bluuebunny/crossref_metadata_2025_split huggingface dataset:
Iron Oxide Nanoparticles Labeled with an Excited‐State Intramolecular Proton Transfer Dye
Authors: de Oliveira Elisa M. N. , Coelho Felipe L. , Zanini Mara L. , Papaléo Ricardo M. , Campo Leandra F. 
Published: June 2016

AbstractExcited‐state intramolecular proton transfer (ESIPT) is a particularly well known reaction that has been very little studied in magnetic environments. In this work, we report on the photophysical behavior of a known ESIPT dye of the benzothiazole class, when in solution with uncoated superparamagnetic iron oxide nanoparticles, and when grafted to silica‐coated iron oxide nanoparticles. Uncoated iron oxide nanoparticles promoted the fluorescence quenching of the ESIPT dye, resulting from collisions during the lifetime of the excited state. The assembly of iron oxide nanoparticles with a shell of silica provided recovery of the ESIPT emission, due to the isolation promoted by the silica shell. The silica network gives protection against the fluorescence quenching of the dye, allowing the nanoparticles to act as a bimodal (optical and magnetic) imaging contrast agent with a large Stokes shift.
Local Geometric Effects on Stability and Energy Gap of Thiolate‐Protected Gold Nanoparticles
Authors: Bu YiFan , Zhao Ming , He Yuquan , Gao Wang , Jiang Qing 
Published: June 2016

AbstractThiolate‐protected gold nanoclusters, Aum(SR)n, have potential applications in many fields due to their high stability and remarkable electronic properties. However, the controlling factors in determining the stability and HOMO–LUMO gap of Aum(SR)n remain controversial, despite decades of work on the topic. Through DFT calculations, including nonlocal many‐body dispersion (MBD) interactions, the geometric and electronic properties of Aum(SR)n clusters are investigated. Calculations demonstrate that the MBD interactions are essential for correctly describing the geometry and energy of the clusters. Greater anisotropic polarization and more atoms distributed in the shell of the clusters lead to more pronounced MBD interactions and higher stability of the clusters. Furthermore, the HOMO–LUMO gap of the clusters strongly depends on the gold core. These results provide critical clues for understanding and designing Aum(SR)n clusters.
Safe, Selective, and High‐Yielding Synthesis of Acryloyl Chloride in a Continuous‐Flow System
Authors: Movsisyan Marine , Heugebaert Thomas S. A. , Dams Rudy , Stevens Christian V. 
Published: June 2016

AbstractAcid chlorides are an important class of compounds and their high reactivity and instability has prompted us to develop a straightforward procedure for their synthesis with on‐demand and on‐site synthesis possibilities. The focus of this report is acryloyl chloride, mainly important for the acrylate and polymer industry. A continuous‐flow methodology was developed for the fast and selective synthesis of the otherwise highly unstable acryloyl chloride. Three routes were investigated in a microreactor setup and all three can potentially be used for its production. The methodology was further expanded to the synthesis of other unstable acid chlorides by both the thionyl chloride and the oxalyl chloride mediated processes. The most sustainable method was the oxalyl chloride mediated procedure under solvent‐free conditions, in which near‐equimolar amounts of carboxylic acid and oxalyl chloride were used in the presence of catalytic amounts of DMF at room temperature. Within 1 to 3 min, nearly full conversions into the acid chlorides were achieved.
Mortality salience effects on reckless driving intentions in a motorcyclist sample: The moderating role of group riding
Authors: Ivanov Igor , Vogel Tobias 
Published: June 2016

AbstractCampaigns against reckless driving often mention the risk of dying. Research on terror management theory indicates that death claims may backfire and foster reckless driving. Here, we studied such mortality salience effects in a motorcyclist sample. Two moderating variables, particularly interesting regarding the sample of motorcyclists, were considered: group riding (vs. riding alone) and driving‐related self‐esteem. Motorcyclists were exposed to a campaign, either highlighting mortality or not. Orthogonally, cyclists were primed with riding in a group (vs. riding alone). Driving‐related self‐esteem was assessed via a questionnaire. We predicted that reminders of riding in a group would buffer against ironic mortality effects. Supporting this hypothesis, mortality salience effects interacted with the group prime. The results indicate that death appeals are likely to backfire with cyclists riding alone rather than cyclists riding in a group, especially if motorcycling is relevant to the self.
Scaling Up and Characterization of Single‐Layer Fuel Cells
Authors: Zheng Yifeng , Xia Chen , Dong Wenjing , Li Junjiao , Zhu Bin 
Published: June 2016

