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It is well known that there are several vertical flight phases for the aircraft in the flight. The cruise flight phase takes most of the flight time, flight distance and fuel consumption, so it is important and necessary to develop the flight management system(FMS) vertical trajectory prediction algorithm for the cruise flight phase, aiming to improve the economy, comfort and safety of the flight. In order to meet the versatility of the vertical trajectory prediction algorithm between different types of aircraft in the cruise phase and improve the accuracy and reliability of the vertical trajectory prediction, the algorithm of vertical trajectory prediction for cruise flight phase is proposed in this paper. Firstly, the cruise speed profile is calculated, and the realistic atmospheric model of prediction is constructed. Then the cruise fuel flow data is calculated based on the aircraft model of first-principles, and the vertical trajectory prediction for the cruise phase is given by designing the vertical trajectory prediction algorithm logic. Finally, the effectiveness and accuracy of the algorithm are verified by ground simulation and air flight test. The results show that the vertical trajectory prediction algorithm of FMS cruise phase based on the aircraft model of firstprinciples can predict the cruise trajectory of the aircraft, and the prediction accuracy error is less than 1%.

With the development of new high-thrust rockets, the decreasing frequency of the bending modes of the rocket, as well as the factors such as flow separation and shock oscillations generated during transonic flight make it more prone to non-constant vibration. In this paper, a launch vehicle model with boost was taken as the research object, and the aerodynamic damping of the rocket during forced vibration was obtained through numerical calculation. The factors affecting the aerodynamic damping of the rocket were analyzed, including the position of structural nodes, the magnitude of vibration amplitude, pulsating pressure and so on. The study shows that the boost mainly plays the role of increasing aerodynamic damping and the front node mainly affects the aerodynamic damping of the contraction section. The vibration amplitude size and the pulsating pressure have a negligible effect on the aerodynamic damping.

Objective: Kudzu root, fern root, lily, and yam bean are characteristic plant resources in Wuling Mountain Area, the gelatinization and instant properties of these four starches was analyzed in this study. Methods: SEM, RVA, and DSC were used to investigate the gelatinization properties of the starches, and the transparency and apparent fluidity of starch pastes was used to analysis the instant properties. Results: The granule of kudzu root, fern root, and yam bean starches showed similar morphology, most of which are spherical, but lily starch exhibited spindle-shaped morphology. The RVA results showed that the peak viscosity of lily starch was the highest [(7.00±0.03) Pa·s] among these four starches. The setback value of kudzu root starch and lily starch was more than fern root starch and yam bean starch, which indicating that kudzu root starch and lily starch was easy to retrograde. The DSC results showed that the initial gelatinization temperature of fern root starch was 59.4 ℃, which was the lowest among these starches, indicating that it was easy to gelatinize. Lily starch has the highest gelatinization enthalpy, which is 15.64 J/g, indicating that more heat was required for gelatinization. After gelatinization, the kudzu root starch paste has the best transparency with a light transmittance of 29.11%, while lily starch paste has a light transmittance of only 12.25%. Kudzu root starch paste and lily starch paste was easy to form gels, but the fluidity was poor. Conclusion: Lily starch and kudzu root starch have similar instant properties and have potential for the development of instant foods, fern root starch and cold potato starch showed a lower retrogradation value, and their paste showed better fluidity, which can be used to inhibit the retrogradation of food.

ObjectiveTo construct a YOLOv3-based model for diatom identification in scanning electron microscope images, explore the application performance in practical cases and discuss the advantages of this model.MethodsA total of 25 000 scanning electron microscopy images were collected at 1 500× as an initial image set, and input into the YOLOv3 network to train the identification model after experts’ annotation and image processing. Diatom scanning electron microscopy images of lung, liver and kidney tissues taken from 8 drowning cases were identified by this model under the threshold of 0.4, 0.6 and 0.8 respectively, and were also identified by experts manually. The application performance of this model was evaluated through the recognition speed, recall rate and precision rate.ResultsThe mean average precision of the model in the validation set and test set was 94.8% and 94.3%, respectively, and the average recall rate was 81.2% and 81.5%, respectively. The recognition speed of the model is more than 9 times faster than that of manual recognition. Under the threshold of 0.4, the mean recall rate and precision rate of diatoms in lung tissues were 89.6% and 87.8%, respectively. The overall recall rate in liver and kidney tissues was 100% and the precision rate was less than 5%. As the threshold increased, the recall rate in all tissues decreased and the precision rate increased. The F1 score of the model in lung tissues decreased with the increase of threshold, while the F1 score in liver and kidney tissues with the increase of threshold.ConclusionThe YOLOv3-based diatom electron microscope images automatic identification model works at a rapid speed and shows high recall rates in all tissues and high precision rates in lung tissues under an appropriate threshold. The identification model greatly reduces the workload of manual recognition, and has a good application prospect.

In order to solve the traditional A* algorithm is not taken into account when planning path obstacle distribution on the influence of the path selection,this paper puts forward an improved A* algorithm,the artificial potential field of thought and the traditional A* algorithm,the combination of the obstacles in grid map gives repulsive force function and the repulsive force around the grid size calculation,in order to improve the searching ability of A* algorithm,the repulsive force of the grid is introduced into the evaluation function of A* algorithm.The results of MATLAB simulation and Turtlebot experiments show that,compared with the traditional A* algorithm,the new improved algorithm combined with artificial potential field algorithm can plan a better path,improve the efficiency of path planning,and increase the search speed by 13.40%~29.68%.The path length is shortened by 10.56%~24.38%,and the number of path nodes is reduced by 6.89%~27.27%.The experimental results show that the improved A* algorithm has obvious optimization effect and is effective and feasible.

The carbon fiber/epoxy resin composites with different stitch density were manufactured using modified lock stitching and vacuum assisted resin infusion (VARI) molding process. The influence of stitch space and stitch pitch on mechanical properties of the composites was investigated. The optimum stitch density was obtained. The results show that with increasing stitch space, both tensile and flexural properties enhance and interlaminar shear strength increases first and then decreases. With the increase of stitch pitch, both tensile and flexural properties exhibit an increasing trend. The stitched composites have the optimum integrated mechanical properties when the stitch density is 5 mm×8 mm. Their tensile strength, tensile modulus, flexural strength and flexural modulus reduce by 13.3%, 12.7%, 23.0% and 25.2%, respectively, whereas the interlaminar shear strength increases by 11.3% compared to the unstitched composites.

In order to ensure the full melting of the thermoplastic composites (TPC) prepreg in the process of automated fiber placement (AFP) and offer the potential to realize the in-situ consolidation for TPC, it is necessary to control the temperature of the prepreg in AFP. Aiming at the processing speed will be changed within the larger scope, an infrared heating technology with fast response rate and efficient was proposed. Based on the analysis of the heat transfer process between the infrared heat source and the layers, the control equation of dynamic temperature was put forward and the matching relationship between the radiation intensity and laying speed was established. Based on the AFP platform, the infrared heating system which adopts the feedforward control method was constructed and the corresponding control strategy was formulated according to the dynamic thermostatic control equation to realize the heating temperature of prepreg controlled accurately. The experiment results show that the infrared heating thermostatic control system can meet the requirement of dynamic thermostatic control in the condition of variable speed and the compressive strength and the interlaminar shear strength for AFP component are closed to the moulded component.

