bluuebunny/crossref_metadata_2025 huggingface dataset:
The Role of Immunonutrients in the Prevention of Necrotizing Enterocolitis in Preterm Very Low Birth Weight Infants
Authors: Zhou Ping , Li Yanqi , Ma Li-Ya , Lin Hung-Chih
Published: September 2015

Necrotizing enterocolitis (NEC) is a critical intestinal emergency condition, which mainly occurs in preterm very low birth weight (PVLBW) infants. Despite remarkable advances in the care of PVLBW infants, with considerable improvement of the survival rate in recent decades, the incidence of NEC and NEC-related mortality have not declined accordingly. The fast progression from nonspecific signs to extensive necrosis also makes primary prevention the first priority. Recently, increasing evidence has indicated the important role of several nutrients in primary prevention of NEC. Therefore, the aim of this review is to summarize some potential immunomodulatory nutrients in the prevention of NEC, including bovine colostrum, probiotics, prebiotics (e.g., human milk oligosaccharides), long chain polyunsaturated fatty acids, and amino acids (glutamine, cysteine and N-acetylcysteine, l-arginine and l-citrulline). Based on current research evidence, probiotics are the most documented effective method to prevent NEC, while others still require further investigation in animal studies and clinical randomized controlled trials.
Transcultural Diabetes Nutrition Algorithm: Brazilian Application
Authors: Moura Fabio , Salles João , Hamdy Osama , Coutinho Walmir , Baptista Deise , Benchimol Alexander , Marchetti Albert , Hegazi Refaat , Mechanick Jeffrey
Published: September 2015

The prevalence of obesity, pre-diabetes, and type 2 diabetes (T2D) is increasing worldwide, especially in the developing nations of South America. Brazil has experienced an exponential increase in the prevalence of these chronic non-communicable diseases. The rising prevalence is probably due to changing eating patterns, sedentary living, and a progressive aging of the population. These trends and their underlying causes carry untoward consequences for all Brazilians and the future of Brazilian public health and the healthcare system. Lifestyle changes that include healthy eating (nutrition therapy) and regular physical activity (structured exercise) represent efficient inexpensive measures to prevent and/or treat the aforementioned disorders and are recommended for all afflicted patients. Regrettably, the implementation of lifestyle changes is fraught with clinical and personal challenges in real life. The transcultural Diabetes Nutrition Algorithm (tDNA) is a therapeutic tool intended to foster implementation of lifestyle recommendations and to improve disease-related outcomes in common clinical settings. It is evidence-based and amenable to cultural adaptation. The Brazilian Diabetes Association, Society of Cardiology and Ministry of Health guidelines for nutrition therapy and physical exercise were considered for the Brazilian adaptation. The resultant tDNA-Brazil and its underlying recommendations are presented and explained.
Potential Use of Biological Proteins for Liver Failure Therapy
Authors: Taguchi Kazuaki , Yamasaki Keishi , Seo Hakaru , Otagiri Masaki
Published: September 2015

Biological proteins have unlimited potential for use as pharmaceutical products due to their various biological activities, which include non-toxicity, biocompatibility, and biodegradability. Recent scientific advances allow for the development of novel innovative protein-based products that draw on the quality of their innate biological activities. Some of them hold promising potential for novel therapeutic agents/devices for addressing hepatic diseases such as hepatitis, fibrosis, and hepatocarcinomas. This review attempts to provide an overview of the development of protein-based products that take advantage of their biological activity for medication, and discusses possibilities for the therapeutic potential of protein-based products produced through different approaches to specifically target the liver (or hepatic cells: hepatocytes, hepatic stellate cells, liver sinusoidal endothelial cells, and Kupffer cells) in the treatment of hepatic diseases.
Characteristics of the Current-Controlled Phase Transition of VO2 Microwires for Hybrid Optoelectronic Devices
Authors: Joushaghani Arash , Jeong Junho , Paradis Suzanne , Alain David , Aitchison J. , Poon Joyce
Published: September 2015

The optical and electrical characteristics of the insulator-metal phase transition of vanadium dioxide (VO2) enable the realization of power-efficient, miniaturized hybrid optoelectronic devices. This work studies the current-controlled, two-step insulator-metal phase transition of VO2 in varying microwire geometries. Geometry-dependent scaling trends extracted from current-voltage measurements show that the first step induced by carrier injection is delocalized over the microwire, while the second, thermally-induced step is localized to a filament about 1 to 2 μm wide for 100 nm-thick sputtered VO2 films on SiO2. These effects are confirmed by direct infrared imaging, which also measures the change in optical absorption in the two steps. The difference between the threshold currents of the two steps increases as the microwires are narrowed. Micron- and sub-micron-wide VO2 structures can be used to separate the two phase transition steps in photonic and electronic devices.
Comparative Framework for Understanding Jewish and Christian Violent Fundamentalism
Authors: Perliger Arie
Published: September 2015

