555 research outputs found

    A Survey of AI Text-to-Image and AI Text-to-Video Generators

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    Text-to-Image and Text-to-Video AI generation models are revolutionary technologies that use deep learning and natural language processing (NLP) techniques to create images and videos from textual descriptions. This paper investigates cutting-edge approaches in the discipline of Text-to-Image and Text-to-Video AI generations. The survey provides an overview of the existing literature as well as an analysis of the approaches used in various studies. It covers data preprocessing techniques, neural network types, and evaluation metrics used in the field. In addition, the paper discusses the challenges and limitations of Text-to-Image and Text-to-Video AI generations, as well as future research directions. Overall, these models have promising potential for a wide range of applications such as video production, content creation, and digital marketing.Comment: 4 pages, 2 tables, 4th International Conference on Artificial Intelligence, Robotics and Control (AIRC 2023

    Role of Atmospheric Boundary Layer (ABL) Height and Ventilation Coefficient on Urban Air Quality- A study based on Observations and NWP Model

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    Air pollution is an issue of great concern in any urban region due to its serious health implications. The capital of India, New Delhi continues to be in the list of most polluted cities since 2014. The air quality of any region depends on the ability of dispersion of air pollutants. The height or depth of the atmospheric boundary layer (ABL) is one measure of dispersion of air pollutants. Ventilation coefficient is another crucial parameter in determining the air quality of any region. Both of these parameters are obtained over Delhi from the operational global numerical weather prediction (NWP) model of National Centre for Medium Range Weather forecasting (NCMRWF) known as NCMRWF Unified Model (NCUM). The height of ABL over Delhi, is also obtained from radiosonde observations using the parcel method. A good agreement is found between the observed and predicted values of ABL height. The maximum height of ABL is obtained during summer season and minimum is obtained in winter season. High values of air pollutants are found when the values of ABL height and ventilation coefficient are low.


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    Cancer has become the second leading cause of death worldwide. The incidences of cancer are rising at an alarming rate but it can be reduced and controlled by evidence-based strategies for cancer prevention, early detection, and management of patients with cancer. Historically, it is proven that plants and their metabolites have great potential in the treatment of various acute diseases as well as chronic disorders. The novel bioactive compounds from many plants are being studied as potential therapeutic agents because of their high activity and low toxicity. This review gives a comprehensive description of such medicinal plants which have been studied as potentially effective against cancer

    Artemisinin Content in Artemisia scoparia

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    Artemisinin is considered as the natural, active and potent antimalarial drug Artemisia annua Linn. is the only known source for the production of artemisinin reported till date. An attempt was made on a perennial faintly odoratus herb, A. scoparia Waldst et Kit. to find out an alternative of A. annua for the production of  artemisinin. Generation of hairy roots was also tried wih an attempt to increase the concentration of artemisinin in the biofactories. In the present investigation A. scoparia was shown to contain artemisini

    A prospective study to evaluate the role of routine early third trimester ultrasound in the diagnosis of intrauterine growth restriction and prediction of adverse perinatal outcome using color Doppler

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    Background: Intrauterine growth restriction (IUGR) is a major and silent cause of perinatal morbidity and mortality. Rate of IUGR in developing countries is 6 times higher than that of developed countries. 14 to 20 million infants are affected with IUGR in developing countries annually. The highest incidence is found in south central Asia (33%) and India (21%). Aim of study was to evaluate the role of early 3rd trimester ultrasound in diagnosis and role of color Doppler in prediction of adverse perinatal outcome in IUGR.Methods: A prospective case-control study was conducted on 720 women admitted in GMH Rewa for one year. 360 antenatal cases diagnosed as IUGR on ultrasound were taken as study group, same number of non IUGR cases were taken as control. Study cases were followed with Doppler. The umbilical artery pulsatility index (UA PI), middle cerebral artery pulsatility index (MCA PI) and cerebro-placental ratio were calculated and the results were analysed.Results: Inferences drawn from the study were: rate of caesarean section was significantly higher (31%) in study group, perinatal outcome was poor in more number of cases (10.8%) in study group than the control group (3.4%), and the sensitivity and specificity of cerebroplacental ratio was more reliable indicator in comparison to that of UA PI and MCA PI in prediction of adverse perinatal outcome.Conclusions: Looking at the high burden of IUGR cases in our country and its adverse effects on perinatal outcome, if early third trimester ultrasound is made mandatory for all pregnant women, most of the IUGR cases can be detected and managed timely and perinatal outcome can be significantly improved