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A Spectral Convolutional Neural Network Model Based on Adaptive Fick’s Law for Hyperspectral Image Classification

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Computers, Materials & Continua 2024年第4期79卷 19-46页

作者： Tsu-Yang Wu Haonan Li Saru Kumari chien-ming Chen School of Artificial Intelligence(School of Future Technology) Nanjing University of Information Science&TechnologyNanjing210044China College of Computer Science and Engineering Shandong University of Science and TechnologyQingdao266590China Department of Mathematics Chaudhary Charan Singh UniversityMeerutUttar Pradesh250004India

Hyperspectral image classification stands as a pivotal task within the field of remote sensing,yet achieving highprecision classification remains a significant *** response to this challenge,a Spectral Convolutional Neural Network model based on Adaptive Fick’s Law Algorithm(AFLA-SCNN)is *** Adaptive Fick’s Law Algorithm(AFLA)constitutes a novel metaheuristic algorithm introduced herein,encompassing three new strategies:Adaptive weight factor,Gaussian mutation,and probability update *** adaptive weight factor,the algorithmcan adjust theweights according to the change in the number of iterations to improve the performance of the *** helps the algorithm avoid falling into local optimal solutions and improves the searchability of the *** probability update strategy helps to improve the exploitability and adaptability of the *** the AFLA-SCNN model,AFLA is employed to optimize two hyperparameters in the SCNN model,namely,“numEpochs”and“miniBatchSize”,to attain their optimal ***’s performance is initially validated across 28 functions in 10D,30D,and 50D for CEC2013 and 29 functions in 10D,30D,and 50D for *** results indicate AFLA’s marked performance superiority over nine other prominent optimization ***,the AFLA-SCNN model was compared with the Spectral Convolutional Neural Network model based on Fick’s Law Algorithm(FLA-SCNN),Spectral Convolutional Neural Network model based on Harris Hawks Optimization(HHO-SCNN),Spectral Convolutional Neural Network model based onDifferential Evolution(DE-SCNN),SpectralConvolutionalNeuralNetwork(SCNN)model,and SupportVector Machines(SVM)model using the Indian Pines dataset and PaviaUniversity *** experimental results show that the AFLA-SCNN model outperforms other models in terms of Accuracy,Precision,Recall,and F1-score on Indian Pines and Pavia *** them,the Accuracy of the AFLA-SCNN model on India

关键词： Adaptive Fick’s law algorithm spectral convolutional neural network metaheuristic algorithm intelligent optimization algorithm hyperspectral image classification

Machine learning-based comparison of factors influencing estimated glomerular filtration rate in Chinese women with or without nonalcoholic fatty liver

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World Journal of Clinical Cases 2024年第15期12卷 2506-2521页

作者： I-chien Chen Lin-Ju chou Shih-Chen Huang Ta-Wei Chu Shang-Sen Lee Department of Nursing Kaohsiung Armed Forces General HospitalKaohsiung 802Taiwan Department of Obstetrics and Gynecology Tri-Service General HospitalNational Defense Medical CenterTaipei 114Taiwan Chief Executive Officer's Office MJ Health Research FoundationTaipei 114Taiwan Department of Urology Taichung Tzu Chi HospitalBuddhist Tzu Chi Medical FoundationTaichung 427Taiwan School of Medicine Tzu Chi UniversityHualian 970Taiwan Department of Urology Tri-Service General HospitalNational Defense Medical CenterTaipei 114Taiwan

