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BackgroundThe prevalence of venous thromboembolism (VTE) is high in patients with cancer and can often present as the first symptom of malignancy. Cancer-associated VTE is one of the most important risk factors contributing to cancer mortality, making its prevention and treatment critical for patients with lung cancer.MethodsWe systematically searched for observational studies that estimated the prevalence of VTE in patients with lung cancer. A comprehensive search of electronic databases, including PubMed, EMBASE and Cochrane Library, was systematically conducted from database inception through January 21, 2022. The qualities of included studies were assessed in three domains, including patient selection, comparison, and results. Random effects meta-analyses of the prevalence of VTE in lung cancer were conducted using the metaprop procedure. Chi-square test and I2 value were used to evaluate study heterogeneity.ResultsThirty-five studies involving 742,156 patients were considered eligible for this study. The pooled prevalence of VTE among patients with lung cancer was 5% (95% CI: 0.043–0.056, P = 0.000). The regional prevalence of VTE was 7% (95% CI: 0.06–0.08; I2 = 99.2%) in North America, 8% (95% CI: 0.06–0.10; I2 = 97.6%) in Asia, 6% (95% CI: 0.04–0.09; I2 = 95.9%) in Europe and 11% (95% CI: 0.07–0.15) in Australasia.ConclusionsThe prevalence of lung cancer-related VTE is high and region-specific. These results of this review emphasize the importance of understanding the incidence of lung cancer-related VTE and provide argue for VTE screening of patients with lung cancer.Systematic Review Registrationhttps://www.crd.york.ac.uk/prospero/, identifier PROSPERO (CRD42022306400).

The thermal performance of a lithium-ion battery pack for an electric vehicle by adding straight rib turbulators in battery cooling plate channels has been numerically investigated in this paper and the numerical model of the battery pack has been validated by experimental data, which exhibits a satisfactory prediction accuracy. The effects of rib shapes, rib angles, rib spacings, and irregular gradient rib arrangement configurations on the flow and heat transfer behaviors of battery pack cooling plates have been thoroughly explored and analyzed in this paper. In addition, the thermal performance of the ribbed battery cooling plates was examined at actual high-speed climbing and low-temperature heating operating conditions. The results indicate that compared to the original smooth cooling plate, the square-ribbed battery cooling plate with a 60° angle and 5 mm spacing reduced the maximum battery temperature by 0.3 °C, but increased the cross-sectional temperature difference by 0.357 °C. To address this issue, a gradient rib arrangement was proposed, which slightly reduced the maximum battery temperature and lowered the cross-sectional temperature difference by 0.445 °C, significantly improving temperature uniformity. The thermal performance of the battery thermal management system with this gradient rib configuration meets the requirements for typical electric vehicle operating conditions, such as high-speed climbing and low-temperature heating conditions.

The degree of coordination between the supply and demand for urban green spaces serves as a vital metric for evaluating urban ecological development and the well-being of residents. An essential principle in assessing this coordination is the precise quantification of both the demand and supply of green spaces, as well as the differential representation of their spatiotemporal structures. This study utilizes the entropy weight method (EWM) and principal component analysis (PCA) to comprehensively measure supply indicators for green space quantity and quality in the central urban area of Shenyang, China. To establish reliable and quantifiable demand indicators, mobile signaling spatial-temporal data are corrected by incorporating static population cross-sectional data. The Gaussian two-step floating catchment area method (Ga2SFCA) is employed to calculate the accessibility of green spaces in each community with ArcGIS 10.2 software, while the Gini coefficient is utilized to assess the equity of green space distribution within the study area. This study employs location entropy to determine the levels of supply and demand for green spaces in each subdistrict. Furthermore, the priority of community-scale green space regulation is accurately determined by balancing vulnerable areas of green space supply and replenishing green space resources for the ageing population. The findings suggest a Gini coefficient of 0.58 for the supply and demand of green spaces in Shenyang’s central metropolitan region, indicating a relatively low level of equalization in overall green space allocation. Based on location entropy, the classification of supply and demand at the street level yields the following outcomes: balanced areas comprise 21.98%, imbalanced areas account for 26.37%, and highly imbalanced regions represent 51.65%. After eliminating the balanced regions, the distribution of the elderly population is factored in, highlighting the spatial distribution and proportions of communities with distinct regulatory priorities: Level 1 (S1) constitutes 7.4%, Level 2 (S2) accounts for 60.9%, and Level 3 (S3) represents 31.7%. Notably, the communities in the S1 category exhibit spatial distribution characteristics of aggregation within the inner ring and the northern parts of the third ring. This precise identification of areas requiring urgent regulation and the spatial distribution of typical communities can provide reliable suggestions for prioritizing green space planning in an age-friendly city.