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  1. Article ; Online: An Improved YOLOv5 Algorithm for Vulnerable Road User Detection.

    Yang, Wei / Tang, Xiaolin / Jiang, Kongming / Fu, Yang / Zhang, Xinling

    Sensors (Basel, Switzerland)

    2023  Volume 23, Issue 18

    Abstract: The vulnerable road users (VRUs), being small and exhibiting random movements, increase the difficulty of object detection of the autonomous emergency braking system for vulnerable road users AEBS-VRUs, with their behaviors highly random. To overcome ... ...

    Abstract The vulnerable road users (VRUs), being small and exhibiting random movements, increase the difficulty of object detection of the autonomous emergency braking system for vulnerable road users AEBS-VRUs, with their behaviors highly random. To overcome existing problems of AEBS-VRU object detection, an enhanced YOLOv5 algorithm is proposed. While the Complete Intersection over Union-Loss (CIoU-Loss) and Distance Intersection over Union-Non-Maximum Suppression (DIoU-NMS) are fused to improve the model's convergent speed, the algorithm also incorporates a minor object detection layer to increase the performance of VRU detection. A dataset for complex AEBS-VRUS scenarios is established based on existing datasets such as Caltech, nuScenes, and Penn-Fudan, and the model is trained using migration learning based on the PyTorch framework. A number of comparative experiments using models such as YOLOv6, YOLOv7, YOLOv8 and YOLOx are carried out. The results of the comparative evaluation show that the proposed improved YOLO5 algorithm has the best overall performance in terms of efficiency, accuracy and timeliness of target detection.
    Language English
    Publishing date 2023-09-08
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s23187761
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Extraction, separation and kinetics of phenylethanosides from

    Feng, Chuanhua / Guo, Huiling / Zhao, Xiaojuan / Tang, Xiaolin / Xiong, Yaokun

    Preparative biochemistry & biotechnology

    2023  Volume 53, Issue 8, Page(s) 978–987

    Abstract: In this paper, the total phenylethanosides (TPS) were extracted efficiently by an innovative extraction technology--deep eutectic solvent-based ultrasound-assisted extraction (DES-UAE) ... ...

    Abstract In this paper, the total phenylethanosides (TPS) were extracted efficiently by an innovative extraction technology--deep eutectic solvent-based ultrasound-assisted extraction (DES-UAE) from
    MeSH term(s) Solvents ; Flavonoids ; Deep Eutectic Solvents ; Plantago ; Methanol ; Kinetics ; Water ; Technology ; Ethanol ; Plant Extracts
    Chemical Substances Solvents ; Flavonoids ; Deep Eutectic Solvents ; Methanol (Y4S76JWI15) ; Water (059QF0KO0R) ; Ethanol (3K9958V90M) ; Plant Extracts
    Language English
    Publishing date 2023-01-31
    Publishing country England
    Document type Journal Article
    ZDB-ID 1322522-4
    ISSN 1532-2297 ; 1082-6068
    ISSN (online) 1532-2297
    ISSN 1082-6068
    DOI 10.1080/10826068.2022.2163257
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Extraction, separation and kinetics of phenylethanosides from Plantago asiatica L. by an innovative extraction technology—deep eutectic solvent-based ultrasound-assisted extraction

    Feng, Chuanhua / Guo, Huiling / Zhao, Xiaojuan / Tang, Xiaolin / Xiong, Yaokun

    Preparative Biochemistry & Biotechnology. 2023 Sept. 1, v. 53, no. 8 p.978-987

    2023  

    Abstract: In this paper, the total phenylethanosides (TPS) were extracted efficiently by an innovative extraction technology––deep eutectic solvent-based ultrasound-assisted extraction (DES-UAE) from Plantago asiatica L. Ten diverse types of DESs were synthesized ... ...

