Great Influence Research Articles

Multi-objective parameter optimization design of tapered-type manifold/variable cross-section microchannel heat sink

Manifold microchannel heat sinks (MMCHS) have been widely used in the thermal management of high heat flux electronic devices. To improve the temperature uniformity of MMCHS and reduce the hot spot temperature, a tapered-type manifold/variable cross-section microchannel heat sink (TMVC-MCHS) is proposed in this study. Key parameters affecting the heat transfer performance of TMVC-MCHS were first investigated numerically. The results indicate that the width inclination ratio (αw,in) of the inlet manifold has a greater influence on the coolant flow distribution than the height inclination ratio (αh,in), with a ratio of more than 2.5. In addition, the microchannel inclination (β) and width ratio (ε) affect significantly the fluid flow and heat transfer. To further improve the cooling effect of the heat sink, this study adopted XGBoost and multi-objective genetic algorithm (NSGA-II) to optimize the structure. The maximum temperature of the substrate (Tmax) and the total pressure drop (ΔP) are the optimization objectives. Besides, the compromise solution (αw,in = 0.40, β = 0.63 and ε = 0.52) was determined by TOPSIS combined with the entropy weight method which was validated by the CFD method with an error margin of only 3 %. Finally, Compared to MMCHS, the temperature field distribution uniformity of TMVC-MCHS is significantly improved. The maximum bottom surface temperature is drastically reduced from 337.79 K to 320.01 K, and the temperature difference is reduced from 17.5 K to 3.5 K, at the cost of only a 3.5 kPa pressure rise. For inlet flow rates ranging from 1 m/s to 2.5 m/s, the TMVC-MCHS exhibits a hydrothermal performance factor (PEC) improvement of over 35 %, indicating superior comprehensive performance.

Mesoscale eddy variability over the Bay of Bengal in response to the contrasting phases of extreme Indian Ocean Dipole events

The present study is aimed to investigate the mesoscale eddy variability in response to the two contrasting phases of extreme Indian Ocean Dipole (IOD) events, the 2016 (negative mode) and 2019 (positive mode). A quantification of the eddy characteristics was done by estimating the number of eddies, eddy radius, eddy amplitude, and eddy rotation speed for each of the contrasting events. It is found from the analysis, that the phase of IOD has a significant impact on the spatiotemporal characteristics of eddies over the bay. The number of eddies increased and a gradual shift from anti-cyclonic to cyclonic eddies was observed during the positive IOD year. Eddies formed during 2016 had an average amplitude of 0.085 m, rotation speed was around 0.345 cm/s and eddy radius, on average was found to be 81.25 km. The presence of a unique eddy feature on the east coast of Sri Lanka was observed which remained as a cyclonic eddy during the negative IOD and as an anti-cyclonic eddy during the positive IOD. The sea surface height anomaly showed a dip of −0.1 m at the core of the cyclonic eddy and a +0.4 m bulge was observed at the core of the anti-cyclonic eddy. A high negative SST anomaly of −0.5 °C was observed at the core of the cyclonic eddy. A drastic increase in the mixed layer depth was seen with the presence of the anti-cyclonic eddy. Analysis of the temperature and salinity vertical profiles showed that the anti-cyclonic eddy had a greater influence on the vertical profile than the cyclonic eddy. Both the eddies contributed significantly to upper ocean primary productivity by different mechanisms. Eddy-induced upwelling was predominant in the cyclonic eddy whereas eddy stirring was predominant in the anti-cyclonic eddy.

Peran Lingkungan Kerja dan Fasilitas dalam Meningkatkan Motivasi dan Kinerja Karyawan

The work environment and facilities are two important factors that influence employee motivation and performance in an organization. Employees who work in a conducive environment and are equipped with adequate facilities tend to be more motivated and productive. The aim of this research is to measure the extent to which the work environment and facilities provided by the company can influence employee motivation and performance, as well as to provide strategic recommendations for improving the quality of the work environment and existing facilities. This research uses a quantitative approach with survey methods. Data was collected through questionnaires distributed to employees. The data analysis technique used is multiple linear regression to test the relationship between work environment variables, facilities, motivation and employee performance. The research results show that a conducive work environment and adequate facilities significantly influence employee motivation, which in turn has a positive impact on their performance. The work environment has a greater influence than facilities on employee motivation. In addition, motivation is proven to be a significant mediator between work environment and employee performance.

