bluuebunny/crossref_metadata_2025 huggingface dataset:
Selenium embedded in MOF-derived N-doped microporous carbon polyhedrons as a high performance cathode for sodium–selenium batteries
Authors: Li Siqi , Yang Hai , Xu Rui , Jiang Yu , Gong Yue , Gu Lin , Yu Yan
Published: June 2018

ZIF-8 derived N-doped microporous carbon/selenium composites as cathodes for Na–Se batteries deliver a superior long-term cycling performance and rate capability.
Protective effects of thornback ray muscle protein hydrolysate against dyslipidemia, oxidative stress and reduced fertility induced by high cholesterol diet in adult male rats
Authors: Lassoued Imen , Mezghani Mayassa , Jridi Mourad , Rahmouni Fatma , Jamoussi Kamel , Rebai Tarek , El Feki Abdelfattah , Nasri Moncef , Barkia Ahmed
Published: June 2018

Thornback ray muscle hydrolysate was investigated, as well as the undigested muscle, to test their hypolipidemic, antioxidative and fertility effects in rats fed with a high-cholesterol diet.
Advances in mass spectrometry-based metabolomics for investigation of metabolites
Authors: Ren Jun-Ling , Zhang Ai-Hua , Kong Ling , Wang Xi-Jun
Published: June 2018

Metabolomics is the systematic study of all the metabolites present within a biological system, supply functional information and has received extensive attention in the field of life sciences.
Polarization-independent enhancement of graphene plasmons by coupling with the dipole-like near field of the metallic split-mesh structure
Authors: Yu Anqi
Published: June 2018

Enhancing the localized electric field of graphene plasmons with a metallic split-mesh structure by more than an order of magnitude.
Cerium oxide based active catalyst for hydroxylammonium nitrate (HAN) fueled monopropellant thrusters
Authors: Agnihotri Ruchika , Oommen Charlie
Published: June 2018

The developed doped ceria catalyst is a new type of high temperature and poisoning resistant catalyst for decomposition of hydroxylammonium nitrate monopropellant.
CuI nanoparticle-catalyzed synthesis of tetracyclic benzo[e]benzo[4,5]imidazo[1,2-c][1,3]thiazin-6-imine heterocycles by SNAr-type C–S, C–N bond formation from isothiocyanatobenzenes and benzimidazoles
Authors: Guo Xiaolong , Wang Luyao , Hu Jing , Zhang Mengmeng
Published: June 2018

We proposed a practical synthesis of analogs of the anti-HIV drug 3,4-dihydro-2H,6H-pyrimido[1,2-c][1,3]benzothiazin-6-imine via a CuI nanoparticle-catalyzed intramolecular C(sp2)–S coupling reaction.
Efficient access to amides of the carborane carboxylic acid [1-(COOH)–CB11H11]−
Authors: Shen Yunjun , Zheng Kai , Dontha Rakesh , Pan Yani , Liu Jiyong , Duttwyler Simon
Published: June 2018

The preparation of the carborane acid chloride [1-(COCl)–CB11H11]− from the carboxylic acid [1-(COOH)–CB11H11]− and subsequent amide formation are reported.
Selective recovery of phosphorus from acid leach liquor of iron ore by garlic peel adsorbent
Authors: Sun Jiangang , Xiu Yi-Fan , Huang Kai , Yu Jin-Tao , Alam Shafiq , Zhu Hong-Min , Guo Zhan-Cheng
Published: June 2018

Dephosphorisation of iron ore is an important challenge to the sustainable development of the iron-making industry.
Amberlite-15 promoted an unprecedented aza Michael rearrangement for one pot synthesis of dihydroquinazolinone compounds
Authors: Murthy V. Narayana , Nikumbh Satish P. , Tadiparthi Krishnaji , Madhubabu M. V. , Jammula Subba Rao , Rao L. Vaikunta , Raghunadh Akula
Published: June 2018

A new one pot multicomponent annulation strategy for the synthesis of various dihydroquinazolinone compounds has been developed using Amberlite-15 as a catalyst, giving good to moderate yields.
Advances in electro- and sono-microreactors for chemical synthesis
Authors: Hardwick Tomas , Ahmed Nisar
Published: June 2018

The advances in flow microreactor technology for chemical synthesis, with possible application of sonochemistry to deal with solid formations.
A separation-free 3D network ZnO/rGO–rGH hydrogel: adsorption enriched photocatalysis for environmental applications
Authors: Liu Chong , Yue Mengting , Liu Li , Rui Yulan , Cui Wenquan
Published: June 2018

Proposed mechanism for photocatalytic BPA degradation by ZnO/rGO–rGH under ultraviolet light illumination.
Synthesis of 3-(5-amino-1H-1,2,4-triazol-3-yl)propanamides and their tautomerism
Authors: Lim Felicia Phei Lin , Tan Lin Yuing , Tiekink Edward R. T. , Dolzhenko Anton V.
Published: June 2018

Two complementary pathways for the preparation of N-substituted 3-(5-amino-1H-1,2,4-triazol-3-yl)propanamides were proposed and successfully realized in the synthesis of 20 representative examples.
Robust mesoporous bimetallic yolk–shell catalysts for chemical CO2 upgrading via dry reforming of methane
Authors: Price Cameron-Alexander Hurd , Pastor-Pérez Laura , Ramirez Reina Tomas , Liu Jian
Published: June 2018

