Nonlinear stochasticmodelling plays an important character in the different fields of sciences such as environmental,material,engineering,chemistry,physics,biomedical engineering,and many more.In the current study,we ...Nonlinear stochasticmodelling plays an important character in the different fields of sciences such as environmental,material,engineering,chemistry,physics,biomedical engineering,and many more.In the current study,we studied the computational dynamics of the stochastic dengue model with the real material of the model.Positivity,boundedness,and dynamical consistency are essential features of stochastic modelling.Our focus is to design the computational method which preserves essential features of the model.The stochastic non-standard finite difference technique is most efficient as compared to other techniques used in literature.Analysis and comparison were explored in favour of convergence.Also,we address the comparison between the stochastic and deterministic models.展开更多
This research presents a novel nature-inspired metaheuristic algorithm called Frilled Lizard Optimization(FLO),which emulates the unique hunting behavior of frilled lizards in their natural habitat.FLO draws its inspi...This research presents a novel nature-inspired metaheuristic algorithm called Frilled Lizard Optimization(FLO),which emulates the unique hunting behavior of frilled lizards in their natural habitat.FLO draws its inspiration from the sit-and-wait hunting strategy of these lizards.The algorithm’s core principles are meticulously detailed and mathematically structured into two distinct phases:(i)an exploration phase,which mimics the lizard’s sudden attack on its prey,and(ii)an exploitation phase,which simulates the lizard’s retreat to the treetops after feeding.To assess FLO’s efficacy in addressing optimization problems,its performance is rigorously tested on fifty-two standard benchmark functions.These functions include unimodal,high-dimensional multimodal,and fixed-dimensional multimodal functions,as well as the challenging CEC 2017 test suite.FLO’s performance is benchmarked against twelve established metaheuristic algorithms,providing a comprehensive comparative analysis.The simulation results demonstrate that FLO excels in both exploration and exploitation,effectively balancing these two critical aspects throughout the search process.This balanced approach enables FLO to outperform several competing algorithms in numerous test cases.Additionally,FLO is applied to twenty-two constrained optimization problems from the CEC 2011 test suite and four complex engineering design problems,further validating its robustness and versatility in solving real-world optimization challenges.Overall,the study highlights FLO’s superior performance and its potential as a powerful tool for tackling a wide range of optimization problems.展开更多
Parabens are antimicrobial preservatives with extensive applications in cosmetics,toiletries,pharmaceuticals,and food.Considering the legitimate concerns relating to their potential to disrupt multiple endocrine funct...Parabens are antimicrobial preservatives with extensive applications in cosmetics,toiletries,pharmaceuticals,and food.Considering the legitimate concerns relating to their potential to disrupt multiple endocrine functions,it becomes imperative to prioritize the development of innovative bioanalytical techniques for effectively monitoring their presence in biological samples.In this study,an efficient solvent bar microextraction(SBME)was established,utilizing new hydrophobic deep eutectic solvents(DEs)to determine methylparaben and propylparaben in urine and plasma samples.The DEs comprising menthol and tris(2-ethylhexyl)phosphate(M-TEHP)at various molar ratios were synthesized for the first time to enhance the extraction capacity and promote the eco-friendliness of the DE used as an extraction solvent.Fourier-transform infrared(FT-IR)and proton nuclear magnetic resonance(1H NMR)spectroscopies were employed to confirm and investigate the properties of the successful synthesis(M-TEHP)DE at a molar ratio of 1:1.The synthesized DE exhibits low microbial toxicity and can be considered an eco-friendly solvent for extraction.Furthermore,quantum-chemical calculations were utilized to predict synthesized DE's structure and interaction energy with selected parabens.The influential operational factors of DE-SBME on the extraction efficiency(EE%)of both parabens were evaluated using response surface methodology based on central composite design,and a total of 30 extraction tests were conducted to determine the optimal conditions.The optimized DE-SBME,in combination with HPLC-DAD,exhibited low detection limits(0.54–0.91μg L^(−1)),excellent linearity(R^(2)≥0.9993),precise results(RSDs≤7.6%),satisfactory recoveries(92–97%)and negligible matrix effects.Hence,it had remarkable effectiveness and applicability in determining selected parabens in real urine and plasma samples.展开更多
This paper proposes a control strategy to maximize the wind energy captured in a variable speed wind turbine, with an internal induction generator, at low to medium wind speeds. The proposed strategy controls the tips...This paper proposes a control strategy to maximize the wind energy captured in a variable speed wind turbine, with an internal induction generator, at low to medium wind speeds. The proposed strategy controls the tipspeed ratio, via the rotor angular speed, to an optimum point at which the efficiency constant （or power coefficient） is maximum for a particular blade pitch angle and wind speed. This control method allows for aerodynan^c rotor power maximization without exact wind turbine model knowledge. Representative numerical results demonstrate that the wind turbine can be controlled to achieve near maximum energy capture.展开更多
In the present research,Tiwari and Das model are used for the impact of a magnetic field on non-Newtonian nanofluid flow in the presence of injection and suction.The PDEs are converted into ordinary differential equat...In the present research,Tiwari and Das model are used for the impact of a magnetic field on non-Newtonian nanofluid flow in the presence of injection and suction.The PDEs are converted into ordinary differential equations(ODEs)using the similarity method.The obtained ordinary differential equations are solved numerically using shooting method along with RK-4.Part of the present study uses nanoparticles(NPs)like TiO_(2) andAl_(2)O_(3) and sodium carboxymethyl cellulose(CMC/water)is considered as a base fluid(BF).This study is conducted to find the influence of nanoparticles,Prandtl number,and magnetic field on velocity and temperature profile,however,the Nusselt number and coefficient of skin friction parameters are also presented in detail with the variation of nanoparticles and parameters.The obtained results of the present study are presented usingMATLAB.In addition to these,some simulations of partial differential equations are also shown using software for graphing surface plots of velocity profile and streamlines along with surface plots and isothermal contours of the temperature profile.展开更多
This paper introduces a groundbreaking metaheuristic algorithm named Magnificent Frigatebird Optimization(MFO),inspired by the unique behaviors observed in magnificent frigatebirds in their natural habitats.The founda...This paper introduces a groundbreaking metaheuristic algorithm named Magnificent Frigatebird Optimization(MFO),inspired by the unique behaviors observed in magnificent frigatebirds in their natural habitats.The foundation of MFO is based on the kleptoparasitic behavior of these birds,where they steal prey from other seabirds.In this process,a magnificent frigatebird targets a food-carrying seabird,aggressively pecking at it until the seabird drops its prey.The frigatebird then swiftly dives to capture the abandoned prey before it falls into the water.The theoretical framework of MFO is thoroughly detailed and mathematically represented,mimicking the frigatebird’s kleptoparasitic behavior in two distinct phases:exploration and exploitation.During the exploration phase,the algorithm searches for new potential solutions across a broad area,akin to the frigatebird scouting for vulnerable seabirds.In the exploitation phase,the algorithm fine-tunes the solutions,similar to the frigatebird focusing on a single target to secure its meal.To evaluate MFO’s performance,the algorithm is tested on twenty-three standard benchmark functions,including unimodal,high-dimensional multimodal,and fixed-dimensional multimodal types.The results from these evaluations highlight MFO’s proficiency in balancing exploration and exploitation throughout the optimization process.Comparative studies with twelve well-known metaheuristic algo-rithms demonstrate that MFO consistently achieves superior optimization results,outperforming its competitors across various metrics.In addition,the implementation of MFO on four engineering design problems shows the effectiveness of the proposed approach in handling real-world applications,thereby validating its practical utility and robustness.展开更多
