Silicon(Si)is a promising high-capacity anode in lithium-ion batteries but suffers from chronic chemical degradation and capacity fading during calendar aging,greatly hindering its automobile applications.Electrolyte ...Silicon(Si)is a promising high-capacity anode in lithium-ion batteries but suffers from chronic chemical degradation and capacity fading during calendar aging,greatly hindering its automobile applications.Electrolyte engineering currently relies on conventional evaluation criteria of reducing coulombic consumption,which implicitly presume its equivalence to irreversible capacity loss and complicates battery development.We introduce the detrimental ratioρto quantify the fraction of parasitic species that permanently degrades active material.This metric is independent and crucially complements total coulombic consumption for accurate performance evaluation.We systematically investigate multiple electrolyte formulations using high-precision leakage current measurements,open-circuit-voltage experiments,and post-mortem characterizations.Although some electrolytes exhibit similarly low coulombic consumption,they diverge significantly in capacity retention andρ.Especially,dimethyl-carbonate-based localized-high concentration electrolyte can synergically achieve low coulombic consumption and detrimental ratioρduring calendar aging,owing to its chemically inert and structurally resilient solidelectrolyte interface with minimal isolated Si material.By contrast,increasing fluoroethylene carbonate(FEC)additive content suppresses electrolyte breakdown but suffers aggravated chemical degradation of more LixSi isolation for irreversible capacity loss with a risingρ.This study critically reveals that the chemistry-characteristic detrimental ratioρestablishes physically informed performance evaluation to pave the way for accelerating battery development.展开更多
Objective:This study aimed to evaluate the associations of baseline income,cumulative income exposure,and income volatility with the incidence of pancreatic and biliary tract cancers in a nationwide Korean cohort.Meth...Objective:This study aimed to evaluate the associations of baseline income,cumulative income exposure,and income volatility with the incidence of pancreatic and biliary tract cancers in a nationwide Korean cohort.Methods:We analyzed 3,361,091 adults aged 30-65 years who underwent the 2012 National Health Insurance Service(NHIS)health screening.Income level was derived from insurance premium data assessed over the five years preceding baseline(2008-2012)and categorized into baseline income quartiles,cumulative exposure to low or high income,and income volatility based on annual percentage changes.Incident pancreatic and biliary tract cancers were identified using diagnostic codes and the copayment reduction registry.Associations were evaluated using Cox proportional hazards models with adjustment for demographic,lifestyle,and clinical covariates,and cumulative incidence was compared using Kaplan-Meier curves.Results:During a median follow-up of 9.6 years,14,469 pancreatic cancers and 6,647 biliary tract cancers were newly diagnosed.Lower baseline income was associated with a higher risk of pancreatic and biliary tract cancers,whereas sustained high-income exposure was associated with reduced risk.Cumulative low-income exposure showed a positive linear trend with pancreatic cancer incidence.Income volatility was modestly associated with pancreatic cancer and was positively associated with biliary tract cancer in the fully adjusted model.These associations were generally consistent across subgroups,with a stronger inverse association between prolonged high-income exposure and pancreatic cancer among individuals without diabetes.Conclusions:Income level and income stability were significantly associated with the incidence of pancreatic and biliary tract cancers.Lower baseline income was associated with higher risk,whereas sustained high-income exposure was protective.Income volatility was associated with increased cancer risk,particularly for biliary tract cancer.These findings highlight the importance of incorporating income dynamics into cancer prevention strategies and addressing socioeconomic instability among vulnerable populations.展开更多
While numerous allometric models exist for estimating biomass in trees with single stems,models for multi-stemmed species are scarce.This study presents models for predicting aboveground biomass(AGB)in European hazel(...While numerous allometric models exist for estimating biomass in trees with single stems,models for multi-stemmed species are scarce.This study presents models for predicting aboveground biomass(AGB)in European hazel(Corylus avellana L.),growing in multi-stemmed shrub form.We measured the size and harvested the biomass of 30 European hazel shrubs,drying and weighing their woody parts and leaves separately.AGB(dry mass)and leaf area models were established using a range of predictors,such as the upper height of the shrub,number of shoots per shrub,canopy projection area,stem base diameter of the thickest stem,and the sum of cross-sectional areas of all stems at the stem base.The latter was the best predictor of AGB,but the most practically useful variables,defined as relatively easy to measure by terrestrial or aerial approaches,were the upper height of the shrub and the canopy projection area.The leaf biomass to AGB ratio decreased with the shrub's height.Specific leaf area of shaded leaves increases with shrub height,but that of leaves at the top of the canopy does not change significantly.Given that the upper shrub height and crown projection of European hazel can be estimated using remote sensing approaches,especially UAV and LIDAR,these two variables appear the most promising for effective measurement of AGB in hazel.展开更多
Heart transplantation is a life-saving procedure for many people throughout the world.Data shows that in 2024,there was an increase in the volume of adult heart transplantation in the United States even as there was a...Heart transplantation is a life-saving procedure for many people throughout the world.Data shows that in 2024,there was an increase in the volume of adult heart transplantation in the United States even as there was a decrease in the volume of pediatric heart transplantation to the lowest volume in a decade.Organ availability remains a major limiting factor affecting transplant volume.This mandates that innovation must take place to increase the supply of donor organs.While some strategies such as donation after cardiac death,hepatitis C virus+transplantation,and ABO-incompatible transplantation have increased the pool for donation,it still falls short of meeting the demand.Other proposed strategies include splitting the donor heart to provide multiple partial heart transplants,domino partial heart transplantation,changes in legislation including opt-out legislation,and xenotransplantation.Further evolution and refinement of these strategies will make a meaningful impact on patients awaiting life-saving heart transplants.展开更多
Advances in skeletal muscle omics has expanded our understanding of exercise-induced adaptations at the molecular level.Over the past 2 decades,transcriptome studies in muscle have detailed acute and chronic responses...Advances in skeletal muscle omics has expanded our understanding of exercise-induced adaptations at the molecular level.Over the past 2 decades,transcriptome studies in muscle have detailed acute and chronic responses to resistance,endurance,and concurrent exercise,focusing on variables such as training status,nutrition,age,sex,and metabolic health profile.Multi-omics approaches,such as the integration of transcriptomic and epigenetic data,along with emerging ribosomal RNA sequencing advancements,have further provided insights into how skeletal muscle adapts to exercise across the lifespan.Downstream of the transcriptome,proteomic and phosphoproteomic studies have identified novel regulators of exercise adaptations,while single-cell/nucleus and spatial sequencing technologies promise to evolve our understanding of cellular specialization and communication in and around skeletal muscle cells.This narrative review highlights(a)the historical foundations of exercise omics in skeletal muscle,(b)current research at 3 layers of the omics cascade(DNA,RNA,and protein),and(c)applications of single-cell omics and spatial sequencing technologies to study skeletal muscle adaptation to exercise.Further elaboration of muscle's global molecular footprint using multi-omics methods will help researchers and practitioners develop more effective and targeted approaches to improve skeletal muscle health as well as athletic performance.展开更多
