Semnan UniversityInternational Journal of Nonlinear Analysis and Applications2008-6822161120251101Some new coincidence point results in partial $b$-metric spaces via digraphs, $\mathscr{L}$-simulation and $\theta$-functions116923410.22075/ijnaa.2024.34167.5098ENSushanta KumarMohantaDepartment of Mathematics, West Bengal State University, Barasat, 24 Parganas (North), West Bengal, Kolkata 700126, IndiaPriyankaBiswasDepartment of Mathematics, West Bengal State University, Barasat, 24 Parganas (North), West Bengal, Kolkata 700126, IndiaJournal Article20240517In the present article, we introduce the concept of $(\alpha,\theta,\xi)$-$G$-contractive mappings in partial $b$-metric spaces endowed with a digraph $G$ and discuss the existence and uniqueness of points of coincidence and common fixed points for a pair of self mappings satisfying such contractive condition. Our main result will extend several recent results including the well-known Banach contraction theorem. Finally, we exhibit that this extension is viable which will justify the new contractive condition.https://ijnaa.semnan.ac.ir/article_9234_e4dd66ed976eb12eed1639139f548a37.pdfSemnan UniversityInternational Journal of Nonlinear Analysis and Applications2008-6822161120251101On a class of multivalent meromorphic functions defined by the combinational differential operator1730929710.22075/ijnaa.2024.35082.5237ENMohammadrezaForoutanDepartment of Mathematics, Payame Noor University, P.O.Box 19395-3697, Tehran, IranMostafaSoltaniDepartment of Mathematics, Payame Noor University, P.O.Box 19395-3697, Tehran, IranAliEbadianDepartment of Mathematics, Faculty of Science, Urmia University, Urmia, IranJournal Article20240820In this paper, we define a class of meromorphically multivalent functions in $\mathbb{U^{\ast}}=\{z:z\in\mathbb{C}:0<|z|<1\}$ by using a differential operator. Important properties of this class such as coefficient estimates, distortion theorem, radius of starlikeness and convexity, closure theorems, and convolution properties are obtained. We also study $\delta$-neighboorhoods and partial sums for this class.https://ijnaa.semnan.ac.ir/article_9297_2256fd1d9eed7722659ed3dcbbd813f9.pdfSemnan UniversityInternational Journal of Nonlinear Analysis and Applications2008-6822161120251101Analysis and investigation of smart beta optimization in companies active in the Tehran Stock Exchange and comparing it with the Markowitz model portfolio.31501009910.22075/ijnaa.2024.33371.4968ENAmirNasrollahiDepartment of Accounting, Sanandaj Branch, Islamic Azad University, Sanandaj, IranBehzadParviziDepartment of Accounting, Sanandaj Branch, Islamic Azad University, Sanandaj, IranAtaollahMohammadi MolgharaniDepartment of Accounting, Sanandaj Branch, Islamic Azad University, Sanandaj, IranJournal Article20240225The primary objective of the current research is to analyze and investigate the optimization of smart beta in companies active on the Tehran Stock Exchange and to compare it with the Markowitz model portfolio. The statistical population of the present research includes all active companies on the Tehran Stock Exchange. Due to the large volume of companies admitted to the Stock Exchange, the companies' asset history was investigated from 2014 to 2016. As a result of applying restrictions in the systematic elimination sampling, a statistical sample of (148) companies (15) shares was obtained. In the following, a genetic algorithm was used to optimize the portfolio and get the model weights based on the defined models. MATLAB and SPSS 22 software were used to solve the algorithm. Five performance evaluation measures (Sharpe, Treynor, Jensen, Sortino, and Adverse Potential) were used to compare the selected portfolios based on the research results and previous models. Finally, the research results were compared with the Markowitz model \cite{17}. It was found that smart, intelligent beta optimization decisively provides a simultaneous combination of risk and better return compared to the Markowitz model in the Iranian stock market and achieves better performance.https://ijnaa.semnan.ac.ir/article_10099_195fa5359ad930617f021bfee8c1f577.pdfSemnan UniversityInternational Journal of Nonlinear Analysis and Applications2008-6822161120251101Sociological explanation between defenseless urban spaces and high-risk behaviors in Tehran5158948110.22075/ijnaa.2024.33956.5065ENFatemehAlizadehDepartment of Social Sciences, Central Tehran Branch, Islamic Azad University, Tehran, IranReza AliMohseniDepartment