bluuebunny/crossref_metadata_2025 huggingface dataset:
Highly selective room temperature acetylene sorption by an unusual triacetylenic phosphine MOF
Authors: Reynolds Joseph E. , Walsh Kelly M. , Li Bin , Kunal Pranaw , Chen Banglin , Humphrey Simon M.
Published: August 2018

The new ligand tris(p-carboxyphenylethynyl)phosphine (P{CCC6H4-4-CO2H}3) was used to synthesize a permanently porous Mn(ii)-based acetylenic phosphine coordination material, PCM-48.
Surfactant-free electrochemical synthesis of metallic nanoparticles via stochastic collisions of aqueous nanodroplet reactors
Authors: Jeun Young Eun , Baek Bongkwan , Lee Myoung Won , Ahn Hyun S.
Published: August 2018

Electrochemistry in attoliter aqueous nanodroplets: synthesis of Cu and Ag nanoparticles directly by electrode-bound and surfactant-free synthesis.
Switching from positive to negative axial thermal expansion in two organic crystalline compounds with similar packing
Authors: Negi Lalita , Shrivastava Ashutosh , Das Dinabandhu
Published: August 2018

Switching from positive to negative axial thermal expansion was observed in two organic crystalline compounds with similar crystal packing. This unusual phenomenon has been explained by the packing arrangement of molecules in the crystal structure and transverse thermal vibrations of atoms.
Direct α-C–H amination using various amino agents by selective oxidative copper catalysis: a divergent access to functional quinolines
Authors: Liang Yantang , Jiang Huanfeng , Tan Zhenda , Zhang Min
Published: August 2018

Direct dehydrogenative tetrahydroquinolyl α-C–H amination using various amino agents for divergent access to 2-aminoquinolines has been demonstrated.
A photocatalytic iminyl radical-mediated C–C bond cleavage/addition/cyclization cascade for the synthesis of 1,2,3,4-tetrahydrophenanthrenes
Authors: Wang Peng-Zi , Yu Xiao-Ye , Li Chan-Yun , He Bin-Qing , Chen Jia-Rong , Xiao Wen-Jing
Published: August 2018

A visible light photocatalytic radical addition/cyclization cascade is developed to provide an efficient access to cyanoalkylated 1,2,3,4-tetrahydrophenanthrenes.
Highlights from Faraday Discussion on Designing Nanoparticle Systems for Catalysis, London, UK, May 2018
Authors: Arrigo Rosa , Logsdail Andrew J. , Torrente-Murciano Laura
Published: August 2018

The 2018 Faraday Discussion on “Designing Nanoparticle Systems for Catalysis” brought together leading scientists to discuss the current state-of-the-art in the fields of computational chemistry, characterization techniques, and nanomaterial synthesis, and to debate the challenges and opportunities going forward for rational catalyst design.
Crystallization kinetics of water on graphite
Authors: Souda Ryutaro , Aizawa Takashi
Published: August 2018

The nucleation and growth of water crystallites on a graphite substrate are discussed in terms of the initial film thickness, deposition temperature, and effects of adspecies.
Effects of double-atom vacancies on the electronic properties of graphyne: a DFT investigation
Authors: Wu Si , Yuan Yuan , Ai Hongqi , Lee Jin Yong , Kang Baotao
Published: August 2018

Vacancy defects are one of the key impurities that strongly affect the properties of materials.
Dissociative electron attachment to HGaF4 Lewis–Brønsted superacid
Authors: Czapla Marcin , Simons Jack , Skurski Piotr
Published: August 2018

An excess electron attachment to the HGaF4 superacid induces its spontaneous fragmentation leading to H atom and GaF4− superhalogen anion.
H2 reduction of Gd- and Sm-doped ceria compared to pure CeO2 at high temperatures: effect on structure, oxygen nonstoichiometry, hydrogen solubility and hydroxyl chemistry
Authors: Grünbacher Matthias , Schlicker Lukas , Bekheet Maged F. , Gurlo Aleksander , Klötzer Bernhard , Penner Simon
Published: August 2018

Acceptor doping of CeO2 substantially influences defect chemistry, bulk structure, hydrogen solubility and hydroxyl chemistry in hydrogen atmospheres.
Evaluation of the aggregation process in a mixture of propofol and benzocaine
Authors: León I. , Lesarri A. , Fernández J. A.
Published: August 2018

Aggregation of propofol and benzocaine was explored using mass-resolved laser spectroscopy and DFT calculations.
Spatial distribution of organic functional groups supported on mesoporous silica nanoparticles (2): a study by 1H triple-quantum fast-MAS solid-state NMR
Authors: Kobayashi Takeshi , Singappuli-Arachchige Dilini , Slowing Igor I. , Pruski Marek
Published: August 2018

Spatial distribution of organic functionalities deposited on mesoporous silica with low loading was determined by 1H triple-quantum/single quantum correlation solid-state NMR.
Structure and thermoelectric properties of the silver lead bismuth selenides Ag5Pb9Bi19Se40 and AgPb3Bi7Se14
Authors: Heinke Frank , Nietschke Frederik , Fraunhofer Christina , Dovgaliuk Iurii , Schiller Jordana , Oeckler Oliver
Published: August 2018

