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  1. Article: Induced defense strategies of plants against

    Shi, Haoqi / Liu, Yong / Ding, Anming / Wang, Weifeng / Sun, Yuhe

    Frontiers in microbiology

    2023  Volume 14, Page(s) 1059799

    Abstract: Plants respond ... ...

    Abstract Plants respond to
    Language English
    Publishing date 2023-01-26
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2587354-4
    ISSN 1664-302X
    ISSN 1664-302X
    DOI 10.3389/fmicb.2023.1059799
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Hybrid CNN-Transformer Network for Electricity Theft Detection in Smart Grids.

    Bai, Yu / Sun, Haitong / Zhang, Lili / Wu, Haoqi

    Sensors (Basel, Switzerland)

    2023  Volume 23, Issue 20

    Abstract: Illicitly obtaining electricity, commonly referred to as electricity theft, is a prominent contributor to power loss. In recent years, there has been growing recognition of the significance of neural network models in electrical theft detection (ETD). ... ...

    Abstract Illicitly obtaining electricity, commonly referred to as electricity theft, is a prominent contributor to power loss. In recent years, there has been growing recognition of the significance of neural network models in electrical theft detection (ETD). Nevertheless, the existing approaches have a restricted capacity to acquire profound characteristics, posing a persistent challenge in reliably and effectively detecting anomalies in power consumption data. Hence, the present study puts forth a hybrid model that amalgamates a convolutional neural network (CNN) and a transformer network as a means to tackle this concern. The CNN model with a dual-scale dual-branch (DSDB) structure incorporates inter- and intra-periodic convolutional blocks to conduct shallow feature extraction of sequences from varying dimensions. This enables the model to capture multi-scale features in a local-to-global fashion. The transformer module with Gaussian weighting (GWT) effectively captures the overall temporal dependencies present in the electricity consumption data, enabling the extraction of sequence features at a deep level. Numerous studies have demonstrated that the proposed method exhibits enhanced efficiency in feature extraction, yielding high F1 scores and AUC values, while also exhibiting notable robustness.
    Language English
    Publishing date 2023-10-12
    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/s23208405
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: The adsorption properties and mechanisms of magnetic carbon-silicon composites

    Sun, Chenxu / Pan, Haoqi / Shen, Tingting / Sun, Jing / He, Shaocang / Li, Tianpeng / Lu, Xuqian

    RSC advances

    2024  Volume 14, Issue 7, Page(s) 4890–4903

    Abstract: A novel magnetic carbon-silicon composite (Fe-HH-CGFS) was prepared from solid waste coal gasification fine slag (CGFS) by a two-step acid leaching and one-step chemical co-precipitation process, which was optimized using a 3-factor, 3-level Box-Behnken ... ...

    Abstract A novel magnetic carbon-silicon composite (Fe-HH-CGFS) was prepared from solid waste coal gasification fine slag (CGFS) by a two-step acid leaching and one-step chemical co-precipitation process, which was optimized using a 3-factor, 3-level Box-Behnken design and then analyzed for correlation. Fe-HH-CGFS was characterized by scanning electron microscopy (SEM), X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), Brunauer-Emmett-Teller (BET), thermal gravimetric analysis (TGA), and vibrating sample magnetometer (VSM) measurements. The results demonstrated that Fe-HH-CGFS had a reverse spinel structure with an average particle size of 5.14 nm, exhibiting a microporous/mesoporous structure with a specific surface area (SSA) of 196.84 m
    Language English
    Publishing date 2024-02-06
    Publishing country England
    Document type Journal Article
    ISSN 2046-2069
    ISSN (online) 2046-2069
    DOI 10.1039/d3ra05916b
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Coal gasification crude slag based complex flocculants by two-step acid leaching process: synthesis, flocculation and mechanisms.

    Pan, Haoqi / Sun, Chenxu / Shen, Tingting / Sun, Jing / He, Shaocang / Li, Tianpeng / Lu, Xuqian

    RSC advances

    2024  Volume 14, Issue 4, Page(s) 2705–2719

    Abstract: Coal gasification crude slag (CGCS) is the side-product of the coal gasification process, and its effective utilization has attracted great attention. A novel flocculant of poly-aluminum-ferric-acetate-chloride (PAFAC) was synthesized based on the ... ...

