Schistosomal appendicitis(SA)is a rare but serious complication of schistosomiasis,a parasitic disease affecting over 250 million people worldwide.A recent retrospective study by Wang et al provides important insights...Schistosomal appendicitis(SA)is a rare but serious complication of schistosomiasis,a parasitic disease affecting over 250 million people worldwide.A recent retrospective study by Wang et al provides important insights into the clinicopathological characteristics of SA.The study compared 136 cases of SA to 5418 cases of non-SA over a ten-year period.Key findings include a higher average age of SA patients(61.73 years vs 35.8 years for non-SA),a higher proportion of acute on chronic appendicitis(33.1%vs 16%),and a significantly higher incidence of colorectal cancer(11.7%vs 2.2%).Despite these differences,SA remains a diagnostic challenge due to its nonspecific clinical presentation and lack of specific laboratory findings.The study also highlights the persistent prevalence of SA,accounting for 1.6%-3.4%of all appendicitis cases each year from 2013 to 2023.These findings underscore the need for enhanced awareness,early detection,and prompt treatment of SA in endemic regions.Given the association with colorectal cancer,patients with SA require thorough screening and follow-up.Further research into the pathogenesis and diagnostic markers of SA is warranted.As the global battle against schistosomiasis continues,targeted efforts to diagnose and manage SA can significantly improve patient outcomes.展开更多
BACKGROUND Severe dengue children with critical complications have been attributed to high mortality rates,varying from approximately 1%to over 20%.To date,there is a lack of data on machine-learning-based algorithms ...BACKGROUND Severe dengue children with critical complications have been attributed to high mortality rates,varying from approximately 1%to over 20%.To date,there is a lack of data on machine-learning-based algorithms for predicting the risk of inhospital mortality in children with dengue shock syndrome(DSS).AIM To develop machine-learning models to estimate the risk of death in hospitalized children with DSS.METHODS This single-center retrospective study was conducted at tertiary Children’s Hospital No.2 in Viet Nam,between 2013 and 2022.The primary outcome was the in-hospital mortality rate in children with DSS admitted to the pediatric intensive care unit(PICU).Nine significant features were predetermined for further analysis using machine learning models.An oversampling method was used to enhance the model performance.Supervised models,including logistic regression,Naïve Bayes,Random Forest(RF),K-nearest neighbors,Decision Tree and Extreme Gradient Boosting(XGBoost),were employed to develop predictive models.The Shapley Additive Explanation was used to determine the degree of contribution of the features.RESULTS In total,1278 PICU-admitted children with complete data were included in the analysis.The median patient age was 8.1 years(interquartile range:5.4-10.7).Thirty-nine patients(3%)died.The RF and XGboost models demonstrated the highest performance.The Shapley Addictive Explanations model revealed that the most important predictive features included younger age,female patients,presence of underlying diseases,severe transaminitis,severe bleeding,low platelet counts requiring platelet transfusion,elevated levels of international normalized ratio,blood lactate and serum creatinine,large volume of resuscitation fluid and a high vasoactive inotropic score(>30).CONCLUSION We developed robust machine learning-based models to estimate the risk of death in hospitalized children with DSS.The study findings are applicable to the design of management schemes to enhance survival outcomes of patients with DSS.展开更多
To achieve carbon dioxide(CO_(2))storage through enhanced oil recovery,accurate forecasting of CO_(2) subsurface storage and cumulative oil production is essential.This study develops hybrid predictive models for the ...To achieve carbon dioxide(CO_(2))storage through enhanced oil recovery,accurate forecasting of CO_(2) subsurface storage and cumulative oil production is essential.This study develops hybrid predictive models for the determination of CO_(2) storage mass and cumulative oil production in unconventional reservoirs.It does so with two multi-layer perceptron neural networks(MLPNN)and a least-squares support vector machine(LSSVM),hybridized with grey wolf optimization(GWO)and/or particle swarm optimization(PSO).Large,simulated datasets were divided into training(70%)and testing(30%)groups,with normalization applied to both groups.Mahalanobis distance identifies/eliminates outliers in the training subset only.A non-dominated sorting genetic algorithm(NSGA-II)combined with LSSVM selected seven influential features from the nine available input parameters:reservoir depth,porosity,permeability,thickness,bottom-hole pressure,area,CO_(2) injection rate,residual oil saturation to gas flooding,and residual oil saturation to water flooding.Predictive models were developed and tested,with performance evaluated with an overfitting index(OFI),scoring analysis,and partial dependence plots(PDP),during training and independent testing to enhance model focus and effectiveness.The LSSVM-GWO model generated the lowest root mean square error(RMSE)values(0.4052 MMT for CO_(2) storage and 9.7392 MMbbl for cumulative oil production)in the training group.That trained model also exhibited excellent generalization and minimal overfitting when applied to the testing group(RMSE of 0.6224 MMT for CO_(2) storage and 12.5143 MMbbl for cumulative oil production).PDP analysis revealed that the input features“area”and“porosity”had the most influence on the LSSVM-GWO model's pre-diction performance.This paper presents a new hybrid modeling approach that achieves accurate forecasting of CO_(2) subsurface storage and cumulative oil production.It also establishes a new standard for such forecasting,which can lead to the development of more effective and sustainable solutions for oil recovery.展开更多
Original sedimentary manganese(Mn)deposits and supergene Mn ores are important Mn resources in China.However,the geochemical information from Chinese supergene Mn ores is scarce,and the relationship between sedimentar...Original sedimentary manganese(Mn)deposits and supergene Mn ores are important Mn resources in China.However,the geochemical information from Chinese supergene Mn ores is scarce,and the relationship between sedimentary Mn deposits and supergene Mn ores is ambiguous.In this study,we collected the original Mn-bearing dolomitic sandstones(ZK20-3 drillcore)and supergene Mn ores(Longmen Section)from eastern Hebei,North China for systematic petrographic,mineralogical and geochemical analyses.Our new data help us to figure out the transformation from original Mn-bearing deposits to supergene ores.The main minerals of original Mn-bearing dolomitic sandstones are quartz and feldspar,with minor muscovite,dolomite,rhodochrosite,ankerite,and kutnohorite.Supergene Mn-oxide ores only emerged in the middle part of the Longmen(LM)Section,and mainly contain quartz,pyrolusite,cryptomelane,todorokite and occasional dolomite.The possible transformation sequence of Mn minerals is:kutnohorite/rhodochrosite→pyrolusite(Ⅰ)→cryptomelane(todorokite)→todorokite(cryptomelane)→pyrolusite(Ⅱ).For Mn-oxide ores,Fe,Na and Si are enriched but Al,Ca,Mg and K are depleted with the enrichment of Mn.For original and supergene ores,the total rare earth element+ytterbium(∑REY)contents range from 105.68×10^(-6)to 250.56×10^(-6)and from 18.08×10^(-6)to 176.60×10^(-6),respectively.Original Mn ores have similar slightly LREE-enriched patterns,but the purer Mn-oxide ore shows a HREE-enriched pattern.In the middle part of the LM Section,positive Ce anomalies in Mn-oxide ores indicate the precipitation of Ce-bearing minerals.It implies the existence of geochemical barriers,which changed p H and Eh values due to the long-time influence of groundwater.展开更多
BACKGROUND The impact of psychiatric disorder,especially depression,on the prognosis of sarcopenic patients is gaining prominence.Yet,there have been very few studies focusing on this issue,let alone the related targe...BACKGROUND The impact of psychiatric disorder,especially depression,on the prognosis of sarcopenic patients is gaining prominence.Yet,there have been very few studies focusing on this issue,let alone the related targeted mental health prevention.This cohort-based nested case-control study is geared to compare risk of depression and the depression-related ambulatory care utilization for sarcopenia persons with and without receiving add-on Chinese herbal medicines(CHMs)treatment.AIM To compare risk of depression and the depression-related ambulatory care utili-zation for sarcopenia persons with and without receiving add-on CHMs treat-ment.METHODS In the beginning,we recruited those aged 20-70 years with newly diagnosed sarcopenia and free of depression between 2002 and 2010 from a nationwide insurance database.From them,we identified cases with depression onset occurring after sarcopenia until December 31,2013.To cautiously isolate the effect of CHMs,we established the matched sets of treated and untreated subjects with CHMs use by randomly frequency matching.A conditional logistic regression was executed to explore the association of CHMs to depression risk,and the frequency and costs of depression-related ambulatory care were compared using Mann-Whitney U test.RESULTS Addition of CHMs to routine care of sarcopenia notably correlated with a lower risk of depression.A remarkable effect of CHMs in reducing depression was detected when sarcopenia subjects received CHMs for more than three years,lowering depression risk by as much as 65%.As compared to CHMs users,the non-CHMs users indeed incurred higher frequency and costs of depression-related ambulatory care after depression attack(P<0.05).Notably,the costs for per depression-related ambulatory care profoundly increased with the years after depression attack.CONCLUSION Sarcopenic patients can greatly benefit from add-on CHMs treatment,underscoring the urgent need for interdisciplinary collaboration and proactive treatment planning.展开更多