Based on electrochemical anodic oxidation, an innovative technique was developed to efficiently obtain the uniform catalyst coating on continuous carbon fibers. Through systematic investigation on the effect of electrochemical modified strength on the physical and chemical characteristics of carbon fiber surface, catalyst particles and the morphology of CNTs-grafted carbon fibers, tensile strength of multi-scale reinforcement and the interlaminar shear strength of its reinforced composites, the electrochemical modification process on carbon fibre surface was optimized. The results show that the morphology and distribution of catalyst particles not only affect the morphology of CNTs deposited on the surface of carbon fibres,but also affect the mechanical properties of multi-scale reinforcement and its reinforced composites of CNTs-grafted carbon fibers.

In order to increase the reliability and efficiency of the kineto- static analysis of complex space robot systems,the corresponding vector bond graph method is proposed. From the kinematic constraint condition,the vector bond graph models of spherical joint and prismatic joint are built. Based on this,the vector bond graph model of 3PS + 1PS parallel robot is established. For the algebraic difficulties brought by differential causality and nonlinear junction structure in automatic modeling and kineto- static analysis of spatial robot mechanism,the effective bond graph augment method is proposed. By the corresponding algorithm,the automatic modeling and kineto- static analysis of 3PS + 1PS parallel robot system on a computer is realized,its validity is illustrated.

Based on the study of characteristics of the distributed virtual environment and current event matching algo-rithms,a content-based effective event matching（CEEM） algorithm was proposed.By considering the efficiency of both subscription processing and event matching,this algorithm can solve the symmetric event matching efficiently,so as to make the content-based publish/subscribe model fit the virtual environment better.Finally,experiments and performance analysis show that CEEM is both practical and effective.

The coverage quality measuring and optimization problems were studied using moving target tracking as the application background. Based on the idea of grid discretization, a graph-theory based algorithm was proposed to search minimal exposure path for the moving target barrier coverage problem using exposure as the performance metric. And a multi-step incremental barrier coverage optimization method was proposed based on the minimal exposure path. The proposed algorithms’ performance was validated by simulation experiments in the end. Experiments show the algorithms are applicable to the barrier coverage problems with arbitrary node distribution model,sensing model,network charac- teristics and moving path of the target, can decrease the number of nodes need to be deployed in order to meet the specific coverage quality requirement and accordingly cut the network cost significantly.

In order to solve problems of early corrosion of contour and early surface coating spallation of sheet metal parts, production process of a pitch of body of sheet metal parts of one product was tracked, and influence of techniques of burrs removing and coating on coating quality were analyzed. The analysis result showed that remained burrs is main cause of early corrosion of contour and existing of oxide films is basic cause of early surface coating spallation.

The inland river basin in Hexi, Gansu Province, is extremely short of water resources. There are certain differences in the changes of mountain runoff between the central and western and eastern water systems in the basin. Studying the changes in mountain runoff and the contribution rates of different factors is of great significance for ensuring the sustainable development and utilization of regional water resources. Based on the data of mountain runoff and precipitation and temperature in the main runoff producing areas from 1956 to 2021, various trends and mutation tests, cumulative slope change rate methods, and combined with the characteristics of runoff supply, the changes in mountain runoff and their responses to changes in precipitation and temperature in the three major water systems were analyzed. The results show that: 1 the average annual mountain runoff of the Shiyang River system was 1.36 billion m³, showing a non-significant decreasing trend over the years and a non-significant increasing trend in precipitation, The significant increase in temperature leads to an increase in evaporation, resulting in a decrease in runoff; 2 The average annual runoff from the Heihe River system has increased from 3.062 billion m³ before the mutation point in 2006 to 3.56 billion m³ after the mutation point. The contribution rate of precipitation to runoff changes is 16.7%, and the temperature has significantly increased, enhancing the impact on runoff changes; 3 The average annual runoff from the Shule River system has increased from 1.422 billion m3 before the mutation point in 1998 to 17.93 m3 after the mutation point. The impact of precipitation and temperature on runoff changes is similar, with contribution rates of 30.4% and 30.2%, respectively. There are certain differences in run-off supply characteristics and climate conditions among the three major inland river systems in Hexi, resulting in inconsistent responses of runoff to different driving factors. [ABSTRACT FROM AUTHOR]

Swamp eel (Monopterus albus) is an important freshwater culture fish in China and has the characteristic of hermaphroditism and natural sexual reversal. Currently, there is a lack of artificial varieties within swamp eel cultivation, and the fry of mainly rely on the wild catching. Gynogenesis, a method for rapidly obtaining fish population with stable heredity and excellent character, was explored in this study. Meiogynogenesis induction was established in swamp eel, resulting in the creation of three gynogenic populations characterized by deep-yellow coloration. Flow cytometry analysis showed that the cellular DNA contents of gynogenic eels were consistent with those of wild type fish, and chromosome counting confirmed the diploid nature with 48 chromosomes. Histological analysis demonstrated the development of ovaries in the gonads of gynogenic eels, indicating normal diploid functionality. Microsatellite diversity analysis showed that the effective number of alleles (Ne), Shannon's information index (I), polymorphism information content (PIC), observed heterozygosity (Ho) and expected heterozygosity (He) in gynogenic eels were significantly lower than those in the wild population. The genetic homozygosity in gynogenetic eels exhibited a significant improvement. The genetic distance increased and the genetic similarity decreased between gynogenetic groups. In summary, the gynogenetic population of the deep-yellow swamp eels provides new materials for breeding excellent varieties. [ABSTRACT FROM AUTHOR]

Data plays a crucial role in the development and application of artificial intelligence, which has become a consensus in industry and academia. Based on the interactive relationship between artificial intelligence and data, as well as the data-centric AI development practice, this paper proposes a data governance framework for artificial intelligence, which consists of six stages: source data governance, pre-trained data governance, evaluation data governance, fine-tuning data governance, inference data governance, and operation and maintenance data governance. Each stage has its key tasks and technologies. At the same time, this paper deeply analyzes the data governance cases and successful experiences of ChatGPT, Ziya2 and artificial intelligence models in the energy field to verify the effectiveness of the framework. The result shows that the framework plays an important role in improving the performance of artificial intelligence models and optimizing data governance processes. The framework provides reference for theoretical and practical innovation of data governance oriented to artificial intelligence.

[Objective] To analyze the influencing factors of repeat blood donor lapsing using a zero-inflated poisson regression model (ZIP). [Methods] The blood donation behavior of 12 498 whole blood donors from 2020 was tracked until December 31, 2023. The factors influencing the frequency of blood donations in a given year was analyzed using ZIP, and donors with 0 blood donation in that year were considered to have lapsed. The changes in relevant influencing factors associated with each blood donation were measured and modeled for analysis. [Results] The zero-inflated part of ZIP showed that the risk of lapsing of male blood donors was 2.24 times that of female blood donors (OR 95% CI:1.864-2.696, P

