The Gabes aquifer system,located in southeastern Tunisia,is a crucial resource for supporting local socio-economic activities.Due to its dual porosity structure,is particularly vulnerable to pollution.This study aims ...The Gabes aquifer system,located in southeastern Tunisia,is a crucial resource for supporting local socio-economic activities.Due to its dual porosity structure,is particularly vulnerable to pollution.This study aims to develop a hybrid model that combines the Fracture Aquifer Index(FAI)with the conventional GOD(Groundwater occurrence,Overall lithology,Depth to water table)method,to assess groundwater vulnerability in fractured aquifer.To develop the hybrid model,the classical GOD method was integrated with FAI to produce a single composite index.Each parameter within both GOD and FAI was scored,and a final index was calculated to delineate vulnerable areas.The results show that the study area can be classified into four vulnerability levels:Very low,low,moderate,and high,indicating that approximately 8%of the area exhibits very low vulnerability,29%has low vulnerability,25%falls into the moderate category,and 38%is considered highly vulnerable.The FAI-GOD model further incorporates fracture network characteristics.This refinement reduces the classification to three vulnerability classes:Low,medium,and high.The outcomes demonstrate that 46%of the area is highly vulnerable due to a dense concentration of fractures,while 17%represents an intermediate zone characterized by either shallow or deeper fractures.In contrast,37%corresponds to areas with lightly fractured rock,where the impact on vulnerability is minimal.Multivariate statistical analysis was employed using Principal Components Analysis(PCA)and Hierarchical Cluster Analysis(HCA)on 24 samples across six variables.The first three components account for over 76%of the total variance,reinforcing the significance of fracture dynamics in classifying vulnerability levels.The FAI-GOD model removes the very-low-vulnerability class and expands the spatial extent of low-and high-vulnerability zones,reflecting the dominant influence of fracture networks on aquifer sensitivity.While both indices use a five-class system,FAI-GOD redistributes vulnerability by eliminating very-low-vulnerability areas and amplifying low/high categories,highlighting the critical role of fractures.A strong correlation(R2=0.94)between the GOD and FAI-GOD indices,demonstrated through second-order polynomial regression,confirms the robustness of the FAI-GOD model in accurately predicting vulnerability to pollution.This model provides a useful framework for assessing the vulnerability of complex aquifers and serves as a decision-making tool for groundwater managers in similar areas.展开更多
The atom-bond sum-connectivity(ABS)index,put forward by[J.Math.Chem.,2022,60(10):20812093],exhibits a strong link with the acentric factor of octane isomers.The experimental physico-chemical properties of octane isome...The atom-bond sum-connectivity(ABS)index,put forward by[J.Math.Chem.,2022,60(10):20812093],exhibits a strong link with the acentric factor of octane isomers.The experimental physico-chemical properties of octane isomers,such as boiling point,of formation are found to be better measured by the ABS index than by the Randi,atom-bond connectivity(ABC),and sum-connectivity(SC)indices.One important source of information for researching the molecular structure is the bounds for its topological indices.The extrema of the ABS index of the line,total,and Mycielski graphs are calculated in this work.Moreover,the pertinent extremal graphs were illustrated.展开更多
This commentary critically appraises the study by Li et al which pioneered the exploration of the triglyceride-glucose(TyG)index as a prognostic marker in hepatitis B virus-related advanced hepatocellular carcinoma pa...This commentary critically appraises the study by Li et al which pioneered the exploration of the triglyceride-glucose(TyG)index as a prognostic marker in hepatitis B virus-related advanced hepatocellular carcinoma patients undergoing combined camrelizumab and lenvatinib therapy.While we acknowledge the study’s clinical relevance in proposing an easily accessible metabolic biomarker,we delve into the mechanistic plausibility linking insulin resistance to immunotherapy response and angiogenic inhibition.We further critically examine the methodological limitations,including the retrospective design,the populationspecific TyG cut-off value,and unaddressed metabolic confounders.We highlight the imperative for future research to validate its utility across diverse etiologies and treatment settings,and to unravel the underlying immunometabolic pathways.展开更多
BACKGROUND Timely and accurate evaluation of mental disorders in adolescents using appropriate mental health literacy assessment tools is essential for improving their mental health literacy levels.AIM To develop an e...BACKGROUND Timely and accurate evaluation of mental disorders in adolescents using appropriate mental health literacy assessment tools is essential for improving their mental health literacy levels.AIM To develop an evaluation index system for the mental health literacy of adolescent patients with mental disorders,providing a scientific,comprehensive,and reliable tool for the monitoring and intervention of mental health literacy of such patients.METHODS From December 2022 to June 2023,the evaluation index system for mental health literacy of adolescents with mental disorders was developed through literature reviews,semi-structured interviews,expert letter consultations,and the analytic hierarchy process.Based on this index system,a self-assessment questionnaire was compiled and administered to 305 adolescents with mental disorders to test the reliability and validity of the index system.RESULTS The final evaluation index system for mental health literacy of adolescents with mental disorders included 4 first-level indicators,10 second-level indicators,and 52 third-level indicators.The overall Cronbach’sαcoefficient of the index system was 0.957,with a partial reliability of 0.826 and a content validity index of 0.975.The cumulative variance contribution rate of 10 common factors was 66.491%.The correlation coefficients between each dimension and the total questionnaire ranged from 0.672 to 0.724,while the correlation coefficients in each dimension ranged from 0.389 to 0.705.CONCLUSION The evaluation index system for mental health literacy of adolescents with mental disorders,developed in this study,demonstrated notable reliability and validity,making it a valuable tool for evaluating mental health literacy in this population.展开更多
