Miracle-dz/UniFAR-FTUs huggingface dataset:
A Heuristic and Dynamic Multicast Router Algorithm based on QoS

Summary As the internet developing rapidly, new requirements, such as video on demand and video conference are emerging. QoS based Multicast router arouses widely attention. This paper proposes a Delay-constrained Dynamic Multicast Routing Heuristic Algorithm (DDMRH) with combining FLSPT algorithm and the greedy idea. The emulation test shows that DDMRH algorithm can meet the demand of multicast application that is limited end to end delay and has variable numbers.
Autonomous and Market-Based Fault Tolerant Algorithms for Multi-Robot Cooperation

This paper presents a market-based approach for multi-robot cooperation. The approach uses auctioneering as the decision-making mechanism for assigning robotic tasks. A task may be carried out either by one robot or cooperatively by multiple robots, depending on the task requirements and the available robotic resources. The system autonomously determines the appropriate number of robots and selects the most suitable robots in the fleet to carry out the task, while accommodating partial or full failure of robots during the task execution, in an unknown, dynamic and unpredictable environment. The system does this efficiently by choosing the candidate robot that best matches the demands of the task. The feasibility of the developed scheme is demonstrated by implementing the approach on a team of simulated mobile robots that transport multiple objects to a goal location.
Altered expression and editing of miRNA-100 regulates iTreg differentiation

RNA editing of miRNAs, especially in the seed region, adds another layer to miRNA mediated gene regulation which can modify its targets, altering cellular signaling involved in important processes such as differentiation. In this study, we have explored the role of miRNA editing in CD4+ T cell differentiation. CD4+ T cells are an integral component of the adaptive immune system. Naïve CD4+ T cells, on encountering an antigen, get differentiated either into inflammatory subtypes like Th1, Th2 or Th17, or into immunosuppressive subtype Treg, depending on the cytokine milieu. We found C-to-U editing at fifth position of mature miR-100, specifically in Treg. The C-to-U editing of miR-100 is functionally associated with at least one biologically relevant target change, from MTOR to SMAD2. Treg cell polarization by TGFβ1 was reduced by both edited and unedited miR-100 mimics, but percentage of Treg in PBMCs was only reduced by edited miR-100 mimics, suggesting a model in which de-repression of MTOR due to loss of unedited mir-100, promotes tolerogenic signaling, while gain of edited miR-100 represses SMAD2, thereby limiting the Treg. Such delicately counterbalanced systems are a hallmark of immune plasticity and we propose that miR-100 editing is a novel mechanism toward this end.
THE IDENTITY OF FREEFORM SHAPE FEATURES

The identification of freeform shape features is crucial in shape analysis and design knowledge retrieval. This paper focuses on the exploration of the geometric invariance of a freeform shape feature, and the identity measurements are derived based on the invariant attributes of the Fourier spectrum, including the Fourier shape identity, the normalized Fourier shape identity, the surface curvature-based intrinsic shape identity, and the cumulative shape identity. Effectiveness of these identity definitions is analysed, and efficiencies are evaluated. Working exclusively on the spatial distribution of the freeform feature, the proposed definitions are neutral and independent of low-level geometric representations.
Screening and Characterization of Purine Nucleoside Degrading Lactic Acid Bacteria Isolated from Chinese Sauerkraut and Evaluation of the Serum Uric Acid Lowering Effect in Hyperuricemic Rats

Hyperuricemia is well known as the cause of gout. In recent years, it has also been recognized as a risk factor for arteriosclerosis, cerebrovascular and cardiovascular diseases, and nephropathy in diabetic patients. Foods high in purine compounds are more potent in exacerbating hyperuricemia. Therefore, the development of probiotics that efficiently degrade purine compounds is a promising potential therapy for the prevention of hyperuricemia. In this study, fifty-five lactic acid bacteria isolated from Chinese sauerkraut were evaluated for the ability to degrade inosine and guanosine, the two key intermediates in purine metabolism. After a preliminary screening based on HPLC, three candidate strains with the highest nucleoside degrading rates were selected for further characterization. The tested biological characteristics of candidate strains included acid tolerance, bile tolerance, anti-pathogenic bacteria activity, cell adhesion ability, resistance to antibiotics and the ability to produce hydrogen peroxide. Among the selected strains, DM9218 showed the best probiotic potential compared with other strains despite its poor bile resistance. Analysis of 16S rRNA sequences showed that DM9218 has the highest similarity (99%) to Lactobacillus plantarum WCFS1. The acclimated strain DM9218-A showed better resistance to 0.3% bile salt, and its survival in gastrointestinal tract of rats was proven by PCR-DGGE. Furthermore, the effects of DM9218-A in a hyperuricemia rat model were evaluated. The level of serum uric acid in hyperuricemic rat can be efficiently reduced by the intragastric administration of DM9218-A (P<0.05). The preventive treatment of DM9218-A caused a greater reduction in serum uric acid concentration in hyperuricemic rats than the later treatment (P<0.05). Our results suggest that DM9218-A may be a promising candidate as an adjunctive treatment in patients with hyperuricemia during the onset period of disease. DM9218-A also has potential as a probiotic in the prevention of hyperuricemia in the normal population.
The accumulation buffer: hardware support for high-quality rendering

