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Xiang Wang,1,2 Xin-Shuang Ren,3 Yun-Qiang An,3 Zhi-Hui Hou,3 Yi-Tong Yu,3 Bin Lu,3,&ast; Fang Wang1,2,&ast; 1Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, People’s Republic of China; 2Graduate School of Peking Union Medical College, Chinese Academy of Medical Science, Beijing, 100730, People’s Republic of China; 3Department of Radiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Fang WangDepartment of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, No. 1 DaHua Road, Dongcheng District, Beijing, 100730, People’s Republic of ChinaTel +86 10 85132266Email fw_wangdr@163.comBin LuDepartment of Radiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Bei-Li-Shi Street, Xicheng District, Beijing, 100037, People’s Republic of ChinaTel +86 10 88398700Email binlu_bl09@163.comBackground: A limitation associated with coronary computed tomography angiography (CCTA) is the lack of a normal reference value for aortic root dimensions and the uncertainty of the influence of age and gender on these dimensions. The purpose of the present study was to identify the normal values and variations of aortic root dimensions in healthy individuals and investigate how gender and age affect aortic root size.Methods: A total of 1286 healthy yellow population (52.7 ± 11.0 years, 634 male) who underwent CCTA were retrospectively included in the present study. Male and female patients were divided into seven groups according to age (< 30 years old, 30– 39, 40– 49, 50– 59, 60– 69, 70– 79, ≥ 80 years old). In these age groups, we measured and compared the parameters of the aortic root.Results: After body surface area (BSA) correction, the aortic root parameters of females were found to be greater than those of males in the 40– 49 age group (P< 0.05). There were no significant differences in aortic root parameters between genders in other age groups, except for the diameter of the ascending aorta, which was greater in females (P< 0.05). In males, age was positively correlated with aortic root parameters (P< 0.05), except for the annulus short diameter and LVOT short diameter. In females, age was positively correlated with aortic root parameters (P< 0.05), except for the left coronary ostia height and the LVOT short diameter.Conclusion: Aortic root dimensions are affected by age and gender. After BSA correction, females show larger aortic root dimensions than males, and aortic root diameters increase with age.Keywords: aortic root, BSA, CCTA, age, gender

【Objective】 This paper is to investigate how changes in flow pattern at the water inlet influence the measurement accuracy of box-type integrated measurement and control gates and water flow in front of the gate. 【Method】 Using a commonly used 600 mm × 600 mm flow measurement box in irrigation systems as the test subject, 98 model tests were conducted at an indoor testing facility. Disturbance facilities were set up to study the effects of flow symmetry, gate opening, and water level changes on the flow pattern and measurement accuracy in front of the gate. 【Result】 ① The intensity, frequency, and duration of vortices in the flow measurement box vary across different operating conditions. When the measurement box is non-submerged, surface depression vortices are predominant, with minimal impact on measurement accuracy. When the box is submerged and water depth exceeds 20 cm, vortex intensity decreases with increased submergence, but when the depth is less than 20 cm, vortex intensity reaches a maximum, and through-vortices form, causing a significant increase in measurement error. ② The symmetry of the inlet flow pattern is a primary factor influencing vortex formation. Under asymmetric inlet flow conditions, suction vortices are likely to occur in the measurement box, significantly increasing measurement error, with a maximum error of about 22.58%. 【Conclusion】 Adjusting submergence depth, gate opening, and inlet flow symmetry effectively reduces vortex intensity around the measurement box and improves measurement accuracy.

Abstract The quality of Recombination signal sequences (RSSs), location, and genetics of mammalian V, D, and J genes synergistically affect the recombination frequency of genes; however, the specific regulatory mechanism and efficiency have not been elucidated. By taking advantage of single-cell RNA-sequencing (scRNA-seq) and high-throughput sequencing (HTS) to investigate V(D)J rearrangement characteristics in the CDR3 repertoire, we found that the distal and proximal V genes (or J genes) “to D” gene were involved in rearrangement significantly more frequently than the middle V genes (or J genes) in the TRB locus among various species, including Primates (human and rhesus monkey), Rodentia (BALB/c, C57BL/6, and Kunming mice), Artiodactyla (buffalo), and Chiroptera (Rhinolophus affinis). The RSS quality of the V and J genes affected their frequency in rearrangement to varying degrees, especially when the V-RSSs with recombination signal information content (RIC) score < -45 significantly reduced the recombination frequency of the V gene. The V and J genes that were “away from D” had the dual advantages of recombinant structural accessibility and relatively high-quality RSSs, which promoted their preferential utilization in rearrangement. The quality of J-RSSs formed during mammalian evolution was apparently greater than that of V-RSSs, and the D-J distance was obviously shorter than that of V-D, which may be one of the reasons for guaranteeing that the “D-to-J preceding V-to-DJ rule” occurred when rearranged. This study provides a novel perspective on the mechanism and efficiency of V-D-J rearrangement in the mammalian TRB locus, as well as the biased utilization characteristics and application of V and J genes in the initial CDR3 repertoire.

In view of the in tense contradictions in the development and utilization of marine space resources in the Beibu Gulf, a sea area of Guangxi, this study comprehensively analyzes the conflicts arising from various development and utilization activities, as well as those between development, utilization, and ecological protection. This analysis is conducted from three perspectives: two-dimensional plane compatibility in sea area management, three-dimensional layered feasibility of rights confirmation, and four-dimensional time division coordination. The study explores the optimal allocation scheme for two-dimensional, three-dimensional, and four-dimensional sea use space and time sequence, and proposes a principle for determining the priority of sea use functions. The research findings are highly instrumental in guiding territorial space planning, particularly the marine component, and various industries with specialized sea planning. These results have been widely applied, effectively fostering the intensive, economical, and coordinated utilization of marine space resources in the Beibu Gulf. In the subsequent stages of ocean space resources management, continuous breakthroughs are necessary in policy system optimization, coordination mechanism construction, scientific and technological innovation, and other areas to promote the sustainable development of Guangxi’s marine economy.

The conventional diagnostic logics for hotbox warning/alarms are mainly based on predefined absolute temperature thresholds and temperature rising slope thresholds. They often fall short in effective analysis and judgments when encountering fluctuating measured temperature values. Abnormal jumps and missing of axle temperature measurements frequently occur on the hotbox monitoring system for high-speed trains due to external factors such as inadequate hardware circuit contact or electromagnetic interference, potentially triggering false warning/alarms. To solve these, this paper proposes a logic framework for removing abnormal temperature curves. Drawing insights from an extensive analysis of field data on axle temperature measurements, this approach enables extracting features that accurately depict variations in temperature curves, to display fluctuations as well as rising trends of temperature data, thereby offering a basis for identifying abnormal temperature variations. Simulation results showcased the effectiveness and viability of the proposed scheme in identifying abnormal jumps in temperature data. Furthermore, the methodology has been assessed through long-time track operation, with a notable reduction in the false warning rate from 78.3% to 26.5%.

