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arXiv 2024年

作者： Zhang, Gaojie Wu, Hao Yang, Li Jin, Wen Xiao, Bichen Zhang, Wenfeng Chang, Haixin State Key Laboratory of Material Processing and Die & Mold Technology School of Materials Science and Engineering Huazhong University of Science and Technology Wuhan430074 China Wuhan National High Magnetic Field Center Institute for Quantum Science and Engineering Huazhong University of Science and Technology Wuhan430074 China Shenzhen R&D Center of Huazhong University of Science and Technology Shenzhen518000 China

Two-dimensional (2d) van der Waals (vdW) magnets with spin-phonon coupling are crucial for next-generation spintronics. Among them, Fe3GaTe2 has attracted widespread attention due to above-room-temperature intrinsic ferromagnetism and large perpendicular magnetic anisotropy. However, the lattice vibrations and the interplay between ferromagnetism and lattice vibrations in Fe3GaTe2 are still unexplored. Here, we report the lattice vibration, raman modes, and room-temperature spin-phonon coupling in 2d Fe3GaTe2 with above-room-temperature Curie temperature (TC). Two typical raman modes with out-of-plane lattice vibrations are identified: A1g1 and A1g2, whose frequencies increase as the thickness decreases from bulk to 2d Fe3GaTe2 due to the weakening of interlayer vdW interactions and spin exchange coupling. Moreover, the difference between phonon band dispersions under ferromagnetic and nonmagnetic interlayer spin ordering indicates the existence of spin-phonon coupling. The phonon frequency diverges from the anharmonic model below TC and thus the strength of spin-phonon coupling is ~0.28 cm-1 at 300 K, which is the first experimental identification of room-temperature spin-phonon coupling in 2d vdW magnets. This work deepens the understanding of novel 2d vdW magnets and provides a basis for spintronic applications at and above room temperature. © 2024, CC BY-NC-SA.

关键词： Lattice vibrations

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NaCl inhibits Geotrichum citri-aurantii growth by inducing lipid droplets accumulation and enhances the biocontrol efficacy of Kloeckera apiculata 34-9

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Horticultural Plant Journal 2025年第1期11卷 455-458页

作者： Juan Zhao Yuqing Wang Qianyi Liu Chaoan Long Faculty of Food Science and Engineering Kunming University of Science and TechnologyKunmingYunnan 650500China National Key Laboratory for Germplasm Innovation&Utilization of Horticultural Crops National R&D Center for Citrus PreservationNational Centre of Citrus BreedingHuazhong Agricultural UniversityWuhanHubei 430070China Shenzhen Institute of Nutrition and Health Huazhong Agricultural UniversityShenzhenGuangdong 518000China Shenzhen Branch Guangdong Laboratoryfor Lingnan Modern AgricultureGenome Analysis Laboratoryof the Ministryof AgricultureAgricultural Genomics Institute at ShenzhenChinese Academy of Agricultural SciencesShenzhenGuangdong 518000China

decays resulting from infections by Geotrichum citri-aurantii cause a significant reduction in citrus postharvest quality and marketable *** the present work,0.8 mol·L^(-1)NaCl of Generally recognized as Safe(GrAS)salts were identified to have complete inhibition activity to *** in vitro and in *** inhibitory mechanism study showed that 0.1 mol·L^(-1)NaCl changed the expression of six genes(Gci002087,Gci003354,Gci000013,Gci000394,Gci003505 and Gci004433)in target of rapamycin(TOr)pathway,thus inducing a large number of lipid droplets(Lds)accumulation with TEM observations and *** vivo,0.1 mol·L^(-1)NaCl could raise up the activities of CAT,PAL,PPO and cellulase which hence to strengthen the ability of resistance tolerance of *** addition,NaCl not only accelerated the growth of the biocontrol yeast Kloeckera apiculata strain 34-9,but also increased the expression level of adhesin-encoding genes and biofilm-formation encoding gene(34-9-3691).Finally,the storage experiments in 3 months demonstrated that the combination of NaCl and the yeast 34-9 could keep fresh,reduce decay and prolong its shelf-life,thus implying that the combination of biocontrol strain and GrAS salts has been explored as a promising alternative to synthetic fungicides.