Recently,the gut microbiota has been identified as a significant risk factor associated with metabolic disorders related to obesity.Advances in high-throu-ghput sequencing technology have clarified the relationship be...Recently,the gut microbiota has been identified as a significant risk factor associated with metabolic disorders related to obesity.Advances in high-throu-ghput sequencing technology have clarified the relationship between childhood obesity and changes in the gut microbiota.This commentary focuses on analyzing the study by Li et al,which utilized 16S rRNA molecular markers to compare differences in gut microbiota between obese and normal-weight children.Additionally,the review by Pan et al is referenced to supplement perspectives and evaluate the findings of this study.We also analyze the strengths and limitations of the original study and suggest potential research directions to elucidate the complex relationship between gut microbiota and childhood obesity,thereby providing a scientific basis for developing effective prevention and treatment strategies.展开更多
Testicular tumor is the most common solid malignancy in males under 40 years of age.This malignancy is known to have a negative impact on male fertility.Therefore,several techniques for sperm retrieval have been propo...Testicular tumor is the most common solid malignancy in males under 40 years of age.This malignancy is known to have a negative impact on male fertility.Therefore,several techniques for sperm retrieval have been proposed,including microdissection testicular sperm extraction(mTESE).The objective of this study was to review the literature on the outcomes of oncological(Onco)-mTESE at the time of radical orchiectomy.We conducted a comprehensive literature search through PubMed,Scopus,and Cochrane Central Controlled Register of Trials.Only studies reporting ex vivo mTESE in patients with testicular tumor were considered.Twelve papers met the inclusion criteria and were included in this review.Tumor size was identified as the sole preoperative factor influencing spermatogenesis.The considered studies demonstrated a satisfactory success rate for Onco-mTESE,associated with a similarly valid percentage of live healthy births through assisted reproductive technology.Currently,no comparison has been made between Onco-mTESE and conventional Onco-TESE,hence further assessment is required.In cases where the tumor completely replaces the cancer-bearing testicle,a contralateral micro-TESE may be a viable alternative.However,the surgeon should evaluate associated risks and benefits preoperatively.In conclusion,Onco-mTESE at the time of radical orchiectomy appears to be a promising therapeutic option for young patients with testicular tumors.Nevertheless,additional studies are necessary to achieve a definitive conclusion.展开更多
In recent years,torrential rain events caused by extratropical cyclones(ETCs)during the boreal midsummer(July-August)in Central and Eastern China have shown an increasing trend.For instence,in August 2024,two ETCs bro...In recent years,torrential rain events caused by extratropical cyclones(ETCs)during the boreal midsummer(July-August)in Central and Eastern China have shown an increasing trend.For instence,in August 2024,two ETCs brought large-scale heavy rainfall to North China,with daily precipitation exceeding 100 mm.Using reanalysis datasets and gridded precipitation data,the ETCs that affected Central and Eastern China during the boreal midsummer from 1981 to 2020 were objectively identified and tracked.ETCs causing precipitation were classified based on maximum daily precipitation,resulting in datasets for ETCs with torrential rain(daily precipitation exceeding 100 mm,referred to as ETC_R100)and heavy rain(daily precipitation exceeding 25 mm,referred to as ETC_R25).Comparative analysis can help highlight the characteristics of ETC_R100.This study compares the spatial distribution,movement paths,weather impacts,large-scale atmospheric circulation,and environmental conditions of these two types of precipitation-related ETCs.The following findings emerged:(1)ETC_R100 is driven by the combined forcing of upper-level troughs and warm-moist airflows at lower levels,exhibiting stronger thermal forcing than ETC_R25.(2)The moisture source for ETC_R100 are the Bay of Bengal and the Northwest Pacific,with moisture transported via the South China Sea.Compared to ETCs with nonextreme rainfall,ETC_R100 is characterized by greater atmospheric instability and better moisture conditions,resulting in higher precipitation intensity.(3)Regardless of the precipitation level,ETCs affected different regions but contributed significantly to precipitation in northern China,accounting for approximately 50%of the total precipitation.The results indicate that ETC_R100 differs significantly from ETCs with varying levels of precipitation in terms of statistical characteristics,weather impact,environmental conditions,and cyclogenesis conditions.展开更多
The synergistic reduction of wastewater greenhouse gases(GHGs)and pollutants presents a critical environmental challenge.Understanding the synergistic efficiency and the factors that influence it is crucial for inform...The synergistic reduction of wastewater greenhouse gases(GHGs)and pollutants presents a critical environmental challenge.Understanding the synergistic efficiency and the factors that influence it is crucial for informed policy-making,but methods for assessing this efficiency are currently lacking.This study evaluates the synergistic efficiency in China from 2009 to 2019 using the elastic coefficient method,and assesses strict water policy impacts using double machine learning(DML).Results indicate that before 2015,China experiences synergistic increases,which shift to non-synergistic following the implementation of a strict water policy in 2015.Despite improved wastewater treatment rates,this policy paradoxically increases GHG emission intensity,leading to a“water-carbon”contradiction,especially in water-scarce,poorly enforced,and underdeveloped regions.The policy effect on GHG emission intensity is most influenced by wastewater pipeline infrastructure,followed by socioeconomic development,technological innovation,and industrial structure.Inefficiencies in GHG emission reductions are due to expanded wastewater treatment facilities and lower industrial energy efficiency.Conversely,higher salaries and technological advancements facilitate emission reductions.To achieve the synergy of effluent pollution and GHG reduction in the wastewater sector,provincial control priorities into four patterns are explored.This study provides guidance for low-carbon retrofitting of existing wastewater treatment plants and informs the design of effective water policies.展开更多
Fish scaleδ^(15)N(δ^(15)N_(sca))records trophic information of the whole life history for marine fishes.Data from gut content and values calculated from white muscle tissue(WMT)are insufficient for assessing trophic...Fish scaleδ^(15)N(δ^(15)N_(sca))records trophic information of the whole life history for marine fishes.Data from gut content and values calculated from white muscle tissue(WMT)are insufficient for assessing trophic level(TL)of marine fishes as they only provide the information of several months or even several days.Stable isotope analysis(SIA)of nitrogen was carried out in fish scales and WMT of 16 species from a total of 28 individuals captured from the Yellow Sea and northern East China Sea in October and November of 2019,aiming at discovering the correlation betweenδ^(15)N_(sca) and fish WMTδ^(15)N(δ^(15)NWMT),so as to useδ^(15)N_(sca) for the characterization of TLs of marine fish.Scales were analyzed without prior carbonate dissolution as a pre-processing step.TL calculated fromδ^(15)N_(sca) was compared to traditional TL formula calculated withδ^(15)N_(WMT) to estimate the accuracy.We found that there was a highly significant and positive correlation(r=0.830,P<0.001)betweenδ^(15)N_(sca) andδ^(15)N_(WMT).TL calculation results using fish scale(TL_(sca))and WMT(TL_(WMT))showed congruence(r=0.773,P<0.001),and the regression coefficient betweenδ^(15)N_(sca) andδ^(15)NWMT was used for calculating TLsca.The conversion was conducted for the purpose of comparison with previousδ^(15)N_(WMT)-based calculation results of TL.TLsca calculation results were 81.25%within the TL range of±10%calculated withδ^(15)NWMT.The findings in the present study showed thatδ^(15)N_(sca) is a viable technique for the characterization of the TL of marine fish and can help to predict food web and support the study of marine ecosystem.展开更多
