Miracle-dz/UniFAR-FTUs huggingface dataset:
External Plagiarism Detection using Information Retrieval and Sequence Alignment - Notebook for PAN at CLEF 2011

This paper describes the University of Sheffield entry for the 3rd International Competition on Plagiarism Detection which attempted the monolingual external plagiarism detection task. A three stage framework was used: preprocessing and indexing, candidate document selection (using an Information Retrieval based approach) and detailed analysis (using the Running Karp-Rabin Greedy String Tiling algorithm). The submitted system obtained an overall performance of 0.0804, precision of 0.2780, recall of 0.0885 and granularity of 2.18 in the formal evaluation.
A Carrier-Based PWM Technique for Capacitor Voltage Balancing of Single-Phase Three-Level Neutral-Point-Clamped Converters

In this paper, a pulsewidth-modulation (PWM) technique with neutral point capacitor voltage balancing in single-phase neutral-point-clamped converters is presented. The technique is based on the injection of a common-mode voltage signal into the sinusoidal modulating signals of the conventional carrier-based PWM. Although several strategies have been reported for such a problem by using the voltage signal injection, the proposed method is very simple with easy implementation. A set of equations is presented to demonstrate how the injected voltage signal introduces a dc component on the neutral-point current, which can be controlled in order to allow the capacitor voltages balancing.
The unscented Kalman Filter for the Estimation the States of The Boiler-Turbin Model

Abstract— In many cases interesting dynamic are not linear by nature, so the traditional Kalman filter cannot be applied in estimating the state of such a system. In these kinds of systems, both the dynamics and the measurement processes can be nonlinear, or only one of them. In this paper, an extension to the traditional Kalman filter will be described, which can be applied for estimating nonlinear dynamic systems, that is called Unscented Kalman filter (UKF) based on the unscented transformation of the joint distribution. Then this method is used for the estimation of the states of the BoilerTurbin Model. Simulation results show the effectiveness of this method.
The Influence of Sandstorms and Long-Range Transport on Polycyclic Aromatic Hydrocarbons (PAHs) in PM2.5 in the High-Altitude Atmosphere of Southern China

PM2.5 (Particulate Matter 2.5) samples were collected at Mount Heng and analyzed for polycyclic aromatic hydrocarbons (PAHs). During sampling, a sandstorm from northern China struck Mount Heng and resulted in a mean PM2.5 concentration of 150.61 μg/m3, which greatly exceeded the concentration measured under normal conditions (no sandstorm: 58.50 μg/m3). The average mass of PAHs in PM2.5 was 30.70 μg/g, which was much lower than in the non-sandstorm samples (80.80 μg/g). Therefore, the sandstorm increased particle levels but decreased PAH concentrations due to dilution and turbulence. During the sandstorm, the concentrations of 4- and 5-ring PAHs were below their detection limits, and 6-ring PAHs were the most abundant. Under normal conditions, the concentrations of 2-, 3- and 6-ring PAHs were higher, and 4- and 5-ring PAHs were lower relative to the other sampling sites. In general, the PAH contamination was low to medium at Mount Heng. Higher LMW (low molecular weight) concentrations were primarily linked to meteorological conditions, and higher HMW (high molecular weight) concentrations primarily resulted from long-range transport. Analysis of diagnostic ratios indicated that PM2.5 PAHs had been emitted during the combustion of coal, wood or petroleum. The transport characteristics and origins of the PAHs were investigated using backwards Lagrangian particle dispersion modeling. Under normal conditions, the “footprint” retroplumes and potential source contributions of PAHs for the highest and lowest concentrations indicated that local sources had little effect. In contrast, long-range transport played a vital role in the levels of PM2.5 and PAHs in the high-altitude atmosphere.
MIMO Antennas for Mobile Terminals

