Objective:To assess the psychometric properties of the Thai version of the Self-Care Self-Efficacy Scale version 3.0(SCSES-v3.0)in individuals with chronic illnesses.Although originally developed and tested in a Weste...Objective:To assess the psychometric properties of the Thai version of the Self-Care Self-Efficacy Scale version 3.0(SCSES-v3.0)in individuals with chronic illnesses.Although originally developed and tested in a Western context,its applicability in Asian populations,including Thailand,remains inadequately explored.Methods:Psychometric tests were guided by COSMIN principles.This included the translation of the English version into Thai based on the ISPOR framework.Nine nursing experts evaluated the content validity.Data were obtained from a multicenter cross-sectional study conducted between July and November 2022.This study included individuals with chronic conditions from 16 primary care centers in Thailand.We tested the structural validity using exploratory factor analysis(EFA)and confirmatory factor analysis(CFA),and concurrent validity in relation to the Self-Care of Chronic Illness Inventory version 4.c(SC-CII-v4.c).We tested the scale’s reliability with McDonald’s u,Cronbach’s a,and the intraclass correlation coefficient(ICC).Results:The Thai SCSES-v3.0 demonstrated excellent content validity(k¼1.00).Thefinal analysis included a total of 385 participants.The EFA with thefirst split-half subsample(n¼193)extracted a twofactor structure.One reflected SCSES for maintenance and monitoring behaviors and another captured SCSES for management behaviors(item 6e10).CFA with the second split-half subsample(n¼192)and the overall sample(n¼385)supported the scale’s two-factor model with high factor loadings.Each dimension and the overall SCSES-v3.0 positively correlated with each scale and the overall SC-CII-v4.c.McDonald’s u and Cronbach’s a(both ranged 0.91e0.94)and ICC(ranged 0.95e0.96),indicated excellent internal reliability and test-retest reliability,respectively.Conclusions:The identification of a valid and reliable two-factor model for the Thai SCSES-v3.0 renders it a valuable tool for clinicians and investigators,facilitating the assessment of self-efficacy in self-care across diverse contexts.展开更多
A viscoelastic micromechanical model is presented to predict the dynamic modulus of asphalt concrete （AC） and investigate the effect of imperfect interface between asphalt mastic and aggregates on the overall viscoe...A viscoelastic micromechanical model is presented to predict the dynamic modulus of asphalt concrete （AC） and investigate the effect of imperfect interface between asphalt mastic and aggregates on the overall viscoelastic characteristics of AC. The linear spring layer model is introduced to simulate the interface imperfection. Based on the effective medium theory, the viscoelastic micromechanical model is developed by two equivalence processes. The present prediction is compared with available experimental data to verify the developed framework. It is found that the proposed model has the capability to predict the dynamic modulus of AC. Interface effect on the dynamic modulus of AC is discussed using the developed model. It is shown that the interfacial bonding strength has a significant influence on the global mechanical performance of AC, and that continued improvement in surface fimctionalization is necessary to realize the full potential of aggregates reinforcement.展开更多
A novel data acquisition system was successfully integrated on-board the Massey Ferguson 3,000 series agricultural tractors for measuring tractor-implement performance. A commercial load cell was incorporated into the...A novel data acquisition system was successfully integrated on-board the Massey Ferguson 3,000 series agricultural tractors for measuring tractor-implement performance. A commercial load cell was incorporated into the existing system for the needed tractor-implement performance, measurements. This system is capable of measuring, displaying and recording, in real-time, the tractor＇s theoretical travel speed, the actual travel speed, the engine speed, the fuel consumption rate, and the drawbar pull. Static calibration tests on various associated sensors for the required measurements show excellent linearity with correlation coefficients that are close to 1. The developed system was extensively and successfully field demonstrated for tractor-implement performance with offset disc harrows on dry, undisturbed loamy soils. Under these conditions, a ratio of tractor power to implement width is suggested. The data also show the existence of a linear relationship between fuel consumption per hectare and specific draught, for the 4 to 9 kN m^-1 range, which suggests the possibility of extending the American Society of Agricultural and Biological Engineers model of draught prediction to forecast fuel consumption. The configuration of the tractor-harrow combination, based on the measurement of the draught required under operational conditions, provides the manufacturers with a reliable indication of the recommended power required for each harrow model. With this type of information farmers can make decisions regarding selection of a suitable tractor-implement combination for their farms. As a consequence, there is improved tractor-harrow productivity and field efficiency.展开更多
基金The original study wasfinancially supported by Walailak University(grant number:WU65240,Year 2022).
