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Although the principle of “case-by-case analysis” is widely endorsed, achieving complete rationality in the real world continues to be fraught with difficulties. Interpersonal relationships are heterogeneous, and the influence of social relationships and worldly wisdom on reputation evaluation should not be overlooked. Therefore, based on indirect reciprocity theory, this paper constructs a public goods game model with strategy update rules driven by reputation mechanism, aiming to investigate the impact of heterogeneous interpersonal relationships on the promotion of cooperative public goods provision among residents. The paper categorizes interpersonal relationships into three types, and proposes three corresponding reputation evaluation rules. Simulation results demonstrate that varying intensities of interpersonal relationships result in different levels of cooperation. When conducting public activities, externalities and the organizational efficiency of managers must be considered. Meanwhile, cooperation is difficult to sustain if the reputation mechanism fails to function effectively.

In order to solve the problems of low tracking accuracy of in-orbit satellites by ground stations and slow processing speed of satellite target tracking images, this paper proposes an orbital satellite regional tracking and prediction model based on graph convolutional networks (GCNs). By performing superpixel segmentation on the satellite tracking image information, we constructed an intra-frame superpixel seed graph node network, enabling the conversion of spatial optical image information into artificial-intelligence-based graph feature data. On this basis, we propose and build an in-orbit satellite region of interest prediction model, which effectively enhances the perception of in-orbit satellite feature information and can be used for in-orbit target prediction. This model, for the first time, combines intra-frame and inter-frame graph structures to improve the sensitivity of GCNs to the spatial feature information of in-orbit satellites. Finally, the model is trained and validated using real satellite target tracking image datasets, demonstrating the effectiveness of the proposed model.

This paper studied the constraint mechanism for power device design based on perovskite quantum dots pumped by an electron beam. Combined with device designing, an experimental system of self-saturation luminescence and aging failure was designed for CsPbBr3 films. On this basis, we further completed the self-saturation luminescence and aging failure experiment and constructed a model of self-saturation luminescence and aging failure for CsPbBr3 device designing. Three constraints were proposed after analyzing and discussing the experimental data. Firstly, too high of a pumping current density makes it difficult to effectively promote the enhancement of luminescence efficiency. Secondly, radiation decomposition and aging failure of CsPbBr3 films are mainly related to the polarized degree of CsPbBr3 nanocrystals. Thirdly, by increasing the pumping electric field, the pumping energy can be effectively and widely delivered to the three-dimensional quantum dots film layer space, and there is a nonlinear relationship between the attenuation of the pumping energy density and the increment of the pumping electric field, which will effectively avoid the local high-energy density of instantaneous optical pumping.

Although the principle of \"case-by-case analysis\" is widely endorsed, achieving complete rationality in the real world continues to be fraught with difficulties. Interpersonal relationships are heterogeneous, and the influence of social relationships and worldly wisdom on reputation evaluation should not be overlooked. Therefore, based on indirect reciprocity theory, this paper constructs a public goods game model with strategy update rules driven by reputation mechanism, aiming to investigate the impact of heterogeneous interpersonal relationships on the promotion of cooperative public goods provision among residents. The paper categorizes interpersonal relationships into three types, and proposes three corresponding reputation evaluation rules. Simulation results demonstrate that varying intensities of interpersonal relationships result in different levels of cooperation. When conducting public activities, externalities and the organizational efficiency of managers must be considered. Meanwhile, cooperation is difficult to sustain if the reputation mechanism fails to function effectively.

The choice of cathode and anode materials for electrochromic devices plays a key role in the performance of electrochromic smart windows. In this research, WO 3 /Ag and TiO 2 /NiO composite thin films were separately prepared by the hydrothermal method combined with electrodeposition. The electrochromic properties of the single WO 3 thin film were optimized, and TiO 2 /NiO composite films showed better electrochromic performance than that of the single NiO film. WO 3 /Ag and TiO 2 /NiO composite films with excellent electrochromic properties were respectively chosen as the cathode and the anode to construct a WO 3 /Ag-TiO 2 /NiO electrochromic device. The response time ( t c = 4.08 s, t b = 1.08 s), optical modulation range (35.91%), and coloration efficiency (30.37 cm 2 ·C −1 ) of this electrochromic device are better than those of WO 3 -NiO and WO 3 /Ag-NiO electrochromic devices. This work provides a novel research idea for the performance enhancement of electrochromic smart windows.

