Miracle-dz/UniFAR-FTUs huggingface dataset:
aPKC kinase activity is required for the asymmetric differentiation of the premature junctional complex during epithelial cell polarization

We have previously shown that aPKC interacts with cell polarity proteins PAR-3 and PAR-6 and plays an indispensable role in cell polarization in the C. elegans one-cell embryo as well as in mammalian epithelial cells. Here, to clarify the molecular basis underlying this aPKC function in mammalian epithelial cells, we analyzed the localization of aPKC and PAR-3 during the cell repolarization process accompanied by wound healing of MTD1-A epithelial cells. Immunofluorescence analysis revealed that PAR-3 and aPKCλ translocate to cell-cell contact regions later than the formation of the primordial spot-like adherens junctions (AJs) containing E-cadherin and ZO-1. Comparison with three tight junction (TJ) membrane proteins, JAM, occludin and claudin-1, further indicates that aPKCλ is one of the last TJ components to be recruited. Consistently, the expression of a dominant-negative mutant of aPKCλ (aPKCλkn) in wound healing cells does not inhibit the formation of the spot-like AJs; rather, it blocks their development into belt-like AJs. These persistent spot-like AJs in aPKCλ-expressing cells contain all TJ membrane proteins and PAR-3, indicating that aPKC kinase activity is not required for their translocation to these premature junctional complexes but is indispensable for their further differentiation into belt-like AJs and TJs. Cortical bundle formation is also blocked at the intermediate step where fine actin bundles emanating from premature cortical bundles link the persistent spot-like AJs at apical tips of columnar cells. These results suggest that aPKC contributes to the establishment of epithelial cell polarity by promoting the transition of fibroblastic junctional structures into epithelia-specific asymmetric ones.
A energy evaluation of E-TDMA vs IEEE 802.11 in wireless ad hoc networks

This paper presents a deep simulation analysis of contention-based and collision-free MAC protocols in MANET environment. In particular, IEEE 802.11 and Evolutionary TDMA (E-TDMA) have been considered from an energetic point of view. Contention based MAC protocols such as IEEE 802.11 are often applied in the context of wireless ad hoc networks for their easy deployment and reduced control structure that is typical of more complex medium access techniques based on the time-slot reservation or code selection. However, when traffic load is heavy, TDMA based protocol can be essential not only in terms of higher throughput offered in the network but also for a reduction in the energy dissipation due to the capability of lowering the data packet collision. A energy specific evaluation has been led out and many parameters have been considered in order to show the effectiveness and the drawbacks of TDMA based MAC protocols vs contention-based (CSMA) MAC protocols. This contribution is a starting point to develop specific energy saving techniques to apply in the context of MANET at MAC layer.
SVM classifier based grape leaf disease detection

Grape constitutes one of the most widely grown fruit crops in the India. Productivity of grape decreases due to infections caused by various types of diseases on its fruit, stem and leaf. Leaf diseases are mainly caused by bacteria, fungi, virus etc. Diseases are a major factor limiting fruit production and diseases are often difficult to control. Without accurate disease diagnosis, proper control actions cannot be used at the appropriate time. Image Processing is one of the widely used technique is adopted for the plant leaf diseases detection and classification. This paper is intended to aid in the detection and classification leaf diseases of grape using SVM classification technique. First the diseased region is found using segmentation by K-means clustering, then both color and texture features are extracted. Finally classification technique is used to detect the type of leaf disease. The proposed system can successfully detect and classify the examined disease with accuracy of 88.89%.
A traffic-classified technique for filtering spam from bulk delivery E-mails

Tremendous increases in spam traffic have made an imperative to develop effective techniques that can filter Internet spam traffic for using in network operation and security management. In this paper, we propose a more effective scheme called improved bulk mail traffic classification (IBMTC) for filtering spam from bulk delivery E-mails traffic. Based on our earlier designed scheme, we further address some issues related to spam attack and running performance. We also develop a series of more effective techniques to support our method. We have applied IBMTC to the E-mail traffic data captured at one of the largest commercial Internet service providers in China, and the experimental result indicates that the new scheme is more effective and can further improve the performance of filter
The transcendent influence of spirituality on ethical action in organizations

