[Objective]The construction of weirs changes the hydraulic characteristics of rivers and affects the structure of phytoplankton communities and the health of aquatic ecosystems in the river.This study aims to explore ...[Objective]The construction of weirs changes the hydraulic characteristics of rivers and affects the structure of phytoplankton communities and the health of aquatic ecosystems in the river.This study aims to explore the nonlinear response relationship between phytoplankton community structure and its driving factors in spring and autumn in Furong Creek under the construction of cascade weirs.[Methods]The structure of phytoplankton communities and related environmental factors were investigated in Furong Creek from 2023 to 2024.This study focused on the analysis of the changes of nutrient concentrations and biomass of phytoplankton in autumn and spring within the same dry season in Furong Creek.Redundancy analysis was used to identify the key factors influencing the structure of phytoplankton communities.The MIKE 11 model was employed to simulate the hydrodynamic changes in the river.Combined with total nitrogen and permanganate index,a GAM model of phytoplankton diversity index and hydrodynamic factors was developed,and the change of phytoplankton diversity after the optimized layout of the cascade weirs was fitted.[Results]The result showed that the annual average value of Shannon-Wiener diversity index of phytoplankton in Furong Creek was 2.79,which was in a state of mild pollution.A total of 239 species from 95 genera in 8 phyla were identified.Among the phytoplankton,Chlorophyta was the dominant group throughout the year in Furong Creek,followed by Bacillariophyta and Cyanophyta.The cell abundance of phytoplankton ranged from 3.11 to 20.64 mg/L and from 0.23 to 6.31 mg/L in spring and autumn,which indicated a clear seasonal succession of phytoplankton community structure.Compared with autumn,the relative abundance of Cyanophyta significantly decreased in spring across the whole river section,while Chrysophyta and Dinophyta showed significant increase at some monitoring sites,leading to water bloom phenomenon and a noticeable decline in the diversity of phytoplankton.The dominant species in the water bodies throughout the year were Cyclotella catenata,Chlorella vulgaris,Scenedesmus bijuga,Scenedesmus quadricauda,Chroomonas acuta,Cryptomonas ovata,and Cryptomonas erosa.Redundancy analysis(RDA)showed that hydrodynamic factors(v,h)and water environmental factors(TN,COD_(Mn))were the main influencing factors of phytoplankton community structure.[Conclusion]The result show that the nutrient concentration,phytoplankton biomass,and density in Furong Creek in spring are significantly higher than in autumn.The GAM model,constructed by combining hydrodynamic and environmental factors,can effectively reflect the nonlinear relationship between phytoplankton diversity index and its driving factors.In spring,with an increase in nutrient concentration,the habitat conditions of low flow speed and high water depths formed by overflow weirs will lead to a decrease in the Shannon-Wiener index of phytoplankton and an intensified risk of eutrophication.However,a reasonable layout scheme of cascade weirs will improve the diversity of phytoplankton and reduce the risk of eutrophication in the river.The findings of this study can help deepen the understanding of the ecological and environmental effects of cascade weir construction in the river.展开更多
BACKGROUND Identifying factors that influence non-curative resection(NCR)is critical to optimize treatment strategies and improve patient outcomes in patients with early gastric cancer(EGC).AIM To investigate the fact...BACKGROUND Identifying factors that influence non-curative resection(NCR)is critical to optimize treatment strategies and improve patient outcomes in patients with early gastric cancer(EGC).AIM To investigate the factors influencing the NCR of EGC and to evaluate the predictive value of these factors.METHODS The clinical data of 173 patients with EGC admitted between July 2020 and July 2023 were retrospectively collected.According to radical resection criteria,the patients were further divided into curative resection group(n=143)and NCR group(n=30).Clinical information was collected,including surgical method,tumor diameter,tumor site,ulcer formation,depth of invasion,pathological type,and lymph node metastasis.Logistic regression analysis was used to explore the factors affecting non-curable resection.RESULTS Multivariate logistic regression analysis showed that ulcer formation[odds ratio(OR)=3.53;95%confidence interval(CI):1.55-8.01,P=0.003],pathological type(OR=3.73;95%CI:1.60-8.74,P=0.002),tumor diameter(OR=3.15;95%CI:1.40-7.05,P=0.005),tumor location(OR=3.50;95%CI:1.16-10.58,P=0.027),lymph node metastasis(OR=4.40;95%CI:1.83-10.57,P=0.001),and depth of penetration(OR=3.75;95%CI:1.60-8.74,P=0.002)were all risk factors for NCR in EGC patients.Predictive analysis showed varying area under the curve values for factors such as tumor diameter(0.636),tumor location(0.608),ulcer formation(0.652),infiltration depth(0.658),pathological type(0.656),and lymph node metastasis(0.674).CONCLUSION The results suggest that factors such as tumor diameter,tumor location,ulcer formation,depth of invasion,pathological type,and lymph node metastasis increase the risk of NCR in EGC patients.展开更多
Taking 138 key rural tourism villages in Beijing for example,this paper applied GIS analysis to analyze the spatial distribution characteristics of these villages,selected the influence factors of the villages conside...Taking 138 key rural tourism villages in Beijing for example,this paper applied GIS analysis to analyze the spatial distribution characteristics of these villages,selected the influence factors of the villages considering the classification characteristics,so as to explore the impact of different influence factors on its spatial distribution.The results showed(i)Key rural tourism villages in Beijing manifested an aggregated distribution on the whole,they were unevenly distributed and mostly located in the fringe area of northern mountainous areas and plains,such as Huairou District and Miyun District.Such a“multi-center distribution”pattern was significantly influenced by terrains and natural resources.(ii)Depending on local natural and cultural resources,tourism resources,development characteristics and functional differences,key rural tourism villages in Beijing could be devided into natural scenery type,scenic area-dependent type and agriculture experiencing type.(iii)Key factors influencing the distribution of these villages included mean temperature,annual precipitation,quantity of scenic area,road network density,agricultural land and so on,and the interaction of dual factors exerted more significant impact on single factors.展开更多
The study presents a comprehensive coupled thermo-bio-chemo-hydraulic(T-BCH)modeling framework for stabilizing soils using microbially induced calcite precipitation(MICP).The numerical model considers relevant multiph...The study presents a comprehensive coupled thermo-bio-chemo-hydraulic(T-BCH)modeling framework for stabilizing soils using microbially induced calcite precipitation(MICP).The numerical model considers relevant multiphysics involved in MICP,such as bacterial ureolytic activities,biochemical reactions,multiphase and multicomponent transport,and alteration of the porosity and permeability.The model incorporates multiphysical coupling effects through well-established constitutive relations that connect parameters and variables from different physical fields.It was implemented in the open-source finite element code OpenGeoSys(OGS),and a semi-staggered solution strategy was designed to solve the couplings,allowing for flexible model settings.Therefore,the developed model can be easily adapted to simulate MICP applications in different scenarios.The numerical model was employed to analyze the effect of various factors,including temperature,injection strategies,and application scales.Besides,a TBCH modeling study was conducted on the laboratory-scale domain to analyze the effects of temperature on urease activity and precipitated calcium carbonate.To understand the scale dependency of MICP treatment,a large-scale heterogeneous domain was subjected to variable biochemical injection strategies.The simulations conducted at the field-scale guided the selection of an injection strategy to achieve the desired type and amount of precipitation.Additionally,the study emphasized the potential of numerical models as reliable tools for optimizing future developments in field-scale MICP treatment.The present study demonstrates the potential of this numerical framework for designing and optimizing the MICP applications in laboratory-,prototype-,and field-scale scenarios.展开更多
