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基于多模态融合的开放域三维模型检索算法

浙江大学学报（工学版） 2024年第1期58卷 61-70页

作者：毛福新杨旭程嘉强彭涛天津职业技术师范大学工程实训中心天津300222 天津华大科技有限公司天津300131 天津职业技术师范大学汽车与交通学院天津300222

为了满足开放域下海量新增模型数据的管理和检索需求,提出开放域三维模型检索算法,可以有效地利用多模态信息的语义一致性.借助无监督算法探寻未知样本间的类别信息,利用该类别信息实现网络模型的参数优化,使得网络模型在开放域条件下... 详细信息

为了满足开放域下海量新增模型数据的管理和检索需求,提出开放域三维模型检索算法,可以有效地利用多模态信息的语义一致性.借助无监督算法探寻未知样本间的类别信息,利用该类别信息实现网络模型的参数优化,使得网络模型在开放域条件下具有更好的模型表征性能及检索结果.提出基于Transformer结构的层级化多模态信息融合模型,有效地剔除了多模态间的冗余信息,得到鲁棒性更强的模型表征向量.在数据集ModelNet40上进行实验,通过与其他典型算法的对比实验可知,所提方法在mAP指标上优于所有的对比方法,验证了该方法在检索性能提升上的有效性.

关键词：机器视觉多模态融合开放域检索三维模型

The OsWRKY72.OsAAT30/OsGSTU2. module mediates reactive oxygen species scavenging to drive heterosis for salt tolerance in hybrid rice

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Journal of Integrative Plant Biology 2024年第4期66卷 709-730页

作者： Citao Liu Bigang mao Yanxia Zhang Lei tian Biao Ma Zhuo Chen Zhongwei Wei Aifu Li Ye Shao Gongye cheng Lingling Li Wenyu Li Di Zhang Xiaoping Ding Jiangxiang Peng Yulin Peng Jiwai He Nenghui Ye Dingyang Yuan chengcai Chu Meijuan Duan Hunan Provincial Key Laboratory of Stress Biology College of AgricultureHunan Agricultural UniversityChangsha 410128China State Key Laboratory of Hybrid Rice Hunan Hybrid Rice Research CenterChangsha 410125China College of Agriculture South China Agricultural UniversityGuangzhou 510642China State Key Laboratory of Wheat and Maize Crop Science Center for Crop Genome EngineeringCollege of AgronomyHenan Agricultural UniversityZhengzhou 450002China College of Horticulture Fujian Agriculture and Forestry UniversityFuzhou 350002China Department of Computational Medicine and Bioinformatics University of MichiganAnn ArborMI 48109 USA Biobin Data Science Co. Ltd.Changsha 410221China

Hybrid rice(Oryza sativa)generally outperforms its inbred parents in yield and stress tolerance,a phenomenon termed heterosis,but the underlying mechanism is not completely ***,we combined transcriptome,proteome,physiological,and heterosis analyses to examine the salt response of super hybrid rice Chaoyou1000(CY1000).In addition to surpassing the mean values for its two parents(mid-parent heterosis),CY1000 exhibited a higher reactive oxygen species scavenging ability than both its parents(over-parent heterosis or heterobeltiosis).Nonadditive expression and allele-specific gene expression assays showed that the glutathione S-transferase gene OsGSTU2. and the amino acid transporter gene OsAAT30 may have major roles in heterosis for salt tolerance,acting in an overdominant fashion in ***,we identified OsWRKY72.as a common transcription factor that binds and regulates OsGSTU2. and *** salt-sensitive phenotypes were associated with the OsWRKY72.(paternal)genotype or the OsAAT30^(maternal)genotype in core rice germplasm ***72.(paternal)specifically repressed the expression of OsGSTU2. under salt stress,leading to salinity sensitivity,while OsWRKY72.(maternal)specifically repressed OsAAT30,resulting in salinity *** results suggest that the OsWRKY72.OsAAT30/OsGSTU2. module may play an important role in heterosis for salt tolerance in an overdominant fashion in CY1000 hybrid rice,providing valuable clues to elucidate the mechanism of heterosis for salinity tolerance in hybrid rice.

