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The RING-H2 gene LdXERICO plays a negative role in dormancy release regulated by low temperature in Lilium davidii var. unicolor

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Horticulture Research 2023年第4期10卷 135-146页

作者： Xinyue Fan Xiaoman Zou Linlan Fu Yue Yang Min Li Chunxia Wang Hongmei Sun Key Laboratory of Protected Horticulture of Education Ministry College of HorticultureShenyang Agricultural UniversityShenyang 110866China National and Local Joint Engineering Research Center of Northern Horticultural Facilities Design and Application Technology Shenyang 110866China

Dormancy regulation is the basis of the sustainable development of the lily ***,basic research on lily dormancy is crucial for innovation in lily cultivation and *** studies revealed that dormancy release largely depends on abscisic acid(ABA)***,the key genes and potential regulatory network remain *** used exogenous ABA and ABA inhibitors to elucidate the effect of ABA on lily *** on the results of weighted gene coexpression network analysis(WGCNA),the hub gene LdXERICO was identified in modules highly related to endogenous ABA,and a large number of coexpressed genes were *** was induced by exogenous ABA and expressed at higher levels in tissues with vigorous physiological *** LdXERICO increased the low-temperature sensitivity of bulblets and accelerated bulblet *** rescued the ABA insensitivity of xerico mutants during seed germination in Arabidopsis,suggesting that it promotes seed dormancy and supporting overexpression studies on lily *** significant increase in ABA levels in transgenic Arabidopsis expressing LdXERICO indicated that LdXERICO played a role by promoting ABA *** generated three transgenic lines by overexpressing LdICE1 in Arabidopsis thaliana and showed that,in contrast to LdXERICO,LdICE1 positively regulated dormancy ***,qRT-PCR confirmed that LdXERICO was epistatic to LdICE1 for dormancy *** propose that LdXERICO,an essential gene in dormancy regulation through the ABA-related pathway,has a complex regulatory network involving temperature *** study provides a theoretical basis for further exploring the mechanism of bulb dormancy release.

关键词： release Arabidopsis network

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electrical stimulation for brighter persistent luminescence

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Light(Science & Applications) 2024年第8期13卷 1590-1601页

作者： Xilin Ma Yuhua Wang Takatoshi Seto Key Laboratory for Special Function Materials and Structural Design of the Ministry of Education National&Local Joint Engineering Laboratory for Optical Conversion Materials and Technology of National Development and Reform CommissionDepartment of Materials ScienceSchool of Materials and EnergyLanzhou UniversityNo.222South Tianshui RoadLanzhouGansu 730000China

An immature understanding of the mechanisms of persistent luminescence(PersL)has hindered the development of new persistent luminescent materials(PersLMs)with increased *** this regard,in-situ direct current(DC)electric field measurements were conducted on a layered structure composed of the SrAl_(2)O_(4):Eu^(2+),Dy^(3+)phosphor,and an *** this study,the photoluminescence(PL)and afterglow properties were investigated with respect to voltage by analyzing the current signal and thermoluminescence(TL)*** intensity of PersL increased due to a novel phenomenon known as“external electric field stimulated enhancement of initial brightness of afterglow”.This dynamic process was illustrated via the use of a rate equation approach,where the electrons trapped by the ultra-shallow trap at 0.022 eV could be transferred through the conduction band during long *** afterglow intensity could reach 0.538 cdm^(-2)at a 6 V electric *** design of an electric field stimulation technique enables the enhancement of the intensity of PersLMs and provides a new perspective for exploring the fundamental mechanics of certain established PersLMs.

关键词： spectroscopy luminescence conduction

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Subway rail transit monitoring by built-in sensor platform of smartphone

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Frontiers of Information technology & Electronic engineering 2020年第8期21卷 1226-1238页

作者： Jian-li CONG Ming-yuan GAO Yuan WANG Rong CHEN Ping WANG School of Civil Engineering Southwest Jiaotong UniversityChengdu 610031China Key Laboratory of High-speed Railway Engineering Ministry of EducationChengdu 610031China College of Engineering and Technology Southwest UniversityChongqing 400716China National&Local Joint Engineering Laboratory of Intelligent Transmission and Control Technology Chongqing 400716China School of System Design and Intelligent Manufacturing Southern University of Science and TechnologyShenzhen 518055China

