Slope stability prediction plays a significant role in landslide disaster prevention and mitigation.This study develops an ensemble learning-based method to predict the slope stability by introducing the random forest...Slope stability prediction plays a significant role in landslide disaster prevention and mitigation.This study develops an ensemble learning-based method to predict the slope stability by introducing the random forest(RF)and extreme gradient boosting(XGBoost).As an illustration,the proposed approach is applied to the stability prediction of 786 landslide cases in Yunyang County,Chongqing,China.For comparison,the predictive performance of RF,XGBoost,support vector machine(SVM),and logistic regression(LR)is systematically investigated based on the well-established confusion matrix,which contains the known indices of recall rate,precision,and accuracy.Furthermore,the feature importance of the 12 influencing variables is also explored.Results show that the accuracy of the XGBoost and RF for both the training and testing data is superior to that of SVM and LR,revealing the superiority of the ensemble learning models(i.e.XGBoost and RF)in the slope stability prediction of Yunyang County.Among the 12 influencing factors,the profile shape is the most important one.The proposed ensemble learning-based method offers a promising way to rationally capture the slope status.It can be extended to the prediction of slope stability of other landslide-prone areas of interest.展开更多
Temporal variation of rock mass properties,especially the strength degradation due to drying-wetting cycles as well as the acidic wetting fluid(rainfall or reservoir water)is crucial to stability of reservoir rock slo...Temporal variation of rock mass properties,especially the strength degradation due to drying-wetting cycles as well as the acidic wetting fluid(rainfall or reservoir water)is crucial to stability of reservoir rock slopes.Based on a series of drying-wetting cycling and experiments considering the influences of pH values,the degradation degree models of the reduced cohesion𝑐𝑐′,friction angle𝜑𝜑′are developed.2D stability analysis of the slope is subsequently carried out to calculate the factor of safety(Fs)via limit equilibrium method(LEM)and a predictive model of Fs is built using multivariate adaptive regression splines(MARS),revealing the effect of the drying-wetting cycles and pH value.The reliability analysis by Monte Carlo simulation is performed to rationally consider the uncertainty and the temporal variation of the shear strength parameters of rock mass.Results indicate that the MARS-based model can estimate the Fs accurately.The Fs and the reliability indexβdecrease with increase of drying-wetting cycles,and the temporal variation of rock mass properties has significant influence on the slope reliability.Overlooking the temporal variation of rock properties may overestimate the Fs and reliability indexβin the longer term.展开更多
The development of low-cost,high-performance Mg alloys is crucial to the industrial applications of large-scale production of Mg alloys.In this work,extruded Mg-5Bi-3Al alloy with excellent mechanical properties is su...The development of low-cost,high-performance Mg alloys is crucial to the industrial applications of large-scale production of Mg alloys.In this work,extruded Mg-5Bi-3Al alloy with excellent mechanical properties is successfully prepared by modifying the extrusion temperatures(240℃and 300℃).The extruded alloy obtained ultra-high strength(yield strength=380 MPa,ultimate tensile strength=418 MPa)and excellent plasticity(elongation=10.2%)at the extrusion temperature of 240℃,the main contributing factors are primarily attributed to the synergistic effect of ultrafine recrystallized grain size(~0.5µm)and high density of Mg_(3)Bi_(2)precipitates.Stacking faults within the sub-micron Mg_(3)Bi_(2)phase are observed in the E240 alloy,confirming the plastic deformation capability of Mg_(3)Bi_(2)phase.The effects of extrusion temperature on the microstructure,mechanical properties,and work-hardening behavior of the extruded Mg-5Bi-3Al alloys at room temperature are systematically investigated.The results suggest that decreasing the extrusion temperature can refine recrystallized grain size and Mg_(3)Bi_(2)phase size,and the quantity of Mg_(3)Bi_(2)phase is increased,while increasing the extrusion temperature can improve the degree of recrystallization and weaken texture.The work hardening rate is increased with the increased extrusion temperature,mainly due to the coarsening of grains and precipitates,and the weakening of texture.This work provides an experimental basis for preparing high-performance wrought Mg-5Bi-3Al alloys.展开更多
The National Strong-Motion Observation Network System of China has collected over 12 000 strong-motion recordings from 2007 to December 2020.This study assembled the source-related metadata of 1 920 earthquakes associ...The National Strong-Motion Observation Network System of China has collected over 12 000 strong-motion recordings from 2007 to December 2020.This study assembled the source-related metadata of 1 920 earthquakes associated with assembled well-processed recordings of China.The earthquake basic information,focal mechanisms,and the fault geometry were collected from various institutes and literature.We recommended the MWvalues for 900 earthquakes,the fault types for 1 064 earthquakes,and the fault geometries for 18 large earthquakes.We also performed the statistical analysis for establishing the empirical conversions of MW-MS,and ML,and providing the empirical relationships between MWand ruptured area,aspect ratio,respectively.Moreover,the ruptured fault geometries of large earthquakes were used to preliminarily divide all earthquakes considered into 1 141 mainshocks,and 779 aftershocks.The finite-fault distances(RJBand Rrup) of strong-motion recordings from the 18 large earthquakes were calculated,and then used to yield the statistic relationships between the point-source distances(Repiand Rhyp) and finite-fault distances.We finally provided the earthquake source database freely accessible at website.The source-related metadata can be directly applied to develop the ground motion prediction equations of China.展开更多
Long non-coding RNAs(lncRNAs)have been implicated in cancer progression and drug resistance development.Moreover,there is evidence that lncRNA HOX transcript antisense intergenic RNA(HOTAIR)is involved in colorectal c...Long non-coding RNAs(lncRNAs)have been implicated in cancer progression and drug resistance development.Moreover,there is evidence that lncRNA HOX transcript antisense intergenic RNA(HOTAIR)is involved in colorectal cancer(CRC)progression.The present study aimed to examine the functional role of lncRNA HOTAIR in conferring radiotherapy resistance in CRC cells,as well as the underlying mechanism.The relative expression levels of HOTAIR were examined in 70 pairs of CRC tumor and para-cancerous tissues,as well as in radiosensitive and radioresistant samples.The correlations between HOTAIR expression levels and clinical features of patients with CRC were assessed using the Chi-square test.Functional assays such as cell proliferation,colony formation and apoptosis assays were conducted to determine the radiosensitivity in CRC cells with HOTAIR silencing after treatment with different doses of radiation.RNA pull-down assay andfluorescence in situ hybridization(FISH)were used to determine the interaction between HOTAIR and DNA damage response mediator ataxia-telangiectasia mutated-and Rad3-related(ATR).HOTAIR was significantly upregulated in CRC tumor tissues,especially in radioresistant tumor samples.The elevated expression of HOTAIR was correlated with more advanced histological grades,distance metastasis and the poor prognosis in patients with CRC.Silencing HOTAIR suppressed the proliferation and promoted apoptosis and radiosensitivity in CRC cells.HOTAIR knockdown also inhibited the tumorigenesis of CRC cells and enhanced the sensitivity to radiotherapy in a mouse xenograft model.Moreover,the data showed that HOTAIR could interact with ATR to regulate the DNA damage repair signaling pathway.Silencing HOTAIR impaired the ATR-ATR interacting protein(ATRIP)complex and signaling in cell cycle progression.Collectively,the present results indicate that lncRNA HOTAIR facilitates the DNA damage response pathway and promotes radioresistance in CRC cells by targeting ATR.展开更多