Highlights●CRISPR/Cas9 RNP complex-based strategy demonstrates robustness and accuracy in generating gene-edited sheep.●Sheep horn development remains unaffected by partial RXFP2 knockout.●Partial RXFP2 knockout re...Highlights●CRISPR/Cas9 RNP complex-based strategy demonstrates robustness and accuracy in generating gene-edited sheep.●Sheep horn development remains unaffected by partial RXFP2 knockout.●Partial RXFP2 knockout results in unilateral cryptorchidism in sheep.展开更多
Generally speaking,the precursors of ozone(O_(3)),nitrogen oxides and volatile organic compounds are very low in desert areas due to the lack of anthropogenic emissions and natural emissions,and thus O_(3)concentratio...Generally speaking,the precursors of ozone(O_(3)),nitrogen oxides and volatile organic compounds are very low in desert areas due to the lack of anthropogenic emissions and natural emissions,and thus O_(3)concentrations are relatively low.However,high summer background concentrations of about 100μg/m^(3)or 60 ppb were found in the Alxa Desert in the highland of northwest China based on continuous summer observations from 2019 to 2021,which was higher than the most of natural background areas or clean areas in world for summer O_(3)background concentrations.The high O_(3)background concentrations were related to surface features and altitude.Heavy-intensity anthropogenic activity areas in desert areas can cause increased O_(3)concentrations or pollution,but also generated O_(3)depleting substances such as nitrous oxide,which eventually reduced the regional O_(3)baseline values.Nitrogen dioxide(NO2)also had a dual effect on O_(3)generation,showing promotion at low concentrations and inhibition at high concentrations.In addition,sand-dust weather reduced O_(3)clearly,but O_(3)eventually stabilized around the background concentration values and did not vary with sand-dust particulate matter.展开更多
The increased frequency and intensity of heavy rainfall events due to climate change could potentially influence the movement of nutrients from land-based regions into recipient rivers.However,little information is av...The increased frequency and intensity of heavy rainfall events due to climate change could potentially influence the movement of nutrients from land-based regions into recipient rivers.However,little information is available on how the rainfall affect nutrient dynamics in subtropicalmontane rivers with complex land use.This study conducted high-frequency monitoring to study the effects of rainfall on nutrients dynamics in an agricultural river draining to Lake Qiandaohu,a montane reservoir of southeast China.The results showed that riverine total nitrogen(TN)and total phosphorus(TP)concentrations increased continuously with increasing rainfall intensity,while TN:TP decreased.The heavy rainfall and rainstorm drove more than 30%of the annual N and P loading in only 5.20%of the total rainfall period,indicating that increased storm runoff is likely to exacerbate eutrophication in montane reservoirs.NO_(3)^(−)-N is the primary nitrogen form lost,while particulate phosphorus(PP)dominated phosphorus loss.Themain source of N is cropland,and themain source of P is residential area.Spatially,forestedwatersheds have better drainage quality,while it is still a potential source of nonpoint pollution during rainfall events.TN and TP concentrations were significantly higher at sites dominated by cropland and residential area,indicating their substantial contributions to deteriorating river water quality.Temporally,TN and TP concentrations reached high values in May-August when rainfall was most intense,while they were lower in autumn and winter than that in spring and summer under the same rainfall intensities.The results emphasize the influence of rainfall-runoff and land use on dynamics of riverine N and P loads,providing guidance for nutrient load reduction planning for Lake Qiandaohu.展开更多
This study examines the stability of three-dimensional rectangular tunnel headings in drained c-ϕ soils,incor-porating surcharge effects using 3D Finite Element Limit Analysis(FELA).It focuses on the upper and lower b...This study examines the stability of three-dimensional rectangular tunnel headings in drained c-ϕ soils,incor-porating surcharge effects using 3D Finite Element Limit Analysis(FELA).It focuses on the upper and lower bound solutions for three stability factors:cohesion,surcharge,and soil unit weight(Nc,Ns,and Nγ).Based on Terzaghi’s principle of superposition,the analysis evaluates tunnel stability under varying parameters,such as cover-depth ratio(H/D),width-depth ratio(B/D),and friction angle(ϕ).The results align closely with previous studies,and practical design charts are provided for calculating minimum support pressures.Additionally,machine learning models(ANN and XGBoost)are used to develop accurate correlations between input param-eters and stability results.A relative importance index analysis is conducted to assess the impact of these pa-rameters.This research enhances understanding of tunnel stability and offers practical insights for tunnel design.展开更多
This study investigates pedestrian safety perception in Ho Chi Minh City under mixed traffic conditions by evaluating comfort,crash risk,and injury risk perceptions in two scenarios:walking along and crossing multilan...This study investigates pedestrian safety perception in Ho Chi Minh City under mixed traffic conditions by evaluating comfort,crash risk,and injury risk perceptions in two scenarios:walking along and crossing multilane roads.Using visual experiments with 510 participants,the study identifies how sidewalk quality,obstructions,crossing infrastructure,and traffic conditions shape pedestrian experiences.Statistical modeling reveals that protected sidewalks and comprehensive crossing features significantly enhance perceived safety and comfort.Findings emphasize the need for improved pedestrian infrastructure and traffic calming in dense urban settings to support safer,more inclusive mobility under mixed traffic conditions like Vietnam.展开更多
BACKGROUND Antibiotic resistance significantly impacts the treatment failure rates of Helicobacter pylori(H.pylori)infections.AIM To investigate the trends in primary antibiotic resistance of H.pylori in Taiwan of Chi...BACKGROUND Antibiotic resistance significantly impacts the treatment failure rates of Helicobacter pylori(H.pylori)infections.AIM To investigate the trends in primary antibiotic resistance of H.pylori in Taiwan of China over the past six years.METHODS We conducted a retrospective analysis of H.pylori isolates from Taiwan residents,China who had not undergone previous treatments(n=1408),collected between January 1,2019 and December 31,2024.Susceptibility of these strains to amoxicillin,clarithromycin,levofloxacin,metronidazole,and tetracycline was tested using the Epsilometer test.We analyzed the trends in single and dual resistance profiles over the study period,and compared antibiotic resistance across different regions(northern,southern and eastern areas)of Taiwan of China.RESULTS The overall resistance rates for H.pylori to amoxicillin,clarithromycin,metronidazole,tetracycline,and levofloxacin in Taiwan of China were 1.3%,18.0%,31.0%,0.8%,and 28.7%,respectively.Tetracycline resistance increased significantly from 0%in 2019 to 3.5%in 2024(P value inχ^(2)test for linear trend:<0.001),while metronidazole resistance declined from 35.5%to 13.0%(P value inχ^(2)test for linear trend:<0.001).No significant changes of amoxicillin,clarithromycin and levofloxacin resistances were observed.The dual resistances to clarithromycin plus tetracycline,and metronidazole plus tetracycline both increased significantly from 0%to 1.7%from 2019 to 2024(P value inχ^(2)test for linear trend:<0.05).Furthermore,no significant regional differences in resistance frequencies except for levofloxacin were detected.CONCLUSION Primary antibiotic resistance to tetracycline in H.pylori has increased in Taiwan of China from 2019 to 2024,while resistance to metronidazole has decreased during the same period.The dual resistance to clarithromycin plus tetracycline and metronidazole plus tetracycline both increased significantly.展开更多
