bluuebunny/crossref_metadata_2025_split huggingface dataset:
Combining Biomimetic Block Copolymer Worms with an Ice‐Inhibiting Polymer for the Solvent‐Free Cryopreservation of Red Blood Cells
Authors: Mitchell Daniel E. , Lovett Joseph R. , Armes Steven P. , Gibson Matthew I. 
Published: January 2016

AbstractThe first fully synthetic polymer‐based approach for red‐blood‐cell cryopreservation without the need for any (toxic) organic solvents is reported. Highly hydroxylated block copolymer worms are shown to be a suitable replacement for hydroxyethyl starch as a extracellular matrix for red blood cells. When used alone, the worms are not a particularly effective preservative. However, when combined with poly(vinyl alcohol), a known ice‐recrystallization inhibitor, a remarkable additive cryopreservative effect is observed that matches the performance of hydroxyethyl starch. Moreover, these block copolymer worms enable post‐thaw gelation by simply warming to 20 °C. This approach offers a new solution for both the storage and transport of red blood cells and also a convenient matrix for subsequent 3D cell cultures.
Elemental‐Sulfur‐Mediated Facile Synthesis of a Covalent Triazine Framework for High‐Performance Lithium–Sulfur Batteries
Authors: Talapaneni Siddulu Naidu , Hwang Tae Hoon , Je Sang Hyun , Buyukcakir Onur , Choi Jang Wook , Coskun Ali 
Published: January 2016

AbstractA covalent triazine framework (CTF) with embedded polymeric sulfur and a high sulfur content of 62 wt % was synthesized under catalyst‐ and solvent‐free reaction conditions from 1,4‐dicyanobenzene and elemental sulfur. Our synthetic approach introduces a new way of preparing CTFs under environmentally benign conditions by the direct utilization of elemental sulfur. The homogeneous sulfur distribution is due to the in situ formation of the framework structure, and chemical sulfur impregnation within the micropores of CTF effectively suppresses the dissolution of polysulfides into the electrolyte. Furthermore, the triazine framework facilitates electron and ion transport, which leads to a high‐performance lithium–sulfur battery.
Scalable Total Synthesis of rac‐Jungermannenones B and C
Authors: Liu Weilong , Li Houhua , Cai Pei‐Jun , Wang Zhen , Yu Zhi‐Xiang , Lei Xiaoguang 
Published: January 2016

AbstractReported is the first scalable synthesis of rac‐jungermannenones B and C starting from the commercially available and inexpensive geraniol in 10 and 9 steps, respectively. The unique jungermannenone framework is rapidly assembled by an unprecedented regioselective 1,6‐dienyne reductive cyclization reaction which proceeds through a vinyl radical cyclization/allylic radical isomerization mechanism. DFT calculations explain the high regioselectivity observed in the 1,6‐dienyne reductive radical cyclization.
Rapid Determination of Fast Protein Dynamics from NMR Chemical Exchange Saturation Transfer Data
Authors: Gu Yina , Hansen Alexandar L. , Peng Yu , Brüschweiler Rafael 
Published: January 2016

AbstractFunctional motions of 15N‐labeled proteins can be monitored by solution NMR spin relaxation experiments over a broad range of timescales. These experiments however typically take of the order of several days to a week per protein. Recently, NMR chemical exchange saturation transfer (CEST) experiments have emerged to probe slow millisecond motions complementing R1ρ and CPMG‐type experiments. CEST also simultaneously reports on site‐specific R1 and R2 parameters. It is shown here how CEST‐derived R1 and R2 relaxation parameters can be measured within a few hours at an accuracy comparable to traditional relaxation experiments. Using a “lean” version of the model‐free approach S2 order parameters can be determined that match those from the standard model‐free approach applied to 15N R1, R2, and {1H}‐15N NOE data. The new methodology, which is demonstrated for ubiquitin and arginine kinase (42 kDa), should serve as an effective screening tool of protein dynamics from picosecond‐to‐millisecond timescales.
DNA Nanoparticles for Improved Protein Synthesis In Vitro
Authors: Galinis Robertas , Stonyte Greta , Kiseliovas Vaidotas , Zilionis Rapolas , Studer Sabine , Hilvert Donald , Janulaitis Arvydas , Mazutis Linas 
Published: January 2016

