Load Factor Research Articles

Reactive Extraction of Carboxylic Acids (Lactic, Propionic and Succinic Acids) using Tri-n-Butyl Amine Dissolved in Various Diluents

The current study intends to look into the extraction of lactic acid, propionic acid and succinic acids from aqueous solutions of these substances utilizing various solvent-extractant combinations to ascertain the most effective composition for the reactive extraction. The commercial value of succinic, propionic, and lactic acids in industrial processes led to their selection as the carboxylic acids. The process of recovering carboxylic acids from their aqueous solutions is accomplished by the Process Intensification method of reactive Tri-n-Butyl Amine was employed in the experiments because it has better stability, a lower water solubility, and is more eco-friendly than other extractants of the amine type. The extractants were dissolved in various diluents with various chemical structures, including 1-octanol, chloroform, and dimethylene chloride. Each experiment was conducted at 298.15 K. The distribution coefficient (KD), loading factor (Z), and extraction yield (%E) were used to compare the results in the range of 0.1 to 0.4 N acid concentration at various concentrations of Tri-n-Butyl Amine (10% to 40%). It was observed that at 0.1N and 40% amine concentration succinic acid attains a maximum distribution coefficient KD is 8.01 and equilibrium complexion KE1 is 7.5 for Tri-n-Butyl Amine, followed by propionic acid and lactic acid and a (1:1) type of acid amine complex was observed. The kinetic studies that were carried out using stirred cells to figure out the kinetic parameters such as order of the reaction with respect to acid and amine, mass transfer coefficient, and rate constant are also reported. The reaction with the highest Hatta number, MH=14, occurs in an instantaneous regime in 1-octanol when succinic acid and Tri-n-Butyl Amine interact.

Evaporator Evaluation as a Heat Exchanger in Refrigeration Systems at Constant Thermal Load and Fouling Factor

Heat exchangers are widely used in various industrial installations, one of which is their use in air conditioning systems. In the design process of heat exchangers, the main focus is to determine the dimensions of the device. This is done to determine the performance of the heat exchanger, where the calculation is based on a constant thermal load and a constant fouling factor. When the heat exchanger is first operated, the mass flow rate of the cooling fluid must be lower than the design point to maintain a constant cooling load. However, the conditions for the formation of deposits on the surface of the heat exchanger cannot be known. Therefore, designing a heat exchanger with a constant fouling factor is less realistic.

Oxidative degradation of chitosan by Fe-MCM-41 heterogeneous Fenton-like system

We herein disclosed an efficient multiphase Fenton-like catalytic system for oxidative degradation of chitosan. By utilizing Fe-MCM-41, featured with regular mesoporous structure and high specific surface area, the activation efficiency of H2O2 was significantly enhanced and the chitosan degradation efficiency proved by 28.1% higher than the conventional system using H2O2 alone. Under optimized conditions (5 g/L chitosan, 0.5 g/L Fe-MCM-41, 0.16 mol/L CH3COOH, 0.86 mol/L H2O2, 50 °C, 140 min), the viscosity reduction rate of chitosan reached an impressive 98.2%. Among the catalysts tested, Fe-MCM-41 with a loading factor of x = 0.12 demonstrated optimal degradation performance. After four recycles, the degradation efficiency maintained > 93.6%, demonstrating its excellent stability and recyclability for potential industrial applications. Kinetic studies provided further elucidation of the reaction mechanism, which indicated that the degradation process of chitosan followed a first-order kinetic model, with an apparent activation energy (Ea) of 48.91 kJ/mol. This novel and efficient strategy for chitosan degradation, addressed the challenges of catalyst recovery and secondary pollution typically associated with traditional Fenton systems, and posed broad application potential for polysaccharide material processing.

