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  • 2020-2024  (47)
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  • 2020-2024  (47)
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  • 1
    In: EMBO Molecular Medicine, EMBO, Vol. 13, No. 9 ( 2021-09-07)
    Type of Medium: Online Resource
    ISSN: 1757-4676 , 1757-4684
    Language: English
    Publisher: EMBO
    Publication Date: 2021
    detail.hit.zdb_id: 2485479-7
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  • 2
    Online Resource
    Online Resource
    Acta Physico-Chimica Sinica & University Chemistry Editorial Office, Peking University ; 2022
    In:  Daxue Huaxue Vol. 0, No. 0 ( 2022), p. 2201058-0
    In: Daxue Huaxue, Acta Physico-Chimica Sinica & University Chemistry Editorial Office, Peking University, Vol. 0, No. 0 ( 2022), p. 2201058-0
    Type of Medium: Online Resource
    ISSN: 1000-8438
    Language: English
    Publisher: Acta Physico-Chimica Sinica & University Chemistry Editorial Office, Peking University
    Publication Date: 2022
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  • 3
    Online Resource
    Online Resource
    SAGE Publications ; 2022
    In:  American Journal of Rhinology & Allergy Vol. 36, No. 4 ( 2022-07), p. 480-490
    In: American Journal of Rhinology & Allergy, SAGE Publications, Vol. 36, No. 4 ( 2022-07), p. 480-490
    Abstract: Allergic airway disease is a chronic airway allergic inflammatory disease including allergic rhinitis (AR) and allergic asthma which is common in children and adolescents. Recently the probiotics has been becoming a supplementary or alternative therapy to allergic diseases, however the effect of them has not been clearly established. Objective The purpose of the present meta-analysis was to evaluate the effectiveness of probiotics on allergic airway disease including AR and allergic asthma in children and adolescents. Methods We performed a comprehensive search on PubMed, Cochrane Library, EMBASE for relevant publications from 1 Jan 2000 to 1 July 2021. Physical examinations, Pediatric Rhinoconjunctivitis Quality of Life Questionnaires (PRQLQs), Total Nasal Symptom Score (TNSS), Nasal or Eye Symptom Score (NSS or ESS), serum allergen-specific IgE, and eosinophil were used as evaluating indicators for AR and allergic asthma in children and adolescents. The meta-analysis was performed using Review Manager (RevMan, Version 5.3). Results 15 randomized controlled trials (RCTs) with a total of 1388 participants were included for the meta-analysis. Among them, 729 patients treated with probiotics served as the probiotics group, and 659 patients with placebo as control group. Significantly greater reduction in PRQLQs from baseline to endpoint (SMD = −2.57, 95% CI [ − 4.66, −0.48] P  〈  0.01), NSS (SMD = −1.43, 95% CI [ − 1.63, − 1.23], P  〈  0.01) and ESS (total MD = −1.67, 95% CI [ − 1.79, − 1.55], P  〈  0.01) were observed in probiotics group compared to control group. Probiotics have no significant effect to serum IgE and eosinophils (P  〉  0.01). Conclusion The results of this meta-analysis indicated that probiotics treatment may reduce PRQLQs, NSS, ESS in patients with allergic airway disease. More research involving the mechanism of probiotics are needed to clarify the role of probiotics in AR and allergic asthma in children and adolescents.
    Type of Medium: Online Resource
    ISSN: 1945-8924 , 1945-8932
    RVK:
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2022
    detail.hit.zdb_id: 2554548-6
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  • 4
    Online Resource
    Online Resource
    IOP Publishing ; 2023
    In:  Journal of Physics: Conference Series Vol. 2489, No. 1 ( 2023-05-01), p. 012040-
    In: Journal of Physics: Conference Series, IOP Publishing, Vol. 2489, No. 1 ( 2023-05-01), p. 012040-
    Abstract: In the process of target cooperative tracking of the distributed multi-imaging detection system, aiming at the problem of asynchronous measurement information from different detectors, a distributed Asynchronous and Heterogeneous Information Matrix Fusion algorithm based on the Cubature Kalman Filter (CKF-AHIMF) is proposed. According to the Local Detector Driven Communication (LDDC) method and CKF nonlinear mapping, IMF distributed fusion algorithm is generalized into nonlinear, asynchronous, and heterogeneous cases to integrate the information from a multi-imaging detection system and to obtain global high-precision target trajectory. Through the digital simulation, it is verified that the CKF-AHIMF algorithm under the LDDC method proposed in this paper is more effective and has higher tracking accuracy than other distributed fusion algorithms in dealing with the problem of target cooperative tracking under asynchronous information from local imaging detectors, which is also valid to implement in precision detection and guidance system.
