bluuebunny/crossref_metadata_2025 huggingface dataset:
Mechanical Behavior Optimization of Chitosan Extracted from Shrimp Shells as a Sustainable Material for Shopping Bags
Authors: D’Angelo Giacomo , Elhussieny Amal , Faisal Marwa , Fahim I. S. , Everitt Nicola M.
Published: May 2018

The use of biodegradable materials for shopping bag production, and other products made from plastics, has recently been an object of intense research—with the aim of reducing the environmental burdens given by conventional materials. Chitosan is a potential material because of its biocompatibility, degradability, and non-toxicity. It is a semi-natural biopolymeric material produced by the deacetylation of chitin, which is the second most abundant natural biopolymer (after cellulose). Chitin is found in the exoskeleton of insects, marine crustaceans, and the cell walls of certain fungi and algae. The raw materials most abundantly available are the shells of crab, shrimp, and prawn. Hence, in this study chitosan was selected as one of the main components of biodegradable materials used for shopping bag production. Firstly, chitin was extracted from shrimp shell waste and then converted to chitosan. The chitosan was next ground to a powder. Although, currently, polyethylene bags are prepared by blown extrusion, in this preliminary research the chitosan powder was dissolved in a solvent and the films were cast. Composite films with several fillers were used as a reinforcement at different dosages to optimize mechanical properties, which have been assessed using tensile tests. These results were compared with those of conventional polyethylene bags used in Egypt. Overall, the chitosan films were found to have a lower ductility but appeared to be strong enough to fulfill shopping bag functions. The addition of fillers, such as chitin whiskers and rice straw, enhanced the mechanical properties of chitosan films, while the addition of chitin worsened overall mechanical behavior.
Announcing the 2018 JMSE Travel Awards for Postdoctoral Researchers and Ph.D. Students
Authors: Clare Anthony S.
Published: May 2018

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Integration of Sensor and Actuator Networks and the SCADA System to Promote the Migration of the Legacy Flexible Manufacturing System towards the Industry 4.0 Concept
Authors: Calderón Godoy Antonio José , González Pérez Isaías
Published: May 2018

Networks of sensors and actuators in automated manufacturing processes are implemented using industrial fieldbuses, where automation units and supervisory systems are also connected to exchange operational information. In the context of the incoming fourth industrial revolution, called Industry 4.0, the management of legacy facilities is a paramount issue to deal with. This paper presents a solution to enhance the connectivity of a legacy Flexible Manufacturing System, which constitutes the first step in the adoption of the Industry 4.0 concept. Such a system includes the fieldbus PROcess FIeld BUS (PROFIBUS) around which sensors, actuators, and controllers are interconnected. In order to establish effective communication between the sensors and actuators network and a supervisory system, a hardware and software approach including Ethernet connectivity is implemented. This work is envisioned to contribute to the migration of legacy systems towards the challenging Industry 4.0 framework. The experimental results prove the proper operation of the FMS and the feasibility of the proposal.
The Influence of the External Signal Modulation Waveform and Frequency on the Performance of a Photonic Forced Oscillator
Authors: Sánchez-Castro Noemi , Palomino-Ovando Martha Alicia , Estrada-Wiese Denise , Valladares Nydia Xcaret , Del Río Jesus Antonio , De la Mora Maria Beatriz , Doti Rafael , Faubert Jocelyn , Lugo Jesus Eduardo
Published: May 2018

Photonic crystals have been an object of interest because of their properties to inhibit certain wavelengths and allow the transmission of others. Using these properties, we designed a photonic structure known as photodyne formed by two porous silicon one-dimensional photonic crystals with an air defect between them. When the photodyne is illuminated with appropriate light, it allows us to generate electromagnetic forces within the structure that can be maximized if the light becomes localized inside the defect region. These electromagnetic forces allow the microcavity to oscillate mechanically. In the experiment, a chopper was driven by a signal generator to modulate the laser light that was used. The driven frequency and the signal modulation waveform (rectangular, sinusoidal or triangular) were changed with the idea to find optimal conditions for the structure to oscillate. The microcavity displacement amplitude, velocity amplitude and Fourier spectrum of the latter and its frequency were measured by means of a vibrometer. The mechanical oscillations are modeled and compared with the experimental results and show good agreement. For external frequency values of 5 Hz and 10 Hz, the best option was a sinusoidal waveform, which gave higher photodyne displacements and velocity amplitudes. Nonetheless, for an external frequency of 15 Hz, the best option was the rectangular waveform.
Standard Reference Materials for Cement Paste: Part II-Determination of Mixing Ratios
Authors: Lee Dong Kyu , Choi Myoung Sung
Published: May 2018