Feedback-regulated seed black hole growth in star-forming molecular clouds and galactic nuclei

Context. The detection of supermassive black holes (SMBHs) in high-redshift luminous quasars may require a phase of rapid accretion, and as a precondition, substantial gas influx toward seed black holes (BHs) from kiloparsec or parsec scales. Our previous research demonstrated the plausibility of such gas supply for BH seeds within star-forming giant molecular clouds (GMCs) with high surface density (∼104 M⊙ pc−2), facilitating “hyper-Eddington” accretion via efficient feeding by dense clumps, which are driven by turbulence and stellar feedback. Aims. This article presents an investigation of the impacts of feedback from accreting BHs on this process, including radiation, mechanical jets, and highly relativistic cosmic rays. Methods. We ran a suite of numerical simulations to explore diverse parameter spaces of BH feedback, including the subgrid accretion model, feedback energy efficiency, mass loading factor, and initial metallicity. Results. Using radiative feedback models inferred from the slim disk, we find that hyper-Eddington accretion is still achievable, yielding BH bolometric luminosities of as high as 1041 − 1044 erg/s, depending on the GMC properties and specific feedback model assumed. We find that the maximum possible mass growth of seed BHs (ΔMmax BH) is regulated by the momentum-deposition rate from BH feedback, ṗfeedback/(ṀBHc), which leads to an analytic scaling that agrees well with simulations. This scenario predicts the rapid formation of ∼104 M⊙ intermediate-massive BHs (IMBHs) from stellar-mass BHs within ∼1 Myr. Furthermore, we examine the impacts of subgrid accretion models and how BH feedback may influence star formation within these cloud complexes.

Crack Propagation Tests for Load Sequences Developed Using Different Flight Parameters of a Trainer Aircraft

Abstract Military aircraft are subjected to highly variable and unpredictable loads due to diverse mission profiles, armament configurations, and individual piloting styles. This variability complicates the definition of precise load spectra, particularly in cases where data loss occurs due to Flight Data Recorder (FDR) malfunctions or data mishandling. This paper investigates the use of different flight parameters, such as load factor (nz ), barometric height (Hb ), and horizontal velocity (Vp ), to define load sequences for the PZL-130 “Orlik” TC-II military trainer aircraft. These sequences were then used to evaluate crack propagation using Compact Tension (CT) specimens. The results show that the incorporation of additional flight parameters improves the accuracy of crack propagation predictions when compared to direct strain measurements. This study highlights the potential of using available flight data to develop reliable load spectra for fatigue life estimation in military aircraft, even when direct load measurements are not financially feasible.

A Study of Heavy Road Freight Transport in Poland in the Context of the Pursuit of Sustainable Road Transport

The efficiency of road freight transport determines—to a significant degree—the total environmental footprint and the amount of greenhouse gases and other pollutants released into the atmosphere by inland transport. The rate of empty or partially empty vehicles is one of the key metrics for improvement of the environmental performance of freight road transportation. This paper presents the characteristics of road freight transport in Poland on the basis of data collected by weigh-in-motion stations. Data aggregation for environmental analysis represents a novel aspect of the work. Indicators describing the degree of loading, the share of empty vehicles in traffic, and the share of vehicles of maximum permissible total weight in traffic were determined for a representative group of heavy goods vehicles. Based on the representative load factor value (LFA), a classification of the road section into four groups was proposed. The results obtained show a clear differentiation of the values of the indicators analyzed for individual groups and their variability in the three-year period covered by the analysis. The aggregation method presented can be used to identify the nature of the distribution of the weight categories of the heavy goods vehicles and provide input information for targeted analyses relating to sustainable road transport management and environmental protection. Finally, the grouped LFA values were linked with indicators of energy consumption (ECI) and on-road emissions (EI).