关键词： allele-specific gene expression(ASE) heterosis hybrid rice nonadditive effect(NAE) salt tolerance transcriptome and proteome

GATA binding protein 2.mediated ankyrin repeat domain containing 2. high expression in myeloid-derived cell lines

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World Journal of Stem Cells 2024年第5期16卷 538-550页

作者： Yang-Zhou Jiang Lan-Yue Hu mao-Shan Chen Xiao-Jie Wang cheng-Ning Tan Pei-Pei Xue Teng Yu Xiao-Yan He Li-Xin Xiang Yan-Ni Xiao Xiao-Liang Li Qian Ran Zhong-Jun Li Li Chen Laboratory of Radiation Biology Department of Blood TransfusionLaboratory Medicine CenterThe Second Affiliated HospitalThird Military Medical UniversityChongqing 400037China Hematopoietic Acute Radiation Syndrome Medical and Pharmaceutical Basic Research Innovation Center Ministry of Education of the People’s Republic of ChinaChongqing 400037China

BACKGROUND Thrombocytopenia 2.an autosomal dominant inherited disease characterized by moderate thrombocytopenia,predisposition to myeloid malignancies and normal platelet size and function,can be caused by 5’-untranslated region(UTR)point mutations in ankyrin repeat domain containing 2.(ANKRD2.).Runt related transcription factor 1(RUNX1)and friend leukemia integration 1(FLI1)have been identified as negative regulators of ***,the positive regulators of ANKRD2. are still *** To prove the positive regulatory effect of GATA binding protein 2.GATA2.on ANKRD2. *** Human induced pluripotent stem cells derived from bone marrow(hiPSC-BM)INTRODUCTION Ankyrin repeat domain containing protein 2.(ANKRD2.)acts as a regulator of adipogenesis and is involved in the regulation of feeding behavior[1-3].The ANKRD2. gene is located on chromosome 10 and shares regions of homology with the primate-specific gene family *** to the Human Protein Atlas database,the ANKRD2. protein is localized to the Golgi apparatus and vesicles,and its expression can be detected in nearly all human tissues[4].Moreover,UniProt annotation revealed that ANKRD2. is localized in the centrosome and contains coiled-coil domains formed by spectrin helices and ankyrin repeats[5,6].The most common disease related to ANKRD2. is thrombocytopenia 2.THC2.,which is a rare autosomal dominant inherited disease characterized by lifelong mild-to-moderate thrombocytopenia and mild bleeding[7-9].Caused by the variants in the 5’-untranslated region(UTR)of ANKRD2.,THC2.is defined by a decrease in the number of platelets in circulating blood and results in increased bleeding and decreased clotting ability[8,10].Due to the point mutations that occur in the 5’-UTR of ANKRD2.,its negative transcription factors(TFs),Runt related transcription factor 1(RUNX1)and friend leukemia integration 1(FLI1),lose their repression effect[11].The persistent expression of ANKRD2. increases the activi

关键词： Ankyrin repeat domain containing 2. GATA binding protein 2 Thrombocytopenia 2 Transcriptional regulation Myeloid-derived cell lines

鄂尔多斯盆地西缘北段构造地质大剖面解析及棋盘井向斜构造成因新解

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地质科学 2024年第3期59卷 712-722页

作者：邹松何登发成祥毛丹凤中国地质大学(北京)能源学院北京100083

西缘冲断带作为鄂尔多斯盆地的西部边界,地处众多不同性质构造单元的过渡区域,其地质特征十分复杂。近年来,西缘冲断带的油气勘探领域不断拓宽,多期次的构造运动影响了油气从生成、运聚到被破坏的整个过程,对这些构造运动产生的构造变... 详细信息

