bluuebunny/crossref_metadata_2025 huggingface dataset:
Signalling Pinpointed to the Tip: The Complex Regulatory Network That Allows Pollen Tube Growth
Authors: Scholz Patricia , Anstatt Jannis , Krawczyk Hannah Elisa , Ischebeck Till
Published: August 2020

Plants display a complex life cycle, alternating between haploid and diploid generations. During fertilisation, the haploid sperm cells are delivered to the female gametophyte by pollen tubes, specialised structures elongating by tip growth, which is based on an equilibrium between cell wall-reinforcing processes and turgor-driven expansion. One important factor of this equilibrium is the rate of pectin secretion mediated and regulated by factors including the exocyst complex and small G proteins. Critically important are also non-proteinaceous molecules comprising protons, calcium ions, reactive oxygen species (ROS), and signalling lipids. Among the latter, phosphatidylinositol 4,5-bisphosphate and the kinases involved in its formation have been assigned important functions. The negatively charged headgroup of this lipid serves as an interaction point at the apical plasma membrane for partners such as the exocyst complex, thereby polarising the cell and its secretion processes. Another important signalling lipid is phosphatidic acid (PA), that can either be formed by the combination of phospholipases C and diacylglycerol kinases or by phospholipases D. It further fine-tunes pollen tube growth, for example by regulating ROS formation. How the individual signalling cues are intertwined or how external guidance cues are integrated to facilitate directional growth remain open questions.
Synthesis and Characterisation of Graphene Oxide-Silica-Chitosan for Eliminating the Pb(II) from Aqueous Solution
Authors: Azizkhani Sepehr , Mahmoudi Ebrahim , Abdullah Norhafizah , Ismail Mohd Halim Shah , Mohammad Abdul Wahab , Hussain Siti Aslina
Published: August 2020

Heavy metal ions have a toxic and negative influences on the environment and human health even at low concentrations and need to be removed from wastewater. Chitosan and graphene oxide are suitable nano plate adsorbents with high adsorption potential because of their π-π interaction, and they are available functional groups that interact with other elements. In this study, graphene oxide was coated with silica to enhance the hydrophilicity of the adsorbent. Subsequently, the adsorbent was functionalised by various amounts of chitosan to improve the Pb(II) removal. The adsorbent was analysed using transmission electron microscopy (TEM), Raman, Fourier-transform infrared spectroscopy (FT-IR), scanning electron microscope (SEM), and mapping analysis techniques. An investigation of the influences of the initial concentration of Pb(II), pH and contact time were included to obtain the optimum amount of adsorption. The range of the initial Pb(II) concentration studied was from 10 to 120 mg/L. The pH factor ranged from 3 to 8 with contact time from 0 to 140 min. Freundlich, Temkin and Langmuir isotherm models were fit to the results, and a pseudo-second-order kinetic model was found to provide a good fit as well. The maximum Pb(II) removal capacity achieved was 256.41 (+/− 4%) mg/g based on Langmuir isotherms.
Synthesis of Antibacterial Gelatin/Sodium Alginate Sponges and Their Antibacterial Activity
Authors: Wen Yanyi , Yu Bing , Zhu Zhongjie , Yang Zhuoran , Shao Wei
Published: August 2020

In the present study, sponges with the antibiotic tetracycline hydrochloride (TCH) loaded into alginate incorporated with gelatin (G/SA) were fabricated. The G/SA sponges were characterized by scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR) and thermogravimetric (TG) analysis. G/SA sponges show a three-dimensional network structure with high porosity. An excellent swelling behavior and a controlled TCH release performance are observed from G/SA sponges. Moreover, they exhibit good antibacterial activity against both Gram-positive and Gram-negative bacteria.
Effect of Post-Cure on the Static and Viscoelastic Properties of a Polyester Resin
Authors: Silva Marco P. , Santos Paulo , Parente João M. , Valvez Sara , Reis Paulo N. B. , Piedade Ana P.
Published: August 2020

