Due to the rapid development of chemical industry,a large number of harmful volatile organic wastegases are produced.A series of pollution control technical strategies are put forward. Clarify the types of volatileorganic pollutants and analyze the potential problems of current pollution control; Considering the growth oflabor force and the improvement of total factor productivity, the emission of volatile organic pollutants ispredicted by using a computable general equilibrium model; Under different industrial operations, threetechnologies of adsorption desorption, catalytic combustion and low-temperature plasma photocatalysis are usedto degrade volatile organic pollutants, and the treatment of volatile organic pollutants is jointly completed byeliminating unorganized emissions and improving the basis of supervision. The results of case analysis show thatthe proposed technology reduces the concentration and total emission of volatile organic waste gas, has highpollutant removal rate, low anti pollution treatment cost and strong availability.

Sargassum Fusiforme polysaccharides (SFPS) are a natural bioactive product with broad biological activities and low toxicity. In this study, mouse ID8 ovarian cancer cells and mouse macrophage RAW264.7 cells were selected as the research subjects. Methods such as MTT assay, qPCR, and flow cytometry were employed to evaluate the direct antitumor activity of SFPS and its ability to polarize macrophages. The results showed that SFPS did not exhibit a significant direct inhibitory effect on the proliferation of ID8 cells. However, it significantly upregulated the mRNA levels of M1-type macrophage polarization markers. The polarized macrophages demonstrated a relatively slightly superior ability to induce early apoptosis in ID8 cells.

Gold nanowires (GNWs) are widely used due to their many excellent properties. Because of their good saturable absorption properties, they can be used in laser mode-locking technology. Using the idea of realizing saturable absorption using its properties of localized surface plasmon resonance (LSPR), the saturable absorber properties of gold nanocrystals and gold nanorod materials were studied, and it was found that they have good saturable absorption properties. In addition, the saturable absorber is the core component of the passive mode-locked fiber laser, and its performance characteristics will greatly affect the output of the laser. By studying the saturable absorption characteristics of GNWs in the 1.56 μm band, it was found that they exhibit good saturable absorption characteristics at the wavelength of 1560 nm, so they can be applied in the laser field.

In this paper, using popcorn as raw material, through the combination of low temperature carbonization, activation, high temperature carbonization and chemical modification, ordinary popcorn was successfully transformed into carbon material with high specific surface area and porous structure, showing excellent adsorption properties. Through the experiment, the experimental results were analyzed and discussed, and the optimum process conditions were determined as follows: low temperature carbonization temperature 300℃, carbonization time 3h; The concentration of activator KOH was 1.5mol/L. High temperature carbonization temperature 900℃, carbonization time 3h. Under the experimental conditions, the removal rate of modified popcorn porous carbon to acid lake blue A dye can reach 93%, and the removal effect is remarkable.This study not only provides an economical and efficient strategy for waste resource utilization, but also establishes the structure-activity relationship of food waste-derived adsorbents, offering new insights for industrial wastewater treatment.

In order to solve the dual challenges of high-dimensional feature redundancy and category imbalance in breast cancer risk prediction, this study proposes a new framework CARE-Net based on convolutional neural networks. The model optimizes data distribution by integrating SMOTEENN resampling technology. First, an unsupervised self-encoder is used to compress the features of mRNA, miRNA and DNA methylation data respectively to learn discriminatory low-dimensional embedding representations. Secondly, multi-genomic features are integrated through early fusion strategies, and feature screening is carried out based on correlation threshold analysis to effectively eliminate redundant features. Aiming at the category imbalance problem, SMOTEENN mixed sampling technology is introduced for data enhancement before model training. Finally, the classification prediction task is performed based on the optimized feature space. Experimental results show that compared with existing benchmark methods, CARE-Net shows significant advantages in key indicators such as Accuracy, F1 score and AUC value. Compared with classic machine learning methods, this method shows stronger robustness in dealing with feature redundancy elimination and category imbalance processing of multi-set data, and significantly improves the generalization ability of risk prediction models.

To address the problem of temperature in the automobile drying room being easily affected by disturbances during the painting process, this study investigates the fundamental working principles and control process of the Active Disturbance Rejection Control (ADRC) algorithm. An ADRC control program was designed and implemented based on the Siemens TIA Portal PLC platform. A dynamic model of the drying room was built using the Simulink platform, and real-time communication with the PLC was established via OPC technology. This enabled real-time simulation of the automobile drying room temperature control system. The temperature response curve of the drying room was collected and compared with that of traditional PID control. The results show that ADRC outperforms traditional PID control in both dynamic response speed and control effectiveness, demonstrating its practical value in solving complex temperature control problems in drying rooms.