Let G be a finite group and H a subgroup of G.The normal index of H in G is defined as the order of K/H_(G),where K is a normal supplement of H in G such that|K|is minimal and H_(G)≤K■G.Let p be a prime which divide...Let G be a finite group and H a subgroup of G.The normal index of H in G is defined as the order of K/H_(G),where K is a normal supplement of H in G such that|K|is minimal and H_(G)≤K■G.Let p be a prime which divides the order of a group G.In this paper,some characterizations of G being p-solvable or p-supersolvable were obtained by analyzing the normal index of certain subgroups of G.These results can be viewed as local version of recent results in the literature.展开更多
BACKGROUND:Rapid identification of patients at risk of clinical deterioration(in-hospital mortality) in emergency settings is essential for timely and appropriate care.Existing prognostic scores,such as the Acute Phys...BACKGROUND:Rapid identification of patients at risk of clinical deterioration(in-hospital mortality) in emergency settings is essential for timely and appropriate care.Existing prognostic scores,such as the Acute Physiology and Chronic Health Evaluation IV(APACHE IV),Simplified Acute Physiology Score 3(SAPS 3),Sequential Organ Failure Assessment(SOFA),and National Early Warning Score 2(NEWS 2),have limitations in emergency scenarios,particularly in resource-limited settings.We aimed to develop a simple and efficient tool tailored to the Brazilian healthcare system.METHODS:This retrospective,multicenter,cohort study analyzed data from 50,709 adult patients admitted to 12 hospitals in southern and southeastern Brazil between 2019 and 2020.The BRASIL score(Brazilian Risk Assessment Severity Index and Length of stay) was constructed using demographic and clinical variables available at admission.Logistic regression was used to determine the weight of each variable,and each variable was assigned a point value based on its β-coefficient and clinical relevance,with thresholds defined according to established medical cutoffs and statistical performance.The score's predictive accuracy was validated using the area under the receiver operating characteristic curve(AUC) with comparative analysis against NEWS 2.RESULTS:The BRASIL score,including age,sex,respiratory rate,heart rate,oxygen saturation,blood pressure,and body temperature,was derived through variables independently associated with in-hospital mortality in a multicenter cohort.The total score was stratified into three risk categories — low(0–3 points),moderate(4–7 points),and high(>7 points) — using observed inflection points in mortality distribution to optimize discrimination.This stratification demonstrated a stepwise increase in mortality rates across categories and the discriminatory performance,with an overall AUC of 0.743(95% CI:0.726–0.761).Compared to NEWS 2(AUC 0.697,95% CI:0.683–0.711),the BRASIL score offered superior early risk identification,supporting timely clinical decisionmaking and resource allocation in the emergency setting.CONCLUSION:The BRASIL score is a novel tool for predicting in-hospital mortality in emergency departments.Its predictive performance and ease of use suggest that it has the potential to improve patient outcomes.展开更多
This study presents a hybrid methodology for predicting building collapses within the Intelligent Circular Resilience(ICR)framework.This uses a supervised Machine Learning(ML)approach,earthquake damage re-ports,and th...This study presents a hybrid methodology for predicting building collapses within the Intelligent Circular Resilience(ICR)framework.This uses a supervised Machine Learning(ML)approach,earthquake damage re-ports,and the Simplified Resilience Index(SRI),derived from existing earthquake damage models(EDM)-based on fragility and vulnerability functions-used in the probabilistic seismic risk assessment(PSRA).A curated building damage database comprising 89 structures(71 collapsed and 18 non-collapsed)from ten countries affected by major earthquakes(Mw 6.1-8.1,epicentral distances of 3-125 km,and PGA values ranging from 0.14 g to 0.82 g)was developed,including attributes related to exposure:occupancy,main structural material,number of stories,construction year,and hazard:magnitude,epicentral distance,intensity measures(Peak-ground acceleration,PGA,and elastic spectral acceleration).The dataset includes events such as the 2017 Puebla-Morelos earthquake(Mw 7.1,Mexico),the 1999 Kocaeli earthquake(Mw 7.6,Turkey),and the 2011 Christchurch earthquake(Mw 6.1,New Zealand),among others.Likewise,dependent attributes such as time elapsed and SRI(under 120-,180-,and 365-day recovery scenarios)were calculated using 2-EDMs.Eight Random Forest models were trained and tested for collapse and non-collapse classification using combinations of independent and dependent attributes.The results indicate that models incorporating exposure-related varia-bles-such as structural material,number of stories,construction year,and occupancy-alongside the SRI significantly improve collapse classification performance,achieving recall and F1 scores above 95%.Notably,many collapsed buildings exhibited low intensities(PGA≤0.25 g),emphasizing the influence of local site effects-particularly in Mexico City.The findings demonstrate that incorporating SRI enhances the reliability of collapse prediction and supports its use as an interpretable resilience proxy during early ICR stages.This hybrid methodology bridges empirical data,traditional PSRA models,and ML techniques,contributing to more accurate and scalable post-earthquake resilience assessments.展开更多