Study on the fatigue life and toughness of recycled aggregate concrete based on basalt fiber

This paper studies the influence of basalt fibers on the mechanical properties, fatigue life, and toughness of Mechanically Recycled Aggregate Concrete (MRAC). Basalt fibers of varying volume fractions and lengths, along with quantified amounts of mineral powder and fly ash, are incorporated into MRAC to prepare Basalt Fiber Mechanically Recycled Aggregate Concrete (BFMRAC). The results of basic mechanical tests and fatigue tests showed that mineral powder and fly ash reduce cement consumption, achieve the effect of green construction, and basalt fibers improve the mechanical properties and toughness of concrete. The results of the response surface method (RSM) model indicate that the volume fraction of basalt fibers has a greater influence on the mechanical properties of BFMRAC compared to fiber length. The fatigue test results indicate that under different fiber volume fractions and lengths, the uniaxial compressive fatigue life (N) of specimens for each mix proportion is consistently improved. When the length of basalt fibers is 12 mm and the volume fraction is 0.3 %, the uniaxial compressive fatigue life of BFMRAC reaches its maximum (231638), which is twice that of MRAC. When the survival rate (P) is set to 0.5, with a basalt fibers volume content of 0.3 % and a length of 12 mm, the fatigue limit strength (Se) attains its maximum (0.8648 fc). When stress levels (S) reach 0.75 and the basalt fibers length is 12 mm, the relative CI Intensifying Coefficient achieves its maximum (1.133), resulting in optimal fatigue toughness. When the basalt fibers length is 6–12 mm, Se generally increases with the increase of fiber length, and the enhancement effect is best at 12 mm.

Teamwork self-efficacy and employee satisfaction: a sequential framework to build employee cohesion

The occupational psychological health of the employees is affected by the behavior of their peers in the workplace. To reduce psychological stress and improve the well-being of employees, organizations are focusing on developing coherence through various human resources practices. In the current business scenario, it is crucial to address psychological stress by building employee cohesion. The aim of this study is to analyze how employees’ teamwork self-efficacy influences group cohesion through employee satisfaction. This study followed a quantitative approach to test the data, which comprises 228 information technology (IT) professionals, working in top IT companies in India. This study used a partial least squares structural equation modeling approach to test the hypothesis. The results revealed that employees’ teamwork self-efficacy is not directly influencing employee cohesion, whereas it has a significant positive influence on an employee’s cohesion only with the mediation effect of an employee’s satisfaction. Predominantly, an employee’s extrinsic satisfaction has a greater influence on the aforesaid relationship than an employee’s intrinsic satisfaction. The results of this study suggest human resources development practitioners place more emphasis on delivering motivational benefits and providing collaboration-oriented interventions that strengthen teamwork self-efficacy, since these factors may directly affect employee cohesion given that a large portion of the respondents were young adults.

Regulating surface properties of Co3O4@MnO2 catalysts through Co3O4-MnO2 interfacial effects for efficient toluene catalytic oxidation

Interface engineering between Co3O4 and MnO2 shows distinct advantages in regulating the surface properties of catalysts. However, there is still doubt about whether the interfacial effects originate from the interaction between heterogeneous metals and Co3+ or Co2+. Herein, Co3O4-MnO2 interface was successfully constructed on Co3O4 primarily exposed different crystal planes to design Co ions that were directly linked to MnO2 at Co3O4-MnO2 interface. Combining the results of systematic characterizations and catalytic performance evaluation, it is found that the oxidative decomposition of toluene over Co3O4@MnO2 catalysts is significantly accelerated in comparison with the pristine Co3O4, which can be attributed to the greatly increased Co3+ and adsorbed oxygen species as well as specific surface area after the successful construction of Co3O4-MnO2 heterointerface. However, Co3O4-MnO2 interface shows much greater influence on Co3O4@MnO2-100 where Co ions mainly exist in the form of Co2+ than that on Co3O4@MnO2-110 dominated by Co3+. Furthermore, catalytic performance evaluation results illustrate that the T90 of Co3O4@MnO2-110 has only decreased by 11 °C compared to Co3O4-110, while the T90 of Co3O4@MnO2-100 is 50 °C lower than that of Co3O4-100. Therefore, based on the above results it speculates that the strong interaction between MnO2 and Co3O4 at Co3O4-MnO2 hetero-interface may originate more from the synergistic effect between MnO2 species and Co2+ ions. In addition, the in-situ DRIFTS demonstrate that the oxidation of toluene over Co3O4@MnO2 catalysts follows the path of toluene → benzaldehyde → benzoate → maleic anhydride → water and carbon dioxide.

