252 research outputs found

    “Darpan” – A Self-Introspection on Women’s Mental Health

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    Women’s mental health is a crucial and important aspect in her overall well-being but neglected as it is often asymptomatic. It is interesting to reflect on mental health for a woman who has multiple responsibilities - Her own, family, career, and responsibilities to the community and the impact it has on women career continuity and career progression. The ideal situation would be all for all groups to be partners and stakeholders in the same so that women can balance career along with other responsibilities. The article throws light on how postponing the career opportunities of women become a hurdle for her to restart her career and pacify her passion and how it affects the mental wellbeing

    Determination of antioxidant activity of polyphenol extract from artichoke leaves

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    Application of Data Mining in Telecommunication Industry

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    Data Mining is a logical procedure intended to investigate data (normally a lot of data - commonly business or market related - otherwise called "enormous data") looking for predictable examples as well as methodical connections amongst factors, and after that to approve the discoveries by applying the recognized examples to new subsets of data. The telecommunications industry inside the division of data and correspondence technology is comprised of all Telecommunications/telephone companies and web access suppliers and assumes the urgent part in the development of versatile interchanges and the data society. Customary telephone calls keep on being the industry's greatest income generator, yet because of advances in arrange technology, Telecom today is less about voice and progressively about content (informing, email) and pictures (e.g. video gushing). Fast web access for PC based data applications, for example, broadband data administrations and intelligent stimulation , is unavoidable. Digital Subscriber Line (DSL) is the primary broadband telecom technology. The quickest development originates from (esteem included) administrations conveyed over portable systems

    Use of High-Energy Radiation for Degradation of Environmental Pollutants

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    The purpose of this project was to explore the advantages and/or limitations of high-energy radiation treatment as a method for degrading organic pollutants, particularly aryl halides, in an aqueous medium. We have done analyses of 60Co-irradiated samples and kinetic studies using pulsed electron beams. For aryl halides containing no more than two fused rings, the main products detected are those of simple halogen replacement by hydrogen, although the amount of aryl halide destroyed was always greater than the total amount of products detected. To accomplish halogen replacement by H, the reaction solvent may not be pure water but must contain a hydrogen source such as an aliphatic alcohol. The absence of such an additive, results in products of aryl radical addition to aryl halide. The necessary amount of additive required is quite small for halobenzenes. With aryl halides of three (and presumably more than three) fused rings, the radical-anion intermediates either undergo conversion to halogen-containing dihydroarenes, or lose halogen to form raqicals which resist reaction with H-donating additive and thus form dimers. When aryl halides are solubilized in micelle-forming detergent solutions, the detergent molecules serve as hydrogen atom sources. Conversions are highest with cationic detergents

    Energetics of the Kerr-Newman black hole by the Penrose process

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    We have studied in detail the energetics of Kerr-Newman black hole by the Penrose process using charged particles. It turns out that the presence of electromagnetic field offers very favourable conditions for energy extraction by allowing for a region with enlarged negative energy states much beyond r = 2M, and higher negative values for energy. However, when uncharged particles are involved, the efficiency of the process (defined as the gain in energy/input energy) gets reduced by the presence of charge on the black hole in comparison with the maximum efficiency limit of 20.7 per cent for the Kerr black hole. This fact is overwhelmingly compensated when charged particles are involved as there exists virtually no upper bound on the efficiency. A specific example of over 100 per cent efficiency is given

    FNAC, cell block and core needle biopsy in diagnosis of lung masses: a necessity or choice?

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    Background: Lung cancer is the commonest cancer mortality in the world. In targeted therapy era, precise cytohistological diagnosis is offered traditionally by FNAC, Cell Block (CB) and Core Needle Biopsy (CNB). However, little is known whether one technique is superior to other or all the three techniques complement each another. Therefore, this is a unique study as no other study has compared these techniques together till date. The objective of the study was to evaluate performance of FNAC, Cell block (CB) and Core Needle Biopsy (CNB) individually and comparing them with each other.Methods: This was a prospective study of 50 cases who underwent two passes-1st for FNAC smears and Cell Block and 2nd for CNB.Results: Material was Inadequate in 8 cases by FNAC 16 with Cell Block and 02 with CNB. When adequate, diagnosis and typing was possible by Cell Block (32) and CNB (48). In 08 FNAC cases having adequate material, cytological typing wasn’t possible. These 08 cases were typed by cell block as 07 malignant and 01 pre-malignant. The combined inadequate cases with cyto-technique (FNAC and Cell Block) were 04 compared to 02 cases on CNB. Combined sensitivity of Cyto-techniques was 95.4% compared to 97% on CNB. The specificity was 100% for both Cyto-techniques and CNB.Conclusions: Diagnostic adequacy and test parameters improved and approached CNB when both cyto-techniques are combined. So, we strongly recommend that Cell Block be made routine diagnostic procedure in all the government institutions especially for guided FNAC

    Self-reported predictors of depressive symptomatology in an elderly population with type 2 diabetes mellitus: a prospective cohort study