This paper introduces the Wolverine Optimization Algorithm(WoOA),a biomimetic method inspired by the foraging behaviors of wolverines in their natural habitats.WoOA innovatively integrates two primary strategies:scave...This paper introduces the Wolverine Optimization Algorithm(WoOA),a biomimetic method inspired by the foraging behaviors of wolverines in their natural habitats.WoOA innovatively integrates two primary strategies:scavenging and hunting,mirroring the wolverine’s adeptness in locating carrion and pursuing live prey.The algorithm’s uniqueness lies in its faithful simulation of these dual strategies,which are mathematically structured to optimize various types of problems effectively.The effectiveness of WoOA is rigorously evaluated using the Congress on Evolutionary Computation(CEC)2017 test suite across dimensions of 10,30,50,and 100.The results showcase WoOA’s robust performance in exploration,exploitation,and maintaining a balance between these phases throughout the search process.Compared to twelve established metaheuristic algorithms,WoOA consistently demonstrates a superior performance across diverse benchmark functions.Statistical analyses,including paired t-tests,Friedman test,and Wilcoxon rank-sum tests,validate WoOA’s significant competitive edge over its counterparts.Additionally,WoOA’s practical applicability is illustrated through its successful resolution of twenty-two constrained scenarios from the CEC 2011 suite and four complex engineering design challenges.These applications underscore WoOA’s efficacy in tackling real-world optimization challenges,further highlighting its potential for widespread adoption in engineering and scientific domains.展开更多
In this article,a novel metaheuristic technique named Far and Near Optimization(FNO)is introduced,offeringversatile applications across various scientific domains for optimization tasks.The core concept behind FNO lie...In this article,a novel metaheuristic technique named Far and Near Optimization(FNO)is introduced,offeringversatile applications across various scientific domains for optimization tasks.The core concept behind FNO lies inintegrating global and local search methodologies to update the algorithm population within the problem-solvingspace based on moving each member to the farthest and nearest member to itself.The paper delineates the theoryof FNO,presenting a mathematical model in two phases:(i)exploration based on the simulation of the movementof a population member towards the farthest member from itself and(ii)exploitation based on simulating themovement of a population member towards the nearest member from itself.FNO’s efficacy in tackling optimizationchallenges is assessed through its handling of the CEC 2017 test suite across problem dimensions of 10,30,50,and 100,as well as to address CEC 2020.The optimization results underscore FNO’s adeptness in exploration,exploitation,and maintaining a balance between them throughout the search process to yield viable solutions.Comparative analysis against twelve established metaheuristic algorithms reveals FNO’s superior performance.Simulation findings indicate FNO’s outperformance of competitor algorithms,securing the top rank as the mosteffective optimizer across a majority of benchmark functions.Moreover,the outcomes derived by employing FNOon twenty-two constrained optimization challenges from the CEC 2011 test suite,alongside four engineering designdilemmas,showcase the effectiveness of the suggested method in tackling real-world scenarios.展开更多
The efficiency of businesses is often hindered by the challenges encountered in traditional Supply Chain Manage-ment(SCM),which is characterized by elevated risks due to inadequate accountability and transparency.To a...The efficiency of businesses is often hindered by the challenges encountered in traditional Supply Chain Manage-ment(SCM),which is characterized by elevated risks due to inadequate accountability and transparency.To address these challenges and improve operations in green manufacturing,optimization algorithms play a crucial role in supporting decision-making processes.In this study,we propose a solution to the green lot size optimization issue by leveraging bio-inspired algorithms,notably the Stork Optimization Algorithm(SOA).The SOA draws inspiration from the hunting and winter migration strategies employed by storks in nature.The theoretical framework of SOA is elaborated and mathematically modeled through two distinct phases:exploration,based on migration simulation,and exploitation,based on hunting strategy simulation.To tackle the green lot size optimization issue,our methodology involved gathering real-world data,which was then transformed into a simplified function with multiple constraints aimed at optimizing total costs and minimizing CO_(2) emissions.This function served as input for the SOA model.Subsequently,the SOA model was applied to identify the optimal lot size that strikes a balance between cost-effectiveness and sustainability.Through extensive experimentation,we compared the performance of SOA with twelve established metaheuristic algorithms,consistently demonstrating that SOA outperformed the others.This study’s contribution lies in providing an effective solution to the sustainable lot-size optimization dilemma,thereby reducing environmental impact and enhancing supply chain efficiency.The simulation findings underscore that SOA consistently achieves superior outcomes compared to existing optimization methodologies,making it a promising approach for green manufacturing and sustainable supply chain management.展开更多
Nonlinear stochastic modeling plays a significant role in disciplines such as psychology,finance,physical sciences,engineering,econometrics,and biological sciences.Dynamical consistency,positivity,and boundedness are ...Nonlinear stochastic modeling plays a significant role in disciplines such as psychology,finance,physical sciences,engineering,econometrics,and biological sciences.Dynamical consistency,positivity,and boundedness are fundamental properties of stochastic modeling.A stochastic coronavirus model is studied with techniques of transition probabilities and parametric perturbation.Well-known explicit methods such as Euler Maruyama,stochastic Euler,and stochastic Runge–Kutta are investigated for the stochastic model.Regrettably,the above essential properties are not restored by existing methods.Hence,there is a need to construct essential properties preserving the computational method.The non-standard approach of finite difference is examined to maintain the above basic features of the stochastic model.The comparison of the results of deterministic and stochastic models is also presented.Our proposed efficient computational method well preserves the essential properties of the model.Comparison and convergence analyses of the method are presented.展开更多
