Data-driven evaluation of electric vehicle energy consumption for generalizing standard testing to real-world driving.

Standard energy-consumption testing, providing the only publicly available quantifiable measure of battery electric vehicle (BEV) energy consumption, is crucial for promoting transparency and accountability in the electrified automotive industry; however, significant discrepancies between standard testing and real-world driving have hindered energy and environmental assessments of BEVs and their broader adoption. In this study, we propose a data-driven evaluation method for standard testing to characterize BEV energy consumption. By decoupling the impact of the driving profile, our evaluation approach is generalizable to various driving conditions. In experiments with our approach for estimating energy consumption, we achieve a 3.84% estimation error for 13 different multiregional standardized test cycles and a 7.12% estimation error for 106 diverse real-world trips. Our results highlight the great potential of the proposed approach for promoting public awareness of BEV energy consumption through standard testing while also providing a reliable fundamental model of BEVs.

Dynamic correction of soft measurement model for evaporation process parameters based on ARMA.

To address the significant soft measurement errors in traditional static models for evaporation process parameters, which are characterized by continuity and cumulativity, this paper proposes a dynamic correction method for soft measurement models of evaporation process parameters based on the autoregressive moving-average model (ARMA). Initially, the Powell's directional evolution (Powell-DE) algorithm is utilized to identify the autoregressive order and moving average order of the ARMA model. Subsequently, the prediction error of a mechanism-reduced robust least squares support vector machine ensemble model is utilized as input. An error time series prediction model, which compensates for the errors in the autoregressive moving average model, is then applied for dynamic estimation of the prediction error. Finally, an integration strategy using the entropy method is employed to combine the static soft measurement model, based on the mechanism-reduced robust least squares support vector machine, with the dynamic correction soft measurement model, which is based on the error time series compensation of the ARMA model. The new model is analyzed and validated using production data from an alumina plant's evaporation process. Compared to traditional models, the new model demonstrates significantly improved prediction accuracy and is capable of dynamic prediction of evaporation process parameters.

Soft-sensing modeling of mother liquor concentration in the evaporation process based on reduced robust least-squares support-vector machine.

The evaporation process is vital in alumina production, with mother liquor concentration serving as a critical control parameter. To address the challenge of online detection, we propose the introduction of a soft measurement strategy. First, due to the significant fluctuations in the production process variables and inter-variable coupling, comprehensive grey correlation analysis and kernel principal component analysis are employed to reduce the input dimension and computational complexity of the data, enhancing the efficiency of the soft sensing model. The reduced robust least-squares support-vector machine (LSSVM), with its commendable predictive performance, is used for modeling and predicting the principal components. Concurrently, an improved Pattern Search-Differential Evolution (PS-DE) algorithm is proposed for optimizing the pivotal parameters of the LSSVM network. Lastly, on-site industrial data validation indicates that the new model offers superior tracking capabilities and heightened accuracy. It is deemed aptly suitable for the online detection of mother liquor concentration.

Fuzzy super twisting mode control of a rigid-flexible robotic arm based on approximate inertial manifold dimensionality reduction.

Introduction: The control of infinite-dimensional rigid-flexible robotic arms presents significant challenges, with direct truncation of first-order modal models resulting in poor control quality and second-order models leading to complex hardware implementations. Methods: To address these issues, we propose a fuzzy super twisting mode control method based on approximate inertial manifold dimensionality reduction for the robotic arm. This innovative approach features an adjustable exponential non-singular sliding surface and a stable continuous super twisting algorithm. A novel fuzzy strategy dynamically optimizes the sliding surface coefficient in real-time, simplifying the control mechanism. Results: Our findings, supported by various simulations and experiments, indicate that the proposed method outperforms directly truncated first-order and second-order modal models. It demonstrates effective tracking performance under bounded external disturbances and robustness to system variability. Discussion: The method's finite-time convergence, facilitated by the modification of the nonlinear homogeneous sliding surface, along with the system's stability, confirmed via Lyapunov theory, marks a significant improvement in control quality and simplification of hardware implementation for rigid-flexible robotic arms.

Clinical Efficacy of Bushen Yiqi Fuzheng Decoction Combined with Sunitinib in the Treatment of Postoperative Patients with Renal Cell Carcinoma and Its Influence on Their Immune Function.