BACKGROUND The prevalence of non-alcoholic fatty liver(NAFLD)has increased *** with NAFLD are known to have higher chance for renal function *** past studies used traditional multiple linear regression(MLR)to identify risk factors for decreased estimated glomerular filtration rate(eGFR).However,medical research is increasingly relying on emerging machine learning(Mach-L)*** present study enrolled healthy women to identify factors affecting eGFR in subjects with and without NAFLD(NAFLD+,NAFLD-)and to rank their *** To uses three different Mach-L methods to identify key impact factors for eGFR in healthy women with and without *** A total of 65535 healthy female study participants were enrolled from the Taiwan MJ cohort,accounting for 32 independent variables including demographic,biochemistry and lifestyle parameters(independent variables),while eGFR was used as the dependent *** from MLR,three Mach-L methods were applied,including stochastic gradient boosting,eXtreme gradient boosting and elastic *** of estimation were used to define method accuracy,where smaller degree of error indicated better model *** Income,albumin,eGFR,High density lipoprotein-Cholesterol,phosphorus,forced expiratory volume in one second(FEV1),and sleep time were all lower in the NAFLD+group,while other factors were all significantly higher except for smoking ***-L had lower estimation errors,thus outperforming *** Model 1,age,uric acid(UA),FEV1,plasma calcium level(Ca),plasma albumin level(Alb)and T-bilirubin were the most important factors in the NAFLD+group,as opposed to age,UA,FEV1,Alb,lactic dehydrogenase(LDH)and Ca for the *** the importance percentage was much higher than the 2nd important factor,we built Model 2 by removing *** The eGFR were lower in the NAFLD+group compared to the NAFLD-group,with age being was the most important impact factor in both groups of he

关键词： Non-alcoholic fatty liver Estimated glomerular filtration rate Machine learning Chinese women

Layered oxide cathodes for sodium-ion batteries:microstructure design,local chemistry and structural unit

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Science China Chemistry 2024年第1期67卷 191-213页

作者： Ling-Yi Kong Han-Xiao Liu Yan-Fang Zhu Jia-Yang Li Yu Su Hong-Wei Li Hai-Yan Hu Yi-Feng Liu ming-Jing Yang Zhuang-Chun Jian Xin-Bei Jia Shu-Lei chou Yao Xiao Institute for Carbon Neutralization College of Chemistry and Materials EngineeringWenzhou UniversityWenzhou 325035China

Because of the low price and abundant reserves of sodium compared with lithium,the research of sodium-ion batteries(SIBs)in the field of large-scale energy storage has returned to the research *** oxides distinguish themselves from the mains cathode materials of SIBs owing to their advantages such as high specific capacity,simple synthesis route,and environmental ***,the commercial development of the layered oxides is limited by sluggish kinetics,complex phase transition and poor air *** on the research ideas from macro-to micro-scale,this review systematically summarizes the current optimization strategies of sodium-ion layered oxide cathodes(SLOC)from different dimensions:microstructure design,local chemistry regulation and structural unit *** the dimension of microstructure design,the various structures such as the microspheres,nanoplates,nanowires and exposed active facets are prepared to improve the slow kinetics and electrochemical ***,from the view of local chemistry regulation by chemical element substitution,the intrinsic electron/ion properties of SLOC have been enhanced to strengthen the structural ***,the optimization idea of endeavors to regulate the physical and chemical properties of cathode materials essentially is put forward from the dimension of structural unit *** opinions and strategies proposed in this review will provide some inspirations for the design of new SLOC in the future.

关键词： sodium-ion batteries layered oxide cathodes microstructure design local chemistry structural unit

Turbulence and cavitation models for time-dependent turbulent cavitating flows

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Acta Mechanica Sinica 2011年第4期27卷 473-487页

作者： chien-chou Tseng Department of Mechanical Engineering University of Michigan

Cavitation typically occurs when the fluid pressure is lower than the vapor pressure at a local thermodynamic state, and the flow is frequently unsteady and turbulent. To assess the state-of-the-art of computational capabilities for unsteady cavitating flows, different cavitation and turbulence model combinations are conducted. The selected cavitation models include several widely-used models including one based on phenomenological argument and the other utilizing interface dynamics. The k-e turbulence model with additional implementation of the filter function and density correction function are considered to reduce the eddy viscosity according to the computed turbulence length scale and local fluid density respectively. We have also blended these alternative cavitation and lustrate that the eddy viscosity turbulence treatments, to ilnear the closure region can significantly influence the capture of detached cavity. From the experimental validations regarding the force analysis, frequency, and the cavity visualization, no single model combination performs best in all aspects. Furthermore, the implications of parameters contained in different cavitation models are investigated. The phase change process is more pronounced around the detached cavity, which is better illustrated by the interfacial dynamics model. Our study provides insight to aid further modeling development.

