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Nonlinear optical rectification (NOR) coefficients in symmetric double-graded quantum wells with different geometrical configurations under non-resonant laser field in the presence of electric and magnetic fields are theoretically investigated. The quantum states under the applied external fields are obtained under effective mass approximation and using diagonalization method. Our calculated results indicate that the above-mentioned external fields play a significant role in manipulating the resonant peak values and peak positions of nonlinear optical rectification coefficients of the quantum system dynamically. Considerable NOR coefficient can be achieved, not only by choosing appropriate laser dressing parameter as well as the electric and magnetic fields, but also by choosing appropriate well and barrier widths. Our results show great advantages in dynamically tuning NOR coefficient of symmetric double-graded quantum wells using multi-physic fields, paving the way for possible application for tunable infrared detector and signal processing based on symmetric double-graded quantum wells. [ABSTRACT FROM AUTHOR]

The assembly operations for robots in unstructured environments face tasks with generalized geometric information. The most essential issue for geometry perception is to estimate the relative pose between mating parts and then plan the corresponding actions. Current perception methods mainly focus on template matching of specific parts, which is still lacking in geometric generalization. To enhance the perception generalization ability, we propose an operation framework combining geometry perception and motion planning for robotic assembly manipulation. Semantic segmentation embodies a strong generalization capacity in image processing, which we utilized to extract the geometric features of assembly parts. The networks are trained via a self-made peg-hole image dataset. To reduce the measurement noise, the virtual point clouds for the peg and hole section are reconstructed with semantic mask and camera image principle, and a uniformization algorithm is adopted to raise the quality of the point clouds. The registration is utilized with the noise-free, uniform virtual point clouds, and the relative pose between two mating parts can be estimated more precisely. Also, the sequence of interactive geometry perception actions is defined. The performance of our framework is validated on assembly experiments, including different geometries in and out of our dataset. The results show that the framework proposed in this paper can perceive the generalization of geometry features for assembly parts, and leads to intelligent robotic assembly. [ABSTRACT FROM AUTHOR]

• FRN layer can improve performance and reduce the dependence on batch size. • ECA DGCNN can enhance the feature learning ability of the model on the graph structure data. • FEPoinTr achieves superior performance on multiple data sets. • The performance loss of FEPoinTr in small batches is significantly less than that of other models. The point cloud data generated by LiDAR sensors has rich spatial geometry information, which is crucial for many fields. However, due to the limitations of the sensor, the point cloud with incomplete geometric information is usually obtained. To solve this problem, we propose FEPoinTr, which improves performance and reduces batch size dependency by introducing an FRN layer to normalize. In addition, the ECA DGCNN network is used to enhance the feature learning ability of the model on the graph structure data. We verified the advantages of FEPoinTr on ShapeNet-55, PCN, and KITTI datasets, achieving 0.90CD on ShapeNet-55, 7.52CD on PCN, and 0.504MMD on real point cloud dataset KITTI. Both index results and visualization results are better than other models. It is worth noting that when the batch size is reduced to 1, the CD index on the ShapeNet-55 is 1.13, the F-Score index is 0.503, and the performance loss at small batches is significantly less than that of other models. [ABSTRACT FROM AUTHOR]

