Mutual Influence Research Articles

Mutual Influence in Citation and Cooperation Patterns

Mutual Influence in Citation and Cooperation Patterns

СОВЕРШЕНСТВОВАНИЕ УПРАВЛЕНИЯ СРЕДСТВАМИ В РАСЧЕТАХ КОММЕРЧЕСКИХ ОРГАНИЗАЦИЙ

The methodology for assessing and diagnosing the organization's credit policy has been improved – a system of indicators has been structured and supplemented to quantify the state and mutual influ-ence of funds in calculations aimed at identifying income growth reserves without additional investments

Interdisciplinary team members’ experiences of family meetings in an Irish rehabilitation hospital: a social work action-research project

This study set out to gain a better understanding of how family meetings are facilitated and experienced in an Irish rehabilitation hospital setting from the perspectives of interdisciplinary team (IDT) members, patients and their family members. This article reports the findings from IDT members’ perspectives. A critical-realist action-research approach was utilised that involved medical social workers (N = 15) and a social work academic. A quantitative, descriptive study design was adopted, which utilised a cross-sectional survey of IDT members. A total of 85 clinical staff responded to the questionnaire, of which 69 were fully completed. Four key themes emerged: pre-meeting engagement and preparation – a critical step; the impact of organisational structures; supporting participation; and mechanisms for effective family meetings. Findings indicate the importance of pre-meeting preparation, the mutuality of the relationships between participants, a standardised approach and the use of patient-centred and inclusive practices to achieve truly participatory family meetings. Family meetings involve complex processes in which mutual influence, context, preferences, values, information shared, the nature of the relationships involved and the communicative style of participants all play significant roles in both the process and decision-making outcomes. This study concluded that social workers are perhaps in a unique position to work with IDTs in clarifying the reality of the limits of choice and the involvement of the patient and family in rehabilitation hospital settings. In preparation for the role of family-meeting facilitation, the implementation of education and training programmes for IDT members is strongly recommended.

X საუკუნის რაჭის კანკელების მცენარეული ორნამენტების უცხოური ანალოგიების დადგენის მცდელობა

Figurative-ornamental relief samples of artistic processing of Racha stone of the 10th century are united in three individual workshops of different chronological stages on the basis of artistic-stylistic similarity. In the decoration of these monuments, including stone iconostases, it is worth noting the diverse ornamental repertoire built on plant-geometric motifs. Of the above mentioned, several characteristic motifs of plant ornament of Racha stone iconostases of the 10th century are presented. They are discussed in the context of comparison with parallel materials of other modern Georgian monuments. On the basis of comparative analysis of the monuments of Italy, Croatia, Iraq, Afghanistan, Syria and Egypt in stone, wood material and stucco of the 8th-9th centuries, the issue of the existence of foreign analogies of decorative motifs used in Georgian examples is confirmed. Which, in a broad historical-cultural context, should indicate the links of Georgian art of the 10th century with modern Eastern and Western civilizations and, accordingly, the mutual influence of artistic trends characteristic of the era.

Reciprocal longitudinal relations between self-efficacy and coping style: The explanatory mechanism of future self-continuity.

It has been demonstrated that self-efficacy and coping styles are related. However, whether there is a reciprocal longitudinal relation between self-efficacy and coping styles needs to be examined. In this longitudinal study, we tested the reciprocal impacts of self-efficacy and coping styles, taking into account the role of future self-continuity (FSC) in these effects. The sample included 346 university students in central and southwestern China (48.3% female; Mage = 21.20). Three waves of questionnaire data were collected at half-year intervals. Cross-lagged models were adopted for data analysis. Self-efficacy at Waves 1 and 2 positively predicted positive coping style at Waves 2 and 3, and positive coping style at Waves 1 and 2 positively predicted self-efficacy at Waves 2 and 3. Self-efficacy at Waves 1 and 2 negatively predicted negative coping style at Waves 2 and 3, while negative coping style at Waves 1 and 2 did not significantly predict self-efficacy at Waves 2 and 3. These results indicated the reciprocal causation of self-efficacy and coping styles. Additionally, the mediation analysis revealed that FSC at Wave 2 played a mediating role in the unidirectional association between self-efficacy at Wave 1 and negative coping style at Wave 3. These findings suggest that self-efficacy and coping style have mutual influences over time partly explained by university students' FSC. Consequently, the results offer potential applied value for promoting positive coping strategies among university students.