Although most scholars agree that in the last couple of decades, religious fundamentalism has become the dominant ideological feature in the landscape of modern terrorism, many prefer to ignore the fact that this is not a development which is restricted to the Islamic world, and that other religious traditions have also experienced growth in groups which prefer to use violent strategies to promote their sacred visions. The current chapter strives to fill this gap by analyzing the emergence of violent religious groups in two distinct, non-Islamic, religious traditions. At first glance, the Christian Identity and the Religious-Zionist movements have very little in common. However, both movements served as a breeding ground for the emergence of violent fundamentalist groups aspiring to facilitate an apocalyptic/redemption scenario by engaging in illegal violent campaigns. Moreover, in both cases, the role of spiritual leaders was crucial in shaping the radicalization of the groups and their target selection, and the violence had a clear symbolic narrative. In other words, for the members of these violent groups, the violence served a clear role in the mobilization of potential supporters, and the branding and dissemination of the movement's ideology. Finally, while in general, terrorism is perceived as the weapon of the weak, in these two cases it was perpetrated by individuals/groups affiliated to communities belonging to the dominant religious framework in their respective polities (i.e., the Religious-Zionist and Christian Identity movements are perceived by their members as branches of Judaism and Christianity). Hence, by utilizing a comparative framework, the article will not just analyze the violent manifestations that emerged from these two movements, but also try to identify the unique factors that characterize and facilitate the emergence of religious groups within religious communities belonging to the dominant religious tradition in their societies.
Evaluation of Water Use Efficiency Derived from MODIS Products against Eddy Variance Measurements in China
Authors: Zhang Li , Tian Jing , He Honglin , Ren Xiaoli , Sun Xiaomin , Yu Guirui , Lu Qianqian , Lv Linyu
Published: September 2015

Water use efficiency (WUE) is a useful indicator to illustrate the interaction of carbon and water cycles in terrestrial ecosystems. MODIS gross primary production (GPP) and evapotranspiration (ET) products have been used to analyze the spatial and temporal patterns of WUE and their relationships with environmental factors at regional and global scales. Although MODIS GPP and ET products have been evaluated using eddy covariance flux measurements, the accuracy of WUE estimated from MODIS products has not been well quantified. In this paper, we evaluated WUE estimated from MODIS GPP and ET products against eddy covariance measurements of GPP and ET during 2003–2008 at eight sites of the Chinese flux observation and research network (ChinaFLUX) and conducted sensitivity analysis to investigate the possible key contributors to the bias of MODIS products. Results show that MODIS products underestimate eight-day water use efficiency in four forest ecosystems and one cropland ecosystem with the bias from −0.36–−2.28 g·C·kg−1 H2O, while overestimating it in three grassland ecosystems with the bias from 0.26–1.11 g·C·kg−1 H2O. Mean annual WUE was underestimated by 14%–54% at four forest sites, 45% at one cropland site and 7% at an alpine grassland site, but overestimated by 66% and 9% at a temperate grassland site and an alpine meadow site, respectively. The underestimation of WUE by MODIS data results from underestimated GPP and overestimated ET at four forest sites, while MODIS WUE values are significantly overvalued mainly due to underestimated ET in the three grassland ecosystems. The maximum light use efficiency and fraction of photosynthetically-active radiation (FPAR) were the two most sensitive factors to the estimation of WUE derived from the MODIS GPP and ET algorithms. The error in meteorological data partly caused the overestimation of ET and accordingly underestimation in WUE in subtropical and tropical forests. The bias of MODIS-produced WUE was also derived from the uncertainties in eddy flux data due to gap-filling processes and unbalanced surface energy issue. Their contributions to the uncertainty in estimated WUE at both eight-day and annual scales still need to be further quantified.
Inferring Human Activity in Mobile Devices by Computing Multiple Contexts
Authors: Chen Ruizhi , Chu Tianxing , Liu Keqiang , Liu Jingbin , Chen Yuwei
Published: September 2015

This paper introduces a framework for inferring human activities in mobile devices by computing spatial contexts, temporal contexts, spatiotemporal contexts, and user contexts. A spatial context is a significant location that is defined as a geofence, which can be a node associated with a circle, or a polygon; a temporal context contains time-related information that can be e.g., a local time tag, a time difference between geographical locations, or a timespan; a spatiotemporal context is defined as a dwelling length at a particular spatial context; and a user context includes user-related information that can be the user’s mobility contexts, environmental contexts, psychological contexts or social contexts. Using the measurements of the built-in sensors and radio signals in mobile devices, we can snapshot a contextual tuple for every second including aforementioned contexts. Giving a contextual tuple, the framework evaluates the posteriori probability of each candidate activity in real-time using a Naïve Bayes classifier. A large dataset containing 710,436 contextual tuples has been recorded for one week from an experiment carried out at Texas A&M University Corpus Christi with three participants. The test results demonstrate that the multi-context solution significantly outperforms the spatial-context-only solution. A classification accuracy of 61.7% is achieved for the spatial-context-only solution, while 88.8% is achieved for the multi-context solution.
Enhanced Vibrational Spectroscopies as Tools for Small Molecule Biosensing
Authors: Boujday Souhir , Chapelle Marc , Srajer Johannes , Knoll Wolfgang
Published: September 2015

