Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis and Design of a Multi Octave Circularly Polarized Monopole Antenna for UWB, X and Ku-Band Applications

This work presents a circularly polarized, CPW-Fed multi band operating monopole antenna. The monopole antenna consists of three parasitic elements, along with a stub at ground for impedance matching. The parasitic elements so far accumulated have shown their excellence in increasing the impedance bandwidth over the 6-18GHz band. The antenna was carved on FR-4 epoxy substrate which result a copper clad laminated structure. The CPW-Fed monopole antenna exhibits excellent circular polarization levels in the frequency region 6-18GHz. The simulation resulted a Return loss of less than -10dB, with good axial ratio less than -3dB over entire band of interest. The simulation was carried out through HFSS microwave studio. The antenna measured values are in good correspondence to the simulated values.
αB-Crystallin-coated MAP microtubule resists nocodazole and calcium-induced disassembly

αB-Crystallin, one of the small heat-shock proteins, is constitutively expressed in various tissues including the lens of the eye. It has been suggested that αB-crystallin provides lens transparency but its function in nonlenticular tissues is unknown. It has been reported that αB-crystallin is involved in the stabilization and the regulation of cytoskeleton, such as intermediate filaments and actin. In this study, we investigate the possibility whether αB-crystallin interacts with the third cytoskeleton component, microtubules (MTs). First, we precisely observed the cellular localization of αB-crystallin and MT networks in L6E9 myoblast cells and found a striking coincidence between them. MTs reconstituted from cell lysate contained αB-crystallin. Electron micrographs clearly showed direct interactions of purified αB-crystallin with the surface of microtubule-associated proteins (MAPs) attached to MTs. Purified αB-crystallin bound to MAP-MTs in a concentration-dependent manner. However, αB-crystallin did not bind MTs reconstituted from purified tubulin. Finally, we observed that αB-crystallin increased the resistance of MTs to depolymerization in cells and in vitro. Taken together, these results suggest that one of the functions of αB-crystallin is to bind MTs via MAP(s) and to give the MTs resistance to disassembly.
Signal coding for low power: fundamental limits and practical realizations

Transitions on high capacitance busses result in considerable system power dissipation. Therefore, various coding schemes have been proposed in the literature to encode the input signal in order to reduce the number of transitions. In this paper, we present: (1) fundamental bounds on the activity reduction capability of any encoding scheme for a given source, and (2) practical novel encoding schemes that approach these bounds. The fundamental bounds in (1) are obtained via an information-theoretic approach where a signal x(n) with entropy rate H is coded with R bits per sample on average. The encoding schemes in (2) are developed via a communication-theoretic approach, whereby a data source is passed through a decorrelating function followed by a variant of entropy coding function which reduces the transition activity. Simulation results with an encoding scheme for data busses indicate an average reduction in transition activity of 36%.
Study of the Correlation between Emotional Intelligence (EI) and Project Success in Nonprofits

Project managers use both hard and soft skills to manage projects and people. When a project manager lacks the necessary competencies, there is a risk of project failure. The purpose of projects in nonprofit organizations is to increase the efficiencies of the organization or gain additional funding through fundraising, friendraising, and image enhancement efforts. The soft skill of emotional intelligence is linked to enhanced leadership in project management. This quantitative correlation study examined the relationship between the project managers’ emotional intelligence and their nonprofit project success. The analysis determined there is not a significant correlation between project managers’ emotional intelligence and their project success in the nonprofit sector. Additional research is needed to explore the perceived higher level of emotional intelligence of the nonprofit project managers when compared to others utilizing the same instrument. Additional research is also needed to explore the perceived higher nonprofit project success when compared to other projects utilizing the same instrument.
Research on the Chaos in Software Requirements

