33 research outputs found

    Can the retina be used to diagnose and plot the progression of Alzheimer's disease?

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    Alzheimer's disease (AD) is a neurodegenerative disease and the most common cause of senile dementia. It impairs the quality of life of a person and their family, posing a serious economic and social threat in developed countries. The fact that the diagnosis can only be definitively made post-mortem, or when the disease is fairly advanced, presents a serious problem if novel therapeutic interventions are to be devised and used early in the course of the disease. There is therefore a pressing need for more sensitive and specific diagnostic tests with which we can detect AD in the preclinical stage. The tau proteins and beta-amyloid proteins start to accumulate 20 years before the symptoms begin to manifest. Detecting them in the preclinical stage would be a potential breakthrough in the management of AD. A high degree of clinical suspicion is needed to correlate problems in cognition with the changes in the eye, particularly the retina, pupil and ocular movements, so that the disease can be detected early and managed in the prodromal phase. In this systematic review, we ask the question whether the retina can be used to make a specific and early diagnosis of AD

    Activity Driven Weakly Supervised Object Detection

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    Weakly supervised object detection aims at reducing the amount of supervision required to train detection models. Such models are traditionally learned from images/videos labelled only with the object class and not the object bounding box. In our work, we try to leverage not only the object class labels but also the action labels associated with the data. We show that the action depicted in the image/video can provide strong cues about the location of the associated object. We learn a spatial prior for the object dependent on the action (e.g. "ball" is closer to "leg of the person" in "kicking ball"), and incorporate this prior to simultaneously train a joint object detection and action classification model. We conducted experiments on both video datasets and image datasets to evaluate the performance of our weakly supervised object detection model. Our approach outperformed the current state-of-the-art (SOTA) method by more than 6% in mAP on the Charades video dataset.Comment: CVPR'19 camera read

    Financial Performance Of Axis Bank And Kotak Mahindra Bank In The Post Reform Era: Analysis On CAMEL Model

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    The objective of this study is to Analyze the Financial Position and Performance of the Axis and Kotak Mahindra Bank in India based on their financial characteristics. We have chosen the CAMEL model and t-test which measures the performance of bank from each of the important parameter like capital adequacy, asset quality, management efficiency, earning quality, liquidity and Sensitivity. The present study is conducted analyze the consistency of the profitability of the Axis and Kotak Mahindra bank’s. It is analyses that the ratio of credit deposit is maximum of Kotak Mahindra Bank Ltd and it shows efficient management of the bank. The ratio of earning per share is maximum for Axis Bank Ltd i.e. 50.28 and the ratio of return on Assets is minimum for Axis Bank Ltd. The CAMELS’ analysis and t-test concludes that there is no significance difference between the Axis and Kotak Mahindra bank’s financial performance but the Kotak Mahindra bank performance is slightly less compared with Axis Bank

    Thyroid disorders in antenatal women in a rural hospital in central India

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    Background: Thyroid disorders are one of the most common endocrine disorders in pregnancy. Thyroid disorders are known to be associated with abnormal maternal and fetal outcomes and are often overlooked in pregnant women because of nonspecific symptoms and hypermetabolic state of pregnancy.Methods: 514 women between 12 to 18 weeks of pregnancy from October 2013 to September 2015were recruited in the study. Serum thyroid-stimulating hormone (TSH) testing was done. Free T4 and free T3 were tested in subjects with a deranged TSH value. Subjects were followed up till delivery, and maternal and fetal complications arising out of thyroid dysfunction were studied.Results: The occurrence of subclinical hypothyroidism was 9.54%, overt hypothyroidism was 2.34% and hyperthyroidism was 0.58%.  When compared to subjects with euthyroidism, anemia and preterm delivery were the most significant maternal complications in subjects with hypothyroidism (p=0.0001 and 0.0001, respectively) whereas miscarriage, IUD/stillbirth, LBW and intrauterine growth restriction were significant fetal complications observed in subjects with hypothyroidism, with p<0.0001, p=0.002, 0.025, 0.009 respectively. NICU admissions were 2.58 times more in subjects with thyroid disorders as compared to euthyroid subjects.Conclusions: The occurrence of thyroid disorders was high in our study with associated adverse maternal and fetal outcomes. Routine screening for thyroid dysfunction is recommended to prevent adverse fetal and maternal outcomes. Serum TSH is a sufficient and cost-effective screening tool.

    A DESCRIPTIVE STUDY ON NUTRITIONAL STATUS ASSESSMENT AND MORBIDITY PATTERN OF ADOLESCENTS (10–16 YEARS) RESIDING IN URBAN SLUMS OF AMRITSAR, PUNJAB

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    Objectives: To assess the nutritional status and morbidity pattern of adolescents age 10–16 years and to determine the various factors associated with under-nutrition. Methods: A descriptive cross-sectional study was conducted among 1600 households which were selected by systematic random sampling method from 64 slum areas. All adolescents aged 10–16 years were included. Required information was collected on a pretested performa. Height and weight were measured to assess their nutritional status and haemoglobin estimation was done by Sahli’s method. Descriptive statistics (frequencies and proportions) and univariate logistic regression were done to determine various factors associated with under nutrition. Results: Out of 603 study participants, 75% of adolescents were under-weight. About 82.3% had anemia. About 36% suffered from one or more infectious disease in the last 3 months. Going to school, occupation, female sex, and suffering from any infectious disease in the past 3 months were found to be associated with malnutrition. Addiction was reported in 9% of study participants. Conclusions: High prevalence of under-nutrition and anemia in our study reflects inequitable distribution of resources, low purchasing capacity of foods, and unequal food sharing patterns in families making them socially and biologically vulnerable
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