The Role of Body Mass Index, Insulin, and Adiponectin in the Relation Between Fat Distribution and Bone Mineral Density

Despite the positive association between body mass index (BMI) and bone mineral density (BMD) and content (BMC), the role of fat distribution in BMD/BMC remains unclear. We examined relationships between BMD/BMC and various measurements of fat distribution and studied the role of BMI, insulin, and adiponectin in these relations. Using a cross-sectional investigation of 2631 participants from the Erasmus Rucphen Family study, we studied associations between BMD (using dual-energy X-ray absorptiometry (DXA]) at the hip, lumbar spine, total body (BMD and BMC), and fat distribution by the waist-to-hip ratio (WHR), waist-to-thigh ratio (WTR), and DXA-based trunk-to-leg fat ratio and android-to-gynoid fat ratio. Analyses were stratified by gender and median age (48.0 years in women and 49.2 years in men) and were performed with and without adjustment for BMI, fasting insulin, and adiponectin. Using linear regression (adjusting for age, height, smoking, and use of alcohol), most relationships between fat distribution and BMD and BMC were positive, except for WTR. After BMI adjustment, most correlations were negative except for trunk-to-leg fat ratio in both genders. No consistent influence of age or menopausal status was found. Insulin and adiponectin levels did not explain either positive or negative associations. In conclusion, positive associations between android fat distribution and BMD/BMC are explained by higher BMI but not by higher insulin and/or lower adiponectin levels. Inverse associations after adjustment for BMI suggest that android fat deposition as measured by the WHR, WTR, and DXA-based android-to-gynoid fat ratio is not beneficial and possibly even deleterious for bone

Measurement of D+- and D0 production in deep inelastic scattering using a lifetime tag at HERA

The production of D-+/-- and D-0-mesons has been measured with the ZEUS detector at HERA using an integrated luminosity of 133.6 pb(-1). The measurements cover the kinematic range 5 < Q(2) < 1000 GeV2, 0.02 < y < 0.7, 1.5 < p(T)(D) < 15 GeV and |eta(D)| < 1.6. Combinatorial background to the D-meson signals is reduced by using the ZEUS microvertex detector to reconstruct displaced secondary vertices. Production cross sections are compared with the predictions of next-to-leading-order QCD, which is found to describe the data well. Measurements are extrapolated to the full kinematic phase space in order to obtain the open-charm contribution, F-2(c (c) over bar), to the proton structure function, F-2

Search for the production of W^{\pm} W^{\pm} W^{\mp} events at \sqrt{s} = 13 TeV

A search for the production of events containing three W bosons predicted by the standard model is reported. The search is based on a data sample of proton-proton collisions at a center-of-mass energy of 13 TeV recorded by the CMS experiment at the CERN LHC and corresponding to a total integrated luminosity of 35.9 fb^{-1}. The search is performed in final states with three leptons (electrons or muons), or with two same-charge leptons plus two jets. The observed (expected) significance of the signal for W^{\pm} W^{\pm} W^{\mp} production is 0.60 (1.78) standard deviations, and the ratio of the measured signal yield to that expected from the standard model is 0.34_{-0.34}^{+0.62}. Limits are placed on three anomalous quartic gauge couplings and on the production of massive axionlike particles

Constraints on anomalous HVV couplings from the production of Higgs bosons decaying to τ lepton pairs

A study is presented of anomalous HVV interactions of the Higgs boson, including its CP properties. The study uses Higgs boson candidates produced mainly in vector boson fusion and gluon fusion that subsequently decay to a pair of τ leptons. The data were recorded by the CMS experiment at the LHC in 2016 at a center-of-mass energy of 13 TeV and correspond to an integrated luminosity of 35.9  fb−1. A matrix element technique is employed for the analysis of anomalous interactions. The results are combined with those from the H→4ℓ decay channel presented earlier, yielding the most stringent constraints on anomalous Higgs boson couplings to electroweak vector bosons expressed as effective cross section fractions and phases: the CP-violating parameter fa3cos(ϕa3)=(0.00±0.27)×10−3 and the CP-conserving parameters fa2cos(ϕa2)=(0.08+1.04−0.21)×10−3, fΛ1cos(ϕΛ1)=(0.00+0.53−0.09)×10−3, and fZγΛ1cos(ϕZγΛ1)=(0.0+1.1−1.3)×10−3. The current dataset does not allow for precise constraints on CP properties in the gluon fusion process. The results are consistent with standard model expectations

