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Multi-view clustering algorithm based on graph learning has been widely concerned in recent years because of its simplicity and high efficiency. Most of multi-view clustering algorithms only consider the consistent part of each view and ignore the diversity between different views. Moreover, most of the methods learn the similarity map directly from the original data points, which cannot show the clear cluster structure and accurately extract the underlying information. To solve the above problems, a multi-view clustering algorithm via diversity induction and orthogonal non-negative graph reconstruction (DOMVC) is proposed. Firstly, the consistency and diversity of multiple views are fully utilized within a unified framework, and the consistent part is fused into the target graph with adaptive weights to produce a more reasonable clustering structure. Then, spectral clustering and non-negative matrix decomposition are integrated to obtain the cluster target graph with clearer structure. Finally, a factor matrix of non-negative matrix decomposition is constrained to an orthogonal indicator matrix, and the clustering results are obtained directly. The algorithm automatically assigns appropriate view weights according to the clustering ability of each view. In addition, to solve the optimization problem jointly, an alternate iteration strategy is used to optimize the objective function of the clustering algorithm. Experimental results show that the proposed algorithm can effectively improve the clustering accuracy. The accuracy on the HW2, 100leaves and Mfeat datasets reaches 99.21%, 89.56% and 87.85%, respectively, with an accuracy improvement of 0.81 percentage points, 5.12 percentage points and 3.75 percentage points compared with the suboptimal model. Theoretical analysis and experimental research demonstrate the effectiveness and excellent performance of the proposed algorithm.

Background Primary medical institutions, with the characteristics of comprehensive, continuous, coordinated, convenient and economical, play an important role in the diagnosis and treatment of common and frequently-occurring children's diseases, planned immunization and child health management, and lay a solid foundation for children's health services. It is essential to improve the quality of child health services for children under the management of family doctor contract. There are regional differences in the ability of children's health services at primary institutions in China. Therefore, accurate evaluation of the quality of children's health services at primary institutions is helpful to find problems in time and promote the development of children's health services at a higher level. Objective To assess the quality of community children's health services for contracted children, analyze the quality problems and optimization strategies, and provide international vision and decision-making reference for further improving the quality. Methods Taking a district of Chengdu as a typical case, three community health service centers with stronger child health service ability in the district were selected as the sample institutions, and the parents of children contracted by the sample institutions were surveyed with the online questionnaire on the quality of community child health service by using the Chinese version of primary care assessment tool (PCAT) . Results Totally, 3 631 parents of contracted children were investigated. The total PCAT score of community child health service quality in the sample centers was (58.72 ± 13.43). The dimensions with relatively high PCAT scores of community child health service quality includes "continuity" "community first consultation (service availability and service use) " and "comprehensive service (service provision) ", while the dimensions "children and family-Centered" "comprehensive (available services) " and "coordination (referral) " had low scores. Conclusion It is suggested to strengthen the supply of diagnosis and treatment services for common pediatric diseases in the community, unblock the referral mechanism of Pediatrics, strengthen the awareness of parents of contracted children to be included in the contracted service team to participate in diagnosis and treatment decisions, and pay attention to the health services for children with non local registered residence.

A middle-aged male came to Peking Union Medical College Hospital for treatment because of "pain for 10+ years, aggravated with emotional instability for 5 years". The patient's pain had a huge impact on life, with poor results even after repeated diagnosis and treatment in other hospitals. After multi-disciplinary discussion, it had been clarified that the pain was mainly caused by gout. The disease was heavily influenced by psychosocial factors. Therefore, the patient fits the diagnosis of "Psychological and Behavioral Factors Affecting Physical Diseases". The multi-disciplinary comprehensive management of the patient was carried out to identify and treat psychological factors affecting other medical conditions. After this mental treatment was performed, the patient's conditions significantly improved. The diagnosis and treatment of this patient demonstrates the importance of the multi-disciplinary treatment team for somatic symptoms (disorders).

To master the heat transfer performance of the condensers， a model based on convolutional neural network and bidirectional gated recurrent unit with attention mechanism （CNN-BiGRU-AT） is adopted to predict their heat transfer coefficients. Taking the condenser of a 1，000 MW unit in a power plant as the research subject， the condenser characteristics are first analyzed， and a theoretical model for calculating its heat transfer coefficients is constructed. Then， CNN is employed to extract the data features of factors influencing the heat transfer characteristics， while BiGRU is utilized to capture the long and short-term dependencies between the data. Finally， AT is used to highlight the important parts of the features， thereby constructing a prediction model for heat transfer coefficients based on CNN-BiGRU-AT. The analysis of the computational results indicates that compared to traditional theoretical calculations and BP （backpropagation） networks， as well as GRU networks， the computational results obtained using the CNN-BiGRU-AT model are more accurate and exhibit better regularity.

Heat, ultrasonic, microwave, and external energy are the essential conditions in the conventional preparation of nano-cupric oxide (CuO) from copper hydroxide (Cu(OH)2) precursor. In this work, CuSO4 aqueous solution (0.02 mol) was gradually added dropwise into the methanol/sodium hydroxide (NaOH/CH3OH) solution (0.04 mol) in 20 min at normal temperature and then constantly stirred the black solution for about 5 min; nano-CuO was synthesized. The as-prepared CuO had a high purity and a regular nanosize of 4–10 nm. What is more, the by-product sodium sulfate (Na2SO4) could be separated using a high-speed centrifuge, indicating that the methanol could be conveniently recycled; thereby, an environmentally friendly sustainable route of the preparation of nano-CuO was developed. In addition, the as-prepared nano-CuO was melt-compounded with polyamide 6 to produce fiber composites. The results showed that the nano-CuO was uniformly dispersed in PA6 fiber composites and presented an excellent antibacterial performance. Most importantly, the function of methanol in the dehydration process was revealed.

With the increasing burden of hypertension in Chinese adults, the detection rate of hypertension among children and adolescents continued to rise, drawing increasing attention to the impact of pubertal timing on blood pressure. In recent years, many scholars have evaluated the association between pubertal development and blood pressure at different stages using various methods of assessing pubertal timing. To understand the correlation between pubertal timing and blood pressure in adolescents, this study reviews the associations between pubertal timing and blood pressure and their underlying mechanisms. The relationship between earlier female pubertal development and the risk of hypertension in adulthood shows positive, negative, and U-shaped correlations, with varying results. Earlier female pubertal development may lead to a higher detection rate of hypertension during adolescence. Most of the studies focus on the correlation between pubertal timing and adult blood pressure, with less research on adolescent blood pressure, indicating a need for further research to reveal underlying patterns.

Residual stress runs through the whole life cycle of materials and components，including design， production， processing， manufacturing， service and failure， and is a key factor affecting the processing accuracy， dimensional stability and fatigue strength of materials and components. It is important to know how to accurately and non-destructively characterize residual stresses. Compared with the traditional laboratory X-ray diffraction method， synchrotron X-ray diffraction has significant advantages in brightness， collimation， time resolution， spatial resolution， penetration depth， etc. It is one of the most effective methods for non-destructive in-situ accurate characterization of residual stresses in engineering materials and key components. This paper focused on the research progress of synchrotron radiation X-ray diffraction technology in material residual stress， highlighting the analysis of residual stress in high temperature alloys during the additive manufacturing process， the effect of laser shot peening-technology on residual stress in titanium alloys， the evaluation of residual stress in welded aluminum alloys， the influence of heat treatment parameters on residual stress in structural steels， and the study of residual stress in ceramic coatings. Finally， the shortcomings of synchrotron X-ray diffraction technology in industrial applications are analyzed， and the future research and development directions are prospected， including the development of in-situ test environment and devices， and the combination of synchrotron radiation X-ray diffraction technology and other non-destructive testing methods.

