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|1 || The stratigraphic and structural record of the Cretaceous Jianghan Basin, central China: Implications for initial rifting processes and geodynamics
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Publication date: October 2018
Source:Cretaceous Research, Volume 90
Author(s): Lulu Wu, Lianfu Mei, Yunsheng Liu, Douglas A. Paton, Jin Luo, Lu Yu, Deliang Wang, Caizheng Min, Minghua Li, Libin Guo, Hui Wen
The stratigraphic and structural characteristics of the initial phase of continental rift basins have been widely studied. However, the initial rifting geodynamic processes in many rift basins remain poorly understood because the relevant structures and stratigraphic successions tend to be deeply buried in result of continued rift evolution. Using an extensive database of geological (stratigraphic and structural) and geophysical data we investigate when and how rift initiation occurred in the Jianghan Basin. The correlation of the Lower Cretaceous strata across the basin reveals that they were deposited within a series of localized depressions distributed on the basin margin while the Late Cretaceous tectonic stage was characterized by widespread rifting with a maximum stratal thickness of ∼4500 m. The major faults controlling this Late Cretaceous sediment distribution are radially striking, suggesting a distributed, transtensional stress system or multi-directional extension during the Late Cretaceous. It is a common feature that pre-rift basement strata of the major faults in the hanging wall are older than that in the footwall and become progressively older approaching the fault plane, indicating a reactivation of pre-existing unroofed fault-related folds. Together with the regional geodynamic context for the South China Block, we divide the initial rifting processes into two distinct stages. During the Early Cretaceous, the lithosphere beneath the Jianghan Basin got rapidly thinned under the influence of the large-scale roll-back and dehydration of the subducted Pacific slab. Meanwhile, the upwelling asthenosphere and intruded dykes/magma heated and weakened the lithosphere, leading to thermal doming of most of the Jianghan Basin. However, on the basin margin, which was relatively unaffected by the thermal doming event, a set of localized depression sequences were deposited. Due to the Early Cretaceous lithospheric thinning, the lithosphere was thin enough to rift during the Late Cretaceous. Under the diapirism of the continuously upwelling asthenospheric mantle, the pre-existing thrusts with radial strikes simultaneously underwent extensional reactivation, forming a series of normal faults with multiple orientations. By providing the detailed stratigraphic and structural evidence for active rifting model, this study provides new insights into the processes of early rift initiation.
|2 || Recent progress on the development of glutathione (GSH) selective fluorescent and colorimetric probes
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Publication date: 1 July 2018
Source:Coordination Chemistry Reviews, Volume 366
Author(s): Songyi Lee, Jun Li, Xin Zhou, Jun Yin, Juyoung Yoon
Glutathione (GSH) plays a key role in many cellular functions. Abnormal levels of GSH is considered to be sign of many diseases. As a result, various fluorescent imaging probes and/or chemosensors for GSH have been developed. Compared to other analytical methods, fluorescence has unique merits, such as excellent detection limits and sensitivity for use in imaging cells, tissues and small animals. However, colorimetric probes undergo distinct color changes, which in most cases can be detected by using the naked eye. This review of studies aimed at the development of GSH probes is presented in a format that is organized by structural features and chemical reactions of the probes. The topics include probes that are based on nanoparticles or nanocomposites, metal ion displacement and coordination and chemical reactions. The reaction based probes are further classified into probes that undergo cleavage of sulphonamide, sulfonate ester and related functional groups, SeN bond cleavage, aryl substitution reactions, disulfide bond cleavage followed by cyclization, Michael additions, and other processes.
