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  1. Article ; Online: Chromatin-interacting RNA-binding proteins regulate transcription.

    Chen, Xiaolan / Huang, Chuan

    Trends in cell biology

    2023  Volume 33, Issue 8, Page(s) 625–629

    Abstract: RNA-binding proteins (RBPs) are essential regulators involved in the fate determination of diverse RNA species; however, emerging evidence indicates that a subset of RBPs may physically interact with chromatin and function at the transcriptional level. ... ...

    Abstract RNA-binding proteins (RBPs) are essential regulators involved in the fate determination of diverse RNA species; however, emerging evidence indicates that a subset of RBPs may physically interact with chromatin and function at the transcriptional level. Here, we highlight the recently discovered mechanisms of chromatin-interacting RBPs (ChRBPs) in the regulation of chromatin/transcriptional activities.
    MeSH term(s) Humans ; Chromatin/genetics ; RNA ; RNA-Binding Proteins/genetics ; RNA-Binding Proteins/metabolism
    Chemical Substances Chromatin ; RNA (63231-63-0) ; RNA-Binding Proteins
    Language English
    Publishing date 2023-06-01
    Publishing country England
    Document type Journal Article
    ZDB-ID 30122-x
    ISSN 1879-3088 ; 0962-8924
    ISSN (online) 1879-3088
    ISSN 0962-8924
    DOI 10.1016/j.tcb.2023.05.006
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Analysis of Risk Factors and Screening Results of Neonatal Congenital Hypothyroidism in a Tertiary Care Center of Southern China.

    Yan, Xueqin / Wang, Li / Chen, Xiaolan / Wang, Anru

    Journal of multidisciplinary healthcare

    2023  Volume 16, Page(s) 741–749

    Abstract: Objective: To explore the risk factors for neonatal congenital hypothyroidism (CH) and the influencing factors of false-positive results in CH screening.: Methods: In this study, 255 neonatal patients with CH who completed the screening and further ... ...

    Abstract Objective: To explore the risk factors for neonatal congenital hypothyroidism (CH) and the influencing factors of false-positive results in CH screening.
    Methods: In this study, 255 neonatal patients with CH who completed the screening and further diagnosis and 366 neonates with positive CH screening results and normal thyroid function were selected as the case group. 246 healthy neonates with normal thyroid function were selected as the control group. Gestational age, birth-weight, maternal age, small for gestational age (SGA), perinatal factors (gestational thyroid dysfunction, gestational diabetes mellitus, etc.) were used as influencing factors, using
    Results: There were statistical differences in the SGA, maternal gestational diabetes mellitus, thyroid disease, and the proportion using assisted reproduction technology among the case group, false-positive screening group, and control group (
    Conclusion: Neonatal CH and positive screening results are influenced by assisted reproduction, gestational thyroid dysfunction, gestational diabetes mellitus, and SGA.
    Language English
    Publishing date 2023-03-18
    Publishing country New Zealand
    Document type Journal Article
    ZDB-ID 2453343-9
    ISSN 1178-2390
    ISSN 1178-2390
    DOI 10.2147/JMDH.S400804
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Sustainable Photo- and Electrochemical Transformation of White Phosphorous (P

    Liu, Yan / Chen, Xiaolan / Yu, Bing

    Chemistry (Weinheim an der Bergstrasse, Germany)

    2023  Volume 29, Issue 63, Page(s) e202302142

    Abstract: Elemental white phosphorous ( ... ...

    Abstract Elemental white phosphorous (P
    Language English
    Publishing date 2023-10-24
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1478547-X
    ISSN 1521-3765 ; 0947-6539
    ISSN (online) 1521-3765
    ISSN 0947-6539
    DOI 10.1002/chem.202302142
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Corrigendum to:

    Zhang, Bin / Wang, Yan / Jiang, Chunmao / Wu, Caihong / Guo, Guangfu / Chen, Xiaolan / Qiu, Shulei

    Journal of microbiology and biotechnology

    2024  Volume 34, Issue 2, Page(s) 484–485

    Language English
    Publishing date 2024-02-28
    Publishing country Korea (South)
    Document type Journal Article
    ZDB-ID 2412195-2
    ISSN 1738-8872 ; 1738-8872
    ISSN (online) 1738-8872
    ISSN 1738-8872
    DOI 10.4014/jmb.2024.3402.484
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  5. Article: Production of anhydrous hydrogen fluoride from fluorosilicic acid: a review.

