bluuebunny/crossref_metadata_2025 huggingface dataset:
The Metabolic Response to Stress and Infection in Critically Ill Children: The Opportunity of an Individualized Approach
Authors: De Cosmi Valentina , Milani Gregorio Paolo , Mazzocchi Alessandra , D’Oria Veronica , Silano Marco , Calderini Edoardo , Agostoni Carlo
Published: September 2017

The metabolic response to stress and infection is closely related to the corresponding requirements of energy and nutrients. On a general level, the response is driven by a complex endocrine network and related to the nature and severity of the insult. On an individual level, the effects of nutritional interventions are highly variable and a possible source of complications. This narrative review aims to discuss the metabolic changes in critically-ill children and the potential of developing personalized nutritional interventions. Through a literature search strategy, we have investigated the importance of blood glucose levels, the nutritional aspects of the different phases of acute stress response, and the reliability of the available tools to assess the energy expenditure. The dynamics of metabolism during stressful events reveals the difficult balance between risk of hypo- or hyperglycemia and under- or overfeeding. Within this context, individualized and accurate measurement of energy expenditure may help in defining the metabolic needs of patients. Given the variability of the metabolic response in critical conditions, randomized clinical studies in ill children are needed to evaluate the effect of individualized nutritional intervention on health outcomes.
Caffeine Improves Basketball Performance in Experienced Basketball Players
Authors: Puente Carlos , Abián-Vicén Javier , Salinero Juan , Lara Beatriz , Areces Francisco , Del Coso Juan
Published: September 2017

The aim of this study was to determine the effect of caffeine intake on overall basketball performance in experienced players. A double-blind, placebo-controlled, randomized experimental design was used for this investigation. In two different sessions separated by one week, 20 experienced basketball players ingested 3 mg of caffeine/kg of body mass or a placebo. After 60 min, participants performed 10 repetitions of the following sequence: Abalakov jump, Change-of-Direction and Acceleration Test (CODAT) and two free throws. Later, heart rate, body impacts and game statistics were recorded during a 20-min simulated basketball game. In comparison to the placebo, the ingestion of caffeine increased mean jump height (37.3 ± 6.8 vs. 38.2 ± 7.4 cm; p = 0.012), but did not change mean time in the CODAT test or accuracy in free throws. During the simulated game, caffeine increased the number of body impacts (396 ± 43 vs. 410 ± 41 impacts/min; p < 0.001) without modifying mean or peak heart rate. Caffeine also increased the performance index rating (7.2 ± 8.6 vs. 10.6 ± 7.1; p = 0.037) during the game. Nevertheless, players showed a higher prevalence of insomnia (19.0 vs. 54.4%; p = 0.041) after the game. Three mg of caffeine per kg of body mass could be an effective ergogenic substance to increase physical performance and overall success in experienced basketball players.
Changes in Fatty Acid Composition of Human Milk in Response to Cold-Like Symptoms in the Lactating Mother and Infant
Authors: Gardner Andrew , Rahman Ibrahim , Lai Ching , Hepworth Anna , Trengove Naomi , Hartmann Peter , Geddes Donna
Published: September 2017

Infants rely on their innate immune systems to protect them from infection. Human milk (HM) contains fatty acids (FAs) and monoacylglycerols that are known to exhibit antiviral and antibacterial properties in vitro. The specific fat content of HM may potentially affect the efficacy of this antimicrobial activity. This preliminary study investigates whether the proportions of FA in HM change in response to infections, leading to cold-like symptoms in the mother or infant. Milk samples were obtained from mothers (n = 26) when they and their infants were healthy, and when mother, infant, or both suffered cold-like symptoms. The milk was hydrolysed and FA proportions were measured using gas chromatography. Fifteen FAs were recorded, of which eight were detected in sufficient quantities for statistical analysis. The proportions of capric (C10:0) and lauric acids (C12:0) in HM were significantly lower, and palmitic acid (C16:0) was higher when mothers and infants were ill compared to healthy samples. Palmitoleic (C16:1, n-7) and stearic acid (C18:0) proportions were higher in HM when the infant was unwell, but were not related to maternal health. Whilst the differences detected were small (less than 0.5%), the effects may be additive and potentially have a protective function. The value of further studies is certainly indicated.
Emerging Roles of Heparanase in Viral Pathogenesis
Authors: Thakkar Neel , Yadavalli Tejabhiram , Jaishankar Dinesh , Shukla Deepak
Published: September 2017

Heparan sulfate (HS) is ubiquitously expressed on mammalian cells. It is a polysaccharide that binds growth factors, cytokines, and chemokines, and thereby controls several important physiological functions. Ironically, many human pathogens including viruses interact with it for adherence to host cells. HS functions can be regulated by selective modifications and/or selective cleavage of the sugar chains from the cell surface. In mammals, heparanase (HPSE) is the only known enzyme capable of regulating HS functions via a selective endoglycosidase activity that cleaves polymeric HS chains at internal sites. During homeostasis, HPSE expression and its endoglycosidase activity are tightly regulated; however, under stress conditions, including infection, its expression may be upregulated, which could contribute directly to the onset of several disease pathologies. Here we focus on viral infections exemplified by herpes simplex virus, dengue virus, human papillomavirus, respiratory syncytial virus, adenovirus, hepatitis C virus, and porcine respiratory and reproductive syncytial virus to summarize recent advances in understanding the highly significant, but emerging roles, of the enzyme HPSE in viral infection, spread and pathogenesis.
To Tie or Not to Tie? That Is the Question
Authors: Dabrowski-Tumanski Pawel , Sulkowska Joanna
Published: September 2017