To investigate the potential applications of bio-based epoxy resins across diverse fields, this study synthesized a bio-based epoxy resin using itaconic acid (EIA) as the precursor material and compared its thermal, mechanical, and electrical properties with those of epoxy acrylate (EA). The findings indicate that the glass transition temperature and the 5% thermal decomposition temperature of the EIA-cured system are higher than those of EA. The breakdown field strength of the EIA-cured system is slightly higher than that of EA (35.58 kV·mm−1), suggesting that EIA exhibits stronger electrical properties compared to EA. Mechanical property tests demonstrate that the tensile strength, elongation at the fracture point, and Shore hardness of the EIA-cured system are superior to those of EA. In conclusion, EIA, serving as a matrix resin, is influenced by cross-linking density and intramolecular ester bonding and exhibits close electrical strength but superior mechanical, thermal, and degradation properties than EA.

Salmonella enterica is a common pathogen in humans and animals that causes food poisoning and infection, threatening public health safety. We aimed to investigate the genome structure, drug resistance, virulence characteristics, and genetic relationship of a Salmonella strain isolated from patients with food poisoning. The pathogen strain 21A was collected from the feces of patients with food poisoning, and its minimum inhibitory concentration against commonly used antibiotics was determined using the strip test and Kirby-Bauer disk methods. Subsequently, WGS analysis was used to reveal the genome structural characteristics and the carrying status of resistance genes and virulence genes of strain 21A. In addition, an MLST-based minimum spanning tree and an SNP-based systematic spanning tree were constructed to investigate its genetic evolutionary characteristics. The strain 21A was identified by mass spectrometry as S. enterica, which was found to show resistance to ampicillin, piperacillin, sulbactam, levofloxacin, and ciprofloxacin. The WGS and bioinformatics analyses revealed this strain as Salmonella Enteritidis belonging to ST11, which is common in China, containing various resistance genes and significant virulence characteristics. Strain 21A was closely related to the SJTUF strains, a series strains from animal, food and clinical sources, as well as from Shanghai, China, which were located in the same evolutionary clade. According to the genetic makeup of strain 21A, the change G > A was found to be the most common variation. We have comprehensively analyzed the genomic characteristics, drug resistance phenotype, virulence phenotype, and genetic evolution relationship of S. Enteritidis strain 21A, which will contribute towards an in-depth understanding of the pathogenic mechanism of S. Enteritidis and the effective prevention and control of foodborne diseases.

The multicore fiber amplifier, as a key component in spatial division multiplexing (SDM) communication systems, presents higher technical difficulty compared to traditional multi-channel single core fiber amplifiers, which has sparked widespread attention. To achieve balance, efficiency, miniaturization, and cost-effectiveness in the performance of multi-core optical fiber amplifiers, we propose an innovative triple cladding 13-core Er/Yb co-doped microstructured fiber (13CEYDMOF). The proposed fiber features an outer cladding with peanut-shaped air holes, which enables uniform excitation of the 13 cores using a single multimode laser pump source within the inner cladding. This approach also prevents damage or aging of the fiber’s outer coating due to the pump laser. Furthermore, the design of Peanut-Shaped Air Holes effectively increases the numerical aperture (NA) of the inner cladding while reducing the outer diameter of the fiber, enhancing the fiber’s mechanical flexibility. To address the coupling difficulties caused by air holes, we bi-directionally pump the 13CEYDMOFA by utilizing a combined technique of the side winding and end pumping. The experimental results show that the 13CEYDMOFA can achieve an average gain of 23.8 dB, a noise figure (NF) of ∼4.6 dB, and an inter-core gain difference of less than 2 dB in the wavelength range of 1529–1565 nm. The in-line amplified transmission experiment demonstrates that the 13CEYDMOFA is well suited for the 13 spatial channels transmission. To the best of our knowledge, this is the first time to realize high performance telecommunication band amplification in a multicore microstructure fiber.

We investigate the effective diffusion of a tracer immersed in an active particle bath consisting of self-propelled particles. Utilising the Dean's method developed for the equilibrium bath and extending it to the nonequilibrium situation, we derive a generalized Langevin equation (GLE) for the tracer particle. The complex interactions between the tracer and bath particles are shown as a memory kernel term and two colored noise terms. To obtain the effective diffusivity of the tracer, we use path integral technique to calculate all necessary correlation functions. Calculations show the effective diffusion decreases with the persistent time of active force, and has rich behavior with the number density of bath particles, depending on different activities. All theoretical results regarding the dependence of such diffusivity on bath parameters have been confirmed by direct computer simulation.

Objectives: The transition to a low-carbon and sustainable energy system is essential to combating climate change and ensuring the long-term viability of the global energy industry. Smart grid technologies are emerging as a transformative force in this transition. This research explores the multifaceted impact of smart grid technologies on the new energy industry and evaluates the influence of policies and regulations in shaping its development. Methods: The study employs a mixed-method approach, combining quantitative analysis of key performance indicators (KPIs) and a qualitative examination of stakeholder perspectives. The quantitative analysis focuses on the impact of smart grids on renewable energy penetration, carbon emissions, and energy efficiency. The qualitative analysis draws on interviews with experts from industry, academia, and government to gain insights into the role of policies and regulations in driving smart grid development. Results: The quantitative analysis reveals a significant increase in renewable energy penetration, a reduction in carbon emissions, and enhanced energy efficiency in regions with high smart grid adoption. These findings indicate the substantial impact of smart grid technologies in facilitating the transition to a clean and sustainable energy system. The qualitative analysis highlights the role of policies and regulations in driving the growth of renewable energy capacity, reducing carbon emissions, and creating jobs in the new energy industry. Supportive regulatory frameworks have been instrumental in stimulating investment in smart grid technologies and renewable energy projects. A regression analysis was conducted to shed light on the impact of sustainability indicators, economic assessments, and renewable energy capacity on carbon emissions. The analysis shows that these variables significantly influence carbon emissions, providing insights for policymakers and industry stakeholders. Conclusion: The findings of this study underscore the importance of smart grid technologies and supportive regulatory frameworks in facilitating sustainable energy development. Smart grid technologies play a critical role in enabling the integration of renewable energy into the grid, improving energy efficiency, and reducing carbon emissions. Governments and industry stakeholders should collaborate to accelerate the deployment of smart grid technologies and create a supportive policy environment for the new energy industry.Research and development should be funded for innovative smart grid technology.