Remote sensing technologies play a vital role in our understanding of earthquakes and their impact on the Earth's surface.These technologies,including satellite imagery,aerial surveys,and advanced sensors,contribu...Remote sensing technologies play a vital role in our understanding of earthquakes and their impact on the Earth's surface.These technologies,including satellite imagery,aerial surveys,and advanced sensors,contribute significantly to our understanding of the complex nature of earthquakes.This review highlights the advancements in the integration of remote sensing technologies into earthquake studies.The combined use of satellite imagery and aerial photography in conjunction with geographic information systems(GIS)has been instrumental in showcasing the significance of fusing various types of satеllitеdata sourcеs for comprеhеnsivееarthquakеdamagеassеssmеnts.However,remote sensing encounters challenges due to limited pre-event imagery and restricted postearthquake site access.Furthеrmorе,thеapplication of dееp-lеarning mеthods in assеssingеarthquakе-damagеd buildings dеmonstratеs potеntial for furthеr progrеss in this fiеld.Overall,the utilization of remote sensing technologies has greatly enhanced our comprehension of earthquakes and their effects on the Earth's surface.The fusion of remote sensing technology with advanced data analysis methods holds tremendous potential for driving progress in earthquake studies and damage assessment.展开更多
Gastrointestinal(GI)bleeding is a critical and potentially life-threatening condition frequently observed in the intensive care unit(ICU).This literature review consolidates current insights on the epidemiology,etiolo...Gastrointestinal(GI)bleeding is a critical and potentially life-threatening condition frequently observed in the intensive care unit(ICU).This literature review consolidates current insights on the epidemiology,etiology,management,and outcomes of GI bleeding in critically ill patients.GI bleeding remains a significant concern,especially among patients with underlying risk factors such as coagulopathy,mechanical ventilation,and renal failure.Managing GI bleeding in the ICU requires a multidisciplinary approach,including resuscitation,endoscopic intervention,pharmacologic therapy,and sometimes surgical procedures.Even with enhanced management strategies,GI bleeding in the ICU is associated with considerable morbidity and mortality,particularly when complicated by multi-organ failure.This review reiterates the need for adequate resuscitation and interventions in managing GI bleeding in critically ill patients,aiming to enhance survival rates and improve the quality of care within the ICU setting.展开更多
Anthocyanin-rich foliage plants hold important applications in the pharmaceutical industry and the tea sector,beyond their significant ornamental value.These plants also possess biological and ecological importance,co...Anthocyanin-rich foliage plants hold important applications in the pharmaceutical industry and the tea sector,beyond their significant ornamental value.These plants also possess biological and ecological importance,contributing to reproduction,defense against natural enemies,and adaptation to environmental changes.Thus,a deeper understanding of their leaf coloration will be essential for both practical applications and theoretical understanding.The present study comprehensively reviews the factors influencing anthocyanin metabolism,including biosynthesis,transport,degradation,transcription factors(TF_(S)),post-transcriptional regulation,post translation regulation.Next,we summarize the application of omics technologies in unveiling the mechanisms of anthocyanin synthesis in leaves.Furthermore,we review the molecular mechanisms by which environmental factors regulate leaf coloration by inducing anthocyanin biosynthesis.Lastly,the study addresses unresolved issues in the research of plant leaf coloration and proposes future research directions in this field.This study is anticipated to provide a valuable reference for the study of plant leaf coloration.展开更多
Ten physical and environmental variables collected from an on-the-go soil sensor at two field sites (MF3E and MF11S) in Mississippi, USA, were analyzed to assess soil variability and the interrelationships among the m...Ten physical and environmental variables collected from an on-the-go soil sensor at two field sites (MF3E and MF11S) in Mississippi, USA, were analyzed to assess soil variability and the interrelationships among the measurements. At MF3E, moderate variability was observed in apparent electrical conductivity shallow (ECas), slope, and ECa ratio measurements, with coefficients of variation ranging from 20% to 27%. In contrast, MF11S exhibited higher variability, particularly in ECas and ECad (deep) measurements, which exceeded 30% in their coefficient of variation values, indicating significant differences in soil composition and moisture content. Correlation analysis revealed strong positive relationships between the near-infrared-to-red ratio and red reflectance (r = 0.897***) soil values at MF3E. MF11S demonstrated a strong negative correlation between ECas and ECad readings with the x-coordinate (r ***). Scatter plots and fitted models illustrated the complexity of relationships, with many showing nonlinear trends. These findings emphasize the need for continuous monitoring and advanced modeling to understand the dynamic nature of soil properties and their implications for agricultural practices. Future research should explore the underlying mechanisms driving variability in the soil characteristics to enhance soil management strategies at the study sites.展开更多
Basal cell carcinoma(BCC)is the most prevalent form of skin cancer in the world,primarily affecting sun-exposed areas,including the periocular region.When BCC occurs near the eyes,surgical treatment becomes uniquely c...Basal cell carcinoma(BCC)is the most prevalent form of skin cancer in the world,primarily affecting sun-exposed areas,including the periocular region.When BCC occurs near the eyes,surgical treatment becomes uniquely complex.Excess excisions may cause detrimental effects to eyelid function and undesirable aesthetic outcomes.Conversely,adequate resection must occur to prevent further disease progression.Mohs micrographic surgery(MMS),a technique offering high remission rates,is often employed for periocular BCC.This method allows for precise cancer removal while preserving as much healthy tissue as possible,balancing the need for both effective treatment and aesthetic and functional preservation.Following Mohs surgery of periocular BCC,reconstruction methods vary and can be tailored based on the size of the resection and the functional requirements of the affected tissue.Amongst these methods,primary closure with and without secondary intentions,direct margin repair,local flap closure and advance flap,Tenzel flap,tarso-conjunctival flap,periocular skin grafting,and structural grafting are commonly utilized and each has its advantages and limitations.In the future,advancements in synthetic flaps and stabilizing glues in the periocular region may provide additional tools for post-Mohs reconstruction.However,these emerging techniques require further research to establish efficacy and safety,especially in more complex and sensitive regions like the periocular tissues.The primary purpose of this review is to provide a comprehensive analysis of periocular reconstructive techniques following Mohs surgery,comparing their efficacy,functional outcomes,and aesthetic considerations while addressing recent advancements such as synthetic flaps and stabilizing glues to guide clinical decision-making.展开更多
