bluuebunny/crossref_metadata_2025 huggingface dataset:
Influence of the Design Solutions of Extruder Screw Mixing Tip on Selected Properties of Wheat Bran-Polyethylene Biocomposite
Authors: Sasimowski Emil , Majewski Łukasz , Grochowicz Marta
Published: December 2019

The study investigated the impact of the extruder screw design solution—the intensive mixing tip used—on the course of the extrusion process and the properties of the obtained biocomposite extrudate. A lignocellulosic wheat bran biocomposite based on a low-density polyethylene matrix was extruded. Three mixing tips of the screw were used interchangeably: apineapple tip, a cut rings tip, and a Maddock tip. The experimental tests carried out included the production of an extrudate with a mass content of bran altered within the range from 10% to 50%. Processing properties such as the melt flow rate (MFR) and mass flow rate of the extruded biocomposite were determined. Selected physical, mechanical, and structural properties of the biocomposite extrudate obtained with the use of the three tested mixing tips at five bran contents were tested.
A Complexed Initiating System AlCl3·Phenetole/TiCl4·H2O with Dominant Synergistic Effect for Efficient Synthesis of High Molecular Weight Polyisobutylene
Authors: Jin Yulong , Chen Liang , Guo Xing , Xu Linfeng , Zhu Zhihua , Liu Zhen , Cheng Ruihua , Liu Boping
Published: December 2019

A complexed initiating system AlCl3·phenetole/TiCl4·H2O was prepared by simply compounding AlCl3/phenetole and TiCl4/H2O and used for cationic polymerization of isobutylene. It was found AlCl3·phenetole/TiCl4·H2O exhibited activities 1.2–3 times higher than those of AlCl3/phenetole, and more than an order of magnitude higher than those of TiCl4/H2O, which indicated a notable synergistic effect produced in the complexed system. In addition, due to the higher activity of AlCl3·phenetole/TiCl4·H2O, lower coinitiator concentration and polymerization temperature, as well as higher monomer concentration were more favored for this complexed initiating system to produce polyisobutylene (PIB) with reasonable molecular weight (Mw) and molecular weight distribution (MWD). Furthermore, high molecular weight polyisobutylene (HPIB) with Mw = 1–3 × 105 g·mol−1 could be successfully produced by the complexed catalyst system at Tp = −60 to −40 °C. As a whole, the high activity as well as the simple preparation procedures of the complexed initiating system offer us a unique approach for the production of HPIB with improved efficiency.
Investigation of Piezoelectricity and Resistivity of Surface Modified Barium Titanate Nanocomposites
Authors: Sundar Udhay , Lao Zichen , Cook-Chennault Kimberly
Published: December 2019

Polymer-ceramic nanocomposite piezoelectric and dielectric films are of interest because of their possible application to advanced embedded energy storage devices for printed wired electrical boards. The incompatibility of the two constituent materials; hydrophilic ceramic filler, and hydrophobic epoxy limit the filler concentration, and thus, their piezoelectric properties. This work aims to understand the role of surfactant concentration in establishing meaningful interfacial layers between the epoxy and ceramic filler particles by observing particle surface morphology, piezoelectric strain coefficients, and resistivity spectra. A comprehensive study of nanocomposites, comprising non-treated and surface treated barium titanate (BTO), embedded within an epoxy matrix, was performed. The surface treatments were performed with two types of coupling agents: Ethanol and 3-glycidyloxypropyltrimethoxysilan. The observations of particle agglomeration, piezoelectric strain coefficients, and resistivity were compared, where the most ideal properties were found for concentrations of 0.02 and 0.025. This work demonstrates that the interfacial core-shell processing layer concentration influences the macroscopic properties of nanocomposites, and the opportunities for tuning interfacial layers for desirable characteristics of specific applications.
Selected Physicochemical and Pharmaceutical Properties of Poly-ε-caprolactone and Poly(d,l-lactide-co-ε-caprolactone) Conjugates of Lamivudine Synthesized via Ring-Opening Polymerization
Authors: Urbaniak Tomasz , Musiał Witold
Published: December 2019

The modification of drug fate after administration may be achieved by the covalent coupling of active pharmaceutical ingredients with macromolecules. To prolong or delay the release, slowly degrading polymers such as polyesters may be applied for conjugation. The detachment of a covalently conjugated drug from the polymeric matrix relies mostly on the material degradation profile and barely on the weak interaction between the drug and macromolecules. In the present study, lamivudine was conjugated via ring-opening polymerization with poly-ε-caprolactone and poly(d,l-lactide-co-ε-caprolactone). The influence of the reaction parameters on the course of the polymerization and physicochemical properties of obtained conjugates were investigated. Subsequently, selected reaction products were formulated into submicron particles, and drug release profiles in physiological-like conditions were investigated. The course of the reaction was monitored via gel permeation chromatography. The structure and physicochemical properties of products were evaluated via spectroscopic, calorimetric, and diffractometric methods. The profile of the drug release from particles prepared by the slow evaporation of conjugate solution from o/w emulsion was monitored with high-performance liquid chromatography. Both an elevated reaction temperature and higher catalyst concentration increased the polymerization rate and simultaneously promoted the side reactions, resulting in a broad molecular weight distribution of products in the range from 1.30 to 2.15. The physicochemical properties of conjugates obtained in different conditions varied and had a direct influence on the drug release. The release curve of lamivudine from particles based on low molecular weight conjugates achieved a plateau between 18.9 and 22.2 μg per mg of conjugate within a month. Drug detachment from particles composed of high molecular weight conjugates exhibited a distinct delay period preceded by a drug burst release at a maximal level of 13.3 μg per mg of conjugate. Conjugate chemical composition and the degree of crystallinity were also found to influence the release.
A Methodology Towards Mechanical Properties Optimization of Three-Component Polymers by the Gradual Variation of Feed Composition in Semi-Continuous Emulsion-Free Radical Polymerization
Authors: Rivera-Gálvez Francisco J. , González-Ortiz Luis J. , López-Manchado Miguel A. , Hernández-Hernández María E. , Jasso-Gastinel Carlos F.
Published: December 2019

