Miracle-dz/UniFAR-FTUs huggingface dataset:
Differential stacked spiral inductor and transistor layout designs for broadband high-speed circuits

This paper studies the customized differential stacked spiral inductor (DSSI) and transistor layout designs for broadband high-speed circuits. Compared with the inductor provided in foundry process design kits (PDK), the DSSI increases the inductance density by 3 times and at the same time enlarges the self-resonance frequency by 11.5%. The impact of different differential pair layout styles is compared with post-layout simulations. Moreover, a 4-stage ring oscillator consisting of the DSSI and the half-inter-digitated differential pair layout is fabricated in 65-nm CMOS technology to validate the effectiveness of the presented layout methods. Based on these findings, recommended layout guidelines for broadband circuits are provided.
Matrix completion based on feature vector and function approximation

In this paper, we explained the current matrix completion theory and proposed a new matrix completion framework called Feature Vector and Function Approximating Based Matrix Completion (FVFABMC) which extended low-rank matrix completion theory. The new matrix completion problem can be decomposed into two learning problems, feature vector learning problem and synthetic function learning problem based on the feature vector matrix. The global optimal solution for feature vectors can be obtained by only assuming synthetic function is smoothing locally which makes first-order approximation of feature vector learning problem as convex semi-definite programming problem. To solve the large-scale feature vector learning problem, we also proposed a stochastic parallel gradient descent blocks algorithm. For the matrix synthetic function learning problem, according to local linear hypothesis, the problem can be formalized in to an unconstrained least squares problem based on local neighboring coefficients which avoid model selection and parameter learning difficulties. Numerical experiments show that the feasibility of FVFABMC method in learning feature vectors and had a good prediction performance on missing elements of utility matrix.
Rotating strings and D2-branes in type IIA reduction of M-theory on G2 manifold and their semiclassical limits

We consider rotating strings and D2-branes on type IIA background, which arises as dimensional reduction of M-theory on manifold of G2 holonomy, dual to N=1 gauge theory in four dimensions. We obtain exact solutions and explicit expressions for the conserved charges. By taking the semiclassical limit, we show that the rotating strings can reproduce only one type of semiclassical behavior, exhibited by rotating M2-branes on G2 manifolds. Our further investigation leads to the conclusion that the rotating D2-branes reproduce two types of the semiclassical energy-charge relations known for membranes in eleven dimensions.
Takagi-Sugeno sliding mode observer design for load estimation and sensor fault detection in wind turbines

The performance and reliability of pitch control systems significantly influences the functional safety of wind turbines. In this paper, an observer-based fault detection approach for a class of nonlinear systems, which can be modeled as Takagi-Sugeno (TS) fuzzy models, is presented and applied to electro mechanical pitch drive systems of wind turbines. To achieve robustness we propose a TS fuzzy observer combined with sliding mode that deals with unmeasurable premise variables and bounded uncertainties in the plant. It is shown that this formulation allows sensor fault estimation and load reconstruction based on an equivalent output error injection approach. The stability of the error dynamics is ensured by sufficient linear matrix inequality (LMI) conditions. Based on a derived physical model of the pitch drive system and the unknown but bounded wind loads the robust observer is systematically designed using the TS system form of the plant. Simulation results demonstrate the effectiveness of the proposed scheme.
Modeling of gas dynamic behaviour of CCSO in nanostructured media

Recently a novel, simple and energy efficient synthesis of nanoparticles of complex oxides referred to as Carbon Combustion Synthesis of Oxides, (CCSO) was developed. In CCSO the exothermic oxidation of nanoscale carbon generates a thermal reaction wave with relatively low temperatures that propagates through the solid reactant mixture converting it to the desired oxide products. The carbon used in the CCSO is not incorporated in the product and is emitted from the sample as a CO2. The high rate of CO2 release helps to form a highly porous (up to 0.7) and friable product, having a particle size in range 50-800 nm. This phenomenon results from a vortex gas flow in the reaction zone fed by the carbon dioxide co-flow and oxygen counter-flow filtration. It is characterized by alternate (stratified) macroscopic regions of large particles and low gas pressure. In contrast to the classical problems of filtration combustion it deals with the Navie-Stokes equation rather than with the Darcy law or Euler equation on the macroscopic level. This is a more general description which in combination with a non-uniform and selforganizing porosity of the combusting sample leads numerically first to a weak spin instability of the CCSO front and then to fingering at the latest combustion stages.
Design and Implementation of Efficient On-Chip Crosstalk Avoidance CODECs Using Fibonacci Numeral System