Development of a magnetic rotator to enhance the hydrogen evolution reaction in a proton exchange membrane water electrolysis cell

In this study, a large-scale magnetic rotator for hydrogen production boosting was designed. The study addresses the challenge of selecting and designing mechanical components for a dynamic magnetic field (DMF) magnetic rotator in a green hydrogen electrolysis power plant, focusing on ensuring component reliability and efficiency under operational stresses. The aim is to determine suitable machine element materials (shaft, clutch, gears, etc.), allowable shear stress, and interconnection mechanisms through theoretical and practical evaluations. The method includes calculating the allowable shear stress for the spline based on carbon steel tensile strength, applying safety factors for material properties and load considerations, and determining shaft diameter using torque and shock load factors. Standard catalogs guide the selection of interconnections like clutches, gears, and bearings to ensure compatibility and performance. The results indicate that a 95 mm diameter S30C carbon steel shaft, with an allowable shear stress of 7.8 kg/mm2, meets the design requirements. The chosen spline dimensions and a 12.5 MW, 14-pole induction motor align with the system’s needs, ensuring reliable operation. The discussion highlights the critical balance between theoretical predictions and practical application in design optimization. It underscores the importance of incorporating safety factors and verifying component suitability to ensure robust performance of the magnetic rotator. This study provides a comprehensive approach to design optimization, integrating theoretical analysis with practical considerations to achieve optimal performance and reliability. The design output of this study can be used to boost the hydrogen evolution reaction in the SIEMENS Sylizer 300 electrolysis cell.

Correlation between Different Factors of Non-point Source Pollution in Yangtze River Basin

This research used the improved export coefficient model to estimate non-point source load in sub-watersheds and a self-organizing map model to identify the correlation relationship of factors, that can be affected by non-point source load in Yangtze River Basin. Research results indicate that total nitrogen load is 4.87 - 15.53 kg/ha; total phosphorus load is 0.18 - 0.51 kg/ha; Dong Ting Lake sub-basin has the lowest contribution value of total nitrogen and phosphorus; Tai Lake sub-basin has the highest contribution load of total nitrogen and total phosphorus; Jinsha River sub-basin reveals the highest value of total nitrogen and phosphorus contribution on grassy land and desert land; Tai Lake sub-basin has the highest total nitrogen and total phosphorus load on forest, agricultural land, and urban construction land. The correlation relationship of factors reveals a very close correlation with each other as precipitation, total nitrogen load, and total phosphorus load factors have correlation in the highest value, in which total nitrogen load and total phosphorus load factors have a close correlation with each other from the lowest value to highest value; wetland and barren land factors correlate with the lowest value and the highest value; agricultural land, forestland, and grassy land factors correlate with one another in the high value and the highest value. The forest cover rate factor, as well as the population factor, does not correlate with other factors.

Internal structure validation of a teacher autonomy scale through confirmatory factor analysis

Purpose: Teacher autonomy is defined as the freedom of teachers to organize the learning and teaching process at school. The teaching autonomy scale measures teacher autonomy (Pearson & Hall, 1993). This study was conducted to identify whether the measuring instrument of teacher autonomy meets the validity and reliability requirements of a measuring instrument. Method: The number of respondents in this study was obtained using a proportional sampling technique involving 170 respondents. The teacher autonomy measuring instrument produced from this study consists of 17 items that measure two dimensions; curriculum autonomy and general teaching autonomy. The quantitative data analysis techniques used were content-based validity tests through CVR and readability tests, validity evidence based on internal structure through CFA, and reliability tests based on homogeneity (internal consistency) through CR and AVE. Result: Shows CVR value with a minimum value of 0.78; loading factor ≥ 0.4, except for item 7 and item 8, as well as fit model fit with RMSEA = 0,077; RMR = 0,030; GFI = 0,847; CFI = 0,858; TLI = 0,797; NFI = 0,805; and p-value < 0.05. reliability test through CR value (0.944) > 0.7 and AVE (0.544) > 0.4. Conclusion: The adaptation of the teacher autonomy measurement tool for female junior high school teachers met good validity and reliability values.

