Accurate prediction of concrete compressive strength is fundamental for optimizing mix designs,improving material utilization,and ensuring structural safety in modern construction.Traditional empirical methods often f...Accurate prediction of concrete compressive strength is fundamental for optimizing mix designs,improving material utilization,and ensuring structural safety in modern construction.Traditional empirical methods often fail to capture the non-linear relationships among concrete constituents,especially with the growing use of supple-mentary cementitious materials and recycled aggregates.This study presents an integrated machine learning framework for concrete strength prediction,combining advanced regression models—namely CatBoost—with metaheuristic optimization algorithms,with a particular focus on the Somersaulting Spider Optimizer(SSO).A comprehensive dataset encompassing diverse mix proportions and material types was used to evaluate baseline machine learning models,including CatBoost,XGBoost,ExtraTrees,and RandomForest.Among these,CatBoost demonstrated superior accuracy across multiple performance metrics.To further enhance predictive capability,several bio-inspired optimizers were employed for hyperparameter tuning.The SSO-CatBoost hybrid achieved the lowest mean squared error and highest correlation coefficients,outperforming other metaheuristic approaches such as Genetic Algorithm,Particle Swarm Optimization,and Grey Wolf Optimizer.Statistical significance was established through Analysis of Variance and Wilcoxon signed-rank testing,confirming the robustness of the optimized models.The proposed methodology not only delivers improved predictive performance but also offers a transparent framework for mix design optimization,supporting data-driven decision making in sustainable and resilient infrastructure development.展开更多
A novel siphon-based divide-and-conquer(SbDaC)policy is presented in this paper for the synthesis of Petri net(PN)based liveness-enforcing supervisors(LES)for flexible manufacturing systems(FMS)prone to deadlocks or l...A novel siphon-based divide-and-conquer(SbDaC)policy is presented in this paper for the synthesis of Petri net(PN)based liveness-enforcing supervisors(LES)for flexible manufacturing systems(FMS)prone to deadlocks or livelocks.The proposed method takes an uncontrolled and bounded PN model(UPNM)of the FMS.Firstly,the reduced PNM(RPNM)is obtained from the UPNM by using PN reduction rules to reduce the computation burden.Then,the set of strict minimal siphons(SMSs)of the RPNM is computed.Next,the complementary set of SMSs is computed from the set of SMSs.By the union of these two sets,the superset of SMSs is computed.Finally,the set of subnets of the RPNM is obtained by applying the PN reduction rules to the superset of SMSs.All these subnets suffer from deadlocks.These subnets are then ordered from the smallest one to the largest one based on a criterion.To enforce liveness on these subnets,a set of control places(CPs)is computed starting from the smallest subnet to the largest one.Once all subnets are live,this process provides the LES,consisting of a set of CPs to be used for the UPNM.The live controlled PN model(CPNM)is constructed by merging the LES with the UPNM.The SbDaC policy is applicable to all classes of PNs related to FMS prone to deadlocks or livelocks.Several FMS examples are considered from the literature to highlight the applicability of the SbDaC policy.In particular,three examples are utilized to emphasize the importance,applicability and effectiveness of the SbDaC policy to realistic FMS with very large state spaces.展开更多
The present investigation inspects the unsteady,incompressible MHD-induced flow of a ternary hybrid nanofluid made of SiO_(2)(silicon dioxide),ZnO(zinc oxide),and MWCNT(multi-walled carbon nanotubes)suspended in a wat...The present investigation inspects the unsteady,incompressible MHD-induced flow of a ternary hybrid nanofluid made of SiO_(2)(silicon dioxide),ZnO(zinc oxide),and MWCNT(multi-walled carbon nanotubes)suspended in a water-ethylene glycol base fluid between two perforated squeezing Riga plates.This problem is important because it helps us understand the complicated connections between magnetic fields,nanofluid dynamics,and heat transport,all of which are critical for designing thermal management systems.These findings are especially useful for improving the design of innovative cooling technologies in electronics,energy systems,and healthcare applications.No prior study has been done on the theoretical study of the flow of ternary nanofluid(SiO_(2)+ZnO+MWCNT/Water−EthylGl ycol,(60∶40))past a pierced squeezed Riga plates using the boundary value problem solver 4th-order collocation(BVP4C)numerical approach to date.So,the current work has been carried out to fill this gap,and the core purpose of this study is to explore the aspects that enhance the heat transfer of base fluids(H_(2)O/EG)suspended with three nanomaterials SiO_(2),ZnO,and MWCNT.The Riga plates introduce electromagnetic forcing through an embedded array of magnets and electrodes,generating Lorentz forces to regulate the flow.The squeezing effect introduces dynamic boundary movement,which enhances mixing;however,permeability,due to porosity,replicates the true material limits.Similarity transformations of the Navier-Stokes and energy equations result in a highly nonlinear set of ordinary differential equations that govern momentum and thermal energy transport.The subsequent boundary value problem is solved utilizing the BVP4C numerical approach.The study observes the impact of magnetic parameters,squeezing velocity,solid volume percentages of the three nanoparticles,and porous medium factors on velocity and temperature fields.Results show that magnetic fields reduce the velocity profile by 6.75%due to increased squeezing and medium effects.Tri-hybrid nanofluids notice a 9%rise in temperature with higher thermal radiation.展开更多
Therapeutic experiments are commonly performed on laboratory animals to inves-tigate the possible mechanism(s)of action of toxic agents as well as drugs or sub-stances under consideration.The use of toxins in laborato...Therapeutic experiments are commonly performed on laboratory animals to inves-tigate the possible mechanism(s)of action of toxic agents as well as drugs or sub-stances under consideration.The use of toxins in laboratory animal models,including rats,is intended to cause toxicity.This study aimed to investigate different models of hepatotoxicity and nephrotoxicity in laboratory animals to help researchers advance their research goals.The current narrative review used databases such as Medline,Web of Science,Scopus,and Embase and appropriate keywords until June 2021.Nephrotoxicity and hepatotoxicity models derived from some toxic agents such as cisplatin,acetaminophen,doxorubicin,some anticancer drugs,and other materials through various signaling pathways are investigated.To understand the models of renal or hepatotoxicity in laboratory animals,we have provided a list of toxic agents and their toxicity procedures in this review.展开更多
Longan originates from southern China and has high nutritional and health value.Recent phytochemistry and pharmacology studies have shown that polysaccharides are a main bioactive component of longan.Longan polysaccha...Longan originates from southern China and has high nutritional and health value.Recent phytochemistry and pharmacology studies have shown that polysaccharides are a main bioactive component of longan.Longan polysaccharides possess antioxidant,anti-aging,anti-tumor,immunomodulatory,and other bioactivities.Hot-water extraction,ethanol precipitation,and ultrasonic extraction are generally used to extract water-soluble longan polysaccharides.However,the relationship between the structure and bioactivity of longan polysaccharides remains unclear,requiring further investigation.The aim of this review is to evaluate the current literature focusing on the extraction,purification,structural characterization,and biological activity of longan polysaccharides.We believe that this review would provide a useful bibliography for further innovation and a basis for using longan polysaccharides in functional food.展开更多
