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  1. Book ; Online: FedDriveScore

    Lu, Lin

    Federated Scoring Driving Behavior with a Mixture of Metric Distributions

    2024  

    Abstract: Scoring the driving performance of various drivers on a unified scale, based on how safe or economical they drive on their daily trips, is essential for the driver profile task. Connected vehicles provide the opportunity to collect real-world driving ... ...

    Abstract Scoring the driving performance of various drivers on a unified scale, based on how safe or economical they drive on their daily trips, is essential for the driver profile task. Connected vehicles provide the opportunity to collect real-world driving data, which is advantageous for constructing scoring models. However, the lack of pre-labeled scores impede the use of supervised regression models and the data privacy issues hinder the way of traditionally data-centralized learning on the cloud side for model training. To address them, an unsupervised scoring method is presented without the need for labels while still preserving fairness and objectiveness compared to subjective scoring strategies. Subsequently, a federated learning framework based on vehicle-cloud collaboration is proposed as a privacy-friendly alternative to centralized learning. This framework includes a consistently federated version of the scoring method to reduce the performance degradation of the global scoring model caused by the statistical heterogeneous challenge of local data. Theoretical and experimental analysis demonstrate that our federated scoring model is consistent with the utility of the centrally learned counterpart and is effective in evaluating driving performance.
    Keywords Computer Science - Machine Learning ; Computer Science - Distributed ; Parallel ; and Cluster Computing
    Subject code 006
    Publishing date 2024-01-12
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Book ; Online: Learning driving style embedding from GPS-derived moving patterns for driver identification

    Lu, Lin

    2024  

    Abstract: Learning fingerprint-like driving style representations is crucial to accurately identify who is behind the wheel in open driving situations. This study explores the learning of driving styles with GPS signals that are currently available in connected ... ...

    Abstract Learning fingerprint-like driving style representations is crucial to accurately identify who is behind the wheel in open driving situations. This study explores the learning of driving styles with GPS signals that are currently available in connected vehicles for short-term driver identification. First, an input driving trajectory is windowed into subtrajectories with fixed time lengths. Then, each subtrajectory is further divided into overlapping dynamic segments. For each segment, the local features are obtained by combining statistical and state transitional patterns. Finally, the driving style embedded in each subtrajectory is learned with the proposed regularized recurrent neural network (RNN) for short-term driver identification. We evaluate the impacts of key factors and the effectiveness of the proposed approach on the identification performance of 5 and 10 drivers. The results show that our proposed neural network structure, which complements movement statistics (MS) with state transitions (ST), provides better prediction performance than existing deep learning methods.
    Keywords Computer Science - Computational Engineering ; Finance ; and Science
    Subject code 006
    Publishing date 2024-01-13
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: From pathogenesis of stress-related mental disorders to treatment: beyond the brain.

    Liu, Xiaoxing / Lu, Lin

    European archives of psychiatry and clinical neuroscience

    2024  Volume 274, Issue 3, Page(s) 473–474

    MeSH term(s) Humans ; Brain ; Mental Disorders/etiology ; Mental Disorders/therapy ; Psychophysiologic Disorders
    Language English
    Publishing date 2024-03-22
    Publishing country Germany
    Document type Editorial
    ZDB-ID 1045583-8
    ISSN 1433-8491 ; 0175-758X ; 0940-1334
    ISSN (online) 1433-8491
    ISSN 0175-758X ; 0940-1334
    DOI 10.1007/s00406-024-01791-2
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  4. Article ; Online: New genera and species of Paraboloponina (Hemiptera: Cicadellidae: Drabescini) from Indonesia.

    Lu, Lin / Zhang, Yalin

    Zootaxa

    2023  Volume 5244, Issue 6, Page(s) 588–594

    Abstract: Guineapona monolophos gen. & sp. nov. and Canopyana apicospina sp. nov. are described from Indonesia. These two leafhopper genera are placed in the subtribe Paraboloponina, based on the elongate antenna, placement of antennal pits near the upper corners ... ...

