52 research outputs found

    Alignment of COI barcode sequences for Telenomus spp. (Hymenoptera: Scelionidae)

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    Alignment of sequences for the DNA barcoding region of the COI gene for species of Telenomus collected in the field in Canada, Switzerland, and China. Alignment was performed in MegAlign (DNASTAR Lasergene) using ClustalW. BOLD Sequence ID number and Genus name provided for each specimen

    in silico testing of primers for Scelionidae and Pentatomidae

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    Output for in silico testing of Scel_F1, PENT_F2, HCO-2198 on Scelionidae, Telenomus, Trissolcus, and Pentatomidae consensus sequences. Results generated using FastPCR v6.4 (Kalendar et al. 2011; http://primerdigital.com/fastpcr.html) to screen target sequences to determine primer location, orientation, efficiency of binding, and complementarity

    Additional file 1: of Efficacy and safety of Jianzhong decoction in treating peptic ulcers: a meta-analysis of 58 randomised controlled trials with 5192 patients

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    Sensitivity analysis on the comparison of the total effective rate, Hp eradication rate, recurrence rate, and adverse reactions. (DOCX 808 kb

    Alignment of public sequences for the COI gene for the Pentatomidae

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    Alignment of public sequences available on the Barcode of Life Datasystems (BOLD) for the DNA barcoding region of the COI gene for the Pentatomidae. Alignment was performed in MegAlign (DNASTAR Lasergene) using ClustalW. BOLD Sequence ID number and Genus name provided for each specimen

    Primer Picking Results for Scelionidae

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    Location, direction, suitability, and amplification parameters for primers designed to amplify Scelionidae. Primer stats generated using Primer3 v0.4.0 (Untergrasser et al. 2012; http://bioinfo.ut.ee/primer3-0.4.0/)

    Alignment of public sequences for the COI gene for the Scelionidae

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    Alignment of public sequences available on the Barcode of Life Datasystems (BOLD) for the DNA barcoding region of the COI gene for the Scelionidae. Alignment was performed in MegAlign (DNASTAR Lasergene) using ClustalW. BOLD Sequence ID number and Genus name provided for each specimen

    Primer Picking Results for Pentatomidae

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    Location, direction, suitability, and amplification parameters for primers designed to amplify Pentatomidae. Results generated using Primer3 v0.4.0 (Untergrasser et al. 2012; http://bioinfo.ut.ee/primer3-0.4.0/)

    DataSheet1_Comparative efficacy of five approved Janus kinase inhibitors as monotherapy and combination therapy in patients with moderate-to-severe active rheumatoid arthritis: a systematic review and network meta-analysis of randomized controlled trials.docx

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    BackgroundThe European League of Rheumatology(EULAR)guidelines recommend Janus kinase (JAK) inhibitors for patients with moderate to severe rheumatoid arthritis (RA) who are insensitive or under-responsive to conventional synthetic disease-modifying anti-rheumatic drugs (csDMARDs). But there was no recommendation for which one was preferred in five currently approved JAK inhibitors. The objective of this network meta-analysis study was to evaluate the efficacy of five JAK inhibitors as monotherapy and combination therapy in patients with moderate-to-severe active rheumatoid arthritis.MethodsThe randomized controlled trials (RCTs) of tofacitinib, baricitinib, upadacitinib, filgotinib and peficitinib as monotherapy or combined with csDMARD in the treatment of active RA were searched in database of PubMed, Embase, Web of Science and Cochrane Library, up to December 2023. The control group included placebo or csDMARD. Outcome indicators included American College of Rheumatology 20% response (ACR20), ACR50, ACR70 and the percentage of patients achieving 28-joint disease activity score using C-reactive protein (DAS28(CRP))ResultsThis study included thirty-six RCTs with 16,713 patients. All JAK inhibitors were more effective than placebo in ACR20 (RRs ranging between 1.74 and 3.08), ACR50 (RRs ranging between 2.02 and 7.47), ACR70 (RRs ranging between 2.68 and 18.13), DAS28(CRP) ConclusionThis NMA study indicated that all JAK inhibitors performed better than placebo. Based on the results of this study, upadacitinib 30 mg, upadacitinib 15 mg, upadacitinib 15 mg + csDMARD and baricitinib 4 mg + csDMARD were recommended treatment options with relatively good efficacy and safety. However, attention should be paid to monitoring the occurrence of adverse events in high-risk RA patients with medication. Combination therapy with csDMARD might be more suitable for the maintenance of long-term efficacy. However, in clinical practice, it is still necessary to select the appropriate therapeutic regimen based on the actual clinical situation.</p

    Table_1_Spatiotemporal pattern of coastal water pollution and its driving factors: implications for improving water environment along Hainan Island, China.DOCX

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    In the context of human activities and climate change, the gradual degradation of coastal water quality seriously threatens the balance of coastal and marine ecosystems. However, the spatiotemporal patterns of coastal water quality and its driving factors were still not well understood. Based on 31 water quality parameters from 2015 to 2020, a new approach of optimizing water quality index (WQI) model was proposed to quantitatively assess the spatial and temporal water quality along tropical Hainan Island, China. In addition, pollution sources were further identified by factor analysis and the effects of pollution source on water quality was finally quantitatively in our study. The results showed that the average water quality was moderate. Water quality at 86.36% of the monitoring stations was good while 13.53% of the monitoring stations has bad or very bad water quality. Besides, the coastal water quality had spatial and seasonal variation, along Hainan Island, China. The water quality at “bad” level was mainly appeared in the coastal waters along large cities (Haikou and Sanya) and some aquaculture regions. Seasonally, the average water quality in March, October and November was worse than in other months. Factor analysis revealed that water quality in this region was mostly affected by urbanization, planting and breeding factor, industrial factor, and they played the different role in different coastal zones. Waters at 10.23% of monitoring stations were at the greatest risk of deterioration due to severe pressure from environmental factors. Our study has significant important references for improving water quality and managing coastal water environment.</p
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