Dried seaweed powder was used as the raw material to extract polysaccharides by ethanol precipitation after water bath. Extraction temperature, extrac- tion duration, solution pH and solid to liquid ratio were selecte...Dried seaweed powder was used as the raw material to extract polysaccharides by ethanol precipitation after water bath. Extraction temperature, extrac- tion duration, solution pH and solid to liquid ratio were selected as technical parameters which required to be optimized. With the extraction rate of seaweed poly- saccharides as an index, single-factor experiment and orthogonal experiment were carried out to determine the optimal extraction technique. Seaweed polysaceharides were extracted with the optimal technical parameters to analyze the biological activities. Savage method was used to process seaweed polysaceharide extract. In vitro biological activities of preliminarily purified seaweed polysaeeharides were investigated successively, including reducing ability, antioxidant ability and antibacterial activity. The results showed that there was a positive correlation between polysaccharide concentration and its reducing ability, antioxidant ability and antibacterial activity. Furthermore, there was also a correlation among the reducing ability, antioxidant ability and antibacterial activity of seaweed polysaecharides; the relation- ship between each two of these three indicators was similar to positive linear correlation.展开更多
The comparison was conducted to investigate the higher extraction rate between two methods including alcohol deposition with acid hydrolysis and micro- wave-assistant extraction technique. The experimental results sho...The comparison was conducted to investigate the higher extraction rate between two methods including alcohol deposition with acid hydrolysis and micro- wave-assistant extraction technique. The experimental results showed that the former method led to a better extraction effect. For the method of alcohol deposition with acid hydrolysis, the technique parameters were optimized through I.s （34 ） orthogonal e^periment based on the results of single factor experiments, after investi- gated the effect of solid to liquid ratio, pH, extraction temperature and extraction time on the pectin extraction rate. tersrm technique was employed to extract pectin. The selected parameter was obtained by means On the basis of the optimal technical parmne- of L16 （45） orthogonal experiment after studied the effect of solid to liquid ratio, extraction temperature, microwave treatment period, pH and microwave power on pectin extraction yield. Repetitive examinations of two methods were carried out separately, pectin extraction rate with the fLrst technique was 14.57% and that with the second method was 11.62%. The charac- teristics of the pectin sample prepared by alcohol deposition with acid hydrolysis were further investigated. The research demonstrated that mass percent of pectin was 87.23%. The esterification degree of pectin was 75.66% ,and pectin sample color was from creamy white to pale yellow.展开更多
[ Objective ] This study aimed to optimize the extraction technology for rice bran oil. [ Method ] Using rice bran as raw material, effects of ultrasonicassisted extraction technology and different organic solvents, e...[ Objective ] This study aimed to optimize the extraction technology for rice bran oil. [ Method ] Using rice bran as raw material, effects of ultrasonicassisted extraction technology and different organic solvents, extraction durations, solid-liquid ratios and extraction temperatures on extraction results of rice bran oil were investigated. Based on the results of single-factor experiment, L9 （34 ） orthngonal experiment with three factors at three levels was conducted to optimize the extraction technological parameters, thus obtaining the optimal technological conditions for extracting rice bran oil. [ Result] Anhydrous ethanol led to the best extraction result; after ultrasonic treatment, the extraction rate of rice bran oil from raw material was not enhanced. The optimized technological parameters were ： extraction temperature of 80 ℃, extraction duration of 20 rain and solid-liquid ratio of 1：24 （ g： ml）. Under the optimized technological conditions, the extraction rate of rice bran oil reached 19.33%. [ Conclusion] This study laid solid foundation for further investigation and development of rice bran oil.展开更多
In this study, pectin was extracted from grapefruit peels with hydrochloric acid and precipitated with 95% ethanol solution and 5% tartaric acid. The physical and chemical properties of pectin obtained were analyzed, ...In this study, pectin was extracted from grapefruit peels with hydrochloric acid and precipitated with 95% ethanol solution and 5% tartaric acid. The physical and chemical properties of pectin obtained were analyzed, including color, texture, degree of esterification, and water solubility. The effects of peel to sol- vent ratio, pH of the solvent, extraction temperature and extraction duration on pectin extraction rate were investigated. On the basis of single-factor experiments, an L9 （34） orthogonal experiment was performed to screen the optimal extraction conditions. According to the results, the optimal combination of technical parame- ters was A1B3 C1 D3, i. e. , solid to liquid ratio 1：40 （g： ml）, pH 2.0, extraction duration 70 rain, extraction temperature 90 ℃. The average pectin extraction rate was 68.60% ; the color of pectin extracted under the optimal conditions varied from milky white to light yellow; the degree of esterification of pectin extracts was 65. 71% ; the extracted pectin exhibited good water solubility. Key words Pomelo peel; Pectin extraction; Optimum conditions; Esterification degree; Water solubility展开更多