In this work, a new methodology for the synthesis of three-component polymers (TCPs) was developed using a seeded, semi-continuous free-radical emulsion polymerization towards the optimization of the moduli–ultimate deformation performance and energy dissipation capacity for a styrene (S), n-butyl acrylate (BA), and 4-vinylbenzyl chloride (VBC) system. The three components were sequentially fed in pairs, varying feed composition along the conversion using S as the common monomer. To prepare a reference material, an industrial method was utilized with those monomers, using an equivalent global composition in a two-stage batch process (TS). Nanophase formation in the particles was observed by transmission electron microscopy (TEM), while the separation of the phases in the solid samples was observed by atomic force microscopy (AFM). The changes in glass transition temperature were determined by differential scanning calorimetry (DSC) and dynamic mechanical analysis (DMA). The latter was primarily used to compare mechanodynamic properties as a function of temperature for the two synthesis methods used. Thus, the higher toughness of the forced composition three-component polymeric materials was evaluated by means of their energy dissipation capacity, toughness, and stress–strain measurements at several temperatures.
Characterizing a Newly Designed Steel-Wool-Based Household Filter for Safe Drinking Water Provision: Hydraulic Conductivity and Efficiency for Pathogen Removal
Authors: Tepong-Tsindé Raoul , Ndé-Tchoupé Arnaud Igor , Noubactep Chicgoua , Nassi Achille , Ruppert Hans
Published: December 2019

This study characterizes the decrease of the hydraulic conductivity (permeability loss) of a metallic iron-based household water filter (Fe0 filter) for a duration of 12 months. A commercial steel wool (SW) is used as Fe0 source. The Fe0 unit containing 300 g of SW was sandwiched between two conventional biological sand filters (BSFs). The working solution was slightly turbid natural well water polluted with pathogens (total coliform = 1950 UFC mL−1) and contaminated with nitrate ([NO3−] = 24.0 mg L−1). The system was monitored twice per month for pH value, removal of nitrate, coliforms, and turbidity, the iron concentration, as well as the permeability loss. Results revealed a quantitative removal of coliform (>99%), nitrate (>99%) and turbidity (>96%). The whole column effluent depicted drinking water quality. The permeability loss after one year of operation was about 40%, and the filter was still producing 200 L of drinking water per day at a flow velocity of 12.5 L h−1. A progressive increase of the effluent pH value was also recorded from about 5.0 (influent) to 8.4 at the end of the experiment. The effluent iron concentration was constantly lower than 0.2 mg L−1, which is within the drinking-water quality standards. This study presents an affordable design that can be one-to-one translated into the real world to accelerate the achievement of the UN Sustainable Development Goals for safe drinking water.
Improvement of Refrigeration Efficiency by Combining Reinforcement Learning with a Coarse Model
Authors: Zhang Dapeng , Gao Zhiwei
Published: December 2019

It is paramount to improve operational conversion efficiency in air-conditioning refrigeration. It is noticed that control efficiency for model-based methods highly relies on the accuracy of the mechanism model, and data-driven methods would face challenges using the limited collected data to identify the information beyond. In this study, a hybrid novel approach is presented, which is to integrate a data-driven method with a coarse model. Specifically, reinforcement learning is used to exploit/explore the conversion efficiency of the refrigeration, and a coarse model is utilized to evaluate the reward, by which the requirement of the model accuracy is reduced and the model information is better used. The proposed approach is implemented based on a hierarchical control strategy which is divided into a process level and a loop level. The simulation of a test bed shows the proposed approach can achieve better conversion efficiency of refrigeration than the conventional methods.
The Common Ground of Open Access and Interdisciplinarity
Authors: Gamsby Patrick
Published: December 2019

In recent years, Open Access and interdisciplinarity have emerged as two prevalent trends in academia. Although seemingly separate pursuits with separate literature, goals, and advocates, there are significant interconnections between these two movements that have largely gone unnoticed. This paper provides a philosophical inquiry into the unexplored relationship between these two trends and makes the case that there is an intrinsic affinity between Open Access and interdisciplinarity and, as such, concludes that all interdisciplinary research, to remain true to the foundational tenets of interdisciplinarity, ought to be Open Access.
A Case of Geluk Growth: The Career of Scholar and Yogin Shar Kalden Gyatso (1607–1677) and His Role in Propagating the Geluk School in Rebgong, Amdo
Authors: Dorje Rinchen
Published: December 2019