In this review, we provide an overview of entangled proteins. Around 6% of protein structures deposited in the PBD are entangled, forming knots, slipknots, lassos and links. We present theoretical methods and tools that enabled discovering and classifying such structures. We discuss the advantages and disadvantages of the non-trivial topology in proteins, based on available data about folding, stability, biological properties and evolutionary conservation. We also formulate intriguing and challenging questions on the border of biophysics, bioinformatics, biology and mathematics, which arise from the discovery of an entanglement in proteins. Finally, we discuss possible applications of entangled proteins in medicine and nanotechnology, such as the chance to design super stable proteins, whose stability could be controlled by chemical potential.
Piercing to the Pith of the Body: The Evolution of Body Mandala and Tantric Corporeality in Tibet
Authors: Dachille Rae
Published: September 2017

Buddhist tantric practitioners embrace the liminal status of the human body to manifest divine identity. In piercing to the pith of human embodiment, the tantric practitioner reconfigures the shape and contours of his/her reality. This article investigates the evolution of one particular technique for piercing to the pith of the body on Tibetan soil, a ritual practice known as body mandala [lus dkyil Skt. deha-maṇḍala]. In particular, it uncovers a significant shift of emphasis in the application of the Guhyasamāja body mandala practice initiated by champions of the emerging Gandenpa [Dga’ ldan pa] or Gelukpa [Dge lugs pa] tradition of Tibetan Buddhism, Tsongkhapa (1357–1419) and Mkhas grub rje (1385–1438). This article reveals some of the radical implications of ritual exegesis, ranging from the socioreligious aspects of securing prestige for a tradition to the ultimate soteriological goals of modifying the boundaries between life and death and ordinary and enlightened embodiment.
An Integrated Approach to Pricing Catastrophe Reinsurance
Authors: Chang Carolyn W. , Chang Jack S. K.
Published: September 2017

We propose an integrated approach straddling the actuarial science and the mathematical finance approaches to pricing a default-risky catastrophe reinsurance contract. We first apply an incomplete-market version of the no-arbitrage martingale pricing paradigm to price the reinsurance contract as a martingale by a measure change, then we apply risk loading to price in—as in the traditional actuarial practice—market imperfections, the underwriting cycle, and other idiosyncratic factors identified in the practice and empirical literatures. This integrated approach is theoretically appealing for its merit of factoring risk premiums into the probability measure, and yet practical for being applicable to price a contract not traded on financial markets. We numerically study the catastrophe pricing effects and find that the reinsurance contract is more valuable when the catastrophe is more severe and the reinsurer’s default risk is lower because of a stronger balance sheet. We also find that the price is more sensitive to the severity of catastrophes than to the arrival frequency; implying (re)insurers should focus more on hedging the severity than the arrival frequency in their risk management programs.
Modeling of BN Lifetime Prediction of a System Based on Integrated Multi-Level Information
Authors: Wang Jingbin , Wang Xiaohong , Wang Lizhi
Published: September 2017

Predicting system lifetime is important to ensure safe and reliable operation of products, which requires integrated modeling based on multi-level, multi-sensor information. However, lifetime characteristics of equipment in a system are different and failure mechanisms are inter-coupled, which leads to complex logical correlations and the lack of a uniform lifetime measure. Based on a Bayesian network (BN), a lifetime prediction method for systems that combine multi-level sensor information is proposed. The method considers the correlation between accidental failures and degradation failure mechanisms, and achieves system modeling and lifetime prediction under complex logic correlations. This method is applied in the lifetime prediction of a multi-level solar-powered unmanned system, and the predicted results can provide guidance for the improvement of system reliability and for the maintenance and protection of the system.
Worst-Case Energy Efficiency Maximization in a 5G Massive MIMO-NOMA System
Authors: Chinnadurai Sunil , Selvaprabhu Poongundran , Jeong Yongchae , Jiang Xueqin , Lee Moon
Published: September 2017

In this paper, we examine the robust beamforming design to tackle the energy efficiency (EE) maximization problem in a 5G massive multiple-input multiple-output (MIMO)-non-orthogonal multiple access (NOMA) downlink system with imperfect channel state information (CSI) at the base station. A novel joint user pairing and dynamic power allocation (JUPDPA) algorithm is proposed to minimize the inter user interference and also to enhance the fairness between the users. This work assumes imperfect CSI by adding uncertainties to channel matrices with worst-case model, i.e., ellipsoidal uncertainty model (EUM). A fractional non-convex optimization problem is formulated to maximize the EE subject to the transmit power constraints and the minimum rate requirement for the cell edge user. The designed problem is difficult to solve due to its nonlinear fractional objective function. We firstly employ the properties of fractional programming to transform the non-convex problem into its equivalent parametric form. Then, an efficient iterative algorithm is proposed established on the constrained concave-convex procedure (CCCP) that solves and achieves convergence to a stationary point of the above problem. Finally, Dinkelbach’s algorithm is employed to determine the maximum energy efficiency. Comprehensive numerical results illustrate that the proposed scheme attains higher worst-case energy efficiency as compared with the existing NOMA schemes and the conventional orthogonal multiple access (OMA) scheme.
Using Impedance Measurements to Characterize Surface Modified with Gold Nanoparticles
Authors: MacKay Scott , Abdelrasoul Gaser , Tamura Marcus , Lin Donghai , Yan Zhimin , Chen Jie
Published: September 2017

