Integrated coastal zone management practices for Sundarbans, India

352-356Sundarban is the only tiger inhabited mangrove forest on the globe which is threatened by severe coastal erosion due to relative sea level rise. Effects of climate change events including increased atmospheric temperature, changes in rainfall patterns, drinking water scarcity, reduced agriculture productivity, declining fish catch, increased salinity and extreme weather events such as floods, cyclones and tidal surge, are likely to have profound adverse impacts on the estuarine biodiversity and livelihoods of inhabitants of the region. Tigers in Sundarbans stray into the neighbouring villages during low tide to prey upon cows and goats. Obviously, all these phenomenon leads to a daily survival battle for the inhabitants. To address these issues, Integrated Coastal Zone Management (ICZM) practices are essential and is being implemented in Sagar Island and Gosaba Island of Sundarbans through ICZM project, funded by the World Bank. The alternative livelihood programme for coastal fishermen community of the Sundarbans Islands, income generation activities, encouraging salt tolerant paddy cultivation, establishment of rainwater harvesting system, construction of multipurpose cyclone shelters, and strengthening of the nylon fencing in Tiger Reserve Forest etc. are recommended for the sustainable development of the Sundarbans. An area specific approach or regional plan for Sundarbans is essential, as they have specific problems such as Tiger straying, seawater intrusion, erosion of embankments etc

Diffusion-based method for producing density equalizing maps

Map makers have long searched for a way to construct cartograms -- maps in which the sizes of geographic regions such as countries or provinces appear in proportion to their population or some other analogous property. Such maps are invaluable for the representation of census results, election returns, disease incidence, and many other kinds of human data. Unfortunately, in order to scale regions and still have them fit together, one is normally forced to distort the regions' shapes, potentially resulting in maps that are difficult to read. Many methods for making cartograms have been proposed, some of them extremely complex, but all suffer either from this lack of readability or from other pathologies, like overlapping regions or strong dependence on the choice of coordinate axes. Here we present a new technique based on ideas borrowed from elementary physics that suffers none of these drawbacks. Our method is conceptually simple and produces useful, elegant, and easily readable maps. We illustrate the method with applications to the results of the 2000 US presidential election, lung cancer cases in the State of New York, and the geographical distribution of stories appearing in the news.Comment: 12 pages, 3 figure

Impact of environment variables on pelagic fish landings: Special emphasis on Indian oil sardine off Tiruchendur coast, Gulf of Mannar

Results of the present study reported the correlation of various environmental variables such as dissolved oxygen (DO), chlorophyll ‘a’, primary productivity (PP), salinity, sea surface temperature (SST) and meteorological parameters such as air temperature (AT), air pressure (AP), relative humidity (RH), wind pattern, sunshine hours (SSH) and rainfall (RF) during January, 2008 to December, 2010 with that of the sardine fish landing along the Tiruchendur coast in Gulf of Mannar. The landings of the pelagic fishes like sardine, anchovy and Indian mackerel were high during south-west monsoon months extending from July to September in Tiruchendur coast. Sardines, which contribute 18.24% of the total fish catch, were recorded throughout the study period with a minimum occurrence during January and maximum in August. Large sized fishes were caught during October. It was found that, moderate temperature, high chlorophyll ‘a’ concentration and phytoplankton abundance are primary factors that enhance sardine fishery. Weather changes, influences fisheries through the modification of habitat characteristics, affecting the organisms to the extent that the physical, chemical and biological conditions that influence their productivity, development, nourishment and reproduction distribution are altered. Subtle changes in key environmental variables can drastically modify the abundance, distribution, and availability of fish populations