AIM:To explore the repeatability,reproducibility,and agreement in the measurement of the choroidal vascularity index(CVI)for different swept-source optical coherence tomography(OCT)devices and between OCT and OCT angi...AIM:To explore the repeatability,reproducibility,and agreement in the measurement of the choroidal vascularity index(CVI)for different swept-source optical coherence tomography(OCT)devices and between OCT and OCT angiography(OCTA)images.METHODS:Two swept-source OCT imaging systems,VG200I and Topcon DRI OCT Triton,were used to capture OCT and OCTA images in triplicate.The first and third images were taken by one operator,and the second image was taken by another operator.The built-in software was used to calculate the CVI from the OCTA images(CVI-OCTA),and a custom-designed algorithm was used to calculate the CVI from the OCT images(CVI-OCT).Repeatability and reproducibility were assessed with the intraclass correlation coefficient(ICC),and agreement between devices and between OCT and OCTA were evaluated with Bland-Altman analysis.RESULTS:Sixty-eight eyes from 35 adults(17 females)were included in the analysis.The average age of the participants was 23.6±2.3y,with an average spherical equivalent refraction of-3.08±2.47 D and an average AL of 25.21±1.20 mm.Both OCT devices demonstrated high repeatability and reproducibility in measuring the CVI-OCTA(all ICCs>0.894 across five choroidal regions)and CVI-OCT(all ICCs>0.838).Furthermore,the between-device agreement in measuring the CVI-OCT was good[mean difference(MD)ranging from-2.32%to-3.07%],but that in measuring the CVI-OCTA was poor(MD,1.48%to-7.43%).Additionally,the between-imaging agreement(CVI-OCTA versus CVI-OCT)was poor for both devices(Triton,MD,6.05%to 12.68%;VG200I,MD,6.67%to 12.09%).CONCLUSION:Both OCT devices and the two analytical methods demonstrate good stability.The inter-device consistency of CVI-OCT is good,while the inter-device consistency of CVI-OCTA and the consistency between the two analytical methods in the same device are both poor.展开更多
Gradient refractive index(GRIN)metalenses are increasingly valued in high-frequency communication due to their exceptional radiation performance.Ceramics with high dielectric constants and low dielectric losses are id...Gradient refractive index(GRIN)metalenses are increasingly valued in high-frequency communication due to their exceptional radiation performance.Ceramics with high dielectric constants and low dielectric losses are ideal candidates for GRIN metalenses.Digital light processing(DLP)3D printing provides a feasible and efficient approach for manufacturing ceramic GRIN metalenses.However,the scattering of ultraviolet(UV)light by ceramic particles in the slurry reduces the printing accuracy of DLP technology,making it difficult to achieve the intricate structural features required for GRIN metalenses in high-frequency communication.In this work,we propose an approach to improve printing accuracy by optimizing the ceramic slurry composition and implementing a dimensional compensation design strategy.Utilizing geometric optics and the S-parameter inversion method,we design a GRIN metalens consisting of two distinct types of subwavelength unit cells(Y-shaped and circular hole geometries)with a minimum feature size of 160μm.Through a refined slurry formulation and precise design parameter compensation,high-fidelity ceramic GRIN metalenses are successfully fabricated.The fabricated metalens exhibits a maximum gain enhancement of 18.4 dBi and a deflection angle of±30°over a bandwidth of 37.84% in the W-band(75-110 GHz).The highly directional far-field beam radiation and efficient beam steering capabilities highlight the potential of ceramic GRIN metalenses for applications in satellite communications,radar systems,and other high-frequency technologies.展开更多
Surface polaritons,as surface electromagnetic waves propagating along the surface of a medium,have played a crucial role in enhancing photonic spin Hall effect(PSHE)and developing highly sensitive refractive index(RI)...Surface polaritons,as surface electromagnetic waves propagating along the surface of a medium,have played a crucial role in enhancing photonic spin Hall effect(PSHE)and developing highly sensitive refractive index(RI)sensors.Among them,the traditional surface plasmon polariton(SPP)based on noble metals limits its application beyond the near-infrared(IR)regime due to the large negative permittivity and optical losses.In this contribution,we theoretically proposed a highly sensitive PSHE sensor with the structure of Ge prism-SiC-Si:InAs-sensing medium,by taking advantage of the hybrid surface plasmon phonon polariton(SPPhP)in mid-IR regime.Here,heavily Si-doped InAs(Si:InAs)and SiC excite the SPP and surface phonon polariton(SPhP),and the hybrid SPPhP is realized in this system.More importantly,the designed PSHE sensor based on this SPPhP mechanism achieves the multi-stage RI measurements from 1.00025-1.00225 to 1.70025-1.70225,and the maximal intensity sensitivity and angle sensitivity can be up to 9.4×10^(4)μm/RIU and245°/RIU,respectively.These findings provide a new pathway for the enhancement of PSHE in mid-IR regime,and offer new opportunities to develop highly sensitive RI sensors in multi-scenario applications,such as harmful gas monitoring and biosensing.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
This editorial comments on the study by Tao et al,emphasizing the scalable diagnostic tool for metabolic dysfunction-associated steatotic liver disease(MASLD)in type 2 diabetes mellitus(T2DM).Classical indices such as...This editorial comments on the study by Tao et al,emphasizing the scalable diagnostic tool for metabolic dysfunction-associated steatotic liver disease(MASLD)in type 2 diabetes mellitus(T2DM).Classical indices such as the fatty liver index(FLI),hepatic steatosis index(HSI),and non-alcoholic fatty liver disease-liver fat score have provided valuable insights.Still,their predictive accuracy often varies across populations and clinical settings.In Western cohorts,FLI and HSI are widely applied,yet they depend heavily on anthropometric or categorical variables,which limits their sensitivity in Asian populations.The Zhejiang University index(ZJU index),developed in China,integrates fasting glucose,triglycerides,hepatic enzyme ratios,and body mass index into a composite score of insulin resistance.Recent studies show that the ZJU index outperforms FLI and HSI in predicting MASLD among Chinese patients,particularly those with T2DM,where it demonstrates a nonlinear association with disease risk and identifies a critical threshold of 38.87.The ZJU index links to conditions like sarcopenia,sleep apnea,and gallstones,showing its versatility in metabolic health.This editorial compares its performance with other indices and emphasizes the ZJU index as a nextgeneration tool for MASLD risk stratification globally.