• Constructed a groundwater numerical model by Visual MODFLOW and studized the feasibility of mine water recharge to aquifers. • Analyzed the impact of mine water recharge on the water level and inflow of aquifers. • To ensure the safe mining in the future, the dynamic water inflow under different mining levels was predicted. Water inflow poses a critical safety concern in coal mining. The pressing challenge in current mine water inflow research is the need to enhance the prediction of dynamic changes in mine water inflow across different mining stages. In this study, the hydrogeological conditions and aquifer structural characteristics of the Wutongzhuang Coal Mine in Hebei Province, China were analyzed, and the results were combined with pumping test and drilling data. A numerical model of groundwater flow in the study area was established using Visual MODFLOW and the model was calibrated and verified by comparing its results with the measured values to ensure that it realistically reflected the state of groundwater movement in the study area. The results of numerical simulation indicated that: (1) The water level of the Ordovician aquifer varies significantly by season. A large exposed area of Ordovician limestone in the western mountainous region receives a large amount of rainfall infiltration recharge in the summer rainy period that raises the water level of the Ordovician aquifer in the study area. (2) The groundwater system in the study area is in an equilibrium state, with the water inflow approximately equal to the outflow. (3) The recharge of mine drainage water has a slight positive effect on the Ordovician water level and the floor water inflow, with the impact on the water level of the aquifer decreasing as the distance from the recharge well and the import of Ordovician limestone water increase. In cases in which there is mine water recharge, the water level of the Ordovician aquifer is approximately 0.33 to 1.37 m higher than in cases without recharge, resulting in an increase in water inflow of approximately 10.6 m3/d. (4) In cases in which there is recharge of all drainage water, the maximum water inflow into the fifth mining area is 3,491.3 m3/d, which is 12.5 m3/d higher than in the case without recharge. These results provide important technical references for the formulation of mining schemes and water prevention measures in mining areas. [ABSTRACT FROM AUTHOR]

Acoustic emission (AE) technology provides a novel approach for studying the damage and fracture behavior of wood‐plastic composites (WPCs) during their application process. This method allows rapid and precise analysis of the mechanical properties of materials, which is a significant advancement for the emerging WPC industry. Hence, a blend of waste floor sanding powder (FSP) and rice husk (RH) reinforced recycled high‐density polyethylene (Re‐HDPE) was prepared by the extrusion method. The AE technique, scanning electron microscopy, and finite element method (FEM) were used to analyze the damage and fracture behavior of the composite materials under a three‐point bending test. The results indicated that the bearing capacity of RH/Re‐HDPE composites was slightly higher than that of FSP/Re‐HDPE composites. The AE technique can better illustrate the damage evolution and fracture process of composites and determine the damage degree and mode. Matrix cracking and deformation were more pronounced in the FSP/Re‐HDPE composites. Fiber breakage and delamination were more prominent in the RH/Re‐HDPE composites. In addition, repeated loading caused irreversible damage to the composite. The increase in temperature led to the attenuation of the AE signal and a decrease in matrix strength. However, when the temperature reached a certain point, the cumulative AE ringing count increased again because the higher temperature improved the fiber–matrix interface strength, which partially canceled out the negative effect. In addition, Abaqus was used for simulation analysis, and the running results coincided with the experimental value. Highlights: RH/Re‐HDPE and FSP/Re‐HDPE are sustainability and low‐cost composites.AE can determine the degree and mode of damage of WPC at different temperatures.The AE curves of RH/Re‐HDPE and FSP/Re‐HDPE all pass through four stages.Heating reduced the matrix strength and improved the interface strength of WPC.The results of FEM were consistent with the experimental results. [ABSTRACT FROM AUTHOR]

