Flood disasters can have a serious impact on people's production and lives, and can cause hugelosses in lives and property security. Based on multi-source remote sensing data, this study establisheddecision tree c...Flood disasters can have a serious impact on people's production and lives, and can cause hugelosses in lives and property security. Based on multi-source remote sensing data, this study establisheddecision tree classification rules through multi-source and multi-temporal feature fusion, classified groundobjects before the disaster and extracted flood information in the disaster area based on optical imagesduring the disaster, so as to achieve rapid acquisition of the disaster situation of each disaster bearing object.In the case of Qianliang Lake, which suffered from flooding in 2020, the results show that decision treeclassification algorithms based on multi-temporal features can effectively integrate multi-temporal and multispectralinformation to overcome the shortcomings of single-temporal image classification and achieveground-truth object classification.展开更多
In this paper,the Multi-Temporal Interferometric Synthetic Aperture Radar(MT-InSAR)technology is adopted to monitor the Line of Sight(LOS)displacement of Fushun West Opencast Coal Mine(FWOCM)and its surrounding areas ...In this paper,the Multi-Temporal Interferometric Synthetic Aperture Radar(MT-InSAR)technology is adopted to monitor the Line of Sight(LOS)displacement of Fushun West Opencast Coal Mine(FWOCM)and its surrounding areas in northeast China using Sentinel-1 Synthetic Aperture Radar(SAR)images acquired from 2018 to 2022.The spatial-temporal evolution of urban subsidence and the south-slope landslide are both analyzed in detail.Comparison with ground measurements and cross-correlation analysis via cross wavelet transform with monthly precipitation data are also conducted,to analyze the influence factors of displacements in FWOCM.The monitoring results show that a subsidence basin appeared in the urban area near the eastern part of the north slope in 2018,with settlement center located at the intersection of E3000 and fault F1.The Qian Tai Shan(QTS)landslide on the south slope,which experienced rapid sliding during 2014 to 2016,presents seasonal deceleration and acceleration with precipitation,with the maximum displacement in vicinity of the Liushan paleochannel.The results of this paper have fully taken in account for the complications of large topographic relief,geological conditions,spatial distribution and temporal evolution characteristics of surface displacements in opencast mining area.The wide range and long time series dynamic monitoring of opencast mine are of great significance to ensure mine safety production and geological disaster prevention in the investigated mining area.展开更多
The spatial pattern of rice paddies is an essential parameter used for studies of greenhouse gas emissions,agricultural resource management,and environmental monitoring.On large spatial scales,previous studies have us...The spatial pattern of rice paddies is an essential parameter used for studies of greenhouse gas emissions,agricultural resource management,and environmental monitoring.On large spatial scales,previous studies have usually mapped rice paddies using a single vegetation index product based on a traditional classification method,or a combined analysis of various vegetation and water indices derived from the moderate resolution imaging spectroradiometer(MODIS)satellite data.However,different indices increase the computational cost and constrain the satellite data sources,and traditional classification methods(e.g.,maximum likelihood classification)may be time-consuming and difficult to carry out over a large area like China.In this study,we designed an auto-thresholding and single vegetation index(normalized difference vegetation index(NDVI))-based procedure to estimate the spatial distribution of rice paddies in China.The MOD09Q1 product,which was available at MODIS’s highest spatial resolution(250 m),was taken as the input source.An auto-threshold function was also introduced into the change detection process to distinguish rice paddies from other croplands.Our MODIS-derived maps were validated with ground surveys and then compared with China national statistical data of rice paddy areas.The results indicated that the best classification result was achieved for plain regions,and that the accuracy declined for hilly regions,where the complex landscape could lead to an underestimation of the rice paddy area.A comparison between the modeled results and other analyses using 500-m MODIS data suggests that rice paddies may be identified routinely using a single vegetation index with finer resolution on large spatial scales.展开更多
Creation of a spectral signature reflectance data, which aids in the identification of the crops is important in determining size and location crop fields. Therefore, we developed a spectral signature reflectance for ...Creation of a spectral signature reflectance data, which aids in the identification of the crops is important in determining size and location crop fields. Therefore, we developed a spectral signature reflectance for the vegetative stage of the green gram (Vigna. radiata L.) over 5 years (2020, 2018, 2017, 2015, and 2013) for agroecological zone IV and V in Kenya. The years chosen were those whose satellite resolution data was available for the vegetative stage of crop growth in the short rain season (October, November, December (OND)). We used Landsat 8 OLI satellite imagery in this study. Cropping pattern data for the study area were evaluated by calculating the Top of Atmosphere reflectance. Farms geo-referencing, along with field data collection, was undertaken to extract Top of Atmosphere reflectance for bands 2, 3, 4 and 7. We also carried a spectral similarity assessment on the various cropping patterns. The spectral reflectance ranged from 0.07696 - 0.09632, 0.07466 - 0.09467, 0.0704047 - 0.12188,0.19822 - 0.24387, 0.19269 - 0.26900, and 0.11354 - 0.20815 for bands 2, 3, 4, 5, 6, and 7 for green gram, respectively. The results showed a dissimilarity among the various cropping patterns. The lowest dissimilarity index was 0.027 for the maize (Zea mays L.) bean (Phaseolus vulgaris) versus the maize-pigeon pea (Cajanus cajan) crop, while the highest dissimilarity index was 0.443 for the maize bean versus the maize bean and cowpea cropping patterns. High crop dissimilarities experienced across the cropping pattern through these spectral reflectance values confirm that the green gram was potentially identifiable. The results can be used in crop type identification in agroecological lower midland zone IV and V for mung bean management. This study therefore suggests that use of reflectance data in remote sensing of agricultural ecosystems would aid in planning, management, and crop allocation to different ecozones.展开更多
In the context of the digital transformation of vocational education,a quality evaluation index system has been constructed.Based on a questionnaire survey conducted among higher vocational colleges and enterprises in...In the context of the digital transformation of vocational education,a quality evaluation index system has been constructed.Based on a questionnaire survey conducted among higher vocational colleges and enterprises in Hainan Province,it has been found that the quality of vocational education generally depends on the talent training program and professional construction at the macro level.At the meso level,the teacher level and teaching environment are critical,while at the micro level,the evaluation of talent training quality cannot be underestimated.Strategies for quality improvement in vocational education are proposed from the perspectives of talent training programs,major construction,teacher development,teaching environment,and talent training quality,all under the lens of digital transformation.展开更多
