Birds maintain complex and intimate associations with a diverse community of microbes in their intestine.Multiple invasive and non-invasive sampling methods are used to characterize these communities to answer a multi...Birds maintain complex and intimate associations with a diverse community of microbes in their intestine.Multiple invasive and non-invasive sampling methods are used to characterize these communities to answer a multitude of eco-evolutionary questions related to host-gut microbiome symbioses.However,the comparability of these invasive and non-invasive sampling methods is sparse with contradicting findings.Through performing a network meta-analysis for 13 published bird gut microbiome studies,here we attempt to investigate the comparability of these invasive and non-invasive sampling methods.The two most used non-invasive sampling methods(cloacal swabs and fecal samples)showed significantly different results in alpha diversity and taxonomic relative abundances compared to invasive samples.Overall,non-invasive samples showed decreased alpha diversity compared to intestinal samples,but the alpha diversities of fecal samples were more comparable to the intestinal samples.On the contrary,the cloacal swabs characterized significantly lower alpha diversities than in intestinal samples,but the taxonomic relative abundances acquired from cloacal swabs were similar to the intestinal samples.Phylogenetic status,diet,and domestication degree of host birds also influenced the differences in microbiota characterization between invasive and non-invasive samples.Our results indicate a general pattern in microbiota differences among intestinal mucosal and non-invasive samples across multiple bird taxa,while highlighting the importance of evaluating the appropriateness of the microbiome sampling methods used to answer specific research questions.The overall results also suggest the potential importance of using both fecal and cloacal swab sampling together to properly characterize bird microbiomes.展开更多
Desmans belong to the subfamily Desmaninae,which are members of the family Talpidae.Desmans and moles show limited sexual dimorphism,making unclear sex discrimination by phenotypic assessment.The Iberian desman(Galemy...Desmans belong to the subfamily Desmaninae,which are members of the family Talpidae.Desmans and moles show limited sexual dimorphism,making unclear sex discrimination by phenotypic assessment.The Iberian desman(Galemys pyrenaicus)is an endangered species with a severe population decline.Knowledge of sex and sex ratio is essential for conservation and management.Based on these arguments and although previous conventional PCR studies amplifying DBX/DBY genes were relatively successful in sexing the desman,high-resolution sex-specific PCR has been requested.All these reasons encouraged us to develop new species-specific RT-qPCR assays by TaqMan probes to determine the sex in desman,especially with genetic material from noninvasive samples.Accordingly,efficiency,limit of detection(LOD),specificity,and DNA analysis from faeces were verified.The target genes DBX and DBY were amplified with gDNA from both sexes,with Y-chromosome consistently absent in the female.Despite themodest efficiency,regression analysis(R2>0.999)indicated a linear range of the DBX and DBY assays extending from 20 to 0.2 ng/μL DNA.LOD analyses estimated that twice as much gDNA was needed in males as in females for DBX detection.Paradoxically,the Y-chromosome required three times as much gDNA as the X-chromosome using a male sample.Therefore,an unexpected dosage imbalance in the genome in favour of the X chromosome was discussed in light of an apparent multicopy nature of the DBX gene and with a sexing success rate of 49.9%of the non-invasive samples,supporting Fisher’s principle for the mammalian XX/XY sex system,as expected.展开更多
One of the detection objectives of the Chinese Asteroid Exploration mission is to investigate the space environment near the Main-belt Comet(MBC,Active Asteroid)311P/PANSTARRS.This paper outlines the scientific object...One of the detection objectives of the Chinese Asteroid Exploration mission is to investigate the space environment near the Main-belt Comet(MBC,Active Asteroid)311P/PANSTARRS.This paper outlines the scientific objectives,measurement targets,and measurement requirements for the proposed Gas and Ion Analyzer(GIA).The GIA is designed for in-situ mass spectrometry of neutral gases and low-energy ions,such as hydrogen,carbon,and oxygen,in the vicinity of 311P.Ion sampling techniques are essential for the GIA's Time-of-Flight(TOF)mass analysis capabilities.In this paper,we present an enhanced ion sampling technique through the development of an ion attraction model and an ion source model.The ion attraction model demonstrates that adjusting attraction grid voltage can enhance the detection efficiency of low-energy ions and mitigate the repulsive force of ions during sampling,which is influenced by the satellite's surface positive charging.The ion source model simulates the processes of gas ionization and ion multiplication.Simulation results indicate that the GIA can achieve a lower pressure limit below 10-13Pa and possess a dynamic range exceeding 10~9.These performances ensure the generation of ions with stable and consistent current,which is crucial for high-resolution and broad dynamic range mass spectrometer analysis.Preliminary testing experiments have verified GIA's capability to detect gas compositions such as H2O and N2.In-situ measurements near 311P using GIA are expected to significantly contribute to our understanding of asteroid activity mechanisms,the evolution of the atmospheric and ionized environments of main-belt comets,the interactions with solar wind,and the origin of Earth's water.展开更多
Electro-Optic Sampling(EOS)detection technique has been widely used in terahertz science and tech⁃nology,and it also can measure the field time waveform of the few-cycle laser pulse.Its frequency response and band lim...Electro-Optic Sampling(EOS)detection technique has been widely used in terahertz science and tech⁃nology,and it also can measure the field time waveform of the few-cycle laser pulse.Its frequency response and band limitation are determined directly by the electro-optic crystal and duration of the probe laser pulse.Here,we investigate the performance of the EOS with thin GaSe crystal in the measurement of the mid-infrared few-cycle la⁃ser pulse.The shift of the central frequency and change of the bandwidth induced by the EOS detection are calcu⁃lated,and then the pulse distortions induced in this detection process are discussed.It is found that this technique produces a red-shift of the central frequency and narrowing of the bandwidth.These changings decrease when the laser wavelength increases from 2μm to 10μm.This work can help to estimate the performance of the EOS de⁃tection technique in the mid-infrared band and offer a reference for the related experiment as well.展开更多
BACKGROUND Despite the developments in the field of kidney transplantation,the already existing diagnostic techniques for patient monitoring are considered insufficient.Protein biomarkers that can be derived from mode...BACKGROUND Despite the developments in the field of kidney transplantation,the already existing diagnostic techniques for patient monitoring are considered insufficient.Protein biomarkers that can be derived from modern approaches of proteomic analysis of liquid biopsies(serum,urine)represent a promising innovation in the monitoring of kidney transplant recipients.AIM To investigate the diagnostic utility of protein biomarkers derived from proteomics approaches in renal allograft assessment.METHODS A systematic review was conducted in accordance with PRISMA guidelines,based on research results from the PubMed and Scopus databases.The primary focus was on evaluating the role of biomarkers in the non-invasive diagnosis of transplant-related com-plications.Eligibility criteria included protein biomarkers and urine and blood samples,while exclusion criteria were language other than English and the use of low resolution and sensitivity methods.The selected research articles,were categorized based on the biological sample,condition and methodology and the significantly and reproducibly differentiated proteins were manually selected and extracted.Functional and network analysis of the selected proteins was performed.RESULTS In 17 included studies,58 proteins were studied,with the cytokine CXCL10 being the most investigated.Biological pathways related to immune response and fibrosis have shown to be enriched.Applications of biomarkers for the assessment of renal damage as well as the prediction of short-term and long-term function of the graft were reported.Overall,all studies have shown satisfactory diagnostic accuracy of proteins alone or in combination with conventional methods,as far as renal graft assessment is concerned.CONCLUSION Our review suggests that protein biomarkers,evaluated in specific biological fluids,can make a significant contribution to the timely,valid and non-invasive assessment of kidney graft.展开更多
