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Enriching Iodine and Regulating Grain Aroma,Appearance Quality,and Yield in Aromatic Rice by Foliar Application of Sodium Iodide

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Rice science 2024年第3期31卷 328-342,I0046-I0054页

作者： hong Weiyuan DUAN Meiyang WANG Yifei CHEN Yongjian MO Zhaowen QI Jianying pan Shenggang TANG Xiangru State Key Laboratory for Conservation and Utilization of Subtropical Agricultural Bioresources South China Agricultural UniversityGuangzhou 510642China Scientific Observing and Experimental Station of Crop Cultivation in South China Ministry of Agriculture and Rural AffairGuangzhou 510642China Guangzhou Key Laboratory for Science and Technology of Aromatic Rice Guangzhou 510642China

Applying iodine fertilizers to cultivate iodine-rich crops for daily intake is an effective approach for iodine supplementation,especially for aromatic rice.Field experiments were conducted during the early growing seasons of 2021 and 2022 to evaluate the impacts of foliar application of iodine fertilizer on aromatic rice and to explore the optimal iodine fertilizer concentration.At the full heading stage,six different concentrations of sodium iodide solutions of 0%(CK),0.010%(T1),0.025%(T2),0.050%(T3),0.075%(T4),and 0.100%(T5)were applied to indica aromatic rice cultivars Meixiangzhan 2 and Xiangyaxiangzhan.The results showed that sodium iodide treatments significantly increased the iodine and sodium contents in both leaves and grains.Compared with the CK,the T1 and T2 treatments increased the 2-acetyl-1-pyrroline(2-AP)content in mature grains by 8.41%-101.66%and 13.58%-74.60%,respectively.Improvements in the contents of 1-pyrroline-5-carboxylic acid,proline,1-pyrroline,and methylglyoxal,as well as the activity of proline dehydrogenase were also detected.Additionally,sodium iodide treatments remarkably decreased the chalky grain rate,chalkiness area,and chalkiness degree of aromatic rice,with the T2 treatment exhibiting a 17.79%-47.42%decrease in chalkiness degree compared with the CK.Meanwhile,T1 and T2 treatments showed beneficial impacts on chlorophyll content,photosynthetic characteristics,and yield components,while T3,T4,and T5 treatments exhibited adverse effects on leaf and grain yields.The linear discriminant analysis revealed significant differences between treatments.The correlation analysis and piecewise structural equation modeling showed that the iodine and sodium influenced the photosynthetic characteristics and chlorophyll content of the leaves,thereby regulating the 2-AP biosynthesis and yield components,ultimately affecting the 2-AP content and yield.Overall,this study suggests that foliar application of 0.025%sodium iodide is an effective method to enrich the iodine content in rice grains,impro

关键词： 2-acetyl-1-pyrroline appearance quality aromatic rice foliar application grain yield iodine

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Author correction to “Tumor-microenvironment activated duplex genome-editing nanoprodrug for sensitized near-infrared titania phototherapy” [Acta Pharm Sin B (2022) 4224-4234]

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Acta Pharmaceutica Sinica B 2024年第2期14卷 897-899页

作者： Zekun Li Yongchun pan Shiyu Du Yayao Li Chao Chen hongxiu Song Yueyao Wu Xiaowei Luan Qin Xu Xiaoxiang Guan Yujun Song xin Han Jiangsu Key Laboratory for Pharmacology and Safety Evaluation of Chinese Materia Medica School of Medicine&Holistic Integrative MedicineJiangsu Joint International Research Laboratory of Chinese Medicine and Regenerative MedicineNanjing University of Chinese MedicineNanjing 210023China College of Engineering and Applied Sciences Jiangsu Key Laboratory of Artificial Functional MaterialsState Key Laboratory of Analytical Chemistry for Life ScienceNanjing UniversityNanjing 210023China Department of Oncology The First Affiliated Hospital of Nanjing Medical UniversityNanjing 210029China

The authors regret that there is an error in the article Fig.5E due to the mistake of copying and pasting in the process of assembling figures and negligence in the proofreading.Although it does not affect the conclusion,it is an obvious error.The authors have now modified as below.The authors apologize for any inconvenience caused to the journal and readers.

