MAPOD Analysis in Eddy Current Testing of Flaws Considering Multiple Response Signals and Multiple Flaw Parameters

The reliability of the eddy current testing (ECT) in flaw detection is quantitatively evaluated by theprobability of detection (POD). Precise and efficient modeling of POD gives direction for the implement of ECTon sites to avoid false or missing flaw detection. Traditional POD analysis focuses on single uncertain factor orsingle response signal with limited credibility in engineering. This paper considers multiple response signals andmultiple flaw parameters to perform POD. The flaw length, the flaw depth, the coil impedance, and the magneticflux density are comprehensively studied under various lift-off distances. A finite element model (FEM) of ECT isestablished and verified with experiments to obtain sufficient simulation data for discrete POD modeling. Thecontinuous POD function is then fitted based on the discrete values to show the superiority of integrating multiplefactors. A comparison with conventional POD analysis further demonstrates the higher reliability of ECT flawdetection considering multiple flaw parameters and multiple response signals, especially for small flaws.

On the Rule of Law Path for Inclusive Education to Empower Education Assistance for Persons with Disabilities

Inclusive education is the mainstream of developing education for persons with disabilities worldwide.It advocates the recognition and protection of the right of persons with disabilities to receive inclusive education in mainstream schools.From the perspective of inclusive education,the educational assistance system for persons with disabilities represents a theoretical innovation in traditional educational support methods,playing a crucial role in integrating persons with disabilities into society,reversing their disadvantaged status,and maintaining educational equity.At present,China's legal system for inclusive education assistance for persons with disabilities needs improvement,and faces several obstacles,including conceptual“limited capacity”,“monotonous”subjects,“crowding-out”obstacles and supervision“absence”obstacles.It is urgent to begin with the transformation of the rule of law concept,clarify the legal positioning of multiple responsibility subjects,achieve mutual reinforcement of education law and education aid legislation,establish a supervision system for inclusive education assistance,and improve the legal framework for educational assistance for persons with disabilities.This will ensure that persons with disabilities can successfully realize their right to education,share in the benefits of social development,and ultimately contribute to achieving common prosperity.

Multiple-response optimization for melting process of aluminum melting furnace based on response surface methodology with desirability function

To reduce the fuel consumption and emissions and also enhance the molten aluminum quality, a mathematical model with user-developed melting model and burning capacity model, were established according to the features of melting process of regenerative aluminum melting furnaces. Based on validating results by heat balance test for an aluminum melting furnace, CFD （computational fluid dynamics） technique, in association with statistical experimental design were used to optimize the melting process of the aluminum melting furnace. Four important factors influencing the melting time, such as horizontal angle between burners, height-to-radius ratio, natural gas mass flow and air preheated temperature, were identified by PLACKETT-BURMAN design. A steepest descent method was undertaken to determine the optimal regions of these factors. Response surface methodology with BOX-BEHNKEN design was adopted to further investigate the mutual interactions between these variables on RSD （relative standard deviation） of aluminum temperature, RSD of furnace temperature and melting time. Multiple-response optimization by desirability function approach was used to determine the optimum melting process parameters. The results indicate that the interaction between the height-to-radius ratio and horizontal angle between burners affects the response variables significantly. The predicted results show that the minimum RSD of aluminum temperature （12.13%）, RSD of furnace temperature （18.50%） and melting time （3.9 h） could be obtained under the optimum conditions of horizontal angle between burners as 64°, height-to-radius ratio as 0.3, natural gas mass flow as 599 m3/h, and air preheated temperature as 639 ℃. These predicted values were further verified by validation experiments. The excellent correlation between the predicted and experimental values confirms the validity and practicability of this statistical optimum strategy.

Biological responses of small yellow croaker(Larimichthys polyactis) to multiple stressors: a case study in the Yellow Sea, China

Temporal changes in biological characteristics of small yellow croaker Larimichthys polyactis in the Yellow Sea were examined for the period of 1960–2008. The body size and age of small yellow croaker decreased substantially, in particular, average length of fish in 2008 was reduced by ~85% than those occurring in 1985, and at that time ~93% of the total catch was dominated by one-year-old individuals. Correspondingly, growth parameters also varied significantly over the years, i.e., k（growth coefficient） and t_0（zero-length age） gradually increased from 0.26 and –0.58 year in 1960 to 0.56 and –0.25 year in 2008, respectively. Although, L∞（body length）sharply decreased from 34.21 cm in 1960 to 24.06 cm in 2008, and t_r（inflexion age） decreased from 3.78 year in1960 to 1.61 year in 2008. There was a great increase both in natural mortality coefficient and fishing mortality coefficient. However, according to the gray correlation analysis, changes in the biological characteristics of small yellow croaker were induced by different stressors ranked as： fishing vessel power〉feeding grade〉sea surface temperature. This study suggests that the active fishery management measures for biological characters of fish populations should be considered.

