Reviewerly/exHarmony huggingface dataset:
TEACHER’S STRATEGIES IN USING REALIA TO IMPROVE THE YOUNG LEARNERS’ VOCABULARY MASTERY IN INCLUSIVE CLASSROOM

This research aimed to help the young learners in inclusive classroom in one of English Courses in Yogyakarta to improve their vocabulary mastery using realia. The use of realia combined with certain principles, approaches and techniques of inclusive classroom can help the students to master the vocabulary. Thus, the research question is what are the teacher’s strategies in using realia to improve the young learner’s vocabulary mastery in inclusivclassroom? To answer the question, the writer will use classroom action research. The writer observes videos of some previous teachings in that inclusive classroom. The instrument used by the writer is field note and the vocabulary assessment. There are two cycles in this research, in which each cycle consists of two meetings. Through the field notes and the assessment which have done, the writer concludes that the students’ vocabulary mastery in the inclusive classroom is improved. The students can acquire all the vocabularies in the topic kitchen utensils and food. The improvement of their vocabulary is also followed by their improvement of the students’ engagement. Students with and without disabilities can work together to achieve the learning goals.
Body Awareness, Nutrition and Health of Adolescents Attending Physical Education Lessons

We aimed to study the correlation between body awareness, nutrition and physical-mental health and gender differences among participants aged 16-18.A total of 263 volunteers participated in the study (123 males and 140 females).The three-factor eating questionnaire (TFEQ-18), SF-12 General Health Questionnaire and Body Awareness Questionnaire were used as data collection tools.For statistical analysis; Since the distribution is not normal, the Spearman Correlation Coeff icient was used for correlation analysis and the Mann Whitney U test was used to observe gender differences.We got a negative correlation between the male participants' uncontrolled eating score and mental health.In addition, a negative correlation was observed between the emotional eating variable and physical health in males, which measures the relationship between negative moods, such as loneliness, anxiety, or depressed mood, and over-eating.Female participants showed a weak correlation between body awareness and uncontrolled eating, body awareness and cognitive restraint, and body awareness and susceptibility to hunger.The difference between male and female participants for emotional eating was statistically signif icant.Our study indicates that acquiring healthy living habits at an early age will be the basis for the healthy adulthood process.
CLOUD COMPUTING ADOPTION FRAMEWORK FOR DATA SECURITY IN CLOUD SHARE

It's a major issue to deal with large capacity of data centers in the sense of security.As by nature their sizes keep growing by the cloud users and service providers also.And it's becoming a research interest nowadays to look into this large and unstructured data set.We have proposed a security system based upon a Cloud Computing Adoption Framework (CCAF) which is well structured and systematic to tackle most of the online threats.This paper exhibits working of CCAF framework, its components, multi-layered security and proposed approach.in the CCAF to protect data security.
Survey of Lattice-Based Group Signature

Group signatureGroup signature has two basic properties: anonymity and traceability. Due to its good properties, it has many applications in economy, politics, electronic voting, privacy protection, anonymous authentication and so on. But traditional group signature could not resist the quantum computational attacks. Lattice theory is seen as the most promising post-quantum crypto theory due to the fact that it is a kind of linear structure and that most of its operations are linear operations. Moreover, the lattice theory has better asymptotic efficiency than others do. The lattice-based group signature can not only keep its original security properties, but also resist quantum attacks, it has become a research hot spot. Therefore we think it’s necessary to sort out the achievements of lattice-based group signature in recent years. In this chapter we first simply reviewed the research progress of the traditional group signature, and then we summarized the main progress on lattice-based group signature schemes in recent years. Then we analysed the tools they used when designing signature schemes. In addition, we made a comparison about functionality and security assumptions. Finally, we put forward the further research direction and the development trend.
Storage properties of a quantum perceptron

Driven by growing computational power and algorithmic developments, machine learning methods have become valuable tools for analyzing vast amounts of data. Simultaneously, the fast technological progress of quantum information processing suggests employing quantum hardware for machine learning purposes. Recent works discuss different architectures of quantum perceptrons, but the abilities of such quantum devices remain debated. Here, we investigate the storage capacity of a particular quantum perceptron architecture by using statistical mechanics techniques and connect our analysis to the theory of classical spin glasses. We focus on a specific quantum perceptron model and explore its storage properties in the limit of a large number of inputs. Finally, we comment on using statistical physics techniques for further studies of neural networks.
Um algoritmo evolutivo para jogar Asteroids

