A Gendered Analysis of Fisherfolk’s Livelihood Adaptation and Coping Responses in the Face of a Seasonal Fishing Ban in Tamil Nadu & Puducherry, India

This study investigates how people respond to economic stresses incurred as a result of natural resource regulations. Previous research has demonstrated that in some cases, men and women adapt differently to livelihood stresses. We argue that looking only at an individual’s sex is insufficient for understanding why they adapt the way they do. Instead, using the framework of intersectionality, we examine individuals’ adaptation strategies and coping responses influenced not only by their sex but also their power and class. Using the case of a closed fishing season in Tamil Nadu and Puducherry, India we employ interviews, seasonal activities calendars, and surveys to identify key variables that influence an individual’s likelihood of employing reactive strategies that may threaten their longer term livelihood sustainability. We show that if we categorize individuals only by sex, then women are more likely to resort to reactive coping than men. However, this sex divide in reactive coping is driven by particular subsets of people who also lack power and/or capital. Furthermore, we find that power and class lead to different outcomes for men and women, with networked power most helpful to women above a certain financial threshold. This study highlights the necessity of examining gender and livelihood adaptations beyond the male versus female dichotomy: considering intersecting and locally relevant measures of power, class, and sex are pivotal in understanding why people adapt and cope the way they do. This understanding of adaptation options may also have implications for resource management decisions that do not force individuals to choose between long-term livelihood resilience and response to immediate stresses

Biological Pacemakers – A Review

Slow heart rates, due to sinus node disease or atrioventricular conduction block, are a significant problem for many patients. Currently, these patients are treated with electronic pacemakers, which provide effective therapy, but are also associated with many problems. Use of biological pacemakers is an attractive solution to these problems. Approaches for the creation of such pacemakers include either the injection of cells that have pacemaker activity (cell-based approach) or modification of cells in the heart to induce pacemaker activity by delivering genes (gene-based approach). This article reviews the progress in the development of biological pacemakers

Assessment of Thyroid Function in Patients with Systemic Lupus Erythematosus and Its Clinical Correlation

Systemic lupus erythematosus (SLE) is a multisystemic inflammatory disease of autoimmune aetiology. One of the commonest organ affected by SLE is thyroid gland .Thyroid disease is more common in SLE patients when compared to the general population even in patients do not have clinical symptoms. The main aim of this study is to assess the thyroid dysfunction among the patients of SLE with their clinical parameters and to emphasize the routine use of thyroid function in patients with SLE. 100 patients of SLE was included in this study. Free T3, Free T4, TSH Ultrasound neck and lipid profile was evaluated. In our study, a significant level of thyroid function test abnormality was detected in patients with SLE. Subclinical hypothyroidism was the most common abnormality found which is about 17% of patients followed by clinical hypothyroidism. (8%). There was no clinical and subclinical hyperthyroidism was found in our study .The symptoms are not correlating clinically in the patients of SLE with thyroid dysfunctio

Birdland

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Screening and fractional purification of antimicrobial compound of Streptomyces sp. MAB 18 isolated from coastal sediment of Nagapattinam, south-east coast of India

662-669A total of 42 strains of actinobacteria were isolated from five different stations. Out of these 42 isolates, the suspected 10 actinobacterial strains were screened and inoculated for purification, and based on the preliminary screening results, MAB18 was taken to investigate the extraction evaluation of its antimicrobial property. Then it was tested against bacterial and fungal pathogens. The highest zone of inhibition was observed against E. coli (8.2±0.8mm), P. aeroginosa (10.4±0.6 mm), Vibrio harveyi (7.2±0.8mm), S. typhi (10.6±-0.4 mm) for bacteria and A. niger (11.2±0.8 mm), and A. flavus (9.8±0.2 mm) C. albicans (10.4±0.6mm), and Penicillium sp. (7.2±0.8mm), for fungi, whereas it was 21.4±0.6 and 20.4±0.6 mm for the standard ampicillin and nystatin. The antibiotic producing actinomycetes may be tapped as one of the India’s potential source of novel antibiotics to be used against both bacterial and fungal pathogenic organisms

Ascension

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Scientometric profile of solar energy research in India

An analysis of the Indian literature output scanned in Web of Science during 1999–2011 on solar energy research indicates that the growth of the literature. The area of solar fuels and Material sciences multidisciplinary has received maximum attention. Publication output of literature by different countries collaboration follows the trend in basic sciences with USA and South Korea being the major producers with India. The contribution of Indian Institutions and Global Citation Scores, h-index, g-index and gh-index has been analysed

Thermostable &#945-amylase production by Bacillus firmus CAS 7 using potato peel as a substrate

Thermostable alkaline α-amylase producing bacterium Bacillus firmus CAS 7 strain isolated from marine sediment of Parangipettai coast grew maximally in both shake flasks. Potato peel was found to be a superior substrate for the production of α-amylase at 35°C, pH 7.5 and 1.0% of substrate concentrations. Under optimal conditions, B. firmus produced 676 U/ml of -amylase which was optimally active at 50°C and pH 9.0.Key words: α-Amylase, potato peel substrate, Bacillus firmus CAS 7, thermostable, marine

Biomedical image classification using seagull optimization with deep learning for colon and lung cancer diagnosis

Traditional health care relies on biomedical image categorization to identify and treat various medical conditions. In machine learning and medical imaging, biomedical image classification for colon and lung cancer diagnosis is significant. The work focuses on building novel models and algorithms to accurately detect and categorize tumorous lesions using computer tomography (CT) scans and histopathology slides. These systems use image processing, deep learning (DL), and convolutional neural networks (CNN) to assist medical professionals diagnose cancer sooner and improve patient outcomes. Biomedical image classification using seagull optimization with deep learning (BIC-SGODL) addresses colon and lung cancer diagnosis. The BIC-SGODL method improves cancer diagnosis using hyperparameter optimized DL model. BIC-SGODL utilizes DenseNet to learn complicated features. The convolutional long short-term memory (CLSTM) standard captures spatiotemporal information in sequential picture data. Finally, the SGO method adjusts hyperparameters to improve model performance and generalization. BIC-SGODL performs well with biomedical image dataset simulations. Thus, medical picture cancer diagnosis may be automated using BIC-SGODL

A fisher-friendly mobile application for Nagapattinam

The fishing communities of Nagapattinam, in Tamil Nadu, India, are now using a mobile app which is helping them solve issues related to seafaring safety, low incomes and timeliness in reaching fish shoals. The Fisher Friend Mobile Application has been introduced to the community using a participatory approach, helping ensure the usefulness and accuracy of the technology