    Type of Medium: Online Resource
    ISSN: 1742-6588 , 1742-6596
    Language: Unknown
    Publisher: IOP Publishing
    Publication Date: 2023
    detail.hit.zdb_id: 2166409-2
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  • 5
    Online Resource
    Online Resource
    IOP Publishing ; 2021
    In:  Journal of Physics: Conference Series Vol. 1865, No. 4 ( 2021-04-01), p. 042070-
    In: Journal of Physics: Conference Series, IOP Publishing, Vol. 1865, No. 4 ( 2021-04-01), p. 042070-
    Abstract: With the development of productive forces and the existence of an effective food system, the problem of world hunger is gradually being solved. However, on the one hand, 821 million people in the world are still malnourished, and on the other hand, the waste of food is shocking. The comparison of these two situations shows that the current food system is seriously unfair. With the development at the expense of the natural environment, there is also uncertainty about whether people can enjoy food in a sustainable, healthy and safe way. Therefore, our group was asked to do some optimization research on the food system. In order to better simulate the operation of the food system. First of all, we design a food system model based on the system dynamics model, which includes four subsystems: economy and trade, environmental health, social production and politics. and the basic operation system of the system is formed on the basis of many variables in these four fields. Then, based on the variables in the grain system, we summarize four aspects of measuring the characteristics of the grain system, namely, profitability, efficiency, fairness and sustainability, and summarize 11 quantifiable evaluation system indicators. Then, the analytic hierarchy process is used to determine the weight and evaluation function of each index in the comprehensive evaluation system. Finally, using the goal programming model, taking the fairness and sustainability indicators as constraints, the minimum value of the system comprehensive evaluation function is used to optimize the food system dynamics model. After optimization, we get the final SD-SOP model and determine that China’s optimized grain system will be realized in 2030.
    Type of Medium: Online Resource
    ISSN: 1742-6588 , 1742-6596
    Language: Unknown
    Publisher: IOP Publishing
    Publication Date: 2021
    detail.hit.zdb_id: 2166409-2
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  • 6
    In: Mathematics, MDPI AG, Vol. 11, No. 14 ( 2023-07-12), p. 3074-
    Abstract: Group activity recognition is a central theme in many domains, such as sports video analysis, CCTV surveillance, sports tactics, and social scenario understanding. However, there are still challenges in embedding actors’ relations in a multi-person scenario due to occlusion, movement, and light. Current studies mainly focus on collective and individual local features from the spatial and temporal perspectives, which results in inefficiency, low robustness, and low portability. To this end, a Spatio-Temporal Attention-Based Graph Convolution Network (STAB-GCN) model is proposed to effectively embed deep complex relations between actors. Specifically, we leverage the attention mechanism to attentively explore spatio-temporal latent relations between actors. This approach captures spatio-temporal contextual information and improves individual and group embedding. Then, we feed actor relation graphs built from group activity videos into our proposed STAB-GCN for further inference, which selectively attends to the relevant features while ignoring those irrelevant to the relation extraction task. We perform experiments on three available group activity datasets, acquiring better performance than state-of-the-art methods. The results verify the validity of our proposed model and highlight the obstructive impacts of spatio-temporal attention-based graph embedding on group activity recognition.
