bluuebunny/crossref_metadata_2025_split huggingface dataset:
Joint species movement modeling: how do traits influence movements?
Authors: Ovaskainen Otso , Ramos Danielle Leal , Slade Eleanor M. , Merckx Thomas , Tikhonov Gleb , Pennanen Juho , Pizo Marco Aurélio , Ribeiro Milton Cezar , Morales Juan Manuel 
Published: January 2019

AbstractJoint species distribution modeling has enabled researchers to move from species‐level to community‐level analyses, leading to statistically more efficient and ecologically more informative use of data. Here, we propose joint species movement modeling (JSMM) as an analogous approach that enables inferring both species‐ and community‐level movement parameters from multispecies movement data. The species‐level movement parameters are modeled as a function of species traits and phylogenetic relationships, allowing one to ask how species traits influence movements, and whether phylogenetically related species are similar in their movement behavior. We illustrate the modeling framework with two contrasting case studies: a stochastic redistribution model for direct observations of bird movements and a spatially structured diffusion model for capture–recapture data on moth movements. In both cases, the JSMM identified several traits that explain differences in movement behavior among species, such as movement rate increasing with body size in both birds and moths. We show with simulations that the JSMM approach increases precision of species‐specific parameter estimates by borrowing information from other species that are closely related or have similar traits. The JSMM framework is applicable for many kinds of data, and it facilitates a mechanistic understanding of the causes and consequences of interspecific variation in movement behavior.
A 2D NiFe Bimetallic Metal–Organic Frameworks for Efficient Oxygen Evolution Electrocatalysis
Authors: Hao Yongchao , Liu Qinglin , Zhou Ying , Yuan Zeqian , Fan Yanan , Ke Zhuofeng , Su Cheng‐Yong , Li Guangqin 
Published: January 2019

The oxygen evolution reaction (OER) is the cornerstone for many important energy conversion devices, including metal–air battery and water splitting. Herein, an optimized NiFe‐based metal–organic framework is developed as highly efficient active material for OER. It just needs a low overpotential of 0.31 V to deliver a current density of 10 mA cm−2 with a favorable Tafel slope of 43.7 mV dec−1 in 0.1 m KOH electrolyte for the as‐prepared Ni0.75Fe0.25 BDC, which is superior to RuO2. This efficient catalytic performance is due to the introduction of Fe in Ni‐based MOFs could benefit the kinetics and charge transfer efficiency, resulting in the optimal activity toward OER. Besides, the obtained active material demonstrates good stability, suggesting the great potential value in sustainable electrochemical energy storage and conversion devices.
Rapid Assessment of Monovarietal Portuguese Extra Virgin Olive Oil's (EVOO's) Fatty Acids by Fourier‐Transform Near‐Infrared Spectroscopy (FT‐NIRS)
Authors: Milinovic Jelena , Garcia Raquel , Rato Ana Elisa , Cabrita Maria João 
Published: January 2019

A rapid method for the evaluation of fatty acids (FA) of monovarietal Portuguese extra virgin olive oils (EVOOs) (n = 82) from Alentejo, south‐central region of Portugal, is developed based on Fourier‐transform near‐infrared spectroscopy (FT‐NIRS). The contents of FA‐components (previously determined per conventional gas chromatography) are correlated with FT‐NIRS data (independent variable), by means of full cross‐validation partial least squares regression (CVPLSR). CVPLSR is run using standard normal variate (SNV) data pre‐processing and the nonlinear iterative partial least squares (NIPALS) algorithm. Obtained correlation models are characterized with good statistics: high correlation coefficients (R > 0.85) and low root mean square errors (RMSE < 2.04). Obtained values of the residual predictive deviation (RPD) of CVPLSR‐model, higher than 5.0 (C18:1, C18:2, MUFA, PUFA) confirm the FT‐NIRS as a potential method for rapid quality control of EVOO's FA.Practical Applications: In this work for the first time, fatty acid (FA) profile of monovarietal extra virgin olive oil (EVOO) samples of the greatest olive region in Portugal—Alentejo—is analyzed by Fourier‐transform near‐infrared spectroscopy (FT‐NIRS) and chemometrics. Obtained high‐quality results allow one to recommend this technique from monitoring to quality control analysis of FA (in particular, of representative unsaturated FA), in a great number of olive oil samples, in near‐real time.Quality of olive oil can be assessed by target or non‐target analysis and it is of mandatory importance. Fourier‐transform near‐infrared spectroscopy (FT‐NIRS), combined with chemometrics, for the analysis of the fatty acid profile of varietal olive oils from Alentejo (Portugal) can be a useful technique for quality control. Furthermore, FT‐NIRS is rapid, non‐destructive, and a more environmental friendly technique.
Moisture in Rehydrated Olive Paste Affects Oil Extraction Yield and Phenolic Compound Content and Profile of Extracted Olive Oil
Authors: Cecchi Lorenzo , Breschi Carlotta , Migliorini Marzia , Canuti Valentina , Fia Giovanna , Mulinacci Nadia , Zanoni Bruno 
Published: January 2019