of Sociology, Central Tehran Branch, Islamic Azad University, Tehran, IranJournal Article20240229The purpose of this research is to investigate the impact of the defenceless urban environment on the occurrence of high-risk behaviours of citizens in Tehran. The current research method is a survey, and the tool for collecting information is a questionnaire made by the researcher, which Cronbach's alpha coefficient (0.78) indicates its high reliability. The questionnaire includes 3 parts personal information, defenseless urban environment and high-risk behaviors. Society The population of this study is 919,001 people according to the 2015 census. Using the Cochran formula, 384 people were selected as the sample size. Then samples were selected by Spearman, regression and analysis of variance, and the results indicate the existence of a significant relationship between defenceless urban spaces and high-risk behaviours There is a difference between the occurrence of violence, theft, prostitution, and drug addiction as high-risk behaviours in the urban defenceless space, and on the other hand, there is a relationship between the high-risk behaviours in the city of Tehran Therefore, the results of the research show that social control and physical space affect the occurrence of risky behaviours.https://ijnaa.semnan.ac.ir/article_9481_d7bc73c43cdd36ff4da24a0c8f23320e.pdfSemnan UniversityInternational Journal of Nonlinear Analysis and Applications2008-6822161120251101Comparison of ASD and LRFD with W sections for the optimization and stress ratio of steel frames using genetic algorithm in SAP2000 and ETABS5974950810.22075/ijnaa.2024.34184.5101ENMahdiMohammadi FarsamDepartment of Civil Engineering, Faculty of Engineering, University of Qom, Qom, IranMasoudMahmoud AbadiDepartment of Civil Engineering, Faculty of Engineering, University of Qom, Qom, IranFarzadLariDepartment of Engineering, South Tehran Branch, Islamic Azad University, Tehran, IranJournal Article20240219Any optimum design requires adequate skill and experience. Overall, having a multitude of variables in a design makes manual optimization fairly difficult or even unattainable. Importantly, due to the paucity of resources and the existence of competitive space, one can only implement and accomplish high-throughput plans, thereby making it crucial to profit from optimization methods. In this research, the objective function was the structure's weight, which was supposed to be directly correlated with its cost. Design models were optimized separately, investigated, and compared using genetic algorithm (GA), LRFD, and ASD analyses with W sections for frames. The cross-section of beams and columns were studied as design variables, and the constraints specified in the Iranian National Building Code (Part 10) were considered design constraints. Ultimately, the graphs for GA and stress ratio in each condition of LRFD and ASD for the W sections were obtained and compared, followed by analyzing and comparing the stress ratio in SAP2000.https://ijnaa.semnan.ac.ir/article_9508_ccf1324fd468ced3e4e65b51d80a25e7.pdfSemnan UniversityInternational Journal of Nonlinear Analysis and Applications2008-6822161120251101Evaluating the interfering factors in the acquisition of international seats in sports7585930710.22075/ijnaa.2024.33151.4936ENElhamGorjiDepartment of Physical Education, Shoushtar Branch, Islamic Azad University, Shoushtar, IranLoraChapariDepartment of Physical Education, Dezfoul Branch, Islamic Azad University, Dezfoul, IranZahraHozhabrniaDepartment of Physical Education, Shoushtar Branch, Islamic Azad University, Shoushtar, IranJournal Article20240201International sports seats are key positions considered in the world's sports planning, and their acquisition is one of the low-cost and effective solutions for developing international interactions. This study aimed to evaluate factors interfering in the acquisition of international seats in sports. This quantitative survey qualitatively studied the structures or components of the theory. The framework and factors of those structures and components were extracted, and related indicators were compiled. Finally, the validity and evaluation of the constructed theory were investigated using quantitative data. Structural equation modelling was used to analyse the structure in the quantitative part. Maxqda, SPSS, and PLS software were used for the analysis. Causal conditions had six codes, the central phenomenon had three