76 research outputs found

    Prevalence of Intestinal Parasitic Infection Among the 1-15 Years Age Group Children and Its Association with Iron Deficiency Anemia

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    Background and Objective Intestinal parasitic infection and iron deficiency anaemia are still, a significant public health concern   mostly in developing countries. The present study aimed to study the relationships between intestinal parasitic infections and iron deficiency anaemia among the 1-15 years age group of children. There are many helminths, transmitted through the soil like Ascaris lumbricoides (roundworm), Trichiuris trichiura (whipworm), Ancylostoma duodenale, and Necator americanicus (hookworms). These infections are most prevalent among the children Methods: In this study the stool samples were collected fro[i]m above age group children for parasitic infection and Hb, PBF examination was also conducted to rule out the anemia at verto medical lab. There may be chances of IDA because of the nutrition deficiency but if the occult blood positive and parasites in stool, suggestive of anemia due to the blood loss. Results: The sample was collected and processed out of that 19% samples were positive for intestinal parasites. Particularly the Entamoeba coli was 6%, E. histolytica was 2%, Ascaris and Giardia was 7%. Giardia percentage was high and fecal occult blood was positive of all sample containing parasites except Entamoeba coli, the FOB was negative. The patient with intestinal infection usually having low hemoglobin value and peripheral examination populated with predominately microcytic hypochromic picture. Conclusion: The reveals the relationship between the role of intestinal parasites in loss of iron that gives the impact on hemoglobin synthesis revealed in blood film examination. finding proof of IDA. The study also helpful in early diagnosis of IDA through few parameters mentioned in study.   &nbsp

    Gestational diabetes mellitus: study of prevalence using criteria of diabetes in pregnancy study group in India and its impact on maternal and fetal outcome in a rural tertiary institute

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    Background: Gestational diabetes mellitus ((GDM) is defined as carbohydrate intolerance of varying degree of severity with onset or first recognition during pregnancy. GDM is associated with adverse fetomaternal outcome. Its early detection and management is essential for better perinatal outcome. The objective of the study was to assess the prevalence of gestational diabetes mellitus among pregnant women of western U.P. using diabetes in pregnancy study group in India (DIPSI) criteria and further assess its impact on fetomaternal outcome.Methods: This was a prospective study conducted at UP RIMS & R, Saifai, Uttar Pradesh, India including 225 pregnant women between 24-28 weeks gestational age who attended the antenatal OPD from January 2014 to January 2015.All women were given 75 gm oral glucose irrespective of their meals. Women with blood sugar values >140mg/dl were labeled as GDM and rest as control or non GDM group. All the GDM patients were followed up either with diet or insulin therapy till delivery to study fetomaternal outcome.Results: Out of 225 Women 22 women (9.7%) were diagnosed as having GDM and among risk factors, higher BMI was shown to be significant association (p<0.05). There was also significant difference among birth weight and neonatal complications in GDM and NON-GDM group (P<0.05).Conclusions: Due to high prevalence of GDM in India in our study we concluded that screening is very essential for all pregnant women even in low-risk group. As in our study which was done by single step method of DIPSI which was easy to performed, feasible for remote population. But more studies are needed to further conclude that DIPSI is sufficient for Indian population

    Genetics of growth and yield attributing traits of brinjal (Solanum melongena L.) through six generation mean analysis

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    Understanding gene action of different traits is of utmost importance for formulating successful breeding programs. The population was developed involving Arka Neelachal Shyama and CARI-1 to inquire the gene actions controlling the inheritance of several growth as well as yield attributingparameters through six-generation mean analysis. Three parameter model revealed the insufficiency of the simpler additive dominance model for the evaluated traits, referring to the existence of inter-allelic interactions. Six parameter model was implemented to better understand gene actions. Most of the yield and attributing traits under study except number of branches showed a high estimate of dominance as well as environmental variance, disclosing a lower extent of heritability. The number of branches was observed to be controlled by duplicate epistasis. Hence, for the fixation of this trait, the best strategy is to exercise minimal selection during advance generations, followed by intense selection during later generations (F4- population onwards). The preponderance of the narrow sense type of heritability revealed that dominant effects were predominantly accountable for the existing genetic variation. Hence, recurrent selection followed by bi-parental mating and selection during the later stage of generations is advised to increase the occurrence of favorable alleles and accumulation of desirable genes

