Miracle-dz/UniFAR-FTUs huggingface dataset:
OSACA-the vendor neutral Control Architecture

Open Controllers rely on vendor neutral specifications which enable the interand exchangeability of control specific software modules. The basis for these open control systems is formed by a standardised system platform, which on the one hand hides system-specific details, like e.g. hardware equipment and operating system, and on the other hand provides a generic, standardised application programming interface. The ESPRIT III project OSACA (Open System Architecture for Controls within Automation systems) has worked out the necessary specifications and has jointly developed the software modules for the system platform. After a general introduction in open control systems the basic functionality of the system platform and the main building blocks are described. The possible impact on industry is described and an overview is given on current and future activities.
Summarizing Emails with Conversational Cohesion and Subjectivity

In this paper, we study the problem of summarizing email conversations. We first build a sentence quotation graph that captures the conversation structure among emails. We adopt three cohesion measures: clue words, semantic similarity and cosine similarity as the weight of the edges. Second, we use two graph-based summarization approaches, Generalized ClueWordSummarizer and PageRank, to extract sentences as summaries. Third, we propose a summarization approach based on subjective opinions and integrate it with the graph-based ones. The empirical evaluation shows that the basic clue words have the highest accuracy among the three cohesion measures. Moreover, subjective words can significantly improve accuracy.
Reflections and diffractions: functions of fiction in curriculum inquiry

Fiction in particular, narration in general, may be seen… as an active encounter with the environment by means of posing options and alternatives, and an enlargement of present reality by connecting it to the unverifiable past and the unpredictable future. A totally factual narrative, were there such a thing, would be passive: a mirror reflecting all without distortion. …but fiction does not reflect, nor is the narrator’s eye that of a camera. … Fiction connects possibilities,… and by doing so it is useful to us. (Ursula Le Guin 1989, pp. 44-5) [F]or me, the most interesting optical metaphor is not reflection and its variants in doctrines of representation. Critical theory is not finally about reflexivity, except as a means to defuse the bombs of the established disorder and its self-invisible subjects and categories. My favorite optical metaphor is diffraction—the noninnocent, complexly erotic practice of making a difference in the world, rather than displacing the same elsewhere. (Donna Haraway 1994, p. 63) My purpose here is to enlarge the provenance of fiction in curriculum inquiry. I argue that fiction clearly is ‘useful to us’ as a ‘means of posing options and alternatives’ and for connecting ‘present reality’ with past and/or future possibilities in curriculum inquiry and, indeed, that our purposes often may be better served by (re)presenting the texts we produce as deliberate fictions rather than as ‘factual’ narratives ‘reflecting all without distortion’. I also argue that some modes of fiction, such as science fiction, can function as a ‘diffracting lens’ for the ‘narrator’s eye’ and thus help us to generate stories which move educational inquiry beyond reflection and reflexivity towards ‘making a difference in the world’. I recognise that ‘reflection’ and ‘reflexivity’ have complex meanings that are not limited to the language of optical metaphors and discourses of seeing. However, in their common uses in educational inquiry, both terms connote self-referentiality, including the use of ‘reflection’ to signify deep thought (as an inward gaze). I take ‘diffraction’ to be a tactical reminder that light can be directed otherwise than back at oneself—especially at one self—that enlightenment can be other than self-referential. In some ways, this essay can be read as a lengthy embellishment on the introductory quotations, since together they encompass my key proposition—that fiction is useful in curriculum inquiry—and introduce two key referents (reflection and diffraction) for my elaboration of some of fiction’s specific uses. These quotations are also pretexts for introducing two key characters in the genealogy of my own fictions and thus serve to position this essay intertextually (especially for readers who already have some familiarity with Le Guin’s and/or Haraway’s work).
Content Locality in Time-Ordered Document Collections

Using newswire data sources from the TREC corpus, we show that the distribution of relevant documents with respect to time can be decidely non-uniform. Many TREC topics show timebased clustering of relevant documents. We denote this clustering content locality and provide a simple metric for its measurement in time-ordered document collections. There is a marked positive correlation between content locality measurements from two time-sychronized data sources. Given this correlation, we show that knowledge of the distribution of content locality in one document source can provide modest improvement in retrieval results in a companion, time-synchronized document source. While this data is preliminary, it illustrates the potential of using time as an additional feature in retrieval.
Integrating instructional technology methodologies in a state of the art industrial control laboratory

Recent observations confirm the escalating concern of the general engineering educational community about enhancing the teaching of traditional control theory courses. The objective of this project is to improve the learning experience in a new industrial control laboratory using the latest techniques in instructional technology by incorporating newly developed software tools in order to better deliver, not only the mathematical foundation, but also to enhance the important relationship of the interdisciplinary nature of a typical introductory control course in engineering. At the University of South Florida, Department of Electrical Engineering, an effort is under way to develop a set of control laboratory experiments in a Web-managed environment to introduce the students to techniques needed for the design and implementation of automatic industrial control systems. The conclusions and future work section estimate the impact of the innovations on the student, teacher and department.
Applied Neuro-Fuzzy using Support Vector Approximation for Stock Prediction