In this short summary we summarize some of the latest developments in vibrational spectroscopic tools applied for the sensing of (small) molecules and biomolecules in a label-free mode of operation. We first introduce various concepts for the enhancement of InfraRed spectroscopic techniques, including the principles of Attenuated Total Reflection InfraRed (ATR-IR), (phase-modulated) InfraRed Reflection Absorption Spectroscopy (IRRAS/PM-IRRAS), and Surface Enhanced Infrared Reflection Absorption Spectroscopy (SEIRAS). Particular attention is put on the use of novel nanostructured substrates that allow for the excitation of propagating and localized surface plasmon modes aimed at operating additional enhancement mechanisms. This is then be complemented by the description of the latest development in Surface- and Tip-Enhanced Raman Spectroscopies, again with an emphasis on the detection of small molecules or bioanalytes.
A Ratiometric Wavelength Measurement Based on a Silicon-on-Insulator Directional Coupler Integrated Device
Authors: Wang Pengfei , Hatta Agus , Zhao Haoyu , Zheng Jie , Farrell Gerald , Brambilla Gilberto
Published: September 2015

A ratiometric wavelength measurement based on a Silicon-on-Insulator (SOI) integrated device is proposed and designed, which consists of directional couplers acting as two edge filters with opposite spectral responses. The optimal separation distance between two parallel silicon waveguides and the interaction length of the directional coupler are designed to meet the desired spectral response by using local supermodes. The wavelength discrimination ability of the designed ratiometric structure is demonstrated by a beam propagation method numerically and then is verified experimentally. The experimental results have shown a general agreement with the theoretical models. The ratiometric wavelength system demonstrates a resolution of better than 50 pm at a wavelength around 1550 nm with ease of assembly and calibration.
Knowledge-Based Query Construction Using the CDSS Knowledge Base for Efficient Evidence Retrieval
Authors: Afzal Muhammad , Hussain Maqbool , Ali Taqdir , Hussain Jamil , Khan Wajahat , Lee Sungyoung , Kang Byeong
Published: September 2015

Finding appropriate evidence to support clinical practices is always challenging, and the construction of a query to retrieve such evidence is a fundamental step. Typically, evidence is found using manual or semi-automatic methods, which are time-consuming and sometimes make it difficult to construct knowledge-based complex queries. To overcome the difficulty in constructing knowledge-based complex queries, we utilized the knowledge base (KB) of the clinical decision support system (CDSS), which has the potential to provide sufficient contextual information. To automatically construct knowledge-based complex queries, we designed methods to parse rule structure in KB of CDSS in order to determine an executable path and extract the terms by parsing the control structures and logic connectives used in the logic. The automatically constructed knowledge-based complex queries were executed on the PubMed search service to evaluate the results on the reduction of retrieved citations with high relevance. The average number of citations was reduced from 56,249 citations to 330 citations with the knowledge-based query construction approach, and relevance increased from 1 term to 6 terms on average. The ability to automatically retrieve relevant evidence maximizes efficiency for clinicians in terms of time, based on feedback collected from clinicians. This approach is generally useful in evidence-based medicine, especially in ambient assisted living environments where automation is highly important.
Transferring Data from Smartwatch to Smartphone through Mechanical Wave Propagation
Authors: Kim Seung-Chan , Lim Soo-Chul
Published: September 2015

Inspired by the mechanisms of bone conduction transmission, we present a novel sensor and actuation system that enables a smartwatch to securely communicate with a peripheral touch device, such as a smartphone. Our system regards hand structures as a mechanical waveguide that transmits particular signals through mechanical waves. As a signal, we used high-frequency vibrations (18.0–20.0 kHz) so that users cannot sense the signals either tactually or audibly. To this end, we adopted a commercial surface transducer, which is originally developed as a bone-conduction actuator, for mechanical signal generation. At the receiver side, a piezoelement was adopted for picking up the transferred mechanical signals. Experimental results have shown that the proposed system can successfully transfer data using mechanical waves. We also validate dual-frequency actuations under which high-frequency signals (18.0–20.0 kHz) are generated along with low-frequency (up to 250 Hz) haptic vibrations. The proposed method has advantages in terms of security in that it does not reveal the signals outside the body, meaning that it is not possible for attackers to eavesdrop on the signals. To further illustrate the possible application spaces, we conclude with explorations of the proposed approach.
Biomedical Probes Based on Inorganic Nanoparticles for Electrochemical and Optical Spectroscopy Applications
Authors: Yakoh Abdulhadee , Pinyorospathum Chanika , Siangproh Weena , Chailapakul Orawon
Published: September 2015

