Advancements in Combating Fungal Infections: A Comprehensive Review on the Development of Azole Hybrid Antifungals.

OBJECTIVE: In this review, we have summarized antifungal agents containing potent azole analogues. DATA ACQUISITION: The provided literature is related to the development and application of azole derivatives and has been accessed from electronic data bases such as Science direct, Google Scholar, and Pubmed using keywords such as "design, synthesis and evaluation", "azole hybrids", "diazole hybrids", "indazole derivatives", "imidazole derivatives", "triazole derivatives", "tetrazole derivatives" and related combinations. RESULT: From this review, it was identified that azole derivatives with promising antifungal activity play a vital role in drug discovery and development. The literature revealed that azole derivatives can effectively fight several types of microorganisms, such as Candida albicans, Aspergillus niger, and others. The rational design and structure‒activity relationship of these compounds are discussed in this paper, highlighting their potential as effective therapeutic options against various fungal pathogens. Moreover, this work addresses the challenges and future directions in the development of azole hybrids. The results of docking studies of several of the hybrids that the researchers provided are also summarized. CONCLUSION: The current work attempts to review such innovations, which may lead to the preparation of novel therapeutics. More research is required to confirm their safety and effectiveness in clinical practices.

Understanding CFTR Functionality: A Comprehensive Review of Tests and Modulator Therapy in Cystic Fibrosis.

Cystic fibrosis is a genetic disorder inherited in an autosomal recessive manner. It is caused by a mutation in the Cystic Fibrosis Transmembrane Conductance Regulator (CFTR) gene on chromosome 7, which leads to abnormal regulation of chloride and bicarbonate ions in cells that line organs like the lungs and pancreas. The CFTR protein plays a crucial role in regulating chloride ion flow, and its absence or malfunction causes the production of thick mucus that affects several organs. There are more than 2000 identified mutations that are classified into seven categories based on their dysfunction mechanisms. In this article, we have conducted a thorough examination and consolidation of the diverse array of tests essential for the quantification of CFTR functionality. Furthermore, we have engaged in a comprehensive discourse regarding the recent advancements in CFTR modulator therapy, a pivotal approach utilized for the management of cystic fibrosis, alongside its concomitant relevance in evaluating CFTR functionality.

Smart City Healthcare Cyber Physical System: Characteristics, Technologies and Challenges.

The recent pandemic has demanded a strong and smart healthcare system which can monitor the patients efficiently and handle the situation that arises from the outbreak of the disease. Smart healthcare cyber physical systems are the future systems as they integrate the physical and cyber world for efficient functioning of medical processes and treatment through external monitoring and control of patients, medical devices and equipment for continuous communication and information exchange of physiological data. Technologies like Internet of Things, Machine learning and Artificial Intelligence have given birth to smart cyber physical systems like Smart Healthcare Systems, Smart Homes, Smart Vehicular Systems and Smart Grid. Such systems are interdisciplinary in nature with multitude of technologies contributing to its effective working. This paper presents a case study on healthcare cyber physical systems presenting its characteristics, role of various technologies in its growth and major challenges in successful implementation of cyber physical medication systems.

A review on sentiment analysis and emotion detection from text.

Social networking platforms have become an essential means for communicating feelings to the entire world due to rapid expansion in the Internet era. Several people use textual content, pictures, audio, and video to express their feelings or viewpoints. Text communication via Web-based networking media, on the other hand, is somewhat overwhelming. Every second, a massive amount of unstructured data is generated on the Internet due to social media platforms. The data must be processed as rapidly as generated to comprehend human psychology, and it can be accomplished using sentiment analysis, which recognizes polarity in texts. It assesses whether the author has a negative, positive, or neutral attitude toward an item, administration, individual, or location. In some applications, sentiment analysis is insufficient and hence requires emotion detection, which determines an individual's emotional/mental state precisely. This review paper provides understanding into levels of sentiment analysis, various emotion models, and the process of sentiment analysis and emotion detection from text. Finally, this paper discusses the challenges faced during sentiment and emotion analysis.