This paper describes a system architecture that supports realtime generation of complex images, efficient generation of extremely high-quality images, and a smooth trade-off between the two.Based on the paradigm of integration, the architecture extends a state-of-the-art rendering system with an additional high-precision image buffer. This additional buffer, called the Accumulation Buffer, is used to integrate images that are rendered into the framebuffer. While originally conceived as a solution to the problem of aliasing, the Accumulation Buffer provides a general solution to the problems of motion blur and depth-of-field as well.Because the architecture is a direct extension of current workstation rendering technology, we begin by discussing the performance and quality characteristics of that technology. The problem of spatial aliasing is then discussed, and the Accumulation Buffer is shown to be a desirable solution. Finally the generality of the Accumulation Buffer is explored, concentrating on its application to the problems of motion blur, depth-of-field, and soft shadows.
A modification to the Goldstein radar interferogram filter

We present a modification to the adaptive Goldstein radar interferogram filter which improves the quality of interferometry products. The proposed approach makes the Goldstein filter parameter alpha dependent on coherence, such that incoherent areas are filtered more than coherent areas. This modification minimizes loss of signal while still reducing the level of noise.
School–University–Community Collaboration: Building Bridges at the Water's Edge

Students learn best when their out-of-school literacy experiences are incorporated into daily classroom instruction. Teachers who participate in community-based initiatives, develop relationships and acquire knowledge and skills needed for this type of instructional practice. They get to know students, families, and community cultural brokers who can share experiential knowledge that influences literacy teaching and learning. When teachers become a part of the community, they are also able to prepare students to successfully negotiate cultural borders, improve academically, and serve their own communities. This commentary is a call to action for teachers to understand the benefits of community-based initiatives and become active participants.
Optimizing High Performance Software Libraries

This paper describes how the use of software libraries, whic h is prevalent in high performance computing, can benefit from compiler optimizations in much the same way that conven tional computer languages do. We explain how the compilation of these informal languages differs from the compi lation of more conventional computer languages. In particu lar, such compilation requires precise pointer analysis, requi s domain-specific information about the library’s semant ics, and requires a configurable compilation scheme. Finally, we show that the combination of dataflow analysis and pattern matching form a powerful tool for performing configurable an alysis and transformations.
Risk of Exposure to Eastern Equine Encephalomyelitis Virus Increases with the Density of Northern Cardinals

For a variety of infectious diseases, the richness of the community of potential host species has emerged as an important factor in pathogen transmission, whereby a higher richness of host species is associated with a lowered disease risk. The proposed mechanism driving this pattern is an increased likelihood in species-rich communities that infectious individuals will encounter dead-end hosts. Mosquito-borne pathogen systems potentially are exceptions to such “dilution effects” because mosquitoes vary their rates of use of vertebrate host species as bloodmeal sources relative to host availabilities. Such preferences may violate basic assumptions underlying the hypothesis of a dilution effect in pathogen systems. Here, we describe development of a model to predict exposure risk of sentinel chickens to eastern equine encephalitis virus (EEEV) in Walton County, Florida between 2009 and 2010 using avian species richness as well as densities of individual host species potentially important to EEEV transmission as candidate predictor variables. We found the highest support for the model that included the density of northern cardinals, a highly preferred host of mosquito vectors of EEEV, as a predictor variable. The highest-ranking model also included Culiseta melanura abundance as a predictor variable. These results suggest that mosquito preferences for vertebrate hosts influence pathogen transmission.
A Public Key Cryptosystem Based on Pell Equation

RSA type public key cryptosystems based on the Pell’s equation are proposed in the honor of an Indian mathematician Brah-mgupta who studied Pell’s equation long before European mathematicians came to know about it. Three RSA type schemes are proposed, ﬁrst two are not semantically secure where as the other two schemes are semantically secure. The decryption speed of the proposed schemes is about two times as fast as RSA for a 2 log n-bit message. It is shown that the proposed schemes are more secure than the RSA scheme when purely common plaintexts are encrypted in the broadcast application and are as secure as the RSA scheme against ciphertext attack. In addition the proposed schemes are also secure against partially known plaintext attack. First two are not semantically secure but the third one is semantically secure.
Research on Resource Management for Cloud Computing Based Information System

