21 hasil untuk "Prashant Kumar"
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Designing vegetation barriers for urban air pollution abatement: a practical review for appropriate plant species selection
Abstract Vegetation can form a barrier between traffic emissions and adjacent areas, but the optimal configuration and plant composition of such green infrastructure (GI) are currently unclear. We examined the literature on aspects of GI that influence ambient air quality, with a particular focus…
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Natural ventilation in warm climates: The challenges of thermal comfort, heatwave resilience and indoor air quality
In buildings, energy is primarily consumed by mechanical air conditioning systems. Low energy alternatives, such as natural ventilation, are needed. However, they need to be able to cope with increasing heatwaves and pollution, particularly in warm climates. This review paper looked at the ability…
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Water Quality Assessment in Terms of Water Quality Index
Water quality index (WQI) is valuable and unique rating to depict the overall water quality status in a single term that is helpful for the selection of appropriate treatment technique to meet the concerned issues. However, WQI depicts the composite influence of different water quality parameters…
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Borophene: New Sensation in Flatland
Abstract Borophene, a 2D allotrope of boron and the lightest elemental Dirac material, is the latest very promising 2D material owing to its unique structural and electronic characteristics of the X 3 and β 12 phases. The high atomic density on ridgelines of the β 12 phase of borophene provides a…
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Iron homeostasis in plants and its crosstalk with copper, zinc, and manganese
Micronutrients like copper (Cu), manganese (Mn), Iron (Fe), and Zinc (Zn) are essential for plants, and their functions are tightly linked for vital metabolism. The normal concentration range for each of these metals in the plant is narrow, with both deficiencies and excesses causing severe…
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Green infrastructure for air quality improvement in street canyons
Street canyons are generally highly polluted urban environments due to high traffic emissions and impeded dispersion. Green infrastructure (GI) is one potential passive control system for air pollution in street canyons, yet optimum GI design is currently unclear. This review consolidates findings…
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A Machine Learning-Based Big EEG Data Artifact Detection and Wavelet-Based Removal: An Empirical Approach
The electroencephalogram (EEG) signals are a big data which are frequently corrupted by motion artifacts. As human neural diseases, diagnosis and analysis need a robust neurological signal. Consequently, the EEG artifacts’ eradication is a vital step. In this research paper, the primary motion…
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Emerging Trends of Carbon‐Based Quantum Dots: Nanoarchitectonics and Applications
Carbon-based quantum dots (QDs) have emerged as a fascinating class of advanced materials with a unique combination of optoelectronic, biocompatible, and catalytic characteristics, apt for a plethora of applications ranging from electronic to photoelectrochemical devices. Recent research works have…
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Temporary reduction in fine particulate matter due to ‘anthropogenic emissions switch-off’ during COVID-19 lockdown in Indian cities
The COVID-19 pandemic elicited a global response to limit associated mortality, with social distancing and lockdowns being imposed. In India, human activities were restricted from late March 2020. This ‘anthropogenic emissions switch-off’ presented an opportunity to investigate impacts of COVID-19…
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Recent Advances in Carbon‐Based Electrodes for Energy Storage and Conversion
Carbon-based nanomaterials, including graphene, fullerenes, and carbon nanotubes, are attracting significant attention as promising materials for next-generation energy storage and conversion applications. They possess unique physicochemical properties, such as structural stability and flexibility…
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Indoor air quality and health in schools: A critical review for developing the roadmap for the future school environment
Several research studies have ranked indoor pollution among the top environmental risks to public health in recent years. Good indoor air quality is an essential component of a healthy indoor environment and significantly affects human health and well-being. Poor air quality in such environments…
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Emergence of complexity in hierarchically organized chiral particles
The structural complexity of composite biomaterials and biomineralized particles arises from the hierarchical ordering of inorganic building blocks over multiple scales. Although empirical observations of complex nanoassemblies are abundant, the physicochemical mechanisms leading to their…
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An overview of monitoring methods for assessing the performance of nature-based solutions against natural hazards
To bring to fruition the capability of nature-based solutions (NBS) in mitigating hydro-meteorological risks (HMRs) and facilitate their widespread uptake require a consolidated knowledge-base related to their monitoring methods, efficiency, functioning and the ecosystem services they provide. We…
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Nature-based solutions efficiency evaluation against natural hazards: Modelling methods, advantages and limitations
Nature-based solutions (NBS) for hydro-meteorological risks (HMRs) reduction and management are becoming increasingly popular, but challenges such as the lack of well-recognised standard methodologies to evaluate their performance and upscale their implementation remain. We systematically evaluate…
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Urban heat mitigation by green and blue infrastructure: Drivers, effectiveness, and future needs
The combination of urbanization and global warming leads to urban overheating and compounds the frequency and intensity of extreme heat events due to climate change. Yet, the risk of urban overheating can be mitigated by urban green-blue-grey infrastructure (GBGI), such as parks, wetlands, and…
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Artificial intelligence for geoscience: Progress, challenges, and perspectives
This paper explores the evolution of geoscientific inquiry, tracing the progression from traditional physics-based models to modern data-driven approaches facilitated by significant advancements in artificial intelligence (AI) and data collection techniques. Traditional models, which are grounded…