In order to analyze the loss of the free-space optical receiver caused by the vibration, we set up the coordinate systems on both the receiving lens surface and the receiving fiber surface respectively. Then, with Gauss optics theory, the coupling efficiency equation is obtained. The solution is calculated out with MATLAB software. To lower the impact of the vibration, the directional tapered communication fiber receiver is proposed out. In the next step, the sample was produced and two experiments were done. The first experiment shows the coupling efficiency of the new receiver is higher than that of the traditional one. The second experiment shows the bit error rate of the new receiver is lower. Both of the two experiments show the new receiver could improve the receiving system's tolerance with the vibration.

The choice of cathode and anode materials for electrochromic devices plays a key role in the performance of electrochromic smart windows. In this research, WO 3/Ag and TiO 2/NiO composite thin films were separately prepared by the hydrothermal method combined with electrodeposition. The electrochromic properties of the single WO 3 thin film were optimized, and TiO 2/NiO composite films showed better electrochromic performance than that of the single NiO film. WO 3/Ag and TiO 2/NiO composite films with excellent electrochromic properties were respectively chosen as the cathode and the anode to construct a WO 3/Ag‒TiO 2/NiO electrochromic device. The response time ( t c = 4.08 s, t b = 1.08 s), optical modulation range (35.91 %), and coloration efficiency (30.37 cm 2·C −1) of this electrochromic device are better than those of WO 3‒NiO and WO 3/Ag‒NiO electrochromic devices. This work provides a novel research idea for the performance enhancement of electrochromic smart windows.

CCD sensor can be used as the imaging device in the initial aiming processing for the beacon laser, and can also be used as the detecting device for the communication lasers optical axis alignment error of the targeting captured trace (APT) unit in space laser communication system. In this paper, based on a double-FPGA structure, we proposed technical solutions to realize the imaging CCD sensor driving and the laser spot position detection algorithm for the CX285AL image sensor by using the overall design of the system block diagram. The spot position detection wave door track centroid algorithm for CCD sensor is also studied by using the analysis of laser transmission characteristics of the atmospheric turbulence. The simulation analysis and field tests have been verified the feasibility of this approach.

Alternative splicing (AS) serves as a pivotal mechanism in transcriptional regulation, engendering transcript diversity, and modifications in protein structure and functionality. Across varying tissues, developmental stages, or under specific conditions, AS gives rise to distinct splice isoforms. This implies that these isoforms possess unique temporal and spatial roles, thereby associating AS with standard biological activities and diseases. Among these, AS-related RNA-binding proteins (RBPs) play an instrumental role in regulating alternative splicing events. Under physiological conditions, the diversity of proteins mediated by AS influences the structure, function, interaction, and localization of proteins, thereby participating in the differentiation and development of an array of tissues and organs. Under pathological conditions, alterations in AS are linked with various diseases, particularly cancer. These changes can lead to modifications in gene splicing patterns, culminating in changes or loss of protein functionality. For instance, in cancer, abnormalities in AS and RBPs may result in aberrant expression of cancer-associated genes, thereby promoting the onset and progression of tumors. AS and RBPs are also associated with numerous neurodegenerative diseases and autoimmune diseases. Consequently, the study of AS across different tissues holds significant value. This review provides a detailed account of the recent advancements in the study of alternative splicing and AS-related RNA-binding proteins in tissue development and diseases, which aids in deepening the understanding of gene expression complexity and offers new insights and methodologies for precision medicine.

Purpose This study aimed to develop an interpretable machine learning model to predict the onset of myopia based on individual daily information. Method This study was a prospective cohort study. At baseline, non-myopia children aged 6–13 years old were recruited, and individual data were collected through interviewing students and parents. One year after baseline, the incidence of myopia was evaluated based on visual acuity test and cycloplegic refraction measurement. Five algorithms, Random Forest, Support Vector Machines, Gradient Boosting Decision Tree, CatBoost and Logistic Regression were utilized to develop different models and their performance was validated by area under curve (AUC). Shapley Additive exPlanations was applied to interpret the model output on the individual and global level. Result Of 2221 children, 260 (11.7%) developed myopia in 1 year. In univariable analysis, 26 features were associated with the myopia incidence. Catboost algorithm had the highest AUC of 0.951 in the model validation. The top 3 features for predicting myopia were parental myopia, grade and frequency of eye fatigue. A compact model using only 10 features was validated with an AUC of 0.891. Conclusion The daily information contributed reliable predictors for childhood’s myopia onset. The interpretable Catboost model presented the best prediction performance. Oversampling technology greatly improved model performance. This model could be a tool in myopia preventing and intervention that can help identify children who are at risk of myopia, and provide personalized prevention strategies based on contributions of risk factors to the individual prediction result.