Blast-induced ground vibration,quantified by peak particle velocity(PPV),is a crucial factor in mitigating environmental and structural risks in mining and geotechnical engineering.Accurate PPV prediction facilitates ...Blast-induced ground vibration,quantified by peak particle velocity(PPV),is a crucial factor in mitigating environmental and structural risks in mining and geotechnical engineering.Accurate PPV prediction facilitates safer and more sustainable blasting operations by minimizing adverse impacts and ensuring regulatory compliance.This study presents an advanced predictive framework integrating Cat Boost(CB)with nature-inspired optimization algorithms,including the Bat Algorithm(BAT),Sparrow Search Algorithm(SSA),Butterfly Optimization Algorithm(BOA),and Grasshopper Optimization Algorithm(GOA).A comprehensive dataset from the Sarcheshmeh Copper Mine in Iran was utilized to develop and evaluate these models using key performance metrics such as the Index of Agreement(IoA),Nash-Sutcliffe Efficiency(NSE),and the coefficient of determination(R^(2)).The hybrid CB-BOA model outperformed other approaches,achieving the highest accuracy(R^(2)=0.989)and the lowest prediction errors.SHAP analysis identified Distance(Di)as the most influential variable affecting PPV,while uncertainty analysis confirmed CB-BOA as the most reliable model,featuring the narrowest prediction interval.These findings highlight the effectiveness of hybrid machine learning models in refining PPV predictions,contributing to improved blast design strategies,enhanced structural safety,and reduced environmental impacts in mining and geotechnical engineering.展开更多
Traffic congestion plays a significant role in intelligent transportation systems(ITS)due to rapid urbanization and increased vehicle concentration.The congestion is dependent on multiple factors,such as limited road ...Traffic congestion plays a significant role in intelligent transportation systems(ITS)due to rapid urbanization and increased vehicle concentration.The congestion is dependent on multiple factors,such as limited road occupancy and vehicle density.Therefore,the transportation system requires an effective prediction model to reduce congestion issues in a dynamic environment.Conventional prediction systems face difficulties in identifying highly congested areas,which leads to reduced prediction accuracy.The problem is addressed by integrating Graph Neural Networks(GNN)with the Lion Swarm Optimization(LSO)framework to tackle the congestion prediction problem.Initially,the traffic information is collected and processed through a normalization process to scale the data and mitigate issues of overfitting and high dimensionality.Then,the traffic flow and temporal characteristic features are extracted to identify the connectivity of the road segment.From the connectivity and node relationship graph,modeling improves the overall prediction accuracy.During the analysis,the lion swarm optimization process utilizes the concepts of exploration and exploitation to understand the complex traffic dependencies,which helps predict high congestion on roads with minimal deviation errors.There are three core optimization phases:roaming,hunting,and migration,which enable the framework to make dynamic adjustments to enhance the predictions.The framework’s efficacy is evaluated using benchmark datasets,where the proposed work achieves 99.2%accuracy and minimizes the prediction deviation value by up to 2.5%compared to other methods.With the new framework,there was a more accurate prediction of realtime congestion,lower computational cost,and improved regulation of traffic flow.This system is easily implemented in intelligent transportation systems,smart cities,and self-driving cars,providing a robust and scalable solution for future traffic management.展开更多
Individual tree health plays a vital role in maintaining a forest's ecological functions,including resources for waterfowl and other wildlife.Seasonal flooding due to altered hydrology is a major stressor on indiv...Individual tree health plays a vital role in maintaining a forest's ecological functions,including resources for waterfowl and other wildlife.Seasonal flooding due to altered hydrology is a major stressor on individual tree health in Greentree reservoirs(GTR),impounded bottomland hardwood forests especially less water tolerant species like red oaks(Quercus spp.).We evaluated the health of individual red oak species(n=6,432)in 662 plots across elevation gradients in 12 GTRs within the lower Mississippi Alluvial Valley using two tree health assessment approaches.The first approach assigns tree conditions(i.e.,stressed,moderate,low)based on overall qualitative tree attributes,while the second approach ranks stress,assigning numerical value based on the severity of four distinct qualitative tree attributes(i.e.,tip dieback,epicormics branch,bark condition,basal swell).The result indicated that the highest mean stress rank and the highest proportion of stressed tree conditions were red oak species,nuttall oak(Q.texana;18.59,0.44),willow oak(Q.phellos;18.66,0.38)and cherrybark oak(Q.pagoda;18.90,0.37).Red oak stress is positively correlated to elevation across the landscape(τ=0.10,p<0.001),but is negatively correlated to relative elevation,topographical changes,within each GTR(τ=-0.11,p<0.001).Additionally,the two health assessments are significantly associated(χ^(2)=313.78,df=2,p<0.001)and had a 13.1%misclassification rate.By utilizing the stress rank method for better classification of tree conditions to understand the adverse effect of prolonged flooding on the health of desirable red oak and other native tree species,management practices can be adjusted to improve tree health in GTRs,benefiting both wildlife and economic value.展开更多
A bicuspid aortic valve,from autologous tissue,with growth potential can be constructed using the simple,and reproducible telescoping arterial trunk technique.
Microbes are good sources of biologically active compounds that can be used as pharmaceuticals and agrochemicals. As part of our continuous efforts in search for biopesticides from natural sources, a fungus is isolate...Microbes are good sources of biologically active compounds that can be used as pharmaceuticals and agrochemicals. As part of our continuous efforts in search for biopesticides from natural sources, a fungus is isolated from leaves of Pandanus amaryllifolius that shows severe necrosis. This fungus is cultured in potato dextrose agar and identified as Curvularia intermedia. The ethyl acetate extract of the liquid culture medium is phytotoxic. Identification and bioassay of αβ-dehydrocurvularin (1) and curvularin (2) from this fungus are described. Monoacetyldehydrocurvularin (3), and diacetyldehydrocurvularin (4) are synthesized from 1. Phytoxicity rankings in a variety of bioassays are 1 > 2 > 4 > 3.展开更多
