Miracle-dz/UniFAR-FTUs huggingface dataset:
Electronic Communications of the EASST Volume 17 ( 2009 ) Workshops der Wissenschaftlichen Konferenz Kommunikation in Verteilten Systemen 2009 ( WowKiVS 2009 ) Network Virtualization : Implementation Steps Towards the Future Internet

In this paper we will investigate why and how Network Virtualization (NV) can overcome the shortfalls of the current system and how it paves the way for the Future Internet. Therefore, we will first discuss some major deficiencies and achievements of today’s Internet. Afterwards, we identify three major building blocks of NV: a) the use of application-specific routing overlays, b) the safe consolidation of resources by OS virtualization on a generic infrastructure, and c) the exploitation of the network diversity for performance enhancements and for new business models, such as the provisioning of intermediate nodes or path oracles. Subsequently, we discuss an implementation scheme for network virtualization or routing overlays based on one-hop source routers (OSRs). The capabilities of the combination of NV and OSRs are demonstrated by a concurrent multipath transmission (CMP) mechanism (also known as stripping) for obtaining high throughput transmission pipes. The suggested stripping mechanism constitutes a first instance of a refinement of the concept of NV, the idea of transport system virtualization.
The Grand Challenge of Predictive Empirical Abstract Knowledge

We survey ongoing work at the University of Alberta on an experience-oriented approach to artificial intelligence (AI) based an reinforcement learning ideas. We seek to ground world knowledge in a minimal ontology of just the signals passing back and forth between the AI agent and its environment at a fine temporal scale. The challenge is to connect these low-level signals to higherlevel representations in such a way that the knowledge remains grounded and autonomously verifiable. The mathematical ideas of temporally abstract options, option models, and temporal-difference networks can be applied to begin to address this challenge. This has been illustrated in several simple computational worlds, and we seek now to extend the approach to a physically realized robot. A recent theoretical development is the extension of simple temporal-difference methods to offpolicy forms using function approximation; this should enable, for the first time, efficient and reliable intraoption learning, bringing the goal of predictive empirical abstract knowledge closer to achievement.
The divergent promoters mediating transcription of the par locus of plasmid RP4 are subject to autoregulation

The partitioning region of broad‐host‐range plasmid RP4 contains four genes (parA, parB, parC, and parD) that encode products essential for partition activity. Two divergently arranged promoters located in the rntercistronrc region between parC and parD mediate transcription of these genes. The transcriptional initiation sites for both promoters were determined by primer extension. Transcriptional fusions were used to show that parA, parB, and parCare combined in an operon, while parD constitutes a separate transcription unit. Both parCBA (genes in order of transcription) and parD are negatively autoregulated at the level of transcription by the gene products of parA and parD, respectively. parD promoter mutants which have become insensitive to repression by parD were isolated. Comparison of wild type and the mutant parD promoter sequences indicated that three short repeats are likely involved in the negative regulation of this promoter. Potentially these sequence elements comprise target sites for the ParD protein.
MaxBench: evaluation of sequence and structure comparison methods

SUMMARY MaxBench is a web-based system available for evaluating the results of sequence and structure comparison methods, based on the SCOP protein domain classification. The system makes it easy for developers to both compare the overall performance of their methods to standard algorithms and investigate the results of individual comparisons. AVAILABILITY http://www.sanger. ac.uk/Users/lp1/MaxBench/
Clustering Customer Transactions: A Rough Set Based Approach

An efficient customer behavior analysis is important for good Recommender System. Customer transaction clustering is usually the first step towards the analysis of customer behavior. Traditionally data mining techniques are deployed in order to provide effective recommendation based on large population of customer transactions in real time. Customer transactions are likely to be imprecise and incomplete. Further the transactional dataset are normally dominated by heterogeneous and hierarchical product category preferences. Also the sparsity problem in customer transactions analysis is a big challenge. In this paper, a rough set based clustering approach has been proposed to cluster imprecise customer transactions in the presence of heterogeneous and hierarchical taxonomy of the products. It can also reduce the sparsity problem while analyzing the customer transactions. The algorithm can be used efficiently where a data warehouse is the knowledge source.
Formalizing big data processing lifecycles: Acquisition, serialization, aggregation, analysis, mining, knowledge representation, and information dissemination