ObjectiveUrinary incontinence (UI) is a prevalent condition with a negative impact on women's quality of life. Data about UI among Jordanian women are lacking;therefore, we aimed to investigate the prevalence, typ...ObjectiveUrinary incontinence (UI) is a prevalent condition with a negative impact on women's quality of life. Data about UI among Jordanian women are lacking;therefore, we aimed to investigate the prevalence, types, and associated factors.MethodsA cross sectional nationwide survey was conducted between 1 March 2020 and 15 April 2020. Women were included if they were 18 years of age or more and had access to the internet. Data collected included women's characteristics, UI types, and associated factors. UI was inventoried by asking women if they have UI (yes/no), and the Arabic language validated International Consultation on Incontinence Questionnaire Urinary Incontinence-Short Form was used. Age-group specific prevalence rates of UI were estimated, and associated factors were studied using logistic regression analyses.ResultsData from 2118 women were analysed. The median age was 40 (range 18–85) years;58.3% gave birth three or more times;and 64.1% consistently reported having UI. Limited mobility and being multiparous increased the likelihood of reporting UI. Compared to women with normal body mass index, overweight and obese women were 1.9 times and 4.4 times more likely to report UI, respectively.ConclusionThe prevalence of UI among Jordanian women is 64.1%, with mixed UI and stress UI being the more prevalent types in women younger than 60 years old. Age, parity body mass index, and limited mobility are all associated factors with UI. The results of this study provide healthcare policy makers with the necessary information to increase awareness and knowledge regarding UI.展开更多
In the present work,some novel α-amino nitriles were prepared:amino-2-(anthracen-9-yl)acetonitrile(AAN),and 2-(naphthalen-1-yl)-2-((triethoxysilyl)propyl)amino)acetonitrile(Si-AN).With the aid of other organic compou...In the present work,some novel α-amino nitriles were prepared:amino-2-(anthracen-9-yl)acetonitrile(AAN),and 2-(naphthalen-1-yl)-2-((triethoxysilyl)propyl)amino)acetonitrile(Si-AN).With the aid of other organic compounds(3-aminopropyl triethoxysilane“APTES”and tetraethyl orthosilicate“TEOS”),the following carbon nanotubes“CNT”and magnetite“Mag”based adsorbents were prepared:CNT-AAN,Mag-SiO_(2),Mag-SiO_(2)-APTES,Mag-SiO_(2)-Si-AN.The FT-IR,1H and 13C NMR spectroscopy proved the formation of(C triple bond N)and(NH-)bonds which indicated successful amino nitrile modification of the adsorbents.The ability of the above-mentioned adsorbents to remove cadmium“Cd(II)”from water was studied at various pH values.CNT modification with AAN reduced Cd(II)uptake,while all Mag modifications increased Cd uptake.The addition of AAN to the extraction medium with CNT sorbent reduced Cd(II)uptake.The addition of TEOS and Si-AN to the extraction medium for Cd(II)removal using Mag was studied where a positive impact was observed.Based on the above experiments,it was decided to use Mag as adsorbent with the addition of Si-AN to the extraction medium.Method optimization recommended pH 8 and Cd:Si-AN molar ratio of 1:1.The maximum adsorption capacity towards Cd(II)achieved in this study was 65 mg g^(−1).The method selectivity,re-usability and applicability on well water and tap water samples gave appropriate results.The adsorption of Cd(II)on Mag in the presence of Si-AN was fast,endothermic,spontaneous,favored and physi-sorption was predominant.展开更多
Cadmium“Cd”is a toxic pollutant that may present in soil and water.This work evaluates:i)the use of non-steroidal anti-inflammatory drugs“NSAIDs”-bearing water for washing soil containing Cd(Ⅱ),ii)removal of Cd(...Cadmium“Cd”is a toxic pollutant that may present in soil and water.This work evaluates:i)the use of non-steroidal anti-inflammatory drugs“NSAIDs”-bearing water for washing soil containing Cd(Ⅱ),ii)removal of Cd(Ⅱ)from NSAID-bearing water by adsorption onto magnetic graphene oxide which can be easily separated by strong magnet.The studied NSAIDs are aspirin,ketoprofen,ibuprofern and diclofenac.The Cd(Ⅱ)-NSAIDs complexes were synthesized and characterized by FT-IR.Graphene was initially oxidized by either nitric acid,or ammonium persulphate method,or Hummer's method.Magnetite was then deposited on graphene oxide to give the corresponding magnetic graphene oxides(NA-MGO,APSMGO and Hum-MGO,respectively).The effect of the following factors on Cd(Ⅱ)uptake was investigated:NSAIDs type,pH,graphene oxidation method,magnetite:graphene oxide mass ratio in the adsorbent,(Cd(Ⅱ):NSAID)molar ratio.Maximum Cd(Ⅱ)uptake was achieved using“magnetic graphene oxidized with ammonium persulphate where the mass ratio of magnetite to graphene oxide was 2:1”in the presence of diclofenac at pH6.The best Cd(Ⅱ):diclofenac molar ratio was 1:3.The maximum adsorption capacity of Cd(Ⅱ)was found to be 83 mg L1.The regeneration of the adsorbent was possible by 0.3 M HNO3 solution and 80%of adsorption efficiency was maintained after five cycles.Upon presence of coexisting ions,80%of the adsorption efficiency was maintained.Various NSAIDs-containing waters were used for washing Cd-containing soil;the maximum removal efficiencies of Cd were 18%and 16%using 5 mM diclofenac or 10 mM aspirin,respectively.Using diclofenac or aspirin-spiked real pharmaceutical wastewater gave 28%removal of Cd.The optimum adsorption method was used for removal of Cd(Ⅱ)from diclofenac-containing soil-washing water,where two successive adsorptions were needed for complete Cd uptake.展开更多
Objectives:This study aims to determine if patients with acute myocardial infarction differ in illness perception and secondary prevention outcomes depending on the treatment they received.Methods:A repeated measures ...Objectives:This study aims to determine if patients with acute myocardial infarction differ in illness perception and secondary prevention outcomes depending on the treatment they received.Methods:A repeated measures design was used to compare patients with acute myocardial infarction receiving three different treatment modalities:ST-elevation myocardial infarction treated by primary percutaneous coronary intervention,ST-elevation myocardial infarction treated by thrombolytic therapy,and non ST-elevation myocardial infarction treated by medication.A convenient sampling technique was used to recruit 206 patients with acute myocardial infarction who agreed to participate in the current study.Patients'illness perception,physical activity,and demographical and clinical data were collected during hospital admission and again at 6 months.Results:A total of 186 patients completed the study.Results showed that the primary percutaneous coronary intervention group perceived their illness as acute rather than chronic(P=0.034)and has lower personal control(P=0.032),higher treatment control(P=0.025),and higher perception of illness coherence(P=0.022)compared with patients receiving thrombolytic therapy and treated after non-ST segment infarction.Moreover,they report low control of their blood pressure(P=0.013)and less physical activity(P=0.001).Conclusion:The results of this study revealed that patients'treated with primary percutaneous coronary intervention had negative illness perception and limited behavioral changes 6 months after hospitalization in comparison with other treatment modalities such as percutaneous coronary intervention and thrombolytic treatment.Further research is recommended to confirm this association with longer follow-up study and among different cultures.展开更多
Flash floods(FFs)are amongst the most devastating hazards in arid regions in response to climate change and can cause the loss of agricultural land,human lives and infrastructure.One of the major challenges is the hig...Flash floods(FFs)are amongst the most devastating hazards in arid regions in response to climate change and can cause the loss of agricultural land,human lives and infrastructure.One of the major challenges is the high-intensity rainfall events affecting low-lying areas that are vulnerable to FF.Several works in this field have been conducted using ensemble machine learning models and geohydrological models.However,the current advancement of eXtreme deep learning,which is named eXtreme deep factorisation machine(xDeepFM),for FF susceptibility mapping(FSM)is lacking in the literature.The current study introduces a new model and employs a previously unapplied approach to enhance FSM for capturing the severity of floods.The proposed approach has three main objectives:(i)During-and after-flood effects are assessed through flood detection techniques using Sentinel-1 data.(ii)Flood inventory is updated using remote sensing-based methods.The derived flood effects are implemented in the next step.(iii)An FSM map is generated using an xDeepFM model.Therefore,this study aims to apply xDeepFM to estimate susceptible areas using 13 factors in the emirates of Fujairah,UAE.The performance metrics show a recall of 0.9488),an F1-score of 0.9107),precision of(0.8756)and an overall accuracy of 90.41%.The accuracy of the applied xDeepFM model is compared with that of traditional machine learning models,specifically the deep neural network(78%),support vector machine(85.4%)and random forest(88.75%).Random forest achieves high accuracy,which is due to its strong performance that depends on factors contribution,dataset size and quality,and available computational resources.Comparatively,the xDeepFM model works efficiently for complicated prediction problems having high non-collinearity and huge datasets.The obtained map denotes that the narrow basins,lowland coastal areas and riverbank areas up to 5 km(Fujairah)are highly prone to FF,whilst the alluvial plains in Al Dhaid and hilly regions in Fujairah show low probability.The coastal 展开更多