Cloud computing is a dynamic and rapidly evolving field,where the demand for resources fluctuates continuously.This paper delves into the imperative need for adaptability in the allocation of resources to applications...Cloud computing is a dynamic and rapidly evolving field,where the demand for resources fluctuates continuously.This paper delves into the imperative need for adaptability in the allocation of resources to applications and services within cloud computing environments.The motivation stems from the pressing issue of accommodating fluctuating levels of user demand efficiently.By adhering to the proposed resource allocation method,we aim to achieve a substantial reduction in energy consumption.This reduction hinges on the precise and efficient allocation of resources to the tasks that require those most,aligning with the broader goal of sustainable and eco-friendly cloud computing systems.To enhance the resource allocation process,we introduce a novel knowledge-based optimization algorithm.In this study,we rigorously evaluate its efficacy by comparing it to existing algorithms,including the Flower Pollination Algorithm(FPA),Spark Lion Whale Optimization(SLWO),and Firefly Algo-rithm.Our findings reveal that our proposed algorithm,Knowledge Based Flower Pollination Algorithm(KB-FPA),consistently outperforms these conventional methods in both resource allocation efficiency and energy consumption reduction.This paper underscores the profound significance of resource allocation in the realm of cloud computing.By addressing the critical issue of adaptability and energy efficiency,it lays the groundwork for a more sustainable future in cloud computing systems.Our contribution to the field lies in the introduction of a new resource allocation strategy,offering the potential for significantly improved efficiency and sustainability within cloud computing infrastructures.展开更多
As cloud computing usage grows,cloud data centers play an increasingly important role.To maximize resource utilization,ensure service quality,and enhance system performance,it is crucial to allocate tasks and manage p...As cloud computing usage grows,cloud data centers play an increasingly important role.To maximize resource utilization,ensure service quality,and enhance system performance,it is crucial to allocate tasks and manage performance effectively.The purpose of this study is to provide an extensive analysis of task allocation and performance management techniques employed in cloud data centers.The aim is to systematically categorize and organize previous research by identifying the cloud computing methodologies,categories,and gaps.A literature review was conducted,which included the analysis of 463 task allocations and 480 performance management papers.The review revealed three task allocation research topics and seven performance management methods.Task allocation research areas are resource allocation,load-Balancing,and scheduling.Performance management includes monitoring and control,power and energy management,resource utilization optimization,quality of service management,fault management,virtual machine management,and network management.The study proposes new techniques to enhance cloud computing work allocation and performance management.Short-comings in each approach can guide future research.The research’s findings on cloud data center task allocation and performance management can assist academics,practitioners,and cloud service providers in optimizing their systems for dependability,cost-effectiveness,and scalability.Innovative methodologies can steer future research to fill gaps in the literature.展开更多
Cancer stem cells(CSCs)are a major challenge in cancer therapy.Stem cell-like cells form a unique subpopulation within many tumors,which govern the degree of malignancy by promoting metastasis,recurrence,heterogeneity...Cancer stem cells(CSCs)are a major challenge in cancer therapy.Stem cell-like cells form a unique subpopulation within many tumors,which govern the degree of malignancy by promoting metastasis,recurrence,heterogeneity,and resistance to drug and radiation.Furthermore,these cells can persist in patients even after undergoing multiple cycles of conventional cancer therapy via dormancy,where they no longer dividing but remain active.These may cause cancer recurrence at any time,even years after a supposed cure,and remain invisible to the immune system.Targeting specific surface markers,signaling pathways and tumor microenvironment,which all have a significant effect on CSC function and maintenance,could help to eradicate CSCs and improve patient survival.Combinations of traditional therapies with nano-based drug delivery systems can efficiently target CSCs.Considering the biology and properties of CSCs,we classify recent approaches involving nanoparticle engineering,extracellular matrix modulation,cocktail strategies,multi-stage therapy,CSC defanging,Trojan horse systems,targeted therapy and organelle targeting.We highlight the most recent advances in nanocarrier design and drug delivery technologies to target CSCs,combined with conventional treatment in preclinical and clinical trials.The prospects of these approaches for CSCs elimination and recurrent cancer treatment are discussed.展开更多
Carbon capture and storage(CCS)is an advanced environmental technology for mitigating CO_(2) emissions and addressing climate change.Among the various approaches,adsorption has emerged as a promising method for CO_(2)...Carbon capture and storage(CCS)is an advanced environmental technology for mitigating CO_(2) emissions and addressing climate change.Among the various approaches,adsorption has emerged as a promising method for CO_(2) capture due to its effiectiveness and practicality.This review explores the potential of clay minerals as adsorbents for CO_(2) capture,providing an in-depth analysis of their inherent properties and the mechanisms involved in adsorption process.The review begins with an introduction to CCS and the concept of adsorption,followed by a detailed examination of various clay minerals,including sepiolite,montmorillonite,bentonite,kaolinite,saponite,halloysite,and illite.Each mineral’s suitability for CO_(2) adsorption is assessed,highlighting the specific properties that contribute to their performance.The mechanisms of CO_(2) adsorption including physisorption,chemisorption,ion exchange,pore diffusion,intraparticle diffusion,surface complexation,and competitive adsorption are thoroughly discussed.The review also covers the modification of clay minerals through physical and chemical treatments,amine functionalization,and composite formation to enhance their CO_(2) adsorption capacity.Additionally,regeneration methods such as temperature-swing adsorption(TSA),pressure-swing adsorption(PSA),and purging are discussed,along with CO_(2) recovery and storage techniques for improving energy efficiency.The review concludes with an overview of characterization methods for clay-based adsorbents and potential applications,while addressing the challenges and future trends in thefield.This work emphasizes the promising role of clay-based adsorbents in advancing CCS technology.展开更多
Greenhouse gas(GHG)emssions from fossil fuel consumption are driving global climate change.This study applied the fully modified ordinary least squares(FMOLS)model and pairwise panel Granger causality test to explore ...Greenhouse gas(GHG)emssions from fossil fuel consumption are driving global climate change.This study applied the fully modified ordinary least squares(FMOLS)model and pairwise panel Granger causality test to explore the relationships of GHG emissions with gross domestic product(GDP),population,urbanization,natural resource rents,foreign direct investment(FDI),and renewable energy consumption in 12 Middle East and North Africa(MENA)countries(Algeria,Bahrain,Comoros,Djibouti,Egypt,Qatar,Somalia,Saudi Arabia,Syria,the United Arab Emirates,Tunisia,and Yemen)from 1990 to 2023.Due to the limited data on renewable energy after 2020,the coverage of renewable energy consumption is from 1990 to 2021.Findings showed that Saudi Arabia,Egypt,Algeria,the United Arab Emirates,and Qatar are the top 5 GHG emitters in the MENA region,with the GHG emissions of the energy sector rising fastest among all sectors.Results also indicated that a 1.00%increase in GDP,population,urbanization,natural resource rents,and FDI raises GHG emissions by 0.48%,0.61%,0.86%,0.29%,and 0.11%,respectively.Conversely,a 1.00%increase in renewable energy consumption reduces GHG emissions by 0.13%.Effective policies promoting renewable energy investment and the adoption of renewable energy could significantly reduce electricity costs and GHG emissions,contributing to achieving climate goals,such as net-zero emissions and environmental sustainability.Additionally,the increase of renewable energy consumption and technology development would improve energy efficiency,create jobs,and stimulate economic growth in the MENA region.This study recommends tailored policy instruments to support the transition to low-emission technologies and strategies.展开更多