AbstractSingle‐layer fuel cells (SLFCs) are the product of recent advances in low‐temperature solid‐oxide fuel cell (SOFC) research and development. Conventional three‐layer materials comprising an anode, an electrolyte, and a cathode have been replaced by one‐layer materials that can integrate all of the functions of fuel cell anodes, electrolytes, and cathodes into one function. Excellent performance, simple technology, and ultra‐low cost have increased the potential of SLFCs for commercialization. Therefore, methods should be developed to scale up this innovative and advanced SOFC technology for engineering use and further commercial applications. This work reports the scaling up of an SLFC through powder material preparation, pulp preparation and tape casting, cold‐press shaping, hot pressing, and final surface reduction to fabricate 6 cm×6 cm engineering cells with an active area of 25 cm2. Each SLFC delivers approximately 10 W of power at 525–550 °C. The performance of the device is comparable with or even better than that of conventional SOFCs. A maximum output power of 12.0 W (0.48 W cm−2) is obtained from the 6 cm×6 cm SLFC at 550 °C. This study develops a scaling‐up technology that uses tape casting and hot pressing to enhance the commercial uses of SLFC.
SELFNET Framework self‐healing capabilities for 5G mobile networks
Authors: Santos José Pedro , Alheiro Rui , Andrade Luís , Valdivieso Caraguay Ángel Leonardo , Barona López Lorena Isabel , Sotelo Monge Marco Antonio , Garcia Villalba Luís Javier , Jiang Wei , Schotten Hans , Alcaraz‐Calero Jose M. , Wang Qi , Barros Maria João 
Published: June 2016

AbstractNowadays, mobile networks are complex sets of heterogeneous equipments that use proprietary management applications, resulting in a huge expenditure, a large effort and a time‐consuming process to manage all network elements by means of currently manual or semi‐automatical approaches. With the emergency of new technologies, such software‐defined networking, network function virtualization, and cloud computing, the current configurable networks are capable of becoming programmable, which will facilitate advanced autonomous network management. This article presents capabilities of a novel framework proposed by the SELFNET project that enables highly autonomic management functionalities. It focuses on the proposed self‐healing use case that can be applied to reactively or preventively deal with the detected or predicted network failures. The SELFNET can provide the upcoming 5G system: an autonomic management framework, which brings a remarkable reduction upon operational expenditure and a substantial improvement of quality‐of‐experience(QoE) in terms of reliability, availability, service continuity and security. Copyright © 2016 John Wiley & Sons, Ltd.
On the immersed boundary‐lattice Boltzmann simulations of incompressible flows with freely moving objects
Authors: Wang Y. , Shu C. , Yang L. M. , Sun Y. 
Published: June 2016

SummaryFor simulating freely moving problems, conventional immersed boundary‐lattice Boltzmann methods encounter two major difficulties of an extremely large flow domain and the incompressible limit. To remove these two difficulties, this work proposes an immersed boundary‐lattice Boltzmann flux solver (IB‐LBFS) in the arbitrary Lagragian–Eulerian (ALE) coordinates and establishes a dynamic similarity theory. In the ALE‐based IB‐LBFS, the flow filed is obtained by using the LBFS on a moving Cartesian mesh, and the no‐slip boundary condition is implemented by using the boundary condition‐enforced immersed boundary method. The velocity of the Cartesian mesh is set the same as the translational velocity of the freely moving object so that there is no relative motion between the plate center and the mesh. This enables the ALE‐based IB‐LBFS to study flows with a freely moving object in a large open flow domain. By normalizing the governing equations for the flow domain and the motion of rigid body, six non‐dimensional parameters are derived and maintained to be the same in both physical systems and the lattice Boltzmann framework. This similarity algorithm enables the lattice Boltzmann equation‐based solver to study a general freely moving problem within the incompressible limit. The proposed solver and dynamic similarity theory have been successfully validated by simulating the flow around an in‐line oscillating cylinder, single particle sedimentation, and flows with a freely falling plate. The obtained results agree well with both numerical and experimental data. Copyright © 2016 John Wiley & Sons, Ltd.
Acceptability and solubility of iron and zinc contents of modified Moringa oleifera sauces consumed in the Far‐north region of Cameroon
Authors: Mawouma Saliou , Ponka Roger , Mbofung Carl Moses 
Published: June 2016

