Miracle-dz/UniFAR-FTUs huggingface dataset:
Powerful music: media, culture and the ‘Third-way’ in New Zealand. A grounded theory analysis of Kiwi FM

The New Zealand radio market is one of the most deregulated in the world. There are no limits on ownership, very few constraints on content and no quotas for local content. New Zealand’s radio environment reflects the strong neo-liberal principles that underpin the open, market-driven New Zealand economy. Political promises and public discussions about the creation of a nationwide commercial-free public radio service for young people had faltered against these principles in the early to mid-2000s with strong opposition from incumbent commercial radio interests decrying government interference in their commercial rights. It was in to this environment in 2005 that one half of the foreignowned radio broadcasting duopoly introduced a radio network into the three main cities that played only New Zealand music – Kiwi FM. Within a year the network had failed to attract sufficient listeners and advertisers to stay on-air and was nearing closure. At this point the Labour government of the day stepped in to save the struggling network by giving it access to temporary free frequencies and funding to make programmes featuring New Zealand music. This was an extraordinary situation in that commercial radio in New Zealand is notable for its focus on producing only programming that will create significant profits for shareholders, rather than public service-type programming benefiting national arts and culture. It was also extraordinary in that the government had intervened to support a commercial company to ensure a failed radio network would survive. This dissertation explores why and how this happened through a grounded theory analysis of the significant amount of official documentation this situation generated, through interviews with key players and other contemporaneous material such as media interviews, blogs and newspaper articles about Kiwi FM. What emerges from this data is evidence of a ‘third-way’ agenda operating in this situation – New Zealand’s version of the then Prime Minister of the United Kingdom, Tony Blair’s ‘Cool Britannia’ appeal to voters in what amounted to public-private partnerships in the cultural sectors of the economy. This ‘third-way’ promise to revitalise a shared sense of nationhood while delivering economic growth through improving the creative industry’s capacity to output marketable culture was echoed in New Zealand. The story of how multinational media company CanWest (owners of Kiwi FM) came to be a partner with the Labour government in promoting New Zealand music demonstrates some of the key issues inherent in this approach. Importantly, these partnerships rely on personal connections and relationships as well as the growing interconnections and shifting power differentials created between governments and officials, businesses and the media. The Kiwi FM story shows that while partnering with businesses in order to achieve cultural-economic goals such as promoting and monetising a national music culture may seem logical
Interactive comment on “ Description and evaluation of the Diat-HadOCC model v 1 . 0 : the ocean biogeochemical component of HadGEM 2-ES ” by Ian Totterdell

This paper proposes a detailed description of the Diat-HadOCC model v1.0 which is a component of the Earth System model developed and used by the Met Office. This model is a quite simple NPZD-type model which represents ocean biogeochemistry based on two phytoplankton groups (miscellaneous phytoplankton and diatoms), one zooplankton group, detritus (with a variable C/N stoichiometry) and three limiting nutrients (inorganic N, Fe, and Si). The model described here is an upgrade of the HadOCC model which was published almost two decades ago (Totterdell and Palmer, 2001). It is being embedded in the Met Office modeling platform since at least the study by Collins et al. (2011). Thus, this model is not particularly new. The manuscript proposes the first detailed description and validation of this model based on simulations performed
Kalman Filtering Approach to Optimize OFDM Data Rate

This study is based on applying a non-linear mapping method, here the unscented Kalman filter; to estimate and optimize data rate resulting from the arrival rate having a Poisson distribution in an orthogonal frequency division multiplexing (OFDM) transmission system. OFDM is an emerging multi-carrier modulation scheme. With the growing need for quality of service in wireless communications, it is highly necessary to optimize resources in such a way that the overall performance of the system models should rise while keeping in mind the objective to achieve high data rate and efficient spectral methods in the near future. In this study, the results from the OFDM-TDMA transmission system have been used to apply cross-layer optimization between layers so as to treat different resources between layers simultaneously. The main controller manages the transmission of data between layers using the multicarrier modulation techniques. The unscented Kalman filter is used here to perform nonlinear mapping by estimating and optimizing the data rate, which result from the arrival rate having a Poisson distribution.
Subtitles in the Second Language Classroom: An experimental study with Norwegian learners of English

