bluuebunny/crossref_metadata_2025 huggingface dataset:
Doors to the Imaginal: Implications of Sunni Islam’s Persecution of the Ahmadi “Heresy”
Authors: Qadir Ali
Published: March 2018

This article focuses on the implications of Sunni persecution of Ahmadiyyat by analyzing texts by the movement’s founder, Mirza Ghulam Ahmad, to identify the epistemological basis of his claims to prophecy in 19th century India. Rather than situating the claims within an Arabist, juridico-theological lineage, as is normally done, the analysis emphasizes their points of convergence with Persianate, Illuminationist theosophy of the 12th century mystic, Suhravardi. This convergence rests on acknowledging the existence of an intermediate cosmological realm that Henry Corbin termed the mundus imaginalis, which can be accessed by the subtle imagination of spiritual adepts and prophets. Situating Ahmadiyyat within the Persianate theosophical tradition sheds new light on the community’s persecution. In declaring Ahmadiyyat as “heresy,” and in Sunnism’s symbolic violence against Ahmadiyyat, the theosophical features of Ahmad’s thought have also been marginalized. Consequently, Sunni Muslims around the world are excluding Muslim access to the imaginal realm. The conclusion points out how other communities have faced and are facing similar exclusion on similar grounds, and argues for further investigation into the axiom that exclusion of the imaginal is a feature of modernity.
Religious Affiliations of the Chinese Community in Australia: Findings from 2016 Census Data
Authors: Tao Yu , Stapleton Theo
Published: March 2018

Through a systematic investigation—the first attempt of this kind—into the recently released 2016 Australian census data, this article presents a comprehensive and up-to-date overview of the religious identity of the Chinese Community in contemporary Australia. Based on the empirical information derived from the census, this article details and interrogates the apparent high level of secularity among the Chinese community in Australia. It also demonstrates that, whilst Christianity is the most popular religion within the Chinese community, the proportion of people who claim to be Christian is significantly lower in the Chinese community as compared to Australia’s general population. Furthermore, the proportion of believers in Buddhism, Ancestor Veneration, Confucianism, and Taoism within the Chinese community is significantly higher than the same proportion found within Australia’s general population. It is also shown that even when using different definitions to demarcate the Chinese community, those being self-reported ancestry, languages spoken at home, or the birthplaces of parents, the religious profile of the community remains relatively stable. However, a further breakdown into ancestral, geographical, and linguistic groups reveals some noteworthy differences.
Dust Detection and Intensity Estimation Using Himawari-8/AHI Observation
Authors: She Lu , Xue Yong , Yang Xihua , Guang Jie , Li Ying , Che Yahui , Fan Cheng , Xie Yanqing
Published: March 2018

In this study, simple dust detection and intensity estimation methods using Himawari-8 Advanced Himawari Imager (AHI) data are developed. Based on the differences of thermal radiation characteristics between dust and other typical objects, brightness temperature difference (BTD) among four channels (BT11–BT12, BT8–BT11, and BT3–BT11) are used together for dust detection. When considering the thermal radiation variation of dust particles over different land cover types, a dynamic threshold scheme for dust detection is adopted. An enhanced dust intensity index (EDII) is developed based on the reflectance of visible/near-infrared bands, BT of thermal-infrared bands, and aerosol optical depth (AOD), and is applied to the detected dust area. The AOD is retrieved using multiple temporal AHI observations by assuming little surface change in a short time period (i.e., 1–2 days) and proved with high accuracy using the Aerosol Robotic Network (AERONET) and cross-compared with MODIS AOD products. The dust detection results agree qualitatively with the dust locations that were revealed by AHI true color images. The results were also compared quantitatively with dust identification results from the AERONET AOD and Ångström exponent, achieving a total dust detection accuracy of 84%. A good agreement is obtained between EDII and the visibility data from National Climatic Data Center ground measurements, with a correlation coefficient of 0.81, indicating the effectiveness of EDII in dust monitoring.
Estimating Sub-Pixel Soybean Fraction from Time-Series MODIS Data Using an Optimized Geographically Weighted Regression Model
Authors: Hu Qiong , Ma Yaxiong , Xu Baodong , Song Qian , Tang Huajun , Wu Wenbin
Published: March 2018