Critical Height Sampling(CHS)estimates stand volume free from any model and tree form assumptions.Despite its introduction more than four decades ago,CHS has not been widely applied in the field due to perceived chall...Critical Height Sampling(CHS)estimates stand volume free from any model and tree form assumptions.Despite its introduction more than four decades ago,CHS has not been widely applied in the field due to perceived challenges in measurement.The objectives of this study were to compare estimated stand volume between CHS and sampling methods that used volume or taper models,the equivalence of the sampling methods,and their relative efficiency.We established 65 field plots in planted forests of two coniferous tree species.We estimated stand volume for a range of Basal Area Factors(BAFs).Results showed that CHS produced the most similar mean stand volume across BAFs and tree species with maximum differences between BAFs of 5-18m^(3)·ha^(−1).Horizontal Point Sampling(HPS)using volume models produced very large variability in mean stand volume across BAFs with the differences up to 126m^(3)·ha^(−1).However,CHS was less precise and less efficient than HPS.Furthermore,none of the sampling methods were statistically interchangeable with CHS at an allowable tolerance of≤55m^(3)·ha^(−1).About 72%of critical height measurements were below crown base indicating that critical height was more accessible to measurement than expected.Our study suggests that the consistency in the mean estimates of CHS is a major advantage when planning a forest inventory.When checking against CHS,results hint that HPS estimates might contain potential model bias.These strengths of CHS could outweigh its lower precision.Our study also implies serious implications in financial terms when choosing a sampling method.Lastly,CHS could potentially benefit forest management as an alternate option of estimating stand volume when volume or taper models are lacking or are not reliable.展开更多
Gastric cancer(GC),a multifaceted and highly aggressive malignancy,represents challenging healthcare burdens globally,with a high incidence and mortality rate.Although endoscopy,combined with histological examination,...Gastric cancer(GC),a multifaceted and highly aggressive malignancy,represents challenging healthcare burdens globally,with a high incidence and mortality rate.Although endoscopy,combined with histological examination,is the gold stan-dard for GC diagnosis,its high cost,invasiveness,and specialized requirements hinder widespread use for screening.With the emergence of innovative techno-logies such as advanced imaging,liquid biopsy,and breath tests,the landscape of GC diagnosis is poised for radical transformation,becoming more accessible,less invasive,and more efficient.As the non-invasive diagnostic techniques continue to advance and undergo rigorous clinical validation,they hold the promise of sig-nificantly impacting patient outcomes,ultimately leading to better treatment results and improved quality of life for patients with GC.展开更多
Weighted exponential distribution W ED(α,λ)with shape parameterαand scale parameterλpossesses some good properties and can be used as a good fit to survival time data compared to other distributions such as gamma,...Weighted exponential distribution W ED(α,λ)with shape parameterαand scale parameterλpossesses some good properties and can be used as a good fit to survival time data compared to other distributions such as gamma,Weibull,or generalized exponential distribution.In this article,we proved the existence and uniqueness of the maximum likelihood estimator(MLE)of the parameters of W ED(α,λ)in simple random sampling(SRS)and provided explicit expressions for the Fisher information number in SRS.Moreover,we also proved the existence and uniqueness of the MLE of the parameters of W ED(α,λ)in ranked set sampling(RSS)and provided explicit expressions for the Fisher information number in RSS.Simulation studies show that these MLEs in RSS can be real competitors for those in SRS.展开更多
Selection of negative samples significantly influences landslide susceptibility assessment,especially when establishing the relationship between landslides and environmental factors in regions with complex geological ...Selection of negative samples significantly influences landslide susceptibility assessment,especially when establishing the relationship between landslides and environmental factors in regions with complex geological conditions.Traditional sampling strategies commonly used in landslide susceptibility models can lead to a misrepresentation of the distribution of negative samples,causing a deviation from actual geological conditions.This,in turn,negatively affects the discriminative ability and generalization performance of the models.To address this issue,we propose a novel approach for selecting negative samples to enhance the quality of machine learning models.We choose the Liangshan Yi Autonomous Prefecture,located in southwestern Sichuan,China,as the case study.This area,characterized by complex terrain,frequent tectonic activities,and steep slope erosion,experiences recurrent landslides,making it an ideal setting for validating our proposed method.We calculate the contribution values of environmental factors using the relief algorithm to construct the feature space,apply the Target Space Exteriorization Sampling(TSES)method to select negative samples,calculate landslide probability values by Random Forest(RF)modeling,and then create regional landslide susceptibility maps.We evaluate the performance of the RF model optimized by the Environmental Factor Selection-based TSES(EFSTSES)method using standard performance metrics.The results indicated that the model achieved an accuracy(ACC)of 0.962,precision(PRE)of 0.961,and an area under the curve(AUC)of 0.962.These findings demonstrate that the EFSTSES-based model effectively mitigates the negative sample imbalance issue,enhances the differentiation between landslide and non-landslide samples,and reduces misclassification,particularly in geologically complex areas.These improvements offer valuable insights for disaster prevention,land use planning,and risk mitigation strategies.展开更多
Chronic kidney disease(CKD)is a degenerative disorder that affects millions of people throughout the world,causing considerable morbidity and healthcare burden.Frequent blood sampling is the current gold standard for ...Chronic kidney disease(CKD)is a degenerative disorder that affects millions of people throughout the world,causing considerable morbidity and healthcare burden.Frequent blood sampling is the current gold standard for monitoring CKD to evaluate biochemical and mineral indicators.However,there are draw-backs to frequent blood draws,such as pain for patients,the possibility of infe-ction,and higher medical expenses.Saliva-based diagnostics offer advantages such as ease of collection,reduced invasiveness,and improved patient compli-ance.A comprehensive literature review was conducted to analyze studies eva-luating the diagnostic utility of salivary creatinine,urea,calcium,and parathyroid hormone(PTH)in patients with CKD.Various saliva collection methods,inc-luding stimulated and unstimulated approaches,were investigated for efficiency and reliability,and a correlation was shown between serum and salivary crea-tinine,urea,PTH,and calcium levels,indicating their potential as CKD biomar-kers.Despite these promising findings,challenges such as standardization of collection methods,variability in salivary flow rates,and predictive value in association with blood parameters are addressed to ensure clinical applicability.This review explores the potential and challenges of saliva as a non-invasive alternative for CKD diagnostics.展开更多