This study has explored the use of subtitles in second language acquisition for Norwegian learners of English. We used participants from the VG1 level in upper secondary school; the experiment had two experimental groups and a control group who watched the same video clip with or without subtitles. We found that subtitles aided comprehension of plot in the initial round of testing in addition to the participants’ vocabulary size, and this was established through the use of a simple comprehension questionnaire. We also tested for long term effects of learning by using a word definition task and a lexical decision task and found that the subtitles were not predictors of performance. The participants’ proficiency level was more important as a predictor, through vocabulary size and input interaction. An experiment with back translation for the Norwegian subtitles showed no signs of priming.
Threshold Ring Signatures in the Random Oracle Model (Evolutionary Advancement in Fundamental Theories of Computer Science)

– We improve on the Bresson-Stern-Szydlo threshold ring signature scheme which uses Shamir secret sharing scheme [6] by showing that the security can be proved under a strictly weaker assumption, that $1 \mathrm{S}$ the random oracle model rather than the ideal cipher model. Then $ \mathrm{W}\mathrm{e}\mathrm{p}\mathrm{r}\mathrm{o}\mathrm{i}\mathrm{s}\mathrm{s}\mathrm{m}\mathrm{a}1\mathrm{f}_{\mathrm{C}\mathrm{o}\mathrm{m}\mathrm{p}\mathrm{a}\mathrm{r}\mathrm{e}\mathrm{d}\mathrm{w}\mathrm{i}\mathrm{t}\mathrm{h}}^{\mathrm{o}\mathrm{s}\mathrm{e}\mathrm{a}\mathrm{n}\mathrm{e}\mathrm{f}\mathrm{f}\mathrm{i}\mathrm{c}\mathrm{i}\mathrm{e}\mathrm{n}\mathrm{t}}$ $. ( \begin{array}{ll}n-t\mathrm{O}\end{array})$ threshold ring signature scheme [2], which is infeasible when $t$ is small compared with $n$ .
Spectral resolution and speech understanding in children and young adults with bimodal devices

Tests of spectral modulation detection and speech understanding were administered to children and young adults with hearing loss who use bimodal devices (one cochlear implant and one hearing aid at the non-implanted ear). Spectral modulation detection performance increases with participant’s age, and better speech recognition scores are associated with better audibility (SII or PTA). Copyright by Holly Johanna Bridges 2015
Processing Ambiguous Fault Signals with Three Models of Feedforward Neural Networks

In the industrial technological field, running equipment or processes usually is monitored through automatic diagnosis systems. Within several Tech- nologies for implementing such systems, the artificial neuronal networks are the most successful and widely spread. The data signals coming from the equipments or processes under supervision are interpreted by the neuronal networks so as to diagnose the presence of any fault. In this work three models of artificial neural networks and two methods of training are analyzed so as to establish, based on real experiences, the best combination of the neuronal model and the training method for recognizing in an efficient way the ambiguous patterns of faults.
THE FLUKE DEVICE DRIVER FRAMEWORK

Providing efficient device driver support in the Fluke operating system presents novel challenges, which stem from two conflicting factors: (i) a design and maintenance requirement to reuse unmodified legacy device drivers, and (ii) the mismatch between the Fluke kernel’s internal execution environment and the execution environment expected by these legacy device drivers. This thesis presents a solution to this conflict: a framework whose design is based on running device drivers as usermode servers, which resolves the fundamental execution environment mismatch. This approach introduces new problems and issues, of which the most important are synchronization, interrupt delivery, physical memory allocation, access to shared resources, and performance. We successfully addressed the functional issues, as demonstrated by the fact that the majority of device drivers execute successfully without change and are routinely used by Fluke developers. Based on our experience with the minority of drivers that did require changes, and our experience developing the framework, we propose guidelines for improving device drivers’ portability across different execution environments. Running device drivers in user mode raises serious performance issues but on the whole they were successfully mitigated. We compare the driver performance in Fluke with that in the original legacy systems, in terms of latency, bandwidth, and processor utilization. We find that reasonable performance (between 88–93% of the best-performing Unix systems in a realistic workload) and acceptable processor overhead (between 0–100%) are achievable. The limiting factor is the IPC performance of the underlying Fluke layers. For my wife and kids
Strategic database marketing

