ALBERT

Description: Author(s): M. Sugawara, T. Hayakawa, M. Oshima, Y. Toh, A. Osa, M. Matsuda, T. Shizuma, Y. Hatsukawa, H. Kusakari, T. Morikawa, Z. G. Gan, and T. Czosnyka Lifetime measurements were made for the ν h 11 / 2 band in Pd 101 , which had been interpreted as a possible antimagnetic rotation band based on the comparison of I − ω behavior with the calculation of a semiclassical particle-rotor model in our previous study. Doppler broadened line shapes were analyzed fo… [Phys. Rev. C 92, 024309] Published Mon Aug 10, 2015

Description: Author(s): L. Ma (马龙), Z. Y. Zhang (张志远), Z. G. Gan (甘再国), H. B. Yang (杨华彬), L. Yu (郁琳), J. Jiang (姜舰), J. G. Wang (王建国), Y. L. Tian (田玉林), Y. S. Wang (王永生), S. Guo (郭松), B. Ding (丁兵), Z. Z. Ren (任中洲), S. G. Zhou (周善贵), X. H. Zhou (周小红), H. S. Xu (徐瑚珊), and G. Q. Xiao (肖国青) The new neutron-deficient isotope U 216 was produced in the complete-fusion reaction W 180 ( Ar 40 , 4 n ) U 216 . The evaporation residues were separated from the primary beam in flight by the gas-filled recoil separator Spectrometer for Heavy Atoms and Nuclear Structure. The activities have been identified by... [Phys. Rev. C 91, 051302(R)] Published Thu May 28, 2015

Description: Author(s): Z. Y. Zhang (张志远), Z. G. Gan (甘再国), L. Ma (马龙), L. Yu (郁琳), H. B. Yang (杨华彬), T. H. Huang (黄天衡), G. S. Li (李广顺), Y. L. Tian (田玉林), Y. S. Wang (王永生), X. X. Xu (徐新星), X. L. Wu (吴晓蕾), M. H. Huang (黄明辉), C. Luo (罗成), Z. Z. Ren (任中洲), S. G. Zhou (周善贵), X. H. Zhou (周小红), H. S. Xu (徐瑚珊), and G. Q. Xiao (肖国青) The new neutron-deficient isotope 205Ac was synthesized in the complete-fusion reaction 169Tm(40Ca, 4n)205Ac. The evaporation residues were separated in-flight by the gas-filled recoil separator SHANS in Lanzhou and subsequently identified by the α-α position and time correlation method. The α-decay... [Phys. Rev. C 89, 014308] Published Mon Jan 13, 2014