The deep aquifers in Jordan contain non-renewable and fossil groundwater and their extraction is quasi a mining process, which ends in the depletion of these resources. Although aquifers in the majority of groundwater...The deep aquifers in Jordan contain non-renewable and fossil groundwater and their extraction is quasi a mining process, which ends in the depletion of these resources. Although aquifers in the majority of groundwater basins in Jordan are vertically and horizontally interconnected stratification in different water quality horizons with generally increasing water salinity with the depth is observed. Many officials and planners advocate the extraction of deep salty and brackish water to be desalinated and used in household, industrial, and agricultural uses. In this article, the quality of the groundwater in the different deep aquifers and areas in Jordan is discussed. The results of this study show that the consequences of the deep groundwater exploitation are not restricted to depletion of the deep aquifers but also that the overlying fresh groundwater will, due to vertical and horizontal interconnectedness of the different aquifers, percolate down to replace the extracted deep groundwater. This will cause the down-percolating fresh groundwater to become salinized in the deep saline aquifers, which means that extracting the deep brackish and saline groundwater is not only an emptying process of the deep groundwater but also it is an emptying process of the fresh groundwater overlying them. The results allow to conclude that any extraction of the deep groundwater in areas lying to the north of Ras en Naqab Escarpment will have damaging impacts on the fresh groundwater in the overlying fresh groundwater aquifers. This article strongly advises not to extract the deep brackish and saline groundwater, but to conserve that groundwater as a base supporting the overlying fresh groundwater resources, and that will help in protecting the thermal mineralized water springs used in spas originating from these deep aquifers. The increasing water needs of the country can be covered by the desalination of seawater at Aqaba, which is the only viable option for Jordan at present and in the coming decades.展开更多
Cloud Datacenter Network(CDN)providers usually have the option to scale their network structures to allow for far more resource capacities,though such scaling options may come with exponential costs that contradict th...Cloud Datacenter Network(CDN)providers usually have the option to scale their network structures to allow for far more resource capacities,though such scaling options may come with exponential costs that contradict their utility objectives.Yet,besides the cost of the physical assets and network resources,such scaling may also imposemore loads on the electricity power grids to feed the added nodes with the required energy to run and cool,which comes with extra costs too.Thus,those CDNproviders who utilize their resources better can certainly afford their services at lower price-units when compared to others who simply choose the scaling solutions.Resource utilization is a quite challenging process;indeed,clients of CDNs usually tend to exaggerate their true resource requirements when they lease their resources.Service providers are committed to their clients with Service Level Agreements(SLAs).Therefore,any amendment to the resource allocations needs to be approved by the clients first.In this work,we propose deploying a Stackelberg leadership framework to formulate a negotiation game between the cloud service providers and their client tenants.Through this,the providers seek to retrieve those leased unused resources from their clients.Cooperation is not expected from the clients,and they may ask high price units to return their extra resources to the provider’s premises.Hence,to motivate cooperation in such a non-cooperative game,as an extension to theVickery auctions,we developed an incentive-compatible pricingmodel for the returned resources.Moreover,we also proposed building a behavior belief function that shapes the way of negotiation and compensation for each client.Compared to other benchmark models,the assessment results showthat our proposed models provide for timely negotiation schemes,allowing for better resource utilization rates,higher utilities,and grid-friend CDNs.展开更多
The effects of shot peening on the mechanical properties of steel 1070 were studied to enhance the material’s properties and surface characteristics.In this study,pressure and exposure time were the main parameters g...The effects of shot peening on the mechanical properties of steel 1070 were studied to enhance the material’s properties and surface characteristics.In this study,pressure and exposure time were the main parameters governing surface hardness and surface roughness.The optimal time duration and pressure were determined after several experimental trials.Changes in hardness and surface roughness were monitored as the pressure of the shot and the exposure time were varied.Furthermore,the microstructure was evaluated by scanning electron microscopy(SEM)and the images were enhanced by image processing techniques to evaluate the surface changes.Pareto charts were constructed to estimate the effects of pressure and time on both surface hardness and surface roughness.The novelty of this study is the concentration on engine blades which are frequently used in aircrafts to determine the optimal time–pressure combination for shot peening to achieve suitable mechanical and surface properties.The results show that shot peening pressure(up to 482.6 kPa for 7 min)has positive effect on enhancing the surface and mechanical properties for steel 1070 blades;however,an increase in either pressure or time above that level adversely affected both surface hardness and surface roughness.展开更多
Having established itself as a heritage discourse,planetary gentrification is being studied in terms of how it operates in the Global South.This study focuses on the case of Abdali Amman,a significant mixed-use neighb...Having established itself as a heritage discourse,planetary gentrification is being studied in terms of how it operates in the Global South.This study focuses on the case of Abdali Amman,a significant mixed-use neighbourhood in Jordan that has experienced numerous mega-gentrification initiatives.According to Bourdieu’s theories of the state and dispositional practices,this study critically evaluates urban gentrification practices.In terms of gentrification governance,which takes place in two adjacent‘state’and‘civic’zones inside the Abdali district,this study analyses the interactions between transnational and state actors and the intragovernmental(state-municipality)governance system.Gentrification in Amman is connected to the revitalisation of historic sites,is a matter of urban governance,and operates from the transnational sphere along national and local lines.Furthermore,gentrification is caught in a desire/resistance paradox with calls for legitimacy and recognition.As a country in the Global South,Jordan has welcomed capitalist urbanisation.Gentrification is articulated within a flux between deterritorialisation/reterritorialisation,producing a form of‘heritage gentrification’in which history and national heritage are sacrificed through a process of satellite gentrification that is rooted in generative cultural transformation and governed by decentralised power structures.Introducing a Western blueprint of planetary gentrification through narrow gates into non-Western environments is a prevailing challenge.展开更多
基金funded by the Research and initiative centre RGDES2017-01-17,Prince Sultan University.
