Background: Text summarization is a challenging problem in Natural Language Processing, which involves condensing the content of textual documents without losing their overall meaning and information content, In the domain of bio-medical research, summaries are critical for efficient data analysis and information retrieval. While several bio-medical text summarizers exist in the literature, they often miss out on an essential text aspect: text semantics.
Results: This paper proposes a novel extractive summarizer that preserves text semantics by utilizing bio-semantic models.
In the present work, an investigation was performed based on the genera and species stated in Palmer pollution index to show the extent of organic pollution in the surface water of the Tawi watershed in the Jammu province of the Union Territory of Jammu and Kashmir using algal pollution indices. Sampling was carried out for two seasons, pre-monsoon (PRM) and post-monsoon (POM), at 16 locations distributed over the entire Tawi watershed. The physico-chemical variables like water temperature, pH, electrical conductivity, TDS, total alkalinity, total hardness, DO, BOD, COD, nitrate, and phosphate were analyzed.
View Article and Find Full Text PDFThis research trial is aimed to study the nutritional qualities and significance of feeding spent marigold flower meal (SMFM) in goats. SMFM and diet containing iso-nitrogenous concentrate mixture with different levels of spent marigold flower meal (0-30%) were studied for in vitro degradation. Depending upon the in vitro results, concentrate mixture containing 15% level of SMFM was selected for in vivo trial.
View Article and Find Full Text PDFPollution-free rivers give indication of a healthy ecosystem. The stretch of Tawi river particularly in the Jammu city is experiencing pollution load and the quality is degraded. The present study highlights the impact of COVID-19 lockdown on the water quality of Tawi river in Jammu, J&K Union Territory.
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