Publications by authors named "V Satavahana Chowdary"

Rapid urbanization has led to unplanned settlements near railway lines, exposing residents to continuous noise pollution with potential adverse effects on health. This study focuses on the environmental monitoring and assessment of railway noise pollution in urban areas and its impact on human health and daily activities. Noise levels were quantified across different residential zones using precise sound level meters, and a detailed human perception survey was conducted to assess the relationship between noise exposure, annoyance, and health disturbances.

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Background: Alpha-1 antitrypsin deficiency (A1ATD) is a life-threatening condition caused by the inheritance of the serpin family A member 1 "Z" genetic variant driving alpha-1 antitrypsin (AAT) protein misfolding in hepatocytes. There are no approved medicines for this disease.

Methods: We conducted a high-throughput image-based small molecule screen using patient-derived induced pluripotent stem cell-hepatocytes (iPSC-hepatocytes).

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Article Synopsis
  • Railway noise is a growing issue for residents near train tracks due to increased high-speed train traffic, prompting the use of both active and passive noise reduction measures.
  • A study evaluated the effectiveness of railway boundary walls in reducing noise by simulating various barrier designs using computational fluid dynamics (CFD), measuring noise levels at different locations.
  • Results showed that taller barriers significantly reduce noise, with a T-shaped barrier of 6 m height achieving the highest noise reduction of 22 dBA, suggesting softer materials for better sound absorption could enhance their effectiveness.
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Every ambient noise study employs the source-path-receiver structure to explore the overall behaviour of sound. Noise levels are affected by changes in distance, intervening barriers, and atmospheric conditions along the transmission path between the source and the receiver. The objective of this study is to quantify the influence of transmission path characteristics for a realistic time-varying moving line source.

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Article Synopsis
  • Urban noise pollution, which includes sounds from transportation, industry, households, and recreation, is identified as a growing environmental concern, especially at a busy railway level crossing.
  • The study specifically monitors noise levels caused by train horns, train movements, road vehicles, and pedestrians, highlighting the need to assess the effectiveness of train horns that, while necessary for safety, can be disruptive to nearby residents.
  • An artificial neural network (ANN) model was developed to accurately predict noise levels from trains, assisting urban planners in creating policies to minimize noise pollution's impact on communities.
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