The effect of olive paste moisture on both oil extraction yield and phenolic content and profile from extractable olive oil is studied at the lab‐scale by stressing physical and biochemical phenomena through gradual dilution of freeze‐dried olive paste at a wide range of moisture levels. Olive fruits of Frantoio and Leccio del Corno cultivars are freeze‐dried immediately after harvesting and then milled. Gradual dilution of the obtained freeze‐dried olive pastes allows obtaining olive pastes at moisture 0–60%, from which olive oil samples are immediately extracted. The experiments show that oil extraction yield and phenolic transfer yield increase in extractable oil and reach a maximum (i.e., phenols up to ≈1200 mg kg−1 for Frantoio cultivar) at olive paste moisture values lower than typical values of the olive paste during milling of whole olive fruits. Then, these yields decrease when the olive paste moisture gradually continues to ride above that value. The data also indicate that olive paste moisture plays a crucial role on enzymatic phenomena affecting phenolic profile of the extracted oils and confirms the hypothesis that lignans, absent or linked to other molecules into the fruits, are released or biosynthesized during oil extraction thanks to the co‐presence of enzymes and water.Practical Applications: The results point out that olive paste moisture appears to be as essential in controlling extra virgin olive oil processing as time, temperature and air exposure. Processing procedures along the olive oil chain able to reduce the olive fruit's moisture, may complement the technological innovations for improving oil extraction and phenolic transfer yields. For example, suitable blends of olive batches with different moisture content could be used to control the olive paste moisture and, consequently, the extra virgin olive oil quality. Small mills able to produce express olive oil from olive paste waffles of ≈1 kg, were recently proposed in the market: results of this study also suggest the possibility to dry olives for obtaining dried olive paste waffles suitable to produce small amounts of express olive oils with the selected qualitative characteristics after rehydrating them at the suitable moisture content.Phenolic content in olive oils extracted from lyophilized and rehydrated olive paste is affected by the percentage of water and reach maximum values at moisture content lower that 40%.
Study on Combined Optical and Electrochemical Analysis Using Indium‐tin‐oxide‐coated Optical Fiber Sensor
Authors: Śmietana Mateusz , Niedziałkowski Paweł , Białobrzeska Wioleta , Burnat Dariusz , Sezemsky Petr , Koba Marcin , Stranak Vitezslav , Siuzdak Katarzyna , Ossowski Tadeusz , Bogdanowicz Robert 
Published: January 2019

AbstractIn this work an optical fiber sensor, where a lossy‐mode resonance (LMR) effect was obtained due to indium tin oxide (ITO) thin overlay, has been simultaneously applied as a working electrode in a 3‐electrode cyclic voltammetry electrochemical setup. Since LMR conditions highly depend on refractive index of a surrounding medium, an LMR‐based sensor was applied for optical investigations of electrolyte's properties at the ITO surface. We have found that the optical response of the sensor highly depends on the applied potential and its changes, as well as the properties of the investigated electrolyte, i. e., its composition and presence of a redox probe. Both optical and electrochemical response of the ITO‐LMR sensor to various concentrations of phosphate‐buffered saline (PBS), NaCl and Na2SO4, as well as scan rate were investigated and discussed. We have found that the responses in optical and electrical domains differ significantly and may deliver supplementary information about the investigated analyte.
Fostering and Understanding Iron Detection at the Ultratrace Level by Adsorptive Stripping Voltammetry with Catalytic Enhancement
Authors: Sanvito Francesca , Pacileo Lucia , Monticelli Damiano 
Published: January 2019