This paper explores the life of Shar Kalden Gyatso with a focus on his contributions to the seventeenth-century development of Geluk influence in the northeastern Tibetan region of Amdo. Not only did he adopt the role of a monastic leader in founding and bolstering scholastic traditions in his home region in Amdo, but he was also an accomplished practitioner. In addition to his role as the founder of scholastic and retreat institutions in Rebgong, his close relationship with local rulers in Amdo and his non-sectarian stance toward other religious traditions fueled his charisma and increased his base of followers. Therefore, the main goal of this paper is to explore all these themes as they illustrate the career of Shar Kalden Gyatso as a central figure in the religious history of Amdo in general and the development of Geluk influence in Rebgong in particular. Meanwhile, I provide an appropriate assessment of the sectarian conversion of Rongwo Monastery, also considering the importance of Shar Kalden Gyatso’s role in institutional foundations, his network of patronage, and his religious ecumenical thought to particularly characterize his outstanding career.
Imbalanced Learning in Land Cover Classification: Improving Minority Classes’ Prediction Accuracy Using the Geometric SMOTE Algorithm
Authors: Douzas Georgios , Bacao Fernando , Fonseca Joao , Khudinyan Manvel
Published: December 2019

The automatic production of land use/land cover maps continues to be a challenging problem, with important impacts on the ability to promote sustainability and good resource management. The ability to build robust automatic classifiers and produce accurate maps can have a significant impact on the way we manage and optimize natural resources. The difficulty in achieving these results comes from many different factors, such as data quality and uncertainty. In this paper, we address the imbalanced learning problem, a common and difficult conundrum in remote sensing that affects the quality of classification results, by proposing Geometric-SMOTE, a novel oversampling method, as a tool for addressing the imbalanced learning problem in remote sensing. Geometric-SMOTE is a sophisticated oversampling algorithm which increases the quality of the instances generated in previous methods, such as the synthetic minority oversampling technique. The performance of Geometric- SMOTE, in the LUCAS (Land Use/Cover Area Frame Survey) dataset, is compared to other oversamplers using a variety of classifiers. The results show that Geometric-SMOTE significantly outperforms all the other oversamplers and improves the robustness of the classifiers. These results indicate that, when using imbalanced datasets, remote sensing researchers should consider the use of these new generation oversamplers to increase the quality of the classification results.
Mapping Grassland Frequency Using Decadal MODIS 250 m Time-Series: Towards a National Inventory of Semi-Natural Grasslands
Authors: Hubert-Moy Laurence , Thibault Jeanne , Fabre Elodie , Rozo Clémence , Arvor Damien , Corpetti Thomas , Rapinel Sébastien
Published: December 2019

Semi-natural grasslands are perennial ecosystems and an important part of agricultural landscapes that are threatened by urbanization and agricultural intensification. However, implementing national grassland conservation policies remains challenging because their inventory, based on short-term observation, rarely discriminate semi-natural permanent from temporary grasslands. This study aims to map grassland frequency at a national scale over a long period using Moderate Resolution Imaging Spectroradiometer (MODIS) 250 m satellite time-series. A three-step method was applied to the entire area of metropolitan France (543,940 km²). First, land-use and land-cover maps—including grasslands—were produced for each year from 2006–2017 using the random forest classification of MOD13Q1 and MYD13Q1 products, which were calibrated and validated using field observations. Second, grassland frequency from 2006–2017 was calculated by combining the 12 annual maps. Third, sub-pixel analysis was performed using a reference layer with 20 m spatial resolution to quantify percentages of land-use and land-cover classes within MODIS pixels classified as grassland. Results indicate that grasslands were accurately modeled from 2006–2017 (F1-score 0.89–0.93). Nonetheless, modeling accuracy varied among biogeographical regions, with F1-score values that were very high for Continental (0.94 ± 0.01) and Atlantic (0.90 ± 0.02) regions, high for Alpine regions (0.86 ± 0.04) but moderate for Mediterranean regions (0.62 ± 0.10). The grassland frequency map for 2006–2017 at 250 m spatial resolution provides an unprecedented view of stable grassland patterns in agricultural areas compared to existing national and European GIS layers. Sub-pixel analysis showed that areas modeled as grasslands corresponded to grassland-dominant areas (60%–94%). This unique long-term and national monitoring of grasslands generates new opportunities for semi-natural grassland inventorying and agro-ecological management.
Evaluation and Intercomparison of SMOS, Aquarius, and SMAP Sea Surface Salinity Products in the Arctic Ocean
Authors: Fournier Séverine , Lee Tong , Tang Wenqing , Steele Michael , Olmedo Estrella
Published: December 2019

