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果糖催化合成四氢苯并[b]吡喃衍生物:动力学和机理研究(英文)

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催化学报 2015年第5期36卷 757-763页

作者： Sayyedeh Shadfar Pourpanah Sayyed Mostafa Habibi-Khorassani mehdi shahraki Department of Chemistry University of Sistan and Baluchestan

Fructose was used as an efficient catalyst for three-component condensation reactions of aryl aldehydes,malononitrile,and dimedone in a mixture of EtOH and H_2O as green *** advantages of this method are a short reaction time,high yields,low cost,easy accesses,and simple *** mechanism of the synthesis of a derivative of 4H-tetrahydrobenzo[b]pyran was clarified using spectroscopic kinetic *** activation energy(Ea=65.34 kJ/mol)and related kinetic parameters(ΔG=69.14 kJ/mol,ΔS=20.99 J/(mol·K),andΔH=62.89 kJ/mol)were calculated,based on the effects of temperature,concentration,and *** first step in the proposed mechanism was identified as the rate-determining step(k1),based on the steady-state approximation.

关键词：吡喃衍生物动力学方法四氢苯并催化合成果糖机理绿色溶剂缩合反应

An Improved Binary Quantum-based Avian Navigation Optimizer Algorithm to Select Effective Feature Subset from Medical Data:A COVID-19 Case Study

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Journal of Bionic Engineering 2024年第1期21卷 426-446页

作者： Ali Fatahi Mohammad H.Nadimi-shahraki Hoda Zamani Faculty of Computer Engineering Najafabad BranchIslamic Azad UniversityNajafabad ***Iran Big Data Research Center Najafabad BranchIslamic Azad UniversityNajafabad ***Iran

Feature Subset Selection(FSS)is an NP-hard problem to remove redundant and irrelevant features particularly from medical data,and it can be effectively addressed by metaheuristic ***,existing binary versions of metaheuristic algorithms have issues with convergence and lack an effective binarization method,resulting in suboptimal solutions that hinder diagnosis and prediction *** paper aims to propose an Improved Binary Quantum-based Avian Navigation Optimizer Algorithm(IBQANA)for FSS in medical data preprocessing to address the suboptimal solutions arising from binary versions of metaheuristic *** proposed IBQANA’s contributions include the Hybrid Binary Operator(HBO)and the Distance-based Binary Search Strategy(DBSS).HBO is designed to convert continuous values into binary solutions,even for values outside the[0,1]range,ensuring accurate binary *** the other hand,DBSS is a two-phase search strategy that enhances the performance of inferior search agents and accelerates *** combining exploration and exploitation phases based on an adaptive probability function,DBSS effectively avoids local *** effectiveness of applying HBO is compared with five transfer function families and thresholding on 12 medical datasets,with feature numbers ranging from 8 to 10,***'s effectiveness is evaluated regarding the accuracy,fitness,and selected features and compared with seven binary metaheuristic ***,IBQANA is utilized to detect *** results reveal that the proposed IBQANA outperforms all comparative algorithms on COVID-19 and 11 other medical *** proposed method presents a promising solution to the FSS problem in medical data preprocessing.

关键词： Feature subset selection Optimization Binary metaheuristic algorithms Bioinspired Machine learning Medical datasets

Multi-trial Vector-based Whale Optimization Algorithm

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Journal of Bionic Engineering 2024年第3期21卷 1465-1495页

作者： Mohammad H.Nadimi-shahraki Hajar Farhanginasab Shokooh Taghian Ali Safaa Sadiq Seyedali Mirjalili Faculty of Computer Engineering Najafabad BranchIslamic Azad UniversityNajafabad***Iran Big Data Research Center Najafabad BranchIslamic Azad UniversityNajafabad***Iran Department of Computer Science Nottingham Trent UniversityNottinghamNG118NSUK Centre for Artificial Intelligence Research and Optimisation Torrens UniversityBrisbane4006Australia

