The advancement of the intelligent manufacturing industry(IMI)represents the future direction for the world's manufactur-ing sector,offering a promising avenue to bolster national competitiveness and enhance indus...The advancement of the intelligent manufacturing industry(IMI)represents the future direction for the world's manufactur-ing sector,offering a promising avenue to bolster national competitiveness and enhance industrial manufacturing efficiency.In this study,we took the industrial robot industry(IRI)as a case study to elucidate the spatial distribution and interconnections of IMI from a geographical perspective,and the modified diamond model(DM)was used to analyze the influencing factors.Results show that:1)the spatial pattern of IRI with various investment attributes in different industrial chain links is generally similar,centered in the southeast.Key investment areas are in the east and south.The spatial distribution of China's IRI covers a multitude of provinces and obtains differ-ent scales of investment in different countries(regions).2)The spatial correlation between foreign investors and China's provincial-level administrative regions(PARs)forms a network,and the network of foreign-invested enterprises is more stable.Different countries(regions)have distinct location preferences in China,with significant spatial differences in correlation degrees.3)Overall,the interac-tion of these factors shapes the location decisions and correlation patterns of industrial robot enterprises.This study not only contributes to our theoretical knowledge of the industrial spatial structure and industrial economy but also offers valuable references and sugges-tions for national IMI planning and relevant industry investors.展开更多
Introduction:Risk assessment for high-risk populations is critical for preventing Type 2 Diabetes Mellitus(T2DM).Although China’s public health services have continuously contributed to early grassroots diagnosis of ...Introduction:Risk assessment for high-risk populations is critical for preventing Type 2 Diabetes Mellitus(T2DM).Although China’s public health services have continuously contributed to early grassroots diagnosis of diabetes for years,universally applicable tools for identifying latent high-risk elderly populations urgently need to account for heterogeneity,robustness,and generalizability.Therefore,this study developed and validated the integrated Chinese Adapted Risk Evaluation for Diabetes Mellitus(iCARE-DM)model for elderly Chinese individuals.Methods:The iCARE-DM model was developed based on pooled effect estimates from a meta-analysis of cohort studies that identified T2DM risk factors in East Asian populations and validated in three multicenter Chinese populations.Predictive performance was evaluated using area under the curve(AUC),sensitivity,specificity,accuracy,log-rank tests,and compared with the guideline-recommended model(i.e.,New Chinese Diabetes Risk Score,NCDRS)as well as four machine learning(ML)models.Results:The iCARE-DM model achieved AUC values of 0.741,0.783,and 0.766,outperforming the NCDRS model by at least 12%.Although the bestperforming ML model achieved AUC values comparable to the iCARE-DM model,its performance varied significantly across populations(with a range as high as 9%).Subgroup analyses of the iCARE-DM model confirmed consistent performance across age,gender and rural-urban groups.Conclusion:The iCARE-DM model demonstrated higher accuracy than the NCDRS model and exhibited superior robustness and generalizability compared to the ML models.The iCARE-DM model provides a robust,culturally adapted tool for T2DM risk assessment in elderly Chinese individuals.展开更多
The visible infrared radiometer(VIRR)is the first instrument with longest measurements equipped on the Fengyun(FY)polar-orbiting satellites.Through re-processing of the historic VIRR measurements,long-term(over 20 yr)...The visible infrared radiometer(VIRR)is the first instrument with longest measurements equipped on the Fengyun(FY)polar-orbiting satellites.Through re-processing of the historic VIRR measurements,long-term(over 20 yr)global data can be integrated from multiple participating VIRRs on a consistent radiometric scale,which are valuable to climate and climate change studies.Due to lack of an onboard calibration system for VIRR,the reflective solar bands must be vicariously calibrated.This study applied the multi-site vicarious approach for consistent calibration of the VIRR visible(VIS)and near-infrared(NIR)data,and produced calibration coefficients for