bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spatio-temporal Evolution and Driving Factors of Carbon Dioxide Emissions from Energy Consumption in the Yellow River Basin
Authors: Kong Yawen , Liu Shuguang 
Published: April 2023

Abstract
Based on the data of 57 cities in the Yellow River Basin (YRB) during 2006-2019, this study analyzes its spatio-temporal evolution of carbon dioxide (CO2) emissions from energy consumption, and decomposes its CO2 emissions changes into five factors. The results indicate that: (1) The CO2 emissions in the Yellow River Basin has increased but did not reach the peak from 2006 to 2019, which showed a spatial distribution pattern of “high in the east and low in the west”, with Baotou city, Taiyuan city, Xi’an City, Zhengzhou City and Zibo city forming several high CO2 emission centers of different sizes and spreading to the periphery; (2) The CO2 emission center of gravity in the Yellow River Basin shifted to the southeast as a whole. Ningxia Hui Autonomous Region and Lanzhou city were the main engine provinces and cities to promote its shift. (3) The driving factors of CO2 emissions growth are economic development level, population size and energy efficiency, while industrial structure and clean energy utilization level (CO2 emission coefficient) factors restrained the growth of CO2 emissions in the Yellow River Basin.
Practice and Prospect of Water Right Reform in Inner Mongolia
Authors: Gao Lei , Zhao Qing , Bu Fenghu , Yan Lei 
Published: April 2023

Abstract
The Inner Mongolia has the courage to innovate in order to solve the imbalance and insufficiency of water resources in supporting and ensuring the development of water resources, sticking to the advanced concepts of supply-side structural reform, giving priority to water saving and giving full play to the role of market mechanism in water resources allocation, a new way to break the bottleneck restriction of water resources was explored. This paper combs the practice of water right reform in Inner Mongolia, analyzes the characteristics and effects of water right reform in Inner Mongolia, and puts forward the key direction of water right market construction in Inner Mongolia during the 14th five-year plan period.
Effect of Different Excipients on Fungal Flora during Aerobic Fermentation of Thermal Hydrolyzed Kitchen Waste
Authors: Wang Zhenhua , Wu Juan , Song Jianguo , Bai Jie 
Published: April 2023

Abstract
In this paper, a comparative study was conducted on the aerobic fermentation of kitchen waste pretreated by thermal hydrolysis and three different excipients, the dynamic changes of temperature and organic matter of kitchen waste after thermal hydrolysis were measured during aerobic fermentation with peanut shell, corn stalk and corn cob as additives, and high-throughput sequencing was performed on the samples of the three excipients in the high temperature fermentation stage to identify the dominant bacterial community in the high temperature region of different excipients. The results showed that the dominant bacterial communities of peanut shell, corn stalk and corn cob were similar at the phylum classification level. Among them, Ascomycota accounted for 97.68%, 99.55% and 99.98% in HS, YM and YX treatment groups, respectively, which means it was the absolute dominant fungal phyla in high temperature fermentation stage. At the level of genus classification, there were differences among the dominant bacterial genera in each group. The main bacterial genera in peanut shell treatment group were Aspergillus, unclassified_f__Dipodascaceae, Penicillium, unclassified_o__Sordariales, Candida and Diutina. The main bacterial genera in corn stalk treatment group were Candida, Aspergillus and Penicillium. The main bacteria in corn cob treatment group was unclassified_o__Sordariales. The percentage of saprophytic fungi in HS, YM and YX high-temperature treatment groups was 96.40%, 99.25% and 99.97%, respectively. Saprophytic fungi played a major role in the high-temperature fermentation stage.
Multi Agent County Energy Internet Project Contribution Evaluation Model
Authors: Tan Qingkun , Wang Junhai , Zhu Chunjie , Yin Jianbing , Wu Peng , Xu Hang , Tang Wei , Chen Lin 
Published: April 2023

