bluuebunny/crossref_metadata_2025 huggingface dataset:
Microstructure and Mechanical Properties of Graphene-Reinforced Titanium Matrix/Nano-Hydroxyapatite Nanocomposites
Authors: Li Feng , Jiang Xiaosong , Shao Zhenyi , Zhu Degui , Zhu Minhao
Published: April 2018

Biomaterial composites made of titanium and hydroxyapatite (HA) powder are among the most important biomedicalmaterials due to their good mechanical properties and biocompatibility. In this work, graphene-reinforced titanium matrix/nano-hydroxyapatite nanocomposites were prepared by vacuum hot-pressing sintering. The microstructure and mechanical properties of graphene-reinforced titanium matrix/nano-hydroxyapatite nanocomposites with different graphene content were systematically investigated. Microstructures of the nanocomposites were examined by X-ray diffraction (XRD), back scattered electron imaging (BSE), scanning electron microscope (SEM) equipped with energy dispersive spectrometer (EDS), electron probe microanalyzer (EPMA), and transmission electron microscope (TEM). The mechanical properties were determined from microhardness, shear strength, and compressive strength. Results showed that during the high-temperature sintering process, complex chemical reactions occurred, resulting in new phases of nucleation such as Ca3(PO4)2, TixPy, and Ti3O.The new phases, which easily dropped off under the action of external force, could hinder the densification of sintering and increase the brittleness of the nanocomposites. Results demonstrated that graphene had an impact on the microstructure and mechanical properties of the nanocomposites. Based on the mechanical properties and microstructure of the nanocomposites, the strengthening and fracture mechanisms of the graphene-reinforced titanium matrix/nano-hydroxyapatite nanocomposites with different graphene content were analyzed.
The CiCs(SiI)n Defect in Silicon from a Density Functional Theory Perspective
Authors: Christopoulos Stavros-Richard , Sgourou Efstratia , Vovk Ruslan , Chroneos Alexander , Londos Charalampos
Published: April 2018

Carbon constitutes a significant defect in silicon (Si) as it can interact with intrinsic point defects and affect the operation of devices. In heavily irradiated Si containing carbon the initially produced carbon interstitial–carbon substitutional (CiCs) defect can associate with self-interstitials (SiI’s) to form, in the course of irradiation, the CiCs(SiI) defect and further form larger complexes namely, CiCs(SiI)n defects, by the sequential trapping of self-interstitials defects. In the present study, we use density functional theory to clarify the structure and energetics of the CiCs(SiI)n defects. We report that the lowest energy CiCs(SiI) and CiCs(SiI)2 defects are strongly bound with −2.77 and −5.30 eV, respectively.
Development of a Methodology for Condition-Based Maintenance in a Large-Scale Application Field
Authors: Cocconcelli Marco , Capelli Luca , Cavalaglio Camargo Molano Jacopo , Borghi Davide
Published: April 2018

This paper describes a methodology, developed by the authors, for condition monitoring and diagnostics of several critical components in the large-scale applications with machines. For industry, the main target of condition monitoring is to prevent the machine stopping suddenly and thus avoid economic losses due to lack of production. Once the target is reached at a local level, usually through an R&D project, the extension to a large-scale market gives rise to new goals, such as low computational costs for analysis, easily interpretable results by local technicians, collection of data from worldwide machine installations, and the development of historical datasets to improve methodology, etc. This paper details an approach to condition monitoring, developed together with a multinational corporation, that covers all the critical points mentioned above.
Liquid Membranes as a Tool for Chemical Speciation of Metals in Natural Waters: Organic and Inorganic Complexes of Nickel
Authors: Vergel Cristina , Mendiguchía Carolina , Moreno Carlos
Published: April 2018

The different species of nickel present in natural waters exhibit different transport behaviour through bulk liquid membranes (BLMs). This fact has been used to design and optimise a separation/pre-concentration system applicable to separate labile and non-labile nickel fractions. A hydrazone derivative—1,2-cyclohexanedione bis-benzoyl-hydrazone (1,2-CHBBH) dissolved in toluene/dimethyl formamide (2% DMF)—was used as a chemical carrier of nickel species, from an aqueous source solution (sample) to a receiving acidic solution. Both chemical and hydrodynamic conditions controlling the transport system were studied and optimised. Under optimum conditions, variations in the transport of nickel ions as a function of organic (humic acids) and inorganic (chloride ions) ligands were studied. Relationships between the permeability coefficient (P) or recovery efficiency (%R) and the concentrations of ligands and nickel species were analysed using Winhumic V software. A negative correlation between P and the concentration of organic nickel complexes was found, suggesting that only labile nickel species are transported through the liquid membrane, with non-labile complexes remaining in the water sample; allowing for their separation and subsequent quantification in natural waters.
Lauric Acid Hybridizing Fly Ash Composite for Thermal Energy Storage
Authors: Xu Dawei , Yang Huaming , Ouyang Jing , Zhang Yi , Fu Liangjie , Chen Deliang
Published: April 2018

