This chapter looks at ways in which male circular migration as a household livelihood strategy affects food access among rural households in India. Circular male labour migration is the dominant form of labour mobility in many parts of India. This migration pattern creates important rural-urban linkages through income transfers and alters within-household gender power relations.
Recent archaeological discoveries in Tamil Nadu reveal South India as an early hub of iron smelting, challenging historical timelines. Excavations at sites like Adichanallur and Sivagalai uncover advanced Iron Age culture,
Anthropogenic greenhouse gas emissions significantly impact the middle and upper atmosphere. They cause cooling and thermal shrinking and affect the atmospheric structure. Atmospheric contraction results in changes in key atmospheric features, such as the stratopause height or the peak ionospheric electron density, and also results in reduced thermosphere density. These changes can impact, among others, the lifespan of objects in low Earth orbit, refraction of radio communication and GPS signals, and the peak altitudes of meteoroids entering the Earth's atmosphere.
This study explores the realm of chaotic dynamics, Neurochaos Learning (a brain-inspired machine learning paradigm) and Normal numbers, focusing on the introduction of a novel chaotic trajectory termed the Universal Orbit. The study investigates the characteristics and generation of universal orbits within two prominent chaotic maps: the Decimal Shift Map and the Gauss Map. It explores the set of points capable of forming such orbits, revealing connections with normal numbers and continued fractions.
Inspired by the human brain's structure and function, Artificial Neural Networks (ANN) were developed for data classification. However, existing Neural Networks, including Deep Neural Networks, do not mimic the brain's rich structure. They lack key features such as randomness and neuron heterogeneity, which are inherently chaotic in their firing behavior. Neurochaos Learning (NL), a chaos-based neural network, recently employed one-dimensional chaotic maps like Generalized Lüroth Series (GLS) and Logistic map as neurons.
There is a vast and ever-accumulating amount of behavioural data on individually recognised animals, an incredible resource to shed light on the ecological and evolutionary drivers of variation in animal behaviour. Yet, the full potential of such data lies in comparative research across taxa with distinct life histories and ecologies. In this multi-author paper, we introduce MacaqueNet, a global collaboration of over 100 researchers (https://macaquenet.github.io/) aimed at unlocking the wealth of cross-species data for research on macaque social behaviour.
Large-sized nuclear power plant (NPP) units with a rated capacity of 700 MWe or more are crucial for the civilian nuclear sector since they enable efficient land utilization, and provide economies of scale, facilitating rapid capacity enhancement. However, since commercial nuclear reactors are envisaged to supply clean and affordable baseload power to the utilities, the possible technological options should be evaluated in detail through a multi-disciplinary lens.
In this paper, we explore the relationship between sustainable energy consumption and human well-being. We estimate energy sufficiency levels for achieving Equitable Development Levels (EDL) using the quadratic plateau (QP) model for fourteen development variables related to health, education, and infrastructure for the period between 1990 and 2017. Our results show that the energy threshold necessary for securing key developmental targets is 70 GJ person−1 year−1.
This study aims to generate a comprehensive picture of the Nature Walks (NW), an informal public-involved science communication programme, conducted in India by integrating the results of newspaper analysis, internet and social media studies, examination of academic publications and participatory studies.