文摘Nonlinear stochasticmodelling plays an important character in the different fields of sciences such as environmental,material,engineering,chemistry,physics,biomedical engineering,and many more.In the current study,we studied the computational dynamics of the stochastic dengue model with the real material of the model.Positivity,boundedness,and dynamical consistency are essential features of stochastic modelling.Our focus is to design the computational method which preserves essential features of the model.The stochastic non-standard finite difference technique is most efficient as compared to other techniques used in literature.Analysis and comparison were explored in favour of convergence.Also,we address the comparison between the stochastic and deterministic models.
文摘This research presents a novel nature-inspired metaheuristic algorithm called Frilled Lizard Optimization(FLO),which emulates the unique hunting behavior of frilled lizards in their natural habitat.FLO draws its inspiration from the sit-and-wait hunting strategy of these lizards.The algorithm’s core principles are meticulously detailed and mathematically structured into two distinct phases:(i)an exploration phase,which mimics the lizard’s sudden attack on its prey,and(ii)an exploitation phase,which simulates the lizard’s retreat to the treetops after feeding.To assess FLO’s efficacy in addressing optimization problems,its performance is rigorously tested on fifty-two standard benchmark functions.These functions include unimodal,high-dimensional multimodal,and fixed-dimensional multimodal functions,as well as the challenging CEC 2017 test suite.FLO’s performance is benchmarked against twelve established metaheuristic algorithms,providing a comprehensive comparative analysis.The simulation results demonstrate that FLO excels in both exploration and exploitation,effectively balancing these two critical aspects throughout the search process.This balanced approach enables FLO to outperform several competing algorithms in numerous test cases.Additionally,FLO is applied to twenty-two constrained optimization problems from the CEC 2011 test suite and four complex engineering design problems,further validating its robustness and versatility in solving real-world optimization challenges.Overall,the study highlights FLO’s superior performance and its potential as a powerful tool for tackling a wide range of optimization problems.
文摘Parabens are antimicrobial preservatives with extensive applications in cosmetics,toiletries,pharmaceuticals,and food.Considering the legitimate concerns relating to their potential to disrupt multiple endocrine functions,it becomes imperative to prioritize the development of innovative bioanalytical techniques for effectively monitoring their presence in biological samples.In this study,an efficient solvent bar microextraction(SBME)was established,utilizing new hydrophobic deep eutectic solvents(DEs)to determine methylparaben and propylparaben in urine and plasma samples.The DEs comprising menthol and tris(2-ethylhexyl)phosphate(M-TEHP)at various molar ratios were synthesized for the first time to enhance the extraction capacity and promote the eco-friendliness of the DE used as an extraction solvent.Fourier-transform infrared(FT-IR)and proton nuclear magnetic resonance(1H NMR)spectroscopies were employed to confirm and investigate the properties of the successful synthesis(M-TEHP)DE at a molar ratio of 1:1.The synthesized DE exhibits low microbial toxicity and can be considered an eco-friendly solvent for extraction.Furthermore,quantum-chemical calculations were utilized to predict synthesized DE's structure and interaction energy with selected parabens.The influential operational factors of DE-SBME on the extraction efficiency(EE%)of both parabens were evaluated using response surface methodology based on central composite design,and a total of 30 extraction tests were conducted to determine the optimal conditions.The optimized DE-SBME,in combination with HPLC-DAD,exhibited low detection limits(0.54–0.91μg L^(−1)),excellent linearity(R^(2)≥0.9993),precise results(RSDs≤7.6%),satisfactory recoveries(92–97%)and negligible matrix effects.Hence,it had remarkable effectiveness and applicability in determining selected parabens in real urine and plasma samples.
文摘This paper proposes a control strategy to maximize the wind energy captured in a variable speed wind turbine, with an internal induction generator, at low to medium wind speeds. The proposed strategy controls the tipspeed ratio, via the rotor angular speed, to an optimum point at which the efficiency constant （or power coefficient） is maximum for a particular blade pitch angle and wind speed. This control method allows for aerodynan^c rotor power maximization without exact wind turbine model knowledge. Representative numerical results demonstrate that the wind turbine can be controlled to achieve near maximum energy capture.
基金The fifth author also thanks Prince Sultan University for funding this work through research-group number RG-DES2017-01-17.
文摘In the present research,Tiwari and Das model are used for the impact of a magnetic field on non-Newtonian nanofluid flow in the presence of injection and suction.The PDEs are converted into ordinary differential equations(ODEs)using the similarity method.The obtained ordinary differential equations are solved numerically using shooting method along with RK-4.Part of the present study uses nanoparticles(NPs)like TiO_(2) andAl_(2)O_(3) and sodium carboxymethyl cellulose(CMC/water)is considered as a base fluid(BF).This study is conducted to find the influence of nanoparticles,Prandtl number,and magnetic field on velocity and temperature profile,however,the Nusselt number and coefficient of skin friction parameters are also presented in detail with the variation of nanoparticles and parameters.The obtained results of the present study are presented usingMATLAB.In addition to these,some simulations of partial differential equations are also shown using software for graphing surface plots of velocity profile and streamlines along with surface plots and isothermal contours of the temperature profile.
