Equal Values Research Articles

An Introduction to Bayesian Approaches to Trial Design and Statistics for Stroke Researchers.

While the majority of stroke researchers use frequentist statistics to analyze and present their data, Bayesian statistics are becoming more and more prevalent in stroke research. As opposed to frequentist approaches, which are based on the probability that data equal specific values given underlying unknown parameters, Bayesian approaches are based on the probability that parameters equal specific values given observed data and prior beliefs. The Bayesian paradigm allows researchers to update their beliefs with observed data to provide probabilistic interpretations of key parameters, for example, the probability that a treatment is effective. In this review, we outline the basic concepts of Bayesian statistics as they apply to stroke trials, compare them to the frequentist approach using exemplary data from a randomized trial, and explain how a Bayesian analysis is conducted and interpreted.

Theory of similarity and ultrasonic testing

Application of similarity theory (dimensional analysis) to ultrasonic (UT) testing is discussed using as an illustration the example of concrete blocks. The concept of dimensional analysis makes it possible to represent a physical system via a minimal set of variables, the so-called π groups, which are the dimensionless quantities. These dimensionless parameters, characterizing the respective phenomenon, should have approximately equal values for the real object and for the model. Small concrete samples have been tested in the lab conditions using various UT probes and techniques. Two dimensionless criteria, valid and similar for the real field case and for the laboratory samples, have been introduced: total attenuations of UT waves and ratios of void size to the UT wavelength. To get total attenuations in the field conditions for thick concrete block, similar to the total attenuations measured in lab experiments on small samples, one should apply the low-frequency UT waves 60-100kHz. However, these UT waves will be able to reliably detect only the large inhomogeneities (e.g. voids), whose size is about half of the used UT wave, i.e. inhomogeneities with dimensions larger than 20-40mm.

Bidding behaviour in experimental auctions under risk and uncertainty

AbstractThis paper explores bidding behaviour under risk and uncertainty using the Becker-DeGroot-Marschak mechanism (BDM) and second price auction (SPA). It investigates whether values elicited via the two mechanisms are consistent and whether bidding behaviour can be influenced by differences in the number and type of sources of risk and uncertainty that people face when exposed to the two mechanisms. In our experiment, subjects are exposed to non-monetary lotteries where they bid for a high-quality seafood product, but there is a chance (known or unknown) that they receive a lower quality seafood product instead. Results indicate that bidding behaviour can be influenced by the number and type of sources of risk and uncertainty that subjects face and subjects’ bidding behaviour is only consistent with standard theories of decision making under risk and uncertainty when they bid on a risky product in the SPA. Despite this, BDM and SPA elicit equal values under risk and uncertainty in this study.

EVALUATION OF THE TOXIC POTENTIAL OF GRAMOXONE HERBICIDE ON THE WEIGHT AND LIVER OF ALBINO RATS.

This research was carried out to evaluate the effect of diluted gramoxone herbicide at a dilution factor of 104 in a 10-fold serial dilution in graded doses of 0.25, 0.5 and 0.75 mg/kg b.w on male and female rats. Forty male and female rats of weights 79g to 119g were divided into group A, B, C and D. Each group contains 5 males and 5 females. Control group A and 0.25,0.5 and 0.75 mg/kg b.w orally treated rats in group B, C, and D were fed with pelletized feeds and water ad libitum for 28 days respectively. The rats were allowed to starve a day and weighed prior to sacrifice. Blood samples were collected in EDTA bottles. Result showed a decrease in AST, ALT, ALP in all treated groups in male rats, a decrease in AST in all treated groups, in ALT in group B and C (p>0.05) but an increase in ALT in group D and an increase in ALP in all treated group in female rats (p<0.05) compared with control. TP showed a decrease in all treated group in male rats (p<0.05) measured with control. Albumin decreased/increased in group B/C in male rats, increased in group C and equal values in group B and D in male and female rats compared with control. There was an increased in weight in all treated groups and mild inflammatory effects on the liver tissue in group B and D. The results further registered gramoxone herbicide having paraquat as active ingredient toxic to the liver even at a much diluted state and at low doses.