In recent years,hepatology has undergone a transformative evolution driven by significant advancements in diagnostic and therapeutic technologies.The expanding integration of endoscopic modalities into hepatology has ...In recent years,hepatology has undergone a transformative evolution driven by significant advancements in diagnostic and therapeutic technologies.The expanding integration of endoscopic modalities into hepatology has enforced the diagnosis,staging,management of liver diseases beside integration into transplantation.This review highlights the evolving discipline of“endo-hepatology”,where endoscopic ultrasound,endoscopic retrograde cholangiopancreatography,and novel interventional tools are employed to address the critical challenges in chronic liver disease.The review provides a comprehensive synthesis of current evidence and different clinical applications,while also exploring future directions including revolution of artificial intelligence-assisted endoscopies and enhanced imaging endoscopies.By bridging the anatomical and functional interface between the gastrointestinal lumen and the liver,endo-hepatology is not only improving diagnostic accuracy and therapeutic precision but also reshaping multidisciplinary paradigms in hepatology practice.展开更多
In this paper,we use the Riemann-Hilbert(RH)method to investigate the Cauchy problem of the reverse space-time nonlocal Hirota equation with step-like initial data:q(z,0)=o(1)as z→-∞and q(z,0)=δ+o(1)as z→∞,where...In this paper,we use the Riemann-Hilbert(RH)method to investigate the Cauchy problem of the reverse space-time nonlocal Hirota equation with step-like initial data:q(z,0)=o(1)as z→-∞and q(z,0)=δ+o(1)as z→∞,whereδis an arbitrary positive constant.We show that the solution of the Cauchy problem can be determined by the solution of the corresponding matrix RH problem established on the plane of complex spectral parameterλ.As an example,we construct an exact solution of the reverse space-time nonlocal Hirota equation in a special case via this RH problem.展开更多
Waste management strategies employed by emerging economies worldwide are often insufficient to address the new-age sustainability challenges.Especially in chemicalintensive manufacturing industries,increasing levels o...Waste management strategies employed by emerging economies worldwide are often insufficient to address the new-age sustainability challenges.Especially in chemicalintensive manufacturing industries,increasing levels of waste production are a significant environmental threat.Adopting a circular supply chain(CSC)can be a viable solution to this problem since it incorporates the components of the circular economy into an organization's supply chain,bringing an engaging viewpoint to the supply chain sustainability field.Nevertheless,the adoption of CSC in chemical-intensive manufacturing industries faces various intricate challenges in emerging economies.This study,therefore,aims to explore and evaluate the challenges associated with adopting CSC in the chemical-intensive manufacturing industries,using the empirical case of an emerging economy,Bangladesh.After a thorough literature review and expert validation,26 challenges were analyzed using a probabilistic group decision-making approach,i.e.,the Bayesian best-worst method(BWM).The result showed that the most significant challenge is the chemical composition-related complexity(global weight=0.0801),followed by strong emphasis on the take-make-dispose policy(0.0705),and insufficient investment and financial resources(0.0697).On the contrary,the least important challenge is the resistance toward the transition from conventional supply chain to CSC(0.0078).The outcomes of this study are expected to enrich existing knowledge and comprehension of the challenges linked to implementing CSC practices in Bangladesh and contribute to achieving Sustainable Development Goals(SDGs),such as SDG 3(good health and wellbeing),SDG 11(sustainable cities and communities),SDG 12(responsible consumption and production),SDG 13(climate action),and so on.展开更多
Heat treatments play a crucial role in enhancing the mechanical properties of AZ91 Mg alloy by dissolving coarse phases during solution treatment and promoting precipitation during aging.However,non-uniform microstruc...Heat treatments play a crucial role in enhancing the mechanical properties of AZ91 Mg alloy by dissolving coarse phases during solution treatment and promoting precipitation during aging.However,non-uniform microstructures and coarse secondary phases in conventional casting methods hinder the effectiveness of these treatments,leading to reduced ductility,inconsistent properties,and prolonged durations.To overcome these challenges,this study introduces the Strain Integrated Gas-Infusion(SIGI)casting process that integrates strain and gas infusion in the semi-solid state.The impact of the SIGI process on the solution treatment and aging kinetics of AZ91 Mg alloy is explored.The SIGI process refinesα-Mg andβ-Mg_(17)Al_(12)phases,significantly enhancing mechanical properties.Experimental and quantitative analyses reveal that the SIGI process accelerates solute atom dissolution,reducing solution treatment times by half,and promotes faster nucleation and growth of precipitates during aging,shortening aging times by one-third.These improvements result in substantial gains in ultimate tensile strength(~40-50%)and ductility(~20-30%)after age hardening compared to conventional casting.The mechanisms driving these changes,including enhanced nucleation rates,reduced diffusion distances,and microstructural refinement,are discussed.These findings demonstrate the potential of the SIGI casting process to advance magnesium alloy performance for engineering applications.展开更多
During cold rolling in magnesium(Mg)alloys,there will always be serious ductility deterioration,which greatly restricts the application of this processing method.In this work,ductility-strength synergy occurred after ...During cold rolling in magnesium(Mg)alloys,there will always be serious ductility deterioration,which greatly restricts the application of this processing method.In this work,ductility-strength synergy occurred after cold rolling was carried out on a<0001>fiber textured Mg-17.5Gd-Zr alloy(wt.%).The ductility-strength synergy can be mainly attributed to texture randomization,microstructure refinement,and easier basal slip transfer condition in the twinned grains.Firstly,the activation of multiple twinning behaviors,i.e.,{10-12},{10-11},and{11-21}twinning,and related twin-twin interaction restrict the formation of strong basal texture and facilitate the texture randomization.Secondly,profuse high-angle grain boundaries form through dislocation-twin interaction,twin-twin interaction,and dislocation interaction,which promote microstructure refinement.Thirdly,the basal slip transfer becomes easier in the twinned grains owing to the activation of multiple twinning behaviors and their impingements.Activation of{11-21}twinning and<c+a>dislocations and the<0001>fiber texture which is favorable for multiple twinning activating during cold rolling are considered to be the key roles for microstructure and texture optimization.展开更多
Two new free-living marine nematode species belonging to the genus Tricoma Cobb,1894(Desmoscolecidae)are identi-fied from the continental shelf region of the Bay of Bengal.Tricoma ajmalia sp.nov.is characterized by th...Two new free-living marine nematode species belonging to the genus Tricoma Cobb,1894(Desmoscolecidae)are identi-fied from the continental shelf region of the Bay of Bengal.Tricoma ajmalia sp.nov.is characterized by the number of main rings(84 male and 85 female),the arrangement of somatic setae,the head shape with broadly truncated end,the relatively long cephalic setae(69%-73%of corresponding head diameter),the amphids extending up to second main ring,slender spicules slightly curved and gu-berbaculum with dorsocaudally directed apophyses.The second new species,Tricoma sampadansis sp.nov.is characterized by the number of rings(64),the arrangement of somatic setae(14-13 subdorsal,16 subvenral),the head shape with broadly truncated end,the relatively long cephalic setae(75%corresponding head diameter),the amphidial fovea extending over first main ring,anterioirly bent spicules and gubernaculum with hooked proximal end.An updated valid species list of Tricoma is also presented.展开更多
