bluuebunny/crossref_metadata_2025 huggingface dataset:
VETO: An Immersive Virtual Environment for Tele-Operation
Authors: Wilson Brandon , Bounds Matthew , McFadden David , Regenbrecht Jace , Ohenhen Loveth , Tavakkoli Alireza , Loffredo Donald
Published: June 2018

This work investigates an over-arching question: how can an immersive virtual environment be connected with its intelligent physical counterpart to allow for a more efficient man-machine collaboration. To this end, an immersive user interface for the purpose of robot tele-operation is designed. A large amount of sensory data is utilized to build models of the world and its inhabitants in a way that is intuitive to the operator and accurately represents the robot’s real-world state and environment. The game client is capable of handling multiple users, much like a traditional multiplayer game, while visualizing multiple robotic agents operating within the real world. The proposed Virtual Environment for Tele-Operation (VETO) architecture is a tele-operation system that provides a feature-rich framework to implement robotic agents into an immersive end-user game interface. Game levels are generated dynamically on a Graphic Processing Unit or GPU-accelerated server based on real-world sensor data from the robotic agents. A set of user studies are conducted to validate the performance of the proposed architecture compared to traditional tele-robotic applications. The experimental results show significant improvements in both task completion time and task completion rate over traditional tools.
Fluctuation of Glacial Retreat Rates in the Eastern Part of Warszawa Icefield, King George Island, Antarctica, 1979–2018
Authors: Pudełko Rafał , Angiel Piotr Jan , Potocki Mariusz , Jędrejek Anna , Kozak Małgorzata
Published: June 2018

Antarctica is a region of the world where climate change is visible in the rapid melting of glaciers. This is particularly evident in marginal zones, where the pace of glacial retreat has systematically accelerated. The effective mapping of these changes is possible with the use of remote sensing methods. This study assesses changes in glacier margin positions between 1979 and 2018 in the Antarctic Specially Protected Area 128 (ASPA-128) on King George Island, South Shetland Islands, Antarctica. In 1979, 19.8 km2 of the study area was glaciated. Over the following 39 years, an area of 6.1 km2 became ice-free, impacting local ecosystems both on land and in Admiralty Bay. The reduction in glacier extent was different in time and depended on the glacier type. Land-terminating glaciers had the fastest retreat rates below 200 m a.s.l. and were influenced mostly by surface melting. The reduction of tidewater glaciers occurred primarily in areas below 100 m a.s.l., with the most pronounced ice extent decreases occurring below 50 m a.s.l. The observed rates of front retreat suggest that glacier retreat rates were fastest between 1989–2001 and 2007–2011, with reduced retreat rates between 2001 and 2007. During the last 7 years, the lowest rate of regression was recorded in the entire analysed period (1979–2018). Changes in the areal extent of glaciers were compared with the climate record available for King George Island. The observed fluctuations in glacier retreat rates could be correlated to oscillations in annual Positive Degree-Days. The spatial analyses were based on aerial photographs (1956, 1979), theodolite measurements (1989), GPS survey (2001, 2007), and satellite images (2011, 2018).
Where We Live—A Summary of the Achievements and Planned Evolution of the Global Urban Footprint
Authors: Esch Thomas , Bachofer Felix , Heldens Wieke , Hirner Andreas , Marconcini Mattia , Palacios-Lopez Daniela , Roth Achim , Üreyen Soner , Zeidler Julian , Dech Stefan , Gorelick Noel
Published: June 2018

The TerraSAR-X (TSX) mission provides a distinguished collection of high resolution satellite images that shows great promise for a global monitoring of human settlements. Hence, the German Aerospace Center (DLR) has developed the Urban Footprint Processor (UFP) that represents an operational framework for the mapping of built-up areas based on a mass processing and analysis of TSX imagery. The UFP includes functionalities for data management, feature extraction, unsupervised classification, mosaicking, and post-editing. Based on >180.000 TSX StripMap scenes, the UFP was used in 2016 to derive a global map of human presence on Earth in a so far unique spatial resolution of 12 m per grid cell: the Global Urban Footprint (GUF). This work provides a comprehensive summary of the major achievements related to the Global Urban Footprint initiative, with dedicated sections focusing on aspects such as UFP methodology, basic product characteristics (specification, accuracy, global figures on urbanization derived from GUF), the user community, and the already initiated future roadmap of follow-on activities and products. The active community of >250 institutions already working with the GUF data documents the relevance and suitability of the GUF initiative and the underlying high-resolution SAR imagery with respect to the provision of key information on the human presence on earth and the global human settlements properties and patterns, respectively.
Normalized Difference Vegetation Vigour Index: A New Remote Sensing Approach to Biodiversity Monitoring in Oil Polluted Regions
Authors: Onyia Nkeiruka Nneti , Balzter Heiko , Berrio Juan-Carlos
Published: June 2018

