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
In the context of the digital transformation of vocational education,a quality evaluation index system has been constructed.Based on a questionnaire survey conducted among higher vocational colleges and enterprises in...In the context of the digital transformation of vocational education,a quality evaluation index system has been constructed.Based on a questionnaire survey conducted among higher vocational colleges and enterprises in Hainan Province,it has been found that the quality of vocational education generally depends on the talent training program and professional construction at the macro level.At the meso level,the teacher level and teaching environment are critical,while at the micro level,the evaluation of talent training quality cannot be underestimated.Strategies for quality improvement in vocational education are proposed from the perspectives of talent training programs,major construction,teacher development,teaching environment,and talent training quality,all under the lens of digital transformation.展开更多
BACKGROUND The diagnosis of gastric carcinoma(GC)is essential for improving clinical outcomes.However,the biomarkers currently used for GC screening are not ideal.AIM To explore the diagnostic implications of the neut...BACKGROUND The diagnosis of gastric carcinoma(GC)is essential for improving clinical outcomes.However,the biomarkers currently used for GC screening are not ideal.AIM To explore the diagnostic implications of the neutrophil-to-lymphocyte ratio(NLR),platelet-to-lymphocyte ratio(PLR),and systemic immune-inflammatory index(SII)for GC.METHODS The baseline data of 133 patients with GC and 134 patients with precancerous gastric conditions admitted between January 2022 and December 2023 were retrospectively analyzed.The information on peripheral blood platelet,neutrophil,and lymphocyte counts in each patient was collected,and the NLR,PLR,and SII levels of both groups were calculated.Additionally,multivariate logistic regression analysis was conducted,and the diagnostic implications of NLR,PLR,and SII in differentiating patients with precancerous gastric conditions,compared with those with GC,were analyzed through receiver operating characteristic(ROC)curves.RESULTS The data indicated that NLR,PLR,and SII had abnormally increased levels in the patients with GC.Gender and body mass index were risk factors for the occurrence of GC.ROC data revealed that the areas under the curve of three patients with precancerous gastric conditions,who were differentiated from those with GC,were 0.824,0.787,and 0.842,respectively.CONCLUSION NLR,PLR,and SII are all abnormally expressed in GC and have diagnostic implications,especially when used as joint indicators,in distinguishing patients with precancerous gastric conditions from those with GC.展开更多
BACKGROUND 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
Objective To establish a scientific,reliable,objective,and effective clinical comprehensive evaluation system for drugs centralized bidding procurement by government,and to conduct reliability and validity test and em...Objective To establish a scientific,reliable,objective,and effective clinical comprehensive evaluation system for drugs centralized bidding procurement by government,and to conduct reliability and validity test and empirical analysis of the evaluation index system through simulated measurement.Methods Literature research method was used to select comprehensive evaluation indicators for drugs centralized bidding procurement.Then,Dephi method was applied to screen the final evaluation indicators,and the weight of the indicators was determined using analytic hierarchy process.Results and Conclusion The final clinical efficacy evaluation index system for drugs centralized bidding procurement includes 5 primary indicators and 13 secondary indicators.The experts authority coefficient in this study is high,and their opinions relatively coincide.Through the empirical research,the reliability and structural validity of the indicator system is good.This indicator system enriches methods and tools for scientifically evaluating the clinical efficacy of drugs centralized bidding procurement.展开更多
This paper focuses on the optimization of the evaluation index system for the value of transportation infrastructure assets.It analyzes the shortcomings of the current system and explores the directions for optimizing...This paper focuses on the optimization of the evaluation index system for the value of transportation infrastructure assets.It analyzes the shortcomings of the current system and explores the directions for optimizing the index system from the perspectives of functionality,economy,social impact,environmental impact,and sustainability.The paper also discusses the application of the optimized index system in practical evaluation and the measures to ensure its effectiveness.The research aims to enhance the evaluation mechanism for the value of transportation infrastructure assets,providing a more scientific basis for decision-making,addressing challenges in asset management,improving the level of asset management in transportation infrastructure,and meeting the demands of high-quality development in the transportation sector in the new era.展开更多
In this paper,an index modulation(IM)aided uplink orthogonal time frequency space modulation(OTFS)structure for sparse code multiple access(SCMA)is proposed.To be more specific,the information bits are firstly partiti...In this paper,an index modulation(IM)aided uplink orthogonal time frequency space modulation(OTFS)structure for sparse code multiple access(SCMA)is proposed.To be more specific,the information bits are firstly partitioned for transmit antenna(TA)selection and sparse codeword mapping,respectively.Subsequently,the codewords deployed on the 2-dimensional(2D)delay-Doppler(DD)plane are transmitted by the selected TA,and the superimposed signals are jointly detected at the receiver.Furthermore,a low-complexity zero-embedded expectation propagation(ZE-EP)detector is conceived,where the codebooks are extended with zero vectors to reflect the silent indices.The simulation results demonstrate that the proposed IM-OTFS-SCMA system is capable of providing significant performance gain over the OTFS-SCMA counterpart.展开更多