Tiny Pointers

This paper introduces a new data-structural object that we call the tiny pointer. In many applications, traditional \(\log n\) -bit pointers can be replaced with \(o(\log n)\) -bit tiny pointers at the cost of only a constant-factor time overhead and a small probability of failure. We develop a comprehensive theory of tiny pointers, and give optimal constructions for both fixed-size tiny pointers (i.e., settings in which all of the tiny pointers must be the same size) and variable-size tiny pointers (i.e., settings in which the average tiny-pointer size must be small, but some tiny pointers can be larger). If a tiny pointer references an item in an array filled to load factor \(1-\delta\) , then the optimal tiny-pointer size is \(\Theta(\log\log\log n+\log\delta^{-1})\) bits in the fixed-size case, and \(\Theta(\log\delta^{-1})\) expected bits in the variable-size case. Our tiny-pointer constructions also require us to revisit several classic problems having to do with balls and bins; these results may be of independent interest. Using tiny pointers, we apply tiny pointers to five classic data-structure problems. We show that: A data structure storing \(n\) \(v\) -bit values for \(n\) keys with constant-factor time modifications/queries can be implemented to take space \(nv+O(n\log^{(r)}n)\) bits, for any constant \(r\gt0\) , as long as the user stores a tiny pointer of expected size \(O(1)\) with each key—here, \(\log^{(r)}n\) is the \(r\) -th iterated logarithm. Any binary search tree can be made succinct, meaning that it achieves \((1+o(1))\) times the optimal space, with constant-factor time overhead, and can even be made to be within \(O(n)\) bits of optimal if we allow for \(O(\log^{*}n)\) -time modifications—this holds even for rotation-based trees such as the splay tree and the red-black tree. Any fixed-capacity key-value dictionary can be made stable (i.e., items do not move once inserted) with constant-factor time overhead and \((1+o(1))\) -factor space overhead. Any key-value dictionary that requires uniform-size values can be made to support arbitrary-size values with constant-factor time overhead and with an additional space consumption of \(\log^{(r)}n+O(\log j)\) bits per \(j\) -bit value for an arbitrary constant \(r\gt0\) of our choice. Given an external-memory array \(A\) of size \((1+\varepsilon)n\) containing a dynamic set of up to \(n\) key-value pairs, it is possible to maintain an internal-memory stash of size \(O(n\log\varepsilon^{-1})\) bits so that the location of any key-value pair in \(A\) can be computed in constant time (and with no IOs). In each case tiny pointers allow for us to take a natural space-inefficient solution that uses pointers and make it space-efficient for free.

Load spectra of a light unmanned aircraft – data recording frequencies and resulting measurement variations

The article focuses on the load spectrum of a lightweight unmanned aircraft. It examines the impact of load signal sampling frequency on the load spectrum derived from the load signal. The flight sessions followed two scenarios: a maneuvering flight causing a wide range of load factor variations and a calm photogrammetric flight. The recorded load signals from two types of sensors were initially rescaled into load factor time series, with an optional signal smoothing process. These series were then downsampled by selecting every nth term, resulting in load factor sequences recorded at a lower frequency. Next, all sequences were transformed into sequences of local extremes of the Load Levels, resulting from quantifying the operational load variability into 32 intervals. Two options were considered: without filtering or with filtering of sequential pairs of terms generating small Load Level increments. Subsequently, the Rainflow Counting algorithm was applied, producing 32x32 load half-cycle arrays. Based on these arrays, incremental load spectra were calculated. The study provides a detailed comparison of load spectra for different load signal sources and recording frequencies. Additionally, calculations of the fatigue life of a structural element subjected to various load spectra were performed, leading to the formulated conclusions.

Global air freight flow data for aviation policy modelling

Models of air freight are often constrained by a lack of available data. This study brings together different sources of air freight supply and demand data to address this gap. To study air freight operations, we combine schedules, flight tracking data and country-level databases of passenger and freight movements to produce estimates of global flight segment-level capacity and load factors in freighter aircraft and passenger holds for 2019–2021. To study true origin-ultimate destination air freight demand, a freight mode choice model by commodity group is developed for 2019 to fill gaps in mode information in international and national trade datasets, and estimates are made for 2019 and 2021. Initial comparisons of supply and demand data demonstrate that air freight journeys differ significantly from passenger journeys, typically including more flight legs (roughly, around 2, compared to 1.2 for passengers) and greater leg distances (2.2–2.5 times average passenger distance), with significant asymmetry in commodity flows and operations to and from individual countries and regions. These differences persist in 2021, despite COVID-19 induced shifts towards carrying more air freight in freighter aircraft. This research forms a first step towards making available an integrated database of estimated global air freight flows by commodity.