This study analyzes the factors influencing the exit of Taiwanese direct investment (TDI) enterprises from Chinese mainland by quantitatively measuring location advantage and spatial stickiness, the two core variables of strategic coupling. It also examines the mechanisms by which regional economies, institutional configurations, and corporate management strategies affect production relocation. Using Internet-sourced enterprise data, this study depicts the temporal and spatial dynamics of TDI enterprise survival in Chinese mainland from 2001 to 2022 and employs qualitative comparative analysis (QCA) to explore these drivers. The results reveal that the survival rate of TDI enterprises in Chinese mainland remained above 90%, with higher rates and resilience in the third stage (2014-2022). Spatially, survival rates have consistently been higher in the eastern coastal regions than in the underdeveloped central and western inland areas. Various policies and events, such as the 2008 financial crisis, US-China trade frictions, policies encouraging Taiwan's business repatriation, the New Southbound Policy, and COVID-19, have negatively impacted TDI survival, with the pandemic having a relatively small effect on enterprises surviving to 2-8 years. Synthesizing the results of high survival rate configurations, the strategic coupling relationships between the mainland and TDI enterprises evolved from captive coupling (2001-2007) to cooperative coupling (2008-2013) and reciprocal coupling (2014-2021), with locational advantage and spatial stickiness increasing over time. The key factors influencing TDI shifted from labor costs to regional market size and then to high value-added, innovation-driven fields with more mainland cooperation. This study provides a geographically grounded and multiscalar perspective on TDI enterprise survival, revealing the mechanisms through which strategic coupling affects TDI exits from a dynamic perspective. These findings highlight the importance of drivers and the quality of coupling in understanding the relationship between TDI and regional development in developing countries and regions. Robust domestic economies, large internal markets, competitive regional innovation environments, and preferential policies for Taiwanese businesses have become primary drivers of TDI. This exploratory study lays the groundwork for further research that incorporates industry heterogeneity to clarify the development dynamics and driving factors across different sectors.

This study investigated the physical properties and pest resistance of five common packaging materials. Tests were conducted on tensile properties, right-angle tearing strength, puncture resistance, combustion performance, friction coefficient, drop resistance, pressure resistance, and sealing performance. Pest resistance was evaluated using adult Tribolium castaneum (Herbst), adult Lasioderma serricorne (Fabricius), and newly hatched larvae of L. serricorne. The results showed that, in terms of mechanical properties, woven bags and aluminum foil bags exhibited superior tensile, tear, and puncture resistance. However, when used as packaging bags, non-woven fabrics and woven bags demonstrated better performance in friction, drop, and pressure resistance. All five packaging materials effectively protected wheat flour from stored grain pests, with vacuum plastic bags and aluminum foil bags providing complete protection.

Objective‍ ‍To analyze the risk factors for chronic mountain sickness （CMS） in young male migrants living in high-altitude areas and to construct a diagnostic model and evaluate its diagnostic efficacy. Methods‍ ‍From June 10 to December 29， 2023， a cross-sectional study was conducted on young male migrants subjected with convenience sampling who had been living in high-altitude areas （4 500~5 000 m） for 6 months or longer. Their demographic data were collected and blood samples were collected for laboratory test. According to the Qinghai Score for Chronic Mountain Sickness， they were divided into CMS group and non-CMS group. Then the participants were randomly divided into a training set and a test set in a ratio of 8∶2. Independent risk factors for CMS occurrence were screened out， through random forest variable importance ranking， univariate and multivariable logistic regression analysis， and a diagnostic model was constructed based on these factors. Receiver operating characteristic （ROC） curve analysis， calibration curve analysis， clinical decision curve analysis， and influence curve analysis were used to comprehensively evaluate the diagnostic performance of the model. Results‍ ‍According to the inclusion and exclusion criteria， 308 out of 376 participants were finally subjected， and 17.53% of them were diagnosed with CMS. The major clinical symptoms of the CMS patients were dyspnea or palpitations （79.63%） and sleep disorders （85.19%）. Further analysis revealed that creatine kinase-MB/creatine kinase （CK-MB/CK， OR=2.17， 95%CI： 1.43~3.28）， high-altitude residence time （OR=2.44， 95%CI： 1.08~5.54）， and body mass index （BMI， OR=1.62， 95%CI： 1.05~2.50） were 3 major independent risk factors for CMS. The area under the curve （AUC） value of the CMS diagnostic model in the training set and test set was 0.821 （95%CI： 0.756~0.886） and 0.821 （95%CI： 0.700~0.944）， the specificity was 66.30% and 73.90%， the sensitivity was 89.50% and 81.20%， respectively， indicating good discrimination ability. Hosmer-Lemeshow goodness-of-fit test showed consistency between predicted results and actual observations （χ²=10.029， P=0.263； χ²=4.477， P=0.812）. Clinical decision curve analysis demonstrated that within the threshold probability range from 0.1 to 0.7， the net benefit of the model exceeded both full intervention and no intervention strategies. The influence curve analysis showed high consistency between the model predictions and actual incidence when the threshold probability exceeded 0.4. These two analyses together confirmed the clinical application value of the model. Conclusion‍ ‍CK-MB/CK， high-altitude residence time and BMI are independent risk factors for CMS， and their diagnostic model helps identify potential individuals at risk for CMS. Early intervention can prevent the harm of CMS to the health of young men migrating to high-altitude areas.

The aim of the experiment was to study the suitable mixing method of hybrid Pennisetum and different forage in different proportions. Lablab purpureus, Amaranthus hypochondriacus and Sorghum bicolor were selected as mixed objects, and the mixing ratios were 80 : 20, 70 : 30 and 60 : 40, respectively, according to the fresh weight of raw materials. After 45 d of silage, sensory evaluation, nutrient composition analysis, fermentation quality analysis and kaiser score were performed. The results showed that mixing hybrid Pennisetum and Lablab purpureus at the ratio of 80 : 20 and 70 : 30 could significantly increased the content of CP, NDF, ADF, WSC and RFV of silage (P<0.05). Mixing hybrid Pennisetum with Sorghum bicolor at the ratio of 70 : 30 could significantly decreasedthe content of acetic acid and butyric acid and improve the fermentation quality of silage (P<0.05). The pH value and acetic acid content of mixed silage of hybrid Pennisetum and Amaranthus hypochondriacus were increased which could not improve the fermentation quality of silage. The study indicates that the optimum mixing ensilage ratio of hybrid Pennisetum and Lablab purpureus is 80 : 20 and 70 : 30, and the optimum mixing ensilage ratio of hybrid Pennisetum with Sorghum bicolor is 70 : 30. [ABSTRACT FROM AUTHOR]

Existing anonymous communication systems that resisted traffic analysis could hide the identities of the communicating parties from the attacker. However, the identities of the communicating parties couldn’t be hidden from each other, and thus these systems did not apply to the scenario of anonymous whistleblowing and replying, where it was necessary to protect the identity of the whistleblower. To address this issue, an efficient anonymous whistleblower response scheme was proposed. With the technology of distributed point functions and secret sharing, the message was stored in two separate mailbox databases of non-colluding servers, so that the identity of the data receiver was hidden from the attacker. With the technology of secret sharing and encryption, the email address of the whistleblower was hidden, so that the receiving organization could reply without learning the whistleblower’s identity. The security analysis showed that the proposed scheme enabled the anonymity of both data receivers and whistleblowers at the same time. The experimental results show that compared to the Express scheme, the proposed scheme reduces the computational complexity during a reply to O(1) from O(logN), resulting in a 60% reduction in computational overhead for the receiving organization and a 50% reduction for the server.