Objective The systemic immune-inflammation index(SII)has recently attracted significant interest as a new biomarker for predicting the prognosis of patients with glioblastoma(GBM).However,the predictive significance o...Objective The systemic immune-inflammation index(SII)has recently attracted significant interest as a new biomarker for predicting the prognosis of patients with glioblastoma(GBM).However,the predictive significance of it is still a subject of debate.This study intended to assess the clinical effectiveness of the SII in GBM and establish a nomogram.Methods Receiver operating characteristic(ROC)curves were utilized to determine the optimal cut-off values of the SII.Kaplan–Meier(KM)survival curves were used to analyze the median overall survival(OS).Cox regression analysis was carried out to evaluate the associations between OS and different clinical factors.Based on the SII and clinical characteristics,a nomogram was constructed,and its value in clinical application was evaluated by means of decision curve analysis.Results The optimal SII cut-off value was 610.13.KM analysis revealed that GBM patients with higher SII values had shorter OS(15.0 vs.34.0 months,P=0.044).Multivariate analysis demonstrated that a high SII was an independent predictor of poor outcome in GBM(HR=1.79,P=0.029).The nomogram incorporating the preoperative SII showed good predictive accuracy for GBM patient prognosis(C-index=0.691).Conclusions The SII is an independent predictive indicator for GBM.Patients with elevated SII levels tend to have a poorer prognosis.A nomogram combining the SII with clinical and molecular pathological features can assist clinicians in assessing the risk of death in GBM patients,providing a basis for individualized treatment decisions.展开更多
Atrial fibrillation(Afib)is a common arrhythmia with significant public health implications,affecting millions of individuals worldwide.Catheter ablation(CA)is an established treatment for drug-resistant Afib,yet recu...Atrial fibrillation(Afib)is a common arrhythmia with significant public health implications,affecting millions of individuals worldwide.Catheter ablation(CA)is an established treatment for drug-resistant Afib,yet recurrence remains a major concern,impacting quality of life in a significant portion of patients.Inflammation plays a critical role in the recurrence of Afib after ablation,with systemic inflammatory markers such as C-reactive protein being linked to higher recurrence rates.In this editorial,we discuss the study by Wang et al,published in the latest issue,which investigates the predictive role of the systemic immune inflammation index(SII)in Afib recurrence following radiofrequency CA.Elevated pre-ablation SII levels are identified as an independent predictor of recurrence,significantly enhancing the predictive power of the APPLE score.Integration of SII improved the APPLE score’s predictive performance,as shown by enhanced area under the curve,net reclassification improvement,and integrated discrimination improvement.This combined model highlights the importance of both structural and inflammatory factors in Afib recurrence,offering a more personalized approach to patient management.Additionally,the affordability and accessibility of SII enhance its practicality in clinical workflows.The study by Wang et al underscores the potential of integrating SII with existing scoring systems to refine risk stratification and optimize treatment strategies.Future research should validate these findings across diverse populations,explore limitations such as the potential influence of comorbidities on SII reliability,and investigate additional biomarkers to enhance predictive accuracy.展开更多
The recurrence of atrial fibrillation(AF)in patients after successful radiofrequency catheter ablation(RFCA)appears to be an unresolved clinical issue and needs to be clearly elucidated.There are many factors associat...The recurrence of atrial fibrillation(AF)in patients after successful radiofrequency catheter ablation(RFCA)appears to be an unresolved clinical issue and needs to be clearly elucidated.There are many factors associated with AF recurrence,such as duration of AF,male sex,concomitant heart failure,hemodynamic parameters,chronic obstructive pulmonary disease,hypertension,obstructive sleep apnea,hyperthyroidism,smoking and obesity.However,the inflammatory changes are strongly associated with electrical and structural cardiac remodeling,cardiac damage,myocardial fibrotic changes,microvascular dysfunction and altered reparative response.In this context,biomarkers reflecting the different stages of AF pathogenesis deserve thorough investigation.The authors of the retrospective study revealed that one-year recurrence rate of non-valvular AF in the high systemic immune inflammation(SII)index group was significantly increased compared to that of the low SII index group and provided additional predictive value to the APPLE.Furthermore,the authors suggest that this biomarker may help physicians to optimize the selection of AF patients and to develop a personalized treatment approach.In conclusion,the SII index may serve as a valuable indicator of recurrent AF in patients after RFCA and may be a biomarker with plausible predictive value for poor clinical outcomes.展开更多
Atrial fibrillation(AF)is the most common arrhythmia in humans,affecting more than 40 million people worldwide.Radiofrequency catheter ablation(RFCA)was first introduced as a treatment for AF by Haïssaguerre M in...Atrial fibrillation(AF)is the most common arrhythmia in humans,affecting more than 40 million people worldwide.Radiofrequency catheter ablation(RFCA)was first introduced as a treatment for AF by Haïssaguerre M in the late 1990s.This procedure quickly became the treatment of choice,especially for symptomatic patients with AF refractory to medication.However,up to 45%of patients may experience AF recurrence within 12 months after RFCA.In this setting,AF recurrence is likely multifactorial,including atrial remodeling,local fibrosis or incomplete ablation due to failure in locating the trigger.Additionally,patients with obesity,sleep apnea,hypertension,or diabetes are at an increased risk of AF recurrence after RFCA.Inflammation is increasingly recognized as a potential key factor in AF recurrence and may arise both from the healing response of heart tissue post-ablation or from chronic low-grade inflammation,as observed in many risk factors.Here,we present an original study by Wang et al,which investigated the combination of the systemic immune-inflammation index-a marker developed to assess overall inflammatory status-and the APPLE score,designed to predict AF recurrence following RFCA.The study found that using both indicators together improved the accuracy of AF recurrence prediction.These findings underscore the significant role of inflammation in cardiovascular disease and demonstrated its impact on AF recurrence after RFCA.Further research is warranted to validate the combined use of these two scores in clinical settings for predicting AF recurrence following catheter ablation.展开更多