This work intends to study the effect of the curing parameters on the mechanical properties of a polyester resin without a complete curing reaction process. For this purpose, cures at room temperature, 40 °C, and 60 °C, and post-cures at 40 °C and 60 °C, with different exposure times, were considered. Three-point bending tests were performed to assess the bending properties and both stress relaxation and creep behavior. The degree of crosslinking was estimated by evaluating the C = C ester bond, by Fourier infrared spectroscopy and complemented with the thermal characterization made by differential scanning calorimetry. The results showed that higher curing temperatures are preferable to methods involving curing and post-curing, which can be confirmed by the higher degree of conversion of unsaturated ester bonds at 60 °C. Compared to the resin cured at room temperature, the bending strength increased by 36.5% at 40 °C and 88.6% at 60 °C. A similar effect was observed for bending stiffness. In terms of stress relaxation and creep strain, the lowest values were obtained for samples cured at 60 °C.
Block Copolymers of Poly(ω-Pentadecalactone) in Segmented Polyurethanes: Novel Biodegradable Shape Memory Polyurethanes
Authors: Czifrák Katalin , Lakatos Csilla , Árpád Kordován Marcell , Nagy Lajos , Daróczi Lajos , Zsuga Miklós , Kéki Sándor
Published: August 2020

In this report, the synthesis of poly(ω-pentadecalactone) (PPDL) (co)polymers and their incorporation into polyurethanes (PUs) are reported. Optimal conditions for the ring-opening polymerization (ROP) of ω-pentadecalactone (PDL) using dibutyltin dilaurate catalyst were established. For the synthesis of linear and crosslinked PUs, 50 kDa poly(ε-caprolactone) (PCL) and 1,6-hexamethylenediisocyanate (HDI) were used. The obtained polyurethanes were characterized by Attenuated Total Reflectance Fourier-Transform Infrared spectroscopy (AT-FTIR), differential scanning calorimetry (DSC), and dynamical mechanical analysis (DMA). The DMA of the selected sample showed a rubbery plateau on the storage modulus versus temperature curve predicting shape memory behavior. Indeed, good shape memory performances were obtained with shape fixity (Rf) and shape recovery (Rr) ratios.
Effects of Gelatin Methacrylate Bio-ink Concentration on Mechano-Physical Properties and Human Dermal Fibroblast Behavior
Authors: Shie Ming-You , Lee Jian-Jr , Ho Chia-Che , Yen Ssu-Yin , Ng Hooi Yee , Chen Yi-Wen
Published: August 2020

Gelatin-methacryloyl (GelMa) is a very versatile biomaterial widely used in various biomedical applications. The addition of methacryloyl makes it possible to have hydrogels with varying mechanical properties due to its photocuring characteristics. In addition, gelatin is obtained and derived from natural material; thus, it retains various cell-friendly motifs, such as arginine-glycine-aspartic acid, which then provides implanted cells with a friendly environment for proliferation and differentiation. In this study, we fabricated human dermal fibroblast cell (hDF)-laden photocurable GelMa hydrogels with varying physical properties (5%, 10%, and 15%) and assessed them for cellular responses and behavior, including cell spreading, proliferation, and the degree of extracellular matrix remodeling. Under similar photocuring conditions, lower concentrations of GelMa hydrogels had lower mechanical properties than higher concentrations. Furthermore, other properties, such as swelling and degradation, were compared in this study. In addition, our findings revealed that there were increased remodeling and proliferation markers in the 5% GelMa group, which had lower mechanical properties. However, it was important to note that cellular viabilities were not affected by the stiffness of the hydrogels. With this result in mind, we attempted to fabricate 5–15% GelMa scaffolds (20 × 20 × 3 mm3) to assess their feasibility for use in skin regeneration applications. The results showed that both 10% and 15% GelMa scaffolds could be fabricated easily at room temperature by adjusting several parameters, such as printing speed and extrusion pressure. However, since the sol-gel temperature of 5% GelMa was noted to be lower than its counterparts, 5% GelMa scaffolds had to be printed at low temperatures. In conclusion, GelMa once again was shown to be an ideal biomaterial for various tissue engineering applications due to its versatile mechanical and biological properties. This study showed the feasibility of GelMa in skin tissue engineering and its potential as an alternative for skin transplants.
l-Ascorbic Acid and Thymoquinone Dual-Loaded Palmitoyl-Chitosan Nanoparticles: Improved Preparation Method, Encapsulation and Release Efficiency
Authors: Othman Nurhanisah , Md. Jamil Siti Nurul Ain , Masarudin Mas Jaffri , Abdullah Luqman Chuah , Daik Rusli , Sarman Nor Syazwani
Published: August 2020

