Shanghai Jiao Tong University

About: Shanghai Jiao Tong University is a education organization based out in Shanghai, Shanghai, China. It is known for research contribution in the topics: Population & Cancer. The organization has 157524 authors who have published 184620 publications receiving 3451038 citations. The organization is also known as: Shanghai Communications University & Shanghai Jiaotong University.

Collagen tissue engineering: development of novel biomaterials and applications.

Abstract: Scientific investigations involving collagen have inspired tissue engineering and design of biomaterials since collagen fibrils and their networks primarily regulate and define most tissues The collagen networks form a highly organized, three-dimensional architecture to entrap other ingredients Biomaterials are expected to function as cell scaffolds to replace native collagen-based extracellular matrix The composition and properties of biomaterials used as scaffold for tissue engineering significantly affect the regeneration of neo-tissues and influence the conditions of collagen engineering The complex scenario of collagen characteristics, types, fibril arrangement, and collagen structure-related functions (in a variety of connective tissues including bone, cartilage, tendon, skin and cornea) are addressed in this review Discussion will focus on nanofibrillar assemblies and artificial synthetic peptides that mimic either the fibrillar structure or the elemental components of type I collagen as illustrated by their preliminary applications in tissue engineering Conventional biomaterials used as scaffolds in engineering collagen-containing tissues are also discussed The design of novel biomaterials and application of conventional biomaterials will facilitate development of additional novel tissue engineering bioproducts by refining the currently available techniques The field of tissue engineering will ultimately be advanced by increasing control of collagen in native tissue and by continual manipulation of biomaterials

European Society of Hypertension International Protocol revision 2010 for the validation of blood pressure measuring devices in adults

Abstract: The Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Ireland, dabl Ltd., Blackrock Co., Dublin, Ireland, Hypertension Center, Third University Department of Medicine, Sotiria Hospital, Athens, Greece, Istituto Scientifico Ospedale San Luca, IRCCS, Instituto Auxologico Italiano, Milan, Italy, Societe Francaise d’Hypertension Arterielle, Filiale de la Societe Francaise de Cardiolgie, Paris, France, The Department of Clinical Pharmacology and Therapeutics, Tohoku University Graduate School of Pharmaceutical Science and Medicine, Sendai, Japan, Centre for Epidemiological Studies and Clinical Trials, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China, University Clinic Bonn, Department of Internal Medicine, Bonn, Germany and Guy’s and St Thomas’ Hospitals, London, UK

Robustness of a network of networks.

Abstract: Network research has been focused on studying the properties of a single isolated network, which rarely exists. We develop a general analytical framework for studying percolation of $n$ interdependent networks. We illustrate our analytical solutions for three examples: (i) For any tree of $n$ fully dependent Erd\ifmmode \mbox{\H{o}}\else \H{o}\fi{}s-R\'enyi (ER) networks, each of average degree $\overline{k}$, we find that the giant component is ${P}_{\ensuremath{\infty}}=p[1\ensuremath{-}\mathrm{exp} (\ensuremath{-}\overline{k}{P}_{\ensuremath{\infty}}){]}^{n}$ where $1\ensuremath{-}p$ is the initial fraction of removed nodes. This general result coincides for $n=1$ with the known second-order phase transition for a single network. For any $ng1$ cascading failures occur and the percolation becomes an abrupt first-order transition. (ii) For a starlike network of $n$ partially interdependent ER networks, ${P}_{\ensuremath{\infty}}$ depends also on the topology---in contrast to case (i). (iii) For a looplike network formed by $n$ partially dependent ER networks, ${P}_{\ensuremath{\infty}}$ is independent of $n$.

Isolated Diatomic Ni-Fe Metal-Nitrogen Sites for Synergistic Electroreduction of CO2.

Abstract: Polynary single-atom structures can combine the advantages of homogeneous and heterogeneous catalysts while providing synergistic functions based on different molecules and their interfaces. However, the fabrication and identification of such an active-site prototype remain elusive. Here we report isolated diatomic Ni-Fe sites anchored on nitrogenated carbon as an efficient electrocatalyst for CO2 reduction. The catalyst exhibits high selectivity with CO Faradaic efficiency above 90 % over a wide potential range from -0.5 to -0.9 V (98 % at -0.7 V), and robust durability, retaining 99 % of its initial selectivity after 30 hours of electrolysis. Density functional theory studies reveal that the neighboring Ni-Fe centers not only function in synergy to decrease the reaction barrier for the formation of COOH* and desorption of CO, but also undergo distinct structural evolution into a CO-adsorbed moiety upon CO2 uptake.