    Abstract Guineapona monolophos gen. & sp. nov. and Canopyana apicospina sp. nov. are described from Indonesia. These two leafhopper genera are placed in the subtribe Paraboloponina, based on the elongate antenna, placement of antennal pits near the upper corners of the eyes and crown with transverse striations or carinae on the anterior margin.
    MeSH term(s) Animals ; Hemiptera ; Indonesia ; Coleoptera
    Language English
    Publishing date 2023-02-23
    Publishing country New Zealand
    Document type Journal Article
    ISSN 1175-5334
    ISSN (online) 1175-5334
    DOI 10.11646/zootaxa.5244.6.4
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  5. Article ; Online: Integrating substance use and mental health services.

    Bao, Yanping / Lu, Lin

    The lancet. HIV

    2023  Volume 10, Issue 2, Page(s) e74–e75

    MeSH term(s) Humans ; HIV Infections ; Mental Health Services ; Substance-Related Disorders/epidemiology ; Substance-Related Disorders/therapy ; Mental Disorders/epidemiology ; Mental Disorders/therapy
    Language English
    Publishing date 2023-01-31
    Publishing country Netherlands
    Document type Journal Article ; Comment
    ISSN 2352-3018
    ISSN (online) 2352-3018
    DOI 10.1016/S2352-3018(23)00002-4
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  6. Article ; Online: High-quality genome resource of Lasiodiplodia pseudotheobromae associated with die-back on Eucalyptus trees.

    Lu, LinQin / Li, GuoQing / Liu, FeiFei

    BMC genomic data

    2024  Volume 25, Issue 1, Page(s) 2

    Abstract: Objectives: Lasiodiplodia pseudotheobromae is an important fungal pathogen associated with die-back, canker and shoot blight in many plant hosts with a wide geographic distribution. The aim of our study was to provide high-quality genome assemblies and ... ...

    Abstract Objectives: Lasiodiplodia pseudotheobromae is an important fungal pathogen associated with die-back, canker and shoot blight in many plant hosts with a wide geographic distribution. The aim of our study was to provide high-quality genome assemblies and sequence annotation resources of L. pseudotheobromae, to facilitate future studies on the systematics, population genetics and genomics of the fungal pathogen L. pseudotheobromae.
    Data description: High-quality genomes of five L. pseudotheobromae isolates were sequenced based on Oxford Nanopore technology (ONT) and Illumina HiSeq sequencing platform. The total size of each assembly ranged from 43 Mb to 43.86 Mb and over 11,000 protein-coding genes were predicted from each genome. The proteins of predicted genes were annotated using multiple public databases, among the annotated protein-coding genes, more than 4,300 genes were predicted as potential virulence genes by the Pathogen Host Interactions (PHI) database. Moreover, the genome comparative analysis among L. pseudotheobromae and other closely related species revealed that 7,408 gene clusters were shared among them and 152 gene clusters unique to L. pseudotheobromae. This genome and associated datasets provided here will serve as a useful resource for further analyses of this fungal pathogen species.
    MeSH term(s) Trees/genetics ; Eucalyptus/genetics ; Genome ; Ascomycota/genetics
    Language English
    Publishing date 2024-01-02
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 2730-6844
    ISSN (online) 2730-6844
    DOI 10.1186/s12863-023-01187-6
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  7. Article: Cone-beam computed tomographic evaluation of mandibular incisor alveolar bone changes for the intrusion arch technique: A retrospective cohort research.

    Lu, Lin / Si, Jiaping / Wang, Zhikang / Chen, Xiaoyan

    Korean journal of orthodontics

    2024  Volume 54, Issue 2, Page(s) 79–88

    Abstract: Objective: : Alveolar bone loss is a common adverse effect of intrusion treatment. Mandibular incisors are prone to dehiscence and fenestrations as they suffer from thinner alveolar bone thickness.: Methods: : Thirty skeletal class II patients ... ...