Objective To investigate the effect of gradual adjustment of surgical position in prevention of complications of thyroid surgery. Methods Totally 100 patients undergoing surgical treatment for thyroid diseases were divided into the control group and observation group, with 50 cases in each group. Conventional surgical position was in the control group, while the surgical position was gradually adjusted in the observation group. The incidence of postoperative complications and patient satisfaction with nursing service were measured and compared between two groups. Results The incidence rats of postural syndrome, circulatory complications, muscle tissue complications and ocular complications in the observation group were lower than those in the control group(P＜0. 05). The scores of service attitude assessment and patient satisfaction assessment in the s in the observation group were higher than those in the control group(P＜0. 05). Conclusion Gradual adjustment of surgical position is potentially effective to reduce the postoperative complications of thyroid surgery and improve the quality of surgical nursing. (目的 探究渐进式体位在降低甲状腺手术并发症中的应用效果。方法 选取2022年7月—12月医院收治的甲状腺疾病行手术治疗的100例患者为研究对象, 分为对照组和观察组, 各50例。对照组采用常规手术方式和手术体位, 观察组基于常规术式及体位的基础上进行渐进式体位调整。对比两组术后并发症发生和患者对围手术期护理的评价。结果 观察组术后体位综合征、循环系统并发症、肌肉组织并发症和眼部并发症发生率均低于对照组, 差异有统计学意义(P＜0. 05)。观察组患者服务态度评分和护理满意度评分均高于对照组(P＜0. 05)。结论 运用渐进式体位变换改良传统甲状腺手术体位, 可以降低术后并发症的发生率, 有利于优化甲状腺手术护理工作, 提升手术治疗质量。)

In modern industrial production, many advanced manufacturing technologies are constantly developing with the progress of social sciences. Welding, as an indispensable manufacturing technology in industrial production, has received close attention from various industries. High frequency welding technology is needed in fields such as mechanical manufacturing, machine making in the food industry, and intelligent robot model making. High frequency welding is an important technical means in the production process of welded pipes, and the level of welding temperature has a significant impact on the quality of welded pipe welds. This article studied the shortcomings of traditional high-frequency welding, analyzed the application method of nonlinear finite element method in high-frequency welding, and analyzed the dynamic process of welding and its influencing factors. The finite element method formula is used to stabilize the value of three-dimensional (3D) temperature field. This work studied the temperature distribution of welded pipe welding, welded pipe materials, inside and outside of welded pipe, and temperature changes under different voltages. The experimental results showed that the error value between the simulation results of the 3D temperature field of high-frequency welding and the measured experimental results was about 4.3542°C, which was basically similar, indicating the effectiveness of the 3D temperature field simulation experiment. With the development of science and technology, high-frequency welding technology would continue to improve, and the quality of welded pipe welds would become better and better with the progress of technology. The improvement in quality promotes the development and progress of industry, and maintains the quality of machine manufacturing. The simulation experiment method of 3D temperature field has shortened the experimental time and reduced the experimental cost, providing a new reference for other temperature related experiments.

In order to improve the operating efficiency of belt conveyors through variable frequency speed regulation, it is necessary to detect the coal flow of belt conveyor. The existing deep learning-based coal flow detection methods for belt conveyors are difficult to achieve a balance between model lightweight and classification accuracy. There are few researches on the impact of imbalanced channel weight distribution on detection accuracy in the feature extraction process. In order to solve the above problems, a lightweight multi-scale cross channel attention coal flow detection network is proposed. The network consists of a feature extraction network and a classification network. The lightweight residual network ResNet18 is used as the feature extraction network, and on this basis, the coal flow channel attention (CFCA) subnetwork is introduced. The CFCA subnetwork uses multiple one-dimensional convolutions with different kernel sizes, and stacks the output of one-dimensional convolution to capture cross channel interaction relationships at different scales in the feature map. It achieves the reassignment of feature map weights, thereby improving semantic expression capability of the feature extraction network. The classification network consists of three fully connected layers, which take the output of the vectorized feature extraction network as input and perform nonlinear mapping on it. It ultimately obtains the probability distribution of three types of results: 'little coal', 'moderate coal', and 'much coal'. By transforming the coal flow detection problem into an image classification problem, the problem of frequent frequency conversion and speed regulation of belt conveyors caused by excessive fluctuations in instantaneous coal flow is avoided. It improves stability of belt conveyor operation. The experimental results show that the ResNet18+CFCA network improves classification accuracy by 1.6% compared to the ResNet18 network, with almost no increase in network parameters and computational complexity. It can distinguish foreground information in images more effectively and accurately extract coal flow features.

The professional identity of grid workers is a significant expression of social service consciousness, and this paper utilizes statistical analysis methods to study its related factors. Under the framework of SPSS 22.0, the non-robust paradigm square of traditional PCA is replaced by a robust measure, and the AWL-RPCA model is constructed by combining the introduced data adaptive learning. Meanwhile, to address the data smoothness problem of quantile regression, the PDQR model was proposed by using the method of constructing panel data to optimize the control of individual heterogeneity. Taking the gridmen in L street of a city as the research object, the related factors of occupational identity were mined based on the AWL-RPCA model, and then the regression equation was obtained by the PDQR model. The degree of influence of the independent variables on the occupational identity of the gridmen from the highest to the lowest is the working status, the level of education, the pressure of helping and teaching, the appraisal satisfaction, the support and coordination satisfaction, and the propaganda satisfaction, and the regression coefficients are 8.36, 3.14, 5.08, 3.60, -4.35, and 3.32, respectively. Under the guidance of the statistical analysis of the SPSS, the construction of the gridmen team can be optimized in a better way.

ObjectiveCOVID-19 vaccination is critical for pandemic control， especially in the elderly. Compared with developed countries， the rate of full vaccination and booster vaccination for the elderly in China is low， making it urgent to accelerate the process of vaccination for the elderly in China.MethodsThis study summarizes the policy experiences of the United Kingdom， the United States， Singapore， and South Korea by sorting relevant literature and government websites， analyzes the current performance and reasons for COVID-19 vaccination among the elderly in China， and explores strategic suggestions for improving COVID-19 vaccination in the elderly in terms of vaccination priority groups， service provision， and vaccination intention.ResultsIt is important to vaccination rate for the elderly in China by focusing on the priority vaccination population， establishing a permanent mechanism based on the family doctor system， and increasing the willingness to vaccinate.ConclusionContinued reinforcement of COVID-19 vaccination for the elderly is needed， and the existing vaccination model is overwhelming. We should establish a permanent mechanism based on the family doctor system to transfer from a mobilization model to a regular vaccination model.

Objective： This study aimed to obtain suitable turbulence model for simulation infrared combined spouted bed numerical valued. Methods: Two equation models (SST k-ε and Realizable k-ε) were used for numerical simulation to obtain the performance parameters of the infrared spouted bed and the velocity, temperature and particle concentration distribution of the flow field in the drying chamber under different working conditions. The particle drying experiment of the infrared spouted bed was carried out. Results: When under the working conditions of air inlet velocity of infrared spouted bed drying chamber of 8 m/s and a temperature of 50 ℃, the values obtained by Realizable k-ε simulation are similar to those obtained by SST k-ε. The particle volume fraction distribution, velocity distribution and temperature distribution in the fluid domain of the drying chamber obtained by numerical simulation with the two turbulence models were similar, and the overall effect is good, which showed that the application of the two turbulence models to the equipment is feasible. The turbulence model of Realizable k-ε converged faster, but the stability of SST k-ε was better. Conclusion: The Realizable k-ε turbulence model is more reasonable to describe three-dimensional flow field of infrared spouted bed.

