bluuebunny/crossref_metadata_2025_split huggingface dataset:
Engineering Anisotropic Muscle Tissue using Acoustic Cell Patterning
Authors: Armstrong James P. K. , Puetzer Jennifer L. , Serio Andrea , Guex Anne Géraldine , Kapnisi Michaella , Breant Alexandre , Zong Yifan , Assal Valentine , Skaalure Stacey C. , King Oisín , Murty Tara , Meinert Christoph , Franklin Amanda C. , Bassindale Philip G. , Nichols Madeleine K. , Terracciano Cesare M. , Hutmacher Dietmar W. , Drinkwater Bruce W. , Klein Travis J. , Perriman Adam W. , Stevens Molly M. 
Published: September 2018

AbstractTissue engineering has offered unique opportunities for disease modeling and regenerative medicine; however, the success of these strategies is dependent on faithful reproduction of native cellular organization. Here, it is reported that ultrasound standing waves can be used to organize myoblast populations in material systems for the engineering of aligned muscle tissue constructs. Patterned muscle engineered using type I collagen hydrogels exhibits significant anisotropy in tensile strength, and under mechanical constraint, produced microscale alignment on a cell and fiber level. Moreover, acoustic patterning of myoblasts in gelatin methacryloyl hydrogels significantly enhances myofibrillogenesis and promotes the formation of muscle fibers containing aligned bundles of myotubes, with a width of 120–150 µm and a spacing of 180–220 µm. The ability to remotely pattern fibers of aligned myotubes without any material cues or complex fabrication procedures represents a significant advance in the field of muscle tissue engineering. In general, these results are the first instance of engineered cell fibers formed from the differentiation of acoustically patterned cells. It is anticipated that this versatile methodology can be applied to many complex tissue morphologies, with broader relevance for spatially organized cell cultures, organoid development, and bioelectronics.
A Cryogenic Process for Antisolvent‐Free High‐Performance Perovskite Solar Cells
Authors: Ng Annie , Ren Zhiwei , Hu Hanlin , Fong Patrick W. K. , Shen Qian , Cheung Sin Hang , Qin Pingli , Lee Jin‐Wook , Djurišić Aleksandra B. , So Shu Kong , Li Gang , Yang Yang , Surya Charles 
Published: September 2018

AbstractA cryogenic process is introduced to control the crystallization of perovskite layers, eliminating the need for the use of environmentally harmful antisolvents. This process enables decoupling of the nucleation and the crystallization phases by inhibiting chemical reactions in as‐cast precursor films rapidly cooled down by immersion in liquid nitrogen. The cooling is followed by blow‐drying with nitrogen gas, which induces uniform precipitation of precursors due to the supersaturation of precursors in the residual solvents at very low temperature, while at the same time enhancing the evaporation of the residual solvents and preventing the ordered precursors/perovskite from redissolving into the residual solvents. Using the proposed techniques, the crystallization process can be initiated after the formation of a uniform precursor seed layer. The process is generally applicable to improve the performance of solar cells using perovskite films with different compositions, as demonstrated on three different types of mixed halide perovskites. A champion power conversion efficiency (PCE) of 21.4% with open‐circuit voltage (VOC) = 1.14 V, short‐circuit current density ( JSC) = 23.5 mA cm−2, and fill factor (FF) = 0.80 is achieved using the proposed cryogenic process.
Selected‐Area Chemical Nanoengineering of Vanadium Dioxide Nanostructures Through Nonlithographic Direct Writing
Authors: Wang Shuxia , Wei Wei , Huang Tiantian , Zhang Tianning , Chen Zhimin , Sun Liaoxin , Xia Hui , Li Tianxin , Chen Xin , Chen Xiaoshuang , Lu Wei , Dai Ning 
Published: September 2018