[Display omitted] • 1. Silica exposure induced pulmonary inflammation and fibrosis in mice. • 2. Daphnetin alleviates silica-induced pulmonary inflammation and fibrosis in mice. • 3. The PI3K/AKT1 signaling pathway is a key target for daphnetin to inhibit silica-induced pulmonary inflammation and fibrosis. • 4. Daphnetin may be a promising drug for the treatment of pulmonary fibrosis and silicosis. Silicosis is a hazardous occupational disease caused by inhalation of silica, characterized by persistent lung inflammation that leads to fibrosis and subsequent lung dysfunction. Moreover, the complex pathophysiology of silicosis, the challenges associated with early detection, and the unfavorable prognosis contribute to the limited availability of treatment options. Daphnetin (DAP), a natural lactone, has demonstrated various pharmacological properties, including anti-inflammatory, anti-fibrotic, and pulmonary protective effects. However, the effects of DAP on silicosis and its molecular mechanisms remain uncover. This study aimed to evaluate the therapeutic effects of DAP against pulmonary inflammation and fibrosis using a silica-induced silicosis mouse model, and investigate the potential mechanisms and targets through network pharmacology, proteomics, molecular docking, and cellular thermal shift assay (CETSA). Here, we found that DAP significantly alleviated silica-induced lung injury in mice with silicosis. The results of H&E staining, Masson staining, and Sirius red staining indicated that DAP effectively reduced the inflammatory response and collagen deposition over a 28-day period following lung exposure to silica. Furthermore, DAP reduced the number of TUNEL-positive cells, increased the expression levels of Bcl-2, and decreased the expression of Bax and cleaved caspase-3 in the mice with silicosis. More importantly, DAP suppressed the expression levels of NLRP3 signaling pathway-related proteins, including NLRP3, ASC, and cleaved caspase-1, thereby inhibiting silica-induced lung inflammation. Further studies demonstrated that DAP possesses the ability to inhibit the epithelial mesenchymal transition (EMT) induced by silica through the inhibition of the TGF-β1/Smad2/3 signaling pathway. The experimental results of proteomic analysis found that the PI3K/AKT1 signaling pathway was the key targets of DAP to alleviate lung injury induced by silica. DAP significantly inhibited the activation of the PI3K/AKT1 signaling pathway induced by silica in lung tissues. The conclusion was also verified by the results of molecular and CETSA. To further verify this conclusion, the activity of PI3K/AKT1 signaling pathway was inhibited in A549 cells using LY294002. When the A549 cells were pretreated with LY294002, the protective effect of DAP on silica-induced injury was lost. In conclusion, the results of this study suggest that DAP alleviates pulmonary inflammation and fibrosis induced by silica by modulating the PI3K/AKT1 signaling pathway, and holds promise as a potentially effective treatment for silicosis. [ABSTRACT FROM AUTHOR]

• The ET value of various crops in different soils were determined by SWAP model. • Farmland target ET indicator was separated from the regional target ET. • Soil and water resources were optimally allocated under farmland target ET. • Multi-objective optimal allocation of soil and water resources model was established. • The results showed that the economic benefit and water use efficiency were improved. There is a mismatch between crop water demand, the spatial and temporal distribution of natural rainfall, surface water sources, and arable land resources in the North China Plain. This has been compensated for by massive groundwater exploitation, and as a result, ground water levels have continuously declined and groundwater landing funnels have formed in some areas. Consequently, there is an urgent need for the rational allocation of soil and water resources. In this study, regional soil types and the corresponding crops in Guangping County, Hebei Province, China, alongside the regional annual average total water consumption were used to determine reasonable allocations for crop planting structures, with an aim of maximizing the water utilization efficiency and economic benefits while also achieving a regional groundwater dynamic equilibrium. Daily meteorological data from 1973 to 2021, including precipitation, temperature, sunshine hours, wind speed, and humidity, as well as crop data, including irrigation systems and crop growth status, were collected. Water consumption models for eight soil types and seven typical crops forming 56 calculation partitions were established to obtain annual average water consumption values for the different crops. The maximum economic benefit and water-use efficiency were then used as the objective functions and total water consumption as the control condition for the non-dominated sorted genetic algorithm-Ⅱ (NSGA-II), to optimize the allocation of soil and water resources in the region; the adjusted quantities for the different crops cultivated under different soil types in the study area were obtained. The areas growing sweet potato and vegetable-fruits were found to increase by 0.5255 km2 and 4.4452 km2, respectively, when compared to the pre-optimization period, whereas the areas with winter wheat-summer maize, millet, peanut, cotton, and summer maize decreased by 1.3481 km2, 0.1812 km2, 0.7316 km2, 2.0896 km2, and 0.62 km2, respectively. The economic benefit increased from 810.37 to 853.64 million yuan, while the water-use efficiency increased from 1.5426 kg/m3 to 1.5859 kg/m3. The results provide a basis for soil and water resource management in the region and a technical reference for similar areas to improve agricultural water-use efficiency and economic benefits. [ABSTRACT FROM AUTHOR]