    Abstract In this paper, the total phenylethanosides (TPS) were extracted efficiently by an innovative extraction technology––deep eutectic solvent-based ultrasound-assisted extraction (DES-UAE) from Plantago asiatica L. Ten diverse types of DESs were synthesized as alternative extraction solutions. The extraction efficiency of DES-3 (constituted by choline chloride and lactic acid) was much higher than those of other DESs. On the basis of single factor tests and Box-Behnken design (BBD), the optimum processing parameters of DES-UAE as follow: DES-3 with molar ratio of 1:3, extraction temperature 51 °C, solid/liquid 22.5 mg/ml, water content 30%, ultrasonic power 65 W, extraction time 23 min. The extraction efficiency of TPS from Plantago asiatica L. was 8.395 mg/ml, which was more superior than those of organic solvents (water, methanol, 50% methanol, ethanol, 50% ethanol). The extraction kinetics experiment results showed that water content had a significant influence upon the extraction efficiency of TPS. At the same time, AB-8 macroporous resin column was used to efficiently isolate TPS from DES extraction with a recovery rate of 88.5%.
    Keywords Plantago asiatica ; biochemistry ; biotechnology ; choline chloride ; ethanol ; experimental design ; lactic acid ; liquids ; methanol ; porous media ; temperature ; ultrasonic treatment ; ultrasonics ; water content ; Plantago asiatica L. ; deep eutectic solvent ; ultrasound-assisted extraction ; kinetics ; phenylethanosides
    Language English
    Dates of publication 2023-0901
    Size p. 978-987.
    Publishing place Taylor & Francis
    Document type Article ; Online
    ZDB-ID 1322522-4
    ISSN 1532-2297 ; 1082-6068
    ISSN (online) 1532-2297
    ISSN 1082-6068
    DOI 10.1080/10826068.2022.2163257
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  4. Article ; Online: Battery thermal- and cabin comfort-aware collaborative energy management for plug-in fuel cell electric vehicles based on the soft actor-critic algorithm

    Deng, Lei / Li, Shen / Tang, Xiaolin / Yang, Kai / Lin, Xianke

    Energy Conversion and Management. 2023 May, v. 283 p.116889-

    2023  

    Abstract: While the air conditioning system provides a comfortable thermal environment for vehicle occupants, it is also one of the most energy-intensive auxiliary devices in modern vehicles. Meanwhile, the operating characteristic of the battery system ... ...

    Abstract While the air conditioning system provides a comfortable thermal environment for vehicle occupants, it is also one of the most energy-intensive auxiliary devices in modern vehicles. Meanwhile, the operating characteristic of the battery system significantly impacts the economic and safety performance of the vehicle. To improve the energy efficiency of plug-in fuel cell electric vehicles, this paper proposes a collaborative energy management strategy based on the soft actor-critic algorithm, considering battery thermal management and cabin thermal comfort management. First, the soft actor-critic algorithm is implemented in energy management research for fuel cell electric vehicles. Second, by establishing a control-oriented vehicle-integrated thermal management model and adopting a novel air conditioning system design, the coordinated optimization of the battery thermal management and cabin thermal comfort management is achieved. Finally, the collaborative energy management strategy based on the soft actor-critic algorithm is presented to minimize the total operating cost, while maintaining the optimal battery temperature range and cabin thermal comfort. The online testing results demonstrate that the implemented energy management strategy based on the soft actor-critic algorithm can achieve 96.06% fuel economy of the dynamic programming benchmark methodology, while significantly improving computational efficiency. Moreover, the proposed collaborative energy management strategy can effectively improve the overall vehicle fuel economy, manage the battery temperature within the optimal operating range, and maintain cabin thermal comfort. However, with the prolonged operation of the air conditioning system, the total operating cost of the vehicle increases considerably, up to 28.12% or even more, indicating that it is a highly energy-consuming component.
    Keywords administrative management ; air ; algorithms ; batteries ; energy efficiency ; fuel cells ; fuels ; models ; systems engineering ; temperature ; Plug-in fuel cell electric vehicle ; Energy management strategy ; Battery thermal management ; Cabin thermal comfort ; Air conditioning system ; Soft actor-critic
    Language English
    Dates of publication 2023-05
    Publishing place Elsevier Ltd
    Document type Article ; Online
    ZDB-ID 2000891-0
    ISSN 0196-8904
    ISSN 0196-8904
    DOI 10.1016/j.enconman.2023.116889
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  5. Article ; Online: Polyetherimide- and folic acid-modified Fe

    Wang, Qinganzi / Cheng, Yuemei / Wang, Wenhua / Tang, Xiaolin / Yang, Yongxiu

    Journal of biomedical materials research. Part B, Applied biomaterials

    2022  Volume 111, Issue 4, Page(s) 795–804

    Abstract: Recent studies have highlighted the development prospects of magnetic hyperthermia in cancer therapy. A few studies on the application of ... ...