BACKGROUND Being too light at birth can increase the risk of various diseases during infancy.AIM To explore the effect of perinatal factors on term low-birth-weight(LBW)infants and build a predictive model.This model ...BACKGROUND Being too light at birth can increase the risk of various diseases during infancy.AIM To explore the effect of perinatal factors on term low-birth-weight(LBW)infants and build a predictive model.This model aims to guide the clinical management of pregnant women’s healthcare during pregnancy and support the healthy growth of newborns.METHODS A retrospective analysis was conducted on data from 1794 single full-term pregnant women who gave birth.Newborns were grouped based on birth weight:Those with birth weight<2.5 kg were classified as the low-weight group,and those with birth weight between 2.5 kg and 4 kg were included in the normal group.Multiple logistic regression analysis was used to identify the factors influencing the occurrence of full-term LBW.A risk prediction model was established based on the analysis results.The effectiveness of the model was analyzed using the Hosmer–Leme show test and receiver operating characteristic(ROC)curve to verify the accuracy of the predictions.RESULTS Among the 1794 pregnant women,there were 62 cases of neonatal weight<2.5 kg,resulting in an LBW incidence rate of 3.46%.The factors influencing full-term LBW included low maternal education level[odds ratio(OR)=1.416],fewer prenatal examinations(OR=2.907),insufficient weight gain during pregnancy(OR=3.695),irregular calcium supplementation during pregnancy(OR=1.756),and pregnancy hypertension syndrome(OR=2.192).The prediction model equation was obtained as follows:Logit(P)=0.348×maternal education level+1.067×number of prenatal examinations+1.307×insufficient weight gain during pregnancy+0.563×irregular calcium supplementation during pregnancy+0.785×pregnancy hypertension syndrome−29.164.The area under the ROC curve for this model was 0.853,with a sensitivity of 0.852 and a specificity of 0.821.The Hosmer–Leme show test yieldedχ^(2)=2.185,P=0.449,indicating a good fit.The overall accuracy of the clinical validation model was 81.67%.CONCLUSION The occurrence of full-term LBW is related to maternal education,the number of prenatal examinations,weight gain during pregnancy,calcium supplementation during pregnancy,and pregnancy-induced hypertension.The constructed predictive model can effectively predict the risk of full-term LBW.展开更多
BACKGROUND At present,the influencing factors of social function in patients with residual depressive symptoms are still unclear.Residual depressive symptoms are highly harmful,leading to low mood in patients,affectin...BACKGROUND At present,the influencing factors of social function in patients with residual depressive symptoms are still unclear.Residual depressive symptoms are highly harmful,leading to low mood in patients,affecting work and interpersonal communication,increasing the risk of recurrence,and adding to the burden on families.Studying the influencing factors of their social function is of great significance.AIM To explore the social function score and its influencing factors in patients with residual depressive symptoms.METHODS This observational study surveyed patients with residual depressive symptoms(case group)and healthy patients undergoing physical examinations(control group).Participants were admitted between January 2022 and December 2023.Social functioning was assessed using the Sheehan Disability Scale(SDS),and scores were compared between groups.Factors influencing SDS scores in patients with residual depressive symptoms were analyzed by applying multiple linear regression while using the receiver operating characteristic curve,and these RESULTS The SDS scores of the 158 patients with depressive symptoms were 11.48±3.26.Compared with the control group,the SDS scores and all items in the case group were higher.SDS scores were higher in patients with relapse,discon-tinuous medication,drug therapy alone,severe somatic symptoms,obvious residual symptoms,and anxiety scores≥8.Disease history,medication compliance,therapy method,and residual symptoms correlated positively with SDS scores(r=0.354,0.414,0.602,and 0.456,respectively).Independent influencing factors included disease history,medication compliance,therapy method,somatic symptoms,residual symptoms,and anxiety scores(P<0.05).The areas under the curve for predicting social functional impairment using these factors were 0.713,0.559,0.684,0.729,0.668,and 0.628,respectively,with sensitivities of 79.2%,61.8%,76.8%,81.7%,63.6%,and 65.5%and specificities of 83.3%,87.5%,82.6%,83.3%,86.7%,and 92.1%,respectively.CONCLUSION The social function scores of patients with residual symptoms of depression are high.They are affected by disease history,medication compliance,therapy method,degree of somatic symptoms,residual symptoms,and anxiety.展开更多
The geological hazards of landslides in Hanwang Town, Ziyang County, Ankang City, Shaanxi Province, have emerged. Yet, the current understanding of the spatial distribution characteristics and influencing factors of l...The geological hazards of landslides in Hanwang Town, Ziyang County, Ankang City, Shaanxi Province, have emerged. Yet, the current understanding of the spatial distribution characteristics and influencing factors of landslides in this area remains unclear. Combining the results of remote sensing interpretation and field investigation, seven influencing factors, namely, elevation, slope direction, slope gradient, distance from rivers, distance from faults, engineering geologic lithology, and distance from roads, are selected for the study. The distribution characteristics of landslides in each influencing factor and the influence of the resolution of the Digital Elevation Model(DEM) on the results are statistically and analytically analyzed. Furthermore, two highrisk landslides within the study area were subjected to comprehensive analysis, integrating the findings from drilling and other field investigations in order to examine their deformation mechanisms. Based on this analysis,the following conclusions were derived:(1) 34 landslides in the study area, mainly small earth landslides, with a distribution density of 0.42/km~2, threatening 414 people and property of about 55.87 million Yuan.(2)The landslides in the study area easily occur in the <400 m elevation range;the landslides are developed in all slope directions, the gradient is mainly concentrated in the range of 10°–40°, the distribution density of the landslides is higher in the closer distance from the river and the faults(0–200 m), the landslide-prone strata are mainly the softer and weaker metamorphic rocks, and the landslides are mainly around roads.(3) The resolution of the DEM should be selected based on the specific conditions of the study area, the requirements of the investigation, and the scale of the landslide. Opting for an appropriate DEM resolution is advantageous for understanding the patterns of landslides and conducting risk assessments in the region.(4) The Zhengjiabian landslide is a traction Landslide. The landslide body is a binary structure of gravel soil and slate weathering layer, and the damage process can be divided into three stages:(1)damage to the leading edge and stress release,(2)continuous creep and cracking,(3)rainfall infiltration and damage. The predominant slope material in the Brickyard landslide comprises clay, and the landslide is triggered by a combination of the traction effect resulting from the excavation at the slope's base and the nudging effect caused by the stacking load of the brick factory. Additionally, the Brickyard landslide exhibits persistent creep deformation. The study results provide a scientific basis for disaster prevention and mitigation in the Hanwang Township area.展开更多
Background and Objective: With the popularity and widespread use of mobile phones, the effects of mobile phone dependence and addiction on individuals’ physical and mental health have attracted more and more attentio...Background and Objective: With the popularity and widespread use of mobile phones, the effects of mobile phone dependence and addiction on individuals’ physical and mental health have attracted more and more attention. The present study aims to analyze the current state of mobile phone addiction and its impact on sleep quality within the population, while also exploring the influence of related factors on sleep quality. Ultimately, this research will provide a scientific foundation for targeted intervention measures and strategies. Methods: A total of 253 permanent residents in Nanjing were randomly selected as study subjects. The Mobile Phone Addiction Index (MPAI) and Pittsburgh Sleep Quality Index (PSQI) were used to evaluate the degree of smartphone addiction and sleep quality of the study subjects. Body mass index (BMI) was measured according to standardized procedures. Independent sample t-test, Chi-square test, rank sum test and multiple linear regression were used to analyze the correlation between mobile phone addiction and sleep quality, and P Results: 117 people (46.2%) were addicted to mobile phones. Chi-square test showed that the rate of mobile phone addiction in drinking group was significantly higher than that in non-drinking group (P P P P P P P P P P Conclusion: Mobile phone addiction may lead to shorter sleep duration and reduce sleep efficiency. The withdrawal of mobile phone addiction may have a negative impact on sleep quality. According to the characteristics of the population, appropriate comprehensive intervention measures should be taken to build an effective evaluation system, so as to reduce the impact of mobile phone addiction and withdrawal problems on sleep and improve sleep quality.展开更多
Water use efficiency(WUE),as a pivotal indicator of the coupling degree within the carbon–water cycle of ecosystems,holds considerable importance in assessment of the carbon–water balance within terrestrial ecosyste...Water use efficiency(WUE),as a pivotal indicator of the coupling degree within the carbon–water cycle of ecosystems,holds considerable importance in assessment of the carbon–water balance within terrestrial ecosystems.However,in the context of global warming,WUE evolution and its primary drivers on the Tibetan Plateau remain unclear.This study employed the ensemble empirical mode decomposition method and the random forest algorithm to decipher the nonlinear trends and drivers of WUE on the Tibetan Plateau in 2001–2020.Results indicated an annual mean WUE of 0.8088 gC/mm·m^(2)across the plateau,with a spatial gradient reflecting decrease from the southeast toward the northwest.Areas manifesting monotonous trends of increase or decrease in WUE accounted for 23.64%and 9.69%of the total,respectively.Remarkably,66.67%of the region exhibited trend reversals,i.e.,39.94%of the area of the Tibetan Plateau showed transition from a trend of increase to a trend of decrease,and 26.73%of the area demonstrated a shift from a trend of decrease to a trend of increase.Environmental factors accounted for 70.79%of the variability in WUE.The leaf area index and temperature served as the major driving forces of WUE variation.展开更多
