Miracle-dz/UniFAR-FTUs huggingface dataset:
Interpreting the viability and longevity of the Leandro Case as it pertains to rectifying known inequities in the North Carolina public schools educational system

CARY GILLENWATER: Interpreting the viability and longevity of the Leandro Case as it pertains to rectifying known inequities in the North Carolina public schools educational system (Under the direction of Dr. Mary Stone Hanley) This study situates the recent North Carolina Supreme Court decision, generally known as the Leandro Case, in the context of other states’ judicial interventions into education, as well as the broader context of American capitalistic society, in order to project the long-term affects the ruling will produce for North Carolina school systems. Through an analysis of both internal and external characteristics affecting the ruling, it is concluded that the state of North Carolina will be unable to achieve the goal of a sound, basic education for all students mandated in the Leandro Case, which is based on the currently held conception of equity.
Live Migration Downtime Analysis of a VNF Guest for a Proposed Optical FMC Network Architecture

Fixed Mobile Convergence (FMC) implies use of a shared optical fronthaul network infrastructure able to carry transparently both fixed and mobile traffic including Wi-Fi, Mobile and fixed Ethernet. Network Function Virtualization (NFV) is a main enabler for FMC using a shared infrastructure for fixed and mobile gateways. Live migration, a virtualization key-feature, offers load-balancing, increased energy efficiency, application elasticity and other worthy advantages. This paper presents the evaluation of migrating a VNF over an FMC infrastructure. Our results show that, performing a live migration over a dedicated connection yielded zero downtime and met a benchmark delay. The following scenario, where the ongoing connection is re-routed on a different optical path, shows the successful completion of the migration with an increase in delay of 2.4 seconds (22% higher than the benchmark) and only 2.1 seconds downtime.
Study of assembly line balancing system based on genetic algorithm

This paper presents a genetic algorithm for assembly line balancing.The assembly line balancing system’s modules and functions are analysed.The assembly line balancing system is developed based on the object-oriented language VC++. The result of a case study with the system is satisfactory.It can be used to solve the assembly line balancing problems and can provide the technology support for improving the production effiencity and redesigning the assembly line.
Designing Learning Technology:An African HCI Approach

The research involves investigating, from an African, specifically Nigerian perspective, what exactly might constitute education technology design best practices that will bring about developing a knowledgeable individual? Substantive progress has been made with regards to identifying gaps in the literature regarding the notion of education with technology in Africa, notably blended learning and some work on the relevance of indigenous knowledge and methodologies in providing some better understanding of the peculiarities of an African context. Initial fieldwork has been completed in Nigeria, thematically analyzed and interpreted the data; conducting a follow-up field work (a participatory observational study), and also evaluating and disseminating the early results from the initial analysis.
Implementation of time series approaches to financial data

We study a time series approach to financial data, specifically the ARIMA models, and build a web based platform for stock market enthusiasts to analyze time series of stock market returns data and to fit ARIMA models to the series to forecast future returns. This system also acts as an informative tool by providing helpful instructions to the users regarding the analysis and model-fitting procedure. It uses R to perform the statistical computations.
Evaluation of the Veteran Resilience Project

EVALUATION OF THE VETERAN RESILIENCE PROJECT Shon Powell Antioch University Seattle Seattle, WA Posttraumatic Stress Disorder (PTSD) is a daunting concern among the majority of organizations with diverse, or tangential, affiliations to the United States Military and/or its personnel. Unquestionably, the 21 million service-connected individuals, at the time of this writing, (i.e., Active-Duty, Reserve, National Guard, and Veterans) afflicted with this disorder are the catalyst for the intense public and private sector interest and involvement in eradication of this disorder. Prevalence rates of PTSD among this complex classification of persons vary across the relevant literature. Some estimates suggest anywhere from 11 to 20 percent, while other sources indicate that upwards of 40 percent of some military service-connected populations (i.e., those who served in Operation Enduring Freedom [OEF], Operation Iraqi Freedom [OIF], and Operation New Dawn as well as less publicized military actions which have taken place within the same timeframe) demonstrate PTSD or other related mental health disorders. Given the high PTSD prevalence demonstrated among service-connected populations, effective, practical, and accessible treatment of PTSD among this contingent is a primary and salient area of exploration both clinically and empirically. Relevant to this, the Veteran Resilience Project (VRP) of Minnesota utilizes Eye Movement Desensitization and Reprocessing (EMDR) as an intervention to treat veterans with PTSD. Thus, the organization contracted this program evaluator to undertake a program evaluation of their nonprofit organization. The association utilizes Eye Movement Desensitization and Reprocessing (EMDR) as a therapeutic intervention due to their
Comprehensive assessment of water quality based on Hopfield network and realization with matlab