AbstractThe amplification and digital quantification of single DNA molecules are important in biomedicine and diagnostics. Beyond quantifying DNA molecules in a sample, the ability to express proteins from the amplified DNA would open even broader applications in synthetic biology, directed evolution, and proteomics. Herein, a microfluidic approach is reported for the production of condensed DNA nanoparticles that can serve as efficient templates for in vitro protein synthesis. Using phi29 DNA polymerase and a multiple displacement amplification reaction, single DNA molecules were converted into DNA nanoparticles containing up to about 104 clonal gene copies of the starting template. DNA nanoparticle formation was triggered by accumulation of inorganic pyrophosphate (produced during DNA synthesis) and magnesium ions from the buffer. Transcription–translation reactions performed in vitro showed that individual DNA nanoparticles can serve as efficient templates for protein synthesis in vitro.
Enantioselective N‐Heterocyclic Carbene Catalysis by the Umpolung of α,β‐Unsaturated Ketones
Authors: Nakano Yuji , Lupton David W. 
Published: January 2016

AbstractN‐Heterocyclic carbene‐catalyzed formation of β‐anionic intermediates from enones has been employed in the enantioselective synthesis of 2‐aryl propionates. The reaction was achievable using a homochiral 4‐MeOC6H4 morpholinone catalyst allowing the first example of enantioselective catalysis by umpolung of α,β‐unsaturated ketones. The reaction is high yielding, and shows robustness with reasonable generality. A mechanism is proposed in which the enantiodetermining protonation is achieved using either hexafluoroisopropanol or the formed naphthol product.
Swelling behavior of coal in solvent at elevated temperature and pressure and non‐isothermal kinetic analysis
Authors: Chen Lei , Zhao Longtao , Cao Yi. , Li Yanxun , Lv Hekun , Zhang Hao 
Published: January 2016

AbstractThe swelling ratio of a packed coal bed in a coal liquefaction process derived recycle solvent (REC) and pure tetralin (THN) at elevated temperature and pressure is obtained by a so‐called linear variable differential transformer (LVDT) deformation transducer apparatus. Effects of heating rate and coal rank on the swelling behavior are investigated. A kinetic model based on a pseudopolymolecular reaction is used to model the swelling data up to the maximum swelling ratio. With the increase of the temperature, the thermal motion of solvent molecule and coal macromolecules is enhanced, and the interactions increase between coal macromolecules and solvent molecule. As the temperature is further increased, the swelling ratio of the packed coal bed reduces for the softening and decomposition of coal. For faster heating rates, the maximum swelling ratio shifts to higher temperature and the apparent activation energy and pre‐exponential factor slightly increase with the increase of heating rates. A comparison of coal rank illustrates that the maximum swelling ratio of bituminous coal in REC and THN is more and shows at higher temperature than lignite. The apparent activation energy for coals swelling in REC and THN at elevated temperature and pressure is between 20 and 55 kJ/mol. © 2016 Curtin University of Technology and John Wiley & Sons, Ltd.
Extraction and characterization of holocellulose fibers by microwave‐assisted selective liquefaction of bamboo
Authors: Xie Jiulong , Hse Chung‐Yun , Shupe Todd F. , Pan Hui , Hu Tingxing 
Published: January 2016

ABSTRACTMicrowave‐assisted selective liquefaction was proposed and used as a novel method for the isolation of holocellulose fibers. The results showed that the bamboo lignin component and extractives were almost completely removed by using a liquefaction process at 120 °C for 9 min, and the residual lignin and extractives in the solid residue were as low as 0.65% and 0.49%, respectively. Increasing the reaction temperature or time could decrease the solid yield, but they can also enhance the removal of lignin and extractives from bamboo particles and increase the holocellulose content in the solid residue. The absorbance bands that characterized functional groups of lignin on the Fourier transform infrared spectra of the solid residue weakened or disappeared. The solid residue showed high crystallinity, indicating the removal of noncellulosic material. Small cracks were observed on the SEM images of the residue, which indicated that the fibers from liquefaction may be susceptible to chemical access or enzyme attack. © 2016 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2016, 133, 43394.
Estimation of the mechanical properties of urea–formaldehyde microcapsules by compression tests and finite element analysis
Authors: Ma Wanpeng , Zhang Wei , Zhao Yang , Wang Sijie 
Published: January 2016