BACKGROUND The diagnosis of gastric carcinoma(GC)is essential for improving clinical outcomes.However,the biomarkers currently used for GC screening are not ideal.AIM To explore the diagnostic implications of the neut...BACKGROUND The diagnosis of gastric carcinoma(GC)is essential for improving clinical outcomes.However,the biomarkers currently used for GC screening are not ideal.AIM To explore the diagnostic implications of the neutrophil-to-lymphocyte ratio(NLR),platelet-to-lymphocyte ratio(PLR),and systemic immune-inflammatory index(SII)for GC.METHODS The baseline data of 133 patients with GC and 134 patients with precancerous gastric conditions admitted between January 2022 and December 2023 were retrospectively analyzed.The information on peripheral blood platelet,neutrophil,and lymphocyte counts in each patient was collected,and the NLR,PLR,and SII levels of both groups were calculated.Additionally,multivariate logistic regression analysis was conducted,and the diagnostic implications of NLR,PLR,and SII in differentiating patients with precancerous gastric conditions,compared with those with GC,were analyzed through receiver operating characteristic(ROC)curves.RESULTS The data indicated that NLR,PLR,and SII had abnormally increased levels in the patients with GC.Gender and body mass index were risk factors for the occurrence of GC.ROC data revealed that the areas under the curve of three patients with precancerous gastric conditions,who were differentiated from those with GC,were 0.824,0.787,and 0.842,respectively.CONCLUSION NLR,PLR,and SII are all abnormally expressed in GC and have diagnostic implications,especially when used as joint indicators,in distinguishing patients with precancerous gastric conditions from those with GC.展开更多
BACKGROUND Anastomotic leakage(AL)is a serious complication following rectal cancer surgery and is associated with increased recurrence,mortality,extended hospital stays,and delayed chemotherapy.The Onodera prognostic...BACKGROUND Anastomotic leakage(AL)is a serious complication following rectal cancer surgery and is associated with increased recurrence,mortality,extended hospital stays,and delayed chemotherapy.The Onodera prognostic nutritional index(OPNI)and inflammation-related biomarkers,such as the neutrophil-lymphocyte ratio(NLR)and platelet-to-lymphocyte ratio(PLR),have been studied in the context of cancer prognosis,but their combined efficacy in predicting AL remains unclear.AIM To investigate the relationships between AL and these markers and developed a predictive model for AL.METHODS A retrospective cohort study analyzed the outcomes of 434 patients who had undergone surgery for rectal cancer at a tertiary cancer center from 2016 to 2023.The patients were divided into two groups on the basis of the occurrence of AL:One group consisted of patients who experienced AL(n=49),and the other group did not(n=385).The investigation applied logistic regression to develop a risk prediction model utilizing clinical,pathological,and laboratory data.The efficacy of this model was then evaluated through receiver operating characteristic curve analysis.RESULTS In the present study,11.28%of the participants(49 out of 434 participants)suffered from AL.Multivariate analysis revealed that preoperative levels of the OPNI,NLR,and PLR emerged as independent risk factors for AL,with odds ratios of 0.705(95%CI:0.641-0.775,P=0.012),1.628(95%CI:1.221-2.172,P=0.024),and 0.994(95%CI:0.989-0.999,P=0.031),respectively.These findings suggest that these biomarkers could effectively predict AL risk.Furthermore,the proposed predictive model has superior discriminative ability,as demonstrated by an area under the curve of 0.910,a sensitivity of 0.898,and a specificity of 0.826,reflecting its high level of accuracy.CONCLUSION The risk of AL in rectal cancer surgery patients can be effectively predicted by assessing the preoperative levels of serum nutritional biomarkers and inflammatory indicators,emphasizing their importance in the preoperative evaluation process.展开更多
BACKGROUND Acute liver failure(ALF)is a life-threatening multisystemic condition with high short-term mortality.With the growing prevalence of obesity and metabolic syndrome,it is important to investigate the clinical...BACKGROUND Acute liver failure(ALF)is a life-threatening multisystemic condition with high short-term mortality.With the growing prevalence of obesity and metabolic syndrome,it is important to investigate the clinical implications of high body mass index(BMI)on survival outcomes in ALF.AIM To explore the impact of overweight and obesity on the clinical outcomes of patients with ALF.METHODS A retrospective observational cohort study was conducted involving patients with ALF admitted to the Johns Hopkins Health System between January 1,2000 and May 1,2020.We performed Cox proportional hazards regression to identify outcomes,including the need for liver transplantation(LT)or all-cause mortality.RESULTS A total of 196 patients were included,the median age was 43.5 years,63.3%were female,and 59.7%were of Caucasian ethnicity.Acetaminophen-induced ALF was the most common etiology(45%).The mean BMI was significantly greater among patients who underwent LT or died(29.64 kg/m^(2)vs 26.59 kg/m^(2),P=0.008)than among survivors.Patients with overweight and obesity had a higher risk of all-cause mortality or need for LT by 2.22-fold(95%CI:1.30-3.78)and 2.04-fold(95%CI:1.29-3.39),respectively.Elevated BMI was associated with renal failure and higher grades of hepatic encephalopathy.Derangements in serologic markers,including alanine transaminase,lactate,and ammonia,were associated with a mortality risk or need for LT.CONCLUSION In this large,retrospective study,with a diverse cohort of United States patients,Overweight and obese were independently associated with an increased risk of all-cause mortality or need for LT.This work highlights the importance of closely monitoring ALF patients who are overweight or obese for adverse complications and measures to improve outcomes in this vulnerable patient population.展开更多
ACKGROUND The hemoglobin glycation index(HGI)represents the discrepancy between the glucose management indicator(GMI)based on mean blood glucose levels and laboratory values of glycated hemoglobin(HbA1c).The HGI is a ...ACKGROUND The hemoglobin glycation index(HGI)represents the discrepancy between the glucose management indicator(GMI)based on mean blood glucose levels and laboratory values of glycated hemoglobin(HbA1c).The HGI is a promising indicator for identifying individuals with excessive glycosylation,facilitating personalized evaluation and prediction of diabetic complications.However,the factors influencing the HGI in patients with type 1 diabetes(T1D)remain unclear.Autoimmune destruction of pancreaticβcells is central in T1D pathogenesis,yet insulin resistance can also be a feature of patients with T1D and their coexistence is called“double diabetes”(DD).However,knowledge regarding the relationship between DD features and the HGI in T1D is limited.AIM To assess the association between the HGI and DD features in adults with T1D.METHODS A total of 83 patients with T1D were recruited for this cross-sectional study.Laboratory HbA1c and GMI from continuous glucose monitoring data were collected to calculate the HGI.DD features included a family history of type 2 diabetes,overweight/obesity/central adiposity,hypertension,atherogenic dyslipidemia,an abnormal percentage of body fat(PBF)and/or visceral fat area(VFA)and decreased estimated insulin sensitivity.Skin autofluorescence of advanced glycation end products(SAF-AGEs),diabetic complications,and DD features were assessed,and their association with the HGI was analyzed.RESULTS A discrepancy was observed between HbA1c and GMI among patients with T1D and DD.A higher HGI was associated with an increased number of SAF-AGEs and a higher prevalence of diabetic microangiopathy(P=0.030),particularly retinopathy(P=0.031).Patients with three or more DD features exhibited an eight-fold increased risk of having a high HGI,compared with those without DD features(adjusted odds ratio=8.12;95%confidence interval:1.52-43.47).Specifically,an elevated PBF and/or VFA and decreased estimated insulin sensitivity were associated with high HGI.Regression analysis identified estimated insulin sensitivity and VFA as factors independently associated with HGI.CONCLUSION In patients with T1D,DD features are associated with a higher HGI,which represents a trend toward excessive glycosylation and is associated with a higher prevalence of chronic diabetic complications.展开更多