Methodical approach to determining the main parameters of the evacuation system for the wounded with the use of different types of transport

The timeframe for evacuating the wounded is a critical factor that largely determines the fate of a wounded soldier. Even at the initial stage of the war waged by the russian federation against Ukraine, there were almost no frontline ambulances, and there was a critical shortage of ambulances. At present, despite significant efforts to provide the Armed Forces of Ukraine with weapons and military equipment, as well as material and technical means, including medical equipment and property, in particular through international technical assistance, the problem of the lack of the required number of specialised medical evacuation vehicles has not been fully resolved. From this point of view, the issue of correct formulation of requirements for the rational composition and specially equipped various types of vehicles (including sanitary transporters, ambulances), including general use, the system of evacuation of the wounded, and determining the possibility of its further improvement through the methodological apparatus is relevant. The purpose of the article is to present a methodological approach to determining the main parameters of the system of evacuation of the wounded of an operational group of troops with the involvement of various types of transport. The formation of a model of the casualty evacuation system as a mass service network (MSN) will minimise the time spent waiting for medical care by wounded personnel, determine the rational composition of forces and means of the tactical casualty evacuation system. To model the system and processes of evacuation of the wounded from the battlefield during hostilities, including their transportation to medical facilities located in the depths of the third logistics zone, the mathematical apparatus of the theory of mass service was used. In particular, we are talking about the devices of queuing systems (QS) and MSN. The existing system of military evacuation of the wounded and sick is a four-tier system in which all wounded with moderate and severe severity are evacuated. Based on this, the system of evacuation of the wounded can be represented as an MSN, which has a number of features. First of all, this MSN is an open queuing network (OQN), i.e. the flow of requests to enter the network is unlimited, homogeneous and comes from an external independent source. As a result of the calculations, data were obtained on the values of network parameters (average number of applications in queues – 119.47 applications/hour, average number of applications in the network – 158.53 applications/hour, average waiting time for applications in queues for service – 11.95 hours, average time of application stay in the network – 15.85 hours) and the parameters of each QS operating in the MSN – transmission coefficient, incoming flow intensity, load factor, average number of busy channels, average number of applications per QS, average queue length, average waiting time for an application in the service queue, average time for an application to stay in the QS. Analysing the calculated data, from the point of view of creating a rational OQN, the casualty evacuation system achieves maximum efficiency when its productivity in processing the incoming flow of requests is maximised, and the minimum values of such parameters as the number of requests for service in the queue and the number of service channels operating in the network are minimal.

A Method for Evaluating Demand Response Potential of Industrial Loads Based on Fuzzy Control

Demand response (DR) can ensure electricity supply security by shifting or shedding loads, which plays an important role in a power system with a high proportion of renewable energy sources. Industrial loads are vital participants in DR, but it is difficult to assess DR potential because of many complex factors. In this paper, a new method based on fuzzy control is given to assess the DR potential of industrial loads. A complete assessment framework including four steps is presented. Firstly, the industrial load data are preprocessed to mitigate the influence of noisy and transmission losses, and then the K-means algorithm considering the optimal cluster number is used to calculate baseline load of industrial load. Subsequently, an open-loop fuzzy controller is designed to predict the response factor of different industrial loads. Three strongly correlated indicators, namely peak load rate, electricity intensity, and load flexibility, are selected as the input of fuzzy control, which represents response willingness. Finally, the baseline load of diverse clustering scenarios and the response factor are used to calculate the DR potential of different industrial loads. The proposed method takes into account both economic and technical factors comprehensively, and thus, the results better represent the available DR potential in real-world situations. To demonstrate the effectiveness of the proposed method, the case of a medium-sized city in China is studied. The simulation focuses on the top eight industrial types, and the results show they can contribute about 189 MW available DR potential.