A new generation highly efficient and stable mesoporous ZnO/Ni@silica yolk–shell catalyst is designed for chemical CO2 recycling, to solve the coking and sintering issues of traditional catalysts.
Shaping excitons in light-harvesting proteins through nanoplasmonics
Authors: Caprasecca Stefano , Corni Stefano , Mennucci Benedetta
Published: June 2018

Through multiscale simulations, it is shown that nanoplasmonic tips can selectively localize the excitation in LH2 light-harvesting complex, narrowing down to probing one single pigment.
Tris(benzoimidazol)amine (L) complexes of pnictogen(iii) and pnictogen(v) cations and assessment of the [LP]3+/[LPF2]3+ redox couple
Authors: Swidan Ala'aeddeen , Suter Riccardo , Macdonald Charles L. B. , Burford Neil
Published: June 2018

A tris((1-ethyl-benzoimidazol-2-yl)methyl)amine (BIMEt3) complex of P3+ is oxidized with XeF2 to access [PF2(BIMEt3)]3+ representing the first structurally characterized example of a phosphorus(v)3+ cation.
(Salen)Mn(iii)-catalyzed chemoselective acylazidation of olefins
Authors: Zhang Liang , Liu Shuya , Zhao Zhiguo , Su Hongmei , Hao Jingcheng , Wang Yao
Published: June 2018

A (salen)Mn(iii)-catalyzed chemoselective acylazidation of olefins was developed based on strategic application of the distinct reactivity of oxomanganese(v) species.
Facile synthesis of polycyclic metallaarynes
Authors: Ruan Wenqing , Leung Tsz-Fai , Shi Chuan , Lee Ka Ho , Sung Herman H. Y. , Williams Ian D. , Lin Zhenyang , Jia Guochen
Published: June 2018

The preparation and structural characterization of the first examples of a β-metallanaphthalyne and tricyclic metallaarynes are described.
Reversibly tuning hydrogel stiffness through photocontrolled dynamic covalent crosslinks
Authors: Accardo Joseph V. , Kalow Julia A.
Published: June 2018

By controlling the stability of dynamic covalent crosslinks with adjacent photoswitches, the stiffness of an adaptable hydrogel is tuned reversibly.
Pure CO2 electrolysis over an Ni/YSZ cathode in a solid oxide electrolysis cell
Authors: Song Yuefeng , Zhou Zhiwen , Zhang Xiaomin , Zhou Yingjie , Gong Huimin , Lv Houfu , Liu Qingxue , Wang Guoxiong , Bao Xinhe
Published: June 2018

Electrolysis voltage efficiently diminishes the oxidation of an Ni/YSZ cathode during pure CO2 electrolysis in a solid oxide electrolysis cell.
Anchoring and space-confinement effects to form ultrafine Ru nanoclusters for efficient hydrogen generation
Authors: Yang Jian , Guo Heng , Chen Shulin , Li Yulan , Cai Chao , Gao Peng , Wang Liping , Zhang Yanning , Sun Rujie , Niu Xiaobin , Wang Zhiming
Published: June 2018

Developing highly efficient, durable, and low-cost catalysts for the hydrogen evolution reaction (HER) is an eternal pursuit for scientists to replace Pt-based catalysts.
Pyrazine-incorporating panchromatic sensitizers for dye sensitized solar cells under one sun and dim light
Authors: Desta Mulu Berhe , Vinh Nguyễn Sơn , Pavan Kumar CH. , Chaurasia Sumit , Wu Wei-Ti , Lin Jiann T. , Wei Tzu-Chien , Wei-Guang Diau Eric
Published: June 2018

DSSCs fabricated from benzo[3,4-b]pyrazine-based metal-free sensitizers have efficiencies of 9.03% under 1 sun and 18.95% under 300 lux irradiance.
Nanosheet-based magadiite: a controllable two-dimensional trap for selective capture of heavy metals
Authors: Ding He , Chen Yang , Fu Tianyi , Bai Peng , Guo Xianghai
Published: June 2018

Nanosheet-based magadiites are promising adsorbents with controlled interlayer space and a well-defined 2D structure, which make them new candidates for heavy metal removal.
Novel insight into the structure and properties of lead-free dielectric Sr3TiNb4O15
Authors: Whittle Thomas A. , Brant William R. , Withers Ray L. , Liu Yun , Howard Christopher J. , Schmid Siegbert
Published: June 2018

The octahedral tilting approach used in this study will be useful for many more tungsten-bronze-type structures with similar pseudo-symmetry problems.
Facile and highly efficient fabrication of robust Ag nanowire–elastomer composite electrodes with tailored electrical properties
Authors: Yang Ming , Kim Sang Woo , Zhang Shuye , Park Dae Young , Lee Chang-Woo , Ko Yong-Ho , Yang Haifeng , Xiao Yong , Chen Gang , Li Mingyu
Published: June 2018

3-D mask with a vacuum filtration system allows efficient fabrication of complex Ag nanowire patterns with clear edges.
Enhanced electrical properties of antimony doped tin oxide thin films deposited via aerosol assisted chemical vapour deposition
Authors: Ponja Sapna D. , Williamson Benjamin A. D. , Sathasivam Sanjayan , Scanlon David O. , Parkin Ivan P. , Carmalt Claire J.
Published: June 2018

