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Accelerated design of high-performance Mg-Mn-based magnesium alloys based on novel bayesian optimization

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Journal of Magnesium and Alloys 2024年第2期12卷 750-766页

作者： Xiaoxi Mi Lili Dai Xuerui Jing Jia She Bjørn Holmedal Aitao Tang Fusheng Pan College of Materials science and Engineering Chongqing UniversityChongqing 400044China Southwest Technology and Engineering Research institute Chongqing 400039China National Engineering Research Center for Magnesium Alloys Chongqing UniversityChongqing 400044China Department of Materials science and Engineering Norwegian University of Science and Technology(NTNU)Trondheim 7051Norway

Magnesium(Mg),being the lightest structural metal,holds immense potential for widespread applications in various fields.The development of high-performance and cost-effective Mg alloys is crucial to further advancing their commercial utilization.With the rapid advancement of machine learning(ML)technology in recent years,the“data-driven''approach for alloy design has provided new perspectives and opportunities for enhancing the performance of Mg alloys.This paper introduces a novel regression-based Bayesian optimization active learning model(RBOALM)for the development of high-performance Mg-Mn-based wrought alloys.RBOALM employs active learning to automatically explore optimal alloy compositions and process parameters within predefined ranges,facilitating the discovery of superior alloy combinations.This model further integrates pre-established regression models as surrogate functions in Bayesian optimization,significantly enhancing the precision of the design process.Leveraging RBOALM,several new high-performance alloys have been successfully designed and prepared.Notably,after mechanical property testing of the designed alloys,the Mg-2.1Zn-2.0Mn-0.5Sn-0.1Ca alloy demonstrates exceptional mechanical properties,including an ultimate tensile strength of 406 MPa,a yield strength of 287 MPa,and a 23%fracture elongation.Furthermore,the Mg-2.7Mn-0.5Al-0.1Ca alloy exhibits an ultimate tensile strength of 211 MPa,coupled with a remarkable 41%fracture elongation.

关键词： Mg-Mn-based alloys High-performance Alloy design Machine learning Bayesian optimization

Global gene expression profiling of perirenal brown adipose tissue whitening in goat kids reveals novel genes linked to adipose remodeling

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Journal of Animal science and Biotechnology 2024年第3期15卷 1008-1026页

作者： Le Zhao Haili Yang Minhao Li Min Xiao Xingchun Li Lei Cheng Wenqiang Cheng Meixi Chen Yongju Zhao College of Animal science and Technology Southwest UniversityChongqing Key Laboratory of Herbivore ScienceChongqing 400715China

Background Brown adipose tissue(BAT)is known to be capable of non-shivering thermogenesis under cold stimulation,which is related to the mortality of animals.In the previous study,we observed that goat BAT is mainly located around the kidney at birth,and changes to white adipose tissue(WAT)in the perirenal adipose tissue of goats within one month after birth.However,the regulatory factors underlying this change is remain unclear.In this study,we systematically studied the perirenal adipose tissue of goat kids in histological,cytological,and accompanying molecular level changes from 0 to 28 d after birth.Results Our study found a higher mortality rate in winter-born goat kids,with goat birthing data statistics.Then we used thermal imaging revealing high temperature in goat hips at postnatal 0 d and gradually decrease during 28 d.This is consistent with the region of perirenal BAT deposition and highlights its critical role in energy expenditure and body temperature regulation in goat kids.Additionally,we found a series of changes of BAT during the first 28 d after birth,such as whitening,larger lipid droplets,decreased mitochondrial numbers,and down-regulation of key thermogenesis-related genes(UCP1,DIO2,UCP2,CIDEA,PPARGC1a,C/EBPb,and C/EBPa).Then,we used RNA-seq found specific marker genes for goat adipose tissue and identified 12 new marker genes for BAT and 10 new marker genes for WAT of goats.Furthermore,12 candidate genes were found to potentially regulate goat BAT thermogenesis.The mechanism of the change of this biological phenomenon does not involve a large-scale death of brown adipocytes and subsequent proliferation of white adipocytes.While apoptosis may play a limited role,it is largely not critical in this transition process.Conclusions We concluded that perirenal BAT plays a crucial role in thermoregulation in newborn goat kids,with notable species differences in the expression of adipose tissue marker genes,and we highlighted some potential marker genes for goat BAT and WAT.Additionally,the change fr

