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The ideal cutting-tool coating material is characterized by unique chemical and physical properties to achieve excellent cutting performance, a good thermal barrier effect, and a high-quality machined surface. Diamond-like carbon (DLC) coating, as a kind of cutting-tool coating material, has been used in cutting various materials due to its low coefficients of friction and thermal expansion, high hardness, and good chemical inert and thermal conductivity. This article mainly focuses on the modification methods for the DLC coating and their application in machining different materials. Firstly, the methods employed to improve the mechanical properties of DLC coating are reviewed and analyzed, including the multilayer structure design, transition layer, and doping other elements. Secondly, the machining performances of DLC-coated tools in the application of different materials are summarized. This review provides knowledge of modification mechanisms regarding DLC coating and its effects on mechanical properties. For machining different materials, it provides a reference to make a suitable selection and design of DLC coating to obtain better machining performance.

Traditional PID control faces challenges in addressing parameter uncertainty and nonlinearity in active suspension electrohydraulic servo actuators, leading to suboptimal performance. To address these challenges, a fractional-order PID (FOPID) controller optimization method based on the Multi-Strategy Improved Beluga Whale Optimization (MSIBWO) algorithm is proposed. Simulation results in MATLAB/Simulink demonstrate that the MSIBWO-FOPID controller significantly outperforms traditional PID and BWO-FOPID controllers in force tracking and robustness. For step input, the rise time and the root mean square error(RMSE) are reduced by 66.7 % and 70.3 % , respectively, compared to BWO-FOPID. For sine inputs, the system achieves better disturbance rejection and higher precision. Using a half-car model, the MSIBWO-FOPID controller improves ride comfort significantly. Under random road excitation, the RMSE values of the vehicle body’s vertical acceleration and pitch angle acceleration are reduced by 51.7 % and 13.1 % , respectively, compared to passive suspension, outperforming both PID and BWO-FOPID controllers.

The cellular-mesenchymal to epithelial transition factor (MET) gene plays a crucial role in maintaining cell homeostasis, motility, and apoptosis. In cancer, MET gene alterations promote tumour cell proliferation, invasion and metastasis. In non-small cell lung cancer (NSCLC), MET gene alterations include MET exon 14 (METex14) skipping mutation (METΔ14ex), MET amplification (METamp), MET fusion, and MET tyrosine kinase domain missense mutations (MET-TKD) and MET protein overexpression. Among them, the METΔ14ex is an independent driver gene of NSCLC. Three to four per cent of NSCLC patients carry METΔ14ex, and these patients have a poor prognosis and respond poorly to conventional chemotherapy. Small molecule highly selective MET inhibitors such as carmatinib, tepotinib, and cervotinib have shown promising efficacy and safety in clinical trials. Monoclonal antibodies, bispecific antibodies, antibody conjugate drugs, and immune checkpoint inhibitors provide more treatment space for patients with METΔ14ex. In this review, we summarize the current application and research of MET inhibitors and immune checkpoint inhibitors in NSCLC with METΔ14ex and provide recommendations for precise treatment of NSCLC patients with MET gene changes mutations. It also provides new ideas for solving the problems of synergistic effect and drug resistance in targeted therapy and immunotherapy.

Stroke-associated pneumonia (SAP) usually complicates stroke and is linked to adverse prognoses. Triglycerides, total cholesterol, and body weight index (TCBI) is a new and simple calculated nutrition index. This study seeks to investigate the association between TCBI and SAP incidence, along with its predictive value. Nine hundred and sixty-two patients with acute ischemic stroke were divided into SAP group and Non-SAP group. The TCBI was divided into three layers: T1, TCBI < 948.33; T2, TCBI 948.33-1647.15; T3, TCBI > 1647.15. Binary Logistic regression analysis was used to determine the relationship between TCBI levels and the incidence of SAP. Furthermore, restricted cubic splines (RCS) analysis was utilized to evaluate the influence of TCBI on the risk of SAP. TCBI in the SAP group was markedly lower compared to that in the Non-SAP group ( < 0.001). The Logistic regression model revealed that, using T3 layer as the reference, T1 layer had the highest risk for SAP prevalence (OR = 2.962, 95% CI: 1.600-5.485, = 0.001), with confounding factors being controlled. The RCS model found that TCBI had a linear relationship with SAP ( for nonlinear = 0.490, for overall = 0.004). Moreover, incorporating TCBI into the A DS (Age, atrial fibrillation, dysphagia, sex, and severity) model substantially enhanced the initial model's predictive accuracy. Low TCBI was associated with a higher risk of SAP. In clinical practice, TCBI has shown predictive value for SAP, contributing to early intervention and treatment of SAP.