ABSTRACTInformation on the mechanical properties of microcapsules is essential to understanding their performance during manufacturing, processing, and applications. The mechanical properties of urea–formaldehyde (UF) microcapsules filled with ethyl phenyl acetate (EPA) were determined by applying single‐microcapsule compression and a finite element model. Microcapsules were prepared by in situ polymerization, and the average wall thickness of microcapsules was 192 ± 12 nm as determined using scanning electron microscopy. The deformation behavior of the microcapsule was measured by a single‐microcapsule compression experiment between two parallel plates. The results show that both burst deformation and burst force were linearly related to microcapsule size. A model for an elastic shell filled with incompressible fluid was used to simulate compression of the microcapsule in ABAQUS. Dimensionless parameters were introduced to the model. The relationship between dimensionless force and dimensionless displacement depended on the ratio of wall thickness to diameter (ε). However, the relationship remained the same when ε was less than 1% and can be fitted well by the mathematical equation. An estimation of Young's modulus can be obtained from the compression data for the dimensionless deformation from 10% to 15%. The average Young's modulus of a UF/EPA microcapsule is estimated to be 2.12 ± 0.45 GPa. © 2016 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2016, 133, 43414.
Novel and sensitive UPLC–MS/MS method for quantification of sofosbuvir in human plasma: application to a bioequivalence study
Authors: Rezk Mamdouh R. , Basalious Emad B. , Amin Mohammed E. 
Published: January 2016

AbstractA novel and sensitive LC–MS/MS method was developed and validated for determination of sofosbuvir (SF) using eplerenone as an internal standard. The Xevo TQD LC–MS/MS was operated under the multiple‐reaction monitoring mode using electrospray ionization. Extraction with tert‐butyl methyl ether was used in sample preparation. The prepared samples were chromatographed on Acquity UPLC BEH C18 (50 × 2.1 mm, 1.7 μm) column by pumping 0.1% formic acid and acetonitrile in an isocratic mode at a flow rate of 0.35 mL/min. Method validation was performed as per the US Food and Drug Administration guidelines and the standard curves were found to be linear in the range of 0.25–3500 ng/mL for SF. The intra‐ and inter‐day precision and accuracy results were within the acceptable limits. A very short run time of 1 min made it possible to analyze more than 500 human plasma samples per day. A very low quantification limit of SF allowed the applicability of the developed method for determination of SF in a bioequivalence study in human volunteers. Copyright © 2016 John Wiley & Sons, Ltd.
Electrodeposition of Inorganic Oxide/Nanocarbon Composites: Opportunities and Challenges
Authors: Janáky Csaba , Kecsenovity Egon , Rajeshwar Krishnan 
Published: January 2016

AbstractThe front cover artwork is provided by C. Janáky (University of Szeged, Hungary) and K. Rajeshwar (University of Texas at Arlington, USA). The image shows how electrodeposition can be used to obtain inorganic oxide/nanocarbon hybrid architectures with properties tailored towards specific applications. Read the full text of the Minireview at 10.1002/celc.201500460.
Hollow Zn/Co Zeolitic Imidazolate Framework (ZIF) and Yolk–Shell Metal@Zn/Co ZIF Nanostructures
Authors: Rösler Christoph , Aijaz Arshad , Turner Stuart , Filippousi Maria , Shahabi Azar , Xia Wei , Van Tendeloo Gustaaf , Muhler Martin , Fischer Roland A. 
Published: January 2016