In order to solve the problem that liquid water accumulates at the corner and end of the flow channel of the PEMFC cathode flow channel in the serpentine flow field, a three-dimensional steady-state non-isothermal serpentine flow field PEMFC model with sub-channel was established by using the fluid dynamics software FLUENT. The effects of sub-channel inlet positions and flow rates on the performance of PEMFC were analyzed when the total amount of oxygen was kept constant. The results show that the sub-channel design can significantly improve the water management and mass transfer capacity of PEMFC, and the performance is optimal when the sub-channel inlet positions is 10 % and the flow rates is 70 %, and the maximum power density is 21.1 % higher than the traditional design.

The characteristics of the existing corn harvesting robot straw crushing and returning to the field, in order to improve the comprehensive application of corn stover in the production industry. Based on the mechanical characteristics of corn stover, a vertical defoliation and ear removal device can be designed to be installed in the corn harvesting robot, so that it can complete the harvesting of the whole corn stover. The key components of the vertical deleafing and ear removal device were designed and studied, and their parameters were determined. Through theoretical analysis, the operational and structural parameters affecting the harvesting effect were obtained, and the installation angle of the defoliation and ear removal roll, the rotation speed of the defoliation and ear removal roll, and the feeding rate of corn stover were selected as experimental factors, and the one-way test was carried out with the rate of stripping the corn stover clean and the rate of passing the corn stalks as the evaluation indexes.

In the ultra-precision machining of hard and brittle materials, the britt-ductile transition of the material plays a crucial role in its removal. To investigate the effects of cutting temperature and tool rake angle on the brittle-ductile transition process of single-crystal silicon, a two-dimensional orthogonal cutting model of single-crystal silicon was established using ABAQUS simulation software. The influence of temperature and tool rake angle on cutting forces and the brittle-ductile transition process was studied under continuous feed along both the cutting and cutting depth directions. The results indicate that as the cutting temperature increases from 20 °C to 400 °C, both the plastic cutting depth and the brittle-ductile transition depth of single-crystal silicon increase, reaching maximum values of 107.88 nm and 288.57 nm, respectively, while the cutting force decreases. When the tool rake angle decreases from -15° to -60°, both the plastic cutting depth and brittle-ductile transition depth also increase, with maximum values of 99.58 nm and 268.12 nm, respectively, accompanied by a reduction in cutting force. Furthermore, elevated cutting temperatures expand the depth range of the plastic-to-brittle-ductile transition zone, reduce fluctuations in temperature rise deviations, and decrease cutting force oscillations.

To improve the heat dissipation efficiency of power batteries under high-power operating conditions and ensure their safety and service life, this paper conducts optimization and simulation research on the heat dissipation structure of liquid cooling plates. Firstly, based on the thermal characteristics of a typical battery module, three-dimensional models of various liquid cooling plate flow channel structures (including traditional serpentine and labyrinthine structures) are established, with all structures adopting a unified parameter design. CFD simulation is used for numerical modeling, where the ambient temperature is set to 25°C, the inlet flow velocity is 0.5 m/s, and the outlet is configured as a pressure outlet with 0 Pa. The heat transfer forms are specified: natural convection between the battery pack and the environment with a constant heat transfer coefficient of 5 W/(m2·K), and heat conduction between the liquid cooling plate and the battery. Meanwhile, the contact surfaces between the cooling liquid and the liquid cooling plate, as well as between the liquid cooling plate and the battery, are set as fluid-solid coupling contact heat transfer surfaces. Secondly, the core performances of different flow channel structures in terms of temperature distribution, maximum temperature difference, and flow velocity distribution are analyzed emphatically. The simulation results show that the labyrinthine flow channel exhibits significant advantages: the maximum battery temperature is 27.73°C, which is 0.30°C lower than the 28.03°C of the serpentine structure; the maximum temperature of the liquid cooling plate is 25.23°C, 0.11°C lower than the 25.34°C of the serpentine structure, with a along-path temperature difference of only 0.23°C and a gentler temperature gradient. The average flow velocity of the cooling liquid in the labyrinthine flow channel remains 0.50 m/s, with uniform flow velocity distribution and enhanced turbulent disturbance, eliminating local low-velocity zones. It performs optimally in balancing heat dissipation uniformity, flow resistance, and heat-mass transfer efficiency, providing accurate theoretical basis and technical support for the efficient design of power battery thermal management systems.