BACKGROUND Gastric cancer(GC)is the fifth most common cancer and the third leading cause of cancer-related deaths in China.Many patients with GC frequently experience symptoms related to the disease,including anorexia...BACKGROUND Gastric cancer(GC)is the fifth most common cancer and the third leading cause of cancer-related deaths in China.Many patients with GC frequently experience symptoms related to the disease,including anorexia,nausea,vomiting,and other discomforts,and often suffer from malnutrition,which in turn negatively affects perioperative safety,prognosis,and the effectiveness of adjuvant therapeutic measures.Consequently,some nutritional indicators such as nutritional risk index(NRI),prognostic nutritional index(PNI),and systemic immune-inflammatorynutritional index(SIINI)can be used as predictors of the prognosis of GC patients.AIM To examine the prognostic significance of PNI,NRI,and SIINI in postoperative patients with GC.METHODS A retrospective analysis was conducted on the clinical data of patients with GC who underwent surgical treatment at the Guangxi Medical University Cancer Hospital between January 2010 and December 2018.The area under the receiver operating characteristic(ROC)curve was assessed using ROC curve analysis,and the optimal cutoff values for NRI,PNI,and SIINI were identified using the You-Review-HTMLden index.Survival analysis was performed using the Kaplan-Meier method.In addition,univariate and multivariate analyses were conducted using the Cox proportional hazards regression model.RESULTS This study included a total of 803 patients.ROC curves were used to evaluate the prognostic ability of NRI,PNI,and SIINI.The results revealed that SIINI had superior predictive accuracy.Survival analysis indicated that patients with GC in the low SIINI group had a significantly better survival rate than those in the high SIINI group(P<0.05).Univariate analysis identified NRI[hazard ratio(HR)=0.68,95%confidence interval(CI):0.52-0.89,P=0.05],PNI(HR=0.60,95%CI:0.46-0.79,P<0.001),and SIINI(HR=2.10,95%CI:1.64-2.69,P<0.001)as prognostic risk factors for patients with GC.However,multifactorial analysis indicated that SIINI was an independent risk factor for the prognosis of patients with GC(HR=1.65,95%CI:1.26-2.16,P<0.001).CONCLUSION Analysis of clinical retrospective data revealed that SIINI is a valuable indicator for predicting the prognosis of patients with GC.Compared with NRI and PNI,SIINI may offer greater application for prognostic assessment.展开更多
The Dst index has been commonly used to measure the geomagnetic effectiveness of magnetic storm events for several decades.Based on Burton’s empirical Dst model and the global magneto-hydrodynamic(MHD)simulation of E...The Dst index has been commonly used to measure the geomagnetic effectiveness of magnetic storm events for several decades.Based on Burton’s empirical Dst model and the global magneto-hydrodynamic(MHD)simulation of Earth’s magnetosphere,here we proposed a semi-empirical model to forecast the Dst index during geomagnetic storms.In this model,the ring current contribution to the Dst index is derived from Burton’s model,while the contributions from other current systems are obtained from the global MHD simulation.In order to verify the model accuracy,a number of recent magnetic storm events are tested and the simulated Dst index is compared with the observation through the correlation coefficient(CC),prediction efficiency(PE),root mean square error(RMSE)and central root mean square error(CRMSE).The results indicate that,in the context of moderate and intense geomagnetic storm events,the semi-empirical model performs well in global MHD simulations,showing relatively higher CC and PE,and lower RMSE and CRMSE compared to those from the empirical model.Compared with the physics-based ring current models,this model inherits the advantage of fast processing from the empirical model,and easy implementation in a global MHD model of Earth’s magnetosphere.Therefore,it is suitable for the Dst estimation under a context of a global MHD simulation.展开更多
Extreme weather events,such as floods and droughts,are expected to rise significantly worldwide as a result of climate change.Investigating future drought patterns is therefore a key approach for elaborating anticipat...Extreme weather events,such as floods and droughts,are expected to rise significantly worldwide as a result of climate change.Investigating future drought patterns is therefore a key approach for elaborating anticipatory water resources management responses to climate change.In this paper,future meteorological drought conditions are investigated based on the SPEI(Standardised Precipitation Evapotranspiration Index).This study makes use of observed and projected data.The simulated data were retrieved from the CMIP6(Coupled Model Intercomparison Project Phase 6)over the period 2025-2050,and the Delta change method was adopted to remove the bias in the dataset.Then SPEI at various scales has been estimated under four future scenarios(SSP1-2.6,SSP2-4.5,SSP3-7.0 and SSP5-8.5).The trend analysis of the projected SPEI was performed at p<0.05 using the MMK(Modified Mann-Kendall)test in order to detect the statistically significant trend of the drought against the null hypothesis of no trend.Results show large variability in the magnitude of drought in the past and future.Based on SPEI at 24 months accumulation,the result shows that under SSP1-2.6,the basin will experience a wet period during the first decade(SPEI=0.60),the second decade will be dry(SPEI24=-0.43).The remaining years will be also dry(SPEI=-0.34).Under SSP2-4.5,SSP3-7.0 and SSP5-8.5 scenarios,the district will experience a wet period during the first two decades with SPEI ranging from 0.38 to 0.59.This wet period will be followed by a dry period under these scenarios ranging from-0.14 to-0.06.Overall,under SSPs scenarios,two main periods characterized by a rainfall recovery spanning from followed by a moderately prolonged drought are identified within the study area.The findings of this study may provide valuable information for developing proactive measures to reduce water insecurity in Fada N’Gourma through effective drought mitigation.展开更多
BACKGROUND Acute kidney injury(AKI)is a frequent complication after liver transplantation(LT).How to realize the early diagnosis of AKI,perform active intervention,and reduce the mortality of post-LT patients is an ur...BACKGROUND Acute kidney injury(AKI)is a frequent complication after liver transplantation(LT).How to realize the early diagnosis of AKI,perform active intervention,and reduce the mortality of post-LT patients is an urgent problem to be solved.AIM To investigate the accuracy of hepatorenal index(HRI)and renal resistive index(RRI)in monitoring of early AKI after LT.METHODS This observational study included adult deceased-donor LT recipients at our center between February 2022 and February 2023 with no preoperative renal dysfunction.The HRI and RRI were recorded once per day in the postoperative period through to postoperative day(POD)7.We followed up with the patients at 1 month after LT.The patients were divided into the AKI and non-AKI groups according to the Kidney Disease Improving Global Outcomes criteria.RESULTS Of 121 patients were included in the study(mean age:50.18±8.88years;female:17.36%).AKI developed in 53 patients(43.80%).The AKI and non-AKI groups were similar in terms of their baseline characteristics.An HRI of≤1.12 on POD 1 detected AKI with a sensitivity of 62.30%and a specificity of 87.80%[area under the receiver operating characteristic curve(AUC)=0.801,P<0.01].An RRI of≥0.65 on POD 1 detected AKI with a sensitivity of 87.80%and a specificity of 67.60%(AUC=0.825,P<0.01).The HRI combined with the RRI was more effective at detecting AKI than either the HRI or RRI alone(AUC=0.890,P<0.01).The HRI increased as AKI resolved while the RRI decreased as AKI resolved.CONCLUSION The HRI and RRI are non-invasive bedside indices that can identify the occurrence and recovery of early AKI after LT.展开更多
The statistics of the China natural gas industry prosperity index showed that the China natural gas industry prosperity index was 357.68 in the 2nd quarter of 2025,up 3.1% from the 1st quarter of 2025,a stably prosper...The statistics of the China natural gas industry prosperity index showed that the China natural gas industry prosperity index was 357.68 in the 2nd quarter of 2025,up 3.1% from the 1st quarter of 2025,a stably prosperous state in the short term and a very prosperous state in the medium to long term;the prosperity index of natural gas production companies was 542.01 in the 2nd quarter of 2025,up 4.8% from the 1st quarter of 2025,an increasingly prosperous state in the short term and a very prosperous state in the medium to long term;the prosperity index of natural gas sales companies was 209.06 in the 2nd quarter of 2025,up 0.4% from the 1st quarter of 2025,an increasing prosperity in the short term and a prosperous state in the medium to long term;the prosperity trend index of the natural gas industry in the coming year for the 2nd quarter of 2025 was 765.70,up 4.1% from the 1st quarter of 2025,a very prosperous state,indicating that natural gas industry experts are optimistic about the natural gas industry’s prosperity trend in the coming year.See Fig.1 and Table 1 for details.展开更多