With the increased practice of preventative healthcare to help reduce costs worldwide, sensor technology improvement is vital to patient care. Point-of-care (POC) diagnostics can reduce time and lower labor in testing, and can effectively avoid transporting costs because of portable designs. Label-free detection allows for greater versatility in the detection of biological molecules. Here, we describe the use of an impedance-based POC biosensor that can detect changes in the surface modification of a micro-fabricated chip using impedance spectroscopy. Gold nanoparticles (GNPs) have been employed to evaluate the sensing ability of our new chip using impedance measurements. Furthermore, we used impedance measurements to monitor surface functionalization progress on the sensor’s interdigitated electrodes (IDEs). Electrodes made from aluminum and gold were employed and the results were analyzed to compare the impact of electrode material. GNPs coated with mercaptoundecanoic acid were also used as a model of biomolecules to greatly enhance chemical affinity to the silicon substrate. The portable sensor can be used as an alternative technology to ELISA (enzyme-linked immunosorbent assays) and polymerase chain reaction (PCR)-based techniques. This system has advantages over PCR and ELISA both in the amount of time required for testing and the ease of use of our sensor. With other techniques, larger, expensive equipment must be utilized in a lab environment, and procedures have to be carried out by trained professionals. The simplicity of our sensor system can lead to an automated and portable sensing system.
Multi-Frame Super-Resolution of Gaofen-4 Remote Sensing Images
Authors: Xu Jieping , Liang Yonghui , Liu Jin , Huang Zongfu
Published: September 2017

Gaofen-4 is China’s first geosynchronous orbit high-definition optical imaging satellite with extremely high temporal resolution. The features of staring imaging and high temporal resolution enable the super-resolution of multiple images of the same scene. In this paper, we propose a super-resolution (SR) technique to reconstruct a higher-resolution image from multiple low-resolution (LR) satellite images. The method first performs image registration in both the spatial and range domains. Then the point spread function (PSF) of LR images is parameterized by a Gaussian function and estimated by a blind deconvolution algorithm based on the maximum a posteriori (MAP). Finally, the high-resolution (HR) image is reconstructed by a MAP-based SR algorithm. The MAP cost function includes a data fidelity term and a regularized term. The data fidelity term is in the L2 norm, and the regularized term employs the Huber-Markov prior which can reduce the noise and artifacts while preserving the image edges. Experiments with real Gaofen-4 images show that the reconstructed images are sharper and contain more details than Google Earth ones.
An Improved Evidential-IOWA Sensor Data Fusion Approach in Fault Diagnosis
Authors: Tang Yongchuan , Zhou Deyun , Zhuang Miaoyan , Fang Xueyi , Xie Chunhe
Published: September 2017

As an important tool of information fusion, Dempster–Shafer evidence theory is widely applied in handling the uncertain information in fault diagnosis. However, an incorrect result may be obtained if the combined evidence is highly conflicting, which may leads to failure in locating the fault. To deal with the problem, an improved evidential-Induced Ordered Weighted Averaging (IOWA) sensor data fusion approach is proposed in the frame of Dempster–Shafer evidence theory. In the new method, the IOWA operator is used to determine the weight of different sensor data source, while determining the parameter of the IOWA, both the distance of evidence and the belief entropy are taken into consideration. First, based on the global distance of evidence and the global belief entropy, the α value of IOWA is obtained. Simultaneously, a weight vector is given based on the maximum entropy method model. Then, according to IOWA operator, the evidence are modified before applying the Dempster’s combination rule. The proposed method has a better performance in conflict management and fault diagnosis due to the fact that the information volume of each evidence is taken into consideration. A numerical example and a case study in fault diagnosis are presented to show the rationality and efficiency of the proposed method.
Repetitive Immunosensor with a Fiber-Optic Device and Antibody-Coated Magnetic Beads for Semi-Continuous Monitoring of Escherichia coli O157:H7
Authors: Taniguchi Midori , Saito Hirokazu , Mitsubayashi Kohji
Published: September 2017