A variety of special concrete structures have been designed for domestic and overseas construction markets that require highly advanced construction technology. Therefore, it is necessary to secure quantitative construction technology and develop a standard reference material (hereinafter: SRM) with consistent flow performance and quality in order to evaluate the quantitative performance of flowability. On the other hand, the flowability of concrete is influenced greatly by the flowability of the cement paste. In addition, considering the design strength and workability, the mix design was carried out at various mixing ratios, according to the purpose of the site. Therefore, based on the derived components of standard reference materials for cement paste, this paper proposes a mixing ratio for standard reference materials that can uniformly simulate the flow characteristics of cement paste, according to the water–cement ratio (W/C). The results show that yield stress was determined by the ratio of water and glycerol while plastic viscosity was controlled by the limestone content. Finally, the mixing ratio of standard reference materials that can simulate the rheological properties of cement paste by W/C was suggested.
Some Notes about Inference for the Lognormal Diffusion Process with Exogenous Factors
Authors: Román-Román Patricia , Serrano-Pérez Juan José , Torres-Ruiz Francisco
Published: May 2018

Different versions of the lognormal diffusion process with exogenous factors have been used in recent years to model and study the behavior of phenomena following a given growth curve. In each case considered, the estimation of the model has been addressed, generally by maximum likelihood (ML), as has been the study of several characteristics associated with the type of curve considered. For this process, a unified version of the ML estimation problem is presented, including how to obtain estimation errors and asymptotic confidence intervals for parametric functions when no explicit expression is available for the estimators of the parameters of the model. The Gompertz-type diffusion process is used here to illustrate the application of the methodology.
The Genus Wallemia—From Contamination of Food to Health Threat
Authors: Zajc Janja , Gunde-Cimerman Nina
Published: May 2018

The fungal genus Wallemia of the order Wallemiales (Wallemiomycotina, Basidiomycota) comprises the most xerotolerant, xerophilic and also halophilic species worldwide. Wallemia spp. are found in various osmotically challenged environments, such as dry, salted, or highly sugared foods, dry feed, hypersaline waters of solar salterns, salt crystals, indoor and outdoor air, and agriculture aerosols. Recently, eight species were recognized for the genus Wallemia, among which four are commonly associated with foods: W. sebi, W. mellicola, W. muriae and W. ichthyophaga. To date, only strains of W. sebi, W. mellicola and W. muriae have been reported to be related to human health problems, as either allergological conditions (e.g., farmer’s lung disease) or rare subcutaneous/cutaneous infections. Therefore, this allergological and infective potential, together with the toxins that the majority of Wallemia spp. produce even under saline conditions, defines these fungi as filamentous food-borne pathogenic fungi.
Dietary Iron Bioavailability: Agreement between Estimation Methods and Association with Serum Ferritin Concentrations in Women of Childbearing Age
Authors: De Carli Eduardo , Dias Gisele Cristina , Morimoto Juliana Massami , Marchioni Dirce Maria Lobo , Colli Célia
Published: May 2018

Predictive iron bioavailability (FeBio) methods aimed at evaluating the association between diet and body iron have been proposed, but few studies explored their validity and practical usefulness in epidemiological studies. In this cross-sectional study involving 127 women (18–42 years) with presumably steady-state body iron balance, correlations were checked among various FeBio estimates (probabilistic approach and meal-based and diet-based algorithms) and serum ferritin (SF) concentrations. Iron deficiency was defined as SF < 15 µg/L. Pearson correlation, Friedman test, and linear regression were employed. Iron intake and prevalence of iron deficiency were 10.9 mg/day and 12.6%. Algorithm estimates were strongly correlated (0.69≤ r ≥0.85; p < 0.001), although diet-based models (8.5–8.9%) diverged from meal-based models (11.6–12.8%; p < 0.001). Still, all algorithms underestimated the probabilistic approach (17.2%). No significant association was found between SF and FeBio from Monsen (1978), Reddy (2000), and Armah (2013) algorithms. Nevertheless, there was a 30–37% difference in SF concentrations between women stratified at extreme tertiles of FeBio from Hallberg and Hulthén (2000) and Collings’ (2013) models. The results demonstrate discordance of FeBio from probabilistic approach and algorithm methods while suggesting two models with best performances to rank individuals according to their bioavailable iron intakes.
Milk-Related Symptoms and Immunoglobulin E Reactivity in Swedish Children from Early Life to Adolescence
Authors: Protudjer Jennifer L. P. , Olén Ola , Vetander Mirja , Kull Inger , Melén Erik , Van Hage Marianne , Wickman Magnus , Bergström Anna
Published: May 2018

Cow’s milk often causes symptoms in infants. Whereas, some continue to experience symptoms through childhood, others become tolerant. Yet, the ages at which persistence and tolerance occur are less clear. Thus, we examined the age of onset and persistence of milk-related symptoms from early life to adolescence, and Immunoglobulin E (IgE) milk reactivity, focusing on gender differences in a large, population-based birth cohort. Overall, 20.0% (537/2985) of children, with a comparable gender distribution, had early life milk-related symptoms. At 16y, approximately 2% (62/2985) children had persistent symptoms and high milk IgE levels (e.g., median at 4 years: 1.5 kUA/L) that were beginning in early life. In contrast, 94% had transient symptoms and low median IgE levels (early life: 0.63 kUA/L, 8y: 0.72 kUA/L; 16 years: 1.1 kUA/L). Also, at 16 years, approximately 6% of females and 3% of males without any previously reported symptoms reported adolescent-onset of symptoms (p < 0.001). Such symptoms were almost exclusively gastrointestinal symptoms and were not associated with detectable IgE. In conclusion, early life milk-related symptoms are common, although most cases are transient by 16 years. Twice as many females vs. males report adolescent-onset symptoms, and particularly gastrointestinal symptoms. Children with persistent symptoms have both a higher prevalence and higher milk IgE levels, as compared to other phenotypes.
A Short Peptide Inhibitor as an Activity-Based Probe for Matriptase-2
Authors: Mangold Martin , Gütschow Michael , Stirnberg Marit
Published: May 2018