Fly ash includes different mineral phases. This paper reported on the preparation of a novel lauric acid (LA)/fly ash (FA) composite by vacuum impregnation as a form-stable phase change material (PCM) for thermal energy, and especially investigated the effect of the hydrochloric acid-treated fly ash (FAh) on the thermal energy storage performance of the composites. The morphology, crystalline structure, and porous textures of the samples were characterized by scanning electron microscopy (SEM), X-ray diffraction (XRD), Brunauer–Emmett–Teller (BET), X-ray fluorescence (XRF), and differential scanning calorimetry (DSC). The results indicated that hydrochloric acid treatment was beneficial to the increase of loading capacity and crystallinity of LA in the LA/FAh composite, which caused an enhanced thermal storage capacity with latent heats for melting and freezing of LA/FAh (80.94 and 77.39 J/g), higher than those of LA/FA (34.09 and 32.97 J/g), respectively. Furthermore, the mechanism of enhanced thermal storage properties was investigated in detail.
Synthesis of Theaflavins and Their Functions
Authors: Takemoto Masumi , Takemoto Hiroaki
Published: April 2018

Numerous epidemiological and interventional clinical studies have consistently reported that black tea is good for human health. The polyphenolic compound, theaflavin, and its galloyl esters (theaflavins) are the primary red pigments in black tea that possess several health benefits, including fat-reducing and glucose-lowering capabilities and lifestyle-related disease prevention related to anti-obesity, anticancer, anti-atherosclerotic, anti-inflammatory, antiviral, antibacterial, anti-osteoporotic, and anti-dental caries properties. These compounds are produced by key enzymes, such as polyphenol oxidase and peroxidase, from parent green tea catechins present in fresh green tea leaves during the production of black tea leaves or the fermentation of green tea. However, theaflavins are only present in low concentrations in black tea; thus, their extraction from black tea leaves at sufficient levels for use in medical studies has been difficult. To circumvent this issue, different procedures for the synthesis of theaflavins using chemical oxidizing reagents or enzymes have been studied; however, low yields have limited their utility. Recently, however, several biosynthetic methods have been developed for the mass production of theaflavins. Using these methods, the physiological functions of theaflavins in lifestyle-related diseases in mice and humans have also been studied. In this review, we present the synthesis of theaflavins and their health benefits.
Enhancing the Appreciation of Traditional Chinese Painting Using Interactive Technology
Authors: Zhao Shichao , Kirk David , Bowen Simon , Wright Peter
Published: April 2018

In this paper, we present a two-part study. The first part was a cultural appreciation study. Through this study, we explored the specific approach of cross-cultural aesthetic appreciation and mapped out the potential insights for a prototype design. In the second part, we carried out a design-led study. We designed a tablet application and conducted focus group studies to explore the interactive technology that assists in the support of cross-cultural audiences’ aesthetic appreciation and engagement of traditional Chinese painting. Based on these findings, we went on to further explore an approach of interactive engagement which is specific to supporting cross-cultural appreciation, while also reflecting upon the interactive design suggestions for the development of aesthetic appreciation to offer various transferable insights to the Human–Computer Interaction (HCI) community.
Implementation of Safe-by-Design for Nanomaterial Development and Safe Innovation: Why We Need a Comprehensive Approach
Authors: Kraegeloh Annette , Suarez-Merino Blanca , Sluijters Teun , Micheletti Christian
Published: April 2018

Manufactured nanomaterials (MNMs) are regarded as key components of innovations in various fields with high potential impact (e.g., energy generation and storage, electronics, photonics, diagnostics, theranostics, or drug delivery agents). Widespread use of MNMs raises concerns about their safety for humans and the environment, possibly limiting the impact of the nanotechnology-based innovation. The development of safe MNMs and nanoproducts has to result in a safe as well as functional material or product. Its safe use, and disposal at the end of its life cycle must be taken into account too. However, not all MNMs are similarly useful for all applications, some might bear a higher hazard potential than others, and use scenarios could lead to different exposure probabilities. To improve both safety and efficacy of nanotechnology, we think that a new proactive approach is necessary, based on pre-regulatory safety assessment and dialogue between stakeholders. On the basis of the work carried out in different European Union (EU) initiatives, developing and integrating MNMs Safe-by-Design and Trusted Environments (NANoREG, ProSafe, and NanoReg2), we present our point of view here. This concept, when fully developed, will allow for cost effective industrial innovation, and an exchange of key information between regulators and innovators. Regulators are thus informed about incoming innovations in good time, supporting a proactive regulatory action. The final goal is to contribute to the nanotechnology governance, having faster, cheaper, effective, and safer nano-products on the market.
Structure and Magnetism of Mn5Ge3 Nanoparticles
Authors: Tosun Onur , Salehi-Fashami Mohammed , Balasubramanian Balamurugan , Skomski Ralph , Sellmyer David , Hadjipanayis George
Published: April 2018

