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  1. Article ; Online: Graphyne and graphdiyne nanoribbons: from their structures and properties to potential applications.

    Liu, Qiaohan / Wang, Xiaorong / Yu, Jing / Wang, Jingang

    Physical chemistry chemical physics : PCCP

    2024  Volume 26, Issue 3, Page(s) 1541–1563

    Abstract: Graphyne (GY) and graphdiyne (GDY) have properties including unique sp- and ... ...

    Abstract Graphyne (GY) and graphdiyne (GDY) have properties including unique sp- and sp
    Language English
    Publishing date 2024-01-17
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 1476244-4
    ISSN 1463-9084 ; 1463-9076
    ISSN (online) 1463-9084
    ISSN 1463-9076
    DOI 10.1039/d3cp04393b
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Multi-source domain adaptation based tempo-spatial convolution network for cross-subject EEG classification in RSVP task.

    Wang, Xuepu / Li, Bowen / Lin, Yanfei / Gao, Xiaorong

    Journal of neural engineering

    2024  Volume 21, Issue 1

    Abstract: Objective. ...

    Abstract Objective.
    MeSH term(s) Humans ; Electroencephalography ; Benchmarking ; Calibration ; Brain-Computer Interfaces
    Language English
    Publishing date 2024-02-16
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2170901-4
    ISSN 1741-2552 ; 1741-2560
    ISSN (online) 1741-2552
    ISSN 1741-2560
    DOI 10.1088/1741-2552/ad2710
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

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  3. Article ; Online: Pt nanoparticles-decorated molybdenum nitrides for efficient hydrogen evolution reaction.

    Wang, Jie / Zhang, Xiaorong

    RSC advances

    2023  Volume 13, Issue 48, Page(s) 34057–34063

    Abstract: Exploring low cost and high efficiency catalysts for hydrogen production from electrochemical water splitting is preferable and remains a significant challenge. As an alternative to Pt-based catalysts, molybdenum nitrides have attracted more attention ... ...

    Abstract Exploring low cost and high efficiency catalysts for hydrogen production from electrochemical water splitting is preferable and remains a significant challenge. As an alternative to Pt-based catalysts, molybdenum nitrides have attracted more attention for their hydrogen evolution reaction (HER). However, their performance is restricted due to the strong bonding of Mo-H. Herein, molybdenum nitrides with Pt-doping are fabricated to enhance the catalytic activity for HER in acidic solution. As expected, Pt (5 wt%)-MoN
    Language English
    Publishing date 2023-11-21
    Publishing country England
    Document type Journal Article
    ISSN 2046-2069
    ISSN (online) 2046-2069
    DOI 10.1039/d3ra06954k
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  4. Article ; Online: High CRP/PNI levels predict an unfavorable prognosis in severe fever with thrombocytopenia syndrome: A propensity score matching study.

    Guo, Chunxia / Wang, Huan / Wang, Xiaorong / Tian, Shan

    Immunity, inflammation and disease

    2024  Volume 12, Issue 2, Page(s) e1184

    Abstract: Background: This study aimed to identify a novel inflammatory index and construct a nomogram for predicting in-hospital mortality due to severe fever with thrombocytopenia syndrome (SFTS).: Methods: This cohort included 610 patients with SFTS ... ...

    Abstract Background: This study aimed to identify a novel inflammatory index and construct a nomogram for predicting in-hospital mortality due to severe fever with thrombocytopenia syndrome (SFTS).
    Methods: This cohort included 610 patients with SFTS hospitalized in Wuhan Union Hospital between March 2017 and November 2022. The ratio of C-reactive protein (CRP) to the prognostic nutritional index (PNI) was calculated and used to reflect patients' inflammatory status. Propensity score matching (PSM) was utilized to balance confounding factors between the low- and high-CRP/PNI groups. SFTS individuals from Jinyinhu Hospital were used as the validation cohort.
    Results: Patients with SFTS and high CRP/PNI were significantly correlated with a higher percentage of severe and critical SFTS types and higher in-hospital mortality rates than those with low CRP/PNI. CRP/PNI was the potent risk indicator for in-hospital mortality in individuals with SFTS. The CRP/PNI nomogram showed a good predictive value for in-hospital mortality in patients with SFTS. After PSM, the predictive performance of CRP/PNI for 28-day mortality was excellent. Finally, the CRP/PNI could still assess patients with SFTS at different risks based on SFTS data from another medical center.
    Conclusion: The CPR/PNI ratio exhibited a strong positive correlation with the SFTS disease type and could predict in-hospital mortality in the early stages of SFTS. The CPR/PNI ratio could substantially help clinicians facilitate the early identification of patients with high-risk SFTS and the timely initiation of intensive therapy.
    MeSH term(s) Humans ; Nutrition Assessment ; Severe Fever with Thrombocytopenia Syndrome ; Propensity Score ; Prognosis ; Nomograms
    Language English
    Publishing date 2024-02-20
    Publishing country England
    Document type Journal Article
    ZDB-ID 2740382-8
    ISSN 2050-4527 ; 2050-4527
    ISSN (online) 2050-4527
    ISSN 2050-4527
    DOI 10.1002/iid3.1184
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  5. Article ; Online: An open dataset for human SSVEPs in the frequency range of 1-60 Hz.

