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  1. Article ; Online: Indoor-Generated PM

    Mousavi, Amirhosein / Wu, Jun

    Environmental science & technology

    2021  Volume 55, Issue 9, Page(s) 5648–5656

    Abstract: Although evidences showed an overall reduction in outdoor air pollution levels across the globe due to COVID-19-related lockdown, no comprehensive assessment was available for indoor air quality during the period of stay-at-home orders, despite that the ... ...

    Abstract Although evidences showed an overall reduction in outdoor air pollution levels across the globe due to COVID-19-related lockdown, no comprehensive assessment was available for indoor air quality during the period of stay-at-home orders, despite that the residential indoor environment contributes most to personal exposures. We examined temporal and diurnal variations of indoor PM
    MeSH term(s) Air Pollutants/analysis ; Air Pollution, Indoor/analysis ; COVID-19 ; California ; Communicable Disease Control ; Environmental Monitoring ; Humans ; Particle Size ; Particulate Matter/analysis ; SARS-CoV-2
    Chemical Substances Air Pollutants ; Particulate Matter
    Language English
    Publishing date 2021-04-19
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ISSN 1520-5851
    ISSN (online) 1520-5851
    DOI 10.1021/acs.est.0c06937
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: An improved hybrid thermal management system for prismatic Li-ion batteries integrated with mini-channel and phase change materials

    Mousavi, Sepehr / Zadehkabir, Amirhosein / Siavashi, Majid / Yang, Xiaohu

    Applied Energy. 2023 Mar., v. 334 p.120643-

    2023  

    Abstract: Battery thermal management systems play a significant role in the safety, performance, and maintenance of electric vehicles. This paper proposes a new hybrid cooling system incorporated with phase change material (PCM) and liquid cooling to achieve high ... ...

    Abstract Battery thermal management systems play a significant role in the safety, performance, and maintenance of electric vehicles. This paper proposes a new hybrid cooling system incorporated with phase change material (PCM) and liquid cooling to achieve high performance and safety for the pack of prismatic batteries. Each four battery cells are grouped as a module and placed between vertically orientated mini-channel cold plates. PCM plates are also placed horizontally between the battery cells. This new design is simple enough to be implemented easily in common cooling systems and could provide parallel cooling of the active and passive methods with subsequent improvement in thermal performance and system safety. Three-dimensional numerical simulations are validated against previous empirical and numerical works. The thermal performance, power consumption, and safety of the hybrid cooling systems are investigated in a variety of battery discharge rates and mini-channel inlet velocities using different numbers of PCM plates. Also, the system performance is tested in a real driving cycle. This new design could notably improve the battery thermal management characteristics. The maximum battery temperatures in the hybrid system with three PCM plates at 2C and 3C discharge rates were 5.6 K and 16.2 K lower than those without PCM plates. Besides, adding three PCM plates reduced the temperature difference by up to 33 % at 3C discharge rate. Another key finding was that at 3C discharge rate, by simultaneously utilizing three PCM plates and decreasing the fluid inlet velocity, the power consumption per battery cell is reduced by 68 % (from 1.187 mW to 0.0375 mW). Furthermore, considering the PCM plates as the emergency backup, the time to reach the critical temperature increased by 38 % and 105 % in the systems with 1 and 3 PCM plates, respectively. Testing in a real driving cycle reveals the superiority of the hybrid system over the active cooling method by peak shaving of the thermal loads and reducing thermal fluctuations and maximum temperature. This novel design for battery thermal management could provide high performance for batteries and reduce fabrication and maintenance costs.
    Keywords batteries ; cold ; cooling ; energy ; energy use and consumption ; liquids ; management systems ; phase transition ; temperature ; Battery thermal management system (BTMS) ; Mini channel cold plate ; phase change material (PCM) ; Hybrid cooling system ; Battery cooling
    Language English
    Dates of publication 2023-03
    Publishing place Elsevier Ltd
    Document type Article ; Online
    ZDB-ID 2000772-3
    ISSN 0306-2619
    ISSN 0306-2619
    DOI 10.1016/j.apenergy.2023.120643
    Database NAL-Catalogue (AGRICOLA)

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  3. Article ; Online: Socioeconomic Disparities of Low-Cost Air Quality Sensors in California, 2017-2020.

    Sun, Yi / Mousavi, Amirhosein / Masri, Shahir / Wu, Jun

    American journal of public health

    2022  Volume 112, Issue 3, Page(s) 434–442

    Abstract: Objectives. ...

