bluuebunny/crossref_metadata_2025 huggingface dataset:
Nutritional Status as a Mediator of Fatigue and Its Underlying Mechanisms in Older People
Authors: Azzolino Domenico , Arosio Beatrice , Marzetti Emanuele , Calvani Riccardo , Cesari Matteo
Published: February 2020

Fatigue is an often-neglected symptom but frequently complained of by older people, leading to the inability to continue functioning at a normal level of activity. Fatigue is frequently associated with disease conditions and impacts health status and quality of life. Yet, fatigue cannot generally be completely explained as a consequence of a single disease or pathogenetic mechanism. Indeed, fatigue mirrors the exhaustion of the physiological reserves of an older individual. Despite its clinical relevance, fatigue is typically underestimated by healthcare professionals, mainly because reduced stamina is considered to be an unavoidable corollary of aging. The incomplete knowledge of pathophysiological mechanisms of fatigue and the lack of a gold standard tool for its assessment contribute to the poor appreciation of fatigue in clinical practice. Inadequate nutrition is invoked as one of the mechanisms underlying fatigue. Modifications in food intake and body composition changes seem to influence the perception of fatigue, probably through the mechanisms of inflammation and/or mitochondrial dysfunction. Here, we present an overview on the mechanisms that may mediate fatigue levels in old age, with a special focus on nutrition.
New Canonical and Grand Canonical Density of States Techniques for Finite Density Lattice QCD
Authors: Gattringer Christof , Mandl Michael , Törek Pascal
Published: February 2020

We discuss two new density of states approaches for finite density lattice QCD (Quantum Chromo Dynamics). The paper extends a recent presentation of the new techniques based on Wilson fermions, while here, we now discuss and test the case of finite density QCD with staggered fermions. The first of our two approaches is based on the canonical formulation where observables at a fixed net quark number N are obtained as Fourier moments of the vacuum expectation values at imaginary chemical potential θ . We treat the latter as densities that can be computed with the recently developed functional fit approach. The second method is based on a direct grand canonical evaluation after rewriting the QCD partition sum in terms of a suitable pseudo-fermion representation. In this form, the imaginary part of the pseudo-fermion action can be identified and the corresponding density may again be computed with the functional fit approach. We develop the details of the two approaches and discuss some exploratory first tests for the case of free fermions where reference results for assessing the new techniques may be obtained from Fourier transformation.
Chlamydia pneumoniae Influence on Cytokine Production in Steroid-Resistant and Steroid-Sensitive Asthmatics
Authors: Paróczai Dóra , Mosolygó Tímea , Kókai Dávid , Endrész Valéria , Virok Dezső P. , Somfay Attila , Burián Katalin
Published: February 2020

Medications for asthma management consisting of inhaled corticosteroids act by controlling symptoms. However, some patients do not respond to steroid treatment due to immunological factors at the cytokine level. Chlamydia pneumoniae (C. pneumoniae) infection is strongly implicated in asthma pathogenesis, causing altered immune responses. We investigated the association of C. pneumoniae serostatus with the production of certain cytokines by peripheral blood mononuclear cells (PBMCs) of steroid-resistant and -sensitive asthmatic patients. Our most important findings are the following: In the case of C. pneumoniae seropositive patients we detected pronounced spontaneous interleukin (IL)-10 secretion and, in the case of steroid-resistant patients, IL-10 secretion was at a significantly higher level as compared with in-sensitive patients (p < 0.01). Furthermore, steroid-resistant seropositive patients produced a significantly higher level of IL-10 spontaneously and under antigen stimulation as compared with steroid-resistant seronegative individuals (p < 0.05). Concerning spontaneous TNF-α secretion by C. pneumoniae seropositive asthmatics, we observed that steroid-resistant patients produced significantly more of this cytokine than steroid-sensitive patients. In the steroid-resistant patients’ sera, a remarkably high MMP-9 concentration was associated with C. pneumoniae seronegativity. Our study revealed that the differences in the cytokine production in steroid-sensitive and -resistant asthmatic patients can be influenced by their C. pneumoniae serostatus.
The Impact of Age and Sex on Mouse Models of Melioidosis
Authors: Klimko Christopher P. , Treviño Sylvia R. , Moreau Alicia M. , Aponte Cuadrado Michael J. , Meyer Joshua R. , Fetterer David P. , Welkos Susan L. , Worsham Patricia L. , Kreiselmeier Norman , Soffler Carl , Cote Christopher K.
Published: February 2020

