Miracle-dz/UniFAR-FTUs huggingface dataset:
Corporate Social Responsibility And Financial Crisis

This paper studies the effect of financial crisis on Corporate Social Responsibility (CSR) practices and their performance during the financial crisis. Researchers have underlined that CSR practices can act as a radar (Hohnen (2007), could break or be aware of a potential economic and/or a financial shock (Thorme, 2009, Hohnen, 2007) and reduce the risks (Testa, 2008). Starting from the reference literature on CSR this paper empirically analyze Romanian companies listed on Bucharest Stock Exchange (BSE) in order to determine whether the CSR practices can be linked to companies financial performance during an economic downturn. From a total of 81 companies listed on BSE were considered only companies that are active in CSR. The period analyzed is between 2006 and 2012. Results suggests a positive relation between CSR practices and companies financial performance. Moreover this paper underlines the benefits of CSR practices as a strategy for long term business leading to competitive advantage and win-win opportunities.
Attitudes Over Time: Attitude Judgment and Change

Yars ago, Sherifand Hovland (1961) suggested that people who hold an attitude about an object are likely to perceive new information about the object in relation to the attitude. For example, one's prior attitude toward condom use will partially determine the effect of a strong external endorsement for condom f use on one's subsequent attitude. If recipients favor condom use only slightly, the campaign will offer a relatively stronger endorsement than the recipients'. The size of the difference, however, should matter a great deal in predicting the
JACoW : A model-driven generator to automate the creation of HMIs for the CERN gas control systems

A total of 33 gas control applications are currently in production in the LHC Experiments and the CERN accelerator complex. Each application contains around fifty synoptic views and hundreds of plots. In this paper, the entirely model-driven approach followed to generate all these HMIs is presented. The procedure implemented simplifies the creation of these graphical interfaces; allowing the propagation of changes to all visualizations at once in a coherent manner, thus reducing the long-term maintenance effort. The generation tool enables the creation of files of similar content based on templates, specific logic (rules) and variables written in simple userdefined XML files. This paper also presents the software design and the major evolution challenges currently faced, how the functions performed by the tool, as well as the technologies used in its implementation, have evolved while ensuring compatibility with the existing models.
Children with Reading Disabilities and Outdoor Education

﻿This study explore if children with reading disabilities have differences in experiences and show different behaviors during indoor school and outdoor education in Norway. In the first study children with reading disabilities are compared with the rest of the classes in how they report wellbeing in different school settings. Thirty children participated in this study. In the second study the answers from the six children with various degrees of reading disabilities were analyzed further, and qualitative observations of their behavior, both indoor and outdoor, were analyzed. The studies reveal that outdoor education can reduce the amount of unpleasant elevated arousal. Unpleasant elevated arousal can lead to internalized and externalized problem behavior for the group of children with reading disabilities.
The effect of social media multitasking on classroom performance

The purpose of this study is to investigate whether off-task multitasking activities with mobile technologies, specifically social networking sites and short messaging services, used during real-time lectures have an effect on grade performance in higher education students. Two experimental groups and one control group were used in this research. While participants in experimental groups 1 and 2 were allowed to navigate Facebook and to exchange short messaging service messages via mobile phones during real time in class lecturing, the control group participants were allowed to take notes using only pen and paper in the same lecturing conditions during three consecutive experimental sessions. The results showed that when students were given the opportunity of non-lecture-related multitasking using mobile phones writing/sending short messaging services and looking at Facebook profiles/reading news feed/looking at shared multimedia/reading wall messages during the lecture, their grade performance was hindered compared to traditional pen and paper note-taking. Engaging in social media use while trying to follow instruction may reduce learners’ capacity for cognitive processing causing poor academic performance.
SWARE: A Methodology for Software Aging and Rejuvenation Experiments