关键词： journal correction conclusion

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Mechanisms of liver injuries caused by traditional Chinese medicines

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Hepatobiliary & pancreatic Diseases International 2024年第3期23卷 310-312页

作者： Shui-Fang Jin Qi pan Jin-Peng Zhou Xiao-Ping pan Intensive Care Unit The First Affiliated Hospital of Zhejiang Chinese Medical University(Zhejiang Provincial Hospital of Chinese Medicine)Hangzhou 310006China Institute of Liver Diseases College of Basic Medical SciencesZhejiang Chinese Medical UniversityHangzhou 310053China The Second Clinical Medical College of Zhejiang Chinese Medical University Hangzhou 310056China

Drug-induced liver injury(DILI)is a common adverse drug reaction,which can even result in liver failure[1,2].The Chinese Medical Association issued the Guidelines for the Diagnosis and Treatment of DILI based on the Roussel Uclaf Causality Assessment Method(RUCAM)in 2015[3].A previous study reported that traditional Chinese medicines(TCMs),herbal and dietary supplements,and antituberculosis drugs were the main causes of DILI in China[4].Herb-induced liver injury(HILI)refers to liver injury caused by TCMs,natural drugs,and their related preparations[5].

关键词： drugs tuberculosis TCM

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A Time-Domain Numerical Simulation for Free Motion Responses of Two Ships Advancing in Head Waves

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China Ocean Engineering 2024年第3期38卷 519-530页

作者： pan Su-yong CHENG Yong School of Naval Architecture and Ocean Engineering Jiangsu University of Science and TechnologyZhenjiang 212003China

The constant panel method within the framework of potential flow theory in the time domain is developed for solving the hydrodynamic interactions between two parallel ships with forward speed.When solving problems within a time domain framework,the free water surface needs to simultaneously satisfy both the kinematic and dynamic boundary conditions of the free water surface.This provides conditions for adding artificial damping layers.Using the Runge−Kutta method to solve equations related to time.An upwind differential scheme is used in the present method to deal with the convection terms on the free surface to prevent waves upstream.Through the comparison with the available experimental data and other numerical methods,the present method is proved to have good mesh convergence,and satisfactory results can be obtained.The constant panel method is applied to calculate the hydrodynamic interaction responses of two parallel ships advancing in head waves.Numerical simulations are conducted on the effects of forward speed,different longitudinal and lateral distances on the motion response of two modified Wigley ships in head waves.Then further investigations are conducted on the effects of different ship types on the motion response.

关键词： ship motions time domain simulation forward speed different distances wave loads

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Temporal-spatial Generation of Astrocytes in the Developing Diencephalon

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Neuroscience Bulletin 2024年第1期40卷 1-16页

作者： Wentong hong Pifang Gong xinjie pan Zhonggan Ren Yitong Liu Guibo Qi Jun-Liszt Li Wenzhi Sun Woo-Ping Ge Chun-Li Zhang Shumin Duan Song Qin Department of Anatomy Histology and EmbryologySchool of Basic Medical SciencesFudan UniversityShanghai 200032China Academy for Advanced Interdisciplinary Studies Peking UniversityBeijing 100871China Chinese Institute for Brain Research Beijing 102206China School of Basic Medical Sciences Capital Medical UniversityBeijing 100069China Department of Molecular Biology University of Texas Southwestern Medical CenterDallasTexas 75390-9148USA Department of Neurobiology Key Laboratory of Medical Neurobiology of Ministry of Health of ChinaZhejiang University School of MedicineHangzhou 310058China State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science Fudan UniversityShanghai 200032China

tAstrocytes are the largest glial population in the mammalian brain.However,we have a minimal understanding of astrocyte development,especially fate specification in different regions of the brain.Through lineage tracing of the progenitors of the third ventricle(3V)wall via in-utero electroporation in the embryonic mouse brain,we show the fate specification and migration pattern of astrocytes derived from radial glia along the 3V wall.Unexpectedly,radial glia located in different regions along the 3V wall of the diencephalon produce distinct cell types:radial glia in the upper region produce astrocytes and those in the lower region produce neurons in the diencephalon.With genetic fate mapping analysis,we reveal that the first population of astrocytes appears along the zona incerta in the diencephalon.Astrogenesis occurs at an early time point in the dorsal region relative to that in the ventral region of the developing diencephalon.With transcriptomic analysis of the region-specific 3V wall and lateral ventricle(LV)wall,we identified cohorts of differentially-expressed genes in the dorsal 3V wall compared to the ventral 3V wall and LV wall that may regulate astrogenesis in the dorsal diencephalon.Together,these results demonstrate that the generation of astrocytes shows a spatiotemporal pattern in the developing mouse diencephalon.

