Damage indices are effective in quantifying structural seismic damage.Numerous response-based damage indices have been developed and validated through the hysteretic response of various experimental specimens.However,...Damage indices are effective in quantifying structural seismic damage.Numerous response-based damage indices have been developed and validated through the hysteretic response of various experimental specimens.However,the accuracy of these indices for evaluating damage of RC columns is challenged by fluctuating axial load and irregular horizontal loading paths from 3-D earthquake excitations.This study introduces D_(iem),a material-based damage model for RC columns under random bidirectional loads and variable axial forces.Section damage indices of the plastic hinge are calculated by integrating the damage indices of concrete and steel fiber elements,considering their distance to the centroid axis.The P-Δeffect index is defined,and the component failure index is calculated using a combination of these indices.A hysteretic simulation and D_(iem)damage analysis program for cantilever RC columns is developed using Fortran.Three RC columns tested under bidirectional hysteretic loading are simulated to calibrate the program.Parameter analysis of 1,638 RC columns is conducted to verify D_(iem)’s applicability.The results demonstrated that D_(iem)’s failure assessment aligns with the 80%residual criterion.D_(iem)analysis of a real seismic damaged RC column shows satisfactory agreement with post-earthquake damage assessment and illustrates significant damage differences between columns with and without axial load fluctuation.展开更多
In this editorial,we discuss the recent article by Regassa et al,published in the World Journal of Diabetes,which highlights the potential role of platelet indices(PI)in predicting poor glucoregulation in patients wit...In this editorial,we discuss the recent article by Regassa et al,published in the World Journal of Diabetes,which highlights the potential role of platelet indices(PI)in predicting poor glucoregulation in patients with type 2 diabetes mellitus(T2DM).Given the high morbidity and mortality associated with T2DM,there is a constant need to find new and accessible methods for predicting and treating individuals with this condition.The pathophysiology of T2DM involves systemic inflammation,metabolic dysfunction,and an increased risk of vascular injury,which are commonly associated with the development of microvascular and macrovascular complications,such as cardiovascular diseases and neuropathies.The link between these complications and T2DM requires further elucidation but may be explained by prolonged exposure to high glycemic levels and increased advanced glycation end products.PI might play an important role in determining whether some individuals are prone to poor glucoregulation.Recent evidence encourages the scientific efforts to demonstrate the consistency of this role and its applicability in monitoring glucoregulation,underscoring the importance of the study by Regassa et al.展开更多
Ischemic stroke is the leading cause of death in the Chinese population.The incidence of cerebral infarction is higher in high-altitude regions,particularly those above 3,500 m,than in populations residing at lower al...Ischemic stroke is the leading cause of death in the Chinese population.The incidence of cerebral infarction is higher in high-altitude regions,particularly those above 3,500 m,than in populations residing at lower altitudes[1].There are various speculations regarding the mechanisms behind this phenomenon,one of which is that the low oxygen content and cold climate at high altitudes may increase the occurrence of vascular diseases[2].The multifactorial effect of high-altitude environments on residential populations makes it challenging for researchers to determine the specific pathways through which these diseases occur.展开更多
The attenuation of the acoustic activity in marble specimens under uniaxial compressive loadingunloading loops is quantified in juxtaposition to that of the electric activity.In parallel,the existence of"pre-fail...The attenuation of the acoustic activity in marble specimens under uniaxial compressive loadingunloading loops is quantified in juxtaposition to that of the electric activity.In parallel,the existence of"pre-failure indiceso"warning about entrance into a critical stage,that of impending fracture,is explored.The acoustic activity is quantified in terms of the normalized number of acoustic hits,their average rate of production and their cumulative energy,and,the cumulative counts and their average rate of change.The electric activity is studied in terms of the pressure stimulated currents and the electric charge released.The analysis revealed that the acoustic and electric activities are linearly correlated to each other,suggesting that they are different manifestations of the same damage mechanisms.In addition,Kaiser's effect,governing the acoustic activity,is found to govern,also,the electric activity.Moreover,it is concluded that entrance into the critical stage is safely predicted by means of a simple criterion,based on the evolution of the average rate of change of the normalized cumulative counts in the natural time domain.These predictions are almost identical with those of the criterion based on the "varianceo" and the "entropies" of the time series of acoustic events in this domain.展开更多
As the world grapples with increasing environmental challenges,innovative technologies are essential for promoting sustainability and accountability.This study examined the impact of environmental performance indices(...As the world grapples with increasing environmental challenges,innovative technologies are essential for promoting sustainability and accountability.This study examined the impact of environmental performance indices(EPIs)on the growth and investment trends of blockchain-based sustainability-focused companies in 15 countries(Belgium,Czechia,Denmark,Estonia,Finland,France,Germany,Italy,Norway,Poland,Sweden,Spain,Switzerland,the United Kingdom,and the United States)from Europe and America during 2010-2022.This study used the negative binomial regression model to assess the relationship between EPIs and blockchain-based sustainability-focused companies based on the data from the CrunchBase and EarthData.Results indicated that in ecosystem vitality,national terrestrial biome protection efforts were negatively correlated the formation of blockchain-based sustainability-focused companies,while global terrestrial biome protection efforts and marine protected areas had a positive impact on the formation of these companies and the number of funding rounds.In environmental health,PM2.5 exposure had a positive impact on the number of funding rounds.Conversely,pollutants such as sulfur dioxide(SO_(2))and ocean plastics deterred the formation of blockchain-based sustainability-focused companies and reduced the number of funding rounds.In climate change performance,adjusted emission growth rate for carbon dioxide(CO_(2)),adjusted emission growth rate for F-gases,and adjusted emission growth rate for black carbon had a significantly positive impact on the formation of blockchain-based sustainability-focused companies.Conversely,adjusted emission growth rate for Nitrous Oxide(N_(2)O)and projected greenhouse gas emissions in 2050 negatively affected the formation of these companies.These findings highlight the dual role of EPIs as driving factors and barriers in the development and investment of blockchain-based sustainability-focused companies in countries from Europe and America.展开更多
Accurate and timely estimation of above-ground biomass is crucial for understanding crop growth dynamics,optimizing agricultural input management,and assessing productivity in sustainable farming practices.However,con...Accurate and timely estimation of above-ground biomass is crucial for understanding crop growth dynamics,optimizing agricultural input management,and assessing productivity in sustainable farming practices.However,conventional biomass assessments are destructive and resource-intensive.In contrast,remote sensing techniques,particularly those utilizing low-altitude unmanned aerial vehicles,provide a non-destructive approach to collect imagery data on plant canopy features,including spectral reflectance and structural details at any stage of the crop life cycle.This study explores the potential visible-light-derived vegetative indices to improve biomass prediction during the flowering period of buckwheat(Fagopyrum tataricum).Red,green,and blue(RGB)images of buckwheat were acquired during peak flowering,using a DJI P4 multispectral Drone.From the analysis of those images,four vegetative indices were calculated.Aboveground fresh biomass was harvested and measured on 14 September 2024.The results showed negative correlations between the green-band based excess green(ExG),excess green minus excess red(ExGR),and green leaf index(GLI)indices and the fresh above-ground biomass of buckwheat,while the red band-based excess red(ExR)index showed an insignificant positive correlation at p<0.10.An investigation into greenband-based vegetation indices(VIs)for estimating fresh biomass revealed significant negative correlations during the experimental period.This unexpected inverse relationship is attributed to spectral interference from abundant white flowers during the flowering stage,where the high reflectance of white petals masked the green vegetation signal.Consequently,these green-band VIs demonstrated limited predictive power for biomass under such conditions,indicating that their utility is compromised when floral reflectance is dominant.Therefore,we suggest that further experiments are required to validate this relationship and improve the estimation of fresh above-ground biomass in white-flowered buckwheat plants.展开更多