In today's e-Business environment, ERP, CRM, collaboration tools, and networked sensors may be characterized as data generators resources. Business Intelligence (BI) is a term that incorporates a range of analytical and decision support applications in business including data mining, decision support systems, knowledge management systems, and online analytical processing; processing data within these systems produce new data that are characterized to grow rapidly causing limitation problem of data management if handled by a Relational Database Management System (RDBMS) or statistical tools. Collectively these structured and unstructured data are referred to as Big Data. Successful and efficient handling of Big Data requires deployment of specific IT infrastructure components as well as adopting an emerging service model. In this research we introduce a conceptual model that abstracts the processing scheme of big data processing lifecycle. The model addresses the main phases of the lifecycle: data acquisition, data serialization, data aggregation, data analysis, data mining, knowledge representation, and information dissemination. The model is driven by projecting Service Oriented Architecture attributes to the building block of the lifecycle and adhering to the Lifecycle Modeling Language specification.
Comparison of clinical outcomes of Chinese men and women after coronary stenting for coronary artery disease: a multi-center retrospective analysis of 4,334 patients

Abstract The outcome differences between Chinese male and female patients within one-year follow-up after percutaneous coronary intervention (PCI) with stent remain unclear. The present study was aimed to compare clinical outcomes in such two populations. From May 1999 to December 2009, 4,334 patients with acute myocardial infarction (MI), unstable angina, stable angina, or silent ischemia, who underwent PCI, were registered at our centers. Among these, 3,089 were men and 1,245 were women. We compared these groups with respect to the primary outcomes of MI and secondary outcomes including a composite of major adverse cardiac events (MACE) including cardiac death, MI, target lesion revascularization, target vessel revascularization (TVR), stent thrombosis (ST), definite ST and probable ST at one-year follow-up. Chinese male patients had a higher MACE rate (13% vs. 10.7%, P = 0.039), mainly led by TVR (9.09% vs. 6.98%, P = 0.024) at one year, which was significantly different than female patients. Chinese male and female patients showed a significant difference on MACEs. However, there was no significant difference with respect to MI between these groups.
Analysis of JestKOD database using affective state annotations

Gesticulation, together with the speech, is an important part of natural and affective human-human interaction. Analysis of gesticulation and speech is expected to help designing more natural human-computer interaction (HCI) systems. We build the JestKOD database, which consists of speech and motion capture recordings of dyadic interactions. In this paper we describe our annotation efforts and present the evaluations that we performed on the annotations of the JestKOD database. These evaluations suggest important findings for usability of the JestKOD database in analysis and modeling of HCI systems.
Serving dynamic groups in application-level multicast

We propose an ALM framework for dynamic groups (such as stock-quote application) in this paper, where users may hop from one multicast group to another quite frequently even though the total pool of users in the system may remain quite stable. Our approach efficiently maintains multiple multicast trees for dynamic subsets of end-hosts, and hence is called subset-ALM (SALM). SALM first builds a relatively stable mesh consisting of all end-hosts for control messaging, which is used to efficiently guide the construction of dynamic overlay trees for data multicast. We choose Delaunay triangulation (DT) as an example for mesh formation, and study various tree construction mechanisms based on the degree of embedding of the tree branches in the mesh (embedded, bypass and intermediate trees). Using simulation on Internet-like topologies, we show that SALM achieves low costs in terms of relative delay penalty and physical link stress, even for large multicast groups (in excess of a thousand end-hosts).
Trypanin, a Component of the Flagellar Dynein Regulatory Complex, Is Essential in Bloodstream Form African Trypanosomes