[ Objective] This study aimed to investigate enzymatic hydrolysis technology of glutinous rice and the oxidation resistance activity of the enzymatic hydrolysis solution. [ Method ] White glutinous rice was hydrolyzed...[ Objective] This study aimed to investigate enzymatic hydrolysis technology of glutinous rice and the oxidation resistance activity of the enzymatic hydrolysis solution. [ Method ] White glutinous rice was hydrolyzed using four kinds of proteases including neutral protease, alkaline protease, papain and trypsin. Using the scavenging rate of hydroxyl radical （ ·OH） as an indicator and appropriate protease as hydrolytic enzyme, the effects of protein substrate concentration, enzyme dosage, enzymatic hydrolysis temperature and initial pH on the abilities of proteases to scavenge hydroxyl radical from enzymatic hydrolysis solution of glutinous rice were investigated. Based on single-factor test, L9 （34） orthogonal experimental design was adopted, to determine the optimal enzymatic hydrolysis condi- tions leading to the highest oxidation resistance activity of enzymatic hydrolysis solution. [ Result] The optimized process parameters for enzymatic hydrolysis of glu- tinous rice protein with neutral protease were： protein substrate concentration of 2%, enzyme dosage of 24 000 U/g protein （protein meter）, enzymatic hydrolysis temperature of 55 ℃, initial pH of 8.0, and enzymatic hydrolysis duration of 0.5 h; under these conditions, the hydroxyl radical scavenging rate could reach 56. 05% ; protein substrate concentration, enzyme dosage, enzymatic hydrolysis temperature and initial pH had extremely significant effects on the hydroxyl radical scavenging rate. In addition, the activities of antioxidant peptides in glutinous rice hydrolysates were well maintained within a temperature range of 60 - 100℃. [Condusion] The study produced theoretical feasibility reference for the production of functional base powder by spray drying.展开更多
1 Main text,In a recent study,Shixiang Wang and colleagues developed a machine learning-based computational framework called GCAP to detect ecDNA amplification directly from whole-exome sequencing(WES)data,and reveale...1 Main text,In a recent study,Shixiang Wang and colleagues developed a machine learning-based computational framework called GCAP to detect ecDNA amplification directly from whole-exome sequencing(WES)data,and revealed clinical implications of ecDNA in TCGA pancancer study,colorectal cancer subtyping and immunotherapy response[1].In this commentary,we highlight the key findings and provide our insights into paradigm for real-world clinical ecDNA cancer investigation,as well as potential alterations in commentary for tumor diagnostics and therapy strategy(Fig.1).展开更多
To elucidate the molecular mechanisms by which choline regulates hepatic lipid metabolism under negative energy balance conditions,we established non-esterified fatty acid(NEFA)-induced hepatic steatosis models in bot...To elucidate the molecular mechanisms by which choline regulates hepatic lipid metabolism under negative energy balance conditions,we established non-esterified fatty acid(NEFA)-induced hepatic steatosis models in both calf primary hepatocytes and human LO2 hepatocytes.Choline supplementation significantly reduced intracellular triglyceride accumulation and cytotoxicity induced by NEFA exposure.Transcriptomic profiling identified glycine N-methyltransferase(GNMT)as a key differentially expressed gene.Subsequent experiments confirmed that choline upregulated GNMT expression at both the mRNA and protein levels in a concentration-dependent manner.Knockdown of GNMT reversed the beneficial effects of choline on genes related to lipid synthesis(FAS,ACC),fatty acid oxidation(CPT1),lipoprotein assembly(ApoB100,MTTP),and bile acid metabolism(CYP7A1,CYP27A1,BSEP).Furthermore,inhibition of AMP-activated protein kinase(AMPK)reduced GNMT protein expression and elevated Myc,a negative transcriptional regulator of GNMT,suggesting that choline may regulate GNMT through the AMPK/Myc axis.Collectively,our findings demonstrate that choline alleviates NEFA-induced lipid accumulation and hepatocellular damage by modulating lipid and bile acid metabolism through GNMT,with the AMPK/Myc/GNMT signaling axis playing a pivotal regulatory role.These results provide mechanistic insights into the hepatic protective effects of choline and suggest GNMT as a potential therapeutic target for metabolic disorders in dairy cows and beyond.展开更多
This review summarizes the mechanisms of hepatic glycolipid metabolism disorders caused by the negative energy balance encountered in periparturient dairy cows and the relevant research on nutritional additives as a t...This review summarizes the mechanisms of hepatic glycolipid metabolism disorders caused by the negative energy balance encountered in periparturient dairy cows and the relevant research on nutritional additives as a therapeutic option.Factors such as dietary management,hormonal regulation,and overall metabolic stress in the body of the transition cow all contribute greatly to fatty liver formation.Nutritional strategies,such as using gluconeogenic precursors,growth factor,natural plant extracts,and methyl donors can positively modulate the negative effects of fatty liver in periparturient dairy cows.Choline,a methyl donor as a feed additive in transition cows minimizes lipid accumulation in the liver by increasing the efficiency of lipoprotein transport.In conclusion,the disruption of hepatic gluconeogenesis,changes in hormone levels,oxidative stress,and endoplasmic reticulum stress during the transition period in dairy cows collectively disturb hepatic anabolic homeostasis.This disruption promotes the formation of fatty liver and reduces lactation performance in dairy cows.Understanding the specific physiological phenomena of hepatic lipid metabolism disorders in transition cows and intervening with nutritional additives will reduce the negative effects of transition stress and improve animal health.展开更多
Landslide is a common geological hazard in reservoir areas and may cause great damage to local residents’life and property.It is widely accepted that rainfall and periodic variation of water level are the two main fa...Landslide is a common geological hazard in reservoir areas and may cause great damage to local residents’life and property.It is widely accepted that rainfall and periodic variation of water level are the two main factors triggering reservoir landslides.In this study,the Bazimen landslide located in the Three Gorges Reservoir(TGR)was back-analyzed as a case study.Based on the statistical features of the last 3-year monitored data and field instrumentations,the landslide susceptibility in an annual cycle and four representative periods was investigated via the deterministic and probabilistic analysis,respectively.The results indicate that the fluctuation of the reservoir water level plays a pivotal role in inducing slope failures,for the minimum stability coefficient occurs at the rapid decline period of water level.The probabilistic analysis results reveal that the initial sliding surface is the most important area influencing the occurrence of landslide,compared with other parts in the landslide.The seepage calculations from probabilistic analysis imply that rainfall is a relatively inferior factor affecting slope stability.This study aims to provide preliminary guidance on risk management and early warning in the TGR area.展开更多