Improving Privacy and Security: Artificial Intelligence\'s Ability to Detect and Stop Threats with IBM SAAS SIEM

Abstract: Artificial intelligence has become a vital part of cyber security because of its capacity to assess security threats instantly and respond appropriately. AI currently has a greater influence on identifying and thwarting assaults that maintain companies' technological edge. AI's function in cybersecurity focuses primarily on detection and mitigation. Artificial intelligence uses predictive algorithms and sophisticated data analysis to find trends and irregularities in transmitted data and usage that may indicate a potential cyberattack. This enables security staff to react swiftly and proactively to possible assaults. Artificial Intelligence may be employed to stop assaults by using predictive modeling. The findings suggest that further research and development on the integration of machine learning and artificial intelligence into security platforms has a lot of promise. Among the most intriguing applications found are security for networks, detection of malware, and detection of intrusions and response. The poll indicates that 35% of firms intend to implement machine learning and artificial intelligence throughout existing cyber networks, while 45% of companies have already done so.

Jalinan Kasih android mobile phone application improves knowledge, attitude, and practice regarding early marriage among high school students: Evidence from quasi-experimental study.

Child marriage has a significant health impact on young mothers and their offspring. This study aims to compare the effectiveness of the Jalinan Kasih Android-based application, the Marriage Age Maturity (PUP) module, and the lecture method in improving knowledge, attitude, and practice regarding early marriage among high school students. A quasi-experiment with control groups was conducted, involving 72 students selected from three high schools in Bengkulu City, Indonesia who met the inclusion criteria. The participants were divided into three groups: 24 individuals in the application intervention group, 24 individuals in the module intervention group, and 24 individuals in the control group. The Jalinan Kasih application group showed an increase in average scores before and after the intervention, in terms of knowledge (6.46), attitude (6.79) and practice (1.75), with a p-value of 0.000, 0.000 and 0.17, respectively, The Jalinan Kasih application had a greater influence on knowledge, attitude and practice compared to the PUP module and the lecture method with a p-value of 0.000. In other words, the Jalinan Kasih mobile application was effective in improving the knowledge, attitude, and practice of high school students regarding early marriage through the use of its contents and consultation feature. It is recommended that the Jalinan Kasih application be used as an educational medium to prevent early marriage and improves family planning.

Finite Element Analysis of Relative Slip Between Tight Tops and the Human Body

To investigate the fabric performance of tight tops and the influence of clothing pressure on the relative slip between clothing and the human body, a simulation model based on finite element analysis is proposed. This model simulates the relative slip distance under dynamic conditions. Initially, a three-dimensional model for numerical simulation was established through reverse engineering. Subsequently, material properties and boundary conditions were defined. Finally, the model was analyzed using ANSYS Workbench, and the obtained results were compared with the stretch ratio of the skin on the human back. The results indicate that, under constant conditions, the Young’s modulus of the fabric has a greater influence on the slip and shows a significant positive correlation, with correlation coefficients ( R) all exceeding 0.99. The impact of clothing pressure on sliding is relatively small, and the sliding distance decreases with an increase in clothing pressure. In addition, it has been demonstrated that there is a significant correlation ( p < 0.05) between the relative sliding distance of clothing and the stretch ratio of the skin. The study could provide a helpful guideline for the design of smart clothing, and it can provide valuable insights for various applications, such as sportswear and medical apparel.

Work-Life Balance and the Environment in Job Satisfaction of Healthcare Personnel

The study was conducted due to the need to determine and analyze the size of the influence of work-life balance and the environment on the job satisfaction of health professionals at a community health center in the Pasar Rebo District, where there are numerous COVID-19 cases. The primary issue with work-life balance is a lack of job satisfaction based on observation results, COVID-19 incentive data, and health workers, the majority of whom are women. This study employs quantitative methodologies with a sample size of 141 respondents. Primary data is collected using observation and questionnaires. Multiple linear regression is used to analyze the data. The study's findings reveal that both work-life balance and the work environment have a positive and significant influence on health workers' job satisfaction, with work-life balance having the greater influence.