Measurement of the Higgs boson width and evidence of its off-shell contributions to ZZ production

Since the discovery of the Higgs boson in 2012, detailed studies of its properties have been ongoing. Besides its mass, its width—related to its lifetime—is an important parameter. One way to determine this quantity is to measure its off-shell production, where the Higgs boson mass is far away from its nominal value, and relating it to its on-shell production, where the mass is close to the nominal value. Here we report evidence for such off-shell contributions to the production cross-section of two Z bosons with data from the CMS experiment at the CERN Large Hadron Collider. We constrain the total rate of the off-shell Higgs boson contribution beyond the Z boson pair production threshold, relative to its standard model expectation, to the interval [0.0061, 2.0] at the 95% confidence level. The scenario with no off-shell contribution is excluded at a p-value of 0.0003 (3.6 standard deviations). We measure the width of the Higgs boson as ΓH=3.2+2.4−1.7MeV, in agreement with the standard model expectation of 4.1 MeV. In addition, we set constraints on anomalous Higgs boson couplings to W and Z boson pairs

Performance of the CMS muon trigger system in proton-proton collisions at root s=13 TeV

The muon trigger system of the CMS experiment uses a combination of hardware and software to identify events containing a muon. During Run 2 (covering 2015–2018) the LHC achieved instantaneous luminosities as high as 2 × 1034 while delivering proton-proton collisions at √(s) = 13. The challenge for the trigger system of the CMS experiment is to reduce the registered event rate from about 40MHz to about 1kHz. Significant improvements important for the success of the CMS physics program have been made to the muon trigger system via improved muon reconstruction and identification algorithms since the end of Run 1 and throughout the Run 2 data-taking period. The new algorithms maintain the acceptance of the muon triggers at the same or even lower rate throughout the data-taking period despite the increasing number of additional proton-proton interactions in each LHC bunch crossing. In this paper, the algorithms used in 2015 and 2016 and their improvements throughout 2017 and 2018 are described. Measurements of the CMS muon trigger performance for this data-taking period are presented, including efficiencies, transverse momentum resolution, trigger rates, and the purity of the selected muon sample. This paper focuses on the single- and double-muon triggers with the lowest sustainable transverse momentum thresholds used by CMS. The efficiency is measured in a transverse momentum range from 8 to several hundred

Influence of drying temperature on dietary fibre, rehydration properties, texture and microstructure of Cape gooseberry (Physalis peruviana L.)