Objective To evaluate the efficacy and adverse reactions of BRAF inhibitor vermorafenib on the treatment of refractory craniopharyngioma carrying BRAF-V600E mutation. Methods Clinical data of two patients with refractory craniopharyngiomas (CP) were recorded and reviewed. The patients were followed up for 3-5 years. Literature on CPs receiving BRAF or BRAF/MEK therapy was reviewed. Results 1)Papillary CP progressed after multiple operations and radiotherapy in two patients. Further treatments were very difficult. 2)The presence of BRAF-V600E mutation in the tumor was confirmed, and vermorafenib was administered for 6.5-7.5 months. Tumor volumes remarkably shrank by 95%-99%. No tumor relapse was observed during the follow-up of 3-5 years after discontinuation of vemurafenib. 3)The main adverse reaction was rash, which was dose dependent. 4)Literature review showed the volume shrank by 50%-100% in 33/34 tumors during BRAF or BRAF/MEK inhibitor therapy. Conclusions BRAF inhibitor vemurafenib is effective in treating refractory craniopharyngioma carrying BRAF-V600E mutation with endurable side effects, which may bring some changes to the management of CP in future.

This study proposes a refined methodology for controlling building heights in heritage areas. In order to protect the visual integrity of the heritage area, buildings should not obstruct the view from important site points and viewpoints to the periphery. By calculating the building height thresholds that buildings should not obscure the view from each viewpoint, the results of which are weighted and superimposed, and the values are extracted to each building unit as a refined building height control guideline. This study takes the Zhoukoudian area as a case study, applies the refined building height control criterion to the Zhoukoudian Site, and relies on this refined criterion to assess the visual integrity of the Zhoukoudian area, so as to realize the scientific planning and monitoring of the Zhoukoudian area. The refined building height control method can be applied to building height planning and visual landscape protection in large heritage areas.

【Objective】With the continuous advancements in satellite and communication technologies, the integration of space laser communication and ranging technology becomes more mature. As deep space exploration, satellite navigation, and other fields continue to develop, there is a growing demand for higher communication capacity and ranging accuracy between satellites. Thus, the need to achieve laser satellite high-speed communication while completing ranging and further improving ranging accuracy, under the premise of considering satellite payload and power consumption, has become an urgent issue.【Methods】This article designs and implements a coherent communication and ranging integrated system that supports both QPSK and BPSK, based on the principle of dual one way ranging. To further improve the ranging performance, the differential time sampling method is used to obtain the frequency difference and phase difference between the sending clock and the receiving clock through frequency and phase discrimination, thereby achieving higher clock accuracy and correcting the ranging value.【Results】The system can operate stably in an environment where the received optical power is greater than-48 dBm. Different rates can be set for different application requirements, with a maximum rate of 5 Gbit/s in QPSK mode and rates of 2.5 Gbit/s, 1.25 Gbit/s, and 625 Mbit/s in BPSK mode. The theoretical ranging accuracy of the system can reach a minimum of 53 ps. In normal communication, using Matlab and Vivado to calculate and process ranging data, the ranging accuracy of the system is verified to be less than 0.1 ns. Furthermore, using the differential time sampling method under simulation conditions, the ranging accuracy can be improved to the order of 10-3 of the symbol width, reaching±0.36 cm.【Conclusion】The proposed communication and ranging integrated system can achieve high-precision ranging while achieving high-speed communication, which is of practical significance for future applications of laser satellites.

The dynamic risk assessment of typhoon disasters is an important decision-making basis for disaster response in the event of a major typhoon. Its goal is to dynamically predict the expected loss and disaster risk level caused by a typhoon so as to provide a basis for disaster risk early warning and emergency response. The traditional risk assessment model mainly fits the vulnerability curves of the hazard-affected bodies using historical disaster losses, and then establishes a disaster risk assessment model by coupling the risk of disaster factors, exposure, and vulnerability. However, the vulnerability curves generated by this method have problems of regional applicability, particularly in small-scale regions with small sample sizes available for fitting, leading to insufficient generalizability of the model. In addition, such models are complex and require phased hazard and vulnerability of the hazard-affected bodies research. Moreover, when employing the 3-element coupling process, it is difficult to consider other risk factors in the disaster system, such as hazard-formative environment and disaster prevention and mitigation capability. With the development of information technology, the availability of disaster risk factor data has been significantly improved, affording conditions for the fusion and application of disaster risk multi-source data. In recent years, many data-driven machine-learning models have been used to establish disaster risk assessment models. These models have the advantage that they can use large sample to improve the adaptability of the model, whereby the modeling process can consider more risk factors, the concepts of hazard and vulnerability are diluted, and the steps of model building are simplified. The integrated learning algorithm can not only improve the prediction accuracy, but more importantly, can be used to effectively evaluate the contribution value of the index to the final evaluation result. At present, China has established a six-level disaster reporting system at the national, provincial, municipal, county, township, and village levels, forming a long-term, high-precision database of disaster event cases since 2009, providing rich disaster loss information for the data fusion of risk elements. This study was based on 108 typhoon cases affecting five provinces in southeast China during 2009-2022. Nearly 4,000 county-level typhoon disaster loss samples were used to establish a dynamic typhoon risk assessment sample database that integrates 30 types of multi-source risk factor indicators. Six typhoon disaster risk assessment models were developed using the random forest algorithm to evaluate the affected population, emergency relocation population, crop-affected areas, collapsed and severely damaged houses, direct economic losses, and comprehensive risk level. Through the verification of actual disaster situations and model results, the overall accuracy of the disaster risk assessment results was found to be greater than 80%, indicating that the model has good generalizability and can be used for actual disaster assessment work. The experimental comparison shows that increasing the training sample size by 1-2 orders of magnitude can improve the accuracy of the model assessment by 3%-14%, indicating that the accumulation of disaster risk big data is of great significance in the study of disaster risk assessment. This study is expected to constitute a scientific reference for the quantitative analysis of the multiple impact factors of typhoon disaster damage and explore technical ideas for the application of disaster big data in risk management.

Summary: Understanding the adaptability of the motor cortex in response to bilateral motor tasks is crucial for advancing our knowledge of neural plasticity and motor learning. Here we aim to investigate the dynamic lateralization of contralateral-projecting corticospinal neurons (cpCSNs) during such tasks. Utilizing in vivo two-photon calcium imaging, we observe cpCSNs in mice performing a “left-right” lever-press task. Our findings reveal heterogeneous populational dynamics in cpCSNs: a marked decrease in activity during ipsilateral motor learning, in contrast to maintained activity during contralateral motor learning. Notably, individual cpCSNs show dynamic shifts in engagement with ipsilateral and contralateral movements, displaying an evolving pattern of activation over successive days. It suggests that cpCSNs exhibit adaptive changes in activation patterns in response to ipsilateral and contralateral movements, highlighting a flexible reorganization during motor learning This reconfiguration underscores the dynamic nature of cortical lateralization in motor learning and offers insights for neuromotor rehabilitation.