Objective:To estimate the willingness to pay(WTP)of Ho Chi Minh City residents for the hand,foot,and mouth disease(HFMD)vaccine and its associated factors using the contingent valuation method.Methods:This cross-secti...Objective:To estimate the willingness to pay(WTP)of Ho Chi Minh City residents for the hand,foot,and mouth disease(HFMD)vaccine and its associated factors using the contingent valuation method.Methods:This cross-sectional study was conducted in 2024,involved face-to-face interviews with 423 participants in Ho Chi Minh City.The participants were divided into two groups:parents of children under six and individuals without young children.WTP for the HFMD vaccine was assessed using the Krinsky and Robb procedure and the double-bound dichotomous choice technique.A probit regression model was used to analyze factors influencing WTP.Results:The participants had a mean age of(34.0±10.3)years,and the majority of them were female,resided in urban areas,and held a university degree.54.6%had children under six years of age,and 63.8%had never heard of the EV71 vaccine.The mean WTP for two doses of the HFMD vaccine was VND 1240000(USD 51.66).Parents of children under six years old had a mean WTP of USD 49.16,while individuals without young children had a mean WTP of USD 56.25.Significant factors that were positively associated with WTP included vaccine price,younger age,higher income,and greater knowledge about vaccines.Conclusions:The study indicates a relatively high willingness to pay for HFMD vaccination in Ho Chi Minh City,suggesting strong potential for vaccine implementation.It is recommended that the government disseminate vaccine-related information to enhance public awareness and understanding.展开更多
The study of carbon-enhanced metal-poor (CEMP) stars is of great significance for understanding the chemical evolution of the early universe and stellar formation.CEMP stars are characterized by carbon overabundance a...The study of carbon-enhanced metal-poor (CEMP) stars is of great significance for understanding the chemical evolution of the early universe and stellar formation.CEMP stars are characterized by carbon overabundance and are classified into several subclasses based on the abundance patterns of neutron-capture elements,including CEMP-s,CEMP-no,CEMP-r,and CEMP-r/s.These subclasses provide important insights into the formation of thefirst stars,early stellar nucleosynthesis,and supernova explosions.However,one of the major challenges in CEMP star research is the relatively small sample size of identified stars,which limits statistical analyses and hinders a comprehensive understanding of their properties.Fortunately,a series of large-scale spectroscopic survey projects have been launched and developed in recent years,providing unprecedented opportunities and technical challenges for the search and study of CEMP stars.To this end,this paper draws on the progress and future prospects of existing methods in constructing large CEMP data sets and offers an in-depth discussion from a technical standpoint,focusing on the strengths and limitations.In addition,we review recent advancements in the identification of CEMP stars,emphasizing the growing role of machine learning in processing and analyzing the increasingly large data sets generated by modern astronomical surveys.Compared to traditional spectral analysis methods,machine learning offers greater efficiency in handling complex data,automatic extraction of stellar parameters,and improved prediction accuracy.Despite these advancements,the research faces persistent challenges,including the scarcity of labeled samples,limitations imposed by low-resolution spectra,and the lack of interpretability in machine learning models.To address these issues,the paper proposes potential solutions and future research directions aimed at advancing the study of CEMP stars and enhancing our understanding of their role in the chemical evolution of the universe.展开更多
BACKGROUND Some non-insulin-based insulin resistance(IR)indices have been found to be associated with metabolic syndrome(MetS);however,few cohort studies have compared the capacities of these indices for predicting in...BACKGROUND Some non-insulin-based insulin resistance(IR)indices have been found to be associated with metabolic syndrome(MetS);however,few cohort studies have compared the capacities of these indices for predicting incident MetS in young adults.AIM To investigate the associations of various non-insulin-based IR(NI-IR)indices with new-onset MetS in young military personnel.METHODS A total of 2890 armed forces personnel in Taiwan who were aged 18-39 years and did not have MetS at baseline were followed to monitor the incidence of new-onset MetS from 2014 to the end of 2020.Six NI-IR indices,including the metabolic score for IR(METS-IR),triglyceride(TG)-to-high-density lipoprotein cholesterol(HDL-C)ratio,TG glucose(TyG)index,Zhejiang University(ZJU)index,total cholesterol(TC)-to-HDL-C ratio,and alanine transaminase(ALT)-to-aspartate transaminase(AST)ratio,were defined according to specific criteria.Incident MetS was identified on the basis of each annual health examination using the International Diabetes Federation criteria.Multiple Cox regression analyses were conducted,adjusting for age,sex,waist circumference,smoking status,alcohol consumption status,and physical activity,to assess the associations of the NI-IR indices with incident MetS.The area under the receiver operating characteristic curve(AUROC)was used to compare the capacities of these NI-IR indices for predicting new-onset MetS.RESULTS During a median follow-up of 5.8 years,there were 673 patients with new-onset MetS(23%).All six of the NI-IR indices were significantly and positively associated with incident MetS.In the entire cohort,the greatest AUROC was found for the METS-IR[0.782;95%confidence interval(CI):0.762-0.801;all P values compared to the other NIIR indices<0.05],followed by the TG/HDL-C ratio(0.752;95%CI:0.731-0.772),ZJU index(0.743;95%CI:0.722-0.764),TyG index(0.734;95%CI:0.713-0.756),TC/HDL-C ratio(0.731;95%CI:0.709-0.752),and then the ALT/AST ratio(0.734;95%CI:0.713-0.756).CONCLUSION This study suggests that almost all the NI-IR indices are associated with the development of MetS in military young adults.The METS-IR is the strongest predictor of new-onset MetS before midlife.展开更多
BACKGROUND The prevalence of non-alcoholic fatty liver(NAFLD)has increased recently.Subjects with NAFLD are known to have higher chance for renal function impairment.Many past studies used traditional multiple linear ...BACKGROUND The prevalence of non-alcoholic fatty liver(NAFLD)has increased recently.Subjects with NAFLD are known to have higher chance for renal function impairment.Many past studies used traditional multiple linear regression(MLR)to identify risk factors for decreased estimated glomerular filtration rate(eGFR).However,medical research is increasingly relying on emerging machine learning(Mach-L)methods.The present study enrolled healthy women to identify factors affecting eGFR in subjects with and without NAFLD(NAFLD+,NAFLD-)and to rank their importance.AIM To uses three different Mach-L methods to identify key impact factors for eGFR in healthy women with and without NAFLD.METHODS A total of 65535 healthy female study participants were enrolled from the Taiwan MJ cohort,accounting for 32 independent variables including demographic,biochemistry and lifestyle parameters(independent variables),while eGFR was used as the dependent variable.Aside from MLR,three Mach-L methods were applied,including stochastic gradient boosting,eXtreme gradient boosting and elastic net.Errors of estimation were used to define method accuracy,where smaller degree of error indicated better model performance.RESULTS Income,albumin,eGFR,High density lipoprotein-Cholesterol,phosphorus,forced expiratory volume in one second(FEV1),and sleep time were all lower in the NAFLD+group,while other factors were all significantly higher except for smoking area.Mach-L had lower estimation errors,thus outperforming MLR.In Model 1,age,uric acid(UA),FEV1,plasma calcium level(Ca),plasma albumin level(Alb)and T-bilirubin were the most important factors in the NAFLD+group,as opposed to age,UA,FEV1,Alb,lactic dehydrogenase(LDH)and Ca for the NAFLD-group.Given the importance percentage was much higher than the 2nd important factor,we built Model 2 by removing age.CONCLUSION The eGFR were lower in the NAFLD+group compared to the NAFLD-group,with age being was the most important impact factor in both groups of healthy Chinese women,followed by LDH,UA,FEV1 and Alb.However,for the NAFLD-group,TSH and SBP were the 5th and 6th most important factors,as opposed to Ca and BF in the NAFLD+group.展开更多
文摘Schistosomal appendicitis(SA)is a rare but serious complication of schistosomiasis,a parasitic disease affecting over 250 million people worldwide.A recent retrospective study by Wang et al provides important insights into the clinicopathological characteristics of SA.The study compared 136 cases of SA to 5418 cases of non-SA over a ten-year period.Key findings include a higher average age of SA patients(61.73 years vs 35.8 years for non-SA),a higher proportion of acute on chronic appendicitis(33.1%vs 16%),and a significantly higher incidence of colorectal cancer(11.7%vs 2.2%).Despite these differences,SA remains a diagnostic challenge due to its nonspecific clinical presentation and lack of specific laboratory findings.The study also highlights the persistent prevalence of SA,accounting for 1.6%-3.4%of all appendicitis cases each year from 2013 to 2023.These findings underscore the need for enhanced awareness,early detection,and prompt treatment of SA in endemic regions.Given the association with colorectal cancer,patients with SA require thorough screening and follow-up.Further research into the pathogenesis and diagnostic markers of SA is warranted.As the global battle against schistosomiasis continues,targeted efforts to diagnose and manage SA can significantly improve patient outcomes.