Encapsulation of dual compounds of different characters (hydrophilic and hydrophobic) in single nanoparticles carrier could reach the site of action more accurately with the synergistic effect but it is less investigated. In our previous findings, combined-compounds encapsulation and delivery from chitosan nanoparticles were impaired by the hydrophilicity of chitosan. Therefore, hydrophobic modification on chitosan with palmitic acid was conducted in this study to provide an amphiphilic environment for better encapsulation of antioxidants; hydrophobic thymoquinone (TQ) and hydrophilic l-ascorbic acid (LAA). Palmitoyl chitosan nanoparticles (PCNPs) co-loaded with TQ and LAA (PCNP-TQ-LAA) were synthesized via the ionic gelation method. Few characterizations were conducted involving nanosizer, Fourier-transform infrared spectroscopy (FTIR), field-emission scanning electron microscopy (FESEM) and high-resolution transmission electron microscopy (HRTEM). UV–VIS spectrophotometry was used to analyze the encapsulation and release efficiency of the compounds in PCNPs. Successfully modified PCNP-TQ-LAA had an average particle size of 247.7 ± 24.0 nm, polydispersity index (PDI) of 0.348 ± 0.043 and zeta potential of 19.60 ± 1.27 mV. Encapsulation efficiency of TQ and LAA in PCNP-TQ-LAA increased to 64.9 ± 5.3% and 90.0 ± 0%, respectively. TQ and LAA in PCNP-TQ-LAA system showed zero-order release kinetics, with a release percentage of 97.5% and 36.1%, respectively. Improved preparation method, encapsulation and release efficiency in this study are anticipated to be beneficial for polymeric nanocarrier development.
Evaluation of Water Hammer for Seawater Treatment System in Offshore Floating Production Unit
Authors: Park Jun Sung , Nguyen Quang Khai , Lee Gang Nam , Jung Kwang Hyo , Park Hyun , Suh Sung Bu
Published: August 2020

Water hammer can result in the rupture of pipes, and significant damage to pipe supports is inevitable during the operation of an offshore plant. In this study, the dynamic behaviors of the water hammer caused by closing valves and starting pumps for the seawater treatment system were evaluated by using the 1D numerical simulation model based on the method of characteristics. Before conducting an analysis of a complex piping network, the 1D numerical simulation tools were validated by a comparison between the numerical results and the results from both static and transient experiments that have been conducted in other studies. For the case study, the effects of valve flow characteristics and valve closing time on surge pressure were investigated, and the equal percentage butterfly valve was recommended in order to reduce the surge pressure with a shorter valve closure time and lower weight compared to other valve types.
Optimization of Polymer Extrusion Die Based on Response Surface Method
Authors: Razeghiyadaki Amin , Zhang Dichuan , Wei Dongming , Perveen Asma
Published: August 2020

A coupled surface response optimization method with a three-dimensional finite volume method is adopted in this study to identify five independent geometric variables of the die interior that provides a design with the lowest velocity variance at the exit of the coat-hanger extrusion die. Two of these five geometric variables represent the manifold dimension while the other three variables represent the die profile. In this method, B-spline fitting with four points was used to represent the die profile. A comparison of the optimized die obtained in our study and the die with a geometry derived by a previous theoretical work shows a 20.07% improvement in the velocity distribution at the exit of the die.
Modeling the Effect of Scrap on the Electrical Energy Consumption of an Electric Arc Furnace
Authors: Carlsson Leo S. , Samuelsson Peter B. , Jönsson Pär G.
Published: August 2020