Description: A comprehensive account of the causes of alcohol misuse must accommodate individual differences in biology, psychology and environment, and must disentangle cause and effect. Animal models can demonstrate the effects of neurotoxic substances; however, they provide limited insight into the psycho-social and higher cognitive factors involved in the initiation of substance use and progression to misuse. One can search for pre-existing risk factors by testing for endophenotypic biomarkers in non-using relatives; however, these relatives may have personality or neural resilience factors that protect them from developing dependence. A longitudinal study has potential to identify predictors of adolescent substance misuse, particularly if it can incorporate a wide range of potential causal factors, both proximal and distal, and their influence on numerous social, psychological and biological mechanisms. Here we apply machine learning to a wide range of data from a large sample of adolescents (n = 692) to generate models of current and future adolescent alcohol misuse that incorporate brain structure and function, individual personality and cognitive differences, environmental factors (including gestational cigarette and alcohol exposure), life experiences, and candidate genes. These models were accurate and generalized to novel data, and point to life experiences, neurobiological differences and personality as important antecedents of binge drinking. By identifying the vulnerability factors underlying individual differences in alcohol misuse, these models shed light on the aetiology of alcohol misuse and suggest targets for prevention.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4486207/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4486207/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Whelan, Robert -- Watts, Richard -- Orr, Catherine A -- Althoff, Robert R -- Artiges, Eric -- Banaschewski, Tobias -- Barker, Gareth J -- Bokde, Arun L W -- Buchel, Christian -- Carvalho, Fabiana M -- Conrod, Patricia J -- Flor, Herta -- Fauth-Buhler, Mira -- Frouin, Vincent -- Gallinat, Juergen -- Gan, Gabriela -- Gowland, Penny -- Heinz, Andreas -- Ittermann, Bernd -- Lawrence, Claire -- Mann, Karl -- Martinot, Jean-Luc -- Nees, Frauke -- Ortiz, Nick -- Paillere-Martinot, Marie-Laure -- Paus, Tomas -- Pausova, Zdenka -- Rietschel, Marcella -- Robbins, Trevor W -- Smolka, Michael N -- Strohle, Andreas -- Schumann, Gunter -- Garavan, Hugh -- IMAGEN Consortium -- MH082116/MH/NIMH NIH HHS/ -- P20 GM103644/GM/NIGMS NIH HHS/ -- P20GM103644/GM/NIGMS NIH HHS/ -- P50 DA036114/DA/NIDA NIH HHS/ -- P50DA036114/DA/NIDA NIH HHS/ -- Medical Research Council/United Kingdom -- Wellcome Trust/United Kingdom -- England -- Nature. 2014 Aug 14;512(7513):185-9. doi: 10.1038/nature13402. Epub 2014 Jul 2.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Department of Psychiatry, University of Vermont, Burlington, Vermont 05401, USA [2] Department of Psychology, University College Dublin, Dublin 4, Ireland. ; Department of Radiology, University of Vermont, Burlington, Vermont 05401, USA. ; Vermont Center for Children, Youth, and Families, University of Vermont, Burlington, Vermont 05401, USA. ; 1] Department of Pediatrics, University of Vermont, Burlington, Vermont 05401, USA [2] Department of Psychology, University of Vermont, Burlington, Vermont 05401, USA. ; 1] Institut National de la Sante et de la Recherche Medicale, INSERM CEA Unit 1000 "Imaging &Psychiatry", University Paris Sud, 91400 Orsay, France [2] Department of Psychiatry, Orsay Hospital, 4 place du General Leclerc, 91400 Orsay, France. ; Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159 Mannheim, Germany. ; Institute of Psychiatry, King's College London, London SE5 8AF, UK. ; Institute of Neuroscience, Trinity College Dublin, Dublin 2, Ireland. ; 1] Department of Systems Neuroscience, Universitatsklinikum Hamburg Eppendorf, 20246 Hamburg, Germany [2] Department of Psychology, Stanford University, Stanford, California 94305, USA. ; 1] Institute of Psychiatry, King's College London, London SE5 8AF, UK [2] Department of Psychiatry, Universite de Montreal, CHU Ste Justine Hospital, Montreal H3T 1C5, Canada. ; 1] Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159 Mannheim, Germany [2] Department of Addictive Behaviour and Addiction Medicine, Heidelberg University, 68159 Mannheim, Germany. ; 14 CEA, DSV, I2BM, Neurospin bat 145, 91191 Gif-Sur-Yvette, France. ; 1] Department of Systems Neuroscience, Universitatsklinikum Hamburg Eppendorf, 20246 Hamburg, Germany [2] Department of Psychiatry and Psychotherapy, Campus Charite Mitte, Charite-Universitatsmedizin Berlin 10117, Germany. ; Department of Psychiatry and Neuroimaging Center, Technische Universitat Dresden, 01062 Dresden, Germany. ; School of Physics and Astronomy, University of Nottingham, Nottingham NG7 2RD, UK. ; Department of Psychiatry and Psychotherapy, Campus Charite Mitte, Charite-Universitatsmedizin Berlin 10117, Germany. ; Physikalisch-Technische Bundesanstalt (PTB), 10587 Berlin, Germany. ; School of Psychology, University of Nottingham, Nottingham NG7 2RD, UK. ; 1] Institut National de la Sante et de la Recherche Medicale, INSERM CEA Unit 1000 "Imaging &Psychiatry", University Paris Sud, 91400 Orsay, France [2] AP-HP Department of Adolescent Psychopathology and Medicine, Maison de Solenn, University Paris Descartes, 75006 Paris, France. ; 1] Department of Psychiatry, University of Vermont, Burlington, Vermont 05401, USA [2] Neuroscience Graduate Program, University of Vermont, Burlington, Vermont 05401, USA. ; 1] Department of Psychiatry and Psychotherapy, Campus Charite Mitte, Charite-Universitatsmedizin Berlin 10117, Germany [2] AP-HP Department of Adolescent Psychopathology and Medicine, Maison de Solenn, University Paris Descartes, 75006 Paris, France. ; 1] Rotman Research Institute, University of Toronto, Toronto, Ontario M5R 0A3, Canada [2] Montreal Neurological Institute, McGill University, H3A 2B4, Canada. ; The Hospital for Sick Children, University of Toronto, Toronto, Ontario M5G 0A4, Canada. ; Behavioural and Clinical Neuroscience Institute and Department of Psychology, University of Cambridge, Cambridge CB2 1TN, UK. ; 1] Institute of Psychiatry, King's College London, London SE5 8AF, UK [2] MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, London WC2R 2LS, UK. ; 1] Department of Psychiatry, University of Vermont, Burlington, Vermont 05401, USA [2] Department of Psychology, University of Vermont, Burlington, Vermont 05401, USA [3] Institute of Neuroscience, Trinity College Dublin, Dublin 2, Ireland.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25043041" target="_blank"〉PubMed〈/a〉