BACKGROUND The primary complication associated with gestational diabetes mellitus(GDM)is delivery of an infant that is large for gestational age(LGA).Epidemiological findings have demonstrated that irregular lipid met...BACKGROUND The primary complication associated with gestational diabetes mellitus(GDM)is delivery of an infant that is large for gestational age(LGA).Epidemiological findings have demonstrated that irregular lipid metabolism significantly con-tributes to insulin resistance,a key pathophysiological mechanism in GDM.However,the correlation between various lipid indices and the probability of delivering LGA infants remains inconsistent.AIM To explore the relationships between lipid indices and the possibility of having LGA infants among GDM-affected pregnant females.METHODS Binary logistic regression methods were employed to evaluate the odds ratios and corresponding 95%confidence intervals for LGA according to five lipid indices.Restricted cubic spline models were applied to investigate dose-response relationships.The association between lipid indices and the risk of delivering LGA infants was further investigated among different subgroups.Receiver operating characteristic curves were utilized to assess the diagnostic performance of lipid indices.RESULTS Across crude and adjusted models,females with lipid indices in the upper two tertiles presented a markedly elevated risk of delivering LGA infants compared with the lowest tertile category.Conversely,high-density lipoprotein cholesterol levels demonstrated the contrary trend.Restricted cubic spline analyses revealed linear associations between the five lipid indices,except triglyceride levels,and the prevalence of LGA.The subgroup analysis highlighted that the correlation between lipid indices and the probability of LGA was inconsistent.The five lipid indices presented significant diagnostic efficacy,as indicated by receiver operating characteristic curve areas.CONCLUSION Our research demonstrated that lipid indices were effective predictors of the incidence of LGA infants in GDM-affected pregnancies irrespective of potential confounding factors.展开更多
The utilization of palynological data for plant diversity reconstructions offers notable advantages in addressing the discontinuity of plant fossils in the stratigraphic record. However, additional studies of modern p...The utilization of palynological data for plant diversity reconstructions offers notable advantages in addressing the discontinuity of plant fossils in the stratigraphic record. However, additional studies of modern processes are required to validate or refine the accuracy of diversity results obtained from palynological data. In this study, we used a modern pollen dataset of China to compare the accuracy of plant diversity reconstructions using five different palynological diversity indices(i.e., the pollen species number, Berger-Parker index, Simpson diversity index, Hill index, and Shannon-Wiener index) over a large spatial scale. We then identified climate factors that are most strongly correlated with these patterns of plant diversity. We found that the index that most accurately reflects plant diversity is the Shannon-Wiener index. Our analyses indicated that the most effective indices at reflecting plant diversity are the Shannon-Wiener index and Berger-Parker index. Numerical analysis revealed that palynological diversity(measured using the Shannon-Wiener index) was strongly correlated with climatic parameters, in particular average temperature in the coldest month and annual precipitation,suggesting these factors may be primary determinants of plant diversity distribution. We also found that a threshold value of the normalized Shannon-Wiener index(NH = 0.4) approximately aligns with the contour line specifying 400 mm annual precipitation, serving as a rudimentary indicator for assessing plant diversity in arid versus humid climates. This study suggests that pollen diversity indices have remarkable potential for quantitatively reconstructing paleoclimatic parameters.展开更多
Platelet indices(PIs)including high mean platelet volume(MPV),plateletcrit(PLC),and platelet distribution width(PLDW)are associated with poor glycemic control.In addition,they can indicate prothrombotic and procoagula...Platelet indices(PIs)including high mean platelet volume(MPV),plateletcrit(PLC),and platelet distribution width(PLDW)are associated with poor glycemic control.In addition,they can indicate prothrombotic and procoagulation risk among patients with diabetes.PI measurement is cheap,quick and fits healthcare system needs in remote outreaching areas in low-income countries.However,a broader insight into their clinical implications in diabetes is lacking.To achieve a wider understanding,we reviewed PubMed/MEDLINE,Google Scholar and Cochrane Library for relevant articles investigating the role of PIs in diabetes mellitus.No limitation to the publication date was applied,which included all articles published up to August 17,2024.The terms used were MPV,PLC,PLDW,platelet large cell ratio,glycated hemoglobin(HbA1c),PIs,platelet activity and diabetes mellitus.Out of the 790 articles retrieved,187 full texts were reviewed,and 44 were included.PIs,when measurements are done promptly and within 2 h,could be short-term pointers to glycemic control in the life span of the platelets(2 wk).PIs are easy to perform,cheap and useful in remote outreaching areas with limited facilities where measurement of HbA1c is not available or cost-effective.However,PIs are not specific and are affected by demographic factors,such as pregnancy,renal failure,medications,hemoglobin and duration of diabetes.PIs could be implemented with daily blood glucose to inform doctors in low-income countries about their patients'glycemic control and cardiovascular risk.An important application might be when blood glucose control is needed quickly(before elective surgery).展开更多
0 INTRODUCTION The Qilian Mountain Belt,at the forefront of the Tibetan Plateau's expansion,offers key insights into the plateau's tectonic deformation(Zuza et al.,2018;Zheng et al.,2010;Zhang et al.,2004;Tapp...0 INTRODUCTION The Qilian Mountain Belt,at the forefront of the Tibetan Plateau's expansion,offers key insights into the plateau's tectonic deformation(Zuza et al.,2018;Zheng et al.,2010;Zhang et al.,2004;Tapponnier et al.,2001;Meyer et al.,1998).The northwest-trending mountain ranges in the Qilian Shan(“Shan”means“Mountain”in Chinese)have significantly influenced this deformation(Zheng et al.,2013).展开更多
BACKGROUND Some non-insulin-based insulin resistance(IR)indices have been found to be associated with metabolic syndrome(MetS);however,few cohort studies have compared the capacities of these indices for predicting in...BACKGROUND Some non-insulin-based insulin resistance(IR)indices have been found to be associated with metabolic syndrome(MetS);however,few cohort studies have compared the capacities of these indices for predicting incident MetS in young adults.AIM To investigate the associations of various non-insulin-based IR(NI-IR)indices with new-onset MetS in young military personnel.METHODS A total of 2890 armed forces personnel in Taiwan who were aged 18-39 years and did not have MetS at baseline were followed to monitor the incidence of new-onset MetS from 2014 to the end of 2020.Six NI-IR indices,including the metabolic score for IR(METS-IR),triglyceride(TG)-to-high-density lipoprotein cholesterol(HDL-C)ratio,TG glucose(TyG)index,Zhejiang University(ZJU)index,total cholesterol(TC)-to-HDL-C ratio,and alanine transaminase(ALT)-to-aspartate transaminase(AST)ratio,were defined according to specific criteria.Incident MetS was identified on the basis of each annual health examination using the International Diabetes Federation criteria.Multiple Cox regression analyses were conducted,adjusting for age,sex,waist circumference,smoking status,alcohol consumption status,and physical activity,to assess the associations of the NI-IR indices with incident MetS.The area under the receiver operating characteristic curve(AUROC)was used to compare the capacities of these NI-IR indices for predicting new-onset MetS.RESULTS During a median follow-up of 5.8 years,there were 673 patients with new-onset MetS(23%).All six of the NI-IR indices were significantly and positively associated with incident MetS.In the entire cohort,the greatest AUROC was found for the METS-IR[0.782;95%confidence interval(CI):0.762-0.801;all P values compared to the other NIIR indices<0.05],followed by the TG/HDL-C ratio(0.752;95%CI:0.731-0.772),ZJU index(0.743;95%CI:0.722-0.764),TyG index(0.734;95%CI:0.713-0.756),TC/HDL-C ratio(0.731;95%CI:0.709-0.752),and then the ALT/AST ratio(0.734;95%CI:0.713-0.756).CONCLUSION This study suggests that almost all the NI-IR indices are associated with the development of MetS in military young adults.The METS-IR is the strongest predictor of new-onset MetS before midlife.展开更多