Purpose: The purpose of the current study is to investigate the within-pitcher differences in time series angular velocities of the pelvis, trunk, shoulder, and elbow for high and low velocity fastballs in college bas...Purpose: The purpose of the current study is to investigate the within-pitcher differences in time series angular velocities of the pelvis, trunk, shoulder, and elbow for high and low velocity fastballs in college baseball pitchers.Methods: In-game data were retrospectively analyzed from 82 NCAA Division 1 pitchers([1.89 ± 0.06] m, [92.8± 9.5] kg). Kinematic data were collected using an in-game markerless motion capture system. Time series data of pelvis, trunk, shoulder, and elbow angular velocities for each pitcher’s fastest and slowest fastball were extracted for the pitch cycle(foot contact to ball release) and used for analysis. Within-subject time series comparisons were conducted using statistical parametric mapping(SPM) paired samples t-tests(α = 0.012 5).Results: Each of the tested segments were significantly faster in the fastest fastball trial compared to the slowest fastball trial. The duration of significance in reference to the pitch cycle, test statistic, and p-value, for each segment are as follows: Pelvis: 0%–4%, t = 3.54, p = 0.012;Trunk: 30%–67%, t = 5.62, p < 0.001;Shoulder External Rotation: 3%–50%, t =-6.03, p < 0.001;Shoulder Internal Rotation: 96%–100%, t = 4.11, p = 0.008;Elbow: 75%–86%, t = 4.13, p < 0.001.Discussion: Within-subjects differences exist in time series angular velocities when comparing the fastest and slowest fastball. These time series differences provide additional information to distinguish fastball velocity beyond what discrete metrics can provide. Pitchers should look to rotate each segment faster, and optimize the sequencing of these movements, to increase pitch velocity.展开更多
Steatotic liver disease(SLD)encompasses a group of disorders characterized by the excessive accumulation of fat in the liver.It is classified into four categories based on clinical manifestations:Metabolic dysfunction...Steatotic liver disease(SLD)encompasses a group of disorders characterized by the excessive accumulation of fat in the liver.It is classified into four categories based on clinical manifestations:Metabolic dysfunction-associated SLD(MASLD),metabolic-alcohol-associated liver disease(ALD),ALD,and cryptogenic SLD.In the United States,its prevalence stands at 34.2%,making it the most common cause of cirrhosis and hepatocellular carcinoma(HCC).In addition to factors related to endocrine,nutrition,and medications,several genetic markers have been implicated in the disease's pathogenesis.Notable genes include PNPLA3,TM6SF2,GCKR,MBOAT7 and HSD17B13.These genetic polymorphisms can significantly impact prognosis and disease outcomes.For example,PNPLA3 is the most frequently associated gene with MASLD,increasing the risk of HCC by 12-fold and liver-related mortality by 18-fold.Furthermore,certain genetic markers are more prevalent in specific ethnic groups;for instance,PNPLA3 is common among Hispanics,while TM6SF2 is linked to higher fat content in African Americans.With a better understanding of the genetic factors involved in the pathogenesis of SLD,significant advancements have been made in diagnostics and therapeutics.This review explores the role of genetic factors in the disease's development,discusses current advancements in non-invasive diagnostic modalities,and examines therapeutic improvements based on these genetic insights to achieve better outcomes.展开更多
In developed countries,age-related macular degeneration(AMD)is the main cause of visual impairment in the elderly.Though the etiology of AMD is still unclear,it has been well understood that vascular endothelial growt...In developed countries,age-related macular degeneration(AMD)is the main cause of visual impairment in the elderly.Though the etiology of AMD is still unclear,it has been well understood that vascular endothelial growth factor(VEGF)is involved in the development of aberrant vasculature that represents the neovascular AMD(nAMD).Hence,VEGF inhibition is a more effective way to control nAMD.Pegaptanib,ranibizumab,and aflibercept are three drugs approved by the US Food and Drug Administration(FDA)to treat nAMD.Bevacizumab(an anti-VEGF medication comparable to ranibizumab)is already widely used off label.Existing anti-VEGF medicines are made up of antibodies or pieces of antibodies.Synthetic designed ankyrin repeat proteins(DARPins)imitate antibodies introduced recently by evolutions in bioengineering technology.These agents are designed to have high specificity and affinity to a specific target,smaller molecular size,and better tissue penetration,making them more stable and longer-acting at less concentration.Abicipar pegol(Allergan,Dublin,Ireland)is a DARPin that interlocks all VEGF-A isoforms.It has a greater affinity for VEGF and a longer intraocular half-life than ranibizumab,making it a feasible anti-VEGF agent.This review describes the properties and efficacy of abicipar,the new anti-VEGF agent,in clinical practice,which aims to improve outcomes,safety,and treatment burden of nAMD.展开更多
Background GOSSYM is a mechanistic,process-based cotton model that can simulate cotton crop growth and development,yield,and fiber quality.Its fiber quality module was developed based on controlled experiments explici...Background GOSSYM is a mechanistic,process-based cotton model that can simulate cotton crop growth and development,yield,and fiber quality.Its fiber quality module was developed based on controlled experiments explicitly conducted on the Texas Marker^(-1)(TM1)variety,potentially making its functional equations more aligned with this cultivar.To assess the model’s broader applicability,this study analyzed fiber quality data from 40 upland cotton cultivars,including TM1.The measured fiber quality from all cultivars was then compared with the modelsimulated fiber quality.Results Among the 40 upland cultivars,fiber strength varied from 28.4 cN·tex^(-1) to 34.6 cN·tex^(-1),fiber length ranged from 27.1 mm to 33.3 mm,micronaire value ranged from 2.7 to 4.6,and length uniformity index varied from 82.3%to 85.5%.The model simulated fiber quality closely matched the measured values for TM1,with the absolute percentage error(APE)being less than 0.92%for fiber strength,fiber length,and length uniformity index and 4.7%for micronaire.However,significant differences were observed for the other cultivars.The Pearson correlation coefficient(r)between the measured and simulated values was negative for all fiber quality traits,and Wilmotts’s index of agreement(WIA)was below 0.45,indicating a strong model bias toward TM1 without incorporating cultivar-specific parameters.After incorporating cultivar-specific parameters,the model’s performance improved significantly,with an average r-value of 0.84 and WIA of 0.88.Conclusions The adopted methodology and estimated cultivar-specific parameters improved the model’s simulation accuracy.This approach can be applied to newer cotton cultivars,enhancing the GOSSYM model’s utility and its applicability for agricultural management and policy decisions.展开更多
Wheat grains contain various bioactive substances,of which,condensed tannins(CT)are polymeric flavan-3-ols that accumulate in wheat seed coat influencing the end-use quality and nutritional value.However,the genetic a...Wheat grains contain various bioactive substances,of which,condensed tannins(CT)are polymeric flavan-3-ols that accumulate in wheat seed coat influencing the end-use quality and nutritional value.However,the genetic architecture underlying CT biosynthesis in wheat grain remains unclear.Here,we studied the deposition and genetic regulation of CT in wheat grains,and found that CT deposited specifically in the testa layer of red-grained wheat as catechin-and epicatechin-formed polymers.Genome-wide association study identified 22 genetic loci affecting CT content,one of which,TaTAN,a single dominant gene controlling CT presence,was mapped to chromosome 3A in a segregation population.Further pan-genome analysis,transcriptome profiling and ethyl methanesulfonate induced mutants sequencing revealed a R2R3-MYB transcription factor,TaMYB10-3A,as the causal gene.Three loss-of-function alleles in TaMYB10-3A caused by large fragment inversion-deletion and insertion were identified which abolish both CT deposition and red pigmentation,demonstrating the pleiotropic effect of TaMYB10-3A on CT presence and grain color.TaMYB10-3A directly trans-activates core flavonoid genes such as chalcone synthase and dihydroflavonol 4-reductase to initiate CT biosynthesis.Our investigation provides a comprehensive understanding of CT presence in wheat grains and lays a solid foundation for manipulating CT metabolites to improve wheat grain end-use quality and nutrition values in wheat.展开更多