西缘冲断带作为鄂尔多斯盆地的西部边界,地处众多不同性质构造单元的过渡区域,其地质特征十分复杂。近年来,西缘冲断带的油气勘探领域不断拓宽,多期次的构造运动影响了油气从生成、运聚到被破坏的整个过程,对这些构造运动产生的构造变形样式和过程的研究可以为进一步油气勘探奠定基础。本文选取鄂尔多斯盆地西缘北段一条最新处理的近东西向高精度二维地震测线,结合钻井以及露头资料对其进行精细解析和刻画,并运用2.-move软件对解析后的剖面进行反演与正演模拟。结果表明:1)鄂尔多斯盆地西缘北段棋盘井镇地区的向斜构造为基底复合构造楔向东楔入形成,向斜核部地层加厚与桌子山—横山堡断裂的活动有关;2.过鄂尔多斯盆地西缘北段的构造地质剖面现今长度12. km,经过反演平衡恢复后的剖面长度为137.68 km,累计构造缩短量17.86 km,整体构造缩短率约13%,其中燕山期的缩短量最大,缩短量12.72.km,缩短率为10%;3)根据地层接触关系及构造演化模拟可知棋盘井向斜的形成时间大致在燕山中期,银川地区在该时期为高部位隆起。

关键词：鄂尔多斯盆地西缘棋盘井向斜构造楔构造演化

Application of deep learning methods combined with physical background in wide field of view imaging atmospheric Cherenkov telescopes

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Nuclear Science and Techniques 2024年第4期35卷 208-220页

作者： Ao-Yan cheng Hao Cai Shi Chen Tian-Lu Chen Xiang Dong You-Liang Feng Qi Gao Quan-Bu Gou Yi-Qing Guo Hong-Bo Hu Ming-Ming Kang Hai-Jin Li Chen Liu mao-Yuan Liu Wei Liu Fang-Sheng Min Chu-cheng Pan Bing-Qiang Qiao Xiang-Li Qian Hui-Ying Sun Yu-Chang Sun Ao-Bo Wang Xu Wang Zhen Wang Guang-Guang Xin Yu-Hua Yao Qiang Yuan Yi Zhang School of Physics and Technology Wuhan UniversityWuhan 430072China School of Physics and Astronomy Yunnan UniversityKunming 650091China Ministry of Education The Key Laboratory of Cosmic Rays(Tibet University)Lhasa 850000China Key Laboratory of Particle Astrophysics Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China University of Chinese Academy of Sciences 19 A Yuquan RoadShijingshan DistrictBeijing 100049China College of Physics Sichuan UniversityChengdu 610064China School of Intelligent Engineering Shandong Management UniversityJinan 250357China Tsung‑Dao Lee Institute Shanghai Jiao Tong UniversityShanghai 200240China Suzhou Aerospace Information Research Institute Suzhou 215123China College of Physics Chongqing UniversityNo.55 Daxuecheng South RoadHigh‑tech DistrictChongqing 401331China Key Laboratory of Dark Matter and Space Astronomy Purple Mountain ObservatoryChinese Academy of SciencesNanjing 210008China

The High Altitude Detection of Astronomical Radiation(HADAR)experiment,which was constructed in Tibet,China,combines the wide-angle advantages of traditional EAS array detectors with the high-sensitivity advantages of focused Cherenkov *** objective is to observe transient sources such as gamma-ray bursts and the counterparts of gravitational *** study aims to utilize the latest AI technology to enhance the sensitivity of HADAR *** datasets and models with distinctive creativity were constructed by incorporating the relevant physical theories for various *** models can determine the type,energy,and direction of the incident particles after careful *** obtained a background identification accuracy of 98.6%,a relative energy reconstruction error of 10.0%,and an angular resolution of 0.2.°in a test dataset at 10 *** findings demonstrate the significant potential for enhancing the precision and dependability of detector data analysis in astrophysical *** using deep learning techniques,the HADAR experiment’s observational sensitivity to the Crab Nebula has surpassed that of MAGIC and *** energies below 0.5 TeV and remains competitive with conventional narrow-field Cherenkov telescopes at higher *** addition,our experiment offers a new approach for dealing with strongly connected,scattered data.