Integrated Circuit(IC) design has seen a revolutionary progress in the past two decades with shrinking sizes of VLSI fabrication processes. This has an advantage of fabricating millions of transistors in a single chip IC. On the other hand it also creates many challenges in Deep Sub-Micron (DSM) technologies. One of the greatest challenges in DSM designs is inter-wire cross talk, which becomes significant due to coupling capacitance between wires. The effect of inter wire cross talk is that it greatly limits speed and increases power consumption of IC. This paper focuses on design and implementation of an efficient CODEC which uses Forbidden Pattern Free (FPF), Fibonacci based Number System (FNS) for bus encoding. Our approach of CODEC design greatly increases the speed (approximately greater than 2.5 times) and decreases the power consumption with the best existing technologies.
A prospective, randomized trial of pre-operative and intraoperative radiotherapy versus surgery alone in resectable gastric cancer.

INTRODUCTION Worldwide, gastric cancer remains one of the most common malignancies. Discouraging survival rates after surgical treatment promote the study of adjuvant therapy. A prospectively, randomized, controlled clinical trial was performed in order to determine whether pre-operative and intraoperative radiotherapy improves treatment results of gastrectomy for stomach carcinoma. METHODS From 1993 to 1998, 112 patients were randomized and underwent exploratory laparotomy; among them 78 satisfied protocol requirements and entered in the trial. Patients in the experimental group were treated with pre-operative radiotherapy (20 Gy/5 days), gastrectomy and intraoperative radiotherapy (20 Gy using 8-12 electrons). Patients in the control group underwent surgery alone. RESULTS Incidence and distribution of post-operative complications were similar in both groups except significantly higher incidence of pancreatitis after surgical treatment. No late radiation-related morbidity was registered. There was no significant difference in survival between the two treatment groups (Chi(2)=1.026, df=1, P=0. 311) as well as in N0 (Chi(2)=0.0029, df=1, P=0.956) and T1-2 subgroups (Chi(2)=0.1928, df=1, P=0.660). In contrast, combined treatment had marked survival advantage in more advanced stages: in the case of lymph-node involvement (Chi(2)=4.19, df=1, P=0.04) and extragastric tumour extension (Chi(2)=4.118, df=1, P=0.042). CONCLUSION The proposed intensive treatment programme is feasible, shows good acute and late tolerance and has the potential to improve survival in patients with locally advanced gastric cancer.
Investigating the Collaborative Process of Process Modeling

Research on quality issues of business process models has recently begun to explore the process of creating process models. With growing complexity, the creation of business process models requires the presence of several, potentially spatially distributed stakeholders. As a consequence, the question arises how this affects the process of process modeling. This paper describes a thesis working on this question. More precisely, an infrastructure for recording and analyzing the collaborative process of process modeling is introduced and further used for investigating this process using empirical research methods.
Shift-invariant wavelet denoising using interscale dependency

Using statistical modeling in the wavelet domain, we address the problem of image denoising. Despite being effective, the denoised images can suffer from the Gibbs-like artifacts, like ringing around the edges and speckles in the smooth regions. We employ shift-invariant (SI) wavelet denoising in order to reduce these unpleasant artifacts. Not only is the visual quality greatly improved but also a PSNR gain of about 0.7/spl sim/0.9 dB is obtained. The proposed approach, siPAB, outperforms siHMT, which is a competitive SI wavelet denoising approach, by 0.1/spl sim/0.5 dB.
Nuclear degeneration in the developing lens and its regulation by TNFalpha.

