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  1. Article ; Online: Induction of membraneless organelles as a strategy for HIV-1 post-nuclear entry steps.

    Zhou, Sheng / Deng, Hongyu

    Journal of molecular cell biology

    2023  Volume 15, Issue 2

    MeSH term(s) HIV-1 ; Biomolecular Condensates ; Cell Nucleus
    Language English
    Publishing date 2023-03-01
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2500949-7
    ISSN 1759-4685 ; 1759-4685
    ISSN (online) 1759-4685
    ISSN 1759-4685
    DOI 10.1093/jmcb/mjad013
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  2. Article ; Online: Statistical methods for assessing the effects of de novo variants on birth defects.

    Xie, Yuhan / Wu, Ruoxuan / Li, Hongyu / Dong, Weilai / Zhou, Geyu / Zhao, Hongyu

    Human genomics

    2024  Volume 18, Issue 1, Page(s) 25

    Abstract: With the development of next-generation sequencing technology, de novo variants (DNVs) with deleterious effects can be identified and investigated for their effects on birth defects such as congenital heart disease (CHD). However, statistical power is ... ...

    Abstract With the development of next-generation sequencing technology, de novo variants (DNVs) with deleterious effects can be identified and investigated for their effects on birth defects such as congenital heart disease (CHD). However, statistical power is still limited for such studies because of the small sample size due to the high cost of recruiting and sequencing samples and the low occurrence of DNVs. DNV analysis is further complicated by genetic heterogeneity across diseased individuals. Therefore, it is critical to jointly analyze DNVs with other types of genomic/biological information to improve statistical power to identify genes associated with birth defects. In this review, we discuss the general workflow, recent developments in statistical methods, and future directions for DNV analysis.
    MeSH term(s) Humans ; Genetic Heterogeneity ; Genomics ; High-Throughput Nucleotide Sequencing ; Sample Size ; Workflow
    Language English
    Publishing date 2024-03-14
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 2147618-4
    ISSN 1479-7364 ; 1479-7364
    ISSN (online) 1479-7364
    ISSN 1479-7364
    DOI 10.1186/s40246-024-00590-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Real-Time Underwater Wireless Optical Communication System Based on LEDs and Estimation of Maximum Communication Distance.

    Zhang, Minglun / Zhou, Hongyu

    Sensors (Basel, Switzerland)

    2023  Volume 23, Issue 17

    Abstract: This paper presents a real-time underwater wireless optical communication (UWOC) system. The transmitter of our UWOC system is equipped with four blue LEDs, and we have implemented pre-emphasis technology to extend the modulation bandwidth of these LEDs. ...

    Abstract This paper presents a real-time underwater wireless optical communication (UWOC) system. The transmitter of our UWOC system is equipped with four blue LEDs, and we have implemented pre-emphasis technology to extend the modulation bandwidth of these LEDs. At the receiver end, a 3 mm diameter APD is utilized. Both the transmitter and receiver are housed in watertight chassis and are submerged in a water pool to conduct real-time underwater experiments. Through these experiments, we have obtained impressive results. The data rate achieved by our system reaches up to 135 Mbps, with a BER of 5.9 × 10
    Language English
    Publishing date 2023-09-04
    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/s23177649
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  4. Article: Editorial: Self-assembled biodegradable materials for medical sensing, diagnosis, and therapy.

    Hu, Kuan / Meng, Hongyu / Li, Zhou

    Frontiers in chemistry

    2023  Volume 11, Page(s) 1174976

    Language English
    Publishing date 2023-03-08
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2711776-5
    ISSN 2296-2646
    ISSN 2296-2646
    DOI 10.3389/fchem.2023.1174976
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  5. Article: Editorial: Biomedical applications and health impacts of emerging nanostructured materials.