In this work, we investigated the magnetic and structural properties of isolated Mn5Ge3 nanoparticles prepared by the cluster-beam deposition technique. Particles with sizes between 7.2 and 12.6 nm were produced by varying the argon pressure and power in the cluster gun. X-ray diffraction (XRD)and selected area diffraction (SAD) measurements show that the nanoparticles crystallize in the hexagonal Mn5Si3-type crystal structure, which is also the structure of bulk Mn5Ge3. The temperature dependence of the magnetization shows that the as-made particles are ferromagnetic at room temperature and have slightly different Curie temperatures. Hysteresis-loop measurements show that the saturation magnetization of the nanoparticles increases significantly with particle size, varying from 31 kA/m to 172 kA/m when the particle size increases from 7.2 to 12.6 nm. The magnetocrystalline anisotropy constant K at 50 K, determined by fitting the high-field magnetization data to the law of approach to saturation, also increases with particle size, from 0.4 × 105 J/m3 to 2.9 × 105 J/m3 for the respective sizes. This trend is mirrored by the coercivity at 50 K, which increases from 0.04 T to 0.13 T. A possible explanation for the magnetization trend is a radial Ge concentration gradient.
Inline Determination of Residence Time Distribution in Hot-Melt-Extrusion
Authors: Wesholowski Jens , Berghaus Andreas , Thommes Markus
Published: April 2018

In the framework of Quality-by-Design (QbD), the inline determination of process parameters or quality attributes of a product using sufficient process analytical technology (PAT) is a center piece for the establishment of continuous processes as a standard pharmaceutical technology. In this context, Twin-Screw-Extrusion (TSE) processes, such as Hot-Melt-Extrusion (HME), are one key aspect of current research. The main benefit of this process technology is the combination of different unit operations. Several of these sub-processes are linked to the Residence Time Distribution (RTD) of the material within the apparatus. In this study a UV/Vis spectrophotometer from ColVisTec was tested regarding the suitability for the inline determination of the RTD of an HME process. Two different measuring positions within a co-rotating Twin-Screw-Extruder were compared to an offline HPLC–UV as reference method. The obtained results were overall in good agreement and therefore the inline UV/Vis spectrophotometer is suitable for the determination of the RTD in TSE. An influence of the measuring position on repeatability was found and has to be taken into consideration for the implementation of PATs. An effect of the required amount of marker on process rheology is not likely due to the low Limit-of-Quantification (LoQ).
Does a Consumer-Targeted Deprescribing Intervention Compromise Patient-Healthcare Provider Trust?
Authors: Zhang Yi Zhi , Turner Justin P. , Martin Philippe , Tannenbaum Cara
Published: April 2018

One in four community-dwelling older adults is prescribed an inappropriate medication. Educational interventions aimed at patients to reduce inappropriate medications may cause patients to question their prescriber’s judgment. The objective of this study was to determine whether a patient-focused deprescribing intervention compromised trust between older adults and their healthcare providers. An educational brochure was distributed to community-dwelling older adults by community pharmacists in order to trigger deprescribing conversations. At baseline and 6-months post-intervention, participants completed the Primary Care Assessment Survey, which measures patient trust in doctors and pharmacists. Changes in trust were ascertained post-intervention. Proportions with 95% confidence intervals (CI), and logistic regression were used to determine a shift in trust and associated predictors. 352 participants responded to the questionnaire at both time points. The majority of participants had no change or gained trust in their doctors for items related to the choice of medical care (78.5%, 95% CI = 74.2–82.8), communication transparency (75.4%, 95% CI = 70.7–79.8), and overall trust (81.9%, 95% CI = 77.9–86.0). Similar results were obtained for participants’ perceptions of their pharmacists, with trust remaining intact for items related to the choice of medical care (79.4%, 95% CI = 75.3–83.9), transparency in communicating (82.0%, 95% CI = 78.0–86.1), and overall trust (81.6%, 95% CI = 77.5–85.7). Neither age, sex nor the medication class targeted for deprescribing was associated with a loss of trust. Overall, the results indicate that patient-focused deprescribing interventions do not shift patients’ trust in their healthcare providers in a negative direction.
Comparative Study of Diethylaminoethyl-Chitosan and Methylglycol-Chitosan as Potential Non-Viral Vectors for Gene Therapy
Authors: Raik Sergei , Andranovitš Stanislav , Petrova Valentina , Xu Yingying , Lam Jenny , Morris Gordon , Brodskaia Alexandra , Casettari Luca , Kritchenkov Andreii , Skorik Yury
Published: April 2018

In this paper, we compared the transfection efficiency and cytotoxicity of methylglycol-chitosan (MG-CS) and diethylaminoethyl-chitosan (DEAE-CSI and DEAE-CSII with degrees of substitution of 1.2 and 0.57, respectively) to that of Lipofectamine (used as a reference transfection vector). MG-CS contains quaternary amines to improve DNA binding, whereas the DEAE-CS exhibits pH buffering capability that would ostensibly enhance transfection efficiency by promoting endosomal escape. Gel retardation assays showed that both DEAE-CS and MG-CS bound to DNA at a polysaccharide:DNA mass ratio of 2:1. In Calu-3 cells, the DNA transfection activity was significantly better with MG-CS than with DEAE-CS, and the efficiency improved with increasing polysaccharide:DNA ratios. By contrast, the efficiency of DEAE-CSI and DEAE-CSII was independent of the polysaccharide:DNA ratio. Conversely, in the transfection-recalcitrant JAWSII cells, both Lipofectamine and MG-CS showed significantly lower DNA transfection activity than in Calu-3 cells, whereas the efficiency of DEAE-CSI and DEAE-CSII was similar in both cell lines. The toxicity of DEAE-CS increased with increasing concentrations of the polymer and its degree of substitution, whereas MG-CS demonstrated negligible cytotoxicity, even at the highest concentration studied. Overall, MG-CS proved to be a more efficient and less toxic transfection agent when compared to DEAE-CS.
pH-Sensitive Micelles Based on Star Copolymer Ad-(PCL-b-PDEAEMA-b-PPEGMA)4 for Controlled Drug Delivery
Authors: Yang Huiyan , Guo Jianwei , Tong Rui , Yang Chufen , Chen Jem-Kun
Published: April 2018