[EN] The effects of air drying temperature on dietary fibre, texture and microstructure of the Cape gooseberry fruits during convective dehydration in the range of 50 90 ºC were investigated. The ratio of insoluble dietary fibre to soluble dietary fibre was higher than 7:1 for all dehydrated samples. At 50 ºC tissue structure damage was evidenced leading to the maximum water holding capacity (47.4±2.8 g retained water/100 g water) and the lowest rehydration ratio (1.15±0.06 g absorbed water/g d.m.). Texture analysis showed effects of drying temperatures on TPA parameters. Changes in microstructure tissue were also observed at the studied drying temperatures. Hot air drying technology leads not only to fruit preservation but also increases and adds value to Cape gooseberry, an asset to develop new functional productsThe authors gratefully acknowledge financial support for this investigation from the Research Department of Universidad de La Serena, Chile.Vega Gálvez, AA.; Zura Bravo, L.; Lemus-Mondaca, R.; Martínez Monzó, J.; Quispe Fuentes, I.; Puente Díaz, LA.; Di Scala, KC. (2015). Influence of drying temperature on dietary fibre, rehydration properties, texture and microstructure of Cape gooseberry (Physalis peruviana L.). Journal of Food Science and Technology. 52(4):2304-2311. doi:10.1007/s13197-013-1235-0S23042311524Aguilera JM (2005) Why food microstructure? J Food Eng 67:3–1AOAC (1990) Official method of analysis, 15th edn. Association of Official Analytical Chemists, Washington, DC, USABetoret E, Betoret N, Vidal D, Fito P (2011) Functional foods development: Trends and technologies. Trends Food Sci Technol 22:498–508Borchani C, Besbes S, Masmoudi M, Blecker C, Paquot M, Attia M (2011) Effect of drying methods on physico-chemical and antioxidant properties of date fibre concentrates. Food Chem 125:1194–1201Borchani C, Besbes S, Masmoudi M, Ali Bouaziz M, Blecker C, Attia H (2012) Influence of Oven-Drying Temperature on Physicochemical and Functional Properties of Date Fibre Concentrates. Food and Bioprocess Technology. Food Bioprocess Technol 5(5):1541–1551.Chiarini F, Barbosa G (2007) Anatomycal studies of different fruit types in Argentine species of Solanum Subgen. Leptostumonun (Solanaceae). An Jardín Bot Madrid 64:165–175Chong C, Law C (2010) Drying of Exotic Fruits. In: Jangam SV, Law CL, Mujumdar AS (eds) Vegetables and Fruits. Volume 2, (ISBN - 978-981-08-7985-3, Published in Singapore, pp 1-42.Di Scala K, Vega-Gálvez A, Uribe E, Oyanadel R, Miranda M, Vergara J, Quispe I, Lemus-Mondaca R (2011) Changes of quality characteristics of pepino fruit (Solanum muricatum Ait) during convective drying. Int J Food Sci Technol 46:746–753Doymaz I (2008) Convective drying kinetics of strawberry. Chem Eng Proc 47:914–919Doymaz I, Ismail O (2011) Drying characteristics of sweet cherry. Food Bioprod Proc 89:31–38Garau MC, Simal S, Rossello C, Femenia A (2007) Effect of air-drying temperature on physico-chemical properties of dietary fibre and antioxidant capacity of orange (Citrus aurantium v. Canoneta) by-products. Food Chem 104:1014–1024Garcia OE, Infante B, Rivera CJ (2010) Comparison of dietary fibre values between two varieties of cawpea (Vigna UnguiculataL Walp) of Venezuela, using chemical and enzymatic gravimetric methods. Rev Chilean Nutri 37:455–460Hassanien MFR (2011) Physalis Peruviana: A rich Source of Bioactive Phytochemicals for functional Foods and Pharmaceutical. Food Rev Int 27(3):259–273Heredia A, Barrera C, Andrés A (2007) Drying of cherry tomato by a combination of different dehydration techniques. Comparison of kinetics and other related properties. J Food Eng 80:111–118.Karabulut I, Hayaloglu AA, Yildirim H (2007) Thin-layer drying characteristics of Kurut, a Turkish dried dairy by-product. Int J