The quantitative structure-property relationship(QSPR) of anabolic androgenic steroids was studied on the half-wave reduction potential(E1/2) using quantum and physico-chemical molecular descriptors. The descriptors w...The quantitative structure-property relationship(QSPR) of anabolic androgenic steroids was studied on the half-wave reduction potential(E1/2) using quantum and physico-chemical molecular descriptors. The descriptors were calculated by semi-empirical calculations. Models were established using partial least square(PLS) regression and back-propagation artificial neural network(BP-ANN). The QSPR results indicate that the descriptors of these derivatives have significant relationship with half-wave reduction potential. The stability and prediction ability of these models were validated using leave-one-out cross-validation and external test set.展开更多
China-ADS project, a continuous wave (CW) proton accelerator and aims to design and build an ADS demonstration facility has been proposed and launched actively in China. HWR ( =0.10) superconducting cavity with freque...China-ADS project, a continuous wave (CW) proton accelerator and aims to design and build an ADS demonstration facility has been proposed and launched actively in China. HWR ( =0.10) superconducting cavity with frequency of 162.5 MHz is applied to one of the parallel injectors prompted by Institute of Modern Physics (IMP)[1].展开更多
BACKGROUND Red blood cell distribution width(RDW)is associated with the development and progression of various diseases.AIM To explore the association between pretreatment RDW and short-term outcomes after laparoscopi...BACKGROUND Red blood cell distribution width(RDW)is associated with the development and progression of various diseases.AIM To explore the association between pretreatment RDW and short-term outcomes after laparoscopic pancreatoduodenectomy(LPD).METHODS A total of 804 consecutive patients who underwent LPD at our hospital between March 2017 and November 2021 were retrospectively analyzed.Correlations between pretreatment RDW and clinicopathological characteristics and short-term outcomes were investigated.RESULTS Patients with higher pretreatment RDW were older,had higher Eastern Cooperative Oncology Group scores and were associated with poorer short-term outcomes than those with normal RDW.High pretreatment RDW was an independent risk factor for postoperative complications(POCs)(hazard ratio=2.973,95%confidence interval:2.032-4.350,P<0.001)and severe POCs of grade IIIa or higher(hazard ratio=3.138,95%confidence interval:2.042-4.824,P<0.001)based on the Clavien-Dino classification system.Subgroup analysis showed that high pretreatment RDW was an independent risk factor for Clavien-Dino classi-fication grade IIIb or higher POCs,a comprehensive complication index score≥26.2,severe postoperative pancreatic fistula,severe bile leakage and severe hemorrhage.High pretreatment RDW was positively associated with the neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio and was negatively associated with albumin and the prognostic nutritional index.CONCLUSION Pretreatment RDW was a special parameter for patients who underwent LPD.It was associated with malnutrition,severe inflammatory status and poorer short-term outcomes.RDW could be a surrogate marker for nutritional and inflammatory status in identifying patients who were at high risk of developing POCs after LPD.展开更多
The minimal widths of three bounded subsets of the unit sphere associated to a unit vector in a normed linear space are studied,and three related geometric constants are introduced.New characterizations of inner produ...The minimal widths of three bounded subsets of the unit sphere associated to a unit vector in a normed linear space are studied,and three related geometric constants are introduced.New characterizations of inner product spaces are also presented.From the perspective of minimal width,strongε-symmetry of Birkhoff orthogonality is introduced,and its relation toε-symmetry of Birkhoff orthogonality is shown.Unlike most of the existing parameters of the underlying space,these new constants are full dimensional in nature.展开更多
Intracranial aneurysm(IA)is a prevalent cerebrovascular disease associated with high mortality and disability rates upon rupture.The hemodynamics of IA,which are significantly influenced by geometric parameters,direct...Intracranial aneurysm(IA)is a prevalent cerebrovascular disease associated with high mortality and disability rates upon rupture.The hemodynamics of IA,which are significantly influenced by geometric parameters,directly impact its rupture.This study focuses on investigating the transient flow characteristics in saccular IA models fabricated using a water droplet-based method,specifically examining the influence of neck widths.Particle image velocimetry technique and numerical simulation were employed to investigate the dynamic evolution of flow structures within three IA models.The results reveal that neck width(W)has a substantial effect on flow characteristics in the neck region,subsequently impacting the deep flow inside the sac.Three distinct patterns were observed during flow evolution inside the sac:for W=2 mm,two vortices occur and then disappear with relatively low average flow velocity;for W=4 mm,enhanced effects of a high-speed jet result in periodic pulsatile flow velocity distribution while maintaining stable vortex core position;for W=6 mm,significant changes in flow velocity occur due to size expansion and intensity increase of vortices.These findings demonstrate that neck widths play a complex role in influencing transient flow characteristics within IAs.Overall,this research contributes to further understanding transient flow behaviors in IAs.展开更多