Background:No clear evidence exists regarding the relationship between the systemic immune-inflammation index(SII)and the efficacy of first-line chemotherapy combined with immunotherapy in patients with advanced non-s...Background:No clear evidence exists regarding the relationship between the systemic immune-inflammation index(SII)and the efficacy of first-line chemotherapy combined with immunotherapy in patients with advanced non-small cell lung cancer(NSCLC).This study aimed to establish the relationship between the SII and survival of patients with advanced NSCLC.Methods:This study included 123 patients with advanced NSCLC.The cutoff value of the SII was determined to be 1172 using ROC curve analysis.We evaluated the relationship between the SII and progression-free survival(PFS)and overall survival(OS)using the Cox regression model and Kaplan-Meier(KM)curve analysis.We stratified patients into multiple subgroups based on covariates such as age,sex,and smoking history.Subgroup analysis was used to evaluate the relationship between high SII,disease progression,and mortality risk.Results:Univariate analysis indicated that no significant difference existed between SII and PFS,but univariate analysis showed a significant association between SII and OS(hazard ratio[HR]=1.93,95% confidence interval[CI]=1.14-3.29,p=0.015).The fully adjusted Cox regression analysis also showed a significant correlation between the SII and OS after adjustment for covariables(HR=1.76,95%CI=1.02-3.02,p=0.041).In some subgroups,a high SII positively correlated with the risk of disease progression,and the relationship between a high SII and the risk of mortality was consistent in almost all subgroups.Conclusions:These results indicate that pretreatment SII may be an independent predictivemarker for patients with advanced NSCLC undergoing first-line chemotherapy combined with immunotherapy.However,large-scale prospective studies are required to confirm our results.展开更多
BACKGROUND Systemic immune-inflammation index(SII)combined with serum lactoferrin(LF)level can provide a reference for predicting the postoperative survival and prognosis of older patients with colon cancer.AIM To eva...BACKGROUND Systemic immune-inflammation index(SII)combined with serum lactoferrin(LF)level can provide a reference for predicting the postoperative survival and prognosis of older patients with colon cancer.AIM To evaluate the predictive value of SII combined with serum LF for postoperative survival in older patients with colon cancer.METHODS This prospective study included 62 older patients[range,65-85 years;average age(72.46±6.02)years]with colon cancer who underwent radical surgery at our hospital between January 2023 and September 2024.Colon cancer was confirmed on postoperative pathology.All patients underwent peripheral blood,LF,and tumor marker tests and imaging examinations preoperatively.The ability to predict overall survival(OS)and disease-free survival(DFS)by dynamically monitoring the SII[platelet(PLT)count×neutrophil(NEU)count/lymphocyte(LYM)count]and LF levels in combination with postoperative follow-up data was assessed.SII,LF levels,and postoperative data were analyzed using receiver operating characteristic curves,univariate,and multivariate Cox regression analyses to assess OS and DFS.RESULTS All patients were followed up conventionally postoperatively.There were no significant differences in the patients’baseline data.From 3 months preoperatively until after surgery,the values of routine blood indices(NEUs,LYMs,and PLTs)and SII tended to decrease,but the difference was not statistically significant.The LF level gradually decreased,and there were significant differences at 1 week,1 month and 3 months postoperatively(P<0.05).Liver and kidney functions significantly increased 1 week postoperatively and gradually recovered(P<0.05).The C-reactive protein level significantly increased 1 week postoperatively,whereas the prealbumin level significantly decreased then recovered 3 months postoperatively(P<0.05).The levels of carcinoembryonic antigen(CEA)and carbohydrate antigen 19-9(CA19-9)significantly increased 6 months postoperatively,suggesting an increased risk of recurrence(P<0.05).Both the OS and DFS showed significant changes over time.Preoperative SII and LF levels had significant predictive values for OS and DFS.In logistics regression analysis,a SII of 585 or greater and LF level less than 185 ng/mL(determined by maximizing the Youden index)correlated with postoperative survival(P<0.05).Further Cox regression analysis showed that the SII and LF,CA19-9,and CEA levels were independent predictors of postoperative OS(P<0.05),whereas the tumor,node,metastasis stage;LF level;and SII were independent predictors of DFS.CONCLUSION This preliminary analysis suggests that the SII and LF levels may predict the survival and prognosis of older patients with colon cancer postoperatively,when assessing the risk of postoperative recurrence and complications.These two categories of indicators have good prognostic evaluation potential in clinical practice and can provide strong support for the development of individualized treatment strategies.展开更多
Background The association of systemic inflammatory response index(SIRI)with prognosis of coronary artery disease(CAD)patients has never been investigated in a large sample with long-term follow-up.This study aimed to...Background The association of systemic inflammatory response index(SIRI)with prognosis of coronary artery disease(CAD)patients has never been investigated in a large sample with long-term follow-up.This study aimed to explore the association of SIRI with all-cause and cause-specific mortality in a nationally representative sample of CAD patients from United States.Methods A total of 3386 participants with CAD from the National Health and Nutrition Examination Survey(NHANES)1999-2018 were included in this study.Cox proportional hazards model,restricted cubic spline(RCS),and receiver operating characteristic curve(ROC)were performed to investigate the association of SIRI with all-cause and cause-specific mortality.Piecewise linear regression and sensitivity analyses were also performed.Results During a median follow-up of 7.7 years,1454 all-cause mortality occurred.After adjusting for confounding factors,higher lnSIRI was significantly associated with higher risk of all-cause(HR=1.16,95%CI:1.09-1.23)and CVD mortality(HR=1.17,95%CI:1.05-1.30)but not cancer mortality(HR=1.17,95%CI:0.99-1.38).The associations of SIRI with all-cause and CVD mortality were detected as J-shaped with threshold values of 1.05935 and 1.122946 for SIRI,respectively.ROC curves showed that lnSIRI had robust predictive effect both in short and long terms.Conclusions SIRI was independently associated with all-cause and CVD mortality,and the dose-response relationship was Jshaped.SIRI might serve as a valid predictor for all-cause and CVD mortality both in the short and long terms.展开更多