Mouse models have been used to generate critical data for many infectious diseases. In the case of Burkholderia pseudomallei, mouse models have been invaluable for bacterial pathogenesis studies as well as for testing novel medical countermeasures including both vaccines and therapeutics. Mouse models of melioidosis have also provided a possible way forward to better understand the chronicity associated with this infection, as it appears that BALB/c mice develop an acute infection with B. pseudomallei, whereas the C57BL/6 model is potentially more suggestive of a chronic infection. Several unanswered questions, however, persist around this model. In particular, little attention has been paid to the effect of age or sex on the disease outcome in these animal models. In this report, we determined the LD50 of the B. pseudomallei K96243 strain in both female and male BALB/c and C57BL/6 mice in three distinct age groups. Our data demonstrated a modest increase in susceptibility associated with sex in this model, and we documented important histopathological differences associated with the reproductive systems of each sex. There was a statistically significant inverse correlation between age and susceptibility. The older mice, in most cases, were more susceptible to the infection. Additionally, our retrospective analyses suggested that the impact of animal supplier on disease outcome in mice may be minimal. These observations were consistent regardless of whether the mice were injected with bacteria intraperitoneally or if they were exposed to aerosolized bacteria. All of these factors should be considered when designing experiments using mouse models of melioidosis.
The Interaction between Leaf Allelopathy and Symbiosis with Rhizobium of Ulex europaeus on Hawaii Island
Authors: Hozawa Mika , Nawata Eiji
Published: February 2020

The objective of this study was to assess the magnitudes of the leaf allelopathy of Ulex europaeus in two different habitats, and discuss the driver of the differences, including rhizobia. The magnitudes of leaf allelopathy of the samples collected in two different habitats were assessed by comparing the hypocotyl and radicle lengths of the lettuce seeds tested on the samples. One habitat was in and adjacent to an Acasia koa forest, while the other was more than 50 m away. A. koa is indigenous to Hawaii and known to have a close symbiotic relationship with Bradyrhizobium for nitrogen-fixing. Within the past three years, U. europaeus has newly invaded both sampling sites, whereas the A. koa forest has been there for several decades. The combined result of both hypocotyl and radicle lengths of the lettuce seeds tested on both sites by linear model and multicomparison analyses showed no significant difference. But the radicle lengths of the lettuce seeds tested on U. europaeus sampled in and adjacent to the A. koa forest were significantly longer than those of the samples more than 50 m away, as measured by t-test (p = 0.05). This result suggested that the magnitude of the leaf allelopathy of U. europaeus depended on the distance of the habitat from the A. koa forest.
Vertical Strata and Stem Carbon Dioxide Efflux in Cycas Trees
Authors: Marler Thomas E. , Krishnapillai Murukesan V.
Published: February 2020

Stem respiration is influenced by the vertical location of tree stems, but the influence of vertical location on stem respiration in a representative cycad species has not been determined. We quantified the influence of vertical strata on stem carbon dioxide efflux (Es) for six arborescent Cycas L. species to characterize this component of stem respiration and ecosystem carbon cycling. The influence of strata on Es was remarkably consistent among the species, with a stable baseline flux characterizing the full mid-strata of the pachycaulous stems and an increase in Es at the lowest and highest strata. The mid-strata flux ranged from 1.8 μmol·m−2·s−1 for Cycas micronesica K.D. Hill to 3.5 μmol·m−2·s−1 for Cycas revoluta Thunb. For all species, Es increased about 30% at the lowest stratum and about 80% at the highest stratum. A significant quadratic model adequately described the Es patterns for all six species. The increase of Es at the lowest stratum was consistent with the influence of root-respired carbon dioxide entering the stem via sap flow, then contributing to Es via radial conductance to the stem surface. The substantial increase in Es at the highest stratum is likely a result of the growth and maintenance respiration of the massive cycad primary thickening meristem that constructs the unique pachycaulous cycad stem.
In Silico Identification of QTL-Based Polymorphic Genes as Salt-Responsive Potential Candidates through Mapping with Two Reference Genomes in Rice
Authors: Abhayawickrama Buddini , Gimhani Dikkumburage , Kottearachchi Nisha , Herath Venura , Liyanage Dileepa , Senadheera Prasad
Published: February 2020

Recent advances in next generation sequencing have created opportunities to directly identify genetic loci and candidate genes for abiotic stress responses in plants. With the objective of identifying candidate genes within the previously identified QTL-hotspots, the whole genomes of two divergent cultivars for salt responses, namely At 354 and Bg 352, were re-sequenced using Illumina Hiseq 2500 100PE platform and mapped to Nipponbare and R498 genomes. The sequencing results revealed approximately 2.4 million SNPs and 0.2 million InDels with reference to Nipponbare while 1.3 million and 0.07 million with reference to R498 in two parents. In total, 32,914 genes were reported across all rice chromosomes of this study. Gene mining within QTL hotspots revealed 1236 genes, out of which 106 genes were related to abiotic stress. In addition, 27 abiotic stress-related genes were identified in non-QTL regions. Altogether, 32 genes were identified as potential genes containing polymorphic non-synonymous SNPs or InDels between two parents. Out of 10 genes detected with InDels, tolerant haplotypes of Os01g0581400, Os10g0107000, Os11g0655900, Os12g0622500, and Os12g0624200 were found in the known salinity tolerant donor varieties. Our findings on different haplotypes would be useful in developing resilient rice varieties for abiotic stress by haplotype-based breeding studies.
Fluorinated vs. Zwitterionic-Polymer Grafted Surfaces for Adhesion Prevention of the Fungal Pathogen Candida albicans
Authors: Masotti Elena , Poma Noemi , Guazzelli Elisa , Fiaschi Ilenia , Glisenti Antonella , Vivaldi Federico , Bonini Andrea , Di Francesco Fabio , Tavanti Arianna , Galli Giancarlo , Martinelli Elisa
Published: February 2020