Advanced resistance exercise combined with aerobic rehabilitation training on cardiopulmonary function

Chronic diseases are the number one killer in the world today, and the most common cause of chronic diseases is lack of exercise. Research on the application of artificial intelligence technology in the medical field can shorten the distance between clinical best practice and practical application, and promote the standardized management of clinicians according to specifications. In this paper, three different exercise methods, continuous aerobic, anaerobic, and control, were used to conduct a 12-week study. This paper discussed the effects of three different forms of exercise on the body shape, body composition, and metabolism of patients with chronic diseases, and discussed the intervention effects of the same exercise mode in different periods (0–6 weeks, 6–12 weeks), to provide a theoretical basis for more effective and targeted choice of exercise intervention programs. Through training load, training frequency, training sequence, training interval, and other factors, a training plan can be designed. To avoid mistakes, experts often try to do some items that are prone to mistakes, especially lung function measurement. The scores of self-care, extraction, standing, occupation/housework, social activities, and total scores were significantly lower than those before intervention (P < 0.01). Advanced resistance kinetic energy can significantly improve the exercise and cardiopulmonary function of patients with various types of chronic diseases. Advanced resistance kinetic energy can significantly promote the strength and explosive force of the shoulder, waist, and back muscles in chronic patients, and can significantly promote the muscle adaptability of the shoulder, waist, and back muscles in chronic patients.

Enhancing Albendazole Delivery Using Mesoporous Santa Barbara Amorphous‐15: A Box‐Behnken Design Study

Over 70% of pharmaceutical compounds face the challenge of poor water solubility, which impacts on their bioavailability. This study focuses on the use of Santa Barbara Amorphous‐15 (SBA‐15) mesoporous silica material as carrier, which is synthesized and characterized to address this limitation. Albendazole (ABZ), an antiparasitic agent with low water solubility, serves as model drug. A Box‐Behnken design (BBD) is used to investigate the impact of immersion method loading factors (temperature: 25–50 °C, time: 24–72 h, and SBA‐15 amount: 83.2–252.0 mg) on drug loading percentage (DL%) and dissolution efficiency (DE%). The ABZ loading is confirmed by elemental analysis and Fourier transform infrared spectroscopy. Stability tests are performed, comparing drug dissolution profiles and X‐ray diffraction patterns immediately after loading and after 12 months of storage at 25 °C and 60% relative humidity (RH%). DL% varies between 18% and 36% (w/w), showing that the amount of SBA‐15 is the most significant factor on DL%. The lowest SBA‐15 amount yielded the highest DL%. Regarding DE%, all the design samples exhibit higher values than pure ABZ, with the amount of SBA‐15 being the primary influencing factor. Several samples from the BBD show high DE% (>70%) corresponding to high DL% values. After 12 months, most samples maintain similar dissolution profiles, demonstrating the good stability of the drug in the carrier over time. This study provides valuable insights into optimizing the loading process to enhance ABZ solubility and long‐term stability using mesoporous SBA‐15.

Trajectory tracking multi-constraint model predictive control of unmanned vehicles based on sideslip stiffness estimation with XGBoost algorithm