A scalable CVD route to SnO2 : Sb thin films that show resistivity as low as 4.7 × 10−4 Ω cm and a corresponding sheet resistance of 9 Ω sq−1. Theoritical insight into the defect chemistry is provided by ab initio hybrid density functional theory.
Resveratrol-Linoleate protects from exacerbated endothelial permeability via a drastic inhibition of the MMP-9 activity
Authors: Shamseddin Aly , Crauste Céline , Durand Erwan , Villeneuve Pierre , Dubois Grégor , Pavlickova Teresa , Durand Thiery , Vercauteren Joseph , Veas Francisco
Published: June 2018

Gelatinolytic matrix metalloproteinases (MMP-2, -9) play a critical role not only in mammals physiology but also during inflammation and healing processes. The natural stilbenoid, resveratrol (RES), exhibits potent antioxidant effects, in a hormetic mode of action, and is known to inhibit MMP-9. However, RES administration exhibits major issues, including poor bioavailability and water solubility, hampering its potential therapeutic effect in vivo. In the present study, we synthesized and evaluated five novel RES–lipid conjugates to increase their cell membrane penetration and improve their bioavailability. The best in vitro MMP-9 inhibitory activity of RES–lipids conjugates was observed with RES-linoleic acid (LA) (5 µM), when dissolved in a natural deep eutectic solvent (NADES), composed of an equimolar content of 1,2-propanediol:choline chloride (ChCl):water. The inhibition of MMP-9 expression by RES-LA in activated THP-1 monocytes, was, at least due to the deactivation of ERK1/2 and JNK1/2 MAP kinase signaling pathways. Moreover, RES-LA exhibited a strong effect protecting the TNF-α-induced exacerbated permeability in an HUVEC in vitro monolayer (by 81%) via the integrity protection of intercellular junction proteins from the MMP-9 activity. This effect was confirmed by using several complementary approaches including, the real-time monitoring of trans-endothelial electric resistance (TEER), the Transwell HUVEC permeability level, the microscopic examination of the platelet endothelial cell adhesion molecule-1 (CD31/PECAM-1) integrity as well as the fluorescence in intercellular spaces. Consequently, following this strong in vitro proof-of-concept, there is a need to test this promising RES–lipid derivative compound to control the pathological endothelial permeability in vivo.
Intrinsic Laryngeal Muscle Response to a Public Speech Preparation Stressor
Authors: Helou Leah B. , Rosen Clark A. , Wang Wei , Verdolini Abbott Katherine
Published: June 2018

Purpose

Research suggests that abnormal levels of intrinsic laryngeal muscle (ILM) contraction is a potential causal factor in stress-induced voice disorders. This study seeks to characterize the ILM stress response in a cohort of vocally healthy women.

Method

The authors used an unblinded, nonrandomized, repeated-measures design. Forty vocally healthy female adults were subjected to a stressful speech preparation task. Measurements of heart rate, blood pressure, trapezius muscle (positive control) activation, and tibialis muscle (negative control) activation were obtained from 37 participants before and during stressor exposure, in a nonvoice and nonspeaking task paradigm, to confirm physiological stress response compared to baseline. Fine wire electromyography of the ILMs (posterior cricoarytenoid, thyroarytenoid/lateral cricoarytenoid muscle complex, and cricothyroid) was performed simultaneously so that the activity of these muscles could be measured prior to and during stressor exposure.

Results

The protocol successfully elicited the typical and expected physiological stress responses. Findings supported the hypothesis that, in some individuals, the ILMs significantly increase in activity during stress reactions compared to baseline, as do the control muscles.

Conclusions

This study characterizes ILM responses to psychological stress in vocally healthy participants. Some of the female adults in this study appeared to be “laryngeal stress responders,” as evidenced by increased activity of the ILMs during a silent (i.e., nonvocal, nonspeech) speech preparation task that they considered to be stressful.
Phase noise as power characteristic of individual appliance for non‐intrusive load monitoring
Authors: Lee D.
Published: June 2018

Phase noise, a unique characteristic of electrical appliances, for non‐intrusive load monitoring (NILM) is proposed. NILM is a technique, which can distinguish the power consumption of an individual electrical appliance, without requiring the installation of sensors on the appliance, reducing the number of sensors required in an energy management system. It utilises the previously‐recorded power supply characteristics of individual appliances and measures the changes in the bus voltage or current, which provide power supply to several appliances, thereby distinguishing the operational appliances without direct measurement. Considering electrical appliances that can be commonly found in a laboratory, such as an electric drill, soldering iron, and light bulb, the authors found that, when each was turned on, the current at an offset of 5 Hz from the centre frequency of 60 Hz was 61.4, 18.8, and 6.2 mA for each appliance, respectively. As each appliance was turned on in the sequence, the bus current providing electrical energy to all three appliances was measured to be 60.4, 11.1, and 5.7 mA, respectively. Thus, it was experimentally confirmed that the current at frequencies near the centre frequency, i.e. the phase noise, can be used for NILM.
Parameterised equivalent circuit model of frequency‐dependent resistance and inductance for on‐chip coplanar waveguides up to 110 GHz
Authors: Zheng L. , Weisshaar A.
Published: June 2018