The traditional wired communication network in coal mines has problems such as fixed bandwidth, low effective utilization, high time-delay, and inflexible system configuration. This cannot meet the development needs of intelligent business in coal mines. Mining 5G and WiFi6 wireless communication has the problem of large roadway attenuation and lower reliability than wired communication. According to the characteristics of F5G (the fifth generation fixed networks) industrial optical ring network communication technology, it is pointed out that F5G industrial optical ring network communication technology is the development trend of mine wired communication. Two key technologies of F5G industrial optical ring network are introduced. They are 10 Gibit/s PON (passive optical network) technology and digital quick optical distribution network (DQ ODN) technology. The advantages of F5G industrial optical ring network and traditional wired network in network delay, electrical safety, business safety, construction safety and maintenance safety are compared. Based on the demand characteristics and construction examples of F5G industrial optical ring network communication technology applied in coal mines, this paper analyzes the specific applications of F5G industrial optical ring network communication technology in scenarios such as underground industrial remote control, high-definition video transmission, industrial network migration, remote fault diagnosis, and wireless network signal transmission. It points out the shortcomings and prospects of F5G industrial optical ring network communication technology in coal mines. ① There are few types of mining equipment based on F5G industrial optical ring network communication technology. ② There is still room for improvement in the adaptation of scenarios and different business types. ③ The F5G industrial optical ring network communication technology is the same as the traditional Ethernet ring network communication interface in terms of system interface and protocol. The terminal equipment can be accessed and used without changing the adaptation. It is an effective solution for the industrial network in the future coal mine scenario. ④ Coal mines should build F5G pilot projects based on their own actual conditions to support the application and research of F5G industrial optical ring network communication technology with actual scenarios.

Abstract This research presents a decentralised incentive‐based demand response (DR) program using blockchain technology. Consumers self‐report baseline to the system operator (SO), the smart contract confirms the validity of the data to execute transactions and finally the validators record the information on the blockchain network. During the DR event, a set of consumers are randomly selected to deliver the required load reduction. The signalled consumer who delivers the load reduction is rewarded, and the non‐called consumers who diverge from their reported baseline are penalised. The randomness of choosing the consumers and penalty function restrict the baseline inflation. Here, we create a blockchain network and deploy a smart contract on the Ethereum build platform. A DR event scenario is adopted with residential houses data sets, all consumers report their baseline information to the SO through the Internet and smart meter. The SO calls four users to deliver the essential load reduction according to the probability of choosing a consumer. The smart contract verifies the received information to start transaction execution. We use proof of authority mechanism to select validation nodes from the participants using voting system. They validate each block before adding it to the blockchain. Last, the monetary transactions settle in participants' wallets. Our results confirm that decentralised systems like blockchain can significantly improve transparency, openness, and customer participation in the DR program. Also contributes to the security and privacy of user information with a minimal investment in new infrastructure.

Using finite element simulation and experimental testing methods, with three stiffened rib configurations as the research object, the effect of the stiffened rib configuration on the mechanical behavior of the stiffened plate structure is analyzed under the given material parameters and geometric parameters of the stiffened plate. And the method of sine curve instead of straight line is used to optimize the structure. The research shows that the reinforcement effect of the plate is better than the positive distribution when the square configuration is distributed in the 45° direction, and the vertical distribution of the regular hexagon and the inner concave configuration has better plate reinforcement effect than the horizontal distribution and the 45° direction distribution; the smaller the angle between the pores of the stiffened configuration is, the better the reinforcement effect of the plate is; the use of sinusoids in the stiffened layer instead of the straight line boundary can significantly improve the bearing capacity of the stiffened plate; through the analysis of the crack path of the stiffened plate, it can be obtained that all the stiffened layers of the stiffened plate expand along the longitudinal rib wall at the load-bearing position after bending and deformation.

With the development of the duplex converter process, the amount of dephosphorization furnace slag is increasing, and it has relatively low basicity. It has been indicated that the recovery of valuable elements from dephosphorization slag by carbothermic reduction has great environmental and economic benefits due to its high content of P, Fe, and Mn. In this work, the experimental slag was reduced by carbon powder in a resistance furnace at 1,550°C. The results show that 76.82% of P, 99.60% of Fe, and 11.82% of Mn in the slag are recycled at basicity 1.0, and the recovery ratios of P, Fe, and Mn are 34.58, 78.89, and 13.85% at basicity 2.0, respectively. The ferrophosphorus obtained from the reduction of the dephosphorization furnace slag can be used as a raw material for steel-making alloy, and the residual steel slag can be used as cement and other building materials. This work provides a reference for recycling and resource utilization of dephosphorization furnace slag.

Candida albicans (C. albicans) is a ubiquitous clinical fungal pathogen. In recent years, combination therapy, a potential treatment method to overcome C. albicans resistance, has gained traction. In this study, we synthesized a series of cyclometalated iridium(III) complexes with the formula [Ir(C-N)2(tpphz)](PF6) (C-N = 2-phenylpyridine (ppy, in Ir1), 2-(2-thienyl)pyridine (thpy, in Ir2), 2-(2,4-difluorophenyl) pyridine (dfppy, in Ir3), tpphz = tetrapyrido[3,2-a:2',3'-c:3'',2''-h:2''',3'''-j]phenazine) and polypyridyl ruthenium(II) complexes with the formula [Ru(N-N)2(tpphz)](PF6)2 (N-N = 2,2'-bipyridine (bpy, in Ru1), 1,10-phenanthroline (phen, in Ru2), 4,7-diphenyl-1,10-phenanthroline (DIP, in Ru3)), and investigated their antifungal activities against drug-resistant C. albicans and their combination with fluconazole (FLC). Of which, the combination of the lead iridium(III) complex Ir2 and FLC showed strong antifungal activity against drug-resistant C. albicans. Mechanism studies have shown that they can inhibit the formation of hyphae and biofilm, damage mitochondrial function and accumulate intracellular ROS. Therefore, iridium(III) complexes combined with FLC can be used as a promising treatment to exert anti-drug-resistant C. albicans activity, in order to improve the treatment efficiency of fungal infection.