Spectral-domain optical coherence tomography dynamic changes and steroid response in multiple evanescent white dot syndrome

Dear Editor,Multiple evanescent white dot syndrome （MEWDS） was first described in 1984 as a rare, acute, unilateral,multifocal retinochoroidal disorder, typically affecting young myopic women. Previous studies with fluorescein angiography （FA） and electrophysiology suggested that MEWDS to be a disease in the retinal pigment epithelium （RPE） or outer retina, while recent studies with spectral- domain optical coherence tomography （SD-OCT） suggested it may be an outer retinal disease due to observation of hyperreflective material in outer retina and subtle disruptionsof the ellipsoid zone without RPE disruption.

A time domain multiple-CFOs and CIRs estimation algorithm over wireless multimedia sensor networks

Channel parameters estimation in an orthogonal for the receiver station is a multi-dimensional （MD） frequency division multiple access （OFDMA） system optimization problem, because every user node has a separate local oscillator and every transmitter to receiver link has individual carrier frequency offset （CFO） and channel impulse response （CIR） parameters. In order to reduce the computational complexity for MD optimization, a time domain CFOs and CIRs estimation algorithm over the OFDMA based wireless multimedia sensor networks （WMSN） is proposed in this paper. In this algorithm, the receiver station can decouple the signal from every node by correlation based on specially designed training sequences, so that the MD optimization problem is simplified to an 1-D optimal problem. It is proved that the multiple CFOs can be identified from the correlation result using the phase shift of the consecutive training se- quences. Based on the CFOs estimation result, the CIRs can then he estimated according to the minimum mean square error （MMSE） criterion. The theoretic analysis and simulation results show that the proposed algorithm can effectively decouple the signal from different user nodes and the bit error rate （BER） per- formance curves are close to the ideal estimation when the user number is not large.

Research on spirit and culture of the elderly life under the multiple responsibility

With the transformation of population age structure and the extension of life expectancy, China has entered a rapid aging period. With development of social economy and the social security systcn~ the elderly spiritual and cultural needs is becoming more and more importantly. To the government, enterprise, society community, family and themselves, enriching the spirit and culture of the elderly life is a higher level of challenge.

The Place of Human Resource Management in Lagos State Healthcare Delivery: A Statistical Overview

Background: Behind every great system is an organized team;this is especially true in the healthcare industry, where a dedicated human resources team can effectively recruit employees, train staff, and implement safety measures in the workplace. The importance of human resources in the healthcare industry cannot be overstated, with benefits ranging from providing an orderly and effectively run facility to equipping staff with the most accurate and up-to-date training. Proper human resources management is critical in providing high-quality health care. A refocus on human resources management in healthcare requires more research to develop new policies. Effective human resources management strategies are greatly needed to achieve better outcomes and access to health care worldwide. Methods: This study leveraged NOI Polls census data on Health Facility Assessment for Lagos State. One thousand two hundred fifty-six health care facilities were assessed in Lagos State;numbers of Health workers were documented alongside their area of specialization. Also, demographic characterizations of the facilities, such as LGA, Ownership type, Facility Level Care, and Category of the facility, were also documented. Descriptive statistics alongside cross tabulation was done to present the various area of specialization of the health workers. Multiple response analysis was done to understand the distribution of human resources across the health facilities. At the same time, Chi-square and correlation tests were conducted to test the independence of various categories recorded while understanding the relationships among selected specialties. Results: The study revealed that Nurses were the most common health specialist in the Lagos State health facilities. At the same time, Gynecologists and General surgeons are the two medical specialists mostly common in health facilities. Midwives are the second most common health specialist working full time, while Generalist medical doctors make up the top three health specialists working full time. Nurses and Midwives had the highest number in Lagos State, while Pulmonologists were currently the lowest human resource available in Lagos State health care system. It was also noted that health facility distribution across Lagos’s urban and rural areas was even. In contrast, distribution based on other factors such as ownership type, Facility level of care, and facility category was slightly skewed. Conclusion: The distribution of health workers in health facility across LGA in Lagos State depend on Ownership type, Facility level of care, and category of the facility.

