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This study aims to investigate the relationship among green knowledge sharing, green dynamic capabilities, green service innovation, and green competitive advantage. The data were analyzed using descriptive statistics and CFA. The results are as follows: First, the author found that latent variables have good reliability, as well as discriminant and convergent validity. Global model analysis of green knowledge sharing yields acceptable results. Second, according to structural equation modeling analysis, the overall fit measures of the green knowledge sharing model scale passes the threshold standard (χ 2  = 810.66, p  < .05, GFI = 0.83, RMSEA = 0.094, NFI = 0.87, CFI = 0.90, SRMR = 0.051, NNFI = 0.88, PNFI = 0.76, CN = 101.95, χ 2 /df = 4.43). Third, the author discovered that green knowledge sharing improves green dynamic capacities, green service innovation, and green competitive advantage. Green dynamic capabilities positively affect green service innovation and green competitive advantage. Furthermore, it was found that green dynamic capacities and green service innovation mediate the positive relationship between green knowledge sharing and green competitive advantage. The results demonstrate that green dynamic capabilities and green service innovation mediates the positive relationships between green knowledge sharing and green competitive advantage. In addition, this study indicates that green service innovation partially mediates the positive relationships between green competitive advantage and its antecedent—green dynamic advantage.

This study investigated the relationship among green enjoyment, green brand love, green intrinsic motivation, and green purchase intention. Data were collected from 26 August to 16 September 2022, through a questionnaire survey distributed online, and quantitative instruments were applied to analyze the data. A total of 302 randomly selected samples from consumers with experience of green consumption were analyzed. The data were analyzed using descriptive statistics and confirmatory factor analysis. The results revealed that the content, discriminant, and convergent validity and reliability of the model were satisfactory. Global model analysis of green intrinsic motivation revealed acceptable results. Moreover, structural equation modeling indicated a satisfactory model fit to the standard sample data. Finally, the study revealed that green intrinsic motivation positively influences green enjoyment, green brand love, and green purchase intention. Green enjoyment positively affects green brand love and green purchase intention. Furthermore, green enjoyment and green brand love mediate the positive relationship between green intrinsic motivation and green purchase intention.

This study examines the influences of market orientation, supply chain relationship quality, and absorptive capacity on competitive advantage in green supply chains. We examine the intensity of these relationships in a green supply chain context. This study aims to figure out the effects of green market orientation (GMO), green supply chain relationship quality (GRQ), and green absorptive capacity (GAC) on green competitive advantage (GCA) in a supply chain. We find a significant positive association between these constructs. It highlights the importance of antecedents such as GMO, GRQ, and GAC on improving GCA. We jointly investigate the effects of GMO, GRQ, and GAC on green supply chain competitive advantage. This study uses Process Macro 2.15 to test the mediation effect between GMO and GCA. The result shows that GRQ and GAC completely mediate the relationship between GMO and GCA and that the effect sizes are 0.11 and 0.20, respectively. This study also reruns the model to clarify whether competing models are better than our model. However, the performance of such a competing model is poor. Finally, we accept our model instead of the competing model. GMO and GRQ among team managers and employees appear to contribute positively to GCA. Although GAC does not directly influence GCA, GMO has a significant total effect on GCA when intervened by GRQ and GAC. The key contribution is that green market orientation, i.e., the employee culture and the emphasis on being environmentally responsible, is a key antecedent to GRQ, GAC, and GCA. Managerial implications of the findings are listed.

