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        Preventing Bone Loss and Weight Gain with Combinations of Vitamin D and Phytochemicals

        Ching-Yi Lai,Jeong-Yeh Yang,Srujana Rayalam,Mary Anne Della-Fera,Suresh Ambati,Richard D. Lewis,Mark W. Hamrick,Diane L. Hartzell,Clifton A. Baile 한국식품영양과학회 2011 Journal of medicinal food Vol.14 No.11

        Vitamin D and certain natural compounds have been shown to regulate both lipid metabolism and bone formation. Treatments that prevent or reverse age-related increase in bone marrow adiposity could both increase new bone formation and inhibit bone destruction. We tested the hypothesis that dietary supplementation with combinations of vitamin D and phytochemicals inhibits bone loss and decreases adiposity to a greater extent than control or vitamin D–alone diets. Aged ovariectomized female rats (12 months old, n=50, initial body weight=240 g) were given control (AIN-93M diet), vitamin D (2,400 IU/kg), or vitamin D plus resveratrol (16, 80, or 400 mg/kg of diet [low, medium, and high dose, respectively]), quercetin (80, 400, or 2,000 mg/kg of diet), and genistein (64, 256, or 1,040 mg/kg of diet) for 8 weeks. The high-dose treatment (vitamin D+400 mg/kg resveratrol+2,000 mg/kg quercetin+1,040 mg/kg genistein) reduced body weight gain (P<.05) and the fat pad weights (P<.05). This treatment also increased the serum concentration of insulin-like growth factor-1 (P<.05) and the bone mineral content of the femur. Micro-computed tomography and histomorphometric analyses indicated that the high-dose treatment prevented loss of trabecular bone (P<.05) and reduced marrow adipocytes (P<.001) and osteoclasts (P<.05) compared with the control and vitamin D alone (P<.05). We conclude that aged ovariectomized female rats supplemented with vitamin D combined with genistein, quercetin, and resveratrol had improved bone mineral density and reduced body weight gain and a significant decrease in bone marrow adipocytes. The synergistic effects of a combination of phytochemicals with vitamin D may be effective in reducing bone loss and weight gain after menopause.

      • Footstep Recognition for a Smart Home Environment

        Ruben Vera Rodriguez,Richard P. Lewis,John S. D. Mason,Nicholas W. D. Evans 보안공학연구지원센터 2008 International Journal of Smart Home Vol.2 No.2

        This paper reports some experiments which assess the potential use of a footstep biometric verification system for a smart home environment. We present a semi-automatic capture system and report results on a database with independent development and evaluation datasets comprised of more than 3500 footsteps collected from 55 persons. We present an optimisation of geometric and holistic feature extraction approaches. An equal error rate of 13% is obtained with holistic features classified with a support vector machine. The database is freely available to the research community.

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