A parameterised wideband equivalent circuit model capturing the per‐unit‐length (p.u.l.) frequency‐dependent resistance and inductance of on‐chip coplanar waveguides (CPWs) is presented. The parameterised model for on‐chip CPWs is suitable for various process nodes and over a large geometry range with signal line width‐to‐thickness ratios between 1 and 15 and spacing‐to‐thickness ratios between 0.25 and 15. The model has been validated by both EM simulation and measurements of fabricated test chips. The model is accurate to within 10% over the normalised geometry range. The model can easily be implemented into standard circuit simulators.
Joint optimisation of ground, feed shapes with material distributive topology of patch in UWB antennas using improved binary particle swarm optimisation
Authors: Amma Palanisamy Thilaga Shri Chandra , Murugappan Meenakshi
Published: June 2018

A joint optimisation of the ground plane and feed structure shapes, and the topology of radiating patch in ultra wideband (UWB) antennas are proposed. The material distributive topology of the radiating patch is configured with symmetric and asymmetric topologies. The ground plane and feed structure of antenna are optimised from a set of discrete feasible combinations. The ground plane, feed structure and radiating patch topology are identified based on the particle's position vector of the improved binary particle swarm optimisation algorithm. Based on this vector, the antenna is simulated and tested by using the MATLAB–Computer Simulation Technology (CST) co‐simulation method. The fitness value of the each particle is calculated from the return loss value evaluated by the CST and the particle's velocity and position vectors are accordingly updated. Compared to asymmetric topology, the symmetric topology antenna converges faster because of reduced search space dimension. The symmetric topology UWB antenna is further miniaturised to occupy an area of from based on the observation of surface current distribution. The measurement results of the fabricated prototypes confirm that all the three antennas yield good impedance matching over the UWB band with better pulse preserving capability.
Revenue maximisation and storage utilisation for the Ocean Grazer wave energy converter: a sensitivity analysis
Authors: Barradas‐Berglind Jose de Jesus , Dijkstra Tom , Wei Yanji , van Rooij Marijn , Meijer Harmen , Prins Wout A. , Vakis Antonis I. , Jayawardhana Bayu
Published: June 2018

This study presents a revenue maximisation strategy for market integration of a novel wave energy converter (WEC), part of the Ocean Grazer platform. In particular, the authors evaluate and validate the aforementioned revenue maximisation model predictive control (MPC) strategy through extensive simulations and by checking the underlying assumptions of the strategy implementation. Accordingly, an annual simulation of the MPC strategy is shown, which illustrates seasonality effects; furthermore, a benchmark against a heuristic strategy is presented, followed by analyses of the parameter sensitivity and the assumptions on the control loop information that the MPC receives. These efforts shed some light on the impact of variations of the considered parameters and variables on the total revenue and provide insights to optimally scale the WEC. Lastly, the challenges associated with the deployment of such a strategy are addressed, followed by concluding remarks.
Adaptive hybrid method for low‐angle target tracking in multipath
Authors: Darvishi Hossein , Sebt Mohammad Ali
Published: June 2018

Tracking low‐angle targets is a serious problem in radar systems because of the multipath phenomenon. When a signal is reflected from the ground surface, due to the low altitude of the target, it enters the radar main beam and seriously reduces its performance. The authors propose a novel adaptive hybrid method based on the complex angle (CA) method and the array monopulse system. They present a way to reduce the ambiguity of the CA method, and then, eliminate the multipath effect by using beamforming and provide an accurate estimate of the elevation angle. The simulation results show the performance of this method in tracking low‐angle targets.
The McDonald Observatory search for pulsating sdA stars
Authors: Bell K. J. , Pelisoli I. , Kepler S. O. , Brown W. R. , Winget D. E. , Winget K. I. , Vanderbosch Z. , Castanheira B. G. , Hermes J. J. , Montgomery M. H. , Koester D.
Published: June 2018

Context. The nature of the recently identified “sdA” spectroscopic class of stars is not well understood. The thousands of known sdAs have H-dominated spectra, spectroscopic surface gravity values between main sequence stars and isolated white dwarfs, and effective temperatures below the lower limit for He-burning subdwarfs. Most are likely products of binary stellar evolution, whether extremely low-mass white dwarfs and their precursors or blue stragglers in the halo.

Aims. Stellar eigenfrequencies revealed through time series photometry of pulsating stars sensitively probe stellar structural properties. The properties of pulsations exhibited by sdA stars would contribute substantially to our developing understanding of this class.

Methods. We extend our photometric campaign to discover pulsating extremely low-mass white dwarfs from the McDonald Observatory to target sdA stars classified from SDSS spectra. We also obtain follow-up time series spectroscopy to search for binary signatures from four new pulsators.

Results. Out of 23 sdA stars observed, we clearly detect stellar pulsations in 7. Dominant pulsation periods range from 4.6 min to 12.3 h, with most on timescales of approximately one hour. We argue specific classifications for some of the new variables, identifying both compact and likely main sequence dwarf pulsators, along with a candidate low-mass RR Lyrae star.