Flip-flow screens offer unique advantages in grading fine-grained materials.To address inaccuracies caused by sensor vibra-tions in traditional contact measurement methods,we constructed a non-invasive measurement sys...Flip-flow screens offer unique advantages in grading fine-grained materials.To address inaccuracies caused by sensor vibra-tions in traditional contact measurement methods,we constructed a non-invasive measurement system based on electrical and optical sig-nals.A trajectory tracking algorithm for the screen-body was developed to visually measure the kinematics.Employing the principle oflaser reflection for distance measurement,optical techniques were performed to capture the kinematic information of the screen-plate.Ad-ditionally,by using Wi-Fi and Bluetooth transmission of electrical signals,tracer particle tracking technology was implemented to elec-trically measure the kinematic information of mineral particles.Consequently,intelligent fusion and perception of the kinematic informa-tion for the screen-body,screen-plate,and particles in the screening system have been achieved.展开更多
Hyaline Membrane Disease(HMD)in newborns,also known as neonatal respiratory distress syndrome,is a common critical illness in premature infants,with an incidence inversely correlated with gestational age,posing a seri...Hyaline Membrane Disease(HMD)in newborns,also known as neonatal respiratory distress syndrome,is a common critical illness in premature infants,with an incidence inversely correlated with gestational age,posing a serious threat to the life and health of newborns.This paper systematically reviews the core pathogenesis of HMD,focusing on the abnormal metabolism of pulmonary surfactant(PS),genetic factors,immature lung development,and the synergistic effects of inflammatory oxidative stress.It highlights the advances in non-invasive ventilation(NIV)therapy for HMD,including the mechanisms of action,clinical application effects,and optimization strategies of mainstream modalities such as nasal continuous positive airway pressure ventilation(NCPAP),nasal intermittent positive pressure ventilation(NIPPV),and heated humidified high-flow nasal cannula ventilation(HHHFNC).The aim is to provide references for standardized clinical treatment.展开更多
Metabolic dysfunction-associated steatotic liver disease(MASLD)requires accurate liver fibrosis assessment for management.While liver biopsy remains the gold standard,its invasiveness drives demand for non-invasive bi...Metabolic dysfunction-associated steatotic liver disease(MASLD)requires accurate liver fibrosis assessment for management.While liver biopsy remains the gold standard,its invasiveness drives demand for non-invasive biomarkers.This review evaluates blood biomarkers for MASLD fibrosis staging.Established scores(fibrosis-4,non-alcoholic fatty liver disease fibrosis score)offer accessible screening but exhibit variable performance influenced by age,obesity,and comorbidities.Patented panels(e.g.,enhanced liver fibrosis test,FibroMeter)improve accuracy by integrating extracellular matrix or metabolic markers,though context-specific thresholds are essential.Emerging biomarkers like propeptide of type 3 collagen,Mac-2 binding protein glycosylation isomer,epigenetic markers(proliferator-activated receptor-γmethylation),and angiopoietin-like proteins a family of eight glycoproteins show promise but require large-scale validation.Genetic risk scores and multi-omics approaches face generalizability challenges.Integration strategies,such as combining serum biomarkers with liver stiffness measurement via Agile scores,enhance diagnostic precision and reduce indeterminate classifications.Current tools aid risk stratification,but no single biomarker replicates biopsy-level precision.Future efforts must prioritize MASLD-specific diagnostic frameworks,standardized protocols,and multi-modal integration to enhance clinical utility and address MASLD’s growing burden.展开更多
BACKGROUND Internet gaming disorder(IGD)is a growing concern among adolescents and adults,necessitating effective treatment strategies beyond pharmacological interventions.AIM To evaluated the effectiveness of non-inv...BACKGROUND Internet gaming disorder(IGD)is a growing concern among adolescents and adults,necessitating effective treatment strategies beyond pharmacological interventions.AIM To evaluated the effectiveness of non-invasive interventions for treating IGD among adolescents and adults.METHODS A total of 11 randomized controlled trials published between 2020 and 2025 were included in this meta-analysis,encompassing 1208 participants from diverse geographic and cultural contexts.The interventions examined included cognitive behavioral therapy(CBT),internet-based CBT,neurofeedback,virtual reality therapy,abstinence-based programs,and school-based prevention.The primary outcomes assessed were reductions in gaming time and IGD severity.Secondary outcomes included improvements in mood,anxiety,and psychosocial functioning(e.g.,stronger peer relationships,better academic or work performance,and healthier daily-life role fulfillment).RESULTS The pooled standardized mean difference for IGD symptom reduction significantly favored non-invasive interventions(Hedges’g=0.56,95%CI:0.38-0.74,P<0.001),with moderate heterogeneity observed(I2=47%).Subgroup analyses indicated that CBT-based programs,both in-person and online,yielded the strongest effects,particularly when caregiver involvement or self-monitoring was incorporated.Funnel plot asymmetry was minimal,suggesting a low risk of publication bias.CONCLUSION These findings support the efficacy of scalable,low-risk non-invasive interventions as first-line treatment options for IGD,particularly in youth populations.Future studies should prioritize investigating long-term outcomes,comparing the effectiveness of different non-invasive modalities,and developing culturally adaptive delivery methods.展开更多
Task-oriented point cloud sampling aims to select a representative subset from the input,tailored to specific application scenarios and task requirements.However,existing approaches rarely tackle the problem of redund...Task-oriented point cloud sampling aims to select a representative subset from the input,tailored to specific application scenarios and task requirements.However,existing approaches rarely tackle the problem of redundancy caused by local structural similarities in 3D objects,which limits the performance of sampling.To address this issue,this paper introduces a novel task-oriented point cloud masked autoencoder-based sampling network(Point-MASNet),inspired by the masked autoencoder mechanism.Point-MASNet employs a voxel-based random non-overlapping masking strategy,which allows the model to selectively learn and capture distinctive local structural features from the input data.This approach effectively mitigates redundancy and enhances the representativeness of the sampled subset.In addition,we propose a lightweight,symmetrically structured keypoint reconstruction network,designed as an autoencoder.This network is optimized to efficiently extract latent features while enabling refined reconstructions.Extensive experiments demonstrate that Point-MASNet achieves competitive sampling performance across classification,registration,and reconstruction tasks.展开更多
A comprehensive fishery-independent survey generally incorporates various specialized surveys and integrates different survey objectives to maximize benefits while accounting for cost limitations.It is important to ev...A comprehensive fishery-independent survey generally incorporates various specialized surveys and integrates different survey objectives to maximize benefits while accounting for cost limitations.It is important to evaluate the adaptability of the comprehensive survey for different taxon to get the optimal design.However,the validity and adaptability of ichthyoplankton sampling incorporated in a comprehensive fishery-independent survey program in estimating abundance of ichthyoplankton species is little known.This study included ichthyoplankton sampling in an integrated survey and assessed the appropriateness of survey design.The Kriging interpolation based on Gaussian models was used to estimate the values at unsurveyed locations based on the original ichthyoplankton survey data in the Haizhou Bay as the“true”values.The sampling performances of the ongoing stratified random sampling(StRS),simple random sampling(SRS),cluster sampling(CS),hexagonal systematic sampling(SYS h),and regular systematic sampling(SYS r)with different sample sizes in estimating ichthyoplankton abundance were compared in relative estimation error(REE),relative bias(RB),and coefficient of variation(CV)by computer simulation.The ongoing StRS performed better than CS and SRS,but not as good as the two systematic sampling methods,and the current sample size in StRS design was insufficient to estimate ichthyoplankton abundance.The average REE values(meanREE)were significantly smaller in two systematic sampling designs than those in other three sampling designs,and the two systematic sampling designs could maintain good inter-annual stability of sampling performances.It is suggested that incorporating ichthyoplankton survey directly into stratified random fishery-independent surveys could not achieve the desired level of accuracy for survey objectives,but the accuracy can be improved by setting additional stations.The assessment framework presented in this study serves as a reference for evaluating the adaptability of integrated surveys to different objectives in other waters.展开更多