In the context of post-stimulation shale gas wells,the terms“shut-in”and“flowback”refer to two critical phases that occur after hydraulic fracturing(fracking)has been completed.These stages play a crucial role in ...In the context of post-stimulation shale gas wells,the terms“shut-in”and“flowback”refer to two critical phases that occur after hydraulic fracturing(fracking)has been completed.These stages play a crucial role in determining both the well’s initial production performance and its long-term hydrocarbon recovery.By establishing a comprehensive big data analysis platform,the flowback dynamics of over 1000 shale gas wells were analyzed in this work,leading to the development of an index system for evaluating flowback production capacity.Additionally,a shut-in chart was created for wells with different types of post-stimulation fracture networks,providing a structured approach to optimizing production strategies.A dynamic analysis method for flowback was also developed,using daily pressure drop and artificial fracture conductivity as key indicators.This method offers a systematic and effective approach to managing the shut-in and flowback processes for gas wells.Field trials demonstrated significant improvements:the probability of sand production was reduced,gas breakthrough time was extended,artificial fracture conductivity was enhanced,and the average estimated ultimate recovery(EUR)per well increased.展开更多
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
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
Gastric ulcer(GU)represents a clinically significant manifestation of peptic ulcer disease,driven by a complex interplay of microbial,environmental,and immuneinflammatory factors.A recent cross-sectional study by Shen...Gastric ulcer(GU)represents a clinically significant manifestation of peptic ulcer disease,driven by a complex interplay of microbial,environmental,and immuneinflammatory factors.A recent cross-sectional study by Shen et al systematically evaluated six complete blood count-derived inflammatory indices:Neutrophil-tolymphocyte ratio,monocyte-to-lymphocyte ratio,platelet-to-lymphocyte ratio,systemic immune-inflammation index,systemic inflammatory response index(SIRI),and aggregate index of systemic inflammation and demonstrated their positive associations with GU prevalence,identifying SIRI as the strongest predictor.This editorial contextualizes these findings within the broader literature,clarifies that these indices reflect systemic rather than GU-specific inflammation,highlights methodological strengths and major limitations,and proposes a conceptual clinical algorithm for integrating SIRI into GU risk assessment.Future multicenter studies incorporating Helicobacter pylori infection,non-steroidal antiinflammatory drug exposure,and prospective design are essential to validate and translate these findings into clinical practice.展开更多
Ecosystems along the eastern margin of the Qinghai-Tibet Plateau(EQTP)are highly fragile and extremely sensitive to climate change and human disturbances.To quantitatively assess climate-induced ecosystem responses,th...Ecosystems along the eastern margin of the Qinghai-Tibet Plateau(EQTP)are highly fragile and extremely sensitive to climate change and human disturbances.To quantitatively assess climate-induced ecosystem responses,this study proposes a Climate-Induced Productivity Index(CIPI)based on the Super Slack-Based Measure(Super-SBM)model using remote sensing data from 2001 to 2020.The results reveal persistently low CIPI values(0.47-0.53)across major ecosystem types,indicating widespread vulnerability to climatic variability.Among these ecosystems,forests exhibit the highest CIPI(0.55),followed by shrublands(0.54),croplands(0.53),grasslands(0.51),and barelands(0.43).The Theil index analysis further demonstrates significant intra-group disparities,suggesting that extreme climatic events amplify CIPI heterogeneity.Moreover,the dominant environmental drivers differ among ecosystem types:the Palmer Drought Severity Index(PDSI)primarily constrains grassland productivity,solar radiation(SRAD)strongly influences shrub and cropland systems,whereas subsurface factors exert greater control in forested regions.This study provides a quantitative framework for evaluating climate-ecosystem interactions and offers a scientific basis for long-term ecological monitoring and security planning across the EQTP.展开更多
[Objective] The aim was to establish the water quality evaluation index system for freshwater aquaculture pond.[Method] The expert survey,DELPHI,field research and other methods were used.Based on the analysis of fact...[Objective] The aim was to establish the water quality evaluation index system for freshwater aquaculture pond.[Method] The expert survey,DELPHI,field research and other methods were used.Based on the analysis of factors influencing water quality of freshwater aquaculture pond,and the importance degree of 14 factors influencing water quality of freshwater aquaculture pond was ordered.Then,five factors were selected as index to establish the water quality evaluation index system of freshwater aquaculture with the determination for thresholds of these factors.[Result] The importance degree of water quality of freshwater aquaculture pond showed an order of Dissolved oxygenpHPhytoplankton biomassSecchi depthTotal NitrogenZooplankton biomassWater temperatureBiochemical Oxygen DemandWater colorSalinityTotal hardness;according to the value of importance degree,the dissolved oxygen,pH,secchi depth,phytoplankton biomass and total nitrogen these five factors were selected as the index system of water quality evaluation of pond.The level of water quality of freshwater aquaculture pond was divided into five,and the tolerance range of fish to each index was obtained by expert observation.[Conclusion] This study had provided a scientific basis for water quality evaluation system of freshwater aquaculture pond.展开更多
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.
