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Google Street View's historical imagery is a promising data source for measuring neighborhood conditions over time. However, images are not available for all years. To assess bias that may arise due to a mismatch between the year imagery is available and the year of researcher interest, we assessed prevalence of change in 20 commonly assessed built environment features between the oldest and newest available high-quality images (median difference 10.5 years, range from 2007 to 2023) on Street View at 2118 total locations in four US cities representing the Hispanic Community Health Study/Study of Latinos (New York City, Chicago, Miami, and San Diego). Seventeen (85%) of the features were the same in more than 90% of images; only litter differed in more than 20%. Patterns of change were consistent across all four cities and not notably different in tracts with higher or lower median household incomes. For built environment features reflecting sidewalk conditions and disinvestment in neighborhoods not selected for their known rapid change, auditing an image that does not temporally match the time of etiological interest is unlikely to be a major source of bias.
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http://dx.doi.org/10.1007/s11524-025-00980-1 | DOI Listing |
Environ Monit Assess
September 2025
Department of Environment and Life Science, KSKV Kachchh University, Bhuj, Gujarat, 370 001, India.
India's energy demand increased by 7.3% in 2023 compared to 2022 (5.6%), primarily met by coal-based thermal power plants (TPPs) that contribute significantly to greenhouse gas emissions.
View Article and Find Full Text PDFJ Radiol Prot
September 2025
Centre for Radiation Protection Research, Stockholm University, Svante Arrheniusväg 20C, 106 91 Stockholm, Sweden.
The System of Radiological Protection (the "System") developed by the International Commission on Radiological Protection (ICRP) is built on nearly a century of efforts of numerous scientists and practitioners working together internationally. It rests on three enduring pillars: science, ethics, and experience. These pillars support the three fundamental principles that shape radiological protection strategies: justification, optimisation, and application of dose limits.
View Article and Find Full Text PDFPhys Chem Chem Phys
September 2025
Jiangxi Provincial Key Laboratory of Multidimensional Intelligent Perception and Control, School of Energy and Mechanical Engineering, Jiangxi University of Science and Technology, Nanchang, 330013, Jiangxi Province, China.
The quest for sustainable and clean energy sources has led to significant research into photocatalytic water splitting, a process that converts solar energy into hydrogen fuel. This study demonstrates constructing a high-performance CdTe/CN van der Waals heterojunction for solar-driven water splitting hydrogen evolution. The proposed CdTe/CN heterojunction, investigated using first-principles calculations, integrates favorable structural stability and features a direct bandgap of 1.
View Article and Find Full Text PDFS Afr Fam Pract (2004)
August 2025
Department of Software Engineering, Faculty of Engineering, Built Environment and Technology, Nelson Mandela University, Gqeberha.
Background: Problematic Smartphone Use (PSU) is a growing concern, particularly among university students, due to its potential negative impacts on mental health, academic performance, and daily functioning. Characterized by compulsive smartphone use, PSU is linked to anxiety, depression, and sleep disturbances. Understanding PSU in university settings is essential for creating effective interventions.
View Article and Find Full Text PDFNat Methods
September 2025
Center for Computational Biology, University of California, Berkeley, Berkeley, CA, USA.
The growing availability of single-cell omics datasets presents new opportunities for reuse, while challenges in data transfer, normalization and integration remain a barrier. Here we present scvi-hub: a platform for efficiently sharing and accessing single-cell omics datasets using pretrained probabilistic models. It enables immediate execution of fundamental tasks like visualization, imputation, annotation and deconvolution on new query datasets using state-of-the-art methods, with massively reduced storage and compute requirements.
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