    Abstract Coal gasification crude slag (CGCS) is the side-product of the coal gasification process, and its effective utilization has attracted great attention. A novel flocculant of poly-aluminum-ferric-acetate-chloride (PAFAC) was synthesized based on the recovery of CGCS by a two-step acid leaching process, namely HCl-acid leaching and HAc-acid leaching, which was optimized by an acid leaching liquor volume ratio of HCl to HAc of 3 : 2, polymerization pH of 3.5, and reaction temperature and time of 70 °C and 3.0 h, respectively. The performance of PAFAC was further evaluated by kaolin simulated wastewater, domestic sewage, river water, and aquaculture wastewater. The results revealed that PAFAC was feasible for the removal of turbidity, chemical oxygen demand (COD) and total phosphorus (TP). Moreover, PAFAC was characterized by X-ray Diffraction (XRD), Fourier transform infrared spectroscopy (FT-IR), X-ray fluorescence spectrometry (XRF) and scanning electron microscopy (SEM), which proved that PAFAC was a kind of amorphous polyionic composite. Additionally, the acid leaching kinetics and flocculation mechanisms were further investigated. It was found that the acid leaching process was followed by the unreacted shrinkage core model, and the flocculation process was dominated by charge neutralization, adsorption bridging and precipitation net trapping. The work is expected to develop a new method for the safe disposal of CGCS and provide a novel way for the preparation of Fe-Al composite flocculants, especially, offering a potential strategy for the promotion of the additional value of the coal chemical industry.
    Language English
    Publishing date 2024-01-16
    Publishing country England
    Document type Journal Article
    ISSN 2046-2069
    ISSN (online) 2046-2069
    DOI 10.1039/d3ra07232k
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: CRISPR/Cas systems combined with DNA nanostructures for biomedical applications.

    Sun, Shujuan / Yang, Haoqi / Wu, Ziyong / Zhang, Shusheng / Xu, Jingjuan / Shi, Pengfei

    Chemical communications (Cambridge, England)

    2024  Volume 60, Issue 23, Page(s) 3098–3117

    Abstract: DNA nanostructures are easy to design and construct, have good biocompatibility, and show great potential in biosensing and drug delivery. Numerous distinctive and versatile DNA nanostructures have been developed and explored for biomedical applications. ...

    Abstract DNA nanostructures are easy to design and construct, have good biocompatibility, and show great potential in biosensing and drug delivery. Numerous distinctive and versatile DNA nanostructures have been developed and explored for biomedical applications. In addition to DNA nanostructures that are completely assembled from DNA, composite DNA nanostructures obtained by combining DNA with other organic or inorganic materials are also widely used in related research. The CRISPR/Cas system has attracted great attention as a powerful gene editing technology and is also widely used in biomedical diagnosis. Many researchers are committed to exploring new possibilities by combining DNA nanostructures with CRISPR/Cas systems. These explorations provide support for the development of new detection methods and cargo delivery pathways, provide inspiration for improving relevant gene editing platforms, and further expand the application scope of DNA nanostructures and CRISPR/Cas systems. This paper mainly reviews the design principles and biomedical applications of CRISPR/Cas combined with DNA nanostructures based on the types of DNA nanostructures. Finally, the application status, challenges and development prospects of CRISPR/Cas combined with DNA nanostructures in detection and delivery are summarized. It is expected that this review will enable researchers to better understand the current state of the field and provide insights into the application of CRISPR/Cas systems and the development of DNA nanostructures.
    MeSH term(s) CRISPR-Cas Systems/genetics ; Gene Editing/methods ; Drug Delivery Systems ; DNA
    Chemical Substances DNA (9007-49-2)
    Language English
    Publishing date 2024-03-14
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 1472881-3
    ISSN 1364-548X ; 1359-7345 ; 0009-241X
    ISSN (online) 1364-548X
    ISSN 1359-7345 ; 0009-241X
    DOI 10.1039/d4cc00290c
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  6. Article ; Online: Sample Size Analysis for Machine Learning Clinical Validation Studies

    Daniel M. Goldenholz / Haoqi Sun / Wolfgang Ganglberger / M. Brandon Westover

    Biomedicines, Vol 11, Iss 685, p

    2023  Volume 685

    Abstract: Background: Before integrating new machine learning (ML) into clinical practice, algorithms must undergo validation. Validation studies require sample size estimates. Unlike hypothesis testing studies seeking a p -value, the goal of validating predictive ...

    Abstract Background: Before integrating new machine learning (ML) into clinical practice, algorithms must undergo validation. Validation studies require sample size estimates. Unlike hypothesis testing studies seeking a p -value, the goal of validating predictive models is obtaining estimates of model performance. There is no standard tool for determining sample size estimates for clinical validation studies for machine learning models. Methods: Our open-source method, Sample Size Analysis for Machine Learning (SSAML) was described and was tested in three previously published models: brain age to predict mortality (Cox Proportional Hazard), COVID hospitalization risk prediction (ordinal regression), and seizure risk forecasting (deep learning). Results: Minimum sample sizes were obtained in each dataset using standardized criteria. Discussion: SSAML provides a formal expectation of precision and accuracy at a desired confidence level. SSAML is open-source and agnostic to data type and ML model. It can be used for clinical validation studies of ML models.
    Keywords statistics ; machine learning ; power calculation ; Biology (General) ; QH301-705.5
    Subject code 310
    Language English
    Publishing date 2023-02-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article: Sample Size Analysis for Machine Learning Clinical Validation Studies.