Setting the Public Sentiment: Examining the Relationship between Social Media and News Sentiments

This study investigates whether news sentiment plays a role in setting social media sentiment to explore the dynamics of sentiment develop and diffusion within the public agenda. Based on the agenda-setting theory, this study analyzed the public and media sentiments towards the 2016 US election and the candidates using data from Twitter, CNN, and Fox News. Focusing on the Twitter messages created by the supporters of Hillary Clinton and Donald Trump, over 1.3 million Twitter messages were collected associated with the election, employing hashtags as indicators of support. The Granger causality test between social media and news sentiments revealed that there is a mutual influence between social media and news sentiments; CNN’s overall sentiment was influenced by the sentiment of Hillary Clinton’s supporters, whereas Trump supporters’ sentiment was influenced by Fox News’ negative sentiment. The results suggest that public sentiment is formed in response to public agenda and mass media, indicating that sentiment is a critical component in understanding public opinion. Implications for future studies and limitations are also discussed.

A multi-objective optimization model for medical waste recycling network design under uncertainties

Transporting medical waste (MW) generated by medical institutions (MIs) is a process that poses potential threats to the environment and public safety. Therefore, it is vital to find a safe and efficient way to transport this type of waste to disposal centers (DCs). However, there are challenges in the transportation of MW due to random factors such as the generation of waste in an unpredictable manner and unforeseen travel times. In this paper, we propose a bi-level optimization model to minimize site selection costs, transportation costs, time-window penalties costs, and transportation risks under uncertainties. The concepts of “loading reliability”, “travel time reliability” and “transportation risk” are adopted in the proposed optimization model. The simulated annealing algorithm (SA) is employed to address the optimal location problem (Upper level), which involves minimizing the construction cost, transportation cost (DC-CP-DC), and transportation risk (estimated using Bayesian method). To tackle the capacity-constrained vehicle routing problem considering transportation risk and time window penalties (Lower level), we propose an improved genetic algorithm named harmony search algorithm (IHSGA). Subsequently, the results from the lower level are looped back to the upper level, fostering mutual influence between the two stages. We demonstrate the effectiveness and correctness of the proposed model and algorithm using S city in China as an illustrative example. Furthermore, a series of sensitivity analyses were conducted to examine the impact of various factors. The findings highlight the pivotal roles of both travel time reliability and loading reliability in designing the medical waste recycling network. In comparison to the general Genetic Algorithm (GA) and CPLEX solver, the modified IHSGA presented in this paper exhibits superior performance.

Body fluids should be identified before estimating the time since deposition (TsD) in microbiome-based stain analyses for forensics.

Identification and the time since deposition (TsD) estimation of body fluid stains from a crime scene could provide valuable information for solving the cases and are always difficult for forensics. Microbial characteristics were considered as a promising biomarker to address the issues. However, changes in the microbiota may damage the specific characteristics of body fluids. Correspondingly, incorrect body fluid identification may result in inaccurate TsD estimation. The mutual influence is not well understood and limited the codetection. In the current study, saliva, semen, vaginal secretion, and menstrual blood samples were exposed to indoor conditions and collected at eight time points (from fresh to 30 days). High-throughput sequencing based on the 16S rRNA gene was performed to characterize the microbial communities. The results showed that a longer TsD could decrease the discrimination of different body fluid stains. However, the accuracies of identification still reached a quite high value even without knowing the TsD. Correspondingly, the mean absolute error (MAE) of TsD estimation significantly increased without distinguishing the types of body fluids. The predictive TsD of menstrual blood reached a quite low MAE (1.54 ± 0.39 d). In comparison, those of saliva (6.57 ± 1.17 d), semen (6.48 ± 1.33 d), and vaginal secretion (5.35 ± 1.11 d) needed to be further improved. The great effect of individual differences on these stains limited the TsD estimation accuracy. Overall, microbial characteristics allow for codetection of body fluid identification and TsD estimation, and body fluids should be identified before estimating TsD in microbiome-based stain analyses.IMPORTANCEEmerged evidences suggest microbial characteristics could be considered a promising tool for identification and time since deposition (TsD) estimation of body fluid stains. However, the two issues should be studied together due to a potential mutual influence. The current study provides the first evidence to understand the mutual influence and determines an optimal process for codetection of identification and TsD estimation for unknown stains for forensics. In addition, we involved aged stains into our study for identification of body fluid stains, rather than only using fresh stains like previous studies. This increased the predictive accuracy. We have preliminary verified that individual differences in microbiotas limited the predictive accuracy of TsD estimation for saliva, semen, and vaginal secretion. Microbial characteristics could provide an accurate TsD estimation for menstrual blood. Our study benefits the comprehensive understanding of microbiome-based stain analyses as an essential addition to previous studies.