Salinity is a critical parameter in the Arctic Ocean, having potential implications for climate and weather. This study presents the first systematic analysis of 6 commonly used sea surface salinity (SSS) products from the National Aeronautics and Space Administration (NASA) Aquarius and Soil Moisture Active Passive (SMAP) satellites and the European Space Agency (ESA) Soil Moisture and Ocean Salinity (SMOS) mission, in terms of their consistency among one another and with in-situ data. Overall, the satellite SSS products provide a similar characterization of the time mean SSS large-scale patterns and are relatively consistent in depicting the regions with strong SSS temporal variability. When averaged over the Arctic Ocean, the SSS show an excellent consistency in describing the seasonal and interannual variations. Comparison of satellite SSS with in-situ salinity measurements along ship transects suggest that satellite SSS captures salinity gradients away from regions with significant sea-ice concentration. The root-mean square differences (RMSD) of satellite SSS with respect to in-situ measurements improves with increasing temperature, reflecting the limitation of L-band radiometric sensitivity to SSS in cold water. However, the satellite SSS biases with respect to the in-situ measurements do not show a consistent dependence on temperature. The results have significant implications for the calibration and validation of satellite SSS as well as for the modeling community and the design of future satellite missions.
Simulating Land Cover Change Impacts on Groundwater Recharge under Selected Climate Projections, Maui, Hawaiʻi
Authors: Brewington Laura , Keener Victoria , Mair Alan
Published: December 2019

This project developed an integrated land cover/hydrological modeling framework using remote sensing and geographic information systems (GIS) data, stakeholder input, climate information and projections, and empirical data to estimate future groundwater recharge on the Island of Maui, Hawaiʻi, USA. End-of-century mean annual groundwater recharge was estimated under four future land cover scenarios: Future 1 (conservation-focused), Future 2 (status-quo), Future 3 (development-focused), and Future 4 (balanced conservation and development), and two downscaled climate projections: a coupled model intercomparison project (CMIP) phase 5 (CMIP5) representative concentration pathway (RCP) 8.5 “dry climate” future and a CMIP3 A1B “wet climate” future. Results were compared to recharge estimated using the 2017 baseline land cover to understand how changing land management and climate could influence groundwater recharge. Estimated recharge increased island-wide under all future land cover and climate combinations and was dominated by specific land cover transitions. For the dry future climate, recharge for land cover Futures 1 to 4 increased by 12%, 0.7%, 0.01%, and 11% relative to 2017 land cover conditions, respectively. Corresponding increases under the wet future climate were 10%, 0.9%, 0.6%, and 9.3%. Conversion from fallow/grassland to diversified agriculture increased irrigation, and therefore recharge. Above the cloud zone (610 m), conversion from grassland to native or alien forest led to increased fog interception, which increased recharge. The greatest changes to recharge occurred in Futures 1 and 4 in areas where irrigation increased, and where forest expanded within the cloud zone. Furthermore, new future urban expansion is currently slated for coastal areas that are already water-stressed and had low recharge projections. This study demonstrated that a spatially-explicit scenario planning process and modeling framework can communicate the possible consequences and tradeoffs of land cover change under a changing climate, and the outputs from this study serve as relevant tools for landscape-level management and interventions.
Human-Induced and Climate-Driven Contributions to Water Storage Variations in the Haihe River Basin, China
Authors: Zhong Yulong , Feng Wei , Humphrey Vincent , Zhong Min
Published: December 2019

Terrestrial water storage (TWS) can be influenced by both climate change and anthropogenic activities. While the Gravity Recovery and Climate Experiment (GRACE) satellites have provided a global view on long-term trends in TWS, our ability to disentangle human impacts from natural climate variability remains limited. Here we present a quantitative method to isolate these two contributions with reconstructed climate-driven TWS anomalies (TWSA) based on long-term precipitation data. Using the Haihe River Basin (HRB) as a case study, we find a higher human-induced water depletion rate (−12.87 ± 1.07 mm/yr) compared to the original negative trend observed by GRACE alone for the period of 2003–2013, accounting for a positive climate-driven TWSA trend (+4.31 ± 0.72 mm/yr). We show that previous approaches (e.g., relying on land surface models) provide lower estimates of the climate-driven trend, and thus likely underestimated the human-induced trend. The isolation method presented in this study will help to interpret observed long-term TWS changes and assess regional anthropogenic impacts on water resources.
Fall Detection Using Multiple Bioradars and Convolutional Neural Networks
Authors: Anishchenko Lesya , Zhuravlev Andrey , Chizh Margarita
Published: December 2019

A lack of effective non-contact methods for automatic fall detection, which may result in the development of health and life-threatening conditions, is a great problem of modern medicine, and in particular, geriatrics. The purpose of the present work was to investigate the advantages of utilizing a multi-bioradar system in the accuracy of remote fall detection. The proposed concept combined usage of wavelet transform and deep learning to detect fall episodes. The continuous wavelet transform was used to get a time-frequency representation of the bio-radar signal and use it as input data for a pre-trained convolutional neural network AlexNet adapted to solve the problem of detecting falls. Processing of the experimental results showed that the designed multi-bioradar system can be used as a simple and view-independent approach implementing a non-contact fall detection method with an accuracy and F1-score of 99%.
Application of Fuzzy Logic for Selection of Actor Nodes in WSANs —Implementation of Two Fuzzy-Based Systems and a Testbed
Authors: Elmazi Donald , Cuka Miralda , Ikeda Makoto , Matsuo Keita , Barolli Leonard
Published: December 2019

