Identification of Gut Microflora from Green Mussel (Perna viridis)

The main source of Bacterial contamination of Estuary waters are domestic waste water and sewage discharge. In this present investigation, Green Mussels were collected from three different stations of Chennai Coast - Ennore, Royapuram and Muttukadu. The mussels were degutted and bacteria were isolated using selective and non-selective agar medium and further confirmed by biochemical tests. The organisms were ident illed to generic or group level according to Bergey's manual of systematic Bacteriology. Different group of fecal coli forms and Vibrio spp. have been isolated. Escherichia coli, Vibrio alginolyticus, V. parahaemolyticus and V. harveyi were the dominant species. Vibrio parahaemolyticus, a facultative pathogen widely complicated in outbreaks of gastroenteritis related to the consumption of improperly processed seafood was present in the gut of Green Mussels

Seasonal Variations and Identification of Pathogenic Pollution Indicators from Royapuram Backwaters

Sewage and industrial effluents from Ennore, Chennai harbour and surrounding area have a greater impact on the Royapuram back water affecting the aquatic animals and in tum the human population. These waste carry enormous number of microbial pathogens and other heavy metals resulting in greater economic loss. The current study is aimed at analysing the total viable count of bacteria and pathogenic bacterial species in the water and sediment samples taken from different places of Royapuram fishing area, from where many kind of fishes and molluscans are taken for human consumption .The samples werc collected in pre monsoon, monsoon and post monsoon seasons. Water analysis was done by multiple tube tests to assess the MPN values. The bacteria were isolated using Zobell's agar medium, selective and non selective medias and identified using biochemical test. The organisms were identified to genus, level according to Bergey's manual. Results of field Investigations showed a definite association between the levels pollution and microbial population. Results showed a higher distribution of pathogenic and non pathogenic bacteria in the sediment than in the water sample both in monsoon and post monsoon seasons. Analysis showed the prevalence of human pathogens and fecal indicator organisms like Escherichia coli, Salmonella sp.,Vibrio sp., Shigella sp. in water and in the sediment samples

SYNTHESIS AND STRUCTURAL ANALYSIS OF COBALT OXIDE NANOPARTICLES

Cobalt (II, III) oxide is an inorganic compound with the formula Co3O4. It is a blackantiferromagnetic solid. As a mixed valence compound, its formula is sometimes written asCoIICo2 III O4 and sometimes as CoO.Co2O3. The XRD result confirmed the formation of simplecubic crystal structure of the Co3O4. The average crystallite size of the samples are found toincrease with increase in annealing temperature. The optical energy band gap values estimatedby UV-visible analysisreported that the energy band gap values are increased with increase incalcination temperature. So that Co3O4 nanoparticles are used as p-type semiconductor. ThePhotoluminescence sharp peaks shows a near and edge emission located at UV region and greenemissions

Synthesis, Growth and characterization of semi-organic zinc (tris) thiourea chloride crystal

Zinc (Tris) Thiourea chloride (ZTTC) a semi organic nonlinear optical material has been grown by slow evaporation process from its aqueous solution. The grown crystals were subjected to characterize by Single crystal X-ray diffraction, Powder X-ray diffraction, Fourier transform infrared spectroscopy, optical transmission spectrum and Dielectric studies. Single crystal X-ray diffraction studies confirm the orthorhombic structure. The FTIR spectrum analysis has confirmed the functional groups in the ZTTC. Its optical behavior was examined by UV-Vis and found that the crystal is transparent in the region between 841-2000 nm. Dielectric study shows that the dielectric constant decreases with increase in frequency

Influence of textile effluent on the Reaction, Structure and Properties of

The transformation of industrial wastes into useful products attracts more researches to work upon for sustainable of natural resources. In this paper, industrial wastes such as treated textile effluent and fly ash were used in the preparation of plain cement concrete with the intention of reducing the environmental pollution caused by these materials. The partially treated textile effluent was used as mixing water and fly ash was used as 30% partial replacement by weight of cement in concrete. The textile effluents were collected after anaerobic treatment and tertiary treatment from textile industry. Class F Fly ash was collected from Mettur thermal power plant. The physical and chemical properties of treated textile effluent were studied. The control concrete was prepared with potable water available in the laboratory. Experimental test was performed for compressive strength of concrete at 28 days. The powdered concrete samples were examined through infrared spectroscopy, X-ray diffraction and scanning electron microscopy to study the microstructure of concrete. The compressive strength test results revealed that anaerobic effluent water (AAE) concrete accomplished higher compressive strength than control concrete. This was also in affirmation with microscopic analysis in which the formations of hydration products were well established when compared to control concrete