The bearing capacity of drilling with pre-stressed concrete pile cased pile (hereafter referred to as DPC pile) is closely related to the grouting effect on an annular gap between a pre-stressed high-strength concrete (PHC) pipe pile wall and a hole wall (hereafter referred to as the an annular pile–soil gap). A physical grouting model testing system for the DPC pile based on a high-precision three-dimensional (3D) scanner and a multi-functional grouting box has been independently developed. In this method, 3D geometric size and spatial point information of the grouting stone have been quantitatively characterized. The influences of the water–cement ratio, grouting pressure, collapsed holes, and falling sand have been studied. The conclusions are obtained as follows: (1) a quantitative characterization method of the 3D geometric dimensions of the grouting stone based on a 3D scan is accurate and reliable and can overcome the shortcomings of traditional manual measurement. (2) In the same horizontal plane, grouting body thickness gradually decreases as its horizontal distance from the grouting outlet increases, and the higher the elevation, the greater the rate of decrease; conversely, the lower the elevation, the slower the rate of decrease. When the horizontal distance from the pulp outlet is equal, slurry thickness gradually decreases as the height increases. (3) For the grouting liquid with a water–cement ratio of 0.5, grouting pressure should not be less than 0.6 MPa. (4) When the falling sand is not far above the grouting outlet, a grouting root system can be formed, whose grout veins, complexity, and grout coverage area can be optimally improved by changing the fluidity of the grout and grouting pressure. When the falling sand is on the side of the grouting outlet or the surface of the grouting outlet but far away from the grouting outlet, it is easy to be avoided by the grout, which can greatly reduce the grouting effect.

At present, resonance demodulation and data envelopment analysis, etc are usually used for health evaluation and remaining life prediction of bearings, but there are some problems such as difficulty in extracting health degree, single fault prediction type, and lack of reliable models. Aiming at these deficiencies, this paper proposes a method which realizes bearing health assessment and remaining life prediction through two-stage cascaded long short term memory neural network. In this paper, the bearing data set of Xi'an Jiaotong University is used for experimental comparison. The results show that, compared with the resonance demodulation method, the monotonicity, robustness and trend of the health degree curve are comprehensive in the health degree evaluation of single fault data using this method. The evaluation indicators increase by 12%, 24.8% and 5% respectively, and the comprehensive evaluation index in the composite fault data increases by 15.1%, and the remaining service life can be predicted according to the health evaluation curve, which proves that the method is effective in health evaluation and remaining life.

Based on CAFE theory and KGT model, the twin-roll strip casting mathematical model was established to solve the dendrite growth and solidification of T2 copper alloy in the molten pool. The influence mechanism of casting temperature, heat transfer, and other technological conditions on the microstructure of strip was analyzed. The results showed that the liquid metal formed 35 µm chilling layer after touching the rollers, and the layer was consisted of a high number of small and equiaxed crystals. Then some grains would appear close to the newly chilling layer, and grow toward the core of molten pool competitively. The dominant grains mainly grew along the 〈001〉 orientation into columnar crystals, and the rest grains that grew out of alignment were eliminated gradually. The number of grains declined, and the radius of columnar grains became coarsening. The Kiss point is a key factor for solidification structure, and the lower location of the Kiss point could limit the growth spaces of columnar crystals, which refined the grains.

In this paper, we proposed a cross-shaped interconnected receiver–transmitter (RT) metasurface (MS) that was employed for a high-aperture-efficiency, high-gain, circularly polarized Fabry–Pérot (FP) antenna. The RT-MS unit cell consists of upper-layer cross-shaped patch and lower-layer squared patch that are connected by two metal-probes that cross the sandwiched middle metal-plane. The bottom patch receives electromagnetic wave, functioning as receiver, and transfers it to the top cross-shaped patch passing through the two mental probes. Through tuning the relative locations of the two probes, equal amplitude and 90° phase difference can be obtained, thereby achieving linear to circular polarization conversion performance, indicating that the MS has the ability of tuning transmission coefficients independently. Meanwhile, the MS is designed to present high reflectivity that high-gain property is obtained when forming a FP cavity. Then, an off-center coaxial patch antenna is applied as feeder due to its stable radiation performance. To further enhance the performance of the source antenna, an AMC structure is adopted to improving the radiation gain, efficiency and radiation directivity by suppressing surface wave loss. Meanwhile, the profile was also reduced. The linearly polarized wave emitting from the feeder multi-reflected in the FP cavity formed by MS superstrate and AMC structure, and then transmit it in phase to the space, thus a high-gain and CP radiation is achieved as final. The measurements demonstrate that the proposed RT-MS-based antenna perform a maximum gain of 18.7dBic at 9.4GHz with aperture efficiency of 76.7%, and a circular polarization bandwidth within 9.2-9.7GHz, while, the antenna owns a compact size of only $2.85\lambda _{0}\times 2.85\lambda _{0}$ . Thus, a novel RT-MS-based FP antenna exhibit a good radiation performance that can be a candidate in applying to communication and point-to-point links.

To explore the molecular mechanisms of different processing technologies on rose tea (Rosa rugosa cv. Plena), we investigated the rose tea proteome (fresh rose tea [CS], vacuum freeze-drying rose tea [FD], and vacuum microwave rose tea [VD]) using label-free quantification proteomics (LFQ). A total of 2187 proteins were identified, with 1864, 1905, and 1660 proteins identified in CS, FD, and VD, respectively. Of those, 1500 proteins were quantified. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) annotation and enrichment analysis of differential expression proteins (DEPs) in VD vs. CS, FD vs. CS, and FD vs. VD showed that these pathways were associated with energy metabolism, the metabolic breakdown of energy substances and protein biosynthesis, such as oxidative phosphorylation, citrate cycle, carbon metabolism pathways, and ribosome and protein processing in endoplasmic reticulum. FD could ensure the synthesis of protein translation and energy metabolism, thereby maintaining the high quality of rose tea.

Textile reinforced concrete (TRC) was prepared from high-alumina cement mixed with short-cut basalt fiber or steel fiber for the objective to analyze the mechanical performance and deterioration mechanism at high temperature. The results show that the high-temperature resistance of TRC matrix concrete can be improved by adding steel fibers and basalt fibers, but the compressive strength of concrete decreases with the increase of temperature in a quadratic parabolic law, while the flexural strength decreases in a linear law. The addition of basalt fiber significantly improves the bending bearing capacity of the TRC plates. In comparison, the addition of steel fiber significantly improves the flexural strength of TRC thin-plates above 600°C. The scanning electron microscopy indicates that when the temperature surpasses 600°C, the addition of basalt fiber and the steel fiber surface are significantly damaged by high-temperature deterioration. The deterioration of the mechanical performance of TRC thin-plates at high temperatures is caused mainly by changes in the chemical composition of the concrete matrix, deterioration of the fiber and damage of the bonding surface. The results obtained in this study can provide the theoretical support for the design and application of TRC in a high-temperature environment.