five VIRRs on FY-1 C/D and FY-3 A/B/C.The data quality was then evaluated with observations.The reflectance predicted by using the radiative transfer model over multiple invariant desert and ocean targets was used to derive the calibration slope via a weighted fitting scheme,in which the weights are the inverse of the variance from a radiative transfer simulation evaluated with reference to Aqua moderate resolution imaging spectroradiometer(MODIS).The sensor-specific calibration coefficients were derived on a daily basis by using piecewise polynomials.The calibration reference of the VIRR solar band record was further traced to the Aqua MODIS Collection 6.1 reference calibration with a systematic correction derived from the Libya4 desert.The VIRR record was compared with the Aqua MODIS C6.1 calibration over the polar region based on simultaneous nadir overpass observations.The lifetime relative difference for each sensor are within 3.3%and 4.5%for channels 1 and 2.Invariant deserts were also employed to evaluate the stability and consistency of the VIRR record.In general,the means of the directional and spectral corrected reflectance for each sensor are within 1%of the 20-yr average,implying that the VIRR reflectance of the invariant targets is consistent to within 1%among the sensors for channels 1 and 2.The VIRR data thus derived are reliable.展开更多
It was found that dark matter(DM) in an intermediate-mass-ratio-inspiral(IMRI) system has a significant enhancement effect on the orbital eccentricity of a stellar massive compact object, such as a black hole(BH),whic...It was found that dark matter(DM) in an intermediate-mass-ratio-inspiral(IMRI) system has a significant enhancement effect on the orbital eccentricity of a stellar massive compact object, such as a black hole(BH),which may be tested by space-based gravitational wave(GW) detectors, including LISA, Taiji, and Tianqin in future observations. In this paper, we study the enhancement effect of the eccentricity for an IMRI under different DM density profiles and center BH masses. Our results are as follows:(1) in terms of the general DM spike distribution,the enhancement of the eccentricity is basically consistent with the power-law profile, which indicates that it is reasonable to adopt the power-law profile;(2) in the presence of a DM spike, the different masses of the center BH will affect the eccentricity, which provides a new way for us to detect the BH’s mass;and(3) considering the change in the eccentricity in the presence and absence of a DM spike, we find that it is possible to distinguish DM models by measuring the eccentricity at a scale of approximately 105 GM/c2.展开更多
基金Under the auspices of the Natural Science Foundation Project of Heilongjiang Province(No.LH2019D009)。
文摘The advancement of the intelligent manufacturing industry(IMI)represents the future direction for the world's manufactur-ing sector,offering a promising avenue to bolster national competitiveness and enhance industrial manufacturing efficiency.In this study,we took the industrial robot industry(IRI)as a case study to elucidate the spatial distribution and interconnections of IMI from a geographical perspective,and the modified diamond model(DM)was used to analyze the influencing factors.Results show that:1)the spatial pattern of IRI with various investment attributes in different industrial chain links is generally similar,centered in the southeast.Key investment areas are in the east and south.The spatial distribution of China's IRI covers a multitude of provinces and obtains differ-ent scales of investment in different countries(regions).2)The spatial correlation between foreign investors and China's provincial-level administrative regions(PARs)forms a network,and the network of foreign-invested enterprises is more stable.Different countries(regions)have distinct location preferences in China,with significant spatial differences in correlation degrees.3)Overall,the interac-tion of these factors shapes the location decisions and correlation patterns of industrial robot enterprises.This study not only contributes to our theoretical knowledge of the industrial spatial structure and industrial economy but also offers valuable references and sugges-tions for national IMI planning and relevant industry investors.
基金Supported by the National Key R&D Program of China(2022YFC3600600)Sichuan Science and Technology Program(2024ZYD0102,2025YFHZ0069)+1 种基金Chengdu Science and Technology Program(2024-YF05-01784-SN)Sichuan Preventive Medicine Association(SYYXH202403).
