Pressure drop plays an important effect on the performance of fiber filter-stick, and is determined by the materials and geometry structure. In order to develop a method to design and guide the production of the fiber filter, the multiple regression method uses the density of fiber tow, length, and circumference of the sticker as the argument to train the pressure drop model based on the production data. The fiber filter is modeled as multizone represented as the fiber tow and the forming paper. The flow dynamics in these zones are simulated based on the porous media model. The osmotic coefficients represent the pressure drop in the zone packed with the fiber tow. The simulation results show that the pressure drop is positively correlated with the length of the fiber rob, and the type of filter tow has a greater influence on the pressure drop than the circumference. For the design of the fiber filter, the regression model is first used to obtain the consumption of the fiber tow based on the design pressure drop. Then the simulation based on the porous media model is carried out to validate the prediction. If the error between the two methods is within 10%, this predicted fiber stick can be produced. By analyzing the production data and the prediction from models, it is concluded that the method proposed in this work is sufficient to direct the design and production.

In recent years, important progress has been made in the lithologic trap exploration of the Lower Cretaceous Yageliemu Formation in the Yakela fault convex and its surrounding areas in the Tarim Basin, in order to clarify the sedimentary facies distribution law of the clastic rock reservoir of Yageliemu Formation in this area, and promote the efficient exploration and development of the clastic rock reservoir. Based on an integrated analysis of core samples, well logging data, and 3D seismic surveys, the sedimentary facies types and spatial distribution patterns of the Cretaceous Yageliemu Formation in the Yakela fault convex and its surrounding areas in the Tarim Basin were investigated. Furthermore, under the framework of source-to-sink system theory, the controlling effects of source area characteristics on fan delta development were systematically examined. The results show that fan delta group deposits are developed in the Yageliemu Formation in the Yakela fault convex and its surrounding areas. During the deposition period of the Yageliemu Formation, the ancient uplift in the Yakela fault convex area was obviously segmented, with a banded uplift in the NEE direction, with two bulges in the east and west, and a low terrain in the middle. Based on the analysis of source-sink system, it is clear that the sediment source of the fan delta group is from the weathered denudation area of the ancient uplift, and the multi-branch ancient gullies provide sediment transport channels for the fan delta Group. It can be seen that paleogeomorphology and gully development characteristics control the sour-sink system of Yageliemu formation in the Yakela fault convex and its surrounding areas, forming a sedimentary pattern with multiple sources supply. The western ancient uplift is mainly characterized by high uplift and large gully area,the eastern section is mainly characterized by low uplift and small gully area. The development scale of gullies in provenance area controlled the distribution scale of deltaic sediments around ancient uplift. The gentle slope fan delta sedimentary system developed in the south of the ancient uplift, and the steep slope and gentle slope fan delta sedimentary system developed in the north. The analysis of source-sink system reduces the uncertainty of sedimentary facies study of Yageliemu Formation and can provide more geological basis for oil and gas exploration.

In order to address a series of safety management issues involved in low-altitude economic development, the technical routes and principles of low-altitude economy as well as the operational experience of implementation plans are summarized, and four universal construction plans for low-altitude security and protection are analyzed, namely the radar and integrated perception technology fusion plan, the broadcast automatic dependent surveillance technology plan, the remote identification technology plan, and the multi-source fusion plan based on TDOA radio technology. On this basis, an evaluation index system for unmanned aerial vehicle detection technology was constructed, and a multi-attribute evaluation method based on DEMATEL and TOPSIS was established. The results show that the multi-source fusion plan based on time difference of arrival (TDOA) is an effective and universal solution for building a low-altitude security system in cities. It is concluded that the construction of a low-altitude security system is a systematic project, which requires the joint efforts of governments, enterprises and the whole society. Integration is needed at the levels of technology, data and operation to meet the future development needs of the low-altitude economy.