Abstract
Energy Internet is an advanced form of modern power grid, representing the future energy development trend and direction. Judging the collaborative efficiency level of county energy internet participants and putting forward countermeasures to improve the efficiency of participants with low collaborative efficiency can strengthen the level of cooperation among participants and speed up the promotion speed of county energy internet. Firstly, the affecting factors of the planning are identified through interview, and the factor index system of county energy Internet is established. Secondly, the entropy weight method is used to determine the weight of each factor. Finally, taking the county energy internet as an example, this paper analyzes the contribution degree of collaborative efficiency of different participants.
Optimization of High Pressure Forming Parameters in Conical Tubes Based on Response Surface Method
Authors: Sun Dan , Wei Bin , Wang Shuqiang 
Published: April 2023

Abstract
The appearance of conical muffler improves the aerodynamic performance and acoustic performance of expansion chamber muffler. The inner surface of this type of pipe has variable section and continuous smoothness. The improvement of the manufacturing efficiency of such tubes is a key issue that needs to be addressed urgently today. To this end, a method of producing conical muffler tubes using a hydraulic expansion process is proposed, using which the weight of the conical muffler tubes can be reduced while the aerodynamic impact of the weld on the muffler tubes is eliminated thereby enhancing the fuel economy of the vehicle. The effect of internal pressure, taper ratio and friction coefficient on the forming results was investigated by using finite element simulation combined with response surface optimization for the hydraulic expansion process method.
Effect of Concentration on Shear Stress of Nanyang Expansive Soil Slurry
Authors: Ji Xianjun , Liang Ying , Cao Wenhao , Song Peng , Sun Xiaokang 
Published: April 2023

Abstract
The yield stress of mud is the basis for analyzing the flow and desilting of debris flow. Nanyang expansive soil mud was used as experimental materials, and the rheological curves of mud with different solid volume concentrations were obtained by using the stress scanning rheological experiment of Antonpa mcr702 rheometer. For Nanyang expansive soil slurry with different solid volume concentration, the change process of shear stress with shear rate is analyzed. According to the experimental results, the rheological process of Nanyang expansive soil slurry is divided into three stages: stress growth, stress attenuation and stress stability. The slurry concentration has obvious influence on the dynamic and static shear stress of mud.
Effects of Cementitious Material Content and Sand Ratio on Mechanical Properties of the Dry-Mixing Geopolymer Concrete
Authors: Zhu Jiayuan , Liu Yang , Wu Jie 
Published: April 2023

Abstract
The paper investigates the 7-day, 28-day and 56-day compressive & splitting tensile strength of thirty geopolymer concrete specimens using the dry mixing method. The cementitious material content, sand ratio, along with the water binder ratio were chosen as the variables. Influences of the parameters on the mechanical behavior of the dry mixing geopolymer concrete are discussed in the paper.
Vehicle-mounted Dual Liquid Hydrogen Cylinders Parallel Balanced Transport Experimental and Simulation Research
Authors: Guo Jing , Wu Haiming , Bu Yu , Gao Wanli 
Published: April 2023

Abstract
For heavy vehicle liquid hydrogen storage and supply system, the use of double liquid hydrogen cylinders to increase the supply of liquid hydrogen. When two liquid hydrogen cylinders supply liquid hydrogen in parallel, the flow resistance of the gas and liquid channels of the liquid hydrogen cylinders is difficult to achieve complete consistency, which makes the flow of the two liquid hydrogen cylinders in the process of hydrogen supply different, resulting in inconsistent liquid levels in the two liquid hydrogen cylinders. For this reason, a parallel balanced transport technology scheme of two liquid hydrogen cylinders was proposed. Two liquid hydrogen cylinders with identical size were used to supply liquid hydrogen, and a gas-line connecting pipe was used in the gas path of the liquid hydrogen cylinder to achieve the same pressurization pressure of the two liquid hydrogen cylinders. A regulating valve was used to realize the consistent flow of liquid route at the outlet of liquid hydrogen cylinders. Then, the experimental system modified with real liquid hydrogen cylinder was tested with water medium, and the correctness of the simulation results was verified by the test results. Finally, the simulation results show that the proposed method can ensure that the level difference of liquid hydrogen cylinders meets the requirements in the process of parallel supply of liquid hydrogen.
Location and Capacity Determination for Energy Storage System Involved in Compensating Voltage Sag
Authors: Chen Yun , Wang Jiayu , Feng Huan , Zhang Peng , Ni Luan 
Published: April 2023