BACKGROUND The development of hepatocellular carcinoma(HCC)is influenced by multiple factors.Interventional therapy offers an effective treatment option for patients with unresectable intermediate-to-advanced HCC.Inte...BACKGROUND The development of hepatocellular carcinoma(HCC)is influenced by multiple factors.Interventional therapy offers an effective treatment option for patients with unresectable intermediate-to-advanced HCC.Interventional therapy can induce electrocardiographic(ECG)abnormalities that may be associated with liver dysfunction,electrolyte disorders,and cardiac injury.AIM To explore the ECG alterations and determinants following interventional therapy in patients with HCC.METHODS Sixty patients undergoing interventional treatment for liver cancer were selected as study participants.According to the results of the dynamic ECG examination 1 day after surgery,the patients were divided into an abnormal group(n=21)and a nonabnormal group(n=39).With the help of dynamic ECG examination,the ECG parameters were compared and the baseline data of patients was recorded in the two groups.RESULTS The 24 hours QT interval variability,24 hours normal atrial polarization to ventricular polarization(R-R)interval(standard deviation),24 hours consecutive 5 minutes normal R-R interval,and 24 hours continuous 5 minutes normal R-R interval(standard deviation mean)were lower than patients in the nonabnormal group(P<0.05).The logistic analysis showed that age>60 years,liver function grade B,and postoperative body temperature 38°C were risk factors for abnormal dynamic electrocardiogram in patients with liver cancer intervention(P<0.05).CONCLUSION Interventional therapy for HCC can lead to ECG abnormalities,underscoring the clinical need for enhanced cardiac monitoring to mitigate myocardial complications.展开更多
This paper thoroughly explores the multifaceted factors influencing the efficacy of Chinese medicinals and categorizes them into three main groups:medicinal related factors,patient related factors,and practitioner rel...This paper thoroughly explores the multifaceted factors influencing the efficacy of Chinese medicinals and categorizes them into three main groups:medicinal related factors,patient related factors,and practitioner related factors.Regarding medicinal related factors,the place of origin,growing environment,harvesting time,storage conditions,quality control,dosage form selection,compatibility of medicinals,precise dosing,decoction methods,and administration routes all significantly impact efficacy.The place of origin determines the authenticity of medicinals,the growing environment affects their composition,harvesting time influences potency,improper storage leads to deterioration,quality control forms the foundation of efficacy,dosage forms and compatibility of medicinals affect absorption,dosing and decoction methods require precision,and administration routes should be tailored to individuals.Patient related factors include psychological state,individual differences,background,and disease condition.Psychological state affects treatment compliance,individual differences determine medicine responses,background influences patients’understanding of Chinese medicinals,and disease condition directly reflects efficacy.Practitioner related factors encompass theoretical knowledge,clinical experience,inherited practices,psychological state,and professional ethics.Theoretical knowledge guides medication use,clinical experience enhances efficacy,inherited practices influence prescribing styles,psychological state affects doctor–patient communication,and professional ethics ensure medical quality.These interrelated factors collectively influence the efficacy of Chinese medicinals,emphasizing the need for comprehensive consideration in clinical applications to achieve optimal therapeutic outcomes.展开更多
Cross-border e-commerce,as a new form of international trade,has shown great development potential in the context of the“Belt and Road”initiative.Based on the cross-border e-commerce export data from 2015 to 2024,th...Cross-border e-commerce,as a new form of international trade,has shown great development potential in the context of the“Belt and Road”initiative.Based on the cross-border e-commerce export data from 2015 to 2024,this paper analyzes the influencing factors of China's cross-border e-commerce exports to countries along the“Belt and Road”by constructing an econometric model.The study found that factors such as the perfection of digital infrastructure,the efficiency of logistics and transportation,the convenience of payment and settlement,and the penetration rate of consumers online shopping significantly affect the export scale of cross-border e-commerce.Institutional factors such as the development level of e-commerce platforms in countries along the route,market access thresholds,and tariff policies also play an important role.Based on the research results,suggestions are put forward to strengthen the construction of cross-border payment system,optimize the logistics distribution network,promote customs clearance facilitation,and deepen cooperation in the field of e-commerce,to provide references for promoting the development of China's crossborder e-commerce exports to countries along the“Belt and Road.”展开更多
Objective:To investigate the health service demands and to analyze influencing factors among elderly people based on a community survey in Guilin,China.Methods:A random sampling was used to investigate 366 elderly peo...Objective:To investigate the health service demands and to analyze influencing factors among elderly people based on a community survey in Guilin,China.Methods:A random sampling was used to investigate 366 elderly people in a community using a Health-Care-Needs questionnaire,which was designed by The Western Nursing Alliance research team in China.This survey was used to understand the basic situation,financial condition,health condition,self-care abilities,pension plan,and care services demands of the elderly residing at home.Additionally,this article analyzed the influencing factors contributing to the obtained results.Results:The top 3 nursing needs were security needs(1.61±0.45 points),health education needs(1.54±0.57 points),and respect and self-development needs(1.13±0.64 points).Logistic multifactor regression analysis showed that gender,monthly income,lack of exercise,activities of daily living(ADL)scores,methods of medical payment,and pension plan were independent factors affecting elderly nursing needs.Conclusions:The home-based health services supply for elders did not meet their needs.Therefore,a comprehensive approach considering multifactors such as gender,income,exercise,self-care ability,medical expense payments,and supporting preferences should be considered to address the complex needs of health care.展开更多
Adolescence is a crucial period marked by significant developmental changes,during which risk-taking behaviors can be both a normative part of development and a potential source of concern.However,prior research has f...Adolescence is a crucial period marked by significant developmental changes,during which risk-taking behaviors can be both a normative part of development and a potential source of concern.However,prior research has focused predominantly on the adverse aspects of risk-taking(i.e.,negative risk-taking),overlooked the positive counterpart(i.e.,positive risk-taking),and lacked a detailed examination of both.This study aims to elucidate the distinct characteristics and interrelationships of positive and negative risk-taking behaviors among adoles-cents and to identify the key factors that influence these behaviors.Through a comprehensive synthesis of theoretical and empirical literature,we explore the multifaceted nature of risk-taking,highlighting its complex influencing factors,including individual traits,family dynamics,peer influence,school environment,and broader community contexts.By identifying the shared and unique factors contributing to positive and negative risk-taking behaviors,we can enable adolescents to navigate this complex stage of life and design targeted interventions.Future research directions include the application of person-centered approaches,the implementation of longitudinal tracking and the interactive effects of influencing factors,among other aspects.展开更多