DNA fragmentation in lens fibre cell nuclei undergoing programmed degeneration was identified by terminal deoxynucleotidyl transferase (TdT)-mediated biotin-dUTP nick end labelling (TUNEL). Lens epithelial cells in culture were induced to differentiate into lens fibre-like clumps of cells (lentoids) by insulin and it was shown that the TUNEL method was also an effective means of labelling degenerating nuclei in lentoid cells in lens epithelial cell cultures. Using immuno-fluorescence and confocal microscopy, it was shown that TNFalpha and TNF receptor (TNFR1, and TNFR2) immunoreactivity was present in sections of chick embryo lenses. TNFalpha immunoreactivity was associated with the lens epithelium and lens fibres. TNFR1 immunoreactivity was present in lens epithelial cells, cortical lens fibres, and lens fibre cell nuclei, while TNFR2 immunoreactivity had a similar distribution to that of TNFR1, but was not associated with nuclei. Similar patterns of TNFalpha, TNFR1, and TNFR2 immunoreactivity were observed in lens epithelial cell cultures. When added to lens epithelial cell cultures, TNFalpha, at concentrations of 50 to 100 ng ml-1, and agonistic antibodies to both TNFR1 and TNFR2 significantly (P<0.05) enhanced the number of degenerating (TUNEL-positive) nuclei. On the other hand, a neutralising antibody to TNFalpha significantly (P<0. 05) reduced the number of TUNEL-positive nuclei. These results demonstrate that TUNEL is an effective means of labelling degenerating lens fibre nuclei during lens fibre and lentoid differentiation, and suggest a potential role for TNFalpha-like factors and their receptors in the degeneration of lens fibre cell nuclei during lens differentiation. We further suggest that the nuclear degeneration of lens fibre cells is analogous to the nuclear events that occur during apoptosis, and that in lens cells the nuclear degeneration is uncoupled from the plasma membrane events of apoptosis that normally lead to cell death.
Wheel odometry-based car localization and tracking on vectorial map

In this paper, we present a car self-localization approach based on free inputs. We propose to use wheel speeds, which is available on most car through the CAN bus, and community developed road maps. A particle filter framework is used to achieve self-localization on a graph-based representation of a road map. Our results suggests that self-localization and tracking are feasible with these two inputs at a really low computational cost. Car self-localization is achieved with an averaged 5 m accuracy within a 100 km drivable road map on a 12 km sequence.
Identification of genes expressed by zebrafish oligodendrocytes using a differential microarray screen

Myelination of central nervous system axons requires that oligodendrocytes extend multiple membrane processes that specifically recognize and wrap axons, which is followed by expression of proteins necessary for formation of myelin sheaths. To identify new genes that might be important for myelination, we used microarrays to analyze the expression profiles of cells sorted from transgenic zebrafish embryos and larvae under conditions that permitted or blocked oligodendrocyte development. Here, we describe eight genes that have not been previously implicated in oligodendrocyte development. Among the predicted functions of proteins encoded by these genes are lipid sensing, cell–cell junction formation, cytoskeleton regulation, and intracellular signaling. The predicted functions raise the possibility that these genes are involved in multiple cellular events during oligodendrocyte differentiation and myelin formation. Developmental Dynamics 239:2041–2047, 2010. © 2010 Wiley‐Liss, Inc.
Count and Forget : Uniform Interpolation of SHQ-Ontologies — Long Version ?

We propose a method for forgetting concept symbols and non-transitive roles symbols of SHQ-ontologies, or for computing uniform interpolants in SHQ. Uniform interpolants restrict the symbols occuring in an ontology to a specified set, while preserving all logical entailments that can be expressed using this set in the description logic under consideration. Uniform interpolation has applications in ontology reuse, information hiding and ontology analysis, but so far no method for computing uniform interpolants for expressive description logics with number restrictions has been developed. Our results are not only interesting because they allow to compute uniform interpolants of ontologies using a more expressive language. Using number restrictions also allows to preserve more information in uniform interpolants of ontologies in less complex logics, such as ALC or EL. The presented method computes uniform interpolants on the basis of a new resolution calculus for SHQ. The output of our method is expressed using SHQμ, which is SHQ extended with fixpoint operators, to always enable a finite representation of the uniform interpolant. If the uniform interpolant uses fixpoint operators, it can be represented in SHQ without fixpoints operators using additional concept symbols or by approximation.
RFID Applications: An Introductory and Exploratory Study