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 atherogenic index of plasma(AIP)has been shown to be positively correlated with cardiovascular disease in previous studies.However,it is unclear whether elderly people with long-term high AIP levels are...BACKGROUND The atherogenic index of plasma(AIP)has been shown to be positively correlated with cardiovascular disease in previous studies.However,it is unclear whether elderly people with long-term high AIP levels are more likely to develop coronary heart disease(CHD).Therefore,the aim of this study was to investigate the relationship between AIP trajectory and CHD incidence in elderly people.METHODS 19,194 participants aged≥60 years who had three AIP measurements between 2018 and 2020 were included in this study.AIP was defined as log10(triglyceride/high-density lipoprotein cholesterol).The group-based trajectory model was used to identify different trajectory patterns of AIP from 2018 to 2020.Cox proportional hazards models were used to estimate the hazard ratio(HR)with 95%CI of CHD events between different trajectory groups from 2020 to 2023.RESULTS Three different trajectory patterns were identified through group-based trajectory model:the low-level group(n=7410,mean AIP:-0.25 to-0.17),the medium-level group(n=9981,mean AIP:0.02-0.08),and the high-level group(n=1803,mean AIP:0.38-0.42).During a mean follow-up of 2.65 years,a total of 1391 participants developed CHD.After adjusting for potential confounders,compared with the participants in the low-level group,the HR with 95%CI of the medium-level group and the high-level group were estimated to be 1.24(1.10-1.40)and 1.43(1.19-1.73),respectively.These findings remained consistent in subgroup analyses and sensitivity analyses.CONCLUSIONS There was a significant correlation between persistent high AIP level and increased CHD risk in the elderly.This suggests that monitoring the long-term changes in AIP is helpful to identify individuals at high CHD risk in elderly people.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
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
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
Authentication is the most crucial aspect of security and a predominant measure employed in cybersecurity.Cloud computing provides a shared electronic device resource for users via the internet,and the authentication ...Authentication is the most crucial aspect of security and a predominant measure employed in cybersecurity.Cloud computing provides a shared electronic device resource for users via the internet,and the authentication techniques used must protect data from attacks.Previous approaches failed to resolve the challenge of making passwords secure,memorable,usable,and time-saving.Graphical Password(GP)is still not widely utilized in reality because consumers suffer from multiple login stages.This paper proposes an Indexed Choice-Based Graphical Password(ICGP)scheme for improving the authentication part.ICGP consists of two stages:registration and authentication.At the registration stage,the user registers his/her data user name a number called Index Number(IN),and chooses an image from a grid of images.After completing the registration,ICGP gives the user a random unique number(UNo)to be a user ID.At the authentication stage,the user chooses a different image from the grid based on the random appearance of the registered image dimensions on the grid plus the registered Index Number.ICGP password is a combination of three factors;user’s name,UNo,and any image.According to the experiments,the proposed ICGP has achieved great improvements when compared to prior methods.The ICGP has increased the possible password numbers from 9.77e+6 to 3.74e+30,the password space from 1.20e+34 to 1.37e+84,and decreased the password entropy from 7.16e−7 to 8.26e−30.展开更多
Objectives:To explore the predictive value of the atherogenic index of plasma(AIP),triglyceride-glucose(TyG)index,and cerebral small vascular disease(CSVD)imaging load score regarding the early prognosis of patients w...Objectives:To explore the predictive value of the atherogenic index of plasma(AIP),triglyceride-glucose(TyG)index,and cerebral small vascular disease(CSVD)imaging load score regarding the early prognosis of patients with acute ischemic stroke(AIS)after intravenous thrombolysis.Methods:A total of 379 inpatients(diagnosed with AIS at the Shengli Oilfield Central Hospital and treated with intravenous thrombolysis from January 2022 to December 2023)were retrospectively analyzed.Relevant data were collected,and the CSVD imaging load score was evaluated.The patients were classified into the good prognosis group(≥18%)and the poor prognosis group(<18%)based on the early neurological improvement rate 14 d after thrombolysis.An investigation into the independent risk factors influencing the early prognostic outcomes in patients suffering from AIS was conducted utilizing binary Logistic regression analysis.The efficacy of early prognosis prediction in patients undergoing intravenous thrombolysis was assessed through receiver operating characteristic(ROC)curve analysis.Results:Systolic blood pressure,AIP,TyG index,neutrophil to lymphocyte ratio(NLR),cerebral microbleeds(CMB),enlarged perivascular spaces(EPVS)and a CSVD imaging load score of 2 points or higher served as independentrisk factors influencing the early prognosis in AIS patients undergoing thrombolysis.The ROC curve analysis revealed that the area under the curve(AUC)for the CSVD imaging load score was 0.821,with a sensitivity of 80.4%and a specificity of 74%.The AUC of the AIP was 0.951,with a sensitivity of 89.2%and a specificity of 91.7%.The AUC of the TyG index was 0.918,with a sensitivity of 93.1%and a specificity of 82.7%.Conclusions:The AIP,TyG index,and CSVD imaging load score serve as efficacious indicators in assessing the premature prognostication of AIS patients who underwent subsequently to intravenous thrombolytic therapy.展开更多
Body mass index(BMI),with its simple formula of weight divided by height squared,has become a cornerstone tool in global public health for assessing obesity and health risks.However,as populations aging and the demand...Body mass index(BMI),with its simple formula of weight divided by height squared,has become a cornerstone tool in global public health for assessing obesity and health risks.However,as populations aging and the demand for precise health evaluation grows,the limitations of this single metric have become increasingly apparent—it fails to distinguish between muscle and adipose tissue and cannot capture the complex relationship between inflammatory status and body composition.A recent study published in Biomedical and Environmental Sciences(BES)by Zhang et al.[1],which explores the association of white blood cell(WBC)count,platelet(PLT)count,and platelet-to-white blood cell ratio(PWR)with muscle mass among Chinese communitydwelling older adults,provides critical evidence for rethinking the role of BMI.Additionally,several studies published in BES,spanning from childhood nutrition to adult metabolism,further illuminate the complexity of health assessment[2−5].Building on these findings and integrating evidence from multiple Chinese population studies,this commentary revisits the historical context,utility,inherent limitations,and future directions of this classic indicator.展开更多