The software requirements decomposition can be taken as a dynamic system. According to the nonlinear dynamic requirements decomposition equations developed by us based on the nonlinear dynamic system. This paper further researched the chaotic phenomena of software requirements through simulations. The occurrence of chaos in the process of software requirements decomposition is determined by Requirements Decomposition Rate Parameter (RDRP). When RDRP is too large, a small change may cause the decomposition into an unstable state from a stable state. The decomposition may also be in chaos even if it is nearly completed when RDRP is unsuitable. Therefore, it is better for us to let the decomposition outside chaos region to get all requirements and avoid the influence of requirements change.
On the -cohomology of rings of numerical polynomials and E∞ structures on K-theory

We investigate � -cohomology of some commutative cooperation algebras E∗E as- sociated with certain periodic cohomology theories. For KU and E(1), the Adams summand at a prime p, and for KO we show that � -cohomology vanishes above degree 1. As these cohom- ology groups are the obstruction groups in the obstruction theory developed by Alan Robinson we deduce that these spectra admit unique E∞ structures. As a consequence we obtain an E∞ structure for the connective Adams summand. For the Johnson-Wilson spectrum E(n) with n 1 we establish the existence of a unique E∞ structure for its In-adic completion.
Ezrin has a COOH-terminal actin-binding site that is conserved in the ezrin protein family

Ezrin, previously also known as cytovillin, p81, and 80K, is a cytoplasmic protein enriched in microvilli and other cell surface structures. Ezrin is postulated to have a membrane-cytoskeleton linker role. Recent findings have also revealed that the NH2-terminal domain of ezrin is associated with the plasma membrane and the COOH-terminal domain with the cytoskeleton (Algrain, M., O. Turunen, A. Vaheri, D. Louvard, and M. Arpin. 1993. J. Cell Biol. 120: 129-139). Using bacterially expressed fragments of ezrin we now demonstrate that ezrin has an actin-binding capability. We used glutathione-S-transferase fusion proteins of truncated ezrin in affinity chromatography to bind actin from the cell extract or purified rabbit muscle actin. We detected a binding site for filamentous actin that was localized to the COOH-terminal 34 amino acids of ezrin. No binding of monomeric actin was detected in the assay. The region corresponding to the COOH- terminal actin-binding site in ezrin is highly conserved in moesin, actin-capping protein radixin and EM10 protein of E. multilocularis, but not in merlin/schwannomin. Consequently, this site is a potential actin-binding site also in the other members of the protein family. Furthermore, the actin-binding site in ezrin shows sequence homology to the actin-binding site in the COOH terminus of the beta subunit of the actin-capping protein CapZ and one of the potential actin-binding sites in myosin heavy chain. The actin-binding capability of ezrin supports its proposed role as a membrane-cytoskeleton linker.
EigenSense : Saving User Effort with Active Metric Learning

Research in interactive machine learning has shown the effectiveness of live human interaction with machine learning algorithms in many applications. Metric learning is a common type of algorithm employed in this context, using feedback from users to learn a distance metric over the data that encapsulares their own understanding. Less progress has been made on helping users decide which data to examine for potential feedback. Systems may make suggestions for grouping items, or may propose constraints to the user, generally by focusing on fixing areas of uncertainty in the model. For this work in progress, we propose an active learning approach, aimed at an interactive machine learning context, that tries to minimize user effort by directly estimating the amount of change that potential inputs will have on the model and querying users appropriately. With EigenSense, we use eigenvector sensitivity in the pairwise distance matrix induced by a distance metric over the data to estimate how much a given user input might affect the metric. We evaluate the techinique by comparing the output points it proposes for user consideration against what an oracle would like to choose as inputs.
The performance of a novel pre-processor for the learning vector quantisation classifier