Biodiversity loss remains a global challenge despite international commitment to the United Nations Convention on Biodiversity. Biodiversity monitoring methods are often limited in their geographical coverage or thematic content. Furthermore, remote sensing-based integrated monitoring methods mostly attempt to determine species diversity from habitat heterogeneity somewhat reflected in the spectral diversity of the image used. Up to date, there has been no standardized method for monitoring biodiversity against the backdrop of ecosystem or environmental pressures. This study presents a new method for monitoring the impact of oil pollution an environmental pressure on biodiversity at regional scale and presents a case study in the Niger delta region of Nigeria. It integrates satellite remote sensing and field data to develop a set of spectral metrics for biodiversity monitoring. Using vascular plants of various lifeforms observed on polluted and unpolluted (control) locations, as surrogates for biodiversity, the normalized difference vegetation vigour index (NDVVI) variants were estimated from Hyperion wavelengths sensitive to petroleum hydrocarbons and evaluated for potential use in biodiversity monitoring schemes. The NDVVI ranges from 0 to 1 and stems from the presupposition that increasing chlorophyll absorption in the green vegetation can be used as a predictor to model vascular plant species diversity. The performances of NDVVI variants were compared to traditional narrowband vegetation indices (NBVIs). The results show strong links between vascular plant species diversity and primary productivity of vegetation quantified by the chlorophyll content, vegetation vigour and abundance. An NDVVI-based model gave much more accurate predictions of species diversity than traditional NBVIs (R-squared and prediction square error (PSE) respectively for Shannon’s diversity = 0.54 and 0.69 for NDVVIs and 0.14 and 0.9 for NBVIs). We conclude that NDVVI is a superior remote sensing index for monitoring biodiversity indicators in oil-polluted areas than traditional NBVIs.
Spatiotemporal Estimation of Bamboo Forest Aboveground Carbon Storage Based on Landsat Data in Zhejiang, China
Authors: Li Yangguang , Han Ning , Li Xuejian , Du Huaqiang , Mao Fangjie , Cui Lu , Liu Tengyan , Xing Luqi
Published: June 2018

China is one of the countries with the most abundant bamboo forest resources in the world, and Zhejiang province is among the top-3 Chinese provinces with richest bamboo forests. For rational bamboo forests management, it is of great significance to study the spatiotemporal dynamic changes of Aboveground Carbon (AGC) stocks of bamboo forest in Zhejiang. In this study, remote sensing variables, such as spectral, vegetation indices and texture features of bamboo forest in Zhejiang, were extracted from 32 Landsat TM and OLI images got from four different years (2000, 2004, 2008 and 2014). These variables were subsequently selected with stepwise regression method to build an estimation model of AGC of the bamboo forests. The results showed that (1) the accuracy of bamboo forest remote sensing information extracted from the four different years was high with a classification accuracy of >76.26% and an accuracy of users of >91.62%. The classification area of bamboo forest was highly consistent with the area from forest resource inventory, and the area accuracy was over 96.50%; (2) the estimation model performed well in predicting the AGC in Zhejiang for different years. The correlation coefficient for estimated and measured AGC was between 63% and 72% with low root mean square error; (3) the derived AGC of the bamboo forests in Zhejiang province increased gradually from 2000 to 2014, with the AGC density of 6.75 Mg·ha−1, 10.95 Mg·ha−1, 15.25 Mg·ha−1 and 19.07 Mg·ha−1 respectively, and the average annual growth of 0.88 Mg·ha−1. The spatiotemporal evolution of bamboo forest AGC in Zhejiang province had a close relationship with the gradual expansion of bamboo forest in the province and the differentiation of management levels in different regions.
Method Based on Edge Constraint and Fast Marching for Road Centerline Extraction from Very High-Resolution Remote Sensing Images
Authors: Gao Lipeng , Shi Wenzhong , Miao Zelang , Lv Zhiyong
Published: June 2018

In recent decades, road extraction from very high-resolution (VHR) remote sensing images has become popular and has attracted extensive research efforts. However, the very high spatial resolution, complex urban structure, and contextual background effect of road images complicate the process of road extraction. For example, shadows, vehicles, or other objects may occlude a road located in a developed urban area. To address the problem of occlusion, this study proposes a semiautomatic approach for road extraction from VHR remote sensing images. First, guided image filtering is employed to reduce the negative effects of nonroad pixels while preserving edge smoothness. Then, an edge-constraint-based weighted fusion model is adopted to trace and refine the road centerline. An edge-constraint fast marching method, which sequentially links discrete seed points, is presented to maintain road-point connectivity. Six experiments with eight VHR remote sensing images (spatial resolution of 0.3 m/pixel to 2 m/pixel) are conducted to evaluate the efficiency and robustness of the proposed approach. Compared with state-of-the-art methods, the proposed approach presents superior extraction quality, time consumption, and seed-point requirements.
Historical and Operational Monitoring of Surface Sediments in the Lower Mekong Basin Using Landsat and Google Earth Engine Cloud Computing
Authors: Markert Kel N. , Schmidt Calla M. , Griffin Robert E. , Flores Africa I. , Poortinga Ate , Saah David S. , Muench Rebekke E. , Clinton Nicholas E. , Chishtie Farrukh , Kityuttachai Kritsana , Someth Paradis , Anderson Eric R. , Aekakkararungroj Aekkapol , Ganz David J.
Published: June 2018