Two new lillianite-like phases in the system Ag/Pb/Bi/Se are characterized by pronounced disorder and promising ZT values up to 0.23.
Iridium complexes catalysed the selective dehydrogenation of glucose to gluconic acid in water
Authors: Borja Pilar , Vicent Cristian , Baya Miguel , García Hermenegildo , Mata Jose A.
Published: August 2018

A catalytic dehydrogenation process for the production of gluconic acid from glucose and starch is reported here.
The human iron-proteome†
Authors: Andreini Claudia , Putignano Valeria , Rosato Antonio , Banci Lucia
Published: August 2018

Organisms from all kingdoms of life use iron-proteins in a multitude of functional processes. We applied a bioinformatics approach to investigate the human portfolio of iron-proteins. We separated iron-proteins based on the chemical nature of their metal-containing cofactors: individual iron ions, heme cofactors and iron–sulfur clusters. We found that about 2% of human genes encode an iron-protein. Of these, 35% are proteins binding individual iron ions, 48% are heme-binding proteins and 17% are iron–sulfur proteins. More than half of the human iron-proteins have a catalytic function. Indeed, we predict that 6.5% of all human enzymes are iron-dependent. This percentage is quite different for the various enzyme classes. Human oxidoreductases feature the largest fraction of iron-dependent family members (about 37%). The distribution of iron proteins in the various cellular compartments is uneven. In particular, the mitochondrion and the endoplasmic reticulum are enriched in iron-proteins with respect to the average content of the cell. Finally, we observed that genes encoding iron-proteins are more frequently associated to pathologies than the all other human genes on average. The present research provides an extensive overview of iron usage by the human proteome, and highlights several specific features of the physiological role of iron ions in human cells.
Optimization and intensification of hydrosilylation reactions using a microreactor system
Authors: Pawlowska-Zygarowicz Anna , Kukawka Rafal , Maciejewski Hieronim , Smiglak Marcin
Published: August 2018

Utilization of continuous flow chemistry techniques concentrates often on catalytic reactions difficult to be performed for various reasons under typical batch conditions.
A smart supramolecular device for the detection of t,t-muconic acid in urine
Authors: Merli Daniele , La Cognata Sonia , Balduzzi Federica , Miljkovic Ana , Toma Lucio , Amendola Valeria
Published: August 2018

An indicator displacement assay is applied in the fluorescence detection of urinary t,t-muconic acid at the occupational level.
Photodeposition of gold nanoparticles on silica nanospheres using carbon dots as excellent electron donors
Authors: Choi Dayeon , Jang Du-Jeon
Published: August 2018

Gold nanoparticles have been photodeposited directly on SiO2 nanospheres by using carbon dots as excellent electron donors.
Multimodal gadolinium oxysulfide nanoparticles: a versatile contrast agent for mesenchymal stem cell labeling
Authors: Santelli Julien , Lechevallier Séverine , Baaziz Houda , Vincent Marine , Martinez Cyril , Mauricot Robert , Parini Angelo , Verelst Marc , Cussac Daniel
Published: August 2018

Despite a clear development of innovative therapies based on stem cell manipulation, the availability of new tools to better understand and follow stem cell behavior and improve their biomedical applications is not adequate.
Enhanced 3 dB AR beamwidth metamaterial antenna for nanosatellite payload communication system
Authors: Alam T. , Islam M.T. , Cho M.
Published: August 2018

A compact dual‐circular polarised metamaterial inspired antenna is proposed for nanosatellite payload communication. The antenna consists of two‐layered stacked structure with a sandwich rectangular parasitic layer between two layers. Two double negative metamaterial cells. Two unit cells of DNG metamaterial structure are applied inside the pentagonal radiator to enhance 3 dB axial ratio (AR) bandwidth and beamwidth. Two orthogonal feedings are utilised to generate dual‐circular polarisation (CP). The antenna achieves measured 710 MHz (3.06–3.77 GHz) of −10 dB impedance bandwidth with 160 MHz (3.02–3.18 GHz) and 210 MHz (3.05–3.26 GHz) of 3 dB AR bandwidth for port 1 and port 2, respectively. The 3 dB AR beamwidth of 165° for port 1 and 212° for port 2 is exhibited with an average realised gain of 5.15 dB. A 1U nanosatellite structure has been utilised to realise the antenna performance while operation in real‐time environment.
Resource allocation for hybrid energy powered cloud radio access network with battery leakage
Authors: Duan Sijing , Zhang Deyu , Ren Ju , Zhang Yaoxue
Published: August 2018

This study proposes a resource allocation policy for hybrid energy powered cloud radio access network with battery leakage. To optimise the network utility, the authors first formulate a network utility maximisation problem while jointly considering multiple random processes, which include energy harvesting, data arrival, wireless channel condition, and grid energy prices. To tackle this problem, they exploit the Lyapunov optimisation technique to develop an online dynamic resource allocation framework, which contains four subproblems, i.e. data admission, hybrid energy management, power allocation and route scheduling. Based on the solutions of these subproblems, a network utility optimisation resource allocation (ORA) algorithm is proposed. Specifically, the ORA algorithm only needs to track the current system states without requiring a prior knowledge about channel and energy conditions. Theoretical performance analyses and simulation results verify that the proposed algorithm can achieve close‐to‐optimal utility with bounded data buffer and battery capacity.
Short block length trellis‐based codes for interference channels
Authors: Dabirnia Mehdi , Sharifi Shahrouz , Tanc A Korhan , Duman Tolga M.
Published: August 2018