Hopfield network,a feedback net of artificial neural network,was used to set up a comprehensive water quality assessment model.The function provide by matlab toolbox was used to calculate it.According to the comparison with the results of BP network,grey-clustering decision,and single pollution index method,the result of the model is satisfactory.The Hopfield network model in the comprehensive appraisal of water quality has the advantages of simplicity and visibility,and it is easy to be realized.
A Very Basic Tutorial for Performing Linear Mixed Effects Analyses: Tutorial 2

This is a tutorial for using linear mixed effects m odels. Quite a few introductions to these models already exist, but th ey are often very technical and can be daunting for readers who lack the appropriat e mathematical background. This tutorial is different from other introductions by being decidedly conceptual; I will focus on why you want to use mixed models and how you should use them. The tutorial requires R – so if you haven’t install ed it yet, go and get it!
A STUDY OF ALUMNI FEEDBACK ON PEDAGOGICAL CURRICULUM EVALUATION

This study was aimed at investigating the need of alumni on the pedagogical knowledge and skills in their job as teachers and how sufficient the pedagogical courses offered at ELEP are in meeting the need of the alumni to do their job as teachers. To reach the objective of the study, survey method with cross-sectional design was employed. A set of questionnaire adapted from Tanriverdi & Apak (2013) study pertinent to pedagogical courses was distributed to alumni who are working as teachers. Responses from the questionnaires were analyzed to reveal the need of the alumni on the pedagogical knowledge and skill. Results of the analysis were further used to as a consideration to carefully select informants for an interview. From all the data collected and analyses conducted, it can be concluded that most pedagogical courses offered in ELEP are needed. However, few are in need refining that more practical knowledge is more accommodated so that the students can get clearer picture of the implementation in real teaching process. As for the sufficiency, the materials given in the pedagogical courses are relatively sufficient in equipping alumni doing their job as teachers.
Compiler Assisted Speculation for Multithreaded Systems

Multithreaded programming requires synchronization, to coordinate access to shared resources. As more and more processor cores become available on a single machine, synchronization tends to be the performance bottleneck of many multithreaded programs. This thesis focuses on two important synchronization scenarios: lock-based critical sections and transactional atomic blocks. Since speculation is a well-known means of increasing parallelism among concurrent executions that are usually but not always independent, this thesis first explores the manual addition of speculation to lock-based critical sections (in concurrent data structures). With simple language extensions accompanied by compiler assistance, a technique which we refer to as CSpec, the programmer can exploit high-level program knowledge to move speculative work out of lock-based critical sections, thereby improving scalability while still maintaining correctness. Speculation is also a major approach to improved parallelism in transactional memory systems. Frequent failures of speculative execution, however, may render the technique unprofitable. In recently emerged best-effort hardware transactional memory, speculation fails mainly due to two reasons: hardware overflow and data conflicts. In this thesis we develop a programming technique and compiler support, ParT, to reduce the duration and memory footprint of hardware transactions, leading to lower abort rates while preserving deadlock-free composability. To reduce the incidence of conflict, we propose an automatic, high-level mechanism,
AN OPTIMIZED MULTI-STAGE SCHEME TO COORDINATE STEERING AND BRAKING

Abstract– A novel Integrated Vehicle Dynamics Control (IVDC) scheme is presented to coordinate active steering and braking subsystems. The multi-stage coordination scheme is based on the phase-plane Method. The first stage includes the high-level controller which integrates three individual controllers according to vehicle states in the phase plane. In the next stage, an optimized scheme is established to allocate the control objectives to individual braking and steering forces. To achieve this, an inequality-constrained optimization problem, including driver's brake demand, is solved analytically. Coefficients of the cost function are adapted based on the vehicle phaseplane trajectory to realize a proper coordination of braking and steering subsystems. Simulation results validate the effectiveness of the proposed method to enhance the vehicle dynamics control.
Purpose Fusion:The Risk Purpose Based Privacy-Aware Data Access Control