Bilateral treaty networks: assessing cooperative spillover in defense and investment

AbstractThe potential for mutual influence or “spillover” between economic and security cooperation is a long-standing area of interest for policymakers and scholars alike. This paper examines how network dynamics affect spillover. We focus on two prominent types of formal bilateral cooperation—defense cooperation agreements (DCAs) and bilateral investment treaties (BITs)—both of which have proliferated dramatically in the post-Cold War international system. We argue that existing theoretical and empirical approaches to economic-security spillover focus too strictly on influences at the bilateral level. As with other forms of international cooperation, BITs and DCAs comprise larger international networks. Governments develop portfolios of BITs or DCAs with distinct structural goals in mind, and they implement specific strategies in pursuing those goals. With BITs, governments follow a network-hierarchy strategy that allows them to influence treaty design and protect their firms. In DCAs, governments instead favor a network-community strategy focused on pooling collective security goods among groups of like-minded collaborators. When these network strategies complement one another, they promote cooperative economic-security spillover. When they conflict, however, they inhibit spillover, such that cooperation in economic or security issues discourages cooperation in the opposing issue area.

Left-right Myosin-Is, Myosin1C, and Myosin1D exhibit distinct single molecule behaviors on the plasma membrane of Drosophila macrophages.

Left-right (LR) asymmetry is crucial for animal development, particularly in Drosophila where LR-asymmetric morphogenesis of organs hinges on cellular-level chirality, termed cell chirality. In this species, two class I myosins, Myosin1D (Myo1D), and Myosin1C (Myo1C), respectively determine dextral (wild type) and sinistral (mirror image) cell chirality. Previous studies demonstrated Myo1D's ability to propel F-actin in leftward circles during in vitro gliding assays, suggesting its mechanochemical role in defining dextral chirality. Conversely, Myo1C propels F-actin without exhibiting LR-directional preference in this assay, suggesting at other properties governing sinistral chirality. Given the interaction of Myo1D and Myo1C with the membrane, we hypothesized that differences in their membrane behaviors might be critical in dictating their dextral or sinistral activities. In this study, employing single-molecule imaging analyses, we investigated the dynamic behaviors of Myo1D and Myo1C on the plasma membrane. Our findings revealed that Myo1C exhibits a significantly greater proportion of slow-diffusing population compared to Myo1D. Importantly, this characteristic was contingent upon both head and tail domains of Myo1C. The distinct diffusion patterns of Myo1D and Myo1C did not exert mutual influence on each other. This divergence in membrane diffusion between Myo1D and Myo1C may be crucial for dictating cell and organ chirality.

Study on the gas phase migration and distribution characteristics in horizontal well air sparging remediation

Horizontal well air sparging (AS) technology has been proven to be efficient in remediating saturated soils and groundwater contaminated with volatile organic compounds (VOCs). Nevertheless, the airflow patterns and the mechanisms governing uniformity in the horizontal well AS process remain elusive, and a quantitative characterization of the zone of influence (ZOI) has yet to be determined. In this study, we employed both model experiments and numerical simulations to investigate the distribution patterns of lateral airflow in horizontal air sparging tubes within a porous medium. The influence of parameters such as air sparging pressure, groundwater flow, the inclination angle of the air sparging tubes, and the diameter of the medium particles on the distribution patterns of gas-phase transport in horizontal well AS was analyzed. The results show that both groundwater flow and the inclination of air sparging tubes disrupt the uniformity of gas distribution. The ZOI area of AS is observed as an oblong shape in the horizontal plane and a parabolic contour along the boundaries. Additionally, a mutual influence is identified between groundwater flow and AS airflow. Furthermore, the inclination of air sparging tubes results in the formation of preferential flow near the air source end. The ZOI of horizontal AS demonstrates a positive correlation with air sparging pressure and a negative correlation with medium particle diameter. All of the results elucidated above provide valuable information for the design and theoretical modelling of AS within horizontal wells for groundwater remediation.