Part I: What Has Happened to Marketing? Chapter 1. Why Marketing Needs Database TechnologyChapter 2. Information is Power: How the Database Empowers MarketersPart II: What Database Marketing Is . And How It Works Chapter 3. The ABCs of Database MarketingChapter 4. 15 Ways to Use Your DatabaseChapter 5. Database Marketing in ActionThree Key Building Blocks of a Database System: Data, Technology, and Statistical Techniques Chapter 6. Data: A Database is Only as Powerful as the Data It HousesChapter 7. Data: Developing a Source Data StrategyChapter 8. Technology: Technology Made SimpleChapter 9. Technology: Choosing the Right Technology for Your DatabaseChapter 10. Statistical Techniques: Segmentation--A Key to Understanding Your CustomersChapter 11. Statistical Techniques: Analysis and ModelingPart IV: Managing The Database Chapter 12. Putting Together Your Database Marketing SystemChapter 13. Selling the Database Marketing Program to ManagementStaying Ahead of the Curve: Future Issues in Database MarketingChapter 14. A Pattern for the Future: The Database as a Strategic Resource and Customer Contact MarketingChapter 15. Social Issues in Database Marketing: Environmental Waste and Consumer PrivacyChapter 16. Future Trends in Database Marketing
Unravelling the Evolution of Language

Part 1. Linguistic entities involved in evolution: language and the language faculty the formal grammatical system language in multiple (dis)guises theory of linguistic entities Part 2. Processes of language evolution: co-optation in language evolution preadaptation in language evolution natural selection in language evolution theories of evolutionary processes Part 3. Evidence and argumentation: testability-a litmus test? indirect evidence non-empirical argumentation plausible evolutionary stories theories of the substance of science capstone
SIMFIC: A Simple, Efficient Fallout Prediction Model.

Abstract : Details are given of the basis and mathematical structure of a fast, simple code, SIMFIC, for prediction of local fallout from surface and above surface nuclear weapon explosions. Verification results are presented for five tests shot cases for which observed fallout patterns are available and which cover a yield range of 0.5 to 3380 KT. Prediction accuracy is as high as that obtained from the DELFIC code for these cases. Computing speed is on par with a code currently used for large-scale damage assessment studies. Other computing requirements are discussed briefly. (Author)
On Constructing a Market Consistent Economic Scenario Generator

Recently the insurance industry has started to realise the importance of properly managing options and guarantees embedded in insurance contracts. Interest rates have been low in the last few years, which means that minimum interest rate guarantees have moved from being far out-of-the money to expiring inthe-money. As a result, many insurance companies have experienced solvency problems. Furthermore, insurance rms operating within the European Union will, from the end of 2012, be subject to the Solvency II directive, which places new demands on insurance companies. For example, the valuation of assets and liabilities now needs to be market consistent. One way to accomplish a market consistent valuation is through the use of an economic scenario generator (ESG), which creates stochastic scenarios of future asset returns. In this thesis, we construct an ESG that can be used for a market consistent valuation of guarantees on insurance contracts. Bonds, stocks and real estate are modelled, since a typical insurance company's portfolio consists of these three assets. The ESG is calibrated to option prices, wherever these are available. Otherwise the calibration is based on an analysis of historical volatility. An assessment of how well the models capture prices of instruments traded on the market is made, and nally the ESG is used to compute the value of a simple insurance contract with a minimum interest rate guarantee.
Human Operator Control Strategy Model.