基金This research is funded by the Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan(Grant No.AP19674517).
文摘This paper introduces a groundbreaking metaheuristic algorithm named Magnificent Frigatebird Optimization(MFO),inspired by the unique behaviors observed in magnificent frigatebirds in their natural habitats.The foundation of MFO is based on the kleptoparasitic behavior of these birds,where they steal prey from other seabirds.In this process,a magnificent frigatebird targets a food-carrying seabird,aggressively pecking at it until the seabird drops its prey.The frigatebird then swiftly dives to capture the abandoned prey before it falls into the water.The theoretical framework of MFO is thoroughly detailed and mathematically represented,mimicking the frigatebird’s kleptoparasitic behavior in two distinct phases:exploration and exploitation.During the exploration phase,the algorithm searches for new potential solutions across a broad area,akin to the frigatebird scouting for vulnerable seabirds.In the exploitation phase,the algorithm fine-tunes the solutions,similar to the frigatebird focusing on a single target to secure its meal.To evaluate MFO’s performance,the algorithm is tested on twenty-three standard benchmark functions,including unimodal,high-dimensional multimodal,and fixed-dimensional multimodal types.The results from these evaluations highlight MFO’s proficiency in balancing exploration and exploitation throughout the optimization process.Comparative studies with twelve well-known metaheuristic algo-rithms demonstrate that MFO consistently achieves superior optimization results,outperforming its competitors across various metrics.In addition,the implementation of MFO on four engineering design problems shows the effectiveness of the proposed approach in handling real-world applications,thereby validating its practical utility and robustness.
文摘This paper introduces the Wolverine Optimization Algorithm(WoOA),a biomimetic method inspired by the foraging behaviors of wolverines in their natural habitats.WoOA innovatively integrates two primary strategies:scavenging and hunting,mirroring the wolverine’s adeptness in locating carrion and pursuing live prey.The algorithm’s uniqueness lies in its faithful simulation of these dual strategies,which are mathematically structured to optimize various types of problems effectively.The effectiveness of WoOA is rigorously evaluated using the Congress on Evolutionary Computation(CEC)2017 test suite across dimensions of 10,30,50,and 100.The results showcase WoOA’s robust performance in exploration,exploitation,and maintaining a balance between these phases throughout the search process.Compared to twelve established metaheuristic algorithms,WoOA consistently demonstrates a superior performance across diverse benchmark functions.Statistical analyses,including paired t-tests,Friedman test,and Wilcoxon rank-sum tests,validate WoOA’s significant competitive edge over its counterparts.Additionally,WoOA’s practical applicability is illustrated through its successful resolution of twenty-two constrained scenarios from the CEC 2011 suite and four complex engineering design challenges.These applications underscore WoOA’s efficacy in tackling real-world optimization challenges,further highlighting its potential for widespread adoption in engineering and scientific domains.
文摘In this article,a novel metaheuristic technique named Far and Near Optimization(FNO)is introduced,offeringversatile applications across various scientific domains for optimization tasks.The core concept behind FNO lies inintegrating global and local search methodologies to update the algorithm population within the problem-solvingspace based on moving each member to the farthest and nearest member to itself.The paper delineates the theoryof FNO,presenting a mathematical model in two phases:(i)exploration based on the simulation of the movementof a population member towards the farthest member from itself and(ii)exploitation based on simulating themovement of a population member towards the nearest member from itself.FNO’s efficacy in tackling optimizationchallenges is assessed through its handling of the CEC 2017 test suite across problem dimensions of 10,30,50,and 100,as well as to address CEC 2020.The optimization results underscore FNO’s adeptness in exploration,exploitation,and maintaining a balance between them throughout the search process to yield viable solutions.Comparative analysis against twelve established metaheuristic algorithms reveals FNO’s superior performance.Simulation findings indicate FNO’s outperformance of competitor algorithms,securing the top rank as the mosteffective optimizer across a majority of benchmark functions.Moreover,the outcomes derived by employing FNOon twenty-two constrained optimization challenges from the CEC 2011 test suite,alongside four engineering designdilemmas,showcase the effectiveness of the suggested method in tackling real-world scenarios.
基金This research is funded by the Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan,Grant No.AP19674517.
文摘The efficiency of businesses is often hindered by the challenges encountered in traditional Supply Chain Manage-ment(SCM),which is characterized by elevated risks due to inadequate accountability and transparency.To address these challenges and improve operations in green manufacturing,optimization algorithms play a crucial role in supporting decision-making processes.In this study,we propose a solution to the green lot size optimization issue by leveraging bio-inspired algorithms,notably the Stork Optimization Algorithm(SOA).The SOA draws inspiration from the hunting and winter migration strategies employed by storks in nature.The theoretical framework of SOA is elaborated and mathematically modeled through two distinct phases:exploration,based on migration simulation,and exploitation,based on hunting strategy simulation.To tackle the green lot size optimization issue,our methodology involved gathering real-world data,which was then transformed into a simplified function with multiple constraints aimed at optimizing total costs and minimizing CO_(2) emissions.This function served as input for the SOA model.Subsequently,the SOA model was applied to identify the optimal lot size that strikes a balance between cost-effectiveness and sustainability.Through extensive experimentation,we compared the performance of SOA with twelve established metaheuristic algorithms,consistently demonstrating that SOA outperformed the others.This study’s contribution lies in providing an effective solution to the sustainable lot-size optimization dilemma,thereby reducing environmental impact and enhancing supply chain efficiency.The simulation findings underscore that SOA consistently achieves superior outcomes compared to existing optimization methodologies,making it a promising approach for green manufacturing and sustainable supply chain management.
基金the Research and initiative center COVID-19-DES-2020-65,Prince Sultan University.
文摘Nonlinear stochastic modeling plays a significant role in disciplines such as psychology,finance,physical sciences,engineering,econometrics,and biological sciences.Dynamical consistency,positivity,and boundedness are fundamental properties of stochastic modeling.A stochastic coronavirus model is studied with techniques of transition probabilities and parametric perturbation.Well-known explicit methods such as Euler Maruyama,stochastic Euler,and stochastic Runge–Kutta are investigated for the stochastic model.Regrettably,the above essential properties are not restored by existing methods.Hence,there is a need to construct essential properties preserving the computational method.The non-standard approach of finite difference is examined to maintain the above basic features of the stochastic model.The comparison of the results of deterministic and stochastic models is also presented.Our proposed efficient computational method well preserves the essential properties of the model.Comparison and convergence analyses of the method are presented.