文摘BACKGROUND Severe dengue children with critical complications have been attributed to high mortality rates,varying from approximately 1%to over 20%.To date,there is a lack of data on machine-learning-based algorithms for predicting the risk of inhospital mortality in children with dengue shock syndrome(DSS).AIM To develop machine-learning models to estimate the risk of death in hospitalized children with DSS.METHODS This single-center retrospective study was conducted at tertiary Children’s Hospital No.2 in Viet Nam,between 2013 and 2022.The primary outcome was the in-hospital mortality rate in children with DSS admitted to the pediatric intensive care unit(PICU).Nine significant features were predetermined for further analysis using machine learning models.An oversampling method was used to enhance the model performance.Supervised models,including logistic regression,Naïve Bayes,Random Forest(RF),K-nearest neighbors,Decision Tree and Extreme Gradient Boosting(XGBoost),were employed to develop predictive models.The Shapley Additive Explanation was used to determine the degree of contribution of the features.RESULTS In total,1278 PICU-admitted children with complete data were included in the analysis.The median patient age was 8.1 years(interquartile range:5.4-10.7).Thirty-nine patients(3%)died.The RF and XGboost models demonstrated the highest performance.The Shapley Addictive Explanations model revealed that the most important predictive features included younger age,female patients,presence of underlying diseases,severe transaminitis,severe bleeding,low platelet counts requiring platelet transfusion,elevated levels of international normalized ratio,blood lactate and serum creatinine,large volume of resuscitation fluid and a high vasoactive inotropic score(>30).CONCLUSION We developed robust machine learning-based models to estimate the risk of death in hospitalized children with DSS.The study findings are applicable to the design of management schemes to enhance survival outcomes of patients with DSS.
文摘To achieve carbon dioxide(CO_(2))storage through enhanced oil recovery,accurate forecasting of CO_(2) subsurface storage and cumulative oil production is essential.This study develops hybrid predictive models for the determination of CO_(2) storage mass and cumulative oil production in unconventional reservoirs.It does so with two multi-layer perceptron neural networks(MLPNN)and a least-squares support vector machine(LSSVM),hybridized with grey wolf optimization(GWO)and/or particle swarm optimization(PSO).Large,simulated datasets were divided into training(70%)and testing(30%)groups,with normalization applied to both groups.Mahalanobis distance identifies/eliminates outliers in the training subset only.A non-dominated sorting genetic algorithm(NSGA-II)combined with LSSVM selected seven influential features from the nine available input parameters:reservoir depth,porosity,permeability,thickness,bottom-hole pressure,area,CO_(2) injection rate,residual oil saturation to gas flooding,and residual oil saturation to water flooding.Predictive models were developed and tested,with performance evaluated with an overfitting index(OFI),scoring analysis,and partial dependence plots(PDP),during training and independent testing to enhance model focus and effectiveness.The LSSVM-GWO model generated the lowest root mean square error(RMSE)values(0.4052 MMT for CO_(2) storage and 9.7392 MMbbl for cumulative oil production)in the training group.That trained model also exhibited excellent generalization and minimal overfitting when applied to the testing group(RMSE of 0.6224 MMT for CO_(2) storage and 12.5143 MMbbl for cumulative oil production).PDP analysis revealed that the input features“area”and“porosity”had the most influence on the LSSVM-GWO model's pre-diction performance.This paper presents a new hybrid modeling approach that achieves accurate forecasting of CO_(2) subsurface storage and cumulative oil production.It also establishes a new standard for such forecasting,which can lead to the development of more effective and sustainable solutions for oil recovery.
基金supported by the National Key R&D Program of China(No.2022YFF0800200)the NSFC(Nos.U1812402 and 42072131)+6 种基金Most Special Fund(No.MSFGPMR33)from the State Key Laboratory of GPMRthe CUG Scholar Scientific Research Funds(No.2022036)the NSF of Hebei Province(No.D2021334001)Research Project of Talent Engineering Training of Hebei Province(No.B2020005007)Research Project of Postdoctoral Scientific Research Station of HBGMR(No.454-0602-YBN-Z9E4)Natural Science Foundation of Hebei Province(No.D2021334001)the Central Government Guides Local Funds for Scientific and Technological Development(No.236Z7608 G)。
文摘Original sedimentary manganese(Mn)deposits and supergene Mn ores are important Mn resources in China.However,the geochemical information from Chinese supergene Mn ores is scarce,and the relationship between sedimentary Mn deposits and supergene Mn ores is ambiguous.In this study,we collected the original Mn-bearing dolomitic sandstones(ZK20-3 drillcore)and supergene Mn ores(Longmen Section)from eastern Hebei,North China for systematic petrographic,mineralogical and geochemical analyses.Our new data help us to figure out the transformation from original Mn-bearing deposits to supergene ores.The main minerals of original Mn-bearing dolomitic sandstones are quartz and feldspar,with minor muscovite,dolomite,rhodochrosite,ankerite,and kutnohorite.Supergene Mn-oxide ores only emerged in the middle part of the Longmen(LM)Section,and mainly contain quartz,pyrolusite,cryptomelane,todorokite and occasional dolomite.The possible transformation sequence of Mn minerals is:kutnohorite/rhodochrosite→pyrolusite(Ⅰ)→cryptomelane(todorokite)→todorokite(cryptomelane)→pyrolusite(Ⅱ).For Mn-oxide ores,Fe,Na and Si are enriched but Al,Ca,Mg and K are depleted with the enrichment of Mn.For original and supergene ores,the total rare earth element+ytterbium(∑REY)contents range from 105.68×10^(-6)to 250.56×10^(-6)and from 18.08×10^(-6)to 176.60×10^(-6),respectively.Original Mn ores have similar slightly LREE-enriched patterns,but the purer Mn-oxide ore shows a HREE-enriched pattern.In the middle part of the LM Section,positive Ce anomalies in Mn-oxide ores indicate the precipitation of Ce-bearing minerals.It implies the existence of geochemical barriers,which changed p H and Eh values due to the long-time influence of groundwater.