Matriptase-2 is a type II transmembrane serine protease and a key regulator of systemic iron homeostasis. Since the activation mechanism and several features of the physiological role of matriptase-2 are not fully understood, there is strong need for analytical tools to perform tasks such as distinguishing active and inactive matriptase-2. For this purpose we present a short biotinylated peptide derivative with a chloromethyl ketone group, biotin-RQRR-CMK, as an activity-based probe for matriptase-2. Biotin-RQRR-CMK was kinetically characterized and exhibited a second-order rate constant of inactivation (kinac/Ki) of 10,800 M−1 s−1 towards the matriptase-2 activity in the supernatant of transfected human embryonic kidney (HEK) cells. Biotin-RQRR-CMK was able to label active matriptase-2, as visualized in western blot experiments. Pretreatment with aprotinin, an active-site directed inhibitor of serine proteases, protected matriptase-2 from the reaction with biotin-RQRR-CMK.
PANI Branches onto Donor-Acceptor Copolymers: Synthesis, Characterization and Electroluminescent Properties of New 2D-Materials
Authors: Jessop Ignacio A. , Díaz Fernando R. , Terraza Claudio A. , Tundidor-Camba Alain , Leiva Ángel , Cattin Linda , Bèrnede Jean-Christian
Published: May 2018

A new series of two-dimensional statistical conjugated polymers based on aniline and 9,9-dihexylfluorene as donor units and benzo- or naphtho-quinoxaline/thiadiazole derivatives as acceptor moieties, possessing PANI segments as side chains, were designed and synthesized. To investigate the effects of the perpendicular PANI branches on the properties of the main chain, the optical, electrochemical, morphological and electroluminescence properties were studied. The 2D materials tend to possess lower molecular weights and to absorb and to emit light red-shifted compared to the trunk 1D-polymers, in the yellow-red region of the visible spectrum. The 1D- and 2D-conjugated polymers present optical band gaps ranging from 2.15–2.55 eV, HOMO energy levels between −5.37 and −5.60 eV and LUMO energy levels between −3.02 and −3.29 eV. OLED devices based on these copolymers were fabricated. Although the performances were far from optimal due to the high turn-on voltages for which electroluminescence phenomena occur, a maximum luminescence of 55,100 cd/m2 together with a current density of 65 mA/cm2 at 18.5 V were recorded for a 2D-copolymer, PAFC6TBQ-PANI.
Polymorphic Behavior and Phase Transition of Poly(1-Butene) and Its Copolymers
Authors: Xin Rui , Zhang Jie , Sun Xiaoli , Li Huihui , Ren Zhongjie , Yan Shouke
Published: May 2018

The properties of semicrystalline polymeric materials depend remarkably on their structures, especially for those exhibiting a polymorphic behavior. This offers an efficient way to tailor their properties through crystal engineering. For control of the crystal structure, and therefore the physical and mechanical properties, a full understanding of the polymorph selection of polymers under varied conditions is essential. This has stimulated a mass of research work on the polymorphic crystallization and related phase transformation. Considering that the isotactic poly(1-butene) (iPBu) exhibits pronounced polymorphs and complicated transition between different phases, the study on its crystallization and phase transformation has attracted considerable attention during the past decades. This review provides the context of the recent progresses made on the crystallization and phase transition behavior of iPBu. We first review the crystal structures of known crystal forms and then their formation conditions and influencing factors. In addition, the inevitable form II to form I spontaneous transition mechanism and the transformation kinetics is reviewed based on the existing research works, aiming for it to be useful for its processing in different phases and the further technical development of new methods for accelerating or even bypass its form II to form I transformation.
Preparation, Structure, and Properties of Silk Fabric Grafted with 2-Hydroxypropyl Methacrylate Using the HRP Biocatalyzed ATRP Method
Authors: Yang Jinqiu , Lu Shenzhou , Xing Tieling , Chen Guoqiang
Published: May 2018

Atom transfer radical polymerization (ATRP) is a “living”/controlled radical polymerization, which is also used for surface grafting of various materials including textiles. However, the commonly used metal complex catalyst, CuBr, is mildly toxic and results in unwanted color for textiles. In order to replace the transition metal catalyst of surface-initiated ATRP, the possibility of HRP biocatalyst was investigated in this work. 2-hydroxypropyl methacrylate (HPMA) was grafted onto the surface of silk fabric using the horseradish peroxidase (HRP) biocatalyzed ATRP method, which is used to improve the crease resistance of silk fabric. The structure of grafted silk fabric was characterized by Fourier transform infrared spectrum, X-ray photoelectron spectroscopy, thermogravimetic analysis, and scanning electron microscopy. The results showed that HPMA was successfully grafted onto silk fabric. Compared with the control silk sample, the wrinkle recovery property of grafted silk fabric was greatly improved, especially the wet crease recovery property. However, the whiteness, breaking strength, and moisture regain of grafted silk fabric decreased somewhat. The present work provides a novel, biocatalyzed, environmentally friendly ATRP method to obtain functional silk fabric, which is favorable for clothing application and has potential for medical materials.
Utilizing Optimized Tools to Investigate PTM Crosstalk: Identifying Potential PTM Crosstalk of Acetylated Mitochondrial Proteins
Authors: Horita Henrick , Law Andy , Middleton Kim
Published: May 2018