2,4-dihydroxy benzaldehyde derived Schiff bases as small molecule Hsp90 inhibitors: rational identification of a new anticancer lead

Hsp90 is a molecular chaperone that heals diverse array of biomolecules ranging from multiple oncogenic proteins to the ones responsible for development of resistance to chemotherapeutic agents. Moreover they are over-expressed in cancer cells as a complex with co-chaperones and under-expressed in normal cells as a single free entity. Hence inhibitors of Hsp90 will be more effective and selective in destroying cancer cells with minimum chances of acquiring resistance to them. In continuation of our goal to rationally develop effective small molecule azomethines against Hsp90, we designed few more compounds belonging to the class of 2,4-dihydroxy benzaldehyde derived imines (1-13) with our validated docking protocol. The molecules exhibiting good docking score were synthesized and their structures were confirmed by IR, (1)H NMR and mass spectral analysis. Subsequently, they were evaluated for their potential to suppress Hsp90 ATPase activity by Malachite green assay. The antiproliferative effect of the molecules were examined on PC3 prostate cancer cell lines by adopting 3-(4,5-dimethythiazol-2-yl)-2,5-diphenyl tetrazolium bromide (MTT) assay methodology. Finally, schiff base 13 emerged as the lead molecule for future design and development of Hsp90 inhibitors as anticancer agents.Fil: Dutta Gupta, Sayan. Osmania University; India. Jawaharlal Nehru Technological University; IndiaFil: Revathi, B.. Osmania University; IndiaFil: Mazaira, Gisela Ileana. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Química Biológica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Galigniana, Mario Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología y Medicina Experimental. Fundación de Instituto de Biología y Medicina Experimental. Instituto de Biología y Medicina Experimental; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Química Biológica; ArgentinaFil: Subrahmanyam, C. V. S.. Osmania University; IndiaFil: Gowrishankar, N. L.. Swami Vivekananda Institute of Pharmaceutical Sciences; IndiaFil: Raghavendra, N. M.. Osmania University; Indi

Intelligent Detection of Fake Profiles on Social Media Using Machine Learning

Social networking platforms play a vital role in global communication, but they are increasingly vulnerable to security threats due to the presence of fake profiles. Fraudulent accounts are often created for misinformation, cyber fraud, identity theft, cyberbullying, and unauthorized data harvesting, compromising user privacy and damaging the credibility of social media platforms. While existing security systems, such as Facebook's Immune System (FIS), attempt to detect fake accounts, they struggle against sophisticated fraudulent profiles. Traditional detection methods primarily rely on static user data, making them less effective. To improve accuracy and efficiency, this study proposes an advanced machine learning (ML) and natural language processing (NLP)-based approach for fake account detection. The system analyzes both static and dynamic behavioral patterns to distinguish between real and fake accounts. NLP techniques, including tokenization, stemming, and stop-word removal, are applied to examine user-generated text, identifying inconsistencies and unnatural patterns commonly found in fake profiles. The study utilizes datasets from social media platforms like Instagram for training and evaluation. Performance is measured using metrics such as the confusion matrix, correlation heatmap, and classification reports. Results indicate that ML and NLP techniques significantly enhance fake profile detection accuracy compared to traditional methods. By leveraging AI-driven solutions, the system strengthens social media security, prevents misinformation, and protects users from fraudulent activities. Future work can focus on deep learning techniques, dataset expansion, and real-time detection to further improve accuracy and adaptability in fake profile detection

Direct Power based Sliding Mode Control of AC-DC Converter with Reduced THD

Direct Power based Sliding Mode (DPSMC) control for controlling single phase AC-DC pre regulator assuring unity power factor and stable output voltage under load variation is proposed in this paper. Direct Power Based Control (DPC) commonly applied for three phase circuits, is combined with Sliding mode control (SMC) to control and regulate the single-phase AC-DC pre regulator. The proposed DPSMC apart from being simple to design and robust to parameter variations also helps in reducing the line current distortion inherent to AC-DC Converters. The design of the proposed power based sliding mode control along with its existence condition is discussed. The performance of the proposed method over conventional sliding mode control is assessed through computer simulations and the feasibility of the proposed controller is confirmed through experimental implementation carried out with the help of LabVIEW and sbRIO FPGA development board