文摘BACKGROUND The impact of psychiatric disorder,especially depression,on the prognosis of sarcopenic patients is gaining prominence.Yet,there have been very few studies focusing on this issue,let alone the related targeted mental health prevention.This cohort-based nested case-control study is geared to compare risk of depression and the depression-related ambulatory care utilization for sarcopenia persons with and without receiving add-on Chinese herbal medicines(CHMs)treatment.AIM To compare risk of depression and the depression-related ambulatory care utili-zation for sarcopenia persons with and without receiving add-on CHMs treat-ment.METHODS In the beginning,we recruited those aged 20-70 years with newly diagnosed sarcopenia and free of depression between 2002 and 2010 from a nationwide insurance database.From them,we identified cases with depression onset occurring after sarcopenia until December 31,2013.To cautiously isolate the effect of CHMs,we established the matched sets of treated and untreated subjects with CHMs use by randomly frequency matching.A conditional logistic regression was executed to explore the association of CHMs to depression risk,and the frequency and costs of depression-related ambulatory care were compared using Mann-Whitney U test.RESULTS Addition of CHMs to routine care of sarcopenia notably correlated with a lower risk of depression.A remarkable effect of CHMs in reducing depression was detected when sarcopenia subjects received CHMs for more than three years,lowering depression risk by as much as 65%.As compared to CHMs users,the non-CHMs users indeed incurred higher frequency and costs of depression-related ambulatory care after depression attack(P<0.05).Notably,the costs for per depression-related ambulatory care profoundly increased with the years after depression attack.CONCLUSION Sarcopenic patients can greatly benefit from add-on CHMs treatment,underscoring the urgent need for interdisciplinary collaboration and proactive treatment planning.
文摘Recently,the gut microbiota has been identified as a significant risk factor associated with metabolic disorders related to obesity.Advances in high-throu-ghput sequencing technology have clarified the relationship between childhood obesity and changes in the gut microbiota.This commentary focuses on analyzing the study by Li et al,which utilized 16S rRNA molecular markers to compare differences in gut microbiota between obese and normal-weight children.Additionally,the review by Pan et al is referenced to supplement perspectives and evaluate the findings of this study.We also analyze the strengths and limitations of the original study and suggest potential research directions to elucidate the complex relationship between gut microbiota and childhood obesity,thereby providing a scientific basis for developing effective prevention and treatment strategies.
文摘Testicular tumor is the most common solid malignancy in males under 40 years of age.This malignancy is known to have a negative impact on male fertility.Therefore,several techniques for sperm retrieval have been proposed,including microdissection testicular sperm extraction(mTESE).The objective of this study was to review the literature on the outcomes of oncological(Onco)-mTESE at the time of radical orchiectomy.We conducted a comprehensive literature search through PubMed,Scopus,and Cochrane Central Controlled Register of Trials.Only studies reporting ex vivo mTESE in patients with testicular tumor were considered.Twelve papers met the inclusion criteria and were included in this review.Tumor size was identified as the sole preoperative factor influencing spermatogenesis.The considered studies demonstrated a satisfactory success rate for Onco-mTESE,associated with a similarly valid percentage of live healthy births through assisted reproductive technology.Currently,no comparison has been made between Onco-mTESE and conventional Onco-TESE,hence further assessment is required.In cases where the tumor completely replaces the cancer-bearing testicle,a contralateral micro-TESE may be a viable alternative.However,the surgeon should evaluate associated risks and benefits preoperatively.In conclusion,Onco-mTESE at the time of radical orchiectomy appears to be a promising therapeutic option for young patients with testicular tumors.Nevertheless,additional studies are necessary to achieve a definitive conclusion.
基金National Natural Science Foundation of China(42375014,42088101,42030605)Joint Research Project for Meteorological Capacity Improvement(24NLTSZ010)Young Elite Scientists Sponsorship Program by BAST(BYESS2023205)。
文摘In recent years,torrential rain events caused by extratropical cyclones(ETCs)during the boreal midsummer(July-August)in Central and Eastern China have shown an increasing trend.For instence,in August 2024,two ETCs brought large-scale heavy rainfall to North China,with daily precipitation exceeding 100 mm.Using reanalysis datasets and gridded precipitation data,the ETCs that affected Central and Eastern China during the boreal midsummer from 1981 to 2020 were objectively identified and tracked.ETCs causing precipitation were classified based on maximum daily precipitation,resulting in datasets for ETCs with torrential rain(daily precipitation exceeding 100 mm,referred to as ETC_R100)and heavy rain(daily precipitation exceeding 25 mm,referred to as ETC_R25).Comparative analysis can help highlight the characteristics of ETC_R100.This study compares the spatial distribution,movement paths,weather impacts,large-scale atmospheric circulation,and environmental conditions of these two types of precipitation-related ETCs.The following findings emerged:(1)ETC_R100 is driven by the combined forcing of upper-level troughs and warm-moist airflows at lower levels,exhibiting stronger thermal forcing than ETC_R25.(2)The moisture source for ETC_R100 are the Bay of Bengal and the Northwest Pacific,with moisture transported via the South China Sea.Compared to ETCs with nonextreme rainfall,ETC_R100 is characterized by greater atmospheric instability and better moisture conditions,resulting in higher precipitation intensity.(3)Regardless of the precipitation level,ETCs affected different regions but contributed significantly to precipitation in northern China,accounting for approximately 50%of the total precipitation.The results indicate that ETC_R100 differs significantly from ETCs with varying levels of precipitation in terms of statistical characteristics,weather impact,environmental conditions,and cyclogenesis conditions.
基金the National Key Research and Development Program of China(No.2023YFC3210100)the National Natural Science Foundation of China(Nos.42177060 and 52470107)the Sichuan Science and Technology Program(Nos.2023NSFSC1949 and 2023ZHCG0024-LH)for the financial support.
文摘The synergistic reduction of wastewater greenhouse gases(GHGs)and pollutants presents a critical environmental challenge.Understanding the synergistic efficiency and the factors that influence it is crucial for informed policy-making,but methods for assessing this efficiency are currently lacking.This study evaluates the synergistic efficiency in China from 2009 to 2019 using the elastic coefficient method,and assesses strict water policy impacts using double machine learning(DML).Results indicate that before 2015,China experiences synergistic increases,which shift to non-synergistic following the implementation of a strict water policy in 2015.Despite improved wastewater treatment rates,this policy paradoxically increases GHG emission intensity,leading to a“water-carbon”contradiction,especially in water-scarce,poorly enforced,and underdeveloped regions.The policy effect on GHG emission intensity is most influenced by wastewater pipeline infrastructure,followed by socioeconomic development,technological innovation,and industrial structure.Inefficiencies in GHG emission reductions are due to expanded wastewater treatment facilities and lower industrial energy efficiency.Conversely,higher salaries and technological advancements facilitate emission reductions.To achieve the synergy of effluent pollution and GHG reduction in the wastewater sector,provincial control priorities into four patterns are explored.This study provides guidance for low-carbon retrofitting of existing wastewater treatment plants and informs the design of effective water policies.
基金supported by the Scientific Research Foundation of Hainan Tropical Ocean University(No.RHDRC202312)the Major Science and Technology Project of Yazhou Bay Innovation Institute of Hainan Tropical Ocean University:Research on Hainan Coastal Marine Ecological Environment and Carbon Sink(No.2022CXYZD002).