Reservoir construction and land use change are altering sediment transport within river systems at a global scale. Changes in sediment transport can impact river morphology, aquatic ecosystems, and ultimately the growth and retreat of delta environments. The Lower Mekong Basin is crucial to five neighboring countries for transportation, energy production, sustainable water supply, and food production. In response, countries have coordinated to develop programs for regional scale water quality monitoring that including surface sediment concentrations (SSSC); however, these programs are based on a limited number of point measurements and due to resource limitations, cannot provide comprehensive insights into sediment transport across all strategic locations within the Lower Mekong Basin. To augment in situ SSSC data from the current monitoring program, we developed an empirical model to estimate SSSC across the Lower Mekong Basin from Landsat observations. Model validation revealed that remotely sensed SSSC estimates captured the spatial and temporal dynamics in a range of aquatic environments (main stem of Mekong river, tributary systems, Mekong Floodplain, and reservoirs) while, on average, slightly underestimating SSSC by about 2 mg·L−1 across all settings. The operational SSSC model was developed and implemented using Google Earth Engine and Google App Engine was used to host an online application that allows users, without any knowledge of remote sensing, to access SSSC data across the region. Expanded access to SSSC data should be particularly helpful for resource managers and other stakeholders seeking to understand the dynamics between surface sediment concentrations and land use conversions, water policy, and energy production in a globally strategic region.
Fabrication of Long Period Gratings by Periodically Removing the Coating of Cladding-Etched Single Mode Optical Fiber Towards Optical Fiber Sensor Development
Authors: Ascorbe Joaquin , Corres Jesus M. , Del Villar Ignacio , Matias Ignacio R.
Published: June 2018

Here, we present a novel method to fabricate long period gratings using standard single mode optical fibers (SMF). These optical devices were fabricated in a three-step process, which consisted of etching the SMF, then coating it with a thin-film and, the final step, which involved removing sections of the coating periodically by laser ablation. Tin dioxide was chosen as the material for this study and it was sputtered using a pulsed DC sputtering system. Theoretical simulations were performed in order to select the appropriate parameters for the experiments. The responses of two different devices to different external refractive indices was studied, and the maximum sensitivity obtained was 6430 nm/RIU for external refractive indices ranging from 1.37 to 1.39.
A Low-Noise Direct Incremental A/D Converter for FET-Based THz Imaging Detectors
Authors: Khatib Moustafa , Perenzoni Matteo
Published: June 2018

This paper presents the design, implementation and characterization results of a pixel-level readout chain integrated with a FET-based terahertz (THz) detector for imaging applications. The readout chain is fabricated in a standard 150-nm CMOS technology and contains a cascade of a preamplification and noise reduction stage based on a parametric chopper amplifier and a direct analog-to-digital conversion by means of an incremental ΣΔ converter, performing a lock-in operation with modulated sources. The FET detector is integrated with an on-chip antenna operating in the frequency range of 325–375 GHz and compliant with all process design rules. The cascade of the FET THz detector and readout chain is evaluated in terms of responsivity and Noise Equivalent Power (NEP) measurements. The measured readout input-referred noise of 1.6 μ V r m s allows preserving the FET detector sensitivity by achieving a minimum NEP of 376 pW/ Hz in the optimum bias condition, while directly providing a digital output. The integrated readout chain features 65-dB peak-SNR and 80-μ W power consumption from a 1.8-V supply. The area of the antenna-coupled FET detector and the readout chain fits a pixel pitch of 455 μm, which is suitable for pixel array implementation. The proposed THz pixel has been successfully applied for imaging of concealed objects in a paper envelope under continuous-wave illumination.
Design and Vibration Suppression Control of a Modular Elastic Joint
Authors: Liu Hong , Cui Shipeng , Liu Yiwei , Ren Yi , Sun Yongjun
Published: June 2018

In this paper, a novel mechatronic design philosophy is introduced to develop a compact modular rotary elastic joint for a humanoid manipulator. The designed elastic joint is mainly composed of a brushless direct current (DC) motor, harmonic reducer, customized torsional spring, and fail-safe brake. The customized spring considerably reduces the volume of the elastic joint and facilitates the construction of a humanoid manipulator which employs this joint. The large central hole along the joint axis brings convenience for cabling and the fail-safe brake can guarantee safety when the power is off. In order to reduce the computational burden on the central controller and simplify system maintenance, an expandable electrical system, which has a double-layer control structure, is introduced. Furthermore, a robust position controller for the elastic joint is proposed and interpreted in detail. Vibration of the elastic joint is suppressed by means of resonance ratio control (RRC). In this method, the ratio between the resonant and anti-resonant frequency can be arbitrarily designated according to the feedback of the nominal spring torsion. Instead of using an expensive torque sensor, the spring torque can be obtained by calculating the product of spring stiffness and deformation, due to the high linearity of the customized spring. In addition, to improve the system robustness, a motor-side disturbance observer (DOb) and an arm-side DOb are employed to estimate and compensate for external disturbances and system uncertainties, such as model variation, friction, and unknown external load. Validity of the DOb-based RRC is demonstrated in the simulation results. Experimental results show the performance of the modular elastic joint and the viability of the proposed controller further.
Atmospheric Pollution Monitoring in Urban Area by Employing a 450-nm Lidar System
Authors: Kong Zheng , Liu Zhi , Zhang Lishan , Guan Peng , Li Limei , Mei Liang
Published: June 2018

