Miracle-dz/UniFAR-FTUs huggingface dataset:
Rehabilitation and Reintegration of Children inConflict with Law: An Exploratory Study ofKarnataka and Telangana

The current study analyses the effect that rehabilitation and reintegration of children in conflict with law has on the life of the children. It traces the history of deviant behavior of the child and the causes that lead to deviancy. For the purpose of this study, two institutions were selected from Karnataka and Telangana, because of geographical and social-economic similarities. A sample of 10 (5 from each state) children who had undergone rehabilitation and reintegration process were selected between the age of 12-18 years and interview was conducted. The interview shed light on the rehabilitation and reintegration process that exists in the two states and their institutions from the perspective of the participants and their struggles and challenges was also recorded. Thematic analysis by Braun was loosely followed. The analysis brought out major themes in the experience of the participants and their changes that they had undergone. The research concludes by listing out the characteristics of the respective institutions in the state of Karnataka and Telangana and their impact on the participant in the aspect of rehabilitation and reintegration.
Practical aspects of multiframe blind deconvolution for ground based telescopes

Recent advances in multiframe blind deconvolution of ground based telescopes are presented. The paper focuses on practical aspects of the software and algorithm. (1) A computer simulation that models atmospheric turbulence, noise and other aspects, for testing and evaluation of the deconvolution system are explained. (2) A post-processing algorithm that corrects for glint due to specular and other bright reflections is presented. This glint correction is automated by a spatially adaptive scheme that calculates statistics of brightness levels. (3) Efforts to realize computational speed, wherein processing happens on-the-fly at streaming frame rates are underway. The massively parallel processing of graphical processing units (GPUs) and the Compute Unified Device Architecture (CUDA) language are used.
The currency of images: risk, value and gendered power dynamics in young men’s accounts of sexting

ABSTRACT This paper examines contemporary gender relations among young people by taking young men’s experiences with and understandings of “sexting” as a case in point. Based on a focus group study with university undergraduate men in Melbourne, Australia, we analyse what is seen as having value and what is seen as constituting a risk when engaging in sexting, and how this is perceived as different for men and women. We demonstrate how value and risk are closely intertwined in the focus group discussions and how the body is central in the production and negotiation of both these dimensions. This is made particularly clear in the two ‘figures’ that participants described as embodying the perceived risks; “the creep” and “the slut”. This paper illustrates the w ays gendered bodies and sexual value are central to the ways ‘double standards’ operate in sexting and persist in contemporary gender relations.
Creating a supportive environment for community-university engagement: conceptual frameworks

The changing nature of knowledge production, global issues and the role of education is affecting the intellectual strategies, relationships, societal roles and expectations that we attribute to our universities as well as to how our primary and secondary educational system prepares students for the workplace, for citizenship and for tertiary education. Our educational institutions are beginning to work together and interact in different ways, both internally and externally, to create research and educational environments that are easy to traverse and responsive to the changing knowledge and skill needs of a global, multidisciplinary, collaborative, and evolving community landscape in order to address the challenges of life in the regions we serve. In this paper we will describe forces for change that are encouraging tertiary institutions to develop exchange relationships with external communities for the purpose of generating knowledge of mutual benefit. We will define key terms relating to community engagement, describe the evolution of concepts and forms of engagement including its impacts on teaching and learning, explore the unique role of partnerships in engagement, and conclude with some suggestions regarding the management of the significant and challenging organisational changes which are necessary to create a commitment to and capacity for engagement.
Application of Machine Learning Methods to Interpolation of Aircraft Aerodynamic Data

The collection and processing of aerodynamic data to estimate aircraft speed or attitude is an essential process in flight. In this paper, machine learning methods were applied for aerodynamic data processing and optimization of collected aircraft aerodynamic data. The proposed method is a 'supervised learning' among the methods of machine learning, in which artificial neural networks are learned based on the accumulated data. For this purpose, input and output of accumulated data must be strictly defined for train of neural network, and the original output value of the input is compared with the estimated value of the learned neural network. What the proponents used as neural network structure was multilayer perceptron (MLP, Multi-Layer Perceptron), which consists of two layers for hidden layers excluding the input layer and the output layer for estimates the result using linear regression. Through the process of comparing the output value and the estimated value, learning of the artificial neural network proceeds in the direction of minimizing it based on the cost function value capable of quantifying it. In this scenario, ‘ANSYS Fluent‘, which is a widely used computational fluid analysis software, was used to extract aerodynamic data through shape design and fluid analysis. By defining preprocessing and input / output of extracted aerodynamic data, learning of neural network. All learning data was separated for learning and validation of artificial neural network, and the accuracy of artificial neural network for the input and output of separated data was verified as a progressive measure for numerical interpolation.
Business as Usual? A Social Capital Approach to Understanding Interactions with Journalists on Twitter