BACKGROUND Post-hepatectomy liver failure(PHLF)after liver resection is one of the main complications causing postoperative death in patients with hepatocellular carcinoma(HCC).It is crucial to help clinicians identif...BACKGROUND Post-hepatectomy liver failure(PHLF)after liver resection is one of the main complications causing postoperative death in patients with hepatocellular carcinoma(HCC).It is crucial to help clinicians identify potential high-risk PHLF patients as early as possible through preoperative evaluation.AIM To identify risk factors for PHLF and develop a prediction model.METHODS This study included 248 patients with HCC at The Second Affiliated Hospital of Air Force Medical University between January 2014 and December 2023;these patients were divided into a training group(n=164)and a validation group(n=84)via random sampling.The independent variables for the occurrence of PHLF were identified by univariate and multivariate analyses and visualized as nomograms.Ultimately,comparisons were made with traditional models via receiver operating characteristic(ROC)curves,calibration curves,and decision curve analysis(DCA).RESULTS In this study,portal vein width[odds ratio(OR)=1.603,95%CI:1.288-1.994,P≤0.001],the preoperative neutrophil-to-lymphocyte ratio(NLR)(OR=1.495,95%CI:1.126-1.984,P=0.005),and the albumin-bilirubin(ALBI)score(OR=8.868,95%CI:2.144-36.678,P=0.003)were independent risk factors for PHLF.A nomogram prediction model was developed using these factors.ROC and DCA analyses revealed that the predictive efficacy and clinical value of this model were better than those of traditional models.CONCLUSION A new Nomogram model for predicting PHLF in HCC patients was successfully established based on portal vein width,the NLR,and the ALBI score,which outperforms the traditional model.展开更多
BACKGROUND As red blood cell distribution width(RDW)and albumin have been shown to be independent predictors of mortality from various diseases,this study aimed to investigate the effect of the RDW to albumin ratio(RA...BACKGROUND As red blood cell distribution width(RDW)and albumin have been shown to be independent predictors of mortality from various diseases,this study aimed to investigate the effect of the RDW to albumin ratio(RA)as an independent predictor of the prognosis of patients admitted to the coronary care unit(CCU).AIM To use the RDW and albumin level to predict the prognosis of patients in the CCU.METHODS Data were obtained from the Medical Information Mart Intensive Care III database.The primary outcome was 365-day all-cause mortality,whereas the secondary outcomes were 30-and 90-day all-cause mortality,hospital length of stay(LOS),and CCU LOS.Cox proportional hazards regression model,propen-sity score matching,and receiver operating characteristic curve analyses were used.RESULTS The hazard ratio(95%confidence interval)of the upper tertile(RA>4.66)was 1.62(1.29 to 2.03)when compared with the reference(RA<3.84)in 365-day all-cause mortality.This trend persisted after adjusting for demographic and clinical variables in the propensity score-matching analysis.Similar trends were observed for the secondary outcomes of hospital and CCU LOS.Receiver operating characteristic curve analysis was performed by combining the RA and sequential organ failure assessment(SOFA)scores,and the C-statistic was higher than that of the SOFA scores(0.733 vs 0.702,P<0.001).CONCLUSION RA is an independent prognostic factor in patients admitted to the CCU.RA combined with the SOFA score can improve the predictive ability of the SOFA score.However,our results should be verified in future prospective studies.展开更多