Enhancing drug loading efficacy and stability of polymeric micelles remains a grand challenge. Here we develop adamantane-based star copolymers adamantane-[poly(ε-caprolactone)-b-poly(2-(diethylamino)ethyl methacrylate)-b-poly(poly(ethylene glycol) methyl ether methacrylate)]4 (Ad-(PCL-b-PDEAEMA-b-PPEGMA)4) and their self-assembled micelles for controlled drug delivery. Results show that the polymers have excellent stability in solution with low critical micelle concentration (CMC) (0.0025–0.0034 mg/mL) and the apparent base dissociation constant (pKb) of the polymers is from 5.31 to 6.05. Dynamic light scattering analysis exhibits the great environmental response capability of the pH-sensitive micelles according to particle sizes and zeta potentials. With the synergy effect of the adamantane and hydrophobic block, the micelles display the high Doxorubicin (DOX) loading efficacy (up to 22.4%). The DOX release study shows that the micelles are capable of controlled release for drug. This work indicates the Ad-(PCL-b-PDEAEMA-b-PPEGMA)4 micelles may provide new guidelines for drug control and release system in overcoming cancer treatment.
Modelling Filler Dispersion in Elastomers: Relating Filler Morphology to Interface Free Energies via SAXS and TEM Simulation Studies
Authors: Gundlach Norman , Hentschke Reinhard
Published: April 2018

The properties of rubber are strongly influenced by the distribution of filler within the polymer matrix. Here, we introduce a Monte Carlo-based morphology generator. The basic elements of our model are cubic cells, which, in the current version, can be either silica filler particles or rubber volume elements in adjustable proportion. The model allows the assignment of surface free energies to the particles according to whether a surface represents, for instance, ‘naked’ silica or silanised silica. The amount of silanisation is variable. We use a nearest-neighbour site-exchange Monte Carlo algorithm to generate filler morphologies, mimicking flocculation. Transmission electron micrographs (TEM) as well as small angle scattering (SAS) intensities can be calculated along the Monte Carlo trajectory. In this work, we demonstrate the application of our morphology generator in terms of selected examples. We illustrate its potential as a tool for screening studies, relating interface tensions between the components to filler network structure as characterised by TEM and SAS.
I Have Faith in Thee, Lord: Criticism of Religion and Child Abuse in the Video Game the Binding of Isaac
Authors: Bosman Frank G. , Wieringen Archibald L. H. M. van
Published: April 2018

The game The Binding of Isaac is an excellent example of a game that incorporates criticism of religion. Isaac is a roguelike dungeon crawler with randomly generated dungeons. Both from the perspective of narrative and of game design, McMillen built The Binding of Isaac around the Biblical story of Genesis 22:1-19, which has the same name in Jewish and Christian tradition, but he placed it in a modern-day setting in which a young boy is endangered by a mentally disturbed mother who hears “voices from above” that instruct her to sacrifice her only child. Multiple critical references to Christianity can be found in addition to the narrative: hostile embodiments of the seven deadly sins, rosaries, Bibles, and crucifixes, and unlockable characters, such as Mary Magdalene, Judas Iscariot, Samson, and Cain, who are all depicted negatively in both Jewish and Christian traditions. McMillen’s inspiration came from his own experiences with his family, which was made up of both Catholics and born-again Christians. The game describes both the dark creativity and the mental and physical abuse associated with religion. In this article, we analyse the narrative of The Binding of Isaac by performing an intertextual comparison with the Biblical narrative of Genesis 22:1-19. We then analyse the three-fold narrative structure of the game which enhances and nuances the criticism the game directs at religion.
Estimating the Potential Risks of Sea Level Rise for Public and Private Property Ownership, Occupation and Management
Authors: Warren-Myers Georgia , Aschwanden Gideon , Fuerst Franz , Krause Andy
Published: April 2018

