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  • 1
    Online Resource
    Online Resource
    JargonFM: A Framework With Multiple Interpretation Modes for Jargon Understanding in Online Communities
    Institute of Electrical and Electronics Engineers (IEEE) ; 2023
    In:  IEEE Transactions on Computational Social Systems
    Details
    In: IEEE Transactions on Computational Social Systems, Institute of Electrical and Electronics Engineers (IEEE)
    Type of Medium: Online Resource
    ISSN: 2329-924X , 2373-7476
    URL: Article
    DOI: 10.1109/TCSS.2023.3281674
    Language: Unknown
    Publisher: Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2023
    detail.hit.zdb_id: 2767595-6
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  • 2
    Online Resource
    Online Resource
    Building User-oriented Personalized Machine Translator based on User-Generated Textual Content
    Association for Computing Machinery (ACM) ; 2022
    In:  Proceedings of the ACM on Human-Computer Interaction Vol. 6, No. CSCW2 ( 2022-11-07), p. 1-26
    Details
    In: Proceedings of the ACM on Human-Computer Interaction, Association for Computing Machinery (ACM), Vol. 6, No. CSCW2 ( 2022-11-07), p. 1-26
    Abstract: Machine Translation (MT) has been a very useful tool to assist multilingual communication and collaboration. In recent years, by taking advantage of the exciting developments of neural networks and deep learning, the accuracy and speed of machine translation have been continuously improved. However, most machine translation methods and systems are data-driven. They tend to select a consensus response represented in training data, while a user's preferred linguistic style, which is important for translation comprehension and user experience, is ignored. For this problem, we aim to build a user-oriented personalized machine translation model in this paper. The model aims to learn each user's linguistic style from the textual content that is generated by her/him (User-Generated Textual Content, UGTC) in social media context and generate personalized translation results utilizing several state-of-the-art deep learning techniques like Transformer and pre-training. We also implemented a user-oriented personalized machine translator using Weibo as a case of the source of UGTC to provide a systematical implementation scheme of a user-oriented personalized machine translation system based on our model. The translator was evaluated by automatic evaluation in combination with human evaluation. The results suggest that our model can generate more personalized, natural and lively translation results and enhance the comprehensibility of translation results, which makes its generations more preferred by users versus general translation results.
    Type of Medium: Online Resource
    ISSN: 2573-0142
    URL: Article
    DOI: 10.1145/3555171
    Language: English
    Publisher: Association for Computing Machinery (ACM)
    Publication Date: 2022
    detail.hit.zdb_id: 2930194-4
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  • 3
    Online Resource
    Online Resource
    Table7.xlsx
    Frontiers Media SA ; 2022
    In:  Frontiers in Pharmacology Vol. 13 ( 2022-9-12)
    Details
    In: Frontiers in Pharmacology, Frontiers Media SA, Vol. 13 ( 2022-9-12)
    Abstract: Background: Nonalcoholic fatty liver disease (NAFLD) is the most common metabolic disease and is intertwined with cardiovascular disorders and diabetes. Chaihu Shugan powder (CSP) is a traditional Chinese medicine with a significant therapeutic effect on metabolic diseases, such as NAFLD. However, its pharmacological mechanisms remain to be elucidated. Methods: The main compounds of CSP were measured using LC-MS/MS. A network pharmacology study was conducted on CSP. Its potential active ingredients were selected according to oral bioavailability, drug similarity indices, and phytochemical analysis. After obtaining the intersected genes between drug targets and disease-related targets, the component-disease-target network and protein-protein interaction analysis were visualized in Cytoscape. GO and KEGG enrichment analyses were performed using the Metascape database. Six-week-old male C57BL/6 mice fed a high-fat high-fructose diet for 16 weeks plus chronic immobilization stress for 2 weeks, an in vivo model, were administered CSP or saline intragastrically. Liver histology, triglyceride and cholesterol levels, ELISA, and RT-PCR were used to assess hepatic inflammation and steatosis. Immunohistochemistry and western blotting were performed to assess protein levels. Results: A total of 130 potential target genes in CSP that act on NAFLD were identified through network pharmacology assays, including tumor necrosis factor (TNF), interleukin-6 (IL6), interleukin-1β (IL-1β), and peroxisome proliferator-activated receptor γ (PPARG). KEGG enrichment analysis showed that the main pathways were involved in inflammatory pathways, such as the TNF and NF-κB signaling pathways, and metabolism-related pathways, such as the MAPK, HIF-1, FoxO, and AMPK signaling pathways. The results in vivo showed that CSP ameliorated liver inflammation and inhibited hepatic fatty acid synthesis in the hepatocyte steatosis model. More specifically, CSP therapy significantly inhibited the expression of tumor necrosis factor α (TNFα), accompanied by a decrease in TNF receptor 1 (TNFR1) and the ligand availability of TNFR1. Conclusion: Through the combination of network pharmacology and in vivo validation, this study elucidated the therapeutic effect of CSP on NAFLD, decreasing liver inflammation and inhibiting hepatic fatty acid synthesis. More specifically, the anti-inflammatory action of CSP was at least partially mediated by inhibiting the TNFα/TNFR1 signaling pathway.