1  Abstract—Recently, Multiple-Input and Multiple-Output (MIMO) technology has attracted much attention both in industry and academia due to its high data rate and high-spectrum efficiency. By increasing the number of antennas at the transmitter and/or the receiver side of the wireless link, the diversity/MIMO techniques can increase wireless channel capacity without the need for additional power or spectrum in rich scattering environments. However, due to the limited space of small mobile devices, the correlation coefficients between MIMO antenna elements are very high, and the total efficiencies of MIMO elements degrade severely. Furthermore, the human body may give high absorbance of electromagnetic waves. During application, the presence of users may result in the significant reduction of the total efficiencies of the antenna and highly affects the correlations of MIMO antenna systems. In this review paper, recent technologies that aim to improve MIMO antenna performance are reviewed for mobile terminals. The interactions between a MIMO antenna and human body are also reviewed for mobile terminals.
Interaction of CD31 with a heterophilic counterreceptor involved in downregulation of human T cell responses

CD31 is a 130-kD glycoprotein of the immunoglobulin (Ig) superfamily expressed on the surface of endothelial cells, platelets, and several leukocyte subsets. Previous reports indicated that CD31 can mediate intercellular adhesion via both homophilic and heterophilic interaction mechanisms. Using a soluble recombinant CD31-Ig fusion protein (CD31 receptor globulin [Rg]), we demonstrate here that human CD31- T lymphocytes and CD4+CD31- T cell clones express a heterophilic CD31 ligand that is upregulated 18 h after activation. Interaction of CD31Rg with CD31- T helper cell (Th) clones was divalent cation independent but could be blocked by heparin, thus indicating that the CD31 counterreceptor on T cells can be distinguished from the ligands identified on other cell types. Moreover, a single chain protein of 120 kD was precipitated by CD31Rg from the lysates of CD31- Th clones. CD31Rg completely downregulated the proliferative response and cytokine production (interleukin-4, interferon-gamma, and tumor necrosis factor- alpha) of CD31- Th clones when the cells were maximally stimulated via immobilized CD3 monoclonal antibody. These results suggest that interaction of CD31 with a heterophilic counterreceptor on T lymphocytes can interfere with a positive regulatory pathway of T cell activation, or directly signal T cells to downregulate immune function.
Production Scheduling with Complex Precedence Constraints in Parallel Machines

Heuristic search is a core area of artificial intelligence and the employ- ment of an efficient search algorithm is critical to the performance of an intelli- gent system. This paper addresses a production scheduling problem with complex precedence constraints in an identical parallel machines environment. Although this particular problem can be found in several production and other scheduling applications; it is considered to be NP-hard due to its high computational com- plexity. The solution approach we adopt is based on a comparison among several dispatching rules combined with a diagram analysis methodology. Computational results on large instances provide relatively high quality practical solutions in very short computational times, indicating the applicability of the methodology in real life production scheduling applications.
Polyphyllin I inhibits the growth of ovarian cancer cells in nude mice

Polyphyllin I (PPI) is an active component in Rhizoma Paridis, which displays extensive pharmacological antitumor activities. In a previous study, we found that polyphyllin I exhibited inhibitory effects on cell growth in the human ovarian cancer HO-8910PM cell line, as well as promoting apoptosis and the inhibition of cell migration. Furthermore, gene expression was also profiled by microarray, which showed that numerous genes were altered by PPI; three genes were of particular note that were associated with tumor progression, namely, Caspase-9, C-jun and Wnt5a. In the present study, the effect of PPI on subcutaneous tumor growth (HO-8910PM cells) in nude mice was further evaluated, and immunohistochemistry and reverse transcription polymerase chain reaction (RT-PCR) were used to examine the expression of Caspase-9, C-jun and Wnt5a in subcutaneous and lung metastatic tumor tissues, in order to investigate the possible mechanisms involved. The results showed that PPI significantly inhibited the tumor growth in vivo without a marked impact on body weight, and through use of immunohistochemical staining and RT-PCR, it was found that the expression of Caspase-9 and Wnt5a was decreased, while the expression of C-jun was increased, in subcutaneous and lung metastatic tumor tissue; this was consistent with the in vitro results. In conclusion, the present study showed that PPI exerted antitumor activity on ovarian cancer cells in vivo, and indicated that the modulation of Caspase-9, C-jun and Wnt5a may be involved in the antitumor effect of PPI.
On the Dynamics of Topic-Based Communities in Online Knowledge-Sharing Networks