关键词： VHE gamma-ray astronomy HADAR Deep learning Convolutional neural networks

Gamma/Hadron Separation Method for the HADAR Experiment

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Research in Astronomy and Astrophysics 2024年第3期24卷 70-74页

作者： Yang-Zhao Ren Tian-Lu Chen You-Liang Feng Dan-Zeng Luo-Bu Yi-Qing Guo cheng Liu Qi Gao mao-Yuan Liu Xiang-Li Qian Ya-Ping Wang Zi-Hao Zhang Xin-Long Li Qing-Yuan Hou Heng-Jiao Liu Qing-Qian Zhou Shan-Jie Shu The Key Laboratory of Cosmic Rays(Tibet University) Ministry of EducationLhasa 850000China Key Laboratory of Particle Astrophysics Institute of High Energy PhysicsChinese Academy of Sciences University of Chinese Academy of Sciences School of Intelligent Engineering Shandong Management University

Ground-based arrays of imaging atmospheric Cherenkov telescopes(IACTs)are the most sensitiveγ-ray detectors for energies of approximately 100 Ge V and *** such IACT is the High Altitude Detection of Astronomical Radiation(HADAR)experiment,which uses a large aperture refractive water lens system to capture atmospheric Cherenkov photons(i.e.,the imaging atmospheric Cherenkov technique).The telescope array has a low threshold energy and large field of view,and can continuously scan the area of the sky being observed,which is conducive to monitoring and promptly responding to transient *** process ofγ-hadron separation is essential in very-high-energy(>30 Ge V)γ-ray astronomy and is a key factor for the successful utilization of *** this study,Monte Carlo simulations were carried out to model the response of cosmic rays within the HADAR *** analyzing the Hillas parameters and the distance between the event core and the telescope,the distinction between air showers initiated byγ-rays and those initiated by cosmic rays was ***,a Quality Factor was introduced to assess the telescope’s ability to suppress the background and to provide a more effective characterization of its performance.

关键词： astroparticle physics-telescopes-methods data analysis

基于FPGA加速的Mask R-CNN稻瘟病高通量自适应识别模型研究

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农业机械学报 2024年第7期55卷 298-304,314页

作者：杨宁程巍张钊源方啸毛罕平江苏大学电气信息工程学院镇江212013 江苏大学农业工程学院镇江212013

针对基于图像的稻瘟病现场检测技术依赖先验知识且受制于算力与田间网络状况,无法实现自适应实时检测的问题,提出一种可利用现场可编程门阵列(Field programmable gate array,FPGA)加速的Mask R-CNN(Mask region-based convolutional ne... 详细信息

针对基于图像的稻瘟病现场检测技术依赖先验知识且受制于算力与田间网络状况,无法实现自适应实时检测的问题,提出一种可利用现场可编程门阵列(Field programmable gate array,FPGA)加速的Mask R-CNN(Mask region-based convolutional neural network)稻瘟病高通量自适应快速识别模型。首先将骨干网络改进为MobileNetV2.利用其倒残差模块降低计算量,提高模型并行处理能力;随后增加用于稻瘟病多尺度特征融合的特征金字塔网络模块,使模型具备多尺度自适应处理能力;最后由全卷积网络(Fully convolutional network,FCN)分支输出稻瘟病病斑的实例分割,同时使用交叉熵损失函数完成稻瘟病的定位与分类。稻瘟病实测数据集对模型的验证结果表明:当输入为全高清图像时,模型平均推理时间减少至85 ms,相较GPU服务器、同级别GPU边缘计算平台,速度分别提高86.2.、63.0%。在交并比为0.6时,准确率可达98.0%,病斑捕获能力平均提升2..2.。提出的Mask R-CNN自适应快速识别模型能够在田间恶劣网络状况下实现稻瘟病的快速现场检测,具有更好的抗噪能力和鲁棒性能,为水稻病害实时检测、察打一体提供了高效实时的片上系统方案。

关键词：稻瘟病检测目标检测 Mask R-CNN 现场可编程门阵列

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GATIS score for predicting the prognosis of rectal neuroendocrine neoplasms:A Chinese multicenter study of 12.year experience

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World Journal of Gastroenterology 2024年第28期30卷 3403-3417页