The accurate and timely detection of biochemical coagulation indicators is pivotal in pulmonary and critical care medicine.Despite their reliability,traditional laboratories often lag in terms of rapid diagnosis.Point...The accurate and timely detection of biochemical coagulation indicators is pivotal in pulmonary and critical care medicine.Despite their reliability,traditional laboratories often lag in terms of rapid diagnosis.Point-of-care testing(POCT)has emerged as a promising alternative,which is awaiting rigorous validation.We assessed 226 samples from patients at the First Affiliated Hospital of Guangzhou Medical University using a Beckman Coulter AU5821 and a PUSHKANG POCT Biochemistry Analyzer MS100.Furthermore,350 samples were evaluated with a Stago coagulation analyzer STAR MAX and a PUSHKANG POCT Coagulation Analyzer MC100.Metrics included thirteen biochemical indexes,such as albumin,and five coagulation indices,such as prothrombin time.Comparisons were drawn against the PUSHKANG POCT analyzer.Bland-Altman plots(MS100:0.8206-0.9995;MC100:0.8318-0.9911)evinced significant consistency between methodologies.Spearman correlation pinpointed a potent linear association between conventional devices and the PUSHKANG POCT analyzer,further underscored by a robust correlation coefficient(MS100:0.713-0.949;MC100:0.593-0.950).The PUSHKANG POCT was validated as a dependable tool for serum and whole blood biochemical and coagulation diagnostics.This emphasizes its prospective clinical efficacy,offering clinicians a swift diagnostic tool and heralding a new era of enhanced patient care outcomes.展开更多
BACKGROUND Recent studies have indicated that triglyceride glucose(TyG)-waist height ratio(WHtR)and TyG-waist circumference(TyG-WC)are effective indicators for evaluating insulin resistance.However,research on the ass...BACKGROUND Recent studies have indicated that triglyceride glucose(TyG)-waist height ratio(WHtR)and TyG-waist circumference(TyG-WC)are effective indicators for evaluating insulin resistance.However,research on the association in TyG-WHtR,TyG-WC,and the risk and prognosis of major adverse cardiovascular events(MACEs)in type 2 diabetes mellitus(T2DM)cases are limited.AIM To clarify the relation in TyG-WHtR,TyG-WC,and the risk of MACEs and overall mortality in T2DM patients.METHODS Information for this investigation was obtained from Action to Control Cardiovascular Risk in Diabetes(ACCORD)/ACCORD Follow-On(ACCORDION)study database.The Cox regression model was applied to assess the relation among TyG-WHtR,TyG-WC and future MACEs risk and overall mortality in T2DM cases.The RCS analysis was utilized to explore the nonlinear correlation.Subgroup and interaction analyses were conducted to prove the robustness.The receiver operating characteristic curves were applied to analysis the additional predicting value of TyG-WHtR and TyG-WC.RESULTS After full adjustment for confounding variables,the highest baseline TyG-WHtR cohort respectively exhibited a 1.353-fold and 1.420-fold higher risk for MACEs and overall mortality,than the lowest quartile group.Similarly,the highest baseline TyG-WC cohort showed a 1.314-fold and 1.480-fold higher risk for MACEs and overall mortality,respectively.Each 1 SD increase in TyG-WHtR was significantly related to an 11.7%increase in MACEs and a 14.9%enhance in overall mortality.Each 1 SD increase in TyG-WC corresponded to an 11.5%in MACEs and a 16.6%increase in overall mortality.Including these two indexes in conventional models significantly improved the predictive power for MACEs and overall mortality.CONCLUSION TyG-WHtR and TyG-WC were promising predictors of MACEs and overall mortality risk in T2DM cases.展开更多
Freezing–thawing indices serve as a comprehensive indicator of both the duration of the freezing/thawing periods and the degree of cold and heat in a given region.In-depth analysis of the freezing-thawing indices not...Freezing–thawing indices serve as a comprehensive indicator of both the duration of the freezing/thawing periods and the degree of cold and heat in a given region.In-depth analysis of the freezing-thawing indices not only enables the prediction of permafrost distribution and its dynamic changes,but also facilitates the assessment of damage risk to infrastructure under freeze-thaw action.In this paper,the air/ground freezing–thawing indices from 1987 to 2017,based on daily temperature observations from meteorological stations along the China–Nepal Highway(CNH),were calculated,and their spatial and temporal variation patterns were analyzed.The results showed that:(1)Both mean annual air temperature and mean annual ground surface temperature along the CNH fluctuated upward,with climate tendency rates of 0.43 and 0.52.C·(10a)~(-1),respectively;(2)The number of days with negative air temperature and ground temperature showed fluctuated downward,with change rates of-8.6 and-8.3 d·(10a)~(-1),respectively;(3)The ranges of air freezing index,air thawing index,ground freezing index,and ground thawing index over the years were 157.05-458.88°C·d,2034.20-2560.73°C·d,108.78-396.83°C·d,and 3515.25-4288.67°C·d,respectively.The climate tendency rates were-5.42,10.22,-6.79,and 12.14.C·d·a-1,respectively,showing a general warming trend;(4)The air freezing index,ground freezing index,and ground thawing index changed abruptly in 1999,2000,and 2002,respectively,evincing significant changes after 2002.The research results can provide a basis for the risk assessment of freezing–thawing erosion and the prevention and control of permafrost engineering diseases along the CNH.展开更多
Morpho-physiological evaluation of a crop’s genetic resources is necessary to find possible genotypes to include in breeding initiatives.The objective of this study was to identify heat-tolerant wheat genotypes among...Morpho-physiological evaluation of a crop’s genetic resources is necessary to find possible genotypes to include in breeding initiatives.The objective of this study was to identify heat-tolerant wheat genotypes among 36 mutant lines using morpho-physiological indices.Seedlings of mutant lines and check varieties were grown under both normal(control)and heat-stress conditions in growth chambers.Data were recorded on root-shoot parameters(length,fresh weight,dry weight,and ratio),relative water content(RWC),stability of cell membrane,pigment content,and chlorophyll fluorescence.Two-way analysis of variance showed significant(p<0.01,p<0.001)variation among 15 morpho-physiological features in both growing conditions.Correlation studies showed that pigment-specific indices(total chl,chl a,chl b,carotenoid,Fv/Fm—chlorophyll fluorescence)had significant positive correlations with rootshoot fresh weight(RFW,SFW)and root-shoot dry weight(RDW,SDW),and negative association with relative water content,stability of cell membrane at both conditions.Hierarchical cluster analysis revealed three primary clusters where cluster III(18 genotypes)showed minimal changes in studied characters than cluster I(11 genotypes)and cluster II(13 genotypes).Results obtained from this study revealed that the identified heat-sensitive(30-2 SSH)and heat-tolerant genotypes(27-2(4),29-2(2),and 30-2 SSH)of wheat might provide useful breeding materials for enhancing wheat yield even more in this period of uncertain climate change.展开更多
BACKGROUND Diabetes is a chronic metabolic syndrome that has become a global public health problem with significant morbidity and mortality.It is a pro-inflammatory and pro-thrombotic condition characterized by increa...BACKGROUND Diabetes is a chronic metabolic syndrome that has become a global public health problem with significant morbidity and mortality.It is a pro-inflammatory and pro-thrombotic condition characterized by increased platelet activation and alterations in platelet indices.However,the use of platelet indices as predictors of poor glucoregulation has not been fully evaluated in this context,and evidence for their role as predictors of poor glycemic status in diabetic patients is limited.AIM To evaluate platelet indices and determine their prognostic significance in relation to inadequate glucoregulation among individuals diagnosed with type 2 diabetes at Bishoftu General Hospital in Ethiopia,from June 15 to August 12,2022.METHODS A comparative cross-sectional study was conducted in 261 participants including 174 individuals with type 2 diabetes mellitus(T2DM)and 87 non-diabetic controls.The systematic random sampling technique was used to select participants.Data were collected using structured questionnaires,physical measurements,checklists,and laboratory tests.Platelet parameters and fasting blood glucose levels were determined from blood samples using Sysmex-XN550 and CobasC311 analyzers,respectively.The hematology analyzer output was checked and participants were also screened for malaria parasites using a prepared blood smear.Collected data were entered into Epi-data version 3.1 and exported to SPSS version 25 for analysis.Theχ^(2) test,Mann-Whitney U test,Kruskal-Wallis test,post hoc test,Spearman correlation,and receiver operating characteristic curve were used for analysis.A P value<0.05 was considered statistically significant.RESULTS The results of our study indicate that diabetic patients have significantly higher levels of platelet distribution width(PDW),mean platelet volume(MPV),platelet large cell ratio(PLCR),and plateletcrit(PCT)compared to healthy individuals(P<0.001).Furthermore,these indices were found to be significantly elevated in individuals with poor glycemic control in T2DM compared to those with good glycemic control and healthy controls.We also observed significant correlations between these indices and various anthropometric and clinical variables.Our findings suggest that PDW,with a cut-off value of 15.75 fL and an area under the curve(AUC)of 0.803,MPV,with a cut-off value of 12.25 fL and an AUC of 0.774,PLCR,with a cut-off value of 36.3%and an AUC of 0.775,and PCT,with a cut-off value of 0.24%and an AUC of 0.761,can serve as predictors of poor glycemic control in patients with diabetes mellitus.CONCLUSION The observed correlation between diabetic patients and a significant increase in platelet indices has highlighted their potential as predictors of poor glycemic control in diabetes.Therefore,regular screening and profiling of platelet indices is recommended as part of the follow-up process for individuals with diabetes mellitus.展开更多
