Microbiota transplantation for cotton leaf curl disease suppression-core microbiome and transcriptome dynamics.

Microbiota transplantation is a strong tool for managing plant disease. This study investigates the effects of microbiota transplantation on Cotton Leaf Curl Disease (CLCuD) resistance in Gossypium hirsutum, a species with good fiber length but high susceptibility to biotic stresses. Using metabarcoding for V3-V4 16S rRNA gene amplicon, microbial fractions from both rhizosphere and phyllosphere of CLCuD-resistant species Gossypium arboreum, and susceptible cotton varieties are analyzed.

One-shot learning for generalization in medical image classification across modalities.

Generalizability is one of the biggest challenges hindering the advancement of medical sensing technologies across multiple imaging modalities. This issue is further impaired when the imaging data is limited in scope or of poor quality. To tackle this, we propose a generalized and robust, lightweight one-shot learning method for medical image classification across various imaging modalities, including X-ray, microscopic, and CT scans.

Using a Longformer Large Language Model for Segmenting Unstructured Cancer Pathology Reports.

Purpose: Many Natural Language Processing (NLP) methods achieve greater performance when the input text is preprocessed to remove extraneous or unnecessary text. A technique known as text segmentation can facilitate this step by isolating key sections from a document. Give that transformer models-such as Bidirectional Encoder Representations from Transformers (BERT)-have demonstrated state-of-the-art performance on many NLP tasks, it is desirable to leverage such models for segmentation.

Optimising Initial Pain Management and its Influence on Compliance and Treatment Abandonment in Newly Diagnosed Head-and-Neck Cancer Patients: A Real-world Experience.

Objectives: Improper pain management is a significant contributing factor and a potential correctable factor for low cure rates of head-and-neck cancer (HNC) patients. This study aims to assess the significance of the Quantitative Improvement Programme (QIP) in evaluating pain levels and its correlation with treatment compliance in recently diagnosed HNC patients undergoing curative treatment at a surgical oncology outpatient department (OPD). The study was conducted from January 2022 to August 2023 at a tertiary cancer care centre in Northeast India.

Comparative Metabolite Profiling Between and Other by Untargeted UHPLC-MS/MS.

is a second-class, nationally protected, medicinal fungi and serves as a functional nutrient in China. is extremely scarce due to its peculiar growing environment and the extensive gathering practices carried out by humans. A large number of counterfeit products for this fungi have also emerged in the market.