The transmission of point cloud video streaming requires the scheduling of various computing and transmission resources. Existing research rarely considers the energy consumption issues caused by the computing tasks of terminal display devices. To solve this problem, a point cloud video streaming transmission scheme assisted by mobile edge computing (MEC) was proposed, which offloaded part of computing tasks to the MEC server based on the access bandwidth and point cloud video content. A joint optimization model was established in this scheme to maximize the quality of user’s viewing experience and minimize the energy consumption of terminal device under the constraints of network resources, terminal and edge computing resources. Experimental results show that the proposed scheme can improve the viewing quality of users and reduce the energy consumption of terminal equipment compared with the contrast scheme under different conditions.

We report a case of a young female patient with fatigue, hypokalemia, and hyperglycemia. She had past-history of diabetes mellitus, and was admitted to hospital with a history of fatigue and hypokalemia for 5 years. The patient's examination indicated hypokalemia, hypomagnesemia, metabolic alkalosis, hypocalciuria, and SLC12A3 gene pathogenic mutation. The diagnosis was Gitelman syndrome. Potassium and magnesium supplements were given to improve the patient's fatigue. Serum potassium and magnesium were normal. The blood glucose reached standard after treatment with oral hypoglycemic drugs. This article incorporates literature review to sort out the diagnosis and treatment of Gitelman syndrome, in order to provide feasible reference for clinicians.

BackgroundPrevious studies have found that patients with generalized anxiety disorder （GAD） have impaired performance in executive function， and group cognitive behavioral therapy （CBT） has been shown to be effective in alleviating negative affect in patients with GAD， while its efficacy on executive function remains unclear.ObjectiveTo explore the efficacy of group CBT on anxiety symptom and executive function in GAD patients， so as to provide references for the rehabilitation program for GAD.MethodsA total of 80 consecutive patients with GAD who were hospitalized in Sleep and Psychosomatic Medical Center of Shiyan Taihe Hospital from March 2021 to August 2022 and met the Diagnostic and Statistical Manual of Mental Disorders， fifth edition （DSM-5） diagnostic criteria for GAD were enrolled， and they were assigned into study group （n=40） and control group （n=40） using random number table methods. All patients were subjected to routine medication treatment and regular health education， based on this， study group received group CBT once a week （6 weeks， 60 to 90 minutes per session）. At the enrollment and after 6 weeks of treatment， patients were assessed using Hamilton Anxiety Scale （HAMA） and Frontal Assessment Battery （FAB）.ResultsANOVA with repeated measures on HAMA score revealed a significant time effect （F=1 870.320， P0.05）. Significant time effect， group effect and time×group interaction effect were reported on FAB scores （F=311.190， 4.399， 7.021， P

Swept-source optical coherence tomography angiography(SS-OCTA)is a new vascular imaging technique that was recently proposed. It has the advantages of being non-invasive, quick, high-resolution, and automated vascular stratification imaging. It is extremely helpful in the early diagnosis of ophthalmology-related diseases, as well as in the evaluation of treatment effectiveness and the tracking of disease progression. Based on the foundation of OCTA, SS-OCTA utilizes a fast-tuning laser with a wavelength of 1 050 nm for deeper penetration and non-invasive depth-resolved imaging of the retinal and choroidal microvascular systems, deepening the understanding of the characteristics of a wide range of ophthalmic diseases(fundus lesions, glaucoma, neurodegenerative diseases, etc.). The structures of the anterior segment of the eye can also be studied using SS-OCTA, including changes in the depth and density of corneal neovascularization as well as changes in iris neovascularization before and after therapy. This approach provides a novel tool for ophthalmic clinical practice. The development of the clinical use of SS-OCTA technology in ophthalmology is reviewed in this article.

Abstract Wavelength-selective thermal emitters (WS-TEs) have been frequently designed to achieve desired target emissivity spectra, as a typical emissivity engineering, for broad applications such as thermal camouflage, radiative cooling, and gas sensing, etc. However, previous designs require prior knowledge of materials or structures for different applications and the designed WS-TEs usually vary from applications to applications in terms of materials and structures, thus lacking of a general design framework for emissivity engineering across different applications. Moreover, previous designs fail to tackle the simultaneous design of both materials and structures, as they either fix materials to design structures or fix structures to select suitable materials. Herein, we employ the deep Q-learning network algorithm, a reinforcement learning method based on deep learning framework, to design multilayer WS-TEs. To demonstrate the general validity, three WS-TEs are designed for various applications, including thermal camouflage, radiative cooling and gas sensing, which are then fabricated and measured. The merits of the deep Q-learning algorithm include that it can (1) offer a general design framework for WS-TEs beyond one-dimensional multilayer structures; (2) autonomously select suitable materials from a self-built material library and (3) autonomously optimize structural parameters for the target emissivity spectra. The present framework is demonstrated to be feasible and efficient in designing WS-TEs across different applications, and the design parameters are highly scalable in materials, structures, dimensions, and the target functions, offering a general framework for emissivity engineering and paving the way for efficient design of nonlinear optimization problems beyond thermal metamaterials.

In order to realize effective laser communication on underwater mobile platforms, the active tracking and alignment technology of underwater laser communication (UWLC) is studied. Firstly, the servo control principle of the UWLC system is analyzed. Secondly, aiming at underwater disturbance, an adaptive fuzzy PID controller is designed to realize parameter self-tuning, thereby improving the system’s anti-disturbance ability. The designed algorithm was simulated, and the simulation results show that the adaptive fuzzy PID algorithm has better anti-disturbance ability and tracking performance than the traditional PID. Finally, an experimental platform was built for dynamic tracking experiments, and the results show that the dynamic tracking accuracy of the designed control algorithm was improved by 30.29% compared with the traditional control algorithm, which provides a certain reference for the development of laser communication on underwater moving platforms.

To ensure optimal energy conservation and economic benefits in the design of prefabricated high-efficiency refrigeration room, an optimization method to achieve the lowest life cycle cost by studying the layout of refrigeration room and unit matching method was proposed. The number of chiller units under the same cooling load, the placement of chiller units, the placement of cooling (freezing) pump, the chiller inlet and outlet location, the connection Angle between the inlet and outlet of the equipment and the branch pipe, and the corresponding relationship between the unit and the pump were taken as the influencing factors of the whole life cycle costs, and the cooling load 1100RT is taken as an example. The results show that at 1100RT, two chillers are used, the units are placed on the lateral side, the inlet and outlet of the unit's freezing end and cooling end are located at both ends of the fuselage, the unit and the pump correspond one by one, and the freezing and cooling pumps are located on both sides of the unit. The solution that the equipment is connected to the pipeline at 90° is the best one, and the corresponding relationship between the unit and the pump is the main factor affecting the whole life cycle costs. The second is the connection Angle between the inlet and outlet of the equipment and the branch pipe. Although the 60° connection can improve the hydraulic condition, it increases the room area and initial investment costs by 35% compared with the 90° connection mode.