Fluorinated (F6) and zwitterionic, as well as phosphorylcholine (MPC) and sulfobetaine (MSA), copolymers containing a low amount (1 and 5 mol%) of 3-(trimethoxysilyl)propyl methacrylate (PTMSi) were prepared and covalently grafted to glass slides by using the trimethoxysilyl groups as anchorage points. Glass-surface functionalization and polymer-film stability upon immersion in water were proven by contact angle and angle-resolved X-ray photoelectron spectroscopy (AR-XPS) measurements. Antifouling performance of the grafted films was assayed against the yeast Candida albicans, the most common Candida species, which causes over 80% of candidiasis. Results revealed that the F6 fluorinated, hydrophobic copolymers performed much better in reducing the adhesion of C. albicans, with respect to both corresponding zwitterionic, hydrophilic MPC and MSA counterparts, and were similar to the glass negative control, which is well-known to inhibit the adhesion of C. albicans. A composition-dependent activity was also found, with the films of copolymer with 99 mol% F6 fluorinated co-units performing best.
Reduced Coefficients of Linear Thermal Expansion of Colorless and Transparent Semi-Alicyclic Polyimide Films via Incorporation of Rigid-Rod Amide Moiety: Preparation and Properties
Authors: Jiang Gang-lan , Wang Dong-yang , Du Hao-peng , Wu Xiao , Zhang Yan , Tan Yao-yao , Wu Lin , Liu Jin-gang , Zhang Xiu-min
Published: February 2020

Semi-alicyclic colorless and transparent polyimide (CPI) films usually suffer from the high linear coefficients of thermal expansion (CTEs) due to the intrinsic thermo-sensitive alicyclic segments in the polymers. A series of semi-alicyclic CPI films containing rigid-rod amide moieties were successfully prepared in the current work in order to reduce the CTEs of the CPI films while maintaining their original optical transparency and solution-processability. For this purpose, two alicyclic dianhydrides, hydrogenated pyromellitic anhydride (HPMDA, I), and hydrogenated 3,3’,4,4’-biphenyltetracarboxylic dianhydride (HBPDA, II) were polymerized with two amide-bridged aromatic diamines, 2-methyl-4,4’-diaminobenzanilide (MeDABA, a) and 2-chloro-4,4’-diaminobenzanilide (ClDABA, b) respectively to afford four CPI resins. The derived CPI resins were all soluble in polar aprotic solvents, including N-methyl-2-pyrrolidone (NMP) and N,N-dimethylacetamide (DMAc). Flexible and tough CPI films were successfully prepared by casing the PI solutions onto glass substrates followed by thermally cured at elevated temperatures from 80 °C to 250 °C. The MeDABA derived PI-Ia (HPMDA-MeDABA) and PI-IIa (HBPDA-MeDABA) exhibited superior optical transparency compared to those derived from ClDABA (PI-Ib and PI-IIb). PI-Ia and PI-IIa showed the optical transmittances of 82.3% and 85.8% at the wavelength of 400 nm with a thickness around 25 μm, respectively. Introduction of rigid-rod amide moiety endowed the HPMDA-PI films good thermal stability at elevated temperatures with the CTE values of 33.4 × 10−6/K for PI-Ia and 27.7 × 10−6/K for PI-Ib in the temperature range of 50–250 °C. Comparatively, the HBPDA-PI films exhibited much higher CTE values. In addition, the HPMDA-PI films exhibited good thermal stability with the 5% weight loss temperatures (T5%) higher than 430 °C and glass transition temperatures (Tg) in the range of 349–351 °C.
Cerium Salts: An Efficient Curing Catalyst for Benzoxazine Based Coatings
Authors: Zhang Tao , Bonnaud Leïla , Raquez Jean-Marie , Poorteman Marc , Olivier Marjorie , Dubois Philippe
Published: February 2020

The effect of three different cerium salts (Ce(NO3)3·6H2O, CeCl3·7H2O and Ce(OOCCH3)3·5H2O) on the ring-opening polymerization (ROP) of a model diamine-based benzoxazine (4EP-pPDA) was investigated. With the incorporation of the cerium salts, the curing temperature of 4EP-pPDA is reduced substantially, and the glass transition temperatures of the resulting networks are increased significantly. The three cerium salts exhibit different catalytic activities, which were analyzed by FT-IR, NMR, and energy-dispersive X-ray (EDX). Ce(NO3)3·6H2O was found to exhibit the best catalytic effect, which seems to be related to its better dispersibility within 4EP-pPDA benzoxazine precursors.
Analytical Tuning Method of MPC Controllers for MIMO First-Order Plus Fractional Dead Time Systems
Authors: He Ning , Jiang Yichun , He Lile
Published: February 2020