The contribution of spike photosynthesis to grain yield(GY)has been overlooked in the accurate spectral prediction of yield.Thus,it’s essential to construct and estimate a yield-related phenotypic trait considering s...The contribution of spike photosynthesis to grain yield(GY)has been overlooked in the accurate spectral prediction of yield.Thus,it’s essential to construct and estimate a yield-related phenotypic trait considering spike photosynthesis.Based on field and spectral reflectance data from 19 wheat cultivars under two nitrogen fertilization conditions in two years,our objectives were to(i)construct a yield-related phenotypic trait(spike–leaf composite indicator,SLI)accounting for the contribution of the spike to photosynthesis,(ii)develop a novel spectral index(enhanced triangle vegetation index,ETVI3)sensitive to SLI,and(iii)establish and evaluate SLI estimation models by integrating spectral indices and machine learning algorithms.The results showed that SLI was sensitive to nitrogen fertilizer and wheat cultivar variation as well as a better predictor of yield than the leaf area index.ETVI3 maintained a strong correlation with SLI throughout the growth stage,whereas the correlations of other spectral indices with SLI were poor after spike emergence.Integrating spectral indices and machine learning algorithms improved the estimation accuracy of SLI,with the most accurate estimates of SLI showing coefficient of determination,root mean square error(RMSE),and relative RMSE values of 0.71,0.047,and 26.93%,respectively.These results provide new insights into the role of fruiting organs for the accurate spectral prediction of GY.This high-throughput SLI estimation approach can be applied for wheat yield prediction at whole growth stages and may be assisted with agronomical practices and variety selection.展开更多
This article utilizes daily precipitation data from 28 national meteorological stations in northern Shanxi Province spanning from 1972 to 2020,and the US NCEP/NCAR monthly average reanalysis and ERA5 monthly average r...This article utilizes daily precipitation data from 28 national meteorological stations in northern Shanxi Province spanning from 1972 to 2020,and the US NCEP/NCAR monthly average reanalysis and ERA5 monthly average reanalysis data.The study employs techniques such as empirical orthogonal function(EOF)decomposition,MannKendall mutation and other methods to investigate the spatiotemporal distribution of extreme precipitation index in northern Shanxi and their correlation with atmospheric circulation.The research results show that:the absolute index,relative index,intensity index and sustained dry period index(CDD)in the continuous index appear from southwest to northeast.The spatial distribution characteristics of the central region decrease,while the continuous wet period(CWD)decreases from the central to the east and west.The three indices Rx1day,Rx5day,and CWD mutated in 1978,1975,and 1983 respectively,and other extreme precipitation indices all appeared in a sudden change from a low-value period to a high-value period occurred around 2010.In the high-value years of the summer extreme precipitation index,there is a significant negative anomaly in the height field in the mid-high latitude regions of Eurasia.Northern Shanxi is controlled by a broad low-pressure trough in the Lake Baikal area.Water vapor transported via the east,west,and south routes converges in the northern Shanxi region and encounters cold air from the north.There is a strong upward motion anomaly at 500 hPa in the troposphere,and the dynamic conditions of upper-level divergence and lower-level convergence lead to more summer extreme precipitation in the northern Shanxi region.Conversely,in the low-value years of the summer extreme precipitation index,northern Shanxi is affected by a strong high-pressure ridge north of Lake Baikal.There is a downward motion anomaly at 500 hPa,and the northern Shanxi region lacks water vapor.The cold and warm air cannot converge,and both the water vapor conditions and dynamic conditions are poor,which is not conducive to the production of extreme precipitation in northern Shanxi.展开更多
The study of extreme weather and space events has gained paramount importance in modern society owing to rapid advances in high technology.Understanding and describing exceptional occurrences plays a crucial role in m...The study of extreme weather and space events has gained paramount importance in modern society owing to rapid advances in high technology.Understanding and describing exceptional occurrences plays a crucial role in making decisive assessments of their potential impact on technical,economic,and social aspects in various fields.This research focuses on analyzing the hourly values of the auroral electrojet(AE)geomagnetic index from 1957 to 2019 by using the peak over threshold method in extreme value theory.By fitting the generalized Pareto distribution to extreme AE values,shape parameter indices were derived,revealing negative values that establish an upper bound for this time series.Consequently,it became evident that the AE values had reached a plateau,suggesting that extreme events exceeding the established upper limit are rare.As a result,although the need for diligent precautions to mitigate the consequences of such extreme events persists,surpassing the upper limit of AE values becomes increasingly challenging.It is also possible to observe an aurora in the middle-and low-latitude regions during the maximum period of the AE index.展开更多
This study aimed to investigate the effects of fermented puffed feather meal(FPFM)on growth performance,serum biochemical indices,meat quality,and intestinal microbiota in Arbor Acres(AA)broilers.A single-factor desig...This study aimed to investigate the effects of fermented puffed feather meal(FPFM)on growth performance,serum biochemical indices,meat quality,and intestinal microbiota in Arbor Acres(AA)broilers.A single-factor design was adopted,and four treatments were administered with five replicates to 240 one-day-old AA broilers.The control group(group A)received a basal diet,while the experimental groups received a basal diet plus 33%(group B),67%(group C)and 100%(group D)FPFM,respectively.Compared with group A,(1)the average daily gain(ADG)in group C decreased(P<0.05),and the feed conversion ratio(FCR)in group D increased(P<0.05);(2)the level of serum urea nitrogen in treatment groups decreased(P<0.05),and the levels of triglyceride,high density lipoprotein,low density lipoprotein,cholesterol,and glucose contents in group D increased(P<0.05)at day 21;(3)the serum immunoglobulin M and immunoglobulin G in group B and the immunoglobulin A in group C increased(P<0.05)at day 21,and the serum immunoglobulin M and immunoglobulin G in group D decreased(P<0.05)at day 42;(4)the share force of breast muscle and thigh muscle in group D increased(P<0.05);(5)the villus height to crypt depth ratio in the jejunum of group B increased(P<0.05)at day 21,and the villus height in group C and D increased(P<0.05)at day 42;(6)the proteobacteria counts in the cecum digesta in treatment groups decreased(P<0.05)at day 21.The basal diet supplemented with 33%FPFM promoted protein metabolism,enhanced immunity and improved meat quality,promoted the digestion and absorption of nutrients,increased intestinal microbial diversity,and improved the content of beneficial bacteria without affecting the growth performance,it was possible to be used as a good substitute for fish meal.展开更多
基金Scientific Research Fund of Institute of Engineering Mechanics,China Earthquake Administration under Grant No.2019B12National Natural Science Foundation of China Youth Fund under Grant No.51108433National Natural Science Foundation of China under Grant No.51778186。
文摘Damage indices are effective in quantifying structural seismic damage.Numerous response-based damage indices have been developed and validated through the hysteretic response of various experimental specimens.However,the accuracy of these indices for evaluating damage of RC columns is challenged by fluctuating axial load and irregular horizontal loading paths from 3-D earthquake excitations.This study introduces D_(iem),a material-based damage model for RC columns under random bidirectional loads and variable axial forces.Section damage indices of the plastic hinge are calculated by integrating the damage indices of concrete and steel fiber elements,considering their distance to the centroid axis.The P-Δeffect index is defined,and the component failure index is calculated using a combination of these indices.A hysteretic simulation and D_(iem)damage analysis program for cantilever RC columns is developed using Fortran.Three RC columns tested under bidirectional hysteretic loading are simulated to calibrate the program.Parameter analysis of 1,638 RC columns is conducted to verify D_(iem)’s applicability.The results demonstrated that D_(iem)’s failure assessment aligns with the 80%residual criterion.D_(iem)analysis of a real seismic damaged RC column shows satisfactory agreement with post-earthquake damage assessment and illustrates significant damage differences between columns with and without axial load fluctuation.