Online knowledge-sharing networks, such as wikis and Question-Answering (Q&A) portals, offer a rich environment where people can collaborate and share knowledge on specific topics pertaining to their interests and expertise. The continued collaboration of groups of users who share interests in the same topics essentially make up communities, which are here referred to as topic-based communities. Analyzing the dynamics of such communities is key to understanding network processes such as the flow of users and information in the network. In this paper, we study how users relate to topic-based communities and how such relationship shapes long-term community dynamics. Using a large dataset collected from Stack Overflow, a popular programming oriented Q&A site, we investigate several factors related to the evolution of communities in the site, such as user participation and the importance of revisits for community sustainability. Moreover, we develop a model to describe community evolution based on user activity which incorporates key aspects of community dynamics, including member revisits and the flow of users across related communities.
A PRODUCTIVITY IMPROVEMENT EVALUATION MODEL BY INTEGRATING AHP , TOPSIS AND VIKOR METHODS UNDER FUZZY ENVIRONMENT

Productivity is one of the most significant factors in an organization’s general performance. Regarding to the key role of banking industry in economic, social and political development, productivity improvement on each of its branches will be an effective factor for society productivity improvement. Productivity improvement in organizations is as one of executive managers and decision makers’ main challenges in each country. Multiple criteria decision-making (MCDM) research has developed rapidly and has become a main area of research for dealing with complex decision problems. FAHP, TOPSIS, VIKOR and SAW are used as MCDM techniques in the present study. The proposed method enables decision analysts to better understand the complete evaluation process and provide a more accurate, effective and systematic decision support. In this paper, we study the importance degree of three effective dimensions (human resource, financial and management performance) on productivity improvement and also their sub criteria in state-owned, partially private and private banks in Iran. Fuzzy Analytic Hierarchy Process (FAHP) is applied for evaluating productivity improvement. TOPSIS, VIKOR and SAW are utilized for ranking the three mentioned banks. Our results indicate that among three mentioned productivity dimensions, management performance productivity is of the greater importance than human resource and financial productivity and private banks have gained the highest priority of all.
On the performance of selection decode-and-forward relay networks over Nakagami-m fading channels

In this paper, we present the performance of fixed decode-and-forward cooperative networks with relay selection over independent but not identically distributed Nakagami-m fading channels, with integer values of the fading severity parameter m. Specifically, closed-form expressions for the symbol error probability and the outage probability are derived using the statistical characteristic of the signal-to-noise ratio. We also perform Monte-Carlo simulations to verify the analytical results.
A Design Framework for Mapping Vectorized Synchronous Dataflow Graphs onto CPU-GPU Platforms

Heterogeneous computing platforms with multicore central processing units (CPUs) and graphics processing units (GPUs) are of increasing interest to designers of embedded signal processing systems since they offer the potential for significant performance boost while maintaining the flexibility of software-based design flows. Developing optimized implementations for CPU-GPU platforms is challenging due to complex, inter-related design issues, including task scheduling, interprocessor communication, memory management, and modeling and exploitation of different forms of parallelism. In this paper, we present an automated, dataflow based, design framework called DIF-GPU for application mapping and software synthesis on heterogeneous CPU-GPU platforms. DIF-GPU is based on novel extensions to the dataflow interchange format (DIF) package, which is a software environment for developing and experimenting with dataflow-based design methods and synthesis techniques for embedded signal processing systems. DIF-GPU exploits multiple forms of parallelism by deeply incorporating efficient vectorization and scheduling techniques for synchronous dataflow specifications, and incorporating techniques for streamlining interprocessor communication. DIF-GPU also provides software synthesis capabilities to help accelerate the process of moving from high-level application models to optimized implementations.
Design of a gelatin microparticle-containing self-microemulsifying formulation for enhanced oral bioavailability of dutasteride