Abstract : Present measures of performance during training are inadequate for sensitively describing cue utilization, for assessing individual differences, and for predicting transfer of training to other tasks. The present research attempted to approach this problem by developing a computer simulation of continuous motor control learning, including a representation of control strategy, and applying the simulation to measurement of human control strategy. Initial demonstration and validation tests indicate that the simulation is able to identify aspects of human control strategy, and that such identification may provide a more sensitive measure of performance. (Author)
Power Conversion Circuitry for Electrostatic Energy Harvester BUSKERUD AND VESTFOLD UNIVERSITY COLLEGE

Energy harvesting is a potential approach to power autonomous wireless sensor systems and electronic circuits. It can potentially replace batteries, reduce the required size of batteries or even make sensors possible where batteries cannot be used. One among several possibilities is to harvesting energy from ambient vibrations. This project focuses on designing a power circuit for electrostatic energy harvesters which is based on the doubler of charge. The advantages of the circuit are very low power loss thanks to a simple structure, achieving high power by maintaining high bias voltage, able to recharge a storage capacitor without using additional circuits. The efficiency of the circuit remarkably depends on the displacement of a proof mass. The thesis carries out the analyses and comparisons between the doubler operation in asymmetrical energy harvesters and that in symmetrical ones to propose many advantages of asymmetrical structures in terms of higher output power and smaller minimum required mass displacement. Furthermore, buck converters with an autonomous MEMS switch or a controlled electronic switch are utilized in order to transfer the energy in the storage capacitor into a load and keep the output power maximal. LTSPICE simulations and experiments show intriguing results of the doubler circuit in symmetrical and asymmetrical energy harvesting systems.
Automatic Software Test Data Generation

In software testing, it is often desirable to find test inputs that exercise specific program features. Finding these inputs manually, is extremely time consuming, especially, when the software being tested is complex. Therefore, there have been numerous attempts automate this process. Random test data generation consists of generating test inputs at random, in the hope that they will exercise the desired software features. Often the desired inputs must satisfy complex constraints, and this makes a random approach seem unlikely to succeed. In contrast, combinatorial optimization techniques, such as those using genetic algorithms, are meant to solve difficult problems involving simultaneous satisfaction of many constraints.
A User's Guide to ARSPIQ: The Univariate Time Series Analysis Program for Autoregressive Spectral Information Quantile Identification.

Abstract : The ARSPIQ (AutoRegressive Spectral Information Quantile identification) program is a modified version of ARSPID, a univariate time series program in the TIMESBOARD Computing Library. ARSPIQ provides various diagnostics in the time and frequency domains to help one determine whether a time series is long, short, or no memory. ARSPIQ is written in FORTRAN and consists of a main program and 58 subprograms, many of which are contained in the TIMESBOARD Computing Library. Many of the subprograms used in the quantile analysis are modified version of those used by the ONESAM program. The basic goal of ARSPIQ is to provide diagnostics to aid in modeling a univariate time series. ARSPIQ is not intended to be a modeling or forecasting program, however. The models produced by ARSPIQ are intended only as guides to formulate more complete, rigorous, or valid models. The author's approach is to run ARSPIQ to obtain useful model building diagnostics and then to employ ARSPID in the more formal model building stage, i.e., estimating parameters and checking residuals. With this goal in mind, ARSPIQ has been made as fully automatic as possible with logical defaults provided when input options are specified to be zero.
Relay diversity techniques for OFDM and MC-CDMA

The future of mobile and personal communications requires a system that can support a large number of users and has the ability to provide high-speed services. Meeting this demand is challenging since wireless communications are subject to these four major constraints: complex fading channels, a scarce usable radio spectrum, and limitations on the power and size of the mobile terminals. Space-time codes, such as the Alamouti/space-time block coding (STBC) and cyclic delay diversity (CDD) can provide diversity and coding gains in multipleinput multiple-output (MIMO) systems over fading channels. However in an ad-hoc network, nodes are often constrained in hardware complexity and size, which makes MIMO systems impractical for certain applications. Cooperative relay diversity schemes have been introduced in an effort to overcome these limitations. Cooperative techniques allow a collection of communication nodes to cooperate with to relay signals amongst each other, effectively creating a virtual antenna array, which combat multipath fading in wireless channels. This thesis investigates relay diversity techniques in cooperative communications, namely the distributed space-time block coding (DSTBC) and relay cyclic delay diversity (RCDD) for OFDM and MC-CDMA systems. The performance analysis of the wireless relay networks under different protocols and fading channels are investigated. We derived the formulas for the symbol error rate (SER) of the investigated schemes in fading channels. Finally, a novel hybrid relay diversity (HRD) is presented for OFDMbased system. This new relay structure addresses the issue of achieving a full spatial and multipath diversity by developing a hybrid for CDD and STBC. Simulation on the system performance of HRD shows the superiority of the technique compared to standalone DSTBC and RCDD.
Dünya Basınında Türkiye İmajı: Güney Kore Örneği