文摘In this editorial,we discuss the recent article by Regassa et al,published in the World Journal of Diabetes,which highlights the potential role of platelet indices(PI)in predicting poor glucoregulation in patients with type 2 diabetes mellitus(T2DM).Given the high morbidity and mortality associated with T2DM,there is a constant need to find new and accessible methods for predicting and treating individuals with this condition.The pathophysiology of T2DM involves systemic inflammation,metabolic dysfunction,and an increased risk of vascular injury,which are commonly associated with the development of microvascular and macrovascular complications,such as cardiovascular diseases and neuropathies.The link between these complications and T2DM requires further elucidation but may be explained by prolonged exposure to high glycemic levels and increased advanced glycation end products.PI might play an important role in determining whether some individuals are prone to poor glucoregulation.Recent evidence encourages the scientific efforts to demonstrate the consistency of this role and its applicability in monitoring glucoregulation,underscoring the importance of the study by Regassa et al.
基金supported by the National Natural Science Foundation of Chongqing,China(CSTB2022NSCQ-MSX1100)National Natural Science Foundation of China(grant no.82101499).
文摘Ischemic stroke is the leading cause of death in the Chinese population.The incidence of cerebral infarction is higher in high-altitude regions,particularly those above 3,500 m,than in populations residing at lower altitudes[1].There are various speculations regarding the mechanisms behind this phenomenon,one of which is that the low oxygen content and cold climate at high altitudes may increase the occurrence of vascular diseases[2].The multifactorial effect of high-altitude environments on residential populations makes it challenging for researchers to determine the specific pathways through which these diseases occur.
文摘The attenuation of the acoustic activity in marble specimens under uniaxial compressive loadingunloading loops is quantified in juxtaposition to that of the electric activity.In parallel,the existence of"pre-failure indiceso"warning about entrance into a critical stage,that of impending fracture,is explored.The acoustic activity is quantified in terms of the normalized number of acoustic hits,their average rate of production and their cumulative energy,and,the cumulative counts and their average rate of change.The electric activity is studied in terms of the pressure stimulated currents and the electric charge released.The analysis revealed that the acoustic and electric activities are linearly correlated to each other,suggesting that they are different manifestations of the same damage mechanisms.In addition,Kaiser's effect,governing the acoustic activity,is found to govern,also,the electric activity.Moreover,it is concluded that entrance into the critical stage is safely predicted by means of a simple criterion,based on the evolution of the average rate of change of the normalized cumulative counts in the natural time domain.These predictions are almost identical with those of the criterion based on the "varianceo" and the "entropies" of the time series of acoustic events in this domain.
文摘As the world grapples with increasing environmental challenges,innovative technologies are essential for promoting sustainability and accountability.This study examined the impact of environmental performance indices(EPIs)on the growth and investment trends of blockchain-based sustainability-focused companies in 15 countries(Belgium,Czechia,Denmark,Estonia,Finland,France,Germany,Italy,Norway,Poland,Sweden,Spain,Switzerland,the United Kingdom,and the United States)from Europe and America during 2010-2022.This study used the negative binomial regression model to assess the relationship between EPIs and blockchain-based sustainability-focused companies based on the data from the CrunchBase and EarthData.Results indicated that in ecosystem vitality,national terrestrial biome protection efforts were negatively correlated the formation of blockchain-based sustainability-focused companies,while global terrestrial biome protection efforts and marine protected areas had a positive impact on the formation of these companies and the number of funding rounds.In environmental health,PM2.5 exposure had a positive impact on the number of funding rounds.Conversely,pollutants such as sulfur dioxide(SO_(2))and ocean plastics deterred the formation of blockchain-based sustainability-focused companies and reduced the number of funding rounds.In climate change performance,adjusted emission growth rate for carbon dioxide(CO_(2)),adjusted emission growth rate for F-gases,and adjusted emission growth rate for black carbon had a significantly positive impact on the formation of blockchain-based sustainability-focused companies.Conversely,adjusted emission growth rate for Nitrous Oxide(N_(2)O)and projected greenhouse gas emissions in 2050 negatively affected the formation of these companies.These findings highlight the dual role of EPIs as driving factors and barriers in the development and investment of blockchain-based sustainability-focused companies in countries from Europe and America.
基金supported by the 2025 scientific promotion program funded by Jeju National University.
文摘Accurate and timely estimation of above-ground biomass is crucial for understanding crop growth dynamics,optimizing agricultural input management,and assessing productivity in sustainable farming practices.However,conventional biomass assessments are destructive and resource-intensive.In contrast,remote sensing techniques,particularly those utilizing low-altitude unmanned aerial vehicles,provide a non-destructive approach to collect imagery data on plant canopy features,including spectral reflectance and structural details at any stage of the crop life cycle.This study explores the potential visible-light-derived vegetative indices to improve biomass prediction during the flowering period of buckwheat(Fagopyrum tataricum).Red,green,and blue(RGB)images of buckwheat were acquired during peak flowering,using a DJI P4 multispectral Drone.From the analysis of those images,four vegetative indices were calculated.Aboveground fresh biomass was harvested and measured on 14 September 2024.The results showed negative correlations between the green-band based excess green(ExG),excess green minus excess red(ExGR),and green leaf index(GLI)indices and the fresh above-ground biomass of buckwheat,while the red band-based excess red(ExR)index showed an insignificant positive correlation at p<0.10.An investigation into greenband-based vegetation indices(VIs)for estimating fresh biomass revealed significant negative correlations during the experimental period.This unexpected inverse relationship is attributed to spectral interference from abundant white flowers during the flowering stage,where the high reflectance of white petals masked the green vegetation signal.Consequently,these green-band VIs demonstrated limited predictive power for biomass under such conditions,indicating that their utility is compromised when floral reflectance is dominant.Therefore,we suggest that further experiments are required to validate this relationship and improve the estimation of fresh above-ground biomass in white-flowered buckwheat plants.
基金Supported by Nanjing Medical Science and Technique Development Foundation,No.YKK23151the Opening Foundation of Key Laboratory,No.JSHD202313+3 种基金Yingke Xinchuang Research Foundation of Jiangsu Blood Transfusion Association,No.JSYK2024006the Jiangsu Province Capability Improvement Project through Science,Technology and Education,No.ZDXYS202210Open Project of the State Key Laboratory of Reproductive Medicine of Nanjing Medical University,No.SKLRM-K202107the Jiangsu Provincial Maternal and Child Health Research Program,No.F202040.