When dealing with imbalanced datasets,the traditional support vectormachine(SVM)tends to produce a classification hyperplane that is biased towards the majority class,which exhibits poor robustness.This paper proposes...When dealing with imbalanced datasets,the traditional support vectormachine(SVM)tends to produce a classification hyperplane that is biased towards the majority class,which exhibits poor robustness.This paper proposes a high-performance classification algorithm specifically designed for imbalanced datasets.The proposed method first uses a biased second-order cone programming support vectormachine(B-SOCP-SVM)to identify the support vectors(SVs)and non-support vectors(NSVs)in the imbalanced data.Then,it applies the synthetic minority over-sampling technique(SV-SMOTE)to oversample the support vectors of the minority class and uses the random under-sampling technique(NSV-RUS)multiple times to undersample the non-support vectors of the majority class.Combining the above-obtained minority class data set withmultiple majority class datasets can obtainmultiple new balanced data sets.Finally,SOCP-SVM is used to classify each data set,and the final result is obtained through the integrated algorithm.Experimental results demonstrate that the proposed method performs excellently on imbalanced datasets.展开更多
In this article,we comment on the article by Peta et al.This study evaluates the diagnostic performance of FibroTest-Actitest,transient elastography,and the fibrosis-4 index against a histological reference.Using the ...In this article,we comment on the article by Peta et al.This study evaluates the diagnostic performance of FibroTest-Actitest,transient elastography,and the fibrosis-4 index against a histological reference.Using the Obuchowski measure,the authors demonstrate that FibroTest and vibration-controlled transient elastography outperform the fibrosis-4 index in detecting fibrosis.Additionally,Actitest offers superior estimation of inflammatory activity compared to conventional biomarkers.Assessing liver fibrosis is crucial for managing autoimmune hepatitis(AIH),yet reliance on invasive liver biopsy remains higher than in other liver diseases.This is partly due to more complex diagnostic criteria for AIH,the lack of standardized scoring for non-invasive testing,and the presence of inflammation,which can lead to falsely elevated results with non-invasive tests.A Bayesian latent class model further supports the reliability of these non-invasive tests,highlighting their potential to complement biopsy,particularly for longterm disease monitoring.These findings underscore the importance of noninvasive diagnostics in optimizing AIH management.展开更多
The sap flow method is widely used to estimate forest transpiration.However,at the individual tree level it has spatiotemporal variations due to the impacts of environmental conditions and spatial relationships among ...The sap flow method is widely used to estimate forest transpiration.However,at the individual tree level it has spatiotemporal variations due to the impacts of environmental conditions and spatial relationships among trees.Therefore,an in-depth understanding of the coupling effects of these factors is important for designing sap flow measurement methods and performing accurate assessments of stand scale transpiration.This study is based on observations of sap flux density(SF_(d))of nine sample trees with different Hegyi’s competition indices(HCIs),soil moisture,and meteorological conditions in a pure plantation of Larix gmelinii var.principis-rupprechtii during the 2021 growing season(May to September).A multifactorial model of sap flow was developed and possible errors in the stand scale sap flow estimates associated with sample sizes were determined using model-based predictions of sap flow.Temporal variations are controlled by vapour pressure deficit(VPD),solar radiation(R),and soil moisture,and these relationships can be described by polynomial or saturated exponential functions.Spatial(individual)differences were influenced by the HCI,as shown by the decaying power function.A simple SF_(d)model at the individual tree level was developed to describe the synergistic influences of VPD,R,soil moisture,and HCI.The coefficient of variations(CV)of the sap flow estimates gradually stabilized when the sample size was>10;at least six sample trees were needed if the CV was within 10%.This study improves understanding of the mechanisms of spatiotemporal variations in sap flow at the individual tree level and provides a new methodology for determining the optimal sample size for sap flow measurements.展开更多
Patients with acute exacerbation of chronic obstructive pulmonary disease(COPD)often suffer from respiratory failure and require respiratory support therapy.High-flow nasal cannula oxygen therapy(HFNC)and non-invasive...Patients with acute exacerbation of chronic obstructive pulmonary disease(COPD)often suffer from respiratory failure and require respiratory support therapy.High-flow nasal cannula oxygen therapy(HFNC)and non-invasive positive pressure ventilation(NIPPV)are commonly used non-invasive respiratory support methods.HFNC can provide precisely heated and humidified high-flow oxygen,reducing dead space and increasing alveolar ventilation.NIPPV can supply stable high-concentration oxygen and improve gas exchange.This article reviews the application of HFNC and NIPPV in the acute exacerbation stage of COPD,aiming to provide references for reasonable clinical selection.展开更多
基金funded by the National Natural Science Foundation of China(31870370)the Key Grant of Guangxi Nature and Science Foundation(2018GXNSFDA281016)。
文摘Birds maintain complex and intimate associations with a diverse community of microbes in their intestine.Multiple invasive and non-invasive sampling methods are used to characterize these communities to answer a multitude of eco-evolutionary questions related to host-gut microbiome symbioses.However,the comparability of these invasive and non-invasive sampling methods is sparse with contradicting findings.Through performing a network meta-analysis for 13 published bird gut microbiome studies,here we attempt to investigate the comparability of these invasive and non-invasive sampling methods.The two most used non-invasive sampling methods(cloacal swabs and fecal samples)showed significantly different results in alpha diversity and taxonomic relative abundances compared to invasive samples.Overall,non-invasive samples showed decreased alpha diversity compared to intestinal samples,but the alpha diversities of fecal samples were more comparable to the intestinal samples.On the contrary,the cloacal swabs characterized significantly lower alpha diversities than in intestinal samples,but the taxonomic relative abundances acquired from cloacal swabs were similar to the intestinal samples.Phylogenetic status,diet,and domestication degree of host birds also influenced the differences in microbiota characterization between invasive and non-invasive samples.Our results indicate a general pattern in microbiota differences among intestinal mucosal and non-invasive samples across multiple bird taxa,while highlighting the importance of evaluating the appropriateness of the microbiome sampling methods used to answer specific research questions.The overall results also suggest the potential importance of using both fecal and cloacal swab sampling together to properly characterize bird microbiomes.