In this study, a gelatin microparticle-containing self-microemulsifying formulation (SMF) was developed using a spray-drying method to enhance the oral delivery of the poorly water-soluble therapeutic dutasteride. The effect of the amount of gelatin and the type and amount of hydrophilic additives, namely, Gelucire® 44/14, poloxamer 407, sodium lauryl sulfate, Soluplus®, Solutol™ HS15, and D-α-tocopheryl polyethylene glycol 1000 succinate, on the droplet size, dissolution, and oral absorption of dutasteride from the SMF was investigated. Upon dispersion of the gelatin microparticle-containing SMF in water after spray-drying, the mean droplet size of the aqueous dispersion was in the range of 110–137 nm. The in vitro dissolution and recrystallization results showed that gelatin could be used as a solid carrier and recrystallization inhibitor for the SMF of dutasteride. Furthermore, combination of the gelatin microparticle-containing SMF and Soluplus enhanced the dissolution properties and oral absorption of dutasteride. The results of our study suggest that the gelatin microparticle-containing SMF in combination with Soluplus could be useful to enhance the oral absorption of dutasteride.
Avoiding Leakage and Synchronization Attacks through Enclave-Side Preemption Control

Intel SGX is the latest processor architecture promising secure code execution despite large, complex and hence potentially vulnerable legacy operating systems (OSs). However, two recent works identified vulnerabilities that allow an untrusted management OS to extract secret information from Intel SGX's enclaves, and to violate their integrity by exploiting concurrency bugs. In this work, we re-investigate delayed preemption (DP) in the context of Intel SGX. DP is a mechanism originally proposed for L4-family microkernels as disable-interrupt replacement. Recapitulating earlier results on language-based information-flow security, we illustrate the construction of leakage-free code for enclaves. However, as long as adversaries have fine-grained control over preemption timing, these solutions are impractical from a performance/complexity perspective. To overcome this, we resort to delayed preemption, and sketch a software implementation for hypervisors providing enclaves as well as a hardware extension for systems like SGX. Finally, we illustrate how static analyses for SGX may be extended to check confidentiality of preemption-delaying programs.
A MTD and angle estimation method of LFMCW radar for automotive applications

For moving targets warning in front of the automobile within 180° scan coverage in azimuth, a moving target detection (MTD) and angle estimation method of linear frequency modulated continuous wave (LFMCW) radar based on multi-beam receiving antenna is presented. By controlling, the received echo signals from two adjacent beams of multi-beam antenna are sampled into the receiver periodically and processed for range, velocity and angle estimation. The system can realize 180° azimuth coverage in ease for operating in electronically scanning mode. Ground clutter signals at low grazing angle illumination of this radar are sampled and analyzed to obtain priori knowledge of environment clutters and radar internal noise. Experimental results validate the feasibility of the method.
State estimation of unknown input polynomial systems: A sum of squares approach

In this paper, we address the problem of state estimating for a class of nonlinear systems that can be described by polynomial models subject to unknown inputs. The proposed observer is developed to guarantee the asymptotic convergence of the estimation error using the Lyapunov method and numerical tools. Sufficient design conditions are given in Sum Of Squares (SOS) formulation with equalities constraints for both continuous and discrete time cases. Thus, the given design conditions are numerically solved via the SOSTOOLS software and a semi definite program (SDP) solver. Finally, illustrative examples are given to provide the effectiveness of the proposed methodology.
What happens if it changes color when it moves?: the nature of chromatic input to macaque visual area MT