In general case, stock pricing pattern is similar to a noisy pattern with a slow changing curve. The global prediction techniques such as support vector (SV) show good enveloped prediction patterns but they tend to delay the prediction. Fuzzy methods have better local optimizing and show significant within training sets. Unfortunately, these sometimes give the surface oscillation effect at the output. Combining our previous prediction models, output component base (OCB) and output-input iteration (OII), results in significant compromise for stock prediction.
THYMUS-DERIVED (T) CELL IMMUNOGLOBULINS

Quantitation of surface and total cell Ig obtained after lysis by detergent, urea-acid treatment, and freeze-thawing were determined on spleen cells, thymus cells, and spleen cells specifically depleted of B cells. A two- to four-fold increase in measurable Ig was found after cell lysis. All cell populations showed a similar increase in measurable Ig indicating that no discordantly large amounts of buried Ig determinants were associated with the surface of T cells. The lack of appreciable amounts of T cell Ig was confirmed by immunoprecipitation of radioiodinated cells. A theta-positive lymphoma was described which, when grown in culture, lacked detectable surface Ig but contained a receptor site for IgG. This resulted in appreciable amounts of surface IgG being associated with the tumor line when isolated from ascitic fluid of tumor-bearing mice or after preincubation of cultured cells with either heat-aggregated IgG or normal mouse serum.
Research of Middle School Pre-Service Mathematics Teachers’ Mathematical Literacy on PISA Items

This study aims to investigate development of middle school pre-service mathematics teachers’ mathematical literacy through teacher education program on some PISA items. Participants of this qualitative study were 22 pre-service teachers who were at fourth or sixth term. In first section, a test consisted of 5 PISA items was carried out with participants. In second section, clinical interviews with same PISA items lasted approximately ninety minutes were conducted with selected five participants via criterion sampling from 22 graduated participants. Data from test and clinical interviews were analysed by qualitative methods. According to the results of first section, participants had difficulties in mathematization, especially making relations between variables in the problem, interpreting graphics and participants’ mathematical literacy was not desirable. Participants could not progress in mathematical literacy from fourth term to graduation, had still difficulties in mathematization. Besides, participants assessed aims of items in the context of concept knowledge, mathematical abilities related to items not in the context of attaching importance to mathematical literacy. Participants could assess appropriateness of items for middle grades except difficult items for them.
Nanostructured Inorganic Solar Cells

Abstract Recent progress in the development of nanostructured inorganic solar cells is reviewed. Nanostructuring of inorganic solar cells offers the possibility of reducing the cost of photovoltaics by allowing smaller amounts of lower-grade photovoltaic semiconductors to be used. Various fabrication methods used to nanostructure traditional photovoltaic semiconductors are detailed and the performance of resulting devices is discussed. The synthesis of solar cells by solution-based methods using less traditional, abundant materials is identified as a promising route to widescale photovoltaic electricity generation, and nanostructured solar cell geometries are highlighted as essential in this approach. Templating and self-assembling methods used to produce appropriate low-cost nanostructures from solutions are detailed, and the performance of preliminary ultra-low-cost cells made with these structures is reviewed.
A Smoothing Replenishment Policy with Endogenous Lead Times

We consider a two echelon supply chain: a single retailer holds a finished goods inventory to meet an i.i. d. customer demand, and a single manufacturer produces the retailer's replenishment orders on a make-to-order basis. In this setting the retailer's order decision has a direct impact on the manufacturer's production. It is a well known phenomenon that inventory control policies at the retailer level often propagate customer demand variability towards the manufacturer, sometimes even in an amplified form (known as the bullwhip effect). The manufacturer however prefers to smooth production, and thus he prefers a smooth order pattern from the retailer. At first sight a decrease in order variability comes at the cost of an increased variance of the retailer's inventory levels, inflating the retailer's safety stock requirements. However, integrating the impact of the retailer's order decision on the manufacturer's production leads to new insights. A smooth order pattern generates shorter and less variable (production/replenishment) lead times, introducing a compensating effect on the retailer's safety stock. We show that by including the impact of the order decision on lead times, the order pattern can be smoothed to a considerable extent without increasing stock levels. This leads to a situation where both parties are better off.
Fall-back Crust around a Quark-nova Compact Remnant I: the Degenerate Shell Case with Applications to Sgrs, Axps and Xdins