In vitro germination and establishment of Platonia insignis Mart. from immature fruit and seed rescue

Platonia insignis Mart. is a species native to the Brazilian Amazon that has fruits of high commercial value and potential use in the cosmetic and pharmaceutical industries. However, the techniques for its propagation are limited. In the present study, we aimed to establish P. insignis in vitro by germinating immature seeds from the fruit. Immature fruits were collected, disinfected, and their seeds were placed in the following culture media (50 mL): agar + distilled water; MS0 (no growth regulators); MS + 1 μM BAP; MS + 2 μM BAP; MS + 3 μM BAP; MS + 1 μM GA3; MS + 2 μM GA3; and MS + 3 μM GA3 in a growth chamber at 24 ± 2 ºC in the dark, until shoot emergence. Callus formation, oxidation, germination, number of seedlings, shoot emergence, radicle, and shoot length were measured every 15 days after inoculation (DAI). At 60 DAI, seedlings grown without growth regulators had higher or equal values for all variables than those cultivated with growth regulators. The in vitro germination and establishment of P. insignis were efficient and feasible and could contribute to its domestication by reducing the germination time to approximately 60 days, producing homogeneous plants in a short period, and making it possible to explore other biotechnological techniques for this species.

An Overview of Integrated Risk Factors with Prevention and Prevalence of Asthma at the Global Level

Abstract: Bronchial asthma is one of the most common chronic illnesses in childhood, adulthood and pregnancy with a current occurrence of 6-9 percent, but at an alarming rate of increase. Asthma is a complex genetic disorder that is heavily affected by the environment. In association with significant morbidity, quality of life, and healthcare costs, it is putting an increasing strain on our society. Some factors related to pregnancy, i.e., diet-related, antibiotic uses, and stress; childhood risk factors, i.e., lung function, exposure to smoking, animal etc. and adulthood risk factor, i.e., pollution-related etc., are responsible for trends in incidence and mortality due to asthma at a Global level and Indian population. Data were collected from PubMed, Web of Sciences, CINHAL, WHO Clinical trial register, Google Scholar, and official websites of various asthma societies and statistically analyzed using ANOVA tests. Data were analyzed for India and the specific population of the northern region of India during the last five years. Risk factors related to asthma at different stages, i.e., genetic, pregnancy, childhood, and adulthood, were reviewed, and the prevalence of asthma at the Global level, India and northern India, was analyzed and compared. The mean Global prevalence of asthma was found to be 281.3±14.7 (SD), whereas, for India, it was 22.78±8.605. After applying One Way ANOVA, a significant difference (t=48.44, df=4) was found between the Global and Indian prevalence of asthma, i.e., the mean difference of 259.7±11.99. The mean value was found highest in Delhi and Rajasthan, having values of 19.74±11.79 and 13.58±9.47, whereas Chandigarh and Uttar Pradesh recorded asthma’s prevalence as 11.87±7.83 and 4.32±2.32 respectively. Himachal and Haryana acquired almost equal values of asthma at 1.67±0.13 and 1.23±0.33. Abstract: Bronchial asthma is one of the most common chronic illnesses in childhood, adulthood and pregnancy with a current occurrence of 6-9 percent, but at an alarming rate of increase. Asthma is a complex genetic disorder that is heavily affected by the environment. In association with significant morbidity, quality of life, and healthcare costs, it is putting an increasing strain on our society. Some factors related to pregnancy, i.e., diet-related, antibiotic uses, and stress; childhood risk factors, i.e., lung function, exposure to smoking, animal etc. and adulthood risk factor, i.e., pollutionrelated etc., are responsible for trends in incidence and mortality due to asthma at a Global level and Indian population. Data were collected from PubMed, Web of Sciences, CINHAL, WHO Clinical trial register, Google Scholar, and official websites of various asthma societies and statistically analyzed using ANOVA tests. Data were analyzed for India and the specific population of the northern region of India during the last five years. Risk factors related to asthma at different stages, i.e., genetic, pregnancy, childhood, and adulthood, were reviewed, and the prevalence of asthma at the Global level, India and northern India, was analyzed and compared. The mean Global prevalence of asthma was found to be 281.3±14.7 (SD), whereas, for India, it was 22.78±8.605. After applying One Way ANOVA, a significant difference (t=48.44, df=4) was found between the Global and Indian prevalence of asthma, i.e., the mean difference of 259.7±11.99. The mean value was found highest in Delhi and Rajasthan, having values of 19.74±11.79 and 13.58±9.47, whereas Chandigarh and Uttar Pradesh recorded asthma’s prevalence as 11.87±7.83 and 4.32±2.32 respectively. Himachal and Haryana acquired almost equal values of asthma at 1.67±0.13 and 1.23±0.33.