codes, contextual conditions had seven codes, intervening conditions had eight codes, strategies had eight codes, and the outcome had six codes. The results of structural equation modelling showed that causal factors had a positive and significant effect on the central phenomenon (r=0.343), the central phenomenon on strategic factors (r=0.598), factors on the central phenomenon (r=0.284), intervening factors on the central phenomenon (r=0.288), and strategic factors on the outcome factors (r=0.690).https://ijnaa.semnan.ac.ir/article_9307_34aee1d0fcbe4251fa006390d52fa2fe.pdfSemnan UniversityInternational Journal of Nonlinear Analysis and Applications2008-6822161120251101Designing an intelligent competitive online network model in order to improve business efficiency by using online capabilities in small and medium-sized companies using structural equations.87991010010.22075/ijnaa.2024.34127.5092ENEsmailGhasemiDepartment of Business Management (Marketing), Zanjan Branch, Islamic Azad University, Zanjan, IranSeyyed MohammadKazemiDepartment of Civil Engineering (Geotechnics), Islamshahr Branch, Islamic Azad University, Tehran, IranJournal Article20240413The statistical population in this research is about 500 managers and employees of companies active in the field of production and distribution of petrochemical products. The sample size was determined through Morgan's Table 217. In this research, we use the Kolmogorov-Smirnov test to ensure the type of distribution of research variables in terms of normality or abnormality. This test is used to check the claim made about the distribution of research variables. When the variable distribution is normal, parametric tests should be used; otherwise, we use non-parametric tests. In the analytical statistics of this research, the univariate linear regression test (t-test) was used to determine the effect of each of the identified factors on loyalty and offline advertising. The measurement tool of this research is a questionnaire that was examined in terms of validity and reliability. After collecting the questionnaires, the data were analyzed using the structural equation modelling method with the partial least squares approach with the help of SPSS21 and Smart PLS2 statistical software. In this way, the use of advanced and up-to-date systems, timely services, providing innovation to identify the needs of customers, discovering creative opportunities in the important market and obtaining new information from customers and suppliers in the market and evaluation are suggested.https://ijnaa.semnan.ac.ir/article_10100_3befbda63fa588d36bf7710f85571b0a.pdfSemnan UniversityInternational Journal of Nonlinear Analysis and Applications2008-6822161120251101Wavelet shrinkage in estimation of regression function with error in variables101109948210.22075/ijnaa.2024.34558.5164ENGhodratollahRahmatiDepartment of Statistics, Faculty of Science, Payame Noor University, Tehran, IranEsmaeilShiraziDepartment of Statistics, Faculty of Science, Gonbad Kavous University, Gonbad Kavous, IranMasoudYarmohammadiDepartment of Statistics, Faculty of Science, Payame Noor University, Tehran, IranParvizNasiriDepartment of Statistics, Faculty of Science, Payame Noor University, Tehran, IranJournal Article20240624The purpose of this study was to estimate the unknown regression function $h$ in a regression model having errors-in-variables: $(Y,X)$, where $Y=h(U)+E$ and $X=U+T$. We propose a new adaptive estimator through the wavelet shrinkage method to estimate $h$. In particular, the block thresholding method has been investigated by considering some simple assumptions on $E$. Finally, using a simulation study, we have compared the proposed estimator with other threshold estimators.https://ijnaa.semnan.ac.ir/article_9482_bf192c21766bcb0d539dc494706af1db.pdfSemnan UniversityInternational Journal of Nonlinear Analysis and Applications2008-6822161120251101Intelligent shells for Qanats: Integrating algorithmic design with traditional flood management, a case study from Baluchestan, Iran111122976610.22075/ijnaa.2024.34481.5149ENHamedEbrahimiDepartment of Art and Architecture, Zahedan Branch, Islamic Azad University, Zahedan, IranMehdiMortazaviDepartment of Archaeology and Archaeological Sciences Research Center, University of Sistan and Baluchestan, Zahedan, IranFaramarzHassan PourDepartment of Architecture, University of Zabol, Zabol, IranSeyed ArmanHashemi MonfaredDepartment of Civil Engineering, University of Sistan and