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  • 1
    In: Chinese Optics Letters, Shanghai Institute of Optics and Fine Mechanics, Vol. 12, No. 3 ( 2014), p. 031702-31706
    Type of Medium: Online Resource
    ISSN: 1671-7694
    Uniform Title: Image reconstruction method for laminar optical tomography with only a single Monte-Carlo simulation
    URL: Issue
    Language: English , Chinese
    Publisher: Shanghai Institute of Optics and Fine Mechanics
    Publication Date: 2014
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  • 2
    In: Nucleic Acids Research, Oxford University Press (OUP), Vol. 50, No. D1 ( 2022-01-07), p. D27-D38
    Abstract: The National Genomics Data Center (NGDC), part of the China National Center for Bioinformation (CNCB), provides a family of database resources to support global research in both academia and industry. With the explosively accumulated multi-omics data at ever-faster rates, CNCB-NGDC is constantly scaling up and updating its core database resources through big data archive, curation, integration and analysis. In the past year, efforts have been made to synthesize the growing data and knowledge, particularly in single-cell omics and precision medicine research, and a series of resources have been newly developed, updated and enhanced. Moreover, CNCB-NGDC has continued to daily update SARS-CoV-2 genome sequences, variants, haplotypes and literature. Particularly, OpenLB, an open library of bioscience, has been established by providing easy and open access to a substantial number of abstract texts from PubMed, bioRxiv and medRxiv. In addition, Database Commons is significantly updated by cataloguing a full list of global databases, and BLAST tools are newly deployed to provide online sequence search services. All these resources along with their services are publicly accessible at https://ngdc.cncb.ac.cn.
    Type of Medium: Online Resource
    ISSN: 0305-1048 , 1362-4962
    RVK:
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2022
    detail.hit.zdb_id: 1472175-2
    SSG: 12
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  • 3
    In: Nucleic Acids Research, Oxford University Press (OUP), Vol. 51, No. D1 ( 2023-01-06), p. D18-D28
    Abstract: The National Genomics Data Center (NGDC), part of the China National Center for Bioinformation (CNCB), provides a family of database resources to support global academic and industrial communities. With the explosive accumulation of multi-omics data generated at an unprecedented rate, CNCB-NGDC constantly expands and updates core database resources by big data archive, integrative analysis and value-added curation. In the past year, efforts have been devoted to integrating multiple omics data, synthesizing the growing knowledge, developing new resources and upgrading a set of major resources. Particularly, several database resources are newly developed for infectious diseases and microbiology (MPoxVR, KGCoV, ProPan), cancer-trait association (ASCancer Atlas, TWAS Atlas, Brain Catalog, CCAS) as well as tropical plants (TCOD). Importantly, given the global health threat caused by monkeypox virus and SARS-CoV-2, CNCB-NGDC has newly constructed the monkeypox virus resource, along with frequent updates of SARS-CoV-2 genome sequences, variants as well as haplotypes. All the resources and services are publicly accessible at https://ngdc.cncb.ac.cn.
    Type of Medium: Online Resource
    ISSN: 0305-1048 , 1362-4962
    RVK:
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2023
    detail.hit.zdb_id: 1472175-2
    SSG: 12
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  • 4
    In: The Journal of Clinical Endocrinology & Metabolism, The Endocrine Society, Vol. 106, No. 1 ( 2021-01-01), p. e217-e231
    Abstract: Postoperative hypercortisolemia mandates further therapy in patients with Cushing’s disease (CD). Delayed remission (DR) is defined as not achieving postoperative immediate remission (IR), but having spontaneous remission during long-term follow-up. Objective We aimed to develop and validate machine learning (ML) models for predicting DR in non-IR patients with CD. Methods We enrolled 201 CD patients, and randomly divided them into training and test datasets. We then used the recursive feature elimination (RFE) algorithm to select features and applied 5 ML algorithms to construct DR prediction models. We used permutation importance and local interpretable model–agnostic explanation (LIME) algorithms to determine the importance of the selected features and interpret the ML models. Results Eighty-eight (43.8%) of the 201 CD patients met the criteria for DR. Overall, patients who were younger, had a low body mass index, a Knosp grade of III–IV, and a tumor not found by pathological examination tended to achieve a lower rate of DR. After RFE feature selection, the Adaboost model, which comprised 18 features, had the greatest discriminatory ability, and its predictive ability was significantly better than using Knosp grading and postoperative immediate morning serum cortisol (PoC). The results obtained from permutation importance and LIME algorithms showed that preoperative 24-hour urine free cortisol, PoC, and age were the most important features, and showed the reliability and clinical practicability of the Adaboost model in DC prediction. Conclusions Machine learning–based models could serve as an effective noninvasive approach to predicting DR, and could aid in determining individual treatment and follow-up strategies for CD patients.