文摘The Gabes aquifer system,located in southeastern Tunisia,is a crucial resource for supporting local socio-economic activities.Due to its dual porosity structure,is particularly vulnerable to pollution.This study aims to develop a hybrid model that combines the Fracture Aquifer Index(FAI)with the conventional GOD(Groundwater occurrence,Overall lithology,Depth to water table)method,to assess groundwater vulnerability in fractured aquifer.To develop the hybrid model,the classical GOD method was integrated with FAI to produce a single composite index.Each parameter within both GOD and FAI was scored,and a final index was calculated to delineate vulnerable areas.The results show that the study area can be classified into four vulnerability levels:Very low,low,moderate,and high,indicating that approximately 8%of the area exhibits very low vulnerability,29%has low vulnerability,25%falls into the moderate category,and 38%is considered highly vulnerable.The FAI-GOD model further incorporates fracture network characteristics.This refinement reduces the classification to three vulnerability classes:Low,medium,and high.The outcomes demonstrate that 46%of the area is highly vulnerable due to a dense concentration of fractures,while 17%represents an intermediate zone characterized by either shallow or deeper fractures.In contrast,37%corresponds to areas with lightly fractured rock,where the impact on vulnerability is minimal.Multivariate statistical analysis was employed using Principal Components Analysis(PCA)and Hierarchical Cluster Analysis(HCA)on 24 samples across six variables.The first three components account for over 76%of the total variance,reinforcing the significance of fracture dynamics in classifying vulnerability levels.The FAI-GOD model removes the very-low-vulnerability class and expands the spatial extent of low-and high-vulnerability zones,reflecting the dominant influence of fracture networks on aquifer sensitivity.While both indices use a five-class system,FAI-GOD redistributes vulnerability by eliminating very-low-vulnerability areas and amplifying low/high categories,highlighting the critical role of fractures.A strong correlation(R2=0.94)between the GOD and FAI-GOD indices,demonstrated through second-order polynomial regression,confirms the robustness of the FAI-GOD model in accurately predicting vulnerability to pollution.This model provides a useful framework for assessing the vulnerability of complex aquifers and serves as a decision-making tool for groundwater managers in similar areas.
基金Supported by Ningbo NSF(No.2021J234)Zhejiang Provincial Philosophy and Social Sciences Planning Project(No.24NDJC057YB)。
文摘The atom-bond sum-connectivity(ABS)index,put forward by[J.Math.Chem.,2022,60(10):20812093],exhibits a strong link with the acentric factor of octane isomers.The experimental physico-chemical properties of octane isomers,such as boiling point,of formation are found to be better measured by the ABS index than by the Randi,atom-bond connectivity(ABC),and sum-connectivity(SC)indices.One important source of information for researching the molecular structure is the bounds for its topological indices.The extrema of the ABS index of the line,total,and Mycielski graphs are calculated in this work.Moreover,the pertinent extremal graphs were illustrated.
文摘This commentary critically appraises the study by Li et al which pioneered the exploration of the triglyceride-glucose(TyG)index as a prognostic marker in hepatitis B virus-related advanced hepatocellular carcinoma patients undergoing combined camrelizumab and lenvatinib therapy.While we acknowledge the study’s clinical relevance in proposing an easily accessible metabolic biomarker,we delve into the mechanistic plausibility linking insulin resistance to immunotherapy response and angiogenic inhibition.We further critically examine the methodological limitations,including the retrospective design,the populationspecific TyG cut-off value,and unaddressed metabolic confounders.We highlight the imperative for future research to validate its utility across diverse etiologies and treatment settings,and to unravel the underlying immunometabolic pathways.
基金Supported by Inter Disciplinary Direction Cultivation Project of Hunan University of Chinese Medicine,No.2025JC01032025 Hunan Province Science and Technology Innovation Plan Project,No.2025RC9012+2 种基金2022"Unveiling and Leading"Project of Discipline Construction at Hunan University of Chinese Medicine,No.22JBZ044Changsha Municipal Natural Science Foundation,No.kq2402174Hunan Provincial Science Popularization Fund Project,No.2025ZK4223.
文摘BACKGROUND Timely and accurate evaluation of mental disorders in adolescents using appropriate mental health literacy assessment tools is essential for improving their mental health literacy levels.AIM To develop an evaluation index system for the mental health literacy of adolescent patients with mental disorders,providing a scientific,comprehensive,and reliable tool for the monitoring and intervention of mental health literacy of such patients.METHODS From December 2022 to June 2023,the evaluation index system for mental health literacy of adolescents with mental disorders was developed through literature reviews,semi-structured interviews,expert letter consultations,and the analytic hierarchy process.Based on this index system,a self-assessment questionnaire was compiled and administered to 305 adolescents with mental disorders to test the reliability and validity of the index system.RESULTS The final evaluation index system for mental health literacy of adolescents with mental disorders included 4 first-level indicators,10 second-level indicators,and 52 third-level indicators.The overall Cronbach’sαcoefficient of the index system was 0.957,with a partial reliability of 0.826 and a content validity index of 0.975.The cumulative variance contribution rate of 10 common factors was 66.491%.The correlation coefficients between each dimension and the total questionnaire ranged from 0.672 to 0.724,while the correlation coefficients in each dimension ranged from 0.389 to 0.705.CONCLUSION The evaluation index system for mental health literacy of adolescents with mental disorders,developed in this study,demonstrated notable reliability and validity,making it a valuable tool for evaluating mental health literacy in this population.
