bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparison of Vegetation Indices Derived from UAV Data for Differentiation of Tillage Effects in Agriculture
Authors: Yeom Junho , Jung Jinha , Chang Anjin , Ashapure Akash , Maeda Murilo , Maeda Andrea , Landivar Juan
Published: July 2019

Unmanned aerial vehicle (UAV) platforms with sensors covering the red-edge and near-infrared (NIR) bands to measure vegetation indices (VIs) have been recently introduced in agriculture research. Consequently, VIs originally developed for traditional airborne and spaceborne sensors have become applicable to UAV systems. In this study, we investigated the difference in tillage treatments for cotton and sorghum using various RGB and NIR VIs. Minimized tillage has been known to increase farm sustainability and potentially optimize productivity over time; however, repeated tillage is the most commonly-adopted management practice in agriculture. To this day, quantitative comparisons of plant growth patterns between conventional tillage (CT) and no tillage (NT) fields are often inconsistent. In this study, high-resolution and multi-temporal UAV data were used for the analysis of tillage effects on plant health and the performance of various vegetation indices investigated. Time series data over ten dates were acquired on a weekly basis by RGB and multispectral (MS) UAV platforms: a DJI Phantom 4 Pro and a DJI Matrice 100 with the SlantRange 3p sensor. Ground reflectance panels and an ambient illumination sensor were used for the radiometric calibration of RGB and MS orthomosaic images, respectively. Various RGB and NIR-based vegetation indices were then calculated for the comparison between CT and NT treatments. In addition, a one-tailed Z-test was conducted to check the significance of VIs’ difference between CT and NT treatments. The results showed distinct differences in VIs between tillage treatments during the whole growing season. NIR-based VIs showed better discrimination performance than RGB-based VIs. Out of 13 VIs, the modified soil adjusted vegetation index (MSAVI) and optimized soil adjusted vegetation index (OSAVI) showed better performance in terms of quantitative difference measurements and the Z-test between tillage treatments. The modified green red vegetation index (MGRVI) and excess green (ExG) showed reliable separability and can be an alternative for economic RGB UAV application.
The Influence of Geostatistical Prior Modeling on the Solution of DCT-Based Bayesian Inversion: A Case Study from Chicken Creek Catchment
Authors: Moghadas Davood , Vrugt Jasper A.
Published: July 2019

Low frequency loop-loop electromagnetic induction (EMI) is a widely-used geophysical measurement method to rapidly measure in situ the apparent electrical conductivity (ECa) of variably-saturated soils. Here, we couple Bayesian inversion of a quasi-two-dimensional electromagnetic (EM) model with image compression via the discrete cosine transform (DCT) for subsurface electrical conductivity (EC) imaging. The subsurface EC distributions are obtained from multi-configuration EMI data measured with a CMD-Explorer sensor along two transects in the Chicken Creek catchment (Brandenburg, Germany). Dipole-dipole electrical resistivity tomography (ERT) data are used to benchmark the inferred EC fields of both transects. We are especially concerned with the impact of the DCT truncation method on the accuracy and reliability of the inversely-estimated EC images. We contrast the results of two different truncation approaches for model parametrization. The first scenario considers an arbitrary selection of the dominant DCT coefficients and their prior distributions (a commonly-used approach), while the second methodology benefits from geostatistical simulation of the EMI data pseudosection. This study demonstrates that DCT truncation based on geostatistical simulations facilitates a robust selection of the dominant DCT coefficients and their prior ranges, resulting in more accurate subsurface EC imaging from multi-configuration EMI data. Results based on geostatistical prior modeling present an excellent agreement between the EMI- and ERT-derived EC fields of the Chicken Creek catchment.
Automatic and Semantically-Aware 3D UAV Flight Planning for Image-Based 3D Reconstruction
Authors: Koch Tobias , Körner Marco , Fraundorfer Friedrich
Published: July 2019

Small-scaled unmanned aerial vehicles (UAVs) emerge as ideal image acquisition platforms due to their high maneuverability even in complex and tightly built environments. The acquired images can be utilized to generate high-quality 3D models using current multi-view stereo approaches. However, the quality of the resulting 3D model highly depends on the preceding flight plan which still requires human expert knowledge, especially in complex urban and hazardous environments. In terms of safe flight plans, practical considerations often define prohibited and restricted airspaces to be accessed with the vehicle. We propose a 3D UAV path planning framework designed for detailed and complete small-scaled 3D reconstructions considering the semantic properties of the environment allowing for user-specified restrictions on the airspace. The generated trajectories account for the desired model resolution and the demands on a successful photogrammetric reconstruction. We exploit semantics from an initial flight to extract the target object and to define restricted and prohibited airspaces which have to be avoided during the path planning process to ensure a safe and short UAV path, while still aiming to maximize the object reconstruction quality. The path planning problem is formulated as an orienteering problem and solved via discrete optimization exploiting submodularity and photogrammetrical relevant heuristics. An evaluation of our method on a customized synthetic scene and on outdoor experiments suggests the real-world capability of our methodology by providing feasible, short and safe flight plans for the generation of detailed 3D reconstruction models.
A Full-Coverage Daily Average PM2.5 Retrieval Method with Two-Stage IVW Fused MODIS C6 AOD and Two-Stage GAM Model
Authors: Hua Zhenqun , Sun Weiwei , Yang Gang , Du Qian
Published: July 2019