In past decades, lidar techniques have become main tools for atmospheric remote sensing. However, traditional pulsed lidar systems are relatively expensive and require considerable maintenance. These shortcomings may be overcome by the development of a blue band Scheimpflug lidar system in Dalian, Northern China. Atmospheric remote measurements were carried out for 10 days in an urban area to validate the feasibility and performance of a 450-nm Scheimpflug lidar system. A 24-h continuous measurement was achieved in winter on a near horizontal path with an elevation angle of about 6.4°. The aerosol extinction coefficient retrieved by the Fernald-inversion algorithm shows good agreement with the variation of PM10/PM2.5 concentrations recorded by a national pollution monitoring station. The experimental result reveals that the linear ratio between the aerosol extinction coefficient and the PM10 concentration under high relative humidity (75–90%) is about two-times that in low relative humidity (≤75%) when the PM10 concentrations are less than 100 µg/m3.
An Auto-Calibrating Knee Flexion-Extension Axis Estimator Using Principal Component Analysis with Inertial Sensors
Authors: McGrath Timothy , Fineman Richard , Stirling Leia
Published: June 2018

Inertial measurement units (IMUs) have been demonstrated to reliably measure human joint angles—an essential quantity in the study of biomechanics. However, most previous literature proposed IMU-based joint angle measurement systems that required manual alignment or prescribed calibration motions. This paper presents a simple, physically-intuitive method for IMU-based measurement of the knee flexion/extension angle in gait without requiring alignment or discrete calibration, based on computationally-efficient and easy-to-implement Principle Component Analysis (PCA). The method is compared against an optical motion capture knee flexion/extension angle modeled through OpenSim. The method is evaluated using both measured and simulated IMU data in an observational study (n = 15) with an absolute root-mean-square-error (RMSE) of 9.24∘ and a zero-mean RMSE of 3.49∘. Variation in error across subjects was found, made emergent by the larger subject population than previous literature considers. Finally, the paper presents an explanatory model of RMSE on IMU mounting location. The observational data suggest that RMSE of the method is a function of thigh IMU perturbation and axis estimation quality. However, the effect size for these parameters is small in comparison to potential gains from improved IMU orientation estimations. Results also highlight the need to set relevant datums from which to interpret joint angles for both truth references and estimated data.
Improved Cross-Ratio Invariant-Based Intrinsic Calibration of A Hyperspectral Line-Scan Camera
Authors: Su Daobilige , Bender Asher , Sukkarieh Salah
Published: June 2018

Hyperspectral line-scan cameras are increasingly being deployed on mobile platforms operating in unstructured environments. To generate geometrically accurate hyperspectral composites, the intrinsic parameters of these cameras must be resolved. This article describes a method for determining the intrinsic parameters of a hyperspectral line-scan camera. The proposed method is based on a cross-ratio invariant calibration routine and is able to estimate the focal length, principal point, and radial distortion parameters in a hyperspectral line-scan camera. Compared to previous methods that use similar calibration targets, our approach extends the camera model to include radial distortion. It is able to utilize calibration data recorded from multiple camera view angles by optimizing the re-projection error of all calibration data jointly. The proposed method also includes an additional signal processing step that automatically detects calibration points in hyperspectral imagery of the calibration target. These contributions result in accurate estimates of the intrinsic parameters with minimal supervision. The proposed method is validated through comprehensive simulation and demonstrated on real hyperspectral line-scans.
Boosting a Low-Cost Smart Home Environment with Usage and Access Control Rules
Authors: Barsocchi Paolo , Calabrò Antonello , Ferro Erina , Gennaro Claudio , Marchetti Eda , Vairo Claudio
Published: June 2018

Smart Home has gained widespread attention due to its flexible integration into everyday life. Pervasive sensing technologies are used to recognize and track the activities that people perform during the day, and to allow communication and cooperation of physical objects. Usually, the available infrastructures and applications leveraging these smart environments have a critical impact on the overall cost of the Smart Home construction, require to be preferably installed during the home construction and are still not user-centric. In this paper, we propose a low cost, easy to install, user-friendly, dynamic and flexible infrastructure able to perform runtime resources management by decoupling the different levels of control rules. The basic idea relies on the usage of off-the-shelf sensors and technologies to guarantee the regular exchange of critical information, without the necessity from the user to develop accurate models for managing resources or regulating their access/usage. This allows us to simplify the continuous updating and improvement, to reduce the maintenance effort and to improve residents’ living and security. A first validation of the proposed infrastructure on a case study is also presented.
The Role of Taste Receptors in Airway Innate Immune Defense
Authors: Workman Alan D. , Patel Neil N. , Carey Ryan M. , Kuan Edward C. , Cohen Noam A.
Published: June 2018