基金Supported by the National Natural Science Foundation of China(Grant No.12071092)Guangdong Basic and Applied Basic Research Foundation(Grant No.2025A1515012072)+1 种基金the Natural Science Research Project of Anhui Educational Committee(Grant No.2024AH051298)the Scientific Research Foundation of Bozhou University(Grant No.BYKQ202419).
文摘Let G be a finite group and H a subgroup of G.The normal index of H in G is defined as the order of K/H_(G),where K is a normal supplement of H in G such that|K|is minimal and H_(G)≤K■G.Let p be a prime which divides the order of a group G.In this paper,some characterizations of G being p-solvable or p-supersolvable were obtained by analyzing the normal index of certain subgroups of G.These results can be viewed as local version of recent results in the literature.
文摘BACKGROUND:Rapid identification of patients at risk of clinical deterioration(in-hospital mortality) in emergency settings is essential for timely and appropriate care.Existing prognostic scores,such as the Acute Physiology and Chronic Health Evaluation IV(APACHE IV),Simplified Acute Physiology Score 3(SAPS 3),Sequential Organ Failure Assessment(SOFA),and National Early Warning Score 2(NEWS 2),have limitations in emergency scenarios,particularly in resource-limited settings.We aimed to develop a simple and efficient tool tailored to the Brazilian healthcare system.METHODS:This retrospective,multicenter,cohort study analyzed data from 50,709 adult patients admitted to 12 hospitals in southern and southeastern Brazil between 2019 and 2020.The BRASIL score(Brazilian Risk Assessment Severity Index and Length of stay) was constructed using demographic and clinical variables available at admission.Logistic regression was used to determine the weight of each variable,and each variable was assigned a point value based on its β-coefficient and clinical relevance,with thresholds defined according to established medical cutoffs and statistical performance.The score's predictive accuracy was validated using the area under the receiver operating characteristic curve(AUC) with comparative analysis against NEWS 2.RESULTS:The BRASIL score,including age,sex,respiratory rate,heart rate,oxygen saturation,blood pressure,and body temperature,was derived through variables independently associated with in-hospital mortality in a multicenter cohort.The total score was stratified into three risk categories — low(0–3 points),moderate(4–7 points),and high(>7 points) — using observed inflection points in mortality distribution to optimize discrimination.This stratification demonstrated a stepwise increase in mortality rates across categories and the discriminatory performance,with an overall AUC of 0.743(95% CI:0.726–0.761).Compared to NEWS 2(AUC 0.697,95% CI:0.683–0.711),the BRASIL score offered superior early risk identification,supporting timely clinical decisionmaking and resource allocation in the emergency setting.CONCLUSION:The BRASIL score is a novel tool for predicting in-hospital mortality in emergency departments.Its predictive performance and ease of use suggest that it has the potential to improve patient outcomes.
基金Vicerrectoría de Inves-tigaciones of the UMNG for the financial support of the IMP-ING-3743 Project.
文摘This study presents a hybrid methodology for predicting building collapses within the Intelligent Circular Resilience(ICR)framework.This uses a supervised Machine Learning(ML)approach,earthquake damage re-ports,and the Simplified Resilience Index(SRI),derived from existing earthquake damage models(EDM)-based on fragility and vulnerability functions-used in the probabilistic seismic risk assessment(PSRA).A curated building damage database comprising 89 structures(71 collapsed and 18 non-collapsed)from ten countries affected by major earthquakes(Mw 6.1-8.1,epicentral distances of 3-125 km,and PGA values ranging from 0.14 g to 0.82 g)was developed,including attributes related to exposure:occupancy,main structural material,number of stories,construction year,and hazard:magnitude,epicentral distance,intensity measures(Peak-ground acceleration,PGA,and elastic spectral acceleration).The dataset includes events such as the 2017 Puebla-Morelos earthquake(Mw 7.1,Mexico),the 1999 Kocaeli earthquake(Mw 7.6,Turkey),and the 2011 Christchurch earthquake(Mw 6.1,New Zealand),among others.Likewise,dependent attributes such as time elapsed and SRI(under 120-,180-,and 365-day recovery scenarios)were calculated using 2-EDMs.Eight Random Forest models were trained and tested for collapse and non-collapse classification using combinations of independent and dependent attributes.The results indicate that models incorporating exposure-related varia-bles-such as structural material,number of stories,construction year,and occupancy-alongside the SRI significantly improve collapse classification performance,achieving recall and F1 scores above 95%.Notably,many collapsed buildings exhibited low intensities(PGA≤0.25 g),emphasizing the influence of local site effects-particularly in Mexico City.The findings demonstrate that incorporating SRI enhances the reliability of collapse prediction and supports its use as an interpretable resilience proxy during early ICR stages.This hybrid methodology bridges empirical data,traditional PSRA models,and ML techniques,contributing to more accurate and scalable post-earthquake resilience assessments.
基金Supported by the National Key Research and Development Program of China(No.2022YFC3502503)the Medical and Health Science and Technology Project of the Zhejiang Provincial Health Commission of China(No.2022PY072).