Abstract In recent times, there has been a shift in the management literature toward embracing spirituality in the workplace. Much of this literature promulgates the idea that spiritual individuals are moral and therefore, valuable ethical assets to any organization. However, there is negligible research validating this claim. As part of a larger study, this research investigated how spirituality influenced ethical behavior in a variety of work contexts. This was based on a critical realist methodology, semi-structured interviews with 31 highly spiritual cases and a thematic analysis of 80 ethical incidents. It found participants’ spirituality was manifested through an awareness of others that guided and enabled them to act in authentically ethical ways that transcended organizational conditions. When participants reported doing this, they felt increased well-being; when they were unable to enact their spirituality, they suffered a variety of negative feelings. The paper concludes by discussing the implications of these findings.
An Evaluation of Lexicalization in Parsing

In this paper, we evaluate a two-pass parsing strategy proposed for the so-called 'lexicalized' grammar. In 'lexicalized' grammars (Schabes, Abeille and Joshi, 1988), each elementary structure is systematically associated with a lexical item called anchor. These structures specify extended domains of locality (as compared to CFGs) over which constraints can be stated. The 'grammar' consists of a lexicon where each lexical item is associated with a finite number of structures for which that item is the anchor. There are no separate grammar rules. There are, of course, 'rules' which tell us how these structures are combined.A general two-pass parsing strategy for 'lexicalized' grammars follows naturally. In the first stage, the parser selects a set of elementary structures associated with the lexical items in the input sentence, and in the second stage the sentence is parsed with respect to this set. We evaluate this strategy with respect to two characteristics. First, the amount of filtering on the entire grammar is evaluated: once the first pass is performed, the parser uses only a subset of the grammar. Second, we evaluate the use of non-local information: the structures selected during the first pass encode the morphological value (and therefore the position in the string) of their anchor; this enables the parser to use non-local information to guide its search.We take Lexicalized Tree Adjoining Grammars as an instance of lexicalized grammar. We illustrate the organization of the grammar. Then we show how a general Earley-type TAG parser (Schabes and Joshi, 1988) can take advantage of lexicalization. Empirical data show that the filtering of the grammar and the non-local information provided by the two-pass strategy improve the performance of the parser.
Efficient code generation in a region-based dynamic binary translator

Region-based JIT compilation operates on translation units comprising multiple basic blocks and, possibly cyclic or conditional, control flow between these. It promises to reconcile aggressive code optimisation and low compilation latency in performance-critical dynamic binary translators. Whilst various region selection schemes and isolated code optimisation techniques have been investigated it remains unclear how to best exploit such regions for efficient code generation. Complex interactions with indirect branch tables and translation caches can have adverse effects on performance if not considered carefully. In this paper we present a complete code generation strategy for a region-based dynamic binary translator, which exploits branch type and control flow profiling information to improve code quality for the common case. We demonstrate that using our code generation strategy a competitive region-based dynamic compiler can be built on top of the LLVM JIT compilation framework. For the ARM-V5T target ISA and SPEC CPU 2006 benchmarks we achieve execution rates of, on average, 867 MIPS and up to 1323 MIPS on a standard X86 host machine, outperforming state-of-the-art QEMU-ARM by delivering a speedup of 264%.
Ischaemic preconditioning-regulated miR-21 protects heart against ischaemia/reperfusion injury via anti-apoptosis through its target PDCD4.