In this paper, the TAW-1000 triaxial test system is used to carry out the triaxial compression test of the complete and single fractured coals under different confining pressures, and the acoustic emission monitoring system is used. This paper analyzes the failure mechanism of fractured coal and rock based on the fracture diagram of fractured coal and the relationship between stress and strain. The results show that: the stress of single fracture coal is more complex than that of intact coal. The stress concentration at the tip of the fracture leads to the formation of micro cracks and the development of connectivity, which makes the coal enter the plastic stage earlier and leads to the significant deterioration of the strength and elastic modulus of coal. The results show that the lateral deformation of fractured coal and rock is more significant than that of intact coal and rock under higher confining pressure; with the increase of confining pressure, the fracture mode of 45° fractured coal and rock presents an excessive failure mode from direct shear failure to oblique shear failure; the stress-strain curve of 60° fractured coal and rock presents a plateform softening, and the change of elastic modulus is not obvious with the increase of confining pressure; under the same confining pressure, with the increase of fracture angle, the mechanical parameters of fractured coal and rock deteriorate significantly with the increase of fracture degree. The fracture dip angle is positively correlated with the ringing number.

The appearance of an ice jam in a river crucially distorts local hydrodynamic conditions including water level, flow velocity, riverbed form and local scour processes. Laboratory experiments are used for the first time here to study ice-induced scour processes near a bridge pier. Results show that with an ice sheet cover the scour hole depth around a bridge is increased by about 10% compared to under equivalent open flow conditions. More dramatically, ice-jammed flows induce both greater scour depths and scour variability, with the maximum scour depth under an ice-jammed flow as much as 200% greater than under equivalent open flow conditions. Under an ice-jammed condition, both the maximum depth and length of scour holes around a bridge pier increase with the flow velocity while the maximum scour hole depth increases with ice-jam thickness. Also, quite naturally, the height of the resulting deposition dune downstream of a scour hole responds to flow velocity and ice jam thickness. Using the laboratory data under ice-jammed conditions, predictive relationships are derived between the flow’s Froude number and both the dimensionless maximum scour depth and the dimensionless maximum scour length.

The frost heaving pressure generated by water–ice phase change and volume expansion of saturated fractured rock mass in cold regions promote the initiation and expansion of new fractures, and lead to further damage and deterioration of fractured rock mass. To reveal the frost heaving pressure degradation mechanism of fractured rock mass subjected to multiple freeze–thaw cycles, the repeated frost heaving pressure monitoring test was carried out on saturated fractured granite with different macroscopic fractures under different freezing temperatures. The evolution characteristics of cyclic frost heaving pressure and the effect of crack size, freezing temperature and the number of freeze–thaw cycle on the frost heaving pressure of saturated fractured granite were analyzed. The results show that the evolution characteristics of frost heaving pressure in single freeze–thaw cycle is similar, which can be roughly divided into five stages. As the number of freeze–thaw cycles increases, the peak frost heaving pressure decreases exponentially, and the amplitude of peak frost heaving pressure drop increases. The peak frost heaving pressure increases linearly with the increase of crack length. The smaller the crack width, the earlier the frost heaving pressure appears in the freezing and thawing stages. The lower the freezing temperature, the earlier the frost heaving pressure appears. The peak frost heaving pressure increases linearly with the decrease of temperature, and the effect of freezing temperature on the frost heaving pressure weakens with the increase of freeze-thaw cycles. As the freezing temperature decreases, the effect of crack size on the peak frost heaving pressure becomes more significant. The research results can provide reference for the theoretical calculation and numerical analysis on frost heaving pressure of fractured rock masses in cold regions.

This paper is concerned with a chemotaxis system ut=Δum−∇⋅(χ1(w)u∇w)+μ1u(1−u−a1v),x∈Ω,t>0,vt=Δvn−∇⋅(χ2(w)v∇w)+μ2v(1−a2u−v),x∈Ω,t>0,wt=Δw−(αu+βv)w,x∈Ω,t>0,\left\{\begin{array}{ll}{u}_{t}=\Delta {u}^{m}-\nabla \cdot \left({\chi }_{1}\left(w)u\nabla w)+{\mu }_{1}u\left(1-u-{a}_{1}v),& x\in \Omega ,\hspace{0.33em}t\gt 0,\\ {v}_{t}=\Delta {v}^{n}-\nabla \cdot \left({\chi }_{2}\left(w)v\nabla w)+{\mu }_{2}v\left(1-{a}_{2}u-v),& x\in \Omega ,\hspace{0.33em}t\gt 0,\\ {w}_{t}=\Delta w-\left(\alpha u+\beta v)w,& x\in \Omega ,\hspace{0.33em}t\gt 0,\end{array}\right. under homogeneous Neumann boundary conditions in a bounded domain Ω⊂R3\Omega \subset {{\mathbb{R}}}^{3} with smooth boundary, where μ1,μ2>0{\mu }_{1},{\mu }_{2}\gt 0, a1,a2>0{a}_{1},{a}_{2}\gt 0, α,β>0\alpha ,\beta \gt 0, and the chemotactic sensitivity function χi∈C1([0,∞)){\chi }_{i}\in {C}^{1}({[}0,\infty )), χi′≥0{\chi }_{i}^{^{\prime} }\ge 0. It is proved that for any large initial data, for any m,n>1m,n\gt 1, the system admits a global weak solution, which is uniformly bounded.

A modified lazy learning algorithm combined with a relevance vector machine (MLL-RVM) is presented to address a data-driven modelling problem for a gasification process inside a united gas improvement (UGI) gasifier. During the UGI gasification process, the measured online temperature of the produced crude gas is a crucial aspect. However, the gasification process complexities, especially severe changes in the temperature versus infrequent manipulation of the gasifier and the unknown noise in collected data, pose difficulties in dynamics process descriptions via conventional first principles. In the MLL-RVM, a novel weighted neighbour selection method is adopted based on the proposed dynamic cost functions. Moreover, the RVM is utilized in the implementation and design of the proposed online local modelling owing to its short test time and sparseness. Furthermore, the leave-one-out cross-validation technique is used for local model validation, by which the modelling performance is further improved. The MLL-RVM is applied to a series of real data collected from a pragmatic UGI gasifier, and its effectiveness is verified.

In this paper, aiming at the detection of fatigue driving scene of drivers, a diagnostic model based on machine learning is proposed under the scene of long-time driving. The validity of the model is verified by simulation experiments. The simulation result shows that the model can effectively fit the fatigue condition of drivers under long-time driving, and accurately judge and warn the fatigue state of drivers. At the same time, the model also extends the application of fatigue classification detection.

The increasing demand for clean and sustainable energy sources has driven extensive research and development in the field of hydrogen fuel cell technology. This article provides an in-depth analysis of the advancements in hydrogen fuel cell technology and its potential application in passenger cars as a widely available, clean, and efficient energy source. By reviewing the current status of hydrogen fuel cells and national policies governing their implementation, this study aims to shed light on the development characteristics of China's hydrogen fuel cell industry, while also drawing comparisons with international hydrogen fuel cell policies and applications. Additionally, the article evaluates the performance of existing hydrogen fuel cell passenger cars in the market and proposes the application of future cutting-edge technologies to further enhance their capabilities. Through meticulous paraphrasing and enrichment, this scholarly work offers a comprehensive overview of hydrogen fuel cell technology, delves into the intricate landscape of the industry, and explores the promising prospects for its continued advancement. By encompassing a wide array of aspects related to hydrogen fuel cell technology, this article contributes to the academic discourse surrounding sustainable and efficient energy solutions for the transportation sector.

