1,531 research outputs found

    A study on the clinical, biochemical and hormonal profile of polycystic ovary syndrome patients attending tertiary care hospital

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    Background: Polycystic ovary syndrome (PCOS) is one of the most common endocrine disorder of reproductive age affecting 5% to 10% of women worldwide. It is a heterogenous, multifactorial, complex genetic disorder. PCOS receives a considerable attention because of its high prevalence and metabolic, reproductive and cardiovascular consequences.Methods: A cross sectional observation study of 100 PCOS patients was carried out between January 2014 to July 2015 in Gynaecology out-patient and Infertility OPD, Justice K. S. Hegde charitable hospital, Mangalore. The clinical, biochemical and hormonal profile of these patients were analysed and correlation was done between clinical features and biochemical and hormonal profile.Results: The prevalence of PCOS was 6.3% in the Gynaecology out-patient visits and 37.14% among infertile women. Menstrual irregularity was the most common complaint accounting for 31% followed by infertility (23%). Elevated leutinizing hormone and elevated LH: FSH was significant in irregular menstrual group. The prevalence of metabolic syndrome in our study was 21.3%. Spearmans correlation between various clinical and laboratory parameters showed menstrual cycle and body mass index(BMI) had a fair positive correlation and was significant. WHR (waist hip ratio) showed 21 times risk for metabolic syndrome.Conclusions: The study showed that most of our polycystic ovary syndrome subjects were hirsute, with central obesity and overweight or obese. Oligomenorrhea was the most common presentation. Among the various risk factors studied, WHR (waist hip ratio) showed 21 times risk for metabolic syndrome. Obese women with PCOS had more severe ovulatory dysfunction and need more attention for their appropriate management

    A novel approach to jointly address localization and classification of breast cancer using bio-inspired approach

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    Localization of the cancerous region as well as classification of the type of the cancer is highly inter-linked with each other. However, investigation towards existing approaches depicts that these problems are always iindividually solved where there is still a big research gap for a generalized solution towards addressing both the problems. Therefore, the proposed manuscript presents a simple, novel, and less-iterative computational model that jointly address the localization-classification problems taking the case study of early diagnosis of breast cancer. The proposed study harnesses the potential of simple bio-inspired optimization technique in order to obtained better local and global best outcome to confirm the accuracy of the outcome. The study outcome of the proposed system exhibits that proposed system offers higher accuracy and lower response time in contrast with other existing classifiers that are freqently witnessed in existing approaches of classification in medical image process

    Advancement in Research Techniques on Medical Imaging Processing for Breast Cancer Detection

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    With the advancement of medical image processing, the area of the healthcare sector has started receiving the benefits of the modern arena of diagnostic tools to identify the diseases effectively. Cancer is one of the dreaded diseases, where success factor of treatment offered by medical sector is still an unsolved problem. Hence, the success factor of the treatment lies in early stage of the disease or timely detection of the disease. This paper discusses about the advancement being made in the medical image processing towards an effective diagnosis of the breast cancer from the mammogram image in radiology. There has been enough research activity with various sorts of advances techniques being implemented in the past decade. The prime contribution of this manuscript is to showcase the advancement of the technology along with illustration of the effectiveness of the existing literatures with respect to research gap

    Acetyl salicylic acid augments functional recovery following sciatic nerve crush in mice

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    Cyclin-dependent kinase 5 (CDK-5) appears to play a significant role in peripheral nerve regeneration as CDK-5 inhibition retards nerve regeneration following nerve crush. Anti-inflammatory drug acetyl salicylic acid elevates CDK-5 and reduces ischemia – reperfusion injury in cultured neurons. In this study we have evaluated the effect of acetyl salicylic acid on functional recovery following sciatic nerve crush in mice. Eighteen Swiss albino mice underwent unilateral sciatic nerve crush. Test animals received acetyl salicylic acid (100 mg/kg/day, n = 6 or 50 mg/kg/day, n = 6) and control animals (n = 6) received normal saline for 14 days following surgery. Functional recovery was assessed with improvement in Sciatic Function Index, nociception and gait. In comparison with normal saline treatment, acetyl salicylic acid (100 mg/kg/day) significantly improved functional recovery following sciatic nerve crush. Anti-inflammatory drug acetyl salicylic acid appears to be a promising agent for treating peripheral nerve injuries and hence elucidation of its neuroprotective pathways is necessary