Excessive structural forces generated inside tunnel linings could affect the safety and serviceability of tunnels,emphasizing the need to accurately predict the forces acting on tunnel linings during the preliminary d...Excessive structural forces generated inside tunnel linings could affect the safety and serviceability of tunnels,emphasizing the need to accurately predict the forces acting on tunnel linings during the preliminary design phase.In this study,an anisotropic soil model devel-oped by Norwegian Geotechnical Institute(NGI)based on the Active-Direct shear-Passive concept(NGI-ADP model)was adopted to conduct finite element(FE)analyses.A total of 682 cases were modeled to analyze the effects of five key parameters on twin-tunnel struc-tural forces;these parameters included twin-tunnel arrangements and subsurface soil properties:burial depth H,tunnel center-to-center distance D,soil strength s_(u)^(A),stiffness ratio G_(u)=s_(u)^(A),and degree of anisotropy ss_(u)^(P)=s_(u)^(A).The significant factors contributing to the bending moment and thrust force of the linings were the tunnel distance and overlying soil depth,respectively.The degree of anisotropy of the surrounding soil was found to be extremely important in simulating the twin-tunnel construction,and severe design errors could be made if the soil anisotropy is ignored.A cutting-edge application of machine learning in the construction of twin tunnels is presented;multivariate adaptive regression splines and decision tree regressor methods are developed to predict the maximum bending moment within the first tunnel’s linings based on the constructed FE cases.The developed prediction model can enable engineers to estimate the structural response of twin tunnels more accurately in order to meet the specific target reliability indices of projects.展开更多
Ferroptosis,a distinct regulated cell death process characterized by iron retention and lipid peroxidation,plays a crucial role in the survival of cancer stem cells(CSCs),key contributors to cancer initiation,progress...Ferroptosis,a distinct regulated cell death process characterized by iron retention and lipid peroxidation,plays a crucial role in the survival of cancer stem cells(CSCs),key contributors to cancer initiation,progression,and recurrence.CSCs exhibit enhanced iron uptake and altered lipid metabolism,allowing them to evade conventional therapies and persist within the cancer microenvironment.Their resilience is linked to low reactive oxygen species levels,aiding survival under oxidative stress.Key regulatory pathways,including the cystine/glutathione axis,significantly modulate CSCs'sensitivity to ferroptosis by maintaining a balance between antioxidant defenses and pro-oxidative stressors.Targeting ferroptosis in CSCs offers promising therapeutic avenues for enhancing treatment efficacy and overcoming resistance.Strategies such as pharmacological inhibition of the SLC7A11 transporter,which reduces cysteine availability and glutathione levels,can potentiate ferroptosis in CSCs.Additionally,inducing dysregulation of iron metabolism or lipid peroxidation can selectively compromise CSCs'survival.Nanoparticle drug delivery systems that increase intracellular iron and reactive oxygen species levels are proving effective in targeting CSCs with minimal impact on normal cells.Ultimately,a comprehensive understanding of the interplay between ferroptosis and CSCs'biology is essential for developing innovative strategies aimed at eradicating these elusive cells,thereby improving cancer treatment outcomes and reducing recurrence rates.展开更多
Settlements serve as the tangible carriers of civilization,with historic urban blocks reflecting distinct cultural attributes that are essential for analyzing settlement types,exploring urban form characteristics,and ...Settlements serve as the tangible carriers of civilization,with historic urban blocks reflecting distinct cultural attributes that are essential for analyzing settlement types,exploring urban form characteristics,and refining spatial planning ideologies.Thus,this study focuses on the block as the fundamental morphological unit and introduces a structured research methodology from the typo-morphological perspective,comprising the following stages:Block Morphology Quantification,Block Pattern Types Extraction,Settlement Type Division,and Planning Ideology Discussion.This methodology can efficiently enhance the understanding of morphology and planning ideologies of heritage settlements by applying quantitative approaches to clustering settlements based solely on block pattern.For method validation,37 typical colonial heritage settlements in the Americas is conducted as empirical study through the following process:first,quantifying block morphology;second,identifying block pattern types by K-means clustering;third,applying hierarchical clustering referring to the proportion of block pattern types within each case,resulting in the identification of four categories of"strategic core","corridor node","resource spot"and"overseas new town";lastly,three key planning ideologies-"order","efficiency"and"practicality"—that shaped these settlements are derived from classification results accordingly.As empirical study result,the effectiveness of classifying heritage settlements using block patterns is validated.展开更多
Ceria nanoparticles with various shapes （rods, cubes, and plates） and sizes were controllably synthesized and then introduced into epoxy resin. Subsequently, we investigated correlations between the shape and size o...Ceria nanoparticles with various shapes （rods, cubes, and plates） and sizes were controllably synthesized and then introduced into epoxy resin. Subsequently, we investigated correlations between the shape and size of ceria nanostructures and the mechanical performance of composites. The samples were character- ized by transmission electron microscopy, scanning electron microscopy, and X-ray diffraction. Compared with commercial ceria filled composites, the composites made with morphology-controlled ceria nanos- tructures show a higher impact strength. It is found that epoxy resins made with high-aspect-ratio ceria nanorods show the highest impact strength, up to 17.27 kJ/m2, which is about four times that of the neat epoxy resin.展开更多
Background and Objectives:To investigate the relationship between sodium(Na)and potassium(K)nutritional condition and body compositions in youth aiming to give target population reasonable diet recommendations.Methods...Background and Objectives:To investigate the relationship between sodium(Na)and potassium(K)nutritional condition and body compositions in youth aiming to give target population reasonable diet recommendations.Methods and Study Design:The cross-sectional study was conducted involving 512 healthy youth aged 18 to 31 years from universities in Beijing.Food frequency questionnaire(FFQ)and bioelectrical impedance analyzer(BIA)were used to collect dietary intake information and body compositions.Results:There was an increasing tendency in fat-related indicators and muscle-related indicators of the dietary Na tertile group(p<0.05).Additionally,Weight,body mass index(BMI),waist circumference(WC),and muscle-related indicators increased with the dietary K tertile group(p<0.05).Across increasing tertiles of dietary Na intake,the odds ratio(OR)was increased significantly(p<0.05)in fat-related indicators.On the contrary,with the increased dietary Na intake,the OR decreased(p<0.05)in appendicular skeletal muscle mass index(ASMI)and body lean mass.As tertiles of dietary K intake increased,the OR in both skeletal muscle mass index(SMMI)and lean mass index(LMI)decreased.Conclusions:High dietary Na is a risk factor for abnormal lipid distribution in college students.High dietary K can maintain skeletal muscle mass and reduce the risk of obesity.Na in the diet has a greater impact on the body composition of young people than K.Low dietary Na and high dietary K still need to be strengthened in science popularization and practice among more college students.展开更多
基金supports from National Natural Science Foundation of China(Grant No.52008058)National Key R&D Program of China(Grant No.2019YFC1509605)High-end Foreign Expert Introduction program(Grant No.G20200022005).
