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Accurate human pose estimation is crucial for precisely locating key points of human body during the near-electricity work in substations. However， traditional detection methods often suffer from low accuracy， missed detections， and misdetections due to occlusion by limb or equipment. To address these challenges， the paper proposes a high-precision multi-human body pose estimation method tailored for near-electricity work in substations. First， a deformable convolutional network （DCN） is embedded into the backbone network， enabling the model to autonomously learn human joint features and enhancing its geometric modeling capabilities. Second， a feature pyramid network is constructed based on the ConvNeXt v2 Block as the neck structure. This strengthens feature interaction learning through cross-scale connections. In the prediction head， the coordinate attention （CA） mechanism is introduced to further capture channel and spatial information of feature maps. Finally， by improving the original loss function， the model’s convergence speed is accelerated. The results show that， compared to the baseline model， the proposed model’s average detection accuracies P0.50， P0.75， and P have increased by 2.7%， 7.3%， and 4.2%， respectively. This provides significant technical support for the safety of near-electricity workers in complex substation environments.

BackgroundMajor depressive disorder and insomnia often coexist， and the two may share a mechanism of pathogenesis and be affected by common underlying genes with strong pleiotropic effects. Previous genome-wide association studies （GWAS） mainly focused on single-gene morphological characters analysis， which impose limitations on showing possible pleiotropic effects.ObjectiveTo identify genetic loci related to insomnia and major depressive disorder， and to examine whether there are common genetic factors underlying both insomnia and depression.MethodsThe GWAS data for major depressive disorder originates from the Psychiatric Genomics Consortium （PGC）， which comprises a total of 246 363 depressive cases and 561 190 controls. The insomnia GWAS data was downloaded from Sleep Disorder Knowledge Portal， involving 1 331 010 participants. Then the conditional false discovery rate （cFDR） and conjunction cFDR （ccFDR） were utilized to identify the genetic loci associated with major depressive disorder and insomnia， and pathway enrichment analysis was performed to examine the biological functions of these loci.ResultsA significant pleiotropic effect was detected between major depressive disorder and insomnia. By leveraging pleiotropic enrichment， 21 susceptibility loci （17 novel loci） for major depressive disorder and 38 susceptibility loci （28 novel loci） for insomnia were identified with the threshold of cFDR

Accelerated development of modern society has harmed people's physical and mental health. It has become a trend to achieve physical recovery and spiritual reshaping through the deceleration of tourism. However, further research is required to understand how consumers experience and realize time deceleration in the context of tourism. In this study, Lijiang acient town, which has the unique charm of a slow-living experience in the eyes of tourists, was selected as the case study, and the text materials of online travel notes and interviews were used. The coding method of grounded theory was adopted to analyze the connotation and occurrence mechanism of the slow-living experience. The results were as follows: 1) The slow-living experience of ancient town tourism is an immersive experience in which tourists visit the tourist destination of the ancient town and enjoy the passage of time under the influence of spiritual arousal of relief needs, memory, and emotion. 2) Time practice, space practice, and adding meaning to life are the main ways of a slow-living experience, which run through the entire process of tourists' slow-living on-site experiences. 3) The slow-living experience of ancient town tourism includes four stages: spiritual arousal, state relaxation, life immersion, and value realization. Each stage is interconnected and promotes the realization of tourists' deceleration experiences. The theoretical value of this study is that through the explanation of the slow-living experience model, the occurrence mechanism of tourists' slow-living experience was discussed in detail, and the core proposition of how tourists experience and realize deceleration was answered. Among them, the slow-living experience emphasizes the drive of spiritual arousal, relaxation of physical and mental states, immersion in life at the time and space levels, and sublimation of leisure value. This realization process differs from other types of tourism experiences. In addition, this article emphasizes that time practice, space practice, and adding meaning to life can create leisure value, emotional value, and a spiritual sense for tourists' time use and promote the depth of tourists' slow-living on-site experience. The research conclusions provide guidance for tourism development of ancient town tourism. Ancient town tourism operators should focus on tourists and formulate targeted programmes according to their behavioral trends. However, the extensibility of slow-living experiences should be considered comprehensively. Operators should consider the influence of other tourist destination landscapes on the slow-living experience, pay attention to the correlation between the two, create a relaxed and lazy slow-living atmosphere for tourist destinations, and stimulate tourists' environmental awareness. This can provide tourists with an excellent slow-living experience and promote the sustainable development of tourist destinations. Overall, starting from the micro level of tourists, this study constructed a slow-living experience model in the context of ancient town tourism, providing a new perspective and practical guidance for a deeper understanding of tourists' experiences.