The Whale Optimization Algorithm(WOA)is a swarm intelligence metaheuristic inspired by the bubble-net hunting tactic of humpback *** spite of its popularity due to simplicity,ease of implementation,and a limited number of parameters,WOA’s search strategy can adversely affect the convergence and equilibrium between exploration and exploitation in complex *** address this limitation,we propose a new algorithm called Multi-trial Vector-based Whale Optimization Algorithm(MTV-WOA)that incorporates a Balancing Strategy-based Trial-vector Producer(BS_TVP),a Local Strategy-based Trial-vector Producer(LS_TVP),and a Global Strategy-based Trial-vector Producer(GS_TVP)to address real-world optimization problems of varied degrees of ***-WOA has the potential to enhance exploitation and exploration,reduce the probability of being stranded in local optima,and preserve the equilibrium between exploration and *** the purpose of evaluating the proposed algorithm's performance,it is compared to eight metaheuristic algorithms utilizing CEC 2018 test ***,MTV-WOA is compared with well-stablished,recent,and WOA variant *** experimental results demonstrate that MTV-WOA surpasses comparative algorithms in terms of the accuracy of the solutions and convergence ***,we conducted the Friedman test to assess the gained results statistically and observed that MTV-WOA significantly outperforms comparative ***,we solved five engineering design problems to demonstrate the practicality of *** results indicate that the proposed MTV-WOA can efficiently address the complexities of engineering challenges and provide superior solutions that are superior to those of other algorithms.

关键词： Swarm intelligence algorithms Metaheuristic algorithms Optimization Engineering design problems Whale optimization algorithm

Nurses'critical thinking disposition and professional commitment:a cross-sectional study

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Frontiers of Nursing 2024年第1期11卷 119-126页

作者： Mahtab Allah Tavakoli Golnaz Foroughameri Jamileh Farokhzadian Sedigheh Khodabandeh shahraki Nursing Research Center Kerman University of Medical SciencesKerman ***Iran Reproductive Health Family and Population Research CenterKerman University of Medical SciencesKerman ***Iran

Objective:High-quality and successful nursing care delivery in a variety of situations requires critical thinking training and professional *** present study aimed to investigate critical thinking disposition,professional commitment,and the relationship between these 2 variables among ***:As a result of stratified random sampling,201 nurses were enrolled in the present cross-sectional *** were gathered using a socio-demographic form,the Critical Thinking Disposition Inventory(CTDI),and the Nurses'Professional Commitment Scale(NPCS).Results:Although the critical thinking disposition scores were at a moderate level(115.70±13.55),the mean score for professional commitment was high(91.37±11.77).A positive correlation was found between critical thinking disposition and professional commitment(r=0.67,P=0.001).Conclusions:Nursing managers are urged to employ strategies to enhance nurses'critical thinking disposition and professional commitment.

关键词： critical thinking nursing education professional commitment skills strategies

Transport properties of dilute ammonia-noble gas mixtures from new intermolecular potential energy functions

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Chinese Journal of Chemical Engineering 2017年第12期25卷 1727-1734页

作者： Farshid Zargari Delara Mohammad-Aghaie Maryam Lotfi Masoume Ghorbanipour Mohammad mehdi Alavianmehr Omolbanin shahraki Department of Chemistry Shiraz University of Technology Shiraz Iran Medicinal and Natural Products Chemistry Research Center Shiraz University of Medical Sciences Shiraz Iron Department of Physical Chemistry University of Tabriz Tabriz Iran Zahedan University of Medical Sciences Zahedan Iran

Previously we have determined the dilute mixture transport properties of slightly polar fluorocarbons using the inverted intermolecular potential energies(Ind. Eng. Chem. Res. 45(2006) 9211–9223). In the present paper, the corresponding states correlations for reduced viscosity collision integrals were employed to obtain effective unlike interaction potential models for dilute binary mixtures of highly polar molecule ammonia with noble *** inverted potentials were fitted to the Morse–Spline–van der Waals(MSV), model potential. The method of least-squares fitting was then applied to identify best consistence force parameters for each ammonia-noble gas mixture, taking advantage of experimental viscosities, diffusion coefficients and thermal *** proposed potential models were compared with those obtained from other sources, in order to assess the extent of their *** potentials were later employed to calculate transport properties of the studied mixtures. Then, results were compared with those reported in the literature, which led to the acceptable agreement.

关键词： lntermolecular potential energy Transport properties Inversion pmcedure Mixture Ammonia Noble gas

An Effective Hybridization of Quantum-based Avian Navigation and Bonobo Optimizers to Solve Numerical and Mechanical Engineering Problems

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Journal of Bionic Engineering 2023年第3期20卷 1361-1385页

作者： Mohammad H.Nadimi-shahraki Faculty of Computer Engineering Najafabad BranchIslamic Azad UniversityNajafabad***Iran Big Data Research Center Najafabad BranchIslamic Azad UniversityNajafabad***Iran