文摘Slope stability prediction plays a significant role in landslide disaster prevention and mitigation.This study develops an ensemble learning-based method to predict the slope stability by introducing the random forest(RF)and extreme gradient boosting(XGBoost).As an illustration,the proposed approach is applied to the stability prediction of 786 landslide cases in Yunyang County,Chongqing,China.For comparison,the predictive performance of RF,XGBoost,support vector machine(SVM),and logistic regression(LR)is systematically investigated based on the well-established confusion matrix,which contains the known indices of recall rate,precision,and accuracy.Furthermore,the feature importance of the 12 influencing variables is also explored.Results show that the accuracy of the XGBoost and RF for both the training and testing data is superior to that of SVM and LR,revealing the superiority of the ensemble learning models(i.e.XGBoost and RF)in the slope stability prediction of Yunyang County.Among the 12 influencing factors,the profile shape is the most important one.The proposed ensemble learning-based method offers a promising way to rationally capture the slope status.It can be extended to the prediction of slope stability of other landslide-prone areas of interest.
基金the financial support from Natural Science Foundation of Chongqing,China(cstc2018jcyjAX0632)the Venture&Innovation Support Program for Chongqing Overseas Returnees(cx2017123)+1 种基金as well as Chongqing Engineering Research Center of Disaster Prevention&Control for Banks and Structures in Three Gorges Reservoir Area(SXAPGC18ZD01,SXAPGC18YB03)In addition,the authors would like to express their appreciation to Liu et al.[Liu,Zhang and Fu(2014)]for making their test results available for this work.
文摘Temporal variation of rock mass properties,especially the strength degradation due to drying-wetting cycles as well as the acidic wetting fluid(rainfall or reservoir water)is crucial to stability of reservoir rock slopes.Based on a series of drying-wetting cycling and experiments considering the influences of pH values,the degradation degree models of the reduced cohesion𝑐𝑐′,friction angle𝜑𝜑′are developed.2D stability analysis of the slope is subsequently carried out to calculate the factor of safety(Fs)via limit equilibrium method(LEM)and a predictive model of Fs is built using multivariate adaptive regression splines(MARS),revealing the effect of the drying-wetting cycles and pH value.The reliability analysis by Monte Carlo simulation is performed to rationally consider the uncertainty and the temporal variation of the shear strength parameters of rock mass.Results indicate that the MARS-based model can estimate the Fs accurately.The Fs and the reliability indexβdecrease with increase of drying-wetting cycles,and the temporal variation of rock mass properties has significant influence on the slope reliability.Overlooking the temporal variation of rock properties may overestimate the Fs and reliability indexβin the longer term.
基金supported by the National Natural Science Foundation of China[grant nos.52371005,52022017,and 51927801]Fundamental Research Funds for the Central Universities.E.G.thanks Xiaomi Foundation for support.
文摘The development of low-cost,high-performance Mg alloys is crucial to the industrial applications of large-scale production of Mg alloys.In this work,extruded Mg-5Bi-3Al alloy with excellent mechanical properties is successfully prepared by modifying the extrusion temperatures(240℃and 300℃).The extruded alloy obtained ultra-high strength(yield strength=380 MPa,ultimate tensile strength=418 MPa)and excellent plasticity(elongation=10.2%)at the extrusion temperature of 240℃,the main contributing factors are primarily attributed to the synergistic effect of ultrafine recrystallized grain size(~0.5µm)and high density of Mg_(3)Bi_(2)precipitates.Stacking faults within the sub-micron Mg_(3)Bi_(2)phase are observed in the E240 alloy,confirming the plastic deformation capability of Mg_(3)Bi_(2)phase.The effects of extrusion temperature on the microstructure,mechanical properties,and work-hardening behavior of the extruded Mg-5Bi-3Al alloys at room temperature are systematically investigated.The results suggest that decreasing the extrusion temperature can refine recrystallized grain size and Mg_(3)Bi_(2)phase size,and the quantity of Mg_(3)Bi_(2)phase is increased,while increasing the extrusion temperature can improve the degree of recrystallization and weaken texture.The work hardening rate is increased with the increased extrusion temperature,mainly due to the coarsening of grains and precipitates,and the weakening of texture.This work provides an experimental basis for preparing high-performance wrought Mg-5Bi-3Al alloys.
基金supported by the National Key R&D Program of China(Grant No.2019YFE0115700).
文摘The National Strong-Motion Observation Network System of China has collected over 12 000 strong-motion recordings from 2007 to December 2020.This study assembled the source-related metadata of 1 920 earthquakes associated with assembled well-processed recordings of China.The earthquake basic information,focal mechanisms,and the fault geometry were collected from various institutes and literature.We recommended the MWvalues for 900 earthquakes,the fault types for 1 064 earthquakes,and the fault geometries for 18 large earthquakes.We also performed the statistical analysis for establishing the empirical conversions of MW-MS,and ML,and providing the empirical relationships between MWand ruptured area,aspect ratio,respectively.Moreover,the ruptured fault geometries of large earthquakes were used to preliminarily divide all earthquakes considered into 1 141 mainshocks,and 779 aftershocks.The finite-fault distances(RJBand Rrup) of strong-motion recordings from the 18 large earthquakes were calculated,and then used to yield the statistic relationships between the point-source distances(Repiand Rhyp) and finite-fault distances.We finally provided the earthquake source database freely accessible at website.The source-related metadata can be directly applied to develop the ground motion prediction equations of China.
基金This study was supported by the Inner Mongolia Science and Technology Department Science and Technology Research Project(No.2021GG0270)National Natural Science Foundation of China(81860534)+5 种基金Natural Science Foundation of Inner Mongolia(2021MS08152)Program for Young Talents of Science and Technology in Universities of Inner Mongolia Autonomous Region(NJYT22004)Scientific and Technological Innovative Research Team for Inner Mongolia Medical University of Transformation Application of Organoid in Medical and Industrial Interdiscipline(YKD2022TD002)Major Project of Inner Mongolia Medical University(YKD2022 ZD002)Radiobiology System and Team Construction of Radiotherapy for Inner Mongolia Medical University(YKD2022XK014)Key Laboratoy of Radiation Physics and Biology of Inner Mongolia Medical University(PIKY2023030).