The development of sensor networks and the importance of smart devices in the physical world has brought attention to Wireless Sensor and Actor Networks (WSANs). They consist of a large number of static sensors and also a few other smart devices, such as different types of robots. Sensor nodes have responsibility for sensing and sending information towards an actor node any time there is an event that needs immediate intervention such as natural disasters or malicious attacks in the network. The actor node is responsible for processing and taking prompt action accordingly. But in order to select an appropriate actor to do one task, we need to consider different parameters, which make the problem NP-hard. For this reason, we consider Fuzzy Logic and propose two Fuzzy Based Simulation Systems (FBSS). FBSS1 has three input parameters such as Number of Sensors per Actor (NSA), Remaining Energy (RE) and Distance to Event (DE). On the other hand, FBSS2 has one new parameter—Transmission Range (TR)—and for this reason it is more complex. We will explain in detail the differences between these two systems. We also implement a testbed and compare simulation results with experimental results.
Safety Vision of Agricultural Tractors: An Engineering Perspective Based on Recent Studies (2009–2019)
Authors: Fargnoli Mario , Lombardi Mara
Published: December 2019

The high rate of injuries occurring in agricultural activities is of major concern in most countries, despite the ever-increasing efforts made at normative levels. In particular, the use of agricultural tractors is recognized as the most hazardous activity for farmers due to the large number of fatalities occurring every year. The aim of the present study was to investigate the recent developments in research activities dealing with tractor safety. For this purpose, a systematic literature review was carried out, taking into account engineering journal papers appearing in Scopus in the 2009–2019 period and focusing on tractor safety. As a result, 79 documents were selected and analyzed based on both their type (e.g., conceptual or empirical studies) and specific targets. They were then classified and discussed in accordance with a reference framework representing the main issues of agricultural tractor safety: mechanical hazards, protective devices, command and control, other hazards, ergonomics, information, conformity, and user behavior. The results of this analysis brought to light the need for a more human-centered approach when dealing with tractor safety. In addition, the lack of a reliable framework of technical standards was also stressed. Overall, despite the limitations due to the selection criteria, this study represents the first systematic literature review depicting the status of tractor safety in the engineering field, providing a basis for further research on the emerging themes outlined.
Impact of Food Sustainability Labels on the Perceived Product Value and Price Expectations of Urban Consumers
Authors: Kaczorowska Joanna , Rejman Krystyna , Halicka Ewa , Szczebyło Agata , Górska-Warsewicz Hanna
Published: December 2019

Sustainable labelling is an important tool in raising awareness and informing potential buyers regarding environmental, economic and social issues. This study provides insights into consumers’ value of food sustainability labels through the exploration of the impact of logos on their purchasing decisions (willingness to buy (WTB)) and readiness to pay (willingness to pay (WTP)) a higher price for sustainability-labelled products. Data was collected via an online survey among a sample of 423 adult city dwellers in Poland. The structured questionnaire beside sections concerning consumer buying behaviour and perception of the food labels consisted of a behavioural choice experiment (CE), where two categories of plant products: fresh (apples or bananas) and non-perishable (rice or beans) varied by type of labelling (logos: Euro-leaf, PGI, Fair Trade or without logo) and by price. Cluster analysis revealed two consumer groups (named “Sceptical” and “Mindful”) that had varied opinions and perceptions of sustainable labelled food and buying behaviour. The research results indicate that when the logo is poorly-known even consumers with positive attitudes towards sustainability do not use it as a cue when shopping for food. Moreover, urban consumers were very price sensitive and showed a restrained desire to pay a higher price for sustainability labelled products.
A Review of Energy and Environmental Management Practices in Cast Iron Foundries to Increase Sustainability
Authors: Stefana Elena , Cocca Paola , Marciano Filippo , Rossi Diana , Tomasoni Giuseppe
Published: December 2019

Environmental impact and use of energy and materials are relevant topics in companies. To achieve energy savings and enhance environmental performance, managers can invest in technologies (technical measures) and/or implement management practices (low-cost and non-technical measures). This paper focuses on energy and environmental management practices in foundry, which is a particularly energy-intensive industry producing significant carbon dioxide emissions. We conducted a scoping review of scientific publications and technical documents to identify practices that enable energy efficiency improvement and adverse environmental impact reduction in cast iron foundries using coreless induction furnaces. The review returned 399 practices, which we categorised according to the process step of application and theme. We developed a hierarchy to classify the practices according to their sustainability. The results show that the practices proposed in the literature focus mainly on avoiding or reducing resource consumption, rather than on recovering residual value. The intended contribution is to promote the adoption of management practices as an effective lever to increase energy efficiency and reduce environmental impacts, while also providing a summary of current knowledge to facilitate the identification of areas for further research. The review could also support foundry managers in the selection and prioritisation of the practices to adopt.
Policy Coherence and the Transition to a Bioeconomy: The Case of Ireland
Authors: Kelleher Luke , Henchion Maeve , O’Neill Eoin
Published: December 2019

