Abstract:: Cancer is the deadliest disease worldwide and the development of safer chemical entities to treat cancer is one of the major challenges of medicinal chemistry. Emergence of new cases every year and development of multiple drug resistance against available molecular entities has turned the focus of researchers towards natural products. Chalcones are pharmacologically active compounds, present in plants, which have been derivatized and screened by many researchers for the treatment of cancer. Chalcones, consist of 1,3-diaryl-2-propen-1-one, is one such class exhibiting broad anticancer activities against various cancerous cell lines. The objective of this review article is to analyze the antitumor activity of the reported chalcones via distinct mechanisms adopted by these molecules underlying their inhibitory activity. The primary focus of this review is to bring the attention of researchers towards latest and important chalcones and their derivatives having potent anticancer activity adding their possible action of mechanisms against cancerous cell lines The recent literature was surveyed and it was found that chalcone analogs with electron donating groups, indolyl, quinolone, pyrazol-ol, hydroxyaminobenzamide, hydroxamic acid and pyridyl- indole groups have shown promise as potential anticancer agents following various mechanisms. Most chalcones were found to induce significant cell cycle arrest at G2/M phase hence leading to apoptosis. A number of synthetic chalcones exhibited higher efficacy due to their ability of potent tubulin polymerization as well as dynamic enzyme inhibitory activity. This review is an immense compilation of research regarding the mechanism of action of chalcones and their identification as a promising anticancer agent for future drug developments. Thus, this review article would pave way and provide ample opportunities to design future generation of novel, highly efficacious anticancer molecules with minimal toxicity.

In recent years, intelligent sensing has gained significant attention because of its autonomous decision-making ability to solve complex problems. Today, smart sensors complement and enhance the capabilities of human beings and have been widely embraced in numerous application areas. Artificial intelligence (AI) has made astounding growth in domains of natural language processing, machine learning (ML), and computer vision. The methods based on AI enable a computer to learn and monitor activities by sensing the source of information in a real-time environment. The combination of these two technologies provides a promising solution in intelligent sensing. This survey provides a comprehensive summary of recent research on AI-based algorithms for intelligent sensing. This work also presents a comparative analysis of algorithms, models, influential parameters, available datasets, applications and projects in the area of intelligent sensing. Furthermore, we present a taxonomy of AI models along with the cutting edge approaches. Finally, we highlight challenges and open issues, followed by the future research directions pertaining to this exciting and fast-moving field.

NASA astronauts experience sick building syndrome all the time in their sealed space stations. Sick building syndrome occurs when people who work or live inside a building experience symptoms such as: *Headaches *Nausea *Irritation in the eyes, throat or nose *coughing *Dry and itchy skin *Inability to focus *Allergies These symptoms usually go away when we leave the building for a certain amount of time. While the cause is unknown, sick building syndrome is known

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