Reviewerly/exHarmony huggingface dataset:
Numerical simulations of local plasmonic field distortion for multimodal core-shell gold-based nanoparticles

The paper continues [12] the Finite-Difference Time-Domain (FDTD) mathematical modeling method application of electric field distortion near the surface of spherical gold nanoparticles functionalized by two shells: water shell as a model substance for a drug and S<sub>i</sub>O<sub>2</sub> as a capsuling silicon polymer. During the simulation, parameters such as particle size, the thickness of surface layers, the wavelength of exciting radiation, and the dependence of the effective amplification of the E component of electromagnetic field on the thickness of the polymer and water layers were investigated. The prospects of the theoretical approach of core-shell complexes for theranostics tasks are shown. The data presented can be used as a basis for controlled chemical synthesis of spherical nanoparticles.
Blockchain Based Sharing of Security Information for Critical Infrastructures of the Finance Sector.

Recent security incidents in the finance sector have demonstrated the importance of sharing security information across financial institutions, as a means of mitigating risks and boosting the early preparedness against relevant attacks. However, financial institutions are in several cases reluctant to share security information beyond what is imposed by applicable regulations. In this paper, we introduce a blockchain-based solution for sharing security information in a decentralized way, which boosts security and trust in the information sharing process. We also illustrate how the information that is shared across financial institutions can serve as a basis for collaborative security services such as risk assessment.
ABOUT CAREER ORIENTATION OF MODERN STUDENTS: FOREIGN AND DOMESTIC APPROACHES

The article considers the problem of career and career orientation of modern students in domestic and foreign scientific psychological and pedagogical literature.It is emphasized that the concepts of "career" and "competition" are etymologically related concepts.It is noted that a successful career involves a competitive personality.Three integral characteristics of a competitive personality are characterized: orientation, competence, flexibility.It is noted that the mental development of a cultured person occurs through the appropriation of social consciousness -social ideas, knowledge, language, ideals, norms, traditions, assessments, which are stored in the culture of the people and which in the transition to the internal plan form the psyche of a particular person.It is proved that in senior courses a professional identity is formed and the final decision is made whether to connect one's future destiny with the chosen profession or not.Based on the results of the theoretical analysis of career understanding issues, foreign and domestic researchers have identified the main approaches to career understanding: semantic, role, value, procedural, status, personal-professional, biographical, acmeological.It is emphasized that the process of formation of professionalism throughout the life of students is self-realization and the formation of its subjectivity.It is noted that the most popular foreign theory of professional development was the model of D. Super.
Teaching Algorithm Department Concepts in Informatics and Information Technologies on the Computer Imitation Model Basis

The article describes traditional teaching methods shortcomings, ways to overcome them, information technology modern achievements in the education system, existing scientific publications analysis on the software application in the educational process, problems in this area, relevance and purpose of the idea. In "Informatics and information technology" discipline it is recommended to use concepts logical scheme related to the algorithm and, on this basis, a computer simulation model. A logical scheme of the algorithm concepts has been developed, and a computer simulation model has been created, which provides information about each concept. The methodology of organizing lectures on the basis of the created computer simulation model is described. In this methodology, the working process with a computer simulation model and explaining mechanism the lecture lesson are described in the selected topic content description. In the concluding part, conveying the algorithm concepts to students using a computer simulation model provides a great opportunity to reveal their content, essence, i.e., students can re-read the learning material they are learning, change its presentation speed, i.e., choose the desired mode based on their perceptual abilities.
PIT LibGuides: Online Tools & Resources: Grammarly for Students

Tools and resources to support and improve writing comprehension and execution Apps, plugins, and correction card examples; how to use Grammarly as a student at P.I.T.
Visual processing of symbology in head-fixed large Field-of-View displays: poster and abstract

