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developed using the PyQt4 library. The spectrograms were calculated using the Hamming window with 256 points (256/1000 s). For power spectral density (PSD), each frame was generated with an overlap of 128 points per window. For each frame, the PSD was
Fondazione Italiana Ricerca sulle Malattie dell’Osso (FIRMO Onlus), Florence, Italy
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characteristic curve (ROC) analysis (expressed as area under the curve; AUC, odds ratio (OR) and respective 95% CIs) was used to assess the predictive power of BPA levels to identify individuals having deficient levels of 25(OH)D (i.e. <20 ng/mL) ( 21 ). A P
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-risk group (0 factors), an intermediate-risk group (1 factor), and a high-risk group (2 factors) ( Table 4 ). The combination of long diameter of tumors and LMR showed that the predictive power for cancer was higher in the high-risk group with two factors
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that there is relatively low discriminatory power for SII in osteoporosis diagnosis (all AUCs less than 0.7). The results of ROC curves suggested that the efficacy of the SII indicator alone in discriminating subjects with osteoporosis was not high
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used to assess the diagnostic efficiency of PC Laboratory parameters that were significantly different between the patients with PC and patients with PA were further used to assess the diagnostic power of PC by these parameters alone and combined with
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Paediatric Neurosciences Research Group, Royal Hospital for Children, NHS Greater Glasgow & Clyde, Glasgow, UK
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69 – 73 . ( https://doi.org/10.1016/s8756-3282(9900104-0 ) 48 Witzke KA Snow CM . Lean body mass and leg power best predict bone mineral density in adolescent girls . Medicine and Science in Sports and Exercise 1999 31 1558 – 1563 . ( https
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University for Health Sciences, Medical Informatics and Technology (UMIT TIROL), Tirol, Austria
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Institute for Medical Biometry, Informatics and Epidemiology (IMBIE), Faculty of Medicine, University of Bonn, Bonn, Germany
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Department of Neurology, Faculty of Medicine, University of Bonn, Bonn, Germany
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Rabenda V Gillain S Cavalier E Slomian J Petermans J Reginster JY & Bruyère O . The effects of vitamin D on skeletal muscle strength, muscle mass, and muscle power: a systematic review and meta-analysis of randomized controlled trials
PhyMedExp, Université de Montpellier, INSERM, CNRS, Montpellier, France
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CIC INSERM 1411, Hôpital Gui de Chauliac, CHU Montpellier, Montpellier Cedex 5, France
Institut de Génomique Fonctionnelle, CNRS UMR 5203/INSERM U661/Université Montpellier, Montpellier, France
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Département de Biochimie, Hôpital Lapeyronie, CHU Montpellier, Montpellier, France
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Département d’Urgence et Post-Urgence Psychiatrique, Hôpital Lapeyronie, CHU Montpellier, Montpellier, France
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Département d’Urgence et Post-Urgence Psychiatrique, Hôpital Lapeyronie, CHU Montpellier, Montpellier, France
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Département Endocrinologie, Nutrition, Diabète, Equipe Nutrition, Diabète, CHU Montpellier, Montpellier, France
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: resting energy requirements and the body cell mass . American Journal of Clinical Nutrition 1984 40 168 – 182 . ( https://doi.org/10.1093/ajcn/40.1.168 ) 47 Cohen J Statistical Power Analysis for the Behavioral Sciences , p. 567. New York
Department of Nutrition, Institute of Life Sciences, Federal University of Juiz de Fora, Governador Valadares, Minas Gerais, Brazil
Department of Nutrition, Faculty of Health and Medical Sciences, University of Surrey, University of Surrey, Guildford, UK
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sample size with insufficient statistical power, different doses of vitamin D, dosing regimens (daily or monthly), duration of treatment (most were less than 1 year), and poor compliance. Furthermore, interpretation of the results might be influenced by
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transmission between muscle fibers. Disturbance of its structure and function will destroy the lateral transmission, leading to power instability and increasing the sensitivity of muscle fibers to contraction damage ( 9 ). In addition, this complex is a