AbstractNanoscale selected‐area chemical engineering is challenging but critical to manipulate carrier transport and realize multifunctional characteristics in advanced devices. Undesired chemical contaminants might occur in conventional lithographic processes and would degrade the characteristics of chemical‐sensitive vanadium oxide nanostructures. Here, a facile strategy is introduced to chemically engineer VO2 nanostructures using a nonlithographic direct‐writing process without chemical reagents and sacrificial layers. Nanoscale selected‐area photooxidation promotes the formation of VO2+x patterns in VO2 nanostructures. Selected‐area chemical nanoengineering allows direct designing and engineering of correlated vanadium oxides for controllable Mott field‐effect transistors and memory devices.
Pulsed Laser Induced Triple Layer Copper Oxide Structure for Durable Polyfunctionality of Superhydrophobic Coatings
Authors: Boinovich Ludmila B. , Emelyanenko Kirill A. , Domantovsky Alexander G. , Chulkova Elizaveta V. , Shiryaev Andrey A. , Emelyanenko Alexandre M. 
Published: September 2018

AbstractCopper and its alloys are among the most used metals for the industry. However, using bare copper and its alloys in technology is compromised because corrosion and poor abrasion resistance of copper impacts its performance in industrial and technological applications. In this paper, a strategy based on combining the laser chemical modification of metal's surface in a controlled atmosphere and laser texturing, followed by chemisorption of low energy compounds is effectively used for fabrication of a superhydrophobic coating with enhanced protective and functional properties on the mild copper alloy. It is shown that the formation of duplex cuprous/cupric oxide layers with a sequence of a dense and porous parts of cupric oxide layer allows one to successfully design the superhydrophobic coating with high photoactivity and enhanced stability of functional properties in corrosive liquids. The fabricated coatings display the enhanced resistance to abrasive wear, long preservation of a heterogeneous wetting mode in contact with the electrolyte, durable photoactivity, and low corrosion rate. Even more, the corrosion rate is notably decreasing with time upon prolonged contact with the corrosive medium.
Association of early pregnancy body mass index and children's birth weight with risk of being overweight in childhood
Authors: Wang Jing , Liu Enqing , Wang Yue , Qiao Yijuan , Zhang Tao , Li Baojuan , Zhang Zhiwei , Li Nan , Hu Gang 
Published: September 2018

AbstractObjectivesTo examine the potential effects of mothers' early pregnancy body mass index (BMI) and children's birth weight on childhood overweight/obesity at 1‐6 years of age.MethodsWe performed a cohort study in Tianjin, China, using the health care records from the Tianjin maternal and child health care system with 36 719 mother‐child pairs from early pregnancy to children at 6 years of age. Logistic regression analyses were used to assess the single and joint associations of maternal early pregnancy BMI and children's birth weight with the risks of children being overweight at 1‐6 years of age in multivariable‐adjusted models.ResultsBoth maternal early pregnancy BMI and children's birth weight were positively associated with the risk of children being overweight at 1‐6 years of age. Compared with children who were born to normal weight mothers and had low or normal birth weight (NBW; birth BMI < 85%), higher risks of being overweight at 1‐6 years were found among children with low or NBW who were born to overweight mothers, and children with high NBW (BMI ≥ 85%) or macrosomia who were born to normal weight or overweight mothers. Lower risks of being overweight were found among those with low birth weight who were born to normal weight mothers.ConclusionsMaternal early pregnancy BMI may play a more important role than children's birth weight in the risk of being overweight from 4 to 6 years of age. Children with high or NBW need to be given more attention to prevent excessive weight gain.
How [Fe]‐Hydrogenase from Methanothermobacter is Protected Against Light and Oxidative Stress
Authors: Wagner Tristan , Huang Gangfeng , Ermler Ulrich , Shima Seigo 
Published: September 2018