The estimation of future sea level rise (SLR) is a major concern for cities near coastlines and river systems. Despite this, current modelling underestimates the future risks of SLR to property. Direct risks posed to property include inundation, loss of physical property and associated economic and social costs. It is also crucial to consider the risks that emerge from scenarios after SLR. These may produce one-off or periodic events that will inflict physical, economic and social implications, and direct, indirect and consequential losses. Using a case study approach, this paper combines various forms of data to examine the implications of future SLR to further understand the potential risks. The research indicates that the financial implications for local government will be loss of rates associated with total property loss and declines in value. The challenges identified are not specific to this research. Other municipalities worldwide experience similar barriers (i.e., financial implications, coastal planning predicaments, data paucity, knowledge and capacity, and legal and political challenges). This research highlights the need for private and public stakeholders to co-develop and implement strategies to mitigate and adapt property to withstand the future challenges of climate change and SLR.
Credit Risk Analysis Using Machine and Deep Learning Models
Authors: Addo Peter , Guegan Dominique , Hassani Bertrand
Published: April 2018

Due to the advanced technology associated with Big Data, data availability and computing power, most banks or lending institutions are renewing their business models. Credit risk predictions, monitoring, model reliability and effective loan processing are key to decision-making and transparency. In this work, we build binary classifiers based on machine and deep learning models on real data in predicting loan default probability. The top 10 important features from these models are selected and then used in the modeling process to test the stability of binary classifiers by comparing their performance on separate data. We observe that the tree-based models are more stable than the models based on multilayer artificial neural networks. This opens several questions relative to the intensive use of deep learning systems in enterprises.
Color-Boosted Saliency-Guided Rotation Invariant Bag of Visual Words Representation with Parameter Transfer for Cross-Domain Scene-Level Classification
Authors: Yan Li , Zhu Ruixi , Liu Yi , Mo Nan
Published: April 2018

Scene classification on remote sensing imagery is usually based on supervised learning but collecting labelled data in remote sensing domains is expensive and time-consuming. Bag of Visual Words (BOVW) achieves great success in scene classification but there exist problems in domain adaptation tasks, such as the influence of background and the rotation transformation on BOVW representation, and the transfer of SVM parameters from the source domain to the target domain, which may lead to decreased cross-domain scene classification performance. In order to solve the three problems, Color-boosted saliency-guided rotation invariant bag of visual words representation with parameter transfer is proposed for cross-domain scene classification. The global contrast-based salient region detection method is combined with the color-boosted method to increase the accuracy of detected salient regions and reduce the effect of background information on the BOVW representation. The rotation invariant BOVW representation is also proposed by sorting the BOVW representation in each patch in order to decrease the effect of rotation transformation. The several best configurations in the source domain are also applied to the target domain so as to reduce the distribution bias between scenes in the source and target domain. These configurations deliver the top classification performance the optimal parameter in the target domain. The experimental results on two benchmark datasets confirm that the proposed method outperforms most previous methods in scene classification when instances in the target domain are limited. It is also proved that color boosted global contrast-based salient region detection (CBGCSRD) method, rotation invariant BOVW representation, and transfer of SVM parameters from the source to the target domain are all effective in improving the classification accuracy with 2.5%, 3.3%, and 3.1%. These three contributions may increase about 7.5% classification accuracy in total.
An Embedded Sensory System for Worker Safety: Prototype Development and Evaluation
Authors: Cho Chunhee , Park JeeWoong
Published: April 2018

At a construction site, workers mainly rely on two senses, which are sight and sound, in order to perceive their physical surroundings. However, they are often hindered by the nature of most construction sites, which are usually dynamic, loud, and complicated. To overcome these challenges, this research explored a method using an embedded sensory system that might offer construction workers an artificial sensing ability to better perceive their surroundings. This study identified three parameters (i.e., intensity, signal length, and delay between consecutive pulses) needed for tactile-based signals for the construction workers to communicate quickly. We developed a prototype system based on these parameters, conducted experimental studies to quantify and validate the sensitivity of the parameters for quick communication, and analyzed test data to reveal what was added by this method in order to perceive information from the tactile signals. The findings disclosed that the parameters of tactile-based signals and their distinguishable ranges could be perceived in a short amount of time (i.e., a fraction of a second). Further experimentation demonstrated the capability of the identified unit signals combined with a signal mapping technique to effectively deliver simple information to individuals and offer an additional sense of awareness to the surroundings. The findings of this study could serve as a basis for future research in exploring advanced tactile-based messages to overcome challenges in environments for which communication is a struggle.
Comparative Analysis of Warp Function for Digital Image Correlation-Based Accurate Single-Shot 3D Shape Measurement
Authors: Yang Xiao , Chen Xiaobo , Xi Juntong
Published: April 2018

Digital image correlation (DIC)-based stereo 3D shape measurement is a kind of single-shot method, which can achieve high precision and is robust to vibration as well as environment noise. The efficiency of DIC has been greatly improved with the proposal of inverse compositional Gauss-Newton (IC-GN) operators for both first-order and second-order warp functions. Without the algorithm itself, both the registration accuracy and efficiency of DIC-based stereo matching for shapes with different complexities are closely related to the selection of warp function, subset size, and convergence criteria. Understanding the similarity and difference of the impacts of prescribed subset size and convergence criteria on first-order and second-order warp functions, and how to choose a proper warp function and set optimal subset size as well as convergence criteria for different shapes are fundamental problems in realizing efficient and accurate 3D shape measurement. In this work, we present a comparative analysis of first-order and second-order warp functions for DIC-based 3D shape measurement using IC-GN algorithm. The effects of subset size and convergence criteria of first-order and second-order warp functions on the accuracy and efficiency of DIC are comparatively examined with both simulation tests and real experiments. Reference standards for the selection of warp function for different kinds of 3D shape measurement and the setting of proper convergence criteria are recommended. The effects of subset size on the measuring precision using different warp functions are also concluded.
Multi-Fault Diagnosis of Rolling Bearings via Adaptive Projection Intrinsically Transformed Multivariate Empirical Mode Decomposition and High Order Singular Value Decomposition
Authors: Yuan Rui , Lv Yong , Song Gangbing
Published: April 2018

