QTL mapping and transcriptome analysis identify candidate genes influencing water–nitrogen interaction in maize

Water and nitrogen fertilization are the key factors limiting maize productivity.The genetic basis of interactions between maize genotype,water,and nitrogen is unclear.A recombinant inbred line(RIL)maize population was evaluated for seven yield and five agronomic traits under four water and nitrogen conditions:water stress and low nitrogen,water stress and high nitrogen,well-watered and low nitrogen,and well-watered and high nitrogen.Respectively eight,six,and six traits varied in response to genotype–water interactions,genotype–nitrogen interactions,and genotype–water–nitrogen interactions.Using a linkage map consisting of 896 single-nucleotide polymorphism markers and multipleenvironmental quantitative-trait locus(QTL)mapping,we identified 31 QTL,including 12 for genotype–water–nitrogen interaction,across the four treatments.A set of 8060 genes were differentially expressed among treatments.Integrating genetic analysis,gene co-expression,and functional annotation revealed two candidate genes controlling genotype–water–nitrogen interactions,affecting both leaf width and grain yield.Genes involved in abscisic acid biosynthesis and bZIP,NAC,and WRKY transcription factors participated in maize response to water and nitrogen conditions.These results represent a step toward understanding the genetic regulatory network of maize that responds to water and nitrogen stress and provide a theoretical basis for the genetic improvement of both water-and nitrogen-use efficiency.

The Fusion Model of Catalytic Combustion and Thermal Conductivity

The further development of catalytic elements has been plagued by activation and binary problems.The automatic shift model that has emerged in recent years helps components achieve full range.However,the detection data still remains unstable in the shift area(7%∼13%).This paper proposes a Catalytic Combustion and Thermal Conductivity(CCTC)model for the specified range,which can be explained fromtwo aspects based on the existing methods.On the one hand,it uses iterative location search to process heterogeneous data,judges the prediction position of data points,and then givesweight evaluation.On the other hand,it corrects the abnormal points,determines the abnormal points in the horizontal direction,and gives the replacement value through the data of adjacent points.The experimental results show that the CCTC model reduces the sum of variance from 17 of the automatic shift model to 13,and the comparison of experimental variance is reduced by 23%.In the full-scale real-time data,the experimental variance of CCTC model and automatic shift model is reduced by 18%.In conclusion,CCTC is a cross section stability framework for full-scale methane measurement,in which the specified heterogeneous combination and anomaly point correction methods improve the stability.

A Novel Ultra Short-Term Load Forecasting Method for Regional Electric Vehicle Charging Load Using Charging Pile Usage Degree

Electric vehicle(EV)charging load is greatly affected by many traffic factors,such as road congestion.Accurate ultra short-term load forecasting(STLF)results for regional EV charging load are important to the scheduling plan of regional charging load,which can be derived to realize the optimal vehicle to grid benefit.In this paper,a regional-level EV ultra STLF method is proposed and discussed.The usage degree of all charging piles is firstly defined by us based on the usage frequency of charging piles,and then constructed by our collected EV charging transactiondata in thefield.Secondly,these usagedegrees are combinedwithhistorical charging loadvalues toform the inputmatrix for the deep learning based load predictionmodel.Finally,long short-termmemory(LSTM)neural network is used to construct EV charging load forecastingmodel,which is trained by the formed inputmatrix.The comparison experiment proves that the proposed method in this paper has higher prediction accuracy compared with traditionalmethods.In addition,load characteristic index for the fluctuation of adjacent day load and adjacent week load are proposed by us,and these fluctuation factors are used to assess the prediction accuracy of the EV charging load,together with the mean absolute percentage error(MAPE).

Geochronology and mineralogy of the Weishan carbonatite in Shandong province, eastern China

The Weishan REE deposit is located at the eastern part of North China Craton(NCC), western Shandong Province. The REE-bearing carbonatite occur as veins associated with aegirine syenite. LA-ICP-MS bastnaesite Th-Pb ages(129 Ma) of the Weishan carbonatite show that the carbonatite formed contemporary with the aegirine syenite. Based on the petrographic and geochemical characteristics of calcite, the REEbearing carbonatite mainly consists of Generation-1 igneous calcite(G-1 calcite) with a small amount of Generation-2 hydrothermal calcite(G-2 calcite). Furthermore, the Weishan apatite is characterized by high Sr, LREE and low Y contents, and the carbonatite is rich in Sr, Ba and LREE contents. The δ^(13)Cv-PDB(-6.5‰ to -7.9‰) and δ^(13)OV-SMOW(8.48‰-9.67‰) values are similar to those of primary, mantlederived carbonatites. The above research supports that the carbonatite of the Weishan REE deposit is igneous carbonatite. Besides, the high Sr/Y, Th/U, Sr and Ba of the apatite indicate that the magma source of the Weishan REE deposit was enriched lithospheric mantle, which have suffered the fluid metasomatism. Taken together with the Mesozoic tectono-magmatic activities, the NW and NWW subduction of Izanagi plate along with lithosphere delamination and thinning of the North China plate support the formation of the Weishan REE deposit. Accordingly, the mineralization model of the Weishan REE deposit was concluded: The spatial-temporal relationships coupled with rare and trace element characteristics for both carbonatite and syenite suggest that the carbonatite melt was separated from the CO_2-rich silicate melt by liquid immiscibility. The G-1 calcites were crystallized from the carbonatite melt, which made the residual melt rich in rare earth elements. Due to the common origin of G-1 and G-2 calcites, the REE-rich magmatic hydrothermal was subsequently separated from the melt. After that, large numbers of rare earth minerals were produced from the magmatic hydrothermal stage.