文摘Long non-coding RNAs(lncRNAs)have been implicated in cancer progression and drug resistance development.Moreover,there is evidence that lncRNA HOX transcript antisense intergenic RNA(HOTAIR)is involved in colorectal cancer(CRC)progression.The present study aimed to examine the functional role of lncRNA HOTAIR in conferring radiotherapy resistance in CRC cells,as well as the underlying mechanism.The relative expression levels of HOTAIR were examined in 70 pairs of CRC tumor and para-cancerous tissues,as well as in radiosensitive and radioresistant samples.The correlations between HOTAIR expression levels and clinical features of patients with CRC were assessed using the Chi-square test.Functional assays such as cell proliferation,colony formation and apoptosis assays were conducted to determine the radiosensitivity in CRC cells with HOTAIR silencing after treatment with different doses of radiation.RNA pull-down assay andfluorescence in situ hybridization(FISH)were used to determine the interaction between HOTAIR and DNA damage response mediator ataxia-telangiectasia mutated-and Rad3-related(ATR).HOTAIR was significantly upregulated in CRC tumor tissues,especially in radioresistant tumor samples.The elevated expression of HOTAIR was correlated with more advanced histological grades,distance metastasis and the poor prognosis in patients with CRC.Silencing HOTAIR suppressed the proliferation and promoted apoptosis and radiosensitivity in CRC cells.HOTAIR knockdown also inhibited the tumorigenesis of CRC cells and enhanced the sensitivity to radiotherapy in a mouse xenograft model.Moreover,the data showed that HOTAIR could interact with ATR to regulate the DNA damage repair signaling pathway.Silencing HOTAIR impaired the ATR-ATR interacting protein(ATRIP)complex and signaling in cell cycle progression.Collectively,the present results indicate that lncRNA HOTAIR facilitates the DNA damage response pathway and promotes radioresistance in CRC cells by targeting ATR.
基金Supported by Project of Science and Technology Department of Jiangxi Province(20121BBF60031)
文摘Dried seaweed powder was used as the raw material to extract polysaccharides by ethanol precipitation after water bath. Extraction temperature, extrac- tion duration, solution pH and solid to liquid ratio were selected as technical parameters which required to be optimized. With the extraction rate of seaweed poly- saccharides as an index, single-factor experiment and orthogonal experiment were carried out to determine the optimal extraction technique. Seaweed polysaceharides were extracted with the optimal technical parameters to analyze the biological activities. Savage method was used to process seaweed polysaceharide extract. In vitro biological activities of preliminarily purified seaweed polysaeeharides were investigated successively, including reducing ability, antioxidant ability and antibacterial activity. The results showed that there was a positive correlation between polysaccharide concentration and its reducing ability, antioxidant ability and antibacterial activity. Furthermore, there was also a correlation among the reducing ability, antioxidant ability and antibacterial activity of seaweed polysaecharides; the relation- ship between each two of these three indicators was similar to positive linear correlation.
文摘The comparison was conducted to investigate the higher extraction rate between two methods including alcohol deposition with acid hydrolysis and micro- wave-assistant extraction technique. The experimental results showed that the former method led to a better extraction effect. For the method of alcohol deposition with acid hydrolysis, the technique parameters were optimized through I.s （34 ） orthogonal e^periment based on the results of single factor experiments, after investi- gated the effect of solid to liquid ratio, pH, extraction temperature and extraction time on the pectin extraction rate. tersrm technique was employed to extract pectin. The selected parameter was obtained by means On the basis of the optimal technical parmne- of L16 （45） orthogonal experiment after studied the effect of solid to liquid ratio, extraction temperature, microwave treatment period, pH and microwave power on pectin extraction yield. Repetitive examinations of two methods were carried out separately, pectin extraction rate with the fLrst technique was 14.57% and that with the second method was 11.62%. The charac- teristics of the pectin sample prepared by alcohol deposition with acid hydrolysis were further investigated. The research demonstrated that mass percent of pectin was 87.23%. The esterification degree of pectin was 75.66% ,and pectin sample color was from creamy white to pale yellow.
文摘[ Objective ] This study aimed to optimize the extraction technology for rice bran oil. [ Method ] Using rice bran as raw material, effects of ultrasonicassisted extraction technology and different organic solvents, extraction durations, solid-liquid ratios and extraction temperatures on extraction results of rice bran oil were investigated. Based on the results of single-factor experiment, L9 （34 ） orthngonal experiment with three factors at three levels was conducted to optimize the extraction technological parameters, thus obtaining the optimal technological conditions for extracting rice bran oil. [ Result] Anhydrous ethanol led to the best extraction result; after ultrasonic treatment, the extraction rate of rice bran oil from raw material was not enhanced. The optimized technological parameters were ： extraction temperature of 80 ℃, extraction duration of 20 rain and solid-liquid ratio of 1：24 （ g： ml）. Under the optimized technological conditions, the extraction rate of rice bran oil reached 19.33%. [ Conclusion] This study laid solid foundation for further investigation and development of rice bran oil.
基金Supported by Project of Education Department of Jiangxi Province(JXJG-08-4-27)
文摘In this study, pectin was extracted from grapefruit peels with hydrochloric acid and precipitated with 95% ethanol solution and 5% tartaric acid. The physical and chemical properties of pectin obtained were analyzed, including color, texture, degree of esterification, and water solubility. The effects of peel to sol- vent ratio, pH of the solvent, extraction temperature and extraction duration on pectin extraction rate were investigated. On the basis of single-factor experiments, an L9 （34） orthogonal experiment was performed to screen the optimal extraction conditions. According to the results, the optimal combination of technical parame- ters was A1B3 C1 D3, i. e. , solid to liquid ratio 1：40 （g： ml）, pH 2.0, extraction duration 70 rain, extraction temperature 90 ℃. The average pectin extraction rate was 68.60% ; the color of pectin extracted under the optimal conditions varied from milky white to light yellow; the degree of esterification of pectin extracts was 65. 71% ; the extracted pectin exhibited good water solubility. Key words Pomelo peel; Pectin extraction; Optimum conditions; Esterification degree; Water solubility
基金Supported by Education Reform Project of Jiangxi Province(No.JXJG-20084-27)
文摘[ Objective] This study aimed to investigate enzymatic hydrolysis technology of glutinous rice and the oxidation resistance activity of the enzymatic hydrolysis solution. [ Method ] White glutinous rice was hydrolyzed using four kinds of proteases including neutral protease, alkaline protease, papain and trypsin. Using the scavenging rate of hydroxyl radical （ ·OH） as an indicator and appropriate protease as hydrolytic enzyme, the effects of protein substrate concentration, enzyme dosage, enzymatic hydrolysis temperature and initial pH on the abilities of proteases to scavenge hydroxyl radical from enzymatic hydrolysis solution of glutinous rice were investigated. Based on single-factor test, L9 （34） orthogonal experimental design was adopted, to determine the optimal enzymatic hydrolysis condi- tions leading to the highest oxidation resistance activity of enzymatic hydrolysis solution. [ Result] The optimized process parameters for enzymatic hydrolysis of glu- tinous rice protein with neutral protease were： protein substrate concentration of 2%, enzyme dosage of 24 000 U/g protein （protein meter）, enzymatic hydrolysis temperature of 55 ℃, initial pH of 8.0, and enzymatic hydrolysis duration of 0.5 h; under these conditions, the hydroxyl radical scavenging rate could reach 56. 05% ; protein substrate concentration, enzyme dosage, enzymatic hydrolysis temperature and initial pH had extremely significant effects on the hydroxyl radical scavenging rate. In addition, the activities of antioxidant peptides in glutinous rice hydrolysates were well maintained within a temperature range of 60 - 100℃. [Condusion] The study produced theoretical feasibility reference for the production of functional base powder by spray drying.