关键词： Cavitation Turbulence model Cavitationmodel Hybrid model

Lagrangian-based investigation of multiphase flows by finite-timeLyapunov exponents

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Acta Mechanica Sinica 2012年第3期28卷 612-624页

作者： Jia-Ning Tang chien-chou Tseng Ning-FeiWang School of Aerospace Engineering Beijing Institute of Technology100081 Beijing China Department of Mechanical and Electro-Mechanical Engineering National Taiwan Sun Yat-Sen UniversityKaohsiung Taiwan China Department of Aerospace Engineering University of Michigan Ann ArborM148109 USA

Multiphase flows are ubiquitous in our daily life and engineering applications. It is important to investigate the flow structures to predict their dynamical behaviors ef- fectively. Lagrangian coherent structures （LCS） defined by the ridges of the finite-time Lyapunov exponent （FTLE） is utilized in this study to elucidate the multiphase interactions in gaseous jets injected into water and time-dependent turbu- lent cavitation under the framework of Navier-Stokes flow computations. For the gaseous jets injected into water, the highlighted phenomena of the jet transportation can be observed by the LCS method, including expansion, bulge, necking/breaking, and back-attack. Besides, the observation of the LCS reveals that the back-attack phenomenon arises from the fact that the injected gas has difficulties to move toward downstream re- gion after the necking/breaking. For the turbulent cavitating flow, the ridge of the FTLE field can form a LCS to capture the front and boundary of the re-entraint jet when the ad- verse pressure gradient is strong enough. It represents a bar- rier between particles trapped inside the circulation region and those moving downstream. The results indicate that the FFLE field has the potential to identify the structures of mul- tiphase flows, and the LCS can capture the interface/barrier or the vortex/circulation region.

关键词： Finite-time Lyapunov exponents Lagrangiancoherent structures Multiphase flow Gaseous jets injectedinto water Cavitation

Modeling of turbulent,isothermal and cryogenic cavitation under attached conditions

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Acta Mechanica Sinica 2010年第3期26卷 325-353页

作者： chien-chou Tseng Yingjie Wei GuoyuWang Wei Shyy Department of Mechanical Engineering University of Michigan2350 Hayward Ann Arbor MI 48109 USA School of Astronautics Harbin Institute of Technology 92 West Da-Zhi Street Harbin 150001 China School of Vehicle and Transportation Engineering Beijing Institute of Technology 5 South Zhongguancun Street Beijing 100081 China Department of Aerospace Engineering University of Michigan 1320 Beal Ann Arbor MI 48109 USA

Cavitation is often triggered when the fluid pres- sure is lower than the vapor pressure at a local thermo- dynamic state. The present article reviews recent progress made toward developing modeling and computational strat- egies for cavitation predictions under both isothermal and cryogenic conditions, with an emphasis on the attached cav- ity. The review considers alternative cavitation models along Reynolds-averaged Navier-Stokes and very lager eddy simu- lation turbulence approaches to ensure that the computational tools can handle flows of engineering interests. Observing the substantial uncertainties associated with both modeling and experimental information, surrogate modeling strategies are reviewed to assess the implications and relative impor- tance of the various modeling and materials parameters. The exchange between static and dynamic pressures under the influence of the viscous effects can have a noticeable impact on the effective shape of a solid object, which can impact the cavitation structure. The thermal effect with respect to evaporation and condensation dynamics is examined to shed light on the fluid physics associated with cryogenic cav- itation. The surrogate modeling techniques are highlighted in the context of modeling sensitivity assessment. Keywords

关键词： Cavitation Cryogenic liquidThermal effects Turbulence model - Surrogate model

Study on the High Conductive Polymer as the Miniaturized Reference Electrode

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稀有金属材料与工程 2006年第A3期35卷 254-255页

作者： Jung-Chuan chou chien-Cheng Chen Department of Electronic Engineering National Yunlin University of Science and TechnologyDouliouTaiwan 640China