Testing final closure time of the Paleo-Asian Ocean along the Solonker suture by a transition of compressional and extensional setting

The giant Central Asian Orogenic Belt is an extensive accretionary orogen,of which the Solonker suture,as a major regional suture,coincides closely with an early Permian paleobiogeographical boundary.This suture is considered to mark the location of the final closure of the Paleo-Asian Ocean between the North China Craton and the Mongolian Terrane.Although the closure time of the Paleo-Asian Ocean along the Solonker suture has generally been regarded as Late Permian-Early Triassic,uncertainty remains because of a lack of typical collisionrelated features(e.g.,high-grade regional metamorphism and well-developed fold-thrust structures)and a scarcity of outcrops.The present study reports Early Permian foliated gabbros and dikes(288-275 Ma)and Middle-Late Permian undeformed layered gabbros,strongly peraluminous granites,and I-type granites(265-254 Ma)in the Xinhure area along the northern margin of the North China Craton.The Early Permian foliated intrusions have a subduction-related geochemical signature and were derived from partial melting of lithospheric mantle modified by subduction-related melts or fluids at the active margin of the North China Craton.In contrast,the Late Permian undeformed layered gabbros and strongly peraluminous granites were derived from partial melting of lithospheric mantle and middle-upper crust,respectively,triggered by asthenospheric upwelling.Therefore,a transition from an end-compressional to an extensional environment according to a transition from collision termination to postcollision of the North China Craton and Mongolian Terrane may have occurred between 275 Ma and 262 Ma.This time span can be considered as the final closure time of the Paleo-Asian Ocean along the Solonker suture.

Complications Following Facial Thread-Lifting

Background Facial thread-lifting(FTL)is a minimally invasive facial rejuvenation technique.However,to date,no study has focused on the treatment of complications associated with FTL.The purpose of this study was to report on clinical manifestations of complications following FTL and their treatment methods.Methods We retrospectively reviewed the electronic medical records of patients who presented with complications of FTL.Patient demographics,medical history,types and clinical manifestations of complications,imaging,treatment methods,histopathological findings,and follow-up information were collected.Descriptive statistical analysis was performed.Results Our sample included 61 patients,all women,with a mean age of 36.3±8.9 years.The most common reason for consultation was infection(31.2%),followed by dissatisfaction with postoperative facial contour(23%),paresthesia(19.7%),dimpling and irregularity(16.4%),subcutaneous induration(13.1%),thread extrusion(4.9%),and facial nerve injury(3.3%).Fifty-one(83.6%)patients reported alleviated symptoms after receiving pharmaceutical and physical therapies.Surgical interventions,including debridement and thread removal,were required in 10 patients(16.4%).Threads were completely or partially removed in 5 patients within 3 months of the initial FTL.During a median follow-up of 1.7 years,9 patients recovered well and were satisfied with the clinical outcomes,whereas one patient was unsatisfied due to dimpling and scarring.Conclusions The results show that most complications after FTL can be treated nonsurgically.Revision surgery is recommended for patients with recurrent infection,thread extrusion,and subcutaneous induration.Aesthetic surgeons and dermatologists should comply with the indications for FTL and optimize surgical procedures to minimize the risk of complications.

Study on myocardial infarction based on nationwide inpatient sample database:a bibliometric analysis from 2000 to 2022

Background:Studies on myocardial infarction(MI)based on large medical databases have become popular in recent years.The influence of the National Inpatient Sample(NIS),the largest collection of administrative healthcare data across the United States,on the field of MI has not been well investigated.This study aimed to quantify the contribution of NIS to MI research using bibliometric methods.Methods:We searched the Web of Science Core Collection database to identify publications on MI using NIS from 2000 to 2022.Bibliometric indicators,such as the number of publications,citations,and Hirsch index(H-index),were summarized by years,authors,organizations,and journals.VOSviewer and CiteSpace software were used to analyze the keywords and trends of the hot spots.Results:A total of 342 articles on MI based on NIS were included.A significant growth in outputs related to MI using the NIS from 2000 to 2020 was observed.The publications were mainly from the United States.The Mayo Clinic was the most prolific institution and had the most citations and the highest H-index.The American Journal of Cardiology ranked first among journals with the highest number of publications,citations,and H-index.Mortality and healthcare management are the main focuses of this field.Personalized risks and care are receiving increased attention.Conclusion:This study suggests that NIS significantly contributes to high-quality output in MI research.More efforts are needed to improve the impact of knowledge gained from the NIS on MI.