    Type of Medium: Online Resource
    ISSN: 0021-972X , 1945-7197
    RVK:
    Language: English
    Publisher: The Endocrine Society
    Publication Date: 2021
    detail.hit.zdb_id: 2026217-6
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  • 5
    Online Resource
    Online Resource
    American Association for the Advancement of Science (AAAS) ; 2023
    In:  Science Advances Vol. 9, No. 39 ( 2023-09-29)
    In: Science Advances, American Association for the Advancement of Science (AAAS), Vol. 9, No. 39 ( 2023-09-29)
    Abstract: Cla4 phosphorylates Set1 to maintain its stability and promote histone H3K4 methylation.
    Type of Medium: Online Resource
    ISSN: 2375-2548
    Language: English
    Publisher: American Association for the Advancement of Science (AAAS)
    Publication Date: 2023
    detail.hit.zdb_id: 2810933-8
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  • 6
    In: Integrative Cancer Therapies, SAGE Publications, Vol. 22 ( 2023-01)
    Abstract: Cancer treatment remains a significant challenge for the medical community, and improved therapies are necessary to treat cancer and its associated complications. Current anticancer therapies often have significant side effects, underscoring the need for new treatment options. Moxibustion is a representative external therapy used in traditional Chinese medicine. This review examines clinical studies demonstrating moxibustion’s ability to improve the efficacy of radiotherapy and chemotherapy and control tumor progression. Moxibustion can prevent and treat various complications of cancer, including cancer-related or therapy-induced gastrointestinal symptoms, myelosuppression, fatigue, pain, and postoperative lymphedema. has also been shown to enhance the quality of life for cancer patients. However, very few studies have investigated the underlying mechanisms for these effects, a topic that requires systematic elucidation. Evidence has shown that moxibustion alone or combined with chemotherapy can improve survival and inhibit tumor growth in cancer-bearing animal models. The anticancer effect of moxibustion is associated with alleviating the tumor immunosuppressive and vascular microenvironments. Additionally, the therapeutic effects of moxibustion may originate from the heat and radiation produced during the combustion process on acupoints or lesions. This evidence provides a scientific basis for the clinical application of moxibustion in anticancer treatment and reducing the side effects of cancer therapies and helps promote the precise application of moxibustion in cancer treatment.
    Type of Medium: Online Resource
    ISSN: 1534-7354 , 1552-695X
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2023
    detail.hit.zdb_id: 2101248-9
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  • 7
    Online Resource
    Online Resource
    Frontiers Media SA ; 2022
    In:  Frontiers in Pharmacology Vol. 13 ( 2022-6-2)
    In: Frontiers in Pharmacology, Frontiers Media SA, Vol. 13 ( 2022-6-2)
    Abstract: The increasing and widespread application of antibacterial drugs makes antibiotic resistance a prominent and growing concern in clinical practice. The emergence of multidrug-resistant bacteria presents a global threat. However, the development and use of novel antibacterial agents involves time-consuming and costly challenges that may lead to yet further drug resistance. More recently, researchers have turned to traditional Chinese medicine to stem the rise of antibiotic resistance in pathogens. Many studies have shown traditional Chinese medicines to have significant bacteriostatic and bactericidal effects, with the advantage of low drug resistance. Some of which when combined with antibiotics, have also demonstrated antibacterial activity by synergistic effect. Traditional Chinese medicine has a variety of active components, including flavonoids, alkaloids, phenols, and quinones, which can inhibit the growth of drug-resistant bacteria and be used in combination with a variety of antibiotics to treat various drug-resistant bacterial infections. We reviewed the interaction between the active ingredients of traditional Chinese medicines and antibiotic-resistant bacteria. At present, flavonoids and alkaloids are the active ingredients that have been most widely studied, with significant synergistic activity demonstrated when used in combination with antibiotics against drug-resistant bacteria. The reviewed studies show that traditional Chinese medicine and its active ingredients have antimicrobial activity on antibiotic-resistant bacteria, which may enhance the susceptibility of antibiotic-resistant bacteria, potentially reduce the required dosage of antibacterial agents and the rate of drug resistance. Our results provide direction for finding and developing alternative methods to counteract drug-resistant bacteria, offering a new therapeutic strategy for tackling antibiotic resistance.