    Yang, Huachun / Li, Shijiang / Yu, Hehua / Liu, Haixia / Sun, Kai / Chen, Xiaolan

    Frontiers in chemistry

    2024  Volume 12, Page(s) 1372981

    Abstract: Anhydrous hydrogen fluoride (AHF), a critical raw material for industries such as aluminum, pharmaceuticals, and petroleum, has traditionally been sourced from fluorite-a non-renewable mineral. The unsustainable reliance on fluorite has catalyzed the ... ...

    Abstract Anhydrous hydrogen fluoride (AHF), a critical raw material for industries such as aluminum, pharmaceuticals, and petroleum, has traditionally been sourced from fluorite-a non-renewable mineral. The unsustainable reliance on fluorite has catalyzed the search for alternative AHF production methods. A promising substitute is fluorosilicic acid (FSA), a byproduct of the phosphate fertilizer industry previously deemed waste. Transforming fluorosilicic acid into AHF not only yields a valuable resource but also addresses the environmental and economic challenges associated with waste management. The innovative practice of producing AHF from fluorosilicic acid signals a shift towards sustainable chemical production by capitalizing on waste, potentially diminishing reliance on fluorite and reducing the industry's environmental impact. This review thoroughly dissects the AHF synthesis process from fluorosilicic acid. Despite the acknowledged importance of fluorinated compounds in numerous industrial applications, research on their synthesis from fluorosilicic acid is limited and fragmented. This review seeks to amalgamate this scattered information by closely scrutinizing diverse industrial processing methods. Additionally, it explores the current and future landscape, economic feasibility, and strategies to navigate the obstacles inherent in synthesizing AHF from fluorosilicic acid. It also assesses the environmental impact of these methods, thereby contributing to the dialogue in this emerging field. The primary aim of this manuscript is to foster further research and promote the industrial uptake of this sustainable process. Highlighting the challenges and proposing potential improvements, the review supports the responsible reuse of waste and advocates for advancements in industrial practices.
    Language English
    Publishing date 2024-02-27
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2711776-5
    ISSN 2296-2646
    ISSN 2296-2646
    DOI 10.3389/fchem.2024.1372981
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: ICGA-GPT: report generation and question answering for indocyanine green angiography images.

    Chen, Xiaolan / Zhang, Weiyi / Zhao, Ziwei / Xu, Pusheng / Zheng, Yingfeng / Shi, Danli / He, Mingguang

    The British journal of ophthalmology

    2024  

    Abstract: Background: Indocyanine green angiography (ICGA) is vital for diagnosing chorioretinal diseases, but its interpretation and patient communication require extensive expertise and time-consuming efforts. We aim to develop a bilingual ICGA report ... ...

    Abstract Background: Indocyanine green angiography (ICGA) is vital for diagnosing chorioretinal diseases, but its interpretation and patient communication require extensive expertise and time-consuming efforts. We aim to develop a bilingual ICGA report generation and question-answering (QA) system.
    Methods: Our dataset comprised 213 129 ICGA images from 2919 participants. The system comprised two stages: image-text alignment for report generation by a multimodal transformer architecture, and large language model (LLM)-based QA with ICGA text reports and human-input questions. Performance was assessed using both qualitative metrics (including Bilingual Evaluation Understudy (BLEU), Consensus-based Image Description Evaluation (CIDEr), Recall-Oriented Understudy for Gisting Evaluation-Longest Common Subsequence (ROUGE-L), Semantic Propositional Image Caption Evaluation (SPICE), accuracy, sensitivity, specificity, precision and F1 score) and subjective evaluation by three experienced ophthalmologists using 5-point scales (5 refers to high quality).
    Results: We produced 8757 ICGA reports covering 39 disease-related conditions after bilingual translation (66.7% English, 33.3% Chinese). The ICGA-GPT model's report generation performance was evaluated with BLEU scores (1-4) of 0.48, 0.44, 0.40 and 0.37; CIDEr of 0.82; ROUGE of 0.41 and SPICE of 0.18. For disease-based metrics, the average specificity, accuracy, precision, sensitivity and F1 score were 0.98, 0.94, 0.70, 0.68 and 0.64, respectively. Assessing the quality of 50 images (100 reports), three ophthalmologists achieved substantial agreement (kappa=0.723 for completeness, kappa=0.738 for accuracy), yielding scores from 3.20 to 3.55. In an interactive QA scenario involving 100 generated answers, the ophthalmologists provided scores of 4.24, 4.22 and 4.10, displaying good consistency (kappa=0.779).
    Conclusion: This pioneering study introduces the ICGA-GPT model for report generation and interactive QA for the first time, underscoring the potential of LLMs in assisting with automated ICGA image interpretation.
    Language English
    Publishing date 2024-03-26
    Publishing country England
    Document type Journal Article
    ZDB-ID 80078-8
    ISSN 1468-2079 ; 0007-1161
    ISSN (online) 1468-2079
    ISSN 0007-1161
    DOI 10.1136/bjo-2023-324446
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Renewable lignin-derived heteroatom-doped porous carbon nanosheets as an efficient oxygen reduction catalyst for rechargeable zinc-air batteries.