基金supported by the LIFE+Desmania Project(LI-FE11/NAT/ES/000691)Programa para la recuperación y conservación de Galemys pyrenaicus y su hábitat en Castilla y León y Extremadura and the project 0620_BIOTRANS_4_E,which is co-financed by the European Regional Development Fund(FEDER)through the Interreg Cooperation Programme INTERREG V-A Spain-Portugal(POCTEP 2014-2020).
文摘Desmans belong to the subfamily Desmaninae,which are members of the family Talpidae.Desmans and moles show limited sexual dimorphism,making unclear sex discrimination by phenotypic assessment.The Iberian desman(Galemys pyrenaicus)is an endangered species with a severe population decline.Knowledge of sex and sex ratio is essential for conservation and management.Based on these arguments and although previous conventional PCR studies amplifying DBX/DBY genes were relatively successful in sexing the desman,high-resolution sex-specific PCR has been requested.All these reasons encouraged us to develop new species-specific RT-qPCR assays by TaqMan probes to determine the sex in desman,especially with genetic material from noninvasive samples.Accordingly,efficiency,limit of detection(LOD),specificity,and DNA analysis from faeces were verified.The target genes DBX and DBY were amplified with gDNA from both sexes,with Y-chromosome consistently absent in the female.Despite themodest efficiency,regression analysis(R2>0.999)indicated a linear range of the DBX and DBY assays extending from 20 to 0.2 ng/μL DNA.LOD analyses estimated that twice as much gDNA was needed in males as in females for DBX detection.Paradoxically,the Y-chromosome required three times as much gDNA as the X-chromosome using a male sample.Therefore,an unexpected dosage imbalance in the genome in favour of the X chromosome was discussed in light of an apparent multicopy nature of the DBX gene and with a sexing success rate of 49.9%of the non-invasive samples,supporting Fisher’s principle for the mammalian XX/XY sex system,as expected.
基金Supported by the National Natural Science Foundation of China(42474239,41204128)China National Space Administration(Pre-research project on Civil Aerospace Technologies No.D010301)Strategic Priority Research Program of the Chinese Academy of Sciences(XDA17010303)。
文摘One of the detection objectives of the Chinese Asteroid Exploration mission is to investigate the space environment near the Main-belt Comet(MBC,Active Asteroid)311P/PANSTARRS.This paper outlines the scientific objectives,measurement targets,and measurement requirements for the proposed Gas and Ion Analyzer(GIA).The GIA is designed for in-situ mass spectrometry of neutral gases and low-energy ions,such as hydrogen,carbon,and oxygen,in the vicinity of 311P.Ion sampling techniques are essential for the GIA's Time-of-Flight(TOF)mass analysis capabilities.In this paper,we present an enhanced ion sampling technique through the development of an ion attraction model and an ion source model.The ion attraction model demonstrates that adjusting attraction grid voltage can enhance the detection efficiency of low-energy ions and mitigate the repulsive force of ions during sampling,which is influenced by the satellite's surface positive charging.The ion source model simulates the processes of gas ionization and ion multiplication.Simulation results indicate that the GIA can achieve a lower pressure limit below 10-13Pa and possess a dynamic range exceeding 10~9.These performances ensure the generation of ions with stable and consistent current,which is crucial for high-resolution and broad dynamic range mass spectrometer analysis.Preliminary testing experiments have verified GIA's capability to detect gas compositions such as H2O and N2.In-situ measurements near 311P using GIA are expected to significantly contribute to our understanding of asteroid activity mechanisms,the evolution of the atmospheric and ionized environments of main-belt comets,the interactions with solar wind,and the origin of Earth's water.
基金Supported by the National Natural Science Foundation of China(12064028)Jiangxi Provincial Natural Science Foundation(20232BAB201045).
文摘Electro-Optic Sampling(EOS)detection technique has been widely used in terahertz science and tech⁃nology,and it also can measure the field time waveform of the few-cycle laser pulse.Its frequency response and band limitation are determined directly by the electro-optic crystal and duration of the probe laser pulse.Here,we investigate the performance of the EOS with thin GaSe crystal in the measurement of the mid-infrared few-cycle la⁃ser pulse.The shift of the central frequency and change of the bandwidth induced by the EOS detection are calcu⁃lated,and then the pulse distortions induced in this detection process are discussed.It is found that this technique produces a red-shift of the central frequency and narrowing of the bandwidth.These changings decrease when the laser wavelength increases from 2μm to 10μm.This work can help to estimate the performance of the EOS de⁃tection technique in the mid-infrared band and offer a reference for the related experiment as well.