• We first prepared a mid-infrared luminescent cspb 1-x (Er/Yb/Ho) x Br 3 perovskite material. To improve stability, it is grown in a glass matrix. Highly stable mid-infrared CsPb 1-x (Er/Yb/Ho) x Br 3 -ZBLAN perovskite fluoride glass is prepared. • A broad spectrum of tunable emission peaks from 2.6 to 3 μm with a full width at half maximum of 210 nm is obtained for perovskite fluoride glass. Because co-doping with Yb3+ ions increases the absorption of Er3+/Ho3+ ions and improves the efficiency of luminescence by Yb3+:2F 5/2 →Er3+:4I 11/2 and Yb3+:2F 5/2 →Ho3+:5I 6 energy transfer. • The CO 2 impurity concentration in hydrogen energy can be monitored in real time with the prepared broadband light source. Inorganic CsPbBr 3 perovskites have garnered significant attention for their excellent optoelectronic properties, particularly in the visible region. However, their great potential for mid-infrared applications has rarely been reported. In this study, we successfully synthesized CsPb 1-x (Er/Yb/Ho) x Br 3 -ZBLAN perovskite fluoride glasses, which exhibit efficient and tunable broadband mid-infrared luminescence. We utilized this perovskite material to fabricate a detection device for measuring carbon dioxide impurity concentrations in hydrogen energy systems. By substituting the Pb2+ ions with rare earth ions Er3+/Yb3+/Ho3+, we achieved continuous tunability within the wavelength range of 2.6–3 μm. Absorption and emission cross sections (σ abs and σ em) of 0. 25CsPb 1-x (Er/Yb/Ho) x Br 3 -ZBLAN are 3.14×10−20 cm2 and 3.45×10−20 cm2. These findings highlight the potential of CsPb 1-x (Er/Yb/Ho) x Br 3 perovskite fluoride glasses for future applications in broadly tunable mid-infrared light emitting and laser technologies. Overall, our results demonstrate the broad utility of CsPb 1-x (Er/Yb/Ho) x Br 3 perovskite fluoride glass for tunable mid-infrared luminescence and laser applications. A broad spectrum of tunable emission peaks from 2.6 to 3 μm with a full width at half maximum of 210 nm is obtained for CsPb 1-x (Er/Yb/Ho) x Br 3 -ZBLAN perovskite fluoride glass. Then, The CO 2 impurity concentration in hydrogen energy can be monitored in real time with the prepared broadband light source. [Display omitted] [ABSTRACT FROM AUTHOR]

Semi-solid suspension electrode is a new approach to develop flow batteries for large-scale energy storage technology, understanding the evaluation behaviors of rheological properties and their relationship with electrochemical performance is of great importance in constructing high-specific-energy suspension electrodes. Herein, sulfur suspension catholyte was employed to investigate the effects of combination mode and content of conductive additive, active material concentration, surfactant on the rheology and electrochemistry of suspension electrodes. The suspension using sulfur and Ketjenblack (KB) codeposition composite (S@KBCC) exhibited lower viscosity and higher sulfur utilization compare with mechanical mixture (S/KB) and sulfur impregnated KB (S-KB). The conductive percolation networks formed when KB content was 0.5 g L−1 in suspension, increasing KB content improved electronic conductivity and sulfur utilization, but leaded to increased viscosity and stress; conductivity, sulfur utilization and viscosity reached the inflection points by modulating KB content. The effects of surfactant Triton X-100 were evaluated in regulating rheological and electrochemical properties, sulfur catholyte with high specific energy of 602 Wh L−1 and power density of 56.6 mW cm−2 was achieved in flow modes. This work proposed the procedures as guides to construct high-energy-density sulfur suspension catholyte, and also offers a reference for other semi-solid electrodes. • Effects of conductive additives on rheology and electrochemistry are presented. • Inflection point related to conductivity, viscosity, utilization is investigated. • Catholyte with high specific energy of 602 WhL−1 is achieved by using Triton X-100. • Lithium-sulfur semi-solid flow cell is demonstrated in flow modes. [ABSTRACT FROM AUTHOR]