    Abstract Objectives.
    MeSH term(s) Air Pollutants/analysis ; Air Pollution/analysis ; California/epidemiology ; Cardiovascular Diseases/epidemiology ; Environmental Exposure/analysis ; Ethnic and Racial Minorities/statistics & numerical data ; Humans ; Particulate Matter/analysis ; Residence Characteristics/statistics & numerical data ; Sociodemographic Factors ; Vehicle Emissions/analysis
    Chemical Substances Air Pollutants ; Particulate Matter ; Vehicle Emissions
    Language English
    Publishing date 2022-02-22
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 121100-6
    ISSN 1541-0048 ; 0090-0036 ; 0002-9572
    ISSN (online) 1541-0048
    ISSN 0090-0036 ; 0002-9572
    DOI 10.2105/AJPH.2021.306603
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Evaluation of a high flow rate electrostatic precipitator (ESP) as a particulate matter (PM) collector for toxicity studies.

    Pirhadi, Milad / Mousavi, Amirhosein / Sioutas, Constantinos

    The Science of the total environment

    2020  Volume 739, Page(s) 140060

    Abstract: In this study, we investigated the performance of an electrostatic precipitator (ESP) operating at high flow rates (i.e., 50-100 lpm) as a fine particulate matter ( ... ...

    Abstract In this study, we investigated the performance of an electrostatic precipitator (ESP) operating at high flow rates (i.e., 50-100 lpm) as a fine particulate matter (PM
    MeSH term(s) Aerosols/analysis ; Air Pollutants/analysis ; Los Angeles ; Particle Size ; Particulate Matter/analysis ; Static Electricity
    Chemical Substances Aerosols ; Air Pollutants ; Particulate Matter
    Language English
    Publishing date 2020-06-08
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 121506-1
    ISSN 1879-1026 ; 0048-9697
    ISSN (online) 1879-1026
    ISSN 0048-9697
    DOI 10.1016/j.scitotenv.2020.140060
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Impact of 4th of July Fireworks on Spatiotemporal PM

    Mousavi, Amirhosein / Yuan, Yiting / Masri, Shahir / Barta, Greg / Wu, Jun

    International journal of environmental research and public health

    2021  Volume 18, Issue 11

    Abstract: Fireworks are often used in celebration, causing short term, extremely high particulate matter air pollution. In recent years, the rapid development and expansion of low-cost air quality sensors by companies such as PurpleAir has enabled an understanding ...

    Abstract Fireworks are often used in celebration, causing short term, extremely high particulate matter air pollution. In recent years, the rapid development and expansion of low-cost air quality sensors by companies such as PurpleAir has enabled an understanding of air pollution at a much higher spatiotemporal resolution compared to traditional monitoring networks. In this study, real-time PM
    MeSH term(s) Air Pollutants/analysis ; Air Pollution/analysis ; COVID-19 ; Communicable Disease Control ; Environmental Monitoring ; Humans ; Particulate Matter/analysis ; Policy ; SARS-CoV-2 ; San Francisco
    Chemical Substances Air Pollutants ; Particulate Matter
    Language English
    Publishing date 2021-05-27
    Publishing country Switzerland
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 2175195-X
    ISSN 1660-4601 ; 1661-7827
    ISSN (online) 1660-4601
    ISSN 1661-7827
    DOI 10.3390/ijerph18115735
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Spatial, geographic, and demographic factors associated with adolescent and youth suicide: a systematic review study.

    Ghadipasha, Masoud / Talaie, Ramin / Mahmoodi, Zohreh / Karimi, Salah Eddin / Forouzesh, Mehdi / Morsalpour, Masoud / Mahdavi, Seyed Amirhosein / Mousavi, Seyed Shahram / Ashrafiesfahani, Shayesteh / Kordrostami, Roya / Dadashzadehasl, Nahid

    Frontiers in psychiatry

    2024  Volume 15, Page(s) 1261621

    Abstract: Background: Suicide is a public health issue and a main cause of mortality among adolescents and the youth worldwide, particularly in developing countries.: Objectives: The present research is a systematic review aiming to investigate the spatial, ... ...