AIMS The aims of the present study are to determine the miRNA expression signature in rat hearts after ischaemic preconditioning (IP) and to identify an IP-regulated miRNA, miR-21, in IP-mediated cardiac protection, and the potential cellular and molecular mechanisms involved. METHODS AND RESULTS The miRNA expression signature was investigated in rat hearts. Among the 341 arrayed miRNAs, 40 miRNAs were differentially expressed (21 up and 19 down) in rat hearts with IP, compared with their controls. Some of these differentially expressed miRNAs were further verified by quantitative reverse transcriptase-polymerase chain reaction. Remarkably, miR-21 was one of most upregulated miRNAs in hearts after IP. In vivo, IP-mediated cardiac protection against ischaemia/reperfusion injury was inhibited by knockdown of cardiac miR-21. In cultured cardiac myocytes, we identified that miR-21 also had a protective effect on hypoxia/reoxygenation-induced cell apoptosis that was associated with its target gene, programmed cell death 4. The protective effect of miR-21 on cardiac cell apoptosis was further confirmed in rat hearts after ischaemia/reperfusion injury in vivo. CONCLUSION The results suggest that miRNAs are involved in IP-mediated cardiac protection. Identifying the roles of IP-regulated miRNAs in cardiac protection may provide novel therapeutic and preventive targets for ischaemic heart disease.
Value and capital: Austrian capital theory, retrospect and Prospect

The time is right for a reexamination of Austrian capital-theory. We attempt to capture the essence of Carl Menger’s approach to capital, highlighting the important distinction between goods and the valuable services they yield (implying that goods are valuable only because they yield valuable services) and highlighting also the importance of money in facilitating exchange and production and in providing the means to value them. We look at the capital-theory of Böhm-Bawerk and suggest that, in many respects, this was a wrong turn, although it did set in motion valuable efforts to clarify the importance of the heterogeneity of productive-resources and their growing complexity over time. We examine the production-function, micro and macro, and show that it is logically untenable and useless as an instrument for empirical investigation, and that this has been known for decades. Of the Austrians after Menger, only Mises followed Irving Fisher in focusing on valuation. He did so in the context of explaining the importance of calculation. Mises’s approach to capital has been insufficiently understood and appreciated. By way of conclusion we draw from our considerations to provide a research agenda in Austrian capital theory.
Design of a novel convex hull based feature set for recognition of isolated handwritten Roman numerals

In this paper, convex hull based features are used for recognition of isolated Roman numerals using a Multi Layer Perceptron (MLP) based classifier. Experiments of convex hull based features for handwritten character recognition are few in numbers. Convex hull of a pattern and the centroid of the convex hull both are affine invariant attributes. In this work, 25 features are extracted based on different bays attributes of the convex hull of the digit patterns. Then these patterns are divided into four sub-images with respect to the centroid of the convex hull boundary. From each such sub-image 25 bays features are also calculated. In all 125 convex hull based features are extracted for each numeric digit patterns under the current experiment. The performance of the designed feature set is tested on the standard MNIST data set, consisting of 60000 training and 10000 test images of handwritten Roman using an MLP based classifier a maximum success rate of 97.44% is achieved on the test data.
Differential Role of Leptin and Adiponectin in Cardiovascular System

Leptin and adiponectin are differentially expressed adipokines in obesity and cardiovascular diseases. Leptin levels are directly associated with adipose tissue mass, while adiponectin levels are downregulated in obesity. Although significantly produced by adipocytes, leptin is also produced by vascular smooth muscle cells and cardiomyocytes. Plasma leptin concentrations are elevated in cases of cardiovascular diseases, such as hypertension, congestive heart failure, and myocardial infarction. As for the event of left ventricular hypertrophy, researchers have been stirring controversy about the role of leptin in this form of cardiac remodeling. In this review, we discuss how leptin has been shown to play an antihypertrophic role in the development of left ventricular hypertrophy through in vitro experiments, population-based cross-sectional studies, and longitudinal cohort studies. Conversely, we also examine how leptin may actually promote left ventricular hypertrophy using in vitro analysis and human-based univariate and multiple linear stepwise regression analysis. On the other hand, as opposed to leptin's generally detrimental effects on the cardiovascular system, adiponectin is a cardioprotective hormone that reduces left ventricular and vascular hypertrophy, oxidative stress, and inflammation. In this review, we also highlight adiponectin signaling and its protective actions on the cardiovascular system.
A New Method of License Plate Location Based on Multi-threshold Quantization Segmentation of Color Image

