Extended damage range of(Al0.3Cr0.2Fe0.2Ni0.3)3O4 high entropy oxide films induced by surface irradiation

Irradiation makes structural materials of nuclear reactors degraded and failed.However,the damage process of materials induced by irradiation is not fully elucidated,mostly because the charged particles only bombarded the surface of the materials(within a few microns).In this work,we investigated the effects of surface irradiation on the indirect irradiation region of the(Al0.3Cr0.2Fe0.2Ni0.3)3O4 high entropy oxide(HEO)films in detail by plasma surface interaction.The results show that the damage induced by surface irradiation significantly extends to the indirect irradiation region of HEO film where the helium bubbles,dislocations,phase transformation,and the nickel oxide segregation were observed.

Multi-dimensional and Multi-threshold Airframe Damage Region Division Method Based on Correlation Optimization

In order to obtain the image of airframe damage region and provide the input data for aircraft intelligent maintenance,a multi-dimensional and multi-threshold airframe damage region division method based on correlation optimization is proposed.On the basis of airframe damage feature analysis,the multi-dimensional feature entropy is defined to realize the full fusion of multiple feature information of the image,and the division method is extended to multi-threshold to refine the damage division and reduce the impact of the damage adjacent region’s morphological changes on the division.Through the correlation parameter optimization algorithm,the problem of low efficiency of multi-dimensional multi-threshold division method is solved.Finally,the proposed method is compared and verified by instances of airframe damage image.The results show that compared with the traditional threshold division method,the damage region divided by the proposed method is complete and accurate,and the boundary is clear and coherent,which can effectively reduce the interference of many factors such as uneven luminance,chromaticity deviation,dirt attachment,image compression,and so on.The correlation optimization algorithm has high efficiency and stable convergence,and can meet the requirements of aircraft intelligent maintenance.

Mitochondrial and nuclear damages and caspase-3 expression in the hippicampal CA3 region of rats with kainic acid induced statuse pilepticus

BACKGROUND: Some scholars believed that the neuronal injury after status epilepticus is apoptosis, the main evidence is the changes of expressions of various apoptosis related genes, such as immediate-early gene, p53 gene and genes of bcl-2 family, etc. But there is still no ultrastructural evidence for apoptosis. OBJECTIVE: To observe the ultrastructural damages of mitochondrion and nucleus and the changes of caspase expression in neurons of hippocampal CA3 region in rats with status epilepticus induced by kainic acid. DESIGN: A randomized controlled study. SETTING: Department of Anesthesiology and Department of Neurology, Qilu Hospital of Shandong University. MATERIALS: Seventy-five adult male Wistar rats of 250-300 g, clean degree, were provided by the experimental animal center of Shandong University. Kainic acid was purchased from Sigma Company (USA); rabbit anti-rat polyclonal antibody caspase-3 from Santa Cruz Company (USA). METHODS: The experiments were carried out in the Department of Anesthesiology, Qilu Hospital of Shandong University from October 2005 to February 2006. ① The 75 rats were randomly divided into experimental group (n =45) and control group (n =30). ② Model establishment, convulsion grading and the judging standards for status epilepticus: Rats in the experimental group were given intraperitoneal injection of kainic acid (10 mg/kg), and those in the control group were injected with saline of the same volume. The time of seizure was recorded and their behavioral manifestations were observed, and the seizure was terminated by intraperitoneal injection of diazepam (10 mg/kg). ③ Observation under electron microscope: At 3, 12 and 24 hours after status epilepticus respectively, bilateral hippocampal tissues were taken out, semithin sections of about 75 nm were prepared after fixation, dehydration and embedding, and then observed under H-800 transmission electron microscope. ④ Immunohistochemical detection: Bilateral hippocampi were removed at 3, 12 and 24 hours after status epilepticus respectively, the fixation, dehydration, transparence, wax immersion and embedding were performed, then serial sections of CA3 region were immunohistochemically determined by the SABC method. Leica QWinV3 image analytical software was applied, then the average number and average gray value of positive cells were calculated. MAIN OUTCOME MEASURES: Results of observation under electron microscope, that of immunohistochemical staining of neurons in hippocampal CA3 region; Comparison of number of caspase-3 positive cells and gray value. RESULTS: All the 75 Wistar rats were involved in the analysis of results. ① Results of observation under electron microscope: At 3 hours after status epilepticus, swelling crista and membranous disintegration were observed under electron microscope. At 24 hours, obvious nuclear changes occurred, and manifested as the side-aggegation of chromatins. ② Results of immunohistochemical detection: In the experimental group, the number of caspase-3 positive cells at 3 hours after status epilepticus had no obvious difference as compared with that in the control group (P > 0.05); At 12 hours, the number and gray value of caspase-3 positive cells in the experimental group were higher than those in the control group (10.49±0.68 vs. 5.33±0.43; 45.57±2.27 vs. 19.79±0.33, P < 0.05), the same results were also observed at 24 hours (37.36±0.57 vs. 5.12±0.47; 115.24±1.22 vs. 18.73±0.42, P < 0.01). CONCLUSION: In the rat models of status epilepticus induced by kainic acid, mitochondrial damage was earlier than the increase of caspase-3 expression and nuclear changes, which suggested that mitochondrion was the key link for the neuronal death after status epilepticus.