Twins play an important role in the texture transition during annealing.In a cold rolled high rare earth content magnesium(Mg)alloys with{10–12}extension twins,{11–21}extension twins,{10–11}compression twins and{10...Twins play an important role in the texture transition during annealing.In a cold rolled high rare earth content magnesium(Mg)alloys with{10–12}extension twins,{11–21}extension twins,{10–11}compression twins and{10–11}-{10–12}double twins and frequent twin-twin interactions,quasi-in-situ electron backscatter diffraction method was used to observe the twin induced static recrystallization(SRX)and related effect on texture during annealing.The results show that basal component was consumed owing to the SRX occurred in basal oriented{10–12}twins and SRXed grains with several specific orientations show preferential grain growth.SRX widely operated in the{10–12}extension and{11–21}extension twins,but absent in most{10–11}compression and{10–11}-{10–12}double twins,which is different to traditional twin induced SRX.Most compression/double twins detwinned while only partial tension twins detwinned.Operation of{11–21}twins and resultant twin-twin interaction facilitate the formation of serrated twin boundaries,which can serve as nucleation sites.Activation of<c+a>dislocation and related dislocation interaction in high dislocation density areas promote the formation of new grain boundaries and related SRX.Profuse<c+a>dislocations in basal oriented twins release the strain accumulation in compression/double twins and thus result in the absence of SRX.The twin size difference,storage energy and dislocation-twin interaction commonly functioned to the detwinning during annealing.The near-coincide site lattice boundaries that show high mobility were considered to be the important contributor to the preferential grain growth of SRXed grains.展开更多
We propose a method of full-color,scan-free,and natural-light motion-picture holography for full-color 4D(3D+time)imaging and develop a portable natural-light motion-picture holographic camera that can be set on a mov...We propose a method of full-color,scan-free,and natural-light motion-picture holography for full-color 4D(3D+time)imaging and develop a portable natural-light motion-picture holographic camera that can be set on a movable table without any antivibration structure.Full-color motion-picture holograms of objects illuminated by natural light are obtained at the frame rate of an image sensor.We perform the single-shot natural-light full-color 3D imaging of objects illuminated by sunlight and the full-color 4D imaging of a moving object.This holographic camera is capable of full-color 4D imaging of objects ranging in size from the centimeter order to the 10-m order.This opens up a new stage in holographic imaging,overcoming the limitations of conventional holographic imaging despite the portability of this camera.展开更多
This paper analyzes the nonlinear dynamic characteristics and stability of Aero-Engine Dual-Rotor(AEDR)systems under high-frequency excitation,based on the Adaptive Harmonic Balance with the Asymptotic Harmonic Select...This paper analyzes the nonlinear dynamic characteristics and stability of Aero-Engine Dual-Rotor(AEDR)systems under high-frequency excitation,based on the Adaptive Harmonic Balance with the Asymptotic Harmonic Selection(AHB-AHS)method.A finite element dynamic equation for the AEDR system is introduced,considering complex nonlinearities of the intershaft bearing,unbalanced excitations,and high-frequency excitation.A solving strategy combining the AHB-AHS method and improved arclength continuation method is proposed to solve highdimensional dynamic equations containing complex nonlinearities and to track periodic solutions with parameter variations.The Floquet theory is used to analyze the types of bifurcation points in the system and the stability of periodic motions.The results indicate that high-frequency excitation can couple high-order and low-order modes,especially when the system undergoes superharmonic resonance.High-frequency excitation leads to more combination frequency harmonics,among which N_(f)ω_(1)-2ω_(2)dominates.Furthermore,changing the parameters(amplitude and frequency)of high-frequency excitation widens or shifts the unstable regions of the system.These findings contribute to understanding the mechanism of high-frequency excitation on aero-engines and demonstrate that the proposed AHB-AHS method is a powerful tool for analyzing highdimensional complex nonlinear dynamic systems under multi-frequency excitation.展开更多
To achieve carbon dioxide(CO_(2))storage through enhanced oil recovery,accurate forecasting of CO_(2) subsurface storage and cumulative oil production is essential.This study develops hybrid predictive models for the ...To achieve carbon dioxide(CO_(2))storage through enhanced oil recovery,accurate forecasting of CO_(2) subsurface storage and cumulative oil production is essential.This study develops hybrid predictive models for the determination of CO_(2) storage mass and cumulative oil production in unconventional reservoirs.It does so with two multi-layer perceptron neural networks(MLPNN)and a least-squares support vector machine(LSSVM),hybridized with grey wolf optimization(GWO)and/or particle swarm optimization(PSO).Large,simulated datasets were divided into training(70%)and testing(30%)groups,with normalization applied to both groups.Mahalanobis distance identifies/eliminates outliers in the training subset only.A non-dominated sorting genetic algorithm(NSGA-II)combined with LSSVM selected seven influential features from the nine available input parameters:reservoir depth,porosity,permeability,thickness,bottom-hole pressure,area,CO_(2) injection rate,residual oil saturation to gas flooding,and residual oil saturation to water flooding.Predictive models were developed and tested,with performance evaluated with an overfitting index(OFI),scoring analysis,and partial dependence plots(PDP),during training and independent testing to enhance model focus and effectiveness.The LSSVM-GWO model generated the lowest root mean square error(RMSE)values(0.4052 MMT for CO_(2) storage and 9.7392 MMbbl for cumulative oil production)in the training group.That trained model also exhibited excellent generalization and minimal overfitting when applied to the testing group(RMSE of 0.6224 MMT for CO_(2) storage and 12.5143 MMbbl for cumulative oil production).PDP analysis revealed that the input features“area”and“porosity”had the most influence on the LSSVM-GWO model's pre-diction performance.This paper presents a new hybrid modeling approach that achieves accurate forecasting of CO_(2) subsurface storage and cumulative oil production.It also establishes a new standard for such forecasting,which can lead to the development of more effective and sustainable solutions for oil recovery.展开更多
文摘Accurate prediction of concrete compressive strength is fundamental for optimizing mix designs,improving material utilization,and ensuring structural safety in modern construction.Traditional empirical methods often fail to capture the non-linear relationships among concrete constituents,especially with the growing use of supple-mentary cementitious materials and recycled aggregates.This study presents an integrated machine learning framework for concrete strength prediction,combining advanced regression models—namely CatBoost—with metaheuristic optimization algorithms,with a particular focus on the Somersaulting Spider Optimizer(SSO).A comprehensive dataset encompassing diverse mix proportions and material types was used to evaluate baseline machine learning models,including CatBoost,XGBoost,ExtraTrees,and RandomForest.Among these,CatBoost demonstrated superior accuracy across multiple performance metrics.To further enhance predictive capability,several bio-inspired optimizers were employed for hyperparameter tuning.The SSO-CatBoost hybrid achieved the lowest mean squared error and highest correlation coefficients,outperforming other metaheuristic approaches such as Genetic Algorithm,Particle Swarm Optimization,and Grey Wolf Optimizer.Statistical significance was established through Analysis of Variance and Wilcoxon signed-rank testing,confirming the robustness of the optimized models.The proposed methodology not only delivers improved predictive performance but also offers a transparent framework for mix design optimization,supporting data-driven decision making in sustainable and resilient infrastructure development.