Inorganic nanoparticles usually provide novel and unique physical properties as their size approaches nanometer scale dimensions. The unique physical and optical properties of nanoparticles may lead to applications in a variety of areas, including biomedical detection. Therefore, current research is now increasingly focused on the use of the high surface-to-volume ratios of nanoparticles to fabricate superb chemical- or biosensors for various detection applications. This article highlights various kinds of inorganic nanoparticles, including metal nanoparticles, magnetic nanoparticles, nanocomposites, and semiconductor nanoparticles that can be perceived as useful materials for biomedical probes and points to the outstanding results arising from their use in such probes. The progress in the use of inorganic nanoparticle-based electrochemical, colorimetric and spectrophotometric detection in recent applications, especially bioanalysis, and the main functions of inorganic nanoparticles in detection are reviewed. The article begins with a conceptual discussion of nanoparticles according to types, followed by numerous applications to analytes including biomolecules, disease markers, and pharmaceutical substances. Most of the references cited herein, dating from 2010 to 2015, generally mention one or more of the following characteristics: a low detection limit, good signal amplification and simultaneous detection capabilities.
Mach-Zehnder Interferometer Biochemical Sensor Based on Silicon-on-Insulator Rib Waveguide with Large Cross Section
Authors: Yuan Dengpeng , Dong Ying , Liu Yujin , Li Tianjian
Published: September 2015

A high-sensitivity Mach-Zehnder interferometer (MZI) biochemical sensing platform based on Silicon-in-insulator (SOI) rib waveguide with large cross section is proposed in this paper. Based on the analyses of the evanescent field intensity, the mode polarization and cross section dimensions of the SOI rib waveguide are optimized through finite difference method (FDM) simulation. To realize high-resolution MZI read-out configuration based on the SOI rib waveguide, medium-filled trenches are employed and their performances are simulated through two-dimensional finite-difference-time domain (2D-FDTD) method. With the fundamental EH-polarized mode of the SOI rib waveguide with a total rib height of 10 μm, an outside rib height of 5 μm and a rib width of 2.5 μm at the operating wavelength of 1550 nm, when the length of the sensitive window in the MZI configuration is 10 mm, a homogeneous sensitivity of 7296.6%/refractive index unit (RIU) is obtained. Supposing the resolutions of the photoelectric detectors connected to the output ports are 0.2%, the MZI sensor can achieve a detection limit of 2.74 × 10−6 RIU. Due to high coupling efficiency of SOI rib waveguide with large cross section with standard single-mode glass optical fiber, the proposed MZI sensing platform can be conveniently integrated with optical fiber communication systems and (opto-) electronic systems, and therefore has the potential to realize remote sensing, in situ real-time detecting, and possible applications in the internet of things.
0.5 V and 0.43 pJ/bit Capacitive Sensor Interface for Passive Wireless Sensor Systems
Authors: Beriain Andoni , Gutierrez Iñigo , Solar Hector , Berenguer Roc
Published: September 2015

This paper presents an ultra low-power and low-voltage pulse-width modulation based ratiometric capacitive sensor interface. The interface was designed and fabricated in a standard 90 nm CMOS 1P9M technology. The measurements show an effective resolution of 10 bits using 0.5 V of supply voltage. The active occupied area is only 0.0045 mm2 and the Figure of Merit (FOM), which takes into account the energy required per conversion bit, is 0.43 pJ/bit. Furthermore, the results show low sensitivity to PVT variations due to the proposed ratiometric architecture. In addition, the sensor interface was connected to a commercial pressure transducer and the measurements of the resulting complete pressure sensor show a FOM of 0.226 pJ/bit with an effective linear resolution of 7.64 bits. The results validate the use of the proposed interface as part of a pressure sensor, and its low-power and low-voltage characteristics make it suitable for wireless sensor networks and low power consumer electronics.
Low-Actuation Voltage MEMS Digital-to-Analog Converter with Parylene Spring Structures
Authors: Ma Cheng-Wen , Lee Fu-Wei , Liao Hsin-Hung , Kuo Wen-Cheng , Yang Yao-Joe
Published: September 2015

We propose an electrostatically-actuated microelectromechanical digital-to-analog converter (M-DAC) device with low actuation voltage. The spring structures of the silicon-based M-DAC device were monolithically fabricated using parylene-C. Because the Young’s modulus of parylene-C is considerably lower than that of silicon, the electrostatic microactuators in the proposed device require much lower actuation voltages. The actuation voltage of the proposed M-DAC device is approximately 6 V, which is less than one half of the actuation voltages of a previously reported M-DAC equipped with electrostatic microactuators. The measured total displacement of the proposed three-bit M-DAC is nearly 504 nm, and the motion step is approximately 72 nm. Furthermore, we demonstrated that the M-DAC can be employed as a mirror platform with discrete displacement output for a noncontact surface profiling system.
Label-Free Biosensor Imaging on Photonic Crystal Surfaces
Authors: Zhuo Yue , Cunningham Brian
Published: September 2015