基金supported by the U.S.Department of Energy(DOE),Office of Energy Efficiency and Renewable Energy(EERE),Vehicle Technologies Office(VTO)under the Silicon Consortium Seedling project received by Z.H.Coperated for the DOE Office of Science by UChicago Argonne,LLC,under Contract DE-AC02-06CH11357+2 种基金Pacific Northwest National Laboratory(PNNL)was supported by the U.S.DOE,Office of Advanced Research Projects Agency-Energy(ARPA-E)under the EVs4ALL Program with the contract number DE-AC05-76RL01830operated by Battelle for the DOE under Contract DE-AC0576RL01830performed at the Oak Ridge National Laboratory(GMV)and supported by U.S.DOE’s VTO under the Silicon Consortium Program received by G.M.V.and directed by Carine Steinway,Nicolas Eidson Thomas,Thomas Do。
文摘Silicon(Si)is a promising high-capacity anode in lithium-ion batteries but suffers from chronic chemical degradation and capacity fading during calendar aging,greatly hindering its automobile applications.Electrolyte engineering currently relies on conventional evaluation criteria of reducing coulombic consumption,which implicitly presume its equivalence to irreversible capacity loss and complicates battery development.We introduce the detrimental ratioρto quantify the fraction of parasitic species that permanently degrades active material.This metric is independent and crucially complements total coulombic consumption for accurate performance evaluation.We systematically investigate multiple electrolyte formulations using high-precision leakage current measurements,open-circuit-voltage experiments,and post-mortem characterizations.Although some electrolytes exhibit similarly low coulombic consumption,they diverge significantly in capacity retention andρ.Especially,dimethyl-carbonate-based localized-high concentration electrolyte can synergically achieve low coulombic consumption and detrimental ratioρduring calendar aging,owing to its chemically inert and structurally resilient solidelectrolyte interface with minimal isolated Si material.By contrast,increasing fluoroethylene carbonate(FEC)additive content suppresses electrolyte breakdown but suffers aggravated chemical degradation of more LixSi isolation for irreversible capacity loss with a risingρ.This study critically reveals that the chemistry-characteristic detrimental ratioρestablishes physically informed performance evaluation to pave the way for accelerating battery development.
基金supported and funded by Korea University Guro Hospital(KOREA RESEARCH-DRIVEN HOSPITAL)(No.O2208261)supported by the Korea University Guro Hospital(KOREA RESEARCH-DRIVEN HOSPITAL)+1 种基金grant funded by Korea University Medicine(No.K2313971)by Korea University。
文摘Objective:This study aimed to evaluate the associations of baseline income,cumulative income exposure,and income volatility with the incidence of pancreatic and biliary tract cancers in a nationwide Korean cohort.Methods:We analyzed 3,361,091 adults aged 30-65 years who underwent the 2012 National Health Insurance Service(NHIS)health screening.Income level was derived from insurance premium data assessed over the five years preceding baseline(2008-2012)and categorized into baseline income quartiles,cumulative exposure to low or high income,and income volatility based on annual percentage changes.Incident pancreatic and biliary tract cancers were identified using diagnostic codes and the copayment reduction registry.Associations were evaluated using Cox proportional hazards models with adjustment for demographic,lifestyle,and clinical covariates,and cumulative incidence was compared using Kaplan-Meier curves.Results:During a median follow-up of 9.6 years,14,469 pancreatic cancers and 6,647 biliary tract cancers were newly diagnosed.Lower baseline income was associated with a higher risk of pancreatic and biliary tract cancers,whereas sustained high-income exposure was associated with reduced risk.Cumulative low-income exposure showed a positive linear trend with pancreatic cancer incidence.Income volatility was modestly associated with pancreatic cancer and was positively associated with biliary tract cancer in the fully adjusted model.These associations were generally consistent across subgroups,with a stronger inverse association between prolonged high-income exposure and pancreatic cancer among individuals without diabetes.Conclusions:Income level and income stability were significantly associated with the incidence of pancreatic and biliary tract cancers.Lower baseline income was associated with higher risk,whereas sustained high-income exposure was protective.Income volatility was associated with increased cancer risk,particularly for biliary tract cancer.These findings highlight the importance of incorporating income dynamics into cancer prevention strategies and addressing socioeconomic instability among vulnerable populations.
基金funded by grants EVA4.0 No.Z.02.1.01/0.0/0.0/16_019/0000803 and ITMS2014+313011W580s provided by EU OP RDEin CZ and SKprojects APVV-18-0086,APVV-19-0387,APVV-20-0168,APVV-20-0215 and APVV-22-0056 from the Slovak Research and Development Agencysupport from the European Research Executive Agency for ReForest,Grant Agreement Nr:101060635
文摘While numerous allometric models exist for estimating biomass in trees with single stems,models for multi-stemmed species are scarce.This study presents models for predicting aboveground biomass(AGB)in European hazel(Corylus avellana L.),growing in multi-stemmed shrub form.We measured the size and harvested the biomass of 30 European hazel shrubs,drying and weighing their woody parts and leaves separately.AGB(dry mass)and leaf area models were established using a range of predictors,such as the upper height of the shrub,number of shoots per shrub,canopy projection area,stem base diameter of the thickest stem,and the sum of cross-sectional areas of all stems at the stem base.The latter was the best predictor of AGB,but the most practically useful variables,defined as relatively easy to measure by terrestrial or aerial approaches,were the upper height of the shrub and the canopy projection area.The leaf biomass to AGB ratio decreased with the shrub's height.Specific leaf area of shaded leaves increases with shrub height,but that of leaves at the top of the canopy does not change significantly.Given that the upper shrub height and crown projection of European hazel can be estimated using remote sensing approaches,especially UAV and LIDAR,these two variables appear the most promising for effective measurement of AGB in hazel.
文摘Heart transplantation is a life-saving procedure for many people throughout the world.Data shows that in 2024,there was an increase in the volume of adult heart transplantation in the United States even as there was a decrease in the volume of pediatric heart transplantation to the lowest volume in a decade.Organ availability remains a major limiting factor affecting transplant volume.This mandates that innovation must take place to increase the supply of donor organs.While some strategies such as donation after cardiac death,hepatitis C virus+transplantation,and ABO-incompatible transplantation have increased the pool for donation,it still falls short of meeting the demand.Other proposed strategies include splitting the donor heart to provide multiple partial heart transplants,domino partial heart transplantation,changes in legislation including opt-out legislation,and xenotransplantation.Further evolution and refinement of these strategies will make a meaningful impact on patients awaiting life-saving heart transplants.
基金supported by National Institutes of Health(NIH)Grants AG063944 and AG080047 to KAM.
