862 research outputs found

    DETECTION OF SPATIOTEMPORAL CHANGES IN PALAR - PORUNDALAR DAM, DINDIGUL DISTRICT, TAMIL NADU, INDIA USING GEOMATICS TECHNOLOGIES

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    Water is an essential natural resource which indicates the economic growth of a region along with its various sustainable development plans. However, the rapid development on demographic, economic, and technological trends results in demolishing the favorable environment condition for water availability and results it scarcity. Though, the global warming condition and the anthropogenic activities affects the climatic conditions, the natural water resources and its sustainability need to maintain for future generations. The impacts of global warming, climate change and manmade activities affects water resource availability and its quality. It is mandatory to monitor the water resources in order to manage the resource. So, it is important to detect the surface water bodies and to analyze the Spatio-temporal changes of water bodies. It helps to provide sustainable development plans in water resource management. In the recent researches, remote sensing is one of the cost effective technology which used to detect and analyze the changes of spatial features and also to monitor the natural resources present on the earth surface. The study area chosen for the analysis is the Palar- Porundalar Dam which is the largest water body present in Palani Taluk, Dindigul District, Tamil Nadu, India. The present study, strives to detect the water spread of the Palar-Porundalar Dam for the years 1997, 2009 and 2021 using multi temporal satellite images with the help of Normalized Difference Water Index (NDWI) and to identify the changes over the above said periods. The result indicates that for the year 1997 the surface water spread detected upto 4.84 sqkm, for the year 2009 the surface water spread detected upto 4.81 sqkm and in the year 2021 the surface water spread detected upto 4.88 sqkm. Finally, the validation of the result carried out using accuracy assessment method manually by using kappa coefficient formula. The validation result indicates that there is 85.08% of the match detected among the classified and the reference data. The overall accuracy is 92.59%

    An Efficient Emergency, Healthcare, and Medical Information System

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    Many of the current Indian medical information and emergency systems are still paper-based and stand alone systems that do not fully utilize the Internet, multimedia, wireless and real time technologies. This project work focuses on developing an integrated Emergency, Healthcare, and Medical Information System (IEHMS) that can overcome many of the problems in the current systems. The main aim of this work is to incorporate the real-time technologies with medical emergency systems. Our proposed system can offer: SMS, MMS, Phone call, Email. A prototype for the proposed system is implemented using open source tools. The system will revolutionize the delivery of emergency medical services, like ambulance, first aid etc, The call center of Emergency Management and Research Institute took up the case and identified the exact location where the patient had collapsed. When attending a call, the user check for the similar calls and search for the ambulance which is located to that area and ambulance is staffed by: F0D8; One driver F0D8; One helper F0D8; One experienced paramedic F0D8; One trained medical officer, if required For efficient medical monitoring of the patient2019;s condition, the institute has qualified personnel with knowledge and skills sufficient to evaluate and stabilize patients with potentially lethal or disabling conditions

    Vision-Based Deep Web Data Extraction For Web Document Clustering

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    The design of web information extraction systems becomes more complex and time-consuming. Detection of data region is a significant problem for information extraction from the web page. In this paper, an approach to vision-based deep web data extraction is proposed for web document clustering. The proposed approach comprises of two phases: 1) Vision-based web data extraction, and 2) web document clustering. In phase 1, the web page information is segmented into various chunks. From which, surplus noise and duplicate chunks are removed using three parameters, such as hyperlink percentage, noise score and cosine similarity. Finally, the extracted keywords are subjected to web document clustering using Fuzzy c-means clustering (FCM)

    Comparison of Foley’s catheter with PGE2 gel and Foley’s catheter with PGE2 gel with extra amniotic saline infusion for labour induction

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    Background: Induction of labour is initiation of uterine contractions before the onset in order to vaginally deliver the foetoplacental unit. Common reasons for induction of labour are post-term and hypertensive disorders of pregnancy. The purpose of this study was to compare the efficacy of Foley catheter with intra cervical PGE2 gel and Foley catheter with PGE2 gel with extra amniotic saline infusion for induction of labour.Methods: The clinical trial was conducted from November 2016 to April 2017 at Karnataka Institute of Medical Sciences, Hubballi. 80 pregnant women which included both primigravidae and multigravidae were alternatively divided into two groups. Group 1 received Foley’s and PGE2 gel and group 2 received Foley’s, PGE2 gel and extra amniotic saline infusion for induction of labour.Results: Both groups were comparable with respect to maternal age, gestational age and indication for induction. There was no significant difference in the mean pre-induction Bishop score between two groups. In both the groups there was significant improvement in the Bishop score after 6 hours of induction. But progress in group 2 was greater than group 1(P <0.05). The mean time from induction to delivery in group 2 was shorter and was statistically significant(P<0.05). There was no difference in mode of delivery, neonatal and maternal morbidity and mortality between 2 groups.Conclusions: The present study showed that Foley’s with PGE2 gel with extra amniotic saline infusion is better for labour induction though both groups appear to be effective agents