Determination of the Surface-Rate Coefficients of Deuterium Through Nickel by Gas-Driven Permeation Experiments in Surface-Limited Regime

Tritium permeation through structural materials of fusion reactors is an important issue from both safety and tritium self-sufficiency points of view. Mutual influences among hydrogen isotopes are also important in assessments of tritium permeation fluxes, and although some theoretical and experimental works have been carried out so far—which have all focused on steady-state permeation—their conclusions are insufficiently clear about how one isotope affects the permeation of another. This was motivation to further investigate this problem, both theoretical and experimental in a non-steady-state approach and also in the surface-limited regime (SLR) of permeation. After initial theoretical work, a dedicated experimental installation for gas-driven permeation experiments was designed and assembled. Then, initial experimental work was completed for testing monoisotope permeation of deuterium through a very thin (0.075-mm) nickel membrane in the temperature range of 473 to 773 K and for a driving pressure of deuterium gas in the range of 10−2 to 1 Pa. This work was done in preparation for subsequent multi-isotope experiments, with the proposed goal to observe how hydrogen affects the permeation of deuterium. The main objectives of the work were to confirm experimentally the achievement of the SLR of permeation for the selected conditions of testing; to determine experimentally the kinetic coefficients of surface transport for deuterium in nickel; and to test and validate the experimental setup, procedures, and methods used and their reliability to more stringent requirements of the multi-isotope experiments. Within this paper, the experimental setup and all the operating procedures used both in calibration operations and in permeation experiments are presented in detail, as well as their results. The obtained results confirmed that permeation occurred in the SLR in the tested range of pressure for each testing temperature. The surface-rate coefficients of dissociation and recombination were both determined experimentally. The values obtained for the dissociation coefficient were in very good agreement with other similar experimental data available in the literature. For the recombination coefficient, agreement was not quite satisfactory, but comparison could be made with values calculated based only on the dissociation and solubility coefficients, as data for these coefficients for the nickel-hydrogen system (determined directly from gas-driven permeation experiments) were not found in the literature. However, these results indicated good reliability of the installation, its calibration, and operating procedures in order to proceed to experimental testing of multi-isotope permeation.

Spatiotemporal differences, dynamic evolution and trend of cultivated land use efficiency: Based on three food functional areas

China's agricultural development has entered a period of transition, and improving the cultivated land use efficiency (CLUE) is of great significance for guaranteeing national food security. Based on the province panel data in China from 2000 to 2021, this research calculates the cultivated land use efficiency, and uses the Dagum-Gini coefficient, Kernel density estimation, and Markov chain to conduct an in-depth analysis of CLUE's regional variations and distribution dynamics in three food functional areas (TFA) of China. The study results showed that the trend of CLUE was characterized by “increasing levels and decreasing absolute differences,” not only in the whole country but also in the TFA. The inter-regional variation among TFA is gradually narrowing, and the cross-group degree of inter-regional variation is on the rise. The upward probability of CLUE was more effective than the probability of a transitionary change, and the mutual influence of CLUE between neighboring cities would lead to spatial convergence in the level of CLUE in the long term. Therefore, improving CLUE in China's TFA should not only grasp the regional differences in CLUE but also actively utilize the spatial spillover effects among functional regions to realize the cross-regional synergistic development of cropland utilization efficiency in China.

Thermal enhancement of optical-thermal-electrical isolation package structure for UVA LEDs

As one of the most important heat transfer channels for ultraviolet radiation-A light-emitting diodes (UVA LEDs), the substrate often simultaneously undertakes the tasks of electrical connection and UV reflection as well, which makes the optical, thermal and electrical performance mutually constrained, resulting in poor heat dissipation and light output efficiency. In order to suppress the constraint relationship between these factors, the printed-circuit-board copper heat sink composite substrate (PCCS) was assembled by adhesion and pressure implantation, and UVA LEDs with optical-thermal-electrical isolation packaging structure were prepared. The light, electricity, and heat in this structure flow in their respective pathways, greatly reducing the mutual influence. Compared with commercial Al2O3 -Ceramic devices, under the driving current of 1000 mA and testing conditions of 25 ℃, the junction temperature of PCCS devices decreased by 13.3 ℃, and the thermal resistance decreased by 5 K/W with a higher stable-transient ratio. At 25 ℃, the lifespan of PCCS devices is 20 % longer than that of Al2O3-Ceramic devices. The above results indicate that the optical-thermal-electrical isolation packaging structure effectively solves the problem of reduced light output efficiency caused by heat accumulation through reasonable separation of the pathways, resulting in significant application potential in improving the luminous efficiency and reliability of UVA LED devices.