Soybean cultivation in China has significantly decreased due to the rising import of genetically modified soybeans from other countries. Understanding soybean’s extent and change information is of great value for national agricultural policy implications and global food security. Some previous studies have explored the quantitative relationships between crop area and spectral variables derived from remote sensing data. However, both those linear or non-linear relationships were expressed by global regression models, which ignored the spatial non-stationarity of crop spectral signature and may limit the prediction accuracy. This study presented a geographically weighted regression model (GWR) to estimate fractional soybean at 250 m spatial resolution in Heilongjiang Province, one of the most important food production regions in China, using time-series MODIS data and high-quality calibration information derived from Landsat data. A forward stepwise optimization strategy was embedded with the GWR model to select the optimal subset of independent variables for soybeans. Normalized Difference Vegetation Index (NDVI) of Julian day 233 to 257 when soybeans are filling seed was found to be the most important temporal period for sub-pixel soybean area estimation. Our MODIS-based soybean area compared well with Landsat-based results at pixel-level. Also, there was a good agreement between the MODIS-based result and census data at county level, with the coefficient of determination (R2) of 0.80 and the root mean square error (RMSE) was 340.21 km2. Additionally, F-test results showed GWR model had better model goodness-of-fit and higher prediction accuracy than the traditional ordinary least squares (OLS) model. These promising results suggest crop spectral variations both at temporal and spatial scales should be considered when exploring its relationship with pixel-level crop acreage. The optimized GWR model by combining an automated feature selection strategy has great potential for estimating sub-pixel crop area at regional scale based on remote sensing time-series data.
Detecting Forest Road Wearing Course Damage Using Different Methods of Remote Sensing
Authors: Hrůza Petr , Mikita Tomáš , Tyagur Nataliya , Krejza Zdenek , Cibulka Miloš , Procházková Andrea , Patočka Zdeněk
Published: March 2018

Currently, a large part of forest roads with a bituminous surface course constructed in the Czech Republic in the second half of the last century has been worn out. The aim of the study is to verify the possibility and the accuracy of the road wearing course damage detected by four different remote sensing methods: close range photogrammetry, terrestrial laser scanning, mobile laser scanning and airborne laser scanning. At the beginning of verification, cross sections of the road surface were surveyed geodetically and then compared with the cross sections created in the DTMs which were acquired using the four methods mentioned above. The differences calculated between particular models and geodetic measurements show that close range photogrammetry achieved an RMSE of 0.0110 m and the RMSE of terrestrial laser scanning was 0.0243 m. Based on these results, we can conclude that these two methods are sufficient for the monitoring of the asphalt wearing course of forest roads. These methods allow precise and objective localization, size and quantification of the road damage. By contrast, mobile laser scanning with an RMSE of 0.3167 m does not reach the required precision for the damage detection of forest roads due to the vegetation that affects the precision of the measurements. Similar results are achieved by airborne laser scanning, with an RMSE of 0.1392 m. As regards the time needed, close range photogrammetry appears to be the most appropriate method for damage detection of forest roads.
Thaw Subsidence of a Yedoma Landscape in Northern Siberia, Measured In Situ and Estimated from TerraSAR-X Interferometry
Authors: Antonova Sofia , Sudhaus Henriette , Strozzi Tazio , Zwieback Simon , Kääb Andreas , Heim Birgit , Langer Moritz , Bornemann Niko , Boike Julia
Published: March 2018

In permafrost areas, seasonal freeze-thaw cycles result in upward and downward movements of the ground. For some permafrost areas, long-term downward movements were reported during the last decade. We measured seasonal and multi-year ground movements in a yedoma region of the Lena River Delta, Siberia, in 2013–2017, using reference rods installed deep in the permafrost. The seasonal subsidence was 1.7 ± 1.5 cm in the cold summer of 2013 and 4.8 ± 2 cm in the warm summer of 2014. Furthermore, we measured a pronounced multi-year net subsidence of 9.3 ± 5.7 cm from spring 2013 to the end of summer 2017. Importantly, we observed a high spatial variability of subsidence of up to 6 cm across a sub-meter horizontal scale. In summer 2013, we accompanied our field measurements with Differential Synthetic Aperture Radar Interferometry (DInSAR) on repeat-pass TerraSAR-X (TSX) data from the summer of 2013 to detect summer thaw subsidence over the same study area. Interferometry was strongly affected by a fast phase coherence loss, atmospheric artifacts, and possibly the choice of reference point. A cumulative ground movement map, built from a continuous interferogram stack, did not reveal a subsidence on the upland but showed a distinct subsidence of up to 2 cm in most of the thermokarst basins. There, the spatial pattern of DInSAR-measured subsidence corresponded well with relative surface wetness identified with the near infra-red band of a high-resolution optical image. Our study suggests that (i) although X-band SAR has serious limitations for ground movement monitoring in permafrost landscapes, it can provide valuable information for specific environments like thermokarst basins, and (ii) due to the high sub-pixel spatial variability of ground movements, a validation scheme needs to be developed and implemented for future DInSAR studies in permafrost environments.
Optimisation of Savannah Land Cover Characterisation with Optical and SAR Data
Authors: Symeonakis Elias , Higginbottom Thomas , Petroulaki Kyriaki , Rabe Andreas
Published: March 2018

