Assessment and Characterization of Airborne Dust in Coal Surface Mine

Now a day’s dust pollution is the major environmental issue inside an opencast mine, which has various effects on human life. There are a number of fugitive sources, and activities which cause dust pollution inside an opencast mine eg. Drilling, transportation, blasting, crushing, conveying, overburden face, haul road etc. Among these dust, there are some toxic and carcinogenic dust which are when exposed to the workers that lead to different serious health effects like silicosis and lungs cancer. So measurement of these dust concentration is necessary to know the impact of various mining activity on the surrounding environment. From the above view, this current project mainly focuses on the dust sampling by using high volume dust sampler i.e. Envirotech APM 460 NL and Envirotech APM 550, measuring the personal dust exposure of different workmen at different mining sites by using Personal Dust Sampler (Model Arelco Ineris CIP 10), and characterization of the dust collected from the filter paper by using FTIR (Fourier Transform Infra-Red spectroscopy). For this purpose Lajkura Opencast Project was chosen which produces 30 MT of coal per year for convenience, because as it is a large opencast mine so better knowledge can be gained from this mine regarding the concentration and effects of the dust. The dust sampling and monitoring was conducted during the month of March 2016 to get a good assess of dust. From the measurement through Envirotech APM 460NL the dust concentration was found out to be 1074µg/m3 and 984 µg/m3, and through Envirotech APM 550 dust concentration is found out to be 196 µg/m3. Personal dust exposure is also measured and the measured concentration was found to vary between 0.8mg/m3 to 1.3 mg/m3. From the characterization of the dust sample the compound that we found are Silica, Sulfates, Sulfoxide, and Carboxylates etc

Data Mining Technique to Interpret Lung Nodule for Computer Aided Diagnosis

Diagnostic decision-making in pulmonary medical imaging has been improved by computer-aided diagnosis (CAD) systems, serving as second readers to detect suspicious nodules for diagnosis by a radiologist. Though increasing the accuracy, these CAD systems rarely offer useful descriptions of the suspected nodule or their decision criteria, mainly due to lack of nodule data. In this paper, we present a framework for mapping image features to radiologist-defined diagnostic criteria based on the newly available data). Using data mining, we found promising mappings to clinically relevant, human-interpretable nodule characteristics such as malignancy, margin, spiculation, subtlety, and texture. Bridging the semantic gap between computed image features and radiologist defined diagnostic criteria allows CAD systems to offer not only a second opinion but also decision-support criteria usable by radiologists. Presenting transparent decisions will improve the clinical acceptance of CAD

Decision Based Adaptive Neighborhood Median Filter

AbstractImpulse noise in an image degrades the performances of the image processing and analysis stages. Therefore the noise removal and correction is an important processing required before performing any subsequent image processing approaches in the image data. In this paper a novel approach is proposed to remove the impulse noise from gray images. In this technique, all the pixels having gray value 0 and 255 are considered as the noisy pixels. The proposed method consists of three stages of filtering by considering the neighborhood pixels. The proposed method outperforms the Standard median Filter, Improved Fast Peer Group Filter and Modified Decision Based Unsymmetric Trimmed Median Filter

Knowledge, practices and gender discrepancies of migrant labours concerning malaria in Bhubaneswar, Odisha, India

Background: Bhubaneswar, the capital of Odisha is an up-coming city since 1960s. The capital is undergoing various developmental activities and rapid industrialization. This is leading to migration of labours from various districts of Odisha including malaria endemic districts. The records available in central malaria laboratory, Bhubaneswar revealed high malaria incidence (ranged from 5% to 11% during last five years).Methods: The study was undertaken in Bhubaneswar, Odisha, India, on migrant laboures (300 samples) through a pre-structured schedule.Results: The study revealed the migrated respondents were from malaria endemic districts of Odisha. The malaria endemicity of the districts ranged from 2.2-9.8. It was also found that only 6% of the migrants were from low endemic areas i.e. SPR5. Study of the awareness of the respondents showed 31% males and 9% females knew mosquito bite as a cause of malaria. Rapid Diagnostic Test showed twenty seven numbers of respondents tested positive for malaria (24 positive for PF and 3 positive for PV), out of them 6 were males and 21 were females. The study of their sleeping habits and personal protection methods showed that 32% respondents slept outdoor and 73% did not use anything as protection against mosquito bite. The study regarding knowledge of malaria signs and symptoms among respondents showed that the most commonly recognized signs and symptoms of malaria were headache (23%).  Vector incrimination study showed that per man hour density of an. stephensi is 5.7.Conclusions: Thus presence of efficient malaria vectors and inadequate knowledge in the migrant labour community and emphatically among female migrant labours regarding cause, symptoms, prevention, control measures and risks associated with malaria is the major reason of malaria transmission.