Smartphone,as a smart device with multiple built-in sensors,can be used for collecting information(e.g.,vibration and location).In this paper,we propose an approach for using the smartphone as a sensing platform to obtain real-time data on vehicle acceleration,velocity,and location through the development of the corresponding application software and thereby achieve the green concept based monitoring of the track condition during subway rail *** tests are conducted to verify the accuracy of smartphones in terms of the obtained data’s standard deviation(SD),Sperling index(SI),and International Organization for Standardization(ISO)-2631 weighted acceleration index(WAI).A vehicle-positioning method,together with the coordinate alignment algorithm for a Global Positioning System(GPS)free tunnel environment,is *** the time-domain integration method,the relationship between the longitudinal acceleration of a vehicle and the subway location is established,and the distance between adjacent stations of the subway is calculated and compared with the actual *** effectiveness of the method is verified,and it is confirmed that this approach can be used in the GPS-free subway tunnel *** is also found that using the proposed vehicle-positioning method,the integral error of displacement of a single subway section can be controlled to within 5%.This study can make full use of smartphones and offer a smart and eco-friendly approach for human life in the field of intelligent transportation systems.

关键词： Acceleration signals Smart monitoring Embedded sensors Smartphones Subway

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An efficient algorithm for constructing underwater sensor barrier 12th

An efficient algorithm for constructing underwater sensor ba...

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12th International Conference on Communications and Networking in China, CHINACOM 2017

作者： Shen, Weiqiang Zhang, Chuanlin Chen, Min-Rong Shi, Jinglun Zeng, Guo-Qiang College of Information Science and Technology Jinan University Guangzhou510632 China School of Computer South China Normal University Guangzhou510631 China School of Electronic and Information Engineering South China University of Technology Guangzhou510641 China National-Local Joint Engineering Laboratory of Digitalize Electrical Design Technology Wenzhou University Wenzhou325035 China

ISBN: (纸本)9783319781389

Most existing works on barrier coverage assume that sensors are deployed in a two-dimensional (2D) long thin belt region, where a barrier is a chain of sensors from one end of the region to the other end with overlapping sensing zones of adjacent sensors. However, 2D sensor barrier construction mechanism cannot be directly applied to three-dimensional (3D) sensor barrier construction problem, such as underwater sensor barrier construction, where sensors are finally distributed over a 3D space. In this paper, we investigate how to efficiently construct an underwater sensor barrier with minimum mobile sensors while reducing energy consumption. We first determine the minimum number of sensors needed for an underwater sensor barrier construction. Furthermore, we analyse the relationship between the initial locations of sensors and the optimal location of the underwater sensor barrier, based on which we derive the optimal final locations for all sensors. Finally, we propose an efficient algorithm to move sensors from their initial locations to final locations. Extensive simulations show that, compared with HungarianK approach, the proposed algorithm costs shorter running time and similar maximum movement distance of any one sensor. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications engineering 2018.

关键词： Wireless sensor networks

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Phytochemical investigation of Rosa laevigata leaves and their chemotaxonomic significance

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Biochemical Systematics and Ecology 2025年 122卷

作者： Cong Wang Lang Qiu Fang He Xuegui Liu Danqi Li Pinyi Gao College of Chemical Engineering Shenyang University of Chemical Technology Shenyang Liaoning 110142 China Institute of Functional Molecules Shenyang University of Chemical Technology Shenyang Liaoning 110142 China Liaoning Province Key Laboratory of Green Functional Molecular Design and Development Shenyang University of Chemical Technology Shenyang Liaoning 110142 China National-Local Joint Engineering Laboratory for Development of Boron and Magnesium Resources and Fine Chemical Technology Shenyang University of Chemical Technology Shenyang Liaoning 110142 China

A phytochemical study of Rosa laevigata Michx. leaves identified 26 compounds, including twenty triterpenoids ( 1 – 20 ), four phenylpropanoid derivatives ( 21–24 ), one diterpene ( 25 ) and one fatty acid derivative ( 26 ). The structures of these compounds were confirmed by using nuclear magnetic resonance (NMR) spectroscopy, and were cross-referenced with literature data, to ensure reliable identification. Compounds 3 , 5 , 6 , 11 , 15 , 18 , 22 , 25 were reported within the genus Rosa and the family Rosaceae for the first time, suggesting unique biochemical traits. In addition, distribution mapping of triterpenoids across 16 plant families (e.g., Rosaceae, Asteraceae, Rubiaceae) was conducted to explore their taxonomic relevance. Triterpenoids, known for their structural diversity, may serve as potential biomarkers for investigating evolutionary or ecological relationships.