RFID is not a new technology and has passed through many decades of use in military, airline, library, security, healthcare, sports, animal farms and other areas. Industries use RFID for various applications such as personal/vehicle access control, departmental store security, equipment tracking, baggage, fast food establishments, logistics, etc. The enhancement in RFID technology has brought advantages that are related to resource optimization, increased efficiency within business processes, and enhanced customer care, overall improvements in business operations and healthcare. Our research is part of a big project; its aim is to produce a model for mobile technology implementation of hospital patients’ movement process. However, the focus of this paper is to explore the main RFID components, i.e. the tag, antenna and reader. The results of the investigations conducted on the three RFID components will be used to develop our research model.
Attention Unites Form and Function in Spatial Language

Recent research on spatial language has progressed along two largely separate fronts. First, there has been an effort to examine the role of attention within spatial language, focusing primarily on abstract geometric representations of objects. Second, there have been numerous demonstrations that spatial language is influenced by the intended function of objects as well as their geometry, but the mechanism by which this occurs has been left largely unspecified. We bring together these two lines of inquiry, and argue that attention may integrate geometric and functional information. Specifically, we argue that preferential attention to the functional parts of objects may explain effects of object function on the interpretation of spatial terms. We show this empirically and computationally, using an attentional model of spatial language.
Synthesis and Characterization of Monodisperse Magnetite Nanoparticles by Hydrothermal Method

Monodisperse nanoparticles are materials that are not agglomerate. The good characteristic of these materials is the dispersity in water, so they can better react with target pollutants. Accordingly, in this work, the monodisperse magnetite nanoparticles with the superparamagnetic property were synthesized and characterized. The hydrothermal method with the iron compound and polymer as precursors was conducted. The magnetic nanoparticles were characterized by several techniques including X-ray diffraction, field emission scanning electron microscope, transmission electron microscope, and vibrating sample magnetometer. The saturation magnetization (Ms) value, the coercivity (Hc), and the retentivity (Mr) were measured to demonstrate the paramagnetic behavior of the monodisperse magnetite nanoparticles. The results showed that the Fe3O4 nanoparticle were obtained at 200 °C for 16 h. The particles are monodispersed with the size approximately in the range of 60 - 250 nm as confirmed by FE-SEM and TEM images. These are the single grain and had the spherical shape similar to a blackberry. The saturation magnetization of 17.287 emu/g and ratio of retentivity to saturation magnetization (Mr/Ms) characterized the squareness of the hysteresis loops was 0.03653. It can be indicated that the Fe3O4 nanoparticles had superparamagnetic behavior. This property of Fe3O4 nanoparticles can draw pollutants to absorb on the surface of these nanomaterials. Then adsorbed pollutants can be easily removed by separating the Fe3O4 materials from water. This technique can be applied further in water treatment and pollutant removal.
Potent Innate Immune Response to Pathogenic Leptospira in Human Whole Blood

Background Leptospirosis is caused by pathogenic spirochetes of the genus Leptospira. The bacteria enter the human body via abraded skin or mucous membranes and may disseminate throughout. In general the clinical picture is mild but some patients develop rapidly progressive, severe disease with a high case fatality rate. Not much is known about the innate immune response to leptospires during haematogenous dissemination. Previous work showed that a human THP-1 cell line recognized heat-killed leptospires and leptospiral LPS through TLR2 instead of TLR4. The LPS of virulent leptospires displayed a lower potency to trigger TNF production by THP-1 cells compared to LPS of non-virulent leptospires. Methodology/Principal Findings We investigated the host response and killing of virulent and non-virulent Leptospira of different serovars by human THP-1 cells, human PBMC's and human whole blood. Virulence of each leptospiral strain was tested in a well accepted standard guinea pig model. Virulent leptospires displayed complement resistance in human serum and whole blood while in-vitro attenuated non-virulent leptospires were rapidly killed in a complement dependent manner. In vitro stimulation of THP-1 and PBMC's with heat-killed and living leptospires showed differential serovar and cell type dependence of cytokine induction. However, at low, physiological, leptospiral dose, living virulent complement resistant strains were consistently more potent in whole blood stimulations than the corresponding non-virulent complement sensitive strains. At higher dose living virulent and non-virulent leptospires were equipotent in whole blood. Inhibition of different TLRs indicated that both TLR2 and TLR4 as well as TLR5 play a role in the whole blood cytokine response to living leptospires. Conclusions/Significance Thus, in a minimally altered system as human whole blood, highly virulent Leptospira are potent inducers of the cytokine response.
Synthesizing structured image hybrids