Advancing a bioeconomy requires that policymakers understand how the design and coherence of public policy can contribute, or create barriers, to its development. Ireland’s first National Policy Statement on the Bioeconomy (February 2018) recognized the significance of policy coherence as a critical factor in a successful transition to a bioeconomy. Qualitative document analysis was employed to assess the level of coherence across a range of relevant policy documents. As is the case with most other countries the key sub-sectors related to the bioeconomy in Ireland have independent policy documents for their own developmental process, with obvious potential for conflict. The results of the analysis indicated inconsistency across sectors, highlighting the requirement to update certain strategy documents in order to raise the level of cross-sectoral coherence. This process is essential in both avoiding a ‘silo’ mentality and enabling the concept of the bioeconomy and its associated objectives to become mainstreamed. The methodology employed in this research is easily transferable and should prove useful for other countries in transition to a bioeconomy to assess the strengths and weaknesses of relevant documents and identify where change is required.
Social Innovation to Sustain Rural Communities: Overcoming Institutional Challenges in Serbia
Authors: Živojinović Ivana , Ludvig Alice , Hogl Karl
Published: December 2019

Responding to a number of longstanding challenges such as poverty, wide-ranging inequalities, environmental problems, and migration, requires new and creative responses that are often not provided by traditional governments. Social innovations can offer socio-ecological and economic solutions by introducing new practices that reduce social inequalities, disproportionate resource use and foster sustainable development. Understanding the role of social innovations is especially complicated in unstable institutional environments, e.g. in developing countries and countries in transition. This paper analyses nine social innovations in rural areas in Serbia, based on in-depth interviews and document analysis. This analysis reveals factors that facilitate or constrain social innovations whilst simultaneously identifying related formal and informal institutional voids, for example, poor law enforcement, a lack of adequate infrastructure, lack of trust, as well as norms and values that bolster patriarchal systems. The results that emerged from this research show that social innovations are operating in spite of these challenges and are facilitating improvements in a number of the aforementioned challenging areas. Some innovators engage in social entrepreneurship activities because of subsistence-oriented goals, while others follow idealistic or life-style oriented goals, thus creating new social values. Moving beyond these observations, this paper also identifies means to overcome institutional voids, such as creation of context-specific organisational structures, improved legal frameworks, and innovative financial mechanisms.
Targeting Remediation Dredging by Ecological Risk Assessment of Heavy Metals in Lake Sediment: A Case Study of Shitang Lake, China
Authors: Fan Zhongya , Wang Wencai , Tang Chunyan , Li Yiping , Wang Zhong , Lin Shu , Zeng Fantang
Published: December 2019

Understanding the spatial distribution and pollution characteristics of heavy metals in lake sediment is crucial for studying deposition and migration processes, assessing lake conditions, and determining the extent of remediation dredging. The present work is a case study of heavy metal pollution in Shitang Lake in Anhui province, China. Heavy metal concentrations were determined in sediment at locations across the lake to a depth of 100 cm, and pollution levels were assessed on the basis of the Geoaccumulation Index (Igeo) and Potential Ecological Risk Index (RI). Hg and Cd were the predominant heavy metals in the sediment, and the Igeo and RI indicated high pollution levels in the northern and southern zones of the lake. These findings can be used to guide the prioritization of dredging operations.
Optimal Decisions and Coordination in a Socially Responsible Supply Chain with Irresponsibility Risk
Authors: Wang Qian , Zhong Yongguang , Xu Guangye
Published: December 2019

Many companies make some stakeholders pleased but others cannot. To help understand why, it is very important to study the coexistence of corporate social responsibility (CSR) and corporate social irresponsibility (CSI). This paper considers a manufacturer with irresponsibility risk in a centralized and decentralized socially responsible supply chain, and uses a Stackelberg game to investigate the optimal policies on price and CSR investment level. This paper also examines the influence of consumer responsibility awareness and CSR investment efficiency on the decision behaviors of the manufacturer and retailer. Moreover, we developed a new mechanism to coordinate the decentralized supply chain system, which consists of the retailer participating in CSR and revenue sharing. Our results indicate that the manufacturer’s and retailer’s optimal decisions may not be significantly influenced by consumer responsibility awareness, but the effect of CSR investment efficiency is significant. Our results also show that if the degree of retailer participation and the proportion of revenue sharing are of moderate size, then not only can the contract mechanism coordinate the decentralized socially responsible supply chain, but it can ensure that a win–win situation can be achieved by the supply chain members.
Strategic Imperatives of Managing the Sustainable Innovative Development of the Market of Educational Services in the Higher Education System
Authors: Gryshova Inna , Demchuk Nataliia , Koshkalda Iryna , Stebliuk Nataliia , Volosova Nataliia
Published: December 2019