AbstractConsumption of Moringa oleifera leaves is a local and inexpensive solution to iron and zinc deficiencies in the Far‐north region of Cameroon. However, traditional household's cooking techniques result in sauces with high pH levels and low leaves incorporation rates that compromise the bioavailability of iron and zinc. The aim of our study was to investigate the effect of modifying a standard Moringa sauce on consumer acceptability and the solubility of iron and zinc, which is an indicator of their bioavailability. Lime juice or tamarind pulp was added to a standard recipe in order to reduce the pH by about one unit, and Moringa leaf powder was incorporated in each acidulated sauce at three levels (1, 2, and 4 g/100 g of sauce). All the formulations were evaluated for their acceptability by 30 housewives using a five‐point hedonic scale. The pH was measured by a digital electronic pH‐meter. Moisture and ash were determined by AOAC methods. Total iron and zinc contents were determined by atomic absorption spectrophotometry, and soluble iron and zinc by HCl‐extractability. The lime juice‐acidulated sauce and the tamarind pulp‐acidulated sauce enriched with 1 g of Moringa leaf powder were the most acceptable formulations with scores of 3.4 and 3.6, respectively. Their chemical analysis showed a reduced pH (6.4 and 6.1, respectively), compared to the Control (7.2). Lime juice‐acidulated sauce improved iron and zinc solubility from 42.19 to 66.38% and 54.03 to 82.03%, respectively. Tamarind pulp‐acidulated sauce enriched with 1 g of Moringa leaf powder showed a decrease in iron solubility from 42.19 to 38.26% and an increase in zinc solubility from 54.03 to 72.86%. These results confirm the beneficial effect of lime juice in improving iron and zinc bioavailability.
Proximate and biochemical characterization of burrito (Bachydeuterus auritus) and flying gurnard (Dactylopterus volitans)
Authors: Abbey Lawrence D. , Glover‐Amengor Mary , Atikpo Margaret Ottah , Howell Nazlin K. 
Published: June 2016

AbstractWith limited protein resources and depleting commercial fish species there is the need to improve utilization of some of the lesser known species which are underutilized, for example, big eye grunt (burrito), Bachydeuterus auritus, and the flying gurnard (Dactylopterus volitans), (other names Cephalocanthus volitans (local) Pampansre). This study was to characterize some of the proximate and biochemical properties of burrito and the flying gurnard so as to evaluate their potential for use in human nutrition and other value‐added products. Proximate and chemical analysis were determined by the methods of AOAC. Fatty acid profiles were determined following the method of Saaed and Howell (1999). Amino acid profiles for the species were determined according to Bidlingmeyer et al. (). The protein content of both the water soluble and salt soluble protein extracts of the fish species were determined by the Bradford Protein Assay method (Bradford ). Rancidity of the fish species was assessed by thiobarbituric acid reactive substances (TBARS) and Peroxide value (PV) as described by Saeed and Howell (). Burrito contained 18% protein, whereas the flying gurnard contained 22.3%. Calcium content was 296 mg/100 g for burrito and 185 mg/100 g for flying gurnard, whereas iron content was 4.1 mg/100 g and 1.0 mg/100 g for burrito and the flying gurnard, respectively. Palmitic acid (C16) was 27% and 14.3% for the flying gurnard and burrito, respectively. C17: 1ω8 was 3% in the flying gurnard and 0.2% in burrito. Oleic (C18:1ω9) was 17% in the flying gurnard and 6% in burrito. C20:4ω6 was 1.6% in the flying gurnard and 3% in burrito. Docosahexaenoic acid (C22:6ω3) was 4.9% in the flying gurnard and 4.0% in burrito. Both burrito and the flying gurnard are of high nutritional quality as they had a high protein content, good general amino acid profile and abundance of polyunsaturated fatty acids.
Method for calibrating a theoretical model in karst springs: an example for a hydropower station in South China
Authors: Luo Mingming , Chen Zhihua , Criss Robert E. , Zhou Hong , Jakada Hamza , Shi Tingting 
Published: June 2016