Regional Rainfall Damage Functions to Estimate Direct Economic Losses in Rainstorms:A Case Study of the 2016 Extreme Rainfall Event in Hebei Province of China

Developing a regional damage function to quickly estimate direct economic losses(DELs) caused by heavy rain and floods is crucial for providing scientific supports in effective disaster response and risk reduction. This study investigated the factors that influence regional rainfall-induced damage and developed a calibrated regional rainfall damage function(RDF) using data from the 2016 extreme rainfall event in Hebei Province, China. The analysis revealed that total precipitation, asset value exposure, per capita GDP, and historical geological disaster density at both the township and county levels significantly affect regional rainfall-induced damage. The coefficients of the calibrated RDF indicate that doubling the values of these factors leads to varying increases or decreases in rainfall-induced damage. Furthermore, the study demonstrated a spatial scale dependency in the coefficients of the RDF, with increased elasticity values for asset value exposure and per capita GDP at the county level compared to the township level. The findings emphasize the challenges of applying RDFs across multiple scales and highlight the importance of considering socioeconomic factors in assessing rainfall-induced damage. Despite the limitations and uncertainties of the RDF developed, this study contributes to our understanding of the relationship between physical and socioeconomic factors and rainfall-induced damage. Future research should prioritize enhancing exposure estimation and calibrating RDFs for various types of rainfall-induced disasters to improve model accuracy and performance.The study also acknowledges the variation in RDF performance across different physical environments, especially concerning geological disasters and slope stability.

Regional seismic-damage prediction of buildings under mainshock-aftershock sequence

Strong aftershocks generally occur following a significant earthquake.Aftershocks further damage buildings weakened by mainshocks.Thus,the accurate and efficient prediction of aftershock-induced damage to buildings on a regional scale is crucial for decision making for post-earthquake rescue and emergency response.A framework to predict regional seismic damage of buildings under a mainshock-aftershock(MS-AS)sequence is proposed in this study based on city-scale nonlinear time-history analysis(THA).Specifically,an MS-AS sequence-generation method is proposed to generate a potential MS-AS sequence that can account for the amplification,spectrum,duration,magnitude,and site condition of a target area.Moreover,city-scale nonlinear THA is adopted to predict building seismic damage subjected to MS-AS sequences.The accuracy and reliability of city-scale nonlinear THA for an MS-AS sequence are validated by as-recorded seismic responses of buildings and simulation results in published literature.The town of Longtoushan,which was damaged during the Ludian earthquake,is used as a case study to illustrate the detailed procedure and advantages of the proposed framework.The primary conclusions are as follows.(1)Regional seismic damage of buildings under an MS-AS sequence can be predicted reasonably and accurately by city-scale nonlinear THA.(2)An MS-AS sequence can be generated reasonably by the proposed MS-AS sequencegeneration method.(3)Regional seismic damage of buildings under different MS-AS scenarios can be provided efficiently by the proposed framework,which in turn can provide a useful reference for earthquake emergency response and scientific decision making for earthquake disaster relief.

Airframe Damage Region Division Method Based on Structure Tensor Dynamic Operator

In order to improve the accuracy of damage region division and eliminate the interference of damage adjacent region,the airframe damage region division method based on the structure tensor dynamic operator is proposed in this paper.The structure tensor feature space is established to represent the local features of damage images.It makes different damage images have the same feature distribution,and transform varied damage region division into consistent process of feature space division.On this basis,the structure tensor dynamic operator generation method is designed.It integrates with bacteria foraging optimization algorithm improved by defining double fitness function and chemotaxis rules,in order to calculate the parameters of dynamic operator generation method and realize the structure tensor feature space division.And then the airframe damage region division is realized.The experimental results on different airframe structure damage images show that compared with traditional threshold division method,the proposed method can improve the division quality.The interference of damage adjacent region is eliminated.The information loss caused by over-segmentation is avoided.And it is efficient in operation,and consistent in process.It also has the applicability to different types of structural damage.