文摘BACKGROUND The primary complication associated with gestational diabetes mellitus(GDM)is delivery of an infant that is large for gestational age(LGA).Epidemiological findings have demonstrated that irregular lipid metabolism significantly con-tributes to insulin resistance,a key pathophysiological mechanism in GDM.However,the correlation between various lipid indices and the probability of delivering LGA infants remains inconsistent.AIM To explore the relationships between lipid indices and the possibility of having LGA infants among GDM-affected pregnant females.METHODS Binary logistic regression methods were employed to evaluate the odds ratios and corresponding 95%confidence intervals for LGA according to five lipid indices.Restricted cubic spline models were applied to investigate dose-response relationships.The association between lipid indices and the risk of delivering LGA infants was further investigated among different subgroups.Receiver operating characteristic curves were utilized to assess the diagnostic performance of lipid indices.RESULTS Across crude and adjusted models,females with lipid indices in the upper two tertiles presented a markedly elevated risk of delivering LGA infants compared with the lowest tertile category.Conversely,high-density lipoprotein cholesterol levels demonstrated the contrary trend.Restricted cubic spline analyses revealed linear associations between the five lipid indices,except triglyceride levels,and the prevalence of LGA.The subgroup analysis highlighted that the correlation between lipid indices and the probability of LGA was inconsistent.The five lipid indices presented significant diagnostic efficacy,as indicated by receiver operating characteristic curve areas.CONCLUSION Our research demonstrated that lipid indices were effective predictors of the incidence of LGA infants in GDM-affected pregnancies irrespective of potential confounding factors.
基金co-supported by the National Key Research and Development Program of China(2022YFF0800800)the National Natural Science Foundation of China(41988101-01,42130205)the Second Tibetan Plateau Scientific Expedition and Research Program(2019QZKK0707)。
文摘The utilization of palynological data for plant diversity reconstructions offers notable advantages in addressing the discontinuity of plant fossils in the stratigraphic record. However, additional studies of modern processes are required to validate or refine the accuracy of diversity results obtained from palynological data. In this study, we used a modern pollen dataset of China to compare the accuracy of plant diversity reconstructions using five different palynological diversity indices(i.e., the pollen species number, Berger-Parker index, Simpson diversity index, Hill index, and Shannon-Wiener index) over a large spatial scale. We then identified climate factors that are most strongly correlated with these patterns of plant diversity. We found that the index that most accurately reflects plant diversity is the Shannon-Wiener index. Our analyses indicated that the most effective indices at reflecting plant diversity are the Shannon-Wiener index and Berger-Parker index. Numerical analysis revealed that palynological diversity(measured using the Shannon-Wiener index) was strongly correlated with climatic parameters, in particular average temperature in the coldest month and annual precipitation,suggesting these factors may be primary determinants of plant diversity distribution. We also found that a threshold value of the normalized Shannon-Wiener index(NH = 0.4) approximately aligns with the contour line specifying 400 mm annual precipitation, serving as a rudimentary indicator for assessing plant diversity in arid versus humid climates. This study suggests that pollen diversity indices have remarkable potential for quantitatively reconstructing paleoclimatic parameters.
文摘Platelet indices(PIs)including high mean platelet volume(MPV),plateletcrit(PLC),and platelet distribution width(PLDW)are associated with poor glycemic control.In addition,they can indicate prothrombotic and procoagulation risk among patients with diabetes.PI measurement is cheap,quick and fits healthcare system needs in remote outreaching areas in low-income countries.However,a broader insight into their clinical implications in diabetes is lacking.To achieve a wider understanding,we reviewed PubMed/MEDLINE,Google Scholar and Cochrane Library for relevant articles investigating the role of PIs in diabetes mellitus.No limitation to the publication date was applied,which included all articles published up to August 17,2024.The terms used were MPV,PLC,PLDW,platelet large cell ratio,glycated hemoglobin(HbA1c),PIs,platelet activity and diabetes mellitus.Out of the 790 articles retrieved,187 full texts were reviewed,and 44 were included.PIs,when measurements are done promptly and within 2 h,could be short-term pointers to glycemic control in the life span of the platelets(2 wk).PIs are easy to perform,cheap and useful in remote outreaching areas with limited facilities where measurement of HbA1c is not available or cost-effective.However,PIs are not specific and are affected by demographic factors,such as pregnancy,renal failure,medications,hemoglobin and duration of diabetes.PIs could be implemented with daily blood glucose to inform doctors in low-income countries about their patients'glycemic control and cardiovascular risk.An important application might be when blood glucose control is needed quickly(before elective surgery).
基金supported by the Second Tibetan Plateau Scientific Expedition and Research Program(STEP)(No.2019QZKK0901)the State Key Laboratory of Earthquake Dynamics(No.LED2023B04)+1 种基金the National Natural Science Foundation of China(Nos.42272242,W2411033,W2521003)the Science and Technology Plan of Gansu Province(No.22JR11RA088)。
文摘0 INTRODUCTION The Qilian Mountain Belt,at the forefront of the Tibetan Plateau's expansion,offers key insights into the plateau's tectonic deformation(Zuza et al.,2018;Zheng et al.,2010;Zhang et al.,2004;Tapponnier et al.,2001;Meyer et al.,1998).The northwest-trending mountain ranges in the Qilian Shan(“Shan”means“Mountain”in Chinese)have significantly influenced this deformation(Zheng et al.,2013).
基金Supported by Medical Affairs Bureau Ministry of National Defense,No.MND-MAB-D-114222Hualien Armed Forces General Hospital,No.HAFGH-D-114008.
文摘BACKGROUND Some non-insulin-based insulin resistance(IR)indices have been found to be associated with metabolic syndrome(MetS);however,few cohort studies have compared the capacities of these indices for predicting incident MetS in young adults.AIM To investigate the associations of various non-insulin-based IR(NI-IR)indices with new-onset MetS in young military personnel.METHODS A total of 2890 armed forces personnel in Taiwan who were aged 18-39 years and did not have MetS at baseline were followed to monitor the incidence of new-onset MetS from 2014 to the end of 2020.Six NI-IR indices,including the metabolic score for IR(METS-IR),triglyceride(TG)-to-high-density lipoprotein cholesterol(HDL-C)ratio,TG glucose(TyG)index,Zhejiang University(ZJU)index,total cholesterol(TC)-to-HDL-C ratio,and alanine transaminase(ALT)-to-aspartate transaminase(AST)ratio,were defined according to specific criteria.Incident MetS was identified on the basis of each annual health examination using the International Diabetes Federation criteria.Multiple Cox regression analyses were conducted,adjusting for age,sex,waist circumference,smoking status,alcohol consumption status,and physical activity,to assess the associations of the NI-IR indices with incident MetS.The area under the receiver operating characteristic curve(AUROC)was used to compare the capacities of these NI-IR indices for predicting new-onset MetS.RESULTS During a median follow-up of 5.8 years,there were 673 patients with new-onset MetS(23%).All six of the NI-IR indices were significantly and positively associated with incident MetS.In the entire cohort,the greatest AUROC was found for the METS-IR[0.782;95%confidence interval(CI):0.762-0.801;all P values compared to the other NIIR indices<0.05],followed by the TG/HDL-C ratio(0.752;95%CI:0.731-0.772),ZJU index(0.743;95%CI:0.722-0.764),TyG index(0.734;95%CI:0.713-0.756),TC/HDL-C ratio(0.731;95%CI:0.709-0.752),and then the ALT/AST ratio(0.734;95%CI:0.713-0.756).CONCLUSION This study suggests that almost all the NI-IR indices are associated with the development of MetS in military young adults.The METS-IR is the strongest predictor of new-onset MetS before midlife.
基金supported by the National Natural Science Foundation of China(No.82302607)the Guangdong Basic and Applied Basic Research Foundation(Nos.2022A1515110555 and 2023A1515010932)+3 种基金the State Key Laboratory of Respiratory Disease(No.SKLRD-Z-202410)the Precision Medicine Joint Foundation of Basic and Applied Basic Research Foundation of Guangdong Province(No.2021B1515230008)the Independent Project of Guangdong-Hong Kong-Macao Joint Laboratory for Respiratory Infectious Diseases(No.GHMJLRID-Z-202102)the Guangdong Zhong Nanshan Medical Foundation(No.ZNSXS-20220015).