Accurately mapping savannah land cover at the regional scale can provide useful input to policy decision making efforts regarding, for example, bush control or overgrazing, as well as to global carbon emissions models. Recent attempts have employed Earth observation data, either from optical or radar sensors, and most commonly from the dry season when the spectral difference between woody vegetation, crops and grasses is maximised. By far the most common practice has been the use of Landsat optical bands, but some studies have also used vegetation indices or SAR data. However, conflicting reports with regards to the effectiveness of the different approaches have emerged, leaving the respective land cover mapping community with unclear methodological pathways to follow. We address this issue by employing Landsat and Advanced Land Observing Satellite Phased Array type L-band Synthetic Aperture Radar (ALOS PALSAR) data to assess the accuracy of mapping the main savannah land cover types of woody vegetation, grassland, cropland and non-vegetated land. The study area is in southern Africa, covering approximately 44,000 km2. We test the performance of 15 different models comprised of combinations of optical and radar data from the dry and wet seasons. Our results show that a number of models perform well and very similarly. The highest overall accuracy is achieved by the model that incorporates both optical and synthetic-aperture radar (SAR) data from both dry and wet seasons with an overall accuracy of 91.1% (±1.7%): this is almost a 10% improvement from using only the dry season Landsat data (81.7 ± 2.3%). The SAR-only models were capable of mapping woody cover effectively, achieving similar or lower omission and commission errors than the optical models, but other classes were detected with lower accuracies. Our main conclusion is that the combination of metrics from different sensors and seasons improves results and should be the preferred methodological pathway for accurate savannah land cover mapping, especially now with the availability of Sentinel-1 and Sentinel-2 data. Our findings can provide much needed assistance to land cover monitoring efforts to savannahs in general, and in particular to southern African savannahs, where a number of land cover change processes have been related with the observed land degradation in the region.
SAR Automatic Target Recognition Using a Roto-Translational Invariant Wavelet-Scattering Convolution Network
Authors: Wang Haipeng , Li Suo , Zhou Yu , Chen Sizhe
Published: March 2018

The algorithm of synthetic aperture radar (SAR) for automatic target recognition consists of two stages: feature extraction and classification. The quality of extracted features has significant impacts on the final classification performance. This paper presents a SAR automatic target classification method based on the wavelet-scattering convolution network. By introducing a deep scattering convolution network with complex wavelet filters over spatial and angular variables, robust feature representations can be extracted across various scales and angles without training data. Conventional dimension reduction and a support vector machine classifier are followed to complete the classification task. The proposed method is then tested on the moving and stationary target acquisition and recognition (MSTAR) benchmark data set and achieves an average accuracy of 97.63% on the classification of ten-class targets without data augmentation.
Robust Spacecraft Component Detection in Point Clouds
Authors: Wei Quanmao , Jiang Zhiguo , Zhang Haopeng
Published: March 2018

Automatic component detection of spacecraft can assist in on-orbit operation and space situational awareness. Spacecraft are generally composed of solar panels and cuboidal or cylindrical modules. These components can be simply represented by geometric primitives like plane, cuboid and cylinder. Based on this prior, we propose a robust automatic detection scheme to automatically detect such basic components of spacecraft in three-dimensional (3D) point clouds. In the proposed scheme, cylinders are first detected in the iteration of the energy-based geometric model fitting and cylinder parameter estimation. Then, planes are detected by Hough transform and further described as bounded patches with their minimum bounding rectangles. Finally, the cuboids are detected with pair-wise geometry relations from the detected patches. After successive detection of cylinders, planar patches and cuboids, a mid-level geometry representation of the spacecraft can be delivered. We tested the proposed component detection scheme on spacecraft 3D point clouds synthesized by computer-aided design (CAD) models and those recovered by image-based reconstruction, respectively. Experimental results illustrate that the proposed scheme can detect the basic geometric components effectively and has fine robustness against noise and point distribution density.
The Effect of Vibration Characteristics on the Atomization Rate in a Micro-Tapered Aperture Atomizer
Authors: Yan Qiufeng , Zhang Jianhui , Huang Jun , Wang Ying
Published: March 2018

Because little is known about the atomization theory of a micro-tapered aperture atomizer, we investigated the vibration characteristics of this type of atomizer. The atomization mechanism of a micro-tapered aperture atomizer was described, and the atomization rate equation was deduced. As observed via microscopy, the angle of the micro-tapered aperture changes with the applied voltage, which proved the existence of a dynamic cone angle. The forward and reverse atomization rates were measured at various voltages, and the influence of the micro-tapered aperture and its variation on the atomization rate was characterized. The resonance frequency of the piezoelectric vibrator was obtained using a laser vibrometer, and the atomization rates were measured at each resonance frequency. From experiments, we found that the atomization rates at the first five resonance frequencies increased as the working frequency increased. At the fifth resonance frequency (121.1 kHz), the atomization rate was maximized (0.561 mL/min), and at the sixth resonance frequency (148.3 kHz), the atomization rate decreased significantly (0.198 mL/min). The experimental results show that the vibration characteristics of the piezoelectric vibrator have a relatively strong impact on the atomization rate. This research is expected to contribute to the manufacture of micro-tapered aperture atomizers.
Application of Least-Squares Support Vector Machines for Quantitative Evaluation of Known Contaminant in Water Distribution System Using Online Water Quality Parameters
Authors: Wang Kexin , Wen Xiang , Hou Dibo , Tu Dezhan , Zhu Naifu , Huang Pingjie , Zhang Guangxin , Zhang Hongjian
Published: March 2018