文摘ObjectiveUrinary incontinence (UI) is a prevalent condition with a negative impact on women's quality of life. Data about UI among Jordanian women are lacking;therefore, we aimed to investigate the prevalence, types, and associated factors.MethodsA cross sectional nationwide survey was conducted between 1 March 2020 and 15 April 2020. Women were included if they were 18 years of age or more and had access to the internet. Data collected included women's characteristics, UI types, and associated factors. UI was inventoried by asking women if they have UI (yes/no), and the Arabic language validated International Consultation on Incontinence Questionnaire Urinary Incontinence-Short Form was used. Age-group specific prevalence rates of UI were estimated, and associated factors were studied using logistic regression analyses.ResultsData from 2118 women were analysed. The median age was 40 (range 18–85) years;58.3% gave birth three or more times;and 64.1% consistently reported having UI. Limited mobility and being multiparous increased the likelihood of reporting UI. Compared to women with normal body mass index, overweight and obese women were 1.9 times and 4.4 times more likely to report UI, respectively.ConclusionThe prevalence of UI among Jordanian women is 64.1%, with mixed UI and stress UI being the more prevalent types in women younger than 60 years old. Age, parity body mass index, and limited mobility are all associated factors with UI. The results of this study provide healthcare policy makers with the necessary information to increase awareness and knowledge regarding UI.
文摘In the present work,some novel α-amino nitriles were prepared:amino-2-(anthracen-9-yl)acetonitrile(AAN),and 2-(naphthalen-1-yl)-2-((triethoxysilyl)propyl)amino)acetonitrile(Si-AN).With the aid of other organic compounds(3-aminopropyl triethoxysilane“APTES”and tetraethyl orthosilicate“TEOS”),the following carbon nanotubes“CNT”and magnetite“Mag”based adsorbents were prepared:CNT-AAN,Mag-SiO_(2),Mag-SiO_(2)-APTES,Mag-SiO_(2)-Si-AN.The FT-IR,1H and 13C NMR spectroscopy proved the formation of(C triple bond N)and(NH-)bonds which indicated successful amino nitrile modification of the adsorbents.The ability of the above-mentioned adsorbents to remove cadmium“Cd(II)”from water was studied at various pH values.CNT modification with AAN reduced Cd(II)uptake,while all Mag modifications increased Cd uptake.The addition of AAN to the extraction medium with CNT sorbent reduced Cd(II)uptake.The addition of TEOS and Si-AN to the extraction medium for Cd(II)removal using Mag was studied where a positive impact was observed.Based on the above experiments,it was decided to use Mag as adsorbent with the addition of Si-AN to the extraction medium.Method optimization recommended pH 8 and Cd:Si-AN molar ratio of 1:1.The maximum adsorption capacity towards Cd(II)achieved in this study was 65 mg g^(−1).The method selectivity,re-usability and applicability on well water and tap water samples gave appropriate results.The adsorption of Cd(II)on Mag in the presence of Si-AN was fast,endothermic,spontaneous,favored and physi-sorption was predominant.
文摘Cadmium“Cd”is a toxic pollutant that may present in soil and water.This work evaluates:i)the use of non-steroidal anti-inflammatory drugs“NSAIDs”-bearing water for washing soil containing Cd(Ⅱ),ii)removal of Cd(Ⅱ)from NSAID-bearing water by adsorption onto magnetic graphene oxide which can be easily separated by strong magnet.The studied NSAIDs are aspirin,ketoprofen,ibuprofern and diclofenac.The Cd(Ⅱ)-NSAIDs complexes were synthesized and characterized by FT-IR.Graphene was initially oxidized by either nitric acid,or ammonium persulphate method,or Hummer's method.Magnetite was then deposited on graphene oxide to give the corresponding magnetic graphene oxides(NA-MGO,APSMGO and Hum-MGO,respectively).The effect of the following factors on Cd(Ⅱ)uptake was investigated:NSAIDs type,pH,graphene oxidation method,magnetite:graphene oxide mass ratio in the adsorbent,(Cd(Ⅱ):NSAID)molar ratio.Maximum Cd(Ⅱ)uptake was achieved using“magnetic graphene oxidized with ammonium persulphate where the mass ratio of magnetite to graphene oxide was 2:1”in the presence of diclofenac at pH6.The best Cd(Ⅱ):diclofenac molar ratio was 1:3.The maximum adsorption capacity of Cd(Ⅱ)was found to be 83 mg L1.The regeneration of the adsorbent was possible by 0.3 M HNO3 solution and 80%of adsorption efficiency was maintained after five cycles.Upon presence of coexisting ions,80%of the adsorption efficiency was maintained.Various NSAIDs-containing waters were used for washing Cd-containing soil;the maximum removal efficiencies of Cd were 18%and 16%using 5 mM diclofenac or 10 mM aspirin,respectively.Using diclofenac or aspirin-spiked real pharmaceutical wastewater gave 28%removal of Cd.The optimum adsorption method was used for removal of Cd(Ⅱ)from diclofenac-containing soil-washing water,where two successive adsorptions were needed for complete Cd uptake.
文摘Objectives:This study aims to determine if patients with acute myocardial infarction differ in illness perception and secondary prevention outcomes depending on the treatment they received.Methods:A repeated measures design was used to compare patients with acute myocardial infarction receiving three different treatment modalities:ST-elevation myocardial infarction treated by primary percutaneous coronary intervention,ST-elevation myocardial infarction treated by thrombolytic therapy,and non ST-elevation myocardial infarction treated by medication.A convenient sampling technique was used to recruit 206 patients with acute myocardial infarction who agreed to participate in the current study.Patients'illness perception,physical activity,and demographical and clinical data were collected during hospital admission and again at 6 months.Results:A total of 186 patients completed the study.Results showed that the primary percutaneous coronary intervention group perceived their illness as acute rather than chronic(P=0.034)and has lower personal control(P=0.032),higher treatment control(P=0.025),and higher perception of illness coherence(P=0.022)compared with patients receiving thrombolytic therapy and treated after non-ST segment infarction.Moreover,they report low control of their blood pressure(P=0.013)and less physical activity(P=0.001).Conclusion:The results of this study revealed that patients'treated with primary percutaneous coronary intervention had negative illness perception and limited behavioral changes 6 months after hospitalization in comparison with other treatment modalities such as percutaneous coronary intervention and thrombolytic treatment.Further research is recommended to confirm this association with longer follow-up study and among different cultures.
基金the University of Sharjah and Fujairah Research Centre(Grant No.1902041134-P)that helped to facilitate this research.
