SYNTHESIS OF NOVEL METHOXY SUBSTITUTED BENZOTHIAZOLE DERIVATIVES AND ANTIBACTERIAL ACTIVITY AGAINST ESCHERICHIA COLI

Objectives: Escherichia coli is a Gram-negative rod (bacillus) in the family Enterobacteriaceae. In general, it is harmless, but some special species could cause harmful infection. In the recent era, the number of antibiotics is available to combat infection caused by E. coli but because of resistance developed against available antibiotics research is continuously going on to synthesize newer antibiotic to overcome this problem. Synthesis and screening of benzothiazole derivatives have great importance in heterocyclic chemistry because of its potent and significant biological activities against E. coli especially methoxy substitution at benzothiazole.Methods: Methoxy substituted benzothiazole derivatives were synthesized by reaction of 3- chloro-4-methoxy-aniline with potassium thiocyanate under temperature control and presence of bromine in glacial acetic acid and ammonia. Substituted nitrobenzamides then synthesized by condensation of 2-amino-4-chloro-5-methoxy-benzothiazole with 2 (3 or 4)-nitrobenzoyl chloride acid in the presence of dry pyridine and acetone. Finally, newly synthesized derivatives (K-01 to K-09) were synthesized through replacing of chlorine of nitrobenzamide by reaction with 2-nitroaniline, 3-nitroaniline, and 4-nitroaniline in the presence of dimethoxy formamide. Analytical characterization was performed by thin-layer chromatography, melting point, infrared, and nuclear magnetic resonance. Antibacterial activity was performed against E. coli by cup plate method (diffusion technique) using streptomycin as standard. Compound K-03 showed potent antibacterial activity against E. coli at both concentrations 50 μg/mL and 100 μg/mL as compared to standard.Results: Compound D-03 exhibited excellent activity among all synthesized compounds.Conclusion: In the present work, efforts have been made to synthesized methoxy substituted benzothiazole derivatives and screened for antibacterial activity. Compound K-03 found as most active against E. coli

ANTI MICRO-BIOLOGICAL ANALYSIS OF ARJUNARISTA

Arjunarista, an imperative Ayurvedic formulation used for treatment of cardiovascular disorders and prepared by fermenting the decoction of specified plant materials i.e. Arjuna twak (Terminalia arjuna), Draksha phala (Vitis vinifera), Madhuk puspa (Madhuka indica), Dhataki puspa (Woodfordia fruticosa) and Jaggery (Saccharum officinarum). Aim: To assess anti-microbial analysis of Arjunarista. Setting and Design: Arjunarista was prepared as per process of Shandhan kalpana mentioned in manuscripts of Ayurveda with consideration of two variations. These variations were at the level of pot like earthen pot and porcelain pot and addition/deletion of flowers of Dhataki (Woodfordia fruticosa (L.) Kurz). Methods and Materials: Micro-biological analysis was done for total bacterial count, total fungal count and specific pathogens. Total bacterial count, total fungal count was done via plate count agar method and potato dextrose agar respectively. Test for specific pathogens like E. coli, Salmonella sp., Staphylococcus aureus & Pseudomonas aeruginosa was done by Violet red bile agar, Salmonella Agar and Mueller Hinton Agar (for last two bacteria). Results: Total bacterial count (TBC) was absent in all batches except one sample of batch II and batch IV respectively. Total fungal count (TFC) was not present in all batches except one sample of batch I. Specific pathogens count were not present at all in any batches. Conclusion: Arjunarista showed anti micro-biological activity irrespective of variations taken in study

Developing public health capacities of Frontline Public Health Workforce in Uttarakhand

Recent COVID-19 pandemic has highlighted the importance of increase in the ability of public health workforce to detect and respond to the public health threats. For timely implementation of an adequate response and mitigation measure, the standardized and sustainable capacity building programme for frontline public health workforce is the need of hour. National Center for Disease Control (NCDC), Ministry of Health and Family Welfare, in partnership with U.S. Centers for Disease Control and Prevention (CDC), developed a three-month in-service Basic Epidemiology Training programme. This is a tailor-made programme for frontline public health workforce to strengthen epidemiological skills. This training was a practical interactive approach to field epidemiology for three months on the job training for frontline public health workforce that addressed the critical skills needed to conduct surveillance effectively at the local level while focusing on improving disease detection, reporting and feedback. The training also demonstrated the role of learning model in form of interaction between the mentor and the mentees. The importance of handhold support given by the mentors to the mentees in quality outbreak investigations and documentation

Assessment of Indoor & Outdoor Black Carbon Emissions Rural Areas of Indo-Gangetic Plain: Seasonal Characteristics, Source Apportionment and Radiative Forcing

