumed as the contributing factors that cause one to engage in drug addiction. Therefore, the current paper aims to present psychological factors that are related to drug addiction. In the context of psychology, there are four main psychological aspects: personality, emotional, cognition and behavioural that are explored in relation to drug addiction. Archival and metasynthesis methods were employed to collect re-sources. It was done through electronic and manual searches. The current paper is hoped to provide resources for experts and related agencies in drawing a psychological intervention that is suitable for the drug addicts as well as individuals who are at high risk to fall into drug addiction.
Key Management and Secure Communications

Key management is a critical component of computer/network security and encryption.  At a fundamental level, systems today are utilizing the same encryption tools and techniques as a generation ago.  The rapid pace of change in computing technology combined with ever-increasing sophistication in attack methodologies has put encryption techniques in jeopardy.  There are also many sectors, such as the medical sector, that has an abundance of legacy systems that cannot make use of new encryption technologies but are still victim to the more sophisticated attack methods.  The result is defense mechanisms becoming outdated while the attackers gain access to better tools and attacks.
State Final Certification in Russian Universities in XVIII – Early XXI Century: Historical Analysis

Nowadays much attention is paid to testing the preparation of graduates for professional activities. The main assessment procedure is the state final certification. In order to form certification tools, it is relevant to study the experience of testing since the beginning of their introduction into the educational process. The article deals with a detailed analysis of the state final certification of graduates in universities of Russia from the 18th century to the beginning of the XXI century. The author considers the issues of forming the procedure of state final certification, as well as the reasons for changes in the forms and nature of certification tests in different historical periods. At the same time, the purpose of the certification of graduates is substantiated, based on the position of the educational policy of the country at a certain period of time. Special attention is paid to the problem of teacher training at school. Based on the specificity of pedagogical education, the state final certification takes a unique form, different from the one carried out in classical specialties. At the same time, certification tests in pedagogical areas have also undergone changes in the historical process. The analysis allows to see the logic of changes in approaches to the state final certification in different historical periods, as well as to highlight the issues of modern trends in the development and implementation of certification tests.
A Linear Time Side Match Vector Quantization Implementation

Side match vector quantization (SMVQ) is slower than vector quantization (VQ). For each SMVQ index, it generates a state codebook SCB. The N codewords from the main codebook D are sorted by their side match distortions SMDs. The average execution times with N = 512 and 1024 are 18.528 and 46.052 seconds. In this paper, we propose an approach that can exploit any integer sorting algorithm. First, it assigns a modified side match distortion integer MSMD to each codeword. A codeword's MSMD is a function of its SMD. Next, it sorts the codewords in D by their MSMDs. This step can use any integer sorting algorithm. Our implementation uses the bucket sort algorithm. It reduces the SMVQ's time complexity from O(Nlog <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> N) to O(N + K), where K is the number of buckets. Experimental results verify that our implementation is faster. The average execution times with N = 512 and 1024 are 4.279 and 7.247 seconds. That is double the time of VQ. Also, the average execution times with N = 2048 and 4096 are 19.833 and 51.710 seconds.
Optimal Margin Distribution Machine with Sparsity Inducing Penalty

Recently a promising research direction of statistical learning has been advocated, i.e., the optimal margin distribution learning, with the central idea of optimizing the margin distribution. As the most representative approach of this new learning paradigm, the optimal margin distribution machine (ODM) considers maximizing the margin mean and minimizing the margin variance simultaneously. The standard ODM exploits the ℓ_2-norm penalty, which gives rise to a dense decision boundary. However, in some situations, the model with parsimonious representation is more preferred, due to the redundant noisy features or limited computing resources. In this paper, we propose the sparse optimal margin distribution machine (Sparse ODM), which aims to achieve better generalization performance with moderate model size. For optimization, we extends an efficient coordinate descent method to solve the final problem since the variables are decoupled. In each iteration, we propose a modified Newton method to solve the one-variable sub-problem. Experimental results on both synthetic and real data sets show the superiority of the proposed method.
Single image super-resolution by learning versus by compressive sensing (Conference Presentation)