AbstractMetal–organic frameworks (MOFs) feature a great possibility for a broad spectrum of applications. Hollow MOF structures with tunable porosity and multifunctionality at the nanoscale with beneficial properties are desired as hosts for catalytically active species. Herein, we demonstrate the formation of well‐defined hollow Zn/Co‐based zeolitic imidazolate frameworks (ZIFs) by use of epitaxial growth of Zn‐MOF (ZIF‐8) on preformed Co‐MOF (ZIF‐67) nanocrystals that involve in situ self‐sacrifice/excavation of the Co‐MOF. Moreover, any type of metal nanoparticles can be accommodated in Zn/Co‐ZIF shells to generate yolk–shell metal@ZIF structures. Transmission electron microscopy and tomography studies revealed the inclusion of these nanoparticles within hollow Zn/Co‐ZIF with dominance of the Zn‐MOF as shell. Our findings lead to a generalization of such hollow systems that are working effectively to other types of ZIFs.
Design and Syntheses of Three Novel Carbonate Halides: Cs3Pb2(CO3)3I, KBa2(CO3)2F, and RbBa2(CO3)2F
Authors: Liu Lili , Yang Yun , Dong Xiaoyu , Zhang Bingbing , Wang Ying , Yang Zhihua , Pan Shilie 
Published: January 2016

AbstractThree new carbonate halides, Cs3Pb2(CO3)3I, KBa2(CO3)2F and RbBa2(CO3)2F have been synthesized with hydrothermal and solid‐state methods. Cs3Pb2(CO3)3I is the first product in the lead carbonate iodides family; KBa2(CO3)2F and RbBa2(CO3)2F are the first two centrosymmetric compounds found in the alkaline–alkaline earth carbonate fluorides family. Cs3Pb2(CO3)3I crystallizes in a centrosymmetric space group C2/m, and exhibits a two‐ dimensional layered structure which is formed by [Cs4Pb4(CO3)6I2]∞ double‐layers consisting of [Pb2(CO3)3I]∞ single‐layers bridged by the Cs atoms. KBa2(CO3)2F and RbBa2(CO3)2F, which are isostructural, crystallize in a trigonal crystal system with a centric space group of R
featuring a honeycomb‐like framework. First principle calculations indicate that Cs3Pb2(CO3)3I has a moderate birefringence and explain the difference between the band gaps of the title compounds from electron structures. The effects of cations and halogens on the structures and properties of the title compounds are also discussed.
Modeling and Simulation of a Tube Bundle Adsorber for the Capture of CO2 from Flue Gases
Authors: Duarte Gabriel Salazar , Schürer Benedikt , Voss Christian , Bathen Dieter 
Published: January 2016

AbstractBesides absorption and membrane processes, temperature swing adsorption (TSA) processes allow for the removal of impurities from gas streams and the recovery of the adsorbed component with high purity. However, especially in the case of large quantities of impurities (e.g., CO2 in flue gas) the TSA processes suffer from their high energetic demand. To reduce this energy demand tube bundle adsorbers with indirectly heated and cooled adsorbent bed were developed. The influence of several parameters on the performance of these adsorbers in a capturing process for CO2 from a dry flue gas is investigated. A detailed 2D model is derived and several parameter sweeps are conducted. It is observed that the inner thermal resistance plays a dominant role on the performance of the process.
AL‐DDCNN: a distributed crossing semantic gap learning for person re‐identification
Authors: Cheng Keyang , Zhan Yongzhao , Qi Man 
Published: January 2016

SummaryBy the reason of the variability of light and pedestrians' appearance, it is hard for a camera to obtain a clear human figure. Person re‐identification with different cameras is a difficult visual recognition task. In this paper, a novel approach called attribute learning based on distributed deep convolutional neural network model is proposed to address person re‐identification task. It shows how attributes, namely the mid‐level medium between classes and features, are obtained automatically and how they are employed to re‐identify person with semantics when an author‐topic model is used to mapping category. Besides, considering the ability to operate on raw pixel input without the need to design special features, deep convolutional neural network is employed to generate features without supervision for attributes learning model. To overcome the model's weakness in computing speed, parallelized implementations such as distributed parameter manipulation and attributes learning are employed in attribute learning based on distributed deep convolutional neural network model. Experiments show that the proposed approach achieves state‐of‐the‐art recognition performance in the VIPeR data set and is with a good semantic explanation. Copyright © 2016 John Wiley & Sons, Ltd.
Dynamic resource demand prediction and allocation in multi‐tenant service clouds
Authors: Verma Manish , Gangadharan G. R. , Narendra Nanjangud C. , Vadlamani Ravi , Inamdar Vidyadhar , Ramachandran Lakshmi , Calheiros Rodrigo N. , Buyya Rajkumar 
Published: January 2016