文摘Advances in skeletal muscle omics has expanded our understanding of exercise-induced adaptations at the molecular level.Over the past 2 decades,transcriptome studies in muscle have detailed acute and chronic responses to resistance,endurance,and concurrent exercise,focusing on variables such as training status,nutrition,age,sex,and metabolic health profile.Multi-omics approaches,such as the integration of transcriptomic and epigenetic data,along with emerging ribosomal RNA sequencing advancements,have further provided insights into how skeletal muscle adapts to exercise across the lifespan.Downstream of the transcriptome,proteomic and phosphoproteomic studies have identified novel regulators of exercise adaptations,while single-cell/nucleus and spatial sequencing technologies promise to evolve our understanding of cellular specialization and communication in and around skeletal muscle cells.This narrative review highlights(a)the historical foundations of exercise omics in skeletal muscle,(b)current research at 3 layers of the omics cascade(DNA,RNA,and protein),and(c)applications of single-cell omics and spatial sequencing technologies to study skeletal muscle adaptation to exercise.Further elaboration of muscle's global molecular footprint using multi-omics methods will help researchers and practitioners develop more effective and targeted approaches to improve skeletal muscle health as well as athletic performance.
基金funded through an appointment with the Agricultural Research Service,managed by the Oak Ridge Institute for Science and Education。
文摘Remote sensing technologies play a vital role in our understanding of earthquakes and their impact on the Earth's surface.These technologies,including satellite imagery,aerial surveys,and advanced sensors,contribute significantly to our understanding of the complex nature of earthquakes.This review highlights the advancements in the integration of remote sensing technologies into earthquake studies.The combined use of satellite imagery and aerial photography in conjunction with geographic information systems(GIS)has been instrumental in showcasing the significance of fusing various types of satеllitеdata sourcеs for comprеhеnsivееarthquakеdamagеassеssmеnts.However,remote sensing encounters challenges due to limited pre-event imagery and restricted postearthquake site access.Furthеrmorе,thеapplication of dееp-lеarning mеthods in assеssingеarthquakе-damagеd buildings dеmonstratеs potеntial for furthеr progrеss in this fiеld.Overall,the utilization of remote sensing technologies has greatly enhanced our comprehension of earthquakes and their effects on the Earth's surface.The fusion of remote sensing technology with advanced data analysis methods holds tremendous potential for driving progress in earthquake studies and damage assessment.
文摘Gastrointestinal(GI)bleeding is a critical and potentially life-threatening condition frequently observed in the intensive care unit(ICU).This literature review consolidates current insights on the epidemiology,etiology,management,and outcomes of GI bleeding in critically ill patients.GI bleeding remains a significant concern,especially among patients with underlying risk factors such as coagulopathy,mechanical ventilation,and renal failure.Managing GI bleeding in the ICU requires a multidisciplinary approach,including resuscitation,endoscopic intervention,pharmacologic therapy,and sometimes surgical procedures.Even with enhanced management strategies,GI bleeding in the ICU is associated with considerable morbidity and mortality,particularly when complicated by multi-organ failure.This review reiterates the need for adequate resuscitation and interventions in managing GI bleeding in critically ill patients,aiming to enhance survival rates and improve the quality of care within the ICU setting.
基金supported by Central Finance for the Forestry Science and Technology Promotion Demonstration Project([2024]TG13)the National Science Foundation of China(Grant No.32201643)the Key research projects of Yibin,Research and Integrated Demonstration and Key Technologies for Smart Bamboo Industry(Grant No.YBZD2024-1).
文摘Anthocyanin-rich foliage plants hold important applications in the pharmaceutical industry and the tea sector,beyond their significant ornamental value.These plants also possess biological and ecological importance,contributing to reproduction,defense against natural enemies,and adaptation to environmental changes.Thus,a deeper understanding of their leaf coloration will be essential for both practical applications and theoretical understanding.The present study comprehensively reviews the factors influencing anthocyanin metabolism,including biosynthesis,transport,degradation,transcription factors(TF_(S)),post-transcriptional regulation,post translation regulation.Next,we summarize the application of omics technologies in unveiling the mechanisms of anthocyanin synthesis in leaves.Furthermore,we review the molecular mechanisms by which environmental factors regulate leaf coloration by inducing anthocyanin biosynthesis.Lastly,the study addresses unresolved issues in the research of plant leaf coloration and proposes future research directions in this field.This study is anticipated to provide a valuable reference for the study of plant leaf coloration.
文摘Ten physical and environmental variables collected from an on-the-go soil sensor at two field sites (MF3E and MF11S) in Mississippi, USA, were analyzed to assess soil variability and the interrelationships among the measurements. At MF3E, moderate variability was observed in apparent electrical conductivity shallow (ECas), slope, and ECa ratio measurements, with coefficients of variation ranging from 20% to 27%. In contrast, MF11S exhibited higher variability, particularly in ECas and ECad (deep) measurements, which exceeded 30% in their coefficient of variation values, indicating significant differences in soil composition and moisture content. Correlation analysis revealed strong positive relationships between the near-infrared-to-red ratio and red reflectance (r = 0.897***) soil values at MF3E. MF11S demonstrated a strong negative correlation between ECas and ECad readings with the x-coordinate (r ***). Scatter plots and fitted models illustrated the complexity of relationships, with many showing nonlinear trends. These findings emphasize the need for continuous monitoring and advanced modeling to understand the dynamic nature of soil properties and their implications for agricultural practices. Future research should explore the underlying mechanisms driving variability in the soil characteristics to enhance soil management strategies at the study sites.
文摘Basal cell carcinoma(BCC)is the most prevalent form of skin cancer in the world,primarily affecting sun-exposed areas,including the periocular region.When BCC occurs near the eyes,surgical treatment becomes uniquely complex.Excess excisions may cause detrimental effects to eyelid function and undesirable aesthetic outcomes.Conversely,adequate resection must occur to prevent further disease progression.Mohs micrographic surgery(MMS),a technique offering high remission rates,is often employed for periocular BCC.This method allows for precise cancer removal while preserving as much healthy tissue as possible,balancing the need for both effective treatment and aesthetic and functional preservation.Following Mohs surgery of periocular BCC,reconstruction methods vary and can be tailored based on the size of the resection and the functional requirements of the affected tissue.Amongst these methods,primary closure with and without secondary intentions,direct margin repair,local flap closure and advance flap,Tenzel flap,tarso-conjunctival flap,periocular skin grafting,and structural grafting are commonly utilized and each has its advantages and limitations.In the future,advancements in synthetic flaps and stabilizing glues in the periocular region may provide additional tools for post-Mohs reconstruction.However,these emerging techniques require further research to establish efficacy and safety,especially in more complex and sensitive regions like the periocular tissues.The primary purpose of this review is to provide a comprehensive analysis of periocular reconstructive techniques following Mohs surgery,comparing their efficacy,functional outcomes,and aesthetic considerations while addressing recent advancements such as synthetic flaps and stabilizing glues to guide clinical decision-making.