The Trypanosoma brucei flagellum is a multifunctional organelle with critical roles in motility, cellular morphogenesis, and cell division. Although motility is thought to be important throughout the trypanosome lifecycle, most studies of flagellum structure and function have been restricted to the procyclic lifecycle stage, and our knowledge of the bloodstream form flagellum is limited. We have previously shown that trypanin functions as part of a flagellar dynein regulatory system that transmits regulatory signals from the central pair apparatus and radial spokes to axonemal dyneins. Here we investigate the requirement for this dynein regulatory system in bloodstream form trypanosomes. We demonstrate that trypanin is localized to the flagellum of bloodstream form trypanosomes, in a pattern identical to that seen in procyclic cells. Surprisingly, trypanin RNA interference is lethal in the bloodstream form. These knockdown mutants fail to initiate cytokinesis, but undergo multiple rounds of organelle replication, accumulating multiple flagella, nuclei, kinetoplasts, mitochondria, and flagellum attachment zone structures. These findings suggest that normal flagellar beat is essential in bloodstream form trypanosomes and underscore the emerging concept that there is a dichotomy between trypanosome lifecycle stages with respect to factors that contribute to cell division and cell morphogenesis. This is the first time that a defined dynein regulatory complex has been shown to be essential in any organism and implicates the dynein regulatory complex and other enzymatic regulators of flagellar motility as candidate drug targets for the treatment of African sleeping sickness.
The C. elegans Hand gene controls embryogenesis and early gonadogenesis

The C. elegans genome encodes a single Hand bHLH transcription factor. Either hnd-1(RNAi) or a hnd-1 deletion causes partially penetrant defects in viability and gonadogenesis. Dead embryos and young larvae are often misshapen at the posterior end. Our primary focus has been the role of hnd-1 in gonadogenesis. Wild-type C. elegans has two somatic gonadal precursors and two primordial germ cells in stereotyped positions within its four-celled gonadal primordium. The hnd-1 gene affects the presence and position of both the somatic gonadal precursors and primordial germ cells within the primordium, but does not appear to have any role in later gonadogenesis. hnd-1 probably acts within the somatic gonadal precursors or their mesodermal predecessors; defects in primordial germ cells and germ line appear to be secondary. In hnd-1 mutants, somatic gonadal precursors are generated normally, but are not maintained properly and sometimes die. A similar role in controlling the maintenance of precursor fates has been described for other genes governing early organogenesis, including the zebrafish Hand gene hands off. We also report the discovery of two genes, ehn-1 and ehn-3, that have overlapping functions with hnd-1 in embryogenesis and gonadogenesis.
Fuzzy Adaptive Kalman Filtering based Estimation of Image Jacobian for Uncalibrated Visual Servoing

An image Jacobian estimate method for uncalibrated visual servoing is proposed in this paper. With less or no prior knowledge to robotic parameters and filtering statistics, the method employs a Kalman filter to provide an optimal estimate of the Jacobian elements and fuzzy logic controllers to adjust the Kalman noise covariance matrices Q and R adaptively. The adaptations are performed based on a matching technique of the filter residual mean value and covariance error. It greatly improves the Jacobian estimate adaptability to unknown dynamic imaging applications. A microscopic image Jacobian model has been developed for the 4 degree-of-freedom micromanipulator in our microassembly system. Its Jacobian estimate results demonstrate a good performance of the proposed method
Ranking and selection with unknown correlation structures

We create the first computationally tractable Bayesian statistical model for learning unknown correlations among estimated alternatives in fully sequential ranking and selection. Although correlations allow us to extract more information from each individual simulation, the correlation structure is itself unknown, and we face the additional challenge of simultaneously learning the unknown values and unknown correlations from simulation. We derive a Bayesian procedure that allocates simulations based on the value of information, thus exploiting the correlation structure and anticipating future changes to our beliefs about the correlations. We test the model and algorithm in a simulation study motivated by the problem of optimal wind farm placement, and obtain encouraging empirical results.
Fast Surface Reconstruction with Supervoxels and Sharp Features