SummaryCloud computing is emerging as an increasingly popular computing paradigm, allowing dynamic scaling of resources available to users as needed. This requires a highly accurate demand prediction and resource allocation methodology that can provision resources in advance, thereby minimizing the virtual machine downtime required for resource provisioning. In this paper, we present a dynamic resource demand prediction and allocation framework in multi‐tenant service clouds. The novel contribution of our proposed framework is that it classifies the service tenants as per whether their resource requirements would increase or not; based on this classification, our framework prioritizes prediction for those service tenants in which resource demand would increase, thereby minimizing the time needed for prediction. Furthermore, our approach adds the service tenants to matched virtual machines and allocates the virtual machines to physical host machines using a best‐fit heuristic approach. Performance results demonstrate how our best‐fit heuristic approach could efficiently allocate virtual machines to hosts so that the hosts are utilized to their fullest capacity. Copyright © 2016 John Wiley & Sons, Ltd.
Conjugate gradient neural network‐based online recognition of glass defects
Authors: Jin Yong , Weng Jialiang , Wang Zhaoba 
Published: January 2016

SummaryOnline recognition of glass defects plays an important role in improving the quality of glass products. This paper presents a conjugate gradient neural network‐based method, which combines phase map and the defective image for recognition of glass defects. The boundary coordinates of the connected defect region are calculated and used to extract the defect region in the defective image correspondingly. The piecewise linear gray‐level transformation is designed to reduce the noise and to enhance the signal‐to‐noise ratio of the defective image. The second iteration segmentation based on gray range is applied to calculate the low and high thresholds, and the ternary‐valued defective image is acquired. The seven features calculated by Hu invariant moment and four features extracted from the ternary‐valued defective image are used as inputs of the conjugate gradient neural network to recognize the defect type. Experimental results show that the accuracy of the recognition reaches up to 93%. Copyright © 2016 John Wiley & Sons, Ltd.
Capturing recurring concepts using discrete Fourier transform
Authors: Sakthithasan Sripirakas , Pears Russel 
Published: January 2016

SummaryIn this research, we address the problem of capturing recurring concepts in a data stream environment. Recurrence capture enables the reuse of previously learned classifiers without the need for relearning while providing for better accuracy during the concept recurrence interval. We capture concepts by applying the discrete Fourier transform to decision tree classifiers to obtain highly compressed versions of the trees at concept drift points in the stream and store such trees in a repository for future use. In addition, the impact of drift detector in enabling stable performance is also studied with the two drift detectors: ADWIN and SeqDrift2 in recurring concept capturing context. Our empirical results on real world and synthetic data exhibiting varying degrees of recurrence show that the Fourier compressed trees are more robust to noise and are able to capture recurring concepts with higher precision than a meta‐learning approach that chooses to reuse classifiers in their originally occurring form. A case study on a flight dataset that closely matches the target data stream environment where concepts recur in similar form in a time critical system is also conducted and the benefits of discrete Fourier transform application is evaluated. Copyright © 2016 John Wiley & Sons, Ltd.
Thickness‐ and Particle‐Size‐Dependent Electrochemical Reduction of Carbon Dioxide on Thin‐Layer Porous Silver Electrodes
Authors: Zhang Lin , Wang Zhiyong , Mehio Nada , Jin Xianbo , Dai Sheng 
Published: January 2016

AbstractThe electrochemical reduction of CO2 can not only convert it back into fuels, but is also an efficient manner to store forms of renewable energy. Catalysis with silver is a possible technology for CO2 reduction. We report that in the case of monolithic porous silver, the film thickness and primary particle size of the silver particles, which can be controlled by electrochemical growth/reduction of AgCl film on silver substrate, have a strong influence on the electrocatalytic activity towards CO2 reduction. A 6 μm thick silver film with particle sizes of 30–50 nm delivers a CO formation current of 10.5 mA cm−2 and a mass activity of 4.38 A gAg−1 at an overpotential of 0.39 V, comparable to levels achieved with state‐of‐the‐art gold catalysts.