A rapid and reproducible fiber-optic immunosensor for Escherichia coli O157:H7 (E. coli O157:H7) was described. The biosensor consisted of a flow cell, an optical fiber with a thin Ni layer, and a PC linked fluorometer. First, the samples with E. coli O157:H7 were incubated with magnetic beads coated with anti-E. coli O157:H7 antibodies and anti-E. coli O157:H7 antibodies labeled cyanine 5 (Cy5) to make sandwich complexes. Then the Cy5-(E. coli O157:H7)-beads were injected into a flow cell and pulled to the magnetized Ni layer on the optical fiber set in the flow cell. An excitation light (λ = 635 nm) was used to illuminate the optical fiber, and the Cy5 florescent molecules facing the optical fiber were exposed to an evanescent wave from the optical fiber. The 670 nm fluorescent light was measured using a photodiode. Finally, the magnetic intensity of the Ni layer was removed and the Cy5-E. coli O157:H7-beads were washed out for the next immunoassay. E. coli O157:H7, diluted with phosphate buffer (PB), was measured from 1 × 105 to 1 × 107 cells/mL. The total time required for an assay was less than 15 min (except for the pretreatment process) and repeating immunoassay on one optical fiber was made possible.
A New Quaternion-Based Kalman Filter for Real-Time Attitude Estimation Using the Two-Step Geometrically-Intuitive Correction Algorithm
Authors: Feng Kaiqiang , Li Jie , Zhang Xiaoming , Shen Chong , Bi Yu , Zheng Tao , Liu Jun
Published: September 2017

In order to reduce the computational complexity, and improve the pitch/roll estimation accuracy of the low-cost attitude heading reference system (AHRS) under conditions of magnetic-distortion, a novel linear Kalman filter, suitable for nonlinear attitude estimation, is proposed in this paper. The new algorithm is the combination of two-step geometrically-intuitive correction (TGIC) and the Kalman filter. In the proposed algorithm, the sequential two-step geometrically-intuitive correction scheme is used to make the current estimation of pitch/roll immune to magnetic distortion. Meanwhile, the TGIC produces a computed quaternion input for the Kalman filter, which avoids the linearization error of measurement equations and reduces the computational complexity. Several experiments have been carried out to validate the performance of the filter design. The results demonstrate that the mean time consumption and the root mean square error (RMSE) of pitch/roll estimation under magnetic disturbances are reduced by 45.9% and 33.8%, respectively, when compared with a standard filter. In addition, the proposed filter is applicable for attitude estimation under various dynamic conditions.
Enabling Large-Scale IoT-Based Services through Elastic Publish/Subscribe
Authors: Vavassori Sergio , Soriano Javier , Fernández Rafael
Published: September 2017

In this paper, we report an algorithm that is designed to leverage the cloud as infrastructure to support Internet of Things (IoT) by elastically scaling in/out so that IoT-based service users never stop receiving sensors’ data. This algorithm is able to provide an uninterrupted service to end users even during the scaling operation since its internal state repartitioning is transparent for publishers or subscribers; its scaling operation is time-bounded and depends only on the dimension of the state partitions to be transmitted to the different nodes. We describe its implementation in E-SilboPS, an elastic content-based publish/subscribe (CBPS) system specifically designed to support context-aware sensing and communication in IoT-based services. E-SilboPS is a key internal asset of the FIWARE IoT services enablement platform, which offers an architecture of components specifically designed to capture data from, or act upon, IoT devices as easily as reading/changing the value of attributes linked to context entities. In addition, we discuss the quantitative measurements used to evaluate the scale-out process, as well as the results of this evaluation. This new feature rounds out the context-aware content-based features of E-SilboPS by providing, for example, the necessary middleware for constructing dashboards and monitoring panels that are capable of dynamically changing queries and continuously handling data in IoT-based services.
A Direct Coarray Interpolation Approach for Direction Finding
Authors: Chen Tao , Guo Muran , Guo Limin
Published: September 2017

Sparse arrays have gained considerable attention in recent years because they can resolve more sources than the number of sensors. The coprime array can resolve O ( M N ) sources with only O ( M + N ) sensors, and is a popular sparse array structure due to its closed-form expressions for array configuration and the reduction of the mutual coupling effect. However, because of the existence of holes in its coarray, the performance of subspace-based direction of arrival (DOA) estimation algorithms such as MUSIC and ESPRIT is limited. Several coarray interpolation approaches have been proposed to address this issue. In this paper, a novel DOA estimation approach via direct coarray interpolation is proposed. By using the direct coarray interpolation, the reshaping and spatial smoothing operations in coarray-based DOA estimation are not needed. Compared with existing approaches, the proposed approach can achieve a better accuracy with lower complexity. In addition, an improved angular resolution capability is obtained by using the proposed approach. Numerical simulations are conducted to validate the effectiveness of the proposed approach.
Application of Surface Protective Coating to Enhance Environment-Withstanding Property of the MEMS 2D Wind Direction and Wind Speed Sensor
Authors: Shin Kyu-Sik , Lee Dae-Sung , Song Sang-Woo , Jung Jae Pil
Published: September 2017

In this study, a microelectromechanical system (MEMS) two-dimensional (2D) wind direction and wind speed sensor consisting of a square heating source and four thermopiles was manufactured using the heat detection method. The heating source and thermopiles of the manufactured sensor must be exposed to air to detect wind speed and wind direction. Therefore, there are concerns that the sensor could be contaminated by deposition or adhesion of dust, sandy dust, snow, rain, and so forth, in the air, and that the membrane may be damaged by physical shock. Hence, there was a need to protect the heating source, thermopiles, and the membrane from environmental and physical shock. The upper protective coating to protect both the heating source and thermopiles and the lower protective coating to protect the membrane were formed by using high-molecular substances such as SU-8, Teflon and polyimide (PI). The sensor characteristics with the applied protective coatings were evaluated.
A Generic Compliance Modeling Method for Two-Axis Elliptical-Arc-Filleted Flexure Hinges
Authors: Li Lijian , Zhang Dan , Guo Sheng , Qu Haibo
Published: September 2017