Abstract
For the energy storage system participating in the grid voltage sag compensation service, a location and capacity determination method based on the joint compensation strategy of distributed energy storage systems and dynamic voltage restorer is proposed. Firstly, a two-layer siting and determining capacity model for distributed energy storage systems is established, with the upper layer aiming to minimize the installation cost of distributed energy storage systems and the voltage crossing cost of sensitive loads, and determine the optimal access point for energy storage system. The lower layer determines the optimal configuration capacity of the energy storage system by targeting the compensation cost of the energy storage system, the dynamic voltage restorer, and the voltage satisfaction of sensitive loads. Then, the arithmetic simulation with IEEE33 bus system shows that the proposed method can select a reasonable access point for energy storage system and reduce the configuration capacity.
Finite Element Analysis of Steel Strands Subjected to Transverse Impact
Authors: Jin HZ , Bu ZY , Qiu SL 
Published: April 2023

Abstract
In order to further understand the impact resistance of steel strand, a steel strand model was established using finite element software, and the damage process of steel strand by falling hammer impact was numerically simulated to analyze the cross-sectional stress change and damage pattern of steel strand during the process. Suitable element types and material properties were selected, and then the effect of different impact velocities on the response of the strand was studied. Finally, the accuracy of the finite element analysis was verified by comparing with the experimental measurement data, which led to a deeper understanding and knowledge of the response characteristics of the steel strand.
Study on Finite Element Simulation Method and Broken Sling Effect of Single Side Suspension Bridge with Curved Decks
Authors: Zhou GW , Qian CZ , Chen CP 
Published: April 2023

Abstract
As a new type of bridge structure system, the single side suspension bridge with curved decks has the characteristics of typical special-shaped bridge structure, and its forces are relatively complex. The slings are usually fragile components, and the breakage of the slings will affect the safety of the whole bridge structure. Based on a single side curved suspension bridge, the static and dynamic nonlinear models of the bridge were established by using ANSYS general finite element software. Based on the analysis of the parameters, the reasonable values of failure time of sling, the damping ratio of the bridge structure, the effect of the broken sling on the residual internal force, the tensile force of the main cable, the bending moment of the main beam and the vertical displacement are discussed. The results show that the effect of sling breakage increases with the decrease of sling failure time and structural damping ratio, and the effect of sling breakage on the internal force of the main cable is small, but it will cause a rapid increase of the internal force of the adjacent slings on the same side and the main beam.
Bond Strength Prediction Model of Ribbed FRP Bars in Concrete
Authors: Dong HL , Li DF , Yang J 
Published: April 2023

Abstract
The bond behavior of Fiber-Reinforced Polymer (FRP) bars is a critical factor in the mechanical performance of FRP rebar reinforced concrete structures, but until now, there has been limited research on the effect of rib forming process and geometrical features of ribbed FRP bars on the bond behavior, and no relevant provisions are incorporated into the current main design codes. In the paper, the spirally-glued FRP bar was taken into consideration, and bond test data were collected to investigate the main test parameters on the bond failure modes and bond strength. Greater emphasis was placed on the effect of rib forming process and geometrical features of such ribbed FRP bars on bond behavior. Results shown the macroscopic failure mode was pullout failure. More specifically, the spirally-glued FRP bar mainly exhibited shearing off of FRP bar ribs, and bond strength increased by increasing concrete strength. Spirally-glued FRP bars shown higher bond strength by increasing concrete cover which contributes to better confinement to FRP bars. Bond strength of spirally-glued FRP bars could be improved by increasing relative rib height hrd and FRP bar rib width ratio Fr. Multivariate nonlinear regression was adopted to propose a suitable formula to estimate bond strength. The calculated results by the proposed equation were in good agreement with the test results with greater accuracy than the current design codes. This is because the effect of rib forming process and geometrical features of FRP ribs on bond strength is accurately accounted in the proposed equation.
Fire Warning Algorithm based on Combining R-S Fusion Layer Images with Convolutional Neural Networks
Authors: Liu C , Zhou Z , Chen X H , Liu M Z 
Published: April 2023