文摘In the context of the digital transformation of vocational education,a quality evaluation index system has been constructed.Based on a questionnaire survey conducted among higher vocational colleges and enterprises in Hainan Province,it has been found that the quality of vocational education generally depends on the talent training program and professional construction at the macro level.At the meso level,the teacher level and teaching environment are critical,while at the micro level,the evaluation of talent training quality cannot be underestimated.Strategies for quality improvement in vocational education are proposed from the perspectives of talent training programs,major construction,teacher development,teaching environment,and talent training quality,all under the lens of digital transformation.
文摘BACKGROUND The diagnosis of gastric carcinoma(GC)is essential for improving clinical outcomes.However,the biomarkers currently used for GC screening are not ideal.AIM To explore the diagnostic implications of the neutrophil-to-lymphocyte ratio(NLR),platelet-to-lymphocyte ratio(PLR),and systemic immune-inflammatory index(SII)for GC.METHODS The baseline data of 133 patients with GC and 134 patients with precancerous gastric conditions admitted between January 2022 and December 2023 were retrospectively analyzed.The information on peripheral blood platelet,neutrophil,and lymphocyte counts in each patient was collected,and the NLR,PLR,and SII levels of both groups were calculated.Additionally,multivariate logistic regression analysis was conducted,and the diagnostic implications of NLR,PLR,and SII in differentiating patients with precancerous gastric conditions,compared with those with GC,were analyzed through receiver operating characteristic(ROC)curves.RESULTS The data indicated that NLR,PLR,and SII had abnormally increased levels in the patients with GC.Gender and body mass index were risk factors for the occurrence of GC.ROC data revealed that the areas under the curve of three patients with precancerous gastric conditions,who were differentiated from those with GC,were 0.824,0.787,and 0.842,respectively.CONCLUSION NLR,PLR,and SII are all abnormally expressed in GC and have diagnostic implications,especially when used as joint indicators,in distinguishing patients with precancerous gastric conditions from those with GC.
基金Supported by 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Objective To establish a scientific,reliable,objective,and effective clinical comprehensive evaluation system for drugs centralized bidding procurement by government,and to conduct reliability and validity test and empirical analysis of the evaluation index system through simulated measurement.Methods Literature research method was used to select comprehensive evaluation indicators for drugs centralized bidding procurement.Then,Dephi method was applied to screen the final evaluation indicators,and the weight of the indicators was determined using analytic hierarchy process.Results and Conclusion The final clinical efficacy evaluation index system for drugs centralized bidding procurement includes 5 primary indicators and 13 secondary indicators.The experts authority coefficient in this study is high,and their opinions relatively coincide.Through the empirical research,the reliability and structural validity of the indicator system is good.This indicator system enriches methods and tools for scientifically evaluating the clinical efficacy of drugs centralized bidding procurement.
文摘This paper focuses on the optimization of the evaluation index system for the value of transportation infrastructure assets.It analyzes the shortcomings of the current system and explores the directions for optimizing the index system from the perspectives of functionality,economy,social impact,environmental impact,and sustainability.The paper also discusses the application of the optimized index system in practical evaluation and the measures to ensure its effectiveness.The research aims to enhance the evaluation mechanism for the value of transportation infrastructure assets,providing a more scientific basis for decision-making,addressing challenges in asset management,improving the level of asset management in transportation infrastructure,and meeting the demands of high-quality development in the transportation sector in the new era.
基金supported in part by the National Key Research and Development Program of China with Grant number 2021YFB2900502。
文摘In this paper,an index modulation(IM)aided uplink orthogonal time frequency space modulation(OTFS)structure for sparse code multiple access(SCMA)is proposed.To be more specific,the information bits are firstly partitioned for transmit antenna(TA)selection and sparse codeword mapping,respectively.Subsequently,the codewords deployed on the 2-dimensional(2D)delay-Doppler(DD)plane are transmitted by the selected TA,and the superimposed signals are jointly detected at the receiver.Furthermore,a low-complexity zero-embedded expectation propagation(ZE-EP)detector is conceived,where the codebooks are extended with zero vectors to reflect the silent indices.The simulation results demonstrate that the proposed IM-OTFS-SCMA system is capable of providing significant performance gain over the OTFS-SCMA counterpart.
基金funded by National Natural Science Foundation of China,grant number 82203007.