关键词： NaCl Geotrichum citri-aurantii Kloeckera apiculata Lds Postharvest preservation Citrus

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Graphene enhances artemisinin production in the traditional medicinal plant Artemisia annua via dynamic physiological processes and mirNA regulation

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Plant Communications 2024年第3期5卷 31-46页

作者： Junfeng Cao Zhiwen Chen Luyao Wang Ning Yan Jialing Lin Lipan Hou Yongyan Zhao Chaochen Huang Tingting Wen Chenyi Li Saeed ur rahman Zehui Liu Jun Qiao Jianguo Zhao Jie Wang Yannan Shi Wei Qin Tong Si Yuliang Wang Kexuan Tang Frontiers Science Center for Transformative Molecules Joint International Research Laboratory of Metabolic and Developmental SciencesPlant Biotechnology Research CenterFudan-SJTU Nottingham Plant Biotechnology R&D CenterSchool of Agriculture and BiologyShanghai Jiao Tong UniversityShanghai 200240China Engineering Research Center of Coal-based Ecological Carbon Sequestration Technology of the Ministry of Education Key Laboratory of Graphene Forestry Application of National Forest and Grass AdministrationShanxi Datong UniversityDatong 037009China National Key Laboratory of Plant Molecular Genetics Institute of Plant Physiology and Ecology/CAS Center for Excellence in Molecular Plant SciencesChinese Academy of SciencesShanghai 200032China Hainan Institute Zhejiang UniversityYongyou Industry ParkYazhou Bay Sci-Tech CitySanya 572000China College of Agriculture and Biotechnology Zhejiang UniversityHangzhou 310058China Shandong Provincial Key Laboratory of Dryland Farming Technology College of AgronomyQingdao Agricultural UniversityQingdao 266109China Institute of Millet Crops Hebei Academy of Agriculture&Forestry Sciences/Hebei Branch of China National Sorghum Improvement CenterShijiazhuang 050035China

We investigated the effects of graphene on the model herb Artemisia annua,which is renowned for produc-ing artemisinin,a widely used pharmacological *** growth and biomass were promoted when *** was cultivated with low concentrations of graphene,an effect which was attributed to a 1.4-fold increase in nitrogen uptake,a 15%–22%increase in chlorophyllfluorescence,and greater abun-dance of carbon cycling–related *** to 10 or 20 mg/L graphene resulted in a�60%increase in H2O2,and graphene could act as a catalyst accelerator,leading to a 9-fold increase in catalase(CAT)ac-tivity in vitro and thereby maintaining reactive oxygen species(rOS)***,graphene exposure led to an 80%increase in the density of glandular secreting trichomes(GSTs),in which artemisinin is biosynthesized and *** contributed to a 5%increase in artemisinin content inmature ***-estingly,expression of mir828 was reduced by both graphene and H2O2 treatments,resulting in induction of its target gene AaMYB17,a positive regulator of GST *** molecular and genetic assays showed that graphene-induced H2O2 inhibits micro-rNA(mirNA)biogenesis through dicers and regulates the mir828–AaMYB17 module,thus affecting GST *** results suggest that graphene may contribute to yield improvement in *** via dynamic physiological processes together with mirNA regulation,and it may thus represent a new cultivation strategy for increasing yield capacity through nanobiotechnology.

关键词： Artemisia annua artemisinin glandular secreting trichomes GSTs mirNA graphene

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AlGaN solar-blind phototransistor capable of directly detecting sub-fW signals:self-depletion and photorecovery of full-channel 2dEG enabled by a quasi-pseudomorphic structure

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Photonics research 2023年第7期11卷 1217-1226页

作者： JIABING LU ZESHENG LV HAO JIANG School of Electronics and Information Technology Sun Yat-sen UniversityGuangzhou 510006China State Key Laboratory of Optoelectronic Materials and Technologies Sun Yat-sen UniversityGuangzhou 510006China Guangdong Engineering Technology R&D Center of Compound Semiconductors and Devices Sun Yat-sen UniversityGuangzhou 510006China