Abstract
In order to overcome the problems of low detection rate and high false alarm rate of fire detection system, a video fire detection algorithm based on R-S weighted model and convolutional neural network is proposed. First, the R-S fusion layer image is obtained by RGB color space and HSI color space; Then, the convolutional neural network is used to construct the fire detection algorithm. During the training process, the extracted R-S fusion layer image is sent to the convolutional neural network for training. During the detection process, the test image is sent to the model for detection. The experimental results show that the method has more effective flame detection effect.
Seismic Analysis of Prefabricated Hollow Piers Connected by Grouting Sleeves
Authors: Ge JP , Xie S , Yan XF , Zhang T , Liu SD 
Published: April 2023

Abstract
Prefabricated piers with hollow sections can save concrete, which is one of the important ways to reduce carbon emissions. In order to study the mechanical performance of prefabricated hollow piers connected by grouting sleeves, three rectangular hollow-section bridge piers with different shear-span ratios were designed, and quasi-static loading tests were carried out to compare the failure modes of prefabricated hollow bridge piers and the influence of the overall mechanical performance. The research results show that: the existence of joints in prefabricated hollow piers will cause a certain pinch effect on its hysteretic curve; The increase of the shear-span ratio will improve the ductility and change the failure mode of the bridge pier, but the ultimate bearing capacity will decrease accordingly, and the overall stiffness of the hollow bridge pier will be significantly reduced. The problems that need to be paid attention to in different design states and the solutions are put forward. The performance of prefabricated hollow piers with grouting sleeves can meet the needs of operation and can be used as an alternative solution for prefabricated assembled viaduct piers.
Shaking Table Test for Seismic Isolation Performance of Adjustable Height Seismic Isolation Rubber Bearing
Authors: Wang H , Lin FJ , Xia ZH , Shi Y 
Published: April 2023

Abstract
To study the seismic isolation effect of adjustable height seismic isolation rubber bearing, a continuous girder bridge was subjected to a shaking table test study with full bridge scaling to compare the seismic isolation effects of plate rubber bearings, natural rubber bearings (LNR) and adjustable height seismic isolation rubber bearings under different types of seismic waves, loading directions and seismic intensities.The test results show that when the seismic intensity is small, the seismic isolation performance of the three types of bearings is relatively close. But when the seismic intensity is large, the seismic isolation effect of the adjustable height isolation bearing is better than that of the plate rubber bearing and LNR bearing. Adjustable height isolation rubber bearing can significantly reduce the acceleration of the bridge deck plate, shear force and bending moment in the bottom of piers.
Seismic Performance of Self-reset Piers Assembled with External Replaceable Energy Dissipation Rings
Authors: Shu J , Zhang YY 
Published: April 2023

Abstract
In order to improve the shear and energy dissipation capacity, this paper proposes a kind of external replaceable energy dissipation ring segment assembly self-reset pier. The ABAQUS platform is used to simulate the refined model of pier and energy dissipation device. Then the influence of different energy dissipation modes on the seismic performance of bridge piers is studied by pseudo-static analysis. Finally, the influence of different parameters of energy dissipation ring on the seismic behavior of bridge piers is analyzed. The results show that the capacity of shear resistance and energy dissipation of the pier with two energy dissipation lines is significantly higher than that of the pier without energy dissipation devices. Reducing the radius of energy dissipation ring can effectively improve the lateral bearing capacity and cumulative energy dissipation of bridge piers. The thickness of energy dissipation ring has little effect on the seismic performance of bridge piers. Increasing a pair of energy dissipation rings can increase the cumulative energy dissipation of bridge piers by 31.1%. Although the residual displacement of pier top increases, the residual displacement angle is still less than 0.5%.
Dynamic Responses of Spread Slab Beam Bridges Considering Inconsistent Road Roughness Conditions
Authors: Wu H , Jiang DQ , Zhang YY , Dai J , Jiang XF 
Published: April 2023