关键词： Adipose remodeling Brown adipose tissue Goat kids Key thermogenesis-related genes Whitening

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Single-cell transcriptomic atlas of goat ovarian aging

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Journal of Animal science and Biotechnology 2024年第1期15卷 146-161页

作者： Dejun Xu Shuaifei Song Fuguo Wang Yawen Li Ziyuan Li Hui Yao Yongju Zhao Zhongquan Zhao chongqing Key Laboratory of Herbivore science College of Animal Science and TechnologySouthwest UniversityChongqing 400715China

Background The ovaries are one of the first organs that undergo degenerative changes earlier in the aging process,and ovarian aging is shown by a decrease in the number and quality of oocytes.However,little is known about the molecular mechanisms of female age-related fertility decline in different types of ovarian cells during aging,especially in goats.Therefore,the aim of this study was to reveal the mechanisms driving ovarian aging in goats at single-cell resolution.Results For the first time,we surveyed the single-cell transcriptomic landscape of over 27,000 ovarian cells from newborn,young and aging goats,and identified nine ovarian cell types with distinct gene-expression signatures.Functional enrichment analysis showed that ovarian cell types were involved in their own unique biological processes,such as Wnt beta-catenin signalling was enriched in germ cells,whereas ovarian steroidogenesis was enriched in granulosa cells(GCs).Further analysis showed that ovarian aging was linked to GCs-specific changes in the antioxidant system,oxidative phosphorylation,and apoptosis.Subsequently,we identified a series of dynamic genes,such as AMH,CRABP2,THBS1 and TIMP1,which determined the fate of GCs.Additionally,FOXO1,SOX4,and HIF1A were identified as significant regulons that instructed the differentiation of GCs in a distinct manner during ovarian aging.Conclusions This study revealed a comprehensive aging-associated transcriptomic atlas characterizing the cell typespecific mechanisms during ovarian aging at the single-cell level and offers new diagnostic biomarkers and potential therapeutic targets for age-related goat ovarian diseases.

关键词： Goat Granulosa cells Ovarian aging Single-cell transcriptomic

Eureka lemon zinc finger protein ClDOF3.4 interacts with citrus yellow vein clearing virus coat protein to inhibit viral infection

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Journal of Integrative Agriculture 2024年第6期23卷 1979-1993页

作者： Ping Liao Ting Zeng Mengyang Huangfu Cairong Zheng Jiequn Ren Changyong Zhou Yan Zhou Integrative science Center of Germplasm Creation in Western China(chongqing)science City Citrus Research InstituteSouthwest UniversityChongqing 400712China National Citrus Engineering Research Center Citrus Research InstituteSouthwest UniversityChongqing 400712China chongqing Three Gorges Academy of Agricultural science Chongqing Three Gorges UniversityChongqing 404020China

Citrus yellow vein clearing virus(CYVCV)is a new citrus virus that has become an important factor restricting the development of China’s citrus industry,and the CYVCV coat protein(CP)is associated with viral pathogenicity.In this study,the Eureka lemon zinc finger protein(ZFP)ClDOF3.4 was shown to interact with CYVCV CP in vivo and in vitro.Transient expression of ClDOF3.4 in Eureka lemon induced the expression of salicylic acid(SA)-related and hypersensitive response marker genes,and triggered a reactive oxygen species burst,ion leakage necrosis,and the accumulation of free SA.Furthermore,the CYVCV titer in ClDOF3.4 transgenic Eureka lemon plants was approximately 69.4%that in control plants 6 mon after inoculation,with only mild leaf chlorotic spots observed in those transgenic plants.Taken together,the results indicate that ClDOF3.4 not only interacts with CP but also induces an immune response in Eureka lemon by inducing the SA pathways.This is the first report that ZFP is involved in the immune response of a citrus viral disease,which provides a basis for further study of the molecular mechanism of CYVCV infection.