Abstract Aims Molecular hydrogen has been exhibited a protective function in heart diseases. Our previous study demonstrated that hydrogen‐rich saline (HRS) could scavenge free radicals selectively and alleviate the inflammatory response in the myocardial ischaemia/reperfusion (I/R) injury, but the underlying mechanism has not been fully clarified. Methods and results Adult (10 weeks) C57BL/6 male mice and neonatal rat cardiomyocytes were used to establish I/R and hypoxia/reoxygenation (H/R) injury models. I/R and H/R models were treated with HRS to classify the mechanisms of cardioproctective function. In this study, we found that miR‐124‐3p was significantly decreased in both I/R and H/R models, while it was partially ameliorated by HRS pretreatment. HRS treatment also alleviated ischaemia‐induced apoptotic cell death and increased cell viability during I/R process, whereas silencing expression of miR‐124‐3p abolished this protective effect. In addition, we identified calpain1 as a direct target of miR‐124‐3p, and up‐regulation of miR‐124‐3 produced both activity and expression of calpain1. It was also found that compared with the HRS group, overexpression of calpain1 increased caspase‐3 activities, promoted cleaved‐caspase3 and Bax protein expressions, and correspondingly decreased Bcl‐2, further reducing cell viability. These results illustrated that calpain1 overexpression attenuated protective effect of HRS on cardiomyocytes in H/R model. Conclusions The present study showed a protective effect of HRS on I/R injury, which may be associated with miR‐124‐3p–calpain1 signalling pathway.

To further explore the pathogenic mechanism of lumbar disc herniation (LDH) pain, this study screens important imaging features that are significantly correlated with the pain score of LDH. The features with significant correlation imaging were included into a back propagation (BP) neural network model for training, including Pfirrmann classification, Michigan State University (MSU) regional localization (MSU protrusion size classification and MSU protrusion location classification), sagittal diameter index, sagittal diameter/transverse diameter index, transverse diameter index, and AN angle (angle between nerve root and protrusion). The BP neural network training model results showed that the specificity was 95 ± 2%, sensitivity was 91 ± 2%, and accuracy was 91 ± 2% of the model. The results show that the degree of intraspinal occupation of the intervertebral disc herniation and the degree of intervertebral disc degeneration are related to LDH pain. The innovation of this study is that the BP neural network model constructed in this study shows good performance in the accuracy experiment and receiver operating characteristic experiment, which completes the prediction task of lumbar Magnetic Resonance Imaging features for the pain degree of LDH for the first time, and provides a basis for subsequent clinical diagnosis.

Influenced by the clearance flow between stator and rotor, the operational performance and hydraulic performance of full cross-flow pump units are often worse than that of semi-cross-flow pumps. In order to explore the influence mechanism of clearance structural parameters on clearance flow and provide a reliable scientific support for the improvement of both external and internal characteristics of full cross-flow pump units, firstly, the optimization of the stator–rotor clearance structure was studied as research entry point and the radial inlet and outlet clearance width were taken to set up design variables. Secondly, to establish a comprehensive optimization objective function considering both the operational performance and the hydraulic performance of the pump, the information weight method was adopted by weighting four evaluation indexes, namely, head coefficient, efficiency coefficient, vortex average radial deflection coefficient and axial velocity uniformity coefficient, which were calculated by numerical simulation. Finally, the relevant optimization design analysis was carried out by establishing the response surface model, with the optimal objective value obtained by conducting the steepest-descent method. The results show that the response of the radial inlet and outlet clearance width coefficient between stator and rotor to the comprehensive objective function is not directly coupled and the influence of the radial inlet clearance width coefficient on the objective function is higher than that of the radial outlet clearance width coefficient. The parameter optimization outcomes are as follows: the width coefficient of radial inlet clearance between stator and rotor is 2.2 and that of radial outlet clearance is 3.6, in which case the disturbance effect of clearance flow on the mainstream flow pattern in the pump can be significantly reduced, with the export cyclic quantity of the guide vane obviously decreased and the outlet flow pattern of the pump unit greatly improved. Verified by the model test, the average lift of the pump unit was increased by about 7.6% and the maximum promotion of the unit efficiency reached 5.2%.

Multi-infeed AC-DC hybrid system is the notable form of China’s power grid upgraded because of the distribution of the generation and load. Multiple high-capacity high voltage direct current transmission lines enhance the transmission capacity, while the problem of small signal stability will emerge new features. As the complexity of the power grid increases, the small signal stability problem faced by multi-feed AC-DC power systems becomes more severe, and a specific theoretical analysis is urgently needed. The article introduced the typical structures and characteristics of multi-feed AC-DC hybrid systems. The system dynamic interaction mechanisms and the stability problems under the small signal stability caused by AC-DC system interaction were reviewed. The research methods and their achievements in this field were summarized. The future developing trend of multi-feed AC-DC hybrid system and the challenges were discussed to provide references for related research work at last.

Objective To explore the mechanism of FGFR3⁃TACC3 (F3⁃T3) fusion gene mediating DNA damage repair through promoting pyruvate kinase M2 (PKM2)'s nuclear translocation in glioblastoma. Methods The lentiviral transfection technology was used to constructed stable transitional cell lines U87MG cells and U251MG cells that stably expressing F3 ⁃ T3 and empty vector. In vivo glioblastoma model was constructed by intracranial in situ tumor implantation in athymic mice, and the tumorigenic ability of F3⁃T3 transfected cells in athymic mice of each treatment group was observed by small⁃animal in vivo imaging system. Bioinformatics analysis was performed to analyze gene microarray data exploring the possible biological functions of F3 ⁃ T3 mediating chemoresistance and identify the relationship between survival expectations and PKM2 expression levels in glioblastoma patients from The Cancer Genome Atlas (TCGA) database. Transient transfection of small interference RNA (siRNA) was used to knock down the expression of PKM2 in the F3 ⁃ T3 transfected cells. Proliferative activity of U87MG and U251MG cells treated with different concentrations of temozolomide (TMZ), transfected with siRNA, and TMZ in combination with Compound 3k, a PKM2 inhibitor, was observed in CCK ⁃ 8 cell proliferation assays. Nuclear and cytoplasmic proteins were extracted separately and PKM2 protein expression was observed in whole cell extract, cytoplasmic extract and cytosolic extract after TMZ treatment. Relative expression of PKM2, relative expression of cytosolic phosphorylated histone H2AX (p⁃H2AX) and relative expression of siRNA knockdown PKM2 gene in U87MG and U251MG cells stably expressing the F3 ⁃ T3 fusion gene, detected by Western blotting. Results 1) CCK⁃8 cell proliferation assay showed that the survival rate of U87MG cells in the F3 ⁃ T3 transfected group was higher than that in the empty vector transfected group after treatment with TMZ 640, 320, 160, 80, 40 μmol/L (P = 0.000, 0.000, 0.000, 0.000, 0.004, 0.010), and the survival rate of U251MG cells in the F3 ⁃ T3 transfected group was also higher than that in the empty vector transfected group after TMZ 640, 320, 160, 80, 40, 20, 5 μmol/L (P = 0.000, 0.000, 0.000, 0.002, 0.001, 0.002); the survial rate of U87MG cells in the si⁃PKM2⁃1009 transfected group was lower than that of F3 ⁃ T3 transfected group after TMZ 640, 320, 160, 80, 40, 20, 10, 5, 2.50 μmol/L, the survival rate of U251MG cells in the si⁃PKM2⁃1377 transfected group was also lower than that in F3⁃T3 transfected group after TMZ 640, 320, 160, 80, 40, 20, 5 μmol/L (P = 0.000, 0.000, 0.002, 0.000, 0.002, 0.048, 0.042); and the survival rate of U87MG cells in TMZ + Compound 3k group was lower than TMZ group after TMZ 640, 320, 160, 80, 40, 20 μmol/L (P = 0.000, 0.000, 0.000, 0.000, 0.001, 0.002), and the survival rate of U251MG cells in TMZ + Compound 3k group after treatment with high concentrations of TMZ (640, 320, 160, 80 and 40 μmol/L) was also lower than TMZ group (P = 0.000, 0.000, 0.000, 0.000, 0.003), while the survival rate of U251MG cells in TMZ + Compound 3k group after treatment with low concentrations of TMZ (10, 5 and 2.50 μmol/L) was higher than that of TMZ group (P = 0.000, 0.000, 0.006). 2) An animal model of glioblastoma showed the presence of TMZ resistance in homozygous mice. 3) Bioinformatic analysis showed that the biological function of F3⁃T3 was significantly enriched in the DNA repair pathway (P = 0.000). Survival and overall survival of glioblastoma patients in the TCGA database were lower in the PKM2 high expression group than in the low expression group (P < 0.05). 4) Western blotting showed that the relative expression of p⁃H2AX in U87MG (P = 0.000, 0.000, 0.004) and U251MG (P = 0.000, 0.007, 0.005) cells in the F3 ⁃ T3 transfected group were lower than those in the empty vector transfected group after TMZ treatment for 48 h and then medium change for 24, 36 and 48 h. PKM2 protein incorporation into the nucleus was observed in both U87MG and U251MG cells in the F3⁃T3 transfected group after TMZ treatment, whereas it was not observed in cells in the empty vector transfected group; si⁃PKM2⁃1009 and si⁃ PKM2⁃1377 knocked down the relative expression of p⁃H2AX in U87MG (P = 0.000, 0.001, 0.006) and U251MG (P = 0.000, 0.000, 0.000) cells, respectively. Conclusions In the presence of TMZ, F3 ⁃ T3 promotes PKM2's nuclear translocation and activates DNA damage repair pathways, which in the eventually results resistance of glioblastoma cell to TMZ. PKM2 inhibitors can compromise the resistance glioblastoma cells stably expressing F3⁃T3 fusion gene to TMZ.