    Jia, Jianbo / Mu, Qingxin / Zhou, Hongyu

    Frontiers in bioengineering and biotechnology

    2023  Volume 11, Page(s) 1282946

    Language English
    Publishing date 2023-09-01
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2719493-0
    ISSN 2296-4185
    ISSN 2296-4185
    DOI 10.3389/fbioe.2023.1282946
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  6. Article: Change in Hydrogen Trapping Characteristics and Influence on Hydrogen Embrittlement Sensitivity in a Medium-Carbon, High-Strength Steel: The Effects of Heat Treatments.

    Tong, Zhi / Wang, Hantong / Zheng, Wenyue / Zhou, Hongyu

    Materials (Basel, Switzerland)

    2024  Volume 17, Issue 8

    Abstract: Medium-carbon, high-strength steels are widely used in the field of hydrogen energy because of their good mechanical properties, and they can be readily tailored by heat treatment processes such as the normalizing-tempering (N&T) and quenching-tempering ( ...

    Abstract Medium-carbon, high-strength steels are widely used in the field of hydrogen energy because of their good mechanical properties, and they can be readily tailored by heat treatment processes such as the normalizing-tempering (N&T) and quenching-tempering (Q&T) methods. The hydrogen embrittlement (HE) susceptibility of a medium-carbon, high-strength steel was investigated utilizing microstructural characterization with scanning electron microscopy (SEM), the electron backscatter diffraction (EBSD) technique, and transmission electron microscopy (TEM). A study was also conducted on the steel's hydrogen transport behavior as affected by the N&T and Q&T treatments. The steel contained more hydrogen traps, such as dislocations, grain boundaries, lath boundaries, and carbide interfaces, after the Q&T process, which was associated with a lower HE sensitivity when comparing the two treatments. In comparison, the N&T process produced larger-size and lesser-density carbides distributed along the grain boundaries, and this resulted in a relatively higher HE susceptibility, as revealed by the slow-strain-rate tensile (SSRT) tests of the hydrogen-charged steels and by the fractographic study of the fracture surface.
    Language English
    Publishing date 2024-04-17
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2487261-1
    ISSN 1996-1944
    ISSN 1996-1944
    DOI 10.3390/ma17081854
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  7. Article ; Online: Seeking information about waste-to-energy incineration projects: The role of objective knowledge and benefit perceptions in an extended PRISM.

    Zeng, Jing / Duan, Hongyu / Zhou, Zhonglin / Song, Jingyan

    Risk analysis : an official publication of the Society for Risk Analysis

    2024  

    Abstract: Although waste-to-energy (WtE) incineration projects have boosted the economic effectiveness of the waste management system, locals frequently view them with suspicion, opposition, or even outright rejection because of potential environmental and health ... ...

    Abstract Although waste-to-energy (WtE) incineration projects have boosted the economic effectiveness of the waste management system, locals frequently view them with suspicion, opposition, or even outright rejection because of potential environmental and health risks. In this study, by incorporating two additional variables, namely, objective knowledge and benefit perceptions, the planned risk information seeking model (PRISM) was extended in the context of the WtE incineration project. A total of 1726 respondents were interviewed in person. Results from the structural equation modeling indicated that the extended PRISM achieved excellent fits, suggesting the generalizability of the model in these contexts. Objective knowledge and subjective knowledge have a positive and direct impact on perceived knowledge insufficiency. The impact of benefit and risk perceptions on worry is the opposite, with risk perceptions having a greater direct effect on worry. However, compared with risk perceptions, the direct effect that benefit perceptions have on perceived knowledge insufficiency is stronger. Additionally, perceived knowledge insufficiency partially or completely mediates the relationships between all antecedents, except perceived seeking control, and information-seeking intention. This study suggests that risk managers carefully consider how to establish powerful communication tactics to shape these antecedents when introducing a "not in my backyard" project to the local community.
    Language English
    Publishing date 2024-02-14
    Publishing country United States
    Document type Journal Article
    ZDB-ID 778660-8
    ISSN 1539-6924 ; 0272-4332
    ISSN (online) 1539-6924
    ISSN 0272-4332
    DOI 10.1111/risa.14282
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    In stock of ZB MED Cologne/Königswinter

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  8. Article ; Online: Using clinical and genetic risk factors for risk prediction of 8 cancers in the UK Biobank.