Post-translational modification (PTM) crosstalk is recognized as a major cell-regulatory mechanism, and studies of several proteins have validated the premise that PTMs work in concert. Previous work by our group investigated the potential PTM crosstalk on proteins in the EGFR-Ras-c-Fos axis by utilizing a comprehensive set of PTM reagents termed Signal-Seeker toolkits. In this study, these tools were used to investigate the potential PTM crosstalk that occurs in acetylated mitochondrial proteins in response to a mitochondrial stress-inducing agent hydrogen peroxide (H2O2). Mitochondrial protein acetylation has been shown to participate in PTM crosstalk as exemplified by the regulation of the pyruvate dehydrogenase complex via kinase, phosphatase, acetyltransferase, and deacetylase activities. Changes in the acetylated state of mitochondrial proteins were investigated, in response to H2O2, using a novel anti acetyl lysine (Ac-K) antibody. Signal-Seeker PTM detection tools were used to validate the acetylation state of ten mitochondrial targets, as well as their endogenous acetylation state in response to H2O2. Importantly, the endogenous acetylation, ubiquitination, SUMOylation 2/3, and tyrosine phosphorylation state of four target mitochondrial proteins were also investigated with the toolkit. Each of the four proteins had unique PTM profiles, but diverging acetylation and ubiquitin or SUMO 2/3 signals appeared to be a common theme. This proof-of-concept study identifies the Signal-Seeker toolkits as a useful tool to investigate potential PTM crosstalk.
‘Requiescat in Pace’. Initiation and Assassination Rituals in the Assassin’s Creed Game Series
Authors: Bosman F. (Frank) G.
Published: May 2018

The Assassin’s Creed game series (Ubisoft 2007, 2009, 2010, 2011, 2012, 2013a, 2013b, 2014, 2015, 2017) revolves around an alternative interpretation of human history as an ongoing battle between two rival factions: the Assassin Brotherhood (modelled on the historical Nizar Isma’ilis) and the Templar Order (inspired by the historical Order of the Knights Templar). Both factions compete over the possession of mythical artefacts, called the ‘Apples of Eden’, which once belonged to a now extinct proto-human race. The possession of these artefacts gives the owner incredible knowledge and the ability to manipulate large numbers of people. The Templars strive for world domination, while the Assassins want to prevent this; their aim is to develop human consciousness and individual freedom. Considering games as ‘playable texts’, I make an inventory of three in-game rituals, two of the Assassin Brotherhood and one of the Templar Order. Both initiation and assassination rituals are quite elaborate given the context of the games in which they are displayed. Progression and regression can be observed in terms of ritual practices within the primary series of the game series, which stretches from ancient Egypt to modernity. This article describes the three ritual practices mentioned within the Assassin’s Creed series, and links them to the larger metanarrative of the series.
Rice Hulls as a Renewable Complex Material Resource
Authors: Glushankova Irina , Ketov Aleksandr , Krasnovskikh Marina , Rudakova Larisa , Vaisman Iakov
Published: May 2018

As a result of rice grain processing, a big amount of waste (up to 20%) is produced. It is mainly rice hulls. The main components of rice hulls are cellulose, lignin and mineral ash. The mineral ash quantity in rice hulls varies from 15 up to 20%, by weight of the rice hulls. The mineral ash consists of amorphous silica (opal-type). Due to the high content of silica in rice hulls, the material burns with difficulty under natural conditions, and it is biodegradably destroyed only with difficulty, when composted. Utilization of rice hulls then becomes an ecological problem due to huge rice production and its continuous growth. At the same time, the annual quantity of silica content in rice hulls is comparable with the quantity of amorphous silica produced as a mineral resource. The issue of manufacturing cellular glass silica construction materials from rice hulls as a renewable resource is discussed in this paper. The utilization technology is based on an amorphous silicon oxide with the use of energy from the combustion of the organic component of rice hulls.
Automated Extraction of Surface Water Extent from Sentinel-1 Data
Authors: Huang Wenli , DeVries Ben , Huang Chengquan , Lang Megan W. , Jones John W. , Creed Irena F. , Carroll Mark L.
Published: May 2018