Bitter (T2R) and sweet (T1R) taste receptors are expressed in the upper airway, where they play key roles in antimicrobial innate immune defense. Bitter bacterial products are detected by taste receptors on ciliated cells and solitary chemosensory cells, resulting in downstream nitric oxide and antimicrobial peptide release, respectively. Genetic polymorphisms in taste receptors contribute to variations in T1R and T2R functionality, and phenotypic differences correlate with disease status and disease severity in chronic rhinosinusitis (CRS). Correspondingly, there are also subjective bitter and sweet taste differences between patients with CRS and individuals without CRS across a number of compounds. The ability to capture these differences with a simple and inexpensive taste test provides a potentially useful diagnostic tool, while bitter compounds themselves could potentially serve as therapeutic agents. The present review examines the physiology of airway taste receptors and the recent literature elucidating the role taste receptors play in rhinologic disease.
The Heavy Cost of Care: Systemic Challenges in Norwegian Work Absenteeism
Authors: Palmer Erika
Published: June 2018

The cost of work absenteeism (sickness absence) is high in Norway (120 billion NOK), which threatens the economic sustainability of the Norwegian welfare state. Social sustainability is also challenged with women having a higher absenteeism rate than men. I use system dynamics modeling to explore how women attain a high rate of work absenteeism. Care work is the chosen case because this is the profession category where women are most represented. The results do not support the double burden theory, though several structural mechanisms indicate that competing theories of female absenteeism illustrate different sides of the same phenomenon.
Green Product Development with Consumer Heterogeneity under Horizontal Competition
Authors: Xu Bing , Xu Qingyun , Bo Qiushi , Hu Qifan
Published: June 2018

In this paper, we explore the pricing and greenness issues of two competitive firms without and with consumer heterogeneity. We derive and compare the optimal solutions and profits employed by firms under different scenarios. Then, we identify the effects of consumer heterogeneity under different competition intensities. The analytical results reveal that if market competition is at a relatively low level, we find that: (i) when the greenness sensitivity of consumers with no preference is sufficiently small, more consumers have high environmental awareness, and companies easily achieve their environmental goals as well as economic goals; (ii) when the greenness sensitivity of consumers with no preference is at a medium level, as the fraction of consumers with high environmental awareness increases, and the firm might achieve economic goals at the cost of reducing environmental goals; and (iii) when the greenness sensitivity of consumers with no preference is at a high level, the fraction of consumers with high environmental awareness increases, but firms might have more difficulty achieving their environmental and economic goals. On the other hand, if the market competition is at a relatively high level, the presence of consumer heterogeneity can help improve environmental goals, but make achievement of economic goals difficult.
Farmers’ Cognition and Behavioral Response towards Cultivated Land Quality Protection in Northeast China
Authors: Liu Hongbin , Zhou Yuepeng
Published: June 2018

The purpose of this paper is to investigate the impacts of farmers’ cognition of cultivated land quality protection (CLQP) on their behavioral response to land use practices. To this end, this paper establishes a theoretical framework linking farmers’ cognition (on CLQP status, policies and patterns) to their behavioral response (choices of farming methods, land inputs and agricultural waste disposal methods). A field survey was conducted in suburban areas in Liaoning province, Northeast China. A total of 240 households were selected using stratified random sampling. Results show that: (i) in regards to household cognition on CLQP, although a majority of households agree that CLQP is important and have a strong willingness to protect cultivated land quality, their cognition on the future prospect of CLQP is not optimistic; (ii) with regard to household responses to land use practices, a number of households have realized the importance of crop rotation, however, the use of chemical fertilizers is mostly based on past experience and is often excessive. Besides, the disposal of agricultural waste is inappropriate; (iii) household cognition on CLQP policies is found to be the most powerful factor that could lead to an improvement of CLQP practices. It is thus concluded that the government should help households adopt effective farming methods which are environmentally-friendly and sustainable by enhancing publicity of CLQP policies and strengthening farmers’ confidence in CLQP.
Participatory Climate Change Impact Assessment in Three Czech Cities: The Case of Heatwaves
Authors: Krkoška Lorencová Eliška , Whitham Charlotte E. L. , Bašta Petr , Harmáčková Zuzana Veronika , Štěpánek Petr , Zahradníček Pavel , Farda Aleš , Vačkář David
Published: June 2018

