Network Pharmacology-driven therapeutic interventions for Interstitial Lung Diseases using Traditional medicines: A Narrative Review.

This review explores the progressive domain of network pharmacology and its potential to revolutionize therapeutic approaches for Interstitial Lung Diseases (ILDs), a collective term encompassing Interstitial Pneumonia, Pneumoconiosis, Connective Tissue Disease-related ILDs, and Sarcoidosis. The exploration focuses on the profound legacy of traditional medicines, particularly Ayurveda and Traditional Chinese Medicines (TCM), and their largely unexplored capacity in ILD treatment. These ancient healing systems, characterized by their holistic methodologies and multifaceted treatment modalities, offer a promising foundation for discovering innovative therapeutic strategies.

Developing assessment flow for damage estimation of mud housing typology through a case study against coastal floods.

Rising instances of prolonged inundation due to climate-aggravated high tide flooding are economically burdensome for resource-crunched developing nations that bear enormous damage due to loss of built infrastructure (housing in this case). Regardless of the loss, coastal flood impact on buildings is rarely given precedence. The mud building typology in India captures 34% of existing housing demand primarily within ruralIndia; for instance, 75% of the housing in Sagar Island uses mud as the dominant construction material, making it an ideal case for the proposed research.

Micro level analyses of environmentally disastrous urbanization in Bangalore.

Indian metropolitan (tier I) cities have been undergoing rapid urbanization during the post-globalization era with the unprecedented market interventions, which have led to the rapid land cover changes affecting the ecology, climate, hydrology, and local environment. The unplanned urbanization has given way to the dispersed, haphazard growth at the city outskirts with the lack of basic amenities and infrastructure as the planners lack advance information of sprawl regions. This has necessitated understanding and visualization of urbanization patterns for planning towards sustainable cities.

Geo-visualization of landscape dynamics in the proposed mega industrial corridor.

Urbanization is associated with large-scale irreversible landscape changes in response to the demands of burgeoning population, etc. Lack of basic amenities, job, and infrastructures in rural areas often drives migration towards the urbanizing landscapes. Urbanization is resource centric, which involves, large-scale transformation of the landscape with the irreversible impacts on the regional ecology, hydrology, and environment, which is evident from large-scale land cover changes leading to deforestation, encroachment of lakes/water bodies, forest, and farmlands, conversion of agriculture landscapes, etc.

The successive projection algorithm as an initialization method for brain tumor segmentation using non-negative matrix factorization.

Non-negative matrix factorization (NMF) has become a widely used tool for additive parts-based analysis in a wide range of applications. As NMF is a non-convex problem, the quality of the solution will depend on the initialization of the factor matrices. In this study, the successive projection algorithm (SPA) is proposed as an initialization method for NMF.