bluuebunny/crossref_metadata_2025_split huggingface dataset:
Future climate change of stability indices for the Iberian Peninsula
Authors: Viceto C. , Marta‐Almeida M. , Rocha A. 
Published: May 2017

ABSTRACTStability indices evaluate the atmospheric instability which is a basic and precursor ingredient needed for storms to develop. In this study, we evaluated changes of some atmospheric stability indices, namely Convective Available Potential Energy (CAPE), Deep‐Layer Wind Shear (SHR06) and Severe Weather Threat (SWEAT), for the Iberian Peninsula, for a future climate scenario (2081–2100), considering the greenhouse gases emission scenario RCP8.5, relative to a historical period (1986–2005). The Weather Research and Forecasting (WRF) was forced by ERA‐Interim, for validation purposes, and by the Max Planck Institute (MPI) Earth System Model. The novelty of this approach is the study of extreme weather events through the evaluation of conditions favourable to their development instead of directly studying them. The latter approach may be problematic since these phenomena are known to be poorly reproduced by models due to their relatively low resolution and parametrization processes such as clouds and precipitation. Our approach uses stability indices obtained from simulated variables, such as temperature and winds, which are, generally, much better simulated by models. The WRF‐MPI model was validated against WRF‐ERA. Overall, the WRF‐MPI simulates well the three indices considered here, particularly CAPE, when compared to WRF‐ERA. Their spatial patterns were similar, although there is a systematic positive bias in the WRF‐MPI. This is minimized when we evaluate climate change by computing differences of WRF‐MPI simulations between the future climate scenario and the historical period.In the future, it is estimated a significant increase of CAPE and SWEAT intensity, mainly in summer and autumn. It is also expected a decrease of SHR06 intensity in summer and autumn and an increase in the remaining seasons. Therefore, we may anticipate an increase of the probability of occurrence of environments favourable to the development of severe weather, mainly in the Mediterranean, mostly associated to higher CAPE values.
Volatile profile of Greek dried white figs (Ficus carica L.) and investigation of the role of β‐damascenone in aroma formation in fig liquors
Authors: Palassarou Maria , Melliou Eleni , Liouni Maria , Michaelakis Antonios , Balayiannis George , Magiatis Prokopios 
Published: May 2017

AbstractBACKGROUNDDuring an investigation of the chemical profile of Greek figs (Ficus carica L.), several aqueous ethanol extracts (liquors) were prepared from dried Smyrna fig varieties cultivated in the two major fig‐producing geographical areas in Greece: Peloponnese and Evia Island. The distinctive aroma observed among the prepared fig liquors led to the investigation of the odor profile of the different fig cultivars through HS‐SPME coupled with GC/MS analysis, with focus on the factors that affect it before and during the preparation of the respective liquors.RESULTSSignificant variation in volatiles was noticed among all fig cultivars, as also between each fig cultivar pulp and the respective liquor. The observed diversity was a result of chemical reactions taking place in the ethanol matrix during the preparation of the liquor. The ‘key’ odor compound of dried fig aroma was found to be β‐damascenone. Owing to its low detection threshold and minute quantity in fig cultivars, the presence of β‐damascenone was furthermore confirmed through GC/MS/MS and GC/TOF‐MS. β‐Damascenone was identified in variable quantities among fig varieties and their liquors, predominating in Kalamon fig cultivar of Peloponnese region, while its amount was found to be dependent on the postharvest storage time and preservation process of dried figs.CONCLUSIONEach of the studied fig cultivars and liquors showed a unique aroma profile, and the obtained results were used for the preparation of the first dried fig liqueur for potential commercial use with the highest content of β‐damascenone. © 2017 Society of Chemical Industry
Analysis of Brassica oleracea early stage abiotic stress responses reveals tolerance in multiple crop types and for multiple sources of stress
Authors: Beacham Andrew M , Hand Paul , Pink David AC , Monaghan James M 
Published: May 2017