The melting time of scrap is a factor that affects the Electrical Energy (EE) consumption of the Electric Arc Furnace (EAF) process. The EE consumption itself stands for most of the total energy consumption during the process. Three distinct representations of scrap, based partly on the apparent density and shape of scrap, were created to investigate the effect of scrap on the accuracy of a statistical model predicting the EE consumption of an EAF. Shapley Additive Explanations (SHAP) was used as a tool to investigate the effects by each scrap category on each prediction of a selected model. The scrap representation based on the shape of scrap consistently resulted in the best performing models while all models using any of the scrap representations performed better than the ones without any scrap representation. These results were consistent for all four distinct and separately used cleaning strategies on the data set governing the models. In addition, some of the main scrap categories contributed to the model prediction of EE in accordance with the expectations and experience of the plant engineers. The results provide significant evidence that a well-chosen scrap categorization is important to improve a statistical model predicting the EE and that experience on the specific EAF under study is essential to evaluate the practical usefulness of the model.
Modelling Australian Dollar Volatility at Multiple Horizons with High-Frequency Data
Authors: Vo Long Hai , Vo Duc Hong
Published: August 2020

Long-range dependency of the volatility of exchange-rate time series plays a crucial role in the evaluation of exchange-rate risks, in particular for the commodity currencies. The Australian dollar is currently holding the fifth rank in the global top 10 most frequently traded currencies. The popularity of the Aussie dollar among currency traders belongs to the so-called three G’s—Geology, Geography and Government policy. The Australian economy is largely driven by commodities. The strength of the Australian dollar is counter-cyclical relative to other currencies and ties proximately to the geographical, commercial linkage with Asia and the commodity cycle. As such, we consider that the Australian dollar presents strong characteristics of the commodity currency. In this study, we provide an examination of the Australian dollar–US dollar rates. For the period from 18:05, 7th August 2019 to 9:25, 16th September 2019 with a total of 8481 observations, a wavelet-based approach that allows for modelling long-memory characteristics of this currency pair at different trading horizons is used in our analysis. Findings from our analysis indicate that long-range dependence in volatility is observed and it is persistent across horizons. However, this long-range dependence in volatility is most prominent at the horizon longer than daily. Policy implications have emerged based on the findings of this paper in relation to the important determinant of volatility dynamics, which can be incorporated in optimal trading strategies and policy implications.
Status of Phenological Research Using Sentinel-2 Data: A Review
Authors: Misra Gourav , Cawkwell Fiona , Wingler Astrid
Published: August 2020

Remote sensing of plant phenology as an indicator of climate change and for mapping land cover has received significant scientific interest in the past two decades. The advancing of spring events, the lengthening of the growing season, the shifting of tree lines, the decreasing sensitivity to warming and the uniformity of spring across elevations are a few of the important indicators of trends in phenology. The Sentinel-2 satellite sensors launched in June 2015 (A) and March 2017 (B), with their high temporal frequency and spatial resolution for improved land mapping missions, have contributed significantly to knowledge on vegetation over the last three years. However, despite the additional red-edge and short wave infra-red (SWIR) bands available on the Sentinel-2 multispectral instruments, with improved vegetation species detection capabilities, there has been very little research on their efficacy to track vegetation cover and its phenology. For example, out of approximately every four papers that analyse normalised difference vegetation index (NDVI) or enhanced vegetation index (EVI) derived from Sentinel-2 imagery, only one mentions either SWIR or the red-edge bands. Despite the short duration that the Sentinel-2 platforms have been operational, they have proved their potential in a wide range of phenological studies of crops, forests, natural grasslands, and other vegetated areas, and in particular through fusion of the data with those from other sensors, e.g., Sentinel-1, Landsat and MODIS. This review paper discusses the current state of vegetation phenology studies based on the first five years of Sentinel-2, their advantages, limitations, and the scope for future developments.
Validation and Evaluation of a Ship Echo-Based Array Phase Manifold Calibration Method for HF Surface Wave Radar DOA Estimation and Current Measurement
Authors: Zhao Chen , Chen Zezong , Li Jian , Ding Fan , Huang Weimin , Fan Lingang
Published: August 2020