Current PM2.5 retrieval maps have many missing values, which seriously hinders their performance in real applications. This paper presents a framework to map full-coverage daily average PM2.5 concentrations from MODIS C6 aerosol optical depth (AOD) products and fill missing pixels in both the AOD and PM2.5 maps. First, a two-stage inversed variance weights (IVW) algorithm was adopted to fuse the MODIS C6 Terra and Aqua AOD products, which fills missing data in MODIS standard AOD data and obtains a high coverage daily average. After that, using the fused MODIS daily average AOD and ground-level PM2.5 in all grid cells, a two-stage generalized additive model (GAM) was implemented to obtain the full-coverage PM2.5 concentrations. Experiments on the Yangtze River Delta (YRD) in 2013–2016 were carefully designed to validate the performance of our proposed framework. The results show that the two-stage IVW could not only improve the spatial coverage of MODIS AOD against the original standard product by 230%, but could also keep its data accuracy. When compared with the ground-level measurements, the two-stage GAM can obtain accurate PM2.5 concentration estimates (R2 = 0.78, RMSE = 19.177 μg/m3, and RPE = 28.9%). Moreover, our method performs better than the inverse distance weighted method and kriging methods in mapping full-coverage daily PM2.5 concentrations. Therefore, the proposed framework provides a good methodology for retrieving full-coverage daily average PM2.5 concentrations from MODIS standard AOD products.
An Approach for the Customized High-Dimensional Segmentation of Remote Sensing Hyperspectral Images
Authors: Priego Blanca , Duro Richard J.
Published: July 2019

This paper addresses three problems in the field of hyperspectral image segmentation: the fact that the way an image must be segmented is related to what the user requires and the application; the lack and cost of appropriately labeled reference images; and, finally, the information loss problem that arises in many algorithms when high dimensional images are projected onto lower dimensional spaces before starting the segmentation process. To address these issues, the Multi-Gradient based Cellular Automaton (MGCA) structure is proposed to segment multidimensional images without projecting them to lower dimensional spaces. The MGCA structure is coupled with an evolutionary algorithm (ECAS-II) in order to produce the transition rule sets required by MGCA segmenters. These sets are customized to specific segmentation needs as a function of a set of low dimensional training images in which the user expresses his segmentation requirements. Constructing high dimensional image segmenters from low dimensional training sets alleviates the problem of lack of labeled training images. These can be generated online based on a parametrization of the desired segmentation extracted from a set of examples. The strategy has been tested in experiments carried out using synthetic and real hyperspectral images, and it has been compared to state-of-the-art segmentation approaches over benchmark images in the area of remote sensing hyperspectral imaging.
Using Linguistic Properties of Place Specification for Network Naming to Improve Mobility Performance
Authors: López Jairo , Nguyen Quang Ngoc , Wen Zheng , Yu Keping , Sato Takuro
Published: July 2019

By considering the definitions and properties from the field of linguistics regarding place specification, a questionnaire that can be used to improve naming in networks is obtained. The questionnaire helps introduce the idea of place specification from linguistics and the concept of metric spaces into network naming schemes. The questionnaire results are used to improve the basic Information-Centric Networking (ICN) architecture’s notoriously lax network naming structure. The improvements are realized by leveraging components from the Named-Node Network Architecture, a minor ICN design, to supply the resulting network architecture with the properties the questionnaire highlights. Evaluation results from experiments demonstrate that modifying the network architecture so that the proposed questionnaire is satisfied results in achieving high mobility performance. Specifically, the proposed system can obtain mean application goodput at above 88 % of the ideal result, with a delay below 0.104 s and with the network time-out Interest ratio below 0.082 for the proposed single mobile push producer, single mobile consumer scenario, even when the nodes reach the maximum tested speed of 14 m/s.
Gas Leakage Source Detection for Li-Ion Batteries by Distributed Sensor Array
Authors: Mateev Valentin , Marinova Iliana , Kartunov Zhelyazko
Published: July 2019

Lithium-based batteries operation is related to some safety risks of dangerous flaming, integrity destruction, or even explosion. Gas leakage is an early and reliable indicator for such irreversible malfunctioning of electrical accumulators. Often, accurate gas emission source location sensing is difficult especially in heavy operational conditions, related to temperature changes, vibrations, movements, accelerations, etc. In this paper we propose a gas detection system, with catalytic type sensor array, and a numerical reconstruction method for precise gas emission source location inside the battery pack. The detection system employs a distributed array of CO sensors. Proposed sensor array configurations significantly reduce the number of sensing nodes inside the battery pack and fewer sensors than the protected battery elements are used. This way, data acquisition process by sensor nodes is also simplified. Several array configurations are considered according to their measurement efficiency and accuracy. Reconstruction algorithm is based on fast interpolation technique very suitable for real-time data processing. Estimation of reconstruction method accuracy is made by computational model of the gas diffusion inside the pack.
A Wide Dynamic Range CMOS Image Sensor with a Charge Splitting Gate and Two Storage Diodes
Authors: Lee Minho , Seo Min-Woong , Kim Juyeong , Yasutomi Keita , Kagawa Keiichiro , Shin Jang-Kyoo , Kawahito Shoji
Published: July 2019

