MicroRNAs (miRNAs/miRs) are small (18-25 nucleotides in length), endogenous, non-coding RNAs that typically repress gene expression by interacting with the 3'untranslated regions (3'UTRs) of target mRNAs in the cytoplasm. While most of the scientific community still views miRNAs as repressors of gene expression, this review highlights their non-canonical novel role in the nucleus as activators or silencers of target gene transcription through miRNA-promoter interaction. The mechanistic details of the transcriptional role of miRNAs are yet to be elucidated, however, they can be explained by prospective models.
View Article and Find Full Text PDFCOVID-19 is an emerging viral pandemic caused by SARS-CoV-2, which is the causative agent of unprecedented disease-causing public health threats globally. Worldwide, this outbreak is wreaking havoc due to failure in risk assessment regarding the urgency of the pandemic. As per the reports, many secondary complications which include neurological, nephrological, gastrointestinal, cardiovascular, immune, and hepatic abnormalities, are linked with COVID -19 infection which is associated with prominent respiratory disorders including pneumonia.
View Article and Find Full Text PDFThe Tactile Internet (TI) characterises the transformative paradigm that aims to support real-time control and haptic communication between humans and machines, heavily relying on a dense network of sensors and actuators. Non-Orthogonal Multiple Access (NOMA) is a promising enabler of TI that enhances interactions between sensors and actuators, which are collectively considered as users, and thus supports multiple users simultaneously in sharing the same Resource Block (RB), consequently offering remarkable improvements in spectral efficiency and latency. This article proposes a novel downlink power domain Single-Input Single-Output (SISO) NOMA communication scenario for TI by considering multiple users and a base station.
View Article and Find Full Text PDFThis survey delves into cross-layer energy-efficient solutions and cutting-edge security measures for Internet of Things (IoT) networks. The conventional security techniques are considered inadequate, leading to the suggestion of AI-powered intrusion detection systems and novel strategies such as blockchain integration. This research aims to promote the development of smart cities by enhancing sustainability, security, and efficiency in the industrial and agricultural sectors through the use of IoT, blockchain, AI, and new communication technologies like 5G.
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