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    <p>Abstract</p> <p>Background</p> <p>The prevalence of depression increases among the elderly with chronic medical conditions like diabetes. Hence, the purpose of this study was to determine predictors of depressive symptomatology in Medicare enrolled elderly population with type 2 diabetes mellitus.</p> <p>Methods</p> <p>A prospective cohort study was conducted by administrating health risk assessment questionnaire to elderly (≥65 years) with type 2 diabetes. Responses were linked with administrative claim's data. Data were obtained from elderly with type 2 diabetes who were enrolled in Medicare Health Maintenance Organization (HMO) in southeastern United States. The instrument collected information related to demographics, health status, medication use, and healthcare service utilization prior to enrollment. Responses were combined with the administrative claims data of HMO to obtain information on actual utilization of healthcare resources. The Short Form Center for Epidemiologic Studies Depression scale was used to assess depressive symptoms. Multivariable logistic regression analyses were conducted to determine predictor variables.</p> <p>Results</p> <p>Of 792 respondents, about 17% had depressive symptoms. Almost 96% of patients were using 1 or more antidiabetic medications. Overall, increased risk of depression was associated with lower health related quality of life (HRQoL) (OR: 0.97; 95% CI: 0.96–0.98) and higher impairments in instrumental activities of daily living (IADLs) (OR: 1.31; 95% CI: 1.14–0.52) in elderly patients. Poor health related quality of life (OR: 0.97, 95%CI: 0.95–0.99) was associated with higher risk of depression in patients on insulin therapy.</p> <p>Conclusion</p> <p>Impairments in daily activities and lower HRQoL were predictors of depressive symptomatology in elderly with diabetes. Determinants of depression varied according to pharmacotherapeutic class of antidiabetic medications.</p

    Demographic parameters of women with uterine fibroids presenting as abnormal uterine bleeding

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    Background: Uterine fibroids are commonest benign uterine tumors. Only about 25% women with fibroids are symptomatic. Around 70-80% are discovered incidentally during routine pelvic examination. Using ultrasonography screening, some authors have estimated a cumulative incidence of 70% in all women by age 50. Symptoms attributable to fibroids are mainly abnormal uterine bleeding (AUB), pelvic pressure, pain, and reproductive dysfunction. Heavy and/or prolonged menses is the typical bleeding pattern with myomas. Uterine fibroids are a leading cause of hysterectomy in perimenopausal women, thus, this study was done to find out its prevalence and demography in women presenting with AUB. The objectives of the present investigation were to find out the prevalence of uterine fibroid in women with AUB and to find out the various demographic features of womenMethods: The study was done for 2 years in the Dept of Obstetrics and Gynecology of a rural tertiary institute after taking clearance from institutional ethical committee. All the women presenting with AUB were included in the study. History and demographic features was enquired and entered in a predesigned proforma. All women were clinically examined after consent. Women with suspicion of fibroid were subjected to diagnostic modalities and the reports were followed and correlated.Results: Total 11,841 patients came to Gynaeological OPD during the study period. Out of these 3,878 (32.75%) presented with AUB, 2,126 were diagnosed as having fibroids after examination and investigations. Hence, the prevalence of fibroids amongst the women with AUB was 54.82% and 17.95% amongst all gynaecological patients. Maximum women were between 31-40 years, (64.78% rural and 62.73% urban). Majority were having parity between 1-2 (40.73% in urban, 38.96% in rural).Conclusions: Uterine fibroids are the commonest reason of AUB in reproductive age group with the prevalence of 54.82%. The trends in age incidence have remained the same over the years, commonly affecting women in third decade. There is no difference in incidence of fibroids amongst various socioeconomic classes.

    Graph Representation And Distributed Control Of Lumped And Distributed Parameter System Networks

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    University of Minnesota Ph.D. dissertation. 2019. Major: Chemical Engineering. Advisor: Prodromos Daoutidis. 1 computer file (PDF); 166 pages.Chemical plants are complex, integrated networks of individual process systems. The process system dynamics along with the interconnections among them make the task of controlling chemical plants challenging. Distributed control is a promising approach towards achieving plant-wide control of tightly integrated networks. The identification of sparsely interacting sub-networks in a given chemical network is key towards achieving superior performance from the distributed control structure. To this end, community detection algorithms have been adopted to determine the optimal decompositions for chemical networks by maximization of modularity. These algorithms are based on equation graph representations of the network. For lumped parameter system (LPS) networks, such representations are standard. Since chemical networks usually comprise lumped as well as distributed parameter systems (DPSs), this thesis aims at incorporating within the framework described above, the variables and topology of DPSs, to develop a unified framework to obtain optimal network decompositions (control structures) for distributed control. To this end, an equation graph representation for a generic DPS and a parameter which captures the strength of structural interactions among its variables analogous to relative degree in LPSs are proposed. A relationship is established between the length of the input-output path in the equation graph and the structural interaction parameter, which enables the incorporation of DPSs variables in the graph based community detection algorithms. Also, since in chemical networks, often the measurement of the entire state is not available and estimation of the unmeasured variables is a computationally expensive task, this thesis also addresses the problem of combined distributed state estimation and distributed control, using community detection for determining network decompositions for estimation as well as control

    Primers and Probe to Identify Mycobacterium Tuberculosis Complex

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    Methods and nucleic acids for rapid, reliable and sensitive detection of Mycobacterium tuberculosis (MTB) complex pathogen in a biological sample. Oligonucleotides are provided which amplify MTB DNA and which are useful in carrying out real time PCR of DNA obtained from formalin-fixed and paraffin-embedded tissue samples
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