In this paper, a wide dynamic range (WDR) CMOS image sensor (CIS) with a charge splitting gate (SG) and two storage diodes (SDs) is presented. By using single-gate on/off control with the SG, photocurrent path to the first (SD1) or second storage diodes (SD2) is switched alternatively and periodically during exposure and signal electrons generated in a photodiode (PD) are transferred to and accumulated in the SD1 or SD2. By setting a large ratio of the off-time to on-time of the SG, two different sensitivity signals, which are originated by the same photodiode, are generated and a WDR image signal is obtained. This technique has a distinct advantage on mitigating the problem of motion artifact in WDR imaging with high and low sensitivity signals and flexible dynamic control of the dynamic range. An experimental WDR CMOS image sensor with 280 (H) × 406 (V)-pixel array consisting of 14 sub-arrays, each of which have 20 (H) × 406 (V) pixels, was implemented and tested. For the SG on/off-time ratio of 30 and 279, the DR of 93 dB and 104 dB, respectively, was demonstrated. The effect of the proposed WDR imaging operation on the reduced motion artifact was experimentally confirmed.
An Efficient Extended Targets Detection Framework Based on Sampling and Spatio-Temporal Detection
Authors: Yan Bo , Xu Na , Zhao Wenbo , Li Muqing , Xu Luping
Published: July 2019

Excellent performance, real-time and low memory requirement are three vital requirements for target detection in high resolution marine radar system. Unfortunately, many current state-of-the-art methods merely achieve excellent performance when coping with highly complex scenes. In fact, a common problem is that real-time processing, low memory requirement and remarkable detection ability are difficult to coordinate. To address this issue, we propose a novel detection framework which bases its principle on sampling and spatiotemporal detection. The framework consists of two stages, coarse detection and fine detection. Sampling-based coarse detection is designed to guarantee the real-time processing and low memory requirements by locating the area where targets may exist in advance. Different from former detection methods, multi-scan video data are utilized. In the stage of fine detection, the candidate areas are grouped into three categories: single target, dense targets and sea clutter. Different approaches for processing the different categories are implemented to achieve excellent performance. The superiority of the proposed framework beyond state-of-the-art baselines is well substantiated in this work. Low memory requirement of the proposed framework was verified by theoretical analysis. Real-time processing capability was verified by the video data of two real scenarios. Synthetic data were tested to show the improvement in tracking performance by using the proposed detection framework.
Robust GICP-Based 3D LiDAR SLAM for Underground Mining Environment
Authors: Ren Zhuli , Wang Liguan , Bi Lin
Published: July 2019

Unmanned mining is one of the most effective methods to solve mine safety and low efficiency. However, it is the key to accurate localization and mapping for underground mining environment. A novel graph simultaneous localization and mapping (SLAM) optimization method is proposed, which is based on Generalized Iterative Closest Point (GICP) three-dimensional (3D) point cloud registration between consecutive frames, between consecutive key frames and between loop frames, and is constrained by roadway plane and loop. GICP-based 3D point cloud registration between consecutive frames and consecutive key frames is first combined to optimize laser odometer constraints without other sensors such as inertial measurement unit (IMU). According to the characteristics of the roadway, the innovative extraction of the roadway plane as the node constraint of pose graph SLAM, in addition to automatic removing the noise point cloud to further improve the consistency of the underground roadway map. A lightweight and efficient loop detection and optimization based on rules and GICP is designed. Finally, the proposed method was evaluated in four scenes (such as the underground mine laboratory), and compared with the existing 3D laser SLAM method (such as Lidar Odometry and Mapping (LOAM)). The results show that the algorithm could realize low drift localization and point cloud map construction. This method provides technical support for localization and navigation of underground mining environment.
Setting the Methodological Framework for Accessibility in Geo-Mining Heritage Settings—An Ongoing Study of Iglesiente Area (Sardinia, Italy)
Authors: Beretić Nađa , Plaisant Alessandro
Published: June 2019