文摘Objective The systemic immune-inflammation index(SII)has recently attracted significant interest as a new biomarker for predicting the prognosis of patients with glioblastoma(GBM).However,the predictive significance of it is still a subject of debate.This study intended to assess the clinical effectiveness of the SII in GBM and establish a nomogram.Methods Receiver operating characteristic(ROC)curves were utilized to determine the optimal cut-off values of the SII.Kaplan–Meier(KM)survival curves were used to analyze the median overall survival(OS).Cox regression analysis was carried out to evaluate the associations between OS and different clinical factors.Based on the SII and clinical characteristics,a nomogram was constructed,and its value in clinical application was evaluated by means of decision curve analysis.Results The optimal SII cut-off value was 610.13.KM analysis revealed that GBM patients with higher SII values had shorter OS(15.0 vs.34.0 months,P=0.044).Multivariate analysis demonstrated that a high SII was an independent predictor of poor outcome in GBM(HR=1.79,P=0.029).The nomogram incorporating the preoperative SII showed good predictive accuracy for GBM patient prognosis(C-index=0.691).Conclusions The SII is an independent predictive indicator for GBM.Patients with elevated SII levels tend to have a poorer prognosis.A nomogram combining the SII with clinical and molecular pathological features can assist clinicians in assessing the risk of death in GBM patients,providing a basis for individualized treatment decisions.
文摘Atrial fibrillation(Afib)is a common arrhythmia with significant public health implications,affecting millions of individuals worldwide.Catheter ablation(CA)is an established treatment for drug-resistant Afib,yet recurrence remains a major concern,impacting quality of life in a significant portion of patients.Inflammation plays a critical role in the recurrence of Afib after ablation,with systemic inflammatory markers such as C-reactive protein being linked to higher recurrence rates.In this editorial,we discuss the study by Wang et al,published in the latest issue,which investigates the predictive role of the systemic immune inflammation index(SII)in Afib recurrence following radiofrequency CA.Elevated pre-ablation SII levels are identified as an independent predictor of recurrence,significantly enhancing the predictive power of the APPLE score.Integration of SII improved the APPLE score’s predictive performance,as shown by enhanced area under the curve,net reclassification improvement,and integrated discrimination improvement.This combined model highlights the importance of both structural and inflammatory factors in Afib recurrence,offering a more personalized approach to patient management.Additionally,the affordability and accessibility of SII enhance its practicality in clinical workflows.The study by Wang et al underscores the potential of integrating SII with existing scoring systems to refine risk stratification and optimize treatment strategies.Future research should validate these findings across diverse populations,explore limitations such as the potential influence of comorbidities on SII reliability,and investigate additional biomarkers to enhance predictive accuracy.
文摘The recurrence of atrial fibrillation(AF)in patients after successful radiofrequency catheter ablation(RFCA)appears to be an unresolved clinical issue and needs to be clearly elucidated.There are many factors associated with AF recurrence,such as duration of AF,male sex,concomitant heart failure,hemodynamic parameters,chronic obstructive pulmonary disease,hypertension,obstructive sleep apnea,hyperthyroidism,smoking and obesity.However,the inflammatory changes are strongly associated with electrical and structural cardiac remodeling,cardiac damage,myocardial fibrotic changes,microvascular dysfunction and altered reparative response.In this context,biomarkers reflecting the different stages of AF pathogenesis deserve thorough investigation.The authors of the retrospective study revealed that one-year recurrence rate of non-valvular AF in the high systemic immune inflammation(SII)index group was significantly increased compared to that of the low SII index group and provided additional predictive value to the APPLE.Furthermore,the authors suggest that this biomarker may help physicians to optimize the selection of AF patients and to develop a personalized treatment approach.In conclusion,the SII index may serve as a valuable indicator of recurrent AF in patients after RFCA and may be a biomarker with plausible predictive value for poor clinical outcomes.
文摘Atrial fibrillation(AF)is the most common arrhythmia in humans,affecting more than 40 million people worldwide.Radiofrequency catheter ablation(RFCA)was first introduced as a treatment for AF by Haïssaguerre M in the late 1990s.This procedure quickly became the treatment of choice,especially for symptomatic patients with AF refractory to medication.However,up to 45%of patients may experience AF recurrence within 12 months after RFCA.In this setting,AF recurrence is likely multifactorial,including atrial remodeling,local fibrosis or incomplete ablation due to failure in locating the trigger.Additionally,patients with obesity,sleep apnea,hypertension,or diabetes are at an increased risk of AF recurrence after RFCA.Inflammation is increasingly recognized as a potential key factor in AF recurrence and may arise both from the healing response of heart tissue post-ablation or from chronic low-grade inflammation,as observed in many risk factors.Here,we present an original study by Wang et al,which investigated the combination of the systemic immune-inflammation index-a marker developed to assess overall inflammatory status-and the APPLE score,designed to predict AF recurrence following RFCA.The study found that using both indicators together improved the accuracy of AF recurrence prediction.These findings underscore the significant role of inflammation in cardiovascular disease and demonstrated its impact on AF recurrence after RFCA.Further research is warranted to validate the combined use of these two scores in clinical settings for predicting AF recurrence following catheter ablation.