基金the Deanship of Scientific Research at Northern Border University,Arar,KSA for funding this research work through the project number"NBUFFMRA-2025-2461-09"。
文摘Blast-induced ground vibration,quantified by peak particle velocity(PPV),is a crucial factor in mitigating environmental and structural risks in mining and geotechnical engineering.Accurate PPV prediction facilitates safer and more sustainable blasting operations by minimizing adverse impacts and ensuring regulatory compliance.This study presents an advanced predictive framework integrating Cat Boost(CB)with nature-inspired optimization algorithms,including the Bat Algorithm(BAT),Sparrow Search Algorithm(SSA),Butterfly Optimization Algorithm(BOA),and Grasshopper Optimization Algorithm(GOA).A comprehensive dataset from the Sarcheshmeh Copper Mine in Iran was utilized to develop and evaluate these models using key performance metrics such as the Index of Agreement(IoA),Nash-Sutcliffe Efficiency(NSE),and the coefficient of determination(R^(2)).The hybrid CB-BOA model outperformed other approaches,achieving the highest accuracy(R^(2)=0.989)and the lowest prediction errors.SHAP analysis identified Distance(Di)as the most influential variable affecting PPV,while uncertainty analysis confirmed CB-BOA as the most reliable model,featuring the narrowest prediction interval.These findings highlight the effectiveness of hybrid machine learning models in refining PPV predictions,contributing to improved blast design strategies,enhanced structural safety,and reduced environmental impacts in mining and geotechnical engineering.
基金Deanship of Graduate Studies and Scientific Research at Jouf University under grant No.(DGSSR-2025-02-01641)。
文摘Traffic congestion plays a significant role in intelligent transportation systems(ITS)due to rapid urbanization and increased vehicle concentration.The congestion is dependent on multiple factors,such as limited road occupancy and vehicle density.Therefore,the transportation system requires an effective prediction model to reduce congestion issues in a dynamic environment.Conventional prediction systems face difficulties in identifying highly congested areas,which leads to reduced prediction accuracy.The problem is addressed by integrating Graph Neural Networks(GNN)with the Lion Swarm Optimization(LSO)framework to tackle the congestion prediction problem.Initially,the traffic information is collected and processed through a normalization process to scale the data and mitigate issues of overfitting and high dimensionality.Then,the traffic flow and temporal characteristic features are extracted to identify the connectivity of the road segment.From the connectivity and node relationship graph,modeling improves the overall prediction accuracy.During the analysis,the lion swarm optimization process utilizes the concepts of exploration and exploitation to understand the complex traffic dependencies,which helps predict high congestion on roads with minimal deviation errors.There are three core optimization phases:roaming,hunting,and migration,which enable the framework to make dynamic adjustments to enhance the predictions.The framework’s efficacy is evaluated using benchmark datasets,where the proposed work achieves 99.2%accuracy and minimizes the prediction deviation value by up to 2.5%compared to other methods.With the new framework,there was a more accurate prediction of realtime congestion,lower computational cost,and improved regulation of traffic flow.This system is easily implemented in intelligent transportation systems,smart cities,and self-driving cars,providing a robust and scalable solution for future traffic management.
基金Five Oaks Ag Research&Education Center(DS18849)the University of Arkansas Division of Agriculture(PR02276)funding was provided by the U.S.Department of Agriculture,the National Institute of Food and Agriculture,and the McIntire-Stennis Capacity Grant(2729 YR21-25 and ARK02594).
文摘Individual tree health plays a vital role in maintaining a forest's ecological functions,including resources for waterfowl and other wildlife.Seasonal flooding due to altered hydrology is a major stressor on individual tree health in Greentree reservoirs(GTR),impounded bottomland hardwood forests especially less water tolerant species like red oaks(Quercus spp.).We evaluated the health of individual red oak species(n=6,432)in 662 plots across elevation gradients in 12 GTRs within the lower Mississippi Alluvial Valley using two tree health assessment approaches.The first approach assigns tree conditions(i.e.,stressed,moderate,low)based on overall qualitative tree attributes,while the second approach ranks stress,assigning numerical value based on the severity of four distinct qualitative tree attributes(i.e.,tip dieback,epicormics branch,bark condition,basal swell).The result indicated that the highest mean stress rank and the highest proportion of stressed tree conditions were red oak species,nuttall oak(Q.texana;18.59,0.44),willow oak(Q.phellos;18.66,0.38)and cherrybark oak(Q.pagoda;18.90,0.37).Red oak stress is positively correlated to elevation across the landscape(τ=0.10,p<0.001),but is negatively correlated to relative elevation,topographical changes,within each GTR(τ=-0.11,p<0.001).Additionally,the two health assessments are significantly associated(χ^(2)=313.78,df=2,p<0.001)and had a 13.1%misclassification rate.By utilizing the stress rank method for better classification of tree conditions to understand the adverse effect of prolonged flooding on the health of desirable red oak and other native tree species,management practices can be adjusted to improve tree health in GTRs,benefiting both wildlife and economic value.
基金funded by internal grants from the Ward Family Heart Center.
文摘A bicuspid aortic valve,from autologous tissue,with growth potential can be constructed using the simple,and reproducible telescoping arterial trunk technique.
文摘Microbes are good sources of biologically active compounds that can be used as pharmaceuticals and agrochemicals. As part of our continuous efforts in search for biopesticides from natural sources, a fungus is isolated from leaves of Pandanus amaryllifolius that shows severe necrosis. This fungus is cultured in potato dextrose agar and identified as Curvularia intermedia. The ethyl acetate extract of the liquid culture medium is phytotoxic. Identification and bioassay of αβ-dehydrocurvularin (1) and curvularin (2) from this fungus are described. Monoacetyldehydrocurvularin (3), and diacetyldehydrocurvularin (4) are synthesized from 1. Phytoxicity rankings in a variety of bioassays are 1 > 2 > 4 > 3.
文摘Purpose: The purpose of the current study is to investigate the within-pitcher differences in time series angular velocities of the pelvis, trunk, shoulder, and elbow for high and low velocity fastballs in college baseball pitchers.Methods: In-game data were retrospectively analyzed from 82 NCAA Division 1 pitchers([1.89 ± 0.06] m, [92.8± 9.5] kg). Kinematic data were collected using an in-game markerless motion capture system. Time series data of pelvis, trunk, shoulder, and elbow angular velocities for each pitcher’s fastest and slowest fastball were extracted for the pitch cycle(foot contact to ball release) and used for analysis. Within-subject time series comparisons were conducted using statistical parametric mapping(SPM) paired samples t-tests(α = 0.012 5).Results: Each of the tested segments were significantly faster in the fastest fastball trial compared to the slowest fastball trial. The duration of significance in reference to the pitch cycle, test statistic, and p-value, for each segment are as follows: Pelvis: 0%–4%, t = 3.54, p = 0.012;Trunk: 30%–67%, t = 5.62, p < 0.001;Shoulder External Rotation: 3%–50%, t =-6.03, p < 0.001;Shoulder Internal Rotation: 96%–100%, t = 4.11, p = 0.008;Elbow: 75%–86%, t = 4.13, p < 0.001.Discussion: Within-subjects differences exist in time series angular velocities when comparing the fastest and slowest fastball. These time series differences provide additional information to distinguish fastball velocity beyond what discrete metrics can provide. Pitchers should look to rotate each segment faster, and optimize the sequencing of these movements, to increase pitch velocity.