Food Sci Technol 42:1080–1086Kauffmann SFM, Palzer S (2011) Food structure engineering for nutrition, health and wellness. Proc Food Sci 1:1479–1486Kaymak-Ertekin F (2002) Drying and rehydrating kinetics of green and red peppers. J Food Sci 67(1):168–175Krokida MK, Maroulis ZB (2001) Structural properties of dehydrated products during rehydration. Int J Food Sci Technol 36:529–538Krokida MK, Philippopoulos C (2005) Rehydration of Dehydrated Foods. Drying Technol 23:799–830Lewicki P, Pawlak G (2005) Effect of Drying on Microstructure of Plant Tissue. Drying Technol 21:657–683Li L, Wang Z, Hu X, Wu J, Liao X, Chen F, Zhao G (2010) Drying effects of two air-drying shelters in a pilot test on sultana grapes. J Food Proc Eng 33(1):162–178López J, Uribe E, Vega-Gálvez A, Miranda M, Vergara J, González E, Di Scala K (2009) Effect of Air Temperature on Drying Kinetics, Vitamin C, Antioxidant Activity, Total Phenolic Content, Non-enzymatic Browning and Firmness of Blueberries Variety O´Neil. Food Bioproc Technol 3(5):772–777Martínez R, Torres P, Meneses M, Figueroa J, Pérez-Alvarez J, Viuda-Martos M (2012) Chemical, technological and in vitro antioxidant properties of mango, guava, pineapple and passion fruit dietary fibre concentrate. Food Chem 135:1520–1526Miranda M, Vega-Gálvez A, García P, Di Scala K, Shi J, Xue S, Uribe E (2010) Effect of Temperature on Structural Properties of Aloe vera (Aloe barbadensis Miller) Gel and Weibull Distribution for Modelling Drying Process. Food Bioprod Proc 88(2–3):138–144Oliveira EG, Rosa GS, Moraes MA, Pinto LAA (2008) Phycocyanin content of spirulina platensis dried in spouted bed and thin layer. J Food Proc Eng 31(1):34–50Peerajit P, Chiewchan N, Devahastin S (2012) Effects of pretreatment methods on health-related functional properties of high dietary fibre powder from lime residues. Food Chem 132:1891–1898Pinto M, Galvez Ranilla L, Apostolidis E, Lajolo FM, Genovese MI, Shetty K (2009) Evaluation of Antihyperglycemia and Antihypertension Potential of Native Peruvian Fruits Using In Vitro Models. J Med Food 12(2):278–291Puente LA, Pinto-Muñoz CA, Castro ES, Cortés M (2011) Physalis peruviana Linnaeus, the multiple properties of a highly functional fruit: A review. Food Res Int 44(7):1733–1740Rahman MS, Al-farsi S (2005) Instrumental texture profile analysis (TPA) of date flesh as a function of moisture content. J Food Eng 66:505–511Ramadan MF, Morsel J (2003) Oil Goldenberry (Physalis peruviana L.). J Agric Food Chem 51:969–974Ramulu P, Rao PU (2003) Total, insoluble and soluble dietary fiber contents of Indian fruits. J Food Comp Anal 16:677–685Salazar MR, Jones JW, Chaves B, Cooman A (2008) A model for the potential production and dry matter distribution of Cape gooseberry (Physalis peruviana L.). Sci Hort 115:142–148Trinchero GD, Sozzi GO, Cerri AM, Vilella F, Fraschina AA (1999) Ripening-related changes in ethylene production, respiration rate and cell-wall enzyme activity in goldenberry (Physalis peruviana L.), a solanaceous species. Post Biol Technol 16:139–145Uribe E, Vega-Gálvez A, Di Scala K, Oyanadel R, Saavedra J, Miranda M (2009) Characteristics of Convective Drying of Pepino Fruit (Solanum muricatum Ait.): Application Weibull Distribution. Food Bioprocess Technol 4(8):1349–1356Vega-Gálvez A, Ah-hen K, Chacana M, Martínez-Monzó J, García-Segovia P, Lemus-Mondaca R, Di Scala K (2011) Effect of temperature and air velocity on drying kinetics, antioxidant capacity, total phenolic content, colour, texture and microstructure of apple (var. Granny Smith) slices. Food Chem 132(1):51–59Vega-Gálvez A, Puente-Diaz L, Lemus-Mondaca R, Miranda M, Torres MJ (2012) Mathematical modelling of thin-layer drying of Cape Gooseberry (Physalis peru viana L.). J Food Proc Preserv. doi: 10.1111/jfpp.1202