Microorganisms Directly Affected Sediment Carbon–Nitrogen Coupling in Two Constructed Wetlands

Clarifying the carbon–nitrogen coupling pattern in wetlands is crucial for understanding the driving mechanism of wetland carbon sequestration. However, the impacts of plants and environmental factors on the coupling of carbon–nitrogen in wetland sediments are still unclear. Sediment samples from plant (Typha angustifolia and Phragmites australis)-covered habitats and bare land were collected in two constructed wetlands in northern China. The contents of different forms of carbon and nitrogen in sediments and plants, and the sediment microbial community were detected. It was found that the sediment carbon to nitrogen (C/N) ratios did not differ significantly in the bare sites of different wetlands, but did in the plant-covered sites, which highlighted the different role of plants in shifting the carbon–nitrogen coupling in different constructed wetlands. The effects of plants on the sediment carbon–nitrogen coupling differed in two constructed wetlands, so the structural equation model was used and found that sediment microorganisms directly affected sediment C/N ratios, while water and sediment physicochemical properties indirectly affected sediment C/N ratios by altering sediment microbial functions. Multiple linear regression models showed that water pH, sediment moisture content, water dissolved oxygen, and water depth had a greater influence on the carbon metabolism potential of the sediment microbial community, while sediment moisture content had the greatest impact on the sediment microbial nitrogen metabolism potential. The study indicates that variations in environmental conditions could alter the influence of plants on the carbon and nitrogen cycles of wetland sediments. Water environmental factors mainly affect microbial carbon metabolism functions, while soil physicochemical factors, especially water content, affect microbial carbon and nitrogen metabolism functions.

Experimental study of multiscale dynamic characterization of the gas-solid phase in a disturbing rotary centrifugal air classifier using pressure signal testing and analysis methods

This study investigates the complex dynamic characteristics of the flow field inside a disturbing rotary centrifugal air classifier through experimental analysis. To this end, micro-pressure sensors are employed to measure pressure signals in different spatial regions under various operating conditions. The analysis includes time-frequency characterization, complexity assessment, and multi-scale energy analysis. The time-domain fluctuation characteristics of the air classifier's pressure signal are closely tied to operating parameters, with the most intense pressure fluctuations occurring in the middle and back region of the air classifier. The loaded condition intensifies the fluctuations, with particle presence exacerbating low-frequency pressure variations and affecting the cyclone's vortex stability. Additionally, the internal installation of the screen cage structure exhibits maximum complexity and randomness in the internal flow field when Rf = 45 Hz, f = 0.4 kg/s, and β = 0°, showing higher randomness and reflecting fine-scale interactions between gas and particles. Conversely, larger scale characteristics are revealed by DET values in higher detail signal levels. Changes in operational parameters, such as perturbation frequency and feeding time, significantly affect the axial distribution of multi-scale energy in the air classifier, with a greater influence on pressure fluctuation at the macroscopic scale, indicating intensified turbulent behavior between gas and particles. This study reveals the influencing mechanisms of various operating parameters on the multiscale dynamic characteristics and complexity of the flow field inside the rotary centrifugal air classifier.

Estimating hydraulic diffusivity in coastal confined aquifer under tidal fluctuation using a frequency domain model

Oceanic tidal propagation into the coastal aquifers is a cost-effective method for estimating hydraulic parameters in coastal aquifers, and identifying the most suitable parameter estimation method for coastal aquifers based on the observations has become an intensively studied subject. In this study, the frequency domain model, LPMLE3 (combination of a local polynomial (LP) signal processing technique with a maximum likelihood estimator (MLE)), was applied to estimate the hydraulic diffusivity (λ) of the coastal aquifer by adjusting the mathematical model in LPMLE3. The mathematical model in LPMLE3 has been adjusted by removing the convective term from the convective diffusion equation within LPMLE3, and a newly developed frequency-domain analytical solution that describes the head changes due to tidal fluctuations in coastal confined aquifers was used to replace the diffusion term. For comparison, an analytical solution in the time domain was also derived by Green’s functions method. After that, the particle swarm optimization algorithm and Markov Chain Monte Carlo method were used to estimate λ. Results show that LPMLE3 performed well in estimating homogeneous or heterogeneous aquifers with complicated boundary conditions. The estimated error of λ is within 10 % in a heterogeneous aquifer when the variance of the natural logarithm of the aquifer hydraulic conductivity is less than 0.05 (σlnK2≤0.05). If the coastal aquifer has a sloping beach, the estimated λ by LPMLE3 method accurately when the sloping beach angle is greater than 65°. As for an inclined coastal aquifer, the dip angle has a greater influence on the offshore areas than the nearshore areas and the estimation errors are relatively small (less than 15 %) when the dip angle is within a range of 0- 15°.