Traditional electric vehicle （EV） load forecasting methods often fail to fully utilize the spatial correlation among EV loads， resulting in low forecasting accuracy. To address this issue， a load forecasting method using graph convolution network-long short-term memory （GCN-LSTM） is proposed. Firstly， graph data is constructed to describe the distribution of charging stations in the region， and the spatial dependency information between the charging station under study and neighboring charging stations is extracted using a GCN. Secondly， the information extracted by the GCN at different time periods is formed into a time series and input into the LSTM to forecast the EV charging loads. Finally， the proposed algorithm is validated by using load data from charging stations in an urban area in China as an example. The results show that the proposed method can effectively improve forecasting accuracy.

Chronic inducible urticaria (CIndU) is a chronic urticaria caused by unique triggers, manifested by wheals and angioedema as common symptoms. Omalizumab is a recombinant humanized anti-IgE antibody, which is currently listed as the third-line treatment for CIndU in international guidelines, and there are some precedents for the treatment of CIndU with omalizumab, but the relevant dose, efficacy, adverse reactions and other data are relatively insufficient. The purpose of this article is to review the efficacy and treatment progress of omalizumab in the treatment of various types of CIndU, and to provide a rationale for the treatment of patients with CIndU.

Chronic actinic dermatitis (CAD) is a group of immune-mediated diseases characterized by photosensitivity. Tofacitinib, a Janus kinase (JAK) 1/3 inhibitor, is currently the most extensively reported and widely used JAK inhibitor for the treatment of CAD. This article aims to briefly overview the background of CAD and tofacitinib, as well as to summarize the mechanisms of tofacitinib in the treatment of chronic actinic dermatitis, commonly used therapeutic dosages, specific efficacy, and adverse effects. Additionally, a brief comparison of tofacitinib with other JAK inhibitors is also included.

Objective·To analyze the imaging characteristics and diagnostic value of 18F-fluorodeoxyglucose positron emission tomography-computed tomography (18F-FDG PET/CT) in mantle cell lymphoma (MCL) and explore its application to distinguishing between classic and aggressive variants of MCL.Methods·A retrospective analysis was conducted on the 18F-FDG PET/CT images and clinical data of 116 pathologically confirmed, newly diagnosed MCL patients. The imaging features of intra- and extra-nodal lesions were summarized. The accuracy of 18F-FDG PET/CT in diagnosing bone marrow and gastrointestinal involvement in MCL was evaluated. Furthermore, differences in 18F-FDG PET/CT findings and clinical characteristics between the classic and aggressive variants of MCL were analyzed.Results·Among the 116 patients, 100.0% showed positive findings on 18F-FDG PET/CT, with 99.1% exhibiting abnormal lymph nodes and 85.3% having extra-nodal involvement. The most common extra-nodal sites were the spleen, Waldeyer's ring, bone marrow, and gastrointestinal tract. Compared with bone marrow aspiration results, the sensitivity, specificity, and accuracy of 18F-FDG PET/CT for detecting bone marrow involvement in MCL were 43.4%, 91.5%, and 66.0%, respectively. When compared with endoscopic biopsy results, the sensitivity of 18F-FDG PET/CT for detecting gastric and intestinal involvement was 100.0% and 94.1%, respectively, with specificity of 75.0% and 100.0%, and accuracy of 92.9% and 94.7%, respectively. There were significant differences in the highest maximum standardized uptake value (SUVmax) and Ki-67 index between the classic and aggressive variants of MCL, with SUVmax positively correlated with Ki-67 index. By using SUVmax > 10.4 as the diagnostic threshold, the sensitivity and specificity for differentiating between the classic and aggressive variants of MCL were 73.9% and 77.4%, respectively, with an AUC value of 0.797.Conclusion·18F-FDG PET/CT demonstrates a high detection rate for both intra- and extra-nodal lesions in MCL patients. It exhibits high specificity in diagnosing bone marrow involvement and high sensitivity and specificity in diagnosing gastrointestinal involvement, providing reliable non-invasive diagnostic information for MCL bone marrow and gastrointestinal involvement. However, it is not a substitute for pathological examination. Additionally, the positive correlation between SUVmax and Ki-67 index allows SUVmax to effectively differentiate between the classic and aggressive variants of MCL, with a higher SUVmax (>10.4) indicating a higher likelihood of the aggressive variant. These findings have clinical implications for treatment planning and prognosis assessment.

【Objective】Common optical switches are usually polarization sensitive or have complex structures, the article proposes a 2×2 microfluidic optical switch.【Methods】The optical switch proposed in this article employs a waveguide structure. It utilizes microfluidic driving technology based on magnetic fluids, along with trace amounts of liquid and air, to achieve optical path selection and switching functions for the optical switch. The transmission characteristics of optical switch are studied and discussed, and the structure of optical switch is optimized.【Results】The results show that the insertion losses at two output ports of optical switch are 0.42 and 0.20 dB, and the crosstalk are -24.13 and -42.63 dB, respectively.【Conclusion】The proposed 2×2 microfluidic optical switch has simple structure and is not sensitive to polarization. It also has lower insertion loss and crosstalk than common optical switches. It can be used as the switching core for building Optical Cross Connect (OXC) equipment to realize the fault protection function of the optical network.

ObjectiveTo establish an item response theory (IRT) model for functional assessment of spinal muscular atrophy based on the Hammersmith functional motor scale expanded.MethodsA total of 23 patients with SMA were treated with corrective treatment in the Department of Geriatric Neurology and the Department of Pediatrics of the First Affiliated Hospital with Nanjing Medical University from February 2021 to June 2023. IRT was constructed using these repeated measurement data based on stack design. The comparisons between well-fitted models were based on likelihood ratio. And item guessing, carelessness, difficultyand personal abilities (θ) of selected optimal model were calculated. Differential test functioning (DTF) test was conducted for gender and rehabilitation therapy to test the bias. Monte Carlo simulation was used to prove that the item difficulty distribution of the model was not affected by the sampling process. And person-item plot was drawn according to the median expected difficulty. and the differences in the difficulty of each item in HFMSE scale and personal abilities among each evaluations were discussed.ResultsA total of 32items were included in this study and 4 alternative models were constructed. Three-parametric logistic model was selected as the optimal model with the best fitness (P＞0.05, M2 statistics = 479.75). In 3PLM, the caution of all items was 1, and the discrimination, guessing and difficulty of the items were calculated. There were no DTFs for gender and rehabilitation therapy. The results showed high reliability (Cronbach's α = 0.955, LCRC = 0.981) and validity [θ value is positively correlated with the original total score (P

ObjectiveTo understand the epidemiological characteristics of syphilis in Ruian City, so as to provide a scientific basis for developing syphilis prevention and control strategies.MethodsDescriptive epidemiological methods were used to investigate the infection status of syphilis cases reported among the permanent resident population in Ruian City from 2014 to 2023, and its epidemiological characteristics were analyzed.ResultsA total of 5 482 syphilis cases were reported in Ruian from 2014 to 2023, with a male-female ratio of 1∶1.47. The average annual incidence rate from 2014 to 2023 was 37.51/100 000, with a declining trend in the incidence rate among females (APC=-4.78%, P