The polypyrrole is the high conductive polymer which was coated onto indium tin oxide (ITO) glass substrate by electroplated technique to fabricate a miniaturized reference ***,the morphology of the ITO glass reference electrode electroplated with pyrrole has been studied through the instrumental analysis utilizing cyclic voltammetry (CV). Furthermore,the sensing characteristics of the reference electrode have been measured by using commercial instrumental amplifier as the readout *** the high conductive polymer as miniaturized reference electrode has many advantages such as easy fabrication of coating polymer,without any expensive fabricating equipment,easy carry by the miniaturized ***,it is suitable for the reference electrode production.

关键词： miniaturized reference electrode polypyrrole conductive polymer cyclic voltammetry

Effect of liver cirrhosis on long-term outcomes after acute respiratory failure: A population-based study

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World Journal of Gastroenterology 2017年第12期23卷 2201-2208页

作者： Chih-Cheng Lai Chung-Han Ho Kuo-Chen Cheng chien-ming Chao Chin-ming Chen Willy chou Department of Intensive Care Medicine Chi Mei Medical Center Departments of Medical Research Chi Mei Medical Center Internal Medicine Chi Mei Medical Center Department of Safety Health and EnvironmentChung Hwa University of Medical Technology Department of Recreation and Health-Care Management Chia Nan University of Pharmacy and Science

AIM To assessed the effect of liver cirrhosis(LC) on the poorly understood long-term mortality risk after firstever mechanical ventilation(1-MV) for acute respiratory *** All patients in Taiwan given a 1-MV between 1997 and 2013 were identified in Taiwan's Longitudinal Health Insurance Database 2000. Each patient with LC was individually matched, using a propensity-score method, to two patients without LC. The primary outcome was death after a *** A total of 16653 patients were enrolled: 5551 LC-positive (LC^([Pos])) patients, including 1732 with cryptogenic LCs and 11102 LC-negative(LC^([Pos])) controls. LC^([Pos]) patients had more organ failures and were more likely to be admitted to medical department than were LC^([Pos]) controls. LC^([Pos]) patients had a significantly lower survival rate(AHR = 1.38, 95%CI: 1.32-1.44). Moreover, the mortality risk was significantly higher for patients with non-cryptogenic LC than for patients with cryptogenic LC(AHR = 1.43, 95%CI: 1.32-1.54) and patients without LC(AHR = 1.56, 95%CI: 1.32-1.54). However, there was no significant difference between patients with cryptogenic and without LC(HR = 1.05, 95%CI: 0.98-1.12).CONCLUSION LC, especially non-cryptogenic LC, significantly increases the risk of death after a 1-MV.

关键词： Liver cirrhosis Mechanical ventilation Outcome

Modeling postpartum depression in rats： theoretic and methodological issues

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Zoological Research 2016年第4期37卷 229-236页

作者： ming LI Shinn-Yi chou Department of Psychology University of Nebraska-Lincoln Lincoln Nebraska 68588-0308 USA

The postpartum period is when a host of changes occur at molecular, cellular, physiological and behavioral levels to prepare female humans for the challenge of maternity. Alteration or prevention of these normal adaptions is thought to contribute to disruptions of emotion regulation, motivation and cognitive abilities that underlie postpartum mental disorders, such as postpartum depression. Despite the high incidence of this disorder, and the detrimental consequences for both mother and child, its etiology and related neurobiological mechanisms remain poorly understood, partially due to the lack of appropriate animal models. In recent decades, there have been a number of attempts to model postpartum depression disorder in rats. In the present review, we first describe clinical symptoms of postpartum depression and discuss known risk factors, including both genetic and environmental factors. Thereafter, we discuss various rat models that have been developed to capture various aspects of this disorder and knowledge gained from such attempts. In doing so, we focus on the theories behind each attempt and the methods used to achieve their goals. Finally, we point out several understudied areas in this field and make suggestions for future directions.

关键词： Postpartum depression Rat models HPA axis Stress Estrogen