An analytical model predictive control (MPC) tuning method for multivariable first-order plus fractional dead time systems is presented in this paper. First, the decoupling condition of the closed-loop system is derived, based on which the considered multivariable MPC tuning problem is simplified to a pole placement problem. Given such a simplification, an analytical tuning method guaranteeing the closed-loop stability as well as pre-specified time-domain performance is developed. Finally, simulation examples are provided to show the effectiveness of the proposed method.
Recent Progress in X-ray and Neutron Phase Imaging with Gratings
Authors: Momose Atsushi , Takano Hidekazu , Wu Yanlin , Hashimoto Koh , Samoto Tetsuo , Hoshino Masato , Seki Yoshichika , Shinohara Takenao
Published: February 2020

Under the JST-ERATO project in progress to develop X-ray and neutron phase-imaging methods together, recent achievements have been selected and reviewed after describing the merit and the principle of the phase imaging method. For X-ray phase imaging, recent developments of four-dimensional phase tomography and phase microscopy at SPring-8, Japan are mainly presented. For neutron phase imaging, an approach in combination with the time-of-flight method developed at J-PARC, Japan is described with the description of new Gd grating fabrication.
Evaluation of Landsat 8 OLI/TIRS Level-2 and Sentinel 2 Level-1C Fusion Techniques Intended for Image Segmentation of Archaeological Landscapes and Proxies
Authors: Agapiou Athos
Published: February 2020

The use of medium resolution, open access, and freely distributed satellite images, such as those of Landsat, is still understudied in the domain of archaeological research, mainly due to restrictions of spatial resolution. This investigation aims to showcase how the synergistic use of Landsat and Sentinel optical sensors can efficiently support archaeological research through object-based image analysis (OBIA), a relatively new scientific trend, as highlighted in the relevant literature, in the domain of remote sensing archaeology. Initially, the fusion of a 30 m spatial resolution Landsat 8 OLI/TIRS Level-2 and a 10 m spatial resolution Sentinel 2 Level-1C optical images, over the archaeological site of “Nea Paphos” in Cyprus, are evaluated in order to improve the spatial resolution of the Landsat image. At this step, various known fusion models are implemented and evaluated, namely Gram–Schmidt, Brovey, principal component analysis (PCA), and hue-saturation-value (HSV) algorithms. In addition, all four 10 m available spectral bands of the Sentinel 2 sensor, namely the blue, green, red, and near-infrared bands (Bands 2 to 4 and Band 8, respectively) were assessed for each of the different fusion models. On the basis of these findings, the next step of the study, focused on the image segmentation process, through the evaluation of different scale factors. The segmentation process is an important step moving from pixel-based to object-based image analysis. The overall results show that the Gram–Schmidt fusion method based on the near-infrared band of the Sentinel 2 (Band 8) at a range of scale factor segmentation to 70 are the optimum parameters for the detection of standing visible monuments, monitoring excavated areas, and detecting buried archaeological remains, without any significant spectral distortion of the original Landsat image. The new 10 m fused Landsat 8 image provides further spatial details of the archaeological site and depicts, through the segmentation process, important details within the landscape under examination.
A Unified Framework for Depth Prediction from a Single Image and Binocular Stereo Matching
Authors: Chen Wei , Luo Xin , Liang Zhengfa , Li Chen , Wu Mingfei , Gao Yuanming , Jia Xiaogang
Published: February 2020

Depth information has long been an important issue in computer vision. The methods for this can be categorized into (1) depth prediction from a single image and (2) binocular stereo matching. However, these two methods are generally regarded as separate tasks, which are accomplished in different network architectures when using deep learning-based methods. This study argues that these two tasks can be achieved using only one network with the same weights. We modify existing networks for stereo matching to perform the two tasks. We first enable the network capable of accepting both a single image and an image pair by duplicating the left image when the right image is absent. Then, we introduce a training procedure that alternatively selects training samples of depth prediction from a single image and binocular stereo matching. In this manner, the trained network can perform both tasks and single-image depth prediction even benefits from stereo matching to achieve better performance. Experimental results on KITTI raw dataset show that our model achieves state-of-the-art performances for accomplishing depth prediction from a single image and binocular stereo matching in the same architecture.
Spatial and Temporal Characteristics of Vegetation NDVI Changes and the Driving Forces in Mongolia during 1982–2015
Authors: Meng Xiaoyu , Gao Xin , Li Shengyu , Lei Jiaqiang
Published: February 2020

