Drivers of Nutritional Change in Pakistan: A Decomposition Analysis.

The global reduction in child undernutrition highlights the international and national commitment to prioritizing future generations' health. This study aims to find out the previous trends in nutrition and the key drivers of these changes in different regions of Pakistan. For empirical investigation, we employed a regression-based decomposition model by using two distinct rounds of demographic and health surveys: 2012-13 and 2017-18.

Selective Deeply Supervised Multi-Scale Attention Network for Brain Tumor Segmentation.

Brain tumors are among the deadliest forms of cancer, characterized by abnormal proliferation of brain cells. While early identification of brain tumors can greatly aid in their therapy, the process of manual segmentation performed by expert doctors, which is often time-consuming, tedious, and prone to human error, can act as a bottleneck in the diagnostic process. This motivates the development of automated algorithms for brain tumor segmentation.

Dual-Stage Deeply Supervised Attention-Based Convolutional Neural Networks for Mandibular Canal Segmentation in CBCT Scans.

Accurate segmentation of mandibular canals in lower jaws is important in dental implantology. Medical experts manually determine the implant position and dimensions from 3D CT images to avoid damaging the mandibular nerve inside the canal. In this paper, we propose a novel dual-stage deep learning-based scheme for the automatic segmentation of the mandibular canal.

Pathways and Associations between Women's Land Ownership and Child Food and Nutrition Security in Pakistan.

Women's land ownership plays a noteworthy role in improving various development indicators, including her own wellbeing and children's food and nutrition security. However, the literature linking women's access to land rights to the nutritional security of children in Pakistan is limited, even though it is a country facing enormous challenges of childhood malnutrition and gender discrimination. This paper contributes to the existing literature on the benefits of empowering women by studying the association and pathways between women's land rights and child nutrition, using the 2012-2013 Pakistan Demographic and Health Survey.