    Abstract Objective: : Alveolar bone loss is a common adverse effect of intrusion treatment. Mandibular incisors are prone to dehiscence and fenestrations as they suffer from thinner alveolar bone thickness.
    Methods: : Thirty skeletal class II patients treated with mandibular intrusion arch therapy were included in this study. Lateral cephalograms and cone-beam computed tomography images were taken before treatment (T1) and immediately after intrusion arch removal (T2) to evaluate the tooth displacement and the alveolar bone changes. Pearson's and Spearman's correlation was used to identify risk factors of alveolar bone loss during the intrusion treatment.
    Results: : Deep overbite was successfully corrected (
    Conclusions: : While the mandibular intrusion arch effectively corrected the deep overbite, it did cause some unwanted incisor labial tipping/flaring. During the intrusion treatment, the alveolar bone underwent corresponding changes, which was thinning in the labial crestal area and thickening in the labial apical area vice versa. And increased axis change of incisors, non-extraction treatment, and increased ANB were identified as risk factors for alveolar bone loss in patients with mandibular intrusion therapy.
    Language English
    Publishing date 2024-02-28
    Publishing country Korea (South)
    Document type Journal Article
    ZDB-ID 2888152-7
    ISSN 2234-7518 ; 2234-7518 ; 1225-5610
    ISSN (online) 2234-7518
    ISSN 2234-7518 ; 1225-5610
    DOI 10.4041/kjod23.173
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  8. Article ; Online: Rebuilding the behavioral inhibition circuit to prevent opioid relapse.

    Liu, Xiaoxing / Lu, Tangsheng / Han, Ying / Lu, Lin

    Neuron

    2024  Volume 112, Issue 5, Page(s) 689–691

    Abstract: Failure in behavioral suppression is a key feature in substance use disorders, potentially leading to compulsive drug seeking and relapse. In this issue of Neuron, Paniccia et al. ...

    Abstract Failure in behavioral suppression is a key feature in substance use disorders, potentially leading to compulsive drug seeking and relapse. In this issue of Neuron, Paniccia et al.
    MeSH term(s) Analgesics, Opioid ; Heroin ; Thalamus/physiology ; Neurons/physiology ; Drug-Seeking Behavior
    Chemical Substances Analgesics, Opioid ; Heroin (70D95007SX)
    Language English
    Publishing date 2024-03-07
    Publishing country United States
    Document type Journal Article
    ZDB-ID 808167-0
    ISSN 1097-4199 ; 0896-6273
    ISSN (online) 1097-4199
    ISSN 0896-6273
    DOI 10.1016/j.neuron.2024.01.005
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  9. Article ; Online: Cognitive horizons in chronic pain: unraveling neuroscientific insights and innovative interventions for fibromyalgia.

    Sun, Jie / Liu, Xiaoxing / Lu, Lin

    European archives of psychiatry and clinical neuroscience

    2024  

    Language English
    Publishing date 2024-04-15
    Publishing country Germany
    Document type Editorial
    ZDB-ID 1045583-8
    ISSN 1433-8491 ; 0175-758X ; 0940-1334
    ISSN (online) 1433-8491
    ISSN 0175-758X ; 0940-1334
    DOI 10.1007/s00406-024-01811-1
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  10. Article ; Online: Identification and pathogenicity of six fungal species causing canker and dieback disease on golden rain tree in Beijing, China

    Meng Pan / Lu Lin / Chengming Tian / Xinlei Fan

    Mycology, Vol 14, Iss 1, Pp 37-

    2023  Volume 51

    Abstract: ABSTRACTGolden rain trees (Koelreuteria paniculata) are largely cultivated because of their important ornamental, medicinal, and economic value. However, they are affected by canker and dieback disease to a large extent. To determine the fungi associated ...

    Abstract ABSTRACTGolden rain trees (Koelreuteria paniculata) are largely cultivated because of their important ornamental, medicinal, and economic value. However, they are affected by canker and dieback disease to a large extent. To determine the fungi associated with canker and dieback disease of golden rain trees, isolations were obtained from diseased branches and twigs during 2019 and 2020 in greenbelts and nurseries in Beijing, China. Isolates were identified as six species (Allocryptovalsa castaneicola, Botryosphaeria dothidea, Cytospora koelreutericola sp. nov., Dothiorella acericola, Eutypella citricola, and Peroneutypa scoparia) based on morphological features and phylogenetic analyses of ITS, act, rpb2, tef1-α, and tub2. The results of pathogenicity tests indicated that all fungi produced discoloration and Botryosphaeria dothidea was highly aggressive to golden rain tree. In conclusion, this study explored the taxonomy, phylogeny, and pathogenicity of different fungal species associated with canker and dieback disease on golden rain tree and provided fundamental knowledge to improve disease management.
    Keywords Ascomycota ; morphology ; plant pathogen ; phylogeny ; taxonomy ; Biology (General) ; QH301-705.5 ; Microbiology ; QR1-502
    Subject code 580
    Language English
    Publishing date 2023-01-01T00:00:00Z
    Publisher Taylor & Francis Group
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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