Knowledge graph is an indispensable part of cognitive intelligence research.Aiming at the problem that the traditional analysis method of stope mine pressure hazard events has insufficient expression of the stress time and space evolution process and the relationship between hazard evolution and risk prevention and control in the coal mining process, this paper proposes a knowledge graph representation method that based on the entire life cycle of stope for mining pressure hazard events.Firstly, from the perspective of geological disasters, the dynamic characteristics of stress and distribution in stope were analyzed.The dynamic correlation of various nodes in mine pressure geological disasters was established, and a knowledge graph representation method for mine pressure geological disasters considering spatiotemporal processes was proposed.Secondly, from the perspective of accidents, the evolution of hazard and the process of risk prevention and control in mine pressure accidents were analyzed.The evolution of hazard and preventive measures were integrated into the knowledge graph representation model.Finally, Neo4j was used to build the knowledge graph of mine pressure hazard events.The results indicate that the knowledge graph constructed based on this representation method not only depicts the spatiotemporal evolution processes of different objects in disaster events but also describes the coupling evolution process of hazards and corresponding risk prevention and control measures.This provides an intelligent research pathway for the prevention and control of mining pressure hazards in intelligent mining.

This article proposes a low-carbon operation analysis method for micro grids based on improved particle swarm optimization algorithm. Corresponding improvements have been made to the inertia weight, learning factor, and individual extreme of the algorithm, depicting the comprehensive low-carbon operation information of micro grids under the influence of carbon emission quotas and carbon trading mechanisms from the perspective of data visualization. The low-carbon scheduling of micro grids is carried out from three perspectives: environmental protection, economy, and comprehensiveness, which compensates for the limitations of focusing on traditional low-carbon operation and provides a powerful tool for analyzing low-carbon operation of micro grids. Firstly, establish the energy consumption cost and carbon emission cost functions of the micro grid system, add the two cost functions together and take the minimum sum to form the objective function of this article. Then, based on the characteristics of each unit, a low-carbon model is constructed to constrain the carbon emissions of each unit. Finally, simulation analysis was conducted on the micro grid system based on the improved particle swarm optimization algorithm, verifying the effectiveness and practicality of the proposed algorithm. The simulation results show that the improved particle swarm optimization algorithm can quickly and effectively reduce energy consumption and carbon emission costs, and improve the comprehensive efficiency of micro grid systems.

The performance of proton exchange membrane fuel cells (PEMFCs) is significantly influenced by their temperature and cathode humidity, as they affect power density and internal water distribution. The interdependent nature of these two parameters necessitates their simultaneous consideration in practical engineering to achieve high efficiency and reliable PEMFC operation. Therefore, this study proposes a synergistic analysis of the dual-parameter effect of working temperature and cathode humidity on PEMFC performance, using a three-dimensional steady-state model for counter-flow single-channel PEMFCs. The model's correctness is verified through comparison with experimental results, and the resulting power density and internal water distribution characteristics of PEMFCs are studied based on voltage changes. The findings indicate that the sensitivity of the proton exchange membrane (PEM) to temperature and cathode humidity varies at different voltage stages. Coupling analysis of these two factors enhances proton exchange membrane conductivity and expands the range of power density adjustment. Consequently, this study provides crucial insights into the interplay between temperature and cathode humidity in PEMFCs, facilitating the design and optimization of PEMFC systems for practical engineering applications.

Objective·To investigate the effects of intermittent fasting (IF) combined with thermogenic fat activation on the treatment and prevention of obesity in mice.Methods·Male C57BL/6J mice aged 8 weeks were fed by high-fat diet for 4 months and then used as obesity treatment models. The prevention model was conducted on male and 8-week-old C57BL/6J mice. High-fat diet-induced obese mice and normal mice were respectively assigned into four groups: control group, alternate-day intraperitoneal CL316243 (β3-adrenergic receptor agonist,CL) injection group, IF group, and IF combined with alternate-day intraperitoneal CL injection group. Obesity treatment experimental mice and obesity prevention experimental mice were intervened for 38 d and 124 d, respectively, and they were all fed with high-fat diet during the intervention. The food intake and body weight were measured every two days. The blood glucose was measured at the end of the experiments. The brown adipose tissues (BAT), inguinal white adipose tissues (iWAT), epididymal white adipose tissues (eWAT), and livers were collected and weighed after the mice were sacrificed. The effect of IF combined with CL on morphologic changes was investigated by hematoxylin-eosin (H-E) staining. The expression levels of the genes related to thermogenesis, inflammation, and glucose and lipid metabolisms in the livers and adipose tissues were detected by real-time quantitative polymerase chain reaction (RT-qPCR).Results·In the treatment model, compared with IF alone, IF combined with CL further reduced the body weight and blood glucose of obese mice (P