This paper aims to discover why and how accessibility is fundamental to sustainable local development in heritage settings. We discussed the dimensions and variables of accessibility that control the development. Correspondingly, we proposed an interpretative framework for sustainable development planning and management of low urbanized spatial settings and accessibility for the Iglesiente Geo-mining heritage in Sardinia (Italy). The Iglesiente area is affected by a deep post-mining crisis that is reflected in poor socioeconomic conditions and an evident space oriented set of problems (a disorder in landscape matrix, low readability of space, scarce infrastructure and low accessibility). To revert negative trends of space-related problems, the paper proposes a theoretical model acting as an anticipatory landscape planning tool. The model copes with the context-specific problems in combination with theoretical findings. It acts at various scales through the definition of boundaries and variables of the internal and external environment, providing the territorial matrix of equity and cohesion. Furthermore, we argued the limitation and advantages of the model to its implementation capacity for the Geo-mining heritage and low-urbanized spatial settings. The empirical findings from an ongoing project about accessibility to territorial knowledge and services in the Iglesiente area, currently in progress, allow us to test and adjust the methodological framework in the next steps.
Toward Human-Centered Urbanization? Housing Ownership and Access to Social Insurance Among Migrant Households in China
Authors: Wen Christine , Wallace Jeremy L.
Published: June 2019

For the past few years, China’s urbanization policy has focused on expanding welfare and affordable housing for rural migrants so as to encourage them to put down roots in the city. The international literature disagrees on the relationship between homeownership and welfare—whether the former is a substitute for or a consequence of the latter. Using multilevel logistic regression on a 2015 nationally representative survey, this paper explores the determinants of housing ownership among China’s rural migrant households in their city of residence, focusing particularly on access to urban social insurance. The results show that institutional ties to the city such as enrollment in local pensions and health insurance are associated with higher likelihood of homeownership. This paper argues that policy interventions should target the social security system, as rural migrants are likely unwilling or unable to invest in urban housing due to the increased risk and precarity they typically experience. The findings also suggest that to make urbanization more sustainable, the government should aim at making cities more family-friendly, expanding alternatives to employment-based social insurance schemes, and targeting efforts on interior cities in migrant-sourcing provinces that pose fewer barriers to permanent settlement.
Acoustic Comfort in Learning Spaces: Moving Towards Sustainable Development Goals
Authors: Montiel Isabel , Mayoral Asunción M. , Navarro Pedreño Jose , Maiques Silvia
Published: June 2019

The association between learning spaces and new pedagogical approaches is a current issue. Research shows that the classical, more silent, master class is being bypassed by student centered methods with participative classes and active methodologies. Major efforts in teacher training are taken to help teachers implement these new approaches in their lessons. The conditions of the learning space are also influential. The following question is raised: Can acoustic comfort facilitate innovation and consequently help in the progress towards SDG? We have focused on public high schools in Spain (IES), in the Valencian Community. Data has been gathered from the visit to thirty high schools. International scientific studies and valid guidelines referring to noise have been reviewed. Findings on the research conclude that acoustic comfort is essential in education and is directly related with the implementation of emerging pedagogies. Likewise, the outcomes of the investigation hope to raise awareness among authorities and civil society that improvement of sound quality in learning spaces facilitates the achievement of sustainable development goals (SDG), particularly those concerning goal 3 (health and wellbeing), goal 4 (quality education) and goal 9 (sustainable infrastructures).
Feasibility of Using Calcined Water Treatment Sludge in Rendering Mortars: A Technical and Sustainable Approach
Authors: Andrade Jairo José de Oliveira , Possan Edna , Wenzel Matheus Chiaradia , Silva Sérgio Roberto da
Published: June 2019

Many current industrial processes, such as water treatment, produce large amounts of waste. The water treatment sludge (WTS) must be properly disposed of and/or used as raw material for application in other sectors, such as the construction industry. The rendering mortar production can be an environmentally friendly alternative to recycle the WTS, this being the object of this research. In this way, mortars were produced with 2.5%, 5%, 7.5%, and 10% calcined WTS to replace natural sand. The water absorption, compressive strength, bond strength, and flexural strength properties were evaluated. A natural carbonation was carried out for the determination of CO2 uptake due to carbonation. The results showed that the incorporation of calcined WTS has an influence on all the properties evaluated. Considering 50 years of service life, the CO2 uptake potential for mortar with 10% calcined sludge WTP is 111 kg CO2/t. In the sustainability approach, it was observed that CO2 uptake due to carbonation is higher in mortars with the addition of WTS, and could be an environmentally friendly alternative that compensates emissions from the cementitious materials production.
Thorny Shrubs Limit the Browsing Pressure of Large Herbivores on Tree Regeneration in Temperate Lowland Forested Landscapes
Authors: Salek Lubomir , Harmacek Jaromir , Jerabkova Lucie , Topacoglu Osman , Machar Ivo
Published: June 2019