Recrystallization stands as an essential process that influences the microstructure and properties of magnesium(Mg)alloys,yet its mechanisms remain complex and multifaceted.This review explores the key factors affecti...Recrystallization stands as an essential process that influences the microstructure and properties of magnesium(Mg)alloys,yet its mechanisms remain complex and multifaceted.This review explores the key factors affecting the recrystallization behavior of Mg alloys,emphasizing how their unique structural characteristics impact the driving forces and dynamics of recrystallization.Unlike conventional alloys,Mg alloys exhibit distinctive recrystallization kinetics,which is significantly affected by deformation conditions,such as strain rate,temperature,and processing methods(e.g.,rolling,forging,and extrusion).The process is also influenced by material characteristics,including initial grain size,texture,dislocation density,solute clustering,and stacking fault energy.Additionally,uneven strain distribution,stress concentrations,and stored energy play crucial roles in shaping the formation of recrystallized grains,particularly near grain boundaries.Notably,recrystallization is driven by dislocation accumulation and the availability of slip systems,with new strain-free grains typically forming in regions of high dislocation density.This paper synthesizes the existing literature to provide a comprehensive understanding of the mechanisms and kinetics of recrystallization in Mg alloys,highlighting the influence of microstructural features such as second-phase particles and grain boundary characteristics.It also identifies key challenges and suggests promising directions for future research,including optimizing material compositions and the interaction between deformation conditions via machine learning.展开更多
Objectives:To assess job satisfaction among anesthesia graduates working in various medical institutions across China.Methods:A cross-sectional survey was conducted,collecting demographic information,Minnesota Satisfa...Objectives:To assess job satisfaction among anesthesia graduates working in various medical institutions across China.Methods:A cross-sectional survey was conducted,collecting demographic information,Minnesota Satisfaction Questionnaire scores,work pressure,and turnover intentions.Multiple linear regression analysis was used to examine factors influencing job satisfaction.The electronic survey was distributed to Chinese anesthesia graduates from December 2021 to January 2022.Results:A total of 595 questionnaires were distributed,with 318 valid responses,resulting in a response rate of 53.4%.The participants’overall job satisfaction score on the Minnesota Satisfaction Questionnaire was 75.85±12.57.Multiple linear regression analysis identified the following variables as significantly associated with job satisfaction:age,daily working hours,income,current position,and work pressure.Conclusions:Anesthesia graduates in China reported slightly higher-than-average overall job satisfaction.However,several issues remain.Attention should be given to the impact of factors such as youth,long working hours,low income,current position,and high work pressure on job satisfaction.The government should support anesthesiologists with improved training,job security,and benefits to enhance job satisfaction.展开更多
BACKGROUND Newborns are immediately admitted to the neonatal intensive care unit(NICU)after birth,and thus mothers suffer from the pain of mother-infant separation.Some mothers worry about alterations in their child’...BACKGROUND Newborns are immediately admitted to the neonatal intensive care unit(NICU)after birth,and thus mothers suffer from the pain of mother-infant separation.Some mothers worry about alterations in their child’s condition and the uncertainty and high medical costs of possible sequelae,which frequently cause anxiety,depression,and other adverse emotions.AIM To investigate the anxiety and depression status of mothers of children in the NICU and its related factors.METHODS A convenient sampling method is adopted.The research objects included the mothers of 191 children in the NICU of Suzhou Ninth Hospital Affiliated with Suzhou University from January 2023 to July 2024.The general information questionnaire,personal control scale,self-rating anxiety scale,and self-rating depression scale were utilized for investigation.Anxiety and depression status in mothers of children in the NICU and its related factors were analyzed.RESULTS The incidences of maternal anxiety and depression among 191 hospitalized children in the NICU were 32.98%(63/191)and 23.56%(45/191),respectively.Single-factor analysis reveals that family monthly income,individual sense of control,gestational age of the child,and the number of diseases in the child are associated with the anxiety and depression experienced by the mother of the child in the NICU(P<0.05).Multivariate logistic regression analysis revealed that family monthly income of<5000 yuan(RMB),poor individual control,gestational age of<32 weeks,and the number of diseases of≥3 kinds are all related factors for anxiety and depression in mothers of children admitted to the NICU(P<0.05).CONCLUSION Mothers of children admitted to the NICU demonstrated high anxiety and depression incidences.The nursing staff in the neonatal department established intervention measures for each related factor,strengthened communication and communication with the mother of the child,and did a good job in psychological counseling.展开更多
Objective:This study aimed to investigate the prevalence and determinants of metabolic syndrome(MetS)among the population in Gannan(Southern Jiangxi),and to develop a nomogram for MetS prediction.Methods:In 2022,a mul...Objective:This study aimed to investigate the prevalence and determinants of metabolic syndrome(MetS)among the population in Gannan(Southern Jiangxi),and to develop a nomogram for MetS prediction.Methods:In 2022,a multi-stage stratified random sampling method was used to select permanent residents aged 35 years and above in southern Jiangxi as study participants.MetS was defined according to the International Diabetes Federation(IDF)criteria.Participants'demographics,medical history,blood biochemistry data,and anthropometric variables were collected to screen for significant variables for the prediction model of MetS.Multivariable logistic regression was employed to explore the factors associated with MetS.Subsequently,the data were divided into a training set and a validation set,and a nomogram was developed to create the predictive model for MetS.The training set was utilized for nomogram model construction and preliminary validation,while the validation set was used for internal validation.The performance of the nomogram was assessed based on receiver operating characteristic curve(ROC),calibration curves,and decision curve analysis(DCA).Results:A total of 1581 participants were enrolled in the study,revealing a prevalence of MetS of 27.39%(95%CI:25.19%-29.59%).The age-standardized prevalence was calculated to be 27.81%.Nine variables were identified as influencing factors for MetS:age,residence,occupation,history of hyperlipidemia,history of hyperuricemia,hip circumference,glycated hemoglobin A1c(HbA1c),resting heart rate(RHR),and body mass index(BMI).The participants were randomly divided into a training set(n=1107,70%)and a validation set(n=474,30%).The nomogram was validated through preliminary validation area under curve(AUC:0.844)and internal validation(AUC:0.825).Calibration plots demonstrated good agreement in the training sets.Conclusion:The prevalence of MetS is notably high in Ganzhou,Jiangxi.The nomogram,which is based on age,residence,occupation,history of hyperlipidemia,history of hyperuricemia,hip circumference,HbA1c,RHR and BMI variables,exhibits strong predictive efficacy and can be utilized to assess the risk of MetS in middle-aged and elderly populations.展开更多
BACKGROUND China has recently encountered severe challenges associated with population aging.Parents of first-generation only children face significant challenges regarding elderly care needs and the associated negati...BACKGROUND China has recently encountered severe challenges associated with population aging.Parents of first-generation only children face significant challenges regarding elderly care needs and the associated negative emotions.AIM To analyze the elderly care needs of first-generation only child parents in China and identify factors that influence negative emotions.METHODS This study used a cross-sectional design.Convenience sampling was used to select 1580 elderly individuals who met the inclusion criteria in a Chinese city between June and September 2022.A questionnaire was administered to collect general information about participants.Depression and anxiety were assessed using the patient health questionnaire-9 and generalized anxiety disorder-7 scale,respectively.A logistic regression analysis was performed to evaluate the relevant correlations.RESULTS Among 1580 first-generation only child parents,1120(70.89%)preferred family based care,324(20.51%)opted for community care,and 136(8.61%)chose institutional care,with 460(29.11%)reporting negative emotions.Significant differences in the distribution of negative emotions among only child parents were observed based on age,marital status,living conditions,disability,type of chronic disease,frailty status,and family support(P<0.05).The regression analysis indicated that disability,type of chronic disease,living environment,frailty status,and level of family support were independent risk factors for negative emotions among parents with only children(P<0.05).CONCLUSION Elderly care for parents of only children is primarily family-based.Independent risk factors for negative emotions in this group include disability,chronic disease type,and living environment.展开更多
