Miracle-dz/UniFAR-FTUs huggingface dataset:
Modeling Based Characterization of Thermorheological Properties of Polyurethane ESTANE

Shape-Memory Polymers (SMPs) have the ability to be deformed and memorize this deformation until an external activation stimulus (e.g., heat) is applied. Therefore, they have attracted great interest in many areas, especially for applications where reconfigurable structures are required (e.g., Shape-Memory (SM) stents or micro air vehicles). Nevertheless, prior to technical application, the effective thermomechanical behavior of SMPs must be thoroughly understood. In the current contribution, an assessment of thermorheological properties of the commercially available polyurethane system ESTANE is presented. Thermorheological properties were investigated using Dynamic Mechanical Thermal Analysis (DMTA) and complementary uniaxial stress relaxation experiments. Upon material parameter optimization, a finite viscoelastic and incompressible material model was used to model experimentally observed viscoelastic properties.
Reduction of triangulated categories and Maximal Modification Algebras for cA_n singularities

In this paper we define and study triangulated categories in which the Hom-spaces have Krull dimension at most one over some base ring (hence they have a natural 2-step filtration), and each factor of the filtration satisfies some Calabi-Yau type property. If C is such a category, we say that C is Calabi-Yau with dimension at most one. We extend the notion of Calabi-Yau reduction to this setting, and prove general results which are an analogue of known results in cluster theory. Such categories appear naturally in the setting of Gorenstein singularities in dimension three as the stable categories of Cohen-Macaulay modules. We explain the connection between Calabi-Yau reduction of $\underline{\rm CM} R$ and both partial crepant resolutions and Q-factorial terminalizations of Spec R, and we show under quite general assumptions that Calabi-Yau reductions exist. In the remainder of the paper we focus on complete local cA_n singularities R. By using a purely algebraic argument based on Calabi-Yau reduction of $\underline{\rm CM} R$, we give a complete classification of maximal modifying modules in terms of the symmetric group, generalizing and strengthening results in [BIKR] and [DH], where we do not need any restriction on the ground field. We also describe the mutation of modifying modules at an arbitrary (not necessarily indecomposable) direct summand. As a corollary when the field is the complex numbers, we obtain many autoequivalences of the derived category of the Q-factorial terminalizations of Spec R.
A multi-service data management platform for scientific oceanographic products

Abstract. An efficient, secure and interoperable data platform solution has been developed in the TESSA project to provide fast navigation and access to the data stored in the data archive, as well as a standard-based metadata management support. The platform mainly targets scientific users and the situational sea awareness high-level services such as the decision support systems (DSS). These datasets are accessible through the following three main components: the Data Access Service (DAS), the Metadata Service and the Complex Data Analysis Module (CDAM). The DAS allows access to data stored in the archive by providing interfaces for different protocols and services for downloading, variables selection, data subsetting or map generation. Metadata Service is the heart of the information system of the TESSA products and completes the overall infrastructure for data and metadata management. This component enables data search and discovery and addresses interoperability by exploiting widely adopted standards for geospatial data. Finally, the CDAM represents the back-end of the TESSA DSS by performing on-demand complex data analysis tasks.
A SHEPWM Technique With Constant v/f for Multilevel Inverters

This paper concern on a new application of selected harmonic elimination pulse width modulation technique (SHEPWM) for multilevel inverters. In this paper, first, the switching angles are calculated using constrained optimization technique. With these switching angles both the fundamental harmonic can be controlled and the selected harmonics can be eliminated. Then, using these calculated switching angles, a set of equation is formed which calculates the switching angles with respect to modulation index. Using this technique three-phase voltage has been obtained from a five-level cascade inverter. This voltage is applied to an induction motor. The dynamic behaviour of the induction motor has been examined for constant v/f operation and the simulation results have been given.
Secondary fate of pathogenic bacteria in livestock mortality biopiles.