Description: This study evaluated the properties of the polymeric composites obtained from nanocrystalline cellulose and chitosan using citric acid as the crosslinking agent prepared via solvent casting method. The tensile strength and Young’s modulus of composites increased, but the elongation at break decreased with the nanocrystalline cellulose (NCC) loading. The addition of citric acid has further enhanced the tensile strength and Young’s modulus. The morphology of the non-crosslinked and the citric acid crosslinked NCC/chitosan composites was investigated by the scanning electron microscopy (SEM) analysis. The X-ray diffraction (XRD) revealed that the relative crystallinity of composites was enhanced by the incorporation of NCC but the value declined by the addition of citric acid.

Description: Author(s): M. Sugawara, T. Hayakawa, M. Oshima, Y. Toh, A. Osa, M. Matsuda, T. Shizuma, Y. Hatsukawa, H. Kusakari, T. Morikawa, Z. G. Gan, and T. Czosnyka High-spin states of 101 Pd were studied through in-beam γ -ray spectroscopy by using the reaction 68 Zn( 37 Cl, 1 p 3 n ). The band based on the h 11/2 neutron orbital was extended up to (51/2 − ), and the band based on the d 5/2 neutron orbital was revised. Various transitions decaying to these bands were obser... [Phys. Rev. C 86, 034326] Published Tue Sep 18, 2012

Description: Author(s): M. Sugawara, T. Hayakawa, M. Oshima, Y. Toh, A. Osa, M. Matsuda, T. Shizuma, Y. Hatsukawa, H. Kusakari, T. Morikawa, Z. G. Gan, and T. Czosnyka High-spin states of 99 Rh were studied through in-beam γ -ray spectroscopy by using the reaction 68 Zn( 37 Cl,  α 2 n ). The upper part of the band based on the g 9/2 proton orbital was rearranged in four parallel cascades. Negative parity was tentatively assigned for the side-band that previously had no pari... [Phys. Rev. C 87, 064319] Published Wed Jun 26, 2013

Description: Important advances have been made in solar water desalination technology but their wide application is restricted by relatively high capital and running costs. Until recently, solar concentrator collectors had usually been employed to distill water in compact desalination systems. Currently, it is possible to replace these collectors by the more efficient evacuated tube collectors, which are now widely available on the market at lower prices. This paper describes the results of experimental and theoretical investigations of the operation of a novel small-scale solar water desalination technology using the psychometric humidification and dehumidification process coupled with a heat pipe evacuated tube solar collector with an aperture area of ~1.73 m 2 . Solar radiation during spring in the Middle East was simulated by an array of halogen floodlights. A synthetic brackish water solution was used for the tests and its total dissolved solids (TDSs) and electrical conductivity were measured. A mathematical model was developed to describe the system's operation. A computer program was written to solve the system of governing equations to perform the theoretical calculations of the humidification and dehumidification processes. The experimental and theoretical values for the total daily distillate output were found to be closely correlated. The test results demonstrate that, at temperatures of 55–60°C, the system produces ~5–6 kg/h of clean water with a high desalination efficiency. Following the experimental calibration of the mathematical model, it was demonstrated that the performance of the system could be improved to produce a considerably higher amount of fresh water.