文摘AIM:To explore the repeatability,reproducibility,and agreement in the measurement of the choroidal vascularity index(CVI)for different swept-source optical coherence tomography(OCT)devices and between OCT and OCT angiography(OCTA)images.METHODS:Two swept-source OCT imaging systems,VG200I and Topcon DRI OCT Triton,were used to capture OCT and OCTA images in triplicate.The first and third images were taken by one operator,and the second image was taken by another operator.The built-in software was used to calculate the CVI from the OCTA images(CVI-OCTA),and a custom-designed algorithm was used to calculate the CVI from the OCT images(CVI-OCT).Repeatability and reproducibility were assessed with the intraclass correlation coefficient(ICC),and agreement between devices and between OCT and OCTA were evaluated with Bland-Altman analysis.RESULTS:Sixty-eight eyes from 35 adults(17 females)were included in the analysis.The average age of the participants was 23.6±2.3y,with an average spherical equivalent refraction of-3.08±2.47 D and an average AL of 25.21±1.20 mm.Both OCT devices demonstrated high repeatability and reproducibility in measuring the CVI-OCTA(all ICCs>0.894 across five choroidal regions)and CVI-OCT(all ICCs>0.838).Furthermore,the between-device agreement in measuring the CVI-OCT was good[mean difference(MD)ranging from-2.32%to-3.07%],but that in measuring the CVI-OCTA was poor(MD,1.48%to-7.43%).Additionally,the between-imaging agreement(CVI-OCTA versus CVI-OCT)was poor for both devices(Triton,MD,6.05%to 12.68%;VG200I,MD,6.67%to 12.09%).CONCLUSION:Both OCT devices and the two analytical methods demonstrate good stability.The inter-device consistency of CVI-OCT is good,while the inter-device consistency of CVI-OCTA and the consistency between the two analytical methods in the same device are both poor.
基金financial support by the National Key Research and Development Program of China(No.2023YFB4605400)the National Natural Science Foundation of China(No.12472152)the Department of Science and Technology of Guangdong Province(No.2019QN01Z438)。
文摘Gradient refractive index(GRIN)metalenses are increasingly valued in high-frequency communication due to their exceptional radiation performance.Ceramics with high dielectric constants and low dielectric losses are ideal candidates for GRIN metalenses.Digital light processing(DLP)3D printing provides a feasible and efficient approach for manufacturing ceramic GRIN metalenses.However,the scattering of ultraviolet(UV)light by ceramic particles in the slurry reduces the printing accuracy of DLP technology,making it difficult to achieve the intricate structural features required for GRIN metalenses in high-frequency communication.In this work,we propose an approach to improve printing accuracy by optimizing the ceramic slurry composition and implementing a dimensional compensation design strategy.Utilizing geometric optics and the S-parameter inversion method,we design a GRIN metalens consisting of two distinct types of subwavelength unit cells(Y-shaped and circular hole geometries)with a minimum feature size of 160μm.Through a refined slurry formulation and precise design parameter compensation,high-fidelity ceramic GRIN metalenses are successfully fabricated.The fabricated metalens exhibits a maximum gain enhancement of 18.4 dBi and a deflection angle of±30°over a bandwidth of 37.84% in the W-band(75-110 GHz).The highly directional far-field beam radiation and efficient beam steering capabilities highlight the potential of ceramic GRIN metalenses for applications in satellite communications,radar systems,and other high-frequency technologies.
基金Project supported by the National Natural Science Foundation of China(Grant No.12175107)the Qing Lan Project of Jiangsu Province+2 种基金the Hua Li Talents Program of Nanjing University of PostsTelecommunications,Natural Science Foundation of Nanjing Vocational University of Industry Technology(Grant No.YK22-02-08)the Fund from the Research Center of Industrial Perception and Intelligent Manufacturing Equipment Engineering of Jiangsu Province,China(Grant No.ZK21-05-09)。
文摘Surface polaritons,as surface electromagnetic waves propagating along the surface of a medium,have played a crucial role in enhancing photonic spin Hall effect(PSHE)and developing highly sensitive refractive index(RI)sensors.Among them,the traditional surface plasmon polariton(SPP)based on noble metals limits its application beyond the near-infrared(IR)regime due to the large negative permittivity and optical losses.In this contribution,we theoretically proposed a highly sensitive PSHE sensor with the structure of Ge prism-SiC-Si:InAs-sensing medium,by taking advantage of the hybrid surface plasmon phonon polariton(SPPhP)in mid-IR regime.Here,heavily Si-doped InAs(Si:InAs)and SiC excite the SPP and surface phonon polariton(SPhP),and the hybrid SPPhP is realized in this system.More importantly,the designed PSHE sensor based on this SPPhP mechanism achieves the multi-stage RI measurements from 1.00025-1.00225 to 1.70025-1.70225,and the maximal intensity sensitivity and angle sensitivity can be up to 9.4×10^(4)μm/RIU and245°/RIU,respectively.These findings provide a new pathway for the enhancement of PSHE in mid-IR regime,and offer new opportunities to develop highly sensitive RI sensors in multi-scenario applications,such as harmful gas monitoring and biosensing.
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.
文摘This editorial comments on the study by Tao et al,emphasizing the scalable diagnostic tool for metabolic dysfunction-associated steatotic liver disease(MASLD)in type 2 diabetes mellitus(T2DM).Classical indices such as the fatty liver index(FLI),hepatic steatosis index(HSI),and non-alcoholic fatty liver disease-liver fat score have provided valuable insights.Still,their predictive accuracy often varies across populations and clinical settings.In Western cohorts,FLI and HSI are widely applied,yet they depend heavily on anthropometric or categorical variables,which limits their sensitivity in Asian populations.The Zhejiang University index(ZJU index),developed in China,integrates fasting glucose,triglycerides,hepatic enzyme ratios,and body mass index into a composite score of insulin resistance.Recent studies show that the ZJU index outperforms FLI and HSI in predicting MASLD among Chinese patients,particularly those with T2DM,where it demonstrates a nonlinear association with disease risk and identifies a critical threshold of 38.87.The ZJU index links to conditions like sarcopenia,sleep apnea,and gallstones,showing its versatility in metabolic health.This editorial compares its performance with other indices and emphasizes the ZJU index as a nextgeneration tool for MASLD risk stratification globally.
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 the National Key Research and Development Program of China(2017YFC1307705).