This pot experiment was to evaluate how salts (NaCl, Na2SO4) and alkali (Na2CO3+NaHCO3) affect the physiological and biochemical characteristics during the seedling stage of two cotton cultivars (salt-tolerant, L24; salt-sensitive, X45). Salt and alkali stress reduced seedling emergence rate, relative biomass, and chlorophyll content, however, the REC and MDA content increased. Salt and alkali stress increased markedly superoxide dismutase (SOD) activity. Peroxidase (POD) activity increased first and then decreased as the increase of salt and alkali stress. Catalase (CAT) activity initially increased and then decreased as NaCl stress increased. In addition, the SOD activity, REC, and MDA content was markedly higher in salt stress than that in alkali stress. The proline content of L24 was higher than that of X45 under salt and alkali stress. However, glycine betaine and soluble sugar content of L24 was lower than that of X45 under alkali stress. The REC and MDA content of L24 were lower than those of X45, however, the relative biomass, chlorophyll content, SOD, POD, CAT, and Pro were higher than those of X45. In conclusion, salt tolerant cotton cultivars may possess a superior protection effect by increasing antioxidant enzymes activity under salt and alkali stress.

A new error bound for the linear complementarity problem (LCP) of Σ-SDD matrices is given, which depends only on the entries of the involved matrices. Numerical examples are given to show that the new bound is better than that provided by García-Esnaola and Peña [Linear Algebra Appl., 2013, 438, 1339–1446] in some cases. Based on the obtained results, we also give an error bound for the LCP of SB-matrices. It is proved that the new bound is sharper than that provided by Dai et al. [Numer. Algor., 2012, 61, 121–139] under certain assumptions.

Davidia involucrata Baill. is a kind of tertiary paleotropical plant floristic relic species unique to China. This rare plant is disappearing due to poor adaptability and serious poaching. Davidia involucrata has been listed as a national first-level protected wild plant, a unique genus plant unique to China, a relic plant, and a well-known ornamental plant in the world. It is a national-level protected plant. In this study, the complete chloroplast genome sequence of D. involucrata was characterized from Illumina pair-end sequencing. The chloroplast genome of D. involucrata was 158,118 bp in length, containing a large single-copy (LSC) region of 87,329 bp, a small single-copy (SSC) region of 18,869 bp, and two inverted repeat (IR) regions of 25,960 bp. The overall GC content is 37.80%, while the corresponding values of the LSC, SSC, and IR regions are 36.0%, 31.6%, and 43.1%, respectively. The genome contains 132 complete genes, including 86 protein-coding genes, 38 tRNA genes, and eight rRNA genes. Phylogenetic analysis based on complete chloroplast genomes showed that D. involucrata and Camptotheca acuminate clustered together as sisters to other related species.

The objective of this study was to evaluate the effect of empowerment education on depression level and laboratory indicators of patients treated with hemodialysis.

In this paper, we explore the adoption of a chessboard polarization conversion metasurface (CPCM) for constructing a low-radar-cross-section (RCS), high-gain circularly polarized patch array antenna. The proposed CPCM is used as the CPCMs’ chessboard configuration, which consists of adjacent two-layer substrates that have three metallic models. Low RCS is achieved by 180° (± 30°) reflection phase variations of two adjoining PCMSs. Gain enhancement is achieved by adopting a Fabry–Pérot cavity constituted by a PCM and the antenna’s ground. The antenna with a CPCM that operates at X-/Ku-band, excited by the feeding network that is rotated sequentially, is measured and fabricated. The patch array antenna impedance bandwidth based on the PCM was measured as 3.3 GHz (9.5–12.8 GHz) with a 3-dB axial ratio bandwidth of 11.6% and a high gain of 13.4 dBiC (9.5–12 GHz), more than 2.5 dB higher when compared with a patch antenna without a PCM. In addition, the patch array antenna produced a useful wideband RCS decrease in the operational bandwidth from 9 to 13 GHz.

This paper introduces an effective solution for improving isolation in linear antenna array. The array is composed of three-element E-plane single feed patch antennas (the overall size is 0.59 λ0 × 1.02 λ0), which are closely placed with approximately 0.037 λ0, where λ0 is the free-space wavelength at 4 GHz. The decoupling structure consists of T-shaped and rectangular ring shaped defect ground structure (DGS) with six metal-vias. The decoupling mechanism is illustrated by investigating the current vector on the ground plane. The current distribution indicates that the decoupling structure along the outer edge of the radiation patch sever as coupling current converter to produce reverse current opposite to the direction of the ground coupling current, which transmits along the outer edge of the radiation edge. The measured results show that the enhancement in the isolation at 4 GHz is 10.8 dB for |S21|, 17.5 dB for |S23| and 16.6 dB for |S31|. After applying the decoupling structure, the 10-dB impedance bandwidth (3.95 - 4.04 GHz) of antenna 1 remains unchanged. Meanwhile, the 10-dB impedance bandwidth of the antenna, which is located in the middle of the three-element antenna array, increases by 86 MHz (from 114 MHz to 200 MHz). When the decoupling structure is loaded, the maximum gain only decreases by 0.12 dB (from 3.94 to 3.82 dB). The decoupling structure has the advantages of simple structure, easy processing, and independent design of the array, so it can be applied to multielement patch array, such as massive multiple-input multiple-output (M-MIMO) system.

The present situation and utilization mode of LF refining slag were investigated in detail for more than 30 typical iron and steel enterprises in China.It is found that the treatment method of LF refining slag is relatively simple, the utilization level is low and the waste of resources is serious.Meanwhile, LF refining slag is characterized by high optical basicity, high sulfur capacity, high sulfur distribution ratio, low melting temperature, and low viscosity.So LF refining slag could be recycled in smelting process, but sulfur enrichment is a restriction factor during the cyclic utilization.To solve this problem, the sulfur removal test and metallurgical recycling utilization of LF refining slag were carried out.The results show that sulfur in LF refining slag can be oxidized to SO2by O2, and it has good desulfurization result when blowing air into the slag at 1643 K and 1673 K.Sulfur removal at 10 min by blowing air is over47%, and over 90%at 60 min, and it can meet the sulfur content requirement of LF refining slag used for smelting process.Finally, a simple and efficient method of LF refining slag used for smelting process is proposed, which goes well with current steelmaking process.