Rolling bearings are important components in rotary machinery systems. In the field of multi-fault diagnosis of rolling bearings, the vibration signal collected from single channels tends to miss some fault characteristic information. Using multiple sensors to collect signals at different locations on the machine to obtain multivariate signal can remedy this problem. The adverse effect of a power imbalance between the various channels is inevitable, and unfavorable for multivariate signal processing. As a useful, multivariate signal processing method, Adaptive-projection has intrinsically transformed multivariate empirical mode decomposition (APIT-MEMD), and exhibits better performance than MEMD by adopting adaptive projection strategy in order to alleviate power imbalances. The filter bank properties of APIT-MEMD are also adopted to enable more accurate and stable intrinsic mode functions (IMFs), and to ease mode mixing problems in multi-fault frequency extractions. By aligning IMF sets into a third order tensor, high order singular value decomposition (HOSVD) can be employed to estimate the fault number. The fault correlation factor (FCF) analysis is used to conduct correlation analysis, in order to determine effective IMFs; the characteristic frequencies of multi-faults can then be extracted. Numerical simulations and the application of multi-fault situation can demonstrate that the proposed method is promising in multi-fault diagnoses of multivariate rolling bearing signal.
Automated Quality Control for Sensor Based Symptom Measurement Performed Outside the Lab
Authors: Badawy Reham , Raykov Yordan P. , Evers Luc J. W. , Bloem Bastiaan R. , Faber Marjan J. , Zhan Andong , Claes Kasper , Little Max A.
Published: April 2018

The use of wearable sensing technology for objective, non-invasive and remote clinimetric testing of symptoms has considerable potential. However, the accuracy achievable with such technology is highly reliant on separating the useful from irrelevant sensor data. Monitoring patient symptoms using digital sensors outside of controlled, clinical lab settings creates a variety of practical challenges, such as recording unexpected user behaviors. These behaviors often violate the assumptions of clinimetric testing protocols, where these protocols are designed to probe for specific symptoms. Such violations are frequent outside the lab and affect the accuracy of the subsequent data analysis and scientific conclusions. To address these problems, we report on a unified algorithmic framework for automated sensor data quality control, which can identify those parts of the sensor data that are sufficiently reliable for further analysis. Combining both parametric and nonparametric signal processing and machine learning techniques, we demonstrate that across 100 subjects and 300 clinimetric tests from three different types of behavioral clinimetric protocols, the system shows an average segmentation accuracy of around 90%. By extracting reliable sensor data, it is possible to strip the data of confounding factors in the environment that may threaten reproducibility and replicability.
Development of a 2 MHz Sonar Sensor for Inspection of Bridge Substructures
Authors: Park Chul , Kim Youngseok , Lee Heungsu , Choi Sangsik , Jung Haewook
Published: April 2018

Hydraulic factors account for a large part of the causes of bridge collapse. Due to the nature of the underwater environment, quick and accurate inspection is required when damage occurs. In this study, we developed a 2 MHz side scan sonar sensor module and effective operation technique by improving the limitations of existing sonar. Through field tests, we analyzed the correlation of factors affecting the resolution of the sonar data such as the angle of survey, the distance from the underwater structure and the water depth. The effect of the distance and the water depth and the structure on the survey angle was 66~82%. We also derived the relationship between these factors as a regression model for effective operating techniques. It is considered that application of the developed 2 MHz side scan sonar and its operation method could contribute to prevention of bridge collapses and disasters by quickly and accurately checking the damage of bridge substructures due to hydraulic factors.
Electrochemical Determination of Norepinephrine by Means of Modified Glassy Carbon Electrodes with Carbon Nanotubes and Magnetic Nanoparticles of Cobalt Ferrite
Authors: Queiroz Daniely Ferreira de , Dadamos Tony Rogério de Lima , Machado Sergio Antonio Spinola , Martines Marco Antonio Utrera
Published: April 2018