    Abstract Background: Suicide is a public health issue and a main cause of mortality among adolescents and the youth worldwide, particularly in developing countries.
    Objectives: The present research is a systematic review aiming to investigate the spatial, geographical, and demographic factors related to suicide among adolescents and the youth.
    Methods: In this systematic review, two researchers examined PsycINFO, Web of Science, Scopus, and PubMed databases on December 7
    Results: Our findings show that suicide rates are generally higher among men, residents of rural and less densely populated regions, coastal and mountainous regions, natives, 15-29 age group, less privileged populations with social fragmentation, unemployed, divorced or lonely people, those who live in single parent families, people with mental health issues, and those with low levels of education.
    Conclusions: Stronger evidence supports the effects of geographic and demographic variables on youth and adolescent suicide rates as compared with spatial variables. These findings suggest that policy makers take spatial and demographic factors into consideration when health systems allocate resources for suicide prevention, and that national policymakers integrate demographic and geographic variables into health service programs.
    Systematic review registration: https://www.crd.york.ac.uk/prospero/, identifier CRD42023430994.
    Language English
    Publishing date 2024-02-09
    Publishing country Switzerland
    Document type Systematic Review
    ZDB-ID 2564218-2
    ISSN 1664-0640
    ISSN 1664-0640
    DOI 10.3389/fpsyt.2024.1261621
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Comparative Analysis of Machine Learning and Numerical Modeling for Combined Heat Transfer in Polymethylmethacrylate.

    Dehghan Manshadi, Mahsa / Alafchi, Nima / Tat, Alireza / Mousavi, Milad / Mosavi, Amirhosein

    Polymers

    2022  Volume 14, Issue 10

    Abstract: This study has compared different methods to predict the simultaneous effects of conductive and radiative heat transfer in a polymethylmethacrylate (PMMA) sample. PMMA is a type of polymer utilized in various sensors and actuator devices. One-dimensional ...

    Abstract This study has compared different methods to predict the simultaneous effects of conductive and radiative heat transfer in a polymethylmethacrylate (PMMA) sample. PMMA is a type of polymer utilized in various sensors and actuator devices. One-dimensional combined heat transfer is considered in numerical analysis. Computer implementation was obtained for the numerical solution of the governing equation with the implicit finite difference method in the case of discretization. Kirchhoff transformation was used to obtain data from a non-linear equation of conductive heat transfer by considering monochromatic radiation intensity and temperature conditions applied to the PMMA sample boundaries. For the deep neural network (DNN) method, the novel long short-term memory (LSTM) method was introduced to find accurate results in the least processing time compared to the numerical method. A recent study derived the combined heat transfer and temperature profiles for the PMMA sample. Furthermore, the transient temperature profile was validated by another study. A comparison proves the perfect agreement. It shows the temperature gradient in the primary positions, which provides a spectral amount of conductive heat transfer from the PMMA sample. It is more straightforward when they are compared with the novel DNN method. Results demonstrate that this artificial intelligence method is accurate and fast in predicting problems. By analyzing the results from the numerical solution, it can be understood that the conductive and radiative heat flux are similar in the case of gradient behavior, but the amount is also twice as high approximately. Hence, total heat flux has a constant value in an approximated steady-state condition. In addition to analyzing their composition, the receiver operating characteristic (ROC) curve and confusion matrix were implemented to evaluate the algorithm's performance.
    Language English
    Publishing date 2022-05-13
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2527146-5
    ISSN 2073-4360 ; 2073-4360
    ISSN (online) 2073-4360
    ISSN 2073-4360
    DOI 10.3390/polym14101996
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Comparative Analysis of Machine Learning and Numerical Modeling for Combined Heat Transfer in Polymethylmethacrylate

    Mahsa Dehghan Manshadi / Nima Alafchi / Alireza Tat / Milad Mousavi / Amirhosein Mosavi

    Polymers, Vol 14, Iss 1996, p

    2022  Volume 1996

    Abstract: This study has compared different methods to predict the simultaneous effects of conductive and radiative heat transfer in a polymethylmethacrylate (PMMA) sample. PMMA is a type of polymer utilized in various sensors and actuator devices. One-dimensional ...