基金The authors extend their appreciation to King Saud University,Saudi Arabia for funding this work through the Ongoing Research Funding Program(ORF-2025-704),King Saud University,Riyadh,Saudi Arabia.
文摘A novel siphon-based divide-and-conquer(SbDaC)policy is presented in this paper for the synthesis of Petri net(PN)based liveness-enforcing supervisors(LES)for flexible manufacturing systems(FMS)prone to deadlocks or livelocks.The proposed method takes an uncontrolled and bounded PN model(UPNM)of the FMS.Firstly,the reduced PNM(RPNM)is obtained from the UPNM by using PN reduction rules to reduce the computation burden.Then,the set of strict minimal siphons(SMSs)of the RPNM is computed.Next,the complementary set of SMSs is computed from the set of SMSs.By the union of these two sets,the superset of SMSs is computed.Finally,the set of subnets of the RPNM is obtained by applying the PN reduction rules to the superset of SMSs.All these subnets suffer from deadlocks.These subnets are then ordered from the smallest one to the largest one based on a criterion.To enforce liveness on these subnets,a set of control places(CPs)is computed starting from the smallest subnet to the largest one.Once all subnets are live,this process provides the LES,consisting of a set of CPs to be used for the UPNM.The live controlled PN model(CPNM)is constructed by merging the LES with the UPNM.The SbDaC policy is applicable to all classes of PNs related to FMS prone to deadlocks or livelocks.Several FMS examples are considered from the literature to highlight the applicability of the SbDaC policy.In particular,three examples are utilized to emphasize the importance,applicability and effectiveness of the SbDaC policy to realistic FMS with very large state spaces.
基金funded by King Saud University,Riyadh,Saudi Arabia,through the Ongo-ing Research Funding program—Research Chairs(ORF-RC-2025-0127)funded via Princess Nourah bint Abdulrahman University Researchers Supporting Project number(PNURSP2025R443).
文摘The present investigation inspects the unsteady,incompressible MHD-induced flow of a ternary hybrid nanofluid made of SiO_(2)(silicon dioxide),ZnO(zinc oxide),and MWCNT(multi-walled carbon nanotubes)suspended in a water-ethylene glycol base fluid between two perforated squeezing Riga plates.This problem is important because it helps us understand the complicated connections between magnetic fields,nanofluid dynamics,and heat transport,all of which are critical for designing thermal management systems.These findings are especially useful for improving the design of innovative cooling technologies in electronics,energy systems,and healthcare applications.No prior study has been done on the theoretical study of the flow of ternary nanofluid(SiO_(2)+ZnO+MWCNT/Water−EthylGl ycol,(60∶40))past a pierced squeezed Riga plates using the boundary value problem solver 4th-order collocation(BVP4C)numerical approach to date.So,the current work has been carried out to fill this gap,and the core purpose of this study is to explore the aspects that enhance the heat transfer of base fluids(H_(2)O/EG)suspended with three nanomaterials SiO_(2),ZnO,and MWCNT.The Riga plates introduce electromagnetic forcing through an embedded array of magnets and electrodes,generating Lorentz forces to regulate the flow.The squeezing effect introduces dynamic boundary movement,which enhances mixing;however,permeability,due to porosity,replicates the true material limits.Similarity transformations of the Navier-Stokes and energy equations result in a highly nonlinear set of ordinary differential equations that govern momentum and thermal energy transport.The subsequent boundary value problem is solved utilizing the BVP4C numerical approach.The study observes the impact of magnetic parameters,squeezing velocity,solid volume percentages of the three nanoparticles,and porous medium factors on velocity and temperature fields.Results show that magnetic fields reduce the velocity profile by 6.75%due to increased squeezing and medium effects.Tri-hybrid nanofluids notice a 9%rise in temperature with higher thermal radiation.
文摘Therapeutic experiments are commonly performed on laboratory animals to inves-tigate the possible mechanism(s)of action of toxic agents as well as drugs or sub-stances under consideration.The use of toxins in laboratory animal models,including rats,is intended to cause toxicity.This study aimed to investigate different models of hepatotoxicity and nephrotoxicity in laboratory animals to help researchers advance their research goals.The current narrative review used databases such as Medline,Web of Science,Scopus,and Embase and appropriate keywords until June 2021.Nephrotoxicity and hepatotoxicity models derived from some toxic agents such as cisplatin,acetaminophen,doxorubicin,some anticancer drugs,and other materials through various signaling pathways are investigated.To understand the models of renal or hepatotoxicity in laboratory animals,we have provided a list of toxic agents and their toxicity procedures in this review.
基金the National Natural Science Foundation of China(32201969,82204668)Natural Science Foundation of Henan Province(212300410297)+3 种基金Hebei Natural Science Foundation(H2022423376)Basic Research Plan of Higher Education School Key Scientific Research Project of Henan Province(21A550014)Doctoral Research Foundation of Zhengzhou University of Light Industry(2020BSJJ015)Science and Technology Research Project of Higher Education in Hebei Province(QN2020233).
文摘Longan originates from southern China and has high nutritional and health value.Recent phytochemistry and pharmacology studies have shown that polysaccharides are a main bioactive component of longan.Longan polysaccharides possess antioxidant,anti-aging,anti-tumor,immunomodulatory,and other bioactivities.Hot-water extraction,ethanol precipitation,and ultrasonic extraction are generally used to extract water-soluble longan polysaccharides.However,the relationship between the structure and bioactivity of longan polysaccharides remains unclear,requiring further investigation.The aim of this review is to evaluate the current literature focusing on the extraction,purification,structural characterization,and biological activity of longan polysaccharides.We believe that this review would provide a useful bibliography for further innovation and a basis for using longan polysaccharides in functional food.