    Abstract Recent studies have highlighted the development prospects of magnetic hyperthermia in cancer therapy. A few studies on the application of Fe
    MeSH term(s) Animals ; Mice ; Humans ; Nanospheres ; Folic Acid/pharmacology ; NIH 3T3 Cells ; Hyperthermia, Induced/methods ; Magnetic Phenomena
    Chemical Substances polyetherimide ; Folic Acid (935E97BOY8)
    Language English
    Publishing date 2022-11-16
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2099992-6
    ISSN 1552-4981 ; 1552-4973 ; 0021-9304
    ISSN (online) 1552-4981
    ISSN 1552-4973 ; 0021-9304
    DOI 10.1002/jbm.b.35190
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Advanced MRI features of intraventricular inflammatory myofibroblastic tumor: a case report.

    Tang, Xiao-Lin / Huang, Wen-Jun / Ma, Qiang / Yi, Kun-Ming

    BMC neurology

    2022  Volume 22, Issue 1, Page(s) 448

    Abstract: Background: Inflammatory myofibroblastic tumor (IMT) is a rare central nervous system (CNS) tumor. We first report a rare case of IMT in the lateral ventricle and describe the magnetic resonance imaging (MRI) findings of the tumor with an emphasis on ... ...

    Abstract Background: Inflammatory myofibroblastic tumor (IMT) is a rare central nervous system (CNS) tumor. We first report a rare case of IMT in the lateral ventricle and describe the magnetic resonance imaging (MRI) findings of the tumor with an emphasis on the advanced MRI features.
    Case presentation: A 49-year-old female patient with headaches and blurred vision for 2 months. Brain MRI revealed a well-circumscribed, lobulated mass occupying the left lateral ventricle trigone, with marked perilesional brain edema. The tumor showed heterogeneous significant hyperintensity on T2-weighted imaging (T2WI) and hypointensity on T1-weighted imaging (T1WI). After the administration of gadolinium, the mass exhibited marked contrast enhancement and the halo sign was observed. On advanced MRI, the lesion showed decreased perfusion on perfusion MRI and reduced diffusion on diffusion-weighted imaging (DWI). On susceptibility-weighted imaging (SWI), there was a punctate low signal intensity in the tumor. The patient underwent surgical resection of the mass and a pathological examination confirmed the lesion to be an inflammatory myofibroblastic tumor with negative expression of anaplastic lymphoma kinase (ALK). This patient had remained healthy without evidence of recurrence during a 20-month follow-up.
    Conclusions: On MRI, marked perilesional brain edema, significant hyperintensity on T2WI, hypoperfusion on perfusion MRI but with an obvious enhancement, no diffusion restriction on DWI, and halo sign may be the characteristic findings of intraventricular IMT. The advanced MRI characteristics could provide abundant information to reflect the histological features and physiological metabolic characteristics of the tumor.
    MeSH term(s) Female ; Humans ; Middle Aged ; Brain Edema ; Magnetic Resonance Imaging ; Gadolinium ; Diffusion Magnetic Resonance Imaging ; Magnetic Resonance Angiography
    Chemical Substances Gadolinium (AU0V1LM3JT)
    Language English
    Publishing date 2022-12-02
    Publishing country England
    Document type Case Reports ; Journal Article
    ZDB-ID 2041347-6
    ISSN 1471-2377 ; 1471-2377
    ISSN (online) 1471-2377
    ISSN 1471-2377
    DOI 10.1186/s12883-022-02993-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Gingipains may be one of the key virulence factors of Porphyromonas gingivalis to impair cognition and enhance blood-brain barrier permeability: An animal study.