Abstract[Fe]‐hydrogenase (Hmd) catalyzes the reversible hydrogenation of methenyltetrahydromethanopterin (methenyl‐H4MPT+) with H2. Hmd contains the iron–guanylylpyridinol (FeGP) cofactor, which is sensitive to light and oxidative stress. A natural protection mechanism is reported for Hmd based on structural and biophysical data. Hmd from Methanothermobacter marburgensis (mHmd) was found in a hexameric state, where an expanded oligomerization loop is detached from the dimer core and intrudes into the active site of a neighboring dimer. An aspartic acid residue from the loop ligates to FeII of the FeGP cofactor and thus blocks the postulated H2‐binding site. In solution, this enzyme is in a hexamer‐to‐dimer equilibrium. Lower enzyme concentrations, and the presence of methenyl‐H4MPT+, shift the equilibrium toward the active dimer side. At higher enzyme concentrations—as present in the cell—the enzyme is predominantly in the inactive hexameric state and is thereby protected against light and oxidative stress.
3D‐Printed Carbon Electrodes for Neurotransmitter Detection
Authors: Yang Cheng , Cao Qun , Puthongkham Pumidech , Lee Scott T. , Ganesana Mallikarjunarao , Lavrik Nickolay V. , Venton B. Jill 
Published: September 2018

AbstractImplantable neural microsensors have significantly advanced neuroscience research, but the geometry of most probes is limited by the fabrication methods. Therefore, new methods are needed for batch‐manufacturing with high reproducibility. Herein, a novel method is developed using two‐photon nanolithography followed by pyrolysis for fabrication of free‐standing microelectrodes with a carbon electroactive surface. 3D‐printed spherical and conical electrodes were characterized with slow scan cyclic voltammetry (CV). With fast‐scan CV, the electrodes showed low dopamine LODs of 11±1 nm(sphere) and 10±2 nm(cone), high sensitivity to multiple neurochemicals, and high reproducibility. Spherical microelectrodes were used to detect dopamine in a brain slice and in vivo, demonstrating they are robust enough for tissue implantation. This work is the first demonstration of 3D‐printing of free‐standing carbon electrodes; and the method is promising for batch fabrication of customized, implantable neural sensors.
3D interconnected high aspect ratio tellurium nanowires in epoxy nanocomposites: serving as thermal conductive expressway
Authors: Yan Changzeng , Yu Tianhang , Ji Chao , Zeng Xiaoliang , Lu Jibao , Sun Rong , Wong Ching‐Ping 
Published: September 2018

ABSTRACTHeat removal via thermal management materials is attracting more and more attention in the electronic industry. Conventional particle/polymer thermal conductive composites require a high filler loading ratio (>30 vol %), which cause severe thermal interfacial resistance and mechanical issue. In this work, we fabricate tellurium nanowires (NWs)/epoxy nanocomposites via a facile bar coating method. According to Agari model and Maxwell–Eucken model, the as‐synthesized ultra‐long NWs with high aspect ratio (>100) construct the 3D interconnected thermal conductive network better in resin matrix to facilitate the heat transfer process. The results show that at a low loading ratio of 2.4 vol %, this nanocomposite exhibits the out‐of‐plane and in‐plane thermal conductivity of 0.378 and 1.63 W m−1 K−1, respectively, which is 189 and 715% higher than that of pure epoxy resin. Importantly, good stability, and flexibility of nanocomposites are well maintained. © 2018 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2019, 136, 47054.
Design optimization of combined piled raft foundations considering uncertainty
Authors: Huber Maximilian , Dufour Corentin , Adam Dietmar , Wieser Thomas 
Published: September 2018

AbstractCities are often seen as centres of economic growth, providing opportunities for study, innovation and employment. An increasing part of the European Union population lives and works in cities and it is widely expected that these patterns will continue as urban areas account for a greater share of activity. This asks for high rise buildings and advanced foundations systems, which are able to transfer high loads from the ground surface into deeper layers. In this contribution we focused on the design optimisation of combined piled raft foundations (CPRF) under uncertainty of load and resistances. We developed a novel optimization algorithm considering the uncertainty of load and resistance parameters. This innovative scheme is applied to an illustrative case study of a combined piled raft foundation in order to show the strength of the proposed approach.
Tackling uncertainty in structural lifetime evaluations
Authors: Sanio David , Ahrens Mark Alexander , Mark Peter 
Published: September 2018