    Type of Medium: Online Resource
    ISSN: 1663-9812
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2587355-6
    SSG: 15,3
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  • 8
    In: Cell, Elsevier BV, Vol. 186, No. 6 ( 2023-03), p. 1279-1294.e19
    Type of Medium: Online Resource
    ISSN: 0092-8674
    RVK:
    RVK:
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2023
    detail.hit.zdb_id: 187009-9
    detail.hit.zdb_id: 2001951-8
    SSG: 12
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  • 9
    In: International Journal of Oral Science, Springer Science and Business Media LLC, Vol. 11, No. 3 ( 2019-09)
    Abstract: By removing a part of the structure, the tooth preparation provides restorative space, bonding surface, and finish line for various restorations on abutment. Preparation technique plays critical role in achieving the optimal result of tooth preparation. With successful application of microscope in endodontics for 〉 30 years, there is a full expectation of microscopic dentistry. However, as relatively little progress has been made in the application of microscopic dentistry in prosthodontics, the following assumptions have been proposed: Is it suitable to choose the tooth preparation technique under the naked eye in the microscopic vision? Is there a more accurate preparation technology intended for the microscope? To obtain long-term stable therapeutic effects, is it much easier to achieve maximum tooth preservation and retinal protection and maintain periodontal tissue and oral function health under microscopic vision? Whether the microscopic prosthodontics is a gimmick or a breakthrough in obtaining an ideal tooth preparation should be resolved in microscopic tooth preparation. This article attempts to illustrate the concept, core elements, and indications of microscopic minimally invasive tooth preparation, physiological basis of dental pulp, periodontium and functions involved in tool preparation, position ergonomics and visual basis for dentists, comparison of tooth preparation by naked eyes and a microscope, and comparison of different designs of microscopic minimally invasive tooth preparation techniques. Furthermore, a clinical protocol for microscopic minimally invasive tooth preparation based on target restorative space guide plate has been put forward and new insights on the quantity and shape of microscopic minimally invasive tooth preparation has been provided.
    Type of Medium: Online Resource
    ISSN: 1674-2818 , 2049-3169
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2019
    detail.hit.zdb_id: 2569849-7
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  • 10
    In: ChemSusChem, Wiley, Vol. 12, No. 19 ( 2019-10-08), p. 4461-4470
    Abstract: The design and development of low‐cost, highly efficient, and stable electrocatalysts to take the place of noble‐metal catalysts for the oxygen evolution reaction (OER) remain a significant challenge. Herein, the synthesis of yolk–shell‐structured binary transition metal phosphide Co x Fe 1− x P with different Co/Fe ratios by phosphidation of a cobalt ferrite precursor is reported. The as‐synthesized Co x Fe 1− x P catalysts were used for the OER. All yolk–shell Co x Fe 1− x P catalysts with different Co/Fe ratios showed much better performance than the corresponding solid catalyst. The formation of Co oxides on the catalyst surface during OER and the optimal Co/Fe ratio were found to be critical to their activity. Among the as‐prepared Co x Fe 1− x P catalysts, that with a Co/Fe ratio of 0.47/0.53 (Co 0.47 Fe 0.53 P) exhibited the best performance. Co 0.47 Fe 0.53 P has an overpotential of 277 mV at a current density of 10 mA cm −2 , a Tafel slope of 37 mV dec −1 , and superior stability in alkaline medium. The outstanding performance is partly ascribed to the transfer of valence electrons from Co to P and Fe. The Co 0.47 Fe 0.53 P matrix with excellent conductivity and Fe phosphate that is stable on the surface of the catalyst are also helpful for the OER performance. In addition, the yolk–shell structure of Co 0.47 Fe 0.53 P increases the contact area between electrolyte and catalyst. These characteristics of Co 0.47 Fe 0.53 P greatly improve its OER performance. This optimized binary transition metal phosphide provides a new approach for the design of nonprecious‐metal electrocatalysts.
    Type of Medium: Online Resource
    ISSN: 1864-5631 , 1864-564X
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2019
    detail.hit.zdb_id: 2411405-4
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