As a result of the unique geographical characteristics, pastoral lifestyle, and economic conditions in Mongolia, its fragile natural ecosystems are highly sensitive to climate change and human activities. The normalized difference vegetation index (NDVI) was employed in this study as an indicator of the growth status of vegetation. The Sen’s slope, Mann–Kendall test, and geographical detector modelling methods were used to assess the spatial and temporal changes of the NDVI in response to variations in natural conditions and human activities in Mongolia from 1982 to 2015. The corresponding individual and interactive driving forces, and the optimal range for the maximum NDVI value of vegetation distribution were also quantified. The area in which vegetation was degraded was roughly equal to the area of increase, but different vegetation types behaved differently. The desert steppe and the Gobi Desert both in arid regions have degraded significantly, whereas the meadow steppe and alpine steppe showed a significant upward trend. Precipitation can satisfactorily account for vegetation distribution. Changes of livestock quantity was the dominant factor influencing the changes of most vegetation types. The interactions of topographic factors and climate factors have significant effects on vegetation growth. In the region of annual precipitation between 331 mm and 596 mm, forest vegetation type and pine sandy soil type were found to be most suitable for the growth of vegetation in Mongolia. The findings of this study can help us to understand the appropriate range or type of environmental factors affecting vegetation growth in Mongolia, based on which we can apply appropriate interventions to effectively mitigate the impact of environmental changes on vegetation.
On-Line Visual Tracking with Occlusion Handling
Authors: Rathnayake Tharindu , Khodadadian Gostar Amirali , Hoseinnezhad Reza , Tennakoon Ruwan , Bab-Hadiashar Alireza
Published: February 2020

One of the core challenges in visual multi-target tracking is occlusion. This is especially important in applications such as video surveillance and sports analytics. While offline batch processing algorithms can utilise future measurements to handle occlusion effectively, online algorithms have to rely on current and past measurements only. As such, it is markedly more challenging to handle occlusion in online applications. To address this problem, we propagate information over time in a way that it generates a sense of déjà vu when similar visual and motion features are observed. To achieve this, we extend the Generalized Labeled Multi-Bernoulli (GLMB) filter, originally designed for tracking point-sized targets, to be used in visual multi-target tracking. The proposed algorithm includes a novel false alarm detection/removal and label recovery methods capable of reliably recovering tracks that are even lost for a substantial period of time. We compare the performance of the proposed method with the state-of-the-art methods in challenging datasets using standard visual tracking metrics. Our comparisons show that the proposed method performs favourably compared to the state-of-the-art methods, particularly in terms of ID switches and fragmentation metrics which signifies occlusion.
A Novel Gamma Distributed Random Variable (RV) Generation Method for Clutter Simulation with Non-Integral Shape Parameters
Authors: Chen Shichao , Luo Feng , Hu Chong
Published: February 2020

Sea clutter simulation is a well-known research endeavour in radar detector analysis and design, and many approaches to it have been proposed in recent years, among which zero memory non-linear (ZMNL) and spherically invariant random process (SIRP) are the most two widely used methods for compound Gaussian distribution. However, the shape parameter of the compound Gaussian clutter model cannot be a non-integer nor non-semi-integer in the ZMNL method, and the computational complexity of the SIRP method is very high because of the complex non-linear operation. Although some improved methods have been proposed to solve the problem, the fitting degree of these methods is not high because of the introduction of Beta distribution. To overcome these disadvantages, a novel Gamma distributed random variable (RV) generation method for clutter simulation is proposed in this paper. In our method, Gamma RV with non-integral or non-semi-integral shape parameters is generated directly by multiplying an integral-shape-parameter Gamma RV with a Beta RV whose parameters are larger than 0.5, thus avoiding the deviation of simulation of Beta RV. A large number of simulation experimental results show that the proposed method not only can be used in the clutter simulation with a non-integer or non-semi-integer shape parameter value, but also has higher fitting degree than the existing methods.
Assessment of Position Repeatability Error in an Electromagnetic Tracking System for Surgical Navigation
Authors: Andria Gregorio , Attivissimo Filippo , Di Nisio Attilio , Lanzolla Anna Maria Lucia , Ragolia Mattia Alessandro
Published: February 2020

In this paper we present a study of the repeatability of an innovative electromagnetic tracking system (EMTS) for surgical navigation, developed to overcome the state of the art of current commercial systems, allowing for the placement of the magnetic field generator far from the operating table. Previous studies led to the development of a preliminary EMTS prototype. Several hardware improvements are described, which result in noise reduction in both signal generation and the measurement process, as shown by experimental tests. The analysis of experimental results has highlighted the presence of drift in voltage components, whose effect has been quantified and related to the variation of the sensor position. Repeatability in the sensor position measurement is evaluated by means of the propagation of the voltage repeatability error, and the results are compared with the performance of the Aurora system (which represents the state of the art for EMTS for surgical navigation), showing a repeatability error about ten times lower. Finally, the proposed improvements aim to overcome the limited operating distance between the field generator and electromagnetic (EM) sensors provided by commercial EM tracking systems for surgical applications and seem to provide a not negligible technological advantage.
Revisiting the Right to the City, Rethinking Urban Environmentalism: From Lifeworld Environmentalism to Planetary Environmentalism
Authors: Haderer Margaret
Published: February 2020