In order to study the effect of different scanning strategies on laser deposition of nickel-based alloy matrix, the process of deposition of IN718 alloy powder on IN718 alloy matrix under four different scanning strategies was numerically simulated by ABAQUS software, and tested under the same conditions. The heat source verification results show that the heat source model is accurate and effective, and the numerical simulation process accords with the actual deposition process. The analysis results of temperature field, stress field and deformation field show that the thermal influence of different side scanning is less than that of same side scanning and reciprocating scanning is lower than that of unidirectional scanning, and the peak temperature is lower, thus the residual stress is lower, and the deformation degree of the matrix can be effectively reduced. The experimental results show that the numerical simulation process is accurate and effective. It is concluded that the residual stress value and deformation can be reduced effectively by using the reciprocating scanning method on different sides.

Vehicle performance and energy efficiency can be significantly enhanced by PGS-FHEP (planetary gear set based flywheel hybrid electric powertrain). The main components were designed and matched, and DP (dynamic programming) control strategy was introduced based on ECMS (equivalent consumption minimization strategy) to obtain the optimal SOC (state of charge ) trajectory. The initial optimal equivalent factor obtained by GA (genetic algorithm) was adjusted in real time to ensure that the actual SOC trajectory is consistent with the optimal trajectory. Thus, a real-time A-ECMS (adaptive equivalent consumption minimization strategy) was built, and the three control strategies were simulated and compared under CLTC-C (China light-duty commercial vehicle test cycle) condition. The results show that under the control of A-ECMS, compared with the traditional ECMS, the comprehensive energy consumption of FHEV (flywheel hybrid electric vehicle) equipped with the PGS-FHEP is reduced by 2.51%, and the control effect is closer to the DP control strategy. The energy recovery rate of the PGS-FHEP is 57.72%, of which 23.64% is recovered in the form of mechanical energy. In addition, the participation of the flywheel significantly reduces the peak power of the battery during energy recovery process.

Under the overarching vision of Healthy China, the imperative to investigate the design of health-oriented streets has gained paramount importance, aligning with the humanistic and sustainable evolution of urban landscapes. Addressing the limitations of existing health street evaluation methodologies marked by intricate indices, misalignment with the current state of China’s streetscapes, and a dearth of quantitative scrutiny, exploratory factor analysis was employed to distill latent variables. Through a structured approach encompassing health questionnaire analysis, structural equation modeling, and the quantification of health determinants, the research localizes health parameters and constructs a robust, quantifiable evaluation framework for street health. The analysis uncovers that four latent variables demonstrating significant positive correlations with street health outcomes, listed in descending order of influence magnitude: street quality improvement, accessible transportation provision, vibrant block development, and healthy environment promotion. The structural equation model-based quantitative analysis of street health elements furnishes scientific and empirical underpinnings for the development of superior health-conscious urban blocks. This methodological advancement not only refines the precision of street design geared towards health but also elevates the living standards of residents, thereby contributing to the realization of Healthy China’s aspirations.

Utilizing the PyroSim numerical simulation method, a comprehensive study was conducted to investigate the mechanism of the smoke pull-through phenomenon in a top-central exhaust system under conditions of counter-flowing jets, with a focus on the effects of various exhaust powers. Changes in smoke layer thickness, temperature distribution, and airflow velocity within tunnels were investigated under conditions of enhanced exhaust efficiency. Critical exhaust efficiency thresholds associated with smoke pull-through phenomena were identified across varying heat release rates of fire sources. Furthermore, the critical Froude number for smoke pull-through in centralized exhaust systems was established under counter-flowing jet conditions, along with the critical exhaust rate coefficient required to prevent such occurrences. The findings revealed that as the exhaust power increased, the exhaust port R3, located farthest from the fire source, was the first to experience smoke pull-through, followed by R2, while R1 remained unaffected. An increase in the heat release rate of the fire source led to a corresponding rise in the critical exhaust power threshold for smoke pull-through. A moderate increase in exhaust power could improve exhaust performance; however, exceeding a specific critical value would trigger smoke pull-through, thereby reducing exhaust efficiency. At heat release rates of 20 MW, 30 MW, and 50 MW, the critical exhaust powers were identified as 80 m³/s, 100 m³/s, and 150 m³/s, respectively, with optimal exhaust powers of 50 m³/s, 70 m³/s, and 110 m³/s. Furthermore, the critical Froude number for smoke pull-through was determined to be 35, and the critical exhaust rate coefficient was 0.8.These findings provide a theoretical basis for optimizing the design of exhaust systems, enhancing efficiency, and promoting energy conservation.