文摘Steatotic liver disease(SLD)encompasses a group of disorders characterized by the excessive accumulation of fat in the liver.It is classified into four categories based on clinical manifestations:Metabolic dysfunction-associated SLD(MASLD),metabolic-alcohol-associated liver disease(ALD),ALD,and cryptogenic SLD.In the United States,its prevalence stands at 34.2%,making it the most common cause of cirrhosis and hepatocellular carcinoma(HCC).In addition to factors related to endocrine,nutrition,and medications,several genetic markers have been implicated in the disease's pathogenesis.Notable genes include PNPLA3,TM6SF2,GCKR,MBOAT7 and HSD17B13.These genetic polymorphisms can significantly impact prognosis and disease outcomes.For example,PNPLA3 is the most frequently associated gene with MASLD,increasing the risk of HCC by 12-fold and liver-related mortality by 18-fold.Furthermore,certain genetic markers are more prevalent in specific ethnic groups;for instance,PNPLA3 is common among Hispanics,while TM6SF2 is linked to higher fat content in African Americans.With a better understanding of the genetic factors involved in the pathogenesis of SLD,significant advancements have been made in diagnostics and therapeutics.This review explores the role of genetic factors in the disease's development,discusses current advancements in non-invasive diagnostic modalities,and examines therapeutic improvements based on these genetic insights to achieve better outcomes.
文摘In developed countries,age-related macular degeneration(AMD)is the main cause of visual impairment in the elderly.Though the etiology of AMD is still unclear,it has been well understood that vascular endothelial growth factor(VEGF)is involved in the development of aberrant vasculature that represents the neovascular AMD(nAMD).Hence,VEGF inhibition is a more effective way to control nAMD.Pegaptanib,ranibizumab,and aflibercept are three drugs approved by the US Food and Drug Administration(FDA)to treat nAMD.Bevacizumab(an anti-VEGF medication comparable to ranibizumab)is already widely used off label.Existing anti-VEGF medicines are made up of antibodies or pieces of antibodies.Synthetic designed ankyrin repeat proteins(DARPins)imitate antibodies introduced recently by evolutions in bioengineering technology.These agents are designed to have high specificity and affinity to a specific target,smaller molecular size,and better tissue penetration,making them more stable and longer-acting at less concentration.Abicipar pegol(Allergan,Dublin,Ireland)is a DARPin that interlocks all VEGF-A isoforms.It has a greater affinity for VEGF and a longer intraocular half-life than ranibizumab,making it a feasible anti-VEGF agent.This review describes the properties and efficacy of abicipar,the new anti-VEGF agent,in clinical practice,which aims to improve outcomes,safety,and treatment burden of nAMD.
基金supported by United States Department of Agriculture,Agricultural Research Service(No.58-8042-9-072)United States Department of Agriculture-National Institute of Food and Agriculture(No.2019-34263-30552)+1 种基金Management Information System(No.043050)United States Department of Agriculture-Agricultural Research Service-Non-Assistance Cooperative Agreement(No.58-6066-2-030).
文摘Background GOSSYM is a mechanistic,process-based cotton model that can simulate cotton crop growth and development,yield,and fiber quality.Its fiber quality module was developed based on controlled experiments explicitly conducted on the Texas Marker^(-1)(TM1)variety,potentially making its functional equations more aligned with this cultivar.To assess the model’s broader applicability,this study analyzed fiber quality data from 40 upland cotton cultivars,including TM1.The measured fiber quality from all cultivars was then compared with the modelsimulated fiber quality.Results Among the 40 upland cultivars,fiber strength varied from 28.4 cN·tex^(-1) to 34.6 cN·tex^(-1),fiber length ranged from 27.1 mm to 33.3 mm,micronaire value ranged from 2.7 to 4.6,and length uniformity index varied from 82.3%to 85.5%.The model simulated fiber quality closely matched the measured values for TM1,with the absolute percentage error(APE)being less than 0.92%for fiber strength,fiber length,and length uniformity index and 4.7%for micronaire.However,significant differences were observed for the other cultivars.The Pearson correlation coefficient(r)between the measured and simulated values was negative for all fiber quality traits,and Wilmotts’s index of agreement(WIA)was below 0.45,indicating a strong model bias toward TM1 without incorporating cultivar-specific parameters.After incorporating cultivar-specific parameters,the model’s performance improved significantly,with an average r-value of 0.84 and WIA of 0.88.Conclusions The adopted methodology and estimated cultivar-specific parameters improved the model’s simulation accuracy.This approach can be applied to newer cotton cultivars,enhancing the GOSSYM model’s utility and its applicability for agricultural management and policy decisions.
基金supported by the Key R&D Program of Shandong Province (2024LZGC007, 2024CXPT072, 2022LZGC001)Shandong Provincial Natural Science Foundation (ZR2024YQ069)+1 种基金the National Natural Science Foundation of China (32201863,32272181)the Taishan Scholars Program
文摘Wheat grains contain various bioactive substances,of which,condensed tannins(CT)are polymeric flavan-3-ols that accumulate in wheat seed coat influencing the end-use quality and nutritional value.However,the genetic architecture underlying CT biosynthesis in wheat grain remains unclear.Here,we studied the deposition and genetic regulation of CT in wheat grains,and found that CT deposited specifically in the testa layer of red-grained wheat as catechin-and epicatechin-formed polymers.Genome-wide association study identified 22 genetic loci affecting CT content,one of which,TaTAN,a single dominant gene controlling CT presence,was mapped to chromosome 3A in a segregation population.Further pan-genome analysis,transcriptome profiling and ethyl methanesulfonate induced mutants sequencing revealed a R2R3-MYB transcription factor,TaMYB10-3A,as the causal gene.Three loss-of-function alleles in TaMYB10-3A caused by large fragment inversion-deletion and insertion were identified which abolish both CT deposition and red pigmentation,demonstrating the pleiotropic effect of TaMYB10-3A on CT presence and grain color.TaMYB10-3A directly trans-activates core flavonoid genes such as chalcone synthase and dihydroflavonol 4-reductase to initiate CT biosynthesis.Our investigation provides a comprehensive understanding of CT presence in wheat grains and lays a solid foundation for manipulating CT metabolites to improve wheat grain end-use quality and nutrition values in wheat.