基金supported by grants from the“Joint Project on Regional High-Incidence Diseases Research of Guangxi Natural Science Foundation”under Grant No.2023JJA141341the“Guangxi Medical and Health Key Discipline Construction Project.”。
文摘Background:No clear evidence exists regarding the relationship between the systemic immune-inflammation index(SII)and the efficacy of first-line chemotherapy combined with immunotherapy in patients with advanced non-small cell lung cancer(NSCLC).This study aimed to establish the relationship between the SII and survival of patients with advanced NSCLC.Methods:This study included 123 patients with advanced NSCLC.The cutoff value of the SII was determined to be 1172 using ROC curve analysis.We evaluated the relationship between the SII and progression-free survival(PFS)and overall survival(OS)using the Cox regression model and Kaplan-Meier(KM)curve analysis.We stratified patients into multiple subgroups based on covariates such as age,sex,and smoking history.Subgroup analysis was used to evaluate the relationship between high SII,disease progression,and mortality risk.Results:Univariate analysis indicated that no significant difference existed between SII and PFS,but univariate analysis showed a significant association between SII and OS(hazard ratio[HR]=1.93,95% confidence interval[CI]=1.14-3.29,p=0.015).The fully adjusted Cox regression analysis also showed a significant correlation between the SII and OS after adjustment for covariables(HR=1.76,95%CI=1.02-3.02,p=0.041).In some subgroups,a high SII positively correlated with the risk of disease progression,and the relationship between a high SII and the risk of mortality was consistent in almost all subgroups.Conclusions:These results indicate that pretreatment SII may be an independent predictivemarker for patients with advanced NSCLC undergoing first-line chemotherapy combined with immunotherapy.However,large-scale prospective studies are required to confirm our results.
基金Supported by Rugao Science and Technology Research and Development Program(Agriculture and Social Development)Project,No.SRGS(24)061.
文摘BACKGROUND Systemic immune-inflammation index(SII)combined with serum lactoferrin(LF)level can provide a reference for predicting the postoperative survival and prognosis of older patients with colon cancer.AIM To evaluate the predictive value of SII combined with serum LF for postoperative survival in older patients with colon cancer.METHODS This prospective study included 62 older patients[range,65-85 years;average age(72.46±6.02)years]with colon cancer who underwent radical surgery at our hospital between January 2023 and September 2024.Colon cancer was confirmed on postoperative pathology.All patients underwent peripheral blood,LF,and tumor marker tests and imaging examinations preoperatively.The ability to predict overall survival(OS)and disease-free survival(DFS)by dynamically monitoring the SII[platelet(PLT)count×neutrophil(NEU)count/lymphocyte(LYM)count]and LF levels in combination with postoperative follow-up data was assessed.SII,LF levels,and postoperative data were analyzed using receiver operating characteristic curves,univariate,and multivariate Cox regression analyses to assess OS and DFS.RESULTS All patients were followed up conventionally postoperatively.There were no significant differences in the patients’baseline data.From 3 months preoperatively until after surgery,the values of routine blood indices(NEUs,LYMs,and PLTs)and SII tended to decrease,but the difference was not statistically significant.The LF level gradually decreased,and there were significant differences at 1 week,1 month and 3 months postoperatively(P<0.05).Liver and kidney functions significantly increased 1 week postoperatively and gradually recovered(P<0.05).The C-reactive protein level significantly increased 1 week postoperatively,whereas the prealbumin level significantly decreased then recovered 3 months postoperatively(P<0.05).The levels of carcinoembryonic antigen(CEA)and carbohydrate antigen 19-9(CA19-9)significantly increased 6 months postoperatively,suggesting an increased risk of recurrence(P<0.05).Both the OS and DFS showed significant changes over time.Preoperative SII and LF levels had significant predictive values for OS and DFS.In logistics regression analysis,a SII of 585 or greater and LF level less than 185 ng/mL(determined by maximizing the Youden index)correlated with postoperative survival(P<0.05).Further Cox regression analysis showed that the SII and LF,CA19-9,and CEA levels were independent predictors of postoperative OS(P<0.05),whereas the tumor,node,metastasis stage;LF level;and SII were independent predictors of DFS.CONCLUSION This preliminary analysis suggests that the SII and LF levels may predict the survival and prognosis of older patients with colon cancer postoperatively,when assessing the risk of postoperative recurrence and complications.These two categories of indicators have good prognostic evaluation potential in clinical practice and can provide strong support for the development of individualized treatment strategies.
基金National Key Research and Development Program of China(2022YFC2503500 and 2022YFC2503504)。
文摘Background The association of systemic inflammatory response index(SIRI)with prognosis of coronary artery disease(CAD)patients has never been investigated in a large sample with long-term follow-up.This study aimed to explore the association of SIRI with all-cause and cause-specific mortality in a nationally representative sample of CAD patients from United States.Methods A total of 3386 participants with CAD from the National Health and Nutrition Examination Survey(NHANES)1999-2018 were included in this study.Cox proportional hazards model,restricted cubic spline(RCS),and receiver operating characteristic curve(ROC)were performed to investigate the association of SIRI with all-cause and cause-specific mortality.Piecewise linear regression and sensitivity analyses were also performed.Results During a median follow-up of 7.7 years,1454 all-cause mortality occurred.After adjusting for confounding factors,higher lnSIRI was significantly associated with higher risk of all-cause(HR=1.16,95%CI:1.09-1.23)and CVD mortality(HR=1.17,95%CI:1.05-1.30)but not cancer mortality(HR=1.17,95%CI:0.99-1.38).The associations of SIRI with all-cause and CVD mortality were detected as J-shaped with threshold values of 1.05935 and 1.122946 for SIRI,respectively.ROC curves showed that lnSIRI had robust predictive effect both in short and long terms.Conclusions SIRI was independently associated with all-cause and CVD mortality,and the dose-response relationship was Jshaped.SIRI might serve as a valid predictor for all-cause and CVD mortality both in the short and long terms.
