Tracing spatiotemporal changes in agricultural and non-agricultural trade networks of India.

The evolving international economic instability and international trade relationship demand a nation to move towards a self-reliant integrated system at a sub-national scale to address the growing human needs. Given India's role in the global trade network, it is critical to explore the underlying extensive complex trade network at the domestic scale. The potential advantages of complex interaction among the different commodities remain unexplored despite the known importance of trade networks in maintaining food security and industrial sustainability.

Fully convolutional network for automated detection and diagnosis of mammographic masses.

Breast cancer, though rare in male, is very frequent in female and has high mortality rate which can be reduced if detected and diagnosed at the early stage. Thus, in this paper, deep learning architecture based on U-Net is proposed for the detection of breast masses and its characterization as benign or malignant. The evaluation of the proposed architecture in detection is carried out on two benchmark datasets- INbreast and DDSM and achieved a true positive rate of 99.

A novel polyherbal microbicide with inhibitory effect on bacterial, fungal and viral genital pathogens.

A polyherbal cream (Basant) has been formulated using diferuloylmethane (curcumin), purified extracts of Emblica officinalis (Amla), purified saponins from Sapindus mukorossi, Aloe vera and rose water along with pharmacopoeially approved excipients and preservatives. Basant inhibits the growth of WHO strains and clinical isolates of Neisseria gonorrhoeae, including those resistant to penicillin, tetracycline, nalidixic acid and ciprofloxacin. It has pronounced inhibitory action against Candida glabrata, Candida albicans and Candida tropicalis isolated from women with vulvovaginal candidiasis, including three isolates resistant to azole drugs and amphotericin B.