Background. A Head Mounted Display (HMD) is unlike all other displays fixed to the head, making eye movements the sole option to scan the display. While the largest saccades easily exceed 50 deg (Collewijn et al., 1988), naturally occurring saccades typically stay within 15 degrees (Adler & Stark, 1975). While attractive for many applications, a HMD also forms a liability: large-FoV HMDs are known to cause eye-strain (Kooi, 1997) and the rate of information uptake is expected to decrease towards the edges. Methods. We measured the ability of 12 subjects to quickly determine the orientation (Т vs Ʇ) of a target T surrounded by 4 randomly oriented (up, down, left, right) flanker T’s as a function of 1) target-flanker spacing or ‘crowding’ (small /medium/large), 2) flanker polarity, and 3) eccentricity (15/30/45 deg). The one-hour test was repeated in reverse order after a 15 min break. Visual comfort was assessed with questionnaires. Results. Reaction time increased with crowding, symbol eccentricity, and decreased with opposite target-flanker polarity (all p values < 0.001). Contrary to our expectations, reaction time decreased after the break, suggesting saccadic motility improves over time (Parsons & Ivry, 2018). Eye strain showed a small increase with eccentricity (p < 0.037). Conclusions. These results confirm that ocular motility appears to be trainable. The dynamics of HMD information uptake resembles Fitts’ law. Practical implications. Initial training reduces eye strain. Combined with the ocular motility data from the references, a 30 deg Field-of-View is a compromise between maximal overall symbology uptake and minimal eye strain.
Rastreabilidade de alocação e desalocação de contêineres usando Docker Swarm com base em blockchain Hyperledger consorciado

Container-based virtualization technology enables dynamic allocation,addressing needs of scalability and fault tolerance. This featureprovides flexibility in the use of computing resources, but turnsmonitoring a challenge due to the large flow of calls and allocations.Recording these operations in a Blockchain allows to not only auditthe resources employed but also the chronology analysis of theperformed operations. In addition, the use of blockchain distributesthe credibility of record veracity between provider, end user, anddeveloper of the container-based solution.
A linear algebra approach to linear metatheory

Linear typed λ-calculi are more delicate than their simply typed siblings when it comes to metatheoretic results like preservation of typing under renaming and substitution. Tracking the usage of variables in contexts places more constraints on how variables may be renamed or substituted. We present a methodology based on linear algebra over semirings, extending McBride's kits and traversals approach for the metatheory of syntax with binding to linear usage-annotated terms. Our approach is readily formalisable, and we have done so in Agda.
A Numerical Technique for Breast Medical Research Based on The FSS Transform

Breast cancer is one of the more aggressive diseases with a high worldwide death rate in women. The early detection and timely treatment are the best methods to save life patients. Thus, the development of a new technique for medical research can represent an invaluable tool. The aim of this paper is to present an accurate and efficient numerical technique based in The Fast Slant Stack Transform as an aid to detect spiculated masses and architectural tissue distortion hidden in digital mammograms. This technique is efficient because performs this task in a very short computer processing time. The technique is validated testing 50 study cases taken from a scientific medical mammogram database. Finally, a sensitivity analysis confirms the accuracy of the here proposed technique as a promising one option particularly in developing countries where digital mammograms are highly preferred for the reduced diagnostic costs.
LibGuides: Digital Scholarship Websites: Home

This guide pulls together information and resources relating to creating academic digital scholarship websites through Hege Library & Learning Technologies.
Blockchain based Land Registry

Land assets hold huge value to farmers as well as other landowners. The Indian system of storing 7/12 extracts on paper, although in digitized format now, has been a source of fraud and cheating. The current system provides digitized records of the paper trail bearing ownership credentials. However, this system depends on Third Party involvement & centralization of data making it susceptible to integrity damages. In our Blockchain-based system we eliminate Third Party involvement by providing a Decentralized system, thus zeroing in on any possible vulnerabilities. The system provides consensus-based validation of blocks of transactions in the blockchain. The system also validates smart contracts upon initialization of a transaction to comply with the Government's smart contract attestation body and taxation norms of ownership transfer.
Automation of the process to prepare a reference on teaching-methodical documentation of an educational program

The article describes the automation process of preparation references on educational and methodical documentation of educational program elaborated by Yugra State University teaching staff. Currently, all teachers fill in the reference manually in accordance with the working program of a discipline and a study plan. In such case there is a high probability of making mistakes, indicating unacceptable literature sources, insufficient number of publications and other shortcomings. The automation process of preparation references on educational and methodical documentation of educational program allows to fill in automatically more dynamic fields for a teacher. To automate the described process, it was decided to develop a web application. The authors provide an overview of analogues. The study of the automation system of IRBIS libraries and databases of the electronic catalog of Yugra State University library was carried out. The description of the technologies and languages used in the elaboration of the web application is given.
Capturing their “first” dataset: A graduate course to walk PhD students through the curation of their dissertation data