Abstract Multispectral camouflage technologies, especially in the most frequently-used visible and infrared (VIS-IR) bands, are in increasing demand for the ever-growing multispectral detection technologies. Nevertheless, the efficient design of proper materials and structures for VIS-IR camouflage is still challenging because of the stringent requirement for selective spectra in a large VIS-IR wavelength range and the increasing demand for flexible color and infrared signal adaptivity. Here, a material-informatics-based inverse design framework is proposed to efficiently design multilayer germanium (Ge) and zinc sulfide (ZnS) metamaterials by evaluating only ~1% of the total candidates. The designed metamaterials exhibit excellent color matching and infrared camouflage performance from different observation angles and temperatures through both simulations and infrared experiments. The present material informatics inverse design framework is highly efficient and can be applied to other multi-objective optimization problems beyond multispectral camouflage.

Twisting is an important part in the production process of large package E-glass yarn. To derive the twisting process parameters of large package E-glass yarn, a method from the physical properties of bobbin yarn is proposed based on the study of the twisting principle of E-glass yarn. After unwinding the bobbin yarn and measuring its twist, loop pitch, and corresponding diameter, the calculation is completed according to the steps of first determining the descending speed of the traveler, then fitting the spindle speed data, and finally calculating the elevating speed of the traveler. The result is that the twisting spindle speed of D450 E-glass yarn with 31.8 T/m decreases from 5,015 to 4,550 rpm, the elevating speed of the traveler is 0.91 m/min, and the descending speed of the traveler is 1.50 m/min. The accuracy of the calculation is verified by monitoring the rotating speed of the roving cake and measuring the loop pitch of bobbin yarn in the twisting experiment. The result shows that the prediction error of this method is less than 1.1%, which can effectively derive the twisting process parameters of large package E-glass yarn, and provide a reference for the twisting process design scheme of glass fiber strand manufacturers.

Due to the complex working conditions of high noise, low illumination, and blurred movement in coal mines underground, as well as the phenomenon of coal gangue easily gathering, it is difficult to extract features from coal gangue object detection models. The classification and positioning of coal gangue are inaccurate. In order to solve the above problems, a coal gangue recognition method based on the CED-YOLOv5s model is proposed. Firstly, the coordinate attention (CA) mechanism is introduced into the YOLOv5s backbone network, which encodes feature maps by embedding coordinate information into channel relationships and long-range dependencies. The method fully utilizes channel attention information and spatial attention information to make the model focus more on important features and suppress irrelevant information. Secondly, the EIoU regression loss function is introduced in the detection head of YOLOv5s to minimize the width and height difference between the object box and anchor box. It enhances the position and boundary information of the object, improves the positioning precision and convergence speed of the model in dense objects. Finally, a lightweight decoupling head is introduced in the detection head of YOLOv5s, decoupling separate feature channels for classification and regression tasks. It solves the interference problem between the coupling head part of the class task and the regression task in the original model, further improving the parallel operation efficiency and detection precision of the model. The experimental results show that the CED-YOLOv5s model has the best overall performance compared to other YOLO series object detection models. It has an average detection precision of 94.8%, an improvement of 3.1% compared to the YOLOv5s model, and a detection speed of 84.8 frames/s. The results can fully meet the real-time detection requirements of coal gangue in coal mines.

Aiming at the management problems of students in colleges and universities, this paper analyzes the influencing factors of counselors’ management ability based on the construction of structural equation model. The survey sample and questionnaire are selected according to the research objectives. To ensure the authenticity and validity of the research results, we test the reliability and validity of the questionnaire data, considering their usability. Research hypotheses are put forward according to the actual situation of college counselors’ management ability. At the same time, latent and measurable variables are set, followed by completing the construction of the structural equation model based on counselors’ management ability. Based on the acquired questionnaire data, the partial least squares method was used to conduct a case study on counselors’ management ability. The results show 26 standardized factor loadings >0.705 on the 50 observations of the hidden variables. The compound correlation coefficient R2

In this paper, the fuzzy data are firstly condensed using principal component analysis, and the main component information is extracted using the covariance formula while retaining the original data. Then, clustering is applied to classify the indicators and detect the correlation between the data. Finally, the internal relationships in the original data are studied by factor analysis, and the accumulated and analyzed data are processed by dimensionality reduction to extract the main features and observe the main factors affecting the characteristic variables. The results show that the folk beliefs of the Macau people have gradually tended to localize from Westernization due to the influence of traditional Chinese ideology and culture. Among them, belief in Buddhism occupies 51.9%, while Catholicism and Christianity are only 6.7% and 2.3%, respectively.

In recent years, computer vision has witnessed remarkable advancements in image classification, specifically in the domains of fully convolutional neural networks (FCNs) and self-attention mechanisms. Nevertheless, both approaches exhibit certain limitations. FCNs tend to prioritize local information, potentially overlooking crucial global contexts, whereas self-attention mechanisms are computationally intensive despite their adaptability. In order to surmount these challenges, this paper proposes cross-and-diagonal networks (CDNet), innovative network architecture that adeptly captures global information in images while preserving local details in a more computationally efficient manner. CDNet achieves this by establishing long-range relationships between pixels within an image, enabling the indirect acquisition of contextual information. This inventive indirect self-attention mechanism significantly enhances the network’s capacity. In CDNet, a new attention mechanism named “cross and diagonal attention” is proposed. This mechanism adopts an indirect approach by integrating two distinct components, cross attention and diagonal attention. By computing attention in different directions, specifically vertical and diagonal, CDNet effectively establishes remote dependencies among pixels, resulting in improved performance in image classification tasks. Experimental results highlight several advantages of CDNet. Firstly, it introduces an indirect self-attention mechanism that can be effortlessly integrated as a module into any convolutional neural network (CNN). Additionally, the computational cost of the self-attention mechanism has been effectively reduced, resulting in improved overall computational efficiency. Lastly, CDNet attains state-of-the-art performance on three benchmark datasets for similar types of image classification networks. In essence, CDNet addresses the constraints of conventional approaches and provides an efficient and effective solution for capturing global context in image classification tasks.

