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The introduction of customized bus (CB) service intends to expand and elevate existing transit service, which offers an efficient and sustainable alternative to serve commuters. A probabilistic model is proposed to optimize CB service with mixed vehicle sizes in an urban setting considering stochastic bus arrival time and spatiotemporal demand, which minimizes total cost subject to bus capacity and time window constraints. The studied optimization problem is combinatorial with many decision variables including vehicle assignment, bus routes, timetables, and fleet size. A heuristic algorithm is developed, which integrates a hybrid genetic algorithm (HGA) and adaptive destroy-and-repair (ADAR) method. The efficiency of HGA-ADAR is demonstrated through numerical comparisons to the solutions obtained by LINGO and HGA. Numerical instances are carried out, and the results suggested that the probabilistic model considering stochastic bus arrival time is valuable and can dramatically reduce the total cost and early and late arrival penalties. A case study is conducted in which the proposed model is applied to optimize a real-world CB service in Xi'an, China. The relationship between decision variables and model parameters is explored. The impacts of time window and variance of bus arrival time, which significantly affect service reliability, are analysed., Author(s): Qian Sun [1]; Steven Chien [1,2]; Dawei Hu (corresponding author) [1]; Xiqiong Chen [1] 1. Introduction Public transportation agencies are experimenting with on-demand and shared technologies to augment traditional [...]

CO2 flooding is recognized as an efficient method for enhancing shale oil recovery, while CO2-oil MMP (minimum miscibility pressure) in the micro-nanoscale is a crucial parameter. This paper presents a method for calculating the MMPs of pure hydrocarbons (C4H10, C6H14, C8H18, and C10H22) and CO2 systems in nanopores (3 nm to 10 nm) with temperature ranging from 290.15 K to 373.15 K. Firstly, we modify the Peng-Robinson equation of state (PR-EOS) by considering the influence of confinement effect and capillary pressure in nanopores. Secondly, the flash calculation algorithm is employed to determine whether the oil and gas phases in nanopores have reached an equilibrium state according to the equality of the fugacity of the two phases. Thirdly, we calculate the interfacial tension (IFT) between the two phases using the Macleod-Sugden equation. When the extrapolated IFT is zero, we treat the corresponding pressure as the MMP of the CO2-oil system in nanopores. Simulation results indicate that the calculated MMP using this method has a relative error of about 0.62% compared to the MMP calculated using the multiple mixing cell (MMC) method, indicating high reliability for MMP prediction. Moreover, the measured MMP at the nanoscale is generally smaller than that in the bulk phase due to the influence of the confinement effect. The MMP is positively correlated with the reservoir temperature, the carbon atom number in alkanes, and the nanopore radius. [ABSTRACT FROM AUTHOR]

Forsythia suspensa (Thunb.) Vahl (Oleaceae) leaves are valuable sources of phillygenin. This study aimed to isolate phillygenin from F. suspensa leaves and examine its analgesic and anti‐inflammatory effects. Phillygenin was successfully extracted and isolated from F. suspensa leaves after fermentation. Phillygenin significantly reduced the number of writhing induced by acetic acid, prolonged the latency period in the hot plate test, and inhibited the xylene‐induced ear edema and carrageenan‐induced paw edema in mice. IL‐6, TNF‐α, IL‐1β, NO, and PGE2 levels in the carrageenan‐induced paw edema were notably reduced after pretreatment with phillygenin. Phillygenin significantly decreased the iNOS and COX‐2 protein expressions and the IκB‐α and NF‐κB p65 phosphorylation. This study demonstrated that phillygenin is a potential therapeutic candidate for managing pain and inflammation‐mediated disorders. The study contributes to the comprehensive development and utilization of F. suspensa leaves for economic and health care. Practical applications: Phillygenin is one of the major active ingredients in Forsythia suspensa. But the content of phillygenin in F. suspensa is very low which limits its application. Phillygenin has potential pharmacological activity and anti‐inflammatory properties. However, the potential effects of phillygenin on analgesic activity have not been clarified. Furthermore, the data on its anti‐inflammatory activity in vivo are relatively limited. This study evaluated the analgesic activity for the first time and the acute anti‐inflammatory effect of phillygenin from F. suspensa leaves by fermentation, which indicated phillygenin is a potential therapeutic candidate for managing pain and inflammation‐mediated disorders. [ABSTRACT FROM AUTHOR]

CD3+CD56+ natural killer T (NKT)-like cells have an immune function of T cells and NK cells, which play an important role in antitumor and antiviral immune responses. This study aims to establish a CD3+CD56+ NKT-like cell model by simulating the memory NK effect induced by cytokines IL-12, IL-15, and IL-18 (IL-12/15/18) and explore the formation mechanism. Our study found that the IL-12/15/18 preactivated CD3+CD56+ NKT-like cells exhibited enhanced IFN-γ production in response to restimulation with IL-12/15/18 for 6h on day 7. The intrinsic potential of these trained cells was significantly improved, showing an increase in IFN-γ, TNF-α, and cell proliferation potential. The IFN-γ release, granzyme B level, and proliferation ability significantly increased when stimulated by NK-cell-sensitive K562 tumor cells. Among these cytokines, the combination of IL-12/15/18 was particularly effective. After the preactivation of IL-12/15/18, some cell surface proteins related to function and differentiation, such as CD11b, CD62 L, NKp46, NKG2A, and CD127, showed an evident and consistent change trend. The CDK4/6 inhibitor can effectively weaken this effect, and the expression of cyclin D1, Rb protein phosphorylation, and E2F-1 decreased significantly. Our work revealed that cytokine IL-12/15/18 can induce CD3+CD56+ NKT-like cells to obtain enhanced training immunity, which was a memory-like phenomenon. [ABSTRACT FROM AUTHOR]

This study aims to investigate the relationship between body measures and the presence of two frailty‐related phenotypes, and the moderating effect of age on this relationship. This is a secondary data analysis of the baseline data of an interventional study. The participants were residents of seven districts in Hong Kong, aged 55 or older, able to ambulate independently and to function well cognitively. Pre‐frailty refers to the presence of two frailty‐related phenotypes: low physical activity or poor handgrip strength or both. Included in the study were 199 individuals with a mean age of 73.43 (SD 7.54). Regression models showed that body weight (OR = 0.95, 95% CI 0.92–0.99, p <.05) was significantly associated with pre‐frailty, as was body height (OR = 0.88, 95% CI 0.83–0.94, p <.001). Age is a significant moderator of the relationship between pre‐frailty and body weight and body height. The effect of body weight (beta = −0.044, p <.05) and height (beta = −0.16, p <.001) on pre‐frailty was significant and negative in the younger age groups. The findings indicate that raw body measures (i.e. body weight, body height) are more predictive of pre‐frailty than BMI in older Chinese people. However, in the old‐old group, these measures are not significant predictors of pre‐frailty in Chinese community‐dwelling adults. Practitioners should consider adopting body measures as predictors of pre‐frailty in the younger‐old population. [ABSTRACT FROM AUTHOR]