As a kind of important flexible joint, two-axis flexure hinges can realize in-plane and out-of-plane motions and can be used for constructing flexure-based spatial compliant mechanisms. The paper introduces a common two-axis elliptical-arc-filleted flexure hinge that is generated by two different elliptical-arc-filleted cutout profiles and that provides some new hinge types. The analytical compliance equations of both half-segments of the two-axis elliptical-arc flexure hinges are firstly formulated, and then, based on a generic compliance modeling method of a flexure serial chain, the closed-form compliance and precision matrices of two-axis elliptical-arc-filleted flexure hinges are established and validated by the finite element method. Some numerical simulations are conducted to compare the effect of different design geometric parameters on the performance of the two-axis flexure hinges.
The Effect of Off-Farm Employment on Forestland Transfers in China: A Simultaneous-Equation Tobit Model Estimation
Authors: Zhang Han , Kuuluvainen Jari , Yang Hongqiang , Xie Yi , Liu Can
Published: September 2017

China’s new round tenure reform has devolved collective forests to individuals on an egalitarian basis. To balance the equity–efficiency dilemma, forestland transfers are highly advocated by policymakers. However, the forestland rental market is still inactive after the reform. To examine the role of off-farm employment in forestland transfers, a simultaneous Tobit system of equations was employed to account for the endogeneity, interdependency, and censoring issues. Accordingly, the Nelson–Olson two-stage procedure, embedded with a multivariate Tobit estimator, was applied to a nationally representative dataset. The estimation results showed that off-farm employment plays a significantly negative role in forestland rent-in, at the 5% risk level. However, off-farm activities had no significant effect on forestland rent-out. Considering China’s specific situation, a reasonable explanation is that households hold forestland as a crucial means of social security against the risk of unemployment. In both rent-in and rent-out equations, high transaction costs are one of the main obstacles impeding forestland transfer. A remarkable finding was that forestland transactions occurred with a statistically significant factor equalization effect, which would be helpful to adjust the mismatched labor–land ratio and improve the land-use efficiency.
The Sustainable Personality in Entrepreneurship: The Relationship between Big Six Personality, Entrepreneurial Self-Efficacy, and Entrepreneurial Intention in the Chinese Context
Authors: Mei Hu , Ma Zicheng , Jiao Shiwen , Chen Xiaoyu , Lv Xinyue , Zhan Zehui
Published: September 2017

This study examined the relationships between Big Six personality and entrepreneurial intention, inclusive of the mediating role of entrepreneurial self-efficacy in the Chinese context. Survey data from 280 college students reveal that Emotional Stability, Conscientiousness, Extraversion, and Interpersonal Relationship were positively associated with entrepreneurial intention. Agreeableness and Openness, however, had no effect on entrepreneurial intention in this study. Mediation analysis further indicated that Emotional Stability, Conscientiousness, Extraversion, and Interpersonal Relationship affected entrepreneurial self-efficacy, thus playing an indirect impact on entrepreneurial intention. In contrast, Agreeableness and Openness had no mediating role in the present study. These findings validate the bridge mechanism of entrepreneurial self-efficacy underlying the relationships between Big Six personality and entrepreneurial intention. These results highlight the direct role of sustainable personality as a predictor of entrepreneurial intention, especially as we note the decisive effect of the Interpersonal Relationship dimension in the Chinese context for the first time.
Perception of Space among Children Studying Their Local Grasslands: Examining Attitudes and Behavioural Intentions
Authors: Eilam Efrat , Garrard Georgia
Published: September 2017

The study examined children’s perception of space in the context of place-based education. It investigates: the cognitive attitudinal dispositions involved in perceiving space as ‘empty’; and, how students’ attitudes toward one grassland site inform their attitudes and behavioural intentions when applied to similar spaces which are spatially and temporally remote. A group of urban primary students participated in a four-month environmental education program in which the students were immersed in a local grassland reserve through repeated visits and learning about grasslands. Data collection included surveys and a focus group activity concerning future neighbourhood planning. The results indicate that the children perceived as ‘empty’ spaces which were un-built, lacked human activities, or were un-identified on a map of the area. Students presented negative attitudes toward ‘empty spaces’ and were inclined to ‘fill’ them. In regard to future planning of their neighbourhood, high consistency was found between the students’ positive attitudes and their intentions to preserve the studied grassland site. This alignment between attitudes and behavioural intentions became disentangled when applied to remote sites at future times. While attitudes remained positive, behavioural intentions were willing to forsake grassland sites. The implications of the findings to environmental education are discussed.
Differences of Cycling Experiences and Perceptions between E-Bike and Bicycle Users in the United States
Authors: Ling Ziwen , Cherry Christopher , MacArthur John , Weinert Jonathan
Published: September 2017