Thorny shrubs are considered as an important driver in the natural development of temperate forest structures, particularly in European lowland forests. We assessed the current role of thorny shrubs in the regeneration of deciduous tree species under heavy browsing pressure in a central European temperate forested landscape. The study’s military training area offered a unique opportunity to investigate the processes in which deciduous tree seedlings grew under thorny shrubs and in the close vicinity of thorny shrubs in a landscape with a high density of large herbivores (red deer and sika deer). We assessed the number of seedlings, species composition, seedling height, and degree of browsing damage, and their relationship to study plots elevation, thorny shrub species, coverage, and height. The regenerated tree seedlings were mostly detected as common ash (Fraxinus excelsior) and wild cherry (Cerasus avium). The species of thorny shrubs were blackthorn (Prunus spinosa), hawthorn (Crataegus sp.), and wild rose (Rosa sp.). We found that the thorny shrubs protected the tree seedlings from browsers to a large extent. However, the effects of thorny shrubs on the tree seedlings’ characteristics varied among the shrub species. While results revealed significant effects of hawthorn and wild rose on the tree seedlings’ abundance and survival, blackthorn’s negative effect of shading the tree seedlings outweighed its protective role. These results indicated a possible mechanism that enabled the regeneration of deciduous tree species under large herbivore pressure. These results can be applied in the landscape planning and forest management of deciduous tree regeneration and forest restoration in temperate forested lowland landscapes, where high densities of large herbivores (without the presence of large predators) usually occur.
Environmental Innovation and Firm Performance: How Firm Size and Motives Matter
Authors: Andries Petra , Stephan Ute
Published: July 2019

There is limited understanding of the precise circumstances under which environmental actions—such as environmental innovation—contribute to firm performance. Building on the resource-based view and on stakeholder theory, this study argues that the general positive effect of environmental innovation on financial performance varies significantly with firm size and the motives underlying a firm’s engagement in environmental innovation. Integrating survey data and lagged annual account data on 1761 Flemish companies, we find that larger firms benefit financially from environmental innovation driven by regulation or industry codes of conduct, while smaller firms benefit from environmental innovation introduced in response to customer demand. While it is increasingly accepted that environmental innovation relates positively with firm performance, the current study highlights important boundary conditions of this relationship.
The Organizational Culture of a Major Social Work Institution in Romania: A Sociological Analysis
Authors: Vlaicu Florina Luiza , Neagoe Alexandru , Țîru Laurențiu Gabriel , Otovescu Adrian
Published: July 2019

This study aims to document the specific organizational culture existing in the General Directorate for Social Work and Child Protection (DGASPC) in the Gorj county, Romania. This is a major social work institution in Romania, but one which (like most other social work institutions in this country) have rarely been subject to the type of sociological research as the one reported in this article. The present analysis can help leaders in this organization and other similar organizations to assess and improve the cultural aspects that can influence the achievement of objectives, as well as the quality of the social services provided to service users. Our study has included 286 participants that hold various positions at DGASPC Gorj (social workers, psychologists, and educators). The chosen investigative instrument is the organizational culture assessment instrument (OCAI), a questionnaire designed to interpret organizational phenomena, developed by Cameron and Quinn and based on the conceptual framework of the “competing values framework”. The authors have identified four types of culture (clan, adhocracy, hierarchy, and market culture) and the tool allows an analysis of organizational culture based on the employees’ perception of the existing culture as well as also on their preferences regarding the way they would like to change the organizational culture in the future. The results show that the dominant culture is the hierarchy culture, closely followed by elements of clan culture. Other cultural dimensions are also explored and reported (leadership, success criteria, etc.).
Data Science Solutions for Retail Strategy to Reduce Waste Keeping High Profit
Authors: Sakoda Gen , Takayasu Hideki , Takayasu Misako
Published: July 2019

Waste reduction in retail is a fundamental problem for sustainability. Among waste reduction approaches such as recycling and donation, stock management based on demand estimation which leads to mitigate waste generation and maintain a high profit is expected to play an important role. However, demand estimation is generally difficult because fluctuations in sales are quite volatile, and stock-out leads to incomplete demand observation. Here, we propose data science solutions to estimate non-stationary demand with censored sales data including stock-outs and realize scientific stock management. Concretely, we extend a non-stationary time series analysis method based on Particle Filter to handle censored data, and combine it with the newsvendor problem formula to determine the optimal stock. Moreover, we provide a way of pricing waste reduction costs. A method to verify consistency between the statistical model and sales data is also proposed. Numerical analysis using actual Point-Of-Sales data in convenience stores shows food waste could be reduced several tenths percent keeping high profits in most cases. Specifically, in cases of foods disposed of frequently about 75% of working days, food waste decreases to about a quarter with the profit increases by about 140%. The way of pricing waste reduction costs tells new insights such as 27% waste reduction is achieved by 1% profit loss. Our method provides a practical solution for food waste reduction in the retail sector.
Design for Sustainability Transitions: Origins, Attitudes and Future Directions
Authors: Gaziulusoy İdil , Erdoğan Öztekin Elif
Published: July 2019

Sustainability transitions have formed a vast body of literature on theory and practice of transforming socio-technical systems to achieve sustainability over the past few decades. Lately, a new area has been emerging in the design for the sustainability field, where sustainability transitions theories are integrated with design theory, education and practice. This emerging area is referred to as design for sustainability transitions or transition design. In order to build an understanding of the emergence and growth of this area, this article presents an overview of origins, development and current status of design for sustainability transitions drawing on key contributions. We also provide a comparative analysis of these key contributions in regards to their theoretical underpinnings, definitions of sustainability, conceptual framings for the roles of design(ers) and premises of methods and applications.
U.S. Sustainable Food Market Generation Z Consumer Segments
Authors: Su Ching-Hui (Joan) , Tsai Chin-Hsun (Ken) , Chen Ming-Hsiang , Lv Wan Qing
Published: July 2019