|3 || Chapter Seventeen Brain Imaging Using Hyperpolarized 129Xe Magnetic Resonance Imaging
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Publication date: 2018
Source:Methods in Enzymology, Volume 603
Author(s): Simrun Chahal, Braedan R.J. Prete, Alanna Wade, Francis T. Hane, Mitchell S. Albert
Hyperpolarized (HP) 129Xe magnetic resonance imaging (MRI) is a novel iteration of traditional MRI that relies on detecting the spins of 1H. Since 129Xe is a gaseous signal source, it can be used for lung imaging. Additionally, 129Xe dissolves in the blood stream and can therefore be detectable in the brain parenchyma and vasculature. In this work, we provide detailed information on the protocols that we have developed to image 129Xe within the brains of both rodents and human subjects.
|4 || The Correlation of Regional Lung Ventilation and Gas Transfer to Red Blood Cells: Implications for Functional-Avoidance Radiation Therapy Planning
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Publication date: Available online 14 April 2018
Source:International Journal of Radiation Oncology*Biology*Physics
Author(s): Leith J. Rankine, Ziyi Wang, Bastiaan Driehuys, Lawrence B. Marks, Christopher Kelsey, Shiva K. Das
Background and Purpose: Interest in functionally-guided radiation therapy (RT) planning has been bolstered by the ability to derive lung ventilation maps from 4-Dimensional Computed Tomography. However, this assumes that regional lung ventilation is an accurate surrogate for true regional lung function, i.e., gas exchange between the airspaces and capillary Red Blood Cells (RBCs). This work uses the emerging technology of hyperpolarized (HP)-129Xe Magnetic Resonance Imaging (MRI) to investigate the degree to which lung ventilation and gas exchange are regionally correlated. Material and Methods HP-129Xe MRI studies were performed on 17 IRB-approved human subjects, including 13 healthy volunteers, one emphysema patient, and 3 non-small cell lung cancer (NSCLC) patients imaged prior to and ∼11 weeks following RT. Subjects inhaled 1 liter of HP-129Xe mixture, followed by the acquisition of interleaved ventilation and gas exchange images, from which maps of relative HP-129Xe distribution were obtained in: 1) the lung airspaces; 2) dissolved interstitially in alveolar barrier tissue; and 3) transferred to the capillary RBCs. The relative spatial distributions of HP-129Xe in airspaces (regional ventilation) and RBCs (regional gas transfer) were compared. Further, we investigated the degree to which ventilation and RBC images identified similar functional regions of interest (ROIs) suitable for functionally-guided RT. For the RT patients, both ventilation and RBC functional images were used to calculate differences in the lung dose-function histogram (DFH) and functional effective uniform dose (fEUD). Results The correlation of ventilation and RBC transfer was ρ=0.39±0.15 in healthy volunteers. For the RT patients, this correlation was ρ=0.53±0.02 pre-treatment and ρ=0.39±0.07 post-treatment; for the emphysema patient it was ρ=0.24. Comparing functional ROIs, ventilation and RBC transfer demonstrated poor spatial agreement: DSC=0.50±0.07 and 0.26±0.12 for the highest-33%- and highest-10%-function ROIs in healthy volunteers, and in RT patients (pre-treatment) these were 0.54±0.02 and 0.35±0.06. The average magnitude of the differences between RBC- and ventilation-derived fEUD, fV20Gy, fV10Gy, and f5Gy, were 1.5±1.4 Gy, 4.1%±3.8%, 5.0%±3.8%, and 5.3%±3.9%. Conclusions Ventilation may not be an effective surrogate for true regional lung function for all patients.
Teaser Functionally-guided radiation therapy (RT) planning using 4-Dimensional Computed Tomography (4DCT)-derived ventilation is gaining momentum. However, an important question remains: is regional lung ventilation a good surrogate for end-to-end lung function, i.e., gas transfer to Red Blood Cells (RBCs). We acquired functional image data for N=17 human subjects, using state-of-the-art hyperpolarized (HP)-129Xe Magnetic Resonance Imaging (MRI). We analyzed the correlation of ventilation and RBC transfer, and calculated the similarity of planning optimization structures created from each.