Accurate prediction of strip width is a key factor related to the quality of hot rolling manufacture.Firstly,based on strip width formation mechanism model within strip rolling process,an improved width mechanism calc...Accurate prediction of strip width is a key factor related to the quality of hot rolling manufacture.Firstly,based on strip width formation mechanism model within strip rolling process,an improved width mechanism calculation model is delineated for the optimization of process parameters via the particle swarm optimization algorithm.Subsequently,a hybrid strip width prediction model is proposed by effectively combining the respective advantages of the improved mechanism model and the data-driven model.In acknowledgment of prerequisite for positive error in strip width prediction,an adaptive width error compensation algorithm is proposed.Finally,comparative simulation experiments are designed on the actual rolling dataset after completing data cleaning and feature engineering.The experimental results show that the hybrid prediction model proposed has superior precision and robustness compared with the improved mechanism model and the other eight common data-driven models and satisfies the needs of practical applications.Moreover,the hybrid model can realize the complementary advantages of the mechanism model and the data-driven model,effectively alleviating the problems of difficult to improve the accuracy of the mechanism model and poor interpretability of the data-driven model,which bears significant practical implications for the research of strip width control.展开更多
To cater the need for real-time crack monitoring of infrastructural facilities,a CNN-regression model is proposed to directly estimate the crack properties from patches.RGB crack images and their corresponding masks o...To cater the need for real-time crack monitoring of infrastructural facilities,a CNN-regression model is proposed to directly estimate the crack properties from patches.RGB crack images and their corresponding masks obtained from a public dataset are cropped into patches of 256 square pixels that are classified with a pre-trained deep convolution neural network,the true positives are segmented,and crack properties are extracted using two different methods.The first method is primarily based on active contour models and level-set segmentation and the second method consists of the domain adaptation of a mathematical morphology-based method known as FIL-FINDER.A statistical test has been performed for the comparison of the stated methods and a database prepared with the more suitable method.An advanced convolution neural network-based multi-output regression model has been proposed which was trained with the prepared database and validated with the held-out dataset for the prediction of crack-length,crack-width,and width-uncertainty directly from input image patches.The pro-posed model has been tested on crack patches collected from different locations.Huber loss has been used to ensure the robustness of the proposed model selected from a set of 288 different variations of it.Additionally,an ablation study has been conducted on the top 3 models that demonstrated the influence of each network component on the pre-diction results.Finally,the best performing model HHc-X among the top 3 has been proposed that predicted crack properties which are in close agreement to the ground truths in the test data.展开更多
Background:Early detection of Bone Mineral Density(BMD)loss is critical for identifying individuals at increased risk of osteoporosis and related fractures,particularly in vulnerable populations.Aim:This study aimed t...Background:Early detection of Bone Mineral Density(BMD)loss is critical for identifying individuals at increased risk of osteoporosis and related fractures,particularly in vulnerable populations.Aim:This study aimed to evaluate the correlation between Hemoglobin(Hb),Red cell Distribution Width(RDW),and Homocysteine(Hcy)levels and BMD in elderly male patients diagnosed with Type 2 Diabetes Mellitus(T2DM).Methods:A total of 208 male patients with T2DM,who were hospitalized in the Endocrinology Department of Yuncheng Central Hospital,between January 2020 and December 2023,were included in the study.Based on their BMD measurements,the patients were categorized into three groups:normal bone mass(control,n=64),osteopenia(n=92),and osteoporosis(n=52).After adjusting for some potential confounding factors,inter-group comparisons and correlation analyses were conducted to assess the relationships between Hb,RDW,and Hcy levels and BMD.Results:The prevalence of osteoporosis in T2DM patients with anemia was nearly twice as high as that in the control group.Compared to the normal bone mass group,the osteoporosis group showed a significant reduction in plasma Hb levels by 8.8%±1.1%,along with significant increases in RDW and Hcy levels by 15.7%±1.2%and 18.2%±2.2%,respectively(all P<0.001).Univariate logistic regression analysis revealed that Hb was negatively correlated with BMD loss(P<0.001),whereas RDW and Hcy were positively correlated with BMD loss(all P<0.001)in the total hip and femoral neck.Conclusions:These univariate logistic analyses suggest that changes in these hematologic indices may serve not only as markers of bone health but also as potential predictors of the progression of diabetes-related complications,including BMD loss and fracture risk.展开更多