[Objective]Grape picking is a key link in increasing production. However, in this process, a large amount of manpower and material resources are required, which makes the picking process complex and slow. To enhance harvesting efficiency and achieve automated grape harvesting, an improved YOLOv8n object detection model named 3C-YOLOv8n was proposed, which integrates the RealSense D415 depth camera for grape recognition and localization.[Methods]The propoesed 3C-YOLOv8n incorporated a convolutional block attention module (CBAM) between the first C2f module and the third Conv module in the backbone network. Additionally, a channel attention (CA) module was added at the end of the backbone structure, resulting in a new 2C-C2f backbone network architecture. This design enabled the model to sequentially infer attention maps across two independent dimensions (channel and spatial), optimize features by considering relationships between channels and positional information. The network structure was both flexible and lightweight. Furthermore, the Content-aware ReAssembly of Features up sampling operator was implemented to support instance-specific kernels (such as deconvolution) for feature reconstruction with neighboring pixels, replacing the nearest neighbor interpolation operator in the YOLOv8n neck network. This enhancement increased the receptive field and guided the reconstruction process based on input features while maintaining low parameter and computational complexity, thereby forming the 3C-YOLOv8n model. The pyrealsense2 library was utilized to obtain pixel position information from the target area using the Intel RealSense D415 camera. During this process, the depth camera was used to capture images, and target detection algorithms were employed to pinpoint the location of grapes. The camera's depth sensor facilitated the acquisition of the three-dimensional point cloud of grapes, allowing for the calculation of the distance from the pixel point to the camera and the subsequent determination of the three-dimensional coordinates of the center of the target's bounding box in the camera coordinate system, thus achieving grape recognition and localization.[Results and Discussions]Comparative and ablation experiments were conducted. it was observed that the 3C-YOLOv8n model achieved a mean average precision (mAP) of 94.3% at an intersection ratio of 0.5 (IOU=0.5), surpassing the YOLOv8n model by 1%. The accuracy (P) and recall (R) rates were recorded at 91.6% and 86.4%, respectively, reflecting increases of 0.1% and 0.7%. The F1-Score also improved by 0.4%, demonstrating that the improved network model met the experimental accuracy and recall requirements. In terms of loss, the 3C-YOLOv8n algorithm exhibited superior performance, with a rapid decrease in loss values and minimal fluctuations, ultimately leading to a minimized loss value. This indicated that the improved algorithm quickly reached a convergence state, enhancing both model accuracy and convergence speed. The ablation experiments revealed that the original YOLOv8n model yielded a mAP of 93.3%. The integration of the CBAM and CA attention mechanisms into the YOLOv8n backbone resulted in mAP values of 93.5% each. The addition of the Content-aware ReAssembly of Features up sampling operator to the neck network of YOLOv8n produced a 0.5% increase in mAP, culminating in a value of 93.8%. The combination of the three improvement strategies yielded mAP increases of 0.3, 0.7, and 0.8%, respectively, compared to the YOLOv8n model. Overall, the 3C-YOLOv8n model demonstrated the best detection performance, achieving the highest mAP of 94.3%. The ablation results confirmed the positive impact of the proposed improvement strategies on the experimental outcomes. Compared to other mainstream YOLO series algorithms, all evaluation metrics showed enhancements, with the lowest missed detection and false detection rates among all tested algorithms, underscoring its practical advantages in detection tasks.[Conclusions]By effectively addressing the inefficiencies of manual labor, 3C-YOLOv8n network model not only enhances the precision of grape recognition and localization but also significantly optimizes overall harvesting efficiency. Its superior performance in evaluation metrics such as precision, recall, mAP, and F1-Score, alongside the lowest recorded loss values among YOLO series algorithms, indicates a remarkable advancement in model convergence and operational effectiveness. Furthermore, the model's high accuracy in grape target recognition not only lays the groundwork for automated harvesting systems but also enables the implementation of complementary intelligent operations.

Skin photoaging, a phenomenon of premature skin aging due to prolonged exposure to ultraviolet (UV) radiation, manifests as wrinkles, loss of skin elasticity, pigmentation disorders, and age spots. Non-coding RNAs (ncRNAs), including microRNAs (miRNAs), long non-coding RNAs (lncRNAs), and circular RNAs (circRNAs), play a crucial role in regulating gene expression and the development of skin photoaging. This review summarizes the molecular mechanisms of specific ncRNAs (such as miR-34a, miR-134, miR-1246, lncRNA H19-miR-296-5p-IGF2, lncRNA PVT1-miR-551b-3p-AQP3, lncRNAMeg3-miR-93-5p-epiregulin, circ-COL3A1-859267 and circ-0011129) in skin photoaging. Additionally, the review discusses the potential application of ncRNA-based therapies in photoaging, as well as the current challenges and future research directions.

Breast cancer has become one of the most prevalent cancers among women worldwide, posing a significant burden on their health. Current standard therapies are often expensive and associated with the risk of drug resistance. Drug repurposing has gained increasing attention as a cost-effective and time-saving strategy in pharmaceutical research. Many drugs already in clinical use or undergoing clinical trials can be repurposed for the treatment of new clinical indications. Based on a comprehensive understanding of the mechanisms of action of these drugs and the pathophysiological processes of breast cancer, researchers can better identify drugs with potential anti-breast cancer properties and translate them into clinical practice. This paper provides a review of the current research on repurposing existing drugs for breast cancer treatment, summarizes the mechanisms of action of these drugs, and discusses the challenges associated with the strategy of drug repurposing.

Sludge biochar was prepared from municipal sewage sludge by oxygen-limited pyrolysis at 800 ℃, and modified with sodium hydroxide to obtain alkali-modified sludge biochar (N-SDBC) as a catalyst to activate peroxyacetic acid (PAA) for the degradation of sulfamethoxazole (SMX). The catalyst was characterized by SEM, FTIR, BET, and acid-base potential methods. The effects of oxidant concentration, catalyst dosage, initial pH, common anions in water, and humic acid on the degradation performance of SMX were investigated. The results showed that the degradation rate of SMX reached 83.8% in 90 minutes under the conditions of N-SDBC mass concentration of 1.5 g/L, PAA concentration of 1.0 mmol/L, and initial pH of 3.0. The coexisting anions and humic acids in the water body inhibited the degradation of SMX to different degrees. The results of the bursting experiments and electrochemical tests showed that ·OH and 1O2 were the main reactive oxygen species in the system, and there was an electron transfer mechanism in the N-SDBC/PAA system for the degradation of SMX. After four reused tests, the removal rate of SMX was maintained above 70%, indicating that N-SDBC had good stability.

This paper investigated the effect of three efficient petroleum-degrading bacterial strains on oily wastewater treatment by sequencing batch reactor activated sludge process (SBR). The results showed that the average removal rates of COD were 90.8%, 92.8%, and 98.2%, respectively, the average removal rates of oily substance were 79.1%, 80.0%, and 92.8%, respectively, the average removal rates of NH4+-N were 87.5%, 91.4%, and 94.7%, respectively, and the average removal rates of TP were 23.8%, 30.9% and 44.4%, respectively, in the SBR with the addition of bacterial strains Ochrobactrum sp. FP1, Pseudomonas sp. X1 and Rhodococcus erythropolis KB1. Compared with the unspiked petroleum-degrading bacteria, the spiked petroleum-degrading bacterial strains could significantly improve the removal efficiency of SBR for each pollutant in the oily wastewater. Meanwhile, the system operation was stable and the shock load resistance was high. The experimental results also showed that the addition of FeCl3 to the SBR could improve the removal of TP by using chemical phosphorus removal to assist biological phosphorus removal, and improve the flocculation and sedimentation performance of activated sludge and increase the active biomass in the system. This study provided a reference for the process design and equipment operation of bio-enhanced SBR for the treatment of oily wastewater. The petroleum-degrading bacteria-enhanced SBR technology is expected to be applied to the biological treatment of oily wastewater.