作者： Xin-Yu Zeng Ming Zhong Guo-Le Lin cheng-Guo Li Wei-Zhong Jiang Wei Zhang Li-Jian Xia mao-Jun Di Hong-Xue Wu Xiao-Feng Liao Yue-Ming Sun Min-Hao Yu Kai-Xiong Tao Yong Li Rui Zhang Peng Zhang Department of Gastrointestinal Surgery Union HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430074Hubei ProvinceChina Department of Gastrointestinal Surgery Renji HospitalSchool of MedicineShanghai Jiao Tong UniversityShanghai 200127China Department of General Surgery Peking Union Medical College HospitalPeking Union Medical CollegeBeijing 100730China Department of Colorectal Surgery Fujian Medical UniversityFuzhou 350401Fujian ProvinceChina Department of Colorectal Surgery Changhai HospitalShanghai 200433China Department of Gastrointestinal Surgery The First Affiliated Hospital of Shandong First Medical UniversityJinan 250118Shandong ProvinceChina Department of Gastrointestinal Surgery Taihe HospitalHubei University of MedicineShiyan 442099Hubei ProvinceChina Department of Gastrointestinal Surgery I Section Renmin Hospital of Wuhan UniversityWuhan 430060Hubei ProvinceChina Department of General Surgery Xiangyang Central HospitalAffiliated Hospital of Hubei University of Arts and ScienceXiangyang 441021Hubei ProvinceChina Department of Colorectal Surgery Jiangsu Province HospitalNanjing Medical UniversityNanjing 210029Jiangsu ProvinceChina Department of Gastrointestinal Surgery School of MedicineShanghai Jiao Tong UniversityShanghai 200127China Department of General Surgery Guangdong Provincial People’s HospitalGuangdong Academy of Medical SciencesGuangzhou 510080Guangdong ProvinceChina Department of Colorectal Surgery Liaoning Cancer HospitalShenyang 110042Liaoning ProvinceChina

BACKGROUND There is currently a shortage of accurate,efficient,and precise predictive instruments for rectal neuroendocrine neoplasms(NENs).AIM To develop a predictive model for individuals with rectal NENs(R-NENs)using data from a large *** Data from patients with primary R-NENs were retrospectively collected from 17 large-scale referral medical centers in *** forest and Cox proportional hazard models were used to identify the risk factors for overall survival and progression-free survival,and two nomograms were *** A total of 1408 patients with R-NENs were *** grade,T stage,tumor size,age,and a prognostic nutritional index were important risk factors for *** GATIS score was calculated based on these five *** overall survival prediction,the respective C-indexes in the training set were 0.915(95%confidence interval:0.866-0.964)for overall survival prediction and 0.908(95%confidence interval:0.872.0.944)for progression-free survival *** to decision curve analysis,net benefit of the GATIS score was higher than that of a single *** time-dependent area under the receiver operating characteristic curve showed that the predictive power of the GATIS score was higher than that of the TNM stage and pathological grade at all time *** The GATIS score had a good predictive effect on the prognosis of patients with R-NENs,with efficacy superior to that of the World Health Organization grade and TNM stage.

关键词： Rectal neuroendocrine neoplasm Nomogram Random forest Prognosis Overall survival Progression-free survival

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特征分离和非阴影信息引导的阴影去除网络

通信学报 2024年第5期45卷 178-190页

作者：黄颖房少杰程彬姜茂钱鹰重庆邮电大学软件工程学院重庆400065 重庆邮电大学计算机科学与技术学院重庆400065

为了解决现有阴影去除方法中存在的性能瓶颈以及去除结果产生的色差问题,构建了一个特征分离和非阴影信息引导的阴影去除网络(FSNIG-ShadowNet)。在分离和重建阶段,利用自重建监督将阴影图像分离成直射光和环境光两部分,对光照类型和反... 详细信息

为了解决现有阴影去除方法中存在的性能瓶颈以及去除结果产生的色差问题,构建了一个特征分离和非阴影信息引导的阴影去除网络(FSNIG-ShadowNet)。在分离和重建阶段,利用自重建监督将阴影图像分离成直射光和环境光两部分,对光照类型和反射率进行特征解耦分离,设计解码器对分离的特征进行重新耦合以获得无阴影图像。在细化阶段,该网络关注阴影和非阴影的邻接区域,设计局部区域自适应归一化模块将局部非阴影区域颜色先验传递至阴影区域以减少两区域间的色差。实验结果表明,所提FSNIG-ShadowNet与其他优秀的方法相比取得了较有竞争力的结果。

关键词：阴影去除特征分离自重建颜色先验