1,720,966 research outputs found

    Supplementary_File_794158 - Cellulite Reduction by Modified Thai Herbal Compresses; A Randomized Double-Blind Trial

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    Supplementary_File_794158 for Cellulite Reduction by Modified Thai Herbal Compresses; A Randomized Double-Blind Trial by Ngamrayu Ngamdokmai, Neti Waranuch, Krongkarn Chootip, Katechan Jampachaisri, C. Norman Scholfield, and Kornkanok Ingkaninan in Journal of Evidence-Based Integrative Medicine</p

    Thermal hypersensitivity results.

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    Thermal hypersensitivity of the (A) ipsilateral thigh measured in sec; mean ± SEM; * = Values significantly (PB) Contralateral thigh measured in sec; mean ± SEM. * = Values significantly (P<0.05) different from that of -1 h (baseline) for the same treatment group. # = Values significantly (P<0.05) different compared to the Saline group at the same time point. Arrow indicates the time of surgery.</p

    Heart rate after 1-h immersion.

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    Heart rate (bpm; mean ± SEM) detected audibly via doppler ultrasound flow evaluation. * values are significantly different (P P < 0.05) between time points.</p

    Heart rate after 5- & 19-h immersions.

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    Heart rate (bpm; mean ± SEM) detected audibly via doppler ultrasound evaluation. # values are significantly different (P < 0.05) between time points.</p

    Data_Sheet_1_Forecasting of Milk Production in Northern Thailand Using Seasonal Autoregressive Integrated Moving Average, Error Trend Seasonality, and Hybrid Models.docx

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    Milk production in Thailand has increased rapidly, though excess milk supply is one of the major concerns. Forecasting can reveal the important information that can support authorities and stakeholders to establish a plan to compromise the oversupply of milk. The aim of this study was to forecast milk production in the northern region of Thailand using time-series forecast methods. A single-technique model, including seasonal autoregressive integrated moving average (SARIMA) and error trend seasonality (ETS), and a hybrid model of SARIMA-ETS were applied to milk production data to develop forecast models. The performance of the models developed was compared using several error matrices. Results showed that milk production was forecasted to raise by 3.2 to 3.6% annually. The SARIMA-ETS hybrid model had the highest forecast performances compared with other models, and the ETS outperformed the SARIMA in predictive ability. Furthermore, the forecast models highlighted a continuously increasing trend with evidence of a seasonal fluctuation for future milk production. The results from this study emphasizes the need for an effective plan and strategy to manage milk production to alleviate a possible oversupply. Policymakers and stakeholders can use our forecasts to develop short- and long-term strategies for managing milk production.</p

    Study design schematic.

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    A) 1-h immersion. B) 5-h & 19-h immersion. Dotted bar indicates length of time animals were immersed in solution. Heart rate assessment was performed via doppler ultrasound flow with the probe placed over the heart. Reflex assessment included withdrawal reflex of the right hindlimb and righting reflex. For A) a celiotomy was performed for all animals at the end of the experimental treatment. For B) a celiotomy was performed for frogs without audible heart beats using doppler ultrasound flow at 5-h of immersion & the remaining animals at 19-h of immersion.</p

    Plasma concentration results of rat pups.

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    Plasma concentration (ng/mL, mean ± SEM) of Bup-SR, XR-Lo, and XR-Hi in treated rat pups (n = the number pups sampled at each time point). Samples were analyzed at 1, 4, 8, 24, 48, 72 h(s) after administration. n = 3 for all groups except n = 2 in XR-Lo at 48 h, Bup-SR at 1 h and Bup-SR at 24 h and n = 1 for XR-Lo at 72 h and Bup-SR at 72 h due to insufficient sample collected. Dotted line indicates clinically effective plasma concentration (1.0 ng/mL). Arrow indicates the time of drug administration.</p
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