The study of K∗0K^{*0} meson production using a transport and a statistical hadronization model at RHIC BES energies

In this paper, we have discussed the centrality and energy dependence of $K^{*0}$ resonance production using UrQMD and thermal models. The $K^{*0}/K$ ratio obtained from the UrQMD and thermal models are compared with measurements done by the STAR experiment in Au+Au collisions at $\sqrt{s_{NN}}$ = 7.7, 11.5, 14.5, 19.6, 27 and 39 GeV. The $K^{*0}/K$ ratio from thermal model is consistent with data in most-peripheral collisions, however it over-predicts the ratio in central Au+Au collisions. This could be due to the fact that the thermal model does not have a hadronic rescattering phase, which is expected to be dominated in more central collisions. Furthermore, we have studied the $K^{*0}/K$ ratio from UrQMD by varying the lifetime of the hadronic medium within the range 5 to 20 fm/c. It was found that $K^{*0}/K$ ratio decreases with increasing lifetime of the hadronic medium. Comparison between data and UrQMD suggest, one needs to consider a hadronic lifetime $\sim$ 10-20 fm/c to explain data at $\sqrt{s_{NN}}$ = 7.7 - 39 GeV in Au+Au collisions. We also predict rapidity distribution of $K^{*0}$ from UrQMD which could be measured in the STAR BES-II program.Comment: 8 pages, 6 figure

Breaking of multiplicity scaling observed in K∗0/KK^{*0}/K ratio in baryon-rich QCD matter

In this study, we investigated the influence of collision energy and system size on hadronic rescattering by analyzing the production of $K^{*0}$ mesons using the Ultra Relativistic Quantum Molecular Dynamics (UrQMD) model. Analysis are done in Au+Au collisions at various center-of-mass energies ($\sqrt{s_{NN}}$ = 7.7, 11.5, 19.6, 27, and 200 GeV), as well as in Cu+Cu and isobaric (Ru+Ru and Zr+Zr) collisions at $\sqrt{s_{NN}}$ = 200 GeV at mid-rapidity. Our findings reveal that the ratio of $K^{*0}$ mesons to charged kaons ($K^{*0}/K$) decreases as the collision multiplicity increases. Moreover, at top RHIC energies, this ratio exhibits a smooth multiplicity scaling behavior. However, this scaling can be violated due to the formation of baryon-rich matter at lower beam energies, specifically $\sqrt{s_{NN}}$ = 11.5 GeV or below. These results highlight the importance of considering the interplay between collision energy, system size, and the chemical composition of the produced matter when studying the hadronic rescattering effects in heavy-ion collisions.Comment: 5 pages, 6 figure

Growth and infrastructure investment in India: Achievements, challenges, and opportunities

The paper analyses the recent scenario of infrastructure investment in India, with the recognition that inadequate infrastructure is one of the major constraints on India’s ability to sustain high GDP growth. It conducts an overview of the trends in infrastructure investment from the 10th Five Year Plan onwards, and tries to examine the linkage between infrastructure and economic growth. The results exhibit a very high rate of return and also highlight that, since resource constraints will continue to limit public investment in infrastructure in other areas, Public Private Partnership (PPP) project-based development needs to be encouraged wherever feasible

Hybrid Image Mining Methods to Classify the Abnormality in Complete Field Image Mammograms Based on Normal Regions

Breast Cancer now becomes a common disease among woman in developing as well as developed countries. Many noninvasive methodologies have been used to detect breast cancer. Computer Aided diagnosis through, Mammography is a widely used as a screening tool and is the gold standard for the early detection of breast cancer. The classification of breast masses into the benign and malignant categories is an important problem in the area of computer-aided diagnosis of breast cancer. We present a new method for complete total image of mammogram analysis. A mammogram is analyzed region by region and is classified as normal or abnormal. We present a hybrid technique for extracting features that can be used to distinguish normal and abnormal regions of a mammogram. We describe our classifier technique that uses a unique re-classification method to boost the classification performance. Our proposed hybrid technique comprises decision tree followed by association rule miner shows most proficient and promising performance with high classification rate compared to many other classifiers. We have tested this technique on a set of ground-truth complete total image of mammograms and the result was quite effective

A Real Man!

Arjun* is a community health worker who has been working in a remote, hilly region in the state of Odisha, India, for the past 10 years. This region is primarily inhabited by indigenous communities, known as Adivasis, and has had relatively poorer health outcomes until the past decade, when the Government of India introduced several health system reforms to strengthen public health service deliver

Evidence of chelonid herpesvirus 5 (ChHV5) in green turtles (chelonia mydas) from Sabah, Borneo

Fibropapillomatosis (FP) is characterized by cutaneous tumours and is associated with Chelonid herpesvirus 5 (ChHV5), an alphaherpesvirus from the family Herpesviridae. Here, we provide the first evidence of ChHV5-associated FP in endangered Green turtles (Chelonia mydas) from Sabah, which is located at the northern region of Malaysian Borneo. The aims of this study were firstly, to determine the presence of ChHV5 in both tumour exhibiting and tumour-free turtles using molecular techniques and secondly, to determine the phylogeography of ChHV5 in Sabah. We also aim to provide evidence of ChHV5 infection through histopathological examinations. A total of 115 Green turtles were sampled from Mabul Island, Sabah. We observed three Green turtles that exhibited FP tumours and were positive for ChHV5.In addition, six clinically healthy turtles were also positive for the virus based on Polymerase Chain Reaction of three viral genes (Capsid protein gene UL18, Glycoprotein H gene UL22 and Glycoprotein B gene UL27). The prevalence of the ChHV5 was 5.22% in asymptomatic Green turtles. Epidermal intranuclear inclusions were identified in tumour lesions upon histopathological examination. Thus, the emergence of ChHV5 in Green turtle in the waters of Sabah could indicate a possible threat to sea turtle populations in the future and requires further monitoring of the populations along the Bornean coast