Background and aims Post-stroke depression (PSD), as one of the common complications after stroke, seriously affects the physical and mental health and functional prognosis of patients. Previous studies have shown that the increase of inflammatory mediators is associated with the occurrence of PSD. Lipocalin 2 (LCN2), as an acute phase protein, is involved in the development of acute ischemic stroke (AIS), and its expression is up-regulated in patients with depression, suggesting that there is a potential correlation between serum LCN2 and depression. The aim of this study was to explore the relationship between serum LCN2 at admission and PSD at discharge. Methods A total of 358 AIS patients were retrospectively included. All patients had fasting venous blood taken within 24 h of admission to detect serum LCN2. The patients were evaluated by 17-item Hamilton Depression Scale (HAMD) before discharge. Patients with HAMD score > 7 were diagnosed with PSD. The correlation between serum LCN2 and PSD was tested using binary logistic regression analysis. Results In our study, 92 (25.7%) patients were diagnosed with PSD at discharge. According to the serum LCN2 value, the patients were divided into three layers (Tertile1 ≤ 105.24ng/ml; Tertile2: 105.24-140.12ng/ml; Tertile3 ≥ 140.12ng/ml), with T1 layer (the lowest levels) as a reference, after adjusting for multiple potential confounding factors, T3 layer (the highest levels) was independently associated with the occurrence of PSD (odds ratio [OR] = 2.639, 95% confidence interval [CI]: 1.317–5.287, P  = 0.006). Similar results were found when the serum LCN2 was analyzed as a continuous variable. The optimal cut-off value of serum LCN2 at admission to predict PSD at discharge was 117.60ng/ml, at this threshold, the sensitivity was 77.2%, and the specificity was 53.4%. Conclusions High serum LCN2 levels at admission are an independent risk factor for PSD in patients with AIS at discharge.

Patients with hepatocellular carcinoma (HCC) are usually diagnosed at the later stages and have poor survival outcomes. New molecules are urgently needed for the prognostic predication and individual treatment. Our study showed that high levels of NQO1 expression frequently exist in HCC with an obvious cancer‐specific pattern. Patients with NQO1‐high tumors are significantly associated with poor survival outcomes and serve as independent predictors. Functional experiments showed that NQO1 promotes the growth and aggressiveness of HCC in both in vitro and in vivo models, and the underlying mechanism involved NQO1‐derived amplification of ERK/p38‐NRF2 signaling. Combined block of ERK and NRF2 signaling generated stronger growth inhibition compared with any single block, especially for HCC with high‐NQO1. Therefore, NQO1 is a potential biomarker for HCC early diagnosis and prognosis prediction, and also attractive for cancer‐specific targets for HCC treatment. Patients with NQO1‐high tumors are significantly associated with poor survival outcomes. NQO1 promotes the growth and aggressiveness of HCC in both in vitro and in vivo models; the underlying mechanism involves NQO1‐derived amplification of ERK/p38‐NRF2 signaling. NQO1 is a potential biomarker for HCC early diagnosis and prognosis prediction, and also attractive for cancer‐specific targets for HCC treatment.

Empirical analysis of the relative effectiveness of the Giant Panda National Park (GPNP) system can promote the optimization and improvement of its management level. Normalized Difference Vegetation Index (NDVI) is a key indicator to measure the health of ecosystems, which can effectively quantitatively reveal the spatial and temporal changes of ecological protection effects. This study evaluated the relative effectiveness of Normalized Difference Vegetation Index (NDVI) protection in the Sichuan area of the GPNP from 2000 to 2020 using the propensity score matching model (PSM). It also explored the influencing factors and interactions of each period by combining the Optimal Parameter-based Geographical Detector Model (OPGD). The results showed that: 1) The study area’s Relative Effectiveness Index (REI) was positive, suggesting effective ecological protection. The REI fell from 0.044 in 2000 to 0.031 in 2015 and although it then increased to 0.034 in 2020 to a small extent, the REI showed an overall decreasing trend, and the conservation effect has weakened. 2)The REI change patterns varied in different functional zones of the area, with a general fluctuation and decline, in which the Minshan and Baishuijiang Core Protection Area (MBJ-CPA) as a whole first rise and then fall, and it is the area with the best relative effectiveness of protection. 3) Natural factors such as temperature and elevation are the main factors affecting NDVI, while the influence of policy and economic factors such as the level of protected areas and distance to towns are increasing. The Qionglaishan and Adjacent Areas General Control Area (QLA-GCA) is dominated by the interaction of landscape pattern index with its remaining factors, and the rest of the functional areas are dominated by the interaction of natural factors such as temperature, evapotranspiration with its remaining factors. Therefore, in future development, the Qionglaishan Areas need to pay more attention to the optimization of landscape patterns, while the other areas need to pay more attention to the impact of climate change on the ecosystem. This study can provide a reference for the improvement and management of ecological protection of the GPNP system in the future.