We review the development and application of nanostructured photonic crystal surfaces and a hyperspectral reflectance imaging detection instrument which, when used together, represent a new form of optical microscopy that enables label-free, quantitative, and kinetic monitoring of biomaterial interaction with substrate surfaces. Photonic Crystal Enhanced Microscopy (PCEM) has been used to detect broad classes of materials which include dielectric nanoparticles, metal plasmonic nanoparticles, biomolecular layers, and live cells. Because PCEM does not require cytotoxic stains or photobleachable fluorescent dyes, it is especially useful for monitoring the long-term interactions of cells with extracellular matrix surfaces. PCEM is only sensitive to the attachment of cell components within ~200 nm of the photonic crystal surface, which may correspond to the region of most interest for adhesion processes that involve stem cell differentiation, chemotaxis, and metastasis. PCEM has also demonstrated sufficient sensitivity for sensing nanoparticle contrast agents that are roughly the same size as protein molecules, which may enable applications in “digital” diagnostics with single molecule sensing resolution. We will review PCEM’s development history, operating principles, nanostructure design, and imaging modalities that enable tracking of optical scatterers, emitters, absorbers, and centers of dielectric permittivity.
A Probabilistic Feature Map-Based Localization System Using a Monocular Camera
Authors: Kim Hyungjin , Lee Donghwa , Oh Taekjun , Choi Hyun-Taek , Myung Hyun
Published: September 2015

Image-based localization is one of the most widely researched localization techniques in the robotics and computer vision communities. As enormous image data sets are provided through the Internet, many studies on estimating a location with a pre-built image-based 3D map have been conducted. Most research groups use numerous image data sets that contain sufficient features. In contrast, this paper focuses on image-based localization in the case of insufficient images and features. A more accurate localization method is proposed based on a probabilistic map using 3D-to-2D matching correspondences between a map and a query image. The probabilistic feature map is generated in advance by probabilistic modeling of the sensor system as well as the uncertainties of camera poses. Using the conventional PnP algorithm, an initial camera pose is estimated on the probabilistic feature map. The proposed algorithm is optimized from the initial pose by minimizing Mahalanobis distance errors between features from the query image and the map to improve accuracy. To verify that the localization accuracy is improved, the proposed algorithm is compared with the conventional algorithm in a simulation and realenvironments
Unmasking of Olive Oil Adulteration Via a Multi-Sensor Platform
Authors: Santonico Marco , Grasso Simone , Genova Francesco , Zompanti Alessandro , Parente Francesca , Pennazza Giorgio
Published: September 2015

Methods for the chemical and sensorial evaluation of olive oil are frequently changed and tuned to oppose the increasingly sophisticated frauds. Although a plethora of promising alternatives has been developed, chromatographic techniques remain the more reliable yet, even at the expense of their related execution time and costs. In perspective of a continuous increment in the number of the analyses as a result of the global market, more rapid and effective methods to guarantee the safety of the olive oil trade are required. In this study, a novel artificial sensorial system, based on gas and liquid analysis, has been employed to deal with olive oil genuineness and authenticity issues. Despite these sensors having been widely used in the field of food science, the innovative electronic interface of the device is able to provide a higher reproducibility and sensitivity of the analysis. The multi-parametric platform demonstrated the capability to evaluate the organoleptic properties of extra-virgin olive oils as well as to highlight the presence of adulterants at blending concentrations usually not detectable through other methods.
Time-Resolved Synchronous Fluorescence for Biomedical Diagnosis
Authors: Zhang Xiaofeng , Fales Andrew , Vo-Dinh Tuan
Published: September 2015

This article presents our most recent advances in synchronous fluorescence (SF) methodology for biomedical diagnostics. The SF method is characterized by simultaneously scanning both the excitation and emission wavelengths while keeping a constant wavelength interval between them. Compared to conventional fluorescence spectroscopy, the SF method simplifies the emission spectrum while enabling greater selectivity, and has been successfully used to detect subtle differences in the fluorescence emission signatures of biochemical species in cells and tissues. The SF method can be used in imaging to analyze dysplastic cells in vitro and tissue in vivo. Based on the SF method, here we demonstrate the feasibility of a time-resolved synchronous fluorescence (TRSF) method, which incorporates the intrinsic fluorescent decay characteristics of the fluorophores. Our prototype TRSF system has clearly shown its advantage in spectro-temporal separation of the fluorophores that were otherwise difficult to spectrally separate in SF spectroscopy. We envision that our previously-tested SF imaging and the newly-developed TRSF methods will combine their proven diagnostic potentials in cancer diagnosis to further improve the efficacy of SF-based biomedical diagnostics.
Numerical Modeling and Experimental Validation by Calorimetric Detection of Energetic Materials Using Thermal Bimorph Microcantilever Array: A Case Study on Sensing Vapors of Volatile Organic Compounds (VOCs)
Authors: Kang Seok-Won , Fragala Joe , Banerjee Debjyoti
Published: September 2015

Bi-layer (Au-Si3N4) microcantilevers fabricated in an array were used to detect vapors of energetic materials such as explosives under ambient conditions. The changes in the bending response of each thermal bimorph (i.e., microcantilever) with changes in actuation currents were experimentally monitored by measuring the angle of the reflected ray from a laser source used to illuminate the gold nanocoating on the surface of silicon nitride microcantilevers in the absence and presence of a designated combustible species. Experiments were performed to determine the signature response of this nano-calorimeter platform for each explosive material considered for this study. Numerical modeling was performed to predict the bending response of the microcantilevers for various explosive materials, species concentrations, and actuation currents. The experimental validation of the numerical predictions demonstrated that in the presence of different explosive or combustible materials, the microcantilevers exhibited unique trends in their bending responses with increasing values of the actuation current.
Multi-Sensor Data Fusion Using a Relevance Vector Machine Based on an Ant Colony for Gearbox Fault Detection
Authors: Liu Zhiwen , Guo Wei , Tang Zhangchun , Chen Yongqiang
Published: September 2015