E-bikes are bicycles that provide pedal-assistance to aid people in cycling. Because of the potential of promoting sustainable transportation, more attention has been focused on the e-bike market. This paper investigates the differences of the cycling experience and perceptions between e-bike and conventional bicycle users, using samples drawn from independent bicycle dealer customers. A total of 806 respondents in the United States took the on-line survey, including 363 e-bike-owning respondents. The results show that e-bikes play a more important role in utilitarian travel, such as commuting and running errands, compared to a conventional bicycle. Conventional bicycle-owning respondents use their bicycles more for recreation and exercise. Also, e-bike owners tend to bike longer distances and take more trips per week. Both e-bike respondents and bicycle respondents stated that improved health was a key factor for cycling, while Millennials and Generation X respondents cycle to save time and improve the environment. Finally, an ordered logit model is proposed for evaluating factors that influence interest in future e-bike ownership. Travel purpose, e-bike familiarity, annual household income, and education level are statistically significant factors in the model. These findings begin to provide insight and a profile of potential new markets for e-bikes in the United States.
Building Corporate Reputation through Sustainable Entrepreneurship: The Mediating Effect of Ethical Behavior
Authors: Ramos-González Mª , Rubio-Andrés Mercedes , Sastre-Castillo Miguel
Published: September 2017

This article investigates how a management approach based on sustainable entrepreneurship can positively affect corporate reputation. The analysis showed that this effect is enhanced by the mediating effect of good governance based on ethical behavior. The empirical study was conducted using data for 104 large Spanish firms defined as sustainable by the Corporate Reputation Business Monitor (MERCO) ranking.
Mechanisms by which HPV Induces a Replication Competent Environment in Differentiating Keratinocytes
Authors: Moody Cary
Published: September 2017

Human papillomaviruses (HPV) are the causative agents of cervical cancer and are also associated with other genital malignancies, as well as an increasing number of head and neck cancers. HPVs have evolved their life cycle to contend with the different cell states found in the stratified epithelium. Initial infection and viral genome maintenance occurs in the proliferating basal cells of the stratified epithelium, where cellular replication machinery is abundant. However, the productive phase of the viral life cycle, including productive replication, late gene expression and virion production, occurs upon epithelial differentiation, in cells that normally exit the cell cycle. This review outlines how HPV interfaces with specific cellular signaling pathways and factors to provide a replication-competent environment in differentiating cells.
Pseudomonas aeruginosa Psl Exopolysaccharide Interacts with the Antimicrobial Peptide LG21
Authors: Chin Joyce , Sinha Sheetal , Nalaparaju Anjaiah , Yam Joey , Qin Zhiqiang , Ma Luyan , Liang Zhao-Xun , Lu Lanyuan , Bhattacharjya Surajit , Yang Liang
Published: September 2017

Biofilm formation by opportunistic pathogens serves as one of the major causes of chronic and persistent infections. Bacterial cells in the biofilms are embedded in their self-generated protective extracellular polymeric substances (EPS), which include exopolysaccharides, large adhesin proteins and extracellular DNA. In this study, we identified an antimicrobial peptide (AMP) LG21 that is able to interact specifically with the Psl exopolysaccharide of Pseudomonas aeruginosa, thus it can be used as a diagnostic tool for P. aeruginosa biofilms. Molecular dynamics simulation analysis showed that residues numbered from 15 to 21 (WKRKRFG) in LG21 are involved in interacting with Psl. Our study indicates that host immune systems might detect and interact with microbial biofilms through AMPs. Engineering biofilm EPS-targeting AMPs might provide novel strategies for biofilm detection and treatment.
Incorporating Rainfall-Runoff Events into Nitrate-Nitrogen and Phosphorus Load Assessments for Small Tile-Drained Catchments
Authors: Fučík Petr , Zajíček Antonín , Kaplická Markéta , Duffková Renata , Peterková Jana , Maxová Jana , Takáčová Šárka
Published: September 2017

Rainfall-runoff events significantly influence water runoff and the loss of pollutants from tile-drained agricultural land. We monitored ten small (4 to 38 ha) tile-drained catchments in Czechia for three to five years (2012 to 2016). The discharge was measured continuously; a regular 14-day scheme of water quality monitoring was accompanied with event sampling provided by automatic samplers in 20 to 120 min intervals. A new semi-automated algorithm was developed for the identification of runoff events (RE) based on discharge and water temperature changes. We then quantified the share of RE on the total runoff and the N and P losses, and we compared six methods for nutrient load estimation on an annual and monthly basis. The results showed considerable differences among the monitored sites, seasons, and applied methods. The share of RE on N loads was on average 5% to 30% of the total annual load, whereas for P (dissolved and total), the share of RE was on average 10% to 80% on the total annual load. The most precise method for nutrient load estimation included the RE. The methods based on point monitoring of the discharge and water quality underestimated the loads of N by 10% to 20% and of P by 30% to 80%. The acquired findings are crucial for the improvement of nutrient load assessment in tile-drained catchments, as well as for the design of various mitigation measures on tile-drained agricultural land.
Changes in Phytoplankton and Water Quality during Sustainable Restoration of an Urban Lake Used for Recreation and Water Supply
Authors: Kozak Anna , Gołdyn Ryszard , Dondajewska Renata , Kowalczewska-Madura Katarzyna , Holona Tomasz
Published: September 2017