The data set accompanying theses is a valuable intellectual property asset, both from the viewpoint of the PhD student, who can procure employment and build publications and research grants from the work for years to come, and the university, which owns the data and has invested in the work. However, the data set has generally not been captured as a finished product in a similar manner to the published thesis. A course has been developed which walks PhD students through the process of identifying an archival data set, selecting a repository or long term storage location, creating metadata and documentation for the data package, and the deposit process. A pre- and post assessment has been designed to ascertain the level of data literacy the students gain through curating their own dataset. PIs for the projects have input into the repositories and metadata standards selected. The university thesis office was consulted as the course was developed, so that accurate procedures and practices are reflected throughout the course. This first of a kind class is open to students of any discipline at a Research-1 university. The resulting mixture of data types creates a unique course every time it is offered.
PEMBUATAN VIDEO IKLAN SEBAGAI MEDIA PROMOSI MENGGUNAKAN APLIKASI MOVIE MAKER PADA TOKO BAJU GIYOMI MALANG

This research purpose to improve promotion and add media promotion to the Giyomi Malang clothing store. The type of research conducted in this study is Action Research. Ad video is created using the Movie Maker application. Data collection methods used in this study are observation and questionnaire. This study uses EPIC Rate and Grammar Of Edit. The unit of analysis used is experts (computer experts and marketing experts) and potential customers. The results of this study in EPIC Rate was 3.8 and the result Grammar Of Edit which were mostly chosen by computer experts, namely the answers agreed with the results of 70,8. The results of the research according to experts on video advertising are considered effective, and according to the respondents, the Giyomi advertisement videos are categorized as good and feasible.
The Effect of Using Histogram Equalization and Discrete Cosine Transform on Facial Keypoint Detection

This study aims to figure out the effect of using Histogram Equalization and Discrete Cosine Transform (DCT) in detecting facial keypoints, which can be applied for 3D facial reconstruction in face recognition. Four combinations of methods comprising of Histogram Equalization, removing low-frequency coefficients using Discrete Cosine Transform (DCT) and using five feature detectors, namely: SURF, Minimum Eigenvalue, Harris-Stephens, FAST, and BRISK were used for test. Data that were used for test were obtained from Head Pose Image and ORL Databases. The result from the test were evaluated using F-score. The highest F-score for Head Pose Image Dataset is 0.140 and achieved through the combination of DCT & Histogram Equalization with feature detector SURF. The highest F-score for ORL Database is 0.33 and achieved through the combination of DCT & Histogram Equalization with feature detector BRISK.
The Development of the Material Teaching based Android in Teaching Chemistryat Senior High School Grade X of SMAN 2 BandarLampung

The aims of this research are to make the products like Andrid used to teach Chemistry for senior high school at Bandar Lampung grade X1. The problems of the research are students cannot master the concept of pH. The research method used was research and development, it created the Android and test it to the experts and students as the subjects. Besides that it also given to the small group to know the effect of the media usage.Based on the result of the test it has better change for the students. Degeng (2001) the results of development of the product effective, efficiency and attractive. When the product was applied it has 135 minutes remains.
Pelatihan Product Presentation dalam Training of Trainers Akademisi Pendamping Desa Wisata

The knowledge about the development of potential products in the tourism village is considered important for every tourism businessmwoman/man because every tourism village in Indonesia has its own potential that if handled properly will be able to become a flagship product. Training of Trainers aims to enhance the understanding and knowledge of academicians who will be mentors in tourist village.  This activity was held for 3 days at Santika Premium Dyandra Hotel and Covention Center, Medan City, North Sumatera and followed by 12 offline participants and 3 participants online. The participant consists of academicians from various public and private universities in North Sumatera, West Sumatera, Riau, Riau Islands and Aceh. Training results in the form of increased understanding of participants proved by the result of questionnaire given after the training. 100% (15 participants) stated that this material is very useful for anyone who is involved in tourist villages, although 93% of them (14 participants) feel this material is already common (from further interviews, it is known that most of them have taught courses in marketing). A total of 80% of the participants (i.e. 12 people) stated that the materials provided can be implemented in the tourism village, while 20% (3 participants) believe that the implementation still has many challenges due to the limited soft capacity of the people. Although all participants are satisfied with the material provided, there are 60% (9 participants) who believes that the material will need to be adjusted when used tot rain the people in a tourist village, where there is limited education that may cause this marketing material will not be easily understood by business owners in tourism village. Their input is to give some product examples to show which product presentation that is already good and which product still needs to be repaired.Keywords: Tourist Village, Mentoring, Development of Potential Product, Product Presentation, Training of Trainers
An Analysis of Students’ Writing Past Conditional Sentence in Kabupaten Tangerang

