bluuebunny/crossref_metadata_2025_split huggingface dataset:
Flow Characteristic Study on Wake Flow of High-speed vehicles
Authors: Zhou Guiyu , Zhang Jie , Yang Yueyue , Chen Hongyang , Mo Tao , Liu Liang , Jia Chuan , Jiang Anlin , Chen JianJun , Cui Pengcheng 
Published: October 2023

Abstract
Based on the general CFD software NNW-FlowStar of national numerical wind tunnel engineering, this paper adopts anisotropic unstructured hybrid mesh to simulate the wake field characteristics of aircraft in high-speed flight. NNW-FlowStar software in high resolution numerical format, gaussian type node gradient calculation method, massively parallel and a series of numerical algorithm in terms of development and improvement to ensure the fine simulation of the hypersonic flow field. The numerical method can clearly aircraft wake flow field, the main shock, the corner expansion area, shear layer and the shock wave, clearly shows the wake flow field structure. With the increase of Mach number, the wake flow is getting more and more strong, the backwater area range is more and more small, after the stagnation point, the shock wave is also much greater compressibility.
A fractional derivative aerodynamic model at high angles of attack
Authors: Yu Jing , Wu Xiaojun , Liu Shenshen , Kong Yinan , Hao Dong 
Published: October 2023

Abstract
A fractional derivative aerodynamic model is put forward based on Grünwald-Letnikov fractional derivative in this paper. In order to express the hysteresis property of aerodynamic coefficients, a fractional derivative state-space equation is developed from Goman’s differential equation. A fast and high-accuracy calculation method of Grünwald-Letnikov fractional derivative is proposed. Then, the model is demonstrated by several experiments data from literatures. The simulation results show that the presented fractional derivative aerodynamic model can preferably express the nonlinear unsteady aerodynamic characteristics of airfoils and aircrafts. The proposed modelling framework is meaningful to the designation of flight and control system.
Experimental study on wake interference characteristics of horizontal-axis wind turbine
Authors: Li Bingbing , Cai Gaoyuan , Zhang Yiheng , Liu Liqun , Zhang Zhenpeng , Zhang Huiguang 
Published: October 2023

Abstract
To investigate the flow field distribution under the interference of multiple wind turbine wakes, two different types of ground-based LiDARs were used to conduct wind measurement experiments in a wind farm. Taking the wake field distribution characteristics of two wind turbines as an example, combined with wind measurement data, the complex wake interference flow field is classified into three typical interference conditions: non-wake, partial wake and full wake. And the wake development characteristics under the above three wake conditions are quantitatively analyzed. The results show that under the condition of non-wake interference, the wakes are independent of each other, the wake recovery rate is basically the same. Under partial wake and full wake interference conditions, the wake center recovery rate of the downstream wind turbine decreases, and the wake recovery rate drops most obviously under the full wake interference condition.
A fast evaluation method of surrogate model based on active subspace dimension reduction
Authors: Lv Luogeng , Liu Xiao , Hu Xingzhi , Zhang Chao , Chen Jiangtao 
Published: October 2023

Abstract
Aimed at the problem of high-dimensional uncertainty quantification commonly existing in engineering complex shapes, traditional methods are often time-consuming and energy-consuming. So the paper proposes an efficient surrogate model method based on active subspace dimension reduction. The method uses active subspace to achieve feature dimension reduction and construct surrogate model, and develops a fast evaluation method of 1-D active subspace based on polynomial least squares decomposition to solve the difficult derivative problems. The detailed implementation process of the method is given in the paper, and the feasibility of the method is verified by examples such as the ablation thermal response and RAE2822 airfoil. It provides a solution for the quantification of multivariate uncertainty in engineering.
Hierarchical structure analysis in verification and validation of aerodynamic numerical simulation
Authors: Zhang Chao , Shen Yingying , Xiao Wei 
Published: October 2023