Rubbing faults in rotor systems have increasingly become a primary cause of rotating machinery failures. To address the challenge of real-time monitoring of rotor system operating conditions and timely detection of rubbing faults, a condition monitoring method for rubbing rotor systems based on digital twin technology is proposed. A digital twin model of a single-disc rotor, incorporating rubbing faults and supported by plain bearing oil film forces, was constructed. The vibration signals obtained from simulations using this model were then compared with the test bench results, showing good consistency, which demonstrated that the digital twin model can effectively reflect the operational state of the bearing. Experimental results indicate that digital twin technology can significantly enhance the accuracy and real-time capabilities of fault monitoring.

Boosted gliders have the advantages of high flight speed, strong breakthrough interception capability, and wide strike range, making them a focus of research for all military countries around the world. Flight mechanics and control trajectory optimization are key technologies for assisting gliding aircraft. This article calculates the re-entry of trajectories using Pontryagin's maximum value theorem, Lagrange multiplier method, and sequential quadratic programming algorithm. The trajectory calculation is processed in parallel to improve the calculation speed and accuracy, and the parallel calculation of multiple shooting methods is achieved. The algorithm uses trapezoidal discretization, establishes Lagrange multiplier functions, and calculates partial derivatives to find the optimal solution for nonlinear programming using the SQP algorithm. This article compared the calculations using Gaussian pseudospectral method and found that setting the same parameters resulted in MATLAB shutting down. The optimized parallel computing based on Lagrange multipliers achieved an acceleration ratio of 1.0599 times, reducing the computation time by approximately 8 seconds. This article also conducted experiments on zero angle of attack reentry using parallel computing, and obtained an acceleration ratio of 2.2437, solving multiple trajectory acceleration calculation problems.This article implements a parallel approach to the Runge Kutta formula and applies it to achieve significant acceleration effects during zero angle reentry.

A high-quality business environment can foster high-quality regional economic development. This study constructs an evaluation index system for the business environment across 14 prefecture-level cities in Guangxi, selecting 12 indicators from five dimensions: economic level, investment expenditure, consumption demand, scientific innovation, and urban development. Factor analysis, entropy weight method, and systematic clustering were comprehensively applied to evaluate the business environment. The results indicate: Significant disparities and uneven development exist in business environments among Guangxi's cities. Optimizing Guangxi's business environment requires multi-faceted coordinated development and tailoring measures to local conditions based on regional characteristics.

The conventional optimization methods for agricultural e-commerce user classification mainly use the method of memory load classification on user data to obtain classification results, ignoring the impact of data dimensions on classification results, resulting in low similarity of user classification results. Therefore, a decision tree algorithm based optimization method for agricultural e-commerce user classification is proposed. Cluster agricultural e-commerce user data using spatial mapping method to obtain low dimensional coordinates of the clustering data, obtain user data with lower dimensions, extract classification feature values from the low dimensional data, and obtain classification variance based on decision tree algorithm to achieve user classification. The experimental results show that the average similarity of the classification results obtained after the application of the proposed method is 0.96, and the classification results are relatively accurate with good optimization effects, meeting the practical needs of agricultural e-commerce operations.

In traditional multi degree of freedom robotic arm control methods, there is a problem of inability to accurately perceive heterogeneous information from multiple sources around, resulting in low control accuracy, large errors in robotic arm motion and grasping pressure control, and potential damage to the target object. To address this issue, this paper proposes a fuzzy control method for multi degree of freedom robotic arms based on an improved differential evolution algorithm. Designed an overall schematic diagram for the drive control of a multi degree of freedom robotic arm, and collected multi-source heterogeneous information around the robotic arm during operation. Design a multi-source heterogeneous information fusion application process, establish a single robotic arm mechanism motion coordinate system, and use an improved differential evolution algorithm to obtain the optimal trajectory of the planar motion of a multi degree of freedom single robotic arm, achieving target tracking of the multi degree of freedom robotic arm operation motion process. Design the overall structure of the controller to achieve fuzzy control of the robotic arm. The experimental results show that the designed driving control method can achieve an average error distance of 3.2mm between the actual landing point of the target object and the landing point of the target, and the error is within the allowable range.