ClusterLP: A novel Cluster-aware Link Prediction model in undirected and directed graphs

Link prediction models endeavor to understand the distribution of links within graphs and forecast the presence of potential links. With the advancements in deep learning, prevailing methods typically strive to acquire low-dimensional representations of nodes in networks, aiming to capture and retain the structure and inherent characteristics of networks. However, the majority of these methods primarily focus on preserving the microscopic structure, such as the first- and second-order proximities of nodes, while largely disregarding the mesoscopic cluster structure, which stands out as one of the network's most prominent features. Following the homophily principle, nodes within the same cluster exhibit greater similarity to each other compared to those from different clusters, suggesting that they should possess analogous vertex representations and higher probabilities of linkage. In this study, we develop a straightforward yet efficient Cluster-aware Link Prediction framework (ClusterLP), with the objective of directly leveraging cluster structures to predict links among nodes with maximum accuracy in both undirected and directed graphs. Specifically, we posit that establishing links between nodes with similar representation vectors and cluster tendencies is more feasible in undirected graphs, whereas nodes in directed graphs are inclined to point towards nodes with akin representation vectors and greater influence. We tailor the implementation of ClusterLP for undirected and directed graphs, respectively, and experimental findings using multiple real-world networks demonstrate the high competitiveness of our models in the realm of link prediction tasks. The code utilized in our implementation is accessible at https://github.com/ZINUX1998/ClusterLP.

Study and Optimization of the Punching Process of Steel Using the Johnson–Cook Damage Model

Sheet metal forming processes are widely used in applications such as those in the automotive or aerospace industries. Among them, punching is of great interest due to its high productivity and low operating cost. However, it is necessary to optimize these processes and adjust their parameters, such as clearance, shear force or tool geometry, to obtain the best finishes and minimize crack generation. Thus, the main objective of this research work is to optimize the punching process to achieve parts that do not require subsequent processes, such as deburring, by controlling the properties of the starting materials and with the help of tools such as design of experiments and simulations. In the present study, tensile tests were performed on three steels with different compositions and three sample geometries. The information obtained from these tests has allowed us to determine the parameters of the Johnson–Cook damage criteria. Moreover, punching was performed on real parts and compared with simulations to analyze the percentage of burnish surface. The results obtained show that the methodology used was correct and that it can be extrapolated to other types of die-cutting processes by reducing the percentage of surface fractures and predicting the appearance of cracks. Furthermore, it was observed that clearance has a greater influence than processing speed, while the minimum percentage of the burnish area was observed for the minimum values of clearance.

On the cash-flow and control rights of contingent capital

Partial conversion of contingent capital (CC) provides its owners with a portfolio of equity and debt. Since the cash-flow rights on equity (debt) typically induce a preference for risk taking (safety), the net preference of CC-holders upon conversion will depend on their relative holdings of each asset, which in turn, depends on the amount of CC converted. Conversions also provide CC-holders with equity-control rights, which afford them greater influence over management. Taking into account these cash-flow/control rights, initial shareholders may find it optimal to: (1) select high-risk assets that create influential and risk-loving CC-holders, or (2) select low-risk assets that forestall the influence of safety-loving CC-holders.

Youth behavioural responses to regulated alcohol advertising content: Results from a mixed-methods study in France

ObjectivesThe World Health Organization advocates measures regulating alcohol advertising content, as illustrated by the French Évin law. However, how people react to such regulation has been under-investigated. The research reported here has two objectives: to analyze how different advertising contents (regulated or not) affect the persuasion process from attention to behavioural responses, and whether young people are protected; to examine how alcohol warnings perform depending on their salience and the advertising content displayed (regulated or not). Materials and methodsThis study surveyed French people aged 15–30 using a mixed-methods design. In-depth interviews were conducted on 26 respondents to understand how non-regulated (NRA) and regulated (RA) alcohol advertising influence the persuasion process. An experiment on 696 people assessed the influence of RA vs. NRA on intentions to buy and drink alcohol, and whether less vs. more salient warnings displayed in the RA or NRA setting have differential effects on behavioural responses. ResultsNRA (vs. RA) had a greater influence on young people's desire to buy and drink alcohol, which we explain by different psychological processes. NRA appeared to trigger a heuristic process that involves affective reactions (e.g. image, symbolism) and product-oriented responses (e.g. quality), whereas RA appeared to trigger a more systematic process that had less influence. The protective effect of content regulations was strong for the youngest participants but fades as age increases, reaching its limits at age 22 years. Salience of the warnings had no influence on desire to buy and drink alcohol, whatever the ad content. ConclusionAdvertising content regulations need to be implemented to protect young people, particularly the youngest. Our results on alcohol health warnings highlighted that text-only labels similar to those adopted in many countries are ineffective at decreasing young people's intentions to buy and drink alcohol.