Shore-based phased-array HF radars have been widely used for remotely sensing ocean surface current, wave, and wind around the world. However, phase uncertainties, especially phase distortions, in receiving elements significantly degrade the performance of beam forming and direction-of-arrival (DOA) estimation for phased-array HF radar. To address this problem, the conventional array signal model is modified by adding a direction-based phase error matrix. Subsequently, an array phase manifold calibration method using antenna responses of incoming ship echoes is proposed. Later, an assessment on the proposed array calibration method is made based on the DOA estimations and current measurements that are obtained from the datasets that were collected with a multi-frequency HF (MHF) radar. MHF radar-estimated DOAs using three calibration strategies are compared with the ship directions that are provided by an Automatic Identification System (AIS). Additionally, comparisons between the MHF radar-derived currents while using three calibration strategies and Acoustic Doppler Current Profilers (ADCP)-measured currents are made. The results indicate that the proposed array calibration method is effective in DOA estimation and current measurement for phased-array HF radars, especially in the phase distortion situation.
Co-Seismic and Post-Seismic Temporal and Spatial Gravity Changes of the 2010 Mw 8.8 Maule Chile Earthquake Observed by GRACE and GRACE Follow-on
Authors: Qu Wei , Han Yaxi , Lu Zhong , An Dongdong , Zhang Qin , Gao Yuan
Published: August 2020

The Gravity Recovery and Climate Experiment (GRACE) and GRACE Follow-on (GRACE-FO) satellites are important for studying regional gravitational field changes caused by strong earthquakes. In this study, we chose Chile, one of Earth’s most active seismic zones to explore the co-seismic and post-seismic gravitational field changes of the 2010 Mw 8.8 Maule earthquake based on longer-term GRACE and the newest GRACE-FO data. We calculated the first-order co-seismic gravity gradient changes (GGCs) and probed the geodynamic characteristics of the earthquake. The earthquake caused significant positive gravity change on the footwall and negative gravity changes on the hanging wall of the seismogenic fault. The time series of gravity changes at typical points all clearly revealed an abrupt change caused by the earthquake. The first-order northern co-seismic GGCs had a strong suppressive effect on the north-south strip error. GRACE-FO results showed that the latest post-seismic gravity changes had obvious inherited development characteristics, and that the west coast of Chile maybe still affected by the post-seismic effect. The cumulative gravity changes simulated based on viscoelastic dislocation model is approximately consistent with the longer-term GRACE and the newest GRACE-FO observations. Our results provide important reference for understanding temporal and spatial gravity variations associated with the co-seismic and post-seismic processes of the 2010 Maule earthquake.
Reductions in CO2 Emissions from Passenger Cars under Demography and Technology Scenarios in Japan by 2050
Authors: Kii Masanobu
Published: August 2020

Climate policy requires substantial reductions in long-term greenhouse gas (GHG) emissions, including in the transportation sector. As passenger cars are one of the dominant CO2 emitters in the transport sector, governments and the automobile industry have implemented various countermeasures, including decarbonization of fuels, more energy efficient vehicles, and transport demand management. However, the total impact of these measures in the long term remains unclear. This study aims to clarify the CO2 emissions reductions from passenger cars by 2050 in 1727 municipalities in Japan under a declining population. To estimate CO2 emissions, we model travel behavior and traffic situations reflecting the regional conditions of the municipalities, including population density and accessibility to public transport for the base year 2010. Assuming plausible scenarios for future populations and automobile technologies, we estimate CO2 emissions from passenger cars. We estimate that CO2 emissions will decline by 64–70% between 2010 and 2050, with automobile technologies playing the largest role. We find that the impact of urban compaction is marginal at the national level but varies by municipality. These results imply that, given regional variations, all countermeasures, including technology and demand management, must be used to achieve the long-term target of CO2 emissions reductions.
Characteristics and Motivations of Consumers of Direct Purchasing Channels and the Perceived Barriers to Alternative Food Purchase: A Cross-Sectional Study in the Ecuadorian Andes
Authors: April-Lalonde Gabriel , Latorre Sara , Paredes Myriam , Hurtado María Fernanda , Muñoz Fabián , Deaconu Ana , Cole Donald C. , Batal Malek
Published: August 2020

