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CdS quantum dots (CdS QDs) are regarded as a promising photocatalyst due to their remarkable response to visible light and suitable placement of conduction bands and valence bands. However, the problem of photocorrosion severely restricts their application. Herein, the CdS QDs-Co9S8 hollow nanotube composite photocatalyst has been successfully prepared by loading Co9S8 nanotubes onto CdS QDs through an electrostatic self-assembly method. The experimental results show that the introduction of Co9S8 cocatalyst can form a stable structure with CdS QDs, and can effectively avoid the photocorrosion of CdS QDs. Compared with blank CdS QDs, the CdS QDs-Co9S8 composite exhibits obviously better photocatalytic hydrogen evolution performance. In particular, CdS QDs loaded with 30% Co9S8 (CdS QDs-30%Co9S8) demonstrate the best photocatalytic performance, and the H2 production rate reaches 9642.7 μmol·g−1·h−1, which is 60.3 times that of the blank CdS QDs. A series of characterizations confirm that the growth of CdS QDs on Co9S8 nanotubes effectively facilitates the separation and migration of photogenerated carriers, thereby improving the photocatalytic hydrogen production properties of the composite. We expect that this work will facilitate the rational design of CdS-based photocatalysts, thereby enabling the development of more low-cost, high-efficiency and high-stability composites for photocatalysis.

CdS quantum dots (CdS QDs) are regarded as a promising photocatalyst due to their remarkable response to visible light and suitable placement of conduction bands and valence bands. However, the problem of photocorrosion severely restricts their application. Herein, the CdS QDs-Co[sub.9]S[sub.8] hollow nanotube composite photocatalyst has been successfully prepared by loading Co[sub.9]S[sub.8] nanotubes onto CdS QDs through an electrostatic self-assembly method. The experimental results show that the introduction of Co[sub.9]S[sub.8] cocatalyst can form a stable structure with CdS QDs, and can effectively avoid the photocorrosion of CdS QDs. Compared with blank CdS QDs, the CdS QDs-Co[sub.9]S[sub.8] composite exhibits obviously better photocatalytic hydrogen evolution performance. In particular, CdS QDs loaded with 30% Co[sub.9]S[sub.8] (CdS QDs-30%Co[sub.9]S[sub.8]) demonstrate the best photocatalytic performance, and the H[sub.2] production rate reaches 9642.7 μmol·g[sup.−1]·h[sup.−1], which is 60.3 times that of the blank CdS QDs. A series of characterizations confirm that the growth of CdS QDs on Co[sub.9]S[sub.8] nanotubes effectively facilitates the separation and migration of photogenerated carriers, thereby improving the photocatalytic hydrogen production properties of the composite. We expect that this work will facilitate the rational design of CdS-based photocatalysts, thereby enabling the development of more low-cost, high-efficiency and high-stability composites for photocatalysis.

CdS quantum dots (CdS QDs) are regarded as a promising photocatalyst due to their remarkable response to visible light and suitable placement of conduction bands and valence bands. However, the problem of photocorrosion severely restricts their application. Herein, the CdS QDs-Co S hollow nanotube composite photocatalyst has been successfully prepared by loading Co S nanotubes onto CdS QDs through an electrostatic self-assembly method. The experimental results show that the introduction of Co S cocatalyst can form a stable structure with CdS QDs, and can effectively avoid the photocorrosion of CdS QDs. Compared with blank CdS QDs, the CdS QDs-Co S composite exhibits obviously better photocatalytic hydrogen evolution performance. In particular, CdS QDs loaded with 30% Co S (CdS QDs-30%Co S ) demonstrate the best photocatalytic performance, and the H production rate reaches 9642.7 μmol·g ·h , which is 60.3 times that of the blank CdS QDs. A series of characterizations confirm that the growth of CdS QDs on Co S nanotubes effectively facilitates the separation and migration of photogenerated carriers, thereby improving the photocatalytic hydrogen production properties of the composite. We expect that this work will facilitate the rational design of CdS-based photocatalysts, thereby enabling the development of more low-cost, high-efficiency and high-stability composites for photocatalysis.