A self-pulsed Tm:GdScO_(3)laser was experimentally demonstrated by using a compact linear resonant cavity.When the pump power was 19.6 W,an average output power of 1771 m W was achieved from the self-pulsed Tm:GdScO_(...A self-pulsed Tm:GdScO_(3)laser was experimentally demonstrated by using a compact linear resonant cavity.When the pump power was 19.6 W,an average output power of 1771 m W was achieved from the self-pulsed Tm:GdScO_(3)laser with a pulse width of 158.1 ns and a pulse repetition frequency of 112.8 kHz,corresponding to an optical-to-optical conversion efficiency of 9.0%.Moreover,a single pulse energy of 15.7μJ and a pulse peak power of 99.3 W were acquired from the self-pulsed Tm:GdScO_(3)laser.This is,as we know,the first time that the self-pulsed laser output at 2-μm waveband range was obtained by utilizing a Tm:GdScO_(3)crystal so far.展开更多
BACKGROUND The hemoglobin-to-red cell distribution width ratio(HRR)is a recently intro-duced,easily accessible marker that provides insights into inflammation and the tumor vascular microenvironment.It has been sugges...BACKGROUND The hemoglobin-to-red cell distribution width ratio(HRR)is a recently intro-duced,easily accessible marker that provides insights into inflammation and the tumor vascular microenvironment.It has been suggested to have prognostic value for overall survival in various types of cancer,including urothelial carcinoma,lung cancer,and hepatocellular carcinoma.It has not yet been sufficiently invest-igated in colorectal cancers(CRC).AIM To investigate the prognostic significance of the HRR and other inflammation-based hematological markers in patients with metastatic CRC.Additionally,the study evaluated the impact of surgical interventions,particularly metastasectomy,and multiple clinical and laboratory parameters on overall survival.By iden-tifying low-cost,accessible prognostic indicators,this research seeks to support clinicians in optimizing treatment strategies and risk stratification for patients with CRC.METHODS In this retrospective study,patients diagnosed with CRC between January 2020 and December 2024 were analyzed.The impact of HRR in conjunction with inflammatory markers and a total of 22 different clinical and laboratory para-meters on overall survival were evaluated using univariate Cox regression and a multivariate model.Survival curves were visualized using Kaplan-Meier analysis.RESULTS A total of 155 patients with CRC were included in the study.The median age was 60 years,and 61.9%presented with de novo metastasis.In the receiver operating characteristic curve and area under the curve analysis performed to determine the optimal cutoff,the values were found to be 6.10 for carcinoembryonic antigen(CEA)(P=0.036),18.85 for platelet-to-red cell distribution width ratio(P=0.028),and 10.87 for platelet distribution width-to-lymphocyte ratio(P=0.028).For neutrophil-to-lymphocyte ratio,systemic immune-inflammation index(SII),platelet-to-lymphocyte ratio(PLR),monocyte-to-lymphocyte ratio,HRR,and carbohydrate antigen 19-9,an optimal cutoff could not be determined using the receiver operating characteristic-area under the curve analysis.Therefore,the median values were adopted as the cutoffs(3.09,835.96,177.50,0.380,0.824,and 21.6,respectively).Univariate analysis identified male gender(P=0.045),being under 65 years of age(P=0.001),history of metastas-ectomy(P=0.001),low serum CEA level(P=0.010),low PLR(P=0.024),low SII(P=0.010),and high HRR(P=0.025)as favorable prognostic factors for overall survival.In the multivariate model,being under 65 years of age[hazard ratio(HR)=1.59,95%confidence interval(CI):1.06-2.39,P=0.025],metastasectomy(HR=0.49,95%CI:0.29-0.85,P=0.011),CEA(HR=1.51,95%CI:1.0-2.28,P=0.048),and PLR(HR=1.63,95%CI:1.09-2.44,P=0.018)emerged as independent prognostic factors for overall survival,whereas gender,SII,and HRR did not retain statistical significance.CONCLUSION In conclusion,low HRR alone was a prognostic indicator.However,when modelled with other inflammatory and clinical parameters,it did not provide a sufficiently strong marker feature.展开更多
AIM:To assess and compare the utility of neutrophil-to-lymphocyte ratio(NLR),platelet-to-lymphocyte ratio(PLR),systemic inflammation index(SII),and red blood cell distribution width(RDW)as potential biomarkers to pred...AIM:To assess and compare the utility of neutrophil-to-lymphocyte ratio(NLR),platelet-to-lymphocyte ratio(PLR),systemic inflammation index(SII),and red blood cell distribution width(RDW)as potential biomarkers to predict the severity of diabetic retinopathy(DR)in the United States population.METHODS:The observational study enlisted patients diagnosed with DR from the National Health and Nutrition Examination Survey(NHANES)database,spanning the period from 2005 to 2008.The severity of DR was defined according to Early Treatment for Diabetic Retinopathy Study(ETDRs).The effect of NLR,PLR,SII,and RDW on proliferative diabetic retinopathy(PDR)were explored using multivariable logistic regression analysis model.Subgroup analysis and restricted cubic splines(RCS)were conducted to assess the robustness of the correlations across subgroups and to explore nonlinear relationships between four indices and PDR.The receiver operating characteristic(ROC)analysis was employed for the purpose of assessing and evaluating the predictive efficacy of NLR,PLR,SII,and RDW in determining the severity of DR.RESULTS:After adjusting for other confounders(age,gender,race,body mass index,diabetes