In the complex reality environment, License plate image may contain multiple plates. At this point, simply using grayscale or color image processing only is very difficult to achieve fast and accurate positioning. By full use of the multiple conditions such as color, edge features and veins, a new method of multi-objective, integrated color of license plate location has been put forward. Firstly, make the multi-color threshold quantization segmentation of color image, edge detection and morphology of its deal to get a candidate region, integration of the color code matrix diagram and quantify the length and width of the plate area fixed ratio to get the second candidate region, then in the second candidate region, judging the edge points on both sides of the diagonal with the color quantization value, verify the authenticity of the candidate regions. Through progressively filter the candidate region, and ultimately locate each license plate. The algorithm is full integration the advantages of the method based on color image processing, simple and effective, and have good positioning accuracy and engineering practicality.
FRI Sampling on Structured Nonuniform Grids—Application to Super-Resolved Optical Imaging

The annihilating filter forms the core of many state-of-the-art techniques for finite-rate-of-innovation (FRI) signal reconstruction and spectral estimation. In its standard manifestation, the annihilating filter is setup in the discrete-time domain with uniform sampling, and is used to estimate the parameters of a signal that is expressible as a sum of exponentials. In this paper, we consider annihilation in the continuous domain using translation operators (codenamed OperA) and show that FRI signals can be reconstructed using measurements taken on a structured nonuniform sampling (SNS) grid. The parameters are estimable uniquely under certain conditions. The transition from uniform sampling to SNS comes with specific advantages: the measurements could be made in bursts from high signal-to-noise ratio (SNR) regions, which directly enhances parameter estimation accuracy; the sampling interval could be made larger than in the uniform case, which leads to a reduction in the mean-squared error (MSE); and closely spaced exponential parameters could be resolved better. We present theoretical developments related to the SNS grid and demonstrate accurate parameter estimation. Monte Carlo performance analysis in the presence of noise shows that the OperA with the SNS approach yields a significant decrease in MSE up to 10 to 20 dB for certain SNR ranges compared with the uniform sampling scenario. Considering an application to frequency-domain optical-coherence tomography, we show that the proposed methodology results in higher resolution and higher reconstruction accuracy than the standard techniques.
PRINTED MONOPOLE ANTENNA TECHNOLOGY FOR WIDEBAND APPLICATIONS

Broadband planar monopole antennas have attracted their candidature for wideband applications like WLAN, WiMAX, RADAR, Satellite etc. Eventhough planar monopole antennas have several advantages in terms of cost, compactness, conformality, simplicity they suffer from a major disadvantage of having very narrow bandwidth. Various planar configurations such as circular, triangular, rectangular, hexagonal monopole have been presented. A review of various printed monopole antenna configuration including more recent technique like defected ground structure for bandwidth as well as gain enhancement is presented. Finally a symmetrical bevelling technique of radiating element for bandwidth enhancement of simple PRMA is also investigated for its performance using IE3D software. The software simulation result yields a significant bandwidth of 6.08 GHz ( from 2 GHz to 8.08 GHz) as compared to 5.13 GHz ( from 1.99GHz to & 7.12 GHz) for simple PRMA.
An adaptive multi-mode RF front-end for cellular terminals

This paper presents a fully-integrated performance-on-demand receiver front-end for GSM/EDGE/W-CDMA/CDMA2000 multi-mode cellular applications. The designpsilas noise figure, linearity and selectivity are adapted depending on current environmental conditions and the selected standard to guarantee lowest overall power consumption. The single-chip zero-IF receiver comprises two self-matched LNAs for high/low-band, the demodulator and a fully-integrated DeltaSigma.fractional. N PLL. The integration of I/Q-ADCs and a digital front-end (DFE) enables an efficient 3rd-order analog baseband filter. Accurate channel and matched filtering, sample-rate conversion and dynamic-range control are achieved in the DFE allowing for greater flexibility. In the absence of any blocker the performance of demodulator, VCO, analog baseband filter and DFE are adapted to reduce the current consumption up to 42% versus the full-featured mode. The receiver has been fabricated in a 0.13 mum CMOS process and occupies 8 mm2 die area. The design is verified by error-vector-magnitude (EVM) measurements exhibiting 3.9% for W-CDMA and 3.1% for CDMA 2000.
Solution of a Bi-Objective Purchasing Scheduling Problem with Constrained Funds using Pareto Optimization

