Inverse problem of photoelastic fringe mapping using neural networks

This paper presents an enhanced technique for inverse analysis of photoelastic fringes using neural networks to determine the applied load. The technique may be useful in whole-field analysis of photoelastic images obtained due to external loading, which may find application in a variety of specialized areas including robotics and biomedical engineering. The presented technique is easy to implement, does not require much computation and can cope well within slight experimental variations. The technique requires image acquisition, filtering and data extraction, which is then fed to the neural network to provide load as output. This technique can be efficiently implemented for determining the applied load in applications where repeated loading is one of the main considerations. The results presented in this paper demonstrate the novelty of this technique to solve the inverse problem from direct image data. It has been shown that the presented technique offers better result for the inverse photoelastic problems than previously published works

A geometric approach to visualization of variability in functional data

We propose a new method for the construction and visualization of boxplot-type displays for functional data. We use a recent functional data analysis framework, based on a representation of functions called square-root slope functions, to decompose observed variation in functional data into three main components: amplitude, phase, and vertical translation. We then construct separate displays for each component, using the geometry and metric of each representation space, based on a novel definition of the median, the two quartiles, and extreme observations. The outlyingness of functional data is a very complex concept. Thus, we propose to identify outliers based on any of the three main components after decomposition. We provide a variety of visualization tools for the proposed boxplot-type displays including surface plots. We evaluate the proposed method using extensive simulations and then focus our attention on three real data applications including exploratory data analysis of sea surface temperature functions, electrocardiogram functions and growth curves

Explaining co-movements between equity and CDS bid-ask spreads

In this paper I show that the co-movements between bid-ask spreads of equities and credit default swaps vary over time and increase over crisis periods. The co-movements are strongly related to systematic risk factors and to the theoretical debt-to-equity hedge ratio. I document that hedging and asymmetric information, besides higher funding costs and market volatility risk, are driving factors of the commonality and are significantly priced in CDS bid-ask spreads

Comprehensive Analysis of Homologous Proteins for Specific Drug Design

A drug is a chemical substance used in the diagnosis, treatment or prevention of disease or as a component of a medication, should be specific and freedom from side affect. Many issues should be addressed while designing a new drug or improving existing compound. The increase in the interdisciplinary nature of science gives bioinformatics, systems and computational biology, which helps in reducing research and development costs, minimize drug failures by predicting drug efficacy and toxicity. One of the most important pathogenic bacterium is Aeromonas species which causes tissue damage, acute gastroenteritis and neonatal septicemia. Bacterial proteins are the ultimate target to inhibit their growth and these are the executors of cellular function. In related to this we selected four such different proteins Flavohemo protein, Guanylate kinase, Topoisomerase and Oligopeptidase found to be present in both humans and Aeromonas to study the effects of antibiotics through in silico approaches. An attempt has been made to classify the inhibitors as host protein inhibitors or guest protein inhibitors. Finally we conclude that the molecule AgkI5 (2-morpholin-4-yl-thianthren-1-ylpyron-4-one) shown good inhibition with minimum binding energy -9.30, docking energy -10.03, inhibition constant 1.53e-007 and RMS 0.0 against Aeromonas Guanylate kinase [Aeromonas: Modelled] when compared to human Guanylate kinase [PDB ID: 1KJD]. So AgkI5 was predicted as a good antibiotic against Aeromonas Species.Keywords: Aeromonas species; Host; Guest; Guanylate kinase Docking; Protein Inhibitor

Assessment on awareness of rational prescribing practices among medical interns in a tertiary care hospital: a questionnaire based study

Background: Awareness about rational use of Medicines is required to improve the quality of health care system. Attitude towards rational drug use is also an utmost importance as they constitute the future generation doctors.Methods: A set of 13 questionnaire is given to the interns through an online link to their e-mail which contains informed consent and questionnaires. Respondents has to select the best suitable option and after which the data will be compiled and statistically analyzed.Results: Age of the study participants range from 22-26yrs. Half of them have finished major postings. Almost 96.1 % of them were aware of the term essential drugs. Only 25% of them said that they have NLEMI at work place, 75% of them were aware of the term Rational use of Medicines. Only 32% of them were aware of the term P drugs. 44% of them were aware of STEP criteria for selection of drug and 47% of them were aware of the updated prescribing format. 8% knew the difference between old and new prescription format, 25% of them always prescribe. Almost 82% of them narrate regarding the disease and drug therapy, 31% of them prescribe only generic name.Conclusions: Educational intervention like CME and practical hands on training in Rational use of Medicines would help them in better understanding of the subject and its clinical implications thereby decreasing the prescribing errors

Efect of maleated anhydride on mechanical properties of rice husk filler reinforced PLA Matrix Polymer Composite

Polylactic acid (PLA) formulated from corn starch has a bright potential to replace the non-renewable petroleum-based plastics. The combination of PLA and natural fbre has gained interest due to its unique performance, as reported in many researches and industries. Meanwhile, rice husk produced as the by-product of rice milling can be utilised, unless it is turned completely into waste. Therefore, in the present study, the rice husk powder (RHP) was used as a fller in the PLA, so to determine the infuence of the fller loading on the mechanical properties of the PLA composite. A coupling agent was selected for treatment from two options, i.e., maleic anhydride polypropylene (MAPP) and maleic anhydride polyethylene (MAPE), by applying the agents with various loading contents, such as 2, 4 and 6 wt%. The composite was fabricated by using the hot compression machine. Both the treated and untreated RHP–PLA composites were characterised via the tensile, fexural and impact strength tests. The increase in the RHP loading content led to the decrease in the tensile and fexural strengths. The applications of the coupling agents (MAPE and MAPP) did not improve the tensile and impact strengths, but the fexural strength was enhanced

Default risk, state ownership and the cross-section of stock returns: evidence from China

We apply a structural model to estimate firm-level default risk in China and investigate the stock return predictability of default risk and the moderating effects of state ownership for the sample period from 2003 to 2015. We show unique evidence that in China, default risk is positively associated with expected stock returns and state ownership matters considerably to the return predictability of default risk. We find investors of state-owned enterprises (SOEs) are not compensated appropriately in China despite of their higher default risk exposure. Our empirical evidence supports the conjecture on shareholder advantages and suggests that a strong bargaining power of equity holders would have a negative impact on stock returns

The Metagenomics and Metadesign of the Subways and Urban Biomes (MetaSUB) International Consortium inaugural meeting report

The Metagenomics and Metadesign of the Subways and Urban Biomes (MetaSUB) International Consortium is a novel, interdisciplinary initiative comprised of experts across many fields, including genomics, data analysis, engineering, public health, and architecture. The ultimate goal of the MetaSUB Consortium is to improve city utilization and planning through the detection, measurement, and design of metagenomics within urban environments. Although continual measures occur for temperature, air pressure, weather, and human activity, including longitudinal, cross-kingdom ecosystem dynamics can alter and improve the design of cities. The MetaSUB Consortium is aiding these efforts by developing and testing metagenomic methods and standards, including optimized methods for sample collection, DNA/RNA isolation, taxa characterization, and data visualization. The data produced by the consortium can aid city planners, public health officials, and architectural designers. In addition, the study will continue to lead to the discovery of new species, global maps of antimicrobial resistance (AMR) markers, and novel biosynthetic gene clusters (BGCs). Finally, we note that engineered metagenomic ecosystems can help enable more responsive, safer, and quantified cities