Configuring a reactive power compensation capacitors as a resonant-free C-type filter is a common method to suppress reactive power compensation capacitors resonance. It can also be used to reduce the amplification of harmonic voltage caused by resonance and the power loss of the filter. However, the parameter selection range of resonant-free C-type filters is limited when the low frequency harmonic resonance needs to be suppressed, making it challenging to achieve low frequency harmonic resonance suppression economically. To address this issue, an optimal design method of a resonant-free C-type filter is proposed. Firstly, an improved C-type filter structure is designed to eliminate potential low frequency resonance points by incorporating a low frequency harmonic resonance suppression unit into the C-type filter. Next, a configuration model of the filter's element parameter is established, which takes into account the cost, power loss, the performance of resonant suppression and the selection range of element parameters. The optimal value of the improved C-type filter element parameters can be determined by the configuration model. The simulation and comparison results show that the filter designed by the method in this paper reduces the harmonic amplification ratio significantly and it has better performance of resonant suppression based on controlling the cost and power loss.

[Objective] To explore the characteristics of lifestyle behaviors and mental health status among blood donors in Guangzhou, and to investigate the correlation between donation frequency and these factors. [Methods] A cross-sectional study was conducted among 13 042 whole blood donors from 17 street blood donation sites of Guangzhou Blood Center from May to August 2020. Descriptive analysis was used to describe the characteristics of lifestyle behaviors and mental health status among blood donors in Guangzhou. Ordinal multinomial logistic regression model was used to analyze the correlation between donation frequency and these factors. [Results] It was found that some of 13 042 blood donors had unhealthy habits, such as 6.8% (698/10 214，2 828 missing values) had severe tobacco dependence, 30.6% (3 997/13 042) had low exercise levels, 38.8%（5 056/13 042）had poor sleep quality, and 2.2% (271/12 159，883 missing values) had alcohol dependence. In addition, 2.8% (364/13 042) and 1.3% (172/13 042) of the donors may have moderate to severe depression and anxiety symptoms, respectively. The results of the ordinal multinomial logistic regression model showed that exercise level was significantly negatively correlated with the degree of depression and anxiety among blood donors. With the decrease in exercise level, the possibility of depression and anxiety among donors increased significantly. BMI, household income, education level, marital status, donation frequency, alcohol consumption and smoking had no significant correlation with the mental health status of donors. [Conclusion] Improving the exercise habits of blood donors may help enhance their mental health level. It is recommended that blood station staff strengthen the content of exercise when providing health education to blood donors to maintain a healthy lifestyle. It also suggests that there may be a certain degree of under-diagnosis of mental health problems in the process of health consultation before blood donation, and conducting more comprehensive and effective mental health assessments for blood donors is recommended.

The development of urbanization has fostered the rise of instrumental rationality and the decline of value rationality, leading to a diminishing sense of belonging among individuals in fast-paced urban life. As a result, rurality has become a core attraction for rural tourists. Research on rurality has emerged as a key topic in the fields of rural geography and rural tourism. However, relatively little research has focused on how to realize micro-level human-land interactions and achieve a subjective understanding of rurality in rural tourism destinations from a cognitive perspective. Schema theory offers a framework to explore this issue. Amid the confrontation and integration of modernity and provinciality, the rurality of rural World Heritage sites, by preserving the integrity and authenticity of traditional rural social structures, enhances tourists' local attachment and local experiences. This paper uses Hongcun, a rural World Heritage site, as a case study, introducing schema theory to explore the cognitive schema of rurality and its generation mechanism among tourists by conducting a grounded theory analysis of travel notes on Ctrip. Through open coding, axial coding, and selective coding, a model of rurality cognitive schema and its generation mechanism was constructed. The findings are as follows: 1) Tourists acquire a concrete schema of rurality through embodied experiences and behavioral interactions, which resonate with and enrich their existing schemas, facilitating schema integration across time and space; 2) The existing schema, shaped by cultural background and individual experience, serves as the foundation for tourists to form cognitive schemas. The local characteristics of traditional Chinese rural society and the traditional culture passed down through generations are embedded in individuals' existing schemas. Tourists' existing schemas interact with the rural tourism environment, engaging in both top-down and bottom-up cognitive processing through anticipation contrast, uniqueness contrast, feature association, and cross-temporal imagination. 3) The rural cognitive schema consists of four sub-schemas: the natural ecological schema, life schema, cultural schema, and place atmosphere schema. The natural ecological schema emphasizes tourists' perception of the interplay between rural nature and humanity. The life schema pertains to daily life scenes observed at the tourist destination, while the cultural schema refers to the local culture formed through the development and evolution of the destination. The place atmosphere schema captures the abstract perception and impression of the destination, formed through the interaction between tourists' embodied experiences and their existing schemas. The natural ecological schema provides the spatial foundation for both the life and cultural schemas, while the latter two exert external influences on the natural ecological schema, helping shape the rural area's natural and humanistic characteristics. The cultural schema informs and regulates the life schema, while the life schema simultaneously practices and reshapes the cultural schema. Together, these schemas, along with the place atmosphere schema, form a comprehensive cognitive network of rural nature. This study is significant for deepening the understanding of the connotation and formation mechanism of rurality, exploring human-local interaction from a microscopic perspective, and offering theoretical and practical guidance for the development of rural tourism through the mining of rurality and culture.

Objective To compare the therapeutic efficacy of robot-assisted laparoscopic radical prostatectomy versus conventional laparoscopic radical prostatectomy, and analyze the factors influencing treatment outcomes. Methods A retrospective cohort study was conducted on 719 patients (total cohort) who underwent radical prostatectomy in our department from June 2002 to October 2023. According to different surgical methods, they were divided into robot-assisted laparoscopic radical prostatectomy group (robotic group, n=409) and conventional laparoscopic radical prostatectomy group (conventional group, n=310). Clinical characteristics, biochemical recurrence rates, and recovery of urinary continence at 1, 3, 6, and 12 months postoperatively, as well as sexual function recovery at 6 and 12 months after surgery, were compared between the 2 groups. Additionally, the factors influencing biochemical recurrence and urinary continence recovery were analyzed across the entire cohort. Results In the cohort, the robot group demonstrated significantly larger proportions of pathological high T stages (≥pT3, P < 0.01), increased positive lymph node rate (P < 0.01), and greater number of dissected lymph nodes (P < 0.01) than the conventional group. There were no statistical differences between the 2 groups in terms of Gleason score, biochemical recurrence rate, or incidence and type of complications. The robot group exhibited significantly higher rates of urinary continence recovery at 1 (P=0.004), 3 (P < 0.01), 6 (P=0.002) and 12 months (P=0.004) postoperatively. But no obvious difference was seen in the score of International Index of Erectile Function-5 (IIEF-5) between the 2 groups at 6 and 12 months. Across the entire cohort, pathological high T stage (≥pT3, P < 0.01), high Gleason score (>7, P=0.036), fewer lymph nodes dissected (≤10, P < 0.01), and positive lymph nodes (P=0.046) were independent risk factors for biochemical recurrence. Additionally, the surgical method, specifically robot-assisted laparoscopic radical prostatectomy, was identified as a significant factor influencing urinary continence recovery at 12 months postoperatively (P=0.005). Conclusion Compared to conventional laparoscopic radical prostatectomy, robot-assisted laparoscopic radical prostatectomy shows certain effect on reducing biochemical recurrence rate and enhancing recovery of urinary continence in prostate cancer patients at 1, 3, 6 and 12 months postoperatively.

