Consequence of Interactive Effect of Exchange Rate Volatility and Trade on GDP Growth

Exchange rate volatility has been regarded as a vital macroeconomic concern for the policy makers and its impact on economic growth has gained much attention from the researchers in recent years. Existing studies tried to analyze the impact focusing on financial development. In contrast, we have given effort to examine it taking into account the trade dependence of the country. A panel of seven developing Asian countries has been studied for a total of 29 years (from 1985 to 2013). In order to generate the variable “exchange rate volatility” GARCH (1, 1) model is used with the monthly exchange rate of the countries for the period 1985 to 2013. By using cross sectional dependence test and panel unit root test the variable properties has been diagnosed and Pooled OLS, Panel Least Squares with Single Fixed Effects as well as Both way Fixed Effects and Panel EGLS with Mixed Effects has been used as the estimation technique. The findings suggest that exchange rate volatility has significant negative impact on economic growth and the impact becomes even more negative whenever Trade – GDP ratio is considered. In particular the negative impact of exchange rate volatility becomes more negative the higher the Trade – GDP ratio of the country. The finding is found to be robust against the definition of exchange rate volatility

Analysis of Ring Yarn Properties Produced from Different Traveller Brands

A traveller is the tiny but significant part in ring frame in a short staple spinning mill. It is a small portion among all the parts of ring machine. It performs two most significant tasks like twisting without which spun yarn production cannot be imagined, and it aids in the winding of yarn on the cop. The traveller is one of the mechanical reasons for the hairiness properties of yarn. Two yarn of 30’s Ne KH (Card hosiery) was produced by using two same number of the traveller of different brands called Lakshmi Ring Travellers (LRT) and X-AXIS. All the processing parameters remained the same during the production of yarn. After that, Uster Evenness Tester 5 machine was used to determine the yarn properties such as unevenness percentage, imperfection index, hairiness, standard deviation of hairiness, standard deviation of hairiness in reference length 1 meter, and standard deviation of hairiness in reference length 3 meters. The end breakage rate was recorded through whole doff for the duration of the production of yarn in ring section. Statistical analysis used t-test to pair two samples to obtain the means for unevenness percentage, imperfection index, and hairiness. This was accomplished with Microsoft Excel 2013. Lakshmi Ring Travellers indicate better results than X-AXIS traveller. It can be decided from the t- test that there is no significant difference in unevenness and hairiness except imperfection index of two brands

Combined Contrast Enhanced and Wide-Baseline Technique for Kannada Text Detection in Images

  Text characters contained in images are a valuable source of information for content-based indexing and retrieval applications. These text characters are difficult to identify and distinguish due to their various sizes, grayscale values, and intricate backgrounds. The paper presents a new method for identifying text contained in images of any grayscale value. The proposed scheme uses a combination of contrast-limited adaptive histogram equalization (CLAHE) algorithm, which enhances the local contrast and limits any noise in the image, and the wide baseline image matching technique which helps locate an object in the image. Applying a series of morphological operations and filtering at each stage, the resultant component is the detected text which is either a character, word or a line segment. MATLAB based simulation and evaluation on a self-curated Kannada, a popular south Indian language and other standard datasets proves that the proposed technique outperforms other methods consistently on precision, recall and F1-score. Importantly, on the Kannada dataset, it returns the highest recall of 98% since the system is specifically tuned for its linguistic features proving its robustness. Further, the proposed technique can be extended to image pre-processing tasks for deep learning models to improve their accuracy and for text recognition tasks

Bacterial Isolates and Antimicrobial Susceptibility in Children with Acute Diarrhea at Ibn Sina Medical College, Bangladesh

Backround: Infectious diarrhea is one of common cause of children diarrhea causing mortality and morbidity worldwide. This study was performed to identify the common bacteria and their antimicrobial susceptibility in children with diarrhea. Methods: A retrospective study was conducted from April 2014 to March 2016 at IBN SINA Medical College Hospital, Bangladesh. Stool samples were cultured on MacConkey agar and blood agar. A standard biochemical procedure was used for full identification of bacterial isolates. Antimicrobial susceptibility tests were done on Mueller-Hinton agar by using disc diffusion method. Data were entered and analyzed by using SPSS version 20 and a p-value of < 0.05 was considered statistically significant. Results: A total of 186 stool samples were tested for bacterial isolation and 55 (29.57%) cases were found to have bacterial isolates. From the total bacterial isolates, the predominant isolate was E. coli 39 (70.91%) followed by Salmonella 9 (16.36%) and Shigella Spp.7 (12.73%). As much as 84.62% E. coli were resistant to co-trimoxazole and cefuroxime while 92.31% E. coli were sensitive to amikacin and 71.79% were sensitive to cefepime and gentamicin. Salmonella were 100% sensitive to cefepime, ceftriaxone, cefixime, ceftazidime, and ciprofloxacin. Shigella were 85.71% sensitive to amikacin and cefepime. Conclusion: The results show that E. coli were the most frequently isolated pathogen in children. The majority of the bacterial isolates were resistant to multiple antibiotics. Hence, antibiotics susceptibility test is mandatory before prescribing any antibiotics