AbstractAt present, investigation, rehabilitation and if necessary deconstruction and replacement of civil infrastructure are key challenges in structural engineering. Internationally, the number of bridges that show a critical state of preservation is growing while traffic loads, frequencies and freight amounts are still rising. Against the background of economic constraints authorities are challenged to decide on the right measures and order to take. Sound decisions rest on reliable data concerning structural health states and safely estimated residual lifetimes. Among experts it is widely accepted that estimated residual lifetimes must involve uncertainties from various domains like modelling assumptions, material data assessment, realistic traffic loads etc. Uncertainties reduce accuracies and thus might reduce computed residual lifetimes. To overcome this burden, model updates, material testing, traffic census or at best monitoring of sensitive structural elements can be applied. The contribution presents up‐to‐date methods and results of geometry assessments from laser scans, multi‐copter overflights or mobile mapping, material testing, FE‐model updates from test loadings on‐site, data and video based traffic census, transient temperature constraint evaluations from climate data as well as strain monitoring of tendons at a large scale concrete bridge. The measures are stochastically evaluated to quantify potential gains even if correlation of model parameters is involved.
Advanced hysteresis method for early damage detection of fastening systems in concrete under fatigue load
Authors: Hoepfner Marvin 
Published: September 2018

AbstractThis paper presents an advanced method for the characterization of the fatigue failure and corresponding load process of fastening systems in concrete. The required hysteresis model is based on mathematical and physical principals with a secondary approximation of the hysteresis loops using measurement data in accordance with conformance criteria. Thus conventional characteristic values of the hysteresis loop, displacements, stiffness's and energies could be determined. The developed predictive model uses four adjustment parameters (determined through regression analysis) and was applied to experimental fatigue tests of anchor channels in concrete. Investigations of these adjustment parameters revealed the potential to identify an indicator for the early prediction of experimental tests, in relation to specific changes and processes in the shape and area of hysteresis loops. These geometric properties effect modifications of the hysteresis centroid – being a sensitive characteristic of the loop form, is determined through numerical methods and analysed in correlation with the four adjustment parameters.
Reliability levels related to different reference periods and consequence classes
Authors: Holicky Milan , Diamantidis Dimitris , Sykora Miroslav 
Published: September 2018

AbstractThe target reliability levels recommended in various national and international documents for new and existing structures are quite different and vaguely related to types of structures and consequences of failure. The optimum reliability levels can be obtained by considering the total expected cost of the structure over the design working life. Indicative values of reliability indexes are given in EN 1990 (2002) for two reference periods, 1 year and 50 years. The annual target reliability levels βt1 are presently indicated in the recent draft of EN 1990 (2017) without any explicit link to different reference period or design working life. When determining the target reliability index for the reference period of n years that generally differs from the design working life, correlation of failure events in subsequent years should be taken into account. Considering the annual reliability index β1 an approximate formula is proposed for the reliability index βnk related to the reference period of n years and independence interval of k years. The independence interval k ≤ n corresponds to the mean time period in years for which the failures in subsequent periods of k years are assumed to be mutually independent. The operational use of the proposed formula is clarified by practical tools. The reliability differentiation reflected in consequence classes is also discussed in this contribution.
Effects of multivariate dependence modelling on reliability estimates
Authors: Spyridis Panagiotis , Tamparopoulos Alexios , Bergmeister Konrad 
Published: September 2018

AbstractThe assessment of a structure's performance is directly linked with reliability and safety issues, which are strongly associated to the random nature of load and resistance effects. Moreover, intrinsic properties of probabilistic models should relate to the commonly encountered dependencies among the input random variables. With respect to that, a significant advance towards effective modelling in current practice of structural reliability engineering has been achieved by integrating scalar indices, such as correlation coefficients. However, case may be that this approach overlooks, or even induces considerable uncertainties. Therefore, models which acknowledge and estimate this uncertainty type can serve the requirements for high modelling efficiency and improved predictions. In the present study, the uncertainties pertaining to multivariate idiosyncrasy are discussed, and a generalised dependence structure paradigm is suggested. The predictive potential of resulting models is demonstrated on showcase applications.
Stochastic engineering framework for timber structural elements
Authors: Kandler Georg , Lukacevic Markus , Wolff Sebastian , Füssl Josef 
Published: September 2018