In water-quality, early warning systems and qualitative detection of contaminants are always challenging. There are a number of parameters that need to be measured which are not entirely linearly related to pollutant concentrations. Besides the complex correlations between variable water parameters that need to be analyzed also impairs the accuracy of quantitative detection. In aspects of these problems, the application of least-squares support vector machines (LS-SVM) is used to evaluate the water contamination and various conventional water quality sensors quantitatively. The various contaminations may cause different correlative responses of sensors, and also the degree of response is related to the concentration of the injected contaminant. Therefore to enhance the reliability and accuracy of water contamination detection a new method is proposed. In this method, a new relative response parameter is introduced to calculate the differences between water quality parameters and their baselines. A variety of regression models has been examined, as result of its high performance, the regression model based on genetic algorithm (GA) is combined with LS-SVM. In this paper, the practical application of the proposed method is considered, controlled experiments are designed, and data is collected from the experimental setup. The measured data is applied to analyze the water contamination concentration. The evaluation of results validated that the LS-SVM model can adapt to the local nonlinear variations between water quality parameters and contamination concentration with the excellent generalization ability and accuracy. The validity of the proposed approach in concentration evaluation for potassium ferricyanide is proven to be more than 0.5 mg/L in water distribution systems.
Miniaturized Bio-and Chemical-Sensors for Point-of-Care Monitoring of Chronic Kidney Diseases
Authors: Tricoli Antonio , Neri Giovanni
Published: March 2018

This review reports the latest achievements in point-of-care (POC) sensor technologies for the monitoring of ammonia, creatinine and urea in patients suffering of chronic kidney diseases (CKDs). Abnormal levels of these nitrogen biomarkers are found in the physiological fluids, such as blood, urine and sweat, of CKD patients. Delocalized at-home monitoring of CKD biomarkers via integration of miniaturized, portable, and low cost chemical- and bio-sensors in POC devices, is an emerging approach to improve patients’ health monitoring and life quality. The successful monitoring of CKD biomarkers, performed on the different body fluids by means of sensors having strict requirements in term of size, cost, large-scale production capacity, response time and simple operation procedures for use in POC devices, is reported and discussed.
An Equivalent Circuit of Longitudinal Vibration for a Piezoelectric Structure with Losses
Authors: Yuan Tao , Li Chaodong , Fan Pingqing
Published: March 2018

Equivalent circuits of piezoelectric structures such as bimorphs and unimorphs conventionally focus on the bending vibration modes. However, the longitudinal vibration modes are rarely considered even though they also play a remarkable role in piezoelectric devices. Losses, especially elastic loss in the metal substrate, are also generally neglected, which leads to discrepancies compared with experiments. In this paper, a novel equivalent circuit with four kinds of losses is proposed for a beamlike piezoelectric structure under the longitudinal vibration mode. This structure consists of a slender beam as the metal substrate, and a piezoelectric patch which covers a partial length of the beam. In this approach, first, complex numbers are used to deal with four kinds of losses—elastic loss in the metal substrate, and piezoelectric, dielectric, and elastic losses in the piezoelectric patch. Next in this approach, based on Mason’s model, a new equivalent circuit is developed. Using MATLAB, impedance curves of this structure are simulated by the equivalent circuit method. Experiments are conducted and good agreements are revealed between experiments and equivalent circuit results. It is indicated that the introduction of four losses in an equivalent circuit can increase the result accuracy considerably.
Recent Progress in Technologies for Tactile Sensors
Authors: Chi Cheng , Sun Xuguang , Xue Ning , Li Tong , Liu Chang
Published: March 2018

Over the last two decades, considerable scientific and technological efforts have been devoted to developing tactile sensing based on a variety of transducing mechanisms, with prospective applications in many fields such as human–machine interaction, intelligent robot tactile control and feedback, and tactile sensorized minimally invasive surgery. This paper starts with an introduction of human tactile systems, followed by a presentation of the basic demands of tactile sensors. State-of-the-art tactile sensors are reviewed in terms of their diverse sensing mechanisms, design consideration, and material selection. Subsequently, typical performances of the sensors, along with their advantages and disadvantages, are compared and analyzed. Two major potential applications of tactile sensing systems are discussed in detail. Lastly, we propose prospective research directions and market trends of tactile sensing systems.
Being Different with Dignity: Buddhist Inclusiveness of Homosexuality
Authors: Cheng Fung Kei
Published: March 2018

Stigmatising homosexual individuals damages their emotional health and quality of life. In particular, those with religious beliefs may additionally suffer from religious discordance due to their sexual preferences. This exploratory research investigates how Buddhists perceive homosexuality and how Buddhist lesbians, gays and bisexuals (LGBs) accept their sexual orientation. It adopts semi-structured Internet-based text and voice interviews with 11 participants, including homosexual Buddhists, Buddhist masters, and heterosexual Buddhists. The findings are analysed using interpretative phenomenological analysis, with the aid of a computerised qualitative data-analysis package. Results reveal a compassionate culture towards this marginalised group, for which Buddhist LGBs cultivate self-acceptance through Buddhist teachings, such as the clarification of nature and manifestation, Buddhist equality, and proper interpretation of precepts. These teachings also encourage inclusiveness.
The Effect of Environmental Conditions on the Physiological Response during a Stand-Up Paddle Surfing Session
Authors: Suari Yair , Schram Ben , Ashkenazi Adva , Gann-Perkal Hadas , Berger Lev , Reznikov Meshi , Shomrat Shmuel , Kodesh Einat
Published: March 2018

