Recently Published Papers
Ayurvedic Review Article on Kuchla
Published Date - 15 Jul
Kuchala (strychnous nuxvomica Linn) is a widely recognized toxic plant in Indian machine of medication. it's miles protected in Upavisha via ayurveda texts. Strychinine nux vomica lin is a popular people medicinal drug from historic times. Even today additionally many humans in ruler India use Kuchala in medicinal drug shape. according to achryas even an acute poison can turn out to be an first-rate drug if it's miles nicely administered, and in addition even a drug, if not well administered, will become an acute poison. Kuchala is a acknowledged vegetable poison to Ayurveda in addition to present day technology but it's miles used in lots of medicinal arrangements of Ayurveda and other allied medicinal pathies. Strychnine is a chief incorporate of kuchala which turned into first used medically in 1540, and persisted to be used in lots of stimulants, Tonics and cathartics. In this newsletter the overall facts about the toxic plant Kuchala, it’s, Toxicological component, Medicolegal aspect and healing makes use of noted in Ayurveda, Agadatantra and in different systems of medicine.
Face Mask Recognition System Using Conventional Neural Networks
Published Date - 14 Jul
Coronavirus plague has quickly disturbed our everyday lives influencing the worldwide exchange and developments. Wearing a facial covering to safeguard one's face has turned into the new typical. Sooner rather than later, numerous public specialist organizations will anticipate that the clients should wear covers properly to participate in their administrations. Subsequently, facial covering recognition has turned into a basic obligation to help overall human progress. This paper gives a straightforward method for accomplishing this goal using some key AI apparatuses such as TensorFlow, Keras, OpenCV and Scikit-Learn. The recommended procedure effectively perceives the face in the picture or video and afterward decides if it has a cover on it. As an observation work entertainer, it can likewise perceive a face along with a cover moving as well as in a video. The method accomplishes astounding exactness. We examine ideal boundary values for the Convolutional Brain Organization model (CNN) to distinguish the presence of covers precisely without producing over-fitting. The greatest accuracy is 96.84% measured using Proposed Deep Learning Method.
optimization theory and its application in operation research
Published Date - 14 Jul
Optimization theory is crucial in operations research, providing mathematical frameworks and algorithms to solve complex decision-making problems efficiently. This paper covers the basics of optimization theory, explores its mathematical foundations, and reviews various optimization algorithms. It also examines real-world applications in operations research, showing how these theories and algorithms improve efficiency, reduce costs, and enhance decision-making in industries.
MATERNAL EDUCATION AND IT’S INFLUENCE ON HEALTH AWARENESS. A STUDY AMONG WOMEN IN DEVIKULAM THALUK, IDUKKI DISTRICT, KERALA, INDIA
Published Date - 14 Jul
Extensive and in-depth research has pointed out numerous evidences that maternal education to be a very strong and consistent predictor in reduced maternal and child mortality rate in developing countries. A deeper understanding calls for investigation how maternal schooling affects in developing women’s health awareness and health seeking behavior. This study examines how the maternal education level influences the awareness level of health-related matters of mother and child. The study attempts to analyze the awareness level of women about pregnancy and child birth, immunization and management of childhood malnutrition and anemia and various aspects of health-related matters of mother and child. It is very evident from this study that maternal education level strongly connected to the health information level among mothers and thus improves better health care utilization, improved level of utilization of antenatal services, management of maternal health during pregnancy and better health results of their children.
Emergencies and/or Urgencies faced by Orthodontists in sullia, D.K. during Covid-19 Pandemic: A questionnaire study
Published Date - 14 Jul
Introduction: The present study aimed to evaluate the most common urgencies and emergencies in orthodontics during the coronavirus disease 2019 (COVID-19) pandemic and to assess how orthodontists in Sullia (Dakshin Kannada) were dealing with patients and challenges. Methods: Early in 2020, as the COVID-19 pandemic spread around the world, routine dental care was suspended in many countries, and only patients needing urgent or emergency care could be seen. During this period, orthodontists in sullia were invited to participate in an anonymous online survey. They answered questions regarding dental office and appointments during the pandemic, the type of urgency or emergency care provided the type of appliance and urgencies, etc. The level of concern about the impact of the pandemic on patient’s orthodontic treatments and the financial impact on the dental office was also evaluated Results: Most orthodontists were handling only emergencies or urgencies. The most frequent urgencies were bracket breakage, archwire breakage, and breakage of molar tubes and/or bands. Stainless steel fixed appliances were the most common type of appliance related to scheduled appointments. The majority of patients got in touch with the orthodontist using the professional WhatsApp messenger (WhatsApp Inc, Menlo Park, Calif). Orthodontists were more concerned with the financial impact of the pandemic than with the orthodontic treatment itself. Conclusions: Breakage of brackets, archwires, or tubes and/or bands was the most common causes of urgency and/or emergency appointments during the pandemic. The level of concern about the financial impact of the stay-at-home orders and the COVID-19 pandemic was significant.
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