|5 || Weak fault feature extraction of rolling bearings based on globally optimized sparse coding and approximate SVD
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Publication date: October 2018
Source:Mechanical Systems and Signal Processing, Volume 111
Author(s): Fatao Hou, Jin Chen, Guangming Dong
Fault feature extraction is crucial to condition monitoring and fault prognostics. However, when fault is in the initial stage, it is often very weak and submerged in the strong noise. This makes the fault feature very difficult to be extracted. In this paper, we propose a novel method based on sparse representation theory. It is inspired by the traditional K-SVD based de-noising method and can penetrate into the underlying structure of the signal. It learns sparse coefficients and dictionary from the noisy signal itself. The coefficients are globally optimized based on an -regularized least square problem solving method, which can locate the impulse coordinates more accurately compared with orthonormal matching pursuit (OMP) applied in the traditional K-SVD. The dictionary learning is based on an approximation of singular value decomposition (SVD). With the learned dictionary, we can capture the higher-level structure of the signal. Combining the sparse coefficients and the learned dictionary, we can de-noise the signal effectively and extract the incipient weak fault features of rolling bearings. The results of processing both simulated and experimental signals are illustrated and both validate the proposed method. All the experimental data are also processed by SpaEIAD, wavelet shrinkage, and fast kurtogram for comparison.
|6 || Shift-equivalence of k-ary, one-dimensional cellular automata rules
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Publication date: October 2018
Source:Communications in Nonlinear Science and Numerical Simulation, Volume 63
Author(s): Eurico L.P. Ruivo, Pedro P.B. de Oliveira, Fabiola Lobos, Eric Goles
Cellular automata are locally-defined, synchronous, homogeneous, fully discrete dynamical systems. In spite of their typically simple local behaviour, many are capable of showing complex emergent behaviour. When looking at their time-evolution, one may be interested in studying their qualitative dynamical behaviour. One way to group rules that display the same qualitative behaviour is by defining symmetries that map rules to others, the simplest way being by means of permutations in the set of state variables and reflections in their neighbourhood definitions, therefore defining equivalence classes. Here, we introduce the notion of shift-equivalence as another kind of symmetry, now relative to the concept of translation. After defining the notion and showing it indeed defines an equivalence relation, we extend the usual characterisation of dynamical equivalence and use it to partition some specific binary cellular automata rule spaces. Finally, we give a characterisation of the class of shift-equivalent rules in terms of the local transition functions of the cellular automata in the class, by providing an algorithm to compute the members of the class, for any k-ary, one-dimensional rule.
|7 || A novel method to optimize electricity generation from wind energy
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Publication date: October 2018
Source:Renewable Energy, Volume 126
Author(s): E.E. Vogel, G. Saravia, S. Kobe, R. Schumann, R. Schuster
We present and discuss a new technique based on information theory to detect in advance favorable periods of wind activity (positive ramps) for electricity generation. In addition this technique could also help in the analysis of plant operation and management protocols design. Real data from wind power plants in Germany is used; this information is freely available in the internet with reliable registers every 15 min. A simple protocol to mix such wind energy production with electricity coming from conventional sources is proposed as a way to test the proposed algorithm. The eight-year period 2010–2017 is analyzed looking for different behaviors in wind activity. The first five years (2010–2014) are employed to calibrate the method, while the remaining three years (2015–2017) are used to test previous calibration without any further variation in the tuning possibilities described below. Thus, the proposed protocol is tried on under different seasonal wind conditions. Both the algorithm and the general protocol could be adjusted to optimize performances according to regional conditions. In addition, this algorithm can also be used in retrospective studies to adjust productivity to operational conditions.