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Safe and economical preparation of amino acid-derived bio-based triazine char-forming agent for efficient intumescent flame retardant polypropylene

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Construction and Building Materials 2025年 484卷

作者： Xu, Yue Hu, Haojie Tao, Bin Yin, Ru Liu, Lubin Li, Bin Heilongjiang Key Laboratory of Molecular Design and Preparation of Flame Retarded Materials College of Chemistry Chemical Engineering and Resource Utilization Northeast Forestry University Harbin 150040 China Key Laboratory of Bio-based Material Science and Technology Ministry of Education Northeast Forestry University Harbin 150040 China National and Local Joint Engineering Laboratory for Ecological Utilization of Biological Resources Northeast Forestry University Harbin 150040 China

Triazine intumescent flame retardant (IFR) PP composites have been widely used in electronic appliances, rail transit, and aerospace fields due to their low smoke, high efficiency and environmental friendliness. However, with the increasing attention to safe production and sustainable development, the green and safe synthesis and biomaterialization of traditional triazine char-forming agents have received extensive attention. Herein, a bio-based triazine char-forming agent N-propionyltriazine-ethylenediamine copolymer (PTEC) was successfully prepared by bio-based β-alanine and cyanuric chloride as raw materials under a pure water system for the first time. A novel bio-based IFR (BIFR) system was constructed with ammonium polyphosphate. Only 24 wt% BIFR make PP pass the UL-94 V-0 rating, and the LOI of PP/BIFR was improved to 29.7 %. Compared to pure PP, the smoke and heat release rate of PP/BIFR composites were decreased by 54.5 % and 76.2 %, respectively. The introduction of BIFR promoted the dehydration and charring of PP composites, and released many inert gases during pyrolysis, which led to the rapid expansion of composites. The formed dense and high-strength char layer exerted excellent shielding effect in the condensed phase. In addition, the PP/BIFR composites retained excellent mechanical properties, and the flexural strength and ductility were significantly improved with the addition of BIFR. This study provided a new way for the safe production and biomaterialization of triazine char-forming agents, and the prepared bio-based PP composites with excellent flame retardancy and mechanical properties showed a great application prospect in construction, building materials and other emerging fields. © 2025 Elsevier Ltd

关键词： Bio-based triazine char-forming agent Flame retardant mechanism Intumescent flame retardant Mechanical performance Polypropylene

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Self-luminescence and color-tunable emission in KYb_3F_(10) matrix under different excited sources

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Journal of Rare Earths 2020年第7期38卷 689-696,I0001页

作者： Lili Han Zhijing Zhang Jiang Chen Yirun Zhu Dongcheng Zhu Juan Zhao Wei Shen Zhipeng Ci Key Laboratory of Atomic and Molecular Physics&Functional Materials of Gansu Province College of Physics and Electronic EngineeringNorthwest Normal UniversityLanzhou 730070China Key Laboratory of Special Function Materials and Structure Design Ministry of EducationLanzhou UniversityLanzhou 730000China National&Local Joint Engineering Laboratory for Optical Conversion Materials and Technology Lanzhou UniversityLanzhou 730000China

A self-luminescence KYb3 F10 material was obtained via a mild hydrothermal *** structure,morphology and the corresponding luminescence properties were *** is a self-luminesce nce based on the effective recombination of electron and hole on surface defects or electronic centers in KYb3 *** pH values have significant impact on crystallinity and self-luminescent intensity of target *** the introduction of Tb3+and Eu3+into KYb3 F10 matrix,a series of color-tunable emission can be ***,Tb3+and Eu3+can also affect the self-luminescent intensity of host *** there is no obvious energy transfer between host and activators,Tb3+has a distinct sensitive effect on Eu3+ascribed to the energy transfer between Tb3+and Eu3+.In addition,the thermal stability was carefully investigated,which demonstrate the materials can be as a candidate in fluorescent lamps and displays.

关键词： KYb3F10 Self-luminescence Color-tunable emission Rare earths

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PSA-CLNet: Pedestrian Search Method Based on Polarized Self-Attention and COIM Loss 9

PSA-CLNet: Pedestrian Search Method Based on Polarized Self-...