Conclusions. With dominant pulsation periods spanning orders of magnitude, the pulsational evidence supports the emerging narrative that the sdA class consists of multiple stellar populations. Since multiple types of sdA exhibit stellar pulsations, follow-up asteroseismic analysis can be used to probe the precise evolutionary natures and stellar structures of these individual subpopulations.
Model Construction of Early Warning for Frequently Outage Complaint Based on Data Mining
Authors: Fu Jun , Xu Xin , Sun Zhijie , Wang Li , Gong Dongmei , Zhang Lingyu
Published: June 2018

At present, frequent outages have become the major source of power customer complaints and, seriously affect improvement of customer service satisfaction. The current control of frequent outages, complaints has been in a passive state of compensation, which can only get half the result with twice the, effort and has caused adverse perception of customers. In response to this problem, this article takes the, initiative to prevent as a starting point, through studying rules of complaints business for the frequent power outage, constructs the early warning model of the frequent outages complaints, which takes statistics, of outages as the data mining object and uses Chinese word segmentation matching algorithm as data, mining technology and displays through network map technology, and eventually realizes a frequent power, outage scientific and accurate complaints warning. It provides an accurate reference for properly arrange of, troubleshooting and maintenance of the power supply enterprises and line reconstruction plans, offers, technical support for the forward service gateway and lays a solid foundation for effectively reducing the
volume of complaints.
Prediction of Gas Dissolved in Power Transformer Oil by Non-equidistant Multivariable Grey Model
Authors: Na Sun , Ling Tao Liang
Published: June 2018

Power transformer is an essential component in the power systems. The concentration of fault characteristic gases dissolved transformer oil is essential to the insulation fault diagnosis. The concentration prediction of the gases is an important supplement for periodical testing. A NMGM(1, 5)model using Nou-equidistance Multivariable grey theory for the five characteristic gases dissolved in transformer oil, i.e. hydrogen, methane, ethane, ethylene, acetylene, was constructed. In the built model, the interaction among these gases was comprehensively considered and the disadvantage that only one index extracted from the signal or each index that was dealt with separately was made up, meanwhile, the scope of application is enlarged. Two actual prediction cases were analyzed and the results were compared with those obtained by Non-equidistant GM(1, l)model. The comparison result indicates the validity and efficiency of the proposed model.
Finite Element Analysis of Deformation and Stress Situation of Triangular Truss Under Different Loads
Authors: Zeng WL , Cong Q , Liu Y
Published: June 2018

In this paper, the two methods for solving finite element problem, theoretical calculation method and ANSYS simulation analysis method, were used to study deformation and stress situation of each node of triangular truss under different distribution loads. The results of theoretical calculation were compared with those of ANSYS simulation, which showed that the counter-acting forces of each node were exactly the same. For the calculation results of the equivalent stiffness constants of each unit could not be accurate, values of each node deformation calculated by theoretical calculation could be error, but the maximum error rate was no more than 3.6%. By the comparison results, conclusion could be made that the results of ANSYS simulation are more intuitive and image, the values are more accurate and reliable, comparing with those of theoretical calculation, the influence of accuracy of equivalent stiffness constant is much more smaller.
Comparison of Integrated Optical Phase Shifters Designed in Different Regime
Authors: Chen Hao , Meng Haoran , Liu Xinyue , Ding Junke , Jiang Jianguang , Chen Gang , Hao Yinlei
Published: June 2018

A comparative study, in aspects of both wavelength dependence and fabrication tolerance, is carried out between silica-based phase shifters designed in two different regime, namely length difference regime and refractive index difference regime. Results show that in the wavelength range of 1500-1600 nm, phase shifter designed in refractive index difference regime has a working wavelength range 2.8~3.1 times wide as that designed in length difference regime; while in the aspect of fabrication tolerance, phase designed in length difference regime is advantageous, with respect to waveguide core dimension error, and waveguide core refractive index error as well.
Energy optimization path planning for battery-powered agricultural rover
Authors: Niu Cong , Yan Xiutian
Published: June 2018

Battery life is critical for battery-powered agricultural rovers, so techniques such as optimized moving path planning are of great significance in this field. Finding an optimized path other than straight-line path could save energy and prolong the battery life. Compared with traditional straight-line path planning, an energy-optimized path planning is realized based on artificial potential field algorithm. In simulation studies, most of the uphill is avoided and at least 10.15 % of energy is saved with the optimized path planning. We believe this energy optimization path planning algorithm is a feasible solution to extend the battery life for field operated agricultural rover.
The Design of High Speed Acquisition and Storage System Based on Labview
Authors: Lew Hwangfei , Lv Danjv , Zhang Yan , Leed Min , Qin Zhiyi , Zhao Xuefei
Published: June 2018

The design of high speed data acquisition and storage system is based on Labview. It can not only achieve high accuracy and high data rate but also use the software and hardware synchronization trigger to complete the multi-channel continuous real-time monitoring of the acquisition and storage periodic signal. Which is similar to the function of the oscilloscope. This system is based on high speed data acquisition card of NI company and Labview 2012 for PC software development platform. Data acquisition card is used to finish data acquisition of periodic signal through the serial port. It also collect data upload to upper computer. Upper computer collect data for storage display and analysis to realize the real-time monitor of multi-channel analog. The design of the sampling channel is 2, the sampling rate up to 200M/s, the sampling precision is 12 bits, and the sampling depth is 2000. Lots of verification prove that the design has good compatibility, performance and stability of the collection. Data error is negligible by analyzing the data collected. More importantly, the design can be as far as possible to restore the actual signal source data without distortion. This paper provides a portable design for high speed data acquisition, which can be widely applied in the engineering of modern test and measurement technology.
A Robust DOA Estimation Based on Sigmoid Transform in Alpha Stable Noise Environment
Authors: Li Li , He Mingyan
Published: June 2018