Black Carbon (BC) has been widely recognized as the second largest source of territorial and global climate change as well as a threat to human health. There has been serious concern of BC emission and its impact in Indo-Gangetic Plains (IGP) due to the use of biomass and fossil fuels for cooking, transportation and industrial activities. An attempt has been made to study indoor (Liquefied Petroleum Gas- LPG & Traditional cookstoves users households) and outdoor concentrations; seasonal characteristics; radiative forcing and source of apportionment of BC in three districts (Sitapur, Patna and Murshidabad) of IGP during January to December 2016. The seasonal concentrations of BC in LPG (traditional cookstoves) users households were 3.79 ± 0.77 μgm−3 (25.36 ± 5.01 μgm−3) during the winter; 2.62 ± 0.60 μgm−3(16.36 ± 3.68 μgm−3) during the pre-monsoon; 2.02 ± 0.355 μgm−3(8.92 ± 1.98 μgm−3) during the monsoon and 2.19 ± 0.47 μgm−3(15.17 ± 3.31 μgm−3) during the post-monsoon seasons. However, the outdoor BC concentrations were 24.20 ± 4.46, 19.80 ± 4.34, 8.87 ± 1.83, and 9.14 ± 1.84 μgm−3 during winter, pre-monsoon, monsoon and post-monsoon seasons respectively. The negative radiative forcing (RF) at the surface suggests a cooling effect while a warming effect appears to be occurring at the top of the atmosphere. The atmospheric forcing of BC and aerosols also show a net warming effect in the selected study areas. The analysis of BC concentrations and fire episodes indicated that the emissions from biomass burning increases the pollution concentration. The backward trajectory analysis through the HYSPLIT model also suggests an additional source of pollutants during winter and pre-monsoon seasons from the northwest and northern region in the IGP

Protecting Scattered Database by Enforcing Data Preservation Using Data Protection Facilitator

In this paper we are incorporating data preservation in scattered database structure i.e. method of preserving data in scattered database structure and having secure access over it. In this paper data preservation is examined and solution is provided on the aforesaid condition. This paper is a summarized concept of documentation, authorization, access control and encryption that are main points to be taken in consideration in data preservation in scattered database structure. We propose a new method for secure access based on service provider comprising security application. This model set out for safe search on server and user relation. In this paper we used heuristic approach for preservation for scattered database system regarding security, as the importance of secure access is increasing in scattered domains on different issues, in this way we enhanced the database security in Scattered database environment

Improved Density Based Spatial Clustering of Applications of Noise Clustering Algorithm for Knowledge Discovery in Spatial Data

There are many techniques available in the field of data mining and its subfield spatial data mining is to understand relationships between data objects. Data objects related with spatial features are called spatial databases. These relationships can be used for prediction and trend detection between spatial and nonspatial objects for social and scientific reasons. A huge data set may be collected from different sources as satellite images, X-rays, medical images, traffic cameras, and GIS system. To handle this large amount of data and set relationship between them in a certain manner with certain results is our primary purpose of this paper. This paper gives a complete process to understand how spatial data is different from other kinds of data sets and how it is refined to apply to get useful results and set trends to predict geographic information system and spatial data mining process. In this paper a new improved algorithm for clustering is designed because role of clustering is very indispensable in spatial data mining process. Clustering methods are useful in various fields of human life such as GIS (Geographic Information System), GPS (Global Positioning System), weather forecasting, air traffic controller, water treatment, area selection, cost estimation, planning of rural and urban areas, remote sensing, and VLSI designing. This paper presents study of various clustering methods and algorithms and an improved algorithm of DBSCAN as IDBSCAN (Improved Density Based Spatial Clustering of Application of Noise). The algorithm is designed by addition of some important attributes which are responsible for generation of better clusters from existing data sets in comparison of other methods

Assessment of the efficiency of various gene promoters via biolistics in leaf and regenerating seed callus of millets, Eleusine coracana and Echinochloa crusgalli

A simple regeneration protocol has been developed for two millets, Eleusine coracana and Echinochloa crusgalli. The plantlet regeneration in both the millets is via somatic embryogenesis as evidenced by histological studies. In the case of E. coracana, up to 340 plants could be regenerated per 100 seed calli while up to 2266 plants could be regenerated per 100 seed calli of E. crusgalli. Subsequently, the regenerating seed callus as well as leaf segments from these two millets have been used as explants for assessing the suitability of five gene promoter constructs for transformation via biolistic means. Transient GUS histochemical as well as spectrofluorometric assays reveal the high efficiency of Ubiquitin I gene promoter from maize in terms of bringing about maximum GUS activity in both the millets. The activity of Ubiquitin I promoter from maize was highest in leaf lamina followed by leaf sheath and seed callus. Other four promoters were found to be much less efficient for both millets

Development and characterization of large-scale simple sequence repeats in jute

Jute is an important crop of the Indian subcontinent and comprises tossa jute (Corchorus olitorius) and white jute (C. capsularis). The yield and fiber quality of this crop remained stagnant for many years and could not be improved through conventional plant breeding. Also, no effort has been made to develop molecular markers on a scale required for marker-assisted selection (MAS) to supplement conventional plant breeding. As a first step toward deploying MAS for jute improvement, 2469 simple sequence repeats (SSRs) were developed in tossa jute (JRO 524) using four SSR-enriched genomic libraries. A random subset of 100 SSRs (25 SSRs from each library) was used to detect polymorphism between the parental genotypes of each of the two recombinant inbred line (RIL) mapping populations. The RILs are being developed from JRO 524 × PPO4 (for fiber fineness) and JRC 321 × CMU 010 (for lignin content) crosses to prepare molecular maps and conduct quantitative trait loci (QTL) analyses. Both SSR length polymorphism and ± polymorphism (null alleles, i.e., presence and absence of specific SSR) were detected; 50 SSRs detected polymorphism between the two genotypes of tossa jute, whereas 45 SSRs detected polymorphism between the two genotypes of white jute. This SSR allelic polymorphism in jute is higher than that reported in other crops and is adequate for construction of genetic maps for QTL analysis. The large-scale SSRs will also prove useful in studying genetic diversity, population structure, and association mapping