    Type of Medium: Online Resource
    ISSN: 1663-9812
    URL: Article
    URL: Article
    URL: Article
    URL: Article
    URL: Article
    URL: Article
    DOI: 10.3389/fphar.2022.967623
    DOI: 10.3389/fphar.2022.967623.s001
    DOI: 10.3389/fphar.2022.967623.s002
    DOI: 10.3389/fphar.2022.967623.s003
    DOI: 10.3389/fphar.2022.967623.s004
    DOI: 10.3389/fphar.2022.967623.s005
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2587355-6
    SSG: 15,3
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  • 4
    Online Resource
    Online Resource
    Building a Personalized Model for Social Media Textual Content Censorship
    Association for Computing Machinery (ACM) ; 2022
    In:  Proceedings of the ACM on Human-Computer Interaction Vol. 6, No. CSCW2 ( 2022-11-07), p. 1-31
    Details
    In: Proceedings of the ACM on Human-Computer Interaction, Association for Computing Machinery (ACM), Vol. 6, No. CSCW2 ( 2022-11-07), p. 1-31
    Abstract: Social media users often suffer from the problem of content over-disclosure. Most existing studies attempt to solve this problem by recommending proper audiences for users when sharing content. However, the audience management strategy cannot filter out sensitive information from the post and narrow the scope of content permeation. On the contrary, this paper conducts research from the content perspective and aims to design a content censorship model to help users evaluate the publicity of a post and find the sensitive information from it. The user can revise the content accordingly to achieve goals of sensitive information protection and broader content permeation. For this intention, we first built a dataset to explore the factors related to the public level of a post and the sensitive information. Based on the findings, a novel personalized multi-task content censorship model was built using several state-of-the-art deep learning techniques such as Seq2Seq and Co-training. We also implemented a prototype, i.e. a Browser plugin-based content censorship tool, by utilizing Weibo as a research site. Our model and its prototype were evaluated through automatic and human evaluations. The automatic evaluation suggests that our model outperforms the baseline methods on several metrics including precision, recall, and F1-score. The human evaluation also reveals that our model and prototype play an important role in helping users identify sensitive information. Based on these results, we proposed several insights for the future design of the social media content censorship system.
    Type of Medium: Online Resource
    ISSN: 2573-0142
    URL: Article
    DOI: 10.1145/3555657
    Language: English
    Publisher: Association for Computing Machinery (ACM)
    Publication Date: 2022
    detail.hit.zdb_id: 2930194-4
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  • 5
    Online Resource
    Online Resource
    DataSheet1.docx
    Frontiers Media SA ; 2022
    In:  Frontiers in Pharmacology Vol. 13 ( 2022-8-17)
    Details
    In: Frontiers in Pharmacology, Frontiers Media SA, Vol. 13 ( 2022-8-17)
    Abstract: Background: Stable angina is a common condition with high morbidity and mortality rates. It has been reported that combining oral Chinese patent medicines (OCPMs) and Western medicine (WM) could potentially achieve a better effect than WM alone. However, the optimal OCPMs for stable angina remain controversial and merit further empirical research. Methods: PubMed, Embase, Web of Science, Cochrane Library, Ovid-Medline, Clinical Trials.gov , China National Knowledge Infrastructure, Wanfang Database, Weipu Journal Database, and Chinese Biomedical Literature Database were all searched from inception to 13 March 2022. We employed Version 2 of the Cochrane risk-of-bias tool (ROB2) to assess the overall quality of the selected studies. We also used R 4.1.2 and STATA 14.0 software applications to perform network meta-analysis, followed by sensitivity and subgroup analysis. Results: A total of 179 randomized controlled trials with 16,789 patients were included. The selected trials were all assessed as some concerns. OCPMs combined with WM had a better treatment effect than WM alone. In terms of the effective clinical rate, a significant increase was detected for Qishen Yiqi dripping pill (QSYQ)+WM as compared with Shensong Yangxin capsule (SSYX)+WM, Shexiang Baoxin pill (SXBX)+WM, Tongxinluo capsule (TXL)+WM, Xuefu Zhuyu capsule (XFZY)+WM, Qiliqiangxin capsule (QLQX)+WM, Naoxintong capsule (NXT)+WM, Fufang Danshen dripping pill (FFDS)+WM, and Danlou tablet (DL)+WM. QSYQ + WM had the highest-ranking probability (98.12%). Regarding the effective rate in ECG, QSYQ + WM was superior to SXBX + WM, TXL + WM, DL + WM, FFDS + WM, and NXT + WM. QSYQ + WM ranked first (94.21%). In terms of weekly frequency of angina, QLQX + WM obtained a better effect than FFDS + WM, Kuanxiong aerosol (KXQW)+WM, NXT + WM, QLQX + WM, SSYX + WM, SXBX + WM, and