This project presents a development of an Evolutionary Algorithm (EA) to autonomously control the Asteroids game ship. The Unity 3D game engine and the C\# language were used to elaborate the AEs and the Asteroids game clone. The results obtained were satisfactory, showing that EAs meet the needs of an intelligent agent. Thus, the present work contributes to the area, where there are few EA publications applied to digital games.
Digital Musical Performance as the Refl ection of the Axiosphere of Culture and the Educational Space of the Digital Age

The article examines performance on contemporary digital musical instruments, such as the keyboard synthesizer, the digital piano, the digital button and keyboard accordion and others, as a direction of artistic creativity in the contemporary sociocultural space on demand by numerous music lovers and professional performers. Evaluation is given to the possibilities of functioning for electronic musical creativity in the culturalcreative, communicative and educational angles. A phenomenological analysis of performance on electronic musical instruments is carried out and data is provided about the peculiarities of the sociocultural perception among various target auditoriums. The heuristic potential of electronic music-making for the young generation is highlighted in the refl ection of the demands of generation Z on poly-timbre and multi-genres in the artistic process. Examples are brought of successful attempts of realizing of individual and ensemble digital performance which has made it possible to manifest the fundamental functions of artistic culture, to create a system of moral and aesthetic values which would be relevant for society, and to form an aesthetically organized, highly technological sociocultural milieu.
Introduce Virtual Reality to College Technical Training Programs—Intensified VR Training for Safety and Economic Efficiency

Abstract Introduce Virtual Reality to College Technical Training Program —Intensified VR Training for Safety and Economic Efficiency Dr. Xiaoxia Li1, Dr. Farzin Heidari1 1Department of Industrial Technology and Management, Texas A&amp;M University-Kingsville Abstract: Traditionally, technical training is done in laboratories that are equipped with technology devices, machines, consuming materials, and safety equipment. With the advancement of technologies and emerging external needs, the equipment may become obsolete and not keep up with the latest mainstream technology. Additionally, machines and equipment need maintenance and they occupy much space and time. More critically, lab safety is an issue that often poses great risks for beginners and instructors in labs. In order to reduce the potential risks in the learning process, and deal with the possible waste of space and supplies, Virtual Reality (VR) training for college lab sessions as a viable solution should be considered. • Scope of VR: Virtual Reality (VR) is considered to be a unique type of restricted display, which immerse the user completely in a three dimensional (3D) environment. • Philosophy of VR: The use of VR creates a realistic understanding of the operational environment and procedures through the interaction of the user and the surrounding virtual environment including pseudo signals and controls. In this method, the users would be exposed to real-time signals and peripheral situations. A pilot study of “Driving under Influence of Alcohol” was done using VR technology as a master’s thesis, and the users are exposed to simulated steering, car signaling, accelerating and braking systems, which is equivalent to the driving experience in real situations. 67% higher scores with 95% confidence interval were reported for overall training satisfaction for the virtual reality training participants in the study. • The merit of using VR in training: VR gives a new direction of technological training in education, and achieves the ultimate goal of preparing our workforce with sufficient exposure of hands-on training on cutting edge technologies and skills with a minimum investment in the hardware and supplies, and enhances the trial and error learning experience to overcome the obstacles of the fear of making mistakes in learning and operating new devices. To promote safety and economic efficiency, the extensive application of virtual reality in technology laboratories should be adopted. VR enhances the experience of hands-on learning, problem-solving, and gives a promising pathway to highly engaging and low-risk, low-cost technology training solutions in a great variety of training processes that involve the interaction with the equipment and surrounding environment. Implementing VR training will explore the possibility of combining traditional lab training and virtual reality training, and find a safe and economic venue to build successful technology training programs in college curricula.
RESEARCH OF FORMATION EFFICIENCY INFORMATION AND COMMUNICATION COMPETENCIES IN SENIOR PUPILS OF THE SPECIAL COMPREHENSIVE SCHOOL

The article proposes special areas of work and identifies conditions for improving the effectiveness of the formation of these competencies in pupils, including high school. The research was conducted within the lessons of computer science, because they have a direct impact on the formation of information and communication competencies. It was found that the systematic and purposeful use of computer technology, special electronic correctional and developmental training programs and Internet services provides an opportunity to modernize and improve the quality of education, as well as pupils’ interest in mastering basic computer science, to create a situation of success for each them. In the process of evaluating the effectiveness of the introduced areas of correctional and developmental education system, high school pupils were divided into two groups - control and experimental. The obtained data showed that the pupils of the control group did not experience significant changes in learning, while the pupils of the experimental group showed an improvement in performance in computer science lessons. Based on the results of the experimental study, it was found that the proposed correctional and developmental system of education is quite effective in increasing the level of formation of information and communication competencies in high school pupils with special needs. Prospects for further research are outlined.
Analysis of Information Services and Products in the University Libraries of Karnataka State: Towards Marketing Approach