文摘The accurate and timely detection of biochemical coagulation indicators is pivotal in pulmonary and critical care medicine.Despite their reliability,traditional laboratories often lag in terms of rapid diagnosis.Point-of-care testing(POCT)has emerged as a promising alternative,which is awaiting rigorous validation.We assessed 226 samples from patients at the First Affiliated Hospital of Guangzhou Medical University using a Beckman Coulter AU5821 and a PUSHKANG POCT Biochemistry Analyzer MS100.Furthermore,350 samples were evaluated with a Stago coagulation analyzer STAR MAX and a PUSHKANG POCT Coagulation Analyzer MC100.Metrics included thirteen biochemical indexes,such as albumin,and five coagulation indices,such as prothrombin time.Comparisons were drawn against the PUSHKANG POCT analyzer.Bland-Altman plots(MS100:0.8206-0.9995;MC100:0.8318-0.9911)evinced significant consistency between methodologies.Spearman correlation pinpointed a potent linear association between conventional devices and the PUSHKANG POCT analyzer,further underscored by a robust correlation coefficient(MS100:0.713-0.949;MC100:0.593-0.950).The PUSHKANG POCT was validated as a dependable tool for serum and whole blood biochemical and coagulation diagnostics.This emphasizes its prospective clinical efficacy,offering clinicians a swift diagnostic tool and heralding a new era of enhanced patient care outcomes.
文摘BACKGROUND Recent studies have indicated that triglyceride glucose(TyG)-waist height ratio(WHtR)and TyG-waist circumference(TyG-WC)are effective indicators for evaluating insulin resistance.However,research on the association in TyG-WHtR,TyG-WC,and the risk and prognosis of major adverse cardiovascular events(MACEs)in type 2 diabetes mellitus(T2DM)cases are limited.AIM To clarify the relation in TyG-WHtR,TyG-WC,and the risk of MACEs and overall mortality in T2DM patients.METHODS Information for this investigation was obtained from Action to Control Cardiovascular Risk in Diabetes(ACCORD)/ACCORD Follow-On(ACCORDION)study database.The Cox regression model was applied to assess the relation among TyG-WHtR,TyG-WC and future MACEs risk and overall mortality in T2DM cases.The RCS analysis was utilized to explore the nonlinear correlation.Subgroup and interaction analyses were conducted to prove the robustness.The receiver operating characteristic curves were applied to analysis the additional predicting value of TyG-WHtR and TyG-WC.RESULTS After full adjustment for confounding variables,the highest baseline TyG-WHtR cohort respectively exhibited a 1.353-fold and 1.420-fold higher risk for MACEs and overall mortality,than the lowest quartile group.Similarly,the highest baseline TyG-WC cohort showed a 1.314-fold and 1.480-fold higher risk for MACEs and overall mortality,respectively.Each 1 SD increase in TyG-WHtR was significantly related to an 11.7%increase in MACEs and a 14.9%enhance in overall mortality.Each 1 SD increase in TyG-WC corresponded to an 11.5%in MACEs and a 16.6%increase in overall mortality.Including these two indexes in conventional models significantly improved the predictive power for MACEs and overall mortality.CONCLUSION TyG-WHtR and TyG-WC were promising predictors of MACEs and overall mortality risk in T2DM cases.
基金supported by the Second Tibetan Plateau Scientific Expedition and Research Program(STEP)(Grant No.2021QZKK0202)Shaanxi Provincial Youth Science and Technology Rising Star Project(No.2022KJXX-85)+3 种基金Key Scientific Research Project of Shaanxi Provincial Department of Education(No.22JS041)Youth Innovation Team Research Project of Shaanxi Provincial Department of Education(Nos.22JP099,21JP137)The Youth Innovation Team of Shaanxi Universitiesthe Support Program for Outstanding Young Talents of Shaanxi Universities(Dr.Tao Luo)。
文摘Freezing–thawing indices serve as a comprehensive indicator of both the duration of the freezing/thawing periods and the degree of cold and heat in a given region.In-depth analysis of the freezing-thawing indices not only enables the prediction of permafrost distribution and its dynamic changes,but also facilitates the assessment of damage risk to infrastructure under freeze-thaw action.In this paper,the air/ground freezing–thawing indices from 1987 to 2017,based on daily temperature observations from meteorological stations along the China–Nepal Highway(CNH),were calculated,and their spatial and temporal variation patterns were analyzed.The results showed that:(1)Both mean annual air temperature and mean annual ground surface temperature along the CNH fluctuated upward,with climate tendency rates of 0.43 and 0.52.C·(10a)~(-1),respectively;(2)The number of days with negative air temperature and ground temperature showed fluctuated downward,with change rates of-8.6 and-8.3 d·(10a)~(-1),respectively;(3)The ranges of air freezing index,air thawing index,ground freezing index,and ground thawing index over the years were 157.05-458.88°C·d,2034.20-2560.73°C·d,108.78-396.83°C·d,and 3515.25-4288.67°C·d,respectively.The climate tendency rates were-5.42,10.22,-6.79,and 12.14.C·d·a-1,respectively,showing a general warming trend;(4)The air freezing index,ground freezing index,and ground thawing index changed abruptly in 1999,2000,and 2002,respectively,evincing significant changes after 2002.The research results can provide a basis for the risk assessment of freezing–thawing erosion and the prevention and control of permafrost engineering diseases along the CNH.
文摘Morpho-physiological evaluation of a crop’s genetic resources is necessary to find possible genotypes to include in breeding initiatives.The objective of this study was to identify heat-tolerant wheat genotypes among 36 mutant lines using morpho-physiological indices.Seedlings of mutant lines and check varieties were grown under both normal(control)and heat-stress conditions in growth chambers.Data were recorded on root-shoot parameters(length,fresh weight,dry weight,and ratio),relative water content(RWC),stability of cell membrane,pigment content,and chlorophyll fluorescence.Two-way analysis of variance showed significant(p<0.01,p<0.001)variation among 15 morpho-physiological features in both growing conditions.Correlation studies showed that pigment-specific indices(total chl,chl a,chl b,carotenoid,Fv/Fm—chlorophyll fluorescence)had significant positive correlations with rootshoot fresh weight(RFW,SFW)and root-shoot dry weight(RDW,SDW),and negative association with relative water content,stability of cell membrane at both conditions.Hierarchical cluster analysis revealed three primary clusters where cluster III(18 genotypes)showed minimal changes in studied characters than cluster I(11 genotypes)and cluster II(13 genotypes).Results obtained from this study revealed that the identified heat-sensitive(30-2 SSH)and heat-tolerant genotypes(27-2(4),29-2(2),and 30-2 SSH)of wheat might provide useful breeding materials for enhancing wheat yield even more in this period of uncertain climate change.