基金supported by the Ministerio Espanol de Ciencia e Innovación under Project Number PID2020-115570GB-C22 MCIN/AEI/10.13039/501100011033 and by the Cátedra de Empresa Tecnología para las Personas(UGR-Fujitsu).
文摘Cloud computing is a dynamic and rapidly evolving field,where the demand for resources fluctuates continuously.This paper delves into the imperative need for adaptability in the allocation of resources to applications and services within cloud computing environments.The motivation stems from the pressing issue of accommodating fluctuating levels of user demand efficiently.By adhering to the proposed resource allocation method,we aim to achieve a substantial reduction in energy consumption.This reduction hinges on the precise and efficient allocation of resources to the tasks that require those most,aligning with the broader goal of sustainable and eco-friendly cloud computing systems.To enhance the resource allocation process,we introduce a novel knowledge-based optimization algorithm.In this study,we rigorously evaluate its efficacy by comparing it to existing algorithms,including the Flower Pollination Algorithm(FPA),Spark Lion Whale Optimization(SLWO),and Firefly Algo-rithm.Our findings reveal that our proposed algorithm,Knowledge Based Flower Pollination Algorithm(KB-FPA),consistently outperforms these conventional methods in both resource allocation efficiency and energy consumption reduction.This paper underscores the profound significance of resource allocation in the realm of cloud computing.By addressing the critical issue of adaptability and energy efficiency,it lays the groundwork for a more sustainable future in cloud computing systems.Our contribution to the field lies in the introduction of a new resource allocation strategy,offering the potential for significantly improved efficiency and sustainability within cloud computing infrastructures.
基金supported by the Ministerio Espanol de Ciencia e Innovación under Project Number PID2020-115570GB-C22,MCIN/AEI/10.13039/501100011033by the Cátedra de Empresa Tecnología para las Personas(UGR-Fujitsu).
文摘As cloud computing usage grows,cloud data centers play an increasingly important role.To maximize resource utilization,ensure service quality,and enhance system performance,it is crucial to allocate tasks and manage performance effectively.The purpose of this study is to provide an extensive analysis of task allocation and performance management techniques employed in cloud data centers.The aim is to systematically categorize and organize previous research by identifying the cloud computing methodologies,categories,and gaps.A literature review was conducted,which included the analysis of 463 task allocations and 480 performance management papers.The review revealed three task allocation research topics and seven performance management methods.Task allocation research areas are resource allocation,load-Balancing,and scheduling.Performance management includes monitoring and control,power and energy management,resource utilization optimization,quality of service management,fault management,virtual machine management,and network management.The study proposes new techniques to enhance cloud computing work allocation and performance management.Short-comings in each approach can guide future research.The research’s findings on cloud data center task allocation and performance management can assist academics,practitioners,and cloud service providers in optimizing their systems for dependability,cost-effectiveness,and scalability.Innovative methodologies can steer future research to fill gaps in the literature.
基金supported by Tabriz University of Medical Sciences,grant number 65364.
文摘Cancer stem cells(CSCs)are a major challenge in cancer therapy.Stem cell-like cells form a unique subpopulation within many tumors,which govern the degree of malignancy by promoting metastasis,recurrence,heterogeneity,and resistance to drug and radiation.Furthermore,these cells can persist in patients even after undergoing multiple cycles of conventional cancer therapy via dormancy,where they no longer dividing but remain active.These may cause cancer recurrence at any time,even years after a supposed cure,and remain invisible to the immune system.Targeting specific surface markers,signaling pathways and tumor microenvironment,which all have a significant effect on CSC function and maintenance,could help to eradicate CSCs and improve patient survival.Combinations of traditional therapies with nano-based drug delivery systems can efficiently target CSCs.Considering the biology and properties of CSCs,we classify recent approaches involving nanoparticle engineering,extracellular matrix modulation,cocktail strategies,multi-stage therapy,CSC defanging,Trojan horse systems,targeted therapy and organelle targeting.We highlight the most recent advances in nanocarrier design and drug delivery technologies to target CSCs,combined with conventional treatment in preclinical and clinical trials.The prospects of these approaches for CSCs elimination and recurrent cancer treatment are discussed.
文摘Carbon capture and storage(CCS)is an advanced environmental technology for mitigating CO_(2) emissions and addressing climate change.Among the various approaches,adsorption has emerged as a promising method for CO_(2) capture due to its effiectiveness and practicality.This review explores the potential of clay minerals as adsorbents for CO_(2) capture,providing an in-depth analysis of their inherent properties and the mechanisms involved in adsorption process.The review begins with an introduction to CCS and the concept of adsorption,followed by a detailed examination of various clay minerals,including sepiolite,montmorillonite,bentonite,kaolinite,saponite,halloysite,and illite.Each mineral’s suitability for CO_(2) adsorption is assessed,highlighting the specific properties that contribute to their performance.The mechanisms of CO_(2) adsorption including physisorption,chemisorption,ion exchange,pore diffusion,intraparticle diffusion,surface complexation,and competitive adsorption are thoroughly discussed.The review also covers the modification of clay minerals through physical and chemical treatments,amine functionalization,and composite formation to enhance their CO_(2) adsorption capacity.Additionally,regeneration methods such as temperature-swing adsorption(TSA),pressure-swing adsorption(PSA),and purging are discussed,along with CO_(2) recovery and storage techniques for improving energy efficiency.The review concludes with an overview of characterization methods for clay-based adsorbents and potential applications,while addressing the challenges and future trends in thefield.This work emphasizes the promising role of clay-based adsorbents in advancing CCS technology.
基金the support provided by the King Fahd University of Petroleum & Minerals (KFUPM) for facilitating this research
文摘Greenhouse gas(GHG)emssions from fossil fuel consumption are driving global climate change.This study applied the fully modified ordinary least squares(FMOLS)model and pairwise panel Granger causality test to explore the relationships of GHG emissions with gross domestic product(GDP),population,urbanization,natural resource rents,foreign direct investment(FDI),and renewable energy consumption in 12 Middle East and North Africa(MENA)countries(Algeria,Bahrain,Comoros,Djibouti,Egypt,Qatar,Somalia,Saudi Arabia,Syria,the United Arab Emirates,Tunisia,and Yemen)from 1990 to 2023.Due to the limited data on renewable energy after 2020,the coverage of renewable energy consumption is from 1990 to 2021.Findings showed that Saudi Arabia,Egypt,Algeria,the United Arab Emirates,and Qatar are the top 5 GHG emitters in the MENA region,with the GHG emissions of the energy sector rising fastest among all sectors.Results also indicated that a 1.00%increase in GDP,population,urbanization,natural resource rents,and FDI raises GHG emissions by 0.48%,0.61%,0.86%,0.29%,and 0.11%,respectively.Conversely,a 1.00%increase in renewable energy consumption reduces GHG emissions by 0.13%.Effective policies promoting renewable energy investment and the adoption of renewable energy could significantly reduce electricity costs and GHG emissions,contributing to achieving climate goals,such as net-zero emissions and environmental sustainability.Additionally,the increase of renewable energy consumption and technology development would improve energy efficiency,create jobs,and stimulate economic growth in the MENA region.This study recommends tailored policy instruments to support the transition to low-emission technologies and strategies.