Stand Up Paddleboard (SUP) surfing entails riding breaking waves and maneuvering the board on the wave face in a similar manner to traditional surfing. Despite some scientific investigations on SUP, little is known about SUP surfing. The aim of this study was to investigate the physiological response during SUP surfing sessions and to determine how various environmental conditions can influence this response. Heart rate (HR) of an experienced male SUP surfer aged 43 was recorded for 14.9 h during ten surfing sessions and synced with on board video footage to enable the examination of the effect of different surfing modes and weather conditions on exercise intensity. Results indicated that the SUP surfer’s HR was above 70% of HRmax during 85% of each session, with the greatest heart rates found during falls off the board (~85% HRmax) and while paddling back to the peak (~83% HRmax). Total time surfing a wave was less than 5%, with the majority of time spent paddling back into position. Wind speed positively correlated with HR (r = 0.75, p < 0.05) and wave height negatively correlated with wave caching frequency (r = 0.73, p < 0.05). The results highlight the aerobic fitness for SUP surfing, where wave riding, paddling back to the peak, and falls appear to be associated with the greatest cardiovascular demand and demonstrate that environmental conditions can have an effect on the physiological response during SUP surfing sessions.
The Role of Place in Adapting to Climate Change: A Case Study from Ladakh, Western Himalayas
Authors: Barrett Kimiko , Bosak Keith
Published: March 2018

This research explores the nexus of climate change and socio-economic change with a focus on the significance that local conditions (physical and cultural) can have in influencing vulnerability and resilience. In order to better examine how climate change impacts interact with socio-economic changes and are experienced at the community scale, this research integrates household survey data with geospatial processing techniques. Two comparative study sites, one rural and one urban, were selected in the region of Ladakh; an area experiencing severe climate change impacts alongside rapid socioeconomic and political changes. Archival data was used to supplement survey responses and provide additional historical context. Survey responses were then combined with Hot Spot and Kernel density analysis in ArcGIS to identify areas of high and low spatial concentration and correlation. While climate change is widely perceived in many Western Himalayan mountain communities, impacts of climate change as an issue of high importance are moderated by other pressing socioeconomic, cultural, and political concerns. The role of locality and place-based themes such as community attachment, social cohesion, and sense of place, emerged as influential factors in enhancing social resilience and thereby reducing dimensions of local vulnerability to climate change impacts.
Recasting the Understanding of Habits for Behaviour-Oriented Policies in Transportation
Authors: Marechal Kevin
Published: March 2018

The role of habits in influencing transportation behaviour is acknowledged in many studies. However, most of these analyses draw on a narrow perspective of habits. In this paper, we adopt a reversed perspective regarding the interplay between habits and rationality. The insightfulness of this perspective is illustrated with the findings of two empirical studies on urban transportation. This paper shows that the underlying structure (i.e., the “genotype”) behind the phenotypic manifestation of a habit is essential to grasp for getting a better understanding of the role played by habits in explaining car use. The framework of habitual practices is then put forward in discussing the results. Its rationale is to provide a characterisation of the interconnected elements that make and shape the transportation practices, together with important aspects regarding how they are formed and sustained over time. Adequately picturing both constituent elements as well as dynamic aspects is crucial for explaining the strength of habitual practices and thus car dependence. In doing so, the framework of habitual practices could thus well be of help for policy-makers in reflecting on the design of efficient and innovative interventions for the transition towards more sustainable transportation behaviours.
Optimization of Passive Envelop Energy Efficient Measures for Office Buildings in Different Climate Regions of China Based on Modified Sensitivity Analysis
Authors: Wang Zhaoxia , Zhao Jing
Published: March 2018

With the growing desire for new buildings and better indoor comfort, the amount of energy consumption of office buildings in China is increasing rapidly, which will lead to the great challenge for energy supply and sustainable development. Building passive envelop energy efficient measures (PEEEMs), mainly including exterior wall insulation, roof insulation, different glazing types, and shading system, were widely applied. However, the specific energy efficient performance of PEEEMs was various in different climate conditions that have not been evaluated clearly yet. The priority order of PEEEMs was not recommended in relative standards. The economic benefits cannot be considered synchronously with PEEEMs optimization. This paper modified the sensitivity analysis to fit the building energy efficiency evaluation. By combining the modified method with a simulation tool, the energy efficiency and economic effects of PEEEMs of office buildings in various climate regions can be considered at the same time. Four case buildings in Shenyang, Tianjin, Ningbo, and Shenzhen were proved to reach the energy-saving potentials of 9.44%, 7.75%, 20.87%, and 13.27% respectively, with the payback period of no more than 1.5 years. Finally, the recommended application priority rankings and the recommended ranges of thermal performance properties of PEEEMs in the four typical climate regions were presented.
Municipal Sustainability Influence by European Union Investment Programs on the Portuguese Local Government
Authors: Caldas Paulo , Ferreira Diogo Cunha , Dollery Brian , Marques Rui Cunha
Published: March 2018