ABR(auditory brainstem response) is an objective method for detecting hearing loss, which is widely used in clinical practice, and its waveform characteristics are influenced by stimulus parameters. There are stimulus artifacts in ABR measured using unipolar stimulus, and alternating polarity is currently the only way to eliminate stimulus artifacts. However, considering the physiological differences in the effects of stimuli with different polarities on the auditory system, alternating polarity stimuli may lead to latency jitter in the induced ABR. Therefore, a new method was proposed to eliminate stimulus artifacts-the method of division and sum polarity, which first used positive and negative stimuli separately and then superimposed the two responses induced. The subjects with normal hearing were recruited, and their data that the click ABRs under four polarity ways (positive polarity, negative polarity, alternating polarity, division and sum polarity), as well as the tone-burst ABRs at five frequencies under two polarity ways (alternating polarity and division and sum polarity) were compared, with a focus on their waveform differentiation and latency differences. The results show that the difference in click ABRs under different polarity ways is insignificant, indicating that it is not sensitive to stimulus polarity. The waveform of low-frequency tone-burst ABRs is better under division and sum polarity than under alternating polarity, indicating that the low-frequency tone-burst ABR is more sensitive to stimulus polarity, and the sensitivity decreases with the increase of stimulus frequency. Based on the analysis of the above results, it is recommended to use unipolar stimulus for the click ABR, and the division and sum polarity method for the tone-burst ABR. The feasibility of the division and sum polarity method is validated in this study, which provides a new approach for eliminating stimulus artifacts when measuring evoked potentials.

The Unmanned aerial vehicles three-dimensional path planning problem is a combinatorial optimization problem to find the optimal path between the starting point and the endpoint in complex three-dimensional environment, but most path planning algorithms struggle to find feasible paths within acceptable time and precision range, therefore, a dynamic multi-subswarm salp swarm algorithm based on K-means++ clustering optimization was proposed to address the aforementioned issue. Firstly, a new cost function incorporating height cost was proposed within the three-dimensional environment model. The path planning problem was converted into a multi-dimensional function optimization issue. Secondly, the population was clustered using the K-means++ clustering algorithm, and a dynamic multi-subswarm mechanism was designed to balance the algorithm's global search and local exploitation. Each subswarm collaborates with multiple strategies for improvement, avoiding the algorithm from being trapped in local optima while enhancing global optimization capability. Finally, after validating the algorithm against five algorithms ISSA, MSNSSA, IBSO, MBFPA, and SSA using 12 CEC2017 benchmark test functions, it was applied to solve the optimal path planning problem in three-dimensional environments. Simulation results under different environmental models demonstrate that the algorithm's average effective path rate is increased by 15.5%, 11%, 23%, 20.5% and 18% compared to the other five algorithms, confirming its excellent optimization capability in complex environments.

To achieve the integration of renewable energy utilization and CO₂ emission reduction technology, high-temperature gas field geothermal resource extraction was conducted via the CO₂ plume geothermal system, which merges the benefits of CO₂ sequestration with deep geothermal resource development, facilitating the concurrent sequestration of CO₂ during thermal extraction. Taking a high-temperature gas field as the target thermal storage, a three-dimensional thermal flow coupling model of cap rock thermal storage bedrock was constructed using COMSOL software to analyze the thermal compensation effect of the rock mass on both sides of the thermal storage and the relationship between the number of production wells and the system's thermal recovery performance. The findings indicate that during the advanced phases of the plume geothermal system's operation, when thermal compensation is considered, the fluid's temperature decline rate diminishes, resulting in an enhanced heat extraction rate and a greater heat extraction resource, while the thermal storage extraction degree is reduced, thereby extending the system's operational lifespan. It was discovered that increasing the number of production wells resulted in a smaller production fluid temperature decline. The operation of a CO₂ plume geothermal system demonstrates that the thermal compensation effect of cap rock and bedrock on thermal storage, along with an increase in the number of production wells, can extend the system's lifespan, offering theoretical insights for the optimisation and practical implementation of CO₂ plume geothermal systems in the future.