    Huang, Jie / Liu, Xuejun / Yuan, Ding / Chen, Xiaolan / Wang, Minghui / Li, Meiyue / Zhang, Lixue

    Journal of colloid and interface science

    2024  Volume 664, Page(s) 25–32

    Abstract: Lignin upgrading to various functional products is promising to realize high-value utilization of low-cost and renewable biomass waste, but is still in its infancy. Herein, using industry waste lignosulfonate as the biomass-based carbon source and urea ... ...

    Abstract Lignin upgrading to various functional products is promising to realize high-value utilization of low-cost and renewable biomass waste, but is still in its infancy. Herein, using industry waste lignosulfonate as the biomass-based carbon source and urea as the dopant, we constructed a heteroatom-doped porous carbon nanosheet structure by a simple NaCl template-assisted pyrolytic strategy. Through the synergistic effect of the NaCl template and urea, the optimized lignin-derived porous carbon catalyst with high content of active nitrogen species and large specific surface area can be obtained. As a result, the fabricated catalysts exhibited excellent electrocatalytic oxygen reduction activity, as well as good methanol tolerance and stability, comparable to that of commercial Pt/C. Moreover, rechargeable Zn-air batteries assembled with this electrocatalyst have a peak power density of up to 150 mW cm
    Language English
    Publishing date 2024-03-05
    Publishing country United States
    Document type Journal Article
    ZDB-ID 241597-5
    ISSN 1095-7103 ; 0021-9797
    ISSN (online) 1095-7103
    ISSN 0021-9797
    DOI 10.1016/j.jcis.2024.03.022
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  8. Article ; Online: External Validation of the Risk Assessment Model of Venous Thromboembolism in Multicenter Internal Medicine Inpatients.

    Chen, Xiaolan / Shi, Hongning / Chang, Jiaqi / Guo, Wenjia / Yang, Yuanhua / Wang, Yong / Pan, Lei

    Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis

    2024  Volume 30, Page(s) 10760296241247205

    Abstract: To external validate the risk assessment model (RAM) of venous thromboembolism (VTE) in multicenter internal medicine inpatients. We prospectively collected 595 internal medical patients (310 with VTE patients, 285 non-VTE patients) were from Beijing ... ...