AbstractIron detection at the ultratrace level in seawater is at the forefront in chemical oceanography research and analytical methodologies for its determination are actively sought. Voltammetric methods and specifically cathodic stripping voltammetry (CSV) with catalytic enhancement, are particularly fit for this purpose as they avoid any separation and pretreatment step, showing high sensitivity and robustness towards the saline matrix. Here we introduce a simplification in the instrumentation for iron detection by CSV using 2,3‐dihydroxynaphthalene (DHN) as the ligand, atmospheric oxygen as the catalytic enhancer and a small 0.5 mL cell. The simplification involves the use of a standard, non‐specialized voltammetric cup as a holder for the small cell and the introduction of a simple silver wire as a pseudoreference electrode. The latter reduces the risk of sample contamination and is perfectly suited for employment with the small, 0.5 mL volume cell. Extensive optimization was performed in both ultrapure and seawater: a square wave frequency of 10 Hz was adopted, whereas the ligand concentration did not significantly influence the limit of detection (around 10 and 40 pM for ultrapure and seawater, respectively). The latter difference in signal to noise ratio was explained by the kinetics of iron complex reduction. The method was successfully validated by the analysis of a seawater sample with consensus value.
Multistep lattice Boltzmann methods: Theory and applications
Authors: Wilde Dominik , Krämer Andreas , Küllmer Knut , Foysi Holger , Reith Dirk 
Published: January 2019

SummaryThis paper presents a framework for incorporating arbitrary implicit multistep schemes into the lattice Boltzmann method. While the temporal discretization of the lattice Boltzmann equation is usually derived using a second‐order trapezoidal rule, it appears natural to augment the time discretization by using multistep methods. The effect of incorporating multistep methods into the lattice Boltzmann method is studied in terms of accuracy and stability. Numerical tests for the third‐order accurate Adams‐Moulton method and the second‐order backward differentiation formula show that the temporal order of the method can be increased when the stability properties of multistep methods are considered in accordance with the second Dahlquist barrier.
Volatility of volatility is (also) rough
Authors: Da Fonseca José , Zhang Wenjun 
Published: January 2019

AbstractUsing high‐frequency data for major volatility indexes, we compute the volatility of volatility and show that its logarithm follows a fractional Brownian motion with Hurst parameter smaller than 1/2 thereby extending to the volatility asset class the recent findings obtained for the equity index markets. The results confirm that the volatility of volatility is a rough process and it possesses the long memory property. We also show that the correlation between the volatility and the volatility of volatility is positive, consistent with observations in the volatility option market. Lastly, a robustness check using volatility futures confirms the findings.
The Early Cretaceous sedimentary‐tectonic attributes of Lingshan Island Basin, East Shandong Province, China: Constraints from the chemical compositions of detrital heavy minerals
Authors: Gao Biao , Li Zhong 
Published: January 2019

North China Craton experienced significant lithospheric destruction or delamination during the Late Mesozoic, accompanied with the emergence of numerous basins and intensive volcanism. Extensional basins also formed in East Shandong Province. Even though they have been studied for decades, the relationship between basin development and tectonic processes still remains obscure. Recently, a set of Early Cretaceous strata has been found in Lingshan Island. It is characterized by translating from turbidite deposits to terrestrial strata units and ending up with a unique volcaniclastic layer within a relatively short time span. Previous studies have reached an agreement that Lingshan Island strata are formed in a distinct sedimentary background compared with the coeval sedimentary units in Jiaolai Basin. Essential information about basin development and its tectonic setting in this region during Early Cretaceous are preserved in Lingshan Island strata. In this study, it shows the characteristics of heavy mineral assemblage and the characteristics of detrital minerals' chemical component in the two representative samples. Based on these studies, it indicates that Lingshan Island Basin was developed in a transpressional tectonic setting with complex source materials, mainly from Qianliyan Uplift during the period ca. 123–120 Ma. Then, the basin evolved within an extensional setting and was filled with locally derived clastics during 120 to 105 Ma. In addition, the basin evolved during the process of progressive lithospheric thinning and asthenosphere upwelling.
Geochronological framework of the Damoqujia gold deposit, Jiaodong Peninsula, China: Implications for the timing and geologic setting of gold mineralization
Authors: Chai Peng , Zhang Hong‐rui , Hou Zeng‐qian , Zhang Zhi‐yu 
Published: January 2019