The regulatory effects of (p)ppGpp and indole on cAMP synthesis in Escherichia coli cells.

Bacterial stress adaptive response is formed due to changes in the cell gene expression profile in response to alterations in environmental conditions through the functioning of regulatory networks. The mutual influence of network signaling molecules represented by cells' natural metabolites, including indole and second messengers (p) ppGpp and cAMP, is hitherto not well understood, being the aim of this study. E. coli parent strain BW25141 ((p) ppGpp+) and deletion knockout BW25141ΔrelAΔspoT which is unable to synthesize (p)ppGpp ((p)ppGpp0) were cultivated in M9 medium supplemented with different glucose concentrations (5.6 and 22.2 mM) in the presence of tryptophan as a substrate for indole synthesis and in its absence. The glucose content was determined with the glucose oxidase method; the indole content, by means of HPLC; and the cAMP concentration, by ELISA. The onset of an increase in initially low intracellular cAMP content coincided with the depletion of glucose in the medium. Maximum cAMP accumulation in the cells was proportional to the concentration of initially added glucose. At the same time, the (p) ppGpp0 mutant showed a decrease in maximum cAMP levels compared to the (p)ppGpp+ parent, which was the most pronounced in the medium with 22.2 mM glucose. So, (p)ppGpp was able to positively regulate cAMP formation. The promoter of the tryptophanase operon responsible for indole biosynthesis is known to be under the positive control of catabolic repression. Therefore, in the cells of the (p)ppGpp+ strain grown in the tryptophan-free medium that were characterized by a low rate of spontaneous indole formation, its synthesis significantly increased in response to the rising cAMP level just after glucose depletion. However, this was not observed in the (p)ppGpp0 mutant cells with reduced cAMP accumulation. When tryptophan was added to the medium, both of these strains demonstrated high indole production, which was accompanied by a decrease in cAMP accumulation compared to the tryptophan-free control. Thus, under glucose depletion, (p)ppGpp can positively regulate the accumulation of both cAMP and indole, while the latter, in its turn, has a negative effect on cAMP formation.

ABOUT WATERFLOODING OF LOW-PERMEABILITY RESERVOIRS

The purpose of this work is to analyze the effectiveness of the flooding system on low-permeable reservoirs of the Achimovian formation and optimize its operation taking into account the facial model. Due to the depletion of hydrocarbon reserves in traditional formations with good reservoir properties, interest in hard-to-recover reserves is currently increasing. And the main difficulty in the development of such reservoirs is the efficiency of waterflooding systems. When developing low-permeability reservoirs, various mechanisms of oil displacement during flooding can be identified. When flooding reservoirs with a permeability of less than 1 mD, there is no need to keep a high wellhead pressure. Moreover, with a large accumulated compensation, stopping water injection for up to six months does not lead to a drop in production, which creates prerequisites for the organization of cyclic flooding. This will solve a number of problems that appear in injection wells when working in such conditions. The facial structure of reservoirs sometimes has a decisive influence on wells operation and their mutual influence. The transition to the field development with a complex geological structure, low filtration characteristics of the formation, the existence of geological bodies with different properties, requires not only thoroughness in the formation of a conceptual understanding of the oilfield, but also the creation of detailed digital facial maps taking into account the existence of zones with different sedimentation, as a consequence, creating zones with different filtrationcapacitance properties, requiring different approaches to development.

THE IMPACT OF INNOVATION SUPPORT ON THE SUSTAINABLE DEVELOPMENT OF ENTERPRISES

Today, the problems of devaluation of the environment, depletion of natural resources, and social and economic crises are increasingly deepening. The issue of sustainable development at the enterprise level is becoming a necessity, not just a regulatory requirement. The critical role in this process is played by innovative support capable of reforming the existing approaches to the problems mentioned above. The study aims to determine the relationship and mutual influence between the indicators of innovation support and sustainable development of enterprises and to form recommendations based on the results using the methods of correlation analysis, multivariate regression, and case study. The study revealed a close correlation between the indicators of innovation support, which are represented in the study by the Global Innovation Index with its sub-indices, and such Sustainable Development Goals (SDGs) indicators as the “Logistics Performance Index: Quality of trade and transport-related infrastructure” and “Electronic waste (kg/capita)”. It has been determined that the first indicator is most strongly influenced by institutions and infrastructure, and the second is influenced by institutions, human capital and research, infrastructure, and market structure. The recommendations formed because of the analysis include using electronic systems and resource cycles. The results obtained can be of practical importance and used by both enterprise management and government agencies to optimise the enterprise's logistics system and waste management.