文摘BACKGROUND Diabetes is a chronic metabolic syndrome that has become a global public health problem with significant morbidity and mortality.It is a pro-inflammatory and pro-thrombotic condition characterized by increased platelet activation and alterations in platelet indices.However,the use of platelet indices as predictors of poor glucoregulation has not been fully evaluated in this context,and evidence for their role as predictors of poor glycemic status in diabetic patients is limited.AIM To evaluate platelet indices and determine their prognostic significance in relation to inadequate glucoregulation among individuals diagnosed with type 2 diabetes at Bishoftu General Hospital in Ethiopia,from June 15 to August 12,2022.METHODS A comparative cross-sectional study was conducted in 261 participants including 174 individuals with type 2 diabetes mellitus(T2DM)and 87 non-diabetic controls.The systematic random sampling technique was used to select participants.Data were collected using structured questionnaires,physical measurements,checklists,and laboratory tests.Platelet parameters and fasting blood glucose levels were determined from blood samples using Sysmex-XN550 and CobasC311 analyzers,respectively.The hematology analyzer output was checked and participants were also screened for malaria parasites using a prepared blood smear.Collected data were entered into Epi-data version 3.1 and exported to SPSS version 25 for analysis.Theχ^(2) test,Mann-Whitney U test,Kruskal-Wallis test,post hoc test,Spearman correlation,and receiver operating characteristic curve were used for analysis.A P value<0.05 was considered statistically significant.RESULTS The results of our study indicate that diabetic patients have significantly higher levels of platelet distribution width(PDW),mean platelet volume(MPV),platelet large cell ratio(PLCR),and plateletcrit(PCT)compared to healthy individuals(P<0.001).Furthermore,these indices were found to be significantly elevated in individuals with poor glycemic control in T2DM compared to those with good glycemic control and healthy controls.We also observed significant correlations between these indices and various anthropometric and clinical variables.Our findings suggest that PDW,with a cut-off value of 15.75 fL and an area under the curve(AUC)of 0.803,MPV,with a cut-off value of 12.25 fL and an AUC of 0.774,PLCR,with a cut-off value of 36.3%and an AUC of 0.775,and PCT,with a cut-off value of 0.24%and an AUC of 0.761,can serve as predictors of poor glycemic control in patients with diabetes mellitus.CONCLUSION The observed correlation between diabetic patients and a significant increase in platelet indices has highlighted their potential as predictors of poor glycemic control in diabetes.Therefore,regular screening and profiling of platelet indices is recommended as part of the follow-up process for individuals with diabetes mellitus.
基金supported by the National Natural Science Foundation of China(32371990,31971784)the Earmarked Fund for Jiangsu Agricultural Industry Technology System(JATS(2022)168,JATS(2022)468)+1 种基金the Jiangsu Provincial Cooperative Promotion Plan of Major Agricultural Technologies(2021-ZYXT-01-1)the Postgraduate Research&Practice Innovation Program of Jiangsu Province(KYCX23_0783)。
文摘The contribution of spike photosynthesis to grain yield(GY)has been overlooked in the accurate spectral prediction of yield.Thus,it’s essential to construct and estimate a yield-related phenotypic trait considering spike photosynthesis.Based on field and spectral reflectance data from 19 wheat cultivars under two nitrogen fertilization conditions in two years,our objectives were to(i)construct a yield-related phenotypic trait(spike–leaf composite indicator,SLI)accounting for the contribution of the spike to photosynthesis,(ii)develop a novel spectral index(enhanced triangle vegetation index,ETVI3)sensitive to SLI,and(iii)establish and evaluate SLI estimation models by integrating spectral indices and machine learning algorithms.The results showed that SLI was sensitive to nitrogen fertilizer and wheat cultivar variation as well as a better predictor of yield than the leaf area index.ETVI3 maintained a strong correlation with SLI throughout the growth stage,whereas the correlations of other spectral indices with SLI were poor after spike emergence.Integrating spectral indices and machine learning algorithms improved the estimation accuracy of SLI,with the most accurate estimates of SLI showing coefficient of determination,root mean square error(RMSE),and relative RMSE values of 0.71,0.047,and 26.93%,respectively.These results provide new insights into the role of fruiting organs for the accurate spectral prediction of GY.This high-throughput SLI estimation approach can be applied for wheat yield prediction at whole growth stages and may be assisted with agronomical practices and variety selection.
基金supported by the National Natural Science Foundation of China (41575091)China Meteorological Administration Training Centre scientific research project (Study on impacting factors of regional climate in China)+1 种基金Shanxi Provincial Meteorological Bureau project (SXKMSQH20236329)Heze University Research Fund Program (Poverty Alleviation Project) (XY18FP08)
文摘This article utilizes daily precipitation data from 28 national meteorological stations in northern Shanxi Province spanning from 1972 to 2020,and the US NCEP/NCAR monthly average reanalysis and ERA5 monthly average reanalysis data.The study employs techniques such as empirical orthogonal function(EOF)decomposition,MannKendall mutation and other methods to investigate the spatiotemporal distribution of extreme precipitation index in northern Shanxi and their correlation with atmospheric circulation.The research results show that:the absolute index,relative index,intensity index and sustained dry period index(CDD)in the continuous index appear from southwest to northeast.The spatial distribution characteristics of the central region decrease,while the continuous wet period(CWD)decreases from the central to the east and west.The three indices Rx1day,Rx5day,and CWD mutated in 1978,1975,and 1983 respectively,and other extreme precipitation indices all appeared in a sudden change from a low-value period to a high-value period occurred around 2010.In the high-value years of the summer extreme precipitation index,there is a significant negative anomaly in the height field in the mid-high latitude regions of Eurasia.Northern Shanxi is controlled by a broad low-pressure trough in the Lake Baikal area.Water vapor transported via the east,west,and south routes converges in the northern Shanxi region and encounters cold air from the north.There is a strong upward motion anomaly at 500 hPa in the troposphere,and the dynamic conditions of upper-level divergence and lower-level convergence lead to more summer extreme precipitation in the northern Shanxi region.Conversely,in the low-value years of the summer extreme precipitation index,northern Shanxi is affected by a strong high-pressure ridge north of Lake Baikal.There is a downward motion anomaly at 500 hPa,and the northern Shanxi region lacks water vapor.The cold and warm air cannot converge,and both the water vapor conditions and dynamic conditions are poor,which is not conducive to the production of extreme precipitation in northern Shanxi.
文摘The study of extreme weather and space events has gained paramount importance in modern society owing to rapid advances in high technology.Understanding and describing exceptional occurrences plays a crucial role in making decisive assessments of their potential impact on technical,economic,and social aspects in various fields.This research focuses on analyzing the hourly values of the auroral electrojet(AE)geomagnetic index from 1957 to 2019 by using the peak over threshold method in extreme value theory.By fitting the generalized Pareto distribution to extreme AE values,shape parameter indices were derived,revealing negative values that establish an upper bound for this time series.Consequently,it became evident that the AE values had reached a plateau,suggesting that extreme events exceeding the established upper limit are rare.As a result,although the need for diligent precautions to mitigate the consequences of such extreme events persists,surpassing the upper limit of AE values becomes increasingly challenging.It is also possible to observe an aurora in the middle-and low-latitude regions during the maximum period of the AE index.
基金Supported by Harbin Applied Technology Research and Development Project(2016RAXXJ015)。
文摘This study aimed to investigate the effects of fermented puffed feather meal(FPFM)on growth performance,serum biochemical indices,meat quality,and intestinal microbiota in Arbor Acres(AA)broilers.A single-factor design was adopted,and four treatments were administered with five replicates to 240 one-day-old AA broilers.The control group(group A)received a basal diet,while the experimental groups received a basal diet plus 33%(group B),67%(group C)and 100%(group D)FPFM,respectively.Compared with group A,(1)the average daily gain(ADG)in group C decreased(P<0.05),and the feed conversion ratio(FCR)in group D increased(P<0.05);(2)the level of serum urea nitrogen in treatment groups decreased(P<0.05),and the levels of triglyceride,high density lipoprotein,low density lipoprotein,cholesterol,and glucose contents in group D increased(P<0.05)at day 21;(3)the serum immunoglobulin M and immunoglobulin G in group B and the immunoglobulin A in group C increased(P<0.05)at day 21,and the serum immunoglobulin M and immunoglobulin G in group D decreased(P<0.05)at day 42;(4)the share force of breast muscle and thigh muscle in group D increased(P<0.05);(5)the villus height to crypt depth ratio in the jejunum of group B increased(P<0.05)at day 21,and the villus height in group C and D increased(P<0.05)at day 42;(6)the proteobacteria counts in the cecum digesta in treatment groups decreased(P<0.05)at day 21.The basal diet supplemented with 33%FPFM promoted protein metabolism,enhanced immunity and improved meat quality,promoted the digestion and absorption of nutrients,increased intestinal microbial diversity,and improved the content of beneficial bacteria without affecting the growth performance,it was possible to be used as a good substitute for fish meal.
