Miracle-dz/UniFAR-FTUs huggingface dataset:
Global interactions between firms and universities: Global Innovation Networks as first steps towards a Global Innovation System

This paper aims to broaden the horizon as well as to shed further light on the studies of interaction between firms and universities in a global context. Its starting point is thus a review of two different strands of the literature on innovation. First, the literature on interaction by Klevorick et al (1995) and Nelson (1993), and second, the more recent literature on Global Innovation Networks (GINs) by Ernst ( 2006) and The Economist Intelligence Unit ( 2007). These strands share a common problem: each has a blind spot in relation to the core focus of the other strand. The literature on interaction does not consider the international dimension in any depth, and the GINs literature does not integrate the university dimension adequately. This paper addresses the common weakness through a combination of the two approaches, searching for interactions between firms and universities globally. In doing so, the paper also puts forward a tentative framework on global interaction between firms and universities.
Robotic competitions: short term pain for long term gain

In the last two decades many extracurricular robotics competitions have been established for university students, but there has been little academic research on whether they are benecial or detrimental to their target audience. By focusing in-depth on one such competition, National Instruments Autonomous Robotics Competition (NIARC), this paper examines the student experience, academic performance changes and identies other outcomes, that are inuenced by robotic competitions. Although the results cannot be generalised to all students in all such competitions, the paper identies important factors that need to be considered when deciding to promote these competitions to students. The student narrative shows that the competition has positively contributed to their studies, with a GPA analysis of Victoria University of Wellington (VUW) students suggesting improvements for team members in the long term.
Electronic customer relationship management (E-CRM) features: Comparing two football clubs (Manchester United & Chelsea FC)

Electronic customer relationship management (e-CRM) is a vital activity of sports marketing that allows building longterm relationship between companies and its customers or fans.This paper examines the content analysis ofthe websites of two football clubs (FC), Manchester United (MU) and Chelsea, focusing specifically on the e-CRM features on the websites. The different use of e-CRM features in both MU and Chelsea FCs are highlighted.The findings demonstrate that both FC teams utilize some of the e-CRM features.
A novel prefilter-type beamformer robust to directional error

SUMMARY Some conventional beamformers require the direction of the desired signal. The performance of such beamformers can substantially be degraded even in the presence of small error on the directional information. In this letter, we propose a prefilter-type beamforming scheme robust to directional error by employing a simple compensator. The performance
Disparity of outcomes: the limits of modeling amyotrophic lateral sclerosis in murine models and translating results clinically

Amyotrophic lateral sclerosis (ALS) is a devastatingly progressive neurodegenerative disorder with multiple underlying etiological factors contributing to disease pathogenesis. Despite intensive research efforts and therapeutic development, disease presentation in ALS remains largely intractable to intervention. To date, the most common rodent model used in pre-clinical drug development accounts for a small proportion of the affected patient population and is predicated upon the significant overexpression of a mutant form of the human antioxidant protein, superoxide dismutase 1 (mSOD1). After more than 50 clinical trials, there is an alarming paucity of positive outcomes at the clinical level of ALS therapeutics with strong supporting pre-clinical data in mSOD1 models. Potential reasons for the negative clinical results are multifactorial in nature and include an overly reductionist model system that is heavily influenced by individual transgene level variation, as well as attempting to widely apply findings derived from a model of specific genetic causality to a patient population where the majority of cases are of unknown etiology. With such a tremendous disease burden and a lack of therapeutic options, it is critical that the research community re-evaluate the dependence on mSOD1 pre-clinical models as the gold standard prior to translating findings at the clinical level. Here we briefly review both the clinical and pre-clinical findings of select therapeutics, discuss the limitations of pre-clinical mSOD1 models, and suggest future stratagems that could aid in the clinical translation of efficacious therapeutic agents. Supplementary files: The supplementary files of this article are found under 'Article Tools' at the right side bar.
Comparing the Efficacy of Virtual and Conventional Methods in Teaching Practical Pathology to Medical Students

Electronic learning introduces a teaching device for deeper and more efficient learning. A study was conducted by the Pathology Department of Tehran University of Medical Sciences, Tehran, Iran. The topic of practical pathology was selected earlier based on the curriculum. High-quality digital images of the slides were presented in the form of an e-file. The medical students were asked to register for participation in conventional or virtual groups. The first group underwent traditional education and members of the virtual group were given the website address to click into the website where the materials were uploaded. At the end of the semester, both groups were scientifically evaluated. The mean final pathology exam grade in the virtual group was higher than that of the control group; however, the difference between groups was not statistically significant (P=0.658). In conclusion, it was observed that in teaching practical pathology, virtual education may be as effective as conventional method.
Globalization and Monetary Policy Comovement: Evidence from G-7 Countries

This paper empirically characterizes comovement in monetary policy of G-7 countries during 1980-2009. I estimate a Taylor rule for each country and use residual from the Taylor rules to estimate a dynamic latent factor model with common and Europe speci c factors. I quantify importance of the G-7 factor in explaining comovement in residual variation of monetary policy and show that the G-7 factor is particularly important during a period of globalization (1988-2003). I estimate dynamics of importance of the G-7 factor using rolling sub-samples and show that trade-openness increases comovement in monetary policy in Europe.
Lucia Jig: temporomandibular dysfunction promotes muscle relaxation?