On June 12th, 2024, Clarivate Analytics officially notified that the journal of Chinese Medicine and Culture (CMC) met the necessary selection criteria, and has been included in the Emerging Sources Citation Index(ESC...On June 12th, 2024, Clarivate Analytics officially notified that the journal of Chinese Medicine and Culture (CMC) met the necessary selection criteria, and has been included in the Emerging Sources Citation Index(ESCI) database. The journal is expected to receive its first Impact Factor(IF) in 2025, marking a new stage of its development.展开更多
Based on optofluidics and whispering gallery mode(WGM)theory,here an optofluidic refractive index sensor with microtube-coupled suspended core fiber(SCF)is proposed.It solves the issues of general sensors with microca...Based on optofluidics and whispering gallery mode(WGM)theory,here an optofluidic refractive index sensor with microtube-coupled suspended core fiber(SCF)is proposed.It solves the issues of general sensors with microcavity-coupled fiber taper such as too fragile,unstable performance due to open coupling,poor portability and repeatability,while overcoming the poor performance of low refractive index sensing in general full-package fiber sensors.The sensor only needs a very small amount of liquid sample(about 1.8 nL).The proposed sensor combines the excellent performance of full package,optofluidics and WGM resonator.The resonant characteristics and sensing performance of the sensor are analyzed and discussed by the theoretical simulation.The simulation results indicate that the sensor has a wide refractive index sensing range(1.330-1.700)and good performance.The resonance wavelength shift has a good linear relationship with the liquid refractive index variation.In the low refractive index region,the sensitivity is 222.5-247.5 nm/RIU,Q-factor is 1.03×10^(3) and the detection limit is 3.64×10^(-4) RIU.In the medium and high refractive index regions,the sensitivity is 564.4-846.2 nm/RIU,Q-factor is up to 8.62×10^(4),and the detection limit can be as low as 1.29×10^(-6) RIU.The sensor exhibits a high sensitivity,a high Q-factor and a very low detection limit.展开更多
BACKGROUND The Zhejiang University(ZJU)index has been demonstrated to have notable value in predicting metabolic dysfunction-associated steatotic liver disease(MASLD)within Chinese populations.However,the correlation ...BACKGROUND The Zhejiang University(ZJU)index has been demonstrated to have notable value in predicting metabolic dysfunction-associated steatotic liver disease(MASLD)within Chinese populations.However,the correlation between the ZJU index and MASLD in type 2 diabetes mellitus(T2DM)patients remains to be elucidated.AIM To investigate the association between the ZJU index and MASLD among patients with T2DM.METHODS This cross-sectional study was conducted on hospitalised patients diagnosed with T2DM.Anthropometric measurements,laboratory data,and ultrasound results were initially collected from all patients.The ZJU index was subsequently calculated.Regression analysis was then used to explore risk factors affecting MASLD,and the optimal ZJU index cut-off value for diagnosing MASLD was determined using restricted cubic spline analysis.Finally,a new model for predicting MASLD in T2DM patients based on the ZJU index was constructed.This model was based on the risk factors identified by regression analysis,and the area under curve values were calculated.The validity and reliability of the models were then compared with each other.RESULTS A total of 688 patients with T2DM were included in this study.A significant positive correlation was identified between the ZJU index and the development of MASLD.Furthermore,the results of the restricted cubic spline analysis showed a non-linear association between ZJU index and MASLD.The ZJU value of 38.87 was identified as the key threshold for diagnosing MASLD.The new predictive model,which was developed by regression analysis,demonstrated a higher diagnostic value for MASLD and exhibited good accuracy in comparison with metabolic indices alone(area under curve=0.76,95%confidence interval:0.72-0.80).CONCLUSION The ZJU index has been shown to be linked to the risk of developing MASLD,and the new model constructed has been shown to possess good predictive value.展开更多
This paper investigates the performance of a simultaneous wireless information and power transfer(SWIPT)enabled two-way one-relay(TWOR)system based on generalized carrier index differential chaos shift keying(GCI-DCSK...This paper investigates the performance of a simultaneous wireless information and power transfer(SWIPT)enabled two-way one-relay(TWOR)system based on generalized carrier index differential chaos shift keying(GCI-DCSK).We derive the expressions for the proposed scheme’s bit error rate(BER),considering both additive white Gaussian noise(AWGN)and multipath Rayleigh fading channels.The simulation results demonstrate that the proposed SWIPT-enabled GCI-DCSK TWOR system performs slightly worse than the DCSK TWOR system without SWIPT at the same distance.However,a notable advantage of the proposed system is that the relay node is self-sustainable,which is particularly significant considering the challenges associated with battery replacement in relay nodes.Furthermore,we derive the outage probability and validate the accuracy of the derived formulas using simulation results.展开更多
BACKGROUND The correlation between geriatric nutritional risk index(GNRI)and the prognosis of patients with osteoporosis or osteopenia has not been studied.This study aims to explore the relationship between GNRI and ...BACKGROUND The correlation between geriatric nutritional risk index(GNRI)and the prognosis of patients with osteoporosis or osteopenia has not been studied.This study aims to explore the relationship between GNRI and the cardiovascular disease(CVD)and all-cause mortality rates in elderly patients with osteoporosis or osteopenia.METHODS This study included 4756 patients with osteoporosis and osteopenia from five cycles of the National Health and Nutrition Examination Survey(NHANES).We used multivariable Cox regression and subgroup analyses to investigate the correlation between GNRI and mortality rates.The restricted cubic spline analysis was used to assess the dose-response relationship between GNRI and mortality risk.Mediation analysis was conducted to examine the mediating effect of chronic kidney disease on the relationship between nutritional risk and mortality.RESULTS During a median follow-up period of 114 months,a total of 1241 deaths(26.09%)occurred,including 300 deaths due to CVD(6.31%).In the fully adjusted Model 3,compared to the no-risk group,the risk group showed significantly increased all-cause mortality risk(HR=2.05,95%CI:1.74–2.40)and CVD mortality risk(HR=1.88,95%CI:1.30–2.71).The restricted cubic spline analysis indicated a non-linear association between GNRI and all-cause mortality risk as well as CVD mortality risk.The mediation analysis results indicated that chronic kidney disease mediates 16.9%of the effect of nutritional risk on all-cause mortality and 25.3%on CVD mortality risk.CONCLUSIONS GNRI can serve as a predictive factor for all-cause and CVD mortality rates in elderly patients with osteoporosis or osteopenia.展开更多
文摘Flood disasters can have a serious impact on people's production and lives, and can cause hugelosses in lives and property security. Based on multi-source remote sensing data, this study establisheddecision tree classification rules through multi-source and multi-temporal feature fusion, classified groundobjects before the disaster and extracted flood information in the disaster area based on optical imagesduring the disaster, so as to achieve rapid acquisition of the disaster situation of each disaster bearing object.In the case of Qianliang Lake, which suffered from flooding in 2020, the results show that decision treeclassification algorithms based on multi-temporal features can effectively integrate multi-temporal and multispectralinformation to overcome the shortcomings of single-temporal image classification and achieveground-truth object classification.