LncRNA AL161431.1 is currently known as a factor that can promote epithelial-mesenchymal transition. However, its role in the prognosis, immune infiltration and progression of bladder cancer (BLCA)patients is still unclear. The expression of AL161431.1 is elevated in BLCA tissues compared to normal tissues according to the TCGA database. By combining this data with clinical information, patients with high AL161431.1 expression have more advanced clinicopathological stages and shorter survival periods. Furthermore, AL161431.1 was identified as an independent prognostic factor for bladder cancer. We further analyzed the differences in immune infiltration, tumor mutation burden (TMB), immune checkpoints, and sensitivity to immunotherapy between groups with different levels of AL161431.1 expression. Enrichment analysis demonstrated that AL161431.1 is associated with numerous immune signaling pathways. High expression of AL161431.1 in cancer tissues was confirmed by qRT-PCR. CCK8, transwell, and wound healing demonstrated the oncogenic effects of AL161431.1. In conclusion, AL161431.1 is associated with immune infiltration in bladder cancer and has the potential to become a biomarker for predicting the prognosis of BLCA.

To improve the accuracy of camera pose estimation for RGBD-based 3D reconstruction in dynamic scenes, a method based on instance segmentation and optical flow is proposed. Firstly, instance segmentation is used to detect objects, and a semantic map is constructed by removing non-rigid objects. Secondly, motion residual is calculated by optical flow and camera flow to detect dynamic rigid objects, and nonlinear optimization is used to track the dynamic rigid objects extracted from the semantic map. Thirdly, after removing features of non-rigid objects and dynamic rigid ones in each frame, the remaining features are used to optimize the camera pose. Finally, a TSDF model is used to reconstruct the static background, and point clouds are used to reconstruct dynamic rigid objects. Experiments on TUM and Bonn datasets show that the method produces better camera poses than the current state-of-the-art methods in most dynamic scenes. Ablation experiments on Bonn dataset show that retaining features of static rigid objects significantly improves camera pose estimation precision. The annotated datasets and the source code are available at https://github.com/CodingMaplee/IOFusion/tree/main .

Preparation stable and continuous lanthanide metal–organic frameworks (Ln-MOFs) crystalline film coated on flexible substrate is a challenge for application. Herein a kind of novel nanoscale Eu-MOFs film on silk fabric for temperature sensing was successfully prepared. The silk fabric was coated with titanium dioxide (TiO 2 ) via different atomic layer deposition (ALD) cycles, and then the Eu-MOFs can grow to nanoscale continuous film on the substrate. The composite was characterized by SEM, TEM, XPS, TG and PL. Fluorescence detection of temperature was also studied, and in a wide temperature range (77 K to 423 K), the fluorescence detection was sensitive and fitted to linear equation. In addition, the functional silk fabric exhibited different fluorescence detection behavior to temperature at different pH preparation conditions. At neutral preparation conditions, the fluorescence color of the functional silk fabric was dark yellow. The silk fabric exhibited rapid response in detection of temperature. At acidic preparation conditions, the fluorescence color was bright yellow, but it did not have detection effect. At alkaline preparation conditions, blue purple fluorescence was presented, and the temperature detection was also sensitive and fast. It is an effective method to obtain Ln-MOFs flexible film materials, and apply in the field of intelligent detection and wearing.

IgA nephropathy (IgAN), the most common glomerulonephritis, has an unclear pathogenesis. The role of Th22 cells, which are intimately related to proteinuria and progression in IgAN, in mediating infection-related IgAN is unclear. This study aimed to characterize the association between intrinsic renal cells (tubular epithelial cells and mesangial cells) and Th22 cells in immune regulation of infection-related IgAN and to elucidate the impact of Th22 lymphocytosis; the proinflammatory cytokines IL-1, IL-6, and TNF-α; and CCL chemokines on kidney fibrosis. Hemolytic streptococcus infection induced an increase in IL-1, IL-6, and TNF-α, resulting in Th22 cell differentiation from T lymphocytes obtained from patients with IgAN, and the CCL20–CCR6, CCL22–CCR4, and/or CCL27–CCR10 axes facilitated Th22 cell chemotaxis. The increased amount of Th22 cells caused an increase in TGF-β1 levels, and anti-CD80, anti-CD86, and CTLA-4Ig treatment reduced TGF-β1 levels by inhibiting Th22 lymphocytosis and secretion of cytokines and chemokines, thus potentially relieving kidney fibrosis. Our data suggest that Th22 cells might be recruited into the kidneys via the CCL20–CCR6, CCL22–CCR4, and/or CCL27–CCR10 axes by mesangial cells and tubular epithelial cells in infection-related IgAN. Th22 cell overrepresentation was attributed to stimulation of the B7–CTLA-4Ig antigen-presenting pathway and IL-1, IL-6, and TNF-α.

