Development of non-viral targeted RNA delivery vehicles - a key factor in success of therapeutic RNA.

Decade-long efforts in medicinal biotechnology have enabled large-scale in-vitro production of optimised therapeutic RNA constructs for stable in-vivo delivery and modify the expression of disease-related genes. The success of lipid nanoparticle-formulated mRNA vaccines against Severe acute respiratory syndrome Coronavirus-2 (SARS-Cov2) has opened a new era of RNA therapeutics and non-viral drug delivery systems. The major limiting factor in the clinical translation of RNA-based drugs is the availability of suitable delivery vehicles that can protect RNA payloads from degradation, offer controlled release, and pose minimal inherent toxicity.

CRISPR-Cas9 mediated understanding of plants' abiotic stress-responsive genes to combat changing climatic patterns.

Multiple abiotic stresses like extreme temperatures, water shortage, flooding, salinity, and exposure to heavy metals are confronted by crop plants with changing climatic patterns. Prolonged exposure to these adverse environmental conditions leads to stunted plant growth and development with significant yield loss in crops. CRISPR-Cas9 genome editing tool is being frequently employed to understand abiotic stress-responsive genes.

Virtual screening, ADME prediction, drug-likeness, and molecular docking analysis of Fagonia indica chemical constituents against antidiabetic targets.

Fagonia indica from Zygophyllaceae family is a medicinal specie with significant antidiabetic potential. The present study aimed to investigate the in vitro antidiabetic activity of Fagonia indica crude extract followed by an in silico screening of its phytoconstituents. For this purpose, crude extract of Fagonia indica was prepared and divided in three different parts, i.

Multiple Myeloma: A Personal Account of My Journey With the Disease and Response to Teclistamab.

Multiple myeloma (MM) remains an incurable hematologic cancer leading to damage to the bone marrow that causes destructive bone lesions in addition to many other effects. I am a patient with MM who has undergone treatment to date since the diagnosis of this disease in December 2019. This paper reviews the treatments and observations made throughout this period.

A discovery of potent kaempferol derivatives as multi-target medicines against diabetes as well as bacterial infections: an approach.

Flavonoids demonstrate beneficial effects on human health because flavonoids contain important biological properties. Kaempferol is a flavonol, type of flavonoid found in eatable plants and in plants usually employed in ancient drugs (, Tilia spp., fern genus spp.

Combined Experimental and Theoretical Insights: Spectroscopic and Molecular Investigation of Polyphenols from via DFT, UV-vis, and FT-IR Approaches.

This review deals with computational study of polyphenolic compounds of medicinal importance and interest for drug development. Herein, four polyphenolic compounds comprising catechol (), caffeic acid (), gallic acid (), and pyrogallol () have been isolated from a medicinal specie, by applying silica gel column chromatography. These compounds were identified by using gas chromatography-mass spectrometry (GC-MS) analysis and confirmed by geometric computational analysis.

An Enhanced Architecture to Resolve Public-Key Cryptographic Issues in the Internet of Things (IoT), Employing Quantum Computing Supremacy.

The Internet of Things (IoT) strongly influences the world economy; this emphasizes the importance of securing all four aspects of the IoT model: sensors, networks, cloud, and applications. Considering the significant value of public-key cryptography threats on IoT system confidentiality, it is vital to secure it. One of the potential candidates to assist in securing public key cryptography in IoT is quantum computing.

Collaborative Learning Based Sybil Attack Detection in Vehicular AD-HOC Networks (VANETS).

Vehicular Ad-hoc network (VANET) is an imminent technology having both exciting prospects and substantial challenges, especially in terms of security. Due to its distributed network and frequently changing topology, it is extremely prone to security attacks. The researchers have proposed different strategies for detecting various forms of network attacks.

Characterization of English Braille Patterns Using Automated Tools and RICA Based Feature Extraction Methods.

Braille is used as a mode of communication all over the world. Technological advancements are transforming the way Braille is read and written. This study developed an English Braille pattern identification system using robust machine learning techniques using the English Braille Grade-1 dataset.

Multiscale based nonlinear dynamics analysis of heart rate variability signals.

Acceleration change index (ACI) is a fast and easy to understand heart rate variability (HRV) analysis approach used for assessing cardiac autonomic control of the nervous systems. The cardiac autonomic control of the nervous system is an example of highly integrated systems operating at multiple time scales. Traditional single scale based ACI did not take into account multiple time scales and has limited capability to classify normal and pathological subjects.

Microwave-assisted ultrafast in-situ growth of N-doped carbon quantum dots on multiwalled carbon nanotubes as an efficient electrocatalyst for photovoltaics.

Multiwalled carbon nanotubes (MWCNTs) are at the forefront of metal-free electrocatalysts, however, the performance is still limited due to lack of functionality and dispersion. Coupling of MWCNTs with nitrogen doped carbon quantum dots (NCQDs) can impart the required active sites and dispersion. For the purpose, NCQDs are generally attached to MWCNTs by multistep processing, such as NCQDs synthesis, followed by their complex purification, surface activation, and crosslinking with MWCNT.

PHND: Pashtu Handwritten Numerals Database and deep learning benchmark.

In this paper we introduce a real Pashtu handwritten numerals dataset (PHND) having 50,000 scanned images and make publicly available for research and scientific use. Although more than fifty million people in the world use this language for written and oral communication, no significant efforts are devoted to the Pashtu Optical Character Recognition (POCR). We present a new approach for Pahstu handwritten numerals recognition (PHNR) based on deep neural networks.

Layer-by-Layer Self-Assembly of Hollow Nitrogen-Doped Carbon Quantum Dots on Cationized Textured Crystalline Silicon Solar Cells for an Efficient Energy Down-Shift.

Enhancing the efficiency of the crystalline silicon solar cell (c-Si SC) by coating the energy shifting layer with quantum dots (QDs) is a recent approach to efficiently utilize the high-energy spectrum of light. Carbon QDs are an attractive candidate for such applications; however, a small Stokes shift and nonuniform coating due to high aggregation are the bottlenecks to fully utilize their potential. For this purpose, here, we propose a layer-by-layer self-assembled uniform coating of eco-friendly red-emissive hollow nitrogen-doped carbon QDs (NR-CQDs) as an efficient energy-down-shifting layer.

Self-assembled nanomanipulation of silica nanoparticles enable mechanochemically robust super hydrophobic and oleophilic textile.

Hypothesis: Non-wettable fabric surfaces with excellent mechanochemical robustness for practical applications have attracted much attention from researchers in recent years. However, such surfaces suffer from stability issues when exposed to harsh environments because of the weak bonding of the functional materials.

Experiments: A unique facile approach is proposed to enhance the adhesion strength and hydrophobicity by improving the hierarchal roughness and opposite charge attraction using alkali and cationized bovine serum albumin (cBSA) respectively.

Highly porous self-assembly of nitrogen-doped graphene quantum dots over reduced graphene sheets for photo-electrocatalytic electrode.

Nitrogen-doped graphene quantum dots (NGQDs) are a diverse organic catalyst, competitive with other metallic catalysts due to their low cost, high stability, biocompatibility, and eco-friendliness. Highly functional multi-edge surfaces of NGQDs play a key role in imparting superb photocatalytic and electrocatalytic activity. However, when coating NGQDs by conventional techniques, such surfaces are not exposed for catalysis, due to the unwanted overlap of NGQDs sheets.