TypeFormer: transformers for mobile keystroke biometrics

The broad usage of mobile devices nowadays, the sensitiveness of the information contained in them, and the shortcomings of current mobile user authentication methods are calling for novel, secure, and unobtrusive solutions to verify the users’ identity. In this article, we propose TypeFormer, a novel transformer architecture to model free-text keystroke dynamics performed on mobile devices for the purpose of user authentication. The proposed model consists in temporal and channel modules enclosing two long short-term memory recurrent layers, Gaussian range encoding, a multi-head self-attention mechanism, and a block-recurrent transformer layer. Experimenting on one of the largest public databases to date, the Aalto mobile keystroke database, TypeFormer outperforms current state-of-the-art systems achieving equal error rate values of 3.25% using only five enrolment sessions of 50 keystrokes each. In such way, we contribute to reducing the traditional performance gap of the challenging mobile free-text scenario with respect to its desktop and fixed-text counterparts. To highlight the design rationale, an analysis of the experimental results of the different modules implemented in the development of TypeFormer is carried out. Additionally, we analyse the behaviour of the model with different experimental configurations such as the length of the keystroke sequences and the amount of enrolment sessions, showing margin for improvement.

Two-Input Single-Output Boost Converter with Fault Tolerant Operation

The need for multi-input DC-DC converters is highly demanded in the context of the integration of different energy sources. When integrating several energy sources, such as batteries, solar PV arrays, fuel cells, etc., multi-input DC-DC converters preferred over multiple single-input DC-DC converters. The vast majority of MISO converters in use today only have one mode of operation, which is conventional operation using all sources. Very few MISO topologies have been presented with fault-tolerant capability. In this work, a non-isolated two-input single-output (MISO) boost converter is investigated for low-voltage DC (LVDC) applications with fault tolerant capability. The presented converter works in three modes, such as DC sources of equal values, DC sources of unequal values, and one of the DC sources that is faulty or out of order. The converter is simulated in a MATLAB/Simulink environment and experimentally validated using a scaled prototype. The outcomes demonstrate that the converter can integrate systems with two DC energy sources, accommodates DC sources of equal values, DC sources of unequal values, and works even when one of the DC sources is faulty or out of order. This work points out that the presented MISO converter would be an apt solution for integrating varying input voltage sources with fault-tolerant capability.

Image encryption framework based on multi-chaotic maps and equal pixel values quantization

Image encryption framework based on multi-chaotic maps and equal pixel values quantization

Predictive Approach to the Phase Behavior of Polymer–Water–Surfactant–Electrolyte Systems Using a Pseudosolvent Concept

A predictive approach to the phase behavior of four-component polymer–water–surfactant–electrolyte systems is formulated by viewing the four-component system as a binary polymer–pseudosolvent system, with the pseudosolvent representing water, surfactant, and the electrolyte. The phase stability of this binary system is examined using the framework of the lattice fluid model of Sanchez and Lacombe. In the lattice fluid model, a pure component is represented by three equation-of-state parameters: the hard-core volume of a lattice site (v*), the number of lattice sites occupied by the component (r), and its characteristic energy (ε*). We introduce the extra-thermodynamic postulate that r and v* for the pseudosolvent are the same as for water and all surfactant–electrolyte composition-dependent characteristics of the pseudosolvent can be represented solely through its characteristic energy parameter. The key implication of the postulate is that the phase behavior of polymer–pseudosolvent systems will be identical for all pseudosolvents with equal values of characteristic energy, despite their varying real compositions. Based on the pseudosolvent model, illustrative phase diagrams have been computed for several four-component systems containing alkyl sulfonate/sulfate surfactants, electrolytes, and anionic or nonionic polymers. The pseudosolvent model is shown to describe all important trends in experimentally observed phase behavior pertaining to polymer and surfactant molecular characteristics. Most importantly, the pseudosolvent model allows one to construct a priori phase diagrams for any polymer–surfactant–electrolyte system, knowing just one experimental composition data for a system at the phase boundary, using available thermodynamic data on surfactants and electrolytes and without requiring any information on the polymer.

