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Ride-hailing Electric Vehicles (EVs) offer a dual benefit by mitigating carbon emissions and providing convenient transportation solutions. Nevertheless, current emissions estimation models for urban-scale lack consideration of the real-world travel behaviors during operational phase. This study extracted the characteristics of ride-hailing EVs in Shanghai and Shenzhen based on 14.77 million real-world driving records, and established an emission estimation model. The emission estimation model delineates the relationship between speed State of Charge (SOC) and operational efficient of ride-hailing EVs in cities. Compared to traditional methods relying on manufacturer-claimed energy consumption rates, the developed model demonstrates a 38.4% increase in accuracy. It reveals that ride-hailing EVs deviate from the optimal speed in approximately 90% of their trips under the current urban transportation system. A 5 km/h increase in ride-hailing EV speed can improve emission reduction potential, cutting annual emissions by 0.89 ktCO 2 in Shanghai and 4.74 ktCO 2 in Shenzhen. Additionally, when a ride-hailing EV operates with SOC between 10 and 30%, emissions are 21.4%–36.0% higher compared to SOC between 70 and 90%. At last, the model derives emission factors for ride-hailing EVs during operational phase in Shanghai and Shenzhen are 0.2635 and 0.1535 10−5MtCO 2 kWh−1km−1 • Estimating carbon emissions of ride-hailing EVs during the operational phase at the urban scale. • The ride-hailing EVs emission factors in Shanghai and Shenzhen are 0.2635 and 0.1535 10-5MtCO2kWh-1km-1. • Increasing operating speed by 5 km/h can reduce annual emissions by 0.89 and 4.74 ktCO2 for both city. • Emissions are 21.4%–36.0% higher when driving with SOC between 10 and 30% compared to SOC between 70 and 90%. [ABSTRACT FROM AUTHOR]

To screen the differentially expressed proteins (DEPs) in human bronchial epithelial cells (HBE) treated with atmospheric fine particulate matter (PM 2.5). HBE cells were treated with PM 2.5 samples from Shenzhen and Taiyuan for 24 h. To detect overall protein expression, the Q Exactive mass spectrometer was used. Gene ontology (GO), Kyoto encyclopedia of genes and genomes (KEGG), and Perseus software were used to screen DEPs. Overall, 67 DEPs were screened in the Shenzhen sample-treated group, of which 46 were upregulated and 21 were downregulated. In total, 252 DEPs were screened in the Taiyuan sample-treated group, of which 134 were upregulated and 118 were downregulated. KEGG analysis demonstrated that DEPs were mainly enriched in ubiquitin-mediated proteolysis and HIF-1 signal pathways in Shenzhen PM 2.5 samples-treated group. The GO analysis demonstrated that Shenzhen sample-induced DEPs were mainly involved in the biological process for absorption of various metal ions and cell components. The Taiyuan PM 2.5 -induced DEPs were mainly involved in biological processes of protein aggregation regulation and molecular function of oxidase activity. Additionally, three important DEPs, including ANXA2, DIABLO, and AIMP1, were screened. Our findings provide a valuable basis for further evaluation of PM 2.5 -associated carcinogenesis. [ABSTRACT FROM AUTHOR]

Very preterm infants of <29 weeks' gestation are at high risk for adverse neurodevelopment due to multiple risk factors in the early stages of life. There is little information regarding the associative effects of risk factors in early life, neonatal morbidities and subsequent neurodevelopmental outcomes. Investigate the association of early neurodevelopmental outcomes, neonatal complications and the risk factors in the early hours of life in a cohort of preterm infants <29 weeks' gestational age. We enrolled all surviving preterm neonates born at gestation <29 weeks between January 2015 and June 2021 in the University of Hong Kong–Shenzhen Hospital. Demographic and clinical characteristics were collected from a database of the neonatal intensive care unit. Neurodevelopmental outcomes of the survivors were evaluated using the Ages and Stages Questionnaire (ASQ-3) which were measured at the adjusted age of 12 to 18 months. The multivariate linear regression model was used to determine correlation presented as β coefficient (β) with 95 % confidence intervals (CI). In this cohort of 56 survivors <29 weeks' gestation, urine output within the first 12 h of life and Apgar score at 5 min were positively associated with different domains of ASQ-3 score, however male sex and highest fraction of inspired oxygen (FiO 2) in the first 12 h of life were negatively related with at least one of neurocognitive domains of ASQ-3 at adjusted age of 12 to 18 months. During hospitalization, in addition to the frequency of packed red cell transfusions, the development of severe necrotizing enterocolitis was inversely associated with both neuromotor and neurocognitive skills (gross motor domain: β = −16.93, CI: −32.04, −1.82; fine motor domain: β = −16.42, CI: −28.82, −4.02; problem solving domain: β = −13.14, CI: −24.45, −1.83; all P < 0.05), whereas severe intraventricular hemorrhage had adverse effects on gross motor only (β = −13.04, CI: −24.42, −1.65; P = 0.03). Bronchopulmonary dysplasia and retinopathy of prematurity were not related with ASQ-3. In this small cohort study of very preterm neonates born at <29 weeks' gestation, risk factors in the early hours of life and neonatal morbidities during hospitalization had differential associative relationships with ASQ-3 at 12–18 months adjusted age. This information may be important for parental counseling and management including early diagnosis and intervention. • Neonatal morbidity was related to early development in extremely preterm infants. • Neonatal morbidity includes IVH, NEC and blood transfusions. • ASQ-3 described neuromotor and neurocognitive skills at 12–18 months adjusted age. • The differential association may help parental counseling and management. [ABSTRACT FROM AUTHOR]