Abstract
The engine mount transmission force can be used as an important basis to evaluate the vibration isolation performance of the engine mounting system. However, there is a lack of testing ...equipment and methods for the transmission force. The force sensor and the test method of the transmission force is studied. The finite element model of the mounting element is established to analyze the arrangement position of the sensor. The force sensor is developed based on the resistance strain gauge. The sensor is arranged in the middle of the intermediate bolt. The test system of mount transmission force is established at the same time. The driving force of driving wheel is obtained through the chassis dynamometer test. The force sensor is calibrated base on the test data. The results of mounting transmission force are obtained through the vehicle road test.
Organic‐inorganic hybrid perovskite solar cells are susceptible to multiple influencing factors such as moisture, oxygen, heat stress, ion migration. Given the complex practical working conditions ...for solar cells, a fundamental question is how different failure mechanisms collaborate and substantially accelerate the device degradation. In this study, it is found that ion migration can accelerate the reaction between oxygen and methylammonium lead iodide perovskite in light conditions. This is suggested since regions with local electric fields suffer from more severe decomposition. Here it is reported that cesium ions (Cs+) incorporated in perovskite lattice, with a moderate doping concentration (e.g. 5%), can function as stabilizers to efficiently interrupt such a synergistic effect between oxygen induced degradation and ion migration while retaining the high performance of perovskite solar cells. Both experimental and theoretical results suggest that 5% Cs+ ions incorporation simultaneously suppresses the formation of reactive superoxide ions (O2−) as well as ion migration in perovskites by forming additional energy barriers. This A‐site cations engineering is also a promising strategy to circumvent the detrimental effect of oxygen molecules in FA‐based perovskites, which is important for developing high‐efficiency perovskite solar cells with enhanced stability.
The synergistic effect between oxygen‐photon‐induced decay and ion migration in accelerating the decomposition of perovskite materials is unveiled. A simple but efficient method, Cs+ ion doping, can simultaneously reduce the O2− ion generation and suppress ion migration to block such degradation. This work opens up new insights in designing efficient perovskite solar cells with long‐term stability.
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FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SBCE, SBMB, UL, UM, UPUK
Abstract
The tumor microenvironment is distinctive in primary and secondary liver cancer. B cells represent an important component of immune infiltrates. Here, we demonstrated that B cells are an ...important regulator in hepatocellular carcinoma (HCC) and colorectal cancer liver metastasis (CRLM) microenvironments. B cells displayed distinct developmental trajectories in HCC and CRLM. Single-cell analysis revealed that IgG+ plasma cells preferentially accumulated in HCC, whereas IgA+ plasma cells were preferentially enriched in CRLM. Mechanistically, IgG+ plasma cells in HCC were recruited by tumor-associated macrophages via the CXCR3–CXCL10 axis, whereas IgA+ plasma cells in CRLM were recruited by metastatic tumor cells via CCR10–CCL28 signaling. Functionally, IgG+ plasma cells preferentially promoted protumorigenic macrophages formation in HCC, and IgA+ plasma cells preferentially induced granulocytic myeloid-derived suppressor cells activation in CRLM. Clinically, increased infiltration of IgG+ plasma cells and macrophages in HCC was correlated to worse survival, whereas increased intratumoral IgA+ plasma cells and neutrophils in CRLM indicated poor prognosis. Taken together, this study demonstrated plasma and myeloid cell-mediated immunosuppression in HCC and CRLM, suggesting that selectively modulating primary or secondary tumor-related immunosuppressive regulatory networks might reprogram the microenvironment and provide an immunotherapeutic strategy for treating liver cancer.
Significance:
The immunomodulatory patterns of tumor-infiltrating B cells are distinct in primary and secondary liver cancer, with plasma cells mediating important physiologic processes that drive cancer progression.
β-Cyclodextrin-propyl sulfonic acid (β-CD-PSA) is reported as a new and eco-friendly catalyst for the synthesis of 3,4-dihydropyrimidinones from one-pot multi-component reaction of aromatic ...aldehydes, 1,3-dicarbonyl compounds and urea or thiourea under solvent-free conditions. The present methodology offers several advantages, such as shorter reaction time, high yields, mild reaction conditions and a simple work-up procedure. Furthermore, β-CD-PSA is inexpensive, biodegradable, and can be reusable. It could be reused six-times without a significant loss of catalytic activity.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UL, UM, UPCLJ, UPUK
Targeted therapy and immunotherapy are transforming the treatment approach for intrahepatic cholangiocarcinoma (ICC). However, little is known about the intertumor heterogeneity (ITH) of multifocal ...ICC and its impacts on patient response to these treatments. We aimed to characterize the immunogenomic and epigenomic heterogeneity of multifocal ICC to guide treatment decision making.