    A Review Over Genetic Algorithm and Application of Wireless Network Systems

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    AbstractTele-communication and network industry are becoming extremely fascinated by the use of evolutionary smart sensor nodes in wireless sensor networks. This technology promises to overcome several challenges within WSNs needed for real time data protection via optimization technique: Genetic Algorithm. This paper reviewedthe use of Genetic Algorithms (GAs) to solve certain limitation of wireless sensor networks. It further presents major application areas of wireless sensors networks. Longerdistance gap between a sensor and destination in a sensor network can remarkably reduce the energy of sensors and can degrade the life of a network. GA can prolong the network lifetime by minimizing the total communication distance

    Acute toxicity study of seeds of Achyranthes aspera, bark of Berberis aristata and roots of Coleus forskohlii in Wistar rats

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    Background: Achyranthes aspera is a species of plant in the family Amaranthaceae. Berberis aristata is a shrub belonging to the family Berberidaceae and the genus Berberis. Plectranthus barbatus is a tropical perennial plant related to the typical coleus species. It produces forskolin, an extract useful for pharmaceutical preparations and research in cell biology. It is belonging to Lamiaceae. The present study has been undertaken to study the toxic effects of hydro alcoholic extracts of A. aspera, B. aristata, C. forskohlii in albino Wistar rats and to establish the hazardous safety category of hydro alcoholic extracts of these plants as per organization for economic cooperation and development (OECD-423) guidelines and GHS classification system respectively.Methods: In acute toxicity study, the hydro-alcoholic extracts of all the above three plants were given orally at the dose of 2000 mg/kg b. w. to three rats in each group respectively in step I. Then, all the animals were observed for initial 4 hours and followed by fourteen days for their clinical signs and mortality in step II.Results: In step I, all the animals were normal and there was no mortality after 48 hours. In step II with the same dose, all the animals showed no adverse effects and no mortality when followed up to 14 days observation period.Conclusions: The result indicates that the hydro alcoholic extracts of A. aspera, B. aristata, C. forskohlii plants can be utilized safely for therapeutic use in pharmaceutical formulations and it falls under category ‘5’ or ‘unclassified’ of GHS system

    Uncertainty of Position of a Photon and Concomitant and Consummating Manifestation of Wave Effects

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    A system of uncertainty of the position of the particle (photon, electron etc.,) is investigated. Very observation affects the quantum mechanical reality, and the nature like a coy bride hides herself. Measurement always disturbs the true nature of ‘nature’ We discuss stability,solutional behaviour, and asymptotic behaviors of the system Keywords: Uncertainty of the position of the photon, Wave pattern, Duality Theory, Double Slit experiment, Superposition, Dark Photon, Annihilating particles

    OF GHOST FIELDS,CELESTIAL MONSTERS AND HELLHOUNDS-A FORTY SEVEN STOREY MODEL

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    ABSTRACT: We study a consolidated system of event; cause and n Qubit register which makes computation with n Qubits. Model extensively dilates upon systemic properties and analyses the systemic behaviour of the equations together with other concomitant properties. Inclusion of event and cause ,we feel enhances the “Quantum ness” of the system holistically and brings out a relevance in the Quantum Computation on par with the classical system, in so far as the analysis is concerned. Additional VARIABLES OF Space Time provide bastion for the quantum space time studies

    QUANTUM GRAVITY- THE EL DORADO – NAY A NE PLUS ULTRA --THE FINAL FINALE

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    Motivation for quantizing gravity comes from the remarkable success of the quantum theories of the other three fundamental interactions, and from experimental evidence suggesting that gravity can be made to show quantum effects Although some quantum gravity theories such as string theory and other unified field theories (or 'theories of everything') attempt to unify gravity with the other fundamental forces, others such as loop quantum gravity make no such attempt; they simply quantize the gravitational field while keeping it separate from the other forces. Observed physical phenomena can be described well by quantum mechanics or general relativity, without needing both. This can be thought of as due to an extreme separation of mass scales at which they are important. Quantum effects are usually important only for the "very small", that is, for objects no larger than typical molecules. General relativistic effects, on the other hand, show up mainly for the "very large" bodies such as collapsed stars. (Planets' gravitational fields, as of 2011, are well-described by linearised except for Mercury's perihelion precession; so strong-field effects—any effects of gravity beyond lowest nonvanishing order in ?/c2—have not been observed even in the gravitational fields of planets and main sequence stars). There is a lack of experimental evidence relating to quantum gravity, and classical physics adequately describes the observed effects of gravity over a range of 50 orders of magnitude of mass, i.e., for masses of objects from about 10?23 to 1030 kg.We present a complete Model which probably explains the positivities and discrepancies and inadequacies of each model. Physics is certainly moving in to the subterranean realm and ceratoid dualism of consciousness and subject object duality(Freud vouchsafed only at the mother’s breast shall the subject and object shall be one),like a maverick trying to transcend the boundaries of space time, standing on the threshold of infinity trying to ponder what lies beyond the veil which separates the scene from unseen
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