关键词： citrus yellow vein clearing virus coat protein ClDOF3.4 plant immune response

SDGNN: Symmetry-Preserving Dual-Stream Graph Neural Networks

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IEEE/CAA Journal of Automatica Sinica 2024年第7期11卷 1717-1719页

作者： Jiufang Chen Ye Yuan Xin Luo the College of Computer science and Technology Chongqing University of Posts and TelecommunicationsChongqing 400065 the chongqing Key Laboratory of Big Data and Intelligent Computing Chongqing Institute of Green and Intelligent TechnologyChinese Academy of SciencesChongqing 400714China the College of Computer and Information science Southwest UniversityChongqing 400715China IEEE

Dear Editor,This letter proposes a symmetry-preserving dual-stream graph neural network(SDGNN) for precise representation learning to an undirected weighted graph(UWG). Although existing graph neural networks(GNNs) are influential instruments for representation learning to a UWG, they invariably adopt a unique node feature matrix for illustrating the sole node set of a UWG.

关键词： representation preserving undirected

Experimental and numerical analyses of the effect of fibre content on the close-in blast performance of a UHPFRC beam

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Defence Technology（防务技术） 2024年第1期31卷 242-261页

作者： Junbo Yan Qiyue Zhang Yan Liu Yingliang Xu Zhenqing Shi Fan Bai Fenglei Huang State Key Laboratory of Explosion science and Technology Beijing Institute of TechnologyBeijing 100081China Beijing institute of Technology chongqing Innovation Center Chongqing 401120China

Limited research has been conducted on the influences of fiber content on close-in blasting characteristics for ultrahigh-performance fiber-reinforced concrete(UHPFRC)beams.This paper aims to address this knowledge gap through experimental and mesoscale numerical methods.Experiments were conducted on ten UHPFRC beams built with varying steel fiber volumetric fractions subjected to close-in explosive conditions.Additionally,this study considered other parameters,such as the longitudinal reinforcement type and ratio.In the case of UHPFRC beams featuring normal-strength longitudinal reinforcement of diametersΦ12,Φ16,andΦ20,a reduction in maximum displacement by magnitudes of19.6%,19.5%,and 17.4%was observed,respectively,as the volumetric fractions of fiber increased from1.0%to 2.5%.In addition,increasing the longitudinal reinforcement ratio and using high-strength steel longitudinal reinforcement both significantly reduced the deformation characteristics and increase the blasting resistances of UHPFRC beams.However,the effects on the local crushing and spalling damage were not significant.A mesoscale finite element model,which considers the impacts of fiber parameters on UHPFRC beam behaviors,was also established and well correlated with the test findings.Nevertheless,parametric analyses were further conducted to examine the impacts of the steel fiber content and length and the hybrid effects of various types of microfibers and steel fibers on the blasting performance of UHPFRC beams.

关键词： Blast performance Close-in blast Fiber content Mesoscale approach UHPFRC beams

Overcoming adaptive resistance in AML by synergistically targeting FOXO3A-GNG7-mTOR axis with FOXO3A inhibitor Gardenoside and rapamycin

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Genes & Diseases 2024年第1期11卷 397-412页

作者： Zhe Chen Qian Guo Shichen Huang Lei Li Feng Wu Zhilong Liu Zhigang Li Tao Chen Guanbin Song Shuangnian Xu Jieping Chen Yu Hou Department of Hematology Southwest HospitalThird Military Medical University(Army Medical University)Chongqing 400038China institute of Life sciences Chongqing Medical UniversityChongqing 400016China Key Laboratory of Biorheological science and Technology Ministry of EducationCollege of BioengineeringChongqing UniversityChongqing 400044China chongqing Foreign Language School Chongqing 400039China

Therapeutic targeting FOxO3A(a forkhead transcription factor)represents a prom-ising strategy to suppress acute myeloid leukemia(AML).However,the effective inhibitors that target FOXO3A are lacking and the adaptive response signaling weakens the cytotoxic effect of FOxO3A depletion on AML cells.Here,we show that FOxO3A deficiency induces a compensa-tory response involved in the reactive activation of mTOR that leads to signaling rebound and adaptive resistance.Mitochondrial metabolism acts downstream of mTOR to provoke activa-tion of JNK/c-JUN via reactive oxygen species(ROS).At the molecular level,FOXO3A directly binds to the promoter of G protein gamma subunit 7(GNG7)and preserves its expression,while GNG7 interacts with mTOR and restricts phosphorylated activation of mTOR.Consequently,combinatorial inhibition of FOXO3A and mTOR show a synergistic cytotoxic effect on AML cells and prolongs survival in a mouse model of AML.Through a structure-based virtual screening,we report one potent small-molecule FOxO3A inhibitor(Gardenoside)that exhibits a strong effect of anti-FOXO3A DNA binding.Gardenoside synergizes with rapamycin to substantially reduce tumor burden and extend survival in AML patient-derived xenograft model.These results demonstrate that mTOR can mediate adaptive resistance to FOxO3A inhibition and validate a combinatorial approach for treating AML.