文摘In recent years,hepatology has undergone a transformative evolution driven by significant advancements in diagnostic and therapeutic technologies.The expanding integration of endoscopic modalities into hepatology has enforced the diagnosis,staging,management of liver diseases beside integration into transplantation.This review highlights the evolving discipline of“endo-hepatology”,where endoscopic ultrasound,endoscopic retrograde cholangiopancreatography,and novel interventional tools are employed to address the critical challenges in chronic liver disease.The review provides a comprehensive synthesis of current evidence and different clinical applications,while also exploring future directions including revolution of artificial intelligence-assisted endoscopies and enhanced imaging endoscopies.By bridging the anatomical and functional interface between the gastrointestinal lumen and the liver,endo-hepatology is not only improving diagnostic accuracy and therapeutic precision but also reshaping multidisciplinary paradigms in hepatology practice.
基金supported by the National Natural Science Foundation of China under Grant No.12147115the Discipline(Subject)Leader Cultivation Project of Universities in Anhui Province under Grant Nos.DTR2023052 and DTR2024046+2 种基金the Natural Science Research Project of Universities in Anhui Province under Grant No.2024AH040202the Young Top Notch Talents and Young Scholars of High End Talent Introduction and Cultivation Action Project in Anhui Provincethe Scientific Research Foundation Funded Project of Chuzhou University under Grant Nos.2022qd022 and 2022qd038。
文摘In this paper,we use the Riemann-Hilbert(RH)method to investigate the Cauchy problem of the reverse space-time nonlocal Hirota equation with step-like initial data:q(z,0)=o(1)as z→-∞and q(z,0)=δ+o(1)as z→∞,whereδis an arbitrary positive constant.We show that the solution of the Cauchy problem can be determined by the solution of the corresponding matrix RH problem established on the plane of complex spectral parameterλ.As an example,we construct an exact solution of the reverse space-time nonlocal Hirota equation in a special case via this RH problem.
文摘Waste management strategies employed by emerging economies worldwide are often insufficient to address the new-age sustainability challenges.Especially in chemicalintensive manufacturing industries,increasing levels of waste production are a significant environmental threat.Adopting a circular supply chain(CSC)can be a viable solution to this problem since it incorporates the components of the circular economy into an organization's supply chain,bringing an engaging viewpoint to the supply chain sustainability field.Nevertheless,the adoption of CSC in chemical-intensive manufacturing industries faces various intricate challenges in emerging economies.This study,therefore,aims to explore and evaluate the challenges associated with adopting CSC in the chemical-intensive manufacturing industries,using the empirical case of an emerging economy,Bangladesh.After a thorough literature review and expert validation,26 challenges were analyzed using a probabilistic group decision-making approach,i.e.,the Bayesian best-worst method(BWM).The result showed that the most significant challenge is the chemical composition-related complexity(global weight=0.0801),followed by strong emphasis on the take-make-dispose policy(0.0705),and insufficient investment and financial resources(0.0697).On the contrary,the least important challenge is the resistance toward the transition from conventional supply chain to CSC(0.0078).The outcomes of this study are expected to enrich existing knowledge and comprehension of the challenges linked to implementing CSC practices in Bangladesh and contribute to achieving Sustainable Development Goals(SDGs),such as SDG 3(good health and wellbeing),SDG 11(sustainable cities and communities),SDG 12(responsible consumption and production),SDG 13(climate action),and so on.
文摘Heat treatments play a crucial role in enhancing the mechanical properties of AZ91 Mg alloy by dissolving coarse phases during solution treatment and promoting precipitation during aging.However,non-uniform microstructures and coarse secondary phases in conventional casting methods hinder the effectiveness of these treatments,leading to reduced ductility,inconsistent properties,and prolonged durations.To overcome these challenges,this study introduces the Strain Integrated Gas-Infusion(SIGI)casting process that integrates strain and gas infusion in the semi-solid state.The impact of the SIGI process on the solution treatment and aging kinetics of AZ91 Mg alloy is explored.The SIGI process refinesα-Mg andβ-Mg_(17)Al_(12)phases,significantly enhancing mechanical properties.Experimental and quantitative analyses reveal that the SIGI process accelerates solute atom dissolution,reducing solution treatment times by half,and promotes faster nucleation and growth of precipitates during aging,shortening aging times by one-third.These improvements result in substantial gains in ultimate tensile strength(~40-50%)and ductility(~20-30%)after age hardening compared to conventional casting.The mechanisms driving these changes,including enhanced nucleation rates,reduced diffusion distances,and microstructural refinement,are discussed.These findings demonstrate the potential of the SIGI casting process to advance magnesium alloy performance for engineering applications.
基金supported by the National Natural Science Foundation of China(Nos.52301164,52371121 and 52271107)the Natural Science Foundation of Shandong Province(No.ZR2021ME241)the Basic Research Project of Education Department of Liaoning Province(No.JYTQN2023066).
文摘During cold rolling in magnesium(Mg)alloys,there will always be serious ductility deterioration,which greatly restricts the application of this processing method.In this work,ductility-strength synergy occurred after cold rolling was carried out on a<0001>fiber textured Mg-17.5Gd-Zr alloy(wt.%).The ductility-strength synergy can be mainly attributed to texture randomization,microstructure refinement,and easier basal slip transfer condition in the twinned grains.Firstly,the activation of multiple twinning behaviors,i.e.,{10-12},{10-11},and{11-21}twinning,and related twin-twin interaction restrict the formation of strong basal texture and facilitate the texture randomization.Secondly,profuse high-angle grain boundaries form through dislocation-twin interaction,twin-twin interaction,and dislocation interaction,which promote microstructure refinement.Thirdly,the basal slip transfer becomes easier in the twinned grains owing to the activation of multiple twinning behaviors and their impingements.Activation of{11-21}twinning and<c+a>dislocations and the<0001>fiber texture which is favorable for multiple twinning activating during cold rolling are considered to be the key roles for microstructure and texture optimization.