Assess whether the Lucia Jig is a device that promotes masticatory muscle relaxation in individuals with temporomandibular dysfunction. This study was carried out in three stages (interviews, clinical examination, and laboratory) and participation of adult individuals, between 21 and 40 years of age, of both genders, who replied to the RDC/TMD questionnaire to diagnose muscular temporomandibular dysfunction. The Lucia Jig was prepared and electromyographic examination of the masseter and temporal muscles was performed bilaterally, in the postural condition of the mandibular at rest, after immediately installing the Lucia Jig in the oral cavity and at periods of 5, 10, 15, 20, and 30 min. The values obtained were compared using repeated measures (p < 0.05) over the entire duration of the experiment (0 to 30 min) with the Lucia Jig. There was an increase in the normalized electromyographic signal of the masticatory muscles, with the use of the Lucia Jig over the period of 30 min, with no statistically significant difference. Based on the results of this study through electromyographic data, the device did not promote masticatory muscle relaxation in individuals with muscular temporomandibular dysfunction.
From Online Community Data to RDF

Large amounts of data are created within online community sites (forums, blogs, etc.). These can serve as a valuable source of information for web users, and usually contain rich meta-information. Most of this information is stored in relational databases, but unfortunately remains locked into these databases and cannot be used by other applications. The SIOC project is aimed at providing guidelines for making this information available on the Web and for using this information for connecting online community sites together. SIOC aims to let other sites know more about the structure and contents of online communities, and to make more use of tagging and semantic metadata in these sites. This position paper describes the approach we have adopted for making online community site data available in RDF from many applications, and we will illustrates it through the example of a SIOC export tool for b2evolution blog engine. As opposed to extracting data directly from a relational database, we attempt to tie our RDF data producers into the associated application logic for each system and reuse built-in functions and APIs where possible to generate RDF data.
Tight-binding model investigation of the biaxial strain induced topological phase transition in GeCH3

We propose a tight-binding (TB) model, that includes spin-orbit coupling (SOC), to describe the electronic properties of methyl-substituted germanane (GeCH$_3$). This model gives an electronic spectrum in agreement with first principle results close to the Fermi level. Using the $\mathbb{Z}_2$ formalism, we show that a topological phase transition from a normal insulator (NI) to a quantum spin Hall (QSH) phase occurs at 11.6\% biaxial tensile strain. The sensitivity of the electronic properties of this system on strain, in particular its transition to the topological insulating phase, makes it very attractive for applications in strain sensors and other microelectronic applications.
U-Pb zircon ages for a collision-related K-rich complex at Shidao in the Sulu ultrahigh pressure terrane, China.

The Shidao complex at the eastern extremity of the Sulu ultrahigh pressure (UHP) terrane is composed of oldest pyroxene syenite, quartz syenite and youngest granite intrusives of the K-rich shoshonitic series. U-Pb zircon dating yields nearly concordant ages of 225 ± 2, 211 ± 3 and 205 ± 5 Ma for pyroxene syenite, quartz syenite and granite, respectively. The ages closely postdate the 240 to 220 Ma UHP metamorphism and correspond to the rapid cooling and exhumation of UHP rocks. A close genetic relation may exist between the formation of the Shidao intrusives and the continental collision and UHP metamorphism. However, the K-rich Shidao intrusive rocks are different from common syn-collisional granites in association of K-rich and granitic magmatism. A breakoff model is postulated to explain the formation of the complex. The breakoff of the subducting slab caused the rapid exhumation of the UHP terrane. Mantle upwelling resulted in basaltic magmatism and formation of the K-rich complex. Formation of the Shidao complex marked the cessation of the UHP metamorphism and the oldest ages of 225 ± 2 Ma of the complex is the minimum timing for the UHP metamorphism.
Analyzing the Propagation Behavior of a Gaussian Laser Beam through Seawater and Comparing with Atmosphere