Cities are complex socioecological systems that are particularly vulnerable to the impacts of climate change and are also exposed to other trends, such as urbanization and population aging. Due to the changing climate, days with extreme temperatures are expected to become more numerous, which is particularly important for urban areas, where the urban heat island phenomenon is observed. This study presents an example of a spatially explicit potential climate change impact assessment of heatwaves integrating both science and stakeholder participation for three large Czech cities (Prague, Brno, and Pilsen). Stakeholder participation exercises were used to prioritize climate change risks, provide impetus and opportunity for knowledge co-production, and support adaptation planning. Potential climate change impacts of heatwaves in the three Czech cities for the current baseline (1981–2010) and for the future (2021–2040) using Representative Concentration Pathways (RCPs)—RCP 4.5 and RCP 8.5, were mapped at two levels describing “in-city” and “inter-city” comparison. When comparing the potential impact of heatwaves across the three cities (“inter-city”), the most affected city is Brno, with 10.5% of its area in the very high impact category for the baseline and both RCPs. The “in-city” comparison shows the differences between the baseline and future scenarios of each city. The assessment of heatwaves’ impacts was further used to support urban adaptation planning.
Crafting Sustainability: Handcraft in Contemporary Art and Cultural Sustainability in the Finnish Lapland
Authors: Härkönen Elina , Huhmarniemi Maria , Jokela Timo
Published: June 2018

Crafting sustainability is discussed here with respect to the dimensions of handcraft traditions in contemporary art for promoting cultural sustainability in the Scandinavian North. Aspects of decolonization, cultural revitalisation, and intergenerational dialogue form an integral part of the negotiations around the need for cultural survival and renewal for a more sustainable future. These dimensions should also be considered in the development of the current education of art teachers. Learning traditional skills and applying them in contemporary art constitute an influential method when striving for cultural sustainability. This study examines three handcraft-based contemporary art cases through art-based action research conducted in the Finnish and the Swedish Lapland. The results show that handcraft-based contemporary art practices with place-specific intergenerational and intercultural approaches create an open space for dialogue where the values and the perceptions on cultural heritage can be negotiated.
Prevention of Catastrophic Volcanic Eruptions, Large Earthquakes underneath Big Cities, and Giant Earthquakes at Subduction Zones
Authors: Fujii Yoshiaki , Sheshpari Morteza , Kodama Jun-ichi , Fukuda Daisuke , Dassanayake Anjula BN
Published: June 2018

Catastrophic volcanic eruptions, large earthquakes beneath big cities, or giant earthquakes at subduction zones are apparently the biggest problems facing the sustainability of human society. However, imminent prediction methods for these events have never been established, except that volcanic eruptions can only be predicted by exceptional efforts by dedicated researchers. Even if a prediction method has been established, the method cannot significantly reduce infrastructure damage, although it could slightly reduce the number of fatalities. On the other hand, prevention of eruptions or earthquakes could significantly reduce, not only the number of fatalities, but also infrastructure damage. Therefore, the authors propose (1) gradual energy release by supercritical power generation to prevent catastrophic eruptions; (2) gradual seismic energy release by injecting water into seismic sources to prevent large earthquakes beneath big cities; and (3) exploding existing nuclear warheads underground to prevent giant earthquakes at subduction zones. Necessary technical developments, costs, risks, and problems will also be explained.
Impact of Agricultural Labor Transfer and Structural Adjustment on Chemical Application: Comparison of Past Developments in the Ecological Civilization Pilot Zones of China and Their Future Implications
Authors: Lu Hua , Xie Hualin , Chen Qianru , Jiang Jinfa
Published: June 2018

Reducing the application of agricultural chemicals is a key point in promoting the construction of an ecological civilization and the green development of the agricultural sector. Based on statistical yearbook data from provinces which became the first national ecological civilization pilot zones in China, this paper quantitatively analyzes the impact of labor transfers and structural adjustment of agriculture on the application of agricultural chemicals by using comparative analysis and a panel data model. The results show that the amplitude of the agricultural labor force in Fujian, Guizhou, and Jiangxi decreases successively. The planting structure adjustment for grain crops is slowest in Jiangxi, while the sown area of cash crops, such as vegetables, increases at the fastest rate in Guizhou. The increase of horticultural plants, such as orchards is the most obvious in Jiangxi. The application of agricultural chemicals grows quickly. The influence of the agricultural labor force scale on the application of fertilizers and pesticides is statistically significantly negative. The ratio of the sown area of non-grain crops to the total sown area has a positive effect on the application of fertilizers and pesticides. In the context of the continuing agricultural labor transfer in China, combining the structural adjustment of agriculture and the supply of high-quality agricultural products, the government should actively guide and support new agricultural business entities in applying organic manure. Additionally, it should accelerate the development of smaller agricultural machinery that can be used for smaller land areas and by elderly people to reduce the application of chemical fertilizer and pesticide.
Regenerative Development as an Integrative Paradigm and Methodology for Landscape Sustainability
Authors: Gibbons Leah , Cloutier Scott , Coseo Paul , Barakat Ahmed
Published: June 2018