duration,and HbA1c)in multivariable analysis,a unit increase of PLR×0.1,SII×0.01,and RDW would raise the risk for PDR by 15.6%,22.2%,and 33%,respectively.Particularly,there was a 2.208-fold greater risk of PDR in individuals with an elevated NLR(OR=2.208,95%CI,1.348-3.617,P<0.001).RCS analyses showed positive relationships of four indices and PDR after segmented regression based on their own turning points.The results of ROC analysis revealed that PLR+RDW[area under the curve(AUC)=0.772,95%CI:0.669-0.874]had the best predictive value for PDR,compared with NLR+PLR+SII(AUC=0.697,95%CI:0.570-0.825)or RDW alone(AUC=0.736,95%CI:0.646-0.826).CONCLUSION:The combination of RDW and NLR demonstrates a promising ability to predict the severity of DR across the United States population,and it could be promisingly used in clinics for monitoring the progress of DR.展开更多
基金Project supported by the Postdoctoral Science Foundation of Central South University,ChinaProject(2015SK20823)supported by Science and Technology Project of Hunan Province,China+2 种基金Project(15A001)supported by Scientific Research Fund of Hunan Provincial Education Department,ChinaProject(CX2015B372)supported by Hunan Provincial Innovation Foundation for Postgraduate,ChinaProject supported by Innovation Experiment Program for University Students of Changsha University of Science and Technology,China
文摘The quantitative structure-property relationship(QSPR) of anabolic androgenic steroids was studied on the half-wave reduction potential(E1/2) using quantum and physico-chemical molecular descriptors. The descriptors were calculated by semi-empirical calculations. Models were established using partial least square(PLS) regression and back-propagation artificial neural network(BP-ANN). The QSPR results indicate that the descriptors of these derivatives have significant relationship with half-wave reduction potential. The stability and prediction ability of these models were validated using leave-one-out cross-validation and external test set.
文摘China-ADS project, a continuous wave (CW) proton accelerator and aims to design and build an ADS demonstration facility has been proposed and launched actively in China. HWR ( =0.10) superconducting cavity with frequency of 162.5 MHz is applied to one of the parallel injectors prompted by Institute of Modern Physics (IMP)[1].
基金Supported by the National Natural Science Foundation of China,No.81302124.
文摘BACKGROUND Red blood cell distribution width(RDW)is associated with the development and progression of various diseases.AIM To explore the association between pretreatment RDW and short-term outcomes after laparoscopic pancreatoduodenectomy(LPD).METHODS A total of 804 consecutive patients who underwent LPD at our hospital between March 2017 and November 2021 were retrospectively analyzed.Correlations between pretreatment RDW and clinicopathological characteristics and short-term outcomes were investigated.RESULTS Patients with higher pretreatment RDW were older,had higher Eastern Cooperative Oncology Group scores and were associated with poorer short-term outcomes than those with normal RDW.High pretreatment RDW was an independent risk factor for postoperative complications(POCs)(hazard ratio=2.973,95%confidence interval:2.032-4.350,P<0.001)and severe POCs of grade IIIa or higher(hazard ratio=3.138,95%confidence interval:2.042-4.824,P<0.001)based on the Clavien-Dino classification system.Subgroup analysis showed that high pretreatment RDW was an independent risk factor for Clavien-Dino classi-fication grade IIIb or higher POCs,a comprehensive complication index score≥26.2,severe postoperative pancreatic fistula,severe bile leakage and severe hemorrhage.High pretreatment RDW was positively associated with the neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio and was negatively associated with albumin and the prognostic nutritional index.CONCLUSION Pretreatment RDW was a special parameter for patients who underwent LPD.It was associated with malnutrition,severe inflammatory status and poorer short-term outcomes.RDW could be a surrogate marker for nutritional and inflammatory status in identifying patients who were at high risk of developing POCs after LPD.
基金supported by the National Natural Science Foundation of China(12071444,12201581)the Fundamental Research Program of Shanxi Province of China(202103021223191).
文摘The minimal widths of three bounded subsets of the unit sphere associated to a unit vector in a normed linear space are studied,and three related geometric constants are introduced.New characterizations of inner product spaces are also presented.From the perspective of minimal width,strongε-symmetry of Birkhoff orthogonality is introduced,and its relation toε-symmetry of Birkhoff orthogonality is shown.Unlike most of the existing parameters of the underlying space,these new constants are full dimensional in nature.
基金supported by the National Natural Science Foundation of China(Grant Nos.12172017 and 11872083)Project of Beijing Municipal Education Commission(Grant Nos.KZ202210005006 and KZ202110005007).