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9th International Conference on Virtual Reality, ICVR 2023

作者： Fu, Junjie Liu, Rui Yi, Pengfei Dong, Jing Zhou, Dongsheng Wei, Xiaopeng Dalian University National and Local Joint Engineering Laboratory of Computer Aided Design School of Software Engineering Dalian China Dalian University of Technology School of Computer Science and Technology Dalian China

ISBN: (纸本)9798350345810

Pedestrian search is a combined task of pedestrian detection and pedestrian re-identification, i.e., how to find a specific pedestrian in a panoramic picture. However, due to the impact of different imaging conditions and environments, the accuracy of pedestrian search is still low at present, which is difficult to meet the needs of practical applications. To improve the accuracy of pedestrian search, this paper proposes PSA-CLNet pedestrian search method, which integrates polarized self-attention mechanism (PSA) and cosine online instance matching (COIM) loss. Firstly, the channel attention is added to enhance the pedestrian feature information and improve the expression ability of the feature information. Secondly, spatial attention is added to enhance the areas that have more contribution to the pedestrian search task to increase the correlation between the pictures and improve the recognition ability. Meanwhile, this paper proposes a COIM loss based on the online instance matching (OIM) loss. The loss function can enlarge the class distance between pedestrians and background, and reduce the class distance between pedestrians. This could improve the accuracy of pedestrian search algorithm effectively. Finally, this paper uses ResNet as the main backbone network to verify the proposed method. The pedestrian search method proposed in this paper could achieve 96.60% of mAP index and 96.83% of top-1 index in CUHK-SYSU dataset, and achieve 48.78% of mAP index and 88.38% of top-1 index in PRW dataset. © 2023 IEEE.

关键词： COIM loss pedestrian search PSA

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ASFNet: Adaptive multiscale segmentation fusion network for real-time semantic segmentation

ASFNet: Adaptive multiscale segmentation fusion network for ...

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作者： Zha, Hengfeng Liu, Rui Yang, Xin Zhou, Dongsheng Zhang, Qiang Wei, Xiaopeng National and Local Joint Engineering Laboratory of Computer Aided Design School of Software Engineering Dalian University Dalian China School of Computer Science and Technology Dalian University of Technology Dalian China

Recently, the development of deep learning has facilitated continuous progress in the field of computer vision. Pixel-level semantic segmentation serves as a fundamental task in computer vision. It achieves significant results by connecting wider and deeper backbone networks and building fine-grained segmentation heads. However, applications such as self-driving cars are more critical to the computational speed of the algorithms. The trade-off between accuracy and real-time performance of existing algorithms is still a challenging task. To address this challenge, this article proposes an adaptive multiscale segmentation fusion network to fuse multiscale contextual, which designs an adaptive multiscale segmentation fusion module based on an attention mechanism. Using segmentation fusion instead of feature fusion, the multiscale segmentation results are aggregated to obtain more precise segmentation results. The final results achieved 70.9% mIoU of accuracy in the Cityspace test set, processing images at 61 FPS when the input is 1024 × 2048. In addition, when adjusting the input size to 512 × 1024, the images are processed at 185 FPS. © 2021 John Wiley & Sons, Ltd.

关键词： Semantic Segmentation

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ER-Net: Efficient Recalibration Network for Multi-view Multi-person 3D Pose Estimation 8

ER-Net: Efficient Recalibration Network for Multi-view Multi...

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8th International Conference on Virtual Reality, ICVR 2022

作者： Zhou, Mi Liu, Rui Yi, Pengfei Zhou, Dongsheng Zhang, Qiang Wei, Xiaopeng School of Software Engineering Dalian University National and Local Joint Engineering Laboratory of Computer Aided Design Dalian China School of Computer Science and Technology Dalian University of Technology Dalian China

ISBN: (数字)9781665479110

ISBN: (纸本)9781665479110

Multi-view multi-person 3D human pose estimation is a hot topic in the field of human pose estimation due to its wide range of application scenarios. With the introduction of end-To-end direct regression methods, the field has reached a new stage of development. However, the regression results are still not accurate enough even for the optimal method for the joints that are more heavily influenced by external factors. In this paper, we propose an effective feature recalibration module based on the channel attention mechanism and an optimal calibration strategy, which is applied to a multi-view multi-person 3D human pose estimation task backbone network to achieve improved detection accuracy for joints that are more severely affected by external factors. Specifically, we achieve optimal weight adjustment of joint feature information through a recalibration module based on a channel attention mechanism and an optimal calibration strategy, which enables the model to learn the dependencies between joints and the dependencies between people and their corresponding joints. We call this method the Efficient Recalibration Network (ER-Net). Finally, experiments were conducted on two benchmark datasets for this task, Campus, and Shelf, PCP reached 97.3 percent and 98.3 percent, respectively. © 2022 IEEE.

关键词： Computer vision

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