The risk assessment of dietary exposure to pesticide residues is a great concern in the fields of chemical risk management, food safety and human health. Effective quantitative risk assessment models are basic tools for assessing dietary exposure to pesticide residues. Based on a review of recent progress in the risk assessment of dietary exposure to pesticide residues, this paper summarizes the risk assessment models for dietary exposure to pesticide residues, including the deterministic assessment models, the probabilistic assessment models and the cumulative assessment models. The advantages and disadvantages of these models are compared in terms of their evolution, the situations to which they apply and the assessment demand, and the key factors such as model uncertainty, assessment software and database application are discussed. Based on the current status of the dietary risk assessment of pesticide residues in China, we highlight the urgency and importance of integrating model parameters, which will provide a scientific basis for improving the construction of risk assessment systems for dietary exposure to pesticide residues.

More clinical evidence is needed regarding the relative priority of treatments for brain metastases (BMs) from EGFR/ALK-negative/unselected non-small cell lung cancer (NSCLC). PubMed, EMBASE, Web of Science, Cochrane Library, and ClinicalTrials.gov databases were searched. Overall survival (OS), central nervous system progression-free survival (CNS-PFS), and objective response rate (ORR) were selected for Bayesian network meta-analyses. We included 25 eligible randomized control trials (RCTs) involving 3,054 patients, investigating nine kinds of treatments for newly diagnosed BMs and seven kinds of treatments for previously treated BMs. For newly diagnosed BMs, adding chemotherapy, EGFR-TKIs, and other innovative systemic agents (temozolomide, nitroglycerin, endostar, enzastaurin, and veliparib) to radiotherapy did not significantly prolong OS than radiotherapy alone; whereas radiotherapy + nitroglycerin showed significantly better CNS-PFS and ORR. Surgery could significantly prolong OS (hazard ratios [HR]: 0.52, 95% credible intervals: 0.41–0.67) and CNS-PFS (HR: 0.32, 95% confidence interval: 0.18–0.59) compared with radiotherapy alone. For previously treated BMs, pembrolizumab + chemotherapy, nivolumab + ipilimumab, and cemiplimab significantly prolonged OS than chemotherapy alone. Pembrolizumab + chemotherapy also showed better CNS-PFS and ORR than chemotherapy. In summary, immune checkpoint inhibitor (ICI)-based therapies, especially ICI-combined therapies, showed promising efficacies for previously treated BMs from EGFR/ALK-negative/unselected NSCLC. The value of surgery should also be emphasized. The result should be further confirmed by RCTs.

High-fill culverts placed in valley topography have a complex earth pressure distribution law due to their locations around culverts in various valley topography conditions. In order to investigate the influence of valley topography on the earth pressure around the culvert of high-fill arch culverts, an interaction model of "topography-culvert-fill" was established by using centrifugal model test and numerical simulation method. Additionally, the distribution laws of earth pressure around the arch culverts and earth pressure concentration coefficient Ks at the top of the culvert under different valley widths B and valley slopes α were analyzed and were compared with the latest Chinese culvert design code. Furthermore, the mechanism of earth pressure formation of high-fill arch culverts under valley topography was presented. The research findings are as follows: (1) The influence of the valley width B on the earth pressure concentration coefficient Ks at the top of the culvert is significant, and the increment of the earth pressure concentration coefficient Ks at the top of the culvert is larger when B is 4D−6D（D is the clear span of arch culvert）. (2) When B is less than 4D, the topography would play the role of load reduction to the culvert. (3) With valley slopes ranging from 45° to 60°, the earth pressure at the tops and Ks would be affected dramatically. (4) When fill height is 20 m with α >70°, Ks≤1; and when 40 m fill height with α >50°, Ks≤1. (5) The Ks recommended by the latest Chinese culvert design code differs to some extent from those by centrifugal model test and numerical simulation. In the case of α =45° with a small B value, the earth pressure concentration coefficient Ks at the top of a culvert of the code is more conservative. (6) Ks of high-fill arch culvert in valley is related to the formation of arch top compaction area and isobaric surface. The arch top compaction area can cause the earth pressure concentration on the top of the arch culvert, and cause the vertical earth pressure of the soil around the compaction area to be arched. At a certain depth approaching the surface of the fill, the arch distribution gradually transits to the horizontal distribution, thus forming an isobaric surface. The upper load of the isobaric surface will be dispersed on the valley slope, so the unloading effect of the valley topography can be exerted.

For the problem that how the grouting reinforcement of a single penetrated structural plane affects the bearing capacity of surrounding rock, an approach of rock samples preparation with single penetrated fracture surface is proposed firstly, and the rock samples are injected with ultrafine cement and epoxy resin, respectively. Then, the strength and deformation characteristics of the consolidated body under uniaxial (triaxial) compression are investigated with the RMT-150C experimental system. Finally, the micro consolidation mechanism of structural plane grouting is revealed using theoretical analysis and electron microscope scanning. It is found that the fracture surface generated under the triaxial loading-unloading condition is closer to the engineering practice and meets the experimental requirements. The stress−strain characteristic curves of the specimens injected with ultrafine cement show phased deformation characteristics, and the curves of the specimens injected with epoxy resin are relatively smooth. For the strength characteristics, the influence of confining pressure is significantly larger than that of grouting material selection. Grouting reinforcement can improve the residual strength of rock mass. With the increase of confining pressure, the increase of improvement coefficient of residual strength is less obvious, and the peak strength of the consolidated body is closer to that of intact rock. For the failure characteristics, the main fracture surface of the specimen injected with ultrafine cement shears and slips along the original fracture surface, and the main fracture surface of the specimen injected with epoxy resin is a new penetrated fracture surface. Finally, based on the Mohr-Coulomb criterion, the relationship between the bonding force of grouting materials and the strength improvement coefficient of structural plane is established. It is found that the strength improvement coefficient of structural plane has a linear relationship with the bonding force of grout. The comparison between the calculation and test results shows that the formula is reasonable and can provide a reference for the optimization of deep surrounding rock support.

In this article, we prepared novel basalt fiber (BF)-reinforced polypropylene (PP) composites based on the synergistic reinforcement of cellulose nanocrystals (CNCs). First, we compared the enhancement effect of CNCs and silane coupling agent-modified BFs on PP, showing that the enhancement effect of the former was more significant. Subsequently, to further improve the mechanical properties of the composites, CNCs were introduced into the BF-reinforced PP composite system as the third phase, and the results suggested that their combination with BFs could synergistically strengthen the PP matrix composites. Simultaneously, the study also shows that when the mass percentage of CNCs and BFs are 1 and 30%, respectively, the composite achieves the highest mechanical strength, which is 64.31% higher than that of the PP matrix. The systematic characterization revealed the synergistic enhancement mechanism: on the one hand, CNCs not only promoted the improvement of PP crystallinity by heterogeneous nucleation but also formed a wedge-shaped structure between them and BFs through hydrogen bonding to prevent PP molecular movement; on the other hand, the BFs promote not only the extrusion crystallization of the resin matrix but also the network structure formed by the appropriate content of BFs can realize the rapid transmission of external stress.