Objective·To investigate the correlation between intramuscular adipose tissue (IMAT) content and glucose metabolism in male patients with obesity.Methods·Eighty male patients with obesity were recruited from the Endocrinology Department of Renji Hospital, Shanghai Jiao Tong University School of Medicine from December 2019 to December 2020. According to the results of oral glucose tolerance test (OGTT), they were divided into normal glucose tolerance (NGT) group and impaired glucose regulation (IGR) group. General data and laboratory test indicators of the two groups were collected and compared. mDixon-Quant technique was used to measure the IMAT content in each skeletal muscle of the thigh in the two groups, and the proton density fat fractions (PDFF) of skeletal muscle in the two groups were compared. The multivariate Logistic regression model was used to analyze the independent influencing factors of IGR occurrence.Results·Compared with the NGT group, patients in the IGR group had a larger waist circumference (P=0.017), higher glutamic-pyruvic transaminase level, glutamic-oxaloacetic transaminase level, γ-glutamyl transferase (GGT) level, triacylglycerol (TAG) level, nonestesterified fatty acid (NEFA) level and sartorius PDFF (all P

By improving the existing preparation methods, a piperazine polypyrophosphat (PAPP) with high thermal stability was synthesized. It was compounded with halloysite nanotube (HNTs) and melamine cyanurate (MCA) to form P-N-Si intumescent flame retardant, and was used in synergistic flame retardant epoxy resin (EP). The effect of intumescent flame retardant on the flame retardancy of EP was investigated by means of limiting oxygen index, vertical combustion, cone calorimeter and SEM etc. The results show that the introduction of the compound flame retardant forms a dense and continuous intumescent carbon layer, which improves the flame retardant efficiency of the epoxy resin in the condensed phase and the gas phase. It reduces the heat release and heat release rate of epoxy resin and the toxic gases release effectively. When the PAPP/HNTs/MCA ratio is 7∶1∶2, the limiting oxygen index of flame retardant resin reaches 34.3%, the UL-94 vertical combustion test reaches V-0 level. Compared with pure EP, the amount of residual carbon is increased significantly, the peak heat release rate (HRR) is decreased by 60.56%, and the total heat release (THR) and toxic gas emissions are reduced significantly for modified EP. In addition, the thermogravimetric analysis results suggest that the initial decomposition temperature of flame retardant modified EP is decreased by 4.4% (ΔT), and the modified EP still has high thermal stability.

In today’s digital trend, deep learning technology has become an indispensable innovation power in the field of graphic design. In order to better integrate traditional visual elements from graphic design into graphic design, this paper proposes a graphic design layout generation model based on the LayoutGAN model. Taking Chinese traditional paper-cutting art as an example, we construct a dataset of visual elements and use Gaussian filtering, the LGE model, and the OTSU algorithm to preprocess the images of visual elements in paper-cutting art. The LayoutGAN model utilizes the layout element wireframe rendering module to enhance the extraction of visual elements of traditional art and a 2-stage training strategy is employed for model optimization training. To demonstrate the feasibility of applying the model in the reconstruction of visual elements of graphic design art, it was tested experimentally. After the LGE model was used for the image enhancement of the visual elements of paper-cutting art, the image enhancement effect was improved by 30.68%, and the segmentation accuracy and the mIoU of the traditional art visual elements were 98.24% and 97.58%, respectively. The PSNR value of the graphic design generated using the LayoutGAN model is 21.27, and the subjective evaluation scores are all above 3. The reconstruction of traditional visual elements in graphic design can be achieved using deep learning models, and the original information is preserved to the maximum extent.

