538 research outputs found

    Socio-economic profile of shrimp farmers and its influence on the extent of adoption of shrimp culture technologies

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    The study of the socio-economic profile of shrimp farmers of Nellore in Andhra Pradesh and Nagapattinam in Tamil Nadu revealed that 40% of the shrimp farmers had collegiate level of education, and they had medium levels of farming experience, information seeking behaviour, extension contact~ economic motivation and risk orientation. The resu lts of correlation analysis revealed that of the seventeen independent variables studied eleven independent v'ariables had positive and significant relationship with the extent of adoption of shrimp culture technologies by shrimp farmers of Nellore. Among the shrimp farmers of Nagapattinam, seven independent variables had positive and significant relationship with the extent of adoption. The results of step• wise multiple regression analysis revealed that variables such as information seeking behaviour, credit orientation and material possession expfained 48(10 of the variation in the extent of adoption by shrimp farmers of Nellore and variables like extens ion contact, risk orientation, farming experience, type of ownership, annual income and material possession explained 84 percent of the variation in the extent of adoption by shrimp farmers of Nagapattinam

    The Impact of HAART on the Respiratory Complications of HIV Infection: Longitudinal Trends in the MACS and WIHS Cohorts

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    Objective: To review the incidence of respiratory conditions and their effect on mortality in HIV-infected and uninfected individuals prior to and during the era of highly active antiretroviral therapy (HAART). Design: Two large observational cohorts of HIV-infected and HIV-uninfected men (Multicenter AIDS Cohort Study [MACS]) and women (Women's Interagency HIV Study [WIHS]), followed since 1984 and 1994, respectively. Methods: Adjusted odds or hazards ratios for incident respiratory infections or non-infectious respiratory diagnoses, respectively, in HIV-infected compared to HIV-uninfected individuals in both the pre-HAART (MACS only) and HAART eras; and adjusted Cox proportional hazard ratios for mortality in HIV-infected persons with lung disease during the HAART era. Results: Compared to HIV-uninfected participants, HIV-infected individuals had more incident respiratory infections both pre-HAART (MACS, odds ratio [adjusted-OR], 2.4; 95% confidence interval [CI], 2.2-2.7; p<0.001) and after HAART availability (MACS, adjusted-OR, 1.5; 95%CI 1.3-1.7; p<0.001; WIHS adjusted-OR, 2.2; 95%CI 1.8-2.7; p<0.001). Chronic obstructive pulmonary disease was more common in MACS HIV-infected vs. HIV-uninfected participants pre-HAART (hazard ratio [adjusted-HR] 2.9; 95%CI, 1.02-8.4; p = 0.046). After HAART availability, non-infectious lung diseases were not significantly more common in HIV-infected participants in either MACS or WIHS participants. HIV-infected participants in the HAART era with respiratory infections had an increased risk of death compared to those without infections (MACS adjusted-HR, 1.5; 95%CI, 1.3-1.7; p<0.001; WIHS adjusted-HR, 1.9; 95%CI, 1.5-2.4; p<0.001). Conclusion: HIV infection remained a significant risk for infectious respiratory diseases after the introduction of HAART, and infectious respiratory diseases were associated with an increased risk of mortality. © 2013 Gingo et al

    Colposcopy attendance and deprivation: A retrospective analysis of 27 193 women in the NHS Cervical Screening Programme

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    This study is funded by a grant from the UK Department of Health (no. 106/0001). ED and NM are supported by the Policy Research Unit in Cancer Awareness, Screening, and Early Diagnosis. The Policy Research Unit receives funding for a research programme from the Department of Health Policy Research Programme. It is a collaboration between researchers from seven institutions (Queen Mary University of London, University College London, King’s College London, London School of Hygiene and Tropical Medicine, Hull York Medical School, Durham University and Peninsula Medical School)

    (1Z)-1-(2,4-Dichloro­phen­yl)ethan-1-one semicarbazone

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    In the title compound, C9H9Cl2N3O, the semicarbazone group is approximately planar, with an r.m.s deviation from the mean plane of 0.011 (2) Å. The dihedral angle between the least-squares planes through the semicarbazone group and the benzene ring is 38.76 (9)°. The crystal structure is further stabilized by N—H⋯O and C—H⋯O hydrogen bonding

    A Jamming Attacks Detection Approach Based on CNN based Quantum Leap Method for Wireless Sensor Network

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    The wireless sensor network is the most significant largest communication device. WSN has been interfacing with various wireless applications. Because the wireless application needs faster communication and less interruption, the main problem of jamming attacks on wireless networks is that jamming attack detection using various machine learning methods has been used. The reasons for jamming detection may be user behaviour-based and network traffic and energy consumption. The previous machine learning system could not present the jamming attack detection accuracy because the feature selection model of Chi-Squared didn’t perform well for jamming attack detections which determined takes a large dataset to be classified to find the high accuracy for jamming attack detection. To resolve this problem, propose a CNN-based quantum leap method that detects high accuracy for jamming attack detections the WSN-DS dataset collected by the Kaggle repository. Pre-processing using the Z-score Normalization technique will be applied, performing data deviations and assessments from the dataset, and collecting data and checking or evaluating data. Fisher’s Score is used to select the optimal feature of a jamming attack. Finally, the proposed CNN-based quantum leap is used to classify the jamming attacks. The CNN-based quantum leap simulation shows the output for jamming attacks with high precision, high detection, and low false alarm detection
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