Ambient intelligence plays a crucial role in healthcare situations. It provides a certain way to deal with emergencies to provide the essential resources such as nearest hospitals and emergency stations promptly to avoid deaths. Since the outbreak of Covid-19, several artificial intelligence techniques have been used. However, situation awareness is a key aspect to handling any pandemic situation. The situation-awareness approach gives patients a routine life where they are continuously monitored by caregivers through wearable sensors and alert the practitioners in case of any patient emergency. Therefore, in this paper, we propose a situation-aware mechanism to detect Covid-19 systems early and alert the user to be self-aware regarding the situation to take precautions if the situation seems unlikely to be normal. We provide Belief-Desire-Intention intelligent reasoning mechanism for the system to analyze the situation after acquiring the data from the wearable sensors and alert the user according to their environment. We use the case study for further demonstration of our proposed framework. We model the proposed system by temporal logic and map the system illustration into a simulation tool called NetLogo to determine the results of the proposed system.

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Single-cell sequencing investigates the differences in proteomic and genetic information about individual cells by using next-generation sequencing technologies. Sequencing of the whole genome, epigenome, and transcriptome involves the heterogeneous process of diagnosis, progression, and treatment of disease. Previous studies show that only a few selected proteins and RNAs can be measured but recent molecular studies explore that advances in next-generation sequencing and whole genome amplification enabled us to examine the differences among a variety of transcriptomic cells, gene expression, and phenotypic expressions. In our study, we try to summarize different technologies and their applications at single-cell level in diverse fields such as embryology, oncology, immunology, neurology, microbiology, tissue and organ development, antibody screening, and stem cell research.

The history of coronaviruses dates back to the 1960s. There have been several coronaviruses induced epidemics such as severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS) in the recent past. More recently, another coronavirus-induced disease, namely COVID-19 emerged as an epidemic and rapidly developed into a pandemic due to the high transmissibility of SARS-CoV-2. It emerged as an epidemic novel COVID-19, in late 2019, instigated by SARS-CoV2. This review analyses the different aspects of SARS-CoV-2 including its genomic structure, protein composition, transmission mode, and life cycle. SARS-CoV-2 is an RNA virus, which codes four structural proteins along with various accessory proteins. A unique property of COVID-19 is that it incorporates a polybasic cleavage site, which increases its pathogenicity. The genomic variation of COVID-19/SARS-CoV-2 is assumed to be the reason behind its high transmissibility. It was identified that this genomic variation hinders the development of treatment against this disease. This review aims to facilitate the prevention of this infectious disease as well as suggest possible treatment regimens.