In the environmental politics literature, cities are commonly framed as key sites for a shift towards greater sustainability and urban grassroots initiatives, such as food co-ops, urban gardening initiatives, repair cafés, and libraries of things, are commonly portrayed as such a shift’s key drivers. This paper develops a critical perspective on both common portrayals. It does so by drawing on critical urban theory, especially Lefebvre’s Right to the City. First, inspired by Lefebvre’s critique of city-centrism, the paper argues that the scope and limits of urban environmentalism hinge not only on the goals pursued but also on how the urban is framed. Urban environmentalism may mean mere lifeworld environmentalism: the greening of cities as if there were (relatively) bounded sites. Yet urban environmentalism may also mean planetary environmentalism: the mapping, problematization, and transformation of unsustainable urbanization processes that underpin given sites and lifeworlds, but also operate at beyond the latter—at a societal and planetary scale. Second, inspired by Lefebvre’s reformulation of right claims as a transformative political tool, this paper takes issue with environmental practices and discourses that present society’s niches, cracks, and margins as a key fermenting ground for radical environmental change. Since not only institutional but also bottom-up pursuits of more sustainable nature-society relations often remain stuck in mere lifeworld reform, this paper foregrounds heterodox right claims as an underexplored modus operandi in active pursuits of and discourses on radical environmental change. Heterodox right claims mean the active appropriation of dominant political languages, such as the language of right, while seeking to change the latter’s grammar. What this may mean in the realm of environmental politics, will be spelled out at hand of the example of claims to a right to public transport.
How Sustainable Are Land Use Tools? A Europe-Wide Typological Investigation
Authors: Solly Alys , Berisha Erblin , Cotella Giancarlo , Janin Rivolin Umberto
Published: February 2020

Sustainable land use depends on both the socio-economic processes that trigger spatial development and the effectiveness of spatial governance tools that aim to regulate these processes. The ESPON Sustainable Urbanization and land-use Practices in European Regions (SUPER) research project aims to analyze the main land-use dynamics in Europe, looking at and comparing the interventions implemented in the various countries in order to promote sustainability. In particular, a sample of 227 interventions was chosen from a total of 39 European countries. This paper analyzes them on the basis of four different variables: (i) the scale at which the interventions are conceived; (ii) the type of territories subject to them; (iii) the type of interventions; (iv) the type of instruments behind these interventions. On this basis, it develops a number of considerations concerning the effectiveness of the interventions implemented in Europe to promote more sustainable use of land.
A Regional Socio-Economic Life Cycle Assessment of a Bioeconomy Value Chain
Authors: Jarosch Lena , Zeug Walther , Bezama Alberto , Finkbeiner Matthias , Thrän Daniela
Published: February 2020

A bioeconomy tackles sustainable development at both the global and regional levels, as it relies on the optimized use of renewable bio-based resources for the provisioning of food, materials, and energy to meet societal demands. The effects of the bioeconomy can be best observed at a regional level, as it supports regional development and affects the social dimension of sustainability. In order to assess the social impacts of wood-based production chains with regional differentiation, the social life cycle assessment framework “RESPONSA” was established in 2018. We present an initial study, in which this method is applied to an exemplary production chain in a case study of laminated veneer lumber produced in central Germany. The results show a relatively better social performance compared to the reference economic sector, reflecting a relatively low rate of female employees as a major social hotspot. Several social opportunities are identified, in terms of health and safety, equal opportunities, and adequate remuneration, for the organization taking part in the value chain. Finally, considering the UN’s Sustainable Development Goals (SDGs) as a global normative framework, a number of additional indicators for RESPONSA, as well as further developments and recommendations regarding its application in other regions and the upcoming social life cycle assessment (S-LCA) guidelines, are identified.
What Influences Adoption of Green Award Criteria in a Public Contract? An Empirical Analysis of 2018 European Public Procurement Contract Award Notices
Authors: Yu Chunling , Morotomi Toru , Yu Haiping
Published: February 2020

Green public procurement (GPP) is a policy tool aiming to achieve environmental protection and resource reservation via public procurement. After decades of adaptation, what promotes and hinders its uptake in public contracting remains difficult to discern. This research explores factors that influence the adoption of green award criteria, covering features of procurement procedures, purchasers, tenderers, and the business sectors through empirical analysis of Probit regression combined with a fixed term method. The data is contract award notices (CAN) from 33 countries in Europe in 2018. Our findings suggest that framework agreements, the medical products sector, the health and social services sector, and the business services sector are negatively correlated with whether a contract is green. On the other hand, the contract value, Government Procurement Agreement (GPA)coverage, joint procurement, competitive dialogue, negotiation with competition (with a call for competition), restricted procedure, transport equipment sector, and food sector can positively correlate with green contracts, or these factors increase the possibility of a contract being green. Explicit explanations on these relations are provided. This research identifies factors relating with and influencing the application of green award criteria in public contracts, which would inform public sectors on efficient resources allocation in terms of increasing green public procurement performance.
Simultaneous Removal of Residual Sulfate and Heavy Metals from Spent Electrolyte of Lead-Acid Battery after Precipitation and Carbonation
Authors: Gu Shuai , Fu Bitian , Ahn Ji Whan
Published: February 2020