Abstract
Verification and validation is a basic way to ensure the credibility of numerical simulation. The realization of verification and validation of aerodynamic numerical simulation requires scientific and rigorous processes. At present, long-term research on verification and validation at home and abroad has summarized the whole verification and validation process into four stages: problem analysis, verification, validation and credibility evaluation. In each stage, it is of great significance to use the hierarchical structure to sort out key information and clarify tasks. This paper summarizes the application of hierarchical structure in the verification and validation process, and gives examples of aerodynamic numerical simulation with application value.
Numerical Study of the Pin Fin Types on Combustion Characteristics of Micro Combustor
Authors: He Ziqiang , Zhang Lei , Huang Song , Wang Fei , Zhang Longyi , Lv Xiao , Li Xiuquan 
Published: October 2023

Abstract
The influence of different shapes of pin fin arrays in micro combustors on combustion performance is investigated numerically. All the micro combustors show a high combustion efficiency and the one with triangle-B pin fin arrays exhibits superiority in combustion efficiency. Additionally, the combustor efficiency of all micro combustors is relatively low and reduces as the velocity increases. This works provides a great reference and guidance for the development of the micro burner in MTPV system.
Study on Hydrogen Flow and Heat Transfer in Underground Salt Cavern Hydrogen Storage
Authors: Zhang Yi , Yang Lihong , Huang Wei 
Published: October 2023

Abstract
Hydrogen energy is a green, low-carbon, widely used secondary energy with abundant sources, and is gradually becoming one of the important carriers of energy transformation. The safe and efficient storage of hydrogen energy is particularly important. Underground hydrogen storage technology has received widespread attention due to its large scale and low comprehensive cost. Salt cavern hydrogen storage has good sealing performance, stable structure, and flexible operation, making it the most promising choice for large-scale underground hydrogen storage. According to the thermodynamic characteristics of hydrogen, a heat transfer model of hydrogen flow in salt cavern hydrogen storage is established. Three operating conditions, namely, hydrogen injection, static state, and hydrogen production, are simulated and calculated, and the flow field characteristics of hydrogen under different operating conditions are determined, providing technical support for the research on the design of hydrogen injection and production schemes for salt cavern hydrogen storage.
Research on the engineering application of leakage diffusion theory based on finite volume method in LNG pipeline
Authors: Zeng Chunlei , Gao Yuan 
Published: October 2023

Abstract
In order to provide theoretical reference for the volume design of the terminal sump, this paper analyses the physical process of leakage and evaporation at the LNG terminal using. Combined with the theory of orifice leakage and evaporation diffusion and the actual project scenario, the corresponding mathematical model is given. From qualitative analysis, the main factors affecting LNG leakage and evaporation diffusion are given. The mathematical model is applied to engineering practice, and a large number of calculations are carried out to give the quantitative relationship between leakage, evaporation and diffusion and various influencing factors. Through research, it is found that the leakage of LNG is far greater than the evaporation on the wharf. When designing the volume of the sump, the evaporation of LNG on the wharf can be ignored. According to the leakage model of the pipeline orifice, the credible leakage volume in line with the actual project can be obtained.
Simulation study on flow and response temperature of armored vehicle in low temperature environment test
Authors: Liu Zhenting , Zhang Baojun , Wang Guohong , Li Shuang 
Published: October 2023

Abstract
In this paper, three-dimensional CFD simulation and vehicle’s environmental test were combined, according to the size and operating parameters of the actual environmental test chamber, a model of the low-temperature environmental test chamber was constructed by using 3D modeling software; by removing the structure that has little influence on the process of environmental experiment, a three-dimensional vehicle model suitable for simulation calculation is built, and by means of 3D model assembly, the combination of vehicle and environmental chamber model is realized. According to the low temperature environment test conditions, CFD numerical simulation method was used to analyze the flow velocity distribution in the test chamber and the response trend of each chamber to the low temperature environment, the results were also compared with the experimental data of low temperature environment, which provides a theoretical basis for carrying out simulation and prediction research based on digital environment test.
Effect analysis of centrifugal pump parameters optimization design on performance
Authors: Sun Xiaoyan , Zhu Rensheng , Wang Jiangjie , Li Yuan 
Published: October 2023

