Results 31 to 40 of about 9,897,312 (274)

Real-time air pollution monitoring with sensors on city bus

open access: yesDigital Communications and Networks, 2020
This paper presents an experimental study on real-time air pollution monitoring using wireless sensors on public transport vehicles. The study is part of the GreenIoT project in Sweden, which utilizes Internet-of-Things to measure air pollution level in ...
Sami Kaivonen, Edith C.-H. Ngai
doaj   +1 more source

Multi-Sensor Platform for Predictive Air Quality Monitoring

open access: yesSensors, 2023
Air quality monitoring is a very important aspect of providing safe indoor conditions, and carbon dioxide (CO2) is one of the pollutants that most affects people’s health. An automatic system able to accurately forecast CO2 concentration can prevent a sudden rise in CO2 levels through appropriate control of heating, ventilation and air-conditioning ...
Gabriele Rescio   +5 more
openaire   +3 more sources

Carbon based sensors for air quality monitoring networks; middle east perspective

open access: yesFrontiers in Chemistry
IoT-based Sensors networks play a pivotal role in improving air quality monitoring in the Middle East. They provide real-time data, enabling precise tracking of pollution trends, informed decision-making, and increased public awareness.
Imran Shahid   +9 more
doaj   +1 more source

Mutual Information Maximization-Based Collaborative Data Collection With Calibration Constraint

open access: yesIEEE Access, 2019
People pay greater attention to air quality which is closely related to their health, especially in developing countries. Air quality is a part of the Chinese weather forecast, and the government has developed air quality monitoring systems and built ...
Bo Zhang   +3 more
doaj   +1 more source

Raw data collected from NO2, O3 and NO air pollution electrochemical low-cost sensors

open access: yesData in Brief, 2022
Recently, the monitoring of air pollution by means of low-cost sensors has become a growing research field due to the study of techniques based on machine learning to improve the sensors’ data quality.
Pau Ferrer-Cid   +2 more
doaj   +1 more source

Peripheral lysosomes recruit PLEKHG3 to focal adhesions and restrain protrusion dynamics

open access: yesFEBS Letters, EarlyView.
Proximity‐dependent labeling at the LAMTOR complex revealed the Rho GEF PLEKHG3 as a lysosome‐proximal protein directing the study toward the influence of lysosome positioning on actin dynamics and cell motility. We show that PLEKHG3 colocalizes with lysosomes at focal adhesion sites and observe that forced peripheral dispersion of lysosomes hinders ...
Rainer Ettelt   +8 more
wiley   +1 more source

Liver organoids: modelling complexity in homeostasis and disease

open access: yesFEBS Letters, EarlyView.
Studying liver in vitro has been challenging because simple 2D cell cultures fail to capture liver's cellular and architectural complexity. To bridge this gap, scientists increasingly use organoids, 3D liver models which better mimic liver composition and function. This review examines recent advances in liver organoid complexity and realism, discusses
Anna M. Dowbaj, Meritxell Huch
wiley   +1 more source

Joint Statement on new opportunities for air quality sensing - lower-cost sensors for public authorities and citizen science initiatives [PDF]

open access: yesResearch Ideas and Outcomes, 2019
Low-cost air quality sensors continue to spread. While their measurement quality does not compete with high-end instrumentation deployed in official air quality monitoring stations, they have a great potential to complement existing air quality ...
Sven Schade   +5 more
doaj   +7 more sources

A concept of the air quality monitoring system in the city of Lublin with machine learning methods to detect data outliers

open access: yesMATEC Web of Conferences, 2019
This paper presents a concept of the air quality monitoring system design and describes a selection of data quality analysis methods. A high level of industrialisation affects the risk of natural disasters related to environmental pollution such as e.g ...
Cieplak Tomasz   +2 more
doaj   +1 more source

Functional comparison of EncB and EncC cargo proteins in iron storage within the Myxococcus xanthus encapsulin

open access: yesFEBS Letters, EarlyView.
Encapsulins are protein nanocompartments that play an important role in iron storage. In the Myxococcus xanthus encapsulin system, two cargo proteins called EncB and EncC contribute to iron mineralization. Here, we show that EncB and EncC generate iron‐containing minerals with distinct chemical compositions, suggesting that the composition of stored ...
Harry B. McDowell   +2 more
wiley   +1 more source

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