Reliability and availability are mandatory requirements for numerous applications. Technical apparatus to study system dependability is essential to support software deployment and maintenance. Software aging is a related issue in this context. Software aging is a cumulative process which leads systems with long-running execution to hangs or failures. Software rejuvenation is used to prevent software aging problems. Software rejuvenation actions comprise system reboot or application restart to bringing software to a stable fresh state. This paper proposes a methodology to conduct software aging and software rejuvenation experiments. The approach has three phases: (i) Stress Phase - stress environment with the accelerated workload to induce bugs activation; (ii) Wait Phase - stop workload submission to observe the system state after workload submission; (iii) Rejuvenation Phase - find the impacts caused by the software rejuvenation. We named our methodology as SWARE (Stress-Wait-Rejuvenation). To validate the SWARE methodology, we present a case study. This case study consists of an experiment of VM Live Migration as rejuvenation mechanism for VMM software aging. The considered testbed is a Private Cloud with OpenNebula and KVM 1.0. The obtained results show that VM live migration is useful as rejuvenation for VMM software aging.
Gear Fault Diagnosis Based on BP Neural Network

Gear transmission is more complex, widely used in machinery fields, which form of fault has some nonlinear characteristics. This paper uses BP neural network to train the gear of four typical failure modes, and achieves satisfactory results. Tested by using test data, test results have an agreement with the actual results. The results show that the BP neural network can effectively solve the complex state of gear fault in the gear fault diagnosis.
Why Governments Intervene: Exploring Mixed Motives for Public Policies on CSR

Why are national governments increasingly adopting policies on Corporate Social Responsibility (CSR)? Government CSR policies have been explained either as a means of substituting or supporting (mirroring) domestic political-economic institutions and policies, or as a means for government to promote international competitiveness of domestic businesses. Both sets of explanations see governments as driving CSR policies to meet particular national government goals. Support is found for the thesis that CSR policies are often related to international competitiveness, yet our findings suggest that government goals in this regard are not necessarily pre-defined.
Support for Programming Models in Network-on-Chip-based Many-core Systems

This thesis addresses aspects of support for programming models in Networkon-Chip-based many-core architectures. The main focus is to consider architectural support for a plethora of programming models in a single system. The thesis has three main parts. The first part considers parallelization and scalability in an image processing application with the aim of providing insight into parallel programming issues. The second part proposes and presents the tile-based Clupea many-core architecture, which has the objective of providing configurable support for programming models to allow different programming models to be supported by a single architecture. The architecture features a specialized network interface processor which allows extensive configurability of the memory system. Based on this architecture, a detailed implementation of the cache coherent shared memory programming model is presented. The third part considers modeling and evaluation of the Clupea architecture configured for support for cache coherent shared memory. An analytical model and the MC sim simulator, which provides detailed cycle-accurate simulation of many-core architectures, have been developed for the evaluation of the Clupea architecture. The evaluation shows that configurability causes a moderate increase of the application execution time. Considering the improved flexibility, this impact is considered acceptable as the architecture can potentially exploit application-specific optimizations and offers a valuable platform for comparing programming models.
Feedback Cache Mechanism for Dynamically Reconfigurable VLIW Processors

Very Long Instruction Word (VLIW) architectures are commonly used in application-specific domains due to their parallelism and low-power characteristics. Recently, parameterization of such architectures allows for runtime adaptation of the issue-width to match the inherent Instruction Level Parallelism (ILP) of an application. One implementation of such an approach is that the event of the issue-width switching dynamically triggers the reconfiguration of the data cache at runtime. In this paper, the relationship between cache resizing and issue-width is well investigated. We have observed that the requirement of the cache does not always correlate with the issuewidth of the VLIW processor. To further coordinate the cache resizing with the changing issue-width, we present a novel feedback mechanism to "block" the low yields of cache resizing when the issue-width changes. In this manner, our feedback cache mechanism has a coordinated effort with the issue-width changes, which leads to a noticeable improvement of the cache performance. The experiments show that there is 10% energy savings as well as a 2.3% cache misses decline on average achieved, compared with the cache without the feedback mechanism. Therefore, the feedback mechanism is proven to have the capability to ensure more benefits are achieved from the dynamic and frequent reconfiguration.
Ultrasonic measuring device

PURPOSE: To conform to a wide measuring range by removing the group of digitized digital values between continued basic echo components from the digital value to be processed between continued pulses. CONSTITUTION: An ultrasonic transducer 21 has an ultrasonic probe 23 for transmitting an ultrasonic signal and receiving a reflected echo, and a control circuit 25 for controlling the probe 23 and a clock 25. The digitizer 27 of an A/D converter 26 converts the echo signal from the control circuit 24 to a digital value to be stored in a buffer memory 28. A processor 29 controls the operation of the digitizer 27, the storage of the digital value to the buffer memory 28, and the transfer to a calculating device 22. This ultrasonic measuring device 20 can remove the group of digitized digital values between continued basic echo components from the digital value to be processed between continued pulses. Thus, the number of digital values from each echo signal which is needed to be processed in actual time between continuous ultrasonic pulses can be minimized. COPYRIGHT: (C)1994,JPO
Performance modelling of imaging service from earth observation satellites