Groundwater intake near Lake Głębokie, situated in the city of Szczecin in Northwestern Poland, resulted in a distinct decrease in the lake water level. Water intake from a river and a neighboring urban area led to eutrophication and a strong cyanobacterial water bloom. Both the water intake and recreation were threatened due to the possible influence of cyanobacterial toxins. The lake was subjected to three sustainable restoration methods: aeration of sediment-water; iron addition to precipitate P, and; biomanipulation. The goal of our study was to determine the changes in the taxonomic composition of phytoplankton and chemical water variables during restoration measures. A comparison of the data obtained during this research with the pre-restoration data showed that, as a result of the treatments orthophosphates decreased, rarely exceeding 0.06 mg P·L−1, and cyanobacterial water blooms disappeared. Cyanobacteria were found in the lake but they were not abundant. Chrysophytes and diatoms were the most abundant in springtime of each year. Green algae, desmids and chrysophytes were particularly abundant in summer, while cryptophytes predominated in autumn. Algae from all these groups do not pose a threat to either recreation or water intake. The deep chlorophyll maximum occurring in summer at a depth of 5 m as a result of restoration confirms the lower trophic status of the lake, alluding to mesotrophic conditions.
A Multi-Dimensional Equilibrium Allocation Model of Water Resources Based on a Groundwater Multiple Loop Iteration Technique
Authors: Wang Ting , Fang Guohua , Xie Xinmin , Liu Yu , Ma Zhenzhen
Published: September 2017

In this paper, a multi-dimensional equilibrium allocation model of water resources was developed based on the groundwater multiple loop iteration technique. The proposed model is an integrated framework of three modules respectively corresponding to the input layer, operation layer, and feedback layer in the allocation process. Firstly, a prediction model integrating the genetic algorithm-back propagation (GA-BP) model, the general regression neural network (GRNN) model, and the support vector machine (SVM) model was built to predict the future reservoir runoff, and the results were entered into the database of an optimal allocation model. Furthermore, taking exploitable groundwater as the feedback factor, the water resource optimal allocation model was continuously optimized. Also, the groundwater multiple loop iteration technique was applied to the feedback process. The proposed model was successfully applied to a typical region in Jinan, Eastern China. The uncertainties of future reservoir runoff and exploitable groundwater were taken into account. The results revealed that groundwater represented 36.6% of water supply in the base year, indicating that it is the main water source in Jinan. However, the amount of groundwater mining was decreased after considering the exploitable groundwater. The developed framework provides a comprehensive approach towards optimal future allocation of water resources, especially for the regions with overexploited groundwater.
Spatiotemporal Analysis of the Activity of Residential Development in Poland
Authors: Cellmer Radosław , Bełej Mirosław
Published: September 2017

The objective of the study presented in the article is to determine the spatial diversification and determinants of construction activity in Poland between 2006 and 2015. Theoretical hypotheses and observations of behaviour of economic entities clearly show that their decisions depend both on the situation in local and regional markets, as well as distances from other regions or local markets. The number and the surface area of completed residential units, as well as the number of completed buildings and issued construction permits, were adopted as the measures of construction activity. The analysis also includes selected demographic, social and economic indices characterising the individual territorial units in Poland on the basis of the local data bank maintained by the Central Statistical Office. In the course of the study, spatial panel models were used, and as a result of the study, construction activity models were obtained, taking spatial interactions into account.
The Analysis of Networks Space Structures as Important Elements
of Sustainable Space Development
Authors: Kowalczyk Anna Maria
Published: September 2017

Space as the entirety of elements occurring within it and their configuration, is subject to analysis for purposes of
optimizing activities connected with it, or generally speaking, optimal spatial management including predicting its future states
and preventing spatial conflicts. Geospatial analysis is a complex process, the essential components of which are the collection,
modelling and analysis of spatial data. Drawing proper conclusions is largely dependent on the type of spatial model developed.
The author carries out the characterization of selected types of network models for purposes of spatial analysis in the sustainable
development of space, providing examples of modelling various elements of space on the form of a network. She also touches
on the aspect of hierarchy and scale-freeness in these models, as well as the possibility of predicting future states of space, and
also using the properties of network models in decision processes to achieve sustainable development.
The Evaluation of Opportunities for the Development of Access for Charging Electric Vehicles in the Territory of Apartment Buildings
Authors: Palevičius Vytautas , Karpavičius Tomas , Kaušylas Mantas
Published: September 2017