Parkinson’s disease (PD) is a chronic degenerative disorder of the nervous system. Lipids, as fundamental components of cells, are integral to both structural functions and physiological roles. They are essential for the development of brain structures and the maintenance of normal physiological activity in nerve cells. Lipid metabolism is intricately involved in the pathological progression of PD. This review primarily summarizes the abnormalities in lipid metabolism observed in PD, the resultant pathological damage, and lipid metabolism-based therapeutic strategies. Additionally, it discusses recent advancements in related drug research and explores future prospects in this field.

[Objective] To investigate the effects of different sand blending rates on the hydraulic properties and solute transport processes of moderately saline soils. [Methods] Four sand mixture ratios were established using an indoor soil column test: CK (0 sand mixing), B1 (10% sand mixing), B2 (15% sand mixing), and B3 (20% sand mixing), to investigate the solute transport characteristics of moderately saline soils under different sand mixing conditions and to perform model simulations. [Results] (1) In the range of 0~20%, sand mixing in moderately saline soil will obviously affect the change of soil moisture characteristic curve, and the larger the proportion of sand mixing, the closer the curve is to the Y-axis. Under any suction condition, the soil water content was ranked as CK>B1>B2>B3, and the larger the proportion of sand mixing, the more small pores in the soil, the reduction of small pores, and the weakening of soil water-holding properties. The saturated hydraulic conductivity of the soil increased with the increase of sand doping. (2) With the increase of sand doping, the solute penetration curve shifted significantly to the left, and the initial penetration time, complete penetration time, and total penetration time were reduced, and the total penetration time of B1, B2, and B3 treatments were reduced by 34.48%, 47.22%, and 69.71%, respectively, compared with that of CK. (3) Both the CED equation and the two-zone model can simulate the solute transport in soil under sand doping conditions well, but the fitting accuracy of the two-zone model is higher compared with the CDE equation. Analyses of the fitted parameters of the two-zone model showed that the soil pore flow rate, the water content ratio of the movable zone and the mass exchange coefficient gradually increased with the increase of sand doping, while the hydrodynamic dispersion coefficient and the dispersion degree showed a decreasing trend. [Conclusion] Therefore, sand blending in saline soils can effectively improve soil hydraulic properties, promote solute transport in the soil, and help alleviate the adverse effects of salinity on crop growth. The results of this study can provide reference for saline soil improvement and management work, and provide theoretical support and practical guidance for future research and practice.

A single input and multi-dimensional output 2RRS-S parallel mechanism was proposed based on the position and orientation characteristics (POC), and its topological structure, degree of freedom, and coupling degree were analyzed. A forward motion solution model of the mechanism was established by using the topological feature motion modeling method based on the coupling degree and verified through simulation models. According to the material mixing requirements, a three-dimensional model of a multi-dimensional mixing machine based on the 2RRS-S parallel mechanism was designed, and its motion trajectory and motion characteristics of attitude angles were simulated. Taking the variation change of the attitude angles of the moving platform as the objective function, the differential evolution algorithm was used to optimize the scale parameters of the mechanism, and the obtained mechanism has better mixing motion performance than that before the optimization.

In addressing the issues of medical record ownership and access control during the storage and sharing processes of electronic medical record (EMR), an EMR sharing solution based on Hyperledger Fabric was put forward . In this solution, EMR was encrypted and stored in IPFS (inter planetary file system) using proxy re-encryption technology implemented through smart contracts, depending on the conditions for sharing. The IPFS addresses of the records were recorded on the blockchain to ensure their immutability. For sharing EMR, patients established strict access control policies. Through the use of CP-ABE (attribute-based encryption) and the Asmuth-Bloom secret sharing algorithm, the EMR was encrypted so that only authorized personnel can access them. Simultaneously, parties involved in secret sharing collaborate to recover keys and decrypt the records.The document comprehensively discusses the security aspects of this solution, ensuring that EMR can withstand various attacks during storage and sharing, thus guaranteeing data integrity and privacy. Compared to other secret sharing schemes, this solution demonstrates better theoretical time complexity, providing an efficient and reliable solution for secure storage and multi-party sharing of EMR.

Tetra-n-butyl titanate was used to modify black peanut shells(PSs) to prepare Ti-based modified PSs biochar(Ti@PB). Its adsorption characteristics for Pb(Ⅱ) and Co(Ⅱ) in mixed solution were investigated. The characterization results of Ti@PB showed that Ti mass fraction reached 33.822%, indicating that Ti was successfully loaded on the surface of the biochar. In addition, the surface of Ti@PB was rough, with many irregular pore structures, which was an adsorbent material with mixture of micropores and mesopores, and the surface functional groups were mainly dominated by oxygen-containing functional groups. The removal of Pb(Ⅱ) and Co(Ⅱ) by Ti@PB was enhanced compared to the biochar prepared from unmodified PSs. The kinetic study demonstrated that the removal of Pb(Ⅱ) by Ti@PB followed the quasi-second-order kinetic equation and was dominated by chemisorption, while the removal of Co(Ⅱ) was more consistent with the quasi-first-order kinetic equation and was predominantly physisorbed. The isothermal adsorption fitting results showed that the adsorption of both Pb(Ⅱ) and Co(Ⅱ) by Ti@PB conformed to the Freundlich model as multilayer non-homogeneous phase adsorption.

At present, there is a common problem of significant increase in silicon content in the primary circuit (RCS) of domestic nuclear power plants. In order to seek reasonable methods and ideas to solve this problem, the main sources of silicon in RCS water were systematically investigated, and the treatment methods for ordinary silicon-containing water and the silicon treatment methods currently applied in RCS of nuclear power plants were summarized. The study showed that the silicon in RCS mainly was from fuel racks made of Boraflex materials and RCS fiberglass filter cartridges. There were many treatment technologies applied to ordinary silicon-containing water, but due to the high boron content of RCS water, only resin and membrane methods had been applied and practiced in RCS of nuclear power plants. Among them, ion exchange resin method could be used in the form of mobile devices for emergency treatment due to its high cost. NF and RO were typical membrane separation processes used for RCS silicon removal, but the recovery rate of boron in these processes was low. New technologies needed to be developed to improve the recovery rate of boron.

ObjectiveTo compare and understand the trends in quality control data changes in public and private medical institutions specializing in plastic and aesthetic major in China over the past three years.MethodsThe national quality control center of plastic and aesthetic major formulated quality control indicators, collected indicator data through the National Clinical Improvement System, conducted feedback verification on the data, organized and summarized the final data, and convened expert committees to analyze the data change trends.ResultsIn the past three years, the number of both public and private medical institutions specializing in plastic and aesthetic major has shown an upward trend. The number of doctors increased significantly in 2022, with over 90% of doctors in public institutions (about 70% in private institutions) receiving higher education. In recent years, the proportion of doctors from other specialties engaging in plastic and aesthetic activities has increased. The proportion of inpatients seeking aesthetic treatments has also increased. Among outpatient patients, the proportion of injection procedures was relatively low. About one-third of private medical institutions have not yet adopted an electronic medical record system.ConclusionsData feedback is the cornerstone of medical quality control in Chinese plastic and aesthetic major. Existing data indicates that the related industry is developing steadily, but there is still room for improvement in terms of some indicator data. However, due to the limited data from private medical institutions, it is still necessary to encourage them to improve their reporting enthusiasm in order to conduct a more comprehensive assessment in the future.

