published journal article
Area of Expertise: Unspecified
conference paper
Sub-meter accurate UAV navigation and cycle slip detection with LTE carrier phase measurements
Proceedings of the 32nd international technical meeting of the satellite division of the institute of navigation (ION GNSS+ 2019)
Publication Date
Author(s)
Suggested Citation
Kimia Shamaei and Zaher M. Kassas (2019) “Sub-meter accurate UAV navigation and cycle slip detection with LTE carrier phase measurements”, in Proceedings of the 32nd international technical meeting of the satellite division of the institute of navigation (ION GNSS+ 2019). Institute of Navigation, pp. 2469–2479. Available at: 10.33012/2019.17051.book/book chapter
Housing and urban health
Publication Date
Author(s)
Suggested Citation
Edith Huarita and Victoria Basolo (2019) “Housing and urban health”, in Handbook of global urban health. Routledge, pp. 769–794. Available at: 10.4324/9781315465456-45.published journal article
Abstract PO-170: Association between outdoor ambient benzene and invasive breast cancer incidence: The Multiethnic Cohort Study
Cancer Epidemiology, Biomarkers & Prevention
Publication Date
Author(s)
Abstract
Background: Benzene is classified as a Group 1 carcinogen in humans. A major pathway of benzene exposure is through the inhalation of ambient air contaminated by emissions from motor vehicle exhaust, gas stations, industries, tobacco smoke, and other consumer products. Past studies on benzene and breast cancer based on job titles or occupational history have yielded mixed results and the role of ambient benzene and breast cancer risk has been sparsely studied. Within the California component of the Multiethnic Cohort study, we examined the association between outdoor exposure to benzene and breast cancer risk among four major U.S. racial/ethnic groups―African Americans, Latinos, Japanese Americans, and Whites. Methods: Outdoor ambient benzene exposure was estimated from U.S. EPA measurements from air monitoring stations that were within 15 km of residences of 57,589 female MEC participants, largely from Los Angeles County, from time of recruitment (1993-1996) through study end date (12/31/2010). Cox proportional hazards models were used to examine the associations between time-varying benzene exposure and invasive breast cancer risk (cases=2,388), adjusting for age, race/ethnicity, education, smoking pack-years, family history of breast cancer, body mass index, physical activity, parity and age at first live birth, age at menarche, menopausal status, use of hormone therapy, alcohol consumption, intake of total calories, and neighborhood (block group) socioeconomic status. Stratified analyses were conducted by race/ethnicity, smoking history, and hormone receptor status. Results: Outdoor ambient benzene exposure (average median level from 1993-2010 was 0.94 ppb) was associated with an increased risk of breast cancer (per 1 ppb hazard ratio [HR]=1.40, 95% confidence interval [CI]: 1.24-1.58). This positive association was observed across all racial/ethnic groups; HR ranged from 1.23 to 1.67 (p values were <0.001 in African Americans, Japanese Americans, and Whites). Analysis by smoking status at baseline showed significant increased risk among former smokers (HR=1.53, 95% CI:1.22-1.91) and never smokers (HR=1.33, 95% CI: 1.12-1.58) but this risk did not reach statistical significance among current smokers (HR=1.27, 95% CI: 0.91-1.79) (Pheterogeneity=0.56). A larger effect estimate of benzene was observed for hormone receptor negative (HR=1.66; 95% CI: 1.18-2.33) than for hormone receptor positive (HR=1.28, 95% CI: 1.10-1.50) breast cancer (Pheterogeneity=0.02). Conclusions: Benzene exposure adversely impacted the risk of breast cancer across all racial/ethnic groups but appeared to be more prominent for hormone receptor negative breast cancer after adjusting for covariates mentioned above. Additional large population-based studies with breast cancer subtypes are needed to further determine benzene’s role in breast cancer development.Citation Format: Ugonna Ihenacho, Jun Wu, Chiu-Chen Tseng, Juan Yang, Scott Fruin, Timothy Larson, Salma Shariff-Marco, Loic Le Marchand, Daniel Stram, Beate Ritz, Iona Cheng, Anna H. Wu. Association between outdoor ambient benzene and invasive breast cancer incidence: The Multiethnic Cohort Study [abstract]. In: Proceedings of the AACR Virtual Conference: 14th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2021 Oct 6-8. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2022;31(1 Suppl):Abstract nr PO-170.