Application of grey relational analysis in sheet metal forming for multi-response quality characteristics

The theory of grey systems is a new technique for performing prediction, relational analysis and decision making in many areas. In this paper, the use of grey relational analysis for optimizing the square hole flanging process parameters with considerations of the multiple response (the average flanging height, regular flanging and maximum strain) is introduced. Various flanging parameters, such as the blank inner radius rb, blank inner width B0, are considered. An orthogonal array is used for the experimental design. Multiple response values are obtained using finite element analysis (FEA). Optimal process parameters are determined by the grey relational grade obtained from the grey relational analysis for multi-performance characteristics (flanging height, regular flanging and maximum strain). Analysis of variance (ANOVA) for the grey relational grade is implemented. The results showed good agreement with the experiment result. Grey relational analysis can be applied in multiple response optimi-zation designs.

CAE-Based Robust Optimization for Deep-Drawing Process of Sheet Metal Forming Using Grey Relational Analysis Method

The theory of grey systems is a new technique for performing prediction, relational analysis and decision making in many areas. The grey relational analysis was used to optimize the deep-drawing process parameters with considerations of the multiple response （the wrinkle, crack and thinning variation）. The deep-drawing parame- ters, such as the blank holding force （Fhh）, the radii of punch and die （R1.R2）, the coefficients of friction （μ1,μ2,μ3） are considered. An orthogonal array is used for the experimental design. The multiple response values are ob- tained making use of finite element analysis （FEA）. Optimal process parameters are determined by the grey rela- tional grade obtained from the grey relational analysis for multi-performance characteristics （the wrinkle, crack and the thinning）. The analysis of variance （ANOVA） for the grey relational grade is implemented. The results show that the quality of stamped parts can be improved effectively through the new approach. The grey relational analysis can be applied in sheet metal forming.

Association Testing for High-Dimensional Multiple Response Regression

Multiple response regression model is commonly employed to investigate the relationship between multiple outcomes and a set of potential predictors,where single-response analysis and multivariate analysis of variance(MANOVA)are two frequently used methods for association analysis.However,both methods have their own limitations.The basis of the former method is independence of multiple responses and the latter one assumes that multiple responses are normally distributed.In this work,the authors propose a test statistic for multiple response association analysis in high-dimensional situations based on F statistic.It is free of normal distribution assumption and the asymptotic normal distribution is obtained under some regular conditions.Extensive computer simulations and four real data applications show its superiority over single-response analysis and MANOVA methods.

Advanced multiple response surface method of sensitivity analysis for turbine blisk reliability with multi-physics coupling

To reasonably implement the reliability analysis and describe the significance of influencing parameters for the multi-failure modes of turbine blisk, advanced multiple response surface method (AMRSM) was proposed for multi-failure mode sensitivity analysis for reliability. The mathematical model of AMRSM was established and the basic principle of multi-failure mode sensitivity analysis for reliability with AMRSM was given. The important parameters of turbine blisk failures are obtained by the multi-failure mode sensitivity analysis of turbine blisk. Through the reliability sensitivity analyses of multiple failure modes (deformation, stress and strain) with the proposed method considering fluid-thermal-solid interaction, it is shown that the comprehensive reliability of turbine blisk is 0.9931 when the allowable deformation, stress and strain are 3.7 x 10(-3) m, 1.0023 x 10(9) Pa and 1.05 x 10(-2) m/m, respectively; the main impact factors of turbine blisk failure are gas velocity, gas temperature and rotational speed. As demonstrated in the comparison of methods (Monte Carlo (MC) method, traditional response surface method (RSM), multiple response surface method (MRSM) and AMRSM), the proposed AMRSM improves computational efficiency with acceptable computational accuracy. The efforts of this study provide the AMRSM with high precision and efficiency for multi-failure mode reliability analysis, and offer a useful insight for the reliability optimization design of multi-failure mode structure. (C) 2016 Chinese Society of Aeronautics and Astronautics. Production and hosting by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license.

Multiple-Stimuli Responsive and Tunable Luminescent Suprarnolecular Assembly by Oligo（p-phenylvinylene） and Surfactant

Achieving multicolor photoluminescence under multiple stimuli response based on a single fluorescent compound remains a great challenge. Herein, we report a novel multicolor fluorescent supramolecular assembly, which was constructed from surfactant sodium dodecyl sulfate （SLS） and fluorescent compound 1 bearing a rigid symmetrical acceptor-donor-acceptor structure. The luminescence property of 1/SLS assembly showed the multiple stimuli response towards temperature, cyclodextrin complexation and UV light irradiation, exhibiting the tunable emission wavelengths from 490 nm to 590 nm and the multicolor photoluminescence including cyan, green, yellow and orange. Furthermore, this assembly could be used in light writing owing to the fast fluorescence change within 15 s. These results could provide a convenient and useful method for fabricating smart tunable photoluminescent materials.