We obtained 66 tumor samples from 16 patients with multifocal ICC and characterized the tumor and immune heterogeneity using whole-exome sequencing, bulk and single-cell RNA sequencing, methylation microarray, and multiplex immunostaining. Patients were divided into high- or low-ITH groups according to the median ITH index. Two independent cohorts were used to validate findings. Responses to anti-PD-1 therapy were assessed.
Multifocal ICC presented considerable intertumor genomic, transcriptional, and epigenomic heterogeneity within a patient in high ITH group. The immune profile among multiple tumors within a patient was relatively less heterogeneous in high- or low-ITH group, and consistent responses of multiple tumors to anti-PD-1 immunotherapy were observed. Unsupervised clustering of immune markers identified one low and one high immune subtype, with higher immune cell infiltration, closer tumor-immune cell interactions, and upregulated IFN-signature expression in high-immune subtype. Determining expression levels of CD8B and ICOS facilitated this immune classification and prediction of patient prognosis. Finally, promoter DNA methylation contributed to different immune profiles of two subtypes by regulating immune-gene expression.
There is comprehensive heterogeneity in the genome, transcriptome, and epigenome of multifocal ICC. On the basis of the less heterogeneous immune profile of ICC, we suggest an immune classification that stratifies patients' prognosis and may support personalized immunotherapy.
Developers often need to decide which APIs to use for the functions being implemented. With the ever-growing number of APIs and libraries, it becomes increasingly difficult for developers to find ...appropriate APIs, indicating the necessity of automatic API usage recommendation. Previous studies adopt statistical models or collaborative filtering methods to mine the implicit API usage patterns for recommendation. However, they rely on the occurrence frequencies of APIs for mining usage patterns, thus prone to fail for the low-frequency APIs. Besides, prior studies generally regard the API call interaction graph as homogeneous graph, ignoring the rich information (e.g., edge types) in the structure graph. In this work, we propose a novel method named MEGA for improving the recommendation accuracy especially for the low-frequency APIs. Specifically, besides call interaction graph , MEGA considers another two new heterogeneous graphs: global API co-occurrence graph enriched with the API frequency information and hierarchical structure graph enriched with the project component information. With the three multi-view heterogeneous graphs, MEGA can capture the API usage patterns more accurately. Experiments on three Java benchmark datasets demonstrate that MEGA significantly outperforms the baseline models by at least 19% with respect to the Success Rate@1 metric. Especially, for the low-frequency APIs, MEGA also increases the baselines by at least 55% regarding the Success Rate@1 score.
Abstract Bacterial infection and inferior osseointegration are major complications associated with titanium (Ti) based implants. Although surface‐engineered zinc oxide (ZnO) nanorods exhibit ...remarkable antibacterial ability, their potential biomedical applications are hampered by their pronounced cytotoxicity. Herein, inspired by the in vivo degradation process of znic, ZnO nanorods are converted into thermodynamically more stable zinc phosphate (Zn 3 (PO 4 ) 2 ）through a simple hydrothermal treatment in a hydrogen phosphate solution. By adjusting the conversion ratio, the surface morphology, release of zinc ions (Zn 2+ ), and generation of reactive oxygen species can be finely tailored to overcome the cytotoxicity of ZnO nanorods while preserving their antibacterial capability. Furthermore, an optimized amount of Zn 2+ released from the ZnO/Zn 3 (PO 4 ) 2 hybrid coating enhances osteogenic differentiation and extracellular matrix mineralization of human bone marrow mesenchymal stem cells by reprogramming their metabolic configuration. An implant‐related infection model in rabbit femurs indicates that the hybrid ZnO/Zn 3 (PO 4 ) 2 coating can even promote osseointegration in the presence of pathogenic bacteria. This surface modification strategy which endows Ti‐based implants with superior anti‐bacterial and pro‐osteogenic properties holds great clinical potential for orthopedic and dental applications.
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BFBNIB, FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SBCE, SBMB, UL, UM, UPUK
Aiming at the truck scheduling problem between the outer yard and multi-terminals, the appointment optimization model of truck is established. In this model, the queue time and the operation time of ...truck during the appointment period of different terminals are different. Under the restriction of given appointment quotas of each appointment period, determine the arrival amount of trucks in each appointment period. The goal is to reduce carbon emissions and total costs, improve the efficiency of truck scheduling. To solve this model, hybrid genetic algorithm with variable neighborhood search was designed. Firstly, generate chromosomes, and the front part of the chromosome represents the demand for 40 ft containers and the back part represents the demand for 20 ft containers. Then, the route is generated according to the time constraint and appointment quotas of each appointment period. Finally, the neighborhood search strategy is adopted to improve the solution quality. The validity of the model and algorithm were verified by an example. A low-carbon scheduling scheme was obtained under truck appointment system. The results show that the scheduling scheme under truck appointment system uses fewer trucks, improves the efficiency of delivery, reduces the total costs, and it takes into account the requirements of low carbon.
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