The assessment of the impact of European Structural and Investment Funds (ESIF) on Portuguese local government and which factors determine it is important given the magnitude of funds involved. As part of this larger question, this paper considers whether the holistic sustainability of local authorities—as measured by a Council Sustainability Index—can influence the impact of ESIF on the performance of Portuguese councils and which factors best explain these performance differences. Using a geometric distance function jointly with the Hicks-Moorsteen index, we investigate and present a conclusion on the differential impact of ESIF on sustainable and non-sustainable Portuguese councils over the period 2000 to 2014. Our findings also suggest that ESIF should continue fostering economic and social development at the local level regardless of council size or regional location since overall development will flow from this economic and social structural adjustment strategy.
Resilience of Agricultural Value Chains in Developing Country Contexts: A Framework and Assessment Approach
Authors: Vroegindewey Ryan , Hodbod Jennifer
Published: March 2018

Although agricultural value chain resilience is a crucial component to food security and sustainable food systems in developing countries, it has received little attention. This paper synthesizes knowledge from the social-ecological systems (SES), supply chain management, and value chain development literature to make three contributions to this research gap. First, we conceptualize agricultural value chain resilience and relate it to overall food system resilience. Second, we identify seven principles that are hypothesized to contribute to SES resilience, relate them to supply chain management theory, and discuss their application in agricultural value chains. A key insight is that the appropriateness of these principles are important to assess on a case-by-case basis, and depend in part on trade-offs between resilience and other dimensions of value chain performance. Third, we integrate two common tools, the Resilience Alliance’s assessment framework and value chain analysis techniques, to outline an adaptable participatory approach for assessing the resilience of agricultural value chains in developing countries. The objectives of the approach are to cultivate a chain-wide awareness for past and potential disturbances that could affect food security and other essential services provided by the value chain, and to identify upgrades that can build resilience against these key disturbances.
Developing Boundary-Spanning Capacity for Regional Sustainability Transitions—A Comparative Case Study of the Universities of Augsburg (Germany) and Linz (Austria)
Authors: Pflitsch Gesa , Radinger-Peer Verena
Published: March 2018

The potential of universities to become ‘change agents’ for sustainability has increasingly been highlighted in the literature. Some largely open questions are how universities get involved in regional sustainability transitions and how that affects their role in these processes. This paper argues that universities need to develop a boundary-spanning capacity, which enables them to transcend disciplinary as well as sectoral boundaries in order to adopt a developmental role in regional sustainability transitions. It is investigated how universities develop this capacity within a particular regional context, using the method of a transition topology. Comparing how the relationships of universities with their surrounding regions developed in Augsburg (Germany) and Linz (Austria), the paper shows why these processes are place-specific. A university’s boundary-spanning capacity develops over time and differs according to the actors involved. The primarily bottom-up driven process in Augsburg was thematically quite broad and involved diverse actors. In Linz, the top-down initiated process was fragmented and more narrowly focused. Individual value-driven actors that made use of their personal networks played an important role in both regions.
Energy-Saving Potential and an Economic Feasibility Analysis for an Arctic Route between Shanghai and Rotterdam: Case Study from China’s Largest Container Sea Freight Operator
Authors: Wan Zheng , Ge Jiawei , Chen Jihong
Published: March 2018

Global warming has significantly reduced summer ice coverage in the Arctic region, providing long-awaited opportunities for the shipping industry to open new routes through a region known for its harsh navigational conditions. If a shortcut between Asia and Europe via the Northern Sea Route (NSR) is adopted, significant energy saving and pollution reduction are possible compared with conventional southern routes. However, opinions in literature differ regarding this shortcut’s economic viability. We present an analysis from the perspective of COSCO, China’s largest container sea freight operator. We perform a cost–benefit analysis under several scenarios considering the following current realities: (1) declining oil prices not seen for decades, even lower than the lowest prices assumed in previous studies; (2) declining Russian NSR tariff as an effort to attract shipping traffic; (3) possible emission control areas along a northern route may require much cleaner energy and thus impact costs not studied in previous models; and (4) the capital cost difference between a hired and a self-owned vessel. Classical case studies of shipping routes between Shanghai and Rotterdam are adopted for comparison. We explain how different factors impact the shipping costs and to what extent can the NSR be economically viable. Occasional usage of NSR (e.g., one time transit) is unlikely to be more profitable given the higher unit transportation cost, but the route could be economically competitive in terms of the total profits earned for continuous usage. A more aggressive scenario which requires ships on the NSR to switch to much cleaner fuel would erode this route’s competitiveness, but extra environmental benefits should be taken into consideration if future carbon emission trading schemes include the shipping industry.
Effect of Post-Harvest Traditional Technologies on the Nutrient Content and Antioxidant Compounds of Defatted Flours from Ricinodendron heudelotti (Baill. Pierre ex Pax) Seed Kernels
Authors: Coulibaly Mamadou , Kouamé Camille , N’dri Denis , Kouassi Nestor , Pereko Kingsley , Amani Georges
Published: March 2018