To suppress alpha-stable noise and co-channel interference, this paper defines a novel cyclic correlation function, and proposes a new MUSIC algorithm based on sigmoid cyclic correlation function. Furthermore, the proposed algorithm (SCC-MUSIC) is applied to estimate direction of arrival (DOA) in alpha stable distribution noise. Simulation results demonstrate that the proposed SCC-MUSIC can get a better performance than several existing algorithms especially in the highly impulsive noise environments.
The Spatially Separated Polarization Sensitive FDA-MIMO Radar: A New Antenna Structure for Unambiguous Parameter Estimation
Authors: Li Binbin , Bai Weixiong , Zhang Qin , Zheng Guimei , Zhang Mingliang , Wan Pengcheng
Published: June 2018

Joint DOA-range-polarization estimation with a novel radar system, i.e., spatially separated polarization sensitive random frequency diverse array based on multiple-input multiple-output (SS-PSRFDA-MIMO) radar, is discussed. The proposed array can obtain not only unambiguous range estimation but also polarization parameter estimation. Firstly, the signal model of SS-PSRFDA-MIMO radar is constructed. Secondly, dimension reduction multiple signal classification (DR-MUSIC) algorithm is extended to parameter estimation with the proposed array. Last, simulations demonstrate the proposed algorithm is effective to estimate parameter, and the performance of proposed array is better than that of polarization sensitive frequency diverse array based on MIMO radar. It is worth mentioning that the Cramér–Rao lower bound (CRLB) of range estimation with the proposed array is much lower than that of PSFDA-MIMO radar.
Inspection method of images' overlap of UAV photogrammetry based on features matching
Authors: Li Jun , Huang Dengshan , Yang Peng
Published: June 2018

The overlapping degree of UAV aerial imagery is an important parameter in judging the quality of aerial photography. This paper applies the technology of image feature matching to realize the automatic inspection of low-altitude UAV aerial image overlap. It utilizes the feature point matching and homography transformation model, which can accurately identify the overlapping area of the image and overcome the defect caused by the large rotation angle of UAV's images and irregular overlap area. We use various feature-extracting algorithms to verify the practicability of this method. It shows that it can calculate the overlapping degree of adjacent aerial images efficiently and accurately, which improve the production efficiency of aerial photogrammetry.
Improving the Performance of Power Transmission via Ultra High Voltage Direct Current (UHVDC)
Authors: Li Yongbei
Published: June 2018

To meet people’s increasing demand for power, the power network system is developing. And the concept, essence and an energy interactive network plan of “Smart Grid” is proposed. However, some technical issues concerned in power network system appear. It is the key to improve the efficiency of transmission in the grid network. And the feasibility of applying Ultra High Voltage Direct Current (UHVDC) transmission to improve efficiency reliably is adequately expounded and proved. There are many countries using this method, especially China. Direct Current (DC) transmission is an important technology for high voltage, large capacity, and long distance transmission. Development and characteristics of UHVDC transmission and its development prospects in China are also introduced in this paper.
SEIRS model for virus spreading with time delay
Authors: Lu Shi-wei , Wang Gang , Chen Tong-rui , Ma Run-nian
Published: June 2018

In view of the latent characteristic of virus, the escaped state is considered in the model of virus spreading and employed to describe the state of nodes that are infected but not activated. A novelSusceptible–Escaped–Infected–Removed–Susceptible (SEIRS) model with delay is presented for virus spreading based on the escaped mechanism. In the proposed model, time delay, as an important factor, is considered in the infection stage, as well as the node degree of network. Thereafter, system dynamics equations are derived for the model, and the stable condition of the system is investigated via the criterion of Routh-Hurwitz stability. Finally, simulations are demonstrated to illustrate the proposedmodel and its performance.
A Power-Efficient FFT Preprocessing Algorithm Utilizing Analysis Filter Bank
Authors: chen Chengwu , Wang Yinan , Liu Xiaoguang , Diao Jietao
Published: June 2018

With the development of high-speed sampling and real-time signal processing technologies, the power consumption for implementing large-point FFT operations is drastically increasing in application systems. This paper presents an FFT preprocessing algorithm based on a multi-channel analysis filter bank, which is implemented by an efficient multi-phase parallel structure. The operating frequency is reduced to fs/M for each constituent channel, while the spectrum width and the resolution are maintained. Meanwhile, the valid frequency point can be correctly identified and the resulting error is controlled below -30dB. Compared with the two-dimensional FFT algorithm, the power consumption accelerating factor can reach 2.4~4 by utilizing 4-channel analysis filter bank.
Research on Financial Early-warning based on GIHS Improved BP_AdaBoost Algorithm
Authors: Shen Gui-fang , Zhang Yi-Wen
Published: June 2018

To improve the accuracy of the financial early warning of the company, aiming at defects of slow learning speed, trapped in local solution and inaccurate operating result of the traditional BP neural network with random initial weights and thresholds, a parallel ensemble learning algorithm based on improved harmony search algorithm using good point set (GIHS) optimize the BP_Adaboost is proposed. Firstly, the good-point set is used to construct a more high quality initial harmony library, and it adjusts the parameters dynamically during the search process and generates several solutions in each iteration so as to make full use of information of harmony memory to improve the global search ability and convergence speed of algorithm. Secondly, ten financial indicators are chosen as the inputs of BP neural network value, and GIHS algorithm and BP neural network are combined to construct the parallel ensemble learning algorithm to optimize BP neural network initial weights value and output threshold value. Finally, many of these weak classifier is composed as strong classifier through the AdaBoost algorithm. The improved algorithm is validated in the company's financial early warning. Simulation results show that the performance of GIHS algorithm is better than the basic HS and IHS algorithm, and the GIHS-BP_AdaBoost classifier has higher classification and prediction accuracy.
A Multi-exposure Image Fusion Method with Detail Preservation
Authors: Shouhong Chen , Shuang Zhao , Jun Ma , Xinyu Liu , Xingna Hou
Published: June 2018