Baluchestan, Zahedan, IranJournal Article20240417Algorithmic design principles, combined with parametric modelling and optimization techniques, offer a promising approach to environmental challenges and renewable energy solutions. A pressing example is the water scarcity faced by many regions in the country. The Baluchestan region of Sistan and Baluchestan province exemplifies this challenge. Despite annual floods, strong currents damage Qanats (traditional water channels), rendering them unproductive. Utilizing and managing these floodwaters to recharge these ancient structures presents a potential solution. This study proposes an algorithmic and intelligent flood management Shell design inspired by traditional architectural patterns and adapted to Qanat structures. The Shell aims to regulate water inflow into Qanats, maximizing water capture while minimizing flood damage. The field data for this study was collected during archaeological fieldwork conducted in 2018 in Dezak Village, Saravan County, where ancient methods of directing floodwaters into Qanats were documented. Such insights highlight the potential of indigenous systems as sustainable alternatives to costly interventions like seawater transfer projects. The research employs Autodesk CFD, Rhino, and Grasshopper software to analyze the impact of the algorithmic flood management Shell design on Qanat inlets in the Dezak Village, Saravan county of Baluchestan Region. The study investigates whether algorithmic architectural principles can be effectively employed to address environmental challenges. The results demonstrate that by utilizing the region’s traditional triangulation motifs, transforming them into a parametric structure, and incorporating algorithmic knowledge, it is possible to create climate-responsive shells that manage flood flow.https://ijnaa.semnan.ac.ir/article_9766_7691432ecf93a4edf751749f13c75c49.pdfSemnan UniversityInternational Journal of Nonlinear Analysis and Applications2008-6822161120251101Integrated high frequency RF circuit design using deep reinforcement learning via proximity policy optimization method123132995210.22075/ijnaa.2024.34754.5198ENAliKhakshoor ShandizFaculty of Electrical Engineering and Medical Engineering, Sajjad University, Mashhad, IranAbbasGolmakaniFaculty of Electrical Engineering and Medical Engineering, Sajjad University, Mashhad, IranAminNooriFaculty of Electrical Engineering and Medical Engineering, Sajjad University, Mashhad, IranJournal Article20240614The automatic design of analog circuits is a challenging task due to the high complexity of the design, which is caused by the search space and the sometimes conflicting parameters. In the article, a trial-and-error-based approach that combines reinforcement learning and deep neural networks is used to determine the values of circuit elements have been used. In methods based on reinforcement learning, the agent tries to act like an expert designer and maybe better than that by trial and error and using the information he gets from the environment. In this article, one of the latest methods of deep reinforcement learning called approximate policy optimization (PPO) is used. To show the efficiency of the above method, a cascaded LNA circuit is considered. And the voltages are determined by the learning agent to optimize the circuit design requirements such as gain, noise figure and power consumption. To train the learning agent in the reward function, two categories of adverbs have been included in such a way that the main goal is to optimize the gain and noise figure and the secondary goal is to focus on other requirements such as power consumption. The environment which is the amplifier circuit is simulated in the Hspice software in 0.18 micrometer technology from TSMC company at the frequency of 5.7 GHz and the learning agent is also defined in the MATLAB environment which has been able to design the values of the circuit elements by interacting with the environment.https://ijnaa.semnan.ac.ir/article_9952_0f177aa9cdf245e14a36d5bf9ef9be7c.pdfSemnan UniversityInternational Journal of Nonlinear Analysis and Applications2008-6822161120251101Seismic behavior analyses of reinforced tunnel with steel fiber reinforced concrete (SFRC) composites by consideration of optimum thickness in artificial neural network (ANN) analyses133142990210.22075/ijnaa.2024.35531.5286ENHootanFakharianDepartment of Civil Engineering, Rudehen Branch, Islamic Azad University, Rudehen, IranHadiBahadoriDepartment of