Cloud computing can be widely applied to various IT systems to resolve data backup of current systems, as well as data management, system monitoring and so on for it does well in large scale data handling and distributed system management. Firstly, the architecture for information system based on cloud computing is discussed and the concept hierarchical model for cloud computing based information system is proposed as well as the application architecture. Secondly, the construction methods for information system infrastructure are discussed on the basis of cloud computing, and the framework for the cloud computing based information system infrastructure are proposed as well as the cloudlets relationship architecture. Last but not the least, the resource management mechanism for cloudlets is described. The compound framework integrates hierarchical structure and P2P architecture and combines their characteristics that this construction not only manages massive computers and servers effectively but also shares information within the system efficiently.
A comparison of bandwidth-efficient multiple access to other signal designs for correlated waveform multiple-access communications

There have been several papers in the literature that deal with the design of signature waveforms for use by the transmitters in uplink, single-cell, multiple-access communications. In particular, we consider the approach introduced by Guess and Varanasi (1996, 1997), where the signature waveforms are specifically designed for the centralized multiuser receiver at the base so that each transmitter can be guaranteed a preassigned quality-of-service (QoS) requirement in terms of the received signal-to-interference ratio (SIR). The resulting strategy is called bandwidth-efficient multiple access (BEMA). When all users employ pulse amplitude modulation (PAM) and a common signaling rate, the key question in BEMA is how the waveforms must be designed to occupy as little bandwidth as possible and still meet the QoS objectives. For a strict measure of bandwidth, and for a given set of received powers, this question was addressed by the authors for the maximum SIR decision-feedback (MSIR-DF) receiver of Varanasi and Guess (1998). A similar question was addressed by Viswanath, Anantharam and Tse (see ibid., vol.45, p.1968-1983, Sept. 1999) where, for a sum constraint on the received powers, optimal signature signals and transmit powers were obtained for the linear MSIR receiver (without decision feedback). A somewhat different but related non-QoS approach proposes the design of signature signals that maximize the total capacity of the multiple-access channel under a spreading-gain constraint. This article undertakes a comparison of the minimum bandwidth required (to achieve the QoS requirements) for the signals designed for the MSIR-DF receiver, for the linear MSIR receiver, and for sum-capacity maximization as shown by Viswanath and Anantharam (see ibid., vol. 45, p.1984-1991, Sept. 1999). We show that the bandwidth required for multiuser receivers with decision feedback can be significantly less than that required for linear receivers or for sum-capacity maximization when the MSIR-DF receiver is used.
A zerotree wavelet video coder

This paper describes a hybrid motion-compensated wavelet transform coder designed for encoding video at very low bit rates. The coder and its components have been submitted to MPEG-4 to support the functionalities of compression efficiency and scalability. Novel features of this coder are the use of overlapping block motion compensation in combination with a discrete wavelet transform followed by adaptive quantization and zerotree entropy coding, plus rate control. The coder outperforms the VM of MPEG-4 for coding of I-frames and matches the performance of the VM for P-frames while providing a path to spatial scalability, object scalability, and bitstream scalability.
An anisotropic hp-adaptation framework for functional prediction

This paper presents a method for concurrent mesh and polynomial-order adaptation with the objective of direct minimization of output error using a selection process for choosing the optimal refinement option from a discrete set of choices that includes directional spatial resolution and approximation order increment. The scheme is geared towards compressible viscous aerodynamic flows, in which various solution features make certain refinement options more efficient compared to others. No attempt is made, however, to measure the solution anisotropy or smoothness directly or to incorporate it into the scheme. Rather, mesh anisotropy and approximation order distribution arise naturally from the optimization of a merit function that incorporates both an output sensitivity and a measure of the computational cost of solving on the new mesh. The method is applied to output-based adaptive simulations of the laminar and Reynolds-averaged compressible Navier-Stokes equations on body-fitted meshes in two and three dimensions. Two-dimensional results show significant reduction in the degrees of freedom and computational time to achieve output convergence when discrete choice optimization is used compared to uniform h or p refinement. Threedimensional results show that the presented method is an affordable way of achieving output convergence on notoriously difficult cases such as the third Drag Prediction Workshop W-1 configuration.
Closed String TCFT for Hermitian Calabi-Yau Elliptic Spaces

