Publications by authors named "R Krishna Murthy"
Context: Patients recovering from coronavirus disease 2019 (COVID-19) infection continue to have some persistent symptoms or develop new symptoms, resulting in impairment of everyday activities beyond the initial acute period. The current study was undertaken to understand the long term health implications of covid 19 and to analyse the correlation of post covid symptoms with the severity of infection and inflammatory markers at the time of hospitalisation.
Aims: (1) To estimate the prevalence of post covid symptoms at the end of 1 month,3 months and 12 months after discharge, (2) To correlate post covid symptoms with the severity of infection and inflammatory markers at the time of hospitalisation.
Article Synopsis
- The STCR (Soil Test Crop Response) approach enhances agricultural productivity and soil health by optimizing fertilizer use, which is crucial for food security while minimizing environmental harm.
- A long-term study conducted in India examined the effects of STCR-based fertilizer recommendations combined with farmyard manure on the yields of various crops, including soybean and aerobic rice.
- Results indicated that this method significantly increased crop yields and improved soil fertility compared to traditional fertilizer strategies, demonstrating better nutrient uptake and overall soil quality.
Background and objective Palatal depth is significant as it impacts the intra-arch dimensions in patients with Angle's Class II Division 1 malocclusion. Hence, understanding this relationship is crucial for developing targeted orthodontic treatment plans, to optimize dental alignment and overall facial aesthetics. This study aimed to compare the arch length, intercanine width, intermolar width, and interalveolar width in patients with Class II Division 1 malocclusion with deep palates and those with shallow palates.
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- Large language models learn language patterns through statistical methods, while ontologies provide symbolic knowledge that can enhance these models; both can work together effectively.
- The MaterioMiner dataset links materials mechanics concepts with textual data, featuring 179 classes annotated by three raters across four publications, leading to a total of 2191 curated entities.
- The study also evaluates annotation consistency among raters and demonstrates how pre-trained language models can be fine-tuned for named entity recognition, paving the way for advances in materials language models and knowledge graph creation.