基金supported by the Natural Science Foundation of China[grant number 42071453]the geological hazard investigation project of Liaoning Province[grant number 2022020700179]the Fund of National Key Laboratory of Science and Technology on Remote Sensing Information and imagery Analysis,Beijing Research Institute of Uranium Geology[grant number 6142A01210407].
文摘In this paper,the Multi-Temporal Interferometric Synthetic Aperture Radar(MT-InSAR)technology is adopted to monitor the Line of Sight(LOS)displacement of Fushun West Opencast Coal Mine(FWOCM)and its surrounding areas in northeast China using Sentinel-1 Synthetic Aperture Radar(SAR)images acquired from 2018 to 2022.The spatial-temporal evolution of urban subsidence and the south-slope landslide are both analyzed in detail.Comparison with ground measurements and cross-correlation analysis via cross wavelet transform with monthly precipitation data are also conducted,to analyze the influence factors of displacements in FWOCM.The monitoring results show that a subsidence basin appeared in the urban area near the eastern part of the north slope in 2018,with settlement center located at the intersection of E3000 and fault F1.The Qian Tai Shan(QTS)landslide on the south slope,which experienced rapid sliding during 2014 to 2016,presents seasonal deceleration and acceleration with precipitation,with the maximum displacement in vicinity of the Liushan paleochannel.The results of this paper have fully taken in account for the complications of large topographic relief,geological conditions,spatial distribution and temporal evolution characteristics of surface displacements in opencast mining area.The wide range and long time series dynamic monitoring of opencast mine are of great significance to ensure mine safety production and geological disaster prevention in the investigated mining area.
基金financially supported by the Strategic Priority Research Program of Chinese Academy of Sciences—Climate Change:Carbon Budget and Relevant Issues(No.XDA05020200)the Startup Foundation for Introducing Talent of Nanjing University of Information Science and Technology(NUIST),China(No.2016r036)the Innovation and Entrepreneurship Training Program for College Students of Jiangsu Provincial Department of Education,China(No.2017103000165)
文摘The spatial pattern of rice paddies is an essential parameter used for studies of greenhouse gas emissions,agricultural resource management,and environmental monitoring.On large spatial scales,previous studies have usually mapped rice paddies using a single vegetation index product based on a traditional classification method,or a combined analysis of various vegetation and water indices derived from the moderate resolution imaging spectroradiometer(MODIS)satellite data.However,different indices increase the computational cost and constrain the satellite data sources,and traditional classification methods(e.g.,maximum likelihood classification)may be time-consuming and difficult to carry out over a large area like China.In this study,we designed an auto-thresholding and single vegetation index(normalized difference vegetation index(NDVI))-based procedure to estimate the spatial distribution of rice paddies in China.The MOD09Q1 product,which was available at MODIS’s highest spatial resolution(250 m),was taken as the input source.An auto-threshold function was also introduced into the change detection process to distinguish rice paddies from other croplands.Our MODIS-derived maps were validated with ground surveys and then compared with China national statistical data of rice paddy areas.The results indicated that the best classification result was achieved for plain regions,and that the accuracy declined for hilly regions,where the complex landscape could lead to an underestimation of the rice paddy area.A comparison between the modeled results and other analyses using 500-m MODIS data suggests that rice paddies may be identified routinely using a single vegetation index with finer resolution on large spatial scales.
文摘Creation of a spectral signature reflectance data, which aids in the identification of the crops is important in determining size and location crop fields. Therefore, we developed a spectral signature reflectance for the vegetative stage of the green gram (Vigna. radiata L.) over 5 years (2020, 2018, 2017, 2015, and 2013) for agroecological zone IV and V in Kenya. The years chosen were those whose satellite resolution data was available for the vegetative stage of crop growth in the short rain season (October, November, December (OND)). We used Landsat 8 OLI satellite imagery in this study. Cropping pattern data for the study area were evaluated by calculating the Top of Atmosphere reflectance. Farms geo-referencing, along with field data collection, was undertaken to extract Top of Atmosphere reflectance for bands 2, 3, 4 and 7. We also carried a spectral similarity assessment on the various cropping patterns. The spectral reflectance ranged from 0.07696 - 0.09632, 0.07466 - 0.09467, 0.0704047 - 0.12188,0.19822 - 0.24387, 0.19269 - 0.26900, and 0.11354 - 0.20815 for bands 2, 3, 4, 5, 6, and 7 for green gram, respectively. The results showed a dissimilarity among the various cropping patterns. The lowest dissimilarity index was 0.027 for the maize (Zea mays L.) bean (Phaseolus vulgaris) versus the maize-pigeon pea (Cajanus cajan) crop, while the highest dissimilarity index was 0.443 for the maize bean versus the maize bean and cowpea cropping patterns. High crop dissimilarities experienced across the cropping pattern through these spectral reflectance values confirm that the green gram was potentially identifiable. The results can be used in crop type identification in agroecological lower midland zone IV and V for mung bean management. This study therefore suggests that use of reflectance data in remote sensing of agricultural ecosystems would aid in planning, management, and crop allocation to different ecozones.
文摘In the context of the digital transformation of vocational education,a quality evaluation index system has been constructed.Based on a questionnaire survey conducted among higher vocational colleges and enterprises in Hainan Province,it has been found that the quality of vocational education generally depends on the talent training program and professional construction at the macro level.At the meso level,the teacher level and teaching environment are critical,while at the micro level,the evaluation of talent training quality cannot be underestimated.Strategies for quality improvement in vocational education are proposed from the perspectives of talent training programs,major construction,teacher development,teaching environment,and talent training quality,all under the lens of digital transformation.