TXL + WM. QLQX + WM ranked first (100.00%). Regarding the duration of an angina attack, KXQW + WM was superior to SSYX + WM; KXQW + WM ranked first (95.71%). Adverting to weekly nitroglycerin usage, TXL + WM had the highest-ranking probability (82.12%). Referring to cardiovascular event rate, DL + WM had the highest effect (73.94%). Additionally, SSYX + WM had the lowest rate of adverse drug reactions (1.14%). Conclusion: OCPMs combined with WM had a higher efficacy. QSYQ + WM, QLQX + WM, KXQW + WM, TXL + WM, DL + WM, SSYX + WM, and SXBX + WM merit further investigation. SXBX + WM is presumably the optimal treatment prescription for both clinically effective and cardiovascular event rates. Further high-quality empirical research is needed to confirm the current results. Systematic Review Registration: URL = https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=316534 , CRD 42022316534
    Type of Medium: Online Resource
    ISSN: 1663-9812
    URL: Article
    URL: Article
    DOI: 10.3389/fphar.2022.918689
    DOI: 10.3389/fphar.2022.918689.s001
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2587355-6
    SSG: 15,3
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  • 6
    Online Resource
    Online Resource
    Potential shared gene signatures and molecular mechanisms between atherosclerosis and depression: Evidence from transcriptome data
    Elsevier BV ; 2023
    In:  Computers in Biology and Medicine Vol. 152 ( 2023-01), p. 106450-
    Details
    In: Computers in Biology and Medicine, Elsevier BV, Vol. 152 ( 2023-01), p. 106450-
    Type of Medium: Online Resource
    ISSN: 0010-4825
    URL: Article
    DOI: 10.1016/j.compbiomed.2022.106450
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2023
    detail.hit.zdb_id: 1496984-1
    SSG: 12
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  • 7
    Online Resource
    Online Resource
    DataSheet1.docx
    Frontiers Media SA ; 2022
    In:  Frontiers in Pharmacology Vol. 13 ( 2022-6-17)
    Details
    In: Frontiers in Pharmacology, Frontiers Media SA, Vol. 13 ( 2022-6-17)
    Abstract: Background: Acute tonsillitis has high morbidity. Chinese herbal injections (CHIs) were reported to be useful in treating acute tonsillitis and might reduce the probability of antibiotic resistance. Nevertheless, the optimal strategy for combining CHIs with western medicine (WM) to treat acute tonsillitis remains unclear. Methods: We retrieved data from the following databases with retrieval time from inception to 11 January 2022: PubMed, Embase, Web of Science, Cochrane Library, China National Knowledge Infrastructure, Wanfang Database, Weipu Journal Database, and Chinese Biomedical Literature Database. Version 2 of the Cochrane risk-of-bias tool (ROB2) was used for evaluating the quality of the included studies. R 4.1.2, STATA 14.0, and Python 3.10.4 were employed for network meta-analysis, with 5-dimensional K-means cluster analysis, meta-regression analyses, sensitivity analyses, and subgroup analyses. Results: A total of 110 randomized controlled trials including 12,152 patients were included. All the studies were rated as “high risk” and “some concerns”. In terms of improving clinical effectiveness rate, Qingkailing injection + WM ranked ahead of other interventions (89.51%). Regarding reducing antipyretic time, Reduning injection + WM had the highest-ranking probability (68.48%). As for shortening sore throat relief time, Shuanghuanglian injection + WM ranked first (76.82%). Concerning shortening red and swollen tonsils relief time, Yanhuning injection + WM possessed the highest-ranking probability (89.17%). In terms of reducing tonsillar exudate relief time, Xuebijing injection + WM ranked ahead of the other interventions (94.82%). Additionally, the results of the cluster analysis suggested that Xuebijing injection + WM, Reduning injection + WM, and Yanhuning injection + WM were probably the best interventions. Furthermore, adverse drug reactions rate of Xuebijing injection + WM, Reduning injection + WM, Yanhuning injection + WM, Qingkailing injection + WM, and Shuanghuanglian injection + WM were individually 0.00%, 3.11%, 3.08%, 4.29%, and 4.62%. Conclusions: CHIs + WM have a better impact on patients with acute tonsillitis than WM alone. Xuebijing injection, Reduning injection, and Yanhuning injection might have potential advantages in treating the disease. Concerning adverse drug reactions, Xuebijing injection is presumably the optimal CHI. More high-quality studies are needed to further confirm our findings. Systematic Review Registration: CRD42022303243; URL= https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=303243
    Type of Medium: Online Resource
    ISSN: 1663-9812
    URL: Article
    URL: Article
    DOI: 10.3389/fphar.2022.888073
    DOI: 10.3389/fphar.2022.888073.s001
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2587355-6
    SSG: 15,3
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