Performance of A1C for the Classification and Prediction of Diabetes

OBJECTIVE Although A1C is now recommended to diagnose diabetes, its test performance for diagnosis and prognosis is uncertain. Our objective was to assess the test performance of A1C against single and repeat glucose measurements for diagnosis of prevalent diabetes and for prediction of incident diabetes. RESEARCH DESIGN AND METHODS We conducted population-based analyses of 12,485 participants in the Atherosclerosis Risk in Communities (ARIC) study and a subpopulation of 691 participants in the Third National Health and Nutrition Examination Survey (NHANES III) with repeat test results. RESULTS Against a single fasting glucose ≥126 mg/dl, the sensitivity and specificity of A1C ≥6.5% for detection of prevalent diabetes were 47 and 98%, respectively (area under the curve 0.892). Against repeated fasting glucose (3 years apart) ≥126 mg/dl, sensitivity improved to 67% and specificity remained high (97%) (AUC 0.936). Similar results were obtained in NHANES III against repeated fasting glucose 2 weeks apart. The accuracy of A1C was consistent across age, BMI, and race groups. For individuals with fasting glucose ≥126 mg/dl and A1C ≥6.5% at baseline, the 10-year risk of diagnosed diabetes was 88% compared with 55% among those individuals with fasting glucose ≥126 mg/dl and A1C 5.7–<6.5%. CONCLUSIONS A1C performs well as a diagnostic tool when diabetes definitions that most closely resemble those used in clinical practice are used as the “gold standard.” The high risk of diabetes among individuals with both elevated fasting glucose and A1C suggests a dual role for fasting glucose and A1C for prediction of diabetes. Although A1C is now recommended for the diagnosis of diabetes (1,2), its precise test performance is uncertain. The lack of a single, clear “gold standard” poses a challenge for determining the performance of A1C. Previous diagnostic studies of A1C have relied exclusively on a single elevated fasting or 2-h glucose values as gold standards (3–5). However, because glucose determinations are inherently more variable than A1C (6), these convenient gold standards are likely to reduce the apparent accuracy of A1C as a diagnostic test. A stronger gold standard would rely on repeated glucose determinations on different days (2), i.e., the recommended approach to diagnosis of diabetes in clinical practice. Alternatively, A1C and fasting glucose can be compared head-to-head against the subsequent development of clinically diagnosed diabetes as the gold standard. We hypothesized that 1) A1C would perform well as a diagnostic and prognostic test for diabetes across its full range and at the American Diabetes Association–recommended threshold of 6.5% and 2) that its performance would be best when judged against stronger, most clinically relevant gold standards

Immunomodulatory potential of marine secondary metabolites against bacterial diseases of shrimp

Shrimp disease management using bioactive marine secondary metabolites (MSMs) was developed as a package of practice for the sustainable shrimp farming. Therefore, the effect of MSMs on the host defense factors of shrimp was evaluated in the present study. Findings indicated that Ulva diet significantly increase the defense factors such as haemogram, agglutination index, phagocytic rate, bacterial clearance and serum bactericidal activity of treated shrimps over the control group. Based on the gut bacterial load, Ulva diet was considered as proactive drug whereas Dendrilla diet was determined as a curative agent

Pathogenicity, antibiogram and biochemical characteristics of Luminescent Vibrio harveyi, associated with 'Black Shell Disease' of Penaeus monodon

Bacterial isolation was made from shrimps Penaeus monodon showing characteristic external symptoms of 'black shell disease' from shrimp farms located in southeast coast of India. The isolates were screened on TeBS agar plates and 0/129 for the selective isolation of Vibrio sp. Based on the morphological, biochemical and physiological characteristics, the isolate (RJM5) was characterized as luminescent Vibrio harveyi." Antibiogram of V. Imrueyi indicated that it was highly sensitive to chloramphenicol. ciprofloxacin, nalidixic acid and streptomycin. The pathogenicity studies confirmed that the isolate (V.harveyi) was moderately virulent

Inhibition of the growth of Bacillus subtilis DSM10 by a newly discovered antibacterial protein from the soil metagenome

A functional metagenomics based approach exploiting the microbiota of suppressive soils from an organic field site has succeeded in the identification of a clone with the ability to inhibit the growth of Bacillus subtilis DSM10. Sequencing of the fosmid identified a putative β-lactamase-like gene abgT. Transposon mutagenesis of the abgT gene resulted in a loss in ability to inhibit the growth of B. subtilis DSM10. Further analysis of the deduced amino acid sequence of AbgT revealed moderate homology to esterases, suggesting that the protein may possess hydrolytic activity. Weak lipolytic activity was detected; however the clone did not appear to produce any β-lactamase activity. Phylogenetic analysis revealed the protein is a member of the family VIII group of lipase/esterases and clusters with a number of proteins of metagenomic origin. The abgT gene was sub-cloned into a protein expression vector and when introduced into the abgT transposon mutant clones restored the ability of the clones to inhibit the growth of B. subtilis DSM10, clearly indicating that the abgT gene is involved in the antibacterial activity. While the precise role of this protein has yet to fully elucidated, it may be involved in the generation of free fatty acid with antibacterial properties. Thus functional metagenomic approaches continue to provide a significant resource for the discovery of novel functional proteins and it is clear that hydrolytic enzymes, such as AbgT, may be a potential source for the development of future antimicrobial therapies