    Abstract This study has compared different methods to predict the simultaneous effects of conductive and radiative heat transfer in a polymethylmethacrylate (PMMA) sample. PMMA is a type of polymer utilized in various sensors and actuator devices. One-dimensional combined heat transfer is considered in numerical analysis. Computer implementation was obtained for the numerical solution of the governing equation with the implicit finite difference method in the case of discretization. Kirchhoff transformation was used to obtain data from a non-linear equation of conductive heat transfer by considering monochromatic radiation intensity and temperature conditions applied to the PMMA sample boundaries. For the deep neural network (DNN) method, the novel long short-term memory (LSTM) method was introduced to find accurate results in the least processing time compared to the numerical method. A recent study derived the combined heat transfer and temperature profiles for the PMMA sample. Furthermore, the transient temperature profile was validated by another study. A comparison proves the perfect agreement. It shows the temperature gradient in the primary positions, which provides a spectral amount of conductive heat transfer from the PMMA sample. It is more straightforward when they are compared with the novel DNN method. Results demonstrate that this artificial intelligence method is accurate and fast in predicting problems. By analyzing the results from the numerical solution, it can be understood that the conductive and radiative heat flux are similar in the case of gradient behavior, but the amount is also twice as high approximately. Hence, total heat flux has a constant value in an approximated steady-state condition. In addition to analyzing their composition, the receiver operating characteristic (ROC) curve and confusion matrix were implemented to evaluate the algorithm’s performance.
    Keywords polymethylmethacrylate ; heat transfer ; heat conduction ; machine learning ; confusion matrix ; polymer ; Organic chemistry ; QD241-441
    Subject code 621
    Language English
    Publishing date 2022-05-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Impact of 4th of July Fireworks on Spatiotemporal PM 2.5 Concentrations in California Based on the PurpleAir Sensor Network

    Amirhosein Mousavi / Yiting Yuan / Shahir Masri / Greg Barta / Jun Wu

    International Journal of Environmental Research and Public Health, Vol 18, Iss 5735, p

    Implications for Policy and Environmental Justice

    2021  Volume 5735

    Abstract: Fireworks are often used in celebration, causing short term, extremely high particulate matter air pollution. In recent years, the rapid development and expansion of low-cost air quality sensors by companies such as PurpleAir has enabled an understanding ...

    Abstract Fireworks are often used in celebration, causing short term, extremely high particulate matter air pollution. In recent years, the rapid development and expansion of low-cost air quality sensors by companies such as PurpleAir has enabled an understanding of air pollution at a much higher spatiotemporal resolution compared to traditional monitoring networks. In this study, real-time PM 2.5 measurements from 751 PurpleAir sensors operating from June to July in 2019 and 2020 were used to examine the impact of 4th of July fireworks on hourly and daily PM 2.5 concentrations at the census tract and county levels in California. American Community Survey (ACS) and CalEnviroScreen 3.0 data were used to identify correlations between PM 2.5 measurements and socioeconomic status (SES). A two-step method was implemented to assure the quality of raw PM 2.5 sensor data and sensor calibration against co-located reference instruments. The results showed that over 67% and 81% of counties experienced immediate impacts related to fireworks in 2019 and 2020, respectively. Relative to 2019, the peak PM 2.5 concentrations on July 4th and 5th 2020 were, on average, over 50% higher in California, likely due to the COVID-19-related increase in the use of household-level fireworks. This increase was most pronounced in southern counties, which tend to have less strict firework-related regulations and a greater use of illegal fireworks. Los Angeles County experienced the highest July 4th daily PM 2.5 levels both in 2019 (29.9 µg·m −3 ) and 2020 (42.6 µg·m −3 ). Spatial hot spot analyses generally showed these southern counties (e.g., Los Angeles County) to be regional air pollution hotspots, whereas the opposite pattern was seen in the north (e.g., San Francisco). The results also showed PM 2.5 peaks that were over two-times higher among communities with lower SES, higher minority group populations, and higher asthma rates. Our findings highlight the important role that policy and enforcement can play in reducing firework-related air ...
    Keywords air quality ; firework ; particulate matter ; low-cost sensors ; PurpleAir ; Independence Day ; Medicine ; R
    Subject code 333
    Language English
    Publishing date 2021-05-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article: Designing and Manufacture of Training Simulator for Injecting and Fluid Removing of Knee Joint.

    Pakzad, Bahram / Karimzadeh, Hadi / Dadgostarnia, Mohammad / Mousavi, Maryam / Salehi, Amirhosein / Akbari, Mojtaba

    Advanced biomedical research

    2019  Volume 8, Page(s) 28

    Language English
    Publishing date 2019-04-12
    Publishing country India
    Document type Journal Article
    ZDB-ID 2672524-1
    ISSN 2277-9175
    ISSN 2277-9175
    DOI 10.4103/abr.abr_198_18
    Database MEDical Literature Analysis and Retrieval System OnLINE

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