In this paper a novel pre-processing technique, known as the pseudo-cepstrum, is described. The technique is applied to a speaker independent, continuous speech recogniser, using Learning Vector Quantisation (LVQ) for the classification stage. The results of a set of performance comparisons between the pseudo-cepstrum, the conventional log-cepstrum and linear prediction will be presented. For each of these three pre-processors the effect of using a mixture of instantaneous, and first and second time differences are investigated. It will be shown that the pseudo-cepstrum, using a mixture of instantaneous and first time differences gives superior results. When this is translated into the lip shape classification, which is the intended output of this recognition system, the results are further improved.
An Empirical Comparison Between BPAnalysis and MPBE on the Campanulaceae Chloroplast Genome Dataset

The breakpoint phylogeny is an optimization problem proposed by Blanchette et al. for reconstructing evolutionary trees from gene order data. These same authors developed and implementedBPAnalysis [4], a heuristic method (based upon solving many instances of the Travelling Salesman Problem) for estimating the breakpoint phylogeny . We present a new heuristic for estimating the breakpoint phylogeny which, although not polynomial-time, is much faster in practice than BPAnalysis. We use this heuristic to conduct a phylogenetic analysis of the flowering plant famil y Campanulaceae. We also present and discuss the results of experimentation on this real dataset with three methods: our new method,BPAnalysis, and the neighbor-joining method [21], using breakpoint distances, inversion distan ces, and inversion plus transposition distances.
Image Sequence Stabilization in Real Time

his paper describes a method of stabilizing image sequences obtained by a camera carried by a ground vehicle. The motion of the vehicle can usually be regarded as consisting of a desired Tsmooth motion combined with an undesired non-smooth motion that includes impulsive or highfrequency components. The goal of the stabilization process is to correct the images so that they are approximately the same as the images that would have been obtained if the motion of the vehicle had been smooth. We analyse the smooth and non-smooth motions of a ground vehicle and show that only the rotational components of the non-smooth motion have significant perturbing effects on the images. We show how to identify image points at which rotational image flow is dominant, and how to use such points to estimate the vehicle’s rotation. Finally, we describe an algorithm that fits smooth (ideally, piecewise constant) rotational motions to these estimates; the residual rotational motion can then be used to correct the images. We have obtained good results for several image sequences obtained from a camera carried by a ground vehicle moving across bumpy terrain.
Role of Anisotropic Interactions for Proteins and Patchy Nanoparticles

Protein–protein interactions are inherently anisotropic to some degree, with orientation-dependent interactions between repulsive and attractive or complementary regions or “patches” on adjacent proteins. In some cases it has been suggested that such patch–patch interactions dominate the thermodynamics of dilute protein solutions, as captured by the osmotic second virial coefficient (B22), but delineating when this will or will not be the case remains an open question. A series of simplified but exactly solvable models are first used to illustrate that a delicate balance exists between the strength of attractive patch–patch interactions and the patch size, and that repulsive patch–patch interactions contribute significantly to B22 for only those conditions where the repulsions are long-ranged. Finally, B22 is reformulated, without approximations, in terms of the density of states for a given interaction energy and particle–particle distance. Doing so illustrates the inherent balance of entropic and energetic contributions to B22. It highlights that simply having strong patch–patch interactions will only cause anisotropic interactions to dominate B22 solution properties if the unavoidable entropic penalties are overcome, which cannot occur if patches are too small. The results also indicate that the temperature dependence of B22 may be a simple experimental means to assess whether a small number of strongly attractive configurations dominate the dilute solution behavior.
Understanding the Crime Gap: Violence and Inequality in an American City

The United States has experienced an unprecedented decline in violent crime over the last two decades. Throughout this decline, however, violent crime continued to concentrate in socially and economically disadvantaged urban neighborhoods. Using detailed homicide records from 1990 to 2010, this study examines the spatial patterning of violent crime in Chicago to determine whether or not all neighborhoods experienced decreases in violence. We find that while in absolute terms nearly all neighborhoods in the city benefited from reductions in homicide, relative inequality in crime between the city's safest and most dangerous neighborhoods actually increased by 10 percent. This increase was driven by a greater rate of decline in the city's safest neighborhoods. This crime gap can be partly attributed to the decreasing association between concentrated disadvantage and homicide in the safest neighborhoods. We also find that the decline did not significantly alter the spatial distribution of crime, as homicides remained concentrated in the initially most dangerous neighborhoods and their adjacent areas.
Self-selection along different export and import markets