This study explores the interaction between environmental consciousness and sustainable food attributes as predictors in the market segmentation process for sustainable foods with respect to United States (U.S.) Generation Z (Gen Z) consumers. This study was executed using a cross-national, web-based survey to analyze and categorize Gen Z female (n = 435) and male (n = 377) consumers between 18 and 23 years of age living in the continental United States. The objectives of this study were to classify U.S. Gen Z consumers into unique segments based on their environmental consciousness and to assess the functional relationships among the following: (a) their degree of ecological awareness; (b) the importance of the perception of sustainable food attributes; (c) their food choices associated with healthy eating habits; and (d) sociodemographics. Survey data were analyzed using cluster analysis of consumer groups based on environmental consciousness. Environmental consciousness was measured using a composite score of the environmental involvement scale and the environmental values scale. Gen Z consumers with high environmental consciousness (sustainable activists) and moderate ecological awareness (sustainable believers) considered more eco-friendly and healthy product attributes when purchasing sustainable food, whereas Gen Z consumers with low environmental consciousness (sustainable moderates) considered more extrinsic product attributes (e.g., price and convenience). Furthermore, the results indicate that food choices associated with healthy eating habits could be used to develop a profile for different eco-conscious Gen Z consumer groups. The contributions of this study are twofold. First, for academic researchers, this paper extends marketing segmentation research concerning environmentally sensitive young consumers. Second, for industry professionals, this study provides food retailers or food service operators with sustainable consumer values that will aid in the development of effective, green marketing strategies to better attract and meet the sustainability expectations of Gen Z—the consumer segment with the most spending power of any generation.
Strategy of Developing Innovative Technology for Sustainable Cities: The Case of the National Strategic Project on Carbon Mineralization in the Republic of Korea
Authors: Lee Jongyeol , Jang Changsun , Shin Kyung Nam , Ahn Ji Whan
Published: July 2019

Technology cooperation, including technology transfer, development of projects, and establishment of international networks, is an important instrument for attaining greenhouse gas mitigation and the sustainable development of a global society. In this context, carbon mineralization technology has received attention because of its high potential for carbon sequestration, environmental conservation, and economic market value. This project report introduces a national top-down approach for developing and implementing international technology cooperation in the Republic of Korea, focusing on carbon mineralization. The Ministry of Science and Information and Communication Technology (MSIT) leads international technology cooperation, identifies prominent climate technologies, and addresses scientific agendas to presidential meetings. The inter-ministerial bodies established the climate technology roadmap and masterplan for a climate change response. With the support of these inter-ministerial efforts, a National Strategic Project on carbon mineralization was developed by a presidential-level decision as a top-down approach. Furthermore, the demonstration of this technology was emphasized to enhance the possibility of success in commercialization. This project also includes demonstration of a pilot, sequestering 6000 tons of CO2 and manufacturing 30,000 tons of carbonate. This successive and holistic approach, comprising of a range of hierarchical levels of government, is recommended for deriving a high impact on global society of prominent climate technology.
Complementary Effect of Knowledge Management Strategy on Firm Performance: Evidence from Chinese Firms
Authors: Song Bo , Li Yi , Zhao Liangjie
Published: July 2019

This study investigated the complementary effect of three orientations of knowledge management (KM) strategy on firm performance: external and internal, explicit and tacit, and exploratory and exploitive. We propose a theoretical framework for examining the synergistic effects of KM strategy on firm performance, and the moderating effect of organizational structure. The complementary effect among these orientations of KM strategy was studied. To test our framework, we conducted a survey with a sample of 345 Chinese firms that had applied a KM strategy. The empirical results show that: (1) different KM strategy orientations complement each other, and this complementarity is an essential link in the relationship between KM strategy and firm performance; (2) the direct effect of each orientation of KM strategy on firm performance is not significant; (3) a centralized organizational structure moderates the relationship between KM strategy and firm performance, thus the more centralized is the organizational structure, the stronger is the positive impact of the complementary effect of KM strategy on firm performance; and (4) the moderating effect of formalized organizational structure in the relationship between KM strategy and firm performance is not significant.
Sustainable Entrepreneurial Culture Programs Promoting Social Responsibility: A European Regional Experience
Authors: Sánchez-Hernández M. Isabel , Maldonado-Briegas Juan José
Published: July 2019