This paper proposes a fast surface reconstruction method by using supervoxels. The Point Cloud Data (PCD) acquired from depth sensors is divided into small volumes, and volumes containing sharp features are extracted after filtering isolated points. Then, the clustered supervoxels are used as input to generate triangle meshes of surface maps. No prior knowledge and color data are used in this method, so that the proposed method is suitable for both indoor and outdoor unknown environments. Experiments in large and noisy PCD show that the reconstruction method is reliable and fast.
Approaches towards Emotion Extraction from TEXT

With the growth of internet community, many different textbased documents are produced. This paper presents an overview of the emerging field of emotion detection from text and describes the current generation of detection methods of emotions from the text. Emotion recognition in text is just one of the several dimensions of the task of making the computers make sense of emotions. In this study the main research focus will be on suggestions for designing more efficient and adaptive Natural Language Processing System for the detection of various emotions (sentiment analysis) on the basis of study of important recent techniques.
COPLINK Knowledge Management for Law Enforcement: Text Analysis, Visualization and Collaboration

Crime and police report information is rapidly migrating from paper records to automated records management databases. Most mid and large sized police agencies have such systems that provide access to information by their own personnel, but lack any efficient manner by which to provide that information to other agencies. Criminals show no regard for jurisdictional boundaries and in fact take advantage of the lack of communication across jurisdictions. Federal standards initiatives such as the National Incident Based Reporting System (NIBRS, US Department of Justice 1998), are attempting to provide reporting standards to police agencies to facilitate future reporting and information sharing among agencies as these electronic reporting systems become more widespread.
Transient liquid phase bonding

Abstract A review of the transient liquid phase (TLP) bonding process is presented in this paper. This review concentrates on the mechanisms of the TLP process, including both microstructural development and wettability aspects. However, design related issues and engineering applications are also considered. The paper explains how the TLP bonding process offers the potential for producing joints with microstructures and hence mechanical properties that are similar to those of the parent materials. The process of isothermal solidification is discussed at some length. The paper considers the ways in which specific microstructural features of the substrate material–interlayer material combination influence microstructural development. A distinction is drawn between cases where the progression of isothermal solidification dominates the final microstructure and those where events occurring after the completion of isothermal solidification are paramount. The paper describes the practical limitations on the production of parent-metal-like microstructures and the complexity of microstructural development in real materials, especially where dissimilar substrates are involved. Modification of the TLP bonding process to accommodate cases of limited solid solubility and/or low diffusion coefficients is discussed.
Specific Expression of Activation-induced Cytidine Deaminase (AID), a Novel Member of the RNA-editing Deaminase Family in Germinal Center B Cells*

We have identified a novel gene referred to asactivation-induced deaminase (AID) by subtraction of cDNAs derived from switch-induced and uninduced murine B lymphoma CH12F3-2 cells, more than 80% of which switch exclusively to IgA upon stimulation. The amino acid sequence encoded by AID cDNA is homologous to that of apolipoprotein B (apoB) mRNA-editing enzyme, catalytic polypeptide 1 (APOBEC-1), a type of cytidine deaminase that constitutes a catalytic subunit for the apoB mRNA-editing complex. In vitro experiments using a glutathione S-transferase AID fusion protein revealed significant cytidine deaminase activity that is blocked by tetrahydrouridine and by zinc chelation. However, AID alone did neither demonstrate activity in C to U editing of apoB mRNA nor bind to AU-rich RNA targets. AID mRNA expression is induced in splenic B cells that were activated in vitro or by immunizations with sheep red blood cells. In situ hybridization of immunized spleen sections revealed the restricted expression of AID mRNA in developing germinal centers in which modulation of immunoglobulin gene information through somatic hypermutation and class switch recombination takes place. Taken together, these findings suggest that AID is a new member of the RNA-editing deaminase family and may play a role in genetic events in the germinal center B cell.
Extraction of a Subset of Concepts from the Frequent Closed Itemset Lattice: A New Approach of Meaningful Clusters Discovery