    Gu, Meng / Pei, Weihua / Gao, Xiaorong / Wang, Yijun

    Scientific data

    2024  Volume 11, Issue 1, Page(s) 196

    Abstract: A steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) system relies on the photic driving response to effectively elicit characteristic electroencephalogram (EEG) signals. However, traditional visual stimuli mainly adopt ... ...

    Abstract A steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) system relies on the photic driving response to effectively elicit characteristic electroencephalogram (EEG) signals. However, traditional visual stimuli mainly adopt high-contrast black-and-white flickering stimulations, which are easy to cause visual fatigue. This paper presents an SSVEP dataset acquired at a wide frequency range from 1 to 60 Hz with an interval of 1 Hz using flickering stimuli under two different modulation depths. This dataset contains 64-channel EEG data from 30 healthy subjects when they fixated on a single flickering stimulus. The stimulus was rendered on an LCD display with a refresh rate of 240 Hz. Initially, the dataset was rigorously validated through comprehensive data analysis to investigate SSVEP responses and user experiences. Subsequently, BCI performance was evaluated through offline simulations of frequency-coded and phase-coded BCI paradigms. This dataset provides comprehensive and high-quality data for studying and developing SSVEP-based BCI systems.
    MeSH term(s) Humans ; Algorithms ; Brain-Computer Interfaces ; Electroencephalography ; Evoked Potentials, Visual ; Healthy Volunteers ; Photic Stimulation
    Language English
    Publishing date 2024-02-13
    Publishing country England
    Document type Dataset ; Journal Article
    ZDB-ID 2775191-0
    ISSN 2052-4463 ; 2052-4463
    ISSN (online) 2052-4463
    ISSN 2052-4463
    DOI 10.1038/s41597-024-03023-7
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  6. Article ; Online: A sub-region combination scheme for spatial coding in a high-frequency SSVEP-based BCI.

    Hu, Ruochen / Ming, Gege / Wang, Yijun / Gao, Xiaorong

    Journal of neural engineering

    2023  Volume 20, Issue 4

    Abstract: Objective. ...

    Abstract Objective.
    MeSH term(s) Humans ; Evoked Potentials, Visual ; Brain-Computer Interfaces ; Electroencephalography/methods ; Visual Fields ; Photic Stimulation/methods
    Language English
    Publishing date 2023-07-27
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2170901-4
    ISSN 1741-2552 ; 1741-2560
    ISSN (online) 1741-2552
    ISSN 1741-2560
    DOI 10.1088/1741-2552/ace8bd
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    In stock of ZB MED Cologne/Königswinter

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  7. Article ; Online: A high-performance SSVEP-based BCI using imperceptible flickers.

    Ming, Gege / Pei, Weihua / Gao, Xiaorong / Wang, Yijun

    Journal of neural engineering

    2023  Volume 20, Issue 1

    Abstract: Objective. ...

    Abstract Objective.
    MeSH term(s) Humans ; Brain-Computer Interfaces ; Evoked Potentials, Visual ; Electroencephalography/methods ; Photic Stimulation/methods ; Visual Cortex
    Language English
    Publishing date 2023-02-02
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2170901-4
    ISSN 1741-2552 ; 1741-2560
    ISSN (online) 1741-2552
    ISSN 1741-2560
    DOI 10.1088/1741-2552/acb50e
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  8. Article: HES4

    Tan, Zhiyong / Chen, Xiaorong / Li, Haihao / Huang, Yinglong / Fu, Shi / Ding, Mingxia / Wang, Jiansong / Wang, Haifeng

    Journal of Cancer

    2024  Volume 15, Issue 6, Page(s) 1624–1641

    Abstract: Background: ...

    Abstract Background:
    Language English
    Publishing date 2024-01-21
    Publishing country Australia
    Document type Journal Article
    ZDB-ID 2573318-7
    ISSN 1837-9664
    ISSN 1837-9664
    DOI 10.7150/jca.92657
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  9. Article ; Online: Impact of intraoperative hypothermia on the recovery period of anesthesia in elderly patients undergoing abdominal surgery.

    Yin, Lu / Wang, Heng / Yin, Xiaorong / Hu, Xiuying

    BMC anesthesiology

    2024  Volume 24, Issue 1, Page(s) 124

    Abstract: Background: This study aimed to investigate the impact of intraoperative hypothermia on the recovery period of anesthesia in elderly patients undergoing abdominal surgery.: Methods: A prospective observational study was conducted based on inclusion ... ...