    Li, Fulong / Ma, Chunliang / Lei, Shuang / Pan, Yaping / Lin, Li / Pan, Chunling / Li, Qian / Geng, Fengxue / Min, Dongyu / Tang, Xiaolin

    Journal of clinical periodontology

    2024  

    Abstract: Aim: Blood-brain barrier (BBB) disorder is one of the early findings in cognitive impairments. We have recently found that Porphyromonas gingivalis bacteraemia can cause cognitive impairment and increased BBB permeability. This study aimed to find out ... ...

    Abstract Aim: Blood-brain barrier (BBB) disorder is one of the early findings in cognitive impairments. We have recently found that Porphyromonas gingivalis bacteraemia can cause cognitive impairment and increased BBB permeability. This study aimed to find out the possible key virulence factors of P. gingivalis contributing to the pathological process.
    Materials and methods: C57/BL6 mice were infected with P. gingivalis or gingipains or P. gingivalis lipopolysaccharide (P. gingivalis LPS group) by tail vein injection for 8 weeks. The cognitive behaviour changes in mice, the histopathological changes in the hippocampus and cerebral cortex, the alternations of BBB permeability, and the changes in Mfsd2a and Cav-1 levels were measured. The mechanisms of Ddx3x-induced regulation on Mfsd2a by arginine-specific gingipain A (RgpA) in BMECs were explored.
    Results: P. gingivalis and gingipains significantly promoted mice cognitive impairment, pathological changes in the hippocampus and cerebral cortex, increased BBB permeability, inhibited Mfsd2a expression and up-regulated Cav-1 expression. After RgpA stimulation, the permeability of the BBB model in vitro increased, and the Ddx3x/Mfsd2a/Cav-1 regulatory axis was activated.
    Conclusions: Gingipains may be one of the key virulence factors of P. gingivalis to impair cognition and enhance BBB permeability by the Ddx3x/Mfsd2a/Cav-1 axis.
    Language English
    Publishing date 2024-02-27
    Publishing country United States
    Document type Journal Article
    ZDB-ID 188647-2
    ISSN 1600-051X ; 0303-6979
    ISSN (online) 1600-051X
    ISSN 0303-6979
    DOI 10.1111/jcpe.13966
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  8. Article ; Online: Characterization of a novel gammapartitivirus infecting the phytopathogenic fungus Pyricularia oryzae.

    Fan, Yu / Zhao, Wenhua / Tang, XiaoLin / Wang, Li / Yang, Mei / Yang, Yingqing / Cheng, Baoping / Zhou, Erxun / He, Zhenrui

    Archives of virology

    2024  Volume 169, Issue 5, Page(s) 105

    Abstract: In this study, we identified a novel double-strand RNA (dsRNA) mycovirus in Pyricularia oryzae, designated "Magnaporthe oryzae partitivirus 4" (MoPV4). The genome of MoPV4 consists of a dsRNA-1 segment encoding an RNA-dependent RNA polymerase (RdRP) and ... ...

    Abstract In this study, we identified a novel double-strand RNA (dsRNA) mycovirus in Pyricularia oryzae, designated "Magnaporthe oryzae partitivirus 4" (MoPV4). The genome of MoPV4 consists of a dsRNA-1 segment encoding an RNA-dependent RNA polymerase (RdRP) and a dsRNA-2 segment encoding a capsid protein (CP). Phylogenetic analysis indicated that MoPV4 belongs to the genus Gammapartitivirus within family Partitiviridae. The particles of MoPV4 are isometric with a diameter of about 32.4 nm. Three-dimensional structure predictions indicated that the RdRP of MoPV4 forms a classical right-handed conformation, while the CP has a reclining-V shape.
    MeSH term(s) RNA, Viral/genetics ; Phylogeny ; RNA Viruses/genetics ; Ascomycota ; Capsid Proteins/genetics ; RNA-Dependent RNA Polymerase/genetics ; Genome, Viral ; Fungal Viruses/genetics ; RNA, Double-Stranded/genetics ; Open Reading Frames
    Chemical Substances RNA, Viral ; Capsid Proteins ; RNA-Dependent RNA Polymerase (EC 2.7.7.48) ; RNA, Double-Stranded
    Language English
    Publishing date 2024-04-18
    Publishing country Austria
    Document type Journal Article
    ZDB-ID 7491-3
    ISSN 1432-8798 ; 0304-8608
    ISSN (online) 1432-8798
    ISSN 0304-8608
    DOI 10.1007/s00705-024-06031-5
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  9. Article: Calcitriol-enhanced autophagy in gingival epithelium attenuates periodontal inflammation in rats with type 2 diabetes mellitus.