In this paper we present a new idea for the discovery of meaningful clusters from categorical data (which is an usual situation, e.g. web data analysis). Our method extracts a subset of concepts from the frequent closed itemsets lattice, using an evaluation measure. This method is promising, and first experiments give attractive results.
Optimal packing of VoIP calls in an IEEE 802.11 a/e WLAN in the presence of QoS constraints and channel errors

In this paper, we study the performance of VoIP over an IEEE 802.11e network. The contribution of this paper is to understand the advantages and limitations of IEEE 802.11e enhanced distributed coordination channel access (EDCA) as well as HCF coordinated channel access (HCCA) for carrying VoIP traffic. We also study the influence of the backoff window and TXOP size on the capacity of VoIP calls that can be admitted. We provide a closed form solution for the maximum number of VoIP calls that can be admitted subject to the QoS constraints of packet loss and delay. We analyze the HCCA with a simple scheduler and decide the optimal TXOP allocation for VoIP calls. The scenario consisted of all calls originating from a basic services set (BSS) and destined for outside the BSS. For this scenario, we evaluate via simple analysis and simulation, the capability of the IEEE 802.11e MAC to support VoIP in the presence of errors.
Evaluation of Genotype MTBC Assay for Differentiation of Clinical Mycobacterium tuberculosis Complex Isolates

ABSTRACT A commercially available DNA strip assay was evaluated for the ability to differentiate Mycobacterium tuberculosis complex species. M. bovis subsp. bovis, M. bovis subsp. caprae, M. bovis BCG, M. africanum subtype I, and M. microti were unequivocally identified. M. tuberculosis, M. canetti, and M. africanum subtype II showed a unique hybridization pattern.
Early Detection and Mass Trapping of Frankliniella occidentalis 1 and Thrips tabaci 1 in Vegetable Crops

Western flower thrips, Frankliniella occidentalis (Pergande), and onion thrips, Thrips tabaci Lindeman, are economic pest insects of head lettuce, Lactuca sativa L. , and dehydrator onions, Allium cepa L. , in the Imperial Valley, California. Colored sticky traps were evaluated as potential detection and monitoring devices of the two thrip species over a two-month period in 2006. Results showed that blue sticky card traps consistently captured more adult thrips of both species compared to yellow sticky card traps. Numbers of thrips captured on blue sticky traps were positively correlated to numbers captured on yellow sticky traps. Adult thrips were captured in much higher numbers on sticky card traps than recovered from whole plant samples. Significant negative correlations between F. occidentalis numbers on plant samples and colored sticky traps suggest that adults left lettuce plants and were attracted to nearby traps. In addition, the numbers of thrips caught on traps relative to estimated plant populations support the hypothesis that mass trapping was significant in the treated area. Spectroradiometric and RGB (red, green, blue) digital image color analysis of the traps in sunlight showed the blue sticky cards reflected considerably more light in the 400-500 nm range (R = 49, G = 187, B = 255) than the yellow sticky cards that reflected more light in the 550-700 nm range (R = 227, G = 234, B = 67). Because blue sticky card traps captured many times more adult thrips than recovered from whole plant samples, blue traps may be more sensitive in detecting early presence of thrips in lettuce and onion fields.
Efficient traversability analysis for mobile robots using the Kinect sensor

For autonomous robots, the ability to classify their local surroundings into traversable and non-traversable areas is crucial for navigation. In this paper, we address the problem of online traversability analysis for robots that are only equipped with a Kinect-style sensor. Our approach processes the depth data at 10 fps-25 fps on a standard notebook computer without using the GPU and allows for robustly identifying the areas in front of the sensor that are safe for navigation. The component presented here is one of the building blocks of the EU project ROVINA that aims at the exploration and digital preservation of hazardous archeological sites with mobile robots. Real world evaluations have been conducted in controlled lab environments, in an outdoor scene, as well as in a real, partially unexplored, and roughly 1700 year old Roman catacomb.