    Abstract To external validate the risk assessment model (RAM) of venous thromboembolism (VTE) in multicenter internal medicine inpatients. We prospectively collected 595 internal medical patients (310 with VTE patients, 285 non-VTE patients) were from Beijing Shijitan Hospital, Beijing Chaoyang Hospital, and the respiratory department of Beijing Tsinghua Changgeng Hospital from January 2022 to December 2022 for multicenter external validation. The prediction ability of Caprini RAM, Padua RAM, The International Medical Prevention Registry on Venous Thromboembolism (IMPROVE) RAM, and Shijitan (SJT) RAM were compared. This study included a total of 595 internal medicine inpatients, including 242 (40.67%) in the respiratory department, 17 (2.86%) in the respiratory intensive care unit, 49 (8.24%) in the neurology department, 34 (5.71%) in the intensive care unit, 26 (4.37%) in the geriatric department, 22 (3.70%) in the emergency department, 71 (11.93%) in the nephrology department, 63 (10.59%) in the cardiology department, 24 (4.03%) in the hematology department, 6 (1.01%) in the traditional Chinese medicine department, 9 (1.51%) cases in the rheumatology department, 7 (1.18%) in the endocrinology department, 14 (2.35%) in the oncology department, and 11 (1.85%) in the gastroenterology department. Multivariate logistic regression analysis showed that among internal medicine inpatients, age > 60 years old, heart failure, nephrotic syndrome, tumors, history of VTE, and elevated D-dimer were significantly correlated with the occurrence of VTE (
    MeSH term(s) Humans ; Aged ; Middle Aged ; Venous Thromboembolism/etiology ; Risk Factors ; Inpatients ; Retrospective Studies ; Risk Assessment
    Language English
    Publishing date 2024-04-18
    Publishing country United States
    Document type Multicenter Study ; Journal Article
    ZDB-ID 1237357-6
    ISSN 1938-2723 ; 1076-0296
    ISSN (online) 1938-2723
    ISSN 1076-0296
    DOI 10.1177/10760296241247205
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  9. Article ; Online: Erratum: [Corrigendum]

    Jiang, Chunmao / Yang, Haifeng / Chen, Xiaolan / Qiu, Shulei / Wu, Caihong / Zhang, Bin / Jin, Liqin

    Experimental and therapeutic medicine

    2024  Volume 27, Issue 6, Page(s) 243

    Abstract: This corrects the article DOI: 10.3892/etm.2020.8766.]. ...

    Abstract [This corrects the article DOI: 10.3892/etm.2020.8766.].
    Language English
    Publishing date 2024-04-04
    Publishing country Greece
    Document type Published Erratum
    ZDB-ID 2683844-8
    ISSN 1792-1015 ; 1792-0981
    ISSN (online) 1792-1015
    ISSN 1792-0981
    DOI 10.3892/etm.2024.12531
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  10. Article ; Online: FFA-GPT: an automated pipeline for fundus fluorescein angiography interpretation and question-answer.

    Chen, Xiaolan / Zhang, Weiyi / Xu, Pusheng / Zhao, Ziwei / Zheng, Yingfeng / Shi, Danli / He, Mingguang

    NPJ digital medicine

    2024  Volume 7, Issue 1, Page(s) 111

    Abstract: Fundus fluorescein angiography (FFA) is a crucial diagnostic tool for chorioretinal diseases, but its interpretation requires significant expertise and time. Prior studies have used Artificial Intelligence (AI)-based systems to assist FFA interpretation, ...

    Abstract Fundus fluorescein angiography (FFA) is a crucial diagnostic tool for chorioretinal diseases, but its interpretation requires significant expertise and time. Prior studies have used Artificial Intelligence (AI)-based systems to assist FFA interpretation, but these systems lack user interaction and comprehensive evaluation by ophthalmologists. Here, we used large language models (LLMs) to develop an automated interpretation pipeline for both report generation and medical question-answering (QA) for FFA images. The pipeline comprises two parts: an image-text alignment module (Bootstrapping Language-Image Pre-training) for report generation and an LLM (Llama 2) for interactive QA. The model was developed using 654,343 FFA images with 9392 reports. It was evaluated both automatically, using language-based and classification-based metrics, and manually by three experienced ophthalmologists. The automatic evaluation of the generated reports demonstrated that the system can generate coherent and comprehensible free-text reports, achieving a BERTScore of 0.70 and F1 scores ranging from 0.64 to 0.82 for detecting top-5 retinal conditions. The manual evaluation revealed acceptable accuracy (68.3%, Kappa 0.746) and completeness (62.3%, Kappa 0.739) of the generated reports. The generated free-form answers were evaluated manually, with the majority meeting the ophthalmologists' criteria (error-free: 70.7%, complete: 84.0%, harmless: 93.7%, satisfied: 65.3%, Kappa: 0.762-0.834). This study introduces an innovative framework that combines multi-modal transformers and LLMs, enhancing ophthalmic image interpretation, and facilitating interactive communications during medical consultation.
    Language English
    Publishing date 2024-05-03
    Publishing country England
    Document type Journal Article
    ISSN 2398-6352
    ISSN (online) 2398-6352
    DOI 10.1038/s41746-024-01101-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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