Writing English as a Foreign Language (EFL) requires one to applied writing rules such as language features: vocabulary, punctuation, type of text, text organization as well as appropriate Grammar, especially Past Conditional sentences. It is desired as a rule to convey one's expectations in their daily activities. The purpose of this research was to describe the difficulties and the factors that students of one of SMAN in Kabupaten Tangerang faced in writing using Past Conditional Sentence. The approach applied in this research was qualitative, and the method used in this research was descriptive analysis. Written tests and interviews were used to collect the data. The results of this research discovered the problems faced by students in writing using the Past Conditional Sentence. It was found that 73% of students had the same writing problem using past conditional sentences. The common mistakes were Verb and Auxiliary's wrong usage and incorrect application of Past Conditional formulas. Furthermore, it was revealed that the problems of language factors contribute to writing related to environmental, linguistics, and psychological factors.
Message from the Technical Program Chairs

We are honored to welcome you to Hong Kong, China, for the International Conference on Virtual Reality and Visualization (ICVRV) 2019, This is the 9th year of the largest conference in virtual reality and visualization, originated and still taking place in China, but embracing work from all over the world. In recent years, the conference has travelled across many great Chinese cities: Beijing (November 2011), Qinhuangdao (September 2012), Xi’an (September 2013), Shenyang (August 2014), Xiamen (October 2015), Hangzhou (September 2016), Zhengzhou (October 2017) and Qingdao (October 2018). We are excited to have Hong Kong to be the new stop and seeing the list continues to grow.
No Reference Video Quality Assessment with authentic distortions using 3-D Deep Convolutional Neural Network

Video Quality Assessment (VQA) is an essential topic in several industries ranging from video streaming to camera manufacturing. In this paper, we present a novel method for No-Reference VQA. This framework is fast and does not require the extraction of hand-crafted features. We extracted convolutional features of 3-D C3D Convolutional Neural Network and feed one trained Support Vector Regressor to obtain a VQA score. We did certain transformations to different color spaces to generate better discriminant deep features. We extracted features from several layers, with and without overlap, finding the best configuration to improve the VQA score. We tested the proposed approach in LIVE-Qualcomm dataset. We extensively evaluated the perceptual quality prediction model, obtaining one final Pearson correlation of 0:7749&#xB1;0:0884 with Mean Opinion Scores, and showed that it can achieve good video quality prediction, outperforming other state-of-the-art VQA leading models.
LibGuides: YA Librarian Toolkit: Home

Hello! Welcome to a LibGuide that will give you a few tools for any young adult librarian! These tools are meant to help you with finding materials to add to your collection, ideas for programs, and tips for keeping up with what your teens are interested
Expression Recognition using Support Vector Machines and OpenCV

Computers were invented as a means of easing the manual activities performed by humans, from simple calculations to performing weather predictions. Every organization and business are in need of automation and are willing to invest a ton of money to bring a little comfort to their customers, all for their satisfaction. Satisfaction can be pointed out by the expression on the person's face. However, businesses tend to organize satisfaction surveys manually, which can be time consuming. Our proposed method aims to use the automation brought about by computers to solve this issue through various methods. It makes use of the power provided by computers to automate the process of surveying customer satisfaction and bring about an easier solution to a once convoluted task. For our method, we're utilizing the facial recognition technology to implement expression recognition and output a result of the expressions. To achieve this, we will be implementing OpenCV in Python and a camera for the vision of the faces. We'll be using Haar classifiers to detect faces and the classification between different expressions is performed by a deep learning algorithm known as Support Vector classifier. The result was a system that could detect faces in video frames, recognize their expressions and label them with an accuracy of 75% as well as provide an output chart of the various expressions and their percentages for the businesses all the while uploading the useful data to a database periodically.I.