Limit Cycle Oscillating Detonation Wave Behavior Analysis Within a Rotating Detonation Engine

Limit cycle oscillation (LCO) detonation wave behaviors are presented and analyzed for test times exceeding 20 s in a water-cooled rotating detonation engine (RDE). LCO detonation waves exhibit cyclic acceleration and deceleration, resulting in oscillating wave spacing at unique process conditions. In previous RDE studies, similar behaviors have been studied as microsecond-scale instabilities leading to ascending or descending modal transitions. In the current work, however, LCO waves are considered a persistent wave mode, occupying unique portions of the operational envelope adjacent to those of their equally spaced counterparts. These occurrences of LCO waves are repeatable, enduring behaviors. A method to generate shifted contour surfaces specifically intended to extract and analyze wave spacing variation through time, termed limit cycle oscillation visualization (LCOV) surfaces, is presented. LCOV surfaces transform data into the reference frame of a primary traveling wave and are used to analyze quasi-steady, short-timescale, and transitional LCO modes. Results are leveraged to understand the relationship between fill height, wave strength, local wave acceleration, and subsequent LCO wave spacing for individual wave sets. Quasi-steady LCO waves display wave spacing oscillations between equal spacing values associated with ±1 wave across runs exceeding 18 s.

Impact of sugar reduction on the glass transition temperature and sorption isotherm of freeze-dried tomato powder

The objective of this work was to improve the drying of tomato juices after identifying the main parameters that are responsible for sticking during drying. Glass transition temperature (Tg) which is one of the key parameter, depends on the juice composition, mainly sugar. In order to reduce sugar, centrifugation was applied to the juices. Tg was determined by differential scanning calorimetry (DSC) for freeze-dried tomato juice and tomato pellet conditioned at various water activity (aw) (0.1–0.5). The glass transition curve showed that Tg decreased with increasing of the moisture. Comparison of powders obtained by juice and pellet from centrifugation shows that the Tg of freeze-dried pellets is higher than that of juice at equal aw values. Adsorption isotherms of freeze-dried tomato juice and pellet were determined at 25 °C and a relative humidity (RH) of 0–98% using a dynamic technique. The data obtained were fitted to GAB model that best fitted the experimental data. The equilibrium moisture content (X) value of the freeze-dried pellets are lower and had the same value of 8% dry mass. X is lower because the pellet powders are less hygroscopic than tomato juice powders because of the reduction of soluble compounds by centrifugation, notably sugars. Reducing the product sugar content by centrifugation enables to raise Tg without using carriers and obtain less hygroscopic powders, which is advantageous for product storage.

A curved layering algorithm based on voxelization and geodesic distance for robotic GMA additive manufacturing

ABSTRACT Curved layering has become one of the current research hotspots for its unique advantages. In order to improve the adaptability and accuracy, this paper proposes a new curved layering and path planning algorithm based on voxelization and geodesic distance. High density discrete points are used to approximate the shortest path, voxelization and new optimized search algorithm are adopted to obtain the geodesic distance field within stereolithography (STL) model. Curved layers are formed from points with equal geodesic distance values. The developed algorithm overcomes the limitations of the existing facet offsetting method. Moreover, robot positioner angle planning strategies are exploited to achieve good formation for support-free curved layers of spatial overhang characteristics. The results of comparative analysis and verification experiment indicate that the algorithm accuracy is not affected by the size and intersection angle of the triangles, satisfies the high-precision requirements for parts with curved surface in robotic GMA additive manufacturing.

Permutation time irreversibility in sleep electroencephalograms: Dependence on sleep stage and the effect of equal values.

Time irreversibility (TIR) refers to the manifestation of nonequilibrium brain activity influenced by various physiological conditions; however, the influence of sleep on electroencephalogram (EEG) TIR has not been sufficiently investigated. In this paper, a comprehensive study on permutation TIR (pTIR) of EEG data under different sleep stages is conducted. Two basic ordinal patterns (i.e., the original and amplitude permutations) are distinguished to simplify sleep EEGs, and then the influences of equal values and forbidden permutation on pTIR are elucidated. To detect pTIR of brain electric signals, five groups of EEGs in the awake, stages I, II, III, and rapid eye movement (REM) stages are collected from the public Polysomnographic Database in PhysioNet. Test results suggested that the pTIR of sleep EEGs significantly decreases as the sleep stage increases (p<0.001), with the awake and REM EEGs demonstrating greater differences than others. Comparative analysis and numerical simulations support the importance of equal values. Distribution of equal states, a simple quantification of amplitude fluctuations, significantly increases with the sleep stage (p<0.001). If these equalities are ignored, incorrect probabilistic differences may arise in the forward-backward and symmetric permutations of TIR, leading to contradictory results; moreover, the ascending and descending orders for symmetric permutations also lead different outcomes in sleep EEGs. Overall, pTIR in sleep EEGs contributes to our understanding of quantitative TIR and classification of sleep EEGs.