The conditions of the functioning of state higher education institutions at the present stage of development of the Ukrainian economy require new approaches to solve the problem of the relationship between the volume of training of specialists with higher education and their employment in the sphere of economic activity. The purpose of this article was to provide theoretical substantiation and practical recommendations for the development of a higher education institution development strategy for making managerial innovative decisions on balancing the demand and supply of educational services in a competitive environment. The following methods were used in the study: abstract logical; comparative economic and system structural; statistical; sociological; modeling; the algorithm of practical application of the theory of constraints of systems; and the apparatus of the theory of fuzzy sets. Methodological approaches to the implementation of the optimal allocation of budget places of the university by means of a practical application of system restriction theory and fuzzy set theory were proposed. The result was the allocation of budgetary places, taking into account the demand for specialties in terms of the economic situation of the region, the demand in the labor market, the demand among entrants, and the proposal of the institution of higher education and the Ministry of Education and Science of Ukraine. It will make it possible to reach the optimum balance between demand for specialists in specific specialties and their supply. The practical value of the research results lies in the development and use of methodological provisions for forecasting the demand and supply of educational services of higher education institutions, which are means of prospective reflection, predicting the ways of further development of the higher education system and modeling of various options for its functioning.
Geomorphological Analysis Applied to the Evolution of the Quaternary Landscape of the Tormes River (Salamanca, Spain)
Authors: Goy J.L. , Rodríguez López G. , Martínez-Graña A.M. , Cruz R. , Valdés V.
Published: December 2019

This paper presents a geomorphological analysis of the Tormes River during the Quaternary. The Tormes River formed in the center-west of the Iberian Peninsula in the province of Salamanca. It runs along a Cenozoic basin with basement materials and through Varisco, and consists of mainly granitic and metamorphic materials, leaving a wide stream of river terraces, both erosional and depositional, that confirm its evolution throughout the Quaternary. Geomorphological analyses using Geographic Information Systems tools, Digital terrain model high resolution (MDT05, LIDAR), Orthophotos (scale 1:5000), and geological maps (1:50,000 Series Magna) have allowed different morphologies and depositional terraces to be distinguished, namely, 19 levels of erosional terraces and 3 levels of erosion surfaces. Based on these correlations, the levels of terraces in the Tormes River between T1 (+140 m) and T7 (+75–80 m) are located in the Pleistocene, those between T8 (+58–64 m) and T14 (+18–23 m) in the Middle Pleistocene, those between T15 (+12–13 m) and T17 (+6–7 m) in the Upper Pleistocene, and those between T18 (+3 m) and T19 (+1.5 m) in the Holocene. The erosion surfaces are divided into six levels: S6 (+145 m), S5 (+150 m), S4 (+160 m), S3 (+170 m), S2 (+180 m) and S1 (+190 m) located in the Lower Pleistocene, This work performs a geomorphological mapping procedure applied to the evolutionary analysis of the landscape, so that it determines different geomorphological units allowing the relief and morphology of the terrain in past times, establishing a dynamic analysis of the landscapes.
Preventing Air Pollution Connected to the Explosion of Different Types of Flours in Dedicated Storage and Transportation Systems
Authors: Półka Marzena , Ptak Szymon
Published: December 2019

Air pollution, caused by explosion and/or fire of flammable substances, is typical for the majority of technological processes, e.g., flour storage and transportation systems in the food industry. If explosion venting systems are not properly designed, an explosion might lead to many causalities, substantial losses, and significant release of combustion products into the ambient atmosphere. This article presents a study on four selected types of flours: rice flour, oat flour, cornmeal, and chickpea flour. The chosen ignition and explosion indices were determined (heat of combustion, pmax, (dp/dt)max) and TGAs were conducted. The results were used to calculate the explosion venting area according to EN 14491. Despite similar origins, samples were characterized by slightly different courses of explosion, leading to significant differences in required venting areas. Chickpea dust was found to be the most distinguishing sample with the highest values of pmax, (dp/dt)max, and KSt recorded (7.7 bar, 313.08 bar/s, and 85 mbar/s, respectively). To avoid structure failure resulting in the emission of pollutants into the atmosphere, a change in the stored flour type should be preceded by a revision of safety measures taken, as the required vent area might differ significantly depending on the KSt, L/D ratio, and desired maximum static pressure.
Kim, T. et al. Degenerate Stirling Polynomials of the Second Kind and Some Applications. Symmetry, 2019, 11(8), 1046
Authors: Kim Taekyun , Kim Dae San , Kim Han Young , Kwon Jongkyum
Published: December 2019

The authors wish to make the following corrections to the published paper [...]
Needleless Electrospinning of a Chitosan Lactate Aqueous Solution: Influence of Solution Composition and Spinning Parameters
Authors: Poshina Daria N. , Khadyko Igor A. , Sukhova Arina A. , Serov Ilya V. , Zabivalova Natalia M. , Skorik Yury A.
Published: December 2019

The biological activity of chitosan determines its broad application as a biopolymer for non-woven wound dressings fabricated by electrospinning. The electrospinning process is affected by a large number of different factors that complicate its optimization. In the present work, the electrospinning of chitosan lactate was carried out using a needleless technique from water solutions of different compositions. Surface response methodology was used to evaluate the effects of the concentration of chitosan, polyethylene oxide, and ethanol on solution properties, such as viscosity, surface tension, and conductivity, as well as the process characteristics and fiber quality. The viscosity of the spinning solution is determined by the polymer concentration as well as by the interpolymer interactions. The addition of ethanol to the spinning solutions effectively decreases the solution surface tension and conductivity, while increasing the volatility of the solvent, to provide more intense fiber spinning. Atomic force microscopy revealed that the chitosan lactate fibers were obtained without defects and with a narrow thickness distribution. The spinning parameters, voltage, distance between electrodes, and rotation speed of the spinning electrode had insignificant influences on the fiber diameter during needleless electrospinning.
Staphylococcus aureus Pneumonia: Preceding Influenza Infection Paves the Way for Low-Virulent Strains
Authors: Deinhardt-Emmer Stefanie , Haupt Karoline Frieda , Garcia-Moreno Marina , Geraci Jennifer , Forstner Christina , Pletz Mathias , Ehrhardt Christina , Löffler Bettina
Published: December 2019