文摘Objective:To assess the psychometric properties of the Thai version of the Self-Care Self-Efficacy Scale version 3.0(SCSES-v3.0)in individuals with chronic illnesses.Although originally developed and tested in a Western context,its applicability in Asian populations,including Thailand,remains inadequately explored.Methods:Psychometric tests were guided by COSMIN principles.This included the translation of the English version into Thai based on the ISPOR framework.Nine nursing experts evaluated the content validity.Data were obtained from a multicenter cross-sectional study conducted between July and November 2022.This study included individuals with chronic conditions from 16 primary care centers in Thailand.We tested the structural validity using exploratory factor analysis(EFA)and confirmatory factor analysis(CFA),and concurrent validity in relation to the Self-Care of Chronic Illness Inventory version 4.c(SC-CII-v4.c).We tested the scale’s reliability with McDonald’s u,Cronbach’s a,and the intraclass correlation coefficient(ICC).Results:The Thai SCSES-v3.0 demonstrated excellent content validity(k¼1.00).Thefinal analysis included a total of 385 participants.The EFA with thefirst split-half subsample(n¼193)extracted a twofactor structure.One reflected SCSES for maintenance and monitoring behaviors and another captured SCSES for management behaviors(item 6e10).CFA with the second split-half subsample(n¼192)and the overall sample(n¼385)supported the scale’s two-factor model with high factor loadings.Each dimension and the overall SCSES-v3.0 positively correlated with each scale and the overall SC-CII-v4.c.McDonald’s u and Cronbach’s a(both ranged 0.91e0.94)and ICC(ranged 0.95e0.96),indicated excellent internal reliability and test-retest reliability,respectively.Conclusions:The identification of a valid and reliable two-factor model for the Thai SCSES-v3.0 renders it a valuable tool for clinicians and investigators,facilitating the assessment of self-efficacy in self-care across diverse contexts.
基金Project(51408173)supported by the National Natural Science Foundation of China
文摘A viscoelastic micromechanical model is presented to predict the dynamic modulus of asphalt concrete （AC） and investigate the effect of imperfect interface between asphalt mastic and aggregates on the overall viscoelastic characteristics of AC. The linear spring layer model is introduced to simulate the interface imperfection. Based on the effective medium theory, the viscoelastic micromechanical model is developed by two equivalence processes. The present prediction is compared with available experimental data to verify the developed framework. It is found that the proposed model has the capability to predict the dynamic modulus of AC. Interface effect on the dynamic modulus of AC is discussed using the developed model. It is shown that the interfacial bonding strength has a significant influence on the global mechanical performance of AC, and that continued improvement in surface fimctionalization is necessary to realize the full potential of aggregates reinforcement.
文摘A novel data acquisition system was successfully integrated on-board the Massey Ferguson 3,000 series agricultural tractors for measuring tractor-implement performance. A commercial load cell was incorporated into the existing system for the needed tractor-implement performance, measurements. This system is capable of measuring, displaying and recording, in real-time, the tractor＇s theoretical travel speed, the actual travel speed, the engine speed, the fuel consumption rate, and the drawbar pull. Static calibration tests on various associated sensors for the required measurements show excellent linearity with correlation coefficients that are close to 1. The developed system was extensively and successfully field demonstrated for tractor-implement performance with offset disc harrows on dry, undisturbed loamy soils. Under these conditions, a ratio of tractor power to implement width is suggested. The data also show the existence of a linear relationship between fuel consumption per hectare and specific draught, for the 4 to 9 kN m^-1 range, which suggests the possibility of extending the American Society of Agricultural and Biological Engineers model of draught prediction to forecast fuel consumption. The configuration of the tractor-harrow combination, based on the measurement of the draught required under operational conditions, provides the manufacturers with a reliable indication of the recommended power required for each harrow model. With this type of information farmers can make decisions regarding selection of a suitable tractor-implement combination for their farms. As a consequence, there is improved tractor-harrow productivity and field efficiency.