In view of the problems of uneven exposure in the image acquisition and the serious loss of details in the traditional multi-exposure image fusion algorithm, a method of image fusion with details preservation is proposed. A weighted approach to multi-exposure image fusion is used, taking into account the features such as local contrast, exposure brightness, and color information to better preserve detail. For the purpose of eliminating the noise and interference, using the recursive filter to filter. Compared with other algorithms, the proposed algorithm can retain the rich detail information to meet the quality requirements of spot welding image fusion and has certain application value.
Image Retrieval Algorithm Based on Minimal Loss Hashing
Authors: Wang Biao , Qian Ying
Published: June 2018

In order to solve the inefficiency and time-consuming of traditional image retrieval algorithms, an image retrieval algorithm based on minimal loss hashing is proposed. Firstly, the original high dimensional data is reduced by principal component analysis and Laplacian Eigenmaps. Secondly, minimize dimensionality reduction and quantization coding loss function, then we could obtain the hash function by iterative optimization parameters. Finally, the original data matrix is converted into a hash coding matrix, and the sample similarity is obtained by calculating the Hamming distance between samples. The experimental results on four public datasets show that the proposed method improves the retrieval performance.
Research on Digital Power Grid Information Integration Solution
Authors: Wang Jiye , Cui Hengzhi , Hao Hanyong , Yao Hongyu , Bao Lishan
Published: June 2018

Information integration is an important part of the digital grid architecture. The purpose is to solve the information interaction obstacles between heterogeneous systems on the basis of making full use of the old system. This paper analyzes the development stage of digital power grid information integration from the perspective of information integration, and points out that the information integration of current digital power grid is mainly data-oriented integration. Based on the characteristics of digital power grid information integration, this paper puts forward a digital power grid information Integration solution combining horizontal information integration and vertical information integration, designs the overall architecture of digital power grid information integration, and elaborates the horizontal integration and vertical integration respectively.
Quantile Regression Learning with Coefficient Dependent lq-Regularizer
Authors: Sun Pengju , Li Meng , Sun Hongwei
Published: June 2018

In this paper, We focus on conditional quantile regression learning algorithms based on the pinball loss and lq-regularizer with 1≤q≤2. Our main goal is to study the consistency of this kind of regularized quantile regression learning. With concentration inequality and operator decomposition techniques, we obtained satisfied error bounds and convergence rates.
Comprehension and Thinking of Complex Network Construction and Clustering Based on Neural Network Algorithm
Authors: Shen Bing
Published: June 2018

With the development of computer technology and the enhancement of people's cognition of the world, more and more scholars have been focusing on the research of complex networks. At the same time, the emerging machine learning neural network algorithm has become a powerful tool for various researchers. This paper mainly discusses the construction and clustering of complex networks based on neural network algorithm. Firstly, the development history and main application fields of neural network are introduced. Then, several common methods of complex network clustering are summarized, and then the limitations of these clustering methods are discussed. At last, it proposes to improve the construction of neural network through the concept of small world in complex network and enhance the effect of complex network clustering by the characteristics of neural network algorithm, including the accuracy, reliability, stability, speed, etc.
A Method of Location Privacy Protection in Road Network Environment
Authors: Wen Jianjun , Li Zhao
Published: June 2018

With the widespread application of location-based services, users 'privacy concerns have become the focus of users' attention. Based on the k-anonymity method and the SpaceTwist algorithm, this paper proposes a method of incremental inquiry user privacy protection. The method preliminarily anonymizes the user's location information and points of interest on the client side, On the anonymous server side, combining the road network environment with the latitude and longitude grid generates the minimum anonymous area of random loop, instead of the user initiating incremental inquiry to the location service provider, Anonymous zones ensure k-anonymity for mobile users and road information to protect user privacy. Security and experimental analysis show that this scheme can improve the effectiveness of user query service while meeting the privacy requirements of users.
Harmonic Coupling Analysis and Suppression Strategy of Grid-connected Photovoltaic Inverter
Authors: Tong Tao , Zhan Xinyan , Gao Liang , Zhang Jiajun
Published: June 2018

For the complex harmonic coupling problem caused by the parallel connection of grid-connected photovoltaic inverters to the grid, the mathematical models of a single three-phase inverter and two three-phase inverters connected in parallel are established in this paper. The transfer function is derived and the resonant characteristics of grid-connected single inverter and parallel grid-connected multi-inverters are analyzed by using Bode diagram. On the basis of the maximum power tracking link, This paper proposes a control strategy which combines the double closed-loop of current by using grid-connected voltage and capacitive current with the proportional feedforward compensation of grid voltage, which maximizes the use of solar energy and has a better harmonic resonance suppression capability at the same time. The effectiveness and correctness of the proposed control strategy are verified by Matlab/Simulink system simulation.
Rearch on Electromagnetic Scattering from ocean covered by foams
Authors: Qian GAO , Hongwei YUE , Zhenxin WANG , Yajun JI , Ximin LI
Published: June 2018