Although the integration of sustainability, ecology, and design has been recognized as necessary by scientists and practitioners, most transdisciplinary frameworks are not inclusive of the worldviews, paradigms, aims, processes, and components necessary for sustainability. Landscape sustainability science helps to focus scientist, scholar, practitioner, and stakeholder efforts toward sustainability at a pivotal level; however, collaboration and progress have been slow. Significant potential exists for design to be an integrative and transformational methodology toward landscape sustainability, yet it has not fulfilled this ambitious role. In this paper, we first build a case for regenerative development, a development and design methodology based on an ecological worldview, as an integrative platform for a new paradigm. This new paradigm, which we call regenerative landscape development, has the potential to thoroughly catalyze a shift toward regenerative sustainability. We then detail this new paradigm as a process that could continually enhance the capacities of living systems to increase health, well-being, and happiness. Next, to illustrate regenerative development in practice, we provide brief case studies of projects in Viña del Mar, Chile and Juluchuca, Guerrero, Mexico. Finally, we propose future recommendations and precautions in the construction of regenerative landscape development as a new paradigm. If fully understood, embraced, and realized, regenerative development holds incredible potential for a sustainable future.
Dynamically Controlled Length of Training Data for Sustainable Portfolio Selection
Authors: Raudys Sarunas , Raudys Aistis , Pabarskaite Zidrina
Published: June 2018

In a constantly changing market environment, it is a challenge to construct a sustainable portfolio. One cannot use too long or too short training data to select the right portfolio of investments. When analyzing ten types of recent (up to April 2018) extremely high-dimensional time series from automated trading domains, it was discovered that there is no a priori ‘optimal’ length of training history that would fit all investment tasks. The optimal history length depends of the specificity of the data and varies with time. This statement was also confirmed by the analysis of dozens of multi-dimensional synthetic time series data generated by excitable medium models frequently considered in studies of chaos. An algorithm for determining the optimal length of training history to produce a sustainable portfolio is proposed. Monitoring the size of the learning data can be useful in data mining tasks used in the analysis of sustainability in other research disciplines.
Greenhouse Gas Emission Intensities for the Livestock Sector in Indonesia, Based on the National Specific Data
Authors: Nugrahaeningtyas Eska , Baek Chun-Youl , Jeon Jung-Hwan , Jo Hyun-Jung , Park Kyu-Hyun
Published: June 2018

The aims of this study were to calculate greenhouse gas (GHG) emissions and to identify the trends of GHG emission intensity, based on meat production from the livestock sector in Indonesia, which had not been done before. The total emissions from the livestock sector from 2000 to 2015 in Indonesia were calculated using the 2006 Intergovernmental Panel on Climate Change Guideline (2006 IPCC GL) using Tier 1 and Tier 2, with its default values and some of the country specific data that were found in the grey literature. During 2000 to 2015, the change from the Tier 1 to Tier 2 methods resulted in an approximately 7.39% emission decrease from enteric fermentation and a 4.24% increase from manure management, which resulted in a 4.98% decrease in the total emissions. The shared emission from manure management increased by about 9% and 6% using Tier 1 and Tier 2, respectively. In contrast with the total emissions, the overall emission intensity in Indonesia decreased (up to 60.77% for swine), showing that the livestock productivity in Indonesia has become more efficient. In order to meet the meat demand with less GHG emissions, chicken farming is one option to be developed. The increased emission and share from manure management indicated that manure management system needs to be of concern, especially for beef cattle and swine.
Academic Relational Civility as a Key Resource for Sustaining Well-Being
Authors: Di Fabio Annamaria , Kenny Maureen E.
Published: June 2018

In the 21st century, which has been characterized by complexity, instability, and continuous change, the well-being of individuals is threatened. The health and well-being of individuals are recognized as one of the 17 sustainable development goals of the United Nations. From a primary prevention perspective, physical and psychological health can be augmented through the early identification and promotion of key psychological resources that sustain well-being across one’s lifetime. With that goal in mind, the present study explored potential relationships between academic relational civility and both hedonic (positive affect, negative affect, and life satisfaction) and eudaimonic well-being (meaning in life and flourishing), controlling for the effect of personality traits among university students. The Big Five Questionnaire (BFQ), the Academic Relational Civility Scale (ARCS), the Positive and Negative Affect Schedule (PANAS), the Satisfaction With Life Scale (SWLS), the Meaning in Life Measure (MLM), and the Flourishing Scale (FS), were administered to 241 Italian university students. Regression analyses identified that academic relational civility contributed significantly to hedonic and eudaimonic well-being beyond the contribution of stable personality factors. Academic relational civility may represent one psychological resource for supporting and sustaining hedonic and eudaimonic well-being, suggesting the need for further research and intervention.
A Game Theoretic Approach for Improving Environmental and Economic Performance in a Dual-Channel Green Supply Chain
Authors: Ma Weimin , Cheng Zhengrong , Xu Shiwei
Published: June 2018