Abstract
Under the background of energy-saving priority and efficient use of energy, centrifugal pump, as a kind of energy conversion equipment in modern industry and agriculture with liquid as the medium, plays an important role in many occasions. Optimization of performance parameters of centrifugal pump can improve efficiency and save energy. Important parameters include the number of blades and structural optimization of blade tail, etc. These parameters are often selected according to experience in actual production, which lacks accuracy and persuasiveness. The influence of different blade numbers and structural designs on cavitation performance and efficiency of the pump is studied, and the characteristic curve of the pump is drawn. The blade performance is evaluated comprehensively according to the pressure distribution, flow condition, cavitation degree and velocity diagram under different blade numbers, and the conclusion is drawn. The efficiency of the four-blade pump is 6.96% higher than that of the original six-blade pump, 1.96% higher than that of the three-blade pump, and 5.11% higher than that of the five-blade pump. The optimization results are obvious, which provides reference for the determination and setting of the number of centrifugal pumps.
Experimental study on vibration and noise of throttle valve in water-conveying systems
Authors: Qin Ziming , Cai Biaohua , Xiao Longzhou 
Published: October 2023

Abstract
In the water conveying system, the throttle valve has a great impact on the vibration and noise, which needs to be controlled. In this paper, a noise test bench for throttle valve in water conveying system is established. The vibration, air noise and flow noise are measured under different pressure differences and flow rates for throttle valves with different structures and diameters. The results show that the throttle valve vibration and air noise increase with the increase of pressure difference and flow when the noise is above 70 dB(A). When the pressure difference is more than 0.5MPa, the flow noise of ordinary ball valve is mainly in the high frequency range. The vibration, noise and pipeline flow noise of the low-noise valve with multistage throttling are significantly reduced, and the flow noise is mainly in the low frequency band below 315Hz. The pipe flow noise in front of the throttle valve is broadband which decreases with the increase of frequency. Increasing the pressure behind the throttle valve can reduce the valve vibration under the same pressure difference.
Shape optimization of the spillway approach channel of Baleh Hydropower Project based on numerical simulation
Authors: Zhang Wenjiao , Hu Nengming , Yang Yiyi , Wang Zhongmei , Zhao Xing 
Published: October 2023

Abstract
Baleh Hydropower Project has a protruding headland between the spillway inlet and the power intake structure. Based on the results of the model tests, the velocity gradient near the protruding headland under high flow conditions is large and an unstable vortex occurs. To address the unfavorable flow problems of the original spillway approach channel, this paper simulates the original spillway approach channel using a three-dimensional turbulence numerical model and verifies it with the model tests, and provides numerical simulation results for two optimized cases: excavation and backfilling. The calculation results show that both backfilling and excavation optimization cases improve the right side flow pattern, the unstable vortex disappears, and the flow between the approach channel and the spillway inlet is smoother than the original design. Comparing the two optimized cases, the average flow velocity in the upstream section of the approach channel of the excavation case is reduced, but the flow velocity near the right bank of the approach channel close to the spillway gate bay inlet becomes larger, and the average flow velocity of the excavation modified case is more unevenly distributed.
Nanofilm-enhanced electrochemical DNA sensing: a breakthrough for yellow rust detection in wheat
Authors: Rehsawla Rizwana , Dhull Nidhi , Tomar Monika , Sharma Savita , Yadav Neelam R 
Published: October 2023