文摘Fish scaleδ^(15)N(δ^(15)N_(sca))records trophic information of the whole life history for marine fishes.Data from gut content and values calculated from white muscle tissue(WMT)are insufficient for assessing trophic level(TL)of marine fishes as they only provide the information of several months or even several days.Stable isotope analysis(SIA)of nitrogen was carried out in fish scales and WMT of 16 species from a total of 28 individuals captured from the Yellow Sea and northern East China Sea in October and November of 2019,aiming at discovering the correlation betweenδ^(15)N_(sca) and fish WMTδ^(15)N(δ^(15)NWMT),so as to useδ^(15)N_(sca) for the characterization of TLs of marine fish.Scales were analyzed without prior carbonate dissolution as a pre-processing step.TL calculated fromδ^(15)N_(sca) was compared to traditional TL formula calculated withδ^(15)N_(WMT) to estimate the accuracy.We found that there was a highly significant and positive correlation(r=0.830,P<0.001)betweenδ^(15)N_(sca) andδ^(15)N_(WMT).TL calculation results using fish scale(TL_(sca))and WMT(TL_(WMT))showed congruence(r=0.773,P<0.001),and the regression coefficient betweenδ^(15)N_(sca) andδ^(15)NWMT was used for calculating TLsca.The conversion was conducted for the purpose of comparison with previousδ^(15)N_(WMT)-based calculation results of TL.TLsca calculation results were 81.25%within the TL range of±10%calculated withδ^(15)NWMT.The findings in the present study showed thatδ^(15)N_(sca) is a viable technique for the characterization of the TL of marine fish and can help to predict food web and support the study of marine ecosystem.
基金supported by the National Key Research and Development Program of China(2022YFD1300200)the National Natural Science Foundation of China(32161143010,32202646,and 32272848)+2 种基金the China Agriculture Research System(CARS-39)the Key Special Project of Ningxia Science and Technology Department,China(2021BEF02024)the local grants,China(NXTS2021-001,2022GD-TSLD-46,NK2022010207,and NXTS2022-001)。
文摘Highlights●CRISPR/Cas9 RNP complex-based strategy demonstrates robustness and accuracy in generating gene-edited sheep.●Sheep horn development remains unaffected by partial RXFP2 knockout.●Partial RXFP2 knockout results in unilateral cryptorchidism in sheep.
基金supported by the Ministry of Science and Technology of China(No.2022YFF0802501)Inner Mongolia Autonomous Region Science and Technology Program(Nos.2021GG0100 and 2022YFHH0116).
文摘Generally speaking,the precursors of ozone(O_(3)),nitrogen oxides and volatile organic compounds are very low in desert areas due to the lack of anthropogenic emissions and natural emissions,and thus O_(3)concentrations are relatively low.However,high summer background concentrations of about 100μg/m^(3)or 60 ppb were found in the Alxa Desert in the highland of northwest China based on continuous summer observations from 2019 to 2021,which was higher than the most of natural background areas or clean areas in world for summer O_(3)background concentrations.The high O_(3)background concentrations were related to surface features and altitude.Heavy-intensity anthropogenic activity areas in desert areas can cause increased O_(3)concentrations or pollution,but also generated O_(3)depleting substances such as nitrous oxide,which eventually reduced the regional O_(3)baseline values.Nitrogen dioxide(NO2)also had a dual effect on O_(3)generation,showing promotion at low concentrations and inhibition at high concentrations.In addition,sand-dust weather reduced O_(3)clearly,but O_(3)eventually stabilized around the background concentration values and did not vary with sand-dust particulate matter.
基金supported by the National Natural Science Foundation of China(Nos.U2340209,and 42271126)the NIGLAS Foundation(No.NIGLAS2022GS03)+1 种基金the Natural Science Foundation of Jiangsu Province(No.BK20220041)the US National Science Foundation Projects(Nos.1831096,1803697,and 2108917).
文摘The increased frequency and intensity of heavy rainfall events due to climate change could potentially influence the movement of nutrients from land-based regions into recipient rivers.However,little information is available on how the rainfall affect nutrient dynamics in subtropicalmontane rivers with complex land use.This study conducted high-frequency monitoring to study the effects of rainfall on nutrients dynamics in an agricultural river draining to Lake Qiandaohu,a montane reservoir of southeast China.The results showed that riverine total nitrogen(TN)and total phosphorus(TP)concentrations increased continuously with increasing rainfall intensity,while TN:TP decreased.The heavy rainfall and rainstorm drove more than 30%of the annual N and P loading in only 5.20%of the total rainfall period,indicating that increased storm runoff is likely to exacerbate eutrophication in montane reservoirs.NO_(3)^(−)-N is the primary nitrogen form lost,while particulate phosphorus(PP)dominated phosphorus loss.Themain source of N is cropland,and themain source of P is residential area.Spatially,forestedwatersheds have better drainage quality,while it is still a potential source of nonpoint pollution during rainfall events.TN and TP concentrations were significantly higher at sites dominated by cropland and residential area,indicating their substantial contributions to deteriorating river water quality.Temporally,TN and TP concentrations reached high values in May-August when rainfall was most intense,while they were lower in autumn and winter than that in spring and summer under the same rainfall intensities.The results emphasize the influence of rainfall-runoff and land use on dynamics of riverine N and P loads,providing guidance for nutrient load reduction planning for Lake Qiandaohu.
基金Ho Chi Minh City University of Technology(HCMUT),VNU-HCM for supporting this study.
文摘This study examines the stability of three-dimensional rectangular tunnel headings in drained c-ϕ soils,incor-porating surcharge effects using 3D Finite Element Limit Analysis(FELA).It focuses on the upper and lower bound solutions for three stability factors:cohesion,surcharge,and soil unit weight(Nc,Ns,and Nγ).Based on Terzaghi’s principle of superposition,the analysis evaluates tunnel stability under varying parameters,such as cover-depth ratio(H/D),width-depth ratio(B/D),and friction angle(ϕ).The results align closely with previous studies,and practical design charts are provided for calculating minimum support pressures.Additionally,machine learning models(ANN and XGBoost)are used to develop accurate correlations between input param-eters and stability results.A relative importance index analysis is conducted to assess the impact of these pa-rameters.This research enhances understanding of tunnel stability and offers practical insights for tunnel design.
文摘This study investigates pedestrian safety perception in Ho Chi Minh City under mixed traffic conditions by evaluating comfort,crash risk,and injury risk perceptions in two scenarios:walking along and crossing multilane roads.Using visual experiments with 510 participants,the study identifies how sidewalk quality,obstructions,crossing infrastructure,and traffic conditions shape pedestrian experiences.Statistical modeling reveals that protected sidewalks and comprehensive crossing features significantly enhance perceived safety and comfort.Findings emphasize the need for improved pedestrian infrastructure and traffic calming in dense urban settings to support safer,more inclusive mobility under mixed traffic conditions like Vietnam.
基金Supported by the An Nan Hospital,China Medical University,No.ANHRF114-20 and No.ANHRF114-21.
文摘BACKGROUND Antibiotic resistance significantly impacts the treatment failure rates of Helicobacter pylori(H.pylori)infections.AIM To investigate the trends in primary antibiotic resistance of H.pylori in Taiwan of China over the past six years.METHODS We conducted a retrospective analysis of H.pylori isolates from Taiwan residents,China who had not undergone previous treatments(n=1408),collected between January 1,2019 and December 31,2024.Susceptibility of these strains to amoxicillin,clarithromycin,levofloxacin,metronidazole,and tetracycline was tested using the Epsilometer test.We analyzed the trends in single and dual resistance profiles over the study period,and compared antibiotic resistance across different regions(northern,southern and eastern areas)of Taiwan of China.RESULTS The overall resistance rates for H.pylori to amoxicillin,clarithromycin,metronidazole,tetracycline,and levofloxacin in Taiwan of China were 1.3%,18.0%,31.0%,0.8%,and 28.7%,respectively.Tetracycline resistance increased significantly from 0%in 2019 to 3.5%in 2024(P value inχ^(2)test for linear trend:<0.001),while metronidazole resistance declined from 35.5%to 13.0%(P value inχ^(2)test for linear trend:<0.001).No significant changes of amoxicillin,clarithromycin and levofloxacin resistances were observed.The dual resistances to clarithromycin plus tetracycline,and metronidazole plus tetracycline both increased significantly from 0%to 1.7%from 2019 to 2024(P value inχ^(2)test for linear trend:<0.05).Furthermore,no significant regional differences in resistance frequencies except for levofloxacin were detected.CONCLUSION Primary antibiotic resistance to tetracycline in H.pylori has increased in Taiwan of China from 2019 to 2024,while resistance to metronidazole has decreased during the same period.The dual resistance to clarithromycin plus tetracycline and metronidazole plus tetracycline both increased significantly.