Analysis of End-to-End Delay in the Transport Segment of Fronthaul 4G/5G Networks Based on TSN Technology

One of the characteristic features of 4G/5G mobile networks is the spatial separation of functional blocks. The corresponding segments of the xHaul transport network are used to connect these blocks. One of them is the Fronthaul front end segment, which connects remote radio equipment with their control equipment. The data streams of standard CPRI/eCPRI radio interfaces in this segment impose strict requirements on the quality of service and, above all, on delays. To meet these requirements, it was proposed to use in the Fronthaul segment Ethernet bridge network based on the technology of time-sensitive networks TSN (Time Sensitive Networking), which provides determinated delays, reliable packet delivery and high accuracy of synchronization of nodes in the network. The IEEE 802.1CM standard describes profiles of TSN networks that defines the functions, options, configurations, default values, protocols and procedures of bridges, stations and local networks required to build the Fronthaul transport segment. The article presents a methodology for determining the maximum end-to-end traffic delays of standard CPRI/eCPRI radio interfaces in the Fronthaul segment of 4G/5G networks, built on the basis of TSN technology, in accordance with the requirements of IEEE 802.1CM standard. Two main components of end-to-end delay are identified ‒ delays in TSN bridges and delays in xEthernet channels. For high-priority traffic flows of CPRI/eCPRI radio interfaces in bridges, characteristic cases of mutual influence of flows arriving simultaneously at different input ports are given. An example of numerical calculation is given, which allowed to determine the permissible physical length of the Fronthaul segment at a given boundary end-to-end delay of transmission of high-priority traffic.

Синтез робастной системы управления манипуляционным роботом с полиномиальными регуляторами на основе грамианного метода

Since manipulation robots can have several control channels, and their nonlinear coordinate relationships lead to internal parametric disturbances, along with variations in mechanical parameters, the use of Gramian methods for the synthesis of robust automatic control systems seems to be an effective way to improve the quality of control of such objects. When developing a robust control system for a manipulative robot, the method of polynomial modal control is used, local regulators are synthesized for both parts of the manipulator and a centralized controller is synthesized using an object model adjusted by the Gramian method. The calculations of the regulator based on the linear model of a two-link robot manipulator and the analysis of the transient characteristics of the movement of its links are carried out in the MATLAB software package. A method to synthesize a robust control system for a manipulation robot is proposed. It is based on a linearized mathematical model of a control object with a dynamic (polynomial) controller, aimed at changing the singular number of controllability and observability Gramians and subsequent calculation of a centralized controller to control the original nonlinear object. The use of a modified object model makes it possible to improve the robust properties and increase the speed of the control system for a nonlinear robotic object while maintaining the aperiodic nature of the processes under conditions of mutual influence of links and parameter variations. The proposed method makes it possible to improve the quality of control of manipulative robots and their productivity in conditions of intensification of technological production.

Research on the influence mechanism of fluid control valve on the production of segmented horizontal wells and the balanced gas production control model: A case analysis of Sichuan basin natural gas

The existing research on the multiple fluid control valves to control the balanced exploitation of natural gas in horizontal wells lacks theoretical model support. On this basis, this paper established a flow rate and pressure model of the segmented horizontal well based on the fluid control valve. The model considers the throttling performance, installation position and opening adjustment step size of the fluid control valve for the first time. Next, systematically analyzed the mechanism of mutual influence of the opening and the position on the flow rate and pressure based on multiple fluid control valves. In addition, a novel method of using the dichotomy model to adjust the production of different production segments was proposed to analyze the horizontal wells of 15 production segments in Sichuan. It was found that when the opening adjustment step size is less than 5%, the natural gas production shows irregular changes, which makes it hard to effectively control the production of each segment. When the step size is 5%, the maximum production variation is 2.7%, which will have a more significant and meaningful effect on the exploitation of natural gas. Through seven iterations, the maximum production errors of high and low production segments are 1.3 % and 1.1 % respectively, both less than 2.7%. The research results verified the correctness of the theoretical model of segmented horizontal wells based on multiple fluid control valves. This research provided a theoretical basis for the opening control of multiple fluid control valves based on different production segments of horizontal wells.