Prominent bacterial pathogens, such as E. coli O157:H7 and Salmonellae sp. (SA), reside in multiple hosts, exist in animal,borne wastes, and are excreted by animals in large volumes. They have also been linked to increasing incidence of mammalian infections. Emerging zoonoses cause ≈12,24% of global infectious diseases, thus human and animal exposure to bacterial pathogens embodies a health risk. Livestock, for example, represent vectors for and defenses in bio, or agri,terrorism situations. It is impractical, however, to monitor for all bacterial pathogens due to difficulty, time, expense, virulence, and their ubiquity in nature. Indicator micro,organisms are therefore used to equate bacterial pathogen presence. Choosing a universal indicator is therefore a foremost concern that is continuously debated in academic and public circles. Escherichia coli (EC) and Streptococcus fecalis (SF) have historically been used as indicators of pathogens inherent in the gut of humans and warm,blooded animals. Since EC is the prominent species in the total (TC), fecal coliform (FC), and the Family Enterobacteriaceae (EB) groups, EC detection should coincide with detection of EB and TC. Likewise, TC or SA presence should elicit EB detection. Theoretically, since SF is not an EB member, no similarities in detection or ultimate fate should be observed. The crux of this research was to assess the fate of indicator bacteria fate in solid and liquid media associated with slaughterhouse,residual biopiles during the secondary composting phase. Traditional (membrane filtration; MF) and rapid (PetriFilm™) enumerative methods, and classical (TC, EC, SF) and non,classical (EB, SA, EC NAR) indicator bacteria, were used. This presentation will focus on the re,growth potential of these micro,organisms.
Real-Time Earthquake Early Warning and Public Policy: A Report on Mexico City's Sistema de Alerta Sismica

INTRODUCTION Most large earthquakes that pose a danger of strong ground motion in Mexico City occur along the subduction zone where the Cocos plate is moving beneath the North American plate, one of the most active subduction thrust faults in the Western Hemisphere (Esteva, 1988). The earthquakes of September 19 and 20, 1985, measuring 8.1 and 7.5, respectively, originated on a segment of this subduction zone known as the Michoacan gap. The first of these two events killed 10,000 people, left tens of thousands homeless, and caused the collapse of over 200 multi-story buildings and serious damage to 757 other buildings. This seismic zone has generated 42 earthquakes of magnitude 7 or greater this century, and there is concern that the next major earthquake to affect Mexico City will occur along the Guerrero Gap of the subduction zone, which lies approximately 320 kilometers from the capital. This section of the.
Equity Volatility Term Structures and the Cross-Section of Option Returns

The slope of the implied volatility term structure is positively related to future option returns. We rank firms based on the slope of the volatility term structure and analyze the returns for straddle portfolios. Straddle portfolios with high slopes of the volatility term structure outperform straddle portfolios with low slopes by an economically and statistically significant amount. The results are robust to different empirical setups and are not explained by traditional factors, higher-order option factors, or jump risk.
Correlates of Risky Sexual Behavior in the People's Republic of China

Correlates of Risky Sexual Behavior in the People’s Republic of China Kersti A. Spjut Department of Psychology, BYU Doctor of Philosophy Risky sexual behaviors, or behaviors with the risk of an adverse health outcome, are on the rise. Rates of Sexually Transmitted Infections (STIs) are also on the rise. Research suggests that several variables are closely related to human sexual behavior, namely sexual attitudes, HIV-transmission knowledge, and gender. Individuals with more permissive sexual attitudes tend to engage in riskier sexual behaviors. Studies examining the relationship between sexual knowledge and risky sexual behavior show both positive and negative associations. Although risky behaviors can occur between partners of any gender, the present study focuses on heterosexual relationships. The present study uses data from a nationally representative sample of 3,737 adults living in the People’s Republic of China (PRC) who completed a computerized interview about their sexual knowledge, attitudes, and behavior. I used structural equation modeling (SEM) to test a mediation model with permissive sexual attitudes as a mediator between HIV-transmission knowledge and four risky sexual behaviors: number of sexual partners, extradyadic sex, age of first intercourse, and paying for sex. I found significant indirect effects of attitudes on every risky sexual behavior other than age of first intercourse. There was a significant gender moderation such that attitudes predicted stronger effects on behavior for women than for men. These findings have implications for future efforts to create interventions and prevention programs for risky sexual behavior. Although the present study has some limitations, it contributes to a gap in the literature by replicating a Knowledge-Attitude-Behavior (KAB) model of risky sexual behavior a large, representative sample of adults across the PRC.
Influence of gust modelling on free-flight aerofoils

© 2017 International Forum on Aeroelasticity and Structural Dynamics (IFASD). All Rights Reserved. Gust analysis is one key task during design and certification of new aircraft. In the industrial standard, the gust is modelled as a disturbance in velocity and is superposed with the general velocity field surrounding the aircraft. The shape, typically sinusoidal or 1-cos, is uniform in vertical direction and is not changing while travelling through the computational domain. These assumptions known as the field or disturbance velocity method facilitate an efficient way of simulating gust encounter within computational fluid dynamics methods. However, how this frozen gust model effects the accuracy of loads predictions compared to more-realistic models remains an open question. A novel approach to simulate a so-called resolved gust is presented herein. An initial perturbation of the x-velocity is prescribed using a 1-cos shape in two spatial directions. Disturbances in vertical velocity as well as density and pressure are developing after some simulated time. Results are compared to the field-velocity method using the CRANK aerofoil covering subsonic and transonic flow conditions. Lift and moment responses are analysed as well as time histories of velocities at different grid locations. Furthermore, a second aerofoil is added as a horizontal tail-plane to represent a large civil aircraft. This configuration is used to include the effects of flight dynamics while analysing the responses due to the two gust models.
Foreign Direct Investment and Economic Growth in Sri Lanka