文摘BACKGROUND The diagnosis of gastric carcinoma(GC)is essential for improving clinical outcomes.However,the biomarkers currently used for GC screening are not ideal.AIM To explore the diagnostic implications of the neutrophil-to-lymphocyte ratio(NLR),platelet-to-lymphocyte ratio(PLR),and systemic immune-inflammatory index(SII)for GC.METHODS The baseline data of 133 patients with GC and 134 patients with precancerous gastric conditions admitted between January 2022 and December 2023 were retrospectively analyzed.The information on peripheral blood platelet,neutrophil,and lymphocyte counts in each patient was collected,and the NLR,PLR,and SII levels of both groups were calculated.Additionally,multivariate logistic regression analysis was conducted,and the diagnostic implications of NLR,PLR,and SII in differentiating patients with precancerous gastric conditions,compared with those with GC,were analyzed through receiver operating characteristic(ROC)curves.RESULTS The data indicated that NLR,PLR,and SII had abnormally increased levels in the patients with GC.Gender and body mass index were risk factors for the occurrence of GC.ROC data revealed that the areas under the curve of three patients with precancerous gastric conditions,who were differentiated from those with GC,were 0.824,0.787,and 0.842,respectively.CONCLUSION NLR,PLR,and SII are all abnormally expressed in GC and have diagnostic implications,especially when used as joint indicators,in distinguishing patients with precancerous gastric conditions from those with GC.
基金Supported by Natural Science Foundation of Xinjiang Uygur Autonomous Region,No.2022D01C297.
文摘BACKGROUND Anastomotic leakage(AL)is a serious complication following rectal cancer surgery and is associated with increased recurrence,mortality,extended hospital stays,and delayed chemotherapy.The Onodera prognostic nutritional index(OPNI)and inflammation-related biomarkers,such as the neutrophil-lymphocyte ratio(NLR)and platelet-to-lymphocyte ratio(PLR),have been studied in the context of cancer prognosis,but their combined efficacy in predicting AL remains unclear.AIM To investigate the relationships between AL and these markers and developed a predictive model for AL.METHODS A retrospective cohort study analyzed the outcomes of 434 patients who had undergone surgery for rectal cancer at a tertiary cancer center from 2016 to 2023.The patients were divided into two groups on the basis of the occurrence of AL:One group consisted of patients who experienced AL(n=49),and the other group did not(n=385).The investigation applied logistic regression to develop a risk prediction model utilizing clinical,pathological,and laboratory data.The efficacy of this model was then evaluated through receiver operating characteristic curve analysis.RESULTS In the present study,11.28%of the participants(49 out of 434 participants)suffered from AL.Multivariate analysis revealed that preoperative levels of the OPNI,NLR,and PLR emerged as independent risk factors for AL,with odds ratios of 0.705(95%CI:0.641-0.775,P=0.012),1.628(95%CI:1.221-2.172,P=0.024),and 0.994(95%CI:0.989-0.999,P=0.031),respectively.These findings suggest that these biomarkers could effectively predict AL risk.Furthermore,the proposed predictive model has superior discriminative ability,as demonstrated by an area under the curve of 0.910,a sensitivity of 0.898,and a specificity of 0.826,reflecting its high level of accuracy.CONCLUSION The risk of AL in rectal cancer surgery patients can be effectively predicted by assessing the preoperative levels of serum nutritional biomarkers and inflammatory indicators,emphasizing their importance in the preoperative evaluation process.
文摘BACKGROUND Acute liver failure(ALF)is a life-threatening multisystemic condition with high short-term mortality.With the growing prevalence of obesity and metabolic syndrome,it is important to investigate the clinical implications of high body mass index(BMI)on survival outcomes in ALF.AIM To explore the impact of overweight and obesity on the clinical outcomes of patients with ALF.METHODS A retrospective observational cohort study was conducted involving patients with ALF admitted to the Johns Hopkins Health System between January 1,2000 and May 1,2020.We performed Cox proportional hazards regression to identify outcomes,including the need for liver transplantation(LT)or all-cause mortality.RESULTS A total of 196 patients were included,the median age was 43.5 years,63.3%were female,and 59.7%were of Caucasian ethnicity.Acetaminophen-induced ALF was the most common etiology(45%).The mean BMI was significantly greater among patients who underwent LT or died(29.64 kg/m^(2)vs 26.59 kg/m^(2),P=0.008)than among survivors.Patients with overweight and obesity had a higher risk of all-cause mortality or need for LT by 2.22-fold(95%CI:1.30-3.78)and 2.04-fold(95%CI:1.29-3.39),respectively.Elevated BMI was associated with renal failure and higher grades of hepatic encephalopathy.Derangements in serologic markers,including alanine transaminase,lactate,and ammonia,were associated with a mortality risk or need for LT.CONCLUSION In this large,retrospective study,with a diverse cohort of United States patients,Overweight and obese were independently associated with an increased risk of all-cause mortality or need for LT.This work highlights the importance of closely monitoring ALF patients who are overweight or obese for adverse complications and measures to improve outcomes in this vulnerable patient population.
基金Supported by the National Key R D Program of China,No.2022YFC2010102Natural Science Foundation of Hunan Province,No.2021JC0003+1 种基金National Natural Science Foundation of China,No.82070812the Sinocare Diabetes Foundation,No.LYF2022039.
文摘ACKGROUND The hemoglobin glycation index(HGI)represents the discrepancy between the glucose management indicator(GMI)based on mean blood glucose levels and laboratory values of glycated hemoglobin(HbA1c).The HGI is a promising indicator for identifying individuals with excessive glycosylation,facilitating personalized evaluation and prediction of diabetic complications.However,the factors influencing the HGI in patients with type 1 diabetes(T1D)remain unclear.Autoimmune destruction of pancreaticβcells is central in T1D pathogenesis,yet insulin resistance can also be a feature of patients with T1D and their coexistence is called“double diabetes”(DD).However,knowledge regarding the relationship between DD features and the HGI in T1D is limited.AIM To assess the association between the HGI and DD features in adults with T1D.METHODS A total of 83 patients with T1D were recruited for this cross-sectional study.Laboratory HbA1c and GMI from continuous glucose monitoring data were collected to calculate the HGI.DD features included a family history of type 2 diabetes,overweight/obesity/central adiposity,hypertension,atherogenic dyslipidemia,an abnormal percentage of body fat(PBF)and/or visceral fat area(VFA)and decreased estimated insulin sensitivity.Skin autofluorescence of advanced glycation end products(SAF-AGEs),diabetic complications,and DD features were assessed,and their association with the HGI was analyzed.RESULTS A discrepancy was observed between HbA1c and GMI among patients with T1D and DD.A higher HGI was associated with an increased number of SAF-AGEs and a higher prevalence of diabetic microangiopathy(P=0.030),particularly retinopathy(P=0.031).Patients with three or more DD features exhibited an eight-fold increased risk of having a high HGI,compared with those without DD features(adjusted odds ratio=8.12;95%confidence interval:1.52-43.47).Specifically,an elevated PBF and/or VFA and decreased estimated insulin sensitivity were associated with high HGI.Regression analysis identified estimated insulin sensitivity and VFA as factors independently associated with HGI.CONCLUSION In patients with T1D,DD features are associated with a higher HGI,which represents a trend toward excessive glycosylation and is associated with a higher prevalence of chronic diabetic complications.