The satellite imaging service used to be very expensive and mainly explored by government for civil and military applications. With the development and commercialisation of space industry, there is increasing demand on the timely satellite imagery service. Therefore the performance analysis of the service delivery delay of the satellite imaging system becomes important. Currently the performance of satellite imaging service is mostly analysed based on system simulation results or real sample data from service providers, which are usually accurate but not systematic. Also the effects of system parameters are not direct viewing. Theoretical modelling approach, however, captures the feature of the system and provides direct systematic performance evaluation, which is a useful guide in designing satellite system according to the user's requirements in timely service delivery. Therefore this work is motivated to model the satellite imaging system analytically. In this work we consider a satellite imaging system with single satellite, single ground station and limited onboard storage. Queueing theory is applied for the performance modelling. Since there are two tandem service stages: image capture and image download, the system is modelled using a two-node tandem queue with blocking. At first we propose a continuous-time two-dimensional Markov chain for describing the satellite imaging system. The model works well but has its limitations and disadvantages. In order to have a better model for the satellite imaging system, we conduct a further research on the service mechanism of the image capture and image download. Using satellite geometric models, we derive the stochastic features of image capture and download service, in terms of the probability of having an operation opportunity each orbital period, and the probability distribution of the inter-time between operation opportunities. We propose discrete-time clocking models for the image capture and download service respectively, with queue status defined on a discrete-time orbit- by-orbit basis, and with transition probabilities between system states derived from the stochastic analysis. We then concatenate these two queues and propose a tandem clocking model for the complete satellite imaging service system. The discrete-time clocking models have been evaluated by comparison with simulation results using different target location distributions. The models are proven to be very successful for general distributed target locations, with above 95% high accuracy for the mean system queue length. Using the tandem clocking model, we conduct performance analysis for the key service performance measure: average waiting time, and also investigate system parameters' effects on the system performance. With this work, we are enabled to provide information about the general performance of a satellite imaging system, which caters to the customer's concern and also is very helpful for system optimisation in satellite design and control.
Mastering Unit Testing Using Mockito and JUnit

An advanced guide to mastering unit testing using Mockito and JUnit Overview Create meaningful and maintainable automated unit tests using advanced JUnit features and the Mockito framework Build an automated continuous integration environment to get real-time feedback on broken code, code coverage, code quality, and integration issues Covers best practices and presents insights on architecture and designs to create faster and reliable unit testing environments In Detail It is insanity to keep doing things the same way and expect them to improve. Any program is useful only when it is functional; hence, before applying complex tools, patterns, or APIs to your production code, checking software functionality is must. Automated JUnit tests help you verify your assumptions continuously, detect side effects quickly, and also help you save time. This book will provide the skills you need to successfully build and maintain meaningful JUnit test cases. You will begin with how to use advanced JUnit 4 features, improve code coverage, automate JUnit tests, monitor code quality, write JUnit tests for the database and web tier refactor legacy code, mock external dependencies using Mockito, and write testable code using test-driven development. By sequentially working through the steps in each chapter, you will quickly master the advanced JUnit features. What you will learn from this book Write advanced JUnit test cases using advanced JUnit 4 features Automate JUnit test cases using Gradle, Maven, and Ant scripting Practice continuous integration with Jenkins and Ant, Maven, and Gradle scripting Monitor code quality with the SonarQube dashboard Analyze static code using PMD, Checkstyle, and FindBugs Master code coverage with Clover, Cobertura, EclEmma, and JaCoCo Design for testability and refactor legacy code Practice test-driven development with Mockito Approach A practical and easy-to-follow, yet comprehensive, guide to learning advanced JUnit testing. Each topic is explained and placed in context, and for the more inquisitive, there are more details of the concepts used.
Memahami Penggunaan UML (Unified Modelling Language)