This paper examines the relationship between foreign direct investment and economic growth of Sri Lanka for the period 1977-2003 using Johansen’s full information maximum likelihood method by considering relationship between real gross domestic product, foreign direct investment, domestic investment and openness of the trade policy regime. The results indicate that foreign direct investments exert an independent influence on economic growth and there is bidirectional causality between foreign direct investment and economic growth. The finding suggests that better trade policy reforms, implementation aimed at promoting foreign direct investment and domestic investment, and restoring international competitiveness to expand and diversify the country’s exports have the potential of accelerating economic growth in the future. DOI: http://dx.doi. org/10.4038/sjae.v6i1. 3469 SJAE 2004; 6(1): 37-50
Labor Demand , Offshoring and Inshoring : Evidence from Swedish Firm-Level Data

The objective of this paper is to analyze effects on firm-level relative demand for skilled labor due to imports of intermediates (offshoring) and exports of intermediates (inshoring). The study is based on a dataset of Swedish manufacturing firms, 1997-2002, using actual trade flows in intermediate goods and services, respectively. Descriptive data show that goods inshoring is much larger than goods offshoring, while the reverse is true for services. There is however a strong increase in services inshoring over the study period. Controlling for potential endogeneity due to high-performing firms self-selecting into offshoring and inshoring, our results indicate that there is a positive effect of services offshoring while inshoring has no significant effect on the skill composition of workers in Swedish firms. JEL Classification: F14; F16
Novel Compact Multilayer Cross-Coupled Filter with Enhanced Inner Coupling Scheme

A novel cross-coupled resonator fllter with multilayer structure is presented in this paper. By using enhanced inner coupling structure and 3D layout, the resonator size is largely reduced, and high spurious frequency could be achieved. To validate the proposed topology, a cross-coupled 3D fllter with inner coupling capacitor is easily fabricated on a normal printed circuit board. The measured results show the characteristics of small size, good stopband performance and high spurious frequency.
Classification of Breast cancer Using Local Binary Pattern and Gabor Filter

: The proposed paper presents a novel approach for classification of breast cancer. Digital mammograms have become the most effective techniques for the detection of breast cancer. The goal of this research is to increase the diagnostic accuracy of image processing and machine learning techniques for optimum classification between malignant and benign abnormalities in digital mammograms by reducing the number of misclassified cancers. The Local Binary Pattern method and Gabor Filter is used to extract the texture features of the digital mammographic images. The respective texture features are given to Support Vector Machine classifier which successfully classifies benign cases, malignant cases and normal breast cases with accuracy 96.72%, 84% and 81.90% respectively.
APPROXIMATE BAYESIAN APPROACHES FOR REVERSE ENGINEERING BIOLOGICAL NETWORKS

Genes are known to interact with one another through proteins by regulating the rate at which gene transcription takes place. As such, identifying these gene-to-gene interactions is essential to improving our knowledge of how complex biological systems work. In recent years, a growing body of work has focused on methods for reverse-engineering these so-called gene regula-tory networks from time-course gene expression data. However, reconstruction of these networks is often complicated by the large number of genes potentially involved in a given network and the limited number of time points and biological replicates typically measured. Bayesian methods are particularly well-suited for dealing with problems of this nature, as they provide a systematic way to deal with different sources of variation and allow for a measure of uncertainty in parameter esti-mates through posterior distributions, rather than point estimates. Our current work examines the application of approximate Bayesian methodology for the purpose of reverse engineering regula-tory networks from time-course gene expression data. We demonstrate the advantages of our pro-posed approximate Bayesian approaches by comparing their performance on a well-characterized pathway in [i]Escherichia coli[/i].
Effect of increasing concentrations of total dissolved salts in drinking water on digestion, performance and water balance in heifers