Bu calismanin amaci, Turkiye'nin dunya basinindaki imajinin ortaya cikarilmasidir. Turkiye'nin dunyadaki imajinin belirlenebilmesi icin Turkiye ile yakin iliskisi olmayan ulkelerdeki kamuoyu egilimlerin basin yoluyla tespiti onem tasimaktadir. Bu acidan Guney Kore basininda ortaya cikan Turk imajinin belirlenmesi, Turkiye'nin dunyadaki genel imajinin tespiti icin onemli bir adim olacaktir. Bu calismanin orneklemi olarak Ingilizce gunluk yayin yapan The Korea Times ve The Korea Herald gazeteleri secilmis ve bu gazeteler 1999 ve 2000 yillari boyunca incelenmistir. Elde edilen veriler icerik cozumlemesi yontemiyle degerlendirilip kesin bulgulara ulasilmaya calisilmistir. Turkiye ile ilgili haberler tahlil edilirken “siyaset”, “ekonomi”, “spor”, “tarih/kultur” ve “digerleri” basligi altinda bes ana kategori olusturulmustur. Arastirma sonucunda elde edilen en onemli bulgulardan biri, Guney Kore basininda Turkiye'nin siyasi haberlerle gundemi yogun olarak isgal ettigidir. Daha sonra Turkiye ile ilgili spor ve tarih/kultur haberleri Kore basininda gundeme gelmektedir. Bu calismada elde edilen diger onemli bir sonuc da Turkiye ile ilgili cikan siyasi haberlerin okuyucu uzerinde olumsuz bir etkiye sahip oldugu; spor ve tarih/kulturle ilgili haberlerinin ise olumlu bir izlenim biraktigidir. Ekonomi haberleri Turkiye hakkinda genelde olumlu bir izlenim biraktigi halde, haber yogunlugu acisindan oldukca az gundeme gelmektedir.
E-resources versus traditional teaching models

The paper presents the discussion about the e-resource structure and its influence on the resources’ quality. The thesis we are taking into consideration is as follows: the conformance of e-resource structure with structures suggested by traditional teaching model/models has a strong influence on the quality of this e-resource. To achieve this, the most popular teaching models are analyzed and a proposal of the metamodel useful for e-resources construction is introduced. Keywords— e-learning, e-resource, learning model.
Using sparse CCA for vocabulary selection

Author(s): Torres, David A. | Abstract: A content-based autotagging system is a computer system that automatically annotates multimedia data such as music, images, and video with tags (semantically meaningful text- based tokens) based solely on the multimedia content. When developing an autotagging system, three important design decisions are 1) selecting a vocabulary of tags, 2) choosing a feature-based representation of the multimedia content, and 3) picking a supervised learning framework. If we select a tag that cannot be consistently used to annotate multimedia data based on the multimedia content alone (e.g., inconsistent human annotation), or if the feature representation does not encode the information necessary to annotate the multimedia content, then it is unlikely that the supervised learning framework will be able to successfully annotate novel multimedia content with that tag. This paper proposes an approach to select a vocabulary of tags based on sparse canonical component analysis (sparse CCA). That is, sparse CCA is used to find a set of "acoustically meaningful" tags that are correlated with a chosen feature-based representation of multimedia content. As a result, we find that we are better able to model the selected tags using our supervised autotagging system. In this paper, we specifically focus on music since we are interested in building a content-based music annotation system.