In this study, the authors consider Gaussian interference channels and fading interference channels, and design short block length codes based on trellis‐based constructions. For both joint maximum likelihood (JML) decoding and single user minimum distance decoding, they obtain error‐rate bounds to assess the code performance. Then they employ the obtained bounds for code design and present several design examples. For the case of quasi‐static fading, they note that while the simple version of the derived bound is not sufficiently tight for code search purposes, one can obtain a tight performance bound with a higher complexity that can be used for a theoretical performance investigation. For the Gaussian case under JML decoding, they show that the newly designed codes provide significant improvements over point‐to‐point (P2P) trellis‐based codes and off‐the‐shelf low density parity check codes. They also demonstrate that, for the case of independent and identically distributed fading, the best codes obtained by performing code search are P2P optimal ones, which is also verified by simulation results.
Quality constrained multi‐attribute energy‐efficient resource allocation for heterogeneous cognitive radio networks
Authors: Varade Pradip S. , Ravinder Yerram
Published: August 2018

This study explores the resource allocation problem in heterogeneous cognitive radio networks (HetCRNet) in order to enhance spectral and energy efficiency (EE) simultaneously while assuring the quality of service. Towards providing energy‐efficient optimality in HetCRNet, energy conservation and its optimal utilisation are much needed. This research work investigates the joint modelling of spectrum efficiency (SE) and EE, under varying channel conditions. Furthermore, devise an approach to provide multiple attribute monitoring to attain simultaneous higher performance. A quality constrained multi‐attribute energy‐efficient resource allocation scheme in HetCRNet is proposed. First signal‐to‐noise ratio (SNR) for coordinative and non‐coordinative conditions is derived to consider varying channel conditions. Based on these derived SNR multi‐attribute resource allocations for joint SE and EE in HetCRNet are developed to attain greener communication which considers attributes such as throughput, fairness and battery life of a node. The simulation results validate the improvements in SE in terms of throughput, EE and offered quality in comparison with existing multi‐attribute optimisation and joint SE and EE resource allocation with perfect channel state information.
Leader‐following consensus of second‐order multi‐agent systems with arbitrarily appointed‐time prescribed performance
Authors: Wei Caisheng , Luo Jianjun , Yin Zeyang , Yuan Jianping
Published: August 2018

In this brief, a novel leader‐following appointed‐time consensus control protocol is investigated for second‐order multi‐agent systems on a directed graph from the prescribed performance perspective. Through developing a new state‐independent performance function, the practically fixed‐time stability or expected appointed‐time tracking accuracy of the leader‐following network systems can be achieved, wherein, the state‐independent setting time can be arbitrarily specified a priori. Compared with the existing works, the primary advantage of the proposed control protocol is that no fractional power state feedback is used and the transient behaviours including the appointed‐time convergence rate, overshoot and undershoot can be synthesised simultaneously. Moreover, the excellent disturbance suppression capacity can be achieved just through adjusting a few parameters involved in the newly developed performance controller. Finally, two groups of illustrative examples are employed to validate the effectiveness of the proposed control protocol.
Approximation of optimal ergodic dividend strategies using controlled Markov chains
Authors: Jin Zhuo , Yang Hailiang , Yin George
Published: August 2018

This study develops a numerical method to find optimal ergodic (long‐run average) dividend strategies in a regime‐switching model. The surplus process is modelled by a regime‐switching process subject to liability constraints. The regime‐switching process is modelled by a finite‐time continuous‐time Markov chain. Using the dynamic programming principle, the optimal long‐term average dividend payment is a solution to the coupled system of Hamilton–Jacobi–Bellman equations. Under suitable conditions, the optimal value of the long‐term average dividend payment can be determined by using an invariant measure. However, due to the regime switching, getting the invariant measure is very difficult. The objective is to design a numerical algorithm to approximate the optimal ergodic dividend payment strategy. By using the Markov chain approximation techniques, the authors construct a discrete‐time controlled Markov chain for the approximation, and prove the convergence of the approximating sequences. A numerical example is presented to demonstrate the applicability of the algorithm.
Demand side flexibility schemes for facilitating the high penetration of residential distributed energy resources
Authors: Avramidis Iason I. , Evangelopoulos Vasileios A. , Georgilakis Pavlos S. , Hatziargyriou Nikos D.
Published: August 2018