文摘BACKGROUND The atherogenic index of plasma(AIP)has been shown to be positively correlated with cardiovascular disease in previous studies.However,it is unclear whether elderly people with long-term high AIP levels are more likely to develop coronary heart disease(CHD).Therefore,the aim of this study was to investigate the relationship between AIP trajectory and CHD incidence in elderly people.METHODS 19,194 participants aged≥60 years who had three AIP measurements between 2018 and 2020 were included in this study.AIP was defined as log10(triglyceride/high-density lipoprotein cholesterol).The group-based trajectory model was used to identify different trajectory patterns of AIP from 2018 to 2020.Cox proportional hazards models were used to estimate the hazard ratio(HR)with 95%CI of CHD events between different trajectory groups from 2020 to 2023.RESULTS Three different trajectory patterns were identified through group-based trajectory model:the low-level group(n=7410,mean AIP:-0.25 to-0.17),the medium-level group(n=9981,mean AIP:0.02-0.08),and the high-level group(n=1803,mean AIP:0.38-0.42).During a mean follow-up of 2.65 years,a total of 1391 participants developed CHD.After adjusting for potential confounders,compared with the participants in the low-level group,the HR with 95%CI of the medium-level group and the high-level group were estimated to be 1.24(1.10-1.40)and 1.43(1.19-1.73),respectively.These findings remained consistent in subgroup analyses and sensitivity analyses.CONCLUSIONS There was a significant correlation between persistent high AIP level and increased CHD risk in the elderly.This suggests that monitoring the long-term changes in AIP is helpful to identify individuals at high CHD risk in elderly people.
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.
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.
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.
基金Supporting Project number(RSP2024R444),King Saud University,Riyadh,Saudi Arabia.
文摘Authentication is the most crucial aspect of security and a predominant measure employed in cybersecurity.Cloud computing provides a shared electronic device resource for users via the internet,and the authentication techniques used must protect data from attacks.Previous approaches failed to resolve the challenge of making passwords secure,memorable,usable,and time-saving.Graphical Password(GP)is still not widely utilized in reality because consumers suffer from multiple login stages.This paper proposes an Indexed Choice-Based Graphical Password(ICGP)scheme for improving the authentication part.ICGP consists of two stages:registration and authentication.At the registration stage,the user registers his/her data user name a number called Index Number(IN),and chooses an image from a grid of images.After completing the registration,ICGP gives the user a random unique number(UNo)to be a user ID.At the authentication stage,the user chooses a different image from the grid based on the random appearance of the registered image dimensions on the grid plus the registered Index Number.ICGP password is a combination of three factors;user’s name,UNo,and any image.According to the experiments,the proposed ICGP has achieved great improvements when compared to prior methods.The ICGP has increased the possible password numbers from 9.77e+6 to 3.74e+30,the password space from 1.20e+34 to 1.37e+84,and decreased the password entropy from 7.16e−7 to 8.26e−30.
基金supported by Shandong Medical Health Science and Technology Surface Project(No.202303071517).
文摘Objectives:To explore the predictive value of the atherogenic index of plasma(AIP),triglyceride-glucose(TyG)index,and cerebral small vascular disease(CSVD)imaging load score regarding the early prognosis of patients with acute ischemic stroke(AIS)after intravenous thrombolysis.Methods:A total of 379 inpatients(diagnosed with AIS at the Shengli Oilfield Central Hospital and treated with intravenous thrombolysis from January 2022 to December 2023)were retrospectively analyzed.Relevant data were collected,and the CSVD imaging load score was evaluated.The patients were classified into the good prognosis group(≥18%)and the poor prognosis group(<18%)based on the early neurological improvement rate 14 d after thrombolysis.An investigation into the independent risk factors influencing the early prognostic outcomes in patients suffering from AIS was conducted utilizing binary Logistic regression analysis.The efficacy of early prognosis prediction in patients undergoing intravenous thrombolysis was assessed through receiver operating characteristic(ROC)curve analysis.Results:Systolic blood pressure,AIP,TyG index,neutrophil to lymphocyte ratio(NLR),cerebral microbleeds(CMB),enlarged perivascular spaces(EPVS)and a CSVD imaging load score of 2 points or higher served as independentrisk factors influencing the early prognosis in AIS patients undergoing thrombolysis.The ROC curve analysis revealed that the area under the curve(AUC)for the CSVD imaging load score was 0.821,with a sensitivity of 80.4%and a specificity of 74%.The AUC of the AIP was 0.951,with a sensitivity of 89.2%and a specificity of 91.7%.The AUC of the TyG index was 0.918,with a sensitivity of 93.1%and a specificity of 82.7%.Conclusions:The AIP,TyG index,and CSVD imaging load score serve as efficacious indicators in assessing the premature prognostication of AIS patients who underwent subsequently to intravenous thrombolytic therapy.
文摘Body mass index(BMI),with its simple formula of weight divided by height squared,has become a cornerstone tool in global public health for assessing obesity and health risks.However,as populations aging and the demand for precise health evaluation grows,the limitations of this single metric have become increasingly apparent—it fails to distinguish between muscle and adipose tissue and cannot capture the complex relationship between inflammatory status and body composition.A recent study published in Biomedical and Environmental Sciences(BES)by Zhang et al.[1],which explores the association of white blood cell(WBC)count,platelet(PLT)count,and platelet-to-white blood cell ratio(PWR)with muscle mass among Chinese communitydwelling older adults,provides critical evidence for rethinking the role of BMI.Additionally,several studies published in BES,spanning from childhood nutrition to adult metabolism,further illuminate the complexity of health assessment[2−5].Building on these findings and integrating evidence from multiple Chinese population studies,this commentary revisits the historical context,utility,inherent limitations,and future directions of this classic indicator.