    EEG Signal Denoising Using Haar Transform and Maximal Overlap Discrete Wavelet Transform (MODWT) for the Finding of Epilepsy

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    Wavelet transform filters the signal without changing the pattern of the signal. The transformation techniques have been applied to the continuous time domain signals. The chapter is devoted to the study of the EEG (ElectroEncephaloGram) Signal processing using Haar wavelet transform and Maximal overlap discrete wavelet transform (MODWT) for the analyzing of Epilepsy. Haar transform returns the approximation coefficients and detail coefficients. Detail coefficients are generally referred to as the wavelet coefficients and are a highpass representation of the input. In this chapter, with the help of Haar transform, the detailed coefficients of the input signal have been analyzed for the detection of Epilepsy. Maximal overlap discrete wavelet transform filters the noise coefficients of the input signal in each and every level, and it has displayed the filtered output signal

    Spatiotemporal persistence of multiple, diverse clades and toxins of Corynebacterium diphtheriae.

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    Diphtheria is a respiratory disease caused by the bacterium Corynebacterium diphtheriae. Although the development of a toxin-based vaccine in the 1930s has allowed a high level of control over the disease, cases have increased in recent years. Here, we describe the genomic variation of 502 C. diphtheriae isolates across 16 countries and territories over 122 years. We generate a core gene phylogeny and determine the presence of antimicrobial resistance genes and variation within the tox gene of 291 tox+ isolates. Numerous, highly diverse clusters of C. diphtheriae are observed across the phylogeny, each containing isolates from multiple countries, regions and time of isolation. The number of antimicrobial resistance genes, as well as the breadth of antibiotic resistance, is substantially greater in the last decade than ever before. We identified and analysed 18 tox gene variants, with mutations estimated to be of medium to high structural impact

    Phytotoxicity, cytotoxicity and genotoxicity evaluation of organic and inorganic pollutants rich tannery wastewater from a Common Effluent Treatment Plant (CETP) in Unnao district, India using Vigna radiata and Allium cepa

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    The leather industry is a major source of environmental pollution in India. The wastewater generated by leather industries contains very high pollution parameters due to the presence of a complex mixture of organic and inorganic pollutants even after the treatment at a Common Effluent Treatment Plant (CETP) and disturbs the ecological flora and fauna. The nature, characteristics and toxicity of CETP treated wastewater is yet to be fully elucidated. Thus, this study aims to characterize and evaluate the toxicity of CETP treated tannery wastewater collected from the Unnao district of Uttar Pradesh, India. In addition to measuring the physico-chemical parameters, the residual organic pollutants was identified by GC-MS analysis and phytotoxicity, cytotoxicity and genotoxicity of the treated wastewater was evaluated using Vigna radiata L. and Allium cepa L. Results showed that the treated wastewater contained very high pollution parameters (TDS 3850mg/L, BOD 680mg/L, COD-1300mg/L). GC-MS analysis revealed the presence of various types of residual organic pollutants including benzoic acid, 3-[4,-(T-butyl) Phenyl] furan-2-5-dione, benzeneacetamide, resorcinol, dibutyl phthalate, and benzene-1,2,4-triol. Further, toxicological studies showed the phytotoxic nature of the wastewater as it inhibited seed germination in V. radiata L. and root growth of A. cepa. Genotoxicity was evidenced in the root tip cell of A. cepa where chromosomal aberrations (stickiness, chromosome loss, C-mitosis, and vagrant chromosome) and nuclear abnormalities like micronucleated and binucleated cells were observed. Thus, results suggested that it is not safe to discharge these wastewater into the environment

    Review Paper on Controlling the Speed of DC Motor with High Accuracy and Demerits of Other Speed Controlling Techniques

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    Abstract: The presented paper is concerned with the speed controlling of dc motor by using embedded system, which is easy to use and provide us very high accuracy. Here we have compared the different type of techniques which are used to control the speed of DC motor. We have used CMOS 8-bit microcontroller with 8K bytes in system programmable flash AT895S2. The most important advantage of a DC motor is that we can vary the relationship of speed-torque as per our requirement & for that purpose we have use a simple technique which is known as Pulse Width Modulation, which is used to produce low and high pulses. The pulses produce is the cause of changing speed of motor. Therefore to achieve this we have use a microcontroller (AT89S52), which can be programmable to set the speed by changing the time period of duty cycle in the code
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