文摘BACKGROUND Despite the developments in the field of kidney transplantation,the already existing diagnostic techniques for patient monitoring are considered insufficient.Protein biomarkers that can be derived from modern approaches of proteomic analysis of liquid biopsies(serum,urine)represent a promising innovation in the monitoring of kidney transplant recipients.AIM To investigate the diagnostic utility of protein biomarkers derived from proteomics approaches in renal allograft assessment.METHODS A systematic review was conducted in accordance with PRISMA guidelines,based on research results from the PubMed and Scopus databases.The primary focus was on evaluating the role of biomarkers in the non-invasive diagnosis of transplant-related com-plications.Eligibility criteria included protein biomarkers and urine and blood samples,while exclusion criteria were language other than English and the use of low resolution and sensitivity methods.The selected research articles,were categorized based on the biological sample,condition and methodology and the significantly and reproducibly differentiated proteins were manually selected and extracted.Functional and network analysis of the selected proteins was performed.RESULTS In 17 included studies,58 proteins were studied,with the cytokine CXCL10 being the most investigated.Biological pathways related to immune response and fibrosis have shown to be enriched.Applications of biomarkers for the assessment of renal damage as well as the prediction of short-term and long-term function of the graft were reported.Overall,all studies have shown satisfactory diagnostic accuracy of proteins alone or in combination with conventional methods,as far as renal graft assessment is concerned.CONCLUSION Our review suggests that protein biomarkers,evaluated in specific biological fluids,can make a significant contribution to the timely,valid and non-invasive assessment of kidney graft.
文摘Critical Height Sampling(CHS)estimates stand volume free from any model and tree form assumptions.Despite its introduction more than four decades ago,CHS has not been widely applied in the field due to perceived challenges in measurement.The objectives of this study were to compare estimated stand volume between CHS and sampling methods that used volume or taper models,the equivalence of the sampling methods,and their relative efficiency.We established 65 field plots in planted forests of two coniferous tree species.We estimated stand volume for a range of Basal Area Factors(BAFs).Results showed that CHS produced the most similar mean stand volume across BAFs and tree species with maximum differences between BAFs of 5-18m^(3)·ha^(−1).Horizontal Point Sampling(HPS)using volume models produced very large variability in mean stand volume across BAFs with the differences up to 126m^(3)·ha^(−1).However,CHS was less precise and less efficient than HPS.Furthermore,none of the sampling methods were statistically interchangeable with CHS at an allowable tolerance of≤55m^(3)·ha^(−1).About 72%of critical height measurements were below crown base indicating that critical height was more accessible to measurement than expected.Our study suggests that the consistency in the mean estimates of CHS is a major advantage when planning a forest inventory.When checking against CHS,results hint that HPS estimates might contain potential model bias.These strengths of CHS could outweigh its lower precision.Our study also implies serious implications in financial terms when choosing a sampling method.Lastly,CHS could potentially benefit forest management as an alternate option of estimating stand volume when volume or taper models are lacking or are not reliable.
基金Supported by National Natural Science Foundation of China,No.82300451Research Foundation of Wuhan Union Hospital,No.2022xhyn050.
文摘Gastric cancer(GC),a multifaceted and highly aggressive malignancy,represents challenging healthcare burdens globally,with a high incidence and mortality rate.Although endoscopy,combined with histological examination,is the gold stan-dard for GC diagnosis,its high cost,invasiveness,and specialized requirements hinder widespread use for screening.With the emergence of innovative techno-logies such as advanced imaging,liquid biopsy,and breath tests,the landscape of GC diagnosis is poised for radical transformation,becoming more accessible,less invasive,and more efficient.As the non-invasive diagnostic techniques continue to advance and undergo rigorous clinical validation,they hold the promise of sig-nificantly impacting patient outcomes,ultimately leading to better treatment results and improved quality of life for patients with GC.
基金Supported by the National Science Foundation of China(11901236,12261036)Scientific Research Fund of Hunan Provincial Education Department(21A0328)+2 种基金Provincial Natural Science Foundation of Hunan(2022JJ30469)Young Core Teacher Foundation of Hunan Province([2020]43)Provincial Postgraduate Innovation Foundation of Hunan(CX20221113)。
文摘Weighted exponential distribution W ED(α,λ)with shape parameterαand scale parameterλpossesses some good properties and can be used as a good fit to survival time data compared to other distributions such as gamma,Weibull,or generalized exponential distribution.In this article,we proved the existence and uniqueness of the maximum likelihood estimator(MLE)of the parameters of W ED(α,λ)in simple random sampling(SRS)and provided explicit expressions for the Fisher information number in SRS.Moreover,we also proved the existence and uniqueness of the MLE of the parameters of W ED(α,λ)in ranked set sampling(RSS)and provided explicit expressions for the Fisher information number in RSS.Simulation studies show that these MLEs in RSS can be real competitors for those in SRS.
基金supported by Natural Science Research Project of Anhui Educational Committee(2023AH030041)National Natural Science Foundation of China(42277136)Anhui Province Young and Middle-aged Teacher Training Action Project(DTR2023018).
文摘Selection of negative samples significantly influences landslide susceptibility assessment,especially when establishing the relationship between landslides and environmental factors in regions with complex geological conditions.Traditional sampling strategies commonly used in landslide susceptibility models can lead to a misrepresentation of the distribution of negative samples,causing a deviation from actual geological conditions.This,in turn,negatively affects the discriminative ability and generalization performance of the models.To address this issue,we propose a novel approach for selecting negative samples to enhance the quality of machine learning models.We choose the Liangshan Yi Autonomous Prefecture,located in southwestern Sichuan,China,as the case study.This area,characterized by complex terrain,frequent tectonic activities,and steep slope erosion,experiences recurrent landslides,making it an ideal setting for validating our proposed method.We calculate the contribution values of environmental factors using the relief algorithm to construct the feature space,apply the Target Space Exteriorization Sampling(TSES)method to select negative samples,calculate landslide probability values by Random Forest(RF)modeling,and then create regional landslide susceptibility maps.We evaluate the performance of the RF model optimized by the Environmental Factor Selection-based TSES(EFSTSES)method using standard performance metrics.The results indicated that the model achieved an accuracy(ACC)of 0.962,precision(PRE)of 0.961,and an area under the curve(AUC)of 0.962.These findings demonstrate that the EFSTSES-based model effectively mitigates the negative sample imbalance issue,enhances the differentiation between landslide and non-landslide samples,and reduces misclassification,particularly in geologically complex areas.These improvements offer valuable insights for disaster prevention,land use planning,and risk mitigation strategies.