文摘Introduction:Risk assessment for high-risk populations is critical for preventing Type 2 Diabetes Mellitus(T2DM).Although China’s public health services have continuously contributed to early grassroots diagnosis of diabetes for years,universally applicable tools for identifying latent high-risk elderly populations urgently need to account for heterogeneity,robustness,and generalizability.Therefore,this study developed and validated the integrated Chinese Adapted Risk Evaluation for Diabetes Mellitus(iCARE-DM)model for elderly Chinese individuals.Methods:The iCARE-DM model was developed based on pooled effect estimates from a meta-analysis of cohort studies that identified T2DM risk factors in East Asian populations and validated in three multicenter Chinese populations.Predictive performance was evaluated using area under the curve(AUC),sensitivity,specificity,accuracy,log-rank tests,and compared with the guideline-recommended model(i.e.,New Chinese Diabetes Risk Score,NCDRS)as well as four machine learning(ML)models.Results:The iCARE-DM model achieved AUC values of 0.741,0.783,and 0.766,outperforming the NCDRS model by at least 12%.Although the bestperforming ML model achieved AUC values comparable to the iCARE-DM model,its performance varied significantly across populations(with a range as high as 9%).Subgroup analyses of the iCARE-DM model confirmed consistent performance across age,gender and rural-urban groups.Conclusion:The iCARE-DM model demonstrated higher accuracy than the NCDRS model and exhibited superior robustness and generalizability compared to the ML models.The iCARE-DM model provides a robust,culturally adapted tool for T2DM risk assessment in elderly Chinese individuals.
基金Supported by the National Key Research and Development Program of China(2018YFB0504905 and 2018YFB0504900)。
文摘The visible infrared radiometer(VIRR)is the first instrument with longest measurements equipped on the Fengyun(FY)polar-orbiting satellites.Through re-processing of the historic VIRR measurements,long-term(over 20 yr)global data can be integrated from multiple participating VIRRs on a consistent radiometric scale,which are valuable to climate and climate change studies.Due to lack of an onboard calibration system for VIRR,the reflective solar bands must be vicariously calibrated.This study applied the multi-site vicarious approach for consistent calibration of the VIRR visible(VIS)and near-infrared(NIR)data,and produced calibration coefficients for five VIRRs on FY-1 C/D and FY-3 A/B/C.The data quality was then evaluated with observations.The reflectance predicted by using the radiative transfer model over multiple invariant desert and ocean targets was used to derive the calibration slope via a weighted fitting scheme,in which the weights are the inverse of the variance from a radiative transfer simulation evaluated with reference to Aqua moderate resolution imaging spectroradiometer(MODIS).The sensor-specific calibration coefficients were derived on a daily basis by using piecewise polynomials.The calibration reference of the VIRR solar band record was further traced to the Aqua MODIS Collection 6.1 reference calibration with a systematic correction derived from the Libya4 desert.The VIRR record was compared with the Aqua MODIS C6.1 calibration over the polar region based on simultaneous nadir overpass observations.The lifetime relative difference for each sensor are within 3.3%and 4.5%for channels 1 and 2.Invariant deserts were also employed to evaluate the stability and consistency of the VIRR record.In general,the means of the directional and spectral corrected reflectance for each sensor are within 1%of the 20-yr average,implying that the VIRR reflectance of the invariant targets is consistent to within 1%among the sensors for channels 1 and 2.The VIRR data thus derived are reliable.
基金Supported by National Natural Science Foundation of China(11503078,11573060,11673060,11661161010)。
文摘It was found that dark matter(DM) in an intermediate-mass-ratio-inspiral(IMRI) system has a significant enhancement effect on the orbital eccentricity of a stellar massive compact object, such as a black hole(BH),which may be tested by space-based gravitational wave(GW) detectors, including LISA, Taiji, and Tianqin in future observations. In this paper, we study the enhancement effect of the eccentricity for an IMRI under different DM density profiles and center BH masses. Our results are as follows:(1) in terms of the general DM spike distribution,the enhancement of the eccentricity is basically consistent with the power-law profile, which indicates that it is reasonable to adopt the power-law profile;(2) in the presence of a DM spike, the different masses of the center BH will affect the eccentricity, which provides a new way for us to detect the BH’s mass;and(3) considering the change in the eccentricity in the presence and absence of a DM spike, we find that it is possible to distinguish DM models by measuring the eccentricity at a scale of approximately 105 GM/c2.