Currently in the European Union, regional policies and their related programs are aware of the importance of fostering social responsibility, whilst, at same time, they have to promote entrepreneurship. Promoting the culture of sustainable entrepreneurship could be the answer. In this article, the Spanish case-study of the Autonomous Community of Extremadura is analyzed to show the existing regional policies fostering voluntary educational programs devoted to entrepreneurship since 2012. In this context, a specific entrepreneurship project related to sustainability was developed in 2017–2018 in secondary schools with the leitmotiv to consider the Sustainable Development Goals from the United Nations. Using the Structural Equation Modeling method with a sample of 630 students under the umbrella of the project called Teenemprende, the study concludes by highlighting that sustainable entrepreneurial culture programs in the public educational system already have some positive effect on the students´ attitude to social responsibility, thus empowering them to change the world for a better future.
Multi-Access Edge Computing Empowered Heterogeneous Networks: A Novel Architecture and Potential Works
Authors: Ryu June-Woo , Pham Quoc-Viet , Luan Huynh N. T. , Hwang Won-Joo , Kim Jong-Deok , Lee Jung-Tae
Published: July 2019

One of the most promising approaches to address the mismatch between computation- intensive applications and computation-limited end devices is multi-access edge computing (MEC). To overcome the rapid increase in traffic volume and offload the traffic from macrocells, a massive number of small cells have been deployed, so-called heterogeneous networks (HetNets). Strongly motivated by the close integration of MEC and HetNets, in this paper, we propose an envisioned architecture of MEC-empowered HetNets, where both wireless and wired backhaul solutions are supported, flying base stations (BSs) can be equipped with MEC servers, and mobile users (MUs) need both communication and computation resources for their computationally heavy tasks. Subsequently, we provide the research progress summary of task offloading and resource allocation in the proposed MEC-empowered unmanned aerial vehicle (UAV)-assisted heterogeneous networks. We complete this article by spotlighting key challenges and open future directives for researches.
Discrete Sliding Mode Control for Chaos Synchronization and Its Application to an Improved El-Gamal Cryptosystem
Authors: Wan Pei-Yen , Liao Teh-Lu , Yan Jun-Juh , Tsai Hsin-Han
Published: July 2019

This paper is concerned with the design of an improved El-Gamal cryptosystem based on chaos synchronization. The El-Gamal cryptosystem is an asymmetric encryption algorithm that must use the public and private keys, respectively, in the encryption and decryption processes. However, in our design, the public key does not have to appear in the public channel. Therefore, this proposed improved El-Gamal cryptosystem becomes a symmetric-like encryption algorithm. First, a discrete sliding mode controller is proposed to ensure the synchronization of master and slave chaotic systems; next, a novel improved El-Gamal cryptosystem is presented. In the traditional El-Gamal cryptosystem, the public key is static and needs to be open which provides an opportunity to attack. However, in this improved design, due to the chaos synchronization, the public key becomes dynamic and does not appear in public channels. As a result, drawbacks of long cipher text and time-consuming calculation in the traditional El-Gamal cryptosystem are all removed. Finally, several performance tests and comparisons have shown the efficiency and security of the proposed algorithm.
The Existence of Two Homogeneous Geodesics in Finsler Geometry
Authors: Dušek Zdeněk
Published: July 2019

The existence of a homogeneous geodesic in homogeneous Finsler manifolds was positively answered in previous papers. However, the result is not optimal. In the present paper, this result is refined and the existence of at least two homogeneous geodesics in any homogeneous Finsler manifold is proved. In a previous paper, examples of Randers metrics which admit just two homogeneous geodesics were constructed, which shows that the present result is the best possible.
Pig Urinary Concentration of Mycotoxins and Metabolites Reflects Regional Differences, Mycotoxin Intake and Feed Contaminations
Authors: Gambacorta Lucia , Olsen Monica , Solfrizzo Michele
Published: July 2019

The determination of mycotoxin and metabolite concentrations in human and animal urine is currently used for risk assessment and mycotoxin intake measurement. In this study, pig urine (n = 195) was collected at slaughterhouses in 2012 by the Swedish National Food Agency in three counties representing East, South and West regions of Sweden. Urinary concentrations of four mycotoxins, (deoxynivalenol (DON), zearalenone (ZEA), fumonisin B1 (FB1), and ochratoxin A (OTA)), and four key metabolites, (deepoxy-deoxynivalenol (DOM-1), aflatoxin M1 (AFM1, biomarker of AFB1), α-zearalenol (α-ZOL), and β-zearalenol (β-ZOL)) were identified and measured by UPLC-MS/MS. Statistically significant regional differences were detected for both total DON (DON + DOM-1) and total ZEA (ZEA + α-ZOL + β-ZOL) concentrations in pig urine from the three regions. These regional differences were in good agreement with the occurrence of Fusarium graminearum mycotoxins (DON + ZEA) in cereal grains harvested in 2011 in Sweden. There were no statistically significant differences in FB1, AFM1 and OTA urinary concentrations in pigs from the three regions. The overall incidence of positive samples was high for total ZEA (99–100%), total DON (96–100%) and OTA (85–95%), medium for FB1 (30–61%) and low for AFM1 (0–13%) in the three regions. Urinary mycotoxin biomarker concentrations were used to estimate mycotoxin intake and the level of mycotoxins in feeds consumed by the monitored pigs. The back-calculated levels of mycotoxins in feeds were low with the exception of seven samples that were higher the European limits.
Botulinum Toxin Type A and Physiotherapy in Spasticity of the Lower Limbs Due to Amyotrophic Lateral Sclerosis
Authors: Marvulli Riccardo , Megna Marisa , Citraro Aurora , Vacca Ester , Napolitano Marina , Gallo Giulia , Fiore Pietro , Ianieri Giancarlo
Published: July 2019

Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease (unknown pathogenesis) of the central nervous system that causes death within 1–5 years. Clinically, flabby paralysis, areflexia, muscular atrophy, and muscle fasciculations, signs of II motor neuron damage, appear. Sometimes, clinical manifestations of damage of the I motor neuron come out in lower limbs; spastic paralysis, iperflexia, and clonus emerge, and they impair deambulation and management of activities of daily living, such as personal hygiene or dressing. Thus, the first therapeutic approach in these patients involves antispasmodic drugs orally followed by botulinum toxin type A injection (BTX-A). In this study, we study the efficacy of BTX-A and physiotherapy in lower limb spasticity due to ALS and no response to treatment with oral antispastic drugs. We evaluated 15 patients (10 male and five female), with a mean age of 48.06 ± 5.2 with spasticity of adductor magnus (AM), at baseline (T0, before BTX-A treatment) and in the following three follow-up visits (T1 30 days, T2 60 days, and T3 90 days after infiltration). We evaluated myometric measure of muscle tone, the Modified Ashworth Scale of AM, Barthel Index, Adductor Tone Rating Scale, and Hygiene Score. The study was conducted between November 2018 and April 2019. We treated AM with incobotulinum toxin type A (Xeomin®, Merz). Spasticity (myometric measurement, Adductor Tone Rating Scale, and Modified Ashworth Scale) and clinical (Barthel Index and Hygiene Score) improvements were obtained for 90 days after injection (p < 0.05). Our study shows the possibility of using BTX-A in the treatment of spasticity in patients with ALS and no response to oral antispastic drugs, with no side effects. The limitation of the study is the small number of patients and the limited time of observation; therefore, it is important to increase both the number of patients and the observation time in future studies.
Correction: Mitema, A. et al. The Development of a qPCR Assay to Measure Aspergillus flavus Biomass in Maize and the Use of a Biocontrol Strategy to Limit Aflatoxin Production. Toxins 2019, 11, 179
Authors: Mitema Alfred , Okoth Sheila , Rafudeen Suhail M.
Published: July 2019

The authors wish to make the following correction to their paper [...]
Selective Transport of Protein-Bound Uremic Toxins in Erythrocytes
Authors: Deltombe Olivier , Glorieux Griet , Marzouki Sami , Masereeuw Rosalinde , Schneditz Daniel , Eloot Sunny
Published: July 2019

To better understand the kinetics of protein-bound uremic toxins (PBUTs) during hemodialysis (HD), we investigated the distribution of hippuric acid (HA), indole-3-acetic acid (IAA), indoxyl sulfate (IS), and p-cresyl sulfate (pCS) in erythrocytes of HD patients. Their transport across the erythrocyte membrane was explored in the absence of plasma proteins in vitro in a series of loading and unloading experiments of erythrocytes from healthy subjects and HD patients, respectively. Furthermore, the impact of three inhibitors of active transport proteins in erythrocytes was studied. The four PBUTs accumulated in erythrocytes from HD patients. From loading and unloading experiments, it was found that (i) the rate of transport was dependent on the studied PBUT and increased in the following sequence: HA < IS < pCS < IAA and (ii) the solute partition of intra- to extra-cellular concentrations was uneven at equilibrium. Finally, inhibiting especially Band 3 proteins affected the transport of HA (both in loading and unloading), and of IS and pCS (loading). By exploring erythrocyte transmembrane transport of PBUTs, their kinetics can be better understood, and new strategies to improve their dialytic removal can be developed.
(+)-Spectaline and Iso-6-Spectaline Induce a Possible Cross-Talk between Autophagy and Apoptosis in Trypanosoma brucei rhodesiense
Authors: Lim Kah , Yeoh Chiann , Zainuddin Zafarina , Ilham Adenan Mohd.
Published: July 2019

In our previous study, two known piperidine alkaloids (+)-spectaline (1) and iso-6-spectaline (2) were isolated from the leaves of Senna spectabilis and showed no toxic effect on L6 cells. In view of the potential use of piperidine alkaloids in S. spectabilis for the treatment of sleeping sickness, further investigation on the cell death actions of the parasite after treatment with compound 1 and 2 suggested that the treated parasites died by a process of autophagy based on the characteristic morphological alterations observed in intracellular T. b. rhodesiense. In search for apoptosis, interestingly, trypanosomes treated with high concentration of compound 1 and 2 after 72 h significantly induced an early apoptosis-like programmed cell death (PCD) such as phosphatidylserine (PS) exposure, loss of mitochondrial membrane potential and caspases activation. No DNA laddering discriminated late apoptosis event. Taken together, these findings demonstrated the potential of compound 1 and 2 as a natural chemotherapeutic capable of inducing a possible cross-talk between autophagy and apoptosis in T. b. rhodesiense.