We explore the formation and evolution of debris ejected around quark stars in the Quark Nova scenario, and the application to Soft Gamma-ray Repeaters (SGRs) and Anomolous X-ray Pulsars (AXPs). If an isolated neutron star explodes as a Quark Nova, an Iron-rich shell of degenerate matter forms out of the fall-back (crust) material. Our model can account for many of the observed features of SGRs and AXPs such as: (i) the two types of bursts (giant and regular); (ii) the spin-up and spin-down episodes during and following the bursts with associated persistant increases in Ṗ ; (iii) the energetics of the boxing day burst, SGR1806+20; (iv) the presence of an Iron line as observed in SGR1900+14; (v) the correlation between the far-Infrared and the X-ray fluxes during the bursting episode and the quiescent phase; (vi) the hard X-ray component observed in SGRs during the giant bursts, and (vii) the discrepancy between the ages of SGRs/AXPs and their supernova remnants. We also find a natural evolutionary relationship between SGRs and AXPs in our model which predicts that only the youngest SGRs/AXPs are most likely to exhibit strong bursting. Many features of X-ray Dim Isolated Neutron stars (XDINs) are also accounted for in our model such as, (i) the two-component blackbody spectra; (ii) the absorption lines around 300 eV; and (iii) the excess optical emission. Subject headings: dense matter – accretion, accretion disks – (stars:) pulsars: general – X-rays: bursts
The X.509 certificate quality

The growing number of PKIs (public key infrastructure) and the increasing number of situations where partners of a transaction may carry certificates signed by different CAs (certification authority) point out the problematic of trust between the different CAs. The degree to which a relying party can trust a CA depends upon the quality of its announced policy and its commitment to this policy. In this paper, we present an approach that helps a relying party to assess the quality of a certificate that is related to the quality of CA policy and its commitment to it. We integrate the role of relying party in the evaluation process.
Distributed Throughput Maximization in Wireless Networks Using the Stability Region

In this paper, a game-theoretical framework for the design of distributed algorithms that control the transmission range (TR) of nodes in order to maximize throughput in Wireless Multihop Networks (WMN) is proposed. It is based on the stability region of the link-scheduling policy adopted for the network. The stability region is defined as the set of input-packet rates under which the queues in the network are stable (i.e., positive recurrent). The goal of the TR-control algorithms is to adapt the stability region to a given set of end-to-end flows. In the algorithms, the flows control distributively the nodes' TRs using the stability region in order to enable higher end-to-end packet rates while guaranteeing stability. In order to demonstrate how the algorithms can be designed using the proposed game-theoretical framework, a new TR-control algorithm for IEEE-802.16 WMNs is developed. Its convergence is demonstrated, and a performance bound is calculated. Finally, simulation results show that the algorithm is able to find the optimal TRs more effectively. The TRs achieve throughput levels that are at least 90 percent of the optimal throughput for 72 percent of the simulated scenarios, whereas the classic approach of spatial-reuse maximization does this for 62 percent of the scenarios.
Factorization Machines for Hybrid Recommendation Systems Based on Behavioral, Product, and Customer Data

This study creates a hybrid recommendation system for online offer personalization of an e-commerce company. The system goes beyond existing literature by combining four different data sources, i.e. customer data, product data, implicit and explicit behavioral data, in a single algorithm. Factorization machines are employed as model-based algorithm and have as advantage that the four data sources are incorporated in a single model by feature combination. Results show that hybridization of the four distinct data sources improves accuracy compared to (i) factorization machines based on a single data source and (ii) a real-life company benchmark model using collaborative filtering.
Green growth in NDN: Deployment of content stores

Named-Data Networking architecture relies on cache networks, where nodes store the data for further requests. However, the memory needed at each node called Content Store represents the most significant part of the entire cost of the infrastructure that has to be supported by network providers, making difficult the change from the current Internet infrastructure to a Future Internet based on NDN. Thus, a legitimate question would be: “are all these Content Stores useful in a large-scale NDN network? ” In this paper, we investigate the impact of Content Stores in NDN network, and we evaluate the performances of the NDN architecture according to the number of Content Stores effectively deployed in the network. We show through extensive simulation experiments in NS-3 that only about 50% of nodes with Content Stores is enough to achieve higher level of performances than a fully-deployed NDN network. This result is very important for the deployment of NDN architecture as it shows that the infrastructure cost can be drastically reduced and it is an incentive for network providers that benefits directly from this result.
Online calculation of word-clouds for efficient label summarization