基金Supported by the Scientific Research Project of Hospital Pharmacy of Guangxi Pharmaceutical Association in 2022,No.GXYXH1-202202.
文摘BACKGROUND Gastric cancer(GC)is the fifth most common cancer and the third leading cause of cancer-related deaths in China.Many patients with GC frequently experience symptoms related to the disease,including anorexia,nausea,vomiting,and other discomforts,and often suffer from malnutrition,which in turn negatively affects perioperative safety,prognosis,and the effectiveness of adjuvant therapeutic measures.Consequently,some nutritional indicators such as nutritional risk index(NRI),prognostic nutritional index(PNI),and systemic immune-inflammatorynutritional index(SIINI)can be used as predictors of the prognosis of GC patients.AIM To examine the prognostic significance of PNI,NRI,and SIINI in postoperative patients with GC.METHODS A retrospective analysis was conducted on the clinical data of patients with GC who underwent surgical treatment at the Guangxi Medical University Cancer Hospital between January 2010 and December 2018.The area under the receiver operating characteristic(ROC)curve was assessed using ROC curve analysis,and the optimal cutoff values for NRI,PNI,and SIINI were identified using the You-Review-HTMLden index.Survival analysis was performed using the Kaplan-Meier method.In addition,univariate and multivariate analyses were conducted using the Cox proportional hazards regression model.RESULTS This study included a total of 803 patients.ROC curves were used to evaluate the prognostic ability of NRI,PNI,and SIINI.The results revealed that SIINI had superior predictive accuracy.Survival analysis indicated that patients with GC in the low SIINI group had a significantly better survival rate than those in the high SIINI group(P<0.05).Univariate analysis identified NRI[hazard ratio(HR)=0.68,95%confidence interval(CI):0.52-0.89,P=0.05],PNI(HR=0.60,95%CI:0.46-0.79,P<0.001),and SIINI(HR=2.10,95%CI:1.64-2.69,P<0.001)as prognostic risk factors for patients with GC.However,multifactorial analysis indicated that SIINI was an independent risk factor for the prognosis of patients with GC(HR=1.65,95%CI:1.26-2.16,P<0.001).CONCLUSION Analysis of clinical retrospective data revealed that SIINI is a valuable indicator for predicting the prognosis of patients with GC.Compared with NRI and PNI,SIINI may offer greater application for prognostic assessment.
基金supported by NNSFC grants 42150101,42188105,42304189National Key R&D program of China No.2021YFA-0718600the Pandeng Program of National Space Science Center,Chinese Academy of Sciences.
文摘The Dst index has been commonly used to measure the geomagnetic effectiveness of magnetic storm events for several decades.Based on Burton’s empirical Dst model and the global magneto-hydrodynamic(MHD)simulation of Earth’s magnetosphere,here we proposed a semi-empirical model to forecast the Dst index during geomagnetic storms.In this model,the ring current contribution to the Dst index is derived from Burton’s model,while the contributions from other current systems are obtained from the global MHD simulation.In order to verify the model accuracy,a number of recent magnetic storm events are tested and the simulated Dst index is compared with the observation through the correlation coefficient(CC),prediction efficiency(PE),root mean square error(RMSE)and central root mean square error(CRMSE).The results indicate that,in the context of moderate and intense geomagnetic storm events,the semi-empirical model performs well in global MHD simulations,showing relatively higher CC and PE,and lower RMSE and CRMSE compared to those from the empirical model.Compared with the physics-based ring current models,this model inherits the advantage of fast processing from the empirical model,and easy implementation in a global MHD model of Earth’s magnetosphere.Therefore,it is suitable for the Dst estimation under a context of a global MHD simulation.
文摘Extreme weather events,such as floods and droughts,are expected to rise significantly worldwide as a result of climate change.Investigating future drought patterns is therefore a key approach for elaborating anticipatory water resources management responses to climate change.In this paper,future meteorological drought conditions are investigated based on the SPEI(Standardised Precipitation Evapotranspiration Index).This study makes use of observed and projected data.The simulated data were retrieved from the CMIP6(Coupled Model Intercomparison Project Phase 6)over the period 2025-2050,and the Delta change method was adopted to remove the bias in the dataset.Then SPEI at various scales has been estimated under four future scenarios(SSP1-2.6,SSP2-4.5,SSP3-7.0 and SSP5-8.5).The trend analysis of the projected SPEI was performed at p<0.05 using the MMK(Modified Mann-Kendall)test in order to detect the statistically significant trend of the drought against the null hypothesis of no trend.Results show large variability in the magnitude of drought in the past and future.Based on SPEI at 24 months accumulation,the result shows that under SSP1-2.6,the basin will experience a wet period during the first decade(SPEI=0.60),the second decade will be dry(SPEI24=-0.43).The remaining years will be also dry(SPEI=-0.34).Under SSP2-4.5,SSP3-7.0 and SSP5-8.5 scenarios,the district will experience a wet period during the first two decades with SPEI ranging from 0.38 to 0.59.This wet period will be followed by a dry period under these scenarios ranging from-0.14 to-0.06.Overall,under SSPs scenarios,two main periods characterized by a rainfall recovery spanning from followed by a moderately prolonged drought are identified within the study area.The findings of this study may provide valuable information for developing proactive measures to reduce water insecurity in Fada N’Gourma through effective drought mitigation.
基金Supported by the Clinical+X Scientific Research Project of Affiliated Hospital of Qingdao University,No.QYFY+X202101060Natural Science Foundation of Shandong Province,No.ZR2023MH240.
文摘BACKGROUND Acute kidney injury(AKI)is a frequent complication after liver transplantation(LT).How to realize the early diagnosis of AKI,perform active intervention,and reduce the mortality of post-LT patients is an urgent problem to be solved.AIM To investigate the accuracy of hepatorenal index(HRI)and renal resistive index(RRI)in monitoring of early AKI after LT.METHODS This observational study included adult deceased-donor LT recipients at our center between February 2022 and February 2023 with no preoperative renal dysfunction.The HRI and RRI were recorded once per day in the postoperative period through to postoperative day(POD)7.We followed up with the patients at 1 month after LT.The patients were divided into the AKI and non-AKI groups according to the Kidney Disease Improving Global Outcomes criteria.RESULTS Of 121 patients were included in the study(mean age:50.18±8.88years;female:17.36%).AKI developed in 53 patients(43.80%).The AKI and non-AKI groups were similar in terms of their baseline characteristics.An HRI of≤1.12 on POD 1 detected AKI with a sensitivity of 62.30%and a specificity of 87.80%[area under the receiver operating characteristic curve(AUC)=0.801,P<0.01].An RRI of≥0.65 on POD 1 detected AKI with a sensitivity of 87.80%and a specificity of 67.60%(AUC=0.825,P<0.01).The HRI combined with the RRI was more effective at detecting AKI than either the HRI or RRI alone(AUC=0.890,P<0.01).The HRI increased as AKI resolved while the RRI decreased as AKI resolved.CONCLUSION The HRI and RRI are non-invasive bedside indices that can identify the occurrence and recovery of early AKI after LT.