文摘Intracranial aneurysm(IA)is a prevalent cerebrovascular disease associated with high mortality and disability rates upon rupture.The hemodynamics of IA,which are significantly influenced by geometric parameters,directly impact its rupture.This study focuses on investigating the transient flow characteristics in saccular IA models fabricated using a water droplet-based method,specifically examining the influence of neck widths.Particle image velocimetry technique and numerical simulation were employed to investigate the dynamic evolution of flow structures within three IA models.The results reveal that neck width(W)has a substantial effect on flow characteristics in the neck region,subsequently impacting the deep flow inside the sac.Three distinct patterns were observed during flow evolution inside the sac:for W=2 mm,two vortices occur and then disappear with relatively low average flow velocity;for W=4 mm,enhanced effects of a high-speed jet result in periodic pulsatile flow velocity distribution while maintaining stable vortex core position;for W=6 mm,significant changes in flow velocity occur due to size expansion and intensity increase of vortices.These findings demonstrate that neck widths play a complex role in influencing transient flow characteristics within IAs.Overall,this research contributes to further understanding transient flow behaviors in IAs.
基金Supported by Shaanxi Provincial Social Development Fund,No.2024SF-YBXM-140.
文摘BACKGROUND Post-hepatectomy liver failure(PHLF)after liver resection is one of the main complications causing postoperative death in patients with hepatocellular carcinoma(HCC).It is crucial to help clinicians identify potential high-risk PHLF patients as early as possible through preoperative evaluation.AIM To identify risk factors for PHLF and develop a prediction model.METHODS This study included 248 patients with HCC at The Second Affiliated Hospital of Air Force Medical University between January 2014 and December 2023;these patients were divided into a training group(n=164)and a validation group(n=84)via random sampling.The independent variables for the occurrence of PHLF were identified by univariate and multivariate analyses and visualized as nomograms.Ultimately,comparisons were made with traditional models via receiver operating characteristic(ROC)curves,calibration curves,and decision curve analysis(DCA).RESULTS In this study,portal vein width[odds ratio(OR)=1.603,95%CI:1.288-1.994,P≤0.001],the preoperative neutrophil-to-lymphocyte ratio(NLR)(OR=1.495,95%CI:1.126-1.984,P=0.005),and the albumin-bilirubin(ALBI)score(OR=8.868,95%CI:2.144-36.678,P=0.003)were independent risk factors for PHLF.A nomogram prediction model was developed using these factors.ROC and DCA analyses revealed that the predictive efficacy and clinical value of this model were better than those of traditional models.CONCLUSION A new Nomogram model for predicting PHLF in HCC patients was successfully established based on portal vein width,the NLR,and the ALBI score,which outperforms the traditional model.
文摘BACKGROUND As red blood cell distribution width(RDW)and albumin have been shown to be independent predictors of mortality from various diseases,this study aimed to investigate the effect of the RDW to albumin ratio(RA)as an independent predictor of the prognosis of patients admitted to the coronary care unit(CCU).AIM To use the RDW and albumin level to predict the prognosis of patients in the CCU.METHODS Data were obtained from the Medical Information Mart Intensive Care III database.The primary outcome was 365-day all-cause mortality,whereas the secondary outcomes were 30-and 90-day all-cause mortality,hospital length of stay(LOS),and CCU LOS.Cox proportional hazards regression model,propen-sity score matching,and receiver operating characteristic curve analyses were used.RESULTS The hazard ratio(95%confidence interval)of the upper tertile(RA>4.66)was 1.62(1.29 to 2.03)when compared with the reference(RA<3.84)in 365-day all-cause mortality.This trend persisted after adjusting for demographic and clinical variables in the propensity score-matching analysis.Similar trends were observed for the secondary outcomes of hospital and CCU LOS.Receiver operating characteristic curve analysis was performed by combining the RA and sequential organ failure assessment(SOFA)scores,and the C-statistic was higher than that of the SOFA scores(0.733 vs 0.702,P<0.001).CONCLUSION RA is an independent prognostic factor in patients admitted to the CCU.RA combined with the SOFA score can improve the predictive ability of the SOFA score.However,our results should be verified in future prospective studies.
基金supported by the National Natural Science Foundation of China(No.62273234)Key Research and Development Program of Shaanxi(Program No.2022GY-306)Technology Innovation Leading Program of Shaanxi(Program No.2022QFY01-16).
文摘Accurate prediction of strip width is a key factor related to the quality of hot rolling manufacture.Firstly,based on strip width formation mechanism model within strip rolling process,an improved width mechanism calculation model is delineated for the optimization of process parameters via the particle swarm optimization algorithm.Subsequently,a hybrid strip width prediction model is proposed by effectively combining the respective advantages of the improved mechanism model and the data-driven model.In acknowledgment of prerequisite for positive error in strip width prediction,an adaptive width error compensation algorithm is proposed.Finally,comparative simulation experiments are designed on the actual rolling dataset after completing data cleaning and feature engineering.The experimental results show that the hybrid prediction model proposed has superior precision and robustness compared with the improved mechanism model and the other eight common data-driven models and satisfies the needs of practical applications.Moreover,the hybrid model can realize the complementary advantages of the mechanism model and the data-driven model,effectively alleviating the problems of difficult to improve the accuracy of the mechanism model and poor interpretability of the data-driven model,which bears significant practical implications for the research of strip width control.