Back scattering of ocean surface is investigated by considering the foams coverage on its surface. Firstly, by adopting modified two-scale mode and the vector radiative transfer theory, zero and first order scattering coefficients are obtained by solving VRT equations. Then, MIE theory is used to get the scattering from foams, and fraction of foams coverage is analyzed by changing parameters of wind speed and temperature difference of ocean-air. Finally, the modified two-scale model and algorithms are verified by comparing its results with measured results, and simulations of calculating back scattering from ocean surface with and without foams are carried out. The conclusion is obtained that wind speed has different influence on back scattering under different incident angles.
Two Improved Homomorphic Techniques Used in Functional Encryption Schemes
Authors: Xu Chengbo , Yang Shuying
Published: June 2018

In this paper, we analyze the key homomorphic technique used in constructions of functional encryption schemes and point out its weakness in efficiency. Based on this, we propose two improved homomorphic techniques and show their advantages and weaknesses through the method of comparison.
Vorausschauende Behandlungsplanung und Therapiebegrenzung
Authors: Winkler Eva , Heußner Pia
Published: June 2018

Entscheidungen zur Therapiebegrenzung sind wichtig, um eine Übertherapie am Lebensende zu verhindern. Sie gehen heute mehr als der Hälfte der erwarteten Todesfälle voraus, werden aber vorher nicht immer mit den Patienten besprochen. Grund hierfür ist, dass selten Gespräche stattfinden, die Entscheidungen am Lebensende vorbereiten und dabei Patientenpräferenzen für die letzte Lebensphase in Erfahrung bringen. Dabei gibt es mittlerweile eine belastbare Evidenz dafür, dass solche Gespräche die Lebensqualität der Patienten verbessern, Angst und Depression reduzieren und dem Patienten eine realistischere Einschätzung seiner Erkrankungssituation ermöglichen, was wiederum Voraussetzung für gemeinsame Entscheidung zur '.

In diesem Artikel wird der Begriff „Therapiebegrenzung“ definiert und seine Rechtfertigung aus medizinethischer Sicht begründet. Vor allem aber werden die Ursachen benannt, die derzeit in der medizinischen Versorgung Hinderungsgründe dafür sind, dass eine vorausschauende Behandlungsplanung und Gespräche zur Therapiebegrenzung selten erfolgen. Abschließend werden Lösungsansätze zur Verbesserung der Situation mit ganz praktischen Vorschlägen vorgestellt.
Dialyse bei Diabetes
Authors: Weyrich Peter , Schätzle Gabriele , Maljkovic Mirko , von Gersdorff Gero
Published: June 2018

Der Diabetes mellitus ist trotz besserer Blutzucker- und Blutdruckeinstellung nach wie vor die häufigste Grunderkrankung beim Auftreten einer terminalen
Niereninsuffizienz. Sofern eine Nierentransplantation nicht möglich ist, sind Hämodialyse und Peritonealdialyse bei der diabetischen Dialysepopulation als
gleichwertige Verfahren anzusehen. Dieser Artikel fasst aktuelle epidemiologische, diagnostische und therapeutische Aspekte von Diabetikern an Dialyse
zusammen.
Proline-Catalyzed Asymmetric α-Amination in the Synthesis of Bioactive Molecules
Authors: Kumar Pradeep , Sharma Brijesh
Published: June 2018

The direct α-amination of carbonyl compounds using organocatalysts represents a powerful and atom-economical tool for asymmetric C–N bond formation. We describe a complete account of α-functionalization of carbonyl compounds, through iterative sequential α-aminoxylation/amination using electrophilic O and N sources, as well as sequential α-amination/HWE reaction for enantio- and diastereoselective synthesis of both syn- and anti-1,3-aminoalcohols and 1,3-diamines. Additionally this protocol is further extended for the easy construction of alkaloids such as indolizidine, pyrrolizidine, and quinolizidine fused-ring systems just by tuning the chain length of the aldehyde used as a starting material. This methodology provides further scope to extrapolate it for a variety of naturally occurring hydroxylated monocyclic and fused bicyclic pyrrolidine and piperidine based alkaloids such as lentiginosine, epi-lentiginosine, dihydroxypyrrolizidine, (+)-deoxoprosophylline and (–)-deoxoprosopinine alkaloids. Furthermore, we have also uncovered proline-catalyzed anti-selectivity for the synthesis of 1,2-amino alcohols in α-amination of aldehyde and one-pot indium-mediated Barbier type allylation of α-hydrazino aldehydes to accomplish the total synthesis of clavaminols, sphinganine and spisulosine with reduced number of steps and with high overall yields.

1 Introduction

2 Application in the Total Synthesis of Alkaloids

3 Conclusion
Hemostasis and Thrombosis in Extreme Temperatures (Hypo- and Hyperthermia)
Authors: Levi Marcel
Published: June 2018

The delicate biochemistry of coagulation and anticoagulation is greatly affected by deviations from the optimal temperature required for the interactions between various coagulation enzymes, cellular receptors, and intracellular mechanisms. Hyperthermia will lead to a prothrombotic state and, if sufficiently severe such as in heatstroke, a consumption coagulopathy, which will clinically manifest with the simultaneous appearance of intravascular thrombotic obstruction and an increased bleeding tendency. Hypothermia slows down the coagulation process, but as this seems to be adequately balanced by impairment of anticoagulant and fibrinolytic processes, its clinical effects are modest; however, hypothermia may be modestly linked to a somewhat higher risk of localized thrombosis. Restoration of a normal body temperature in patients affected by hyper- or hypothermia is the cornerstone for the management of associated coagulation derangements.