|8 || Effects of Superparamagnetic Iron Oxide Nanoparticles on the Longitudinal and Transverse Relaxation of Hyperpolarized Xenon Gas
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Publication date: Available online 5 April 2018
Source:Journal of Magnetic Resonance
Author(s): Alex Burant, Michael Antonacci, Drew McCallister, Le Zhang, Rosa Tamara Branca
SuperParamagnetic Iron Oxide Nanoparticles (SPIONs) are often used in magnetic resonance imaging experiments to enhance Magnetic Resonance (MR) sensitivity and specificity. While the effect of SPIONs on the longitudinal and transverse relaxation time of 1H spins has been well characterized, their effect on highly diffusive spins, like those of hyperpolarized gases, has not. For spins diffusing in linear magnetic field gradients, the behavior of the magnetization is characterized by the relative size of three length scales: the diffusion length, the structural length, and the dephasing length. However, for spins diffusing in non-linear gradients, such as those generated by iron oxide nanoparticles, that is no longer the case, particularly if the diffusing spins experience the non-linearity of the gradient. To this end, 3D Monte Carlo simulations are used to simulate the signal decay and the resulting image contrast of hyperpolarized xenon gas near SPIONs. These simulations reveal that signal loss near SPIONs is dominated by transverse relaxation, with little contribution from T1 relaxation, while simulated image contrast and experiments show that diffusion provides no appreciable sensitivity enhancement to SPIONs.
|9 || Ethanol pre-treatment improves vegetable drying and rehydration: Kinetics, mechanisms and impact on viscoelastic properties
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Publication date: September 2018
Source:Journal of Food Engineering, Volume 233
Author(s): Meliza Lindsay Rojas, Pedro E.D. Augusto
Drying is a complex unit operation widely applied in food processing. There is still an increasing interest to enhance the process, as well as the product quality and properties. In this work, ethanol was used to enhance drying of pumpkin, which has been considered as a structurally representative material of plant foods. The effect of ethanol treatment on microstructure, convective drying kinetics (Page model), rehydration kinetics (Peleg model) and viscoelastic properties (generalized Maxwell model) was evaluated. The pre-treatment was conducted by immersing pumpkin cylinders in ethanol before convective drying. The ethanol treatment accelerated both drying and rehydration processes. Microstructure modifications were observed after the ethanol treatment, drying and rehydration. The rehydrated samples (control and ethanol treated) showed different viscoelastic properties compared with those in natura, which presented low stress decay and more residual elasticity. A possible mechanism was proposed. In conclusion, the ethanol improved both drying and rehydration processes, without negatively impacting on the microstructure and viscoelastic properties of pumpkin cylinders.
|10 || Zeolitic imidazole Framework-8 (ZIF-8) fibers by gas-phase conversion of electroblown zinc oxide and aluminum doped zinc oxide fibers
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Publication date: 1 September 2018
Source:Microporous and Mesoporous Materials, Volume 267
Author(s): Jani Holopainen, Mikko J. Heikkilä, Leo D. Salmi, Kaisu Ainassaari, Mikko Ritala
Electroblowing was used to prepare ZnO and aluminum doped zinc oxide (AZO, 1–3 cation-% of Al) fibers. The as-blown fibers were calcined at 500 °C to obtain the target material. The average fiber diameters ranged from 240 ± 60 nm for ZnO fibers to 330 ± 80 nm for AZO with 3% Al. Smaller crystallite size was measured with x-ray diffraction for the Al doped fibers. Electroblowing was found out be an effective method to increase the fiber productivity over electrospinning and other methods reported in literature to prepare AZO fibers as a high production rate of 0.32 g/h was achieved. The ZnO and AZO fibers could be converted to zeolitic imidazole framework-8 [ZIF-8, zinc(2-methylimidazolate)2] by a solvent free thermal treatment in an autoclave under 2-methylimidazole (HmIM) vapor at 150 and 200 °C while preserving the fibrous structure. The conversion process to ZIF-8 occurred faster at higher temperatures and on fibers with smaller crystallite size. Depending on the conversion treatment time either ZnO/ZIF-8 and AZO/ZIF-8 core/shell fibers or ZIF-8 fibers could be obtained. At best the prepared ZIF-8 fibers had a very high BET specific surface area of 1340 m2/g.
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