文摘Objective:To estimate the willingness to pay(WTP)of Ho Chi Minh City residents for the hand,foot,and mouth disease(HFMD)vaccine and its associated factors using the contingent valuation method.Methods:This cross-sectional study was conducted in 2024,involved face-to-face interviews with 423 participants in Ho Chi Minh City.The participants were divided into two groups:parents of children under six and individuals without young children.WTP for the HFMD vaccine was assessed using the Krinsky and Robb procedure and the double-bound dichotomous choice technique.A probit regression model was used to analyze factors influencing WTP.Results:The participants had a mean age of(34.0±10.3)years,and the majority of them were female,resided in urban areas,and held a university degree.54.6%had children under six years of age,and 63.8%had never heard of the EV71 vaccine.The mean WTP for two doses of the HFMD vaccine was VND 1240000(USD 51.66).Parents of children under six years old had a mean WTP of USD 49.16,while individuals without young children had a mean WTP of USD 56.25.Significant factors that were positively associated with WTP included vaccine price,younger age,higher income,and greater knowledge about vaccines.Conclusions:The study indicates a relatively high willingness to pay for HFMD vaccination in Ho Chi Minh City,suggesting strong potential for vaccine implementation.It is recommended that the government disseminate vaccine-related information to enhance public awareness and understanding.
基金supported by the National Natural Science Foundation of China (grant No.12373108)。
文摘The study of carbon-enhanced metal-poor (CEMP) stars is of great significance for understanding the chemical evolution of the early universe and stellar formation.CEMP stars are characterized by carbon overabundance and are classified into several subclasses based on the abundance patterns of neutron-capture elements,including CEMP-s,CEMP-no,CEMP-r,and CEMP-r/s.These subclasses provide important insights into the formation of thefirst stars,early stellar nucleosynthesis,and supernova explosions.However,one of the major challenges in CEMP star research is the relatively small sample size of identified stars,which limits statistical analyses and hinders a comprehensive understanding of their properties.Fortunately,a series of large-scale spectroscopic survey projects have been launched and developed in recent years,providing unprecedented opportunities and technical challenges for the search and study of CEMP stars.To this end,this paper draws on the progress and future prospects of existing methods in constructing large CEMP data sets and offers an in-depth discussion from a technical standpoint,focusing on the strengths and limitations.In addition,we review recent advancements in the identification of CEMP stars,emphasizing the growing role of machine learning in processing and analyzing the increasingly large data sets generated by modern astronomical surveys.Compared to traditional spectral analysis methods,machine learning offers greater efficiency in handling complex data,automatic extraction of stellar parameters,and improved prediction accuracy.Despite these advancements,the research faces persistent challenges,including the scarcity of labeled samples,limitations imposed by low-resolution spectra,and the lack of interpretability in machine learning models.To address these issues,the paper proposes potential solutions and future research directions aimed at advancing the study of CEMP stars and enhancing our understanding of their role in the chemical evolution of the universe.
基金Supported by Medical Affairs Bureau Ministry of National Defense,No.MND-MAB-D-114222Hualien Armed Forces General Hospital,No.HAFGH-D-114008.
文摘BACKGROUND Some non-insulin-based insulin resistance(IR)indices have been found to be associated with metabolic syndrome(MetS);however,few cohort studies have compared the capacities of these indices for predicting incident MetS in young adults.AIM To investigate the associations of various non-insulin-based IR(NI-IR)indices with new-onset MetS in young military personnel.METHODS A total of 2890 armed forces personnel in Taiwan who were aged 18-39 years and did not have MetS at baseline were followed to monitor the incidence of new-onset MetS from 2014 to the end of 2020.Six NI-IR indices,including the metabolic score for IR(METS-IR),triglyceride(TG)-to-high-density lipoprotein cholesterol(HDL-C)ratio,TG glucose(TyG)index,Zhejiang University(ZJU)index,total cholesterol(TC)-to-HDL-C ratio,and alanine transaminase(ALT)-to-aspartate transaminase(AST)ratio,were defined according to specific criteria.Incident MetS was identified on the basis of each annual health examination using the International Diabetes Federation criteria.Multiple Cox regression analyses were conducted,adjusting for age,sex,waist circumference,smoking status,alcohol consumption status,and physical activity,to assess the associations of the NI-IR indices with incident MetS.The area under the receiver operating characteristic curve(AUROC)was used to compare the capacities of these NI-IR indices for predicting new-onset MetS.RESULTS During a median follow-up of 5.8 years,there were 673 patients with new-onset MetS(23%).All six of the NI-IR indices were significantly and positively associated with incident MetS.In the entire cohort,the greatest AUROC was found for the METS-IR[0.782;95%confidence interval(CI):0.762-0.801;all P values compared to the other NIIR indices<0.05],followed by the TG/HDL-C ratio(0.752;95%CI:0.731-0.772),ZJU index(0.743;95%CI:0.722-0.764),TyG index(0.734;95%CI:0.713-0.756),TC/HDL-C ratio(0.731;95%CI:0.709-0.752),and then the ALT/AST ratio(0.734;95%CI:0.713-0.756).CONCLUSION This study suggests that almost all the NI-IR indices are associated with the development of MetS in military young adults.The METS-IR is the strongest predictor of new-onset MetS before midlife.
基金Supported by the Kaohsiung Armed Forces General Hospital.
文摘BACKGROUND The prevalence of non-alcoholic fatty liver(NAFLD)has increased recently.Subjects with NAFLD are known to have higher chance for renal function impairment.Many past studies used traditional multiple linear regression(MLR)to identify risk factors for decreased estimated glomerular filtration rate(eGFR).However,medical research is increasingly relying on emerging machine learning(Mach-L)methods.The present study enrolled healthy women to identify factors affecting eGFR in subjects with and without NAFLD(NAFLD+,NAFLD-)and to rank their importance.AIM To uses three different Mach-L methods to identify key impact factors for eGFR in healthy women with and without NAFLD.METHODS A total of 65535 healthy female study participants were enrolled from the Taiwan MJ cohort,accounting for 32 independent variables including demographic,biochemistry and lifestyle parameters(independent variables),while eGFR was used as the dependent variable.Aside from MLR,three Mach-L methods were applied,including stochastic gradient boosting,eXtreme gradient boosting and elastic net.Errors of estimation were used to define method accuracy,where smaller degree of error indicated better model performance.RESULTS Income,albumin,eGFR,High density lipoprotein-Cholesterol,phosphorus,forced expiratory volume in one second(FEV1),and sleep time were all lower in the NAFLD+group,while other factors were all significantly higher except for smoking area.Mach-L had lower estimation errors,thus outperforming MLR.In Model 1,age,uric acid(UA),FEV1,plasma calcium level(Ca),plasma albumin level(Alb)and T-bilirubin were the most important factors in the NAFLD+group,as opposed to age,UA,FEV1,Alb,lactic dehydrogenase(LDH)and Ca for the NAFLD-group.Given the importance percentage was much higher than the 2nd important factor,we built Model 2 by removing age.CONCLUSION The eGFR were lower in the NAFLD+group compared to the NAFLD-group,with age being was the most important impact factor in both groups of healthy Chinese women,followed by LDH,UA,FEV1 and Alb.However,for the NAFLD-group,TSH and SBP were the 5th and 6th most important factors,as opposed to Ca and BF in the NAFLD+group.