Sensors play an important role in the modern manufacturing and industrial processes. Their reliability is vital to ensure reliable and accurate information for condition based maintenance. For the gearbox, the critical machine component in the rotating machinery, the vibration signals collected by sensors are usually noisy. At the same time, the fault detection results based on the vibration signals from a single sensor may be unreliable and unstable. To solve this problem, this paper proposes an intelligent multi-sensor data fusion method using the relevance vector machine (RVM) based on an ant colony optimization algorithm (ACO-RVM) for gearboxes’ fault detection. RVM is a sparse probability model based on support vector machine (SVM). RVM not only has higher detection accuracy, but also better real-time accuracy compared with SVM. The ACO algorithm is used to determine kernel parameters of RVM. Moreover, the ensemble empirical mode decomposition (EEMD) is applied to preprocess the raw vibration signals to eliminate the influence caused by noise and other unrelated signals. The distance evaluation technique (DET) is employed to select dominant features as input of the ACO-RVM, so that the redundancy and inference in a large amount of features can be removed. Two gearboxes are used to demonstrate the performance of the proposed method. The experimental results show that the ACO-RVM has higher fault detection accuracy than the RVM with normal the cross-validation (CV).
Human Age Estimation Method Robust to Camera Sensor and/or Face Movement
Authors: Nguyen Dat , Cho So , Pham Tuyen , Park Kang
Published: September 2015

Human age can be employed in many useful real-life applications, such as customer service systems, automatic vending machines, entertainment, etc. In order to obtain age information, image-based age estimation systems have been developed using information from the human face. However, limitations exist for current age estimation systems because of the various factors of camera motion and optical blurring, facial expressions, gender, etc. Motion blurring can usually be presented on face images by the movement of the camera sensor and/or the movement of the face during image acquisition. Therefore, the facial feature in captured images can be transformed according to the amount of motion, which causes performance degradation of age estimation systems. In this paper, the problem caused by motion blurring is addressed and its solution is proposed in order to make age estimation systems robust to the effects of motion blurring. Experiment results show that our method is more efficient for enhancing age estimation performance compared with systems that do not employ our method.
A Framework for Applying Point Clouds Grabbed by Multi-Beam LIDAR in Perceiving the Driving Environment
Authors: Liu Jian , Liang Huawei , Wang Zhiling , Chen Xiangcheng
Published: September 2015

The quick and accurate understanding of the ambient environment, which is composed of road curbs, vehicles, pedestrians, etc., is critical for developing intelligent vehicles. The road elements included in this work are road curbs and dynamic road obstacles that directly affect the drivable area. A framework for the online modeling of the driving environment using a multi-beam LIDAR, i.e., a Velodyne HDL-64E LIDAR, which describes the 3D environment in the form of a point cloud, is reported in this article. First, ground segmentation is performed via multi-feature extraction of the raw data grabbed by the Velodyne LIDAR to satisfy the requirement of online environment modeling. Curbs and dynamic road obstacles are detected and tracked in different manners. Curves are fitted for curb points, and points are clustered into bundles whose form and kinematics parameters are calculated. The Kalman filter is used to track dynamic obstacles, whereas the snake model is employed for curbs. Results indicate that the proposed framework is robust under various environments and satisfies the requirements for online processing.
Space-Time Characteristics of Vegetation Cover and Distribution: Case of the Henan Province in China
Authors: Li Jingzhong , Liu Yongmei , Cao Mingming , Xue Bing
Published: September 2015

Vegetation indicators and spatial distribution characteristics are the core and basis to study the complex human-natural coupled system. In this paper, with Landsat 5 and Landsat 8 remote sensing data, we quantitatively estimated vegetation coverage in Henan Province, China. According to the urbanization rate, altitude, slope degree, and slope exposure, we analyzed spatial and temporal variation laws of vegetation coverage under the action of different factors to provide a reference for the improvement of the ecological environment and the quality assessment of Chinese granary. From 2000 to 2013, the vegetation coverage in Henan Province declined by 30.49% and the ecological environment deteriorated. The spatial change of vegetation coverage was evenly distributed in Henan Province. The vegetation coverage was increased in the west, south, and southwest parts of Henan Province and slightly decreased in the central, east, and the eastern part of Taihang Mountain. Vegetation coverage in a city was related to its population urbanization rate. The population urbanization rate was often negatively correlated with the vegetation coverage. According to the results of terrain factors based analysis, the low-altitude areas were in a good vegetation cover condition with the high vegetation coverage grade; the areas with a smaller slope degree had the large vegetation coverage and the coverage decreased with the increase in the slope degree; the coverage showed no significant difference between sunny and shady slopes and was less limited by light, temperature, and humidity.
Effect of R&D Collaboration with Research Organizations on Innovation: The Mediation Effect of Environmental Performance
Authors: Yu Gun , Rhee Seung-Yoon
Published: September 2015