基金supported by following fundings:Beijing Natural Science Foundation(Grant No.JQ24045)Capital's Funds for Health Improvement and Research(Grant No.2024-2-40211)+3 种基金Beijing Nova Program(Grant No.20220484210).Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences(2023-JKCS-07)Beijing Hope Run Special Fund of Cancer Foundation of China(LC2022L02)CAMS Innovation Fund for Medical Sciences(CIFMS)(2021-I2M-1-066)CAMS Innovation Fund for Medical Sciences(CIFMS)(2023-I2M-C&T-B-083).
文摘1 Main text,In a recent study,Shixiang Wang and colleagues developed a machine learning-based computational framework called GCAP to detect ecDNA amplification directly from whole-exome sequencing(WES)data,and revealed clinical implications of ecDNA in TCGA pancancer study,colorectal cancer subtyping and immunotherapy response[1].In this commentary,we highlight the key findings and provide our insights into paradigm for real-world clinical ecDNA cancer investigation,as well as potential alterations in commentary for tumor diagnostics and therapy strategy(Fig.1).
基金funded by the National Natural Science Foundation of China(31972592)Ningxia Key Project of Research and Development Plan(2023BFC01036)the Shaanxi Outstanding Youth Fund project(2024JC-JCQN-25).
文摘To elucidate the molecular mechanisms by which choline regulates hepatic lipid metabolism under negative energy balance conditions,we established non-esterified fatty acid(NEFA)-induced hepatic steatosis models in both calf primary hepatocytes and human LO2 hepatocytes.Choline supplementation significantly reduced intracellular triglyceride accumulation and cytotoxicity induced by NEFA exposure.Transcriptomic profiling identified glycine N-methyltransferase(GNMT)as a key differentially expressed gene.Subsequent experiments confirmed that choline upregulated GNMT expression at both the mRNA and protein levels in a concentration-dependent manner.Knockdown of GNMT reversed the beneficial effects of choline on genes related to lipid synthesis(FAS,ACC),fatty acid oxidation(CPT1),lipoprotein assembly(ApoB100,MTTP),and bile acid metabolism(CYP7A1,CYP27A1,BSEP).Furthermore,inhibition of AMP-activated protein kinase(AMPK)reduced GNMT protein expression and elevated Myc,a negative transcriptional regulator of GNMT,suggesting that choline may regulate GNMT through the AMPK/Myc axis.Collectively,our findings demonstrate that choline alleviates NEFA-induced lipid accumulation and hepatocellular damage by modulating lipid and bile acid metabolism through GNMT,with the AMPK/Myc/GNMT signaling axis playing a pivotal regulatory role.These results provide mechanistic insights into the hepatic protective effects of choline and suggest GNMT as a potential therapeutic target for metabolic disorders in dairy cows and beyond.
基金funded by the National Natural Science Foundation of China(31972592)Ningxia Key Project of Research and Development Plan(2023BFC01036)the Shaanxi Outstanding Youth Fund project(2024JC-JCQN-25).
文摘This review summarizes the mechanisms of hepatic glycolipid metabolism disorders caused by the negative energy balance encountered in periparturient dairy cows and the relevant research on nutritional additives as a therapeutic option.Factors such as dietary management,hormonal regulation,and overall metabolic stress in the body of the transition cow all contribute greatly to fatty liver formation.Nutritional strategies,such as using gluconeogenic precursors,growth factor,natural plant extracts,and methyl donors can positively modulate the negative effects of fatty liver in periparturient dairy cows.Choline,a methyl donor as a feed additive in transition cows minimizes lipid accumulation in the liver by increasing the efficiency of lipoprotein transport.In conclusion,the disruption of hepatic gluconeogenesis,changes in hormone levels,oxidative stress,and endoplasmic reticulum stress during the transition period in dairy cows collectively disturb hepatic anabolic homeostasis.This disruption promotes the formation of fatty liver and reduces lactation performance in dairy cows.Understanding the specific physiological phenomena of hepatic lipid metabolism disorders in transition cows and intervening with nutritional additives will reduce the negative effects of transition stress and improve animal health.
基金This work was supported by the Natural Science Foundation of Chongqing,China(Nos.cstc2018jcyjAX0632 and cstc2019jcyj-bshX0043)the High-end Foreign Expert Introduction program(No.G20190022002)+1 种基金Chongqing Engineering Research Center of Disaster Prevention&Control for Banks and Structures in Three Gorges Reservoir Area(Nos.SXAPGC18ZD01 and SXAPGC18YB03)The financial support is gratefully acknowledged.The monitored data and historical records used in this study is from the Chinese National Field Scientific Observation Station of Landslide in The Yangtze Threc Gorges.
文摘Landslide is a common geological hazard in reservoir areas and may cause great damage to local residents’life and property.It is widely accepted that rainfall and periodic variation of water level are the two main factors triggering reservoir landslides.In this study,the Bazimen landslide located in the Three Gorges Reservoir(TGR)was back-analyzed as a case study.Based on the statistical features of the last 3-year monitored data and field instrumentations,the landslide susceptibility in an annual cycle and four representative periods was investigated via the deterministic and probabilistic analysis,respectively.The results indicate that the fluctuation of the reservoir water level plays a pivotal role in inducing slope failures,for the minimum stability coefficient occurs at the rapid decline period of water level.The probabilistic analysis results reveal that the initial sliding surface is the most important area influencing the occurrence of landslide,compared with other parts in the landslide.The seepage calculations from probabilistic analysis imply that rainfall is a relatively inferior factor affecting slope stability.This study aims to provide preliminary guidance on risk management and early warning in the TGR area.
基金supported by Science and Technology Research Program of Chongqing Municipal Education Commission(KJZD-K201900102)Chongqing Construction Science and Technology Plan Project(2019-0045).