Modern food systems generate social inequalities in the access to healthy food, but some families maintain behaviors that provide an alternative to these systems. Agroecological consumers (ACs) and non-agroecological direct market consumers (DMCs) are key actors in alternative food systems. We assessed the characteristics of ACs and DMCs using data from a representative sample of households in Ibarra, Quito and Riobamba (n = 2914). We also deepened the exploration of motivations for adopting these practices through mini-ethnographies with families who were identified as ACs or DMCs (n = 15). We found motivations related to personal health problems, food quality (e.g., taste, freshness), and safety (e.g., avoiding pesticides) to be key. Other motivations were price and community solidarity with farmers. Barriers included inconvenience, lack of awareness, and insecurity of market location. Using Chi-square tests, we found differences between ACs and DMCs on place of residence, education, employment, health, and diet. Controlling for socioeconomic and health variables using logistic regressions, we found DMC dietary habits to be similar to the remainder of the study population, except that they were less likely to eat processed foods less frequently (adjusted odds ratio (AOR) 0.6, 95% confidence interval 0.4–0.9). In contrast, ACs were more likely than the remainder of the study population to control their salt intake (3.2, 1.9–5.2) and have greater knowledge of nutrition labels (2.8, 1.7–4.6). They were more likely to eat traditional foods frequently (1.9, 1.1–3.3), fruit and vegetables daily (1.6, 1.0–2.8), and processed foods less frequently (2.7, 1.5–4.8). Hence, these two types of alternative food provisioning practices (AC and DMC) were adopted by different types of consumers, with heterogenous motivations and food consumption practices. These findings have implications for public health initiatives aiming to scale up the nutrition and ecological potential of alternative food systems.
‘Rapid Scenario Planning’ to Support a Regional Sustainability Transformation Vision: A Case Study from Blekinge, Sweden
Authors: Thomson Giles , Ny Henrik , Nikulina Varvara , Borén Sven , Ayers James , Bryant Jayne
Published: August 2020

This paper presents a case study of a transdisciplinary scenario planning workshop that was designed to link global challenges to local governance. The workshop was held to improve stakeholder integration and explore scenarios for a regional planning project (to 2050) in Blekinge, Sweden. Scenario planning and transdisciplinary practices are often disregarded by practitioners due to the perception of onerous resource requirements, however, this paper describes a ‘rapid scenario planning’ process that was designed to be agile and time-efficient, requiring the 43 participants from 13 stakeholder organizations to gather only for one day. The process was designed to create an environment whereby stakeholders could learn from, and with, each other and use their expert knowledge to inform the scenario process. The Framework for Strategic Sustainable Development (FSSD) was used to structure and focus the scenario planning exercise and its subsequent recommendations. The process was evaluated through a workshop participant survey and post-workshop evaluative interview with the regional government project manager to indicate the effectiveness of the approach. The paper closes with a summary of findings which will support those wishing to conduct similar rapid scenario planning exercises to inform policy planning for complex systems.
Ensuring the Sustainability of University Learning: Case Study of a Leading Chinese University
Authors: Liu Yang , Zhang Yu , Qiao Weifeng , Zhou Lu , Coates Hamish
Published: August 2020