AbstractA theoretical, dimensionless rainfall–runoff model was used to simulate the discharge of Wulongdong spring in western Hubei province, South China. The single parameter (time constant τ) in the model is easy to obtain by fitting the recession rate of the observed hydrographs. The model was scaled by simply matching the total annual flow volume of the model to the observed value. Annual distribution of actual evapotranspiration was embedded in the model input to calculate the accumulated deficit of soil moisture before each rain event. Hourly precipitation input data performed better than daily data, defining τ of 0.85 days and returning a Nash–Sutcliffe efficiency of 0.89 and the root mean square error of 0.07. This model offers an effective way to simulate the discharge of karst springs that respond sensitively to rainfall events. The model parameters of a successful simulation can be used to estimate the recharge area and indicate the intrinsic response time of the basin. Copyright © 2016 John Wiley & Sons, Ltd.
Basin‐Scale Irrigation Planning in Areas with Scarce Data
Authors: Masumoto Takao , Yoshida Takeo , Kudo Ryoji 
Published: June 2016

AbstractThis paper presents a basin‐scale approach to irrigation planning for use in areas with scarce hydrological and meteorological data. We review the past development of cascade irrigation facilities in Cambodia's Kep Province and present the results of applying a distributed water circulation model that incorporates agricultural water use in Cambodia's Pursat River Basin. Basic hydrological and meteorological data are scarce for these areas, partly as a result of the Cambodian civil war. Although 70% of overall water use is for agriculture, irrigation rates in many areas of monsoonal Asia are low and farming depends mainly on rainwater, even in basins where paddy fields are dominant and water resources are abundant. Moreover, basic hydrological and meteorological data are scarce in these areas. Past irrigation planning proposals in these areas have not specified the required volumes of water or the necessary capacities of irrigation facilities. Our consideration of irrigation projects in the Pursat River Basin, based on meteorological data inputs estimated by using a general circulation and/or climate change model, showed that basin‐scale irrigation planning can be applied despite the scarcity of data. Application of the results of long‐term climate change modelling by Japan's Meteorological Research Institute and a distributed water circulation model developed by Institute for Rural Engineering, NARO (NIRE), show that it is possible to model and use basic data when observational data are inadequate. © 2016 The Authors. Irrigation and Drainage Published by John Wiley & Sons Ltd.
Micro‐Irrigation in Participatory Mode Pays Huge Dividends—Apmip Experiences, India
Authors: Reddy K. Yella 
Published: June 2016

AbstractIn India more than 80% of the renewable water resources are consumed in agriculture alone. The government of India has recognized the importance of micro‐irrigation for improving water and land productivity and identified a suitable potential area of 69 Mha. In order to make the systems costs affordable for farmers, the government has extended the subsidy on the equipment cost.Andhra Pradesh state launched the Andhra Pradesh Micro‐Irrigation Project (APMIP) in 2003 to promote this water‐saving irrigation technology on a large scale. The major thrust was to put the 3 million electrified pump sets in the state of Andhra Pradesh into micro‐irrigation. The project has so far covered more than 1.042 million ha under micro‐irrigation systems in a 9‐ year period with capital investment of US$533 million, benefiting 0.66 million farmers.The project is contributing an additional productivity of worth US$254 million (Rs 15 300 million) per annum. On an annual basis the project is indirectly helping a saving of 4.37 BCM (billion cubic metres) of water, 593 million kWh of energy. The attractive payback period of less than 3 years has influenced bankers to provide loans to farmers to procure micro‐irrigation systems. Copyright © 2016 John Wiley & Sons, Ltd.
River Basin Scale Analysis on the Return Ratio of Diverted Water from Irrigated Paddy Areas
Authors: Yoshida Takeo , Masumoto Takao , Horikawa Naoki , Kudo Ryoji , Minakawa Hiroki , Nawa Norio 
Published: June 2016

AbstractWater flows in irrigated paddy areas are complicated not only by the substantial volumes involved but also by repeated cycles of diversion and return flow. A spatially explicit hydrological model that simulates water diversion and return processes in irrigated paddy areas was used to evaluate the return ratio of diverted water to river basin. Assuming complete mixing of the rainfall and irrigated water over the entire irrigation period, the time‐averaged return flow was calculated using the simulated net drainage from the irrigated areas. The return ratio, which is defined as the fraction of the total return flow volume to the total diverted water volume, was 48.5% (ranging from 42.3 to 52.1%) in our case study. These values suggest that most of the water diverted to the irrigated paddies will be discharged except that which is lost through evapotranspiration, because we consider the return ratio during a sufficiently long period and for large irrigation areas. While the largest and smallest return ratios were obtained in the driest and wettest years, respectively, the correlation between rainfall amount and return ratio was not significant, suggesting the need for a more appropriate averaging period that accounts for the short‐term variabilities in return flow processes. Copyright © 2016 John Wiley & Sons, Ltd.
Empirical Bayesball Remixed: Empirical Bayes Methods for Longitudinal Data
Authors: Gu Jiaying , Koenker Roger 
Published: June 2016