Civil Engineering, Urmia University, Urmia, IranMohamadaliRamezanpourDepartment of Civil Engineering, Rudehen Branch, Islamic Azad University, Rudehen, IranAliDehghanbanadakiDepartment of Civil Engineering, Damavand Branch, Islamic Azad University, Damavand, IranJournal Article20240805This study is organized in two parts. In the first part, the seismic behaviour of tunnels reinforced with steel fibre-reinforced concrete composites (SFRC) fibre reinforcing is investigated and using the finite element method (FEM) in ABAQUS software, 3 different models of the thickness (similar in terms of compressive strength and tensile strength) have been evaluated in the Tehran Metro tunnel. In this section, to apply seismic force, the PGA characteristics of the El Centro earthquake in the United States have been used, and the parameters of force and displacement concerning time have been extracted. In the second part, using the effect of three different thicknesses of 20, 40 and 60 cm in determining the behaviour of the tunnel under the earthquake, the amount of stress and displacement over time was extracted. These results were investigated using two models of neural networks, MLP and RBF, to determine the optimal thickness to withstand stress and displacement in the tunnel. It was also found that the optimal thickness of the tunnel was obtained using MLP and RBF networks to control stress of 47.95 cm and 48.22 cm, respectively, and to control displacement of 47.21 cm and 48.15 cm, respectively. Finally, it can be acknowledged that using the optimal thicknesses, the maximum stress tolerance by MLP and RBF methods is equal to $1.7556 \times 10^{+ 6}\ N/m^{2}$ and $1.9289 \times 10^{+ 6}\ N/m^{2}$ is obtained. Also, the highest amount of displacement with both methods (due to the good accuracy of both models in determining the displacement) is equal to 0.0256 cm.https://ijnaa.semnan.ac.ir/article_9902_9e8444ce8452dc517e3b40562c84b7c8.pdfSemnan UniversityInternational Journal of Nonlinear Analysis and Applications2008-6822161120251101Asymmetric effects of oil prices and oil revenues on Iran's economic growth: Vector auto-regression (VAR): A nonlinear approach143159922710.22075/ijnaa.2024.28591.3948ENAsmaGamooriDepartment of Oil and Gas Economics, Marvdasht Branch, Islamic Azad University, Marvdasht, IranSeyed NematallehMusaviDepartment of Agricultural Economics, Marvdasht Branch, Islamic Azad University, Marvdasht, IranAbasAminifardDepartment of Economics, Shiraz Branch, Islamic Azad University, Shiraz, IranJournal Article20221009Oil, the main source of energy and the engine of economic growth is an essential input to the production process, whose consumption has increased significantly with the modernization of the economy. This study aims to investigate the asymmetric analysis of oil prices and oil revenues in Iran. In this regard, four models were examined. In the first two models, the impact of oil prices and revenues was estimated on the economic growth, and then the impact of oil prices and revenues on economic growth without oil was estimated using the nonlinear Autoregressive Distributed Lag (NARDL) model. The results of the study for the period 2018-2000 indicate that oil prices and oil revenues have an asymmetric effect on oil economic growth, but have a symmetrical effect on oil-free economic growth.https://ijnaa.semnan.ac.ir/article_9227_2eb5cdc651499e1b17675859a0553ed1.pdfSemnan UniversityInternational Journal of Nonlinear Analysis and Applications2008-6822161120251101The effect of cultural factors, activities characteristics and technology features on the appropriateness and usage of technology regarding customer personality161171922810.22075/ijnaa.2023.30946.4522ENRezaAbbasiDepartment of Accounting, Birjand Branch, Islamic Azad University, Birjand, IranMortezaMohammadiDepartment of Economics, Faculty of Literature and Humanities, Hakim Sabzevari University, Sabzevar, IranJournal Article20230514This study investigated the relationship between Task-Technology Fit (TTF), usage, and performance with the moderating role of culture on adoption and retention of mobile banking technology; and the case study was Melli Bank of Iran. To test the hypotheses, first, the data was collected by questionnaires containing 24 questions (Likert scale) from 200 customers of the National Bank of Iran. Then data reliability (Korbach's alpha test) and construct validity (confirmatory factor analysis) were checked. Finally, the conceptual model was estimated