文摘Flash floods(FFs)are amongst the most devastating hazards in arid regions in response to climate change and can cause the loss of agricultural land,human lives and infrastructure.One of the major challenges is the high-intensity rainfall events affecting low-lying areas that are vulnerable to FF.Several works in this field have been conducted using ensemble machine learning models and geohydrological models.However,the current advancement of eXtreme deep learning,which is named eXtreme deep factorisation machine(xDeepFM),for FF susceptibility mapping(FSM)is lacking in the literature.The current study introduces a new model and employs a previously unapplied approach to enhance FSM for capturing the severity of floods.The proposed approach has three main objectives:(i)During-and after-flood effects are assessed through flood detection techniques using Sentinel-1 data.(ii)Flood inventory is updated using remote sensing-based methods.The derived flood effects are implemented in the next step.(iii)An FSM map is generated using an xDeepFM model.Therefore,this study aims to apply xDeepFM to estimate susceptible areas using 13 factors in the emirates of Fujairah,UAE.The performance metrics show a recall of 0.9488),an F1-score of 0.9107),precision of(0.8756)and an overall accuracy of 90.41%.The accuracy of the applied xDeepFM model is compared with that of traditional machine learning models,specifically the deep neural network(78%),support vector machine(85.4%)and random forest(88.75%).Random forest achieves high accuracy,which is due to its strong performance that depends on factors contribution,dataset size and quality,and available computational resources.Comparatively,the xDeepFM model works efficiently for complicated prediction problems having high non-collinearity and huge datasets.The obtained map denotes that the narrow basins,lowland coastal areas and riverbank areas up to 5 km(Fujairah)are highly prone to FF,whilst the alluvial plains in Al Dhaid and hilly regions in Fujairah show low probability.The coastal
文摘The deep aquifers in Jordan contain non-renewable and fossil groundwater and their extraction is quasi a mining process, which ends in the depletion of these resources. Although aquifers in the majority of groundwater basins in Jordan are vertically and horizontally interconnected stratification in different water quality horizons with generally increasing water salinity with the depth is observed. Many officials and planners advocate the extraction of deep salty and brackish water to be desalinated and used in household, industrial, and agricultural uses. In this article, the quality of the groundwater in the different deep aquifers and areas in Jordan is discussed. The results of this study show that the consequences of the deep groundwater exploitation are not restricted to depletion of the deep aquifers but also that the overlying fresh groundwater will, due to vertical and horizontal interconnectedness of the different aquifers, percolate down to replace the extracted deep groundwater. This will cause the down-percolating fresh groundwater to become salinized in the deep saline aquifers, which means that extracting the deep brackish and saline groundwater is not only an emptying process of the deep groundwater but also it is an emptying process of the fresh groundwater overlying them. The results allow to conclude that any extraction of the deep groundwater in areas lying to the north of Ras en Naqab Escarpment will have damaging impacts on the fresh groundwater in the overlying fresh groundwater aquifers. This article strongly advises not to extract the deep brackish and saline groundwater, but to conserve that groundwater as a base supporting the overlying fresh groundwater resources, and that will help in protecting the thermal mineralized water springs used in spas originating from these deep aquifers. The increasing water needs of the country can be covered by the desalination of seawater at Aqaba, which is the only viable option for Jordan at present and in the coming decades.
基金The Deanship of Scientific Research at Hashemite University partially funds this workDeanship of Scientific Research at the Northern Border University,Arar,KSA for funding this research work through the project number“NBU-FFR-2024-1580-08”.
文摘Cloud Datacenter Network(CDN)providers usually have the option to scale their network structures to allow for far more resource capacities,though such scaling options may come with exponential costs that contradict their utility objectives.Yet,besides the cost of the physical assets and network resources,such scaling may also imposemore loads on the electricity power grids to feed the added nodes with the required energy to run and cool,which comes with extra costs too.Thus,those CDNproviders who utilize their resources better can certainly afford their services at lower price-units when compared to others who simply choose the scaling solutions.Resource utilization is a quite challenging process;indeed,clients of CDNs usually tend to exaggerate their true resource requirements when they lease their resources.Service providers are committed to their clients with Service Level Agreements(SLAs).Therefore,any amendment to the resource allocations needs to be approved by the clients first.In this work,we propose deploying a Stackelberg leadership framework to formulate a negotiation game between the cloud service providers and their client tenants.Through this,the providers seek to retrieve those leased unused resources from their clients.Cooperation is not expected from the clients,and they may ask high price units to return their extra resources to the provider’s premises.Hence,to motivate cooperation in such a non-cooperative game,as an extension to theVickery auctions,we developed an incentive-compatible pricingmodel for the returned resources.Moreover,we also proposed building a behavior belief function that shapes the way of negotiation and compensation for each client.Compared to other benchmark models,the assessment results showthat our proposed models provide for timely negotiation schemes,allowing for better resource utilization rates,higher utilities,and grid-friend CDNs.
文摘The effects of shot peening on the mechanical properties of steel 1070 were studied to enhance the material’s properties and surface characteristics.In this study,pressure and exposure time were the main parameters governing surface hardness and surface roughness.The optimal time duration and pressure were determined after several experimental trials.Changes in hardness and surface roughness were monitored as the pressure of the shot and the exposure time were varied.Furthermore,the microstructure was evaluated by scanning electron microscopy(SEM)and the images were enhanced by image processing techniques to evaluate the surface changes.Pareto charts were constructed to estimate the effects of pressure and time on both surface hardness and surface roughness.The novelty of this study is the concentration on engine blades which are frequently used in aircrafts to determine the optimal time–pressure combination for shot peening to achieve suitable mechanical and surface properties.The results show that shot peening pressure(up to 482.6 kPa for 7 min)has positive effect on enhancing the surface and mechanical properties for steel 1070 blades;however,an increase in either pressure or time above that level adversely affected both surface hardness and surface roughness.
文摘Having established itself as a heritage discourse,planetary gentrification is being studied in terms of how it operates in the Global South.This study focuses on the case of Abdali Amman,a significant mixed-use neighbourhood in Jordan that has experienced numerous mega-gentrification initiatives.According to Bourdieu’s theories of the state and dispositional practices,this study critically evaluates urban gentrification practices.In terms of gentrification governance,which takes place in two adjacent‘state’and‘civic’zones inside the Abdali district,this study analyses the interactions between transnational and state actors and the intragovernmental(state-municipality)governance system.Gentrification in Amman is connected to the revitalisation of historic sites,is a matter of urban governance,and operates from the transnational sphere along national and local lines.Furthermore,gentrification is caught in a desire/resistance paradox with calls for legitimacy and recognition.As a country in the Global South,Jordan has welcomed capitalist urbanisation.Gentrification is articulated within a flux between deterritorialisation/reterritorialisation,producing a form of‘heritage gentrification’in which history and national heritage are sacrificed through a process of satellite gentrification that is rooted in generative cultural transformation and governed by decentralised power structures.Introducing a Western blueprint of planetary gentrification through narrow gates into non-Western environments is a prevailing challenge.