Spent electrolyte from lead-acid battery contains high concentrations of sulfate acid and heavy metals; therefore without proper handling, they might cause severe environmental pollution. A relatively high concentration of sulfate ions (approximately 3000 mg/L) and heavy metals still exists in the effluent even after precipitation with slaked lime and carbonation process, which need to be further processed to lower both the concentrations of sulfate and heavy metals for direct discharge. A process that involves the reduction of sulfate to sulfide with sulfate-reducing bacteria and precipitation of the excessive sulfide with Fe(OH)2 was adopted to dispose of the effluent after precipitation and carbonation for direct discharge. Thermodynamic calculations were adopted to narrow down the optimum experimental range and understand the precipitation mechanism. In the whole process, no new impurities nor ions were introduced and 99.2% of sulfate, 99.9% of sulfide, 99.1% of Ca and more than 94.6% of Pb and 99.8% of Cd were removed and the obtained effluent was safe to discharge.
The Dependence Between Shear Strength Parameters and Microstructure of Subgrade Soil in Seasonal Permafrost Area
Authors: Liu Hanbing , Lyu Xiang , Wang Jing , He Xin , Zhang Yunlong
Published: February 2020

Permafrost and seasonal permafrost are widely distributed in China and all over the world. The failure of soil is mainly shear failure, and the strength of soil mainly refers to the shear strength. The two most important parameters of shear strength are cohesion and angle of internal friction. In order to ensure the sustainability of road construction in seasonal permafrost area, the microstructure of subgrade soil was observed and analyzed. First, three subgrade soils with different plasticity indices were prepared for triaxial test and scanning electron microscope (SEM). Then, these specimens underwent freezing–thawing (FT) cycles and were obtained shear strength parameters by triaxial shear test. Next, the microstructure images of soil were obtained by SEM, and the microstructure parameters of soil were extracted by image processing software. Finally, the correlation method was used to analyze the dependence between the shear strength parameters and the microstructure parameters. Results revealed that subgrade soils with a higher plasticity index had higher cohesion and lower angle of internal friction. In addition, with the increase of the number of FT cycles, the diameter and number of soil particles and pores tend to increase, while the roundness, fractal dimension and directional probabilistic entropy of particles decreased. With the increase of the plasticity index, the particle and pore diameter decreased, but the particle and pore number increased. Besides, particle roundness had the greatest influence on the cohesion and angle of internal friction of shear strength parameters.
The History and Evolution: A Big Data Analysis of the National Innovation Systems in South Korea
Authors: Kim Eun Sun , Bae Kuk Jin , Byun Jeongeun
Published: February 2020

This study is a starting point to analyze South Korean national innovation systems (KNIS) using big data and provide insights for policy makers regarding how they implement the dynamic process of innovation systems. It examines KNIS that has developed over the past 14 years from 2003 to 2016 during the governments of Roh Moo-hyun, Lee Myung-bak, and Park Geun-hye. The aim of this study is to evaluate the KNIS in three ways. The first way is to analyze the NIS of the three governments based on data of 470,000 national research and development (R&D) projects, following which the second way is to compare innovative outcomes of the three governments. The last way is to figure out the characteristics of the KNIS in innovative performance. Our analysis reveals that the KNIS was developed and evolved from 2003 to 2008, maintained until 2012, and gradually declined, even though national R&D investment increased for 14 years. Empirical evidence highlights that policies implemented for more than a decade do not effectively link to economic outcomes, resulting in an imbalance between innovation input and innovation output. This study further argues that the use of NIS concept in South Korea seems to be skewed towards measuring national performance from a narrower perspective.
Entrepreneurship Education through Successful Entrepreneurial Models in Higher Education Institutions
Authors: Boldureanu Gabriela , Ionescu Alina Măriuca , Bercu Ana-Maria , Bedrule-Grigoruță Maria Viorica , Boldureanu Daniel
Published: February 2020

In higher education institutions, entrepreneurship learning based on successful entrepreneurial role models may promote education for sustainable development. Several theoretical perspectives, such as the human capital theory, the entrepreneurial self-efficacy and self-determination theory, argue that entrepreneurship education is positively correlated with entrepreneurial intentions of students, as it provides adequate know-how and skills and motivates them to develop their entrepreneurial careers. In entrepreneurship education programmes, exposure to successful entrepreneurial models could be a significant factor for stimulating students’ confidence in their ability to start a business and for improving their attitudes towards entrepreneurship. This study aims (i) to identify characteristics viewed by students as being specific to a successful entrepreneur, (ii) to establish the influence of exposure to successful entrepreneurial role models (chosen by students) during entrepreneurship education classes on student entrepreneurial intentions, and (iii) to assess how such exposure influences the attitudes of students towards entrepreneurship. For this purpose, the authors ran a pilot experiment with 30 graduate students enrolled in a Business Creation course using a research methodology that combined qualitative techniques with quantitative measures. Content and statistical analyses were utilised to examine differences in student entrepreneurial intentions and attitudes towards entrepreneurship after being exposed to successful entrepreneurial models. Our study provides evidence that entrepreneurship education based on successful entrepreneurial role models may positively influence the entrepreneurial attitudes and intentions of students and could lead to higher orientation of student perception towards social benefits of entrepreneurship (new jobs) compared to financial ones (high income). However, our findings stress that if educators want to improve the efficiency of education focused on developing entrepreneurial skills, graduate programmes should be designed differently for business and non-business students, since studying successful entrepreneurial stories impacts these two groups differently.
Rural Identity, Authenticity, and Sustainability in Italian Inner Areas
Authors: Basile Gianpaolo , Cavallo Aurora
Published: February 2020