Do Cognitive and Non-Cognitive Factors Predict Responses to Reading Fluency Interventions?

We investigated whether emotional and motivational factors had predictive effects beyond those of cognitive factors on responses to two reading fluency interventions. Eighty-two dysfluent readers (Grades 3–5) participated in a 12-week school-based fluency intervention, either combined with or without self-efficacy support. Response to the intervention was determined by the fluency gain score and the Reliable Change Index. In the skill-focused intervention, cognitive predictors contributed to the response, and reading-related anxiety and self-efficacy had effects beyond the cognitive predictors. Weaker initial reading skills and older age predicted response in the combined intervention. Thus, children's personal characteristics may have a greater influence on their responses in a skills-focused intervention than in an intervention that also considers emotional and motivational aspects.

Seismic performance investigation of irregular and complex connected structures based on the influence of ground fissure activity

To investigate the dynamic response of irregular and complex connected structure, the comprehensive soil and connected structure model was developed, which is considered the site condition of different foundation soils. This study explored on the deformation law of the connected structure, and analyzing the structural displacement, acceleration, and torsional response under various seismic conditions. The findings revealed that the presence of ground fissures significantly amplifies the dynamic response of connected structures, with a greater influence from the hanging wall. Additionally, the lag effect was observed in the generation of the peak ground acceleration (PGA) in the site model considering ground fissures, but the result surpassed those in ordinary sites. During the elastic-plastic loading stage, the study observed that the maximum inter-story displacement angle remained within the limits prescribed by specifications. Due to the varying distances between column bases of the main area and ground fissures, there is a significant magnification effect in inter-story torsional angle. The incorporation of sliding supports emerged as an effective measure in mitigating the relative displacement of connected structures, consequently reducing the translational-torsional coupling effect during rarely occurred earthquake. The research results provide reference for the seismic performance analysis of connected structures under complex site conditions.

Soil erosion‐induced decline in aggregate stability and soil organic carbon reduces aggregate‐associated microbial diversity and multifunctionality of agricultural slope in the Mollisol region

AbstractSoil erosion has become a serious ecological problem hindering the agricultural and economic development in Northeast China. Soil aggregates are basic units that regulate soil fertility and microbial activity. However, there have been few reports on the role of soil erosion in regulating the microbial diversity, multiple ecosystem services, and functions (multifunctionality) of soil aggregates. In this study, we investigated the effects of soil erosion on microbial diversity and the activities of various extracellular enzymes associated with soil aggregates by using Mollisol soil in Northeastern China at different positions of a slope, and how soil erosion affects soil multifunctionality indexes obtained by normalized calculation of soil enzyme activities. The results showed that soil erosion could reduce the physicochemical properties, soil enzyme activity, and microbial diversity of the aggregates, resulting in accumulation of aggregate nutrients and increase in microbial diversity and enzyme activity in the sedimentation area. Compared with smaller soil aggregates, larger soil aggregates had higher nutrient content, enzyme activity, and microbial diversity. However, with the intensification of soil erosion, the differences in microbial diversity and soil enzyme activities among different sizes of aggregates were reduced. Soil erosion also significantly reduced soil multifunctionality (p < 0.001). The multifunctionality of 2000–250 μm, 250–53 μm, and <53 μm aggregates respectively declined from 0.52, 0.20, and 0.08 (no erosion sites) to −0.17, −0.66, and −0.77 (heavy erosion sites). Additionally, microbial diversity was found to have a linear positive correlation with soil multifunctionality (R2 = 0.23, p < 0.01). Structural equation modeling and random forest analysis revealed that soil organic carbon and aggregate water stability are main predictors of soil multifunctionality. Furthermore, soil physicochemical properties had a greater influence on soil multifunctionality than microbial diversity. Collectively, our results demonstrate that soil erosion negatively affects the structure, resource effectiveness, and microbial activity of soil aggregates, thereby reducing to differential soil multifunctionality.