    Hu, Jiaqi / Ye, Yixuan / Zhou, Geyu / Zhao, Hongyu

    JNCI cancer spectrum

    2024  Volume 8, Issue 2

    Abstract: Background: Models with polygenic risk scores and clinical factors to predict risk of different cancers have been developed, but these models have been limited by the polygenic risk score-derivation methods and the incomplete selection of clinical ... ...

    Abstract Background: Models with polygenic risk scores and clinical factors to predict risk of different cancers have been developed, but these models have been limited by the polygenic risk score-derivation methods and the incomplete selection of clinical variables.
    Methods: We used UK Biobank to train the best polygenic risk scores for 8 cancers (bladder, breast, colorectal, kidney, lung, ovarian, pancreatic, and prostate cancers) and select relevant clinical variables from 733 baseline traits through extreme gradient boosting (XGBoost). Combining polygenic risk scores and clinical variables, we developed Cox proportional hazards models for risk prediction in these cancers.
    Results: Our models achieved high prediction accuracy for 8 cancers, with areas under the curve ranging from 0.618 (95% confidence interval = 0.581 to 0.655) for ovarian cancer to 0.831 (95% confidence interval = 0.817 to 0.845) for lung cancer. Additionally, our models could identify individuals at a high risk for developing cancer. For example, the risk of breast cancer for individuals in the top 5% score quantile was nearly 13 times greater than for individuals in the lowest 10%. Furthermore, we observed a higher proportion of individuals with high polygenic risk scores in the early-onset group but a higher proportion of individuals at high clinical risk in the late-onset group.
    Conclusion: Our models demonstrated the potential to predict cancer risk and identify high-risk individuals with great generalizability to different cancers. Our findings suggested that the polygenic risk score model is more predictive for the cancer risk of early-onset patients than for late-onset patients, while the clinical risk model is more predictive for late-onset patients. Meanwhile, combining polygenic risk scores and clinical risk factors has overall better predictive performance than using polygenic risk scores or clinical risk factors alone.
    MeSH term(s) Male ; Humans ; UK Biobank ; Biological Specimen Banks ; Risk Factors ; Prostatic Neoplasms/diagnosis ; Prostatic Neoplasms/epidemiology ; Prostatic Neoplasms/genetics ; Breast Neoplasms/diagnosis ; Breast Neoplasms/epidemiology ; Breast Neoplasms/genetics
    Language English
    Publishing date 2024-02-16
    Publishing country England
    Document type Journal Article
    ISSN 2515-5091
    ISSN (online) 2515-5091
    DOI 10.1093/jncics/pkae008
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  9. Article: Machine Learning Predictive Model for Septic Shock in Acute Pancreatitis with Sepsis.

    Xia, Yiqin / Long, Hongyu / Lai, Qiang / Zhou, Yiwu

    Journal of inflammation research

    2024  Volume 17, Page(s) 1443–1452

    Abstract: Objective: Acute pancreatitis (AP) progresses to septic shock can be fatal. Early identification of high-risk patients and timely intervention can prevent and interrupt septic shock. By analyzing the clinical characteristics of AP with sepsis, this ... ...