Suggested Citation
Ugonna Ihenacho, Jun Wu, Chiu-Chen Tseng, Juan Yang, Scott Fruin, Timothy Larson, Salma Shariff-Marco, Loic Le Marchand, Daniel Stram, Beate Ritz, Iona Cheng and Anna H. Wu (2022) “Abstract PO-170: Association between outdoor ambient benzene and invasive breast cancer incidence: The Multiethnic Cohort Study”, Cancer Epidemiology, Biomarkers & Prevention, 31(1_Supplement), p. PO–170. Available at: 10.1158/1538-7755.DISP21-PO-170.conference paper
Working from Home: Analyzing Activity-Travel Patterns in the Pandemic (2021-2022)
Transportation Research Board 103rd Annual Meeting
Publication Date
Author(s)
Suggested Citation
Rezwana Rafiq, Michael McNally and Md Yusuf Uddin (2024) “Working from Home: Analyzing Activity-Travel Patterns in the Pandemic (2021-2022)”.published journal article
Tax reform and housing demand
European Economic Review
Publication Date
Author(s)
Suggested Citation
David Brownstone, Peter Englund and Mats Persson (1988) “Tax reform and housing demand”, European Economic Review, 32(4), pp. 819–840. Available at: 10.1016/0014-2921(88)90048-7.conference paper
Analyzing Public Sentiment Variations Toward Electric Vehicles in the United States: Evidence from Twitter
Proceedings, 104th Annual Meeting of the Transportation Research Board
Publication Date
Author(s)
Abstract
This study investigates the spatial and temporal variations in public sentiment towards electric vehicles (EVs) in the US, using Twitter data from 2019 to 2022. A hybrid data labeling approach is employed, which integrates large language models (LLMs) with human expert oversight to improve data annotation reliability. By addressing data imbalance with targeted resampling techniques and training multiple supervised learning models, this study provides an accurate analysis of public sentiment dynamics. Our findings reveal a significant spatial similarity between EV market share and the frequency of EV-related discussions on Twitter, suggesting that online discourse could serve as a potential indicator of EV market penetration. Furthermore, temporal sentiment analysis highlights an increase in negativity over time, particularly in regions with high EV adoption, revealing a contradictory trend between public satisfaction and the growing adoption of EVs. These insights offer valuable suggestions for policymakers and EV manufacturers, emphasizing the need to address consumer concerns, even in areas residents demonstrate higher willingness to adopt EVs, to foster more favorable public perceptions and support the broader adoption of EVs.
Suggested Citation
Mingqi Yao and Stephen Ritchie (2025) “Analyzing Public Sentiment Variations Toward Electric Vehicles in the United States: Evidence from Twitter”, in Proceedings, 104th Annual Meeting of the Transportation Research Board. Washington, D.C..conference paper
A framework for analyzing the sensitivity of traffic data quality to sensor location and spacing
Proceedings of the ITS world congress 2008, beijing, china
Publication Date
Author(s)
Suggested Citation
JD Margulici, J.X. Ban, A. Bayen, L. Chu, A. Danczyk, J-C. Herrera, R. Herring, H.X. Liu, O-P Tossavainen and D. Work (2008) “A framework for analyzing the sensitivity of traffic data quality to sensor location and spacing”, in Proceedings of the ITS world congress 2008, beijing, china.published journal article
Robust vehicular localization and map matching in urban environments through IMU, GNSS, and cellular signals
IEEE Intell. Transport. Syst. Mag.
Publication Date
Author(s)
Suggested Citation
Zaher Zak M. Kassas, Mahdi Maaref, Joshua J. Morales, Joe J. Khalife and Kimia Shamei (2020) “Robust vehicular localization and map matching in urban environments through IMU, GNSS, and cellular signals”, IEEE Intell. Transport. Syst. Mag., 12(3), pp. 36–52. Available at: 10.1109/mits.2020.2994110.published journal article