    Effect of Different grades of River sand Cement and Copper Slag Cement Matrices on Flexural Behaviourof Ferrocement Slabs

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    Ferrocement is a versatile construction material having light weight, closely spaced small diameter reinforcement covered with cement mortar. Lot of works have been carried out onferrocement by using  river sand as fine aggregate in India and other countries. Research also has been carried out on ferrocement with other than cement mortar. Matrices like polymer impregnated cement mortar, resin mortar, latex modified cement mortar and fibre reinforced mortar matrix and studied their structural responses at CSIR-Structural Engineering Research Centre, Chennai and Nihon University, Japan. Research works on ferrocement is under progress by using copper slag as fine aggregate in cement mortar at Easwari Engineering College, Ramapuram, Chennai. Totally six mortar mixtures, three with river sand and three with copper slag as fine aggregate and three different strength in each were used as matrix in preparation of ferrocement slabs. Reinforcement content was same in all specimens. Mechanical properties, Viz., compressive strength, split tensile strength and flexural strength were evaluated for all the mixtures.To evaluate the effect of different mortar proportions and different types of fine aggregates on flexural behaviour of ferrocement slabs having same size and reinforcement content. The types of fine aggregate used are normal river sand and the same gradation of copper slag. Different mortar mixtures used are 1:1, 1:2 and 1:3 (Cement: Fine Aggregate) and equal volume to river sand of copper slag was used in another three mixtures. Totally 6 mortar mixtures were used and studied their mechanical properties, viz., compressive strength, split tensile strength and flexural strength

    Control of Indirect Matrix Converter by Using Improved SVM Method

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    A novel space vector modulation (SVM) method for an indirect matrix converter (IMC) is used to reduce the common -mode voltage (CMV) in the output. The process of selecting required active vectors and to describe the switching sequence in the inverter stage of the IMC is explained in this paper. This novel SVM method used to decrease the peak -to-peak amplitude voltage of CMV without using any external hardware. The other advantage of this SVM method is to reduce the total harmonic distortion of line-to-line output voltage. This new modulation technique is easily implemented through simulation and its results are used to demonstrate the improved performance of the input/output waveforms

    Isolation, screening, and characterization of plant growth enhancing endophytic bacteria from halophytic Heliotropium curassavicum L. collected from salt stress areas of Srikakulam, Andhra Pradesh

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    Farmers use excessive chemical fertilizers to boost crop productivity to meet growing agricultural demands. However, this practice is costly and environmentally hazardous. Sustainable increase in crop yield can be achieved through alternatives like microbial-based fertilizers. In the quest to identify plant growth-promoting endophytic bacteria, the present study was carried out and selected unexplored halophytic plant Heliotropium curassavicum L. Thirteen endophytic bacterial strains were isolated from both aerial and root portions of H.curassavicum. These isolates were tested for salt tolerance, enzyme production, and synthesis of growth-promoting secondary metabolites, like Indole-3-acetic acid (IAA) and phosphate solubilization . Most of the isolates belonged to the Bacillus family, exhibiting varying Gram staining and biochemical reactions. The majority are Gram-positive bacteria, non-motile, spore formers, and exist in two cells or chains. All isolates could tolerate up to 10% NaCl concentration and a temperature of 42°C. Based on phenotypic, bio-chemical characteristics, isolate HCR3 showed promising properties in synthesizing IAA and phosphate solubilization abilities. The isolate HCR3 grew well upto 10% NaCl concentration and also 42°C temperature. Based on molecular characterization by using 16S rRNA gene-based analysis HCR3 isolate was identified and belonged to the Genus Pseudomonas with the highest similarity index with Pseudomonas khazarica sp. HCR3 showed IAA production of 37µg ml-1, had a phosphate solubilization ability of 3.5 ppm, and recorded protease activity on gelatin medium. The findings highlight the potential of HCR3 and other strains from halophytic H. curassavicum L. to enhance plant growth through secondary bioactive metabolites, offering eco-friendly solutions for sustainable agriculture

    Screening of salt tolerant endophytic bacteria with plant growth promoting characters isolated from Acanthus ilicifolius L., a species of mangrove ecosystem located at Corangi wildlife sanctuary, Andhra Pradesh