Accurately quantifying surface water extent in wetlands is critical to understanding their role in ecosystem processes. However, current regional- to global-scale surface water products lack the spatial or temporal resolution necessary to characterize heterogeneous or variable wetlands. Here, we proposed a fully automatic classification tree approach to classify surface water extent using Sentinel-1 synthetic aperture radar (SAR) data and training datasets derived from prior class masks. Prior classes of water and non-water were generated from the Shuttle Radar Topography Mission (SRTM) water body dataset (SWBD) or composited dynamic surface water extent (cDSWE) class probabilities. Classification maps of water and non-water were derived over two distinct wetlandscapes: the Delmarva Peninsula and the Prairie Pothole Region. Overall classification accuracy ranged from 79% to 93% when compared to high-resolution images in the Prairie Pothole Region site. Using cDSWE class probabilities reduced omission errors among water bodies by 10% and commission errors among non-water class by 4% when compared with results generated by using the SWBD water mask. These findings indicate that including prior water masks that reflect the dynamics in surface water extent (i.e., cDSWE) is important for the accurate mapping of water bodies using SAR data.
Evolution and Controls of Large Glacial Lakes in the Nepal Himalaya
Authors: Haritashya Umesh K. , Kargel Jeffrey S. , Shugar Dan H. , Leonard Gregory J. , Strattman Katherine , Watson C. Scott , Shean David , Harrison Stephan , Mandli Kyle T. , Regmi Dhananjay
Published: May 2018

Glacier recession driven by climate change produces glacial lakes, some of which are hazardous. Our study assesses the evolution of three of the most hazardous moraine-dammed proglacial lakes in the Nepal Himalaya—Imja, Lower Barun, and Thulagi. Imja Lake (up to 150 m deep; 78.4 × 106 m3 volume; surveyed in October 2014) and Lower Barun Lake (205 m maximum observed depth; 112.3 × 106 m3 volume; surveyed in October 2015) are much deeper than previously measured, and their readily drainable volumes are slowly growing. Their surface areas have been increasing at an accelerating pace from a few small supraglacial lakes in the 1950s/1960s to 1.33 km2 and 1.79 km2 in 2017, respectively. In contrast, the surface area (0.89 km2) and volume of Thulagi lake (76 m maximum observed depth; 36.1 × 106 m3; surveyed in October 2017) has remained almost stable for about two decades. Analyses of changes in the moraine dams of the three lakes using digital elevation models (DEMs) quantifies the degradation of the dams due to the melting of their ice cores and hence their natural lowering rates as well as the potential for glacial lake outburst floods (GLOFs). We examined the likely future evolution of lake growth and hazard processes associated with lake instability, which suggests faster growth and increased hazard potential at Lower Barun lake.
Hyperspectral and Multispectral Image Fusion via Deep Two-Branches Convolutional Neural Network
Authors: Yang Jingxiang , Zhao Yong-Qiang , Chan Jonathan Cheung-Wai
Published: May 2018

Enhancing the spatial resolution of hyperspectral image (HSI) is of significance for applications. Fusing HSI with a high resolution (HR) multispectral image (MSI) is an important technology for HSI enhancement. Inspired by the success of deep learning in image enhancement, in this paper, we propose a HSI-MSI fusion method by designing a deep convolutional neural network (CNN) with two branches which are devoted to features of HSI and MSI. In order to exploit spectral correlation and fuse the MSI, we extract the features from the spectrum of each pixel in low resolution HSI, and its corresponding spatial neighborhood in MSI, with the two CNN branches. The extracted features are then concatenated and fed to fully connected (FC) layers, where the information of HSI and MSI could be fully fused. The output of the FC layers is the spectrum of the expected HR HSI. In the experiment, we evaluate the proposed method on Airborne Visible Infrared Imaging Spectrometer (AVIRIS), and Environmental Mapping and Analysis Program (EnMAP) data. We also apply it to real Hyperion-Sentinel data fusion. The results on the simulated and the real data demonstrate that the proposed method is competitive with other state-of-the-art fusion methods.
Combining TerraSAR-X and Landsat Images for Emergency Response in Urban Environments
Authors: Havivi Shiran , Schvartzman Ilan , Maman Shimrit , Rotman Stanley R. , Blumberg Dan G.
Published: May 2018

Rapid damage mapping following a disaster event, especially in an urban environment, is critical to ensure that the emergency response in the affected area is rapid and efficient. This work presents a new method for mapping damage assessment in urban environments. Based on combining SAR and optical data, the method is applicable as support during initial emergency planning and rescue operations. The study focuses on the urban areas affected by the Tohoku earthquake and subsequent tsunami event in Japan that occurred on 11 March 2011. High-resolution TerraSAR-X (TSX) images of before and after the event, and a Landsat 5 image before the event were acquired. The affected areas were analyzed with the SAR data using only one interferometric SAR (InSAR) coherence map. To increase the damage mapping accuracy, the normalized difference vegetation index (NDVI) was applied. The generated map, with a grid size of 50 m, provides a quantitative assessment of the nature and distribution of the damage. The damage mapping shows detailed information about the affected area, with high overall accuracy (89%), and high Kappa coefficient (82%) and, as expected, it shows total destruction along the coastline compared to the inland region.
Registration of Panoramic/Fish-Eye Image Sequence and LiDAR Points Using Skyline Features
Authors: Zhu Ningning , Jia Yonghong , Ji Shunping
Published: May 2018