Presently, the penetration of residential distributed energy resources (DER) that produce (photovoltaics, wind generators) or consume (electric heat pumps, electric vehicles) electric power, is continuously increasing in an uncoordinated fashion. If the appropriate steps are not taken to ensure their smooth integration, issues such as violations of voltage and thermal limits occur, especially at higher DER penetrations. This study investigates the impact of each DER on low‐voltage (LV) networks, and subsequently, multiple large‐scale demand side flexibility (DSF) schemes are proposed per DER type, based on the cooperation of system operator and residential customer, to combat said issues and to significantly increase DER penetration. A rule‐based approach is used for each DSF scheme, to highlight their effectiveness in ‘raw’ form, and to assess whether they merit further practical consideration. Using data on real LV feeders and real DER profiles, through a Monte Carlo simulation framework considering the stochastic behaviour of the various network elements, DER impact and DSF performance are measured. The results include a major improvement in delivered power quality, highly increased DER accommodation capacity, a thorough comparison of the technical performance of each DSF scheme, and a conclusion on the effectiveness of each DSF scheme.
Statistical characterisation of block variance and AC DCT coefficients for power law enhanced images
Authors: Singh Neetu , Gupta Abhinav , Jain Roop C.
Published: August 2018

The study of statistical distributions of alternating current (AC) discrete cosine transform (DCT) coefficients is one of the key techniques for digital images. In this study, we have analysed original and power law enhanced images in the logarithmic domain. The logarithmic domain linearises the otherwise nonlinear relation between original and power law enhanced images. We have experimentally proved that Gamma distribution is the best distribution for characterisation of block variance in terms of Jensen–Shannon divergence. Therefore, a composite distribution, Gaussian‐Gamma, is employed for characterisation of AC DCT coefficients. We have analytically derived and experimentally verified that the scale parameters of power law enhanced image are proportional to scale parameters of the original image whereas shape parameters remain unchanged. On further experimentation, it is established that scale and shape parameters of the composite statistical distribution of AC DCT coefficients do not change if images are compressed in JPEG format after power law enhancement. Furthermore, a novel feature set of scale parameters is constructed and is applied to train decision tree to classify original, brightened, and darkened images. The comparison of achieved classification results with the state‐of‐the‐art show the efficacy of proposed analysis.
Circularly polarised patch array antenna based on reactive impedance surface
Authors: Zhang Zhiyi , Chen Wan , Fu Jiahui , Li Peng , Lv Bo , Wang Zhefei
Published: August 2018

In this study, a circularly polarised (CP) patch array antenna based on reactive impedance surface (RIS) is presented. The proposed 4 × 4 patch array antenna possesses a RIS layer which is utilised to replace the conventional ground plane in order to enhance the bandwidth. Meanwhile, patches are cut with two diagonal corners and a rectangular slot for the fulfilment of wideband CP radiation and fed by a one‐to‐sixteen network simultaneously. Furthermore, in order to explain the effect of RIS in the axial ratio (AR), the CP antenna elements with (or without) RIS are designed. There is the same trend in simulated and measured results. Measured results show the proposed antenna exhibits good performances, such as wideband impedance matching, low AR, high gain. It is testified that pure CP radiation and symmetry broadside patterns are achieved in a wide frequency band, indicating the proposed antenna can exhibit significant application in global satellite communication systems and 5G Wi‐Fi application.
Design of solar‐powered agriculture pump using new configuration of dual‐output buck–boost converter
Authors: Mishra Anjanee Kumar , Singh Bhim
Published: August 2018

This paper proposed a new structure of single switch dual output Zeta derived DC‐to‐DC converter for an efficient harvesting of photovoltaic (PV) power for a 4‐phase switched reluctance motor (SRM) driven agriculture pump. The system is essentially developed to minimise both cost and complexity, while synchronously guaranteeing optimal operation of the PV array. The proposed converter is derived from a hybrid of a ‘Zeta’ and Landsman converters and so it contains all the benefits of both converters including balanced outputs. Due to an identical instantaneous duty cycle, the switching node is shared by both Zeta and Landsman converters. The proposed converter offers continuous power to drive, a low ripple in output current, and balanced dual output supply. The PV power optimisation and to deliver smooth start of SRM, are the two major objectives of proposed DC‐to‐DC converter. A new maximum power point tracking (MPPT) technique is also used in the system to optimise the performance of PV array. Moreover, the proposed MPPT control has an additional advantage of regulating the flow rate of water pumping by adjusting the duty cycle of DC‐to‐DC converter. The motor speed is smoothly regulated through the variable DC link voltage of a mid‐point converter.
Millimeter-wave spectroscopy and modeling of 1,2-butanediol
Authors: Vigorito A. , Calabrese C. , Melandri S. , Caracciolo A. , Mariotti S. , Giannetti A. , Massardi M. , Maris A.
Published: August 2018

Context. The continuously enhanced sensitivity of radioastronomical observations allows the detection of increasingly complex organic molecules. These systems often exist in a large number of isomers leading to very congested spectra.

Aims. We explore the conformational space of 1,2-butanediol and provide sets of spectroscopic parameters to facilitate searches for this molecule at millimeter wavelengths.

Methods. We recorded the rotational spectrum of 1,2-butanediol in the 59.6–103.6 GHz frequency region (5.03–2.89 mm) using a free-jet millimeter-wave absorption spectrometer, and we analyzed the properties of 24 isomers with quantum chemical calculations. Selected measured transition lines were then searched on publicly available ALMA Band 3 data on IRAS 16293-2422 B.