When the vehicle is driving at high speed on a slippery road, the sideslip stiffness of the tire which is closely related to the lateral force of the tire, will vary with the change of road conditions, tire inflation pressure, vertical load, and other factors. If the tire sideslip stiffness is set to a fixed value in the control system based on the model design, the uncertainty of the sideslip stiffness will cause a large error with the actual application. Therefore, in order to improve the trajectory tracking accuracy of the vehicle on the slippery road surface under the premise of ensuring the stability of the vehicle, an intelligent vehicle trajectory tracking control strategy considering the influence of sideslip stiffness is designed in this paper. In order to solve the multiple constraints of the vehicle driving on the low-adhesion road surface, a trajectory tracking controller based on the multi-constraint model predictive control algorithm is designed, and then the tire sideslip stiffness estimation strategy is designed based on the XGBoost algorithm, and the estimated sideslip deviation stiffness is added to the trajectory tracking control model. Carsim and MATLAB/Simulink are used to perform co-simulation to verify the accuracy of the proposed tire sideslip stiffness estimation and the tracking performance of the trajectory tracking controller. In order to further verify the reliability of the research content, the relevant working condition tests are carried out on the hardware-in-the-loop platform based on Carsim and LabVIEW, and the effectiveness of the trajectory tracking controller considering the influence of sideslip stiffness is verified.

Developing a Pancasila students' character instrument: Proof of construct validity and estimation of construct reliability

This study aims to prove construct validity and estimate construct reliability of the character scale of Pancasila students by using confirmatory factor analysis. The research approach used is quantitative with a sample of 200 high school students selected at random. This study measured the variables by six aspects, 15 indicators, and 20 questions. The six aspects include faith and piety to God Almighty, global nationality, cooperation, independence, critical reasoning, and creativity. The data analysis technique used is confirmatory factor analysis. The study results concluded that the instrument for assessing the character of Pancasila students in high school had a loading factor of more than 0.4 and a value of more than 0.96 which was declared valid and significant. Likewise, the instrument has been declared fit in testing the goodness of fit model. Thus, this finding indicates that the observed and performance covariance matrices are not significantly different. This study recommends a scale to measure the character of Pancasila students in senior high school.

Analysis of factors affecting employee performance

<span lang="EN-US">A company's human resources are a significant asset for business growth. Performance of working employees determines how far a company advances. This study aims to examine the variables that affect employees' productivity at PT Z. This study uses a quantitative, SEM-PLS methodology. A questionnaire with a 1–5 rating scale was given to 56 randomly selected respondents, who provided the data. The software SmartPLS is then used to examine the data that has been gathered. The study's latent variables included employee performance, job happiness, work culture, and work experience. The findings demonstrated that the composite reliability and AVE values were both greater than 0.5 and 0.7, respectively. Everything created for the model, it can be said, has strong discriminant validity. Each item's loading factor value is more than 0.7, indicating that all the variables are legitimate. The job satisfaction variable in the hypothesis test had no impact on worker performance. Employee performance, meanwhile, is influenced by workplace culture and experience.</span>

Study of the Micro-Vibration Response and Related Vibration Isolation of Complex Traffic Load-Induced Experimental Buildings

In view of the high-sensitivity vibration effect of precision instrument laboratory buildings under the influence of surrounding traffic loads, field micro-vibration tests under various working conditions were carried out based on actual projects. Combined with numerical simulation, measured data served as input loads to simulate the vibration effect of various traffic loads on the floor of a building structure, and the structural vibration laws under the comprehensive action of various loads were analyzed. The vibration isolation effect of the isolation ditch on the oblique orthogonal load was investigated according to the corresponding safety index. The results show that the main frequency components of the site vibration frequency caused by various traffic loads are approximately 25 Hz and that the root-mean-square speed value is stable below VC-E, which meets the design requirements. Under the comprehensive action of multiple loads, the site structure will produce a vibration amplification effect, which is obvious when all types of loads are distributed symmetrically and the curve distribution is controlled by load factors with large amplitudes. The isolation effect of a small isolation ditch is best when it is located close to the source and the building. The depth of the isolation ditch must be greater than the maximum depth of the source to achieve better results, and the width has little influence. The effect of a small isolation trench on vertical vibration is poor, and the oblique orthogonal triaxial load has a counteracting effect on the vertical component. Thus, additional structural vibration isolation measures are needed. The research results provide a reference for engineering vibration isolation, damping measures, and structural design.