The purpose based query technology is the basis of the privacy-aware data access control in relational databases.Most researches focus on how to effectively build a purpose based privacy-aware data access control mechanism for an independent privacy-preserving database system.However,with the popularity of application integration and data sharing,how to merge the purpose based access control mechanisms in different applications and systems becomes a key issue.To address the problem,this paper presents the purpose fusion based privacy-aware data access control mechanism for the integration of multiple applications and systems.It analyzes the potential leakage risks of privacy-aware data due to the fusion of multiple purposes,and evaluates the leakage risks of nodes by considering a merged purpose tree as the risk purpose tree.Then,it split the risk purpose tree into a risk balanced purpose tree with the privacy degree of 0 for all nodes,and a set of risking paths containing the nodes with non-zero privacy degrees.Therefore,a query can be answered by checking the risk balanced purpose tree and then the risking paths,thus safe query results can be obtained with minimized privacy leakage risks.Three sets of experimental results have been given in this paper:(1) the query time comparison between different purpose based models for a same user and query;The RPPAAC model presented in this paper does not lead to a larger time overhead;(2) validity checking for the RPPAAC model in terms of the disclosure of private data;(3) the comparison of execution time for purpose fusion in different instances.Different from related works,this paper considers purposes as the carrier of privacy-aware data,the paths of purpose tree as transmission channels of privacy-aware data,and by introducing the public risk and the hidden risk,it evaluates the potential leakage risks of privacy-ware data during query answering,and presents the purpose fusion based privacy-aware data access control mechanism for integrating multiple applications and systems.
Neural network adaptive inverse model control method for quadrotor UAV

For the highly nonlinear, strong coupling and underactuated, an effective controller for quadrotor unmanned aerial vehicle (UAV) is not easy to obtain, especially in conditions of the parameters variations and external disturbance. In this paper, an adaptive inverse model control method (AIMCM) is proposed for this plant. Two BP networks are used in control system to achieve the model identification and control. Both offline trained and online learned are used to ensure the fast learning and the robustness. The convergence of the learning algorithm is proved based on Lyapunov function. At last, a quadrotor UAV control simulation based on the full model shows the superiority and robustness of the control system.
Teaching Chinese Culture in College English Classes in the Context of Outreaching Strategy

Although a consensus has been reached internationally on the importance of teaching home culture in foreign language education, this is still debated in China. By ignoring cultural factors, some regard English as simply a tool and believe linguistic skills to be the core of English teaching, especially in teaching English to non-English major students. Most, on the other hand, have recognized the intertwined relationship between language and culture, thus support intercultural language teaching. As Byram (1997) notes that both home culture and target culture are parts of the knowledge an “intercultural speaker” should possess. In spite of the growing emphasis that has been placed on intercultural communication competence (ICC) by policy makers in the context of “Chinese Culture Going Global Strategy”, it is neglected in practice and is still in secondary status. This phenomenon is especially widespread in integrating Chinese culture into college English courses and there are many problems and challenges in its implementing. Therefore, after discussing the rationales of involving Chinese culture in teaching college English, some suggestions are provided.
A development of an academic leadership model for higher education in India

Academic leadership is one of the major factors that can address the challenges of 21st century and subsequently enhance the quality of higher education. The aim of this study is to develop a model of academic leadership for higher education in India for which it has employed a sequential mixed methods strategy. Qualitative data gathered from the research literature is analyzed by recursive interim content analysis to explore academic leadership. The findings of content analysis are used to develop research instruments. The survey questionnaires collect quantitative data to identify expected and current academic leadership practices in India. Qualitative data is collected through semi-structured interviews. A mix of quantitative and qualitative data is arranged sequentially with the help of Priority Need Index (PNI) technique to determine the criticality and urgency of each component. A model has been developed as an output of the study. It has 14 academic leadership constructs presented under three major facets. The constructs are the key enablers to effective academic leadership. (1) organizational leadership: institutionalizing environmental sustainability, ensuring accountability, setting direction, building networks and relationships, managing diversity and promoting collaboration; (2) leading academics: faculty development, teaching and learning, academic freedom; (3) personal attributes: emotional competencies, knowledge, academic credibility and cognitive capabilities. The model is expected to be a stronghold for the existing and guideline for aspiring academic leaders to handle complex and challenging 21st century higher education institutes.
Mastering jQuery Mobile