Based on the content analysis of websites of 51 universities of Karnataka state, an attempt is made to identify the information products and services indigenously developed by university libraries. Findings reveal that only 44 university libraries have functioning websites. Further, the study also reveals that university libraries do not provide advanced information services and information products beyond alerting level. This context suggests that the university libraries have to think of developing indigenous products and services on-line with Kotler’s definitions, within the purview of McCarthy’s 4Ps as outlined by Saracevic with the existing staff using emerging technologies that are worth marketing.
Library and Academic Services: Printing, Scanning and Photocopying: Printing From The Internet

How to print, scan and photocopy at the RRC Libraries How to print directly from the Papercut web page.
GP for Simultaneous Feature Learning and Ensemble Learning

Ensemble methods have been widely applied for solving machine learning problems and achieved promising results. However, ensemble methods for image classification often need many manually settings and extensive human intervention on feature extraction, base learner selection and combination. Automating the processes of feature extraction and ensemble building can address this issue. This chapter proposes a GP-based approach with a new representation to automatically and simultaneously learning features and evolving ensembles for image classification. The proposed approach can automatically and simultaneously learn high-level features through multiple transformations, select effective classification algorithms, optimise the key parameters of the classification algorithms, and evolve effective ensembles for image classification. The performance of the proposed approach is examined on 12 benchmark datasets and compared with a large number of baseline methods. Further analysis is conducted to show the potential interpretability of the solutions evolved by the proposed approach.Feature learning Ensemble learning
Research Sources & Guides: FINANCE 207 (Seru) Course Reserves: Overview

Links and information and information about books on reserve for FINANCE 207 with Prof. Seru.
THE INFLUENCE OF COOPERATIVE INTEGRATED READING AND COMPOSITION (CIRC) MODEL ON ELEMENTARY STUDENTS’ LITERACY

The purpose of this study was to describe comprehensively the effect of Cooperative Integrated Reading and Composition (CIRC) model on the literacy abilities of elementary school students. The results of this study were expected to provide information about innovative models to be implemented in order to improve the literacy skills of elementary school students. This study utilized pre-experimental research method referring to research conducted on one experimental group whose sample was not randomly selected and there was no control group. This method was used to determine the effect of CIRC model on students' literacy skills after being given a treatment. The design in this study was one group pretest-posttest design. There was a significant effect of using Cooperative Integrated Reading and Composition (CIRC) model on the literacy abilities of fourth grade elementary school students. The average of overall pretest scores was 65.3. Then, it was obtained that the average posttest scores after the treatment was 86.1. Thus, there was a significant effect of CIRC model on the literacy abilities of elementary school students. as a result, the CIRC learning model could be implemented as an alternatives to increase the literacy skills in elementary school students.
Library Web Development: Beyond Tips and Tricks

For library professionals wanting to enhance their web development skills, Bengtson offers a series of simple strategies for progressive do-it-yourself web coding. Bengtson, an experienced library ...
Io e altri nella poesia di Raboni: Dalle Case della Vetra a Cadenza d'inganno

This article intends to examine the relationship between the lyric ego and the other individuals in Raboni’s first two collections of poems, Le case della Vetra and Cadenza d’inganno, against the background of the weakening process of the poetic “I” which occurred around the 1960s. The aim is to show how the Milanese poet progressively opens the space of his texts to other characters’ speech in order to create a new type of lyric poetry, in which the “I” shares with the others that enunciative centrality which had long been its exclusive prerogative.
Designing and Validating a Blockchain-based Architecture to Enforce Privacy in Human Robot Interaction

Social Robots (SR) can record large streams of raw data in the form of images, audio, Radio Frequency Identification (RFID), among other sensory sources, which could be instrumental in enforcing Human-robot interactions (HRI).However, the emotional bonds between humans and SR can raise an SR accessing/inferring profoundly private information, e.g., emotional states.Therefore, in what concerns privacy, SR may be a liability.Clarifying the ownership of data collected by robots is an issue of concern in the European Union (EU) General Data Protection Regulation (GDPR), which requires 'privacy-by-design'.The paper presents BlockRobot -a Blockchain (BC)-based software design model for developing privacy-by-design application in Human-Robot Interactions (HRI).Based on this design model, users can access the private data generated in their HRI.This paper's contributions are the design and validation of a model to develop privacy-by-design applications for HRI.This model integrates BC technology with robots to audit robotic events such as Red, Green, Blue, Depth (RGB-D) images, and RFID tags.Smart contracts and crypto-wallets accomplish identity management.To demonstrate the utility of the initial implementation of a Decentralized Application (dApp), we implement a prototype, based on the private permissioned Evolution of Scalability (EOS) Blockchain integrated with the social robot moving in a non-laboratory environment.
Joint Burst Denoising and Demosaicking via Regularization and an Efficient Alignment