Results. We assigned the spectra of six conformers, namely aG′Ag, gG′Aa, g′G′Ag, aG′G′g, aG′Gg, and g′GAa, to yield the rotational constants and centrifugal distortion constants up to the fourth or sixth order. The most intense signal belong to the aG′Ag species, that is the global minimum. Search for the corresponding 30x,30 − 29x,29 transition lines toward IRAS 16293-2422 B was unsuccessful.

Conclusions. Our present data will be helpful for identifying 1,2-butanediol at millimeter wavelengths with radio telescope arrays. Among all possible conformers, first searches should be focused on the aG′Ag conformers in the 400–800 GHz frequency spectral range.
Monte Carlo optimization simulation of neutron shielding performance of iron/polyethylene combined structure
Authors: Zuo Yinghong , Zhu Jinhui , Niu Shengli , Xie Honggang , Shang Peng
Published: August 2018

This study aims to get the optimization neutron shielding design of iron/polyethylene combined shield structure. The neutron transmission coefficient with various energies for different thickness of iron and polyethylene combined shield structure were calculated by using Monte Carlo method. The simulation results show that the optimization effect of iron/polyethylene combined shield is not obvious when the neutron energy is low or the shield is thin, there is an optimal thickness ratio of iron to polyethylene adopted to get the best neutron shielding performance when the energy of neutron source is above 2 MeV and the total thickness of combined shielding structure is more than 20 cm. The
optimal thickness ratio of iron to polyethylene increases with the increasing energy of neutron source; with the increasing of neutron source energy ranging from 4 MeV to 14 MeV, the optimal thickness ratio of iron to polyethylene trends from 0.11 to nearly 1.6.
The use of additional evidence in mining usercreated descriptions for content structural design
Authors: Wu Yan
Published: August 2018

The use of a text mining approach for full automatic taxonomy creation for content management has proven with serious limitations. The high level semantics indicating relevant association of entities among the documents are often not explored. This study introduces a feasible method that allows identifying high level semantics into text mining procedures while providing for appropriate levels of document descriptions to support access and discoverability. Due to the effectiveness of categorization and adequacy of the structure created can be better determined by humans who are familiar to the documents, qualitative inquiry rather than a purely experimental design was applied. The study collected the data and run the text mining analysis with text analysis, clustering and topic extraction. Two examples show how to develop a faceted classification structure to support digital collection access and navigation using the method. The study indicates that the text-mining method supports taxonomy creation with more efficiency and accuracy when human domain and application knowledge are captured during data collection and text mining processing. The proposed method of taxonomy creation would support the creation of new knowledge.
Analysis on the use of Latent Semantic Indexing (LSI) for document classification and retrieval system of PNP files
Authors: Aquino Angelica M. , Chavez Enrico P.
Published: August 2018

Document classification is the process of categorizing documents from many mixed files automatically [1]. In this paper, an approach to classification of documents for admin-case files of Philippine National Police (PNP) using Latent Semantic Indexing (LSI) method is proposed. The model for this that represents term-to-term, document-todocument and term-to-document relationships has been applied. Regular Expression is implemented also to define a search pattern based on character strings which the LSI used to establish the semantic relevance of the character strings to the search term or keyword. The aim of the study is to evaluate the performance of LSI in classifying PNP documents; experimentation was done using software to test the capability of LSI towards text retrieval. Indexing is according to the pattern matched in the collection of text that uses model of SVD. Based on tests, documents were indexed based on file relationships and was able to return a search result as the retrieved information from PNP files. Weights are used to check the accuracy of the method; the positive values identified in query similarity are regarded as the most relevant among the related searches, meaning, the query word matches words in a text file and it returns a query result.
A Multi-MCDS scheduling based virtual backbone network construction and maintenance algorithm in FANET
Authors: Qi Xiaohan , Yang Zhihua
Published: August 2018

Constructing a virtual backbone network can efficiently concentrate most routing and forwarding operations of whole network into several dominating nodes in the virtual backbone sub-net, which is recently developing into an attracted candidate solution for the architectures of terrestrial mobile ad hoc networks. In a flying ad hoc network (FANET), however, high dynamics of nodes and scenarios produce considerably large challenges on the topology control and maintenance due to rapidly timevarying property of topology. In this paper, therefore, we proposed a link prediction-based minimal connected dominating set (MCDS) dependent topology control mechanism to achieve efficient maintenances of connectivity in the network. In particular, the proposed algorithm could provide a stable and effective virtual backbone sub-net in a fast changing topology of FANET, by flexibly scheduling multiple MCDS with a very efficient method. The simulation results shows that, compared with typical single CDS method, the proposed algorithm presents excellent performances in obviously dynamic environments with respect to fewer update times and higher rate of successful updates.
An effective method for monitoring the vibration data of bearings to diagnose and minimize defects
Authors: Chu Y C , Pham T N , Hsu F R , Tuw M J , Tan C W , Chay M C , Lim S C , Tsai M F
Published: August 2018

Monitoring of vibration in machine tools is becoming a very important application in industry to reduce machine failures, maintenance costs, and dead time. In this paper, we propose a method to identify possible faults based on vibration data from which predictions about the working condition of the machine tools can be made. We used an accelerometer to collect the vibration data from which to analyse the health of machine tools by diagnosing whether they are in good or faulty condition for working. In our experiments, we introduced a machine called the Reliance Electric motor, which has a bearing running inside it. Our research analyses vibration data from components of the bearing including the outer bearing, inner bearing, and rolling element. The experimental results show that our method is highly accurate in diagnosing failures and significantly reduces the maintenance costs of machine tools.
Application of interference alignment in fullduplex D2D communications
Authors: Ma Bei , Zhang Zhigang , Chen Ruirui
Published: August 2018