    Abstract Objective: Acute pancreatitis (AP) progresses to septic shock can be fatal. Early identification of high-risk patients and timely intervention can prevent and interrupt septic shock. By analyzing the clinical characteristics of AP with sepsis, this study uses machine learning (ML) to build a model for early prediction of septic shock within 28 days of admission, which guided emergency physicians in resource allocation and medical decision-making.
    Methods: This retrospective cohort study collected data from the emergency departments (EDs) of three tertiary care hospitals in China. The dataset was randomly divided into a training dataset (70%) and a testing dataset (30%). Ten ML classifiers were utilized to analyze characteristics of AP with sepsis in the training dataset upon admission. Results were evaluated through cross-validation analysis. The optimal model was then tested on the testing dataset without any parameter modifications. The ML model was evaluated using the receiver operating characteristic curve (ROC) and compared to scoring systems through the DeLong test.
    Results: A total of 604 AP patients with sepsis were included in this study. The auto-encoder (AE) model based on mean normalization, Pearson correlation coefficient (PCC), and recursive feature elimination (RFE) selection, achieved the highest Area Under the Curve (AUC) on the validation dataset (AUC 0.900, accuracy 0.868), with the AUC of 0.879 and accuracy of 0.790 on the testing dataset. Compared to the Sequential Organ Failure Assessment (AUC 0.741), quick Sequential Organ Failure Assessment (AUC 0.727), Acute Physiology and Chronic Health Evaluation II (AUC 0.778), and Bedside Index of Severity in Acute Pancreatitis (AUC 0.691), the AE model showed superior performance.
    Conclusion: The AE model outperforms traditional scoring systems in predicting septic shock in AP patients with sepsis within 28 days of admission. This assists emergency physicians in identifying high-risk patients early and making timely medical decisions.
    Language English
    Publishing date 2024-03-05
    Publishing country New Zealand
    Document type Journal Article
    ZDB-ID 2494878-0
    ISSN 1178-7031
    ISSN 1178-7031
    DOI 10.2147/JIR.S441591
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  10. Article ; Online: Identifying and monitoring of abandoned farmland in key agricultural production areas on the Qinghai‒Tibet Plateau: A case study of the Huangshui Basin.

    Wang, Juan / Guan, Yanjun / Wang, Hongyu / Zhou, Wei

    Journal of environmental management

    2024  Volume 354, Page(s) 120380

    Abstract: Curbing the continuous abandonment of large areas of farmland is important for meeting the global food demand and promoting agricultural and rural development. Accurate identification is the key to the effective management and utilization of abandoned ... ...

    Abstract Curbing the continuous abandonment of large areas of farmland is important for meeting the global food demand and promoting agricultural and rural development. Accurate identification is the key to the effective management and utilization of abandoned farmland. The identification of abandoned land based on a long time series of remote sensing data has become rapid and effective. Therefore, a set of training and test datasets generated from invariant samples and reference sample sets is established in this paper. On this basis, the Google Earth Engine (GEE) is used to classify Landsat and Sentinel high-precision long-term remote sensing images from 2000 to 2022. In addition, a change detector based on the sliding window algorithm is proposed to extract abandoned farmland in the Huangshui Basin from 2002 to 2020, and the intensity, trend, frequency, reclamation rate and utilization efficiency are analyzed. The results revealed that the OA of land use classification in the Huangshui Basin from 2000 to 2022 was between 0.852 and 0.91, and the kappa coefficient was between 0.822 and 0.89, indicating a good classification effect. From 2002 to 2020, the accumulated abandoned farmland area in the Huangshui Basin continued to increase, showing a fluctuating upward trend, and the phenomenon of farmland abandonment and reclamation occurs repeatedly in some areas. From the overall distribution, the abandoned area gradually increased from the central region to the southeast. With the passage of time, the amount of abandoned farmland in the valley increased gradually, and the abandoned area was transferred from the high mountains to the valley area. The average annual abandonment rate of supplementary farmland was 50.45%, which was much greater than that of basic farmland. Most of the supplementary farmland could not be effectively and judiciously used, and the utilization efficiency was low. The research results provide data support for the reuse of abandoned farmland in ecologically fragile plateau areas, the formulation of targeted strategies, the implementation of timely adjustments, and the establishment of new ideas and methods for the accurate identification of abandoned farmland.
    MeSH term(s) Farms ; Tibet ; Agriculture ; Soil ; Forests ; China
    Chemical Substances Soil
    Language English
    Publishing date 2024-02-24
    Publishing country England
    Document type Journal Article
    ZDB-ID 184882-3
    ISSN 1095-8630 ; 0301-4797
    ISSN (online) 1095-8630
    ISSN 0301-4797
    DOI 10.1016/j.jenvman.2024.120380
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    In stock of ZB MED Bonn / Germany

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