LncRNA AL161431.1 is currently known as a factor that can promote epithelial-mesenchymal transition. However, its role in the prognosis, immune infiltration and progression of bladder cancer (BLCA)patients is still unclear. The expression of AL161431.1 is elevated in BLCA tissues compared to normal tissues according to the TCGA database. By combining this data with clinical information, patients with high AL161431.1 expression have more advanced clinicopathological stages and shorter survival periods. Furthermore, AL161431.1 was identified as an independent prognostic factor for bladder cancer. We further analyzed the differences in immune infiltration, tumor mutation burden (TMB), immune checkpoints, and sensitivity to immunotherapy between groups with different levels of AL161431.1 expression. Enrichment analysis demonstrated that AL161431.1 is associated with numerous immune signaling pathways. High expression of AL161431.1 in cancer tissues was confirmed by qRT-PCR. CCK8, transwell, and wound healing demonstrated the oncogenic effects of AL161431.1. In conclusion, AL161431.1 is associated with immune infiltration in bladder cancer and has the potential to become a biomarker for predicting the prognosis of BLCA.

Silicon (Si) has been shown to promote peanut growth and yield, but whether Si can enhance the resistance against peanut bacterial wilt (PBW) caused by Ralstonia solanacearum, identified as a soil-borne pathogen, is still unclear. A question regarding whether Si enhances the resistance of PBW is still unclear. Here, an in vitro R. solanacearum inoculation experiment was conducted to study the effects of Si application on the disease severity and phenotype of peanuts, as well as the microbial ecology of the rhizosphere. Results revealed that Si treatment significantly reduced the disease rate, with a decrement PBW severity of 37.50% as compared to non-Si treatment. The soil available Si (ASi) significantly increased by 13.62–44.87%, and catalase activity improved by 3.01–3.10%, which displayed obvious discrimination between non-Si and Si treatments. Furthermore, the rhizosphere soil bacterial community structures and metabolite profiles dramatically changed under Si treatment. Three significantly changed bacterial taxa were observed, which showed significant abundance under Si treatment, whereas the genus Ralstonia genus was significantly suppressed by Si. Similarly, nine differential metabolites were identified to involve into unsaturated fatty acids via a biosynthesis pathway. Significant correlations were also displayed between soil physiochemical properties and enzymes, the bacterial community, and the differential metabolites by pairwise comparisons. Overall, this study reports that Si application mediated the evolution of soil physicochemical properties, the bacterial community, and metabolite profiles in the soil rhizosphere, which significantly affects the colonization of the Ralstonia genus and provides a new theoretical basis for Si application in PBW prevention.

Silicon (Si) has been shown to promote peanut growth and yield, but whether Si can enhance the resistance against peanut bacterial wilt (PBW) caused by Ralstonia solanacearum, identified as a soil-borne pathogen, is still unclear. A question regarding whether Si enhances the resistance of PBW is still unclear. Here, an in vitro R. solanacearum inoculation experiment was conducted to study the effects of Si application on the disease severity and phenotype of peanuts, as well as the microbial ecology of the rhizosphere. Results revealed that Si treatment significantly reduced the disease rate, with a decrement PBW severity of 37.50% as compared to non-Si treatment. The soil available Si (ASi) significantly increased by 13.62-44.87%, and catalase activity improved by 3.01-3.10%, which displayed obvious discrimination between non-Si and Si treatments. Furthermore, the rhizosphere soil bacterial community structures and metabolite profiles dramatically changed under Si treatment. Three significantly changed bacterial taxa were observed, which showed significant abundance under Si treatment, whereas the genus Ralstonia genus was significantly suppressed by Si. Similarly, nine differential metabolites were identified to involve into unsaturated fatty acids via a biosynthesis pathway. Significant correlations were also displayed between soil physiochemical properties and enzymes, the bacterial community, and the differential metabolites by pairwise comparisons. Overall, this study reports that Si application mediated the evolution of soil physicochemical properties, the bacterial community, and metabolite profiles in the soil rhizosphere, which significantly affects the colonization of the Ralstonia genus and provides a new theoretical basis for Si application in PBW prevention.