Single image super-resolution (SR) refers to the task of obtaining a high resolution (HR) image from a low resolution (LR) image. During the last two decades, numerous techniques that infer the missing HR data from a LR image have been developed. Recently powerful deep learning algorithms have been employed for this task and achieved the state-of-the-art performance. On the other hand, during the last decade, several techniques have been developed that generate a HR image from a compressively sensed exposure. In this paper we discuss the differences between these two types of SR imaging approaches.
Library Guides: Virtual Reality Multimedia Production: 3D Modelling / Graphic Design

Research guide for the AR/VR Graduate Certificate program at Mohawk College. Resources related to graphic design for 3D environments
Aisukuriimuga suki! Some Remarks on the Japanese Noun+Adjective Sentence Patterns

The articles collected in this publication are thematically diversified and refer to such domains of Japanese studies as literary studies, cultural studies, linguistics, history of art, theatre, sociology and anthropology.Some of the papers deserve attention as original reinterpretations of traditional sources and texts of the Japanese culture, also in reference to the ethnic, geographic and cultural peripheries. Among other matters undertaken in this publication, the problem of national awareness, axiological approach to the Japanese sphere, its various evidences and manifestations, as well as its confrontational understanding with regard to the opposition between self and other, we and they, we and others in the historical context should be noted.The linguistic problems presented here are tightly bound with domains of traditional values as language etiquette, contacts between the Japanese language and Classical Chinese, or traditional language games.It should be stressed also that the papers are still up-to-date, represent high scientific quality, and undoubtedly should be available for every interested reader. The issues touched upon in the collection are rarely present in scholarly debate, and for this reason may be of interest to those who want to deepen their knowledge of Japanese culture and civilization.
Augmented Reality based Tourism Application

A Smartphone application that helps with all the tasks involved in planning a trip to view places in a trip this untapped requirement in mind, an android application is proposed here.The app consists and fulfils all above mentioned features enabling app users to have very good trip experience as well as documenting the entire process.Once the app gains decent amount of data with all the check-ins the user makes, the feedback feature gets enhanced to provide very good real time useful information for future users.
LibGuides: Library Course Reserves: Add Citations to Your Lists

Library Course Reserves use Leganto. Created by Ex Libris, Leganto is an online application that supports the creation and management of course resource reading lists.
Pemanfaatan Game Tower Defense Sebagai Media Edukasi Digital

Game is an activity that cannot be separated from human life because human beings are playing. The growth of digital game on a smartphone rapidly and widely available in the available online which is a service provider of digital applications and games. The existence of digital games on smartphones is an application shall be owned by user that is used as a partnership be, a pastime, and as medium of education. Educational activities are learning activities and receive information on a person directly or indirectly. The information provided on recipient's are knowledge or limited a short message. Tower defense game is one kind of games that can be used as education to the recipient. With structure analysis method, elements of education on tower defense games will be analyzed to be known by both the educational element.
Arrangement of Interactive Media Based Teaching of Literature Sciences in Indonesian Language and Literature Faculty of Language and Arts of Medan State University

The objectives of this study are: (1) To produce interactive media-based literature introductory teaching materials, easy and interesting to use, (2) Knowing student assessment of interactive media-based literature introduction instructional materials. This type of research is development research that uses the Brog and Gel product development model combined with the Dick and Carey learning development model. This learning product development model is a model that is programmed in a systematic order and meets the characteristics of students in learning. The last trial subjects were from two Indonesian language subject matter experts, two instructional media design experts, three students for individual tests, 9 students for small group tests and field tests. Data about the quality of these development products was collected by a questionnaire. Data collected were analyzed using qualitative descriptive techniques. The results of the preparation research show: (1) expert test of introductory material in literary science is included in the excellent category (92.28%), (2) the learning media design expert test in the category of very good (92.36% (3) individual test are in very good quality (96.36% (4) small group tests are in very good quality (95.73%) and the final assessment of field tests is in very good quality (97.52%), from the results of the overall assessment of introductory teaching materials Interactive media-based literary sciences included in the category of very good with an average (94.84%). Thus, it was concluded that the introduction of instructional materials based on interactive media-based literature at FBS Medan State University is appropriate to use. Keywords: teaching materials, literature, media, interactive DOI: 10.7176/JEP/11-5-08 Publication date: February 29 th 2020
Cargo segmentation in stream of commerce (SoC) X-ray images with deep learning algorithms