关键词： Radial glia Astrocyte specification Lineage tracing Diencephalon Third ventricle

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FlowGANAnomaly: Flow-Based Anomaly Network Intrusion Detection with Adversarial Learning

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Chinese Journal of Electronics 2024年第1期33卷 58-71页

作者： Zeyi LI pan WANG Zixuan WANG School of Computer Science Nanjing University of Posts and Telecommunications School of Modern Posts Nanjing University of Posts and Telecommunications School of Internet of Things Nanjing University of Posts and Telecommunications

In recent years, low recall rates and high dependencies on data labelling have become the biggest obstacle to developing deep anomaly detection(DAD) techniques. Inspired by the success of generative adversarial networks(GANs) in detecting anomalies in computer vision and imaging, we propose an anomaly detection model called Flow GANAnomaly for detecting anomalous traffic in network intrusion detection systems(NIDS). Unlike traditional GAN-based approaches, which are composed of a flow encoder, a convolutional encoder-decoder-encoder, a flow decoder and a convolutional encoder, the architecture of this model consists of a generator(G) and a discriminator(D).Flow GANAnomaly maps the different types of traffic feature data from separate datasets to a uniform feature space,thus can capture the normality of network traffic data more accurately in an adversarial manner to mitigate the problem of the high dependence on data labeling. Moreover, instead of simply detecting the anomalies by the output of D, we proposed a new anomaly scoring method that integrates the deviation between the output of two Gs’ convolutional encoders with the output of D as weighted scores to improve the low recall rate of anomaly detection. We conducted several experiments comparing existing machine learning algorithms and existing deep learning methods(Auto Encoder and VAE) on four public datasets(NSL-KDD, CIC-IDS2017, CIC-DDo S2019, and UNSW-NB15). The evaluation results show that Flow GANAnomaly can significantly improve the performance of anomaly-based NIDS.

关键词： Anomaly detection Unsupervised learning Generative adversarial network Intrusion detection system

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Polynomial-Time Key-Recovery Attacks Against NTRURe Encrypt from ASIACCS'15

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Journal of Systems Science & Complexity 2024年第3期37卷 1308-1325页

作者： LIU Zhen pan Yanbin ZHENG Jinwei School of Cyber Science and Technology Hubei Key Laboratory of Applied MathematicsHubei UniversityWuhan 430062China Key Laboratory of Mathematics Mechanization Academy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing 100190China School of Mathematical Sciences University of Chinese Academy of SciencesBeijing 100190China

In ASIACCS 2015, Nu nez, et al. proposed a proxy re-encryption scheme, named NTRURe Encrypt, based on NTRU, which allows a proxy to translate ciphertext under the delegator’s public key into a re-encrypted ciphertext that can be decrypted correctly by delegatee’s private key. Because of the potential resistance to quantum algorithm, high efficiency and various applications in real life,NTRURe Encrypt has drawn lots of attention and its security has been widely discussed and analyzed.In PQCrypto2019, Liu, et al. proposed two key recovery attacks against it. However, their first attack heavily relies on a weaken decryption oracle, and the second attack needs to collect about 260ciphertexts from the same message by theoretical analysis, which makes both of the attacks unrealistic. In this paper, inspired by the broadcast attack against NTRU, the authors find out that for NTRURe Encrypt the delegator and the delegatee can efficiently recover each other’s private key in polynomial time without any unrealistic assumptions. In addition, the authors also show how to fix NTRURe Encrypt to resist the proposed attacks. As a by-product, the authors also show how to commit broadcast attacks against NTRU 2001 with even dg, which was thought infeasible before.

关键词： Broadcast attack key recovery NTRU NTRUReEncrypt

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Depth-Guided Vision Transformer With Normalizing Flows for Monocular 3D Object Detection

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IEEE/CAA Journal of Automatica Sinica 2024年第3期11卷 673-689页

作者： Cong pan Junran Peng Zhaoxiang Zhang the Center for Research on Intelligent Perception and Computing(CRIPAC) National Laboratory of Pattern Recognition(NLPR)Institute of AutomationChinese Academy of Sciences(CASIA)Beijing 100190 the School of Future Technology University of Chinese Academy of Sciences(UCAS)Beijing 100049China the Huawei Inc. Beijing 100085China IEEE the Institute of Automation Chinese Academy of Sciences(CASIA)Beijing 100190 the University of Chinese Academy of Sciences(UCAS) Beijing 100049 the Centre for Artificial Intelligence and Robotics hong Kong Institute of Science&Innovation Chinese Academy of Sciences(HKISI CAS)Hong Kong 999077China