SUMMARY In the near future, ruminants may be forced to consume low-quality water since potable drinking water will become increasingly scarce in some regions of the world. A completely randomized design trial was completed to evaluate the effect of increasing concentrations of total dissolved salts (TDS) (640, 3187, 5740 and 8326 mg TDS/l) in drinking water on the performance, diet digestibility, microbial protein synthesis, nitrogen (N) and water balance using 24 Red Sindhi heifers (200 ± 5 kg) that were fed Buffel (Cenchrus ciliaris) grass hay and concentrate in a ratio of 50 : 50. After a 15-day diet adaptation period, the digestion study was completed over a 5-day period and the performance trial was completed over a 56-day period. Dry matter intake, average daily gain, feed:gain, intake and digestibility of most feed components were unaffected by the concentration of salt in the water. However, intake and digestibility of neutral detergent fibre declined linearly as TDS inclusion rate increased. Further, the inclusion of TDS resulted in a linear increase in the intake of drinking water and total (food plus drinking) water intake. Similarly, TDS inclusion levels resulted in a linear increase in total water excretion, with urine being the major route of water excretion. In contrast, increasing concentrations of TDS caused a linear decrease in creatinine and allantoin excretions. Finally, increasing the inclusion rate of TDS resulted in a linear decrease in N retention and a linear increase in urinary N excretion, which may pose a considerable challenge for farmers with respect to the reduction and management of nutrient losses.
Ensuring Security by Detecting Zombies in Virtual Networks

Recent surveys say that users prefer secure services to affordable services. The systems that are connected to a network are highly vulnerable and the resources are under a chance of exploitation. The attackers are attracted towards such vulnerabilities which provoke them to deploy their attacks more effectively causing a denial of service. This leads to the loss of information and rise of many zombie machines. If one system is compromised and becomes a zombie, the dependent systems are more prone to similar attacks. Moreover, as the users share computing resources through the same switch and file systems, there is also a chance of insiders turning into attackers to obtain information about opponents. The attackers can launch several attacks such as buffer overflow and remote code execution to gain the root access privilege. Hence, the detection of such zombie exploitation attacks is extremely difficult. In this paper, a vulnerability detection mechanism is proposed. It is built on attack graph-based models. The major components are a network intrusion detection agent and an attack graph generator. It comprises of two phases: Identification phase and Graph generation phase. It performs attack detection and identifies the corresponding vulnerability that has been exploited by means of an attack graph. Keywords--Security, Intrusion detection system, vulnerability, attack graph
Information and communication technologies product market and protection of competition in the Republic of Serbia

Starting from the fact that the importance of information and communication technologies (ICT) for the development of a national economy is high, it has been examined how this sector and the situation in individual markets in the sector affect competition policy. All the most important markets of the ICT sector of Serbia are characterized by a high level of concentration measured using the HerfindahlHirschman Index (HHI) with a tendency of decrease. In such circumstances, there are three directions of changing approach to competition policy: (1) changing the angle of observation and estimation of the relevant market boundaries; (2) balancing between good and bad parties related to joining in research and development (R&D), and (3) a more attentive attitude towards patents and licenses, as a basis for the protection of intellectual property, but also barriers to entry into new market. What is required of contemporary competition policy is a dichotomous view of the boundaries of relevant product market. One which is focused on the services of one market from the ICT sector and the second one focused on integral observation of linked services from the ICT sector. Moreover, national competition bodies are required to mutually cooperate at a higher level through the formalization of the information exchange protocol. In the segment related to cooperation in the field of research and development and affirmation of intellectual property protection, through patents and licenses, special attention is required from competition policy so as not to impair the welfare of these institutions, while at the same time preventing uncompetitive behavior.
The Relationship between Trust and a Firm’s Access to Financing: Evidence from Transitional Countries

In our study we investigate the association between inter-organizational trust and access to financing for 11,500 firms across transitional countries (including Turkey). The results of our study contribute to the stream of economic development literature in two primary ways. First, we show that the degree of prepayment demanded by private sector firms from their customers tends to be a good measure of (dis)trust in business transactions. In transitional countries, whether or not a private firm demands prepayment for its sales is found to be a strong indicator of (dis)trust for its customers and/or a lack of confidence in the contract enforcement at the country level. Second, and most importantly, our econometric analyses suggest that enterprises in countries with high levels of inter-firm trust are more likely to obtain bank loans and less likely to report access to financing as a major obstacle to their businesses. This result remains robust with the inclusion of many controls and various specification checks as well as econometric adjustments for the potential endogeneity of trust and access to financing.
Manufacturing employees’ big five personality dimensions and their relationship to job satisfaction

Earlier studies have indicated that employees’ personalities influence their job satisfaction. Thus, this study aims to examine the relationship between the Big Five personality dimensions and job satisfaction in the manufacturing industry. This study also intends to determine which personality dimension is closely related to job satisfaction. 106 employees from the manufacturing industry in Muar, Johor were selected randomly to complete the Big Five personality questionnaire (NEO-FFI-3) and Minnesota Satisfaction Scale (MSQ). The result revealed that only extraversion, openness and conscientiousness are significantly correlated to employees’ job satisfaction. Conscientiousness is the closest dimension related to job satisfaction. This quantitative study provides new empirical evidence and contributions to the manufacturing industry.