Neurons in the middle temporal visual area (MT) of macaque cerebral cortex are highly selective for the direction of motion but not the color of a moving stimulus. Recent experiments have shown, however, that the directional selectivity of many MT neurons persists even when a moving stimulus is defined solely by chromatic variation (Charles and Logothetis, 1989; Saito et al., 1989; Dobkins and Albright, 1991 a, b; Movshon et al., 1991; Gegenfurtner et al., 1994). To illuminate the mechanisms by which area MT uses color as a cue for motion correspondence, we recorded from MT neurons while rhesus monkeys viewed an “apparent motion” stimulus in which red/green sine wave gratings underwent contrast reversal each time they were displaced in a particular direction. Under such conditions, correspondence based upon chromatically defined borders conflicts with correspondence based upon conservation of chromatic sign. When our heterochromatic stimuli possessed sufficient luminance modulation, MT neurons responded best to motion in the direction for which the sign of luminance (and chromatic) contrast was preserved. At isoluminance, however, two different chromatic influences were revealed. First, when stimuli underwent small spatial displacements, directional selectivity was elicited by movement of the stimulus in the direction of the nearest chromatically defined border, even though the sign of chromatic contrast at that border alternated over time. Under these conditions, MT neurons apparently exploited information about image borders defined by chromatic contrast while sacrificing information about the colors that make up those borders. By contrast, when chromatically defined borders provided only ambiguous information about direction of motion, MT neurons were capable of using information about the sign of chromatic contrast to detect direction of motion. The results from these experiments suggest the existence of a hybrid mechanism, one in which both signed and unsigned chromatic signals contribute to motion processing in visual area MT.
QoS provisioning for real-time traffic in wireless packet networks

QoS provisioning to users in the presence of volatility of the wireless channel is the most challenging issue in wireless system design. We consider the problem of scheduling constant bit rate (CBR) traffic packets over the wireless channel, subject to packet delivery deadline constraints. We cast the problem as a Markov decision process and derive the optimal scheduling policy, in the sense of minimizing long-term packet loss due to deadline expirations. Performance bounds and design guidelines for general scheduling algorithms are obtained through analysis and simulations.
The Neurotransmitter Glutamate Reduces Axonal Responsiveness to Multiple Repellents through the Activation of Metabotropic Glutamate Receptor 1

Glutamate is the major excitatory neurotransmitter in the mammalian CNS. Here, we propose a new role for this neurotransmitter in the developing nervous system. We show that glutamate or the metabotropic class I agonist S-3,5-dihydroxyphenyl glycine, acting through the metabotropic glutamate receptor 1 (mGluR1), can reduce the activity of multiple axonal repellents in vitro. This effect is mediated by a pertussis toxin-sensitive activation of protein kinase A and the subsequent inactivation of Rho. This signaling pathway appears to be identical to the one we described previously for stromal derived factor-1-induced reduction of axonal repellent activities. Activation of mGluR1 can also promote increased survival of embryonic retinal ganglion cells in culture. We propose that neurotransmitter-induced modulation of repellent strength provides a novel mechanism by which activity can influence neuronal morphology.
Semantically enhanced Uyghur Information Retrieval Model

Traditional Uyghur search engine lacks semantic information, aiming to solve this problem, a semantically enhanced Uyghur information retrieval model was proposed based on the characteristics of Uyghur language. Firstly word stemming was carried out and web pages were represented by the form of 3-triples to construct the Uyghur knowledge base, then the matching between ontologies and web pages was established by computing concept similarity and relation similarity. Semantic inverted index was built to save the association between semantic entities and web pages, and user query analysis was implemented by expanding the queries and analyzing the relations between the queries, finally by combining the benefits of both keyword-based and semantic-based methods, ranking algorithm was implemented. By comparing with the Google search engine and the Lucene based method, the experiments validate the effectiveness and the feasibility of the model preliminarily. © 2012 ACADEMY PUBLISHER.