Inspecting shipping containers using X-ray imagery is critical to safekeeping our borders. One of major tasks of inspecting shipping containers is manifest verification, which has two components: 1) determine what cargos are contained in a shipping container, which can be carried out in cargo segmentation, and 2) compare the cargos in the container with the cargos declared in the manifest. We focus our study on cargo segmentation. Cargo segmentation is the process of partitioning the cargo inside the container into regions with similar appearance. Assign a cargo class label to each pixel in the X-ray images. Our contribution is the development of a deep learning neural net based cargo segmentation algorithm that significantly improves the traditional ways of performing cargo segmentation. The cargo segmentation process is implemented by first partitioning the X-ray images into image tiles of certain sizes, and then train a deep learning (DL) model-based semantic segmentation algorithms using the annotated image tiles to partition the cargo into regions of similar appearance. The DL based semantic segmentation algorithm we used is an encoderdecoder structure often used for semantic segmentation. The DL network implementation chosen for our cargo segmentation is DeepLab v3+, which includes the atrous separable convolution composed of a depthwise convolution and pointwise convolution. Our X-ray cargo images used for development is a government-provided data set (GPD).
A Way to Explore the Lower Bound of Adversarial Perturbation

In the big data era, Deep Neural Networks (DNNs) have been being applied to many learning tasks. However, they are demonstrated to be vulnerable to adversarial examples, which are crafted by adding imperceptible adversarial perturbation to the corresponding legitimate example. Although there are couples of adversarial attack methods that have been proposed, few attack methods focus on investigating the lower bound of the adversarial perturbation. Present optimization-based attacks have many super-parameters and high time complexity. In this paper, a novel attack method is proposed to evaluate the robustness of DNNs. Our method aims to explore the lower bound of the adversarial perturbation, and it can dynamically adjust part of super-parameters. Moreover, the lower bound of the adversarial perturbation can be employed to measure the gap of the inter-class distance, which can improve the interpretability of DNNs. Experimental results show that our method achieves the smallest perturbation under l <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">p</sub> norm metric, compared to some state-of-the-art attack methods.
STUDY OF COMPLICATIONS OF MALARIA IN ADULTS PATIENTS: A PROSPECTIVE STUDY FROM BHOPAL

Background: Malaria is a major health problem all over the globe. WHO recorded that 228 million people suffered and 405000 died due to malaria in 2018. Severity of malaria is known to be the cause of serious morbidity and mortality in poor population. Understanding of its current symptoms and associated complication can help in early diagnosis.&#x0D; Aims and objectives: To study the malarial complications among the adult patients.&#x0D; Materials and Methods: Hundred malaria patients were studied at Gandhi Medical College and associated with Hamidia Hospital from Jan 2019 to Dec 2019. For all the subjects’ medical history, demographic details and medical complications were recorded.&#x0D; Results: Major symptoms at the time of admission were fever, nausea and headache. Major complications in SM patients were severe anemia, prostration, hyperpyrexia (9%) respiratory distress in (6%), thrombocytopenia (70%), low leukocyte count (21%), and cerebral malaria was recorded in 4%. No mortality was recorded during this study.&#x0D; Conclusion: Severe anemia, prostration, hyperpyrexia, ARDS, thrombocytopenia and low leukocyte count are the major complications of SM.&#x0D; Keywords: nausea, anemia, prostration, hyperpyrexia, thrombocytopenia