The uniformity of the monofilament diameter plays a key role in the performance of continuous filament yarns and their subsequent products. However, traditional methods for measuring fiber or filament diameters focus on estimating the arithmetic mean data, and only part of the diameter data can be obtained. Additionally, most of these traditional methods require complex sample preparations, such as by making cross-sectional slice samples. This study intends to present a simple method for measuring almost all of the monofilament diameters in a single yarn. It is not necessary to make slice samples. After the yarn sample or fabric sample is taken and prepared, synthetic laser images can be obtained directly by scanning the cross section of the sample with a 3D laser scanning confocal microscope. According to the results of many experiments, more than 90% of the monofilament diameters of a single yarn can be measured. The result also shows that the difference in the diameter data between the traditional method and the synthetic laser imaging method is less than 2%. This method presents the differences between the majority of monofilament diameters, and the yarn clustering property can be evaluated by the sum of the monofilament diameters and the yarn cross-sectional area.

BackgroundCardiogenic shock (CS) is increasingly recognized as heterogeneous in its severity and response to therapies. This study aimed to identify CS phenotypes and their responses to the use of vasopressors.MethodThe current study included patients with CS complicating acute myocardial infarction (AMI) at the time of admission from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. Laboratory and clinical variables were collected and used to conduct latent profile (LPA) analysis. Furthermore, we used a multivariable logistic regression (LR) model to explore the independent association between the use of vasopressors and endpoints.ResultA total of 630 eligible patients with CS after AMI were enrolled in the study. The LPA identified three profiles of CS: profile 1 (n = 259, 37.5%) was considered as the baseline group; profile 2 (n = 261, 37.8%) was characterized by advanced age, more comorbidities, and worse renal function; and profile 3 (n = 170, 24.6%) was characterized by systemic inflammatory response syndrome (SIRS)-related indexes and acid–base balance disturbance. Profile 3 showed the highest all-cause in-hospital mortality rate (45.9%), followed by profile 2 (43.3%), and profile 1 (16.6%). The LR analyses showed that the phenotype of CS was an independent prognostic factor for outcomes, and profiles 2 and 3 were significantly associated with a higher risk of in-hospital mortality (profile 2: odds ratio [OR] 3.95, 95% confidence interval [CI] 2.61–5.97, p

Macau has played a pivotal role in the eastward spread of Western medicine and its health governance experience, particularly in the construction of its healthcare system, has led and represented the modern transformation of urban health governance in early China to some extent. This study, from an urban history perspective, analyzes the process and experience of constructing Macau’s healthcare system. It summarizes the current developmental status of Macau’s healthcare system, examines its main features and construction effectiveness, and suggests strategies for improvement. These include increasing the allocation of specialized medical resources, enhancing the cultivation of talents in the broader health sector, and promoting collaborative healthcare and disease prevention in the Guangdong-Hong Kong-Macau Greater Bay Area. Finally, the study highlights the insights gained from Macau’s public-private partnership model and the comprehensive coverage of its primary healthcare services, offering new ideas for health governance in the Greater Bay Area and beyond.

Under the background of increasingly serious energy crisis, promoting the development of building energy conservation can effectively alleviate the problem of an energy shortage, ensure stable economic development, and energy-saving design has gradually become a major component of building design. In this study, the numerical simulation method was used to take a building with typical features in Hefei as the research object, and the Ecotect energy analysis software was used to systematically analyze the influence of different orientations on the annual building energy consumption. The study found that the impact of building orientation on energy consumption showed a significant linear relationship. As the outdoor temperature increased, the cooling load gradually increased, and the heating load gradually decreased. Among them, the total energy consumption load was the smallest when the building orientation was southwest 15°, and the total energy consumption load was the largest when the building orientation was east-facing. The research results provide a reference for the energy-saving design of buildings in different orientations in the Hefei region.

Summary: Recent studies have highlighted the importance of understanding the architecture and function of microvasculature, and dysfunction of these microvessels may underlie neurodegenerative disease. Here, we utilize a high-precision ultrafast laser-induced photothrombosis (PLP) method to occlude single capillaries and then quantitatively study the effects on vasodynamics and surrounding neurons. Analysis of the microvascular architecture and hemodynamics after single-capillary occlusion reveals distinct changes upstream vs. downstream branches, which shows rapid regional flow redistribution and local downstream blood-brain barrier (BBB) leakage. Focal ischemia via capillary occlusions surrounding labeled target neurons induces dramatic and rapid lamina-specific changes in neuronal dendritic architecture. Further, we find that micro-occlusion at two different depths within the same vascular arbor results in distinct effects on flow profiles in layers 2/3 vs layer 4. The current results reveal laminar-scale regulation distinctions in microinfarct response and raise the possibility that relatively greater impacts on microvascular function contribute to cognitive decline in neurodegenerative disease.

NKX2.5 is a transcription factor that plays a key role in cardiovascular growth and development. Several independent studies have been previously conducted to investigate the association between the single-nucleotide polymorphism (SNP) 606G >C (rs3729753) in the coding region of NKX2.5 and congenital heart disease (CHD). However, the results of these studies have been inconsistent. Therefore, the present study aimed to reveal the relationship between NKX2.5 SNP 606G >C and the risk of CHD as possible in the Chinese population through meta-analysis. After retrieving related articles in PubMed, MEDLINE, EMBASE, Web of science, Cochrane, China National Knowledge Infrastructure, Wanfang DATA, and VIP database until August 2021, a total of eight studies were included in the present meta-analysis. The qualified research data were then merged into allele, dominant, recessive, heterozygous, homozygous, and additive models. Overall results of the current meta-analysis showed that 606G >C was not associated with CHD of the Chinese population in any model. In addition, subgroup analysis based on CHD type gave the same negative result. Results of sensitivity analysis showed that there was no significant correlation after the deletion of each study. Furthermore, it was noted that the results were negative and the heterogeneity was not significant. In conclusion, it was evident that NKX2-5 SNP 606G >C may not lead to the risk of CHD in Chinese population.

With the growing demand for sustainability and rapid development of nanotechnology, nanocellulose materials extracted from natural plants have attracted great attention. The incorporation of nanocellulose materials leads to a change in viscosity and yield stress on ultra-high performance concrete (UHPC). Rheological parameters affect the mechanical strength and steel fiber distribution of UHPC significantly. Therefore, it is essential to adjust the matrix rheology within an appropriate range through nanocellulose materials. This study aims to propose a novel method to optimize steel fiber distribution and mechanical properties of UHPC by adjusting the matrix rheology with cellulose nanofibers (CNFs) suspensions. The relationship among CNF concentration, steel fiber distribution, and the mechanical properties of UHPC was established. Test results showed that the failure mode of UHPC containing CNFs changed from single cracking to multiple cracking, accompanied by 11–23% enhancement in tensile strength. With the increase of CNF concentrations, the probability density distribution functions of steel fiber orientation showed the trend toward the distribution with a larger inclination. The addition of CNF suspensions effectively reduced the number of steel fibers settling to the bottom of the specimens. Scanning electron microscopy analyses demonstrated that the nanoscale reinforcement by CNFs was conducive to improving the mechanical properties of UHPC.