文摘Chronic kidney disease(CKD)is a degenerative disorder that affects millions of people throughout the world,causing considerable morbidity and healthcare burden.Frequent blood sampling is the current gold standard for monitoring CKD to evaluate biochemical and mineral indicators.However,there are draw-backs to frequent blood draws,such as pain for patients,the possibility of infe-ction,and higher medical expenses.Saliva-based diagnostics offer advantages such as ease of collection,reduced invasiveness,and improved patient compli-ance.A comprehensive literature review was conducted to analyze studies eva-luating the diagnostic utility of salivary creatinine,urea,calcium,and parathyroid hormone(PTH)in patients with CKD.Various saliva collection methods,inc-luding stimulated and unstimulated approaches,were investigated for efficiency and reliability,and a correlation was shown between serum and salivary crea-tinine,urea,PTH,and calcium levels,indicating their potential as CKD biomar-kers.Despite these promising findings,challenges such as standardization of collection methods,variability in salivary flow rates,and predictive value in association with blood parameters are addressed to ensure clinical applicability.This review explores the potential and challenges of saliva as a non-invasive alternative for CKD diagnostics.
基金financially supported by ChinaNational Funds for Distinguished Young Scientists(No.52125403)National Natural Science Foundation of China(Nos.52261135540 and 52404303)Science and Tech-nology Plan Special Fund Project of Jiangsu Province,China(No.BZ2024046)。
文摘Flip-flow screens offer unique advantages in grading fine-grained materials.To address inaccuracies caused by sensor vibra-tions in traditional contact measurement methods,we constructed a non-invasive measurement system based on electrical and optical sig-nals.A trajectory tracking algorithm for the screen-body was developed to visually measure the kinematics.Employing the principle oflaser reflection for distance measurement,optical techniques were performed to capture the kinematic information of the screen-plate.Ad-ditionally,by using Wi-Fi and Bluetooth transmission of electrical signals,tracer particle tracking technology was implemented to elec-trically measure the kinematic information of mineral particles.Consequently,intelligent fusion and perception of the kinematic informa-tion for the screen-body,screen-plate,and particles in the screening system have been achieved.
文摘Hyaline Membrane Disease(HMD)in newborns,also known as neonatal respiratory distress syndrome,is a common critical illness in premature infants,with an incidence inversely correlated with gestational age,posing a serious threat to the life and health of newborns.This paper systematically reviews the core pathogenesis of HMD,focusing on the abnormal metabolism of pulmonary surfactant(PS),genetic factors,immature lung development,and the synergistic effects of inflammatory oxidative stress.It highlights the advances in non-invasive ventilation(NIV)therapy for HMD,including the mechanisms of action,clinical application effects,and optimization strategies of mainstream modalities such as nasal continuous positive airway pressure ventilation(NCPAP),nasal intermittent positive pressure ventilation(NIPPV),and heated humidified high-flow nasal cannula ventilation(HHHFNC).The aim is to provide references for standardized clinical treatment.
基金Supported by the National Natural Science Foundation of China,No.82402719Sichuan Science and Technology Program,No.2025ZNSFSC1553.
文摘Metabolic dysfunction-associated steatotic liver disease(MASLD)requires accurate liver fibrosis assessment for management.While liver biopsy remains the gold standard,its invasiveness drives demand for non-invasive biomarkers.This review evaluates blood biomarkers for MASLD fibrosis staging.Established scores(fibrosis-4,non-alcoholic fatty liver disease fibrosis score)offer accessible screening but exhibit variable performance influenced by age,obesity,and comorbidities.Patented panels(e.g.,enhanced liver fibrosis test,FibroMeter)improve accuracy by integrating extracellular matrix or metabolic markers,though context-specific thresholds are essential.Emerging biomarkers like propeptide of type 3 collagen,Mac-2 binding protein glycosylation isomer,epigenetic markers(proliferator-activated receptor-γmethylation),and angiopoietin-like proteins a family of eight glycoproteins show promise but require large-scale validation.Genetic risk scores and multi-omics approaches face generalizability challenges.Integration strategies,such as combining serum biomarkers with liver stiffness measurement via Agile scores,enhance diagnostic precision and reduce indeterminate classifications.Current tools aid risk stratification,but no single biomarker replicates biopsy-level precision.Future efforts must prioritize MASLD-specific diagnostic frameworks,standardized protocols,and multi-modal integration to enhance clinical utility and address MASLD’s growing burden.
基金Supported by Basic Science Research Program through the National Research Foundation of Korea(NRF)Funded by the Ministry of Education,No.NRF-RS-2023-00237287.
文摘BACKGROUND Internet gaming disorder(IGD)is a growing concern among adolescents and adults,necessitating effective treatment strategies beyond pharmacological interventions.AIM To evaluated the effectiveness of non-invasive interventions for treating IGD among adolescents and adults.METHODS A total of 11 randomized controlled trials published between 2020 and 2025 were included in this meta-analysis,encompassing 1208 participants from diverse geographic and cultural contexts.The interventions examined included cognitive behavioral therapy(CBT),internet-based CBT,neurofeedback,virtual reality therapy,abstinence-based programs,and school-based prevention.The primary outcomes assessed were reductions in gaming time and IGD severity.Secondary outcomes included improvements in mood,anxiety,and psychosocial functioning(e.g.,stronger peer relationships,better academic or work performance,and healthier daily-life role fulfillment).RESULTS The pooled standardized mean difference for IGD symptom reduction significantly favored non-invasive interventions(Hedges’g=0.56,95%CI:0.38-0.74,P<0.001),with moderate heterogeneity observed(I2=47%).Subgroup analyses indicated that CBT-based programs,both in-person and online,yielded the strongest effects,particularly when caregiver involvement or self-monitoring was incorporated.Funnel plot asymmetry was minimal,suggesting a low risk of publication bias.CONCLUSION These findings support the efficacy of scalable,low-risk non-invasive interventions as first-line treatment options for IGD,particularly in youth populations.Future studies should prioritize investigating long-term outcomes,comparing the effectiveness of different non-invasive modalities,and developing culturally adaptive delivery methods.
基金supported by the National Key Research and Development Program of China(2022YFB3103500)the National Natural Science Foundation of China(62473033,62571027)+1 种基金in part by the Beijing Natural Science Foundation(L231012)the State Scholarship Fund from the China Scholarship Council.
文摘Task-oriented point cloud sampling aims to select a representative subset from the input,tailored to specific application scenarios and task requirements.However,existing approaches rarely tackle the problem of redundancy caused by local structural similarities in 3D objects,which limits the performance of sampling.To address this issue,this paper introduces a novel task-oriented point cloud masked autoencoder-based sampling network(Point-MASNet),inspired by the masked autoencoder mechanism.Point-MASNet employs a voxel-based random non-overlapping masking strategy,which allows the model to selectively learn and capture distinctive local structural features from the input data.This approach effectively mitigates redundancy and enhances the representativeness of the sampled subset.In addition,we propose a lightweight,symmetrically structured keypoint reconstruction network,designed as an autoencoder.This network is optimized to efficiently extract latent features while enabling refined reconstructions.Extensive experiments demonstrate that Point-MASNet achieves competitive sampling performance across classification,registration,and reconstruction tasks.