We propose utilizing a rigorous registration model and a skyline-based method for automatic registration of LiDAR points and a sequence of panoramic/fish-eye images in a mobile mapping system (MMS). This method can automatically optimize original registration parameters and avoid the use of manual interventions in control point-based registration methods. First, the rigorous registration model between the LiDAR points and the panoramic/fish-eye image was built. Second, skyline pixels from panoramic/fish-eye images and skyline points from the MMS’s LiDAR points were extracted, relying on the difference in the pixel values and the registration model, respectively. Third, a brute force optimization method was used to search for optimal matching parameters between skyline pixels and skyline points. In the experiments, the original registration method and the control point registration method were used to compare the accuracy of our method with a sequence of panoramic/fish-eye images. The result showed: (1) the panoramic/fish-eye image registration model is effective and can achieve high-precision registration of the image and the MMS’s LiDAR points; (2) the skyline-based registration method can automatically optimize the initial attitude parameters, realizing a high-precision registration of a panoramic/fish-eye image and the MMS’s LiDAR points; and (3) the attitude correction values of the sequences of panoramic/fish-eye images are different, and the values must be solved one by one.
Influence of a Pulsed Electric Field on Charge Generation in a Flowing Protein Solution
Authors: Ivanov Yuri D. , Kozlov Andrey F. , Galiullin Rafael A. , Tatur Vadim Yu. , Ziborov Vadim S. , Usanov Sergey A. , Pleshakova Tatyana O.
Published: May 2018

It is known that a charge is generated in water and protein solutions upon their motion; this phenomenon is also observed in analytical systems for atomic force microscopy (AFM)-based fishing. At that, the efficiency of protein fishing correlates with the value of charge, generated upon the motion of the analyzed solution. Earlier, we demonstrated that a pulsed electric field can well be used for the enhancement of the efficiency of AFM-based fishing of low-abundant protein. In this paper, we have demonstrated the influence of a pulsed electric field on the stimulation of the electric charge generation in a solution of low-abundant proteins observed in the injector part of an AFM-based fishing system at 23 °C and 38 °C. Taking this effect into account is important for the development of novel highly sensitive flow-based diagnostic systems, as well as for the development of models describing the influence of a pulsed electric field on pathological processes in the body, hemodynamics, and physicochemical properties of solutions.
Visual Representations of Radiation Risk and the Question of Public (Mis-)Trust in Post-Fukushima Japan
Authors: Feldhoff Thomas
Published: May 2018

In the aftermath of the March 2011 Fukushima nuclear power plant disaster, an estimated 150,000 residents of Fukushima Prefecture were displaced because of both real and perceived risks of radioactive contamination. While previous research has provided ample insight into the causes and effects of the disaster, there is a lack of analysis of the production of visual representations of radiation risk. This article aims to fill this gap by exploring the question of what different cartographic representations of the types and levels of radioactive radiation are available; what information is released and how people get informed; how certain areas are considered ‘safe’; and how arbitrarily government organizations draw and remove spatial boundaries of ‘safe areas’. Due to the particular concern of children, who have a comparatively low-threshold radiation tolerance, the focus is on child care facilities and elementary schools. The article identifies different sources of public mistrust in the context of information seeking and sharing and addresses this issue as part of the larger question of institutionalized information processes in Japan. This also includes a prudent assessment of the increasing importance of citizen science in Japan, a society of traditionally technocratic, paternalistic, top-down approaches to public policy making. The paper concludes that because of the growing mistrust of the general public in Japan’s elites, civic engagement should focus on gaining more influence on the political discourse, agenda-setting and collaborative planning and policy.
Moderating the Role of Firm Size in Sustainable Performance Improvement through Sustainable Supply Chain Management
Authors: Wang Jing , Zhang Yuchen , Goh Mark
Published: May 2018

In the context of the Chinese government’s strategy for sustainable development, the study of sustainable supply chain management (SSCM) for enterprises has important practical significance. Drawing data from 172 Chinese firms, the model studied the moderating role of firm size on the SSCM practices and the sustainable performance of the firms (economic, environmental, and social), using hierarchical regression analysis on SPSS 22.0. The results suggest that SSCM practices and firm size are positively related to the firm’s environmental and social performance. Firm size moderates the effect of SSCM practices on economic performance. Additionally, SSCM internal practices have a significant positive impact on the economic performance of large enterprises, but not so much on the economic performance of the Small and medium enterprises(SMEs). This paper proposes a comprehensive SSCM practice performance model that identifies firm size as a moderating role. Through research on the moderating effect of firm size, the implementation and recommendation of SSCM for different firm size are given.
Context-Aware Multimodal FIDO Authenticator for Sustainable IT Services
Authors: Kim Seung-Hyun , Choi Daeseon , Kim Soo-Hyung , Cho Sangrae , Lim Kyung-Soo
Published: May 2018