Amidst the rapid evolution of the digital economy, this research positions fuzzy rough set theory at the forefront of industrial economic modeling, acknowledging its profound capability to manage uncertain information. This theory’s analytical precision facilitates a deep dive into the dynamics of industrial economic growth, enabling the refinement of industrial structures for sustainable development. Our empirical investigation into region A’s grain industry showcases a remarkable output growth of 272.88% from 2008 to 2018, with a model accuracy exceeding 95%. Analysis on cost inputs further demonstrates how innovation in science and technology plays a crucial role in cost reduction. By leveraging fuzzy rough set theory, this work contributes significantly to the strategic development of industrial economics, offering a robust methodology for data-driven analysis and forecasting in industrial sectors.

Culturally responsive teaching is an effective pedagogical orientation and action plan for responding to cultural differences and is characterized by effectiveness, comprehensiveness, empowerment, transformation, and emancipation. To better realize the connotation and value of culturally responsive teaching, this paper applies Internet technology to culturally responsive teaching. Based on the Internet blockchain technology, this paper optimizes the culturally responsive teaching model and evaluates the Internet-based teaching method in three aspects: appropriateness of material selection, cultural diversity, and classroom autonomy. In terms of the appropriateness of teacher selection, students generally rated the teaching method more highly, with an average increase of 11.6 percentage points over the initial rating. Students also rated the Internet-based approach more favorably regarding the cultural diversity of teaching and learning, with an average increase of 15 percentage points.

This paper first analyzes the effective application of web platforms and information technology in college teaching and constructs a web-based teaching aid platform for college courses based on the open Web. Secondly, the A3C algorithm is used to implement adaptive coding decisions to improve the performance of the platform by adaptive network coding. Finally, the performance test analysis is conducted for the web teaching aid platform built in this paper. The results show that the average response time of the system using the communication function with 2000 concurrent users is 1.807s, and the CPU and memory usage are 1146MHz and 1486MB, respectively, after running for 25s. This shows that adaptive network coding can effectively improve the performance of the supplementary teaching platform.

Aero-engine´s characteristics vary with flight conditions and operating states. In complex operating environments, both model uncertainty and controller parameter variation exist simultaneously, which greatly affect the control performance in the whole flight envelope. Therefore, a robust elastic adaptive control method based on parameter perturbation model is proposed in this paper. The structural model of aero-engine parameter perturbation is established. Then, aiming at the uncertainty of the controlled object model and the perturbation of controller gain, the robust resilient adaptive control law is designed when the gain perturbation is bounded but the upper bound is unknown by using Lyapunov stability theory and linear matrix inequality constraints, and the controller design problem is transformed into a feasible solution problem of linear matrix inequalities. The controller design only depends on the existence of the solution matrix of linear matrix inequalities, and the stability of the algorithm is proved. On this basis, the control simulation of different operating states of the engine in the flight envelope is carried out. The simulation results show that the adjustment time is less than 1.8 s and the overshoot is less than 5%, which indicates good stability and control performance of the designed controller.

The spontaneous radiation combustion diagnosis technology has high requirements for obtaining the radiation intensity of highly directional resolution in a combustion system. Taking advantage of the numerical stability and easy implementation of the element differential method, this paper constructs a radiation model that can achieve the radiation intensity of spatial and angular high-resolution in cylindrical anisotropic scattering medium. In analyzing the radiation model, the radiation intensity is discretized in three dimensions. An upwind scheme is proposed to suppress the numerical oscillation of the strong convection characteristics of the radiation transfer equation. The double-layer node algorithm is used to capture the strong discontinuous singularities at the radiation boundary. The comparison with the analytical solution shows that the radiation model based on the element differential method can achieve the high-resolution description of radiation intensity with high-order accuracy. The accuracy and validity of the radiation model are verified through comparing with the results on the Monte Carlo method. The further description of the three-dimensional distribution of radiation intensity in angle and space proves that the up-wind scheme can effectively suppress numerical oscillation and realize stable calculation.

