Right data, wrong data: Statistical sampling and the making of modern agriculture in India.

The size of India's food deficit became a pressing question for the Indian state in the early years of independence. As different organizations, government bodies, and individuals debated over the ways, means, and expertise needed to tide over the food crisis, policymakers realized that the primary requirement was to have a numerical understanding of the problem. Data became crucial to accurately assess production trends and compare them with requirements.

Pregnancy with Wilson's Disease: A Case Series.

Wilson's disease is an autosomal recessive disorder that affects copper transport due to deficiency of ceruloplasmin and causes deposition of copper mainly in the liver, brain and cornea. It causes hepatic and/or neuropsychiatric manifestations. This copper deposition causes cirrhosis of the liver, encephalopathy and liver failure.

Multiple Instance Learning for WSI: A comparative analysis of attention-based approaches.

Whole slide images (WSI), obtained by high-resolution digital scanning of microscope slides at multiple scales, are the cornerstone of modern Digital Pathology. However, they represent a particular challenge to artificial intelligence (AI)-based/AI-mediated analysis because pathology labeling is typically done at slide-level, instead of tile-level. It is not just that medical diagnostics is recorded at the specimen level, the detection of oncogene mutation is also experimentally obtained, and recorded by initiatives like The Cancer Genome Atlas (TCGA), at the slide level.

Generalized Hydrodynamic Description of the Page Curve-like Dynamics of a Freely Expanding Fermionic Gas.

We consider an analytically tractable model that exhibits the main features of the Page curve characterizing the evolution of entanglement entropy during evaporation of a black hole. Our model is a gas of noninteracting fermions on a lattice that is released from a box into the vacuum. More precisely, our Hamiltonian is a tight-binding model with a defect at the junction between the filled box and the vacuum.

The first report on emerged microplastics in deep-sea sediment: Insights from the Central Indian Ocean Basin.

Microplastics (MPs, <5 mm) are widespread in coastal ecosystems and pose a growing global concern; however, their presence in deep-sea environments remains underexplored, especially in the Indian region. This study addresses this gap by providing the first comprehensive documentation of MPs in the Central Indian Ocean Basin (CIOB) at a depth of 5000 m, marking the initial effort to assess their presence and abundance in deep-sea core samples. The study investigated the MP concentration, composition and potential sources, revealing a size range between 10 μm and 4900 μm, with average abundances recorded at BC20 (10.