Monocular 3D object detection is challenging due to the lack of accurate depth information.Some methods estimate the pixel-wise depth maps from off-the-shelf depth estimators and then use them as an additional input to augment the RGB images.Depth-based methods attempt to convert estimated depth maps to pseudo-LiDAR and then use LiDAR-based object detectors or focus on the perspective of image and depth fusion learning.However,they demonstrate limited performance and efficiency as a result of depth inaccuracy and complex fusion mode with convolutions.Different from these approaches,our proposed depth-guided vision transformer with a normalizing flows(NF-DVT)network uses normalizing flows to build priors in depth maps to achieve more accurate depth information.Then we develop a novel Swin-Transformer-based backbone with a fusion module to process RGB image patches and depth map patches with two separate branches and fuse them using cross-attention to exchange information with each other.Furthermore,with the help of pixel-wise relative depth values in depth maps,we develop new relative position embeddings in the cross-attention mechanism to capture more accurate sequence ordering of input tokens.Our method is the first Swin-Transformer-based backbone architecture for monocular 3D object detection.The experimental results on the KITTI and the challenging Waymo Open datasets show the effectiveness of our proposed method and superior performance over previous counterparts.

关键词： Monocular 3D object detection normalizing flows Swin Transformer

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An Encoding-Decoding Framework Based on CNN for circ RNA-RBP Binding Sites Prediction

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Chinese Journal of Electronics 2024年第1期33卷 256-263页

作者： Yajing GUO Xiujuan LEI Yi pan School of Computer Science Shaanxi Normal University Faculty of Computer Science and Control Engineering Shenzhen Institute of Advanced TechnologyChinese Academy of Sciences Department of Computer Science Georgia State University

Predicting RNA binding protein(RBP) binding sites on circular RNAs(circ RNAs) is a fundamental step to understand their interaction mechanism. Numerous computational methods are developed to solve this problem, but they cannot fully learn the features. Therefore, we propose circ-CNNED, a convolutional neural network(CNN)-based encoding and decoding framework. We first adopt two encoding methods to obtain two original matrices. We preprocess them using CNN before fusion. To capture the feature dependencies, we utilize temporal convolutional network(TCN) and CNN to construct encoding and decoding blocks, respectively. Then we introduce global expectation pooling to learn latent information and enhance the robustness of circ-CNNED. We perform circ-CNNED across 37 datasets to evaluate its effect. The comparison and ablation experiments demonstrate that our method is superior. In addition, motif enrichment analysis on four datasets helps us to explore the reason for performance improvement of circ-CNNED.

关键词： Circular RNAs (circRNAs) RNA binding proteins Convolutional neural network Temporal convolutional network Encoder-decoder network

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Research progress on insomnia treated by traditional Chinese medicine and acupuncture based on microbial-gut-brain axis theory

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World Journal of Clinical Cases 2024年第18期12卷 3314-3320页

作者： Li-Min pan Zhi-Bo hong Rui-Qian Guan Department of Outpatient Deputy Chief Physician The First Affiliated Hospital of Heilongjiang University of Chinese MedicineHaerbin 150010Heilongjiang ProvinceChina School of Heilongjiang University of Chinese Medicine Graduate Heilongjiang University of Chinese MedicineHaerbin 150000Heilongjiang ProvinceChina Heilongjiang University of Chinese Medicine The Second Affiliated Hospital of Heilongjiang University of Chinese MedicineHaerbin 150010Heilongjiang ProvinceChina

Insomnia,as one of the emotional diseases,has been increasing in recent years,which has a great impact on people's life and work.Therefore,researchers are eager to find a more perfect treatment.The microbiome-gut-brain axis is a new theory that has gradually become popular abroad in recent years and has a profound impact in the field of insomnia.In recent years,traditional Chinese medicine(TCM)has played an increasingly important role in the treatment of insomnia,especially acupuncture and Chinese herbal medicine.It is the main method of TCM in the treatment of insomnia.This paper mainly reviews the combination degree of"microorganism-gut-brain axis"theory with TCM and acupuncture under the system of TCM.To explore the mechanism of TCM and acupuncture in the treatment of insomnia under the guidance of"microorganismgut-brain axis"theory,in order to provide a new idea for the diagnosis and treatment of insomnia.

关键词： Insomnia Microorganism Intestine-brain axis Traditional Chinese medicine Acupuncture and moxibustion

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