This paper focuses on the sustainable development conditions in Italian Inner Areas. Italy’s Inner Areas are rural depopulated areas characterized by their distance from the main service centers of education, health, and mobility, according to the classification proposed by the National Strategy for Inner Areas in 2012. The inner and marginal areas are recently getting the interest of the market place and agricultural economics, as well as the attention of the regional and cohesion policies of national governments and the European Union. These places provide an intriguing perspective for a broader reflection on European peripheral areas and their development trajectories. The aim of this contribution is to interpret the determinants of the relationships between rural identity and perceptive components of authenticity, in order to understand the mechanisms by which they are positively reflected in socio-economic and environmental use, influencing in turn, the level of sustainability of territorial development. We found a specific role of the rural identity in the catalyzed phenomena of interaction between citizens/community and visitors/stakeholders, through the authenticity effect, identifying them as the basis of the spontaneous, bottom-up emersion of a symbolic platform, which characterizes the identification of a place brand and of the creation of the perception/destination of the inner territories’ characteristics. Finally, the paper discusses an Italian Inner Areas project promoted by the common engagement of local institutions and social and economic actors.
Accurate Sizing of Residential Stand-Alone Photovoltaic Systems Considering System Reliability
Authors: Quiles Eduardo , Roldán-Blay Carlos , Escrivá-Escrivá Guillermo , Roldán-Porta Carlos
Published: February 2020

In rural areas or in isolated communities in developing countries it is increasingly common to install micro-renewable sources, such as photovoltaic (PV) systems, by residential consumers without access to the utility distribution network. The reliability of the supply provided by these stand-alone generators is a key issue when designing the PV system. The proper system sizing for a minimum level of reliability avoids unacceptable continuity of supply (undersized system) and unnecessary costs (oversized system). This paper presents a method for the accurate sizing of stand-alone photovoltaic (SAPV) residential generation systems for a pre-established reliability level. The proposed method is based on the application of a sequential random Monte Carlo simulation to the system model. Uncertainties of solar radiation, energy demand, and component failures are simultaneously considered. The results of the case study facilitate the sizing of the main energy elements (solar panels and battery) depending on the required level of reliability, taking into account the uncertainties that affect this type of facility. The analysis carried out demonstrates that deterministic designs of SAPV systems based on average demand and radiation values or the average number of consecutive cloudy days can lead to inadequate levels of continuity of supply.
Conceptualisation of the Three-Dimensional Matrix of Collaborative Knowledge Barriers
Authors: Sanchis Raquel , Sanchis-Gisbert Maria Rosa , Poler Raul
Published: February 2020

Nowadays, collaborative knowledge management (CKM) is well accepted as a decisive asset in the field of networked enterprises and supply chains. However, few knowledge management initiatives have been performed successfully because, in most cases, the barriers that hinder the CKM process are unknown and misunderstood. Currently, the research reveals different uni- and bi-dimensional barriers’ classifications, however multi-dimensional approaches provide a better view of the complexity in the area of CKM. Therefore, this paper proposes the three-dimensional matrix of collaborative knowledge barriers taking into account: (i) perspectives; (ii) levels and (iii) barriers blocks to provide a reference way to audit the CKM barriers, and thus, in further research, focus on the corrections and adjustments to guarantee the success while implementing a CKM project.
Optimum Design of Hybrid Renewable Energy System for Sustainable Energy Supply to a Remote Island
Authors: Ali Sajid , Jang Choon-Man
Published: February 2020

Renewable energy technologies can not only help in mitigating the greenhouse gas (GHG) emissions but it can also be very useful for electricity generation at remote locations, where no other means of power are available. The present study focuses on the techno-economic optimum design of a small hybrid renewable energy system (HRES) consisting of wind-solar as primary energy sources. The HRES was modelled for a remote island (Deokjeok-do Island, South Korea) using real electricity consumption data for one complete year. A daily mean load of 24,720 kWh was entered at Deokjeok-do Island with a peak load of 2291.54 kW. Average annual values of wind speed and daily solar radiations were estimated to be 3.6 m/s (10 m height) and 4.13 kWh/m2, respectively. A total of 8760 simulations were performed to achieve the hourly load demand of the mentioned island. In order to deal with the surplus and electricity deficit, two different types of energy storage systems (ESS) were modelled i.e., battery and pumped hydro storage (PHS). Four different HRESs were also evaluated as the most suitable based on levelized cost of energy (LCOE) and net present cost (NPC). A detailed economic break-down of each component and the impact of different sensitivity variables on decision making have also been discussed in detail.