In this paper, we investigate economic performance and environmental performance of a dual-channel green supply chain (GSC). Given that most relevant literature still focus on the descriptive aspect of GSC, we adopt game theoretic approach rather than qualitative analysis method to address the following problems: (1) How can the integration of environmental and economic sustainability goals be achieved in GSC? (2) What is the impact of customer environmental awareness on the green level and profitability of the GSC? (3) How does the market demand changes in the presence of the online direct channel in addition to the traditional one? We establish four game models, which are decentralized scenario, centralized scenario, retailer-led revenue-sharing scenario and bargaining revenue-sharing scenario. In the decentralized scenario, participants in a GSC make individual decisions based on their specific interests. In the centralized scenario, the GSC is regarded as a whole and the participants make collective decisions to maximize the overall profit of the GSC. In addition, in the two revenue-sharing scenarios, revenue-sharing contracts as the important profit coordination systems are set up and the revenue-sharing ratio is determined either by the retailer or through bargaining. Moreover, the cost of green product research and development, customer environmental awareness and price sensitivity are also taken into account in the four scenarios. By comparing and analyzing the four game models, we recommend the two revenue-sharing scenarios as the optimum choice and improving green awareness as a feasible strategy to achieve the integration of economic and environmental goals of the GSC. Additionally, we find that online sales has become a major distribution channel of the GSC.
Women’s Empowerment and Climate Change Adaptation in Gujarat, India: A Case-Study Analysis of the Local Impact of Transnational Advocacy Networks
Authors: Christoff Peggy Spitzer , Sommer Jamie M.
Published: June 2018

(1) As on-the-ground projects come into existence and continue to expand to adapt to climate change and empower women, it is important to understand their location within Transnational Advocacy Networks (TANs). Using Bhungroo technology, we conduct case-study research to assess the potential of TANs to increase the scope and scale of local projects as well as the ability of similar and emerging projects to create sustainable social and environmental change at local levels; (2) Using the theoretical and cross-disciplinary contributions of Keck and Sikkink and Appiah, our methodology focuses on analyzing interviews and earned media hits data from the UNFCCC Momentum for Change; (3) We find that while TANs may help increase the scale and scope of climate change projects, increasing their ability to effectively reach more people and areas is not completely certain, based on this case study; (4) We conclude by proposing ways women’s political participation may be enhanced by similar projects.
The Impact of Labor Union Influence on Corporate Social Responsibility
Authors: Chun Hong-Min , Shin Sang-Yi
Published: June 2018

This study examines the effects of labor union influence on the corporate social responsibility (CSR) of Korean firms, which is regarded as a pertinent sustainable factor to meet the various demands of the organizations around a firm. Further, this paper implies that labor unions might be part of a group of stakeholders that affect firms’ CSR activity. The empirical results suggest labor union existence as well as the labor unionization ratio is negatively associated with firms’ CSR activity. Additionally, this negative association is more pronounced for non-owner manager firms. Additional robustness tests using quantile regression, two-stage least squares (2SLS) regression, and the Heckman two-step analysis support the above findings. Therefore, we conclude that labor unions might cooperate with non-owner managers to decrease firms’ CSR activity because decreasing CSR expenditure makes for a favorable wage negotiation process that advocates labor unions’ rent seeking behavior and non-owner managers’ agreement with labor unions in terms of business performance during their tenure.
A Typology Framework for Trade-Offs in Development and Disaster Risk Reduction: A Case Study of Typhoon Haiyan Recovery in Tacloban, Philippines
Authors: Tuhkanen Heidi , Boyland Michael , Han Guoyi , Patel Anjalee , Johnson Karlee , Rosemarin Arno , Lim Mangada Ladylyn
Published: June 2018

Development and disaster risk are deeply linked. Disasters reverse development gains; development initiatives influence the risk, vulnerability, and exposure of people, assets, and environments to disasters. Hence, knowledge of key dimensions of the potential trade-offs between development and disaster risk reduction (DRR) may inform decision-making processes, goals, and initiatives in ways that have potential to address unsustainable development practices that are commonplace in countries of all economic levels. This paper presents, explores, and tests a conceptual framework for analysing the trade-offs that underpin this relationship as evidenced through policy goals, initiatives, and decision-making processes. We categorise key dimensions of relevant trade-offs into five specific dimensions: (i) The aggregation of development and DRR gains and losses, (ii) risk prioritisation when seeking to reduce multiple risks, (iii) the equity of decision-making processes and outcomes, (iv) the balancing of near- and long-term goals, and (v) the distribution of power and participation. By framing key questions related to each trade-off dimension, we test the framework in the context of a major disaster recovery process in Tacloban, the Philippines, following Typhoon Haiyan (Yolanda) in November 2013. We consider how decision-making trade-offs can be made more visible and useful in the pursuit of transformative change in development and DRR.
How Do Conservation and the Tourism Industry Affect Local Livelihoods? A Comparative Study of Two Nature Reserves in China
Authors: Wang Weiye , Liu Jinlong , Kozak Robert , Jin Mengmeng , Innes John L.
Published: June 2018

Drawing on a comparison of two different nature reserves (NRs) in China, this paper explores the effect of the establishment of the NRs and the associated tourism industry development on local livelihoods, and analyzes why they differed. One hundred semi-structured interviews were administered with local elites, villagers, and government officials to identify livelihood changes. Based on a modified sustainable livelihoods framework, we found that the livelihoods of people living in both NRs had improved, but there was a loss of traditional culture and weakened social connections. The provision of alternative livelihoods options was critical for local people, with these options needing to have strong connections to China’s development policies. The results point to the importance of providing alternative livelihood strategies when establishing new conservation areas. This requires holistic management plans that not only address conservation, but also consider the impacts on local people.