Nanosized CuO particles were synthesized via precipitation method, and the crystalline sizes were controlled by adjusting different calcinations temperature. XRD result shows that the obtained samples exhibit CuO single phase structure, the crystalline sizes are 7.5, 14.4nm and 23.4nm respectively. Then Mg2Ni-Ni-5%CuO composites were obtained through ball milling technique, the electrochemical hydrogen storage properties, kinetic performances and the activation energies of hydrogen desorption were tested and analyzed. The results show that the maximum discharge capacities and the electrocatalytic activity on the surface and the diffusivities of H in the bulk of the Mg-based composites electrodes are improved by adding the nanosized CuO catalysts. DSC measurement shows that the nanosized CuO catalyst leads to decrease in hydrogen desorption temperature by about 50K than that of composites without CuO. The activation energies of the composites of Mg2Ni-Ni and Mg2Ni-Ni -5% CuO600,which are calculated by Kissinger formula, are 86.9kJ/mol and 89.3kJ/mol respectively.

This meta-analysis aims to evaluate the effects of traditional Chinese medicine (TCM) nursing combined with conventional nursing in patients with chronic obstructive pulmonary disease (COPD).

Aiming at the shortage that the workspace of planar parallel mechanism with two degrees of freedom is small,a 5 R mechanism of variable drive layout of large workspace is presented. On the basis of kinematics analysis,3 D kinematics simulation analysis model of parallel mechanism is built by using the SolidWorks. The motion trajectory and workspace of the parallel mechanism are solved by changing the motion parameters of cranks in the environment of Motion analysis. The forward solution analysis is completed. In addition,the kinematics experimental platform of parallel mechanism is built. The required trajectory can be drawn in Solid Works. Two servo motors’ speeds of any time can be obtained by inverse solution of Solid Works. Combined with the motion control functions,the running program of PC is written. The servo motors are controlled by PCI-DMC-F01 motion control card. Therefore,the end effector can move along the desired trajectory. The experimental trajectory and workspace are in accord with the results of the forward and inverse solutions. The experimental results show that the forward and inverse solution of 5 R mechanism is correct and feasible. In addition,on the basis of it,the application example of parallel mechanism with large workspace is provided. This research has reference value for the engineering application of 5 R parallel mechanism.

Aiming at the situation that the robot is multi-driven and has complex kinematical characteristics and control system,a waist structure of robot with dodge function is designed,which has the characteristics of single-drive,multi-degree of freedom,simple structure,accurate and easy motion classification. The kinematical principle of the structure and the selection of the relevant initial parameters are introduced and the coordinate transformation matrix of the upper body under different conditions is obtained by Denavit-Hartenberg（ D-H） method. The positive and inverse solutions of the robot are obtained. Finally,the three-dimensional model of the structure is built,the model is simplified and imported into ADAMS software for kinematics simulation analysis and the results are verified by experiments.

In this paper, a novel polarization conversion (PC) structure is introduced, and its use with a wideband, wide 3-dB axial-ratio (AR) beam, low-radar-cross-section (RCS) circular polarization (CP) slot antenna is suggested. The unit cell of the proposed PC metasurface (PCM) consists of square and L-shaped patches separated by an L-shaped slot printed on an FR4 substrate. The mechanisms for linear to circular polarization and bandwidth improvement of a conventional antenna are analyzed theoretically. Through numerical optimizations and parametric studies, a simulated 10-dB impedance bandwidth of 42.7% (4.15-6.4 GHz) and a 3-dB AR bandwidth of 26.2% (4.8-6.25 GHz) are achieved by the proposed antenna. As the simulation demonstrates, the proposed antenna achieves an average 20-dB RCS reduction in a wide band from 5.25 to 6.8 GHz compared with a conventional slot antenna covered by the PC band. In addition, compared with the previously reported work, the PCM-based CP antenna exhibits a larger 3-dB AR beam width of 200° in the xoz plane and 120° in the yoz plane, and a wider CP bandwidth within the operational bandwidth. Finally, an overall volume of 0.55λ0 × 0.55λ0 × 0.05λ0 centered at 5.275 GHz is fabricated and measured, demonstrating good agreement with the simulation results.

Objective: To evaluate the diagnostic accuracy of dual-source CT (DSCT) prospective ECG-triggering coronary angiography in patients with different heart rate (HR).Methods: 103 patients with suspected coronary artery disease underwent DSCT prospective ECG-triggered coronary angiography and invasive coronary angiography (ICA). The patients were grouped by HR during CT scans: low HR (≤60 bpm, n = 34); medium HR (60 < HR ≤ 70 bpm, n = 36) and high HR (>70 bpm, n = 33). The sensitivity and specificity of DSCT in detecting ≥50% stenosis were compared among subgroups where ICA was the gold standard. Image quality was scored using a 4-point scale.Results: A total of 1,580 (95.9%) coronary artery segments were evaluable. Sensitivity and specificity were 82.8% and 98.4%, 88.3% and 98.7%, and 80.3% and 98.6% for different subgroups (all p > 0.05). The overall area under the curve of the receiver-operating characteristic analysis was 0.94. The image quality scores were 3.1 ± 0.3, 3.1 ± 0.3 and 3.0 ± 0.4 for subgroups (p > 0.05). The overall average effective radiation dose was 3.60 ± 1.60 mSv.Conclusion: DSCT coronary angiography with prospective ECG-triggering could be just as accurate in patients with medium to high HR compared to those with low HR. [ABSTRACT FROM AUTHOR]

The Ni-5%RExOy (CeO2, La2O3, Eu2O3) as composite additives, Mg2Ni-Ni-5%RExOy composites were prepared by the ball milling method. The effects of different additives on the structure, morphology, electrochemistry and kinetic properties of Mg2Ni alloy were studied systematically. The results show that composite additives can improve the proportion of amorphous and nanocrystalline structure of Mg2Ni alloy. The particle size is homogeneous but the agglomeration is observed in the sample with Ni-5%CeO2 additives. The composites with additives show higher maximum discharge capacity and better cycle stabilities. All of these three kinds of composite additives can improve the kinetic properties of the composites effectively, including optimizing the charge-transfer ability, the reversibility of the electrochemical reaction on the alloy surface, and enhancing the diffusion coefficients of H atoms in the bulk of alloy. Among these three kinds of additives, Ni-5%CeO2 additive shows the best catalysis effect on promoting the kinetic properties of the composites.

This paper presents a branch-delete-bound algorithm for effectively solving the global minimum of quadratically constrained quadratic programs problem, which may be nonconvex. By utilizing the characteristics of quadratic function, we construct a new linearizing method, so that the quadratically constrained quadratic programs problem can be converted into a linear relaxed programs problem. Moreover, the established linear relaxed programs problem is embedded within a branch-and-bound framework without introducing any new variables and constrained functions, which can be easily solved by any effective linear programs algorithms. By subsequently solving a series of linear relaxed programs problems, the proposed algorithm can converge the global minimum of the initial quadratically constrained quadratic programs problem. Compared with the known methods, numerical results demonstrate that the proposed method has higher computational efficiency.