文摘Excessive structural forces generated inside tunnel linings could affect the safety and serviceability of tunnels,emphasizing the need to accurately predict the forces acting on tunnel linings during the preliminary design phase.In this study,an anisotropic soil model devel-oped by Norwegian Geotechnical Institute(NGI)based on the Active-Direct shear-Passive concept(NGI-ADP model)was adopted to conduct finite element(FE)analyses.A total of 682 cases were modeled to analyze the effects of five key parameters on twin-tunnel struc-tural forces;these parameters included twin-tunnel arrangements and subsurface soil properties:burial depth H,tunnel center-to-center distance D,soil strength s_(u)^(A),stiffness ratio G_(u)=s_(u)^(A),and degree of anisotropy ss_(u)^(P)=s_(u)^(A).The significant factors contributing to the bending moment and thrust force of the linings were the tunnel distance and overlying soil depth,respectively.The degree of anisotropy of the surrounding soil was found to be extremely important in simulating the twin-tunnel construction,and severe design errors could be made if the soil anisotropy is ignored.A cutting-edge application of machine learning in the construction of twin tunnels is presented;multivariate adaptive regression splines and decision tree regressor methods are developed to predict the maximum bending moment within the first tunnel’s linings based on the constructed FE cases.The developed prediction model can enable engineers to estimate the structural response of twin tunnels more accurately in order to meet the specific target reliability indices of projects.
基金supported by the President Foundation of Nanfang Hospital,Southern Medical University(No.2022A018)Funding by Science and Technology Projects in Guangzhou(No.2024A04J5111)Guangdong Basic and Applied Basic Research Foundation(No.2023A1515111129).
文摘Ferroptosis,a distinct regulated cell death process characterized by iron retention and lipid peroxidation,plays a crucial role in the survival of cancer stem cells(CSCs),key contributors to cancer initiation,progression,and recurrence.CSCs exhibit enhanced iron uptake and altered lipid metabolism,allowing them to evade conventional therapies and persist within the cancer microenvironment.Their resilience is linked to low reactive oxygen species levels,aiding survival under oxidative stress.Key regulatory pathways,including the cystine/glutathione axis,significantly modulate CSCs'sensitivity to ferroptosis by maintaining a balance between antioxidant defenses and pro-oxidative stressors.Targeting ferroptosis in CSCs offers promising therapeutic avenues for enhancing treatment efficacy and overcoming resistance.Strategies such as pharmacological inhibition of the SLC7A11 transporter,which reduces cysteine availability and glutathione levels,can potentiate ferroptosis in CSCs.Additionally,inducing dysregulation of iron metabolism or lipid peroxidation can selectively compromise CSCs'survival.Nanoparticle drug delivery systems that increase intracellular iron and reactive oxygen species levels are proving effective in targeting CSCs with minimal impact on normal cells.Ultimately,a comprehensive understanding of the interplay between ferroptosis and CSCs'biology is essential for developing innovative strategies aimed at eradicating these elusive cells,thereby improving cancer treatment outcomes and reducing recurrence rates.
基金Supported by the National Natural Science Foundation of China(Grant No.42471304)。
文摘Settlements serve as the tangible carriers of civilization,with historic urban blocks reflecting distinct cultural attributes that are essential for analyzing settlement types,exploring urban form characteristics,and refining spatial planning ideologies.Thus,this study focuses on the block as the fundamental morphological unit and introduces a structured research methodology from the typo-morphological perspective,comprising the following stages:Block Morphology Quantification,Block Pattern Types Extraction,Settlement Type Division,and Planning Ideology Discussion.This methodology can efficiently enhance the understanding of morphology and planning ideologies of heritage settlements by applying quantitative approaches to clustering settlements based solely on block pattern.For method validation,37 typical colonial heritage settlements in the Americas is conducted as empirical study through the following process:first,quantifying block morphology;second,identifying block pattern types by K-means clustering;third,applying hierarchical clustering referring to the proportion of block pattern types within each case,resulting in the identification of four categories of"strategic core","corridor node","resource spot"and"overseas new town";lastly,three key planning ideologies-"order","efficiency"and"practicality"—that shaped these settlements are derived from classification results accordingly.As empirical study result,the effectiveness of classifying heritage settlements using block patterns is validated.
基金the support of the Natural Science Foundation of Shanghai (08ZR1407600)Shanghai Rising-Star Program (10QA1402400)+3 种基金Shanghai Educational Development Foundation (2008CG49)Innovation Program of Shanghai Municipal Education Commission (09YZ18)Leading Academic Discipline Project of Shanghai Municipal Education Commission(J50102)the support of ShanghaiUniversity Postgraduate Innovation Project (SHUCX092036)
文摘Ceria nanoparticles with various shapes （rods, cubes, and plates） and sizes were controllably synthesized and then introduced into epoxy resin. Subsequently, we investigated correlations between the shape and size of ceria nanostructures and the mechanical performance of composites. The samples were character- ized by transmission electron microscopy, scanning electron microscopy, and X-ray diffraction. Compared with commercial ceria filled composites, the composites made with morphology-controlled ceria nanos- tructures show a higher impact strength. It is found that epoxy resins made with high-aspect-ratio ceria nanorods show the highest impact strength, up to 17.27 kJ/m2, which is about four times that of the neat epoxy resin.
基金supported by National Natural Science Foundation of China(82003459)the Key Laboratory of Trace Element and Nutrition,National Health Commission of China(WLKFZ202201)The Nutrition Research Foundation Fund of the Chinese Nutrition Society,and the Yum Brands Health Fund(CNS-YUM2020-98).
文摘Background and Objectives:To investigate the relationship between sodium(Na)and potassium(K)nutritional condition and body compositions in youth aiming to give target population reasonable diet recommendations.Methods and Study Design:The cross-sectional study was conducted involving 512 healthy youth aged 18 to 31 years from universities in Beijing.Food frequency questionnaire(FFQ)and bioelectrical impedance analyzer(BIA)were used to collect dietary intake information and body compositions.Results:There was an increasing tendency in fat-related indicators and muscle-related indicators of the dietary Na tertile group(p<0.05).Additionally,Weight,body mass index(BMI),waist circumference(WC),and muscle-related indicators increased with the dietary K tertile group(p<0.05).Across increasing tertiles of dietary Na intake,the odds ratio(OR)was increased significantly(p<0.05)in fat-related indicators.On the contrary,with the increased dietary Na intake,the OR decreased(p<0.05)in appendicular skeletal muscle mass index(ASMI)and body lean mass.As tertiles of dietary K intake increased,the OR in both skeletal muscle mass index(SMMI)and lean mass index(LMI)decreased.Conclusions:High dietary Na is a risk factor for abnormal lipid distribution in college students.High dietary K can maintain skeletal muscle mass and reduce the risk of obesity.Na in the diet has a greater impact on the body composition of young people than K.Low dietary Na and high dietary K still need to be strengthened in science popularization and practice among more college students.