Pre-post processing model of ABAQUS was developed secondarily based on Python language, and the simulation evaluation plug-in of typical O-ring seal structure was formed. The results showed that based on the plug-in, geometric mode-ling, material assignment, mesh division, boundary loading, and result post-processing could be quickly performed and automatically generate Word reports , which could helped identify key design parameters that affected the sealing performance, verified design rationality, saved simulation time and greatly improved simulation efficiency.

BackgroundMetacognition， the capacity to monitor and control one's cognitive processes， has been identified as a crucial component of effective decision-making and behavioral adaptation. Previous research has revealed cognitive deficits in patients with major depressive disorder （MDD）， while findings about metacognitive capacities in patients with MDD have been inconsistent across studies， and the exact relationship between metacognitive capacities and clinical symptoms in MDD patients remains uncertain.ObjectiveTo examine the metacognitive capacities of adolescent hospitalized patients with MDD and to explore its relationship with depressive and anxiety symptoms， thus providing an unprecedented insight into the prevention of MDD.MethodsA coherent 56 adolescent hospitalized patients with MDD in the Psychiatry Department at the Affiliated Hospital of Southwest Medical University from March 2022 to June 2023 and met the diagnostic criteria for depression as defined by the Diagnostic and Statistical Manual of Mental Disorders， fourth edition （DSM-IV） were enrolled as MDD group. At the same time， 62 healthy individuals matched with the age and sex of the MDD group residing in Luzhou were concurrently selected as control group. The metacognitive ability of the two groups was evaluated by perceptual decision-making task and confidence rating task， and the indicators included confidence deviation， reaction time of confidence evaluation and metacognitive efficiency. Additionally， the severity of depressive and anxiety symptoms was measured with Beck Depression Inventory （BDI） and Beck Anxiety Inventory （BAI）. Pearson correlation analysis was utilized to examine the relationship between metacognitive capacities and clinical symptoms.ResultsMDD group scored higher on BDI and BAI when compared with control group （t=-13.722， -9.674， P0.05）. In terms of metacognitive performance， MDD group reported a reduction in overall confidence， confidence in correct decisions， confidence in incorrect decisions and metacognitive efficiency compared with control group （t=3.044， 2.769， 2.836， 3.667， P0.05）. Furthermore， metacognitive efficiency in MDD patients exhibited negative correlation with both BDI and BAI scores （r=-0.269， -0.290， P

To achieve simple and reliable single-phase grounding fault protection on the AC side of VSC-HVDC systems， this paper focuses on systems where the neutral point of the converter valve's AC side is impedance-grounded. The zero-sequence fundamental component on the AC side and the common-mode component on the DC side are analyzed， and analytical expressions for the zero-sequence fundamental voltage and current at both the faulted and non-faulted terminals during a metallic grounding fault are derived. For VSC-HVDC systems utilizing third harmonic injection modulation， the phase characteristics of the longitudinal third harmonic voltage induced by this modulation are examined， and expressions for the third harmonic voltage and current are derived. Based on this analysis， protection criteria using the zero-sequence fundamental voltage and third harmonic voltage at neutral point are proposed to detect grounding faults and determine their location， along with the corresponding setting calculation method. Simulation results under various operating conditions show that the protection mechanism correctly activates when a grounding fault occurs at the protection installation terminal and does not operate erroneously when faults occur at other terminals.

Objective To conduct hazard vulnerability analysis(HVA) in a blood bank, aimed to identify high-risk events and optimize emergency management measures. Methods The risk event evaluation index system was established by referring to the Kaiser model and the situation of Guangzhou Blood Center, and risk events were ranked by risk matrix and Borda count. Results The top five events with the highest risk values identified by Kaiser model were information system emergencies (39.61%), extreme weather (38.03%), major public sentiment (37.86%), public health events (37.37%) and policy changes (37.24%). The results of risk matrix and Borda count revealed 1 extremely high-risk indicator as information system emergency, 5 high-risk indicators with the highest risk being major public sentiment, 11 medium-risk indicators with the highest risk being major medical disputes and 1 low-risk indicator as external fires. Conclusion Conducting HVA in combination with the actual situation of blood banks can effectively identify high-risk events and provide theoretical basis for improving emergency management measures.

NO2 is the common precursor of the secondary conversion of PM2.5 and O3. Understanding its change characteristics and influencing factors is of great significance for the collaborative treatment of PM2.5 and O3. Based on the VLF/LF three-dimensional lightning location monitoring system, SNPP/VIIRS satellite fire point data, NO2 column density in Sentinel-5P NRTI NO2 data products and other data, using various statistical methods, selecting February to April with high NO2 density and June to August with frequent lightning activities, this paper compares and analyses the influence of lightning activities on NO2 density in region A (96.5°-102°E, 20.5°-24°N) with high biomass burning in southwest Yunnan and its surrounding areas and region B (102°-104°E, 24°-26°N) with high human activities in central Yunnan. The results show that: (1) There are obvious differences in the spatial and temporal distribution of the number of lightning and NO2 column density in region A and region B. The NO2 column density outside area A is higher than that in China, but the distribution of lightning times is the opposite. The NO2 column density in region B decreases from Kunming to the surrounding area, and the number of lightning is less and more. In the dry season (November to April of the next year), the concentration of NO2 density is higher, and the rainy season (May to October) is lower, and the number of lightning is opposite. (2) From February to April, the NO2 column density in region A and region B has a significant positive spatial correlation with the number of fire points and anthropogenic CO2 emissions, respectively, but a significant negative correlation with the number of lightning. (3) Lightning activity is mostly accompanied by obvious rainfall (R≥1 mm). When the lightning activity is weak, the wet deposition effect of rainfall on the ground NO2 density is obvious, and the wet deposition effect of rain falling from the stronger lightning activity cannot completely offset the contribution of lightning to the increase of ground NO2 density. (4) The change of surface NO2 density during the first lightning from June to August is more regular than that from February to April, which shows that the ground NO2 density increases hourly in the first 6 hours and decreases slowly hourly in the last 3 hours. (5) The ground NO2 density on the lightning days in the two regions is generally higher than those on the days without lightning. Changes in biomass combustion intensity, rainfall intensity and planetary boundary layer height have a significant impact on the ground NO2 density.

Objective To investigate the current status and trends of chronic kidney disease (CKD) burden in China from 1990 to 2021, and to provide scientific evidence for the formulation of CKD prevention and control policies. Methods Data were sourced from the 2021 Global Burden of Disease Study. The burden of CKD and its subtypes in China was analyzed using incidence, mortality, and disability-adjusted life years (DALY) metrics. The estimated annual percentage change (EAPC) was used to assess the temporal trends. Results In 2021, the age-standardized incidence, mortality and DALY rates of CKD in China were 163.74 per 100,000, 10.84 per 100,000 and 315.33 per 100,000, respectively. From 1990 to 2021, age-standardized incidence rate of CKD showed an upward trend [EAPC=0.52%, 95%CI(0.44, 0.59)], while age-standardized mortality rate [EAPC=-0.90%, 95%CI(-0.98, -0.81)] and age-standardized DALY rate [EAPC=- 1.25%, 95%CI(-1.35, -1.16)] showed downward trends (EAPC