基金the Centre for Marine Living Resources and Ecology (CMLRE),Ministry of Earth Sciences (MoES), Kochi, Government of India, for the support of crew ‘FORV Sagar Sampada’Funding was provided by the Centre for Marine Living Resources and Ecology (CMLRE), Ministry of Earth Sciences (MoES), Kochi, Government of India
文摘Two new free-living marine nematode species belonging to the genus Tricoma Cobb,1894(Desmoscolecidae)are identi-fied from the continental shelf region of the Bay of Bengal.Tricoma ajmalia sp.nov.is characterized by the number of main rings(84 male and 85 female),the arrangement of somatic setae,the head shape with broadly truncated end,the relatively long cephalic setae(69%-73%of corresponding head diameter),the amphids extending up to second main ring,slender spicules slightly curved and gu-berbaculum with dorsocaudally directed apophyses.The second new species,Tricoma sampadansis sp.nov.is characterized by the number of rings(64),the arrangement of somatic setae(14-13 subdorsal,16 subvenral),the head shape with broadly truncated end,the relatively long cephalic setae(75%corresponding head diameter),the amphidial fovea extending over first main ring,anterioirly bent spicules and gubernaculum with hooked proximal end.An updated valid species list of Tricoma is also presented.
基金supported by the National Natural Science Foundation of China(Nos.52301164,52371121 and 52271107).
文摘Twins play an important role in the texture transition during annealing.In a cold rolled high rare earth content magnesium(Mg)alloys with{10–12}extension twins,{11–21}extension twins,{10–11}compression twins and{10–11}-{10–12}double twins and frequent twin-twin interactions,quasi-in-situ electron backscatter diffraction method was used to observe the twin induced static recrystallization(SRX)and related effect on texture during annealing.The results show that basal component was consumed owing to the SRX occurred in basal oriented{10–12}twins and SRXed grains with several specific orientations show preferential grain growth.SRX widely operated in the{10–12}extension and{11–21}extension twins,but absent in most{10–11}compression and{10–11}-{10–12}double twins,which is different to traditional twin induced SRX.Most compression/double twins detwinned while only partial tension twins detwinned.Operation of{11–21}twins and resultant twin-twin interaction facilitate the formation of serrated twin boundaries,which can serve as nucleation sites.Activation of<c+a>dislocation and related dislocation interaction in high dislocation density areas promote the formation of new grain boundaries and related SRX.Profuse<c+a>dislocations in basal oriented twins release the strain accumulation in compression/double twins and thus result in the absence of SRX.The twin size difference,storage energy and dislocation-twin interaction commonly functioned to the detwinning during annealing.The near-coincide site lattice boundaries that show high mobility were considered to be the important contributor to the preferential grain growth of SRXed grains.
基金supported by the Japan Society for the Promotion of Science(JSPS)(Grant Nos.JP23K26579 and JP23K17364)the Mitsubishi Foundation(Grant No.202111007)+3 种基金Precursory Research for Embryonic Science and Technology(PRESTO)(Grant No.JPMJPR16P8)the Cooperative Research Program of“Network Joint Research Centre for Materials and Devices”(Grant Nos.20234030 and 20240411)the JST CREST(Grant No.JPMJCR23A1)the JST FOREST(Grant No.JPMJFR206K).
文摘We propose a method of full-color,scan-free,and natural-light motion-picture holography for full-color 4D(3D+time)imaging and develop a portable natural-light motion-picture holographic camera that can be set on a movable table without any antivibration structure.Full-color motion-picture holograms of objects illuminated by natural light are obtained at the frame rate of an image sensor.We perform the single-shot natural-light full-color 3D imaging of objects illuminated by sunlight and the full-color 4D imaging of a moving object.This holographic camera is capable of full-color 4D imaging of objects ranging in size from the centimeter order to the 10-m order.This opens up a new stage in holographic imaging,overcoming the limitations of conventional holographic imaging despite the portability of this camera.
基金the financial support from the National Key R&D Program of China(No.2023YFE0125900)National Natural Science Foundation of China(Nos.12372008 and 12102234)+1 种基金Natural Science Foundation of Heilongjiang Province,China(No.YQ2022A008)Taif University,Saudi Arabia,for supporting this work through Project number(TU-DSPP-2024-73).
文摘This paper analyzes the nonlinear dynamic characteristics and stability of Aero-Engine Dual-Rotor(AEDR)systems under high-frequency excitation,based on the Adaptive Harmonic Balance with the Asymptotic Harmonic Selection(AHB-AHS)method.A finite element dynamic equation for the AEDR system is introduced,considering complex nonlinearities of the intershaft bearing,unbalanced excitations,and high-frequency excitation.A solving strategy combining the AHB-AHS method and improved arclength continuation method is proposed to solve highdimensional dynamic equations containing complex nonlinearities and to track periodic solutions with parameter variations.The Floquet theory is used to analyze the types of bifurcation points in the system and the stability of periodic motions.The results indicate that high-frequency excitation can couple high-order and low-order modes,especially when the system undergoes superharmonic resonance.High-frequency excitation leads to more combination frequency harmonics,among which N_(f)ω_(1)-2ω_(2)dominates.Furthermore,changing the parameters(amplitude and frequency)of high-frequency excitation widens or shifts the unstable regions of the system.These findings contribute to understanding the mechanism of high-frequency excitation on aero-engines and demonstrate that the proposed AHB-AHS method is a powerful tool for analyzing highdimensional complex nonlinear dynamic systems under multi-frequency excitation.
文摘To achieve carbon dioxide(CO_(2))storage through enhanced oil recovery,accurate forecasting of CO_(2) subsurface storage and cumulative oil production is essential.This study develops hybrid predictive models for the determination of CO_(2) storage mass and cumulative oil production in unconventional reservoirs.It does so with two multi-layer perceptron neural networks(MLPNN)and a least-squares support vector machine(LSSVM),hybridized with grey wolf optimization(GWO)and/or particle swarm optimization(PSO).Large,simulated datasets were divided into training(70%)and testing(30%)groups,with normalization applied to both groups.Mahalanobis distance identifies/eliminates outliers in the training subset only.A non-dominated sorting genetic algorithm(NSGA-II)combined with LSSVM selected seven influential features from the nine available input parameters:reservoir depth,porosity,permeability,thickness,bottom-hole pressure,area,CO_(2) injection rate,residual oil saturation to gas flooding,and residual oil saturation to water flooding.Predictive models were developed and tested,with performance evaluated with an overfitting index(OFI),scoring analysis,and partial dependence plots(PDP),during training and independent testing to enhance model focus and effectiveness.The LSSVM-GWO model generated the lowest root mean square error(RMSE)values(0.4052 MMT for CO_(2) storage and 9.7392 MMbbl for cumulative oil production)in the training group.That trained model also exhibited excellent generalization and minimal overfitting when applied to the testing group(RMSE of 0.6224 MMT for CO_(2) storage and 12.5143 MMbbl for cumulative oil production).PDP analysis revealed that the input features“area”and“porosity”had the most influence on the LSSVM-GWO model's pre-diction performance.This paper presents a new hybrid modeling approach that achieves accurate forecasting of CO_(2) subsurface storage and cumulative oil production.It also establishes a new standard for such forecasting,which can lead to the development of more effective and sustainable solutions for oil recovery.