The ecological environment of mining areas in the Loess Plateau is extraordinary fragile, so it is crucial to achieve the carbon neutral vision to scientifically understand the mechanism and potential of carbon sequestration and sink enhancement in ecological restoration of mining areas in the Loess Plateau. Therefore, it is necessary to explore the key processes of carbon sink formation, the adaptability and resilience of restoration, and the potential of increasing carbon sink in the ecological restoration of the mining area in the Loess Plateau, as well as reveal the stability mechanism of the carbon pool in the reclaimed soil of the mining area. Finally, the key technologies of carbon fixation and sink enhancement in the ecological restoration of the mining area are clarified and elucidated. The results showed that: ① The critical processes of carbon sink formation in ecological restoration of mining areas in the Loess Plateau included plant photosynthetic carbon allocation, soil carbon sequestration, microbial carbon sequestration, soil respiration and so on; ② The ecological restoration adaptability of the mining areas in the Loess Plateau generally presented a trend of high in the southeast and low in the northwest, while the areas with poor adaptability were mainly distributed at the border between northern Shanxi and Inner Mongolia, as well as between central Ningxia and Inner Mongolia. The order of ecological resilience of typical mining areas was shown as follows: Mixed forest (43.2%-100.0%) > Broad-leaved forest (49.2%-83.2%) > Coniferous forest (47.9%-76.5%) > Grassland (39.1%-70.7%) > Shrub grassland (43.0%-69.0%). There was a positive correlation between the remediation years and soil carbon sink potential. The highest carbon sink potential generally occurred at 10-15 years of restoration. The mixed forests spent the longest ecological restoration time, but possessed the largest carbon sequestration potential; ③ The stability mechanism of reclaimed soil carbon pool was related to litter decomposition, clay mineral interaction, aggregate physical protection and microbial regulation; ④ The coupling repair technology including landform reconstruction, soil reconstruction, pioneer plant/microorganism and exogenous material is the optimal path for ecological restoration of coal mining areas in the Loess Plateau to fix carbon and increase carbon sink, and it is also conducive to the long-term stability and improvement of carbon sink.

ObjectiveTo explore the relationship between the height of alveolar bone resorption and sex and age in the adolescent dentition.MethodsMulti-slice computed tomography （MSCT） was used to measure the height of alveolar bone resorption at labial, lingual, mesial and distal sites of teeth in 149 adolescents aged from 10 to 20 years. SPSS 25.0 software was used to analyze the relationship between the height of alveolar bone resorption and sex and age.ResultsThere was no significant difference in the height of alveolar bone resorption between sex （P>0.05）. The height of alveolar bone resorption was positively correlated with age in all types of teeth. The model constructed by combining the alveolar bone resorption height data of four sites （y=2.569x1+3.106x2+4.108x3+1.451x4-0.082，R2max=0.756）had a better ability to infer age than that of combining two sites （y=5.942x1+4.489x2+0.612，R2max=0.706） and a single site （R2max=0.638）.ConclusionThe height of alveolar bone resorption is positively correlated with the age of adolescents. The combination of four sites has a stronger ability to infer the relationship between the height of alveolar bone resorption and age in adolescents and has higher accuracy in practical application.

ObjectiveTo systematically evaluate the efficacy of psychological intervention on the mental health status of schizophrenia during rehabilitation in China， so as to provide references for the implementation of effective psychological intervention for patients.MethodsCochrane Library， PubMed， Web of Science， Chinese Biomedical Literature Database， CNKI， Wanfang Database and VIP Database were retrieved for the randomized controlled trials （RCTs） related to the psychological intervention for patients with schizophrenia during rehabilitation in China published from the inception to December 2021. After the assessment of risk of bias in literatures included， Meta-analysis was performed by using RevMan 5.4.1 software.ResultsA total of 1 211 subjects in 13 RCTs were enrolled， including 602 cases in the control group and 609 in the intervention group. Meta-analysis denoted that intervention group had lower scores of Symptom Checklist 90 （SCL-90） （WMD=-15.41， 95% CI：-18.67~-12.16， P

Background: Although current studies have identified sleep disorders as an independent risk factor for suicide, the relationship between sleep disorders and suicide risk has not been well established. This study explored whether anxiety and depressive symptoms are used as mediators to participate in the impact of sleep quality on suicide risk. Methods: This is a cross-sectional study. We administered a psychological questionnaire to the participants, using a combination of self-assessment and psychiatrist assessment.Sleep quality, suicide risk, level of anxiety and depressive symptoms were assessed by PSQI, NGASR, SAS and SDS.The study subjects were 391 hospitalized COVID-19 patients from Wuhan hospitals. We used model 6 in the PROCESS (version 3.5) plug-in of SPSS software to conduct mediation test with sleep quality as the independent variable, suicide risk as the dependent variable, level of anxiety and depressive symptoms as intermediate variables. Results: The severity of anxiety and depressive symptoms and the risk of suicide in the sleep disorder group (63.15 ± 13.71, 59.85 ± 13.38, 6.52 ± 3.67) were higher than those in the non-sleep disorder group (49.83 ± 13.14, 44.87 ± 10.19, 2.87 ± 3.26) (P