This study describes the electrochemical preparation of the electrocatalytic oxidation/reduction of noradrenaline in modified glassy carbon of cobalt ferrite nanoparticles and carbon nanotubes (GC/MWCNT/FCo98). The cobalt ferrite powder was characterized by X-ray diffraction (XRD) and transmission electron microscopy (TEM). The optimum conditions found in an electrode composition were 4 μL of cobalt ferrite and 10 μL of carbon nanotubes in 0.1 mol L−1 PBS at pH 7.0. The electrode displays electrochemical behavior in a wide potential range (−0.4 to 1.0 V vs. Ag/AgCl), high conductivity, and electrode stability/durability in 0.1 mol L−1 PBS. Catalytic oxidation of noradrenaline was performed at the unmodified GC electrode at +0.60 V vs. Ag/AgCl and current of 0.17 μA and modified GC with cobalt ferrite nanoparticles and carbon nanotubes at +0.54 V vs. Ag/AgCl and current of 0.23 mA. With regard to the anodic peak current (Ipa) versus noradrenaline concentration by means of the amperometric method at the modified electrode, (which is linear in the 0.16 and 1.91 mmol L−1 concentration range), the concentration limit was 0.76 μmol L−1. In this way, the modified electrode GC/MWCNT/FCo98 was found to be a promising application for the determination of this neurotransmitter in the area of neuroscience.
Point of Zero Charge: Role in Pyromorphite Formation and Bioaccessibility of Lead and Arsenic in Phosphate-Amended Soils
Authors: Karna Ranju , Noerpel Matthew , Luxton Todd , Scheckel Kirk
Published: April 2018

Soluble lead (Pb) can be immobilized in pure systems as pyromorphite through the addition of phosphorus (P) sources; however, uncertainties remain in natural systems. Knowledge of point zero charge (PZC) is important to predict the ionization of functional groups and their interaction with metal species in solution. This study utilized Pb- and As-contaminated soils to determine the combined effect of pH with respect to PZC and different rates of P-application on pyromorphite formation as well as Pb and arsenic (As) bioaccessibility as impacted by speciation changes. Solution chemistry analysis along with synchrotron-based Pb- and As-speciation as well as bioaccessibility treatment effect ratios (TERs) were conducted. Results indicated no significant effect of PZC on pyromorphite formation in P-amended soils; however, the TERPb appeared significantly lower at pH > pHPZC and higher at pH < pHPZC (α = 0.05). In contrast, the TERAs was significantly higher at pH > pHPZC compared to the other two treatments for the tested soils. The lack of conversion of soil Pb to pyromorphite may be attributed to several reasons including the presence of highly stable minerals, such as plumbojarosite, limiting soluble Pb availability to react with phosphates, high Fe and S content in IKS, high organic matter in BO, and high Ca content in NW.
Travel Mode and Travel Route Choice Behavior Based on Random Regret Minimization: A Systematic Review
Authors: Jing Peng , Zhao Mengxuan , He Meiling , Chen Long
Published: April 2018

In recent years, traffic congestion has become increasingly serious and the urban environment has deteriorated, posing a challenge to the modern sustainable transportation system. Sustainable travel behavior is a solution that many scholars recognize as being an important aspect in the development of socially, environmentally, and economically sustainable communities. Increasing numbers of studies analyzed the travel choice behavior based on Random Regret-Minimization (RRM) model. RRM considers multiple attribute compromises to capture the traveler’s choice behavior based on minimizing the perceived regret decision criteria. Travel route choice and travel mode choice are interrelated and mutual restraint when a traveler makes a travel decision. To our knowledge, there are limited literatures that overall considered travel mode and travel route choice behavior based on RRM at present. This paper aims to fill this gap and presents a literature review for the application of RRM on sustainable travel mode and travel route choice behavior from empirical issues, influencing factors, theories and methods to evaluate RRM’s potential and limitations as a discrete model of travel choice behavior. The results will provide reference for researchers to study this field and develop novel strategies to promote the sustainable traffic system in the future.
Assessment of the Technological Changes Impact on the Sustainability of State Security System of Ukraine
Authors: Yemelyanov Olexandr , Symak Anastasiya , Petrushka Tetyana , Lesyk Roman , Lesyk Lilia
Published: April 2018

Currently, the governments of many countries are facing with a lack of funds for financing programs for social protection of population. Among the causes of this problem, we can indicate the high unemployment rate, which, among other things, is due to implementation of labor-saving technologies. The purpose of this work is to study the impact of technological changes on the sustainability of the state social security system in Ukraine. The general approaches to the assessment of the stability of the state social security system are described. The simulation of the effect of economically efficient technological changes on the company’s income and expenses was carried out. Some patterns of such changes are established. The group of productive technological changes types is presented. The model is developed, and an indicator of the impact estimation of efficiently effective technological changes on the stability of the state social security system is proposed. The analysis of the main indicators of the state social security system functioning of Ukraine is carried out. The dynamics of indicators characterizing the labor market of Ukraine is analyzed. The influence of changes in labor productivity on costs and profits by industries of Ukraine is estimated. The evaluation of the impact of economically efficient technological changes in the industries of Ukraine on the stability of its state social security system is carried out. The different state authorities can use the obtained results for developing measures to manage the sustainability of the state social security system.
The Effect of Quality Attributes on Visiting Consumers’ Patronage Intentions of Green Restaurants
Authors: Yu Yi , Luo Min , Zhu Dong
Published: April 2018