BACKGROUND Glaucoma,a condition frequently linked to severe depression,anxiety,and sleep disturbances,affects treatment adherence while potentially compromising effectiveness.AIM To explore illness uncertainty(IU),anx...BACKGROUND Glaucoma,a condition frequently linked to severe depression,anxiety,and sleep disturbances,affects treatment adherence while potentially compromising effectiveness.AIM To explore illness uncertainty(IU),anxiety,and depressive symptoms in primary glaucoma and to discuss underlying triggers.METHODS We recruited 120 primary glaucoma cases between January 2022 and November 2023.The Mishel Uncertainty in Illness Scale(MUIS)and the Hospital Anxiety and Depression Scale(HADS)[include HADS-anxiety subscale(HADS-A)and HADS-depression subscale(HADS-D)]subscales,were used to assess IU and emotional distress(anxiety/depression),respectively.The MUIS-HADS subscale interrelationships were determined by Pearson correlation.IU-associated determinants were identified using univariate and binary logistic regression analyses.RESULTS The cohort showed a mean MUIS score of 79.73±8.97,corresponding to a moderately high IU level.The HADS-A and HADS-D scores averaged 6.57±3.89 and 7.08±5.05 points,respectively,with 15.00%of participants showing anxiety symptoms and 24.17%exhibiting depressive signs.Significant positive connections were observed between MUIS and both HADS-A(r=0.359,P<0.001)and HADSD(r=0.426,P<0.001).Univariate analysis revealed that disease duration,insomnia,monthly household income per capita,and the presence of comorbid chronic conditions were significantly associated with anxiety or depression.Multivariate analysis identified insomnia as a risk factor and higher monthly household income as a protective factor.CONCLUSION Patients with primary glaucoma experience moderate IU levels,generally low anxiety,and mild depression.Specifically,the anxiety and depression risks were 15.00%and 24.17%,respectively.A significant positive correlation existed between IU and anxiety/depression in these patients.Additionally,insomnia or lower monthly household income elevated anxiety/depression risks,enabling reliable anxiety/depression risk categorization among patients.展开更多
文摘[Objective]The construction of weirs changes the hydraulic characteristics of rivers and affects the structure of phytoplankton communities and the health of aquatic ecosystems in the river.This study aims to explore the nonlinear response relationship between phytoplankton community structure and its driving factors in spring and autumn in Furong Creek under the construction of cascade weirs.[Methods]The structure of phytoplankton communities and related environmental factors were investigated in Furong Creek from 2023 to 2024.This study focused on the analysis of the changes of nutrient concentrations and biomass of phytoplankton in autumn and spring within the same dry season in Furong Creek.Redundancy analysis was used to identify the key factors influencing the structure of phytoplankton communities.The MIKE 11 model was employed to simulate the hydrodynamic changes in the river.Combined with total nitrogen and permanganate index,a GAM model of phytoplankton diversity index and hydrodynamic factors was developed,and the change of phytoplankton diversity after the optimized layout of the cascade weirs was fitted.[Results]The result showed that the annual average value of Shannon-Wiener diversity index of phytoplankton in Furong Creek was 2.79,which was in a state of mild pollution.A total of 239 species from 95 genera in 8 phyla were identified.Among the phytoplankton,Chlorophyta was the dominant group throughout the year in Furong Creek,followed by Bacillariophyta and Cyanophyta.The cell abundance of phytoplankton ranged from 3.11 to 20.64 mg/L and from 0.23 to 6.31 mg/L in spring and autumn,which indicated a clear seasonal succession of phytoplankton community structure.Compared with autumn,the relative abundance of Cyanophyta significantly decreased in spring across the whole river section,while Chrysophyta and Dinophyta showed significant increase at some monitoring sites,leading to water bloom phenomenon and a noticeable decline in the diversity of phytoplankton.The dominant species in the water bodies throughout the year were Cyclotella catenata,Chlorella vulgaris,Scenedesmus bijuga,Scenedesmus quadricauda,Chroomonas acuta,Cryptomonas ovata,and Cryptomonas erosa.Redundancy analysis(RDA)showed that hydrodynamic factors(v,h)and water environmental factors(TN,COD_(Mn))were the main influencing factors of phytoplankton community structure.[Conclusion]The result show that the nutrient concentration,phytoplankton biomass,and density in Furong Creek in spring are significantly higher than in autumn.The GAM model,constructed by combining hydrodynamic and environmental factors,can effectively reflect the nonlinear relationship between phytoplankton diversity index and its driving factors.In spring,with an increase in nutrient concentration,the habitat conditions of low flow speed and high water depths formed by overflow weirs will lead to a decrease in the Shannon-Wiener index of phytoplankton and an intensified risk of eutrophication.However,a reasonable layout scheme of cascade weirs will improve the diversity of phytoplankton and reduce the risk of eutrophication in the river.The findings of this study can help deepen the understanding of the ecological and environmental effects of cascade weir construction in the river.
文摘BACKGROUND Identifying factors that influence non-curative resection(NCR)is critical to optimize treatment strategies and improve patient outcomes in patients with early gastric cancer(EGC).AIM To investigate the factors influencing the NCR of EGC and to evaluate the predictive value of these factors.METHODS The clinical data of 173 patients with EGC admitted between July 2020 and July 2023 were retrospectively collected.According to radical resection criteria,the patients were further divided into curative resection group(n=143)and NCR group(n=30).Clinical information was collected,including surgical method,tumor diameter,tumor site,ulcer formation,depth of invasion,pathological type,and lymph node metastasis.Logistic regression analysis was used to explore the factors affecting non-curable resection.RESULTS Multivariate logistic regression analysis showed that ulcer formation[odds ratio(OR)=3.53;95%confidence interval(CI):1.55-8.01,P=0.003],pathological type(OR=3.73;95%CI:1.60-8.74,P=0.002),tumor diameter(OR=3.15;95%CI:1.40-7.05,P=0.005),tumor location(OR=3.50;95%CI:1.16-10.58,P=0.027),lymph node metastasis(OR=4.40;95%CI:1.83-10.57,P=0.001),and depth of penetration(OR=3.75;95%CI:1.60-8.74,P=0.002)were all risk factors for NCR in EGC patients.Predictive analysis showed varying area under the curve values for factors such as tumor diameter(0.636),tumor location(0.608),ulcer formation(0.652),infiltration depth(0.658),pathological type(0.656),and lymph node metastasis(0.674).CONCLUSION The results suggest that factors such as tumor diameter,tumor location,ulcer formation,depth of invasion,pathological type,and lymph node metastasis increase the risk of NCR in EGC patients.
文摘Taking 138 key rural tourism villages in Beijing for example,this paper applied GIS analysis to analyze the spatial distribution characteristics of these villages,selected the influence factors of the villages considering the classification characteristics,so as to explore the impact of different influence factors on its spatial distribution.The results showed(i)Key rural tourism villages in Beijing manifested an aggregated distribution on the whole,they were unevenly distributed and mostly located in the fringe area of northern mountainous areas and plains,such as Huairou District and Miyun District.Such a“multi-center distribution”pattern was significantly influenced by terrains and natural resources.(ii)Depending on local natural and cultural resources,tourism resources,development characteristics and functional differences,key rural tourism villages in Beijing could be devided into natural scenery type,scenic area-dependent type and agriculture experiencing type.(iii)Key factors influencing the distribution of these villages included mean temperature,annual precipitation,quantity of scenic area,road network density,agricultural land and so on,and the interaction of dual factors exerted more significant impact on single factors.
基金support from the OpenGeoSys communitypartially funded by the Prime Minister Research Fellowship,Ministry of Education,Government of India with the project number SB21221901CEPMRF008347.
文摘The study presents a comprehensive coupled thermo-bio-chemo-hydraulic(T-BCH)modeling framework for stabilizing soils using microbially induced calcite precipitation(MICP).The numerical model considers relevant multiphysics involved in MICP,such as bacterial ureolytic activities,biochemical reactions,multiphase and multicomponent transport,and alteration of the porosity and permeability.The model incorporates multiphysical coupling effects through well-established constitutive relations that connect parameters and variables from different physical fields.It was implemented in the open-source finite element code OpenGeoSys(OGS),and a semi-staggered solution strategy was designed to solve the couplings,allowing for flexible model settings.Therefore,the developed model can be easily adapted to simulate MICP applications in different scenarios.The numerical model was employed to analyze the effect of various factors,including temperature,injection strategies,and application scales.Besides,a TBCH modeling study was conducted on the laboratory-scale domain to analyze the effects of temperature on urease activity and precipitated calcium carbonate.To understand the scale dependency of MICP treatment,a large-scale heterogeneous domain was subjected to variable biochemical injection strategies.The simulations conducted at the field-scale guided the selection of an injection strategy to achieve the desired type and amount of precipitation.Additionally,the study emphasized the potential of numerical models as reliable tools for optimizing future developments in field-scale MICP treatment.The present study demonstrates the potential of this numerical framework for designing and optimizing the MICP applications in laboratory-,prototype-,and field-scale scenarios.