AbstractDue to the natural growth process of trees, the resulting wooden boards show a high amount of random fluctuation in their mechanical properties. In this work, a framework able to consider the impact of random stiffness fluctuations of wooden boards on the performance of glued laminated timber (GLT) is presented. A 2D finite element model is employed to depict the interactions between individual laminations and is integrated into a commercial robustness analysis and optimisation software package.The mechanical properties of each board are obtained during the grading process and are condensed into so‐called stiffness and strength profiles. Based thereon, a probabilistic material model is developed for the random generation of an arbitrary number of stiffness and strength profiles. On basis of the probabilistic material model and the mechanical FE model, the sensitivity to changes in the design can be explored. Subsequently, the optimal design parameters of the user‐defined structure are identified.An exemplary application scenario shows the workflow for determining the optimum hole dimensions and location in a GLT beam. The material model indicates large scatter in the mechanical properties, leading to conservative results. Nonetheless, the example shows the strengths of the employed workflow from sensitivity analysis to best designs.
Extended Abstracts of the 16th International Probabilistic Workshop 2018 in Vienna
Authors: Strauss Alfred , Bergmeister Konrad , Proske Dirk , Bergmann Sarah , Hegger Josef , Ricker Marcus , Rempel Sergej , Kalogeraki Charikleia , Gakis Angelos , Spyridis Panagiotis , Landi Filippo , Marsili Francesca , Friedman Noemi , Croce Pietro , Pan Lixia , Lehký David , Novák Drahomír , Slowik Ondřej , Spyridis Panagiotis , Stephani Alexander , Van Coile Ruben , Khorasani Negar Elhami , Gernay Thomas , Hopkin Danny , Marsili Francesca , Bödefeld Jörg , Daduna Hans , Talarico Luca , Reniers (Genserik) , van Gelder (Pieter) , Sousa Hélder S. , Matos José C. , Branco Jorge M. , Lourenço Paulo B. , Machado José S. , Pereira Filipe , Tran Ngoc Linh , Graubner Carl‐Alexander , Lipowczan Martin , Šomodíková Martina , Hopkin Charlie , Fu Ian , Spearpoint Michael , Molod Mohammad Amin Esmail , Barthold Franz‐Joseph , Šimonová Hana , Lipowczan Martin , Kucharczyková Barbara , Keršner Zbyněk , Sauer Axel , Olfert Alfred , Körte Lisa , Ortlepp Regine , Mold Lisa , Krug Bernhard , Frangopol Dan M. , Jung Karel , Marková Jana , Sýkora Miroslav , Zou Guang , Banisoleiman Kian , González Arturo , Márföldi Monika , Sokol Milan , Lamperová Katarína , Venglár Michal 
Published: September 2018

AbstractIn this compilation, the contributions published as extended abstracts of the 16th International Probabilistic Workshop 2018 in Vienna are collected. This article is also published in the Wiley Online Library (WOL) at https://doi.org/10.1002/best.201800059.In addition to these Extended Abstracts, all contributions can be found online as a Full Paper on the same doi in the corresponding and so called Supporting Information.
The relations among animal abuse, psychological disorders, and crime: Implications for forensic assessment
Authors: Ascione Frank R. , McDonald Shelby E. , Tedeschi Philip , Williams James Herbert 
Published: September 2018

AbstractThe confluence of developments in the assessment of animal abuse, the evolution of psychiatric nosology for the diagnosis of conduct disorder, legislative changes involving crimes against non‐human animals, and the recent inclusion of crimes against animals in the FBI's National Incident‐Based Reporting System, highlights the critical need for examining the forensic dimensions of animal abuse cases. We provide an overview of the research literature on these topics in the hope that forensic evaluators will have an evidence‐based framework for assessing cases they encounter that include perpetration of violence against animals.