基金PetroChina Research Applied Science and Technology Project,“Shale Gas Scale Increase Production and Exploration andDevelopment Technology-Research and Application of Key Technology of Deep Shale Gas Scale Production”(No.2023ZZ21YJ01).
文摘In the context of post-stimulation shale gas wells,the terms“shut-in”and“flowback”refer to two critical phases that occur after hydraulic fracturing(fracking)has been completed.These stages play a crucial role in determining both the well’s initial production performance and its long-term hydrocarbon recovery.By establishing a comprehensive big data analysis platform,the flowback dynamics of over 1000 shale gas wells were analyzed in this work,leading to the development of an index system for evaluating flowback production capacity.Additionally,a shut-in chart was created for wells with different types of post-stimulation fracture networks,providing a structured approach to optimizing production strategies.A dynamic analysis method for flowback was also developed,using daily pressure drop and artificial fracture conductivity as key indicators.This method offers a systematic and effective approach to managing the shut-in and flowback processes for gas wells.Field trials demonstrated significant improvements:the probability of sand production was reduced,gas breakthrough time was extended,artificial fracture conductivity was enhanced,and the average estimated ultimate recovery(EUR)per well increased.
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.
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 the National Natural Science Foundation of China,No.82170406 and No.81970238.
文摘Gastric ulcer(GU)represents a clinically significant manifestation of peptic ulcer disease,driven by a complex interplay of microbial,environmental,and immuneinflammatory factors.A recent cross-sectional study by Shen et al systematically evaluated six complete blood count-derived inflammatory indices:Neutrophil-tolymphocyte ratio,monocyte-to-lymphocyte ratio,platelet-to-lymphocyte ratio,systemic immune-inflammation index,systemic inflammatory response index(SIRI),and aggregate index of systemic inflammation and demonstrated their positive associations with GU prevalence,identifying SIRI as the strongest predictor.This editorial contextualizes these findings within the broader literature,clarifies that these indices reflect systemic rather than GU-specific inflammation,highlights methodological strengths and major limitations,and proposes a conceptual clinical algorithm for integrating SIRI into GU risk assessment.Future multicenter studies incorporating Helicobacter pylori infection,non-steroidal antiinflammatory drug exposure,and prospective design are essential to validate and translate these findings into clinical practice.
基金National Key R&D Program of China,No.2022YFF1302401National Natural Science Foundation of China,No.42271007。
文摘Ecosystems along the eastern margin of the Qinghai-Tibet Plateau(EQTP)are highly fragile and extremely sensitive to climate change and human disturbances.To quantitatively assess climate-induced ecosystem responses,this study proposes a Climate-Induced Productivity Index(CIPI)based on the Super Slack-Based Measure(Super-SBM)model using remote sensing data from 2001 to 2020.The results reveal persistently low CIPI values(0.47-0.53)across major ecosystem types,indicating widespread vulnerability to climatic variability.Among these ecosystems,forests exhibit the highest CIPI(0.55),followed by shrublands(0.54),croplands(0.53),grasslands(0.51),and barelands(0.43).The Theil index analysis further demonstrates significant intra-group disparities,suggesting that extreme climatic events amplify CIPI heterogeneity.Moreover,the dominant environmental drivers differ among ecosystem types:the Palmer Drought Severity Index(PDSI)primarily constrains grassland productivity,solar radiation(SRAD)strongly influences shrub and cropland systems,whereas subsurface factors exert greater control in forested regions.This study provides a quantitative framework for evaluating climate-ecosystem interactions and offers a scientific basis for long-term ecological monitoring and security planning across the EQTP.
基金Supported by National Natural Science Foundation of China (40801227)Foundation of Key Laboratory of Aquatic Genetic Resources and Aquacul-tural Ecology,Ministry of Agriculture (KFT2006-7)~~
文摘[Objective] The aim was to establish the water quality evaluation index system for freshwater aquaculture pond.[Method] The expert survey,DELPHI,field research and other methods were used.Based on the analysis of factors influencing water quality of freshwater aquaculture pond,and the importance degree of 14 factors influencing water quality of freshwater aquaculture pond was ordered.Then,five factors were selected as index to establish the water quality evaluation index system of freshwater aquaculture with the determination for thresholds of these factors.[Result] The importance degree of water quality of freshwater aquaculture pond showed an order of Dissolved oxygenpHPhytoplankton biomassSecchi depthTotal NitrogenZooplankton biomassWater temperatureBiochemical Oxygen DemandWater colorSalinityTotal hardness;according to the value of importance degree,the dissolved oxygen,pH,secchi depth,phytoplankton biomass and total nitrogen these five factors were selected as the index system of water quality evaluation of pond.The level of water quality of freshwater aquaculture pond was divided into five,and the tolerance range of fish to each index was obtained by expert observation.[Conclusion] This study had provided a scientific basis for water quality evaluation system of freshwater aquaculture pond.