    Wang, Yanan / Huang, Maoting / Xu, Wanlin / Li, Fulong / Ma, Chunliang / Tang, Xiaolin

    Frontiers in endocrinology

    2023  Volume 13, Page(s) 1051374

    Abstract: Type 2 diabetes mellitus (T2DM)-associated periodontitis is a common disease with high prevalence, associated with persistent infection and complicated manifestations. Calcitriol (1 alpha, 25-dihydroxyvitamin D3, 1,25D) is the active form of vitamin D ... ...

    Abstract Type 2 diabetes mellitus (T2DM)-associated periodontitis is a common disease with high prevalence, associated with persistent infection and complicated manifestations. Calcitriol (1 alpha, 25-dihydroxyvitamin D3, 1,25D) is the active form of vitamin D that plays a protective role in immune regulation, bone metabolism, and inflammatory response. In this study, we constructed a T2DM model in rats by combining a high-fat diet with low-dose streptozotocin. The periodontitis model in rats was developed by ligation and
    MeSH term(s) Rats ; Humans ; Animals ; Calcitriol/pharmacology ; Calcitriol/therapeutic use ; Diabetes Mellitus, Type 2/complications ; Diabetes Mellitus, Type 2/drug therapy ; Diabetes Mellitus, Type 2/metabolism ; Inflammation/drug therapy ; Inflammation/complications ; Epithelium/metabolism ; Periodontitis/complications ; Periodontitis/drug therapy ; Autophagy ; Anti-Bacterial Agents/pharmacology
    Chemical Substances Calcitriol (FXC9231JVH) ; Anti-Bacterial Agents
    Language English
    Publishing date 2023-01-10
    Publishing country Switzerland
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2592084-4
    ISSN 1664-2392
    ISSN 1664-2392
    DOI 10.3389/fendo.2022.1051374
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  10. Article: Convex optimization-based predictive and bi-level energy management for plug-in hybrid electric vehicles

    Li, Yapeng / Wang, Feng / Tang, Xiaolin / Hu, Xiaosong / Lin, Xianke

    Energy. 2022 Oct. 15, v. 257

    2022  

    Abstract: Energy management is one of the key technologies to improve the energy efficiency of electrified vehicles. In the existing real-time powertrain control strategies, most studies focus on improving fuel economy based on high-fidelity powertrain models ... ...

    Abstract Energy management is one of the key technologies to improve the energy efficiency of electrified vehicles. In the existing real-time powertrain control strategies, most studies focus on improving fuel economy based on high-fidelity powertrain models without adequately exploring the impact of model accuracy on computational efficiency and energy saving. To address this research gap, this paper proposes a hierarchical control framework to minimize the fuel consumption of a plug-in hybrid electric vehicle. Specifically, three main contributions are presented to distinguish our efforts from existing research. First, two types of powertrain models are used in the optimization framework. In the upper control layer, an approximated model is employed to generate the optimal reference state of charge trajectory using convex optimization. Then in the lower control layer, by integrating the equivalent consumption minimize strategy into the model predictive control framework, the fuel consumption is minimized in real-time by using a high-fidelity powertrain model. Second, optimization results from the other three real-time control strategies and two predictive energy management strategies are presented and analyzed to verify the effectiveness of the proposed method. Finally, the robustness with respect to prediction horizon length, initial co-state value, and gain coefficient value are discussed.
    Keywords energy efficiency ; energy use and consumption ; models ; vehicles (equipment)
    Language English
    Dates of publication 2022-1015
    Publishing place Elsevier Ltd
    Document type Article
    ZDB-ID 2019804-8
    ISSN 0360-5442 ; 0360-5442
    ISSN (online) 0360-5442
    ISSN 0360-5442
    DOI 10.1016/j.energy.2022.124672
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