Large amounts of information are available on the Internet in the form of natural language text that can be processed as a stream of documents. Users need solutions that summarize the vast volume of data. Word clouds are a popular graphical representation approach that allows them to obtain such a quick visual summary. Nevertheless, the exact solution to this problem has high memory requirements, and is not scalable as the collection size grows up. In this work, we provide a method for approximate online computation of word clouds to summarize the contents of each label or category of a given text stream, using only the most relevant terms of each document according to some weighting function. We experimentally show that our method, based on sketching techniques, obtains a good performance while using a restricted quantity of memory.
CHARACTERIZING COMPLETE WEAK EFFICIENCY IN MULTIPLE OBJECTIVE LINEAR PROGRAMMING

The phenomenon consisting in all the feasible region of a multiple objective linear programming problem being weakly efficient, may be less unlikely than has been believed, particularly for problems whose feasible regions have no interior. To deal with such possibility of complete weak efficiency, we would want to have at our disposal proficient methods to check this situation. So, in this paper we give a few characterizations of that kind. The provided tests are easily put into practice and can lead us to important procedural simplifications and computational savings, specially if vector maximum or interactive approaches are going to be used in the resolution of a multiple objective linear program.
Hierarchical Brain Systems Support Multiple Representations of Valence and Mixed Affect

We review the psychological literature on the organization of valence, discussing theoretical perspectives that favor a single dimension of valence, multiple valence dimensions, and positivity and negativity as dynamic and flexible properties of mental experience that are contingent upon context. Turning to the neuroscience literature that spans three levels of analysis, we discuss how positivity and negativity can be represented in the brain. We show that the evidence points toward both separable and overlapping brain systems that support affective processes depending on the level of resolution studied. We move from large-scale brain networks that underlie generalized processing, to functionally specific subcircuits, finally to intraregional neuronal distributions, where the organization and interaction across levels allow for multiple types of valence and mixed evaluations.
LMU-ASC-02 / 08 Inflation at the Tip

We study the motion of a (space filling) D3-brane at the tip of a warped deformed conifold, looking for inflationary trajectories. In our setup no anti D3-brane is present and the inflaton potential is induced by threshold corrections to the superpotential. First we study the slow roll regime and find that, allowing for fine tuning, hilltop inflation compatible with CMB data can take place. Then we consider the DBI regime and formulate a necessary condition for a phenomenologically viable inflationary stage. En passant, we propose a mechanism to cancel the large inflaton mass in the standard radial D3-anti D3-brane inflation. e.pajer@physik.uni-muenchen.de ar X iv :0 80 2. 29 16 v1 [ he pth ] 2 0 Fe b 20 08
Effect of Tissue Composition on Dose Distribution in Electron Beam Radiotherapy

Objective The aim of this study is to evaluate the effect of tissue composition on dose distribution in electron beam radiotherapy. Methods A Siemens Primus linear accelerator and a phantom were simulated using MCNPX Monte Carlo code. In a homogeneous cylindrical phantom, six types of soft tissue and three types of tissue-equivalent materials were investigated. The tissues included muscle (skeletal), adipose tissue, blood (whole), breast tissue, soft tissue (9-components) and soft tissue (4-component). The tissue-equivalent materials were water, A-150 tissue-equivalent plastic and perspex. Electron dose relative to dose in 9-component soft tissue at various depths on the beam’s central axis was determined for 8, 12, and 14 MeV electron energies. Results The results of relative electron dose in various materials relative to dose in 9-component soft tissue were reported for 8, 12 and 14 MeV electron beams as tabulated data. While differences were observed between dose distributions in various soft tissues and tissue-equivalent materials, which vary with the composition of material, electron energy and depth in phantom, they can be ignored due to the incorporated uncertainties in Monte Carlo calculations. Conclusion Based on the calculations performed, differences in dose distributions in various soft tissues and tissue-equivalent materials are not significant. However, due to the difference in composition of various materials, further research in this field with lower uncertainties is recommended.
Distributed Computation of Mixing Time

The mixing time of a graph is an important metric, which is not only useful in analyzing connectivity and expansion properties of the network, but also serves as a key parameter in designing efficient algorithms. We present an efficient distributed algorithm for computing the mixing time of undirected graphs. Our algorithm estimates the mixing time τs (with respect to a source node s) of any n-node undirected graph in O(τs log n) rounds. Our algorithm is based on random walks and require very little memory and use lightweight local computations, and work in the CONGEST model. Hence our algorithm is scalable under bandwidth constraints and can be an helpful building block in the design of topologically aware networks.
Developing a Practical Reactive Synthesis Tool: Experience and Lessons Learned

We summarise our experience developing and using Termite, the first reactive synthesis tool intended for use by software development practitioners. We identify the main barriers to making reactive synthesis accessible to software developers and describe the key features of Termite designed to overcome these barriers, including an imperative C-like specification language, an interactive source-level debugger, and a user-guided code generator. Based on our experience applying Termite to synthesising real-world reactive software, we identify several caveats of the practical use of the reactive synthesis technology. We hope that these findings will help define the agenda for future research on practical reactive synthesis.