ABSTRACT On the surface, it seems that journalists are more publicly accessible than ever before, largely thanks to the popular microblogging website/ app, Twitter. But determining who is interacting with journalists on Twitter is important in order to understand who benefits from these interactions. We argue that social capital provides a useful framework for understanding this phenomenon because it sheds light on the ways in which journalists are embedded in structures of formal and informal social connection, and it highlights social inclusion and exclusion in these processes. Relying on a two-wave, online survey collected before and after the 2018 Midterm Elections, we examine the relationship between social capital and interactions with journalists on Twitter. Results show that people with higher levels of social capital are more likely to interact with journalists, which can be interpreted as a form of social exclusion. Results are discussed in light of the role of journalism in fostering social connectivity and civic engagement.
Veiled Muslim women’s responses to experiences of gendered Islamophobia in the UK

In a post-9/11 climate, Islamophobia has increased significantly in the UK and elsewhere in the West. ISIS-inspired terrorist attacks in the UK as well as in France, Belgium, Germany and, more recently, in Sri Lanka have triggered an increase in verbal and physical attacks on Muslims. Drawing on intersectionality (as a nexus of identities that work together to render certain individuals as ‘ideal’ targets to attack), veiled Muslim women are likely to experience gendered Islamophobia in the cyber world but also in ‘real’ life due to the intersections between their ‘visible’ Muslim identity and gender performance. In the British context, although Islamophobia is recorded as a hate crime nationally, and misogyny as a hate crime locally in some police forces, veiled Muslim women are unlikely to report their experiences to the police. Drawing on qualitative interviews with Muslim women who wear the niqab (face veil), the purpose of this article is to examine the ways in which they respond to experiences of gendered Islamophobia as well as their reasons for not reporting their experiences to the police.
Online Incivility, Cyberbalkanization, and the Dynamics of Opinion Polarization During and After a Mass Protest Event

This study is concerned with the role of persistent online incivility in the dynamics of public opinion polarization. It examines how cyberbalkanization, contentiousness of the political context, online incivility, and opinion polarization at the collective level relate to each other. Focusing on Hong Kong and drawing upon data from different sources, the analysis shows that online incivility—operationalized as the use of foul language—grew as volume of political discussions and levels of cyberbalkanization increased. Incivility led to higher levels of opinion polarization. Online incivility, therefore, can be a mediating mechanism through which the political context and the phenomenon of cyberbalkanization exert influence on polarization.
Integration of algorithmic and heuristic techniques for reactive power compensation in smart microgrids

The paper characterizes the issues related to compensation of reactive power measures, which protect the smart microgrids from the loss of voltage stability. Slower forms of voltage instability are analyzed with power distribution simulations. The simulations represent the behavior of the system after preset shutdowns; P-U and Q-U charts are drawn to assess the voltage stability reserve in the given time. The purpose of the compensation is to decrease the reactive power transmission and the losses on the smart grid related to this power. This most often translates into introduction of new sources to achieve the established goal. This paper explains the algorithm for optimization of artificial measures of reactive power compensation with the use of decision trees, which are the primary method of induction education of machines due to their high effectiveness and the capability of a simple programming implementation.
Investigating Students’ Adoption and Usage Behavior of Educational Technology(EduTech) at Tertiary Level (PLS-SEM Approach)

This study sought to examine students’ behavioral intention to use EduTech (Educational Technology) at the tertiary level education in Bangladesh. Using the unified theory of acceptance and use of technology (UTAUT) model as a base theory, the study attempted to explore the determinants that are swaying students’ intention to adopt EduTech in Bangladesh. A total of one-hundred and forty-nine respondents were chosen randomly from three faculties of AIUB such as Business administration, Engineering and Science, were finally provided with the structured and self-administrated questionnaires followed by brief instructions to fill out the questionnaire. Moreover, collected data were encoded into SPSS for descriptive analysis such as demographic analysis, while SEM simulation, namely SMART PLS 2.0 was employed to analyze reliability and to test the hypotheses stated. Result of the study confirmed that the adoption and the usage behavior of EdTech at the tertiary level is highly influenced by Effort Expectancy, Facilitating Condition, and Perceived Behavioral Control. Findings of the study could be an important outline for educators, EduTech vendors, and service providers for formulating effective adoption strategies with regard to EduTech resources.
Design and Implementation of SSD-Assisted Backup and Recovery for Database Systems

