ARTICLE INFO ABSTRACTA Non-doctor prescribing and self-medication of drugs is common in developing countries. People tend to act on their own for their health. Encouragement of self-care is seen as giving patients every opportunity to take responsibility and build confidence in their ability to manage their own health. Self-medication is defined as the use of medication whether modern or traditional for the purpose of self-treatment. Studies on self-medication showed that it is influenced by a variety of factors such as education, family, society, law, exposure to advertisements and the availability of drugs. The most common medication used for self-medications are antibiotics and analgesics. Drug retail shops are frequently the first point of contact with the healthcare system. People tend to bypass the doctor visit, proceed to the pharmacy and buy the drug acting solely on their own instinct. Unlike other aspects of self-care and self-medication involves the usage of drugs and drugs have the potential to do good as well as harm. This study aims to gather information about the awareness and prevalence of self-medication in the dental student fraternity and also to educate people to ensure safe practices.
Security concerns are growing, especially in applications where sensitive information is sent (such as health care devices, credit cards, and even Internet of Things (IoT) nodes), even while these developments bring in a modern revolution. This is due to the constant scaling of technologies, which has now been incredibly useful for delivering the new trend of development in the numerous domains such as communications, semiconductors, health care, and automation. Even when cutting-edge standard encryption algorithms are used in smart devices, the principal threats, such as Side-Channel Attacks (SCA) and Correlation Power Analysis (CPA), increase the susceptibility of encrypted cipher text to attacks. In order to defend against side channel assaults, the usefulness of deep learning algorithms combined with chaotic principles is examined in this paper. Scroll Mapping (SM) and Attention-Evoked Long Short-Term Memory (AE-LSTM) are used in the proposed study to effectively safeguard sensitive data while consuming little power. The most promising advancements in terms of all security metrics and hardware capabilities for obtaining high-speed performances are shown by experimental findings on an FPGA implementation of a suggested framework.
ARTICLE INFO ABSTRACTTransplantation is defined as the transfer (engraftment) of human cells, tissues or organs from a donor to recipient with an aim of restoring function(s) in the body. But in almost every country the number of willing organ donors falls short of the number of people on the waiting list by many thousands. As health care personnel we remain one of the most reliable sources for general population to get information about a relatively safe procedure. This study aims to determine the knowledge, attitude and practices towards organ donation
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