AbstractBACKGROUNDBrassica oleracea includes a number of important crop types such as cabbage, cauliflower, broccoli and kale. Current climate conditions and weather patterns are causing significant losses in these crops, meaning that new cultivars with improved tolerance of one or more abiotic stress types must be sought. In this study, genetically fixed B. oleracea lines belonging to a Diversity Fixed Foundation Set (DFFS) were assayed for their response to seedling stage‐imposed drought, flood, salinity, heat and cold stress.RESULTSSignificant (P ≤ 0.05) variation in stress tolerance response was found for each stress, for each of four measured variables (relative fresh weight, relative dry weight, relative leaf number and relative plant height). Lines tolerant to multiple stresses were found to belong to several different crop types. There was no overall correlation between the responses to the different stresses.CONCLUSIONAbiotic stress tolerance was identified in multiple B. oleracea crop types, with some lines exhibiting resistance to multiple stresses. For each stress, no one crop type appeared significantly more or less tolerant than others. The results are promising for the development of more environmentally robust lines of different B. oleracea crops by identifying tolerant material and highlighting the relationship between responses to different stresses. © 2017 Society of Chemical Industry
Molecularly imprinted magnetic nanoparticles for the micro solid‐phase extraction of thiabendazole from citrus samples
Authors: García‐Fernández Miguel , Díaz‐Álvarez Myriam , Martín‐Esteban Antonio 
Published: May 2017

The preparation of molecularly imprinted core–shell magnetic nanoparticles and their subsequent use in the solid‐phase extraction of thiabendazole from citrus sample extracts is described. Molecularly imprinted core–shell magnetic nanoparticles were prepared by the precipitation copolymerization of the imprinting polymerization mixture on the surface of vinyl‐modified silica magnetic nanoparticles and were characterized by Fourier transform infrared spectroscopy and scanning electron microscopy. The obtained molecularly imprinted core–shell magnetic nanoparticles exhibited a high selectivity for thiabendazole and were easily collected and separated by an external magnetic field without additional centrifugation or filtration steps. Under optimum conditions, a magnetic molecularly imprinted solid‐phase extraction method was developed allowing the extraction of thiabendazole from citrus sample extracts and final determination by high‐performance liquid chromatography with fluorescence detection. The detection limit was 0.2 mg/kg, far lower than the maximum residue limit established within the European Union for thiabendazole in citrus samples.
Long memory behavior in Singapore's tourism market
Authors: Al‐Shboul Mohammad , Anwar Sajid 
Published: May 2017

AbstractUsing nonparametric, semiparametric, and parametric estimation techniques, this paper investigates the presence of long memory in tourist arrivals to Singapore from 11 countries and 4 geographical regions. Empirical analysis of the monthly data from 1978 to 2012 shows that tourist arrivals to Singapore from all countries and regions are subject to long memory behavior. Analysis of the impulse response functions derived from an autoregressive fractionally integrated moving average model shows evidence of persistence in tourist arrivals. Our analysis suggests that visitors consider Singapore as a long‐term tourism destination and like to return to Singapore to relive their experiences.
Fluorescent diagnostics of epithelial neoplasms of different colon parts
Authors: Korneva Yulia S. , Dorosevich Alexander E. , Maryakhina Valeriya S. 
Published: May 2017

ObjectiveChanges in the biochemical composition of the tissue during colon cancer progression usually precede morphological changes registered by light microscopy. These changes are very sensitive and may be used for diagnostics in difficult cases, when it is impossible to obtain sufficient amount of material during colonoscopy. The aim of the study is analysis of spectral characteristics of sporadic adenomas and tumors in different parts of colon for improving tumors diagnostics in disputable cases.DesignThe spectra of fluorescence excitation of histological sections from 78 patients with colon cancer (adenocarcinoma) and colonic adenomas of different localizations were measured.ResultsThe spectra of fluorescence excitation of all types of adenomas as well as adenocarcinoma have two maxima at 260/270 nm and at 330/340 nm. The first maximum is primarily defined by tryptophan and phenylalanin containing peptides, one of them is glucagon. The second maximum is mainly defined by collagen in stroma. Progression of precancer lesions to advanced cancer leads to increase of NADH concentration impacting on the second maximum of spectra. However, spectra of all types of the investigated lesions have peculiarities depending on localization. At odds to the previous data about similarities between distal colon and rectum, our results demonstrate similar spectra for proximal colon and rectum due to some similarities in morphological and, as a consequence, biochemical composition. Tumor can be detected by spectral techniques on histological slides even if the specimen contains very few tumorous cells in stroma.ConclusionBiochemical changes and their similarities for precancer lesions and advanced colon cancer have described. Peculiarities of spectral data for different parts of colon may change the previous opinion about similar mechanisms of cancerogenesis for distal colon and rectum. Moreover, investigation of tissue specimen obtained for histological examination and containing lack of malignant epithelial cells in massive stroma does not interfere with analysis due to specific disproportion of spectrum maxima. Lasers Surg. Med. 49:763–766, 2017. © 2017 Wiley Periodicals, Inc.
Monitoring of Generation and Stability of Droplets in Miniemulsion Polymerizarion Using the Near‐Infrared Spectroscopy
Authors: Santos Leila M. , Amaral Monique J. , Dariva Claudio , Franceschi Elton , Santos Alexandre F. , Boyron Olivier , McKenna Timothy F. L. 
Published: May 2017