The Damoqujia gold deposit in the Jiaodong Peninsula in eastern China contains more than 60 t of gold and is hosted mainly by Mesozoic granitoids. The orebodies comprise pyrite–sericite–silica altered rocks and exhibit Jiaojia‐type mineralization. Although the Damoqujia deposit is an important gold producer in the Zhaoping Fault Zone, the age and tectonic setting of metallogenesis are poorly constrained. Here, we employ precise U–Pb dating of zircon and40Ar/39Ar dating of hydrothermal sericite from the Damoqujia gold deposit to constrain the age of mineralization, which we integrate with previous studies to understand the tectonic setting of the deposit. The major intrusions exposed in the deposit are the Jurassic monzogranite to the west and the Cretaceous granodiorite to the east. Uranium–Pb dating of zircon from the monzogranite, granodiorite, pre‐ore hydrothermally altered lamprophyre dyke, and post‐ore unaltered gabbro–diorite dyke yield concordia ages of 160 ± 1, 130 ± 1, 125 ± 1, and 120 ± 1 Ma, respectively. Based on these geochronological data, we suggest that the age of gold mineralization at Damuqujia occurred at 124–121 Ma. Sericite from the auriferous quartz–pyrite veinlet in the Damoqujia deposit yields a plateau age of 122.8 ± 0.9 Ma, representing the precise age of gold mineralization. Our geochronological data indicate that gold mineralization occurred at 123 Ma and are consistent with the timing of the main gold mineralization event in the Jiaobei Terrane at 125–120 Ma. The geodynamic setting of the study area during this time is generally considered to have been dominated by subduction of the Palaeo‐Pacific Plate beneath the Eurasian continent, with accompanying lithospheric delamination, asthenospheric upwelling, and intense craton destruction. The gold mineralization at Damoqujia was closely associated with continental extension during the Mesozoic.
Early Carboniferous continental margin magmatism in central Qiangtang, Tibet: Implications for the geological evolution of the Paleo‐Tethys Ocean
Authors: Wu Hao , Li Cai , Jiang Qingyuan , Xie Chaoming 
Published: January 2019

We report zircon U–Pb age and Hf isotopic data, and whole‐rock major and trace element data for diverse volcanic rocks from the Riwanchaka region of central Qiangtang, Tibet, including andesite and dacite. Zircon U–Pb dating of andesite yielded a magmatic crystallization age of 358.5 Ma, indicating that the volcanic rocks were erupted in the early Carboniferous. The zircons from the andesite samples have εHf(t) values from +8.27 to +11.5 and single‐stage Hf model ages of 533–670 Ma. All of the samples are calc‐alkaline, enriched in Th, U, and light rare earth elements, and depleted in Nb, Ta, Ti, and P, which are geochemical features typical of arc volcanic rocks. Geochemical and isotopic data indicate that the andesites were generated by partial melting of a mantle wedge, whereas the dacites originated by fractional crystallization of coeval andesitic melt. Compared with typical arc rocks, the Riwanchaka volcanic rocks resemble those from active continental margins. Our new and previously published data enable us to correlate the subduction‐related volcanic arc rocks in the Riwanchaka area to the northward subduction of the Paleo‐Tethys oceanic lithosphere.
Semianalytical solution of axisymmetric flows of Cu‐ and Ag‐water nanofluids between two rotating disks
Authors: Rout B. C. , Mishra S. R. , Nayak B. 
Published: January 2019