Study of the beam propagation behavior through oceanic media is a challenging subject. In this paper, based on generalized Collins integral, the mean irradiance profile of Gaussian laser beam propagation through ocean is investigated. Power In Special Bucket (PIB) is calculated. Using analytical expressions and calculating seawater transmission, the effects of absorption and scattering on beam propagation are studied. Based on these formulae, propagation in ocean and atmosphere are compared. The effects of some optical and environmental specifications, such as divergence angle and chlorophyll concentration in seawater on beam propagation by using mean irradiance, PIB and analytical formula of oceanic transmission are studied. The calculated results are shown graphically.
Please cite this article: DIAGNOSTIC VALUE OF NONINVASIVE COMPREHENSIVE MORPHOLOGIC AND FUNCTIONAL ASSESSMENT OF CORONARY ARTERY DISEASE DIJAGNOSTIČKA VREDNOST SVEOBUHVATNE NEINVAZIVNE PROCENE MORFOLOŠKIH I FUNKCIONALNIH KARAKTERISTIKA KORONARNE BOLESTI

Background:Recently adopted technique, Transthoracic Doppler Echocardiography (TDE) enables the estimate of functional significance of coronary luminal narrowing. Multi-slice computed coronary angiography (MSCT),as one of the most important noninvasive methods, offers us a quite precise visualization of morphological characteristic of atherosclerotic changes in coronary arteries. We have tried to evaluate the most reliable noninvasive approach aimed at the detection of major stenosis on the left anterior descending artery (LAD) and right coronary artery (RCA). Methods: This study involved 84 patients, with previously detected atherosclerotic lesions on LAD and/or RCA by MSCT. CFR assessment by TDE with adenosine was obtained in LAD (n=75); RCA (n=61), resulting in 136 vessels subjected to the analysis. Invasive coronary angiography (ICA) wasperformed in all patients within 24 to 48 hours after CFR as a reference technique. Results:Cochrans Q test proved a significant statistical difference among these techniques in detection of a significant stenosis on LAD and RCA (p<0.01). Further analyzes have revealed a significant difference between MSCT and CFR (p<0.05), MSCT and ICA (p<0.01), whereas we did not find a significant difference between CFR and ICA (p>0.05). The main discrepancies in results between CFR, ICA and MSCT were noticed concerning intermediate and severe stenosis on MSCT. MSCT had a diagnostic accuracy for LAD:66.67%; RCA:75.00%, CFR had for LAD:90.00%; RCA:81,67%, in detection of significant stenosis. Where the consensus was reached between both techniques, diagnostic accuracy was improved to LAD 97.33%; RCA 90.00%.
Revisiting serial dependence in the stock markets of the G7 countries, Portugal, Spain and Greece

This article uses several tests to analyse serial dependence in financial data, trying to confirm the existence of some kind of nonlinear dependence in stock markets. In an attempt to provide a better explanation of the behaviour of stock markets, we used tests based on mutual information and detrended fluctuation analysis (DFA). Applying these tests to the series of stock market indexes of 10 countries, we concluded for the absence of linear autocorrelation. However, with other tests, we found nonlinear serial dependence that affects the rates of return. With DFA, we found out that most return rate series have long-range dependence, which appears to be more pronounced for Spain, Greece and Portugal. To confirm the inefficiency of those markets, based on our results, we should prove the existence of abnormal profits.
Approaches to design of shallow foundations for low-rise framed structures

We compare two approaches to the design of the foundations for low-rise reinforced concrete framed structures founded on discrete shallow footings. The underlying soil is stiff clay. The first approach considers the foundations separately from the structure, uses the equivalent static method to estimate foundation actions, and then proportions the foundations to have adequate bearing strength under these actions. The second considers an integrated model of the structure-foundation system. Computer modelling was undertaken using RUAUMOKO (Carr 2004), a nonlinear dynamic structural analysis program. The framed structures on shallow foundations, connected with tie beams (not considered to be part of the foundation), were analysed and the effects of structural yielding, nonlinear soil behaviour and foundation uplift were determined. Yielding and uplift characteristics of the foundations have been modelled by adapting available structural models in the software. The main conclusion from the paper is that the sophistication of the integrated computer model gives an enhanced understanding of the behaviour of the system that may lead to more economical foundation design.
Late Blight Prediction and Analysis

Phytophthora infestans cause severe losses in potato cultivation. Currently one of the most effective ways to reduce the related loss is using fungicides. For these to have optimal effect they must be applied approximately 10 days before the first visual sign of late blight. As the appearance of late blight is hard to predict there is heavy overcompensation of fungicides nowadays. By better forecasts less chemical compounds will be used lowering the environmental impact. It may also increase the profit from potato cultivation as less money goes to fungicides. There are several models trying to predict the late blight appearance date of which one of the most well known is SIMCAST. Also Cox regression models have recently been looked into. Is it possible to improve these models? Moreover what financial impact will it have for farmers? First an empirical investigation of the data was conducted for a general understanding of the subject. Then it was analyzed using, linear regression, Cox regression, Elastic net and cross-validation. To fill in missing data imputation was used. The best performing model was obtained through Cox regression using SIMCAST and planting day as covariates. It had approximately the same failure ratio as foliage prediction which is currently used, but had 23% more accurate predictions and lower standard deviation. SIMCAST was principally out-performed by all other models. Using elastic net it was possible to obtain models which was approximately as good as the best model. Using the best model savings around 422 SEK/ha can be made from reduced fungicides alone. The newly obtained models has potential to increase the profit of potato cultivation. Also by these the accuracy of prediction would contribute to lower environmental impact. Notable is that the data used is not optimal for the experiment as some had to be estimated etc. hence before relying on these models field experiments should be considered.
Discontinuous Galerkin Method for Material Flow Problems