Regional geological mapping at 1:50, 000 scale was carried out in the Urho area of the Hala'alate Mountains in west Junggar, Xinjiang. Based on field investigation and referring to the regional geological survey and previous research results in recent years, we made a detailed remote sensing interpretation and analysis on the stratigraphic units, small and medium-sized geological bodies (dikes, small rock bodies, craters) and geological structures of the Hala'alate Mountains, and conducted detailed remote sensing field survey verifications. Following findings are revealed by the study results. In the process of making remote sensing image base map, the color space HSV transform fusion method is used to fuse SPOT5 high-precision remote sensing image data and ETM image data, and the fused image maintains the consistency of spectral information; SPOT5 1~4 of PC (principal component) 1, 2 and 3, ETM 1~7 of PC1, 2 and 3, ETM 1~7 of PC 6, 5, and 4 are processed into pseudo color synthetic images, respectively. After principal component transformation, the false color composite image concentrate on the multispectral information useful for regional geological survey and eliminate noise information. It improves the information content and interpretation complexity of remote sensing image base map. The combination of various detailed geological data collected in the field with Quickbird high-precision remote sensing images can accurately and quickly delineate the geological boundary, significantly improving the accuracy of structural and geological body boundary delineation. The results of comprehensive remote sensing interpretation of multi-source remote sensing data well guide the field geological survey work in the Urho area of the Hala'alate mountains in west Junggar, Xinjiang, and high-resolution remote sensing images play a key role in the accurate interpretation of small and medium-sized geological bodies in the geological survey of the region.

Myxoma constitutes the main subtype of all benign cardiac tumors, tending to be more common in women and occurring mostly in the left and right atria. Its classic clinical presentations are intracardiac obstruction, embolization, and systemic or constitutional symptoms, such as fever, in decreasing order. Several imaging techniques such as echocardiography, computed tomography, and angiocardiography contribute to the diagnosis of myxoma, ruling out significant coronary diseases, and assessment of myocardial invasion and tumor involvement of adjacent structures. Surgical resection is the only effective therapeutic option for patients with cardiac myxoma. Here, we report a unique case of a middle-aged man who presented with a giant myxoma and a 3-day history of chest tightness and shortness of breath after physical activity. Subsequently, transthoracic echocardiography revealed a mass of solid echodensity located within the right ventricle, complicated by abnormal hemodynamics. A cardiac computed tomographic angiography showed a large homogeneous density filling defect consuming most parts of the right ventricle and protruding from beat to beat. A surgical resection and histological study later successfully confirmed the diagnosis, and the patient's postoperative recovery course was found to be uneventful.

Digital elevation model (DEM) is used to realize the digital simulation of terrain surface (i.e. the digital representation of terrain surface shape) through the limited terrain elevation data. As a new tool to describe the terrain, it provides a new field of vision for people to study the evolution process of the earth's surface. The application status of DEM in many fields are summerized in this paper, including basic topographic factors, watershed geomorphological features, reconstruction of paleogeomorphology, tectonic geomorphological development model, tectonic activity classification, geomorphological classification and environmental assessment, geomorphological parameter algorithms and computing platform development. Our research generally focuses on land, with river geomorphology and mountain geomorphology as the main objects. The research process changes from the early qualitative description of geomorphology to the semi-quantitative and quantitative analysis of a variety of geomorphological parameters. The research scale extends from a small watershed to the whole orogenic belt in space and from a few hours to millions of years in time. However, many factors can influence the accuracy of quantitative analysis results of tectonic geomorphology, such as the uncertainty of the time series of tectonic geomorphology evolution, the complexity of the acquisition of geomorphological parameters, the diversification of terrain model algorithms and the error factors in the process of DEM generation. Therefore, while summarizing the previous research results, some thoughts are given on the application of DEM in tectonic geomorphology.

In this paper, the performance of silicon carbide (SiC) light-triggered thyristor (LTT) with a p-type NiO emitter region is analyzed through numerical simulation. The conductivity modulation in SiC LTT is significantly enhanced with the help of high injection efficiency of holes in NiO/SiC heterojunction. The injected hole density at the surface of the p− long base is increased by ∼21.2 times and the corresponding specific on-state resistance (Ron,sp) is only 36.7 mΩ cm2, which is reduced by about 29%. Moreover, hole-injection enhancement by NiO/SiC heterojunction also exhibits excellent potential in improving the dynamic characteristics of SiC LTTs. The simulation results indicate that the turn-on time of SiC LTT can be reduced by ∼57.76% when triggered by 1.0 W/cm2 ultraviolet light. Furthermore, energy dissipations of SiC LTT during the turn-on and turn-off processes can be reduced by 91.4% and 21.9%, respectively.

BACKGROUND Molybdenum is an essential and beneficial element for humans and crops and has an anti-cancer effect. The content of molybdenum and the pH of the soils are different in different regions, the content of molybdenum in crops varies greatly. At the same time, different crops have a different absorption ability of molybdenum. Studying the rules of molybdenum enrichment in different crops provides a basis for the development of healthy geology, the development of molybdenum-rich agricultural products, the development of functional agriculture, and the adjustment of planting structure. OBJECTIVES To investigate Mo content in different crops and their controlling factors. METHODS This study used the detailed survey area of selenium resources in Luoyang City and other agricultural planting areas as the research object. By collecting 22 kinds of crops and their root soils, inductively coupled plasma-mass spectrometry (ICP-MS) was used to determine the molybdenum content in soils and crops, and the characteristics and influencing factors of the content of molybdenum in different crops were studied. RESULTS The content of molybdenum in the soil of Luoyang City was relatively high, which was the characteristic area of molybdenum-rich soil in China. Mung bean, cowpea, black bean, yellow bean, red bean and peanuts were the main molybdenum enrichment crops, with average >9mg/kg molybdenum content and enrichment factor >500%, which belonged to the molybdenum hyperaccumulator. Sesame, long bean, millet, wheat, corns and rapeseed had high molybdenum content, which ranged from 0.446mg/kg to 2.437mg/kg, and the enrichment coefficient ranged from 40% to 300%, which were molybdenum rich crops. The content of molybdenum in chili, garlic, sweet potatoes and okra ranged from 0.1mg/kg to 0.3mg/kg, and the enrichment factor ranged from 10% to 30%, which were high-molybdenum crops. The content of molybdenum in apple, pear, grape, pomegranate, cherry and Stachys floridana Schuttl.ex Benth was less than 0.05mg/kg, and the enrichment factor was less than 5%, which was a low-molybdenum crop. The content of molybdenum in most crops was positively correlated with that in root soils, while the content of molybdenum in apple, grape, pomegranate, and cherry was negatively correlated within the molybdenum content in the root soils. CONCLUSIONS Studies have shown that molybdenum in soils is more easily absorbed by crops under an alkaline environment. Compared with other areas in China, the crop in the area is richer in molybdenum, so it is a favorable area for the development of a molybdenum-rich agricultural industry. According to the molybdenum content of different crops, mung bean, cowpea, black bean, yellow bean, red bean and peanuts were selected as the characteristic Mo-rich agricultural products in the study area; sesame, long bean, millet, wheat, corns and rapeseed were Mo-rich agricultural products; pepper, garlic, sweet potato and okra were high Mo agricultural products. The results provide a scientific basis for the development and adjustment of the molybdenum-rich agricultural product planting structure in the study area.