文摘To cater the need for real-time crack monitoring of infrastructural facilities,a CNN-regression model is proposed to directly estimate the crack properties from patches.RGB crack images and their corresponding masks obtained from a public dataset are cropped into patches of 256 square pixels that are classified with a pre-trained deep convolution neural network,the true positives are segmented,and crack properties are extracted using two different methods.The first method is primarily based on active contour models and level-set segmentation and the second method consists of the domain adaptation of a mathematical morphology-based method known as FIL-FINDER.A statistical test has been performed for the comparison of the stated methods and a database prepared with the more suitable method.An advanced convolution neural network-based multi-output regression model has been proposed which was trained with the prepared database and validated with the held-out dataset for the prediction of crack-length,crack-width,and width-uncertainty directly from input image patches.The pro-posed model has been tested on crack patches collected from different locations.Huber loss has been used to ensure the robustness of the proposed model selected from a set of 288 different variations of it.Additionally,an ablation study has been conducted on the top 3 models that demonstrated the influence of each network component on the pre-diction results.Finally,the best performing model HHc-X among the top 3 has been proposed that predicted crack properties which are in close agreement to the ground truths in the test data.
基金supported by the Scientific research project of the Health Commission of Shanxi Province,P.R.China(No:2023032).
文摘Background:Early detection of Bone Mineral Density(BMD)loss is critical for identifying individuals at increased risk of osteoporosis and related fractures,particularly in vulnerable populations.Aim:This study aimed to evaluate the correlation between Hemoglobin(Hb),Red cell Distribution Width(RDW),and Homocysteine(Hcy)levels and BMD in elderly male patients diagnosed with Type 2 Diabetes Mellitus(T2DM).Methods:A total of 208 male patients with T2DM,who were hospitalized in the Endocrinology Department of Yuncheng Central Hospital,between January 2020 and December 2023,were included in the study.Based on their BMD measurements,the patients were categorized into three groups:normal bone mass(control,n=64),osteopenia(n=92),and osteoporosis(n=52).After adjusting for some potential confounding factors,inter-group comparisons and correlation analyses were conducted to assess the relationships between Hb,RDW,and Hcy levels and BMD.Results:The prevalence of osteoporosis in T2DM patients with anemia was nearly twice as high as that in the control group.Compared to the normal bone mass group,the osteoporosis group showed a significant reduction in plasma Hb levels by 8.8%±1.1%,along with significant increases in RDW and Hcy levels by 15.7%±1.2%and 18.2%±2.2%,respectively(all P<0.001).Univariate logistic regression analysis revealed that Hb was negatively correlated with BMD loss(P<0.001),whereas RDW and Hcy were positively correlated with BMD loss(all P<0.001)in the total hip and femoral neck.Conclusions:These univariate logistic analyses suggest that changes in these hematologic indices may serve not only as markers of bone health but also as potential predictors of the progression of diabetes-related complications,including BMD loss and fracture risk.
基金Project supported by the Key Research and Development Plan of Xinjiang Uygur Autonomous Region,China(Grant Nos.2022B01040 and 2022B01040-2)the Key Project of Heilongjiang Natural Science Foundation(Grant No.ZD2021F002)。
文摘A self-pulsed Tm:GdScO_(3)laser was experimentally demonstrated by using a compact linear resonant cavity.When the pump power was 19.6 W,an average output power of 1771 m W was achieved from the self-pulsed Tm:GdScO_(3)laser with a pulse width of 158.1 ns and a pulse repetition frequency of 112.8 kHz,corresponding to an optical-to-optical conversion efficiency of 9.0%.Moreover,a single pulse energy of 15.7μJ and a pulse peak power of 99.3 W were acquired from the self-pulsed Tm:GdScO_(3)laser.This is,as we know,the first time that the self-pulsed laser output at 2-μm waveband range was obtained by utilizing a Tm:GdScO_(3)crystal so far.