The beginning of 21th century is extremely important for developed countries because of the reduction of their dependence on fossil fuels. The biggest vehicle manufacturing companies are planning to start selling at least one model of electric vehicle and it is expected that by 2025 approximately 10% of the new cars sold worldwide will be electric. In order to reach this goal, some countries are successfully executing an effective electric transport development policy: to create a publicly accessible network for charging electric vehicles, pay incentives for purchasing an electric car, create free of charge parking places and implement other encouraging measures. While analysing world trends it has been noted that the majority of electric cars owners live in private houses. This is due to the fact that people who are living in apartment buildings and planning on purchasing an electric car come across multiple issues when it comes to charging the car at their living area at night. Therefore, the aim of this article is to evaluate the opportunities of developing access points for charging electric cars around the territory of apartment buildings. To achieve this we have raised these main objectives: have the EU member states already foreseen the necessary measures ensuring comfortable charging of electric cars in the territory of apartment buildings?; have the plans for the development of charging facilities in the territory of apartment buildings already been prepared?; which new technologies will be used for the safe charging of electric cars?
Light and Heavy Element Abundance Variations in the Outer Halo Globular Cluster NGC 6229
Authors: Johnson Christian I. , Caldwell Nelson , Michael Rich R. , Walker Matthew G.
Published: September 2017

NGC 6229 is a relatively massive outer halo globular cluster that is primarily known for exhibiting a peculiar bimodal horizontal branch morphology. Given the paucity of spectroscopic data on this cluster, we present a detailed chemical composition analysis of 11 red giant branch members based on high resolution (R ≈ 38,000), high S/N (>100) spectra obtained with the MMT-Hectochelle instrument. We find the cluster to have a mean heliocentric radial velocity of

, a small dispersion of

, and a relatively low

. The cluster is moderately metal-poor with

dex and a modest dispersion of 0.06 dex. However, 18% (2/11) of the stars in our sample have strongly enhanced [La, Nd/Fe] ratios that are correlated with a small (∼0.05 dex) increase in [Fe/H]. NGC 6229 shares several chemical signatures with M75, NGC 1851, and the intermediate metallicity populations of ω Cen, which lead us to conclude that NGC 6229 is a lower mass iron-complex cluster. The light elements exhibit the classical (anti-)correlations that extend up to Si, but the cluster possesses a large gap in the O–Na plane that separates first and second generation stars. NGC 6229 also has unusually low [Na, Al/Fe] abundances that are consistent with an accretion origin. A comparison with M54 and other Sagittarius clusters suggests that NGC 6229 could also be the remnant core of a former dwarf spheroidal galaxy.
CARMA λ = 1 cm Spectral Line Survey of Orion-KL
Authors: Friedel Douglas N. , Looney Leslie W.
Published: September 2017

Orion-KL is a well-known high-mass star-forming region that has long been the target of spectral line surveys and searches for complex molecules. One spectral window where the region had never been surveyed is around wavelengths of λ = 1 cm. This is an important window to observe, due to the fundamental and low energy transitions of numerous complex molecules that indicate the maximum spatial extent of the molecular species; knowing the spatial distribution of a molecule aids in determining the formation mechanism(s) of that molecule. Additionally, there are fewer transitions in this window, reducing confusion caused by blended lines that can be very problematic at shorter wavelengths (

mm). In this work, we present the first spectral line survey at λ = 1 cm of the Orion-KL region. A total of 89 transitions were detected from 14 molecular species and isotopologues, and two atomic species. The observations were conducted with the Combined Array for Research in Millimeter-wave Astronomy in both interferometric and single dish modes.
Critical successful factors for innovation in vietnamese firms
Authors: Hoai Nam Tran , Phong Tuan Nham , Van Minh Nguyen
Published: September 2017

Purpose: Innovation is considered as a core element of sustainable competitive advantage in the rapidly changing environment. However, in Vietnam, researches on innovation are very rare, which are mostly general reports without underlying analyses of innovation in firms, especially determinants for innovation. Therefore, this paper focuses on analyzing critical successful factors for innovation in Vietnamese firms. Design/methodology/approach: This study used primary data through questionnaire survey from November 2015 to February 2016. Respondents were senior managers of firms located mostly at Hanoi (Northern), Hochiminh (Southern) and Danang city (Central). The questionnaire included multi-items designed to measure factors. Each item was measured by 5 point Likert scale: 1 (strongly disagree) to 5 (strongly agree). Questionnaires were administerd to 500 firms belonging to list of Vietnam Chamber of Commerce and Industry (VCCI) in these three cities with rate of 40% (Hochiminh city), 40% (Hanoi city) and Danang (20%). However, there were 360 returned questionnaires and valid to next analyses. Analysis methodologies of reliability, factor analysis and regression are utilized in this paper. Findings: We developed and tested a model of determinants for Innovation in Vietnamese firms. The major contribution of this study is testing six determinants for innovation in Vietnamese companies. The results showed that awareness of innovation, innovation strategy and policy, organization for innovation, HR for innovation and building capabilities have positive impact on innovation. Originality/value: This study makes a contribution for both academics and practitioners. For academics, this study provided one more empirical evidence of the determinants for innovation. Regarding practical implications, this study suggests that Vietnamese companies have to strengthen capabilities for employees through training, encourage generation of new ideas, rule breaking, and innovative behaviors by organizational members. Together, having high awareness of innovation, building rational innovation strategy and policy is essential factors that firms should possess and develop to enhance innovation performance. Although there is no confirmation for impact of finance on innovation level, firms should understand that increasing innovation investment can bring favorable condition to create innovation especially in SMEs.