Green consumption has become increasingly popular. More and more green restaurants are entering the market. The development of mobile Internet and the application of location-based services leads customers to easily visit several restaurants before making choice. Retaining a visiting customer is very important to green restaurants in the mobile Internet era. This paper develops a theoretical model to explore how the food-related, service-related and ambiance-related attributes of green restaurants influence the confirmation of expectations regarding restaurant quality and subsequent patronage intentions of visiting consumers in the context of location-based recommendations. The theoretical model is tested using the partial least squares method. The results show that the confirmation of expectations of food quality is determined by food presentation, variety and freshness; the confirmation of expectations of service quality is determined by employees and service; and the confirmation of expectations of ambiance quality is determined by cleanliness, design and décor, in terms of a positive effect on the patronage intention of visiting consumers of green restaurants making use of location-based recommendations. Finally, theoretical and practical implications are discussed.
Assessing Climate Finance Readiness in the Asia-Pacific Region
Authors: Samuwai Jale , Hills Jeremy Maxwell
Published: April 2018

Readiness is the current mantra in the climate finance discourse and is a key determinant for accessing climate finance. This study develops and applies an analytical 3-dimensional framework to appraise climate finance readiness in selected Asia-Pacific countries. Three dimensions of readiness are identified: (1) Policies and Institutions, (2) Knowledge Management and Learning, and (3) Fiscal Policy Environment. Using the Climate Public Expenditure and Institutional Review as the basis for such framework, the study uncovers a massive readiness gap between countries in the Asian sub-region and those in the Pacific sub-region. The study also found that readiness has a predictable, yet small, impact on the magnitude of climate finance accessed. This suggests that improving readiness alone is not sufficient to unlock climate finance, as access to climate finance is to a larger extent determined by other factors; this is critical to shaping readiness endeavors for the Pacific Small Island Developing States (PSIDS), as well as for donors. This study argues for a re-think in the PSIDS current readiness approach, reducing emphasis on multilateral and private flows and diversifying through practical and uncomplicated bilateral and remittance sources. These two sources of finances have a good track record of consistently mobilizing external finance to PSIDS despite their climate finance readiness status. Broadening readiness efforts towards these two alternative funding sources extends the feasibility of the current readiness approach. The present direction of climate finance readiness offers a continuing access dilemma to many of the PSIDS, especially the poorest and most vulnerable.
Agricultural Commodities and Crude Oil Prices: An Empirical Investigation of Their Relationship
Authors: Zafeiriou Eleni , Arabatzis Garyfallos , Karanikola Paraskevi , Tampakis Stilianos , Tsiantikoudis Stavros
Published: April 2018

Within the last few decades, the extended use of biodiesel and bioethanol has established interlinkages between energy markets and agricultural commodity markets. The present work examines the bivariate relationships of crude oil–corn and crude oil–soybean futures prices with the assistance of the ARDL cointegration approach. Our findings confirm that crude oil prices affect the prices of agricultural products used in the production of biodiesel, as well as of ethanol, validating the interaction of energy and agricultural commodity markets. The practical value of the present work is that the findings provide policy makers with insight into the interlinkages between agricultural and energy markets to promote biodiesel or bioethanol by affecting crude oil prices. The novelty of the present work stands on the use of futures prices that incorporate all available information and thus are more appropriate to identify supply and demand shocks and price spillovers than real prices. Finally, the period of study includes extremely low, as well as extremely high, crude oil prices and the results illustrate that biofuels cannot be substituted for crude oil and protect economies from energy volatility.
Is the Development of China’s Financial Inclusion Sustainable? Evidence from a Perspective of Balance
Authors: Zhu Bao , Zhai Shiting , He Jing
Published: April 2018

Balance plays an important role in the sustainable development of China’s financial inclusion. First, this paper reports the entropy weight method used to construct a financial inclusion index (FII) and measure the level of development of financial inclusion in China’s regions. Second, the concept of the Gini coefficient of financial inclusion is proposed and the structural balance of China’s financial inclusion is shown, as calculated by using this Gini coefficient. Third, we report the use of a dynamic shift-share model to further discuss the development balance of the financial inclusion of China’s regions. The results show that there is an imbalance in the development of financial inclusion in China’s regions. For 2006–2016, the Gini coefficient and the structural balance of China’s financial inclusion show a significant downward trend. The gap of the financial inclusion development between regions is narrowing and the structure of China’s financial inclusion tends to be reasonable. The penetration dimension is at a structural disadvantage. Availability and usage dimension are at a structural advantage, which can effectively promote the development of China’s financial inclusion. In the future, the government should establish a more balanced financial inclusion development mechanism, making full use of structural advantages of the availability and usage of financial services to promote the sustainable development of China’s financial inclusion.
New Similarity Solutions of a Generalized Variable-Coefficient Gardner Equation with Forcing Term
Authors: Zhou Jianping , Wang Yuan , Wang Yang , Yan Zhilian , Wang Zhen
Published: April 2018

The compatibility method is used for a generalized variable-coefficient Gardner equation (GVGE) with a forcing term. By the compatibility of the considered equation and a non-classical symmetry of a given form, four types of symmetry are obtained. Then, by solving the characteristic equations of symmetry, the GVGE is reduced to variable coefficients ordinary differential equations, and rich varieties of new similarity solutions are presented. Our results show that the compatibility method can be employed for variable coefficients nonlinear evolution equations with forcing terms.