AbstractStrategies have been successfully developed for the monitoring of the homo and copolymerization of styrene and butyl acrylate in a miniemulsion system using near‐infrared (NIR) spectroscopy. Different concentrations of costabilizer, stearyl methacrylate, are tested to obtain the best stabilization condition. The spectral data are associated with the properties of the reaction medium, such as particle average diameter, conversion, number, and surface area of particles, through linear regression based on partial least squares. It is observed that the NIR spectrophotometer is sensitive to the dynamics of miniemulsion polymerization reactions, thus confirming the promising aspect of NIR technology for monitoring the latex properties.
image
ALACA: A platform for dynamic alarm collection and alert notification in network management systems
Authors: Solmaz Selçuk Emre , Gedik Buğra , Ferhatosmanoğlu Hakan , Sözüer Selçuk , Zeydan Engin , Etemoğlu Çağrı Özgenç 
Published: May 2017

SummaryMobile network operators run Operations Support Systems that produce vast amounts of alarm events. These events can have different significance levels and domains and also can trigger other ones. Network operators face the challenge to identify the significance and root causes of these system problems in real time and to keep the number of remedial actions at an optimal level, so that customer satisfaction rates can be guaranteed at a reasonable cost. In this paper, we propose a scalable streaming alarm management system, referred to as Alarm Collector and Analyzer, that includes complex event processing and root cause analysis. We describe a rule mining and root cause analysis solution for alarm event correlation and analyses. The solution includes a dynamic index for matching active alarms, an algorithm for generating candidate alarm rules, a sliding window–based approach to save system resources, and a graph‐based solution to identify root causes. Alarm Collector and Analyzer is used in the network operation center of a major mobile telecom provider. It helps operators to enhance the design of their alarm management systems by allowing continuous analysis of data and event streams and predict network behavior with respect to potential failures by using the results of root cause analysis. We present experimental results that provide insights on performance of real‐time alarm data analytics systems.
Highly selective vapochromic fluorescence of polycarbonate films Doped with an ICT‐Based solvatochromic probe
Authors: Ahmad Muzaffer , Platonova Irina , Battisti Antonella , Minei Pierpaolo , Brancato Giuseppe , Pucci Andrea 
Published: May 2017

ABSTRACTThe vapochromic properties of a fluorescent 3‐[2‐(4‐nitrophenyl) ethenyl]‐1‐(2‐ethylhexyl)‐2‐methylindole (NPEMI‐E) characterized by intramolecular charge transfer (ICT) character, dispersed in polycarbonate (PC) films is reported. NPEMI‐E solvatochromism is investigated by means of experimental and computational methods. Fluorescent PC films containing 0.1 wt % of NPEMI‐E are prepared and exposed to saturated atmospheres of different volatile organic compounds (VOCs). NPEMI‐E/PC films show remarkable and reversible vapochromism when exposed to VOCs with high polarity index and favorable interaction with PC matrix such as CHCl3. Only minor variations in the emission wavelength are actually recorded for all other classes of VOCs investigated. The hue parameter is also used for the effective extraction of spectral information from digital color images without the need for wavelength discriminators. Overall, the present results support the use of NPEMI‐E/PC films for the cost‐effective detection of CHCl3 vapors. © 2017 Wiley Periodicals, Inc. J. Polym. Sci., Part B: Polym. Phys. 2017, 55, 1171–1180
Abelian scalar theory at large global charge
Authors: Loukas Orestis 
Published: May 2017