Abstract
In order to deeply study the dynamic response of a new type of low section short span bridge system, the numerical analysis of the extended plate girder bridge under the action of moving vehicles was carried out. In the study, the inconsistent road roughness conditions are considered, and the influence of vehicle speed on the influencing factors is discussed. The analysis results show that under various load conditions, the structural response of the outer plate beam is more critical. In addition, the amplification effect of external plate beam caused by consistent pavement roughness is greater than that caused by inconsistent pavement roughness. The torsional mode of the vehicle can be activated by the input excitation of inconsistent pavement roughness conditions, which should be handled carefully in the design.
Improved Transformer Based Hashing for Cased-based Pneumonia Retrieval
Authors: Liu Wei , Xu Da 
Published: April 2023

Abstract
The deep hash method has been proved to be the most effective nearest neighbor search technique in large-scale image retrieval. However, up to now, deep hashing in medical image retrieval has been dominated by convolution network architecture, such as Resnet. Inspired by Transformer, we integrate Transformer into the deep learning framework. Our framework is mainly composed of two main modules: (1) In order to solve the problem of big difference among different subclasses of medical image categories, the Transformer model is improved in this paper. The external attention is used to replace the self-attention in the original Transformer model, and the feature acquisition ability of the model is improved by capturing the correlation between samples. (2) In addition, in order to learn compact binary coding, we adopt Bayesian framework for end-to-end learning. We conduct experiments on ChestX-ray Pneumonia dataset, and compare the proposed algorithm with the commonly used depth hashing method. Experimental results show that the MAP values under different hash bit codes are better than the existing deep hash methods, which proves the effectiveness of the proposed method.
White Matter Segmentation in Brain MR Images of Premature Infants using Deep Learning Model
Authors: Liu W , Ye F , Wan XT , Zhao WH , Yan R 
Published: April 2023

Abstract
White matter injury is the most common form of brain injury in premature infants, which is highly associated with poor brain development. White matter segmentation in brain MR images is very important for early detection of brain injury in premature infants. In this paper, a deep learning based approach is proposed to segment the white matter region of premature infants. We retrospectively analyzed 63 preterm infants with gestational age < 37 weeks who underwent MRI examination. Firstly, the U-Net deep learning neural network model is used to automatically segment white matter, U-Net++ and ResU-Net are used as controlled experimental groups, and the Dice coefficient and Iou coefficient are used as evaluation indicators for white matter segmentation. In the above experiments, the U-Net network has the best experimental results. Segmenting white matter on the training set with a Dice coefficient of 0.90 and an Iou of 0.82, respectively. The test set was used to validate the performance of the proposed model, with a Dice coefficient of 0.83 and an Iou of 0.71, respectively. Secondly, we performed image binarization step on the segmented white matter, and used Gaussian filtering, flood filling and connected component analysis to process the automatically segmented white matter region, and finally obtain a white matter region with clear boundaries.
A Measuring Tool for Interrupt Latency Based on Linux
Authors: Shi Q , Chen LJ , Qiao Z 
Published: April 2023

Abstract
Linux has been used more and more in the field of industrial control and robot control, the non-real-time nature of the final human-computer interaction program may cause system performance impact in industrial production. Interrupt response time is an important indicator to measure the real-time performance of real-time operating systems. Accurate test data can be used as an evaluation index for selecting the real-time performance of the operating system. In order to improve the real-time performance of Linux, analyze real-time problems, and solve possible real-time bottlenecks, this paper designs a probe-type tool that can measure the interrupt response time, output the interrupt call stack, and analyze the reasons for high interrupts. By optimizing specific limited and high-latency paths, Linux can still maintain an acceptable range of latency for a long time under various high-load scenarios. After testing, the tool has good measurement accuracy, which provides a basis for developing real-time tasks and solving real-time problems.