    Type of Medium: Online Resource
    ISSN: 2227-7390
    Language: English
    Publisher: MDPI AG
    Publication Date: 2023
    detail.hit.zdb_id: 2704244-3
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  • 7
    Online Resource
    Online Resource
    American Association for the Advancement of Science (AAAS) ; 2022
    In:  Science Advances Vol. 8, No. 29 ( 2022-07-22)
    In: Science Advances, American Association for the Advancement of Science (AAAS), Vol. 8, No. 29 ( 2022-07-22)
    Abstract: Cloning and base editing of GFP transgenic monkey reveal that adenine base editors induce RNA, but not DNA, off-target mutations.
    Type of Medium: Online Resource
    ISSN: 2375-2548
    Language: English
    Publisher: American Association for the Advancement of Science (AAAS)
    Publication Date: 2022
    detail.hit.zdb_id: 2810933-8
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  • 8
    Online Resource
    Online Resource
    Royal Society of Chemistry (RSC) ; 2022
    In:  Organic Chemistry Frontiers Vol. 9, No. 16 ( 2022), p. 4277-4286
    In: Organic Chemistry Frontiers, Royal Society of Chemistry (RSC), Vol. 9, No. 16 ( 2022), p. 4277-4286
    Abstract: This manuscript describes a general method for the intramolecular dehydrative Friedel–Crafts reaction of alcohols catalyzed by Re 2 O 7 in hexafluoroisopropanol (HFIP). Under the optimized conditions, δ-aryl alcohols react with high efficiency to give various pharmaceutically significant organic scaffolds, such as tetrahydronaphthalene, tetrahydroquinoline, tetrahydroisoquinoline, chromane, and isochromane derivatives. The potential application of this methodology was exemplified by the formal or total synthesis of several commercially available drugs or biologically relevant molecules, including sertraline, nafenopin, etc . DFT calculations showed the preference for the activation of hydroxyl groups by Re 2 O 7 via perrhenate ester formation followed by heterolytic C–O bond cleavage over Brønsted acid-catalyzed dehydration.
    Type of Medium: Online Resource
    ISSN: 2052-4129
    Language: English
    Publisher: Royal Society of Chemistry (RSC)
    Publication Date: 2022
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  • 9
    In: The Journal of Clinical Pharmacology, Wiley, Vol. 62, No. S2 ( 2022-12)
    Abstract: A rare disease is defined as a condition affecting fewer than 200 000 people in the United States by the Orphan Drug Act. For rare diseases, it is challenging to enroll a large number of patients and obtain all critical information to support drug approval through traditional clinical trial approaches. In addition, over half of the population affected by rare diseases are children, which presents additional drug development challenges. Thus, maximizing the use of all available data is in the interest of drug developers and regulators in rare diseases. This brings opportunities for model‐informed drug development to use and integrate all available sources and knowledge to quantitatively assess the benefit/risk of a new product under development and to inform dosing. This review article provides an overview of 4 broad categories of use of model‐informed drug development in drug development and regulatory decision making in rare diseases: optimizing dose regimen, supporting pediatric extrapolation, informing clinical trial design, and providing confirmatory evidence for effectiveness. The totality of evidence based on population pharmacokinetic simulation as well as exposure‐response relationships for efficacy and safety, provides the regulatory ground for the approval of an unstudied dosing regimen in rare diseases without the need for additional clinical data. Given the practical and ethical challenges in drug development in rare diseases, model‐informed approaches using all collective information (eg, disease, drug, placebo effect, exposure‐response in nonclinical and clinical settings) are powerful and can be applied throughout the drug development stages to facilitate decision making.
    Type of Medium: Online Resource
    ISSN: 0091-2700 , 1552-4604
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2010253-7
    SSG: 15,3
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  • 10
    Online Resource
    Online Resource
    Ivyspring International Publisher ; 2023
    In:  International Journal of Biological Sciences Vol. 19, No. 11 ( 2023), p. 3441-3455
    In: International Journal of Biological Sciences, Ivyspring International Publisher, Vol. 19, No. 11 ( 2023), p. 3441-3455
    Type of Medium: Online Resource
    ISSN: 1449-2288
    Language: English
    Publisher: Ivyspring International Publisher
    Publication Date: 2023
    detail.hit.zdb_id: 2179208-2
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