AbstractWe elaborate on Abelian complex scalar models, which are dictated by natural actions (all couplings are of order one), at fixed and large global U(1) charge in an arbitrary number of dimensions. The ground state is coherently constructed by the zero modes and the appearance of a centrifugal potential is quantum mechanically verified. Using the path integral formulation we systematically analyze the quantum fluctuations around in order to derive an effective action for the Goldstone mode, which becomes perturbatively meaningful when the charge is large. In this regime we explicitly show, by computing the first few loop corrections, that the whole construction is stable against quantum effects, in the sense that any higher derivative couplings to Goldstone's tree‐level action are suppressed by appropriate powers of the large charge.
Biological characterization of fenpicoxamid, a new fungicide with utility in cereals and other crops
Authors: Owen W John , Yao Chenglin , Myung Kyung , Kemmitt Greg , Leader Andrew , Meyer Kevin G , Bowling Andrew J , Slanec Thomas , Kramer Vincent J 
Published: May 2017

AbstractBACKGROUNDThe development of novel highly efficacious fungicides that lack cross‐resistance is extremely desirable. Fenpicoxamid (Inatreq™ active) possesses these characteristics and is a member of a novel picolinamide class of fungicides derived from the antifungal natural product UK‐2A.RESULTSFenpicoxamid strongly inhibited in vitro growth of several ascomycete fungi, including Zymoseptoria tritici (EC50, 0.051 mg L−1). Fenpicoxamid is converted by Z. tritici to UK‐2A, a 15‐fold stronger inhibitor of Z. tritici growth (EC50, 0.0033 mg L−1). Strong fungicidal activity of fenpicoxamid against driver cereal diseases was confirmed in greenhouse tests, where activity on Z. tritici and Puccinia triticina matched that of fluxapyroxad. Due to its novel target site (Qi site of the respiratory cyt bc1 complex) for the cereals market, fenpicoxamid is not cross‐resistant to Z. tritici isolates resistant to strobilurin and/or azole fungicides. Across multiple European field trials Z. tritici was strongly controlled (mean, 82%) by 100 g as ha−1 applications of fenpicoxamid, which demonstrated excellent residual activity.CONCLUSIONSThe novel chemistry and biochemical target site of fenpicoxamid as well as its lack of cross‐resistance and strong efficacy against Z. tritici and other pathogens highlight the importance of fenpicoxamid as a new tool for controlling plant pathogenic fungi. © 2017 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
Cover Image, Volume 73, Issue 6
Authors: Farnsworth Derek , Hamby Kelly A , Bolda Mark , Goodhue Rachael E , Williams Jeffrey C , Zalom Frank G 
Published: May 2017

The cover image, by Derek Farnsworth et al., is based on the Research Article Economic analysis of revenue losses and control costs associated with the spotted wing drosophila, Drosophila suzukii (Matsumura), in the California raspberry industry, DOI: 10.1002/ps.4497. Photo Credit: Kathy Keatley Garvey, Dept of Entomology and Nematology, UC Davis.
image
Differences in the progress of the biopesticide revolution between the EU and other major crop‐growing regions
Authors: Balog Adalbert , Hartel Tibor , Loxdale Hugh D , Wilson Kenneth 
Published: May 2017

AbstractThe five‐year value in the compound annual growth rate of the biopesticides sector is predicted to be 16% by 2017 and to produce a global market worth $US 10 billion. Despite this, several impediments occur within the EU that negatively affect biopesticide research and innovation. At present, there are fewer biopesticide‐active substances registered in the EU compared with the United States, India, Brazil and China. The relatively low level of biopesticide research in the EU (6880 ISI papers) versus the United States (18 839), India (9501) and China (7875) relates to the greater complexity of EU‐based biopesticide regulations compared with these other countries. In this light, it is worth noting that tensions may exist between regulators that emphasise the beneficial nature of biopesticides in environmentally friendly crop management and those that adopt a more technologically based approach dependent on a chemical‐pesticide‐driven model. Compared with the other aforementioned countries, far fewer biopesticide products are available in the EU market, mainly as a direct result of the severe regulatory factors present there. The extent to which this trend will continue depends largely on a range of interacting political and/or regulatory decisions that influence environmentally friendly agricultural industries. © 2017 Society of Chemical Industry
Darmstadtium, roentgenium, and copernicium form strong bonds with cyanide
Authors: Demissie Taye B. , Ruud Kenneth 
Published: May 2017