Research suggests that insulin resistance (IR) is associated with acute ischemic stroke (AIS) and depression. The use of insulin-based IR assessments is complicated. Therefore, we explored the relationship between four non-insulin-based IR indices and post-stroke depression (PSD). A total of 638 consecutive AIS patients were enrolled in this prospective cohort study. Clinical data were collected to compute indices such as the triglyceride glucose (TyG) index, triglyceride glucose-body mass index (TyG-BMI), insulin resistance metabolic score (METS-IR), and triglyceride/high-density lipoprotein cholesterol ratio (TG/HDL-C). One month post-stroke, neuropsychological assessments were conducted using the 17-item Hamilton Depression Scale. Binary logistic regression analysis was performed to explore the relationship between the four non-insulin-based IR indices and PSD. Ultimately, 381 patients completed the 1-month follow-up, including 112 (29.4%) with PSD. The PSD group exhibited significantly higher levels of the four IR indices compared to the non-PSD group. Logistic regression analysis demonstrated that these indicators were independently associated with PSD occurrence, both before and after adjusting for potential confounders (all P < 0.001). Tertile analyses indicated that the highest tertile group had a greater risk of PSD occurrence than the lowest tertile group for four IR indicators, even after adjusting for potential confounders (all P < 0.05). Restricted cubic spline analysis revealed a linear dose-response relationship between the four IR indices and PSD. In the subgroup analysis, only the TyG index showed a significant interaction with diabetes (P for interaction = 0.014). The area under curve values for the TyG index, TyG-BMI, METS-IR, and TG/HDL-C were 0.700, 0.721, 0.711, and 0.690, respectively. High TyG index, TyG-BMI, METS-IR, and TG/HDL-C at baseline were independent risk factors for PSD in AIS. Each of these indicators exhibits predictive value for PSD occurrence, aiding in the early identification of high-risk groups.

Post-stroke cognitive impairment (PSCI) is one of the main complications after stroke. The association between the hemoglobin-to-red cell distribution width ratio (HRR) and PSCI remains inadequately explored. Consequently, we performed a prospective study to assess whether HRR levels are associated with changes in cognitive function after acute ischemic stroke (AIS). A total of 296 AIS patients were recruited. HRR was measured within 24 h of admission, and cognitive function was assessed using the Mini-Mental State Examination (MMSE) one month post-onset. Logistic regression analysis was performed to identify independent risk and protective factors for the occurrence of PSCI. Restricted cubic splines (RCS) were used to explore the dose-response relationship between HRR and PSCI. 129 of 296 participants (43.6%) developed cognitive impairment at 1 month. HRR in PSCI group was significantly lower than that in non-cognitive impairment group ( < 0.001). When HRR was taken as the categorical variable and with Q4 as the reference, the risk of PSCI in Q1 was the highest after adjusting multiple potential confounding factors (odds ratio [OR] = 2.702, 95% confidence interval [CI]= 1.222-5.977, = 0.014). In addition, RCS curve exhibited that the relationship between HRR and PSCI was linear ( for nonlinear = 0.972, for overall = 0.012). Subgroup analysis verified the stability of the results. Reduced HRR levels were linked to an increased risk of cognitive impairment, indicating that HRR may serve as a predictive factor for PSCI.

Purpose An analytical method was developed for determining ropivacaine and its main metabolite, 3-hydroxyropivacaine in biomedical samples using gas chromatography-tandem mass spectrometry (GC–MS/MS). Then, this established method was applied to investigate the distribution of ropivacaine and its metabolite in human fluids and solid tissues obtained from an authentic case ropivacaine involved. Methods The fluid sample was added acetonitrile, and solid tissue was homogenized using a freezer mill and then added into acetonitrile. Then, an internal standard solution was added to the mixtures. The mixture was centrifuged at 12,000 × g for 5 min, and the upper layer of acetonitrile was transferred to magnesium sulfate and octadecyl silica (C18) gel for cleaning up the sample. After centrifugation, the upper layer was then evaporated to dryness with nitrogen, and dissolved with methanol, then injected into the GC–MS/MS system. Results The coefficients of determination (r 2 ) of constructed calibration curves were all greater than 0.999. The limits of detection for ropivacaine and 3-hydroxyropivacaine in target samples were 15 ng/mL and 10 ng/mL, respectively. The recovery rates of ropivacaine and 3-hydroxyropivacaine ranged from 97.6% to 103% and from 96.5% to 104%, respectively. The inter-day precision values of ropivacaine and 3-hydroxyropivacaine were not greater than 6.25% and 7.98%, respectively, and the inter-day trueness values were not greater than 6.90% and 8.33%, respectively; the intra-day precision and trueness values of ropivacaine and 3-hydroxyropivacaine were not greater than 3.20%, 6.78%, 7.84% and 8.99%, respectively. Conclusions GC–MS/MS method for simultaneous detection and quantification of ropivacaine and 3-hydroxyropivacaine in biological samples was successfully developed. The method could also be applied to samples obtained from an authentic case; their distribution among tested fluids and solid tissues were also measured. This is the first report on the distribution of ropivacaine and its major metabolite 3-hydroxyropivacaine in a human case.