文摘BACKGROUND Being too light at birth can increase the risk of various diseases during infancy.AIM To explore the effect of perinatal factors on term low-birth-weight(LBW)infants and build a predictive model.This model aims to guide the clinical management of pregnant women’s healthcare during pregnancy and support the healthy growth of newborns.METHODS A retrospective analysis was conducted on data from 1794 single full-term pregnant women who gave birth.Newborns were grouped based on birth weight:Those with birth weight<2.5 kg were classified as the low-weight group,and those with birth weight between 2.5 kg and 4 kg were included in the normal group.Multiple logistic regression analysis was used to identify the factors influencing the occurrence of full-term LBW.A risk prediction model was established based on the analysis results.The effectiveness of the model was analyzed using the Hosmer–Leme show test and receiver operating characteristic(ROC)curve to verify the accuracy of the predictions.RESULTS Among the 1794 pregnant women,there were 62 cases of neonatal weight<2.5 kg,resulting in an LBW incidence rate of 3.46%.The factors influencing full-term LBW included low maternal education level[odds ratio(OR)=1.416],fewer prenatal examinations(OR=2.907),insufficient weight gain during pregnancy(OR=3.695),irregular calcium supplementation during pregnancy(OR=1.756),and pregnancy hypertension syndrome(OR=2.192).The prediction model equation was obtained as follows:Logit(P)=0.348×maternal education level+1.067×number of prenatal examinations+1.307×insufficient weight gain during pregnancy+0.563×irregular calcium supplementation during pregnancy+0.785×pregnancy hypertension syndrome−29.164.The area under the ROC curve for this model was 0.853,with a sensitivity of 0.852 and a specificity of 0.821.The Hosmer–Leme show test yieldedχ^(2)=2.185,P=0.449,indicating a good fit.The overall accuracy of the clinical validation model was 81.67%.CONCLUSION The occurrence of full-term LBW is related to maternal education,the number of prenatal examinations,weight gain during pregnancy,calcium supplementation during pregnancy,and pregnancy-induced hypertension.The constructed predictive model can effectively predict the risk of full-term LBW.
文摘BACKGROUND At present,the influencing factors of social function in patients with residual depressive symptoms are still unclear.Residual depressive symptoms are highly harmful,leading to low mood in patients,affecting work and interpersonal communication,increasing the risk of recurrence,and adding to the burden on families.Studying the influencing factors of their social function is of great significance.AIM To explore the social function score and its influencing factors in patients with residual depressive symptoms.METHODS This observational study surveyed patients with residual depressive symptoms(case group)and healthy patients undergoing physical examinations(control group).Participants were admitted between January 2022 and December 2023.Social functioning was assessed using the Sheehan Disability Scale(SDS),and scores were compared between groups.Factors influencing SDS scores in patients with residual depressive symptoms were analyzed by applying multiple linear regression while using the receiver operating characteristic curve,and these RESULTS The SDS scores of the 158 patients with depressive symptoms were 11.48±3.26.Compared with the control group,the SDS scores and all items in the case group were higher.SDS scores were higher in patients with relapse,discon-tinuous medication,drug therapy alone,severe somatic symptoms,obvious residual symptoms,and anxiety scores≥8.Disease history,medication compliance,therapy method,and residual symptoms correlated positively with SDS scores(r=0.354,0.414,0.602,and 0.456,respectively).Independent influencing factors included disease history,medication compliance,therapy method,somatic symptoms,residual symptoms,and anxiety scores(P<0.05).The areas under the curve for predicting social functional impairment using these factors were 0.713,0.559,0.684,0.729,0.668,and 0.628,respectively,with sensitivities of 79.2%,61.8%,76.8%,81.7%,63.6%,and 65.5%and specificities of 83.3%,87.5%,82.6%,83.3%,86.7%,and 92.1%,respectively.CONCLUSION The social function scores of patients with residual symptoms of depression are high.They are affected by disease history,medication compliance,therapy method,degree of somatic symptoms,residual symptoms,and anxiety.
基金financially supported by the National Key Research and Development Program of China(2022YFC3003400)National Natural Science Foundation of China(No. 41402254)Department of Science and Technology of Shaanxi Province(No. 2019ZDLSF07-0701, 2022SF-445)。
文摘The geological hazards of landslides in Hanwang Town, Ziyang County, Ankang City, Shaanxi Province, have emerged. Yet, the current understanding of the spatial distribution characteristics and influencing factors of landslides in this area remains unclear. Combining the results of remote sensing interpretation and field investigation, seven influencing factors, namely, elevation, slope direction, slope gradient, distance from rivers, distance from faults, engineering geologic lithology, and distance from roads, are selected for the study. The distribution characteristics of landslides in each influencing factor and the influence of the resolution of the Digital Elevation Model(DEM) on the results are statistically and analytically analyzed. Furthermore, two highrisk landslides within the study area were subjected to comprehensive analysis, integrating the findings from drilling and other field investigations in order to examine their deformation mechanisms. Based on this analysis,the following conclusions were derived:(1) 34 landslides in the study area, mainly small earth landslides, with a distribution density of 0.42/km~2, threatening 414 people and property of about 55.87 million Yuan.(2)The landslides in the study area easily occur in the <400 m elevation range;the landslides are developed in all slope directions, the gradient is mainly concentrated in the range of 10°–40°, the distribution density of the landslides is higher in the closer distance from the river and the faults(0–200 m), the landslide-prone strata are mainly the softer and weaker metamorphic rocks, and the landslides are mainly around roads.(3) The resolution of the DEM should be selected based on the specific conditions of the study area, the requirements of the investigation, and the scale of the landslide. Opting for an appropriate DEM resolution is advantageous for understanding the patterns of landslides and conducting risk assessments in the region.(4) The Zhengjiabian landslide is a traction Landslide. The landslide body is a binary structure of gravel soil and slate weathering layer, and the damage process can be divided into three stages:(1)damage to the leading edge and stress release,(2)continuous creep and cracking,(3)rainfall infiltration and damage. The predominant slope material in the Brickyard landslide comprises clay, and the landslide is triggered by a combination of the traction effect resulting from the excavation at the slope's base and the nudging effect caused by the stacking load of the brick factory. Additionally, the Brickyard landslide exhibits persistent creep deformation. The study results provide a scientific basis for disaster prevention and mitigation in the Hanwang Township area.
文摘Background and Objective: With the popularity and widespread use of mobile phones, the effects of mobile phone dependence and addiction on individuals’ physical and mental health have attracted more and more attention. The present study aims to analyze the current state of mobile phone addiction and its impact on sleep quality within the population, while also exploring the influence of related factors on sleep quality. Ultimately, this research will provide a scientific foundation for targeted intervention measures and strategies. Methods: A total of 253 permanent residents in Nanjing were randomly selected as study subjects. The Mobile Phone Addiction Index (MPAI) and Pittsburgh Sleep Quality Index (PSQI) were used to evaluate the degree of smartphone addiction and sleep quality of the study subjects. Body mass index (BMI) was measured according to standardized procedures. Independent sample t-test, Chi-square test, rank sum test and multiple linear regression were used to analyze the correlation between mobile phone addiction and sleep quality, and P Results: 117 people (46.2%) were addicted to mobile phones. Chi-square test showed that the rate of mobile phone addiction in drinking group was significantly higher than that in non-drinking group (P P P P P P P P P P Conclusion: Mobile phone addiction may lead to shorter sleep duration and reduce sleep efficiency. The withdrawal of mobile phone addiction may have a negative impact on sleep quality. According to the characteristics of the population, appropriate comprehensive intervention measures should be taken to build an effective evaluation system, so as to reduce the impact of mobile phone addiction and withdrawal problems on sleep and improve sleep quality.