Akpi (Ricinodendron heudelotii) is a semi-deciduous plant species indigenous to the coastal nations of West Africa. Its kernels are rich in nutrients and bioactive compounds. In this article, we performed a nutritional characterization and a phytochemical composition of defatted kernel flours from Ricinodendron heudelotti that were grown in six different regions of Cote d’Ivoire. Classical analytic methods were used to determine the chemical composition. There were significant differences between the samples for all the parameters studied; in addition, both the locality of production and the Ricinodendron heudelotii seed kernels extraction systems showed a noteworthy influence on the mineral and element composition of the defatted flours. The samples were also rich in protein (47.0–61.3%) and energy (330.4‒339.2 kcal/100 g). Magnesium (12.0–40.0%) was found to be the predominant mineral. Polyphenols (216.6–403.9 mg/100 g) and oxalates (714.7–972.9 mg/100 g) were the main phytochemical compounds identified. The consumption of defatted kernel flours from Ricinodendron heudelotti may contribute relatively high intake levels of protein, carbohydrate, and mineral macro- and micronutrient (K, Mg, Ca, Mn, and Fe). By performing principal coordinate analysis, the multidimensional scaling plot classified the defatted flours according to the kernel extraction into four main extraction systems: Bondoukou-Lakota-Vavoua diagram, Agboville1 diagram, Divo diagram, and Agboville2 diagram.
Conflict in the Intracellular Lives of Endosymbionts and Viruses: A Mechanistic Look at Wolbachia-Mediated Pathogen-blocking
Authors: Lindsey Amelia , Bhattacharya Tamanash , Newton Irene , Hardy Richard
Published: March 2018

At the forefront of vector control efforts are strategies that leverage host-microbe associations to reduce vectorial capacity. The most promising of these efforts employs Wolbachia, a maternally transmitted endosymbiotic bacterium naturally found in 40% of insects. Wolbachia can spread through a population of insects while simultaneously inhibiting the replication of viruses within its host. Despite successes in using Wolbachia-transfected mosquitoes to limit dengue, Zika, and chikungunya transmission, the mechanisms behind pathogen-blocking have not been fully characterized. Firstly, we discuss how Wolbachia and viruses both require specific host-derived structures, compounds, and processes to initiate and maintain infection. There is significant overlap in these requirements, and infection with either microbe often manifests as cellular stress, which may be a key component of Wolbachia’s anti-viral effect. Secondly, we discuss the current understanding of pathogen-blocking through this lens of cellular stress and develop a comprehensive view of how the lives of Wolbachia and viruses are fundamentally in conflict with each other. A thorough understanding of the genetic and cellular determinants of pathogen-blocking will significantly enhance the ability of vector control programs to deploy and maintain effective Wolbachia-mediated control measures.
Rapid Viral Diagnosis of Orthopoxviruses by Electron Microscopy: Optional or a Must?
Authors: Gelderblom Hans , Madeley Dick
Published: March 2018

Diagnostic electron microscopy (DEM) was an essential component of viral diagnosis until the development of highly sensitive nucleic acid amplification techniques (NAT). The simple negative staining technique of DEM was applied widely to smallpox diagnosis until the world-wide eradication of the human-specific pathogen in 1980. Since then, the threat of smallpox re-emerging through laboratory escape, molecular manipulation, synthetic biology or bioterrorism has not totally disappeared and would be a major problem in an unvaccinated population. Other animal poxviruses may also emerge as human pathogens. With its rapid results (only a few minutes after arrival of the specimen), no requirement for specific reagents and its “open view”, DEM remains an important component of virus diagnosis, particularly because it can easily and reliably distinguish smallpox virus or any other member of the orthopoxvirus (OPV) genus from parapoxviruses (PPV) and the far more common and less serious herpesviruses (herpes simplex and varicella zoster). Preparation, enrichment, examination, internal standards and suitable organisations are discussed to make clear its continuing value as a diagnostic technique.
Novel Parvoviruses from Wild and Domestic Animals in Brazil Provide New Insights into Parvovirus Distribution and Diversity
Authors: De Souza William , Dennis Tristan , Fumagalli Marcílio , Araujo Jansen , Sabino-Santos Gilberto , Maia Felipe , Acrani Gustavo , Carrasco Adriano , Romeiro Marilia , Modha Sejal , Vieira Luiz , Ometto Tatiana , Queiroz Luzia , Durigon Edison , Nunes Márcio , Figueiredo Luiz , Gifford Robert
Published: March 2018