Abstract
This study showcases the development of a genosensor utilizing a nanoscale NiO thin film. The genosensor is constructed on a glass substrate coated with tin-doped indium oxide (ITO) and is designed for the specific detection of DNA sequences associated with Puccinia striiformis f. sp. tritici (Pst), the causal agent of wheat yellow rust. The detection process relies on the utilization of methylene blue (MB) as an electrochemical indicator, with NiO acting as the matrix and the electrochemical measurement system serving as the transducer. Various single-stranded DNA oligonucleotide sequences related to Pst pathogenesis are employed as probes to enable sensing. The electrochemical response of the nanoscale bioelectrode is characterized and studied using two distinct electrochemical techniques, cyclic voltammetry (CV) and differential pulse voltammetry (DPV), in conjunction with a potentiostat. The detection ranges spans from 40 pg μl−1 to 115 ng μl−1, demonstrating a linear correlation with exceptional precision. The absence of DNA-based biosensors for the detection of Puccinia striiformis f. sp. tritici (Pst) has prompted the need for a new method to address the limitations associated with previously reported technologies. Although surface plasmon resonance (SPR) immunoassays have been reported for Pst detection, the development of DNA-based biosensors specifically tailored for Pst detection remains unexplored. Introducing a novel method aims to overcome the challenges and shortcomings of existing techniques, providing a new approach to detect and combat the devastating effects of Pst on wheat crops. By leveraging the advantages of DNA-based biosensors, such as their sensitive and precise detection capabilities, this new method seeks to enhance the accuracy and efficiency of Pst detection, ultimately contributing to the development of effective strategies for disease management and crop protection. The developed nanoscale electrochemical DNA sensor offers outstanding sensitivity, extended shelf life, and reliable recovery, effectively minimizing the likelihood of obtaining erroneous results. A significant highlight of this study is the first-time utilization of conserved sequences associated with pathogenesis in selected Pst strains for the development of a nanoscale genosensor.
On geometric convergence for the Metropolis-adjusted Langevin algorithm under simple conditions
Authors: Oliviero-Durmus Alain , Moulines Éric 
Published: October 2023

SummaryWhile the Metropolis-adjusted Langevin algorithm is a popular and widely used Markov chain Monte Carlo method, very few papers derive conditions that ensure its convergence. In particular, to the authors’ knowledge, assumptions that are both easy to verify and guarantee geometric convergence, are still missing. In this work, we establish V-uniformly geometric convergence for the Metropolis-adjusted Langevin algorithm under mild assumptions about the target distribution. Unlike previous work, we only consider tail and smoothness conditions for the potential associated with the target distribution. These conditions are quite common in the Markov chain Monte Carlo literature. Finally, we pay special attention to the dependence of the bounds we derive on the step size of the Euler–Maruyama discretization, which corresponds to the proposed Markov kernel of the Metropolis-adjusted Langevin algorithm.
Enantiospecific response of Ips avulsus (Coleoptera: Curculionidae: Scolytinae) to ipsdienol depends on semiochemical context
Authors: Queffelec Joséphine , Gaudon Justin M , Miller Daniel R , McKenney Jessica L , Allison Jeremy D 
Published: October 2023

Abstract
Colonization of hosts by bark beetles is generally mediated by aggregation pheromones. Species competing for the same resource can limit interspecific interactions and maintain reproductive isolation by using different pheromones. In the southern United States, 3 sympatric species of Ips breed in pine hosts, each with a different pheromone blend. Ips avulsus (Eichhoff) uses ipsdienol and lanierone; Ips calligraphus (Germar) uses ipsdienol, cis-verbenol, and trans-verbenol; and Ips grandicollis (Eichhoff) uses ipsenol. Different species can also minimize cross-attraction by using different enantiomeric ratios of the same pheromones. Studies on the enantiomeric ratio of ipsdienol used by I. avulsus have come to contradictory conclusions in part because of geographic and seasonal variation. There is growing evidence that semiochemical context, in the form of different co-baits used in trapping experiments, may also play a role in the responses of I. avulsus to enantiomeric ratios of ipsdienol. We conducted a trapping study at 2 locations with traps baited with (+)-ipsdienol or racemic ipsdienol and co-baited with ipsenol, lanierone, or both ipsenol and lanierone. We found context-dependent effects of both lanierone and ipsenol on the response of I. avulsus to ipsdienol. We suggest that responses to different bait and co-bait combinations may have been shaped by different types of interactions such as the absence of conspecifics or a related species, or the presence of beneficial or antagonistic interspecific interactions.
Exploring Australian children’s perceptions of a school-provided lunch model using a story completion method
Authors: Coulls Elena , Middleton Georgia , Velardo Stefania , Johnson Brittany J 
Published: October 2023