Evaluation of joint toxicity of heavy metals and herbicide mixtures in soils to earthworms(Eisenia fetida)

It is widely acknowledged that a simplified and robust approach to evaluating thecombined effects of chemical mixtures is critical for ecological risk assessment(ERA)of contaminated soil.The earthworm(Eisenia fetida)was used as a model to study the combined effects of polymetallic contamination and the herbicide siduron in field soil using a microcosm experiment.The responses of multiple biomarkers,including the activities of catalase(CAT),superoxide dismutase(SOD),glutathione reductase(GR)and acetylcholine esterase(AChE),the concentrations of glycogen,soluble protein(SP),malonaldehyde(MDA),and metallothionein(MT),and the neutral red uptake test(NRU),were investigated.Multivariate analysis,Principal Component Analysis(PCA)and Spearman’s Rank Correlations analysis(BVSTEP)revealed that the activities of AChE and CAT and the NRU content were the prognostic biomarkers capturing the minimum data set of all the variables.Internal Cd(tissue Cd)in earthworms was closely related to the health status of worms under combined contamination of heavy metals and siduron.The integrated effect(E mix)calculated based on the activities of AChE and CAT and NRU content using the stress index method had significantly linear regression with internal Cd(p<0.01).E mix(10),E mix(20),and E mix(50)were then calculated,at 1.27,1.63 and 2.71 mg/kg dry weight,respectively.It could be concluded that a bioassaybased approach incorporating multivariate analysis and internal dose was pragmatic and applicable to evaluating combined effects of chemical mixtures in soils under the guidance of the top-down evaluation concept of combined toxicity.

Microfluidic-directed magnetic controlling supraballs with multi-responsive anisotropic photonic crystal structures

The design and fabrication of anisotropic photonic crystal supraballs with multiple responses are highly desirable for versatile environmental sensing and flexible displaying.Herein,we developed an available strategy to construct a series of multi-responsive magnetic colloidal photonic crystal(CPC)supraballs with Janus and molecular-analogue structures.Initially,the humidity and temperature sensitive CPC supraballs were obtained via immobilization of polyacrylamide(PAM)and polyisopropylacrylamide(PNIPAM)hydrogels into the CPC structure,respectively,and CdTe/ZnS quantum dots endow the supraballs fluorescent signal under UV light.Furthermore,Fe_(3)O_(4) nanoparticles(NPs)were served as a magnetic hemisphere to construct CPC Janus supraballs which can be subsequently assembled into three different molecular-shaped cluster particles that integrate more response types via Fe_(3)O_(4) NPs hemisphere coalescence to a magnetic coupling center,recognizing multiple responses simultaneously that correspond the environmental altering.In addition,2D polychromatic patterns with sensitive CPC pixels printed by automatic printing system were demonstrated,which could monitor the changes of temperature and humidity.The multi-responsive magnetic controlling supraballs and 2D patterns reveal the promising applications in environmental sensing,anti-counterfeiting and displaying.

Hyperbranched Azopolymer with Quadruple Responsibility

Simply constructing multiple responsive polymers with obvious shape and dimension variations on their assemblies upon different stimuli is still rarely reported.In this study,we report a hyperbranched polymer named HPAzoBAHB-star-PEG_(9) with quadruple-response to light,temperature,pH and oxidation stimuli.The polymer contains azobenzene chromophore,sulfide,amide and amine groups in its hydrophobic hyperbranched core,and the core is capped with hydrophilic polyethylene glycol(PEG_(9))arms.HPAzoBAHB-5tar-PEG_(9) could assemble into unusual leaf-like lamellar micelles at 25℃ under the guidance of orderly arranged H-aggregate of azobenzene moieties.These leaf-like lamellar micelles can transform into vesicles upon UV irradiation and lower temperature,or convert to smaller spherical micelles in acidic or oxidative environments,respectively,with the destroy of ordered azobenzene arrangements.This quadruple-responsive hyperbranched polymer is suitable to con struct multiple stimuli-resp on sive micro/nanostructures,or accurate delivery and release following subtle stimuli seque nces.