Parvoviruses (family Parvoviridae) are small, single-stranded DNA viruses. Many parvoviral pathogens of medical, veterinary and ecological importance have been identified. In this study, we used high-throughput sequencing (HTS) to investigate the diversity of parvoviruses infecting wild and domestic animals in Brazil. We identified 21 parvovirus sequences (including twelve nearly complete genomes and nine partial genomes) in samples derived from rodents, bats, opossums, birds and cattle in Pernambuco, São Paulo, Paraná and Rio Grande do Sul states. These sequences were investigated using phylogenetic and distance-based approaches and were thereby classified into eight parvovirus species (six of which have not been described previously), representing six distinct genera in the subfamily Parvovirinae. Our findings extend the known biogeographic range of previously characterized parvovirus species and the known host range of three parvovirus genera (Dependovirus, Aveparvovirus and Tetraparvovirus). Moreover, our investigation provides a window into the ecological dynamics of parvovirus infections in vertebrates, revealing that many parvovirus genera contain well-defined sub-lineages that circulate widely throughout the world within particular taxonomic groups of hosts.
Synoptic and Climate Attributions of the December 2015 Extreme Flooding in Missouri, USA
Authors: Fosu Boniface , Wang Simon , Pegion Kathleen
Published: March 2018

Three days of extreme rainfall in late December 2015 in the middle of the Mississippi River led to severe flooding in Missouri. The meteorological context of this event was analyzed through synoptic diagnosis into the atmospheric circulation that contributed to the precipitation event’s severity. The midlatitude synoptic waves that induced the extreme precipitation and ensuing flooding were traced to the Madden Julian Oscillation (MJO), which amplified the trans-Pacific Rossby wave train likely associated with the strong El Niño of December 2015. Though the near-historical El Niño contributed to a quasi-stationary trough over the western U.S. that induced the high precipitation event, an interference between the MJO and El Niño teleconnections resulted in a relatively weak atmospheric signature of the El Niño in comparison to that of the MJO. The influence of anthropogenic climate change on the relationship between ENSO and precipitation across several central U.S. states was also investigated using 17 CMIP5 models from the historical single-forcing experiments. A regime change in ENSO-related precipitation anomalies appears to have occurred, from being negatively correlated before 1950 to positive and significantly correlated after 1970, suggesting a likely effect of anthropogenic warming on the December 2015 extreme precipitation event.
Removal of Chloramphenicol from Aqueous Solution Using Low-Cost Activated Carbon Prepared from Typha orientalis
Authors: Li Yiran , Zhang Jian , Liu Hai
Published: March 2018

Low-cost and efficient activated carbon (AC) was prepared from Typha orientalis via phosphoric acid activation for chloramphenicol (CAP) removal. The adsorption capacity and mechanisms of CAP on AC were investigated. The physicochemical properties of AC were characterized by an N2 adsorption/desorption isotherm, elemental analysis, Boehm’s titration and X-ray photoelectron spectroscopy (XPS). The effects of experimental parameters were investigated to study the adsorption behaviors of CAP on AC, including contact time, initial concentration, ionic strength, and initial pH. AC had a micro-mesoporous structure with a relatively large surface area (794.8 m2/g). The respective contents of acidic and basic functional groups on AC were 2.078 and 0.995 mmol/g. The adsorption kinetic that was well described by a pseudo-second-order rate model implied a chemical controlling step. The adsorption isotherm was well fitted with the Freundlich isotherm model, and the maximum CAP adsorption capacity was 0.424 mmol/g. The ionic strength and pH had minimal effects on CAP adsorption. The dominant CAP adsorption mechanisms on AC were evaluated and attributed to π-π electron-donor-acceptor (EDA) interaction, hydrophobic interaction, in conjunction with hydrogen-bonding interaction. Additionally, AC exhibited an efficient adsorption performance of CAP in a realistic water environment.
Flow Velocity Effects on Fe(III) Clogging during Managed Aquifer Recharge Using Urban Storm Water
Authors: Du Xinqiang , Zhang Hexuan , Ye Xueyan , Lu Ying
Published: March 2018

Storm water harvesting and storage has been employed for nearly a hundred years, and using storm water to recharge aquifers is one of the most important ways to relieve water scarcity in arid and semi-arid regions. However, it cannot be widely adopted because of clogging problems. The risk of chemical clogging is mostly associated with iron oxyhydroxide precipitation; anhydrous ferric oxide (HFO) clogging remains a problem in many wellfields. This paper investigates Fe(III) clogging levels at three flow velocities (Darcy velocities, 0.46, 1.62 and 4.55 m/d). The results indicate that clogging increases with flow velocity, and is mostly affected by the first 0–3 cm of the column. The highest water velocity caused full clogging in 35 h, whereas the lowest took 53 h to reach an stable 60% reduction in hydraulic conductivity. For the high flow velocity, over 90% of the HFO was deposited in the 0–1 cm section. In contrast, the lowest flow velocity deposited only 75% in this section. Fe(III) deposition was used as an approximation for Fe(OH)3. High flow velocity may promote Fe(OH)3 flocculent precipitate, thus increasing Fe(III) deposition. The main mechanism for a porous matrix interception of Fe(III) colloidal particles was surface filtration. Thus, the effects of deposition, clogging phenomena, and physicochemical mechanisms, are more significant at higher velocities.