BACKGROUND: This study aimed to investigate the effect of Bushen Yiqi Fuzheng decoction combined with sunitinib on the prognosis, clinical efficacy and immune function of patients with renal cell carcinoma (RCC) after surgery. METHODS: A total of 120 patients who experienced RCC after surgery were randomly divided into the observation and control groups in this prospective study, with 60 cases in each group. The therapeutic effect, improvement of clinical symptoms, changes of immune function-related indicators and adverse reactions during medication were recorded. The changes in immune cell population, midkine (MK), interleukin 35 (IL-35), hypoxia-inducible factor 2alpha (HIF-2α), matrix metalloproteinase-9 (MMP-9), tissue inhibitor of metalloproteinase-1 (TIMP-1), carcinoembryonic antigen (CEA), osteopontin (OPN), ferritin (FERR) and beta2-microglobulin (ß2-MG) levels were measured. The Karnofsky performance status (KPS) score of patients was recorded. RESULTS: The total effective rate of the observation group (95%) was better than that of the control group (85%, p < 0.05). After treatment, the changes of immune function indexes in the control group were not obvious. The indexes related to immune function in the observation group significantly decreased. Significant differences were observed in the cluster of differentiation 3+ (CD3+), cluster of differentiation 4+ (CD4+), cluster of differentiation 8+ (CD8+) and CD4+/CD8+ between the two groups after treatment. The incidence of adverse reactions in the observation group was lower than that of the control group. The KPS of the observation group was higher than that of the control group. Before treatment, no differences were observed in the MK, IL-35, HIF-2α, CEA, OPN, FERR, ß2-MG, MMP-9 and TIMP-1 levels between the two groups. After treatment, the levels of the above parameters were lower than those before treatment, especially in the observation group. CONCLUSIONS: Bushen Yiqi Fuzheng decoction combined with sunitinib can significantly improve the clinical efficacy and postoperative immune function of RCC patients after surgery and down-regulate MMP-9 and TIMP-1 levels in the serum, which is beneficial to the prognosis of patients.

Clinical Efficacy of Bushen Yiqi Fuzheng Decoction Combined with Sunitinib in the Treatment of Postoperative Patients with Renal Cell Carcinoma and Its Influence on Their Immune Function

Background: This study aimed to investigate the effect of Bushen Yiqi Fuzheng decoction combined with sunitinib on the prognosis, clinical efficacy and immune function of patients with renal cell carcinoma (RCC) after surgery. Methods: A total of 120 patients who experienced RCC after surgery were randomly divided into the observation and control groups in this prospective study, with 60 cases in each group. The therapeutic effect, improvement of clinical symptoms, changes of immune function-related indicators and adverse reactions during medication were recorded. The changes in immune cell population, midkine (MK), interleukin 35 (IL-35), hypoxia-inducible factor 2alpha (HIF-2α), matrix metalloproteinase-9 (MMP-9), tissue inhibitor of metalloproteinase-1 (TIMP-1), carcinoembryonic antigen (CEA), osteopontin (OPN), ferritin (FERR) and beta2-microglobulin (β2-MG) levels were measured. The Karnofsky performance status (KPS) score of patients was recorded. Results: The total effective rate of the observation group (95%) was better than that of the control group (85%, p < 0.05). After treatment, the changes of immune function indexes in the control group were not obvious. The indexes related to immune function in the observation group significantly decreased. Significant differences were observed in the cluster of differentiation 3+ (CD3+), cluster of differentiation 4+ (CD4+), cluster of differentiation 8+ (CD8+) and CD4+/CD8+ between the two groups after treatment. The incidence of adverse reactions in the observation group was lower than that of the control group. The KPS of the observation group was higher than that of the control group (AU)

Pentoxifylline exerts anti-inflammatory effects on cerebral ischemia reperfusion­induced injury in a rat model via the p38 mitogen-activated protein kinase signaling pathway.

Pentoxifylline exhibits complex functions with extensive pharmacological effects and is used therapeutically due to its therapeutic effects and rapid metabolism in the body, with no cumulative effects and few side effects. The present study investigated the effects of pentoxifylline on cerebral ischemia reperfusion­induced injury (IRI) through suppression of inflammation in rats. Hematoxylin and eosin staining was performed to evaluate the number of neurocytes, and ELISAs were applied to measure tumor necrosis factor­α, interleukin­6, malondialdehyde and superoxide dismutase activities. Treatment with pentoxifylline significantly recovered the cerebral ischemia reperfusion­induced neurological deficit score and cerebral infarct volume in rats. In addition, pentoxifylline treatment significantly reversed the cerebral ischemia reperfusion­induced interleukin­6, tumor necrosis factor­α, malondialdehyde and superoxide dismutase levels in vivo. Furthermore, pentoxifylline significantly inhibited cyclooxygenase­2 and inducible nitric oxide synthase mRNA and protein expression in cerebral IRI mice. Treatment with pentoxifylline also significantly suppressed the expression of cleaved caspase­3 and p38 mitogen­activated protein kinase (MAPK) protein in cerebral IRI mice. These results indicate that the protective effects of pentoxifylline on cerebral IRI may occur via the p38 MAPK signaling pathway.