As flash-based solid-state drive (SSD) becomes more prevalent because of the rapid fall in price and the significant increase in capacity, customers expect better data services than traditional disk-based systems. However, the order of magnitude performance provided and new characteristics of flash require a rethinking of data services. For example, backup and recovery is an important service in a database system since it protects data against unexpected hardware and software failures. To provide backup and recovery, backup/recovery tools or backup/recovery methods by operating systems can be used. However, the tools perform time-consuming jobs, and the methods may negatively affect run-time performance during normal operation even though high-performance SSDs are used. To handle these issues, we propose an SSD-assisted backup/recovery scheme for database systems. Our scheme is to utilize the characteristics (e.g., out-of-place update) of flash-based SSD for backup/recovery operations. To this end, we exploit the resources (e.g., flash translation layer and DRAM cache with supercapacitors) inside SSD, and we call our SSD with new backup/recovery functionality BR-SSD. We design and implement the functionality in the Samsung enterprise-class SSD (i.e., SM843Tn) for more realistic systems. Furthermore, we exploit and integrate BR-SSDs into database systems (i.e., MySQL) in replication and redundant array of independent disks (RAID) environments, as well as a database system in a single BR-SSD. The experimental result demonstrates that our scheme provides fast backup and recovery but does not negatively affect the run-time performance during normal operation.
Spatiotemporal Correlation-Based Environmental Monitoring System in Energy Harvesting Internet of Things (IoT)

To provide an accurate environmental map (EM) while avoiding unnecessary transmissions of Internet of Things (IoT) devices, we propose a spatiotemporal correlation-based environmental monitoring system (ST-EMS). In ST-EMS, IoT devices decide whether to transmit the sensed data to an IoT gateway (GW) or not by considering the temporal correlation in the sensed data and energy level. Through a Markov decision process (MDP) formulation, the optimal policy is obtained and it is proved that the optimal policy of MDP has an implementation-friendly threshold structure by using the submodularity concept. Also, the IoT GW in ST-EMS restores EM and improves its accuracy by exploiting the spatial correlation among sensed data using probabilistic matrix factorization. Evaluation results demonstrate that ST-EMS can improve the expected total reward significantly compared with other schemes and achieve low mean square error of 1% in EM restoration.
THE TESTING OF TEACHER’S COMPETENCE MODEL FROM MULTIMEDIA EXPERTISE PROGRAM USING CONFIRMATORY FACTOR ANALYSIS

Abstract: The Testing of Teacher’s Competence Model from Multimedia Expertise Program Using Confirmatory Factor Analysis. The research aims to test the teacher’s competence model which be­comes the basis of evaluating the teacher’s competence in Indonesia as well as the basis of developing the education and training to improve the competence. The tested model involves several levels of measurement construct, from competence dimension, competence group, to expertise group. The ana­lyzed data in the research is the result of test namely Teacher’s Competence Test of Vocational High School teachers teaching Multimedia subject (N=2,744). The data is analyzed using Confirmatory Factor Analysis (CFA) approach. The analysis result shows that the tested model has satisfying model acuracy which means the model represents the actual data. The Root Mean Square Error of Approximation (RMSEA) = 0.000 (< 0.08), CFI = 1.000 (> 0.95), TLI = 1.000 (> 0.95). The findings also show that the model is able to explain the teacher’s phenomenon in the real world. Therefore, the evaluation process against the teacher’s competence and the intervention in the competence development using this model are empirically supported.
"My Partner Always Helps Me": Exploring Two Co-Teachers' Practices to Support Writing in a First-Grade Linguistically Diverse Elementary Class.

English Language Learners (ELLs) are often deprived of using English for academic purposes in meaningful and authentic contexts when pulled out of the classroom for English Language Development services. To tackle this issue, schools have increasingly integrated ELLs in the mainstream classroom through an inclusive model of co-teaching between one content and one language teacher. Through a case study approach, we explored two co-teachers’ practices that fostered writing development within one first grade linguistically diverse mainstream classroom. Through analysis of classroom interaction as well as teachers’ and researchers’ notes, findings revealed that in holding core shared practices, the two teachers achieved an enhanced ability to scaffold their teaching to support their students’ writing development. Core shared practices included a sensitive view of students’ academic language and writing development, modeling for conversations about writing, embedding specific scaffolds for academic language, and opportunities for talking and sharing ideas about writing. These core practices enabled the ESOL and content teacher to take up and share equal and complementing roles during planning, instruction, and assessment. Co-teaching can yield positive results provided that the ESOL teacher has a central, not peripheral role in the mainstream classroom.
“I” and “We” Give Differently: Examining the Impact of Self-Construal and the Time-Ask Effect