    Abstract Background: This study aimed to investigate the impact of intraoperative hypothermia on the recovery period of anesthesia in elderly patients undergoing abdominal surgery.
    Methods: A prospective observational study was conducted based on inclusion and exclusion criteria. A total of 384 elderly patients undergoing abdominal surgery under general anesthesia were enrolled in a grade A tertiary hospital in Chengdu, Sichuan Province from October 2021 and October 2022. After anesthesia induction, inflatable warming blankets were routinely used for active heat preservation, and nasopharyngeal temperature was monitored to observe the occurrence of intraoperative hypothermia. Patients were divided into hypothermia group and nonhypothermia group according to whether hypothermia occurred during the operation. Anesthesia recovery time and the incidence of adverse events or unwanted events during anesthesia recovery between the two groups were compared.
    Results: The numbers (percentage) of 384 patients who underwent abdominal surgery developed intraoperative hypothermia occurred in 240 (62.5%) patients, all of whom had mild hypothermia. There were statistically significant differences between mild hypothermia after active warming and nonhypothermia in the occurrence of shivering (χ2 = 5.197, P = 0.023) and anesthesia recovery time (Z = -2.269, P = 0.02) in elderly patients undergoing abdominal surgery during anesthesia recovery, and there were no statistically significant differences in hypoxemia, nausea or vomiting, hypertension, hypokalemia, hypocalcemia, analgesic drug use,postoperative wound infection or postoperative hospitalization days.
    Conclusions: The incidence of intraoperative mild hypothermia after active warming was high in elderly patients who underwent abdominal surgery. Mild hypothermia increased the incidence of shivering and prolonged anesthesia recovery time in elderly patients undergoing abdominal surgery.
    MeSH term(s) Humans ; Aged ; Hypothermia/epidemiology ; Hypothermia/etiology ; Body Temperature ; Anesthesia, General/adverse effects ; Shivering ; Surgical Wound Infection/etiology
    Language English
    Publishing date 2024-04-01
    Publishing country England
    Document type Observational Study ; Journal Article
    ZDB-ID 2091252-3
    ISSN 1471-2253 ; 1471-2253
    ISSN (online) 1471-2253
    ISSN 1471-2253
    DOI 10.1186/s12871-024-02509-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Single-Trial EEG Classification Using Spatio-Temporal Weighting and Correlation Analysis for RSVP-Based Collaborative Brain Computer Interface.

    Zhao, Ziwei / Lin, Yanfei / Wang, Yijun / Gao, Xiaorong

    IEEE transactions on bio-medical engineering

    2024  Volume 71, Issue 2, Page(s) 553–562

    Abstract: Objective: Since single brain computer interface (BCI) is limited in performance, it is necessary to develop collaborative BCI (cBCI) systems which integrate multi-user electroencephalogram (EEG) information to improve system performance. However, there ...

    Abstract Objective: Since single brain computer interface (BCI) is limited in performance, it is necessary to develop collaborative BCI (cBCI) systems which integrate multi-user electroencephalogram (EEG) information to improve system performance. However, there are still some challenges in cBCI systems, including effective discriminant feature extraction of multi-user EEG data, fusion algorithms, time reduction of system calibration, etc. Methods: This study proposed an event-related potential (ERP) feature extraction and classification algorithm of spatio-temporal weighting and correlation analysis (STC) to improve the performance of cBCI systems. The proposed STC algorithm consisted of three modules. First, source extraction and interval modeling were used to overcome the problem of inter-trial variability. Second, spatio-temporal weighting and temporal projection were utilized to extract effective discriminant features for multi-user information fusion and cross-session transfer. Third, correlation analysis was conducted to match target/non-target templates for classification of multi-user and cross-session datasets.
    Results: The collaborative cross-session datasets of rapid serial visual presentation (RSVP) from 14 subjects were used to evaluate the performance of the EEG classification algorithm. For single-user/collaborative EEG classification of within-session and cross-session datasets, STC had significantly higher performance than the existing state-of-the-art machine learning algorithms.
    Conclusion: It was demonstrated that STC was effective to improve the classification performance of multi-user collaboration and cross-session transfer for RSVP-based BCI systems, and was helpful to reduce the system calibration time.
    MeSH term(s) Humans ; Brain-Computer Interfaces ; Signal Processing, Computer-Assisted ; Electroencephalography ; Evoked Potentials ; Algorithms
    Language English
    Publishing date 2024-01-19
    Publishing country United States
    Document type Journal Article
    ZDB-ID 160429-6
    ISSN 1558-2531 ; 0018-9294
    ISSN (online) 1558-2531
    ISSN 0018-9294
    DOI 10.1109/TBME.2023.3309255
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