Antagonistic Potentials of Marine Sponge Associated Fungi Aspergillus clavatus MFD15

Abstract: The development of resistance to multiple drugs is a major problem in the treatment of these infectious diseases. Multidrug Resistant Staphylococcus aureus (MRSA) and Candida sp, the major infectious agents have been recently reported in quite a large number of studies. With more intensive studies for natural therapies, marine-derived products have been a promising source for the discovery of novel bioactive compounds. A total of 45 marine fungi were isolated from the two sponges F. cavernosa and D. nigra were screened for antimicrobial activity against pathogenic bacteria and fungi. The novel basal media formulated in the present study resulted in increased frequency of fungal isolates when compared to all other media used in the present study. The cell free supernatant of fungi exhibiting the broad spectrum of activity was subjected to chemical analysis using different chromatographic systems including TLC, Column and GC-MS. Of the 15 fungal strains, 20% (3 strains) showed potential antagonistic activity against a panel of clinical pathogens used in the present study. Based on the antimicrobial activity of the isolates, Aspergillus clavatus MFD15 was recorded as potent producer displaying 100% activity against the tested pathogenic organisms. The TLC of the crude ethyl acetate extract produced 3 spots with Rf values of 0.20, 0.79 and 0.95, respectively. The active TLC fraction was purified in column chromatography which yielded 50 fractions. The active column fractions were combined and analyzed with FT-IR, UV-Vis and GC-MS. The chemical analysis of the active compound envisaged the active compound to be a triazole, 1H-1,2,4 Triazole 3-carboxaldehyde 5-methyl. The triazolic compound was bacteriostic for S. aureus and bactericidal for E. coli. The triazole treated fabric showed 50% reduction in the growth of E. coli, S. aureus, and S. epidermidis. Thus the purified compound can find a place in the database for the development of fabrics with antimicrobial properties. This is the first report that envisaged the production of triazole antimicrobial compound from sponge associated marine fungi from the Indian coast

Scaffolding School Pupils’ Scientific Argumentation with Evidence-Based Dialogue Maps

This chapter reports pilot work investigating the potential of Evidence-based Dialogue Mapping to scaffold young teenagers’ scientific argumentation. Our research objective is to better understand pupils’ usage of dialogue maps created in Compendium to write scientific ex-planations. The participants were 20 pupils, 12-13 years old, in a summer science course for “gifted and talented” children in the UK. Through qualitative analysis of three case studies, we investigate the value of dialogue mapping as a mediating tool in the scientific reasoning process during a set of learning activities. These activities were published in an online learning envi-ronment to foster collaborative learning. Pupils mapped their discussions in pairs, shared maps via the online forum and in plenary discussions, and wrote essays based on their dialogue maps. This study draws on these multiple data sources: pupils’ maps in Compendium, writings in science and reflective comments about the uses of mapping for writing. Our analysis highlights the diversity of ways, both successful and unsuccessful, in which dialogue mapping was used by these young teenagers

Classification of Addiction Behavior based on Regular and Rare Model

593-599Realization is the comprehension of existence in its widest terms. Many of us, both physically and virtually, are unconscious of our level of addictive concern. Predicting virtual and emotional-based activity poses certain difficulties in determining an addiction level. Specifically, how to compute the addictive and what types of controls can help us monitor the addiction and get a good estimate of the individual's addicted stage. The threshold levels vary depending on a variety of factors such as age, gender, society, and so on. The addiction mentality system's prediction plays a vital role. In this regard, our research develops a Regular and Rare (RAR) based classification model for finding effective addiction predictors. This RAR classification and prediction technique is based on an examination of addiction patterns' consistency. This strategy focuses on the length of time spent doing the same activity rather than the amount of quantity consumed. The concept behind it if an individual consumes a low density of nicotine but persists for a decade, this is considered as a habitual and addictive activity. In such a way that if an individual doesn't really engage in the very same type of activity for an extended period of time, the action may be considered an uncommon occurrences rather than an addictive class