Inclusion of higher-temperature effects in a soil behaviour model

This technical note presents a coupled thermo-hydro-mechanical model for unsaturated soil, which can be applied in the context of high temperature. A new pore gas or bulk air transfer equation is introduced. Additionally the effect of temperature on the latent heat of vapourisation and specific heat capacities is incorporated. Adsorbed water is also included. The performance of the model is demonstrated via the simulation of a high temperature (150°C) thermo-hydraulic-mechanical experiment carried out on a column of MX-80 bentonite by Commissarait à l'Energie Atomique, France. The model showed good correlation of experimental and numerical result

Mean Reversion of the Real Exchange Rate and the validity of PPP Hypothesis in the context of Bangladesh: A Holistic Approach

The real bilateral exchange rates in many countries have recently been found to be non-stationary in nature implying that they do not tend to revert to a long-run mean. Such empirical findings of real exchange rate being non-stationary in the long-run have thrown the well-known, yet now controversial, theory of Purchasing Power Parity (PPP) under fire. This paper aims to add to the few research works on the validity of PPP hypothesis in case of real exchange rate of Bangladesh by undertaking various approaches. We used five important real exchange rates for Bangladesh with its five important partners of international trade. For validating the PPP hypothesis the stationarity of these real exchange rates have been diagnosed. The tests range from the very rudimentary Augmented Dickey Fuller (ADF) and Phillips Perron tests and other univariate unit root tests, to the tests which addresses one/more breaks in the time series data and finally panel unit root tests that account for the possible presence of cross-sectional dependence in dataset. Such a thorough approach was taken to access the issue of the presence of unit root in real exchange rate in every way feasible, assuming the adjustment process is linear. Almost all the results corroborated each others’ conclusions that the real bilateral exchange rates of Bangladesh with five of its major trading partners are in fact not mean-reverting in the long run and so PPP hypothesis does not hold. Therefore, caution must be practiced when making policies for the country where the stipulated PPP hypothesis is assumed to be accurate

Conformational Basis for Asymmetric Seeding Barrier in Filaments of Three- and Four-Repeat Tau

*S Supporting Information ABSTRACT: Tau pathology in Alzheimer’s disease is intimately linked to the deposition of proteinacious filaments, which akin to infectious prions, have been proposed to spread via seeded conversion. Here we use double electron−electron resonance (DEER) spectroscopy in combination with extensive computational analysis to show that filaments of three- (3R) and four-repeat (4R) tau are conformationally distinct. Distance measurements between spin labels in the third repeat, reveal tau amyloid filaments as ensembles of known β-strand−turn−β-strand U-turn motifs. Whereas filaments seeded with 3R tau are structurally homogeneous, filaments seeded with 4R tau are heterogeneous, composed of at least three distinct conformers. These findings establish a molecular basis for the seeding barrier between different tau isoforms and offer a new powerful approach for investigating the composition and dynamics of amyloid fibril ensembles

Salivary Markers for Oral Cancer Detection

Oral cancer refers to all malignancies that arise in the oral cavity, lips and pharynx, with 90% of all oral cancers being oral squamous cell carcinoma. Despite the recent treatment advances, oral cancer is reported as having one of the highest mortality ratios amongst other malignancies and this can much be attributed to the late diagnosis of the disease. Saliva has long been tested as a valuable tool for drug monitoring and the diagnosis systemic diseases among which oral cancer. The new emerging technologies in molecular biology have enabled the discovery of new molecular markers (DNA, RNA and protein markers) for oral cancer diagnosis and surveillance which are discussed in the current review

Molecular docking studies of bisazo derivatives of 4-Acetyl resorcinol against lung cancer protein EGFR

Lung cancer is one of the malignant diseases mostly caused by tobacco users. EGFR, proto oncogene plays an important role in many biological processes apoptosis, transcriptional regulation, cell differentiation, cell spreading and mobility. The mutation occurs in EGFR, the normal function of EGFR is over expressed and leads to develop lung cancer. In this present study, we have developed lung cancer drug from bisazo derivatives through molecular docking studies against EGFR using Glide. From the docking results the compound I, IV and V have a better life score when compared to other compounds. The ADME properties were carried out for five bis azo molecules. These compounds are under acceptable range with predicted ADME properties. From the In-silico docking studies, we conclude the compounds I, IV and V are good drug for  lung cancer and inhibit over expression of EGFR in human