Heterojunction field-effect phototransistors using two-dimensional electron gas(2dEG)for carrier transport have great potential in photodetection owing to its large internal gain.A vital factor in this device architecture is the depletion and recovery of the 2dEG under darkness and *** is usually achieved by adding an external gate,which not only increases the complexity of the fabrication and the electrical connection but also has difficulty ensuring low dark current(I_(dark)).Herein,a quasi-pseudomorphic AlGaN heterostructure is proposed to realize the self-depletion and photorecovery of the 2dEG,in which both the barrier and the channel layers are compressively strained,making the piezoelectric and spontaneous polarization reverse,thus depleting the 2dEG and tilting the entire barrier and channel band to form two built-in *** fabricated solar-blind phototransistors exhibit a very low I_(dark)below 7.1×10^(-10)mA∕mm,a superhigh responsivity(r)of 2.9×10^(9)A∕W,a record high detectivity(d^(*))of 4.5×10^(21)Jones,and an ultrafast response speed at the nanosecond *** high performance is attributed to the efficient depletion and recovery of the full 2dEG channel by the two photogates,enabling direct detection of the sub-fW *** work provides a simple,effective,and easily integrated architecture for carrier control and supersensitive photodetection based on polarization semiconductors.

关键词： channel polarization AlGaN

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CLMSI: A Novel Image-Text Named Entity recognition Method Based on Contrast Learning and Multimodal Semantic Interaction

CLMSI: A Novel Image-Text Named Entity Recognition Method Ba...

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International Conference on Behavior, Economic and Social Computing (BESC)

作者： Jiangtao Ma Wenduo Jin Yonggang Chen Fan Zhang Shenyi Qian Yaqiong Qiao College of Computer and Information Engineering Tianjin Normal University Tianjin China School of Computer Science and Technology Zhengzhou University of Light Industry Zhengzhou China The State Information Center China National Digital Switching System Engineering and Technology R&D Center Zhengzhou China College of Cyber Science Nankai University Tianjin China

ISBN: (数字)9798331531904

ISBN: (纸本)9798331531911

Most existing multimodal named entity recognition (MNEr) methods cannot align image and text well, and fail to effectively fuse image-text semantic information, leading to suboptimal MNEr accuracy. To this end, this paper proposes a novel named entity recognition model based on Contrastive Learning and Multimodal Semantic Interaction (named CLMSI). Specifically, to narrow the semantic gap between image-text modalities, making semantically similar image-text representations closer and pushing dissimilar ones further apart, we propose a contrastive learning-based cross-modal alignment method. Moreover, to integrate multimodal information effectively and filter out the noise introduced by image features as thoroughly as possible, we propose to incorporate image descriptions as additional features to enrich the multimodal representation and to reduce the semantic bias of the image information. Extensive experiments conducted on two MNEr benchmark datasets, Twitter-2015 and Twitter-2017, demonstrate the superiority of the proposed method. Further ablation studies and case analyses also affirm the efficacy of CLMSI.

关键词： Visualization Social computing Accuracy Social networking (online) Computational modeling Semantics Noise Named entity recognition Feature extraction data mining

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Using multi-omics analysis to explore diagnostic tool and optimize drug therapy selection for patients with glioma based on cross-talk gene signature

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Oncology research 2024年第12期32卷 1921-1934页

作者： YUSHI YANG CHUJIAO HU SHAN LEI XIN BAO ZHIrUI ZENG WENPENG CAO Department of Pathology and Pathophysiology School of Basic MedicineGuizhou Medical UniversityGuiyang550025China Guizhou Provincial Engineering Technology Research Center for Chemical Drug R&D State Key Laboratory of Functions and Applications of Medicinal PlantsGuizhou Medical UniversityGuiyang550014China Department of Physiology School of Basic MedicineGuizhou Medical UniversityGuiyang550025China Department of Anatomy School of Basic MedicineGuizhou Medical UniversityKey Laboratory of Human Brain Bank for Functions and Diseases of Department of Education of Guizhou ProvinceGuizhou Medical UniversityGuiyang550025China