How are firms' performances influenced by the specific characteristics of markets where exports are directed and imports originate from? Using a rich database on Italian manufacturing firms, this essay adds new evidence on the relationship between trade status and firm characteristics. First, exploiting firm-level information on the destination of export and the origin of imports, we observe the heterogeneity among firms trading with different type of markets. We show that different destinations of exports and different origins of imports map into distinctive firm characteristics. Second, we test the hypothesis that the self-selection mechanisms occur market to market. We observe that firms exporting to and importing from high income countries face higher sunk costs than those trading with less developed markets. Third, we investigate the underlying sources of these ex-ante differences by looking at how countries' characteristics such as population, exchange rate, productivity and distance may impact on firms' performances.
Exploring the significance of human mobility patterns in social link prediction

Link prediction is a fundamental task in social networks. Recently, emphasis has been placed on forecasting new social ties using user mobility patterns, e.g., investigating physical and semantic co-locations for new proximity measure. This paper explores the effect of in-depth mobility patterns. Specifically, we study individuals' movement behavior, and quantify mobility on the basis of trip frequency, travel purpose and transportation mode. Our hybrid link prediction model is composed of two modules. The first module extracts mobility patterns, including travel purpose and mode, from raw trajectory data. The second module employs the extracted patterns for link prediction. We evaluate our method on two real data sets, GeoLife [15] and RealityMining [5]. Experimental results show that our hybrid model significantly improves the accuracy of social link prediction, when comparing to primary topology-based solutions.
Cardiac Imaging Modalities in the Diagnosis of Coronary Artery Disease

Coronary artery disease is the leading cause of death in advanced countries. Early detection and diagnosis of coronary artery disease plays an important role in the identification of disease severity and prediction of disease outcome, consequently improving patient management. Diagnosis and management of coronary artery disease is increasingly dependent on less-invasive imaging modalities, including coronary CT angiography, cardiac magnetic resonance imaging, cardiac radionuclide imaging such as SPECT and PET modalities. Rapid developments of these imaging modalities have significantly improved the diagnostic performance of each imaging technique with high diagnostic accuracy achieved in both diagnostic and prognostic value in coronary artery disease. This editorial provides an overview of the diagnostic applications of a variety of less-invasive imaging modalities in the diagnosis of coronary artery disease. This special issue of “Arteriosclerotic Vascular Disease: Part II” in the journal of Clinical and Experimental Cardiology will give particular attention to contributions focusing on the clinical applications of these imaging modalities in the arteriosclerotic vascular disease, in particular, coronary artery disease.
An Exploratory Study on Internet Banking Usage in Semi - Urban Areas in India

Internet banking or online banking has revolutionized an integral activity of our modern twenty first century lives - 'banking'. Internet banking is conducted through a PC, PDA, a hand-held communication gadget or any mobile device offering Internet connectivity but with the development of Hi-Tech asynchronous technologies and secured electronic transaction technologies, however, more banks have come forward to use Internet banking both as a transactional as well as an informational medium. Even after having so many advantages, still some factors are there, which affects its usage. There are some of the psychological and behavioral factors which affect the adoption of any new innovation such as Internet banking include consumer awareness, ease of use, security, accessibility, techno phobia or simply reluctance to change, preference for personalized services and cost of adopting the innovation. This research paper was focused on to identify the factors that are the barriers for the usage of internet banking services and also to study the perception of customer about internet banking. The study was exploratory in nature and sample size considered for the study was 100 respondents, those were having account in that banks, which provide the Internet Banking facility, but they are not using it. The primary data was analyzed by factor analysis and identify the nine factors i.e. cost, reliability, processing barriers, security issues, technological incontinence, lack of infrastructure, conventional approach, risk and resistance, which were the barriers in the usage of Internet Banking services in the semi-urban areas.
Guaranteed Parameter Estimation of Discrete Energy Minimization for 3 D Scene Parsing