文摘BACKGROUND The hemoglobin-to-red cell distribution width ratio(HRR)is a recently intro-duced,easily accessible marker that provides insights into inflammation and the tumor vascular microenvironment.It has been suggested to have prognostic value for overall survival in various types of cancer,including urothelial carcinoma,lung cancer,and hepatocellular carcinoma.It has not yet been sufficiently invest-igated in colorectal cancers(CRC).AIM To investigate the prognostic significance of the HRR and other inflammation-based hematological markers in patients with metastatic CRC.Additionally,the study evaluated the impact of surgical interventions,particularly metastasectomy,and multiple clinical and laboratory parameters on overall survival.By iden-tifying low-cost,accessible prognostic indicators,this research seeks to support clinicians in optimizing treatment strategies and risk stratification for patients with CRC.METHODS In this retrospective study,patients diagnosed with CRC between January 2020 and December 2024 were analyzed.The impact of HRR in conjunction with inflammatory markers and a total of 22 different clinical and laboratory para-meters on overall survival were evaluated using univariate Cox regression and a multivariate model.Survival curves were visualized using Kaplan-Meier analysis.RESULTS A total of 155 patients with CRC were included in the study.The median age was 60 years,and 61.9%presented with de novo metastasis.In the receiver operating characteristic curve and area under the curve analysis performed to determine the optimal cutoff,the values were found to be 6.10 for carcinoembryonic antigen(CEA)(P=0.036),18.85 for platelet-to-red cell distribution width ratio(P=0.028),and 10.87 for platelet distribution width-to-lymphocyte ratio(P=0.028).For neutrophil-to-lymphocyte ratio,systemic immune-inflammation index(SII),platelet-to-lymphocyte ratio(PLR),monocyte-to-lymphocyte ratio,HRR,and carbohydrate antigen 19-9,an optimal cutoff could not be determined using the receiver operating characteristic-area under the curve analysis.Therefore,the median values were adopted as the cutoffs(3.09,835.96,177.50,0.380,0.824,and 21.6,respectively).Univariate analysis identified male gender(P=0.045),being under 65 years of age(P=0.001),history of metastas-ectomy(P=0.001),low serum CEA level(P=0.010),low PLR(P=0.024),low SII(P=0.010),and high HRR(P=0.025)as favorable prognostic factors for overall survival.In the multivariate model,being under 65 years of age[hazard ratio(HR)=1.59,95%confidence interval(CI):1.06-2.39,P=0.025],metastasectomy(HR=0.49,95%CI:0.29-0.85,P=0.011),CEA(HR=1.51,95%CI:1.0-2.28,P=0.048),and PLR(HR=1.63,95%CI:1.09-2.44,P=0.018)emerged as independent prognostic factors for overall survival,whereas gender,SII,and HRR did not retain statistical significance.CONCLUSION In conclusion,low HRR alone was a prognostic indicator.However,when modelled with other inflammatory and clinical parameters,it did not provide a sufficiently strong marker feature.
基金Supported by Tianjin Natural Science Foundation(No.23JCZXJC00140).
文摘AIM:To assess and compare the utility of neutrophil-to-lymphocyte ratio(NLR),platelet-to-lymphocyte ratio(PLR),systemic inflammation index(SII),and red blood cell distribution width(RDW)as potential biomarkers to predict the severity of diabetic retinopathy(DR)in the United States population.METHODS:The observational study enlisted patients diagnosed with DR from the National Health and Nutrition Examination Survey(NHANES)database,spanning the period from 2005 to 2008.The severity of DR was defined according to Early Treatment for Diabetic Retinopathy Study(ETDRs).The effect of NLR,PLR,SII,and RDW on proliferative diabetic retinopathy(PDR)were explored using multivariable logistic regression analysis model.Subgroup analysis and restricted cubic splines(RCS)were conducted to assess the robustness of the correlations across subgroups and to explore nonlinear relationships between four indices and PDR.The receiver operating characteristic(ROC)analysis was employed for the purpose of assessing and evaluating the predictive efficacy of NLR,PLR,SII,and RDW in determining the severity of DR.RESULTS:After adjusting for other confounders(age,gender,race,body mass index,diabetes duration,and HbA1c)in multivariable analysis,a unit increase of PLR×0.1,SII×0.01,and RDW would raise the risk for PDR by 15.6%,22.2%,and 33%,respectively.Particularly,there was a 2.208-fold greater risk of PDR in individuals with an elevated NLR(OR=2.208,95%CI,1.348-3.617,P<0.001).RCS analyses showed positive relationships of four indices and PDR after segmented regression based on their own turning points.The results of ROC analysis revealed that PLR+RDW[area under the curve(AUC)=0.772,95%CI:0.669-0.874]had the best predictive value for PDR,compared with NLR+PLR+SII(AUC=0.697,95%CI:0.570-0.825)or RDW alone(AUC=0.736,95%CI:0.646-0.826).CONCLUSION:The combination of RDW and NLR demonstrates a promising ability to predict the severity of DR across the United States population,and it could be promisingly used in clinics for monitoring the progress of DR.