Example-based texture synthesis algorithms generate novel texture images from example data. A popular hierarchical pixel-based approach uses spatial jitter to introduce diversity, at the risk of breaking coarse structure beyond repair. We propose a multiscale descriptor that enables appearance-space jitter, which retains structure. This idea enables repurposing of existing texture synthesis implementations for a qualitatively different problem statement and class of inputs: generating hybrids of structured images.
S-nitrosoglutathione improves functional recovery in the isolated rat heart after cardioplegic ischemic arrest-evidence for a cardioprotective effect of nitric oxide.

The objective of this study was to assess the cardioprotective effect of the nitric oxide (.NO) donor, S-nitrosoglutathione (GSNO) and to investigate the mechanism of cardioprotection in a model of ischemia and reperfusion in isolated rat hearts. The role of . NO in myocardial protection was investigated by using nitronyl nitroxide as the . NO trap. Electron spin resonance spectroscopy was used to demonstrate that nitronyl nitroxide can trap . NO released from GSNO in a cardioplegic solution. NO traps, oxyhemoglobin (4 mumol/l, n = 4) and nitronyl nitroxide (400 mumol/l, n = 5), inhibited the (2 mumol/l) GSNO-induced coronary vasodilation from the control value of 122% (n = 6) above base-line value to 73 and 60%, respectively. In the ischemia-reperfusion protocol, GSNO (20 mumol/l) was added to the cardioplegic solution during a 35-min ischemic arrest (n = 8). GSNO improved the functional recovery of ischemic hearts as compared to control (n = 6) as measured by the developed pressure (76 +/- 3 to 95 +/- 5% of base-line), rate pressure product (68 +/- 3 to 83 +/- 4% of base-line) and diastolic pressure (31 +/- 2 to 19 +/- 3 mm Hg). Reduction of coronary flow rate during reperfusion to control values in GSNO-treated hearts did not eliminate the improvement of functional recovery induced by GSNO. GSNO increased cyclic GMP production and slowed the accumulation of lactate (154 +/- 7 in control to 114 +/- 4 mumol/g dry wt.) and glucose-6-phosphate (3.66 +/- 0.19 in control to 2.18 +/- 0.10 mumol/g dry wt.) in myocardial tissue during ischemia. (ABSTRACT TRUNCATED AT 250 WORDS)
Similar Microbial Communities Found on Two Distant Seafloor Basalts

The oceanic crust forms two thirds of the Earth’s surface and hosts a large phylogenetic and functional diversity of microorganisms. While advances have been made in the sedimentary realm, our understanding of the igneous rock portion as a microbial habitat has remained limited. We present the first comparative metagenomic microbial community analysis from ocean floor basalt environments at the Lō’ihi Seamount, Hawai’i, and the East Pacific Rise (EPR; 9°N). Phylogenetic analysis indicates the presence of a total of 43 bacterial and archaeal mono-phyletic groups, dominated by Alpha- and Gammaproteobacteria, as well as Thaumarchaeota. Functional gene analysis suggests that these Thaumarchaeota play an important role in ammonium oxidation on seafloor basalts. In addition to ammonium oxidation, the seafloor basalt habitat reveals a wide spectrum of other metabolic potentials, including CO2 fixation, denitrification, dissimilatory sulfate reduction, and sulfur oxidation. Basalt communities from Lō’ihi and the EPR show considerable metabolic and phylogenetic overlap down to the genus level despite geographic distance and slightly different seafloor basalt mineralogy.