In this paper the Purchasing Scheduling Problem (PSP) with limited funds is presented. PSP is formulated through the optimization of two objectives based on the inventory-supply process: maximization of satisfied demands and minimization of purchasing costs. The problem is solved using two variants of the Ant Colony System algorithm (ACS), designed under Pareto's optimization principle in which elements of multi-objective representation for computing a feasible solution are incorporated to the basic design of ACS. Experimental results reveal that the Pareto approach improves solutions over the ACS in 8%, obtaining an efficiency of 80% solving the set of PSP instances as purchasing plans. This reveals the advantages of developing evolutionary algorithms based on multi-objective approaches, which can be exploited in planning and scheduling systems.
Mitotic Slippage and Expression of Survivin Are Linked to Differential Sensitivity of Human Cancer Cell-Lines to the Kinesin-5 Inhibitor Monastrol

The mitotic Kinesin-5 motor proteins crosslink and slide apart antiparallel spindle microtubules, thus performing essential functions in mitotic spindle dynamics. Specific inhibition of their function by monastrol-like small molecules has been examined in clinical trials as anticancer treatment, with only partial success. Thus, strategies that improve the efficiency of monastrol-like anticancer drugs are required. In the current study, we examined the link between sensitivity to monastrol and occurrence of mitotic slippage in several human cell-lines. We found that the rank of sensitivity to monastrol, from most sensitive to least sensitive, is: AGS>HepG2>Lovo>Du145≥HT29. We show correlation between the sensitivity of a particular cell-line to monastrol and the tendency of the same cell-line to undergo mitotic slippage. We also found that in the monastrol resistant HT29 cells, prolonged monastrol treatments increase mRNA and protein levels of the chromosomal passenger protein survivin. In contrast, survivin levels are not increased by this treatment in the monastrol-sensitive AGS cells. We further show that over-expression of survivin in the monastrol-sensitive AGS cells reduces mitotic slippage and increases resistance to monastrol. Finally, we show that during short exposure to monastrol, Si RNA silencing of survivin expression reduces cell viability in both AGS and HT29 cells. Our data suggest that the efficiency of anti-cancer treatment with specific kinesin-5 inhibitors may be improved by modulation of expression levels of survivin.
Data Fusion Boosted Face Recognition Based on Probability Distribution Functions in Different Colour Channels

A new and high performance face recognition system based on combining the decision obtained from the probability distribution functions (PDFs) of pixels in different colour channels is proposed. The PDFs of the equalized and segmented face images are used as statistical feature vectors for the recognition of faces by minimizing the Kullback-Leibler Divergence (KLD) between the PDF of a given face and the PDFs of faces in the database. Many data fusion techniques such as median rule, sum rule, max rule, product rule, and majority voting and also feature vector fusion as a source fusion technique have been employed to improve the recognition performance. The proposed system has been tested on the FERET, the Head Pose, the Essex University, and the Georgia Tech University face databases. The superiority of the proposed system has been shown by comparing it with the state-of-art face recognition systems.
Context-based Distributed Regression in Virtual Organizations

The characteristics of virtual organizations present significant challenges to both distributed data mining methods within a metalearning framework and statistical multi-level models. Using hierarchical models, this paper explicitly address the context heterogeneity existing across the partners of virtual organizations. Two new approaches of context-based distributed data mining are analyzed and compared with traditional meta-learning based distributed data mining technique on both simulation and real-world data sets.