AbstractPresent study analyses the axisymmetric flows of copper‐ and silver‐water nanofluids between two rotating disks in the presence of Hartmann number, porous medium, and drag coefficient. Effect of thermal radiation enriches the study as well. In addition to that, the coupling parameter and the Eckert number appear because of the inclusion of viscous dissipation in energy equation. The well‐posed transformations are used to transform the governing equation into ordinary and semianalytical procedure, that is, Adomain Decomposition method is used to solved these coupled ODEs. The surface and contour plots for the velocity profiles of both Cu‐ and Ag‐water nanofluids for the effect of physical parameters such as solid volume fraction, drag coefficient, and Reynolds number are obtained and presented in graphs. Also, the behavior of other pertinent parameters characterizes the flow phenomena on the nanofluid velocity and temperature are presented through graphs. The numerical computation of skin friction and Nusselt number are obtained and presented through tables. For the validity, the present results show a good agreement with earlier studies. The major findings of this study are as follows: an increase in solid volume fraction, a resistive force like drag opposes the velocity of the nanofluid, whereas Eckert number enhances the fluid temperature significantly.
MHD flow of eyring‐powell fluids: HPM and a novel topological technique
Authors: Jafarimoghaddam* Amin 
Published: January 2019

AbstractStretching sheet flow of magnetohydrodynamic (MHD) Eyring‐Powell fluids is studied. The nonlinear ordinary differential equation associated with the similarity case is considered. The focus of the present work is to solve the governing equations using homotopy perturbation method (HPM) and a novel topological technique, which is to be shortly introduced in here. The results from the above techniques are compared with Runge‐Kutta 4th order. Eventually, it is rigorously confirmed that the new proposed technique is more feasible, powerful, and iterative compared with HPM. The technique is indeed simple and promising that may find its place in analytic nonlinear analysis in the very close future.
Limitations of the lumped model for in‐tube laminar forced convection interacting with cross forced convection flows
Authors: Campo Antonio , Macia Yunesky Masip , Arıcı Müslüm 
Published: January 2019

AbstractThe short communication addresses forced convection heat transfer of a viscous fluid flowing in a tube with fully developed laminar velocity and uniform entrance temperature that exchanges heat convection with a surrounding fluid. The idea is to implement the lumped model following the footsteps of the potent lumped model within unsteady heat conduction, instead of the differential model. The computed mean bulk temperatures of the viscous fluid expressed by a simple exponential function agrees well with the baseline numerical mean bulk temperatures when the internal fluid is air, water or crude oil and the external fluid is air for small values of the modified Biot numbers and maximum Reynolds numbers are satisfied.
The role of meteorological and hydrological uncertainties in the performance of optimal water allocation approaches
Authors: Anvari S. , Kim J.H. , Moghaddasi M. 
Published: January 2019

AbstractEfficient reservoir operation and irrigation scheduling are important for the mitigation of water shortages in Iran. For more accuracy, the hydrological and meteorological uncertainties associated with reservoirs and farm levels should be considered. The major contribution of the current paper is to evaluate the uncertainties of evapotranspiration (ET) and inflow, and the issue of constant/variable agricultural demand (CAD/VAD) for optimal irrigation scheduling and reservoir operation. Some optimization approaches were employed and compared during a drought episode in the Zayandeh‐Rud agricultural system. Approaches include: (i) DP‐CAD: dynamic programming (DP), considering CAD and no inflow uncertainty; (ii) SSDP‐CAD: sampling stochastic DP (SSDP) with CAD and inflow uncertainty; (iii) LP‐NLP‐VAD: implementing linear (LP) and non‐linear programming (NLP) modelling for crop types, growing stages, and irrigation systems under deterministic conditions; (iv) SDP‐NLP‐VAD: similar to the third approach, but considers ET uncertainties using a stochastic DP (SDP) rather than an LP model, and uses stochastic crop yield functions in the NLP formulation. DP‐CAD and SDP‐NLP‐VAD were the simplest and most complicated modelling processes, respectively. SDP‐NLP‐VAD was the most time‐consuming to reach a steady state and a global optimal solution. The LP‐NLP‐VAD and SDP‐NLP‐VAD approaches, which account for variability in crop water requirements, conservatively consider water shortages and reservoir release. © 2019 John Wiley & Sons, Ltd.