Background:The heterogeneity of prognosis and treatment beneﬁts among patients with gliomas is due to tumor microenvironment ***,biomarkers that reﬂect microenvironmental characteristics and predict the prognosis of gliomas are ***,we aimed to develop a model that can effectively predict prognosis,differentiate microenvironment signatures,and optimize drug selection for patients with *** and Methods:The CIBErSOrT algorithm,bulk sequencing analysis,and single-cell rNA(scrNA)analysis were employed to identify signiﬁcant cross-talk genes between M2 macrophages and cancer cells in glioma tissues.A predictive model was constructed based on cross-talk gene expression,and its effect on prognosis,recurrence prediction,and microenvironment characteristics was validated in multiple *** effect of the predictive model on drug selection was evaluated using the OncoPredict algorithm and relevant cellular biology ***:A high abundance of M2 macrophages in glioma tissues indicates poor prognosis,and cross-talk between macrophages and cancer cells plays a crucial role in shaping the tumor *** genes involved in the cross-talk between macrophages and cancer cells were identiﬁ*** them,periostin(POSTN),chitinase 3 like 1(CHI3L1),serum amyloid A1(SAA1),and matrix metallopeptidase 9(MMP9)were selected to construct a predictive *** developed model demonstrated signiﬁcant efﬁcacy in distinguishing patient prognosis,recurrent cases,and characteristics of high inﬂammation,hypoxia,and ***,this model can serve as a valuable tool for guiding the use of ***:In summary,this study provides a comprehensive understanding of the interplay between M2 macrophages and cancer cells in glioma;utilizes a cross-talk gene signature to develop a predictive model that can predict the differentiation of patient prognosis,recurrence instances,and microenvironment charact

关键词： Glioma Cross-talk Macrophages Prognosis drug therapy selection

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A Scheme for Authentication and Traceability of 5G Mobile Terminal Based on IPv6 and Blockchain

A Scheme for Authentication and Traceability of 5G Mobile Te...

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International Conference on Wireless Communications and Signal Processing (WCSP)

作者： Xinsheng Ji Ying Zhao Xingxing Liao Jie Yang Chunxiao Wang Department of Computer Science and Technology Tsinghua University Beijing China National Digital Switching System Engineering & Technological R&D Center Zhengzhou China Purple Mountain Laboratories Nanjing China School of Cyber Science and Engineering Southeast University Nanjing China

ISBN: (数字)9798350390643

ISBN: (纸本)9798350390650

To satisfy the service-side requirements for network layer authentication and traceability of users, this paper proposes a method for mobile terminal authentication and identity tracing based on IPv6 and blockchain. Our method introduces a new verification function (VEF) to verify the interface identification between the terminal and the 5G core network (5GC), thereby effectively enhancing the security of terminal access. Furthermore, considering the privacy protection of user identity information to prevent attackers from deducing encrypted content, it is necessary to periodically update encryption keys. Focusing on the practical deployment of VEFs on a network-wide scale and server-proximal for authentication and traceability, a time-varying key sharing scheme based on blockchain is proposed. The experimental section analyzes the communication performance and security of the proposed scheme, showing that our scheme does not significantly degrade the original network performance while providing substantial security gains.

关键词： Wireless communication Privacy 5G mobile communication Authentication Signal processing User experience Blockchains Synchronization Noise measurement Protection

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research on Off-design Performance Prediction Method of diagonal Compressor With Adjustable Guide Vane

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Kung Cheng Je Wu Li Hsueh Pao/Journal of engineering Thermophysics 2025年第3期46卷 777-789页

作者： Zhang, Yuxin Zuo, Zhitao Guo, Wenbin Li, Jingxin Chen, Haisheng Qin, Wei Institute of Engineering Thermophysics Chinese Academy of Science Beijing100190 China University of Chinese Academy of Science Beijing100049 China National Energy Large-scale Physical Energy Storage Technology R&D Center of Bijie High-Tech Industrial Development Zone Bijie551712 China Nanjing Institute of Future Energy System Institute of Engineering Thermophysics Chinese Academy of Science Nanjing211135 China

The diagonal compressor is one of the important types of combined compressors for large-scale compressed air energy storage system (CAES). The off-design performance prediction is crucial in the research and development of the diagonal compressor. It can not only quickly evaluate the initial design parameters, but also select the overall optimal parameters according to the characteristics of the off-design operation of the compressor in CAES. The accuracy of the performance prediction model is essential. In this paper, a one dimensional performance prediction program for the diagonal compressor of the developing large-scale CAES is established by programming, and the optimal selection result of the loss model combination of the program is given through the design point parameters. Then, the off-design loss model is modified by using the flow coefficient, and the results are verified by CFd. The results show that this method can effectively predict the off-design performance of the diagonal compressor under different guide vane openings. © 2025 Science Press. All rights reserved.