We describe an explicit action of the prop of the chains on the moduli space of Riemann surfaces on the Hochschild complex of a Calabi-Yau elliptic space. One example of such an elliptic space extends the known string topology operations, for all compact simply-connected manifolds, to a collection indexed by the de Rham currents on the moduli space. Another example pertains to the B-model at all genera.
Store, schedule and switch - A new data delivery model in the big data era

The big data era is posing unprecedented challenges on the existing network infrastructure. In today's networks, data are transferred across the network as a combination of a series of packets, delivered one by one, without considering the data in their entirety with respective service level requirements. The so called elephant data, which may be less sensitive to transfer delay, compete precious network resources with mice data, in most cases from interactive and delay sensitive applications. Consequently, the Quality of Service (QoS) of interactive applications is hard to provision, and the utility of network is low. We propose a new data transfer model to complement the existing per-packet forwarding paradigm. In the new data transfer model, a service level requirement is assigned (by the data source) to each big data transfer request. Instead of transferring these data on per-packet bases immediately upon entering the network, the network stores the data until it find necessary, or enough network resource is available for that transfer. The scheduled data delivery is realized through the use of dynamic circuit switching. We also present some preliminary simulation results of SSS networks.
The stellar content of the XMM-Newton bright serendipitous survey

Context. The comparison of observed counts in a given sky direction with predictions by Galactic models yields constraints on the spatial distribution and the stellar birthrate of young stellar populations. The XMM-Newton Bright Serendipitous Survey (XBSS) is an unbiased survey that includes a total of 58 stellar sources selected in the 0.5–4.5 keV energy band, having a limiting sensitivity of 10 −2 cnt s −1 and covering an area of 28.10 sq deg. Aims. We present the results of analysing the stellar content of the XBSS so as to understand the recent star formation history of the Galaxy in the vicinity of the Sun. Methods. We compared the observations with the predictions obtained with XCOUNT, a model of the stellar X-ray content of the Galaxy. The model predicts the number and properties of the stars to be observed in terms of magnitude, colour, population and fx/fv ratio distributions of the coronal sources detected with a given instrument and sensitivity in a specific sky direction. Results. As in other shallow surveys, we observe an excess of stars not predicted by our Galaxy model. Comparing the colours of the identified infrared counterparts with the model predictions, we observe that this excess is produced by yellow (G+K) stars. The study of the X-ray spectrum of each source reveals a main population of stars with the coronal temperature stratification typical of intermediate-age stars. As no assumptions have been made for the selection of the sample, our results must be representative of the entire solar neighbourhood. Some stars show infrared excess due to circumstellar absorption, which is indicative of youth.
Finding Research Communities and their Relationships by Analyzing the Co-authorship Network

The structure of scientific co-authorship networks can reveal patterns of scientific collaboration. Our study focused on developing a methodology for community finding in co-authorship networks that could reveal the real, i.e., physical, patterns of scientific collaboration, by using two datasets with different collaboration scopes: one considering only collaborations within Japanese research institutions from different research areas, and the other comprising worldwide collaborations in the area of Computer Science.
Some Optimal Error Estimates for Piecewise Linear Finite Element Approximations

It is shown that the Ritz projection onto spaces of piecewise linear finite elements is bounded in the Sobolev space, Wl, for 2 - p < oc. This implies that for functions in wf n W2 the error in approximation behaves like 0(h) in Wp, for 2 ? p < oo, and like 0(h2) in Lp, for 2 - p < oo. In all these cases the additional logarithmic factor previously included in error estimates for linear finite elements does not occur.
Optimizing the data combination rule for seamless phase II/III clinical trials

We consider seamless phase II/III clinical trials that compare K treatments with a common control in phase II then test the most promising treatment against control in phase III. The final hypothesis test for the selected treatment can use data from both phases, subject to controlling the familywise type I error rate. We show that the choice of method for conducting the final hypothesis test has a substantial impact on the power to demonstrate that an effective treatment is superior to control. To understand these differences in power, we derive decision rules maximizing power for particular configurations of treatment effects. A rule with such an optimal frequentist property is found as the solution to a multivariate Bayes decision problem. The optimal rules that we derive depend on the assumed configuration of treatment means. However, we are able to identify two decision rules with robust efficiency: a rule using a weighted average of the phase II and phase III data on the selected treatment and control, and a closed testing procedure using an inverse normal combination rule and a Dunnett test for intersection hypotheses. For the first of these rules, we find the optimal division of a given total sample size between phases II and III. We also assess the value of using phase II data in the final analysis and find that for many plausible scenarios, between 50% and 70% of the phase II numbers on the selected treatment and control would need to be added to the phase III sample size in order to achieve the same increase in power. © 2014 The Authors. Statistics in Medicine published by John Wiley & Sons Ltd.