As compared with the wireless half-duplex (HD) transmission, the wireless full-duplex (FD) transmission can potentially double the system throughput if the self-interference can be efficiently cancelled. Accordingly, this paper proposed an interference alignment (IA)-based self-interference suppression method for the FD D2D bidirectional communications. The self-interference and mutual interference are aligned into the null-space at the receiver, and then suppressed by the receive matrices. Performance evaluation demonstrates the effectiveness of proposed self-interference suppression algorithm for the FD D2D networks.
Waveform design for integration of MIMO radar and communication based on orthogonal frequency division complex modulation
Authors: Cui Xiaomeng , Yang Jie , Yan Tao , Yang Ruijuan
Published: August 2018

The integration technology of radar and communication is an effective way to realize resource platform sharing, system advantages complementation and comprehensive performance improvement. Aiming at the shortcomings of the current integrated waveform, an integrated waveform for MIMO radar and communication is proposed in the paper based on orthogonal frequency division complex modulation (OFDCM), which is of favourable performance on the radar and communication. Theoretical analysis and simulation experiments show that the designed waveform not only acquires excellent communication performance with high transmission rate and large transmission capacity, but also features satisfactory performance for radar targets detection such as wide bandwidth, interference rejection, low interception and high doppler tolerance.
Edge detection in Cassini astronomy image using Extreme Learning Machine
Authors: Yang Xiqi , Zhang Qingfeng , Yang Xiyu , Peng Qingyu , Li Zhan , Wang Na
Published: August 2018

Edge detection is often performed on disc-like object in Cassini astronomy images to accurately obtain the object’s center position. The existing edge extraction methods usually produce lots of false edge pixels because of noise and the interior details in disc-like objects. In the paper, an edge detection algorithm based on Extreme Learning Machine (ELM) is proposed for Cassini astronomy images. In the ELM model, a 28-D feature vector of a pixel in Cassini image is constructed as input, which consists of first and second derivatives and some Haar-like features, and a binary classifier is obtained as output that tells if the pixel is in edge. The experimental result shows that its performance is much better than traditional operators. The detected edge is closer to the actual contour. Its average accuracy is 0.9379. The algorithm can be applied to edge detection of disc-like objects in astronomy images.
Influence of beam radius on deposition parameters in dielectric under high energy electron irradiation
Authors: Zuo Yinghong , Wei Yuan , Zhu Jinhui
Published: August 2018

To study the influence of the electron beam radius on the deposition parameters in dielectric under high energy electron irradiation, a model of dielectric irradiated by plane electron beam source was established. Monte Carlo simulation method was used to calculate the distribution of the injection current density, injection charge density, dose rate and radiation induced conductivity in the dielectric layer of Teflon after electron irradiation with different energies and different beam radii. The results show that the radius of the electron beam source has little influence on the distribution trend of the injection current density in the dielectric layer, as well as the peak position of the injection charge density and the dose rate, but it will significantly affect the peak value of injection charge density and the dose rate. When the electron beam radius is smaller than the dielectric layer radius, the calculated peak is higher than that of the electron beam completely covering the dielectric layer. The higher the electron energy is, the greater the relative deviation will be.
Chinese electronic health record analysis for recommending medical treatment solutions with
NLP and unsupervised learning
Authors: Zhong Junmei , Yi Xiu
Published: August 2018

Electronic health record (EHR) analysis has become increasingly important in improving the quality of human healthcare. To leverage the full insights from the big EHRs, it is very important to define some application scenarios for which the relevant data can be extracted for training machine learning models to accomplish the expected goals. In this
paper, we develop a system on how to recommend medical treatment solutions for patients living in the countryside and small cities when they happen to have schizophrenia but the doctors in the local hospitals do not have sufficient expertise to deal with such challenges. In the EHRs, we take the patients’ symptom descriptions as documents and then develop NLP and unsupervised machine learning techniques to analyze such documents to find the relevant and effective treatment solutions provided by medical experts. Extensive experimental results with different vector representations for documents show that the binary keyword vector representation works best to find relevant and effective medical treatment
plans and solutions from the EHRs for any input symptom description.
Study on risk weights of different stroke risk factors
Authors: Zhang Yiyan , Xin Yi , Kang Hongyu , Lv Weiqi , Li Qin
Published: August 2018

Stroke is a common disease that seriously endangers human health and life. According to the number of eight traditional risk factors of stroke to determine the stroke high-risk group, there are still some limitations. The study aims to explore the risk weights of different stroke risk factors. The research data used in this study was collected by the stroke prevention and control project. The study population included adults aged ≥40 years residing in 16 provinces, municipalities and autonomous regions throughout China. 985, 325 subjects were included in the study, 15,835 stroke patients (1.65%) and 941,490 without stroke (98.35%). The Cumulative score model was applied to explore the stroke risk factors and their risk weights based on Logistic regression. From high to low, the risk of eight traditional factors is hypertension, family history of stroke, atrial fibrillation, diabetes mellitus, dyslipidemia, obvious weight, lack of physical activity and smoking. The weight coefficient of hypertension is about 7.7 times that of smoking.
Research on support mode of Medium Altitude Long Endurance UAS based on the mode of military trade
Authors: Deng Haoran , Zhu Zhenyu , Wang Jianghui
Published: August 2018