SummaryEmpirical Bayes methods for Gaussian and binomial compound decision problems involving longitudinal data are considered. A recent convex optimization reformulation of the nonparametric maximum likelihood estimator of Kiefer and Wolfowitz (Annals of Mathematical Statistics1956;27: 887–906) is employed to construct nonparametric Bayes rules for compound decisions. The methods are illustrated with an application to predict baseball batting averages, and the age profile of batting performance. An important aspect of the empirical application is the general bivariate specification of the distribution of heterogeneous location and scale effects for players that exhibits a weak positive association between location and scale attributes. Prediction of players' batting averages for 2012 based on performance in the prior decade using the proposed methods shows substantially improved performance over more naive methods with more restrictive treatment of unobserved heterogeneity. Comparisons are also made with nonparametric Bayesian methods based on Dirichlet process priors, which can be viewed as a regularized, or smoothed, version of the Kiefer–Wolfowitz method. Copyright © 2016 John Wiley & Sons, Ltd.
Enhanced and selective permeability of gold nanoparticles functionalized with cell penetrating peptide derived from maurocalcine animal toxin
Authors: Khamehchian Sedigheh , Nikkhah Maryam , Madani Rasool , Hosseinkhani Saman 
Published: June 2016

AbstractFunctionalization of gold nanoparticles (GNPs) is suitable for many applications such as biomedical imaging, clinical diagnosis, and targeted delivery by conjugating cell‐penetrating peptides (CPPs). Here, we investigated intracellular uptake of GNP conjugated to MCaUF1‐9(Ala), a CPP derived from maurocalcine (MCa) animal toxin, and compared it with TAT functionalized GNP. Peptide conjugated GNP was characterized using UV‐Visible spectroscopy, dynamic light scattering, zeta potential, and transmission electron microscopy. Uptake of MCaUF1‐9(Ala) and TAT functionalized GNPs was evaluated in three cell lines, HeLa, MDA‐MB‐231, and A431, using dark field imaging and atomic absorption spectroscopy. According to peptide sequences and type of cells different cell penetrating activity was observed. Peptide functionalized GNP had little effect on cell viability and respect to net charge difference between peptide, showed interesting selectivity against three cell types. Peptide conjugated to GNPs displayed higher uptake than bare GNPs in the all cell lines except HeLa cell with lowest internalization. © 2016 Wiley Periodicals, Inc. J Biomed Mater Res Part A: 104A: 2693–2700, 2016.
Dendrigraft polylysine coated‐poly(glycolic acid) fibrous scaffolds for hippocampal neurons
Authors: Kojima Chie , Fusaoka‐Nishioka Eri , Imai Toshio , Nakahira Atsushi , Onodera Hiroshi 
Published: June 2016

AbstractPoly(glycolic acid) (PGA) fibers are a good candidate material for nerve cell scaffolds, which is applicable to the treatment of peripheral nerve injuries. Polylysine is widely used as a coating material for cell substrates to promote nerve cell adhesion. In this study, linear and dendrigraft polylysines were used to coat PGA fibers. The association of large dendrigraft polylysines with PGA fibers was lower and unstable, compared with linear polylysine. However, more hippocampal neurons adhered to PGA fibers coated with large dendrigraft polylysine than linear polylysine. Enhanced cell adhesion was observed, even when the dendrigraft polylysine was coated on the PGA fibers at a low concentration (0.05 μg/mL) or when it was coated in water instead of alkaline buffer. Differences in cell adhesion properties were seen between the dendrigraft polylysine coating and a laminin coating. Thus, large dendrigraft polylysines are a useful coating material for nerve cell scaffolds. © 2016 Wiley Periodicals, Inc. J Biomed Mater Res Part A: 104A: 2744–2750, 2016.