基金National Nonprofit Institute Research Grant of CAF,No.CAFYBB2018ZA004,No.CAFYBB2023ZA009Fengyun Application Pioneering Project,No.FY-APP-ZX-2023.02。
文摘Water use efficiency(WUE),as a pivotal indicator of the coupling degree within the carbon–water cycle of ecosystems,holds considerable importance in assessment of the carbon–water balance within terrestrial ecosystems.However,in the context of global warming,WUE evolution and its primary drivers on the Tibetan Plateau remain unclear.This study employed the ensemble empirical mode decomposition method and the random forest algorithm to decipher the nonlinear trends and drivers of WUE on the Tibetan Plateau in 2001–2020.Results indicated an annual mean WUE of 0.8088 gC/mm·m^(2)across the plateau,with a spatial gradient reflecting decrease from the southeast toward the northwest.Areas manifesting monotonous trends of increase or decrease in WUE accounted for 23.64%and 9.69%of the total,respectively.Remarkably,66.67%of the region exhibited trend reversals,i.e.,39.94%of the area of the Tibetan Plateau showed transition from a trend of increase to a trend of decrease,and 26.73%of the area demonstrated a shift from a trend of decrease to a trend of increase.Environmental factors accounted for 70.79%of the variability in WUE.The leaf area index and temperature served as the major driving forces of WUE variation.
文摘BACKGROUND The development of hepatocellular carcinoma(HCC)is influenced by multiple factors.Interventional therapy offers an effective treatment option for patients with unresectable intermediate-to-advanced HCC.Interventional therapy can induce electrocardiographic(ECG)abnormalities that may be associated with liver dysfunction,electrolyte disorders,and cardiac injury.AIM To explore the ECG alterations and determinants following interventional therapy in patients with HCC.METHODS Sixty patients undergoing interventional treatment for liver cancer were selected as study participants.According to the results of the dynamic ECG examination 1 day after surgery,the patients were divided into an abnormal group(n=21)and a nonabnormal group(n=39).With the help of dynamic ECG examination,the ECG parameters were compared and the baseline data of patients was recorded in the two groups.RESULTS The 24 hours QT interval variability,24 hours normal atrial polarization to ventricular polarization(R-R)interval(standard deviation),24 hours consecutive 5 minutes normal R-R interval,and 24 hours continuous 5 minutes normal R-R interval(standard deviation mean)were lower than patients in the nonabnormal group(P<0.05).The logistic analysis showed that age>60 years,liver function grade B,and postoperative body temperature 38°C were risk factors for abnormal dynamic electrocardiogram in patients with liver cancer intervention(P<0.05).CONCLUSION Interventional therapy for HCC can lead to ECG abnormalities,underscoring the clinical need for enhanced cardiac monitoring to mitigate myocardial complications.
文摘This paper thoroughly explores the multifaceted factors influencing the efficacy of Chinese medicinals and categorizes them into three main groups:medicinal related factors,patient related factors,and practitioner related factors.Regarding medicinal related factors,the place of origin,growing environment,harvesting time,storage conditions,quality control,dosage form selection,compatibility of medicinals,precise dosing,decoction methods,and administration routes all significantly impact efficacy.The place of origin determines the authenticity of medicinals,the growing environment affects their composition,harvesting time influences potency,improper storage leads to deterioration,quality control forms the foundation of efficacy,dosage forms and compatibility of medicinals affect absorption,dosing and decoction methods require precision,and administration routes should be tailored to individuals.Patient related factors include psychological state,individual differences,background,and disease condition.Psychological state affects treatment compliance,individual differences determine medicine responses,background influences patients’understanding of Chinese medicinals,and disease condition directly reflects efficacy.Practitioner related factors encompass theoretical knowledge,clinical experience,inherited practices,psychological state,and professional ethics.Theoretical knowledge guides medication use,clinical experience enhances efficacy,inherited practices influence prescribing styles,psychological state affects doctor–patient communication,and professional ethics ensure medical quality.These interrelated factors collectively influence the efficacy of Chinese medicinals,emphasizing the need for comprehensive consideration in clinical applications to achieve optimal therapeutic outcomes.
文摘Cross-border e-commerce,as a new form of international trade,has shown great development potential in the context of the“Belt and Road”initiative.Based on the cross-border e-commerce export data from 2015 to 2024,this paper analyzes the influencing factors of China's cross-border e-commerce exports to countries along the“Belt and Road”by constructing an econometric model.The study found that factors such as the perfection of digital infrastructure,the efficiency of logistics and transportation,the convenience of payment and settlement,and the penetration rate of consumers online shopping significantly affect the export scale of cross-border e-commerce.Institutional factors such as the development level of e-commerce platforms in countries along the route,market access thresholds,and tariff policies also play an important role.Based on the research results,suggestions are put forward to strengthen the construction of cross-border payment system,optimize the logistics distribution network,promote customs clearance facilitation,and deepen cooperation in the field of e-commerce,to provide references for promoting the development of China's crossborder e-commerce exports to countries along the“Belt and Road.”
基金supported by The Scientific Research Project of Guangxi Health and Family Planning Commission Foundation of China(No.Z20180913)。
文摘Objective:To investigate the health service demands and to analyze influencing factors among elderly people based on a community survey in Guilin,China.Methods:A random sampling was used to investigate 366 elderly people in a community using a Health-Care-Needs questionnaire,which was designed by The Western Nursing Alliance research team in China.This survey was used to understand the basic situation,financial condition,health condition,self-care abilities,pension plan,and care services demands of the elderly residing at home.Additionally,this article analyzed the influencing factors contributing to the obtained results.Results:The top 3 nursing needs were security needs(1.61±0.45 points),health education needs(1.54±0.57 points),and respect and self-development needs(1.13±0.64 points).Logistic multifactor regression analysis showed that gender,monthly income,lack of exercise,activities of daily living(ADL)scores,methods of medical payment,and pension plan were independent factors affecting elderly nursing needs.Conclusions:The home-based health services supply for elders did not meet their needs.Therefore,a comprehensive approach considering multifactors such as gender,income,exercise,self-care ability,medical expense payments,and supporting preferences should be considered to address the complex needs of health care.
基金Soft Science Special Project of Gansu Basic Research Plan,No.25JRZA072Youth Project of Philosophy and Social Science Foundation of Gansu Province,No.2024QN015+1 种基金General Project of Philosophy and Social Science Foundation of Gansu Province,No.2024YB049Lanzhou Philosophy and Social Science Planning Project,No.24-B13.
文摘Adolescence is a crucial period marked by significant developmental changes,during which risk-taking behaviors can be both a normative part of development and a potential source of concern.However,prior research has focused predominantly on the adverse aspects of risk-taking(i.e.,negative risk-taking),overlooked the positive counterpart(i.e.,positive risk-taking),and lacked a detailed examination of both.This study aims to elucidate the distinct characteristics and interrelationships of positive and negative risk-taking behaviors among adoles-cents and to identify the key factors that influence these behaviors.Through a comprehensive synthesis of theoretical and empirical literature,we explore the multifaceted nature of risk-taking,highlighting its complex influencing factors,including individual traits,family dynamics,peer influence,school environment,and broader community contexts.By identifying the shared and unique factors contributing to positive and negative risk-taking behaviors,we can enable adolescents to navigate this complex stage of life and design targeted interventions.Future research directions include the application of person-centered approaches,the implementation of longitudinal tracking and the interactive effects of influencing factors,among other aspects.
基金funding by the National Natural Science Foundation of China(Grant number U22A20187)(Grant No.52271147,No.52471175)China Postdoctoral Science Foundation(grant number 2024M751172)。
文摘Recrystallization stands as an essential process that influences the microstructure and properties of magnesium(Mg)alloys,yet its mechanisms remain complex and multifaceted.This review explores the key factors affecting the recrystallization behavior of Mg alloys,emphasizing how their unique structural characteristics impact the driving forces and dynamics of recrystallization.Unlike conventional alloys,Mg alloys exhibit distinctive recrystallization kinetics,which is significantly affected by deformation conditions,such as strain rate,temperature,and processing methods(e.g.,rolling,forging,and extrusion).The process is also influenced by material characteristics,including initial grain size,texture,dislocation density,solute clustering,and stacking fault energy.Additionally,uneven strain distribution,stress concentrations,and stored energy play crucial roles in shaping the formation of recrystallized grains,particularly near grain boundaries.Notably,recrystallization is driven by dislocation accumulation and the availability of slip systems,with new strain-free grains typically forming in regions of high dislocation density.This paper synthesizes the existing literature to provide a comprehensive understanding of the mechanisms and kinetics of recrystallization in Mg alloys,highlighting the influence of microstructural features such as second-phase particles and grain boundary characteristics.It also identifies key challenges and suggests promising directions for future research,including optimizing material compositions and the interaction between deformation conditions via machine learning.
