Multilingual Virtual Healthcare Assistant.

This study proposes a virtual healthcare assistant framework designed to provide support in multiple languages for efficient and accurate healthcare assistance. The system employs a transformer model to process sophisticated, multilingual user inputs and gain improved contextual understanding compared to conventional models, including long short-term memory (LSTM) models. In contrast to LSTMs, which sequence processes information and may experience challenges with long-range dependencies, transformers utilize self-attention to learn relationships among every aspect of the input in parallel.

CRISPR/Cas9: efficient and emerging scope for Brassica crop improvement.

CRISPR/Cas9 revolutionizes Brassica crop improvement by enhancing yield, quality, and stress resistance, providing a precise and versatile tool for genetic and agronomic advancements. The rapidly advancing CRISPR/Cas9 (Clustered regularly interspaced short palindromic repeats/CRISPR associated protein 9) technologies are being employed in both diploid and polyploid species of Brassica for gene functions and precise genetic improvements. CRISPR/Cas technology has sparked significant attention among the scientific community due to its affordability, precision, and effectiveness compared to other genome editing techniques.

Heavy metals and ethylene: shaping plant responses through signaling.

Heavy metal (HM) contamination is an escalating global issue, significantly affecting crop quality and productivity, and this problem is further exacerbated by rapid population growth. HMs impact plant productivity by interfering with a range of morphologic, biochemical, physiologic, and molecular functions, as documented in numerous studies. Upon entry into plant cells, these metals compromise cell membrane integrity, induce reactive oxygen species production in excess, disrupt enzymatic activities, damage photosynthetic pigments and photosystems, and disturb water and nutrient uptake mechanisms.

Potential gene editing targets for developing haploid inducer stocks in rice and wheat with high haploid induction frequency.

Unlabelled: Doubled haploid (DH) breeding is a powerful technique to ensure global food security via accelerated crop improvement. DH can be produced by employing haploid inducer stock (HIS). Widely used HIS in maize is known to be governed by , , and  genes.

VGG-COVIDNet: A Novel model for COVID detection from X-Ray and CT Scan images.

In this research work, a new deep learning model named VGG-COVIDNet has been proposed which can classify COVID-19 cases from normal cases over X-Rays and CT scan images of lungs. Medical practitioners use the X-Rays and CT scan images of lungs to identify whether a person is infected from COVID or not. In present times, it is very important to give real time COVID prediction with high reliability of results.

Unlocking the hidden variation from wild repository for accelerating genetic gain in legumes.

The fluctuating climates, rising human population, and deteriorating arable lands necessitate sustainable crops to fulfil global food requirements. In the countryside, legumes with intriguing but enigmatic nitrogen-fixing abilities and thriving in harsh climatic conditions promise future food security. However, breaking the yield plateau and achieving higher genetic gain are the unsolved problems of legume improvement.

Lung Disease Classification in CXR Images Using Hybrid Inception-ResNet-v2 Model and Edge Computing.

Chest X-ray (CXR) imaging is one of the most widely used and economical tests to diagnose a wide range of diseases. However, even for expert radiologists, it is a challenge to accurately diagnose diseases from CXR samples. Furthermore, there remains an acute shortage of trained radiologists worldwide.