Hybrid metaheuristic algorithms play a prominent role in improving algorithms' searchability by combining each algorithm's advantages and minimizing any substantial shortcomings. The Quantum-based Avian Navigation Optimizer Algorithm (QANA) is a recent metaheuristic algorithm inspired by the navigation behavior of migratory birds. Different experimental results show that QANA is a competitive and applicable algorithm in different optimization fields. However, it suffers from shortcomings such as low solution quality and premature convergence when tackling some complex problems. Therefore, instead of proposing a new algorithm to solve these weaknesses, we use the advantages of the bonobo optimizer to improve global search capability and mitigate premature convergence of the original QANA. The effectiveness of the proposed Hybrid Quantum-based Avian Navigation Optimizer Algorithm (HQANA) is assessed on 29 test functions of the CEC 2018 benchmark test suite with different dimensions, 30, 50, and 100. The results are then statistically investigated by the Friedman test and compared with the results of eight well-known optimization algorithms, including PSO, KH, GWO, WOA, CSA, HOA, BO, and QANA. Ultimately, five constrained engineering optimization problems from the latest test suite, CEC 2020 are used to assess the applicability of HQANA to solve complex real-world engineering optimization problems. The experimental and statistical findings prove that the proposed HQANA algorithm is superior to the comparative algorithms.

关键词： Optimization Metaheuristic algorithms Evolutionary algorithm Quantum-based avian navigation optimizer algorithm Engineering optimization problems,Bionic algorithm

Sustainable regional development through knowledge networks:Review of case studies

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Frontiers of Architectural Research 2019年第4期8卷 471-482页

作者： Abdol Aziz shahraki School of Architecture and the Built Environment Royal Institute of TechnologyKTHStockholmSweden

This study focuses on the importance of knowledge management in the process of *** goal is to build a regional knowledge network for regional sustainable *** method used in this study stands on two theoretical and experimental *** study also provides feasible outcomes by suggesting a model for knowledge-based *** model assists regional/urban planners in managing knowledge productions,organizing regional knowledge institutions,and developing cities by utilizing the advantages of the *** of this applied research support the creation of knowledge networks in similar cities.

关键词： Sustainable urban development Knowledge workers Knowledge networks Urban planning Urban infrastructure

A Wide Neighborhood Interior-Point Method for Cartesian P_(∗)(κ)-LCP over Symmetric Cones

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Journal of the Operations Research Society of China 2015年第3期3卷 331-345页

作者： Marzieh Sayadi shahraki Hossein Mansouri Maryam Zangiabadi Department of Applied Mathematics Faculty of Mathematical SciencesShahrekord UniversityP.O.Box 115ShahrekordIran

this paper,we propose an infeasible-interior-point method,based on a new wide neighborhood of the central path,for linear complementarity problems over symmetric cones with the Cartesian P_(∗)(κ)-*** convergence is shown for commutative class of search ***,we analyze the algorithm and obtain the complexity bounds,which coincide with the best-known results for the Cartesian P_(∗)(κ)-*** numerical tests are reported to illustrate our theoretical results.

关键词： Infeasible-interior-point method Symmetric cone optimization P_(∗)(κ)-property Wide neighborhood

Discrete Improved Grey Wolf Optimizer for Community Detection

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Journal of Bionic Engineering 2023年第5期20卷 2331-2358页

作者： Mohammad H.Nadimi-shahraki Ebrahim Moeini Shokooh Taghian Seyedali Mirjalili Faculty of Computer Engineering Najafabad BranchIslamic Azad UniversityNajafabad***Iran Big Data Research Center Najafabad BranchIslamic Azad UniversityNajafabad***Iran Centre for Artificial Intelligence Research and Optimisation Torrens UniversityBrisbane4006Australia Yonsei Frontier Lab Yonsei UniversitySeoulSouth Korea

Detecting communities in real and complex networks is a highly contested topic in network *** many metaheuristic-based algorithms for community detection have been proposed,they still cannot effectively fulfill large-scale and real-world ***,this paper presents a new discrete version of the Improved Grey Wolf Optimizer(I-GWO)algorithm named DI-GWOCD for effectively detecting communities of different *** the proposed DI-GWOCD algorithm,I-GWO is first armed using a local search strategy to discover and improve nodes placed in improper communities and increase its ability to search for a better *** a novel Binary Distance Vector(BDV)is introduced to calculate the wolves’distances and adapt I-GWO for solving the discrete community detection *** performance of the proposed DI-GWOCD was evaluated in terms of modularity,NMI,and the number of detected communities conducted by some well-known real-world network *** experimental results were compared with the state-of-the-art algorithms and statistically analyzed using the Friedman and Wilcoxon *** comparison and the statistical analysis show that the proposed DI-GWOCD can detect the communities with higher quality than other comparative algorithms.

关键词： Community detection Complex network Optimization Metaheuristic algorithms Swarm intelligence algorithms Grey wolf optimizer algorithm