Background Reasons for dissatisfaction with total knee arthroplasty (TKA) include unequal flexion or extension gap, soft tissue imbalance, and patella maltracking, which often occur with mismatch between femoral and tibial coronal bony alignment in the knee joint or extremely varus or valgus alignment. However, lower limb coronal alignment classification is based only on hip–knee–ankle angle (HKAA), leading to oversight regarding a mismatch between femoral and tibial coronal alignment. We aimed to classify alignment of the lower limbs according to the mechanical alignment of the femur and tibia in a healthy population. Methods All 214 normal triple films were reviewed retrospectively. HKAA, mechanical lateral distal femoral angle (mLDFA), mechanical medial proximal tibial angle (mMPTA), angle between the femoral anatomical axis and the mechanical axis (AA-MA), and knee alignment angle (KAA) were measured. Subjects were categorized into one of five types based on the mechanical alignment of femur and tibia. Results Mean HKAA, mLDFA, and mMPTA of all subjects were 1.2°, 87.3°, and 85.8°, respectively. All subjects were classified into one of five types with significant differences ( p  < 0.001). About 61% of subjects showed neutral alignment, of which nearly 40% were type 2 (valgus of the femur and varus of the tibia with oblique joint line: mLDFA 85.0° ± 1.4°, mMPTA 85.1° ± 1.2°, TJLA 2.7° ± 2.4°) and 60% exhibited neutral alignment with a neutral femur and tibia (type 1). In varus and valgus types, mismatch between the mechanical angle of the femur and tibia was common. Varus alignment, including types 3 (varus of the tibia: mLDFA 88.0° ± 1.4°, mMPTA 83.5° ± 1.6°) and 4 (varus of both the tibia and femur: mLDFA 91.4° ± 1.4°, mMTPA 85.2° ± 2.0°), was found in 30% of subjects. Valgus alignment (type 5 valgus of femur: mLDFA 84.6° ± 1.6°, mMPTA 88.8° ± 2.0°) accounted for 8.9% of all subjects. Conclusions Mismatch between mechanical alignment of the femur and tibia was common in varus and valgus alignment types. Joint line obliquity was also observed in 40% of the neutral alignment population. This classification provides a quick, simple interpretation of femoral and tibial coronal alignment, and more detailed guidance for preoperative planning for TKA than the traditional varus–neutral–valgus classification.

Background Triple negative breast cancer (TNBC) belongs to the worst prognosis of breast cancer subtype probably because of distant metastasis to other organs, e.g. lungs. However, the mechanism underlying TNBC metastasis remains largely unknown. Methods Bioinformatics analysis was conducted to evaluate the mRNA/protein expression and prognostic significance of G protein–coupled receptor kinase 6 (GRK6) in BC subtypes. RT-PCR assays were used to test the GRK6 expression in human BC tissues and cell lines. The in vitro cellular migration and in vivo lung colony-forming assays were established to estimate the metastatic potentials of TNBC cells. Western blotting was employed to examine protein phosphorylation, translocation and expression in the designed experiments. Results Here we show that GRK6 upregulation is extensively detected in TNBC compared to normal mammary tissues and other BC subtypes and correlates with an increased risk for distant metastasis in TNBC patients. GRK6 knockdown suppressed but overexpression potentiated the cellular migration and lung colony-forming abilities of TNBC cells. Moreover, our data demonstrated that the posttranslational palmitoylation of GRK6 is extremely critical for activating β-Arrestin 2/mitogen-activated protein kinases (MAPKs)/NF-κB signaling axis and fostering the metastatic potentials of TNBC cells. Accordingly, the pharmaceutical inhibition of GRK6 kinase activity dramatically suppressed the activation of β-Arrestin 2, MAPKs and NF-κB and the cellular migration ability of highly metastatic MDA-MB231 cells. Sequentially blocking the β-Arrestin 2/MAPKs/NF-κB axis with their inhibitors predominantly mitigated the GRK6-promoted migration ability of poorly metastatic HCC1937 cells. Conclusion Our results not only provide a novel mechanism for TNBC metastasis but also offer a new therapeutic strategy to combat metastatic TNBC via targeting GRK6 activity.

S100A9, a multifunctional protein mainly expressed by neutrophils and monocytes, poses an immunological paradox. In virus infections or sterile inflammation, it functions as an alarmin attracting innate immune cells, as well as mediating proinflammatory effects through TLR4 signaling. However, in cancer, S100A9 levels have been shown to associate with poor prognosis and lack of response to immunotherapy. Its expression by myeloid cells has been related to an immune suppressive phenotype, the so-called myeloid derived suppressor cells (MDSCs). Targeting S100A9 in cancer has therefore been proposed as a potential way to relieve myeloid-mediated immune suppression. Surprisingly, we found that blocking the extracellular TLR4 signaling from S100A9 using the inhibitor Paquinimod, resulted in increased tumor growth and a detrimental effect on anti-PD-L1 efficacy in the CT26 tumor model. This effect was caused by a reduction in the tumor immune infiltration to about half of untreated controls, and the reduction was made up of a 5-fold decrease in Ly6C high monocytic cells. The suppressive Ly6G + myeloid cells compartment was not reduced by Paquinimod treatment, suggesting alternative mechanisms by which S100A9 contributes to myeloid-mediated suppression. Intratumoral injection of recombinant S100A9 early after mice inoculation with CT26 cells had an anti-tumor effect. These findings indicate an important yet understudied role of S100A9 as an alarmin and immune stimulatory signal in cancer settings, and highlight the potential to exploit such signals to promote beneficial anti-tumor responses.