基金Supported by the National Key R&D Program of China(No.2022YFD2401301)the Special Financial Fund of Spawning Ground Survey in the Bohai Sea and the Yellow Sea from the Ministry of Agriculture and Rural Affairs,China(No.125C0505)。
文摘A comprehensive fishery-independent survey generally incorporates various specialized surveys and integrates different survey objectives to maximize benefits while accounting for cost limitations.It is important to evaluate the adaptability of the comprehensive survey for different taxon to get the optimal design.However,the validity and adaptability of ichthyoplankton sampling incorporated in a comprehensive fishery-independent survey program in estimating abundance of ichthyoplankton species is little known.This study included ichthyoplankton sampling in an integrated survey and assessed the appropriateness of survey design.The Kriging interpolation based on Gaussian models was used to estimate the values at unsurveyed locations based on the original ichthyoplankton survey data in the Haizhou Bay as the“true”values.The sampling performances of the ongoing stratified random sampling(StRS),simple random sampling(SRS),cluster sampling(CS),hexagonal systematic sampling(SYS h),and regular systematic sampling(SYS r)with different sample sizes in estimating ichthyoplankton abundance were compared in relative estimation error(REE),relative bias(RB),and coefficient of variation(CV)by computer simulation.The ongoing StRS performed better than CS and SRS,but not as good as the two systematic sampling methods,and the current sample size in StRS design was insufficient to estimate ichthyoplankton abundance.The average REE values(meanREE)were significantly smaller in two systematic sampling designs than those in other three sampling designs,and the two systematic sampling designs could maintain good inter-annual stability of sampling performances.It is suggested that incorporating ichthyoplankton survey directly into stratified random fishery-independent surveys could not achieve the desired level of accuracy for survey objectives,but the accuracy can be improved by setting additional stations.The assessment framework presented in this study serves as a reference for evaluating the adaptability of integrated surveys to different objectives in other waters.
基金supported by the Natural Science Basic Research Program of Shaanxi(Program No.2024JC-YBMS-026).
文摘When dealing with imbalanced datasets,the traditional support vectormachine(SVM)tends to produce a classification hyperplane that is biased towards the majority class,which exhibits poor robustness.This paper proposes a high-performance classification algorithm specifically designed for imbalanced datasets.The proposed method first uses a biased second-order cone programming support vectormachine(B-SOCP-SVM)to identify the support vectors(SVs)and non-support vectors(NSVs)in the imbalanced data.Then,it applies the synthetic minority over-sampling technique(SV-SMOTE)to oversample the support vectors of the minority class and uses the random under-sampling technique(NSV-RUS)multiple times to undersample the non-support vectors of the majority class.Combining the above-obtained minority class data set withmultiple majority class datasets can obtainmultiple new balanced data sets.Finally,SOCP-SVM is used to classify each data set,and the final result is obtained through the integrated algorithm.Experimental results demonstrate that the proposed method performs excellently on imbalanced datasets.
文摘In this article,we comment on the article by Peta et al.This study evaluates the diagnostic performance of FibroTest-Actitest,transient elastography,and the fibrosis-4 index against a histological reference.Using the Obuchowski measure,the authors demonstrate that FibroTest and vibration-controlled transient elastography outperform the fibrosis-4 index in detecting fibrosis.Additionally,Actitest offers superior estimation of inflammatory activity compared to conventional biomarkers.Assessing liver fibrosis is crucial for managing autoimmune hepatitis(AIH),yet reliance on invasive liver biopsy remains higher than in other liver diseases.This is partly due to more complex diagnostic criteria for AIH,the lack of standardized scoring for non-invasive testing,and the presence of inflammation,which can lead to falsely elevated results with non-invasive tests.A Bayesian latent class model further supports the reliability of these non-invasive tests,highlighting their potential to complement biopsy,particularly for longterm disease monitoring.These findings underscore the importance of noninvasive diagnostics in optimizing AIH management.
基金supported by the Fundamental Research Funds of the Chinese Academy of Forestry(CAFYBB2020QB004)the National Natural Science Foundation of China(41971038,32171559,U20A2085,and U21A2005).
文摘The sap flow method is widely used to estimate forest transpiration.However,at the individual tree level it has spatiotemporal variations due to the impacts of environmental conditions and spatial relationships among trees.Therefore,an in-depth understanding of the coupling effects of these factors is important for designing sap flow measurement methods and performing accurate assessments of stand scale transpiration.This study is based on observations of sap flux density(SF_(d))of nine sample trees with different Hegyi’s competition indices(HCIs),soil moisture,and meteorological conditions in a pure plantation of Larix gmelinii var.principis-rupprechtii during the 2021 growing season(May to September).A multifactorial model of sap flow was developed and possible errors in the stand scale sap flow estimates associated with sample sizes were determined using model-based predictions of sap flow.Temporal variations are controlled by vapour pressure deficit(VPD),solar radiation(R),and soil moisture,and these relationships can be described by polynomial or saturated exponential functions.Spatial(individual)differences were influenced by the HCI,as shown by the decaying power function.A simple SF_(d)model at the individual tree level was developed to describe the synergistic influences of VPD,R,soil moisture,and HCI.The coefficient of variations(CV)of the sap flow estimates gradually stabilized when the sample size was>10;at least six sample trees were needed if the CV was within 10%.This study improves understanding of the mechanisms of spatiotemporal variations in sap flow at the individual tree level and provides a new methodology for determining the optimal sample size for sap flow measurements.
基金2022 Inner Mongolia Autonomous Region Health and Wellness Science and Technology Program Project(Project No.:202201533)。
文摘Patients with acute exacerbation of chronic obstructive pulmonary disease(COPD)often suffer from respiratory failure and require respiratory support therapy.High-flow nasal cannula oxygen therapy(HFNC)and non-invasive positive pressure ventilation(NIPPV)are commonly used non-invasive respiratory support methods.HFNC can provide precisely heated and humidified high-flow oxygen,reducing dead space and increasing alveolar ventilation.NIPPV can supply stable high-concentration oxygen and improve gas exchange.This article reviews the application of HFNC and NIPPV in the acute exacerbation stage of COPD,aiming to provide references for reasonable clinical selection.