Staphylococcus aureus is a facultative pathogenic bacterium that colonizes the nasopharyngeal area of healthy individuals, but can also induce severe infection, such as pneumonia. Pneumonia caused by mono- or superinfected S. aureus leads to high mortality rates. To establish an infection, S. aureus disposes of a wide variety of virulence factors, which can vary between clinical isolates. Our study aimed to characterize pneumonia isolates for their virulent capacity. For this, we analyzed isolates from colonization, pneumonia due to S. aureus, and pneumonia due to S. aureus/influenza virus co-infection. A total of 70 strains were analyzed for their virulence genes and the host–pathogen interaction was analyzed through functional assays in cell culture systems. Strains from pneumonia due to S. aureus mono-infection showed enhanced invasion and cytotoxicity against professional phagocytes than colonizing and co-infecting strains. This corresponded to the high presence of cytotoxic components in pneumonia strains. By contrast, strains obtained from co-infection did not exhibit these virulence characteristics and resembled strains from colonization, although they caused the highest mortality rate in patients. Taken together, our results underline the requirement of invasion and toxins to cause pneumonia due to S. aureus mono-infection, whereas in co-infection even low-virulent strains can severely aggravate pneumonia.
Intraspecific Variability in the Toxin Production and Toxin Profiles of In Vitro Cultures of Gambierdiscus polynesiensis (Dinophyceae) from French Polynesia
Authors: Longo Sébastien , Sibat Manoella , Viallon Jérôme , Darius Hélène , Hess Philipp , Chinain Mireille
Published: December 2019

Ciguatera poisoning (CP) is a foodborne disease caused by the consumption of seafood contaminated with ciguatoxins (CTXs) produced by dinoflagellates in the genera Gambierdiscus and Fukuyoa. The toxin production and toxin profiles were explored in four clones of G. polynesiensis originating from different islands in French Polynesia with contrasted CP risk: RIK7 (Mangareva, Gambier), NHA4 (Nuku Hiva, Marquesas), RAI-1 (Raivavae, Australes), and RG92 (Rangiroa, Tuamotu). Productions of CTXs, maitotoxins (MTXs), and gambierone group analogs were examined at exponential and stationary growth phases using the neuroblastoma cell-based assay and liquid chromatography–tandem mass spectrometry. While none of the strains was found to produce known MTX compounds, all strains showed high overall P-CTX production ranging from 1.1 ± 0.1 to 4.6 ± 0.7 pg cell−1. In total, nine P-CTX analogs were detected, depending on strain and growth phase. The production of gambierone, as well as 44-methylgamberione, was also confirmed in G. polynesiensis. This study highlighted: (i) intraspecific variations in toxin production and profiles between clones from distinct geographic origins and (ii) the noticeable increase in toxin production of both CTXs, in particular CTX4A/B, and gambierone group analogs from the exponential to the stationary phase.
Homburgvirus LP-018 Has a Unique Ability to Infect Phage-Resistant Listeria monocytogenes
Authors: Song Yaxiong , Peters Tracey L. , Bryan Daniel W. , Hudson Lauren K. , Denes Thomas G.
Published: December 2019

Listeria phage LP-018 is the only phage from a diverse collection of 120 phages able to form plaques on a phage-resistant Listeria monocytogenes strain lacking rhamnose in its cell wall teichoic acids. The aim of this study was to characterize phage LP-018 and to identify what types of mutations can confer resistance to LP-018. Whole genome sequencing and transmission electron microscopy revealed LP-018 to be a member of the Homburgvirus genus. One-step-growth curve analysis of LP-018 revealed an eclipse period of ~60–90 min and a burst size of ~2 PFU per infected cell. Despite slow growth and small burst size, LP-018 can inhibit the growth of Listeria monocytogenes at a high multiplicity of infection. Ten distinct LP-018-resistant mutants were isolated from infected Listeria monocytogenes 10403S and characterized by whole genome sequencing. In each mutant, a single mutation was identified in either the LMRG_00278 or LMRG_01613 encoding genes. Interesting, LP-018 was able to bind to a representative phage-resistant mutant with a mutation in each gene, suggesting these mutations confer resistance through a mechanism independent of adsorption inhibition. Despite forming plaques on the rhamnose deficient 10403S mutant, LP-018 showed reduced binding efficiency, and we did not observe inhibition of the strain under the conditions tested. Two mutants of LP-018 were also isolated and characterized, one with a single SNP in a gene encoding a BppU domain protein that likely alters its host range. LP-018 is shown to be a unique Listeria phage that, with additional evaluation, may be useful in biocontrol applications that aim to reduce the emergence of phage resistance.