Experimental analysis of the performance of cooling plates with different channel shapes during transient laminar refrigeration

There are numerous applications in which the proper operation of cooling systems affects the performance and the durability of electronic devices. The temperature distribution throughout the units and its maximum value severely affects their operation. Flat metallic plates with an inner channel through which a coolant flows are a suitable solution for refrigerating these devices. Five different channel shapes, considering both traditional and novel configurations, were experimentally tested for transient cooling operation in a laminar flow regime. The effect of the fluid velocity on the refrigeration capacity was studied for Reynolds numbers ranging from 750 to 2000. In addition, the pressure drop of the fluid circulating along the channel for each configuration was measured as a function of the Reynolds number. For a fair comparison between the different channel shapes, the pressure drop was used to determine the pumping power required to pump the coolant, analyzing the effect of the channel shape for equal values of the pumping consumption. A novel configuration, the cruciform channel shape, provided the most uniform temperature distribution, increasing the homogeneity of the plate temperature by 19–26% and reducing the refrigeration time by 9–13% compared to the traditional configurations.

Elucidating the influence of the lower and upper microbiological limits: When is a 3-class sampling plan useful to test for pathogens in food?

The potential advantages of using 3-class sampling plans in the management of pathogens in food has been discussed for years. Using a 3-class plan, some lots would be accepted if, among a total number of samples n, the pathogen was detected in no more than a predefined number of samples c (such as c = 1) exceeding a microbiological limit m, and no sample was at a level above a predefined maximal concentration M. We built upon and extended beyond published methodologies and developed a web application to evaluate the performance of 2-class and 3-class sampling plans. We showed that there is little benefit of a 3-class plan over a 2-class plan with equal values for m, n and c under the classical assumption of a lognormal distribution of bacteria concentration in the lot with a standard deviation of 0.8 log cfu/g, for m value set to “absence in 25g” and M set to values > 1 cfu/g. In this situation, the lot will almost always be rejected based on the criterion “>c detected samples” and will almost never (or seldom) be rejected based on only the criterion “at least one sample > M cfu/g”. However, the benefit of a 3-class plan is realized when the distribution of pathogens is not a simple lognormal but includes a proportion of samples contaminated beyond the lognormal distribution, at levels > M. When this is the case, the performance of a 3-class plan relative to the 2-class plan with equal values of m, n, and c improves, then becomes essentially equivalent, as the proportion of highly contaminated samples increases. The behavior of 3-class plan may be useful in such situations. While such distributions of pathogens have been observed across lots in the food supply, better characterization of within-lot contamination distribution in food is needed to better evaluate the performance of sampling plans.

Post-COVID-19 patients in geriatric rehabilitation substantially recover in daily functioning and quality of life.

After an acute infection, older persons may benefit from geriatric rehabilitation (GR). This study describes the recovery trajectories of post-COVID-19 patients undergoing GR and explores whether frailty is associated with recovery. Multicentre prospective cohort study. 59 GR facilities in 10 European countries. Post-COVID-19 patients admitted to GR between October 2020 and October 2021. Patients' characteristics, daily functioning (Barthel index; BI), quality of life (QoL; EQ-5D-5L) and frailty (Clinical Frailty Scale; CFS) were collected at admission, discharge, 6weeks and 6months after discharge. We used linear mixed models to examine the trajectories of daily functioning and QoL. 723 participants were included with a mean age of 75 (SD: 9.91) years. Most participants were pre-frail to frail (median [interquartile range] CFS 6.0 [5.0-7.0]) at admission. After admission, the BI first steeply increased from 11.31 with 2.51 (SE 0.15, P< 0.001) points per month and stabilised around 17.0 (quadratic slope: -0.26, SE 0.02, P< 0.001). Similarly, EQ-5D-5L first steeply increased from 0.569 with 0.126 points per month (SE 0.008, P< 0.001) and stabilised around 0.8 (quadratic slope: -0.014, SE 0.001, P< 0.001). Functional recovery rates were independent of frailty level at admission. QoL was lower at admission for frailer participants, but increased faster, stabilising at almost equal QoL values for frail, pre-frail and fit patients. Post-COVID-19 patients admitted to GR showed substantial recovery in daily functioning and QoL. Frailty at GR admission was not associated with recovery and should not be a reason to exclude patients from GR.