In this work, we show that an image reconstruction from a burst of individually demosaicked RAW captures propagates demosaicking artifacts throughout the image processing pipeline. Hence, we propose a joint regularization scheme for burst denoising and demosaicking. We model the burst alignment functions and the color filter array sampling functions into one linear operator. Then, we formulate the individual burst reconstruction and the demosaicking problems into a three-color-channel optimization problem. We introduce a crosschannel prior to the solution of this optimization problem and develop a numerical solver via alternating direction method of multipliers. Moreover, our proposed method avoids the complexity of alignment estimation as a preprocessing step for burst reconstruction. It relies on a phase correlation approach in the Fourier’s domain to efficiently find the relative translation, rotation, and scale among the burst captures and to perform warping accordingly. As a result of these steps, the proposed joint burst denoising and demosaicking solution improves the quality of reconstructed images by a considerable margin compared to existing image model-based methods.
An Improved Diffie-Hellman Protocol Security Using Video Entropy

The Diffie-Hellman is a key exchange protocol to provide a way to transfer shared secret keys between two parties, although those parties might never have communicated together. This paper suggested a new way to transfer keys through public or non-secure channels depending on the sent video files over the channel and then extract keys. The proposed method of key generation depends on the video file content by using the entropy value of the video frames. The proposed system solves the weaknesses in the Diffie-Hellman key exchange algorithm, which is MIMA (Man-in-the-Middle attack) and DLA( Discrete logarithm attack). When the method used high definition videos with a vast amount of data, the keys generated with a large number up to 500 per frame, and each number value reaches more than 1000 to be used or switched when needed. The method also provides some difficulty in guessing the keys from the transmitted video and the reason for the development and emergence of many communication programs Viber, WhatsApp, and other programs, enabling to use the proposed method in these programs.
Understanding Security Behavior of Real Users: Analysis of a Phishing Study

This paper presents a set of statistical analyses on an empirical study of phishing email sorting by real online users.Participants were assigned to multitasking and/or incentive conditions in unattended web-based tasks that are the most realistic in any comparable study to date.Our three stages of analyses included logistic regression models to identify individual phishing "cues" contributing to successful classifications, statistical significance tests assessing the links between participants' training experience and self-assessments of success to their actual performance, significance tests searching for significant demographic factors influencing task completion performance, and lastly kmeans clustering based on a range of performance measures and utilizing participants' demographic attributes.In particular, the results indicate that multitasking and incentives create complex dynamics while demographic traits and cybersecurity training can be informative predictors of user security behavior.These findings strongly support the benefits of security training and education and advocate for customized and differentiated interventions to increase users' success of correctly identifying phishing emails.
Analyzing SNOW and ZUC Security Algorithms Using NIST SP 800-22 and Enhancing their Randomness

Confidentiality and Integrity algorithms are based on SNOW / ZUC stream cipher algorithms. These standardized algorithms are designed by the 3rd Generation Partnership Project (3GPP) for advanced mobile communication systems (4G-LTE Advanced, LTE Advanced Pro, and 5G-Next Generation). In this paper, twenty configurations of SNOW/ZUC algorithms are studied and analyzed to select the one with the best randomness properties. Each configuration has two different S-boxes in the Finite State Machine (FSM) layer of the SNOW algorithm and Nonlinear Function (NLF) layer of the ZUC algorithm. The two S-boxes are selected from the best five S-boxes published in kinds of literature (Rijndael, Dickson, Feistel structure, New Rijndael, and Improved New Rijndael S-boxes). The NIST SP 800-22 statistical test suite involves 15 tests that are used to assess the randomness properties of each configuration. A complete simulation of each configuration SNOW/ZUC with two different S-boxes is applied using C- language. Test results showed that the best pair arrangement of S-boxes in the SNOW algorithm is the configuration (Feistel structure - Rijndael S-boxes) although the standard configuration by 3GPP is (Rijndael - Dickson S-boxes). Also, the best configuration in the ZUC algorithm is (New Rijndael - Rijndael S-boxes) although the standard configuration by 3GPP is (Feistel structure - New Rijndael S-boxes). The best configurations passed all the NIST SP 800-22 suite randomness tests successfully.