Anapafseos 5 . Agios Nikolaos
Crete.Greece.72100
2841026182
2016-11-30T16-42-26Z
Source: Rawal Medical Journal
RMJ.
The Editorial Board of Rawal Medical Journal would like to thank the following individuals who reviewed manuscripts for volume 41, 2016
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A highly arsenic-metabolizing bacterial strain was isolated from an agricultural field known for arsenic contamination near Munshiganj (Bangladesh). Based on 16S rRNA gene analysis, the strain was identified as Micrococcus luteus and designated as strain BPB1. Arsenate and arsenite minimal inhibitory concentrations of 650 mM and 7.5 mM, respectively, were observed for strain BPB1, slightly higher than the figures observed in its close relative M. luteus DSM 20030T. Such observations were consistent with the presence of arsenic-metabolizing genes in the genome of M. luteus. We describe this strain as having an MSH/Mrx-dependent class of arsenate reductase, and an arsenite transporter family in the ACR3(1) group. Besides an intracellular arsenic resistance mechanism, experiments carried out using field emission scanning electron microscopy-energy dispersive X-ray spectroscopy (FESEM-EDS) and Fourier transform infrared spectroscopy (FTIR) demonstrated the ability of BPB1 to sequester arsenate in extracellular polymeric substances on its cell surface.
The Local Polynomial Approximation (LPA) is a nonparametric filter that performs pixel-wise polynomial fit on a certain neighborhood. This filter can be supported by the Intersection of Confidence Interval rule (ICI) as an adaptation algorithm to identify the most suited neighborhood at which the polynomial assumptions provide superior fit for the observations. However, the LPA-ICI is considered to be a near-optimal de-noising filter. Moreover, the ICI rule has several parameters that affect its performance. The current study applied an optimization algorithm, namely the Particle swarm optimization (PSO) to determine the optimal ICI parameter values for microscopic images de-noising. As the ICI parameters are image's structure based, bag-of-features classifier is used to classify the images based on their structure into different classes. Afterward, a generated optimal ICI parameters' table was created using the LPA-ICI-PSO for further direct use without optimization. This table included the optimal ICI parameters based on the image structure. Based on the image category, the generated table can be used to attain the suitable ICI optimal parameters without using PSO. This guarantees less computational time along with the optimal de-noising compared to the LPA-ICI as established by the performance metrics. The experimental results established the superiority of the proposed LPA-ICI-PSO over the classical LPA-ICI filter.
2016-11-30T04-28-41Z
Source: International Journal of Research in Medical Sciences
B. Janardhan, G. Vani.
Background: Dermatophytoses is common, more prevalent in tropical and subtropical countries including India. Though not life threatening as it can cause great discomfort particularly in immunosuppressive conditions. It remains a general public health problem, which is prevalent in all age groups and both sexes. Aims: To study clinicomycological profile of patients. Methods: The Cross Sectional study was done on clinically diagnosed cases of Dermatophytosis with sample size of 200 cases for one and half year period. Results: The males to female ratio are 1.86:1. The common age group affected was 31-40years. Dermatophytosis was common in active workers, more common in urban than rural population particularly in low socioeconomic group of people and in summer season. Tinea corporis was the common clinical variant. 133 cases were both KOH and culture positive. The KOH mount was positive in 90% cases. In the present study 144 patients (72%) had positive culture results and 47 cases were KOH positive but culture negative, 11 cases were culture positive but KOH negative and 9 cases were both KOH and culture negative. Microsporum audoinii was isolated in 2%, Trichophyton mentagrophytes in 14%, Trichophyton rubrum in 52% and Trichophyton violaceum in 4%. Conclusions: Tinea corporis and Tinea cruris were the most common clinical types. Tinea corporis was predominantly a disease of adult males whereas Tinea capitis was seen mainly in pre- pubertal age group. Potassium hydroxide (KOH) wet mount and cultures were done for all the cases. T. rubrum was the commonest species isolated from most clinical types followed by T. mentagrophytes except T. capitis where T. violaceum was isolated.
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