using the Structural Equation Model (SEM) and Amos statistical software. The findings showed that, firstly, the TTF theory is well explained by the two dimensions of task characteristics and technology characteristics. Secondly, there is a significant positive relationship between TTF, use, and individual performance. Thirdly, individualism as a cultural dimension weakens the relationship between TTF and Use, while it strengthens the relationship between use and individual performance. Fourth, avoiding uncertainty as another cultural dimension weakens the relationship between TTF and Use; while it strengthens moderates the relationship between TTF and individual performance, as well as between use and individual performance. The results indicate that providing services that match the needs increases their use, and it can also improve performance. In addition, more use improves people's performance, which emphasizes the theory of learning by doing. Individualism as a cultural factor can hurt TTF theory, which can be reduced through advertising and branding. Also, customer psychology and providing special services increase their use. Avoiding uncertainty makes customers use it more cautiously, so the bank should improve their confidence in using mobile banking.https://ijnaa.semnan.ac.ir/article_9228_483654cead391aacebaa2dd18941f857.pdfSemnan UniversityInternational Journal of Nonlinear Analysis and Applications2008-6822161120251101The effect of organizational culture and contingent factors on sustainability reporting with an economic performance approach173177923510.22075/ijnaa.2023.31068.4556ENMohammadKhaliliDepartment of Accounting, Sari Branch, Islamic Azad University, Sari, IranAliZabihiDepartment of Accounting, Sari Branch, Islamic Azad University, Sari, IranKhosroFaghani MakraniDepartment of Accounting, Semnan Branch, Islamic Azad University, Semnan, IranJournal Article20230626Corporate sustainability information is disclosed to increase transparency, promote brand value, good reputation and legitimacy, optimal mining ability against competitors, motivate employees, and support control and information processes. Therefore, the aim is to study the effect of organizational culture and contingent factors on sustainability reporting with an economic performance approach. The current research is applied in terms of purpose and descriptive survey in terms of its nature. The statistical population of the present study includes all the companies accepted in the Tehran Stock Exchange, which was calculated by the statistical formula of the sample size of 53 people. Data collection tools include a checklist with a scale of zero and one to measure sustainability reporting indicators and a closed-answer questionnaire on a Likert scale to measure indicators of organizational culture and contingent factors. Descriptive and inferential statistics (correlation test and linear regression) were used for data analysis. The results show that the components of organizational culture (attention to details, attention to results, and attention to organization members) and contingent factors (people) are suitable models for influencing and explaining sustainability reporting with an economic performance approach in Tehran Stock Exchange companies.https://ijnaa.semnan.ac.ir/article_9235_8fe11b73830327483febbd0f1e9543dd.pdfSemnan UniversityInternational Journal of Nonlinear Analysis and Applications2008-6822161120251101New results on fractional calculus and integral transform with extended Mittag-Leffler type function179189924410.22075/ijnaa.2024.25243.2966ENSunil KumarSharmaDepartment of Mathematics, Arya College of Engineering, RIICO Industrial Area, Kukas, Delhi Road, Jaipur–302028 (Raj.), IndiaVinodGillDepartment of Mathematics, Government College Nalwa (Hisar), Haryana-125037, IndiaDineshKumarDepartment of Applied Sciences, College of Agriculture, Agriculture University Jodhpur, Jodhpur–342304 (Raj.), IndiaNorbertSudlandAage GmbH, Rontgenstraße 24, 73431 Aalen (Wurttemberg), GermanyJournal Article20211114In the present article, we obtain new results, based on an extended Mittag-Leffler type function. We also investigate some integral transforms and generalized integral formulas for this function, and established results are expressed in terms of the Wright generalized hypergeometric type function. Some presumably new and known interesting special cases are also deduced.https://ijnaa.semnan.ac.ir/article_9244_6e7108fca6993e963a36dc5046ea6ba0.pdf