In this study, a computational fluid dynamics (CFD) model was developed to simulate the aerodynamic performance of the National Renewable Energy Laboratory (NREL) offshore 5‐MW baseline wind turbine with single rotor and full wind turbine. Using statistical methods, the relation between pitch angle and performance when the speed is above the rated wind speed was analyzed; furthermore, other published data were compiled to establish the functional equations of power, thrust with various inflow wind speeds, and pitch angles. In addition, according to shape optimization based on parametric modeling, the two‐dimensional cross‐section of the wind turbine blade can be defined through a metasurface approach, and the three‐dimensional surface modeling of the wind turbine blade, nacelle, and tower is completed using the nonuniform rational B‐splines (NURBS) interpolator. In terms of aerodynamic simulation, the unstructured polygon mesh was used herein to discretize the space and simulate the highly curved and twisted surfaces of the blade. In this study, the compact and accurate mesh form obtained through a grid independence test will be used to analyze the distribution of the pressure coefficient, shear stress coefficient, and limited streamline on the blade surface at various inflow wind speeds and pitch angles to understand the differences between different turbulence models and the causes of power and thrust attenuation at high inflow wind speeds. In addition, the phenomena of blade‐tip vortices, dynamic stall, blade loading, and the interaction between nacelle and tower were collectively explored.

No prior literature explores the influence of green transformational leadership on green performance, thus, this study develops a novel research framework to fill the research gap. This study investigates the influence of green transformational leadership on green performance and discusses the mediation effects of green mindfulness and green self-efficacy by means of structural equation modeling (SEM). The results indicate that green transformational leadership positively influences green mindfulness, green self-efficacy, and green performance. Moreover, this study demonstrates that the positive relationship between green transformational leadership and green performance is partially mediated by the two mediators: green mindfulness and green self-efficacy. It means that green transformational leadership can not only directly affect green performance positively but also indirectly affect it positively through green mindfulness and green self-efficacy. Therefore, firms need to raise their green transformational leadership, green mindfulness, and green self-efficacy to increase their green performance.

Sepsis and septic shock remain the leading causes of death in intensive care units (ICUs), yet the pathogenesis originating from the inflammatory response during sepsis remains ambiguous. Acute-phase proteins are typically highly glycosylated, and the nature of the glycans have been linked to the incidence and severity of such inflammatory responses. To further build upon these findings we here monitored, the longitudinal changes in the plasma proteome and, in molecular detail, glycoproteoform profiles of alpha-1-antichymotrypsin (AACT) extracted from plasma of ten individual septic patients. For each patient we included four different time-points, including post-operative (before sepsis) and following discharge from the ICU. We isolated AACT from plasma depleted for albumin, IgG and serotransferrin and used high-resolution native mass spectrometry to qualitatively and quantitatively monitor the multifaceted glycan microheterogeneity of desialylated AACT, which allowed us to monitor how changes in the glycoproteoform profiles reflected the patient’s physiological state. Although we observed a general trend in the remodeling of the AACT glycoproteoform profiles, e.g. increased fucosylation and branching/LacNAc elongation, each patient exhibited unique features and responses, providing a resilient proof-of-concept for the importance of personalized longitudinal glycoproteoform profiling. Importantly, we observed that the AACT glycoproteoform changes induced by sepsis did not readily subside after discharge from ICU.

This study proposes the development of an underwater object-tracking control system through an image-processing technique. It is used for the close-range recognition and dynamic tracking of autonomous underwater vehicles (AUVs) with an auxiliary light source for image processing. The image-processing technique includes color space conversion, target and background separation with binarization, noise removal with image filters, and image morphology. The image-recognition results become more complete through the aforementioned process. After the image information is obtained for the underwater object, the image area and coordinates are further adopted as the input values of the fuzzy logic controller (FLC) to calculate the rudder angle of the servomotor, and the propeller revolution speed is defined using the image information. The aforementioned experiments were all conducted in a stability water tank. Subsequently, the FLC was combined with an extended Kalman filter (EKF) for further dynamic experiments in a towing tank. Specifically, the EKF predicts new coordinates according to the original coordinates of an object to resolve data insufficiency. Consequently, several tests with moving speeds from 0.2 m/s to 0.8 m/s were analyzed to observe the changes in the rudder angles and the sensitivity of the propeller revolution speed.