    Goldenholz, Daniel M / Sun, Haoqi / Ganglberger, Wolfgang / Westover, M Brandon

    Biomedicines

    2023  Volume 11, Issue 3

    Abstract: Background: Before integrating new machine learning (ML) into clinical practice, algorithms must undergo validation. Validation studies require sample size estimates. Unlike hypothesis testing studies seeking a : Methods: Our open-source method, ... ...

    Abstract Background: Before integrating new machine learning (ML) into clinical practice, algorithms must undergo validation. Validation studies require sample size estimates. Unlike hypothesis testing studies seeking a
    Methods: Our open-source method, Sample Size Analysis for Machine Learning (SSAML) was described and was tested in three previously published models: brain age to predict mortality (Cox Proportional Hazard), COVID hospitalization risk prediction (ordinal regression), and seizure risk forecasting (deep learning).
    Results: Minimum sample sizes were obtained in each dataset using standardized criteria.
    Discussion: SSAML provides a formal expectation of precision and accuracy at a desired confidence level. SSAML is open-source and agnostic to data type and ML model. It can be used for clinical validation studies of ML models.
    Language English
    Publishing date 2023-02-23
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2720867-9
    ISSN 2227-9059
    ISSN 2227-9059
    DOI 10.3390/biomedicines11030685
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  8. Article ; Online: Exploiting labels from multiple experts in automated sleep scoring.

    Nasiri, Samaneh / Ganglberger, Wolfgang / Sun, Haoqi / Thomas, Robert J / Westover, M Brandon

    Sleep

    2022  Volume 46, Issue 5

    MeSH term(s) Humans ; Sleep ; Sleep Apnea, Obstructive ; Sleep Stages ; Electroencephalography
    Language English
    Publishing date 2022-12-19
    Publishing country United States
    Document type Research Support, Non-U.S. Gov't ; Research Support, N.I.H., Extramural ; Editorial
    ZDB-ID 424441-2
    ISSN 1550-9109 ; 0161-8105
    ISSN (online) 1550-9109
    ISSN 0161-8105
    DOI 10.1093/sleep/zsad034
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    In stock of ZB MED Cologne/Königswinter

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  9. Article: Pathological mechanisms and future therapeutic directions of thrombin in intracerebral hemorrhage: a systematic review.

    Tao, Chenxi / Li, Yuanyuan / An, Na / Liu, Haoqi / Liu, Zhenhong / Sun, Yikun / Qian, Ying / Li, Na / Xing, Yanwei / Gao, Yonghong

    Frontiers in pharmacology

    2024  Volume 15, Page(s) 1293428

    Abstract: Intracerebral hemorrhage (ICH), a common subtype of hemorrhagic stroke, often causes severe disability or death. ICH induces adverse events that might lead to secondary brain injury (SBI), and there is currently a lack of specific effective treatment ... ...

    Abstract Intracerebral hemorrhage (ICH), a common subtype of hemorrhagic stroke, often causes severe disability or death. ICH induces adverse events that might lead to secondary brain injury (SBI), and there is currently a lack of specific effective treatment strategies. To provide a new direction for SBI treatment post-ICH, the systematic review discussed how thrombin impacts secondary injury after ICH through several potentially deleterious or protective mechanisms. We included 39 studies and evaluated them using SYRCLE's ROB tool. Subsequently, we explored the potential molecular mechanisms of thrombin-mediated effects on SBI post-ICH in terms of inflammation, iron deposition, autophagy, and angiogenesis. Furthermore, we described the effects of thrombin in endothelial cells, astrocytes, pericytes, microglia, and neurons, as well as the harmful and beneficial effects of high and low thrombin concentrations on ICH. Finally, we concluded the current research status of thrombin therapy for ICH, which will provide a basis for the future clinical application of thrombin in the treatment of ICH.
    Language English
    Publishing date 2024-04-18
    Publishing country Switzerland
    Document type Systematic Review
    ZDB-ID 2587355-6
    ISSN 1663-9812
    ISSN 1663-9812
    DOI 10.3389/fphar.2024.1293428
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  10. Article ; Online: Genome-wide identification of MAXs genes for strigolactones synthesis/signaling in solanaceous plants and analysis of their potential functions in tobacco.

    Wang, Lixianqiu / Li, Bingjie / Dai, Changbo / Ding, Anming / Wang, Weifeng / Shi, Haoqi / Cui, Mengmeng / Sun, Yuhe / Lv, Jing

    PeerJ

    2023  Volume 11, Page(s) e14669

    Abstract: The more axillary growth ( ...

    Abstract The more axillary growth (
    MeSH term(s) Nicotiana/genetics ; Plant Proteins/genetics ; Signal Transduction/genetics ; Lactones/metabolism
    Chemical Substances GR24 strigolactone ; Plant Proteins ; Lactones
    Language English
    Publishing date 2023-01-12
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2703241-3
    ISSN 2167-8359 ; 2167-8359
    ISSN (online) 2167-8359
    ISSN 2167-8359
    DOI 10.7717/peerj.14669
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