Design and develop cutting-edge mobile web applications using jQuery Mobile to work across a number of platforms About This BookCreate spectacular mobile applications using jQuery Mobile to its fullest potentialBuild a complete and customizable professional, standard theme using advanced effects such as ChangePage, PageInit, and SwipeTake your web app to the next level by turning your native application with Apache CordovaWho This Book Is ForYou've started down the path of jQuery Mobile, now begin mastering some of jQuery Mobile's higher level topics. Go beyond jQuery Mobile's documentation and master one of the hottest mobile technologies out there. Previous JavaScript and PHP experience can help you get the most out of this book.What You Will LearnCreate a theme for your jQuery Mobile application by using the ThemeRoller toolTest your application on a variety of resolutions through ScreenflyMaster pages, panels, popups, toolbars, and navbars in jQuery MobileUnderstand how mobile web design best practices can enhance your mobile web applicationAllow your users to navigate pages with a swipe gesture and add transitions and effects to the page changesDiscover how to create jQuery Mobile widgets that will extend the framework to suit your needsSee how Apache Cordova can turn your web application into a native Android or iOS appUse jQuery Mobile with other popular JavaScript frameworks and technologies such as Backbone.js and Node.jsIn DetailjQuery Mobile is a touch-optimized JavaScript framework. Using this framework, we can create mobile web applications using standard web technologies such as HTML5, CSS3, and JavaScript which will function and behave consistently across multiple devices of different form factors.The book starts with you setting up the development environment that will enable you to complete the project that accompanies the book. Furthermore, you will get a brief overview of developing for mobile devices and a brief look at RESS. You will then start putting together a touch-based navigation system as you link pages together and explore the various widgets and controls used to build the project. Finally, some mobile best practices that will benefit you will be looked at as you go deeper into jQuery Mobile development. By the end of the book, you will be well equipped with an extensive knowledge of jQuery Mobile, not only to build applications, but to effectively customize and maintain them.
Snowedout Atlanta: Examining Digital Emergence on Facebook During a Crisis

Individuals in emergencies form spontaneous, emergent groups to respond and recover. With the rise of social media use in crises, academics and professionals must be aware of how groups digitally coordinate emergent response efforts. This paper examines digital emergence through the case of SnowedOut Atlanta, a Facebook group formed during the 2014 ice storms in Atlanta. The posts and actions of the group members are in line with those of traditional emergent groups. For example, group members shared informational, material, and emotional support. The findings also provide implications for practitioners and insight into the communication of such groups. In particular, emergency managers have an opportunity to seek out and partner with these types of groups in future similar events.
Algorithmic issues in computational intelligence optimization : from design to implementation, from implementation to design

Caraffini, Fabio Algorithmic issues in Computational Intelligence Optimization: from design to implementation, from implementation to design Jyväskylä: University of Jyväskylä, 2016, 94 p.(+included articles) (Jyväskylä Studies in Computing ISSN 1456-5390; 243) ISBN 978-951-39-6741-3 (nid.) ISBN 978-951-39-6742-0 (PDF) Finnish summary Diss. The vertiginous technological growth of the last decades has generated a variety of powerful and complex systems. By embedding within modern hardware devices sophisticated software, they allow the solution of complicated tasks. As side effect, the availability of these heterogeneous technologies results into new difficult optimization problems to be faced by researchers in the field. In order to overcome the most common algorithmic issues, occurring in such a variety of possible scenarios, this research has gone through cherry-picked case-studies. A first research study moved from implementation to design considerations. Implementation limitations, such as memory constraints and real-time requirements, inevitably plague the algorithmic design. Such limitations are typical of embedded systems. In this light, a fast and memory-saving “compact” algorithm was designed to be used within microcontrollers. Three robotic applications were subsequently addressed by means of selected single-solution approaches and the proposed compact algorithm. A new memetic computing approach using a micro-population was also designed to tackle large scale problems. In a second moment, the opposite approach, from design to implementation, was employed. As the benefit of metaheuristic optimization is the capability of tackling black-box systems, 6 novel general-purpose optimizers were designed according to different working principles. Their validity was thoroughly tested by means of popular benchmark suites. Finally, a theoretical study concludes this piece of research. The dynamic behaviour of population-based optimization algorithms, such as Genetic Algorithm and Particle Swarm Optimization, was observed. Their general-purpose nature questioned. The presence of an intrinsic structural bias was graphically displayed and rigorously formalized. It was shown that the bias prevent them from equally exploring all the areas of the search space, with a particularly deleterious strength in presence of a large population size.
Public-private differences in incentive structures: a laboratory experiment on work motivation and performance

Abstract In this study, we contribute to a longstanding research agenda on the distinctions between the public and private sectors by examining whether work effort differs between public and private settings, and by testing the ways that sector-specific incentives can address such differences. We extend existing research by developing an advanced psychomotor vigilance task that examines multi-dimensional performance (speed and accuracy) in a laboratory experiment. Drawing from a population that is similar along many dimensions, subjects are recruited into public and private settings on the basis of their motivation (majors they have chosen to study and the types of compensation they receive). Using a two-by-two factorial design of public (public job motivated and non-monetary motivated) and private (monetary-motivated) settings, with and without incentives, our findings indicate that public and private settings differ in performance and response to incentives. Methodologically, we show how the choices that experimental subjects make can be exploited for modeling sectoral differences in a more naturalistic way than with a short-term prime, while preserving the advantages of a controlled laboratory experiment.