Point clouds data, obtained from RGB-D cameras and laser scanners, or constructed through structural from motion (SfM), are becoming increasingly popular in the field of robotics perception. To allow efficient robot interaction, we require not only the local appearance and geometry, but also a higher level understanding of the scene. Such semantic representation is also necessary for as-built Building Information Model (BIM) creation and infrastructure inspection. In this work, we present our discrete energy minimization based approach for 3D scene parsing. First, we contribute to the understanding of theoretical hardness of discrete energy minimization problems, which are also known as the MAP inference for MRF/CRFs. This theory explains why a previous scene parsing approach cannot have guaranteed optimality. Second, we propose a max-margin structural learning algorithm with performance guarantee. Finally, we demonstrate the performance and efficiency of our algorithm in the application of semantic labeling.
Influence of rat placental lactogen-I on the development of whole rat embryos in culture.

Rat placental lactogen-I (rPL-I), the first prolactin-like hormone expressed in the placenta during pregnancy in the rat, is known to influence maternal functions. In the present study, we have investigated the effects of rPL-I on the growth and development of cultured whole rat embryos. Rat embryos, with or without ectoplacental cone (EPC) attached, were explanted at day 9 of gestation. After 48 h of culture, the embryos, enclosed by the yolk sacs, were assessed by the presence of visible heart contractions ('heart beats'), crown-rump length (CRL) and yolk sac diameter (YSD). When intact embryos with EPC were cultured, the concentrations of rPL-I and rPL-II (products of EPC) in the medium were 850+/-841 and 92+/-181 ng/ml respectively (means+/-s.e.m.). In embryo cultures with the EPC removed, rPL-I levels decreased to</=10 ng/ml, and only 70% of the embryos were viable, with visible heart beats. In the viable embryos, both CRL and embryonic DNA synthesis were reduced compared with controls, and the addition of rPL-I (1 microg/ml) did not prevent this reduction. YSD and yolk sac DNA synthesis were also reduced compared with control embryos, and the addition of rPL-I significantly prevented this decrease by 45%. In embryos cultured without EPC in the presence of neutralizing rabbit anti-rat prolactin serum (anti-rPRL), embryonic and yolk sac DNA synthesis were reduced by 35% compared with embryos exposed to normal rabbit serum. Addition of rPL-I significantly increased (P<0.05) embryonic and yolk sac growth. Thus the effects of rPL-I on embryo growth could only be seen in the absence of prolactin. The addition of human prolactin in the presence of anti-rPRL also resulted in significant increases (P<0.05) in embryonic DNA synthesis and CRL. These results suggest that rPL-I may substitute for prolactin to influence the growth of the rat embryo.
A New Hypothesis on Facial Beauty Perception

In this article, a new hypothesis on facial beauty perception is proposed: the weighted average of two facial geometric features is more attractive than the inferior one between them. Extensive evidences support the new hypothesis. We collected 390 well-known beautiful face images (e.g., Miss Universe, movie stars, and super models) as well as 409 common face images from multiple sources. Dozens of volunteers rated the face images according to their attractiveness. Statistical regression models are trained on this database. Under the empirical risk principle, the hypothesis is tested on 318,801 pairs of images and receives consistently supportive results. A corollary of the hypothesis is attractive facial geometric features construct a convex set. This corollary derives a convex hull based face beautification method, which guarantees attractiveness and minimizes the before--after difference. Experimental results show its superiority to state-of-the-art geometric based face beautification methods. Moreover, the mainstream hypotheses on facial beauty perception (e.g., the averageness, symmetry, and golden ratio hypotheses) are proved to be compatible with the proposed hypothesis.