基金supported by the Basic Medical Research Foundation of Naval Medical University(2022SK029 and 2023QN035).
文摘Objectives:To assess job satisfaction among anesthesia graduates working in various medical institutions across China.Methods:A cross-sectional survey was conducted,collecting demographic information,Minnesota Satisfaction Questionnaire scores,work pressure,and turnover intentions.Multiple linear regression analysis was used to examine factors influencing job satisfaction.The electronic survey was distributed to Chinese anesthesia graduates from December 2021 to January 2022.Results:A total of 595 questionnaires were distributed,with 318 valid responses,resulting in a response rate of 53.4%.The participants’overall job satisfaction score on the Minnesota Satisfaction Questionnaire was 75.85±12.57.Multiple linear regression analysis identified the following variables as significantly associated with job satisfaction:age,daily working hours,income,current position,and work pressure.Conclusions:Anesthesia graduates in China reported slightly higher-than-average overall job satisfaction.However,several issues remain.Attention should be given to the impact of factors such as youth,long working hours,low income,current position,and high work pressure on job satisfaction.The government should support anesthesiologists with improved training,job security,and benefits to enhance job satisfaction.
文摘BACKGROUND Newborns are immediately admitted to the neonatal intensive care unit(NICU)after birth,and thus mothers suffer from the pain of mother-infant separation.Some mothers worry about alterations in their child’s condition and the uncertainty and high medical costs of possible sequelae,which frequently cause anxiety,depression,and other adverse emotions.AIM To investigate the anxiety and depression status of mothers of children in the NICU and its related factors.METHODS A convenient sampling method is adopted.The research objects included the mothers of 191 children in the NICU of Suzhou Ninth Hospital Affiliated with Suzhou University from January 2023 to July 2024.The general information questionnaire,personal control scale,self-rating anxiety scale,and self-rating depression scale were utilized for investigation.Anxiety and depression status in mothers of children in the NICU and its related factors were analyzed.RESULTS The incidences of maternal anxiety and depression among 191 hospitalized children in the NICU were 32.98%(63/191)and 23.56%(45/191),respectively.Single-factor analysis reveals that family monthly income,individual sense of control,gestational age of the child,and the number of diseases in the child are associated with the anxiety and depression experienced by the mother of the child in the NICU(P<0.05).Multivariate logistic regression analysis revealed that family monthly income of<5000 yuan(RMB),poor individual control,gestational age of<32 weeks,and the number of diseases of≥3 kinds are all related factors for anxiety and depression in mothers of children admitted to the NICU(P<0.05).CONCLUSION Mothers of children admitted to the NICU demonstrated high anxiety and depression incidences.The nursing staff in the neonatal department established intervention measures for each related factor,strengthened communication and communication with the mother of the child,and did a good job in psychological counseling.
文摘Objective:This study aimed to investigate the prevalence and determinants of metabolic syndrome(MetS)among the population in Gannan(Southern Jiangxi),and to develop a nomogram for MetS prediction.Methods:In 2022,a multi-stage stratified random sampling method was used to select permanent residents aged 35 years and above in southern Jiangxi as study participants.MetS was defined according to the International Diabetes Federation(IDF)criteria.Participants'demographics,medical history,blood biochemistry data,and anthropometric variables were collected to screen for significant variables for the prediction model of MetS.Multivariable logistic regression was employed to explore the factors associated with MetS.Subsequently,the data were divided into a training set and a validation set,and a nomogram was developed to create the predictive model for MetS.The training set was utilized for nomogram model construction and preliminary validation,while the validation set was used for internal validation.The performance of the nomogram was assessed based on receiver operating characteristic curve(ROC),calibration curves,and decision curve analysis(DCA).Results:A total of 1581 participants were enrolled in the study,revealing a prevalence of MetS of 27.39%(95%CI:25.19%-29.59%).The age-standardized prevalence was calculated to be 27.81%.Nine variables were identified as influencing factors for MetS:age,residence,occupation,history of hyperlipidemia,history of hyperuricemia,hip circumference,glycated hemoglobin A1c(HbA1c),resting heart rate(RHR),and body mass index(BMI).The participants were randomly divided into a training set(n=1107,70%)and a validation set(n=474,30%).The nomogram was validated through preliminary validation area under curve(AUC:0.844)and internal validation(AUC:0.825).Calibration plots demonstrated good agreement in the training sets.Conclusion:The prevalence of MetS is notably high in Ganzhou,Jiangxi.The nomogram,which is based on age,residence,occupation,history of hyperlipidemia,history of hyperuricemia,hip circumference,HbA1c,RHR and BMI variables,exhibits strong predictive efficacy and can be utilized to assess the risk of MetS in middle-aged and elderly populations.
基金Supported by General Projects of Henan Province Universities Humanities and Social Sciences Research in 2023,No.2023-ZDJH-533.
文摘BACKGROUND China has recently encountered severe challenges associated with population aging.Parents of first-generation only children face significant challenges regarding elderly care needs and the associated negative emotions.AIM To analyze the elderly care needs of first-generation only child parents in China and identify factors that influence negative emotions.METHODS This study used a cross-sectional design.Convenience sampling was used to select 1580 elderly individuals who met the inclusion criteria in a Chinese city between June and September 2022.A questionnaire was administered to collect general information about participants.Depression and anxiety were assessed using the patient health questionnaire-9 and generalized anxiety disorder-7 scale,respectively.A logistic regression analysis was performed to evaluate the relevant correlations.RESULTS Among 1580 first-generation only child parents,1120(70.89%)preferred family based care,324(20.51%)opted for community care,and 136(8.61%)chose institutional care,with 460(29.11%)reporting negative emotions.Significant differences in the distribution of negative emotions among only child parents were observed based on age,marital status,living conditions,disability,type of chronic disease,frailty status,and family support(P<0.05).The regression analysis indicated that disability,type of chronic disease,living environment,frailty status,and level of family support were independent risk factors for negative emotions among parents with only children(P<0.05).CONCLUSION Elderly care for parents of only children is primarily family-based.Independent risk factors for negative emotions in this group include disability,chronic disease type,and living environment.
文摘BACKGROUND Glaucoma,a condition frequently linked to severe depression,anxiety,and sleep disturbances,affects treatment adherence while potentially compromising effectiveness.AIM To explore illness uncertainty(IU),anxiety,and depressive symptoms in primary glaucoma and to discuss underlying triggers.METHODS We recruited 120 primary glaucoma cases between January 2022 and November 2023.The Mishel Uncertainty in Illness Scale(MUIS)and the Hospital Anxiety and Depression Scale(HADS)[include HADS-anxiety subscale(HADS-A)and HADS-depression subscale(HADS-D)]subscales,were used to assess IU and emotional distress(anxiety/depression),respectively.The MUIS-HADS subscale interrelationships were determined by Pearson correlation.IU-associated determinants were identified using univariate and binary logistic regression analyses.RESULTS The cohort showed a mean MUIS score of 79.73±8.97,corresponding to a moderately high IU level.The HADS-A and HADS-D scores averaged 6.57±3.89 and 7.08±5.05 points,respectively,with 15.00%of participants showing anxiety symptoms and 24.17%exhibiting depressive signs.Significant positive connections were observed between MUIS and both HADS-A(r=0.359,P<0.001)and HADSD(r=0.426,P<0.001).Univariate analysis revealed that disease duration,insomnia,monthly household income per capita,and the presence of comorbid chronic conditions were significantly associated with anxiety or depression.Multivariate analysis identified insomnia as a risk factor and higher monthly household income as a protective factor.CONCLUSION Patients with primary glaucoma experience moderate IU levels,generally low anxiety,and mild depression.Specifically,the anxiety and depression risks were 15.00%and 24.17%,respectively.A significant positive correlation existed between IU and anxiety/depression in these patients.Additionally,insomnia or lower monthly household income elevated anxiety/depression risks,enabling reliable anxiety/depression risk categorization among patients.