“I” AND “WE” GIVE DIFFERENTLY: EXAMINING THE INTERACTION OF SELF-CONSTRUAL AND THE TIME-ASK EFFECT Zuzanna Jurewicz University of Guelph, 2019 Advisor: Dr. Tanya Mark The objective of the present research is to examine the interaction of self-construal, or the way that individuals think of themselves as separate from or connected with others, and the donation request type, or whether individuals are asked to donate their time or money to a charitable cause, and the impact this interaction has on empathic emotion and subsequently donation behaviour. We propose a mediated moderation model, with self-construal as the independent variable, donation request type as the moderator, empathic emotion as mediators, and donation amount as the dependent variable. The results indicated no significant mediated moderation relationship, but main effects of self-construal and donation request type were confirmed. An additional relationship of age and attention on affect and donation, consistent with extant emotional regulation literature, is explored. The findings identify important consideration for academics and managers in the charity fundraising sphere.
Network Location Privacy Protection Based on Game Theory

The purpose of this paper is to protect the privacy of vehicles and passengers. In recent years, with the rapid development of vehicle networking, the location privacy of vehicle networking involves sensitive information about vehicles as well as passengers. It is of great theoretical and practical significance to put forward the privacy protection of vehicle network location. This paper is based on identity concealment, fuzzy method, cryptography and information theory. The goal is to fully protect the privacy of the vehicle's networked location. Using the technical methods of game theory as a means, and the mechanism of vehicle location privacy protection in typical applications and the game model of vehicle network attack and defense are studied. This paper introduces some common privacy protection methods, such as pseudonym transformation method, elliptic fuzzy method and so on. Establish the model and evaluation method of vehicle location privacy attack and defense strategy based on measurement. By analyzing the application scenarios, service quality and other factors and establishing the theoretical model of car network location privacy protection based on game theory, a privacy protection method based on game theory is proposed. The innovation of this paper is that the game theory is applied to the privacy protection of the Internet of vehicles. Thus, we can get the best guessing strategy of the enemy and the best privacy protection mechanism between location quality of service and privacy protection trade-off.
Autistic adults anticipate and integrate meaning based on the speaker’s voice: Evidence from eye-tracking and event-related potentials

Typically developing (TD) individuals rapidly integrate information about a speaker and their intended meaning while processing sentences online. We examined whether the same processes are activated in autistic adults, and tested their timecourse in two pre-registered experiments. Experiment 1 employed the visual world paradigm. Participants listened to sentences where the speaker’s voice and message were either consistent or inconsistent (e.g. “When we go shopping, I usually look for my favourite wine”, spoken by an adult or a child), and concurrently viewed visual scenes including consistent and inconsistent objects (e.g. wine and sweets). All participants were slower to select the mentioned object in the inconsistent condition. Importantly, eye movements showed a visual bias towards the voice-consistent object, well before hearing the disambiguating word, showing that autistic adults rapidly use the speaker’s voice to anticipate the intended meaning. However, this target bias emerged earlier in the TD group compared to the autism group (2240ms vs 1800ms before disambiguation). Experiment 2 recorded ERPs to explore speaker-meaning integration processes. Participants listened to sentences as described above, and ERPs were time-locked to the onset of the target word. A control condition included a semantic anomaly. Results revealed an enhanced N400 for inconsistent speaker-meaning sentences that was comparable to that elicited by anomalous sentences, in both groups. Overall, contrary to research that has characterised autism in terms of a local processing bias and pragmatic dysfunction, autistic people were unimpaired at integrating multiple modalities of linguistic information, and were comparably sensitive to speaker-meaning inconsistency effects.
A Survey on Identity-Based Authenticated and Efficient Traceable Search System

: Secure search over encrypted remote data is crucial in cloud computing to ensure the data privacy and usability. To prevent unauthorized data access and usage, fine-grained access control is important in multi-user system. Whereas, authorized user may intentionally leak the secret key for financial benefit. So, tracing and revoking such malicious user who abuses secret key needs to be solved. The key escrow free mechanism can be used which will effectively prevent the Key Generation Centre (KGC) from unscrupulously searching and decrypting all encrypted files of users. The decryption process involve here only requires ultra-lightweight computation, which is a desirable feature for energy-limited devices. If we figure out malicious user we can efficiently revoke that user. Again if we have, flexible multiple keywords subset search pattern, which will also not affect the order of search result.