Existing sustainable IT services have several problems related to user authentication such as the inefficiency of managing the system security, low security, and low usability. In this paper, we propose a Fast IDentity Online (FIDO) authenticator that performs continuous authentication with implicit authentication based on user context and multimodal authentication. The proposed FIDO authenticator, a context-aware multimodal FIDO authentication (CAMFA) method, combines information such as the user context, state of the mobile device, and user biometrics, then applies implicit and explicit authentication methods to meet the level of authentication required by the service provider. This reduces the user’s explicit authentication burden and continually authenticates users at risk during the session. Moreover, it is able to respond to attacks such as the theft of the authentication method or session hijacking. To study the effectiveness of CAMFA, we ran a user study by collecting data from 22 participants over 42 days of activity on a practical Android platform. The result of the user study demonstrates that the number of explicit authentication requests could be reduced by half. Based on the results of this study, an advanced user authentication that provides multimodal and continuous authentication could be applied to sustainable IT services.
Toward Supply Chain Sustainability: Governance and Implementation of Joint Sustainability Development
Authors: Xu Yongmei , Yoon Jiho , Kim Myung Kyo , Sheu Chwen
Published: May 2018

The extant sustainability literature has argued that supply chain (SC) members can gain both financial and operational benefits from a joint sustainability development (JSD) effort. However, no guidance has been provided on how SC members could collaborate on their sustainability development efforts to achieve the intended economic performance. This study addressed this research gap by proposing different contractual governances, based on a game-theoretic approach, for both manufacturer and retailer to better engage in JSD. Specifically, multiple JSD contractual arrangements regarding profit and associated cost sharing between manufacturers and retailers were defined and evaluated. Our analyses show that the manufacturer behaves opportunistically when the impact of a retailer’s effort on consumer demand is low. In other words, the retailer increases its sustainability effort, but not the manufacturer. However, such opportunistic behavior can be removed under a revenue sharing arrangement. That is, the manufacturer becomes cooperative with the retailer, and both retailer and manufacturer increase their JSD efforts. Several numerical experiments were conducted to assess the effectiveness of various revenue sharing arrangements (no sharing, partial profit sharing, and total profit sharing) in devising and implementing a mutually beneficial JSD program. Accordingly, several guidelines for the SC JSD implementation are provided.
A Simulation of Rainwater Harvesting Design and Demand-Side Controls for Large Hospitals
Authors: Fulton Lawrence
Published: May 2018

Inpatient health buildings in the United States are the most intensive users of water among large commercial buildings. Large facilities (greater than 1 million square feet) consume an average of 90 million gallons per building per year. The distribution and treatment of water imposes a significant electrical power demand, which may be the single largest energy requirement for various states. Supply and demand-side solutions are needed, particularly in arid and semi-arid regions where water is scarce. This study uses continuous simulations based on 71 years of historical data to estimate how rainwater harvesting systems and demand-side interventions (e.g., low-flow devices, xeriscaping) would offset the demand for externally-provided water sources in a semi-arid region. Simulations from time series models are used to generate alternative rainfall models to account for potential non-stationarity and volatility. Results demonstrate that hospital external water consumption might be reduced by approximately 25% using conservative assumptions and depending on the design of experiment parameters associated with rainfall capture area, building size, holding tank specifications, and conservation efforts.
Developing a Model to Assess the Potential Impact of TUM Hydropower Turbines on Small River Ecology
Authors: Yao Weiwei , Chen Yuansheng , Yu Guoan , Xiao Mingzhong , Ma Xiaoyi , Lei Fakai
Published: May 2018

Small hydropower is a renewable energy technology that is used for electricity generation worldwide, but still has potential for further development. However, during the installation of small hydropower, the ecological impacts of the power plants need to be thoroughly investigated. In addressing the challenges of energy production and minimizing the environmental impacts of small hydropower installation and operation, this study has applied an ecohydraulic model to investigate river hydrodynamics, hydromorphology, habitat, and the population impacts of small hydropower, and presented the Mum River as a case study. Two scenarios were implemented in this research to simulate the hydrodynamic, sedimentation, habitat, and population status in order to assess the potential effects caused by the TUM plant. At the Mum River, two scenarios were proposed: the TUM plant was not considered in scenario S1, but was considered in scenario S2. The model results for scenario S2 indicated that the habitat was suitable for fish species living in the Mum River, with fish population numbers between 4.6 × 103 and 6.6 × 103. The S2 results indicated that the impacts of the TUM plant were negligible when compared with S1. Although the impact of the TUM plant on the Mum River is relatively large when the discharge is high (19 m3/s), calculations based on stable flow shows that the TUM plant could function well on the river ecosystem when the discharge is low or at normal rates. Therefore, this study shows that the TUM plant would be a good option to meet the needs of energy generation whilst having a minimal impact on river habitats and changes in fish species population in similar small rivers and streams.
Environmental Behavior of Secondary Education Students: A Case Study at Central Greece
Authors: Ntanos Stamatios , Kyriakopoulos Grigorios , Arabatzis Garyfallos , Palios Vasilios , Chalikias Miltiadis
Published: May 2018