Unified Modelling Language merupakan alat perancangan sistem yang berorientasi pada objek. Secara filosofi kemunculan UML diilhami oleh konsep yang telah ada yaitu konsep permodelan Object Oriented (OO), karena konsep ini menganalogikan sistem seperti kehidupan nyata yang didominasi oleh obyek dan digambarkan atau dinotasikan dalam simbol-simbol yang cukup spesifik maka OO memiliki proses standard dan bersifat independen. UML diagram memiliki tujuan utama untuk membantu tim pengembangan proyek berkomunikasi, mengeksplorasi potensi desain, dan memvalidasi desain arsitektur perangkat lunak atau pembuat program. Komponen atau notasi UML diturunkan dari 3 (tiga) notasi yang telah ada sebelumnya yaitu Grady Booch, OOD (Object-Oriented Design), Jim Rumbaugh, OMT (Object Modelling Technique), dan Ivar Jacobson OOSE (Object-Oriented Software Engineering). UML mempunyai tiga kategori utama yaitu struktur diagram, behaviour diagram dan interaction diagram. Dimana masing-masing kategori tersebut memiliki diagram yang menjelaskan arsitektur sistem dan saling terintegrasi.
Personalization in online services measurement, analysis, and implications

of the Dissertation Personalization in Online Services Measurement, Analysis, and Implications by Aniko Hannak Doctor of Philosophy in Computer Science Northeastern University, April 2016 Dr. Alan Mislove, Adviser Since the turn of the century more and more of people’s information consumption has moved online. The increasing amount of online content and the competition for attention has created a need for services that structure and filter the information served to consumers. Competing companies try to keep their customers by finding the most relevant and interesting information for them. Thus, companies have started using algorithms to tailor content to each user specifically, called personalization. These algorithms learn the users’ preferences from a variety of data; content providers often collect demographic information, track user behavior on their website or even on third party websites, or turn to data brokers for personal data. This behavior has created a complex ecosystem in which users are unaware of what data is collected about them and how it is used to shape the content that they are served. In most cases personalization is useful for the users but there have been articles in the press with worrying examples of price discrimination or the Filter Bubble Effect. While this has triggered some awareness among the general public, it also made users realize how little control they have over their data and the form of the web they are presented. Meanwhile legal scholars and policy makers expressed concerns about algorithms’ power to systematize biases and reduce accountability [15]. Unfortunately, detecting the negative consequences or measuring large-scale effects is in practice very challenging, as we still lack the tools and techniques for it. My work starts with developing a methodology that will allow me to investigate personalization on any chosen content-based web service. With the help of this methodology I measure personalization on several services in two large sectors, search engines and e-commerce sites. In my investigation about search engines I find that, on average, 11.7% of results show differences due to personalization on Google, while 15.8% of results are personalized on Bing, but
A Method for Autonomous Power Balance of DC Microgrid with Photovoltaic and Storage System

DC microgrid with photovoltaic and energy storage has been attracted widespread attention due to its high reliability and flexibility. In order to solve the problem that the power of DC microgrid cannot be self balanced due to the no uniformity and uncertainty of the output of photovoltaic power in the photovoltaic DC storage microgrid. In this paper, a power balance control method based on the DC bus voltage signal autonomous switching mode is proposed, this method can effectively stabilize the power fluctuation and maintain the power balance in the network, and enhance the safe and reliable operation ability of the optical storage DC microgrid. Finally, the feasibility and effectiveness of the proposed control method are verified by experiments.
Comparison of Digital PWM Control Strategies for High Power Interleaved DC-DC Converters

Three pulse-width-modulation (PWM) digital control approaches are evaluated to provide the current sharing between phases in high-power dual-interleaved DC–DC converters. The implementation of a digital peak current, multi-sample averaged current and an enhanced single-sample averaged current control in a TMS320F28377D is described. A summary of stability requirements is provided for designing the controllers and experimental results from a 60 kW, 75 kHz silicon carbide DC–DC converter are used to evaluate the steady-state and dynamic performance of the three control methods. Overall the best performance in terms of tracking and speed of response was achieved by the enhanced single-sample method. The multisampled technique provided the highest tracking accuracy, but at the expense of the slowest dynamic response. The fastest dynamic response was achieved by the digital peak current control, but this method is limited by poor noise immunity and instability for duty ratios in the region of 0.5.