The Unmanned Aerial System (UAS) is more and more widely used in modern warfare, and its problem of support mode is becoming more and more prominent. The support mode of UAS refers to the standard mode to ensure the operation and maintenance of UAS which mainly composed of maintenance level, organization structure and contractor logistical support system. In most cases the support mode of UAS draws lesson from manned vehicles’. For the research and application of support model of UAS is relatively lagging, for example, the division of maintenance level is not clear; the allocation of support resources is redundant; military force lacks maintenance support capability; logistical support professional setting is not reasonable; the contractor logistics support system is not normative. So, there is no a set of effective, reasonable and normative support mode to support the operation and maintenance of UAS, resulting in the operational readiness of UAS is not high and maintenance process wastes a lot of manpower and material and money, which greatly restricts the operation and development of UAS. Combined with the UAS support requirements and features under the military trade, this paper analyses the status of the redundant and inefficient support mode. Aiming at these problem, a new support model of UAS will be researched from three aspects including the allocation of maintenance level, the adjustment of military maintenance organization structure, and the establishment of contractor logistical support system. By applying the new support mode to user, the operation and support of UAS will be more effective and reasonable which will greatly promote the development of UAS.
Discussion on application of VR technology in physical teaching
Authors: Tang Jiangjunzhe , Wang Chu , Liu Jinwei , Sun Daiping
Published: August 2018

In an age of further development of information, but the old teaching model is out of fashion and cannot be applied to current Cproduction and learning. In order to keep pace with changes, the old Cteaching model needs to be updated, while VR technology has powerful Cfunction of virtual simulation, which is applied in the field of physical Cteaching attracts public attention. This paper describes the great potential of VR technology applied in education, and also points out the current Cproblems in VR education and the prospects for VR technology, in order to promote physical teaching with the support of VR technology.
Vibration parameters measuring system of rotate mechanical based on MEMS sensor
Authors: Chen Jun , Zhou Tao
Published: August 2018

In this work, a novel vibration parameter measure instrument of rotate machine using a accelerometer is proposed. The ADXL203 micro accelerometer is used as the sensor of the instrument based on the MEMS (Micro Electro Mechanical System) technology. The mathematical modeling of the vibration is finished by the simple harmonic vibration theory. The noise of the system is disposed by the differential noise reduction circuit. The experiments such as differential noise reduction, frequency and vibration amplitude measurement are finished on the platform. The results indicate that the instrument is useful and effective.
Simulation analysis of the diode laser spectral beam combining
Authors: Li Jing , Qin Wenbin , Cao Yinhua , Qiu Yuntao , Liu Youqiang , Zeng Xiaodi , Wang Zhiyong
Published: August 2018

For high power diode laser, the multi-wavelength combining is an effective technology of improving the beam brightness. Based on the combing technology, the diode laser bar is described, with the different sample grating in every emitter ridge, which can have stability of the wavelength and the single longitudinal mode. Mathematics computing model based on the spilt-step fourier (SSF) method combining is built using MatLab. It simulated the multi-wavelength combining process of emitters. In simulation, the diode laser beam successively go through a focus lens and a diffraction grating, respectively. In result, the model accords with the law of the combining which is verified by existing report. The simulation solution satisfied the reported experiment.
Tunable Fano resonances in a robust quasicylindrical microresonator photonic system
Authors: Jin Xueying , Wang Mengyu , Dong Yongchao , Chen Liming , Li Fei , Wang Keyi
Published: August 2018

The control of Fano resonances is of critical importance to opto-electronic and all-optical switching devices, light delay and storage, high sensitivity sensors, and quantum information processors. In this paper, we experimentally and theoretically demonstrate that controllable electromagnetically induced transparency (EIT)-like and Fano resonances can be achieved in a single quasi-cylindrical microresonator (QCMR). Robust and selective excitation of localized axial modes in a high quality QCMR is firstly demonstrated. Based on this stable platform, EIT-like lineshapes can be tuned and converted into Fano resonances by vertically moving the resonator. Moreover, by horizontally scanning the resonator, the transmission spectrum exhibits periodically changed Fano-like lineshapes. It is reported for the first time that the above two kinds of Fano resonances originated from different mechanisms can work on the same mode simultaneously. Our approach, demonstrated in this work, provides a robust photonic platform for accessing, controlling, and engineering the Fano resonances.
Sensitivity of the inverse problem solution related to detection of rebars buried in concrete by using GPR scanning
Authors: Mechbal Zoubaida , Khamlichi Abdellatif
Published: August 2018