文摘The statistics of the China natural gas industry prosperity index showed that the China natural gas industry prosperity index was 357.68 in the 2nd quarter of 2025,up 3.1% from the 1st quarter of 2025,a stably prosperous state in the short term and a very prosperous state in the medium to long term;the prosperity index of natural gas production companies was 542.01 in the 2nd quarter of 2025,up 4.8% from the 1st quarter of 2025,an increasingly prosperous state in the short term and a very prosperous state in the medium to long term;the prosperity index of natural gas sales companies was 209.06 in the 2nd quarter of 2025,up 0.4% from the 1st quarter of 2025,an increasing prosperity in the short term and a prosperous state in the medium to long term;the prosperity trend index of the natural gas industry in the coming year for the 2nd quarter of 2025 was 765.70,up 4.1% from the 1st quarter of 2025,a very prosperous state,indicating that natural gas industry experts are optimistic about the natural gas industry’s prosperity trend in the coming year.See Fig.1 and Table 1 for details.
文摘On June 12th, 2024, Clarivate Analytics officially notified that the journal of Chinese Medicine and Culture (CMC) met the necessary selection criteria, and has been included in the Emerging Sources Citation Index(ESCI) database. The journal is expected to receive its first Impact Factor(IF) in 2025, marking a new stage of its development.
基金supported by the National Natural Science Foundation of China(No.12174199)the Wanjing Horizontal Research and Development Fund for Nature(No.HJ1060319960015).
文摘Based on optofluidics and whispering gallery mode(WGM)theory,here an optofluidic refractive index sensor with microtube-coupled suspended core fiber(SCF)is proposed.It solves the issues of general sensors with microcavity-coupled fiber taper such as too fragile,unstable performance due to open coupling,poor portability and repeatability,while overcoming the poor performance of low refractive index sensing in general full-package fiber sensors.The sensor only needs a very small amount of liquid sample(about 1.8 nL).The proposed sensor combines the excellent performance of full package,optofluidics and WGM resonator.The resonant characteristics and sensing performance of the sensor are analyzed and discussed by the theoretical simulation.The simulation results indicate that the sensor has a wide refractive index sensing range(1.330-1.700)and good performance.The resonance wavelength shift has a good linear relationship with the liquid refractive index variation.In the low refractive index region,the sensitivity is 222.5-247.5 nm/RIU,Q-factor is 1.03×10^(3) and the detection limit is 3.64×10^(-4) RIU.In the medium and high refractive index regions,the sensitivity is 564.4-846.2 nm/RIU,Q-factor is up to 8.62×10^(4),and the detection limit can be as low as 1.29×10^(-6) RIU.The sensor exhibits a high sensitivity,a high Q-factor and a very low detection limit.
基金Supported by Health Research Program of Anhui,No.AHWJ2023BAc10010Clinical and Translational Research Project of Anhui Province,No.202427b10020078。
文摘BACKGROUND The Zhejiang University(ZJU)index has been demonstrated to have notable value in predicting metabolic dysfunction-associated steatotic liver disease(MASLD)within Chinese populations.However,the correlation between the ZJU index and MASLD in type 2 diabetes mellitus(T2DM)patients remains to be elucidated.AIM To investigate the association between the ZJU index and MASLD among patients with T2DM.METHODS This cross-sectional study was conducted on hospitalised patients diagnosed with T2DM.Anthropometric measurements,laboratory data,and ultrasound results were initially collected from all patients.The ZJU index was subsequently calculated.Regression analysis was then used to explore risk factors affecting MASLD,and the optimal ZJU index cut-off value for diagnosing MASLD was determined using restricted cubic spline analysis.Finally,a new model for predicting MASLD in T2DM patients based on the ZJU index was constructed.This model was based on the risk factors identified by regression analysis,and the area under curve values were calculated.The validity and reliability of the models were then compared with each other.RESULTS A total of 688 patients with T2DM were included in this study.A significant positive correlation was identified between the ZJU index and the development of MASLD.Furthermore,the results of the restricted cubic spline analysis showed a non-linear association between ZJU index and MASLD.The ZJU value of 38.87 was identified as the key threshold for diagnosing MASLD.The new predictive model,which was developed by regression analysis,demonstrated a higher diagnostic value for MASLD and exhibited good accuracy in comparison with metabolic indices alone(area under curve=0.76,95%confidence interval:0.72-0.80).CONCLUSION The ZJU index has been shown to be linked to the risk of developing MASLD,and the new model constructed has been shown to possess good predictive value.
基金support provided by the National Natural Science Foundation of China(No:62361012)the Guizhou Science and Technology Department Foundation(ZK[2021]302)the invaluable backing from the Intelligent Evaluation and Early Warning Innovation Team for the Quality of Electric Power Equipment Manufacturing in Higher Education Institutions in Guizhou Province(QJJ[2023]064).
文摘This paper investigates the performance of a simultaneous wireless information and power transfer(SWIPT)enabled two-way one-relay(TWOR)system based on generalized carrier index differential chaos shift keying(GCI-DCSK).We derive the expressions for the proposed scheme’s bit error rate(BER),considering both additive white Gaussian noise(AWGN)and multipath Rayleigh fading channels.The simulation results demonstrate that the proposed SWIPT-enabled GCI-DCSK TWOR system performs slightly worse than the DCSK TWOR system without SWIPT at the same distance.However,a notable advantage of the proposed system is that the relay node is self-sustainable,which is particularly significant considering the challenges associated with battery replacement in relay nodes.Furthermore,we derive the outage probability and validate the accuracy of the derived formulas using simulation results.
文摘BACKGROUND The correlation between geriatric nutritional risk index(GNRI)and the prognosis of patients with osteoporosis or osteopenia has not been studied.This study aims to explore the relationship between GNRI and the cardiovascular disease(CVD)and all-cause mortality rates in elderly patients with osteoporosis or osteopenia.METHODS This study included 4756 patients with osteoporosis and osteopenia from five cycles of the National Health and Nutrition Examination Survey(NHANES).We used multivariable Cox regression and subgroup analyses to investigate the correlation between GNRI and mortality rates.The restricted cubic spline analysis was used to assess the dose-response relationship between GNRI and mortality risk.Mediation analysis was conducted to examine the mediating effect of chronic kidney disease on the relationship between nutritional risk and mortality.RESULTS During a median follow-up period of 114 months,a total of 1241 deaths(26.09%)occurred,including 300 deaths due to CVD(6.31%).In the fully adjusted Model 3,compared to the no-risk group,the risk group showed significantly increased all-cause mortality risk(HR=2.05,95%CI:1.74–2.40)and CVD mortality risk(HR=1.88,95%CI:1.30–2.71).The restricted cubic spline analysis indicated a non-linear association between GNRI and all-cause mortality risk as well as CVD mortality risk.The mediation analysis results indicated that chronic kidney disease mediates 16.9%of the effect of nutritional risk on all-cause mortality and 25.3%on CVD mortality risk.CONCLUSIONS GNRI can serve as a predictive factor for all-cause and CVD mortality rates in elderly patients with osteoporosis or osteopenia.