During the last three decades, human behavior has been becoming energy alarming towards environmental sustainability. One of the most influential initiatives towards environmental protection and increased environmental consciousness is the solidification of primary and secondary environmental education. The purpose of this paper is to investigate different environmental profiles amongst secondary education students, in light of a multi-parametric analysis that involved the contributive role of school and family towards environmental awareness and participation. By reviewing relevant studies, the benefits offered by environmental education are presented. Accordingly, a questionnaire survey was deployed using a sample of 270 secondary education students, from schools situated in the prefecture of Larissa, central Greece. The statistical methods included factor analysis and cluster analysis. Particularly, four groups of different environmental characteristics are identified and interviewed. Results suggest that most students are environmental affectionate, although there is a need for more solidified environmental education and motivation from out-of-school societal opportunities, such as in the contexts of family and public socialization. The deployed research method and analysis can be proven supportive in adopting and scheduling school environmental programs after an initial identification of the various environmental attitudes among the student population.
Designing Business Solutions for Plastic Waste Management to Enhance Circular Transitions in Kenya
Authors: Horvath Balint , Mallinguh Edmund , Fogarassy Csaba
Published: May 2018

Least-developed countries face many challenges regarding their plastic waste management systems. In 2017, Kenya imposed a selective ban targeting manufacturers and consumers of plastic carrier bags. However, this selectivity does not avoid the continuous use of other plastic products. The present paper states that circular priorities, which have been defined to advanced economies, would not be entirely valid for the rest of the world. While high-income countries face only the impacts of their own consumption, developing nations must endure the externalities of these developed economies. Thus, the focus of the least developed part of the world must not be on reducing its relatively normal (or even low) consumption, but to manage its surplus material flow. According to the employed circular evaluation methodology (CEV—Circular Economic Value), the circularity level in Kenya’s plastic material flow stands on a rather low stage with 32.72%. This result outlines the linear deficiencies of the plastic waste management system and urges the prevention of further material leakage (such as energy use). Through the Business Model Canvas (BMC) approach this study offers a holistic business solution which can improve the system’s sustainability.
An Empirical Study on Optimal Strategies of Industry-University-Institute Green Innovation with Subsidy
Authors: Wu Wenqing , Yu Kexin , Ma Saixiang , Chu Chien-Chi , Li Shijie , Ma Chengcheng , Tsai Sang-Bing
Published: May 2018

With the increasing awareness of environmental protection and the complexity and rapid change of technological innovation, more and more enterprises seek to develop and research (R&D) institutions to cooperate with green innovation. In order to promote the cooperation efficiency of green innovation, this paper develops a multi-stage game model to analyze the optimal strategies of the enterprise, the university and the policy-maker with consumer learning and government subsidy. Then the paper compares the difference of optimal subsidy between the single-stage green innovation cooperation and the multi-stage green innovation cooperation. The research shows that consumers’ initial learning factors and green innovation cooperation cycle have a significant impact on the optimal input level of the enterprise and the university and also have a significant impact on the optimal subsidy of the government. The specific government subsidy and subsidy ratio depend on the comprehensive role of consumer learning factors and the green innovation cooperation cycle. In the end, we propose that the government should subsidize the university at times when the initial consumer learning factor is low; the government subsidy should be properly lagged when the initial consumer learning factor is high.
Firm Characteristics, Uncertainty and Research and Development (R&D) Investment: The Role of Size and Innovation Capacity
Authors: Jung Sungmoon , Kwak Gihyun
Published: May 2018

This paper examines the investment behavior of research and development (R&D) under uncertainty. We assume that there is a heterogeneous effect of uncertainty on R&D investment depending on characteristics of a firm. According to the results, the size and the innovation capacity of a firm are found to positively moderate the negative relationship between uncertainty and R&D investment. When the entire sample is divided into large and small-and-medium enterprises and high innovation capacity and low innovation capacity, it is found that the innovation capacity of a firm is a more crucial factor in positively moderating the negative relationship between R&D investment and uncertainty than the size of a firm. These findings provide policy implications, particularly for small-and-medium enterprises (SMEs), to promote R&D activities.
Conflict over Mining in Rural China: A Comprehensive Survey of Intentions and Strategies for Environmental Activism
Authors: Yang Xiuyun , Ho Peter
Published: May 2018

Mining causes severe adverse effects such as pollution and forced resettlement. Accordingly, it has prompted conflicts that are also evident in China. Our study assesses whether and how rural residents’ engage in environmental activism (EA) against mining. This is achieved by constructing a model of EA strategies, coupled to variables that examine respondents’ intentions. The model uses data from a survey (n = 352) covering 37 villages spread over 5 provinces and 1 provincial-level municipality. The model is based on a refinement of the theory of planned behavior (TPB). Various findings are reported: (1) a majority of respondents (77%) believes that pollution in the mining areas is serious; (2) there is pessimism about the effects of EA with 41% believing it does not improve the environment, and less than one-fifth feeling the government supports EA, contradictorily; (3) well over half has engaged in one or more forms of EA, while (4) dominant EA strategies consist of complaining to local government or village authorities (both over 40%), or open protest (opted for by over 17%); (5) economic dependency and gender affect the intention for EA, as those employed in mining and women are less inclined to participate. Whereas studies pointed to “inclined abstainers” or the “silent majority”, this study ascertains that—with regard to mining—rural residents are not silent. We posit that a threshold of environmental endurance might have been reached. In this context, policymakers need to tackle the adverse effects of mining, as it is likely to generate more violent confrontations that ultimately pose risks to political credibility and social stability.