Ground Penetrating Radar is a device which is nowadays largely used in civil engineering applications. Considering a rebar buried in a concrete medium, this work addresses sensitivity of the inverse problem solution associated to identification of the object radius and its depth from B-scan data acquired by the GPR. The approach uses a closed form parameterisation of the hyperbola trace emerging in the radargram as function of the hyperbola apex coordinate along the direction of B-scan, the cover depth, the radius of the object and the relative permittivity of the medium. Estimation of the wave velocity, the hyperbola apex coordinates and the rebar radius was performed through solution of an appropriate nonlinear least mean squares problem. Perturbation analysis was then conducted by assuming that the hyperbola points coordinates, extracted from raw data of radargram, are randomly distributed according to Gaussian densities of probabilities. The effect of the amount of data was also analyzed. The method was implemented in Matlab environment. The obtained results have shown that identification process is extremely sensitive to noise affecting the B-scan raw data, but not to the number of points used in identification.
Zervikale Rückenmarkverletzungen bei vorbestehender Spinalkanalstenose
Authors: Schulz Chris , Mathieu René , Mauer Uwe
Published: August 2018

Das Risikopotenzial eines Patienten mit asymptomatischer zSKS eine zRMV zu erleiden, ist nicht relevant erhöht. Gemessen an der perioperativen Morbidität und Mortalität zervikaler Dekompressions- und Fusionseingriffe sind prophylaktische Operationen für diese Subgruppe nicht zu empfehlen. Bei symptomatischen, insbesondere myelopathischen Patienten mit zSKS steigt einerseits die Sturzgefahr (als Folge der ataktischen Gangstörung), und die Prognose eines zRMV mit zSKS ist erwiesenermaßen schlechter als ohne additive zSKS. Somit sollten symptomatische Patienten mit zSKS insbesondere bei Versagen konservativer Maßnahmen und Progredienz der neurologischen Störungen oder auffälligen elektrophysiologischen Befunden eher einer elektiven Dekompression zugeführt werden. Bei milder zRMV (ASIA >D) kann zunächst ein konservativer Therapieversuch unternommen werden. Bei symptomatischer zRMV (ASIA C oder schlechter) und zusätzlicher zSKS geht der Trend eher hin zu dekomprimierenden Operationen, wenn in der Akut- oder frühen Frühphase nicht eindeutig eine rasche Besserung unter konservativer Therapie ersichtlich ist. Die aktuelle systematisch aufgearbeitete Studienlage zur zRMV favorisiert eine frühe OP (innerhalb von 24 h, bei zRMV mit inkompletter Neurologie sogar < 8 – 12 h). Ob dies auch für die Subgruppe von zRMV mit zSKS gilt, kann mit hochwertigen Studien und eindeutiger Evidenz noch nicht belegt werden. Für eine zervikale Dekompressionsoperation mit Duraerweiterungsplastik finden sich derzeit noch nicht genügend positive Hinweise. Zervikale Myelonverletzungen mit zSKS ziehen sehr häufig Begutachtungen nach sich. In Erwartung dessen sollten Anstrengungen unternommen werden, die initialen Befunde und den Verlauf sowie die durchgeführten Therapien möglichst lückenlos zu dokumentieren.
Diarylheptanoids from Curcuma phaeocaulis Suppress IL-6-Induced STAT3 Activation
Authors: Jang Hyun-Jae , Park Eun-Jae , Lee Seung-Jae , Lim Hyung-Jin , Jo Jin , Lee Seung , Rho Mun-Chual
Published: August 2018

Three undescribed diarylheptanoids (3–5) and six known curcuminoids (1, 2, and 6–9) were obtained from the ethyl acetate-soluble fraction of an ethanolic extract of Curcuma phaeocaulis. Their chemical structures and absolute configurations were elucidated by high-resolution electrospray ionization mass spectrometry, nuclear magnetic resonance spectroscopy, circular dichroism spectroscopy, and the modified Mosherʼs method. Previous studies constructed Hep3B cells stably transfected with pSTAT3-Luc plasmid containing STAT3 binding site to discover STAT3 inhibitors from natural products. The STAT3 inhibitory activities of all isolates were measured in transfected Hep3B cells after treatment with IL-6. Compound 5 ((5R)-1,7-Bis(3,4-dimethoxyphenyl)-3-methoxy-1-hepten-5-ol), demethoxycurcumin (7), and curcumin (8) exhibited significant inhibitory activity (IC50 values: 11.1, 1.9, and 1.6 µM, respectively). Furthermore, IL-6-induced phosphorylation of STAT3, and the mRNA expression levels of inflammation-related genes such as CRP, IL-1β, ICAM-1, and SOCS3 were significantly reduced by exposure to compound 5. These data suggested that the inhibitory activity of 5 is associated with the suppression of STAT3 phosphorylation. Thus, compound 5 may be a promising candidate for the treatment of cancer or inflammatory diseases related to the IL-6/STAT3 signaling pathway.
Pediatric Nonvariceal Gastrointestinal Hemorrhage
Authors: Slowik Voytek , Shin David , Monroe Eric
Published: August 2018

Gastrointestinal bleeding (GIB) is a relatively rare yet potentially life-threatening event in children. While mesenteric angiography for GIB has grown into a ubiquitous component of adult interventional radiology practice, the pediatric experience is comparatively limited. We herein review the common etiologies and management of GIB in children, with special attention to angiographic technique relevant to pediatric anatomy.