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    Mangroves harbour many beneficial microorganisms in their rhizosphere, phyllosphere and endophytically, which forms an ideal ecological habitation for isolating halotolerant endophytic bacteria with unique characteristics. Endophytes can produce numerous bioactive secondary metabolites and phytohormones, which may be directly or in some way beneficial to the host plant.   The present study aimed to identify novel endophytes capable of producing plant growth-promoting substances. The mangrove plants Acanthus ilicifolius L. at Corangi Wildlife Sanctuary were selected, and their leaves and roots were collected for endophyte isolation. Eight isolates from the leaves and roots were collected, purified and preserved. All these isolates were subjected to morphological, phenotypical and biochemical studies. Isolates were grown best at 3% NaCl nutrient agar and could tolerate salinity upto 8%NaCl. Most of them could grow upto 42°C. The majority were gram’s positive, motile, aerobic, rod-shaped and some were gram’s negative, rod-shaped organisms. Many of the endophytic organisms had the ability to synthesize Indole-3-acetic acid(IAA) varied from 0.7 µg/ml (AIL1) to 51.0 µg/ml (AIL2) and the highest phosphate solubilizing ability was recorded with AIR3 (3.71 ppm) followed by AIR4 (3.00 ppm) and lowest was recorded by AIL4 (1.80 ppm). Among total isolates, AIL2 (51µg/ml) showed promising potential in producing IAA and had phosphate solubilization ability. Based on 16S ribosomal RNA molecular method the isolate AIL2 was identified as Bacillus altitudinis. This is the first to report that B.altitudinis strain AIL2 isolated from A.ilicifolius L. could produce IAA, which can be used as a bioinoculant in agriculture and allied sector

    Autoimmune diseases in pregnancy: maternal and fetal outcomes

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    Background: The aim of this study was to assess the impact of autoimmune connective tissue disorders on the outcomes of pregnancy and the influence of treatment on pregnancy.  Methods: Thirty-seven antenatal patients with autoimmune connective tissue diseases, comprising of Systemic Lupus Erythematosus (SLE), primary antiphospholipid antibody syndrome (APS), Mixed Connective Tissue Diseases (MCTD), ankylosing spondylitis and Takayasu arteritis were analysed.Results: Multigravidas constituted 89.4% and were associated with bad obstetric history. Before diagnosis and treatment, serious maternal complications of eclampsia and thromboembolism were observed in patients with SLE and APS. The live birth rates were 9% and 2.4% respectively in patients with SLE and APS. With appropriate treatment- aspirin, heparin and immunosuppressant, the live birth rates were raised to 70% in SLE and 100% in APS patients. Investigation for autoimmune disease in recurrent pregnancy loss is important. A rare association between MCTD and congenital anomaly - Rhizomelic chondrodysplasia punctata was observed. Preeclampsia, gestational diabetes, fetal growth restriction and preterm labour were the common complications noted.  Conclusions: Active disease at onset of pregnancy, presence of Anti-ds DNA antibodies and secondary APS were strong predictors of poor pregnancy outcomes among patients with SLE. Vigilant monitoring during pregnancy is required for favourable outcomes

    Identification and Characterization of Edible Cricket Peptides on Hypertensive and Glycemic In Vitro Inhibition and Their Anti-Inflammatory Activity on RAW 264.7 Macrophage Cells

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    Recent studies continue to demonstrate the potential of edible insects as a protein base to obtain bioactive peptides applicable for functional food development. This study aimed at identifying antihypertensive, anti-glycemic, and anti-inflammatory peptides derived from the in vitro gastrointestinal digests of cricket protein hydrolysates. After sequential fractionation, the protein digest subfraction containing the lowest molecular weight (\u3c0.5 kDa), hydrophobic (C18) and cationic peptides (IEX) was found responsible for the most bioactivity. The cationic peptide fraction significantly reduced (p \u3c 0.05) α-amylase, α-glucosidase, and angiotensin converting enzyme (ACE) activity in vitro, and also inhibited the expression of NF-κB in RAW 264.7 macrophage cells. A total of 28 peptides were identified with mass spectrometry (LC–MS/MS) and de novo sequencing from the potent fraction. Three novel peptides YKPRP, PHGAP, and VGPPQ were chosen for the molecular docking studies. PHGAP and VGPPQ exhibited a higher degree of non-covalent interactions with the enzyme active site residues and binding energies comparable to captopril. Results from this study demonstrate the bioactive potential of edible cricket peptides, especially as ACE inhibitors
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