Assessing Groundwater Sustainability in the Arabian Peninsula and Its Impact on Gravity Fields through Gravity Recovery and Climate Experiment Measurements

This study addresses the imperative to comprehend gravity shifts resulting from groundwater storage (GWS) variations in the Arabian Peninsula. Despite the critical importance of water resource sustainability and its relationship with gravity, limited research emphasizes the need for expanded exploration. The investigation explores the impact of GWS extraction on the gravity field, utilizing Gravity Recovery and Climate Experiment (GRACE) and Global Land Data Assimilation System (GLDAS) data in addition to validation using the WaterGAP Global Hydrology Model (WGHM). Spanning April 2002 to June 2023, this study predicts GWS trends over the next decade using the Seasonal Autoregressive Integrated Moving Average (SARIMA) model. The comprehensive time-series analysis reveals a significant GRACE-derived groundwater storage (GWS) trend of approximately −4.90 ± 0.32 mm/year during the study period. This trend has a notable impact on the gravity anomaly (GA) values, as observed through the decomposition analysis. The projected GWS indicates a depletion rate of 14.51 km3/year over the next decade. The correlation between GWS and GA is substantial at 0.80, while the GA and rainfall correlation is negligible due to low precipitation rates. Employing multiple linear regression explains 80.61% of the variance in gravity anomaly due to GWS, precipitation, and evapotranspiration. This study investigates climate change factors—precipitation, temperature, and evapotranspiration—providing a holistic understanding of the forces shaping GWS variations. Precipitation and evapotranspiration exhibit nearly equal values, limiting GWS replenishment opportunities. This research holds significance in studying extensive GWS withdrawal in the Arabian Peninsula, particularly concerning crust mass stability.

The Method of the Probability Analysis of Area with Dissolved Gases in Power Transformer Insulating Oil

Transformer insulating oil plays an extremely important role in power transformers and is used for insulation, arc suppression, cooling and other purposes. However, its other focus is on dissolved gases analysis in the oil to monitor internal operating conditions, which is the responsibility of preventive maintenance. This paper uses the normal distribution theory and the American National Standard Specification (hereinafter referred to as ANSI/IEEE C57.104) to reorganize as a diagnostic tool. The range of each gas from three stages of the specification - normal, caution, and abnormal are incorporated to a stage of abnormal, which divide into equal different values of 1000 as the maternal body of a qualitative normal distribution. Then the benchmark is been calculated from those parameters of a qualitative normal distribution. The data of detection has to pass through "Gas chromatography” to generate dissolved gases. At last, the benchmark value compares with dissolved gases to find the abnormal probability value as a diagnostic tool in maintenance evaluation of equipment. This method was developed using EXCEL application software, and repeatedly tested and verified with examples to confirm its feasibility and high accuracy. In addition, 10 cases accident data were extracted from the literature [11], and compared with the actual maintenance results. The accuracy was 80% for ANSI/IEEE C57.104 and 90% for this probability method. Therefore, this diagnostic method can replace the traditional multi-stage judgment and be represented by a single probability value to show. Based on technology sharing, the development process is specially written into a technical article as reference by scholars and electrical maintenance personnel in the field of power engineering.&#x0D; Design Methods: Making a qualitative normal distribution employs EXCEL software and the discriminative rule of ANSI/IEEE C57.104. Design Purpose: As a diagnostic tool with dissolved gases in insulating oil. Design Effectiveness: Probability Method is better than traditional; it has those efficacies - the accuracy and feasibly and compete with tried and tested actual case.

Impedance matching design of capacitively coupled plasma with fluid and external circuit coupled model

AbstractThis paper establishes a fully self‐consistent coupled model of fluid and external circuits. The Kirchhoff equation, the charge conservation equation, and Poisson equation are coupled via boundary conditions and integrated into the fluid model for iterative parameter solution. On the basis of this model, we investigate the influence of impedance matching on single‐frequency capacitively coupled plasma characteristics under different parameters and topological structures. The findings suggest that after several iterations the matching parameters converge. Using different initial circuit parameters, the adjustable capacitance and inductance are eventually adjusted to approximately equal values, resulting in the same optimal matching state, whereas diverse discharge parameters led to different outcomes. Under fixed parameters for two topologies, the power absorption efficiency increases, and the reflection coefficient approaches zero, and the best matching is found. This model can be extended to different fluid programs to investigate the impact of complex external circuits with impedance matching network on plasma discharge while simultaneously seeking best impedance matching.