关键词： AML Combinatorial inhibition FOXO3A GNG7 mTOR

Mitogenome-based phylogeny of mosquitoes(Diptera:Culicidae)

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Insect science 2024年第2期31卷 599-612页

作者： De-Hong Chen Shu-Lin He Wen-Bo Fu Zhen-Tian Yan Yun-Jian Hu Huan Yuan Ming-Bin Wang Bin Chen chongqing Key Laboratory of Vector Insects Institute of Entomology and Molecular BiologyChongqing Normal UniversityChongqingChina

Mosquitoes are of great medical significance as vectors of many deadly diseases.Mitogenomes have been widely used in phylogenetic studies,but mitogenome knowledge within the family Culicidae is limited,and Culicidae phylogeny is far from resolved.In this study,we surveyed the mitogenomes of 149 Culicidae species,including 7 newly sequenced species.Comparative analysis of 149 mosquito mitogenomes shows gene composition and order to be identical to that of an ancestral insect,and the AT bias,length variation,and codon usage are all consistent with that of other reported Dipteran mitogenomes.Phylogenetic analyses based on the DNA sequences of the 13 protein-coding genes from the 149 species robustly support the monophyly of the subfamily Anophelinae and the tribes Aedini,Culicini,Mansonini,Sabethini,and Toxorhynchitini.To resolve ambiguous relationships between clades within the subfamily Culicinae,we performed topological tests and show that Aedini is a sister to Culicini and that Uranotaenini is a sister to(Mansonini)+(Toxorhynchitini+Sabethini).In addition,we estimated divergence times using a Bayesian relaxation clock based on the sequence data and 3 fossil calibration points.The results show mosquitoes diverged during the Early Jurassic with massive Culicinae radiations during the Cretaceous,coincident with the emergence of angiosperms and the burst of mammals and birds.Overall,this study,which uses the largest number of Culicidae mitogenomes sequenced to date,comprehensively reveals the mitogenome characteristics and mitogenome-based phylogeny and divergence times of Culicidae,providing information for further studies on the mitogenome,phylogeny,evolution,and taxonomic revision of Culicidae.

关键词： characterization Culicidae evolution mitogenomes mosquitoes phylogeny

An object detection approach with residual feature fusion and second-order term attention mechanism

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CAAI Transactions on Intelligence Technology 2024年第2期9卷 411-424页

作者： Cuijin Li Zhong Qu Shengye Wang College of Computer science and Technology Chongqing University of Posts and TelecommunicationsChongqingChina College of Electronic Information Chongqing Institute of EngineeringChongqingChina

Automatically detecting and locating remote occlusion small objects from the images of complex traffic environments is a valuable and challenging research.Since the boundary box location is not sufficiently accurate and it is difficult to distinguish overlapping and occluded objects,the authors propose a network model with a second-order term attention mechanism and occlusion loss.First,the backbone network is built on CSPDarkNet53.Then a method is designed for the feature extraction network based on an item-wise attention mechanism,which uses the filtered weighted feature vector to replace the original residual fusion and adds a second-order term to reduce the information loss in the process of fusion and accelerate the convergence of the model.Finally,an objected occlusion regression loss function is studied to reduce the problems of missed detections caused by dense objects.Sufficient experimental results demonstrate that the authors’method achieved state-of-the-art performance without reducing the detection speed.The mAP@.5 of the method is 85.8%on the Foggy_cityscapes dataset and the mAP@.5 of the method is 97.8%on the KITTI dataset.

关键词： artificial intelligence computer vision image processing machine learning neural network object recognition