The purpose of this study was to advance our understanding of corporate environmental performance by linking its antecedents and consequences. This study examined how collaboration with research organizations, as a proactive strategic decision, influences the environmental performance of firms, which in turn leads to innovation performance. Using the data collected from 597 Korean firms representing a cross-section of industries, we found that a firm’s collaboration with research organizations positively affected the firm’s environmental performance, which positively influenced its innovation performance. Furthermore, the results indicated a full mediation effect of environmental performance on the relationship between collaboration with research organizations and innovation performance. This study offers a more comprehensive understanding of corporate environmental performance and discusses implications for innovation performance. Limitations and future research directions are also discussed.
Determinants of Behavioral Intention to Use South Korean Airline Services: Effects of Service Quality and Corporate Social Responsibility
Authors: Park Eunil , Lee Sanghoon , Kwon Sang , Del Pobil Angel
Published: September 2015

Since the introduction of corporate social responsibility (CSR), it has become an important duty of companies and organizations. In addition, academic and industry researchers have attempted to explore the effects of corporate social responsibility on firm performance. To this end, this study examined how corporate social responsibility and service quality are notably associated with customer satisfaction and behavioral intention to use by employing a structural equation modeling method. A research model with nine constructs was introduced and the findings revealed that economic, social, and environmental responsibility, as well as in-flight service quality, significantly determined customer satisfaction, while there were notable connections between customer satisfaction and behavioral intention to use. However, service quality at airports did not have a significant effect on satisfaction. The practical and theoretical implications of the current study are discussed.
Integrated River and Coastal Flow, Sediment and Escherichia coli Modelling for Bathing Water Quality
Authors: Huang Guoxian , Falconer Roger , Lin Binliang
Published: September 2015

Due to the increasing economic and cultural value of bathing waters and the shellfish industry in the UK and worldwide, water quality in estuarine and coastal waters has attracted considerable public attention in recent years. To obtain accurate predictions of the concentration distributions of faecal indicator organisms (FIOs) in coastal waters for better management of bathing water compliance, it is necessary to build an integrated modelling system to predict the complete diffuse and point source inputs from river and catchment basins. In the present paper, details are given of the development of such an integrated modelling system for simulating the transport and decay processes of FIOs, from catchment areas upstream from the coastal region, in which a distributed catchment module, a 1D river network module and a 2D estuarine and coastal module are linked dynamically by boundary inputs and outputs. Extensive measured data from the catchments, river networks and estuaries have been collated to determine the model parameters. Verification results of the distribution of water levels, flows and velocities, and suspended sediment and Escherichia coli concentrations, at controlled monitoring sites are presented, which show that the integrated model predictions generally agree well with the measurements, although locally appreciable errors can occur. The model results also highlight the importance of including the flux of FIOs via sediments being an important factor in terms of assessing the quality of bathing waters. The main factors influencing the relatively high concentration values in the bathing region are analysed, based on the model predictions and measured data, with four categories of FIO concentration levels being reviewed.
ALIGNMENT MODEL FOR TRUNK ROAD NETWORK MAINTENANCE OUTSOURCING
Authors: ORUGBO Ena E. , ALKALI Babakalli M. , DESILVA Anjali , HARRISON David K.
Published: September 2015

Road maintenance outsourcing is now the foremost strategy by which road authorities procure maintenance works. Despite growing application of road maintenance outsourcing, there are conflicting estimates on the effective­ness of road maintenance outsourcing and shortage of appropriate models to align over optimistic expectations of road authorities from road maintenance outsourcing with substantiated benefits. This paper investigates the efficacy of road maintenance outsourcing. In this paper, the different variants of road maintenance outsourcing and road maintenance works are evaluated with a SWOT analysis and a comprehensive literature review respectively. In addition, a road main­tenance outsourcing alignment model based on a decision tree and Balance Score Card is proposed and illustrated with a Nigerian trunk road network authority as a case study. The result of the SWOT analysis and comprehensive literature review establishes fresh insight into road maintenance outsourcing dynamics. The presented road maintenance outsourc­ing alignment model provides adequate pathways that could assist road authorities identify the most appropriate road maintenance outsourcing variant for road maintenance procurement. In addition it aligns actual benefits and expectations of road maintenance outsourcing and facilitates development of SMART metrics for effective assessment of road main­tenance outsourcing. The proposed model is applicable across other infrastructures.
Exploration, Development, and Validation of Patient-reported Outcomes in Antineutrophil Cytoplasmic Antibody–associated Vasculitis Using the OMERACT Process
Authors: Robson Joanna C. , Milman Nataliya , Tomasson Gunnar , Dawson Jill , Cronholm Peter F. , Kellom Katherine , Shea Judy , Ashdown Susan , Boers Maarten , Boonen Annelies , Casey George C. , Farrar John T. , Gebhart Don , Krischer Jeffrey , Lanier Georgia , McAlear Carol A. , Peck Jacqueline , Sreih Antoine G. , Tugwell Peter S. , Luqmani Raashid A. , Merkel Peter A.
Published: September 2015

Objective.

Antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) is a group of linked multisystem life- and organ-threatening diseases. The Outcome Measures in Rheumatology (OMERACT) vasculitis working group has been at the forefront of outcome development in the field and has achieved OMERACT endorsement of a core set of outcomes for AAV. Patients with AAV report as important some manifestations of disease not routinely collected through physician-completed outcome tools; and they rate common manifestations differently from investigators. The core set includes the domain of patient-reported outcomes (PRO). However, PRO currently used in clinical trials of AAV do not fully characterize patients’ perspectives on their burden of disease. The OMERACT vasculitis working group is addressing the unmet needs for PRO in AAV.

Methods.

Current activities of the working group include (1) evaluating the feasibility and construct validity of instruments within the PROMIS (Patient-Reported Outcome Measurement Information System) to record components of the disease experience among patients with AAV; (2) creating a disease-specific PRO measure for AAV; and (3) applying The International Classification of Functioning, Disability and Health to examine the scope of outcome measures used in AAV.

Results.

The working group has developed a comprehensive research strategy, organized an investigative team, included patient research partners, obtained peer-reviewed funding, and is using a considerable research infrastructure to complete these interrelated projects to develop evidence-based validated outcome instruments that meet the OMERACT filter of truth, discrimination, and feasibility.

Conclusion.

The OMERACT vasculitis working group is on schedule to achieve its goals of developing validated PRO for use in clinical trials of AAV.
Reduction of Inflammation Drives Lipid Changes in Ankylosing Spondylitis
Authors: Heslinga Sjoerd C. , Peters Mike J. , ter Wee Marieke M. , van der Horst-Bruinsma Irene E. , van Sijl Alper M. , Smulders Yvo M. , Nurmohamed Michael T.
Published: September 2015

Objective.

To investigate the effects of changing inflammation on lipid levels in ankylosing spondylitis.

Methods.

In a cohort of 230 patients, lipid levels were measured at baseline and after 52 weeks of treatment with tumor necrosis factor-α–blocking agents (anti-TNF).

Results.

Total cholesterol (TC; +4.6%), low-density lipoprotein cholesterol (+4.3%), and high-density lipoprotein cholesterol (HDL-C; +3.7%) increased upon treatment. Changes were most evident in patients with substantial reduction in inflammatory levels (TC +8.2% vs +1.6% and HDL-C +8.3% vs +2.2% in patients with C-reactive protein ≥ 10 mg/l normalizing upon treatment vs CRP < 10 mg/l throughout treatment period).

Conclusion.

Anti-TNF therapy results in lipid changes mostly when inflammation is appreciably modified.
Deuterated Drugs
Authors: Howland Robert H.
Published: September 2015

Many drugs are carbon-based, and carbon–hydrogen bonding is particularly relevant for understanding important properties of drug molecules. Deuteration refers to the selective replacement of protium hydrogen isotope atoms in small-molecule drugs with deuterium hydrogen isotope atoms. Deuteration of a drug is most likely to affect pharmacokinetic properties, such as metabolism, rather than its pharmacodynamic effects. For this reason, the metabolism of certain drugs may be favorably influenced when deuterium is substituted for protium, resulting in improved safety, tolerability, or efficacy. Examples of deuterated drugs that have been evaluated in clinical studies include paroxetine, tetrabenazine, and dextromethorphan. [
Journal of Psychosocial Nursing and Mental Health Services
,
53
(9), 13–16.]
Identifying Factors for Successful Implementation of Simulation Modeling in Healthcare
Authors: Steins Krisjanis , Persson Fredrik
Published: September 2015

A number of academic literature surveys have shown that only a small fraction of published healthcare simulation studies are actually implemented. This research identifies factors that can contribute to successful implementation of simulation results in healthcare. The authors have been involved in a six year long simulation study in a Swedish regional hospital's operating department. The three most important factors that contributed to implementation in this case were: the timing of simulation study to support a critical decision, advantageous cost benefit ratio of the implementation and thorough model validation. Other contributing factors included high degree of staff involvement, availability of good quality data, as well as proper incentives to improve the system. Findings of this study can help in establishing the prerequisites for successful implementation in other cases.
Laparoscopic Skills Simulator
Authors: Sguanci M. , Mandolfino F. , Casaccia M. , Gaudina M. , Bellanti E. , Minuto M. , Frascio M.
Published: September 2015

The aim of this study is to investigate the importance of acquiring basic and advanced laparoscopic skills using a virtual reality low cost simulator in laparoscopic surgery. The authors have considered six basic and five advanced skills. The training exercises are related to the acquisition of tasks which allow students to reach basic gestures competences. In the second phase the students will perform complex drills to acquire a correct gesture. The authors have developed a standardized, graduated and evidence-based training course. A software able to handle the training task has been created through a virtual interface based on the concept “student - exercise – evaluation”. The results are expected because data analysis will be possible only after a period of simulator testing on different samples of students. Referring to the experience reported by other authors, they expect significant results in terms of: reduction of learning time, better dexterity, ability to recognize and correct procedural errors, positive economic impact in term of better patients outcome, analyzed by codified clinical indicators.