AbstractWe report the structures and properties of the cyanide complexes of three superheavy elements (darmstadtium, roentgenium, and copernicium) studied using two‐ and four‐component relativistic methodologies. The electronic and structural properties of these complexes are compared to the corresponding complexes of platinum, gold, and mercury. The results indicate that these superheavy elements form strong bonds with cyanide. Moreover, the calculated absorption spectra of these superheavy‐element cyanides show similar trends to those of the corresponding heavy‐atom cyanides. The calculated vibrational frequencies of the heavy‐metal cyanides are in good agreement with available experimental results lending support to the quality of our calculated vibrational frequencies for the superheavy‐atom cyanides.
Distributed iterative command governor schemes for interconnected linear systems
Authors: Tedesco Francesco , Casavola Alessandro 
Published: May 2017

SummaryA novel distributed command governor (CG) supervision strategy relying on iterative optimization procedure is presented for multi‐agent interconnected linear systems subject to pointwise‐in‐time set‐membership coordination constraints. Unlike non‐iterative distributed CG schemes, here all agents undertake several optimization iterations and data exchange before arriving to the optimal solution. As a result, these methods are able to achieve Pareto‐optimal solutions not only in steady‐state conditions as the ones based on non‐iterative optimization procedures but also during transients and are not hampered by the presence of undesirable Nash‐equilibria or deadlock situations. The main properties of the method are fully investigated and in particular its optimality, stability, and feasibility properties rigorously proved. A final example is presented where the proposed distributed solution is contrasted with existing centralized and distributed non‐iterative CG solutions. Copyright © 2017 John Wiley & Sons, Ltd.
Incorporating a stochastic data‐driven inflow model for uncertainty quantification of wind turbine performance
Authors: Guo Q. , Ganapathysubramanian B. 
Published: May 2017

AbstractIncorporating uncertainty in wind turbine analysis and design is very necessary based on the fact that inherent variability exists in wind turbine systems. Examples of these uncertainties include fluctuations in material properties across turbine blades, variable structure parameters and stochasticity in the inflow—which is considered to be a critical factor affecting the reliability of wind turbines. However, it has been difficult to construct a low‐dimensional yet accurate representation of the stochastic inflow, which precludes rigorous uncertainty propagation and quantification. Recently, we have developed a comprehensive data‐driven approach [called temporal–spatial decomposition (TSD)] for constructing a stochastic, low‐dimensional model that accurately represents stochastic inflow data. We leverage this approach to construct distributional forecasts of key wind turbine performance indicators. To this end, we integrated the stochastic wind model created by the TSD framework with the wind turbine solver FAST. Uncertainty propagation is performed using an adaptive sparse grid collocation approach. We investigate how the order of approximation of the stochastic model affects the quality of the predicted distribution. We observe that the probability distributions of key indicators are not necessarily Gaussian, which has implications for reliability analysis and for failure prediction. Furthermore, the distributions are sensitive to only the first few eigenmodes of the inflow wind model, which indicates that comprehensive uncertainty quantification can potentially be accomplished with moderate computational effort. The approach suggested in this paper enables seamless integration of uncertainty quantification into current deterministic codes for wind turbine simulation and has implications for the design of the next generation of wind turbines including offshore turbines. Copyright © 2017 John Wiley & Sons, Ltd.
Erratum für: iit-Themenband, DIGITALISIERUNG, Bildung/Technik/Innovation
Authors: Wittpahl Volker 
Published: May 2017

Zusammenfassung
Trotz sorgfältiger Erstellung unserer Bücher lassen sich Fehler nie ganz vermeiden. Daher möchten wir auf Folgendes hinweisen:
Auf S. 59, S. 117 und S. 191 wurde versehentlich ein falscher Hinweistext für Open Access eingefügt; den korrekten Text finden sie nachfolgend, die entsprechenden Originalpassagen wurden entsprechend geändert.