For the simulation of material flow problems based on two-dimensional hyperbolic partial differential equations different numerical methods can be applied. Compared to the widely used finite volume schemes we present an alternative approach, namely, the discontinuous Galerkin method, and explain how this method works within this framework. An extended numerical study is carried out comparing the finite volume and the discontinuous Galerkin approach concerning the quality of solutions.
Modelling Japanese import demand function for Indian seafood products

Using a partial adjustment modelling (PAM) approach, this paper examines the behaviour of Japanese import demand for Indian seafood products during the period January 1995 -March 2000. It is found that lag demand, income, seasonality and time trend significantly influencing the import demand behaviour of Japan for the Indian seafood products. The Indian seafood industry, as well as the fishing industry, may wish to consider the findings to formulate appropriate marketing strategies to sustain export market returns and maintain long term sustainability of the resource.
A Novel HPF of Substrate Integrated Waveguide

Summary Utilizing filters to suppress spurious signals is inevitable in communication systems. In some applications, where the level of spurious signals is high or the frequency of LO is near to IF (in up-conversion), increasing the slope of the filter to eliminate spurious signals is unavoidable. In this paper we are going to present an idea about usage of evanescent mode of Substrate Integrated Waveguide (SIW) as a High Pass Filter (HPF), to excellently reject spurious signals and a novel method for matching between the filter and a microstrip line for this filter is presented. The mathematical calculations based on the presented method and the structure, and also the similarities between the calculations and the simulations done by HFSS confirm the efficiency of this new method. The validation of method is shown by measurement results.
Scale-invariant object tracking method using strong corners in the scale domain

The object tracking method using the scale-invariant feature transform SIFT is applicable to rotated or scaled targets, and also maintains good performance in occluded or intensity-changed images. However, the SIFT algorithm has high computational complexity. In ad- dition, the template size has to be sufficiently large to extract enough features to match. This paper proposes a scale-invariant object tracking method using strong corner points in the scale domain. The proposed method makes it possible to track a smaller object than the SIFT tracker by extracting relatively more features from a target image. In the pro- posed method, strong features of the template image, which correspond to strong corner points in the scale domain, are selected. The strong features of the template image are then matched with all features of the target image. The matched features are used to find relations between the template and target images. In experimental results, the proposed method shows better performance than the existing SIFT tracker. © 2009
Determinants of Capital Structure and Testing of Theories: A Study on the Listed Manufacturing Companies in Bangladesh

The objectives of this study are to identify the significant determinants of capital structure of the listed manufacturing companies in Bangladesh and to test the relevant capital structure theories. This study used a panel dataset including 74 manufacturing companies listed under 8 industries in Dhaka Stock Exchange (DSE) for the period of 2002-2011. The Unit Root tests suggested that all series were stationary. Using Panel Corrected Standard Error Regression Model and Random Effects Tobit Regression Model, all selected variables were found significant. Managerial ownership positively and Growth rate, Profitability, Debt service coverage ratio, Non-debt tax shield, Financial costs, Free cash flow to firm, Agency costs and Dividend payment negatively affect the capital structure. Tangibility and Liquidity ratio have positive relationship with Long term debt and negative relationship with Short term debt and Total debt. It was also found that Pecking-order theory and Static Trade-off theory are the most dominant capital structure theories in Bangladesh. The policy implication is that the financial managers should consider these determinants as yardsticks before taking the leverage decisions in order to choose the most favorable capital structure for the company so that it maximizes the shareholders’ value.
Two step sintering of ZnTiO3 nanopowder

Metastable nanopowder ZnTiO3 was pressed into cylindrical compacts at 200 MPa. Compacts were treated by conventional heating with isothermal holding at 931 oC for 10 minutes, 25 minutes and 40 minutes. ZnTiO3 compacts were also heated with a two-step sintering schedule with maximal 913 oC and isothermal holding at 896 oC, for approximately the same holding times as the isothermal schedule. Shrinkage during heating was monitored with a dilatometric device, while microstructure was determined with atomic force microscopy. XRD patterns were collected for the most interesting samples. Microstructures of sintered specimens showed differences introduced during the last sintering stage by the two different heating schedules. Goal of the presented work was to discuss the possible sintering mechanisms for the two step sintering schedulle according to the presented results.