Abstract
Children in Australia currently bring a packed lunch to school from home. Many children are not consuming a healthy diet at school. There is interest from key stakeholders (e.g. education and the non-government sector, food service and parents/caregivers) to transform the Australian system to a school-provided model to improve children’s diets, reduce parental burden and address food insecurity. To facilitate a successful transition to this system, it is important to consider the views of the children. We aimed to explore Australian primary school children’s perceptions of a hypothetical school-provided lunch model. To achieve this aim, we undertook a qualitative study using the story completion method. Twenty-one grade-five children, from one public primary school in South Australia, participated in a once-off data collection session. Children were given a brief story stem and asked to complete a story about a hypothetical school-provided lunch scenario. The story data were analysed using thematic analysis. Four main themes were generated: the eating environment, the food provided, processes of the mealtime and time. The desire for choice was an additional overarching theme that cut across all themes. Our study provides the first exploration of South Australian children’s perceptions of hypothetical school-provided meals. These insights can be used to co-design an acceptable school food system with children to create a positive eating environment that supports healthy eating habits they can carry forward into adulthood.
Singular spectrum analysis (SSA) based hybrid models for emergency ambulance demand (EAD) time series forecasting
Authors: Wang Jing , Peng Xuhong , Wu Jindong , Ding Youde , Ali Barkat , Luo Yizhou , Hu Yiting , Zhang Keyao 
Published: October 2023

Abstract
Accepted by: Konstantinos Nikolopoulos
One of the challenges of emergency ambulance demand (EAD) time series prediction lies in their non-stationary nature. We study this important problem and propose two hybrid forecasting models, which combine the singular spectrum analysis (SSA) time-series technique with autoregressive integrated moving average (ARIMA) parameterized multivariate forecasting. Both daily and hourly time series are studied. The non-stationary time series are decomposed into three eigentriples by SSA: trends, periodic components and residuals. Selection of the group boundary point of the periodic component is a key issue in the SSA method. We use spectrum analysis to compute a threshold for maximum information content of periodic components. ARIMA mean value prediction models are employed to forecast the trends, periodic components and residuals sub-series. Our research compares ARIMA and SSA-based hybrid models by considering the emergency dispatching departure records of six core districts in Guangzhou city from 1 January 2021 to 31 December 2021. Results show that the integrated SSA-ARIMA model performs best. SSA is a very effective pre-processing method for non-stationary time series prediction. The predictive accuracy of using a hybrid model for hourly EAD time series is higher than that for daily ones. Our discussion should be useful for improving EAD prediction in contexts others than that considered in our research.
Radiotracer Development for Fungal-Specific Imaging: Past, Present, and Future
Authors: Lai Jianhao , Wang Benjamin , Petrik Milos , Beziere Nicolas , Hammoud Dima A 
Published: October 2023

Abstract
Invasive fungal infections have become a major challenge for public health, mainly due to the growing numbers of immunocompromised patients, with high morbidity and mortality. Currently, conventional imaging modalities such as computed tomography and magnetic resonance imaging contribute largely to the noninvasive diagnosis and treatment evaluation of those infections. These techniques, however, often fall short when a fast, noninvasive and specific diagnosis of fungal infection is necessary. Molecular imaging, especially using nuclear medicine-based techniques, aims to develop fungal-specific radiotracers that can be tested in preclinical models and eventually translated to human applications. In the last few decades, multiple radioligands have been developed and tested as potential fungal-specific tracers. These include radiolabeled peptides, antifungal drugs, siderophores, fungal-specific antibodies, and sugars. In this review, we provide an overview of the pros and cons of the available radiotracers. We also address the future prospects of fungal-specific imaging.