Assessing the impact of railway noise on human health and daily life: a structural equation model approach for transportation and environmental planning.

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.

Reduction of Z alpha-1 antitrypsin polymers in human iPSC-hepatocytes and mice by LRRK2 inhibitors.

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).

Acoustic performance evaluation of railway boundary walls using a computational fluid dynamics-based simulation approach.

Railway noise has become a significant concern for trackside residents due to increased volume of high-speed passenger and freight train traffic. To address this, active measures, such as reducing noise at the source, and passive measures, such as installing noise barriers along the transmission path, are widely being used. In urban areas, railway boundary walls are constructed to prevent encroachments of railway lands and to avoid pedestrian trespassing of railway tracks.

Quantifying the influence of transmission path characteristics on urban railway noise.

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.

Use of artificial neural networks to assess train horn noise at a railway level crossing in India.

Urban environment noise is a complex mixture of transportation, industrial, household, and recreational noise, which is identified as an emerging environmental threat. Present study monitors and evaluates a noise pollution hotspot: a railway level crossing, where several activities related to transportation noise were involved. Train honking, train movement, road vehicles, and pedestrians contribute to the noise level at a railway level crossing.