Objective To understand the willingness of undergraduate nursing students to participate in Time Banking voluntary pension service and analyze the reasons that affect the willingness of undergraduate nursing students to participate. Methods Totally 208 students in a certain university of Luoyang were investigated with self-designed questionnaire about willingness of Time Banking voluntary elderly care service. Results Totally 94. 71%(197/208)of the students were willing to participate in the Time Banking voluntary pension service, and they had different understandings on the service provided by the Time Banking service. The results of chi square test showed that age, gender, political status, whether to engage in medical related majors had an impact on the time saving willingness of nursing undergraduates (P＜0. 05). Conclusion Multiple factors influence the willingness of undergraduate nursing students to participate and provide volunteer care in a variety of ways. (目的 了解高校护理本科学生参与“时间银行”志愿养老服务的意愿, 分析影响护理本科学生参与意愿的原因。方法 采用自行设计的“时间银行”志愿养老服务意愿调查问卷, 对洛阳市某本科护理院校208名学生进行问卷调查。结果 94. 71%(197/208)学生愿意参加“时间银行”志愿养老服务, 学生在“时间储蓄”志愿养老提供的服务等内容上有不同理解。卡方检验结果分析显示年龄、性别、政治面貌、是否从事医学相关专业对护理本科学生的“时间银行”志愿养老服务意愿有影响(P＜0. 05)。结论 高校护理本科生愿意参与并提供多方面的志愿照护服务, 多种因素影响学生的志愿服务意愿。)

With the gradual increase in the penetration rate of distributed power sources, in view of the planning problem of coordinating the location and capacity of distributed power sources with the grid frame and transformers of the distribution network, a distribution network that takes into account distributed power sources is proposed. Aiming at the lowest cost of investment, maintenance, energy production, energy loss, and load loss penalty, and considering the power flow constraints, planning and operation constraints of each planning stage, a multi-stage expansion planning model for the distribution network is established. The mixed-integer linear programming algorithm is used to solve the problem, and the optimal planning scheme at each stage is obtained. The simulation results show that the multi-stage expansion planning method for coordinating distributed power and distribution network proposed in this paper can prevent the problems of isolated nodes and transmission nodes, improve the reliability of the planning scheme, and have good economic benefits.

In this study, a simple fluorescent chemosensor with good fluorescence properties was synthesized, and was used to develop a sensitive and selective sensor, for the determination of 2,4,6-trinitrophenol (TNP) and Ag+ in THF/H2O medium, based on the fluorescence quenching mechanism. Fluorescence quenching experiments revealed that the fluorescence intensities of the resulted probe were linear with the concentrations of TNP and Ag+ in the concentration range of 3.0–5.0 and 2.0–5.0 μmol dm-3, with the detection limit of 1.36 and 0.82 μmol dm-3, respectively. At the same time, accompanied with fluorescent color change under 365 nm UV light irradiation. This has demonstrated that the compound can act as a potential candidate for a “naked-eye” rapidly detector for Ag+ and TNP in soils and aquatic systems.

YSZ ceramic coating was prepared by PS-PVD process on K417G superalloy prefabricated with NiCoCrAlYTa bond coating. The tensile bond strength, particle erosion resistance and high temperature oxidation resistance of PS-PVD YSZ ceramic coating were tested by the universal tensile testing machine, particle erosion device and static oxidation furnace. The SEM and EDS were used to analyze the surface, cross-section morphology and element distribution. The results show that surface roughness has great influence on tensile bond strength, particle erosion resistance and high temperature oxidation resistance of YSZ ceramic coating. The bonding strength is increased first and then decreased with the increase of surface roughness. The coating prepared on the surface of Ra=0.40 μm has the highest bonding strength of 23.5 MPa. The tensile fracture occurs in the interior of YSZ ceramic coating at a distance of 40-70 μm from the bond coating. The erosion rate is decreased first and then increased with the increase of surface roughness. The coating prepared on the surface of Ra=0.40 μm has the best particle erosion resistance, and the erosion rate is 2.8×10-3 g/g. Small surface fluctuations and low porosity are two important reasons for preventing fast particle erosion. The YSZ coatings prepared with different surface roughness can produce dense and continuous TGO layer. Larger surface roughness causes larger fluctuation of growing TGO layer, which is more likely to cause local thickening and stress concentration, thus leading to failure.