关键词： Compressed air energy storage

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Bi2Lane: Bi-directional Temporal refinement with Bi-Level Feature Aggregation for 3d Lane detection

Bi2Lane: Bi-Directional Temporal Refinement with Bi-Level Fe...

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IEEE International Conference on robotics and Automation (ICrA)

作者： Chengxin Li Yihui Hu Zewen Zheng Xiang Gao Yongqiang Mou Peng Nie Jun Li R&D Center Guangzhou Automobile Group Co Ltd. China South China Academy of Advanced Optoelectronics South China Normal University China School of Computer Science and Technology Guangdong University of Technology China School of Information Engineering Guangdong University of Technology China

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

Monocular 3d lane detection has recently received increasing research attention in autonomous driving due to its application effectiveness and simplicity. However, depending solely on the limited semantic information from a single image makes current monocular detection methods unable to deal with complex scenarios, such as occluded, blurred, and unaligned scenes. In this study, we introduce an end-to-end framework named Bi 2 Lane which models temporal dependency in a continuous sequence. It recurrently utilizes detected lanes within historical frames as prior information to achieve robust lane detection. Additionally, Bi 2 Lane employs temporal reverse refinement together with temporal forward refinement to achieve bi-directional temporal refinement (BdTr) while maintaining a robust temporal dependency. For the refined features of different frames, we design a bi-level feature aggregation module (BLFA) to fuse them in both point-level and line-level manners, enabling a comprehensive feature representation to deal with complicated road scenes. Extensive experiments conducted on the OpenLane dataset demonstrate the superiority of Bi 2 Lane, achieving a notable F1 score of 63.8% using a simple resNet50 backbone, surpassing the performance of existing state-of-the-art methods.

关键词： Three-dimensional displays Lane detection Fuses roads Semantics Bidirectional control Feature extraction

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Thermo-responsive Bioseparation Engineered for Human Leukocyte Enrichment Process driven by Functionalized Polypropylene Bio-Separators

SSRN

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SSrN 2022年

作者： Chang, Yung Fu, Ying Hong, Huei-Jhen Venault, Antoine R&D Center for Membrane Technology Department of Chemical Engineering Chung Yuan Christian University Chung-Li 32023 Taiwan

Membrane separation procedures are critical to the field of chemical engineering. Each bioseparation process aims to separate, purify or recover the desired biological product. This research focuses on a new thermo-responsive membrane bioseparation for the human leukocyte enrichment procedure. While leukocytes should be separated from whole blood for safe transfusion, these cells have long been known as efficient biomarkers for medical diagnostic. However, their low relative amount in the blood stream, compared to platelets and erythrocytes, requires a concentration step. In this study, we developed polypropylene membranes with dual functional properties able to selectively catch leukocytes and release them. In these bio-separators, the selective catching property is endowed by a copolymer composed of N-hydroxyethyl acrylamide (HEAA) and butyl methacrylate, referred to as poly(HEAA-co-BMA). The release property is ensured by thermosensitive brushes N-isopropylacrylamide (NIPAAm) contained in poly(NIPAAm-co-BMA) copolymer. After synthesizing and characterizing copolymers with various molar composition, efforts were oriented towards the optimization of each individual property. It was found that H70B30 and N70B30 copolymers (with 70 mol% HEAA or NIPAAm and 30 mol% BMA), provided the best catching and release property, respectively. Then, membranes were coated with both copolymers, characterized and used to selectively catch and release leukocytes. With white blood cell concentrate as the feed, the platelet/leukocyte ratio could be decreased by a 2-fold factor. Using whole blood, the platelet/leukocyte ratio and erythrocyte/leukocyte ratio were divided by 4 and 45, respectively. In other words, leukocytes can be efficiently concentrated using these novel bio-separators, leading to a highly concentrated solution which could benefit their use as biomarkers in diagnosis. © 2022, The Authors. All rights reserved.

关键词： Amides

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