Robust Segmentation Method for Noisy Images Based on an Unsupervised Denosing Filter

Level-set-based image segmentation has been widely used in unsupervised segmentation tasks.Researchers have recently alleviated the influence of image noise on segmentation results by introducing global or local statistics into existing models.Most existing methods are based on the assumption that the distribution of image noise is known or observable.However,real-time images do not meet this assumption.To bridge this gap,we propose a novel level-set-based segmentation method with an unsupervised denoising mechanism.First,a denoising filter is acquired under the unsupervised learning paradigm.Second,the denoising filter is integrated into the level-set framework to separate noise from the noisy image input.Finally,the level-set energy function is minimized to acquire segmentation contours.Extensive experiments demonstrate the robustness and effectiveness of the proposed method when applied to noisy images.

Epidemiology and clinical characteristics of burns in China's Mainland from 2009 to 2018

Background:Burn injuries place a heavy burden on the global healthcare system.However,there is still a lack of nationwide studies on the epidemiological characteristics of burn patients in China's Mainland.The present study aims to accurately analyze the clinical characteristics of burn patients by collecting data in China's Mainland from 2009 to 2018,which will provide effective strategies for healthcare systems and the government in China's Mainland.Methods:Patients admitted for burn injuries to 196 hospitals in 31 provinces,autonomous regions and municipalities in China's Mainland from 2009 to 2018 were included.The data collected included sex,age,month distribution,etiology,region,clinical outcome,injury anatomical location,total burn surface area and mortality.SPSS 19.0 software was used to analyze the data.Results:From 2009 to 2018,the burn patients were 333,995(0.76%),which included 222,480(66.61%)males and 111,515(33.39%)females.From 2009 to 2018,the number of individuals admit-ted to hospitals for burns showed a downward trend year by year.The burn patients accounted for the highest proportion of inpatients in 0-10 years(38.10%),followed by 40-50 years(13.14%).The highest cure ratio of burn inpatients was in the 20-30 age group(31394,71.53%).Among 31 provinces,autonomous regions and municipalities,the province with the highest proportion of total inpatients caused by burns was Inner Mongolia(4.61%),followed by Zhejiang(3.17%),Hainan(2.88%)and Xinjiang(2.64%).Summer(29.16%)was the season with the highest incidence of burn patients admitted to hospitals,followed by spring(25.6%).Scalding(60.19%)was the most frequent kind of burn treated,followed by fire(20.45%).The patients had multiple burn sites(68.89%)most often,followed by burns on the lower limbs(10.91%).From 0%to 10%total body surface area(TBSA)accounted for the highest ratio(37.19%),followed by 90-100%TBSA(21.74%).Conclusions:The present study is the first to describe the associated situation and trends of burn patients in China's Mainland from 2009 to 2018.Our findings will serve as the latest clinical evidence for healthcare planning and prevention efforts in China and other countries.

Biodegradation of 2-ethylhexyl-4-methoxycinnamate in river sediments and its impact on microbial communities

Numerous studies have evaluated the toxicity and endocrine disrupting properties of organic UV filters for aquatic organisms,but little is known about their biodegradation in river sediments and their impact on microorganisms.We have set up the sterile and microbiological systems in the laboratory,adding 2-ethylhexyl-4-methoxycinnamate(EHMC),one of organic UV filters included in the list of high yield chemicals,at concentrations of 2,20 and 200μg/L,and characterized the microbial community composition and diversity in sediments.Monitoring of EHMC degradation within 30 days revealed that the half-life in the microbial system(3.49 days)was much shorter than that in the sterile system(7.55 days).Two potential degradation products,4-mercaptobenzoic acid and 3-methoxyphenol were identified in the microbial system.Furthermore,high-throughput 16s and 18s rRNA gene sequencing showed that Proteobacteria dominated the sediment bacterial assemblages followed by Chloroflexi,Acidobacteria,Bacteroidetes and Nitrospirae;Eukaryota_uncultured fungus dominated the sediment fungal assemblages.Correlation analysis demonstrated that two bacterium genera(Anaerolineaceae_uncultured and Burkholderiaceae_uncultured)were significantly correlated with the biodegradation of EHMC.These results illustrate the biodegradability of EHMC in river sediments and its potential impact on microbial communities,which can provide useful information for eliminating the pollution of organic UV filters in natural river systems and assessing their potential ecological risks.