Village B&B is an important format of rural tourism, and it is one of the important ways to promote rural economic growth and revitalization in an all-round way. Tongzhou District, based on the Universal Theme Park and the Grand Canal as the promenade, has a material and cultural environment suitable for incubating boutique village B&B, and is an important experimental field to realize the high-quality development of rural village B&B. In this paper, qualitative comparative analysis method (QCA) is introduced to make a comparative analysis between the 10 cases selected for the first batch of village B&B in Tongzhou District and the other 10 cases that were not selected. The analysis is mainly based on the evaluation indicators summarized in the Basic Requirements and Evaluation of Tourist Homes (LB/T 065-2019), related literature and case studies of boutique village B&B, and the index configuration of selected cases is studied. The research is supposed to provide feasible suggestions for shaping the characteristics of villagers’ lodge in other townships in Tongzhou District, and further to realize the goal of creating a “golden business card” for quality village B&B in Tongzhou District.

In order to improve the safety and reduce interface impedance of lithium-ion batteries, the star-shaped polyhedral POSS-poly(methyl methacrylate) (POSS-(PMMA46)8), which has both excellent heat resistance and good compatibility with the polymer material, was selected as a modifier to modify the separator of commercial polypropylene (PP) by the method of impregnation. The micromorphology of the composite separator was studied by scanning electron microscope (SEM). The mechanical property of the separator was measured by a tensile tester. The thermal stability of the separator was studied at a high temperature. The wettability of the separator was tested by a contact angle tester. The AC impedance was used to obtain the bulk impedance of the composite separator and then its ionic conductivity was studied. The electrochemical stability of the separator was measured by linear sweep voltammetry (LSV). The results show that when the mass fraction of POSS-(PMMA46)8 is 40%, the pore distribution of the composite membrane is homogeneous, and the wettability is the best. The tensile strength is 5.34 times that of the original film, and the thermo-stability is ideal at 160℃/1h. The conductivity of the composite membrane is 1.35×10-3 S/cm. The interface resistance between the composite separator and the electrode is reduced from 743Ω to 152Ω, and which is 79.5% higher than that of the original film; for Li/Separator/LiFePO4 cell, the charge-discharge cycling stability is better and the battery capacity at low magnification is comparable to commercial PP separator.

The effect of surface roughness based on PS-PVD process on the structure of YSZ ceramic coating was studied. The influence mechanism of surface roughness on gas-phase deposition and structure formation of ceramic coating was discussed. YSZ ceramic coating was prepared by PS-PVD process on K417G superalloy prefabricated with NiCoCrAlYTa bond coating. The morphology and structural characteristics of PS-PVD YSZ coating were analyzed by means of SEM, roughness detector and 3D surface topography instrument. Substrate surface roughness has a great influence on PS-PVD coating structure. When the surface roughness of the substrate is Ra ≤ 2μm, 2μm < Ra < 6μm, and Ra ≥ 6μm, respectively, the coating roughness is in the range of 3.5-5, 6-10μm and 10-15μm, respectively. The diameter of cauliflower head increases with the increase of the surface roughness of substrate. The dP=38.5μm, d280S=25.5μm, d60S=38.7μm, d24S=102μm and dS=137μm. In the process of PS-PVD gas-phase deposition, surface roughness mainly affects the growth and formation of coating differential structures through shadow effect. With the increase of substrate surface roughness, YSZ ceramic coating is affected by shadow effect and the size of cauliflower head and the gap width between columnar structures are increased, forming a relatively loose structure.

Monosomy 7 and del(7q) are among the most common and poorly understood genetic alterations in myelodysplastic neoplasms and acute myeloid leukemia. Chromosome band 7q22 is a minimally deleted segment in myeloid malignancies with a del(7q). However, the rarity of second hit mutations supports the idea that del(7q22) represents a contiguous gene syndrome. We generated mice harboring a 1.5 Mb germline deletion of chromosome band 5G2 syntenic to human 7q22 that removes Cux1 and 27 additional genes. Hematopoiesis is perturbed in 5G2+/del mice but they do not spontaneously develop hematologic disease. Whereas alkylator exposure modestly accelerated tumor development, the 5G2 deletion did not cooperate with KrasG12D, NrasG12D, or the MOL4070LTR retrovirus in leukemogenesis. 5G2+/del mice are a novel platform for interrogating the role of hemopoietic stem cell attrition/stress, cooperating mutations, genotoxins, and inflammation in myeloid malignancies characterized by monosomy 7/del(7q).