The spread of the novel coronavirus at the start of 2020 shocked higher education across China then around the rest of the world. To ensure sustainability of learning, this required an unprecedented shift from campus-based to emergency online education. This created an urgent need to learn more about the quality of online education, the provision of global education, and the transformation potential of universities. This paper analyses these matters, presenting insights from large-scale research conducted on a leading Chinese university, the first ever major research university to make this substantial transition. This research applied a mixed methods design, which combines quantitative and qualitative approaches. The results provide important insight into the nature, quality, and outcomes of online learning in major Asian research universities. They signal critical areas that require reform to ensure the sustainability of future higher education.
Vulnerability and Decision-Making in Multispecies Fisheries: A Risk Assessment of Bacalao (Mycteroperca olfax) and Related Species in the Galapagos’ Handline Fishery
Authors: Pontón-Cevallos José F. , Bruneel Stijn , Marín Jarrín José R. , Ramírez-González Jorge , Bermúdez-Monsalve Jorge R. , Goethals Peter L. M.
Published: August 2020

Marine fish populations can be vulnerable to overfishing, as a response of their life history, ecology, and socio-economic aspects. Vulnerability assessments, in this regard, can be used to support fisheries decision-making by aiding species prioritization. Assessments like Productivity–Susceptibility Analyses are well suited for multispecies fisheries, with low gear selectivity and insufficient fishery-independent and dependent data. Using this method, we assessed local vulnerability of the Galapagos grouper (‘bacalao’; Mycteroperca olfax) and compared it with other phylogenetically-related species caught in the Galapagos’ handline-fishery. Bacalao is an overfished regionally endemic fish species, characterized by low resilience, high market and cultural value and high spatial overlap with the fishery. Our results suggested that bacalao is a species of high management priority, requiring urgent measures to prevent fisheries’ collapse. In addition, if current fishing pressure persists, other related species may become threatened in the near future. We also evaluated different management scenarios using this approach. Results suggested that the inclusion of additional no-take zones in the marine reserve, comprising key nursery habitats (such as mangroves) and spawning aggregation sites, would be necessary to reduce species vulnerability and to benefit other related species. Improving enforcement and fishers’ compliance are essential to guarantee the effectiveness of these measures.
Knowledge Society Failure? Barriers in the Use of ICTs and Further Teacher Education in the Czech Republic
Authors: Mynaříková Lenka , Novotný Lukáš
Published: August 2020

The study investigates barriers of Czech secondary school teachers in the use of Information and Communication Technologies (ICTs) in teaching and in further education in ICTs. The Czech Republic is used as an example of a post-communist country with an evident gap between the digital competencies in general and teachers’ didactic skills necessary for their implementation in teaching. To explore how teachers deal with the challenges of digitalization of the education system, an online questionnaire was created to analyze the use of ICTs in teaching, as well as barriers teachers encounter when using digital technologies and when participating in further education. The results indicate that respondents have average understanding of ICTs and use them rather occasionally in teaching. Data show gender and age differences in the use of various digital means and in the barriers, the importance of social support in using ICTs in teaching, and also the necessity to eliminate prevalent gender stereotypes. Systematic further education that focuses on lowering computer anxiety and the distrust in new technologies might be also a major key in successful digital transformation of schools.
Climate Change: A Bibliometric Study of Adaptation, Mitigation and Resilience
Authors: Einecker Rachel , Kirby Andrew
Published: August 2020

The paper uses bibliometric methods to explore the production of knowledge in the field of climate change from 1991–2019. Using the Web of Science database, we demonstrate the growth of publications in the field, including papers in mitigation, adaptation and resilience. Using VOSviewer software, we show the connections between these subfields and the journals in which they are published. The analysis displays clusters of publications in different subfields and minimal convergence of research in STEM fields and the social sciences. We suggest that this lack of convergence may reflect a relative shortage of interdisciplinary research which may in turn have negative outcomes in terms of research and policy.
Indicator-Based Assessment of Resilience and Vulnerability in the Indian Himalayan Region: A Case Study on Socio-Economy under Different Scenarios
Authors: Dasgupta Soumya , Badola Ruchi
Published: August 2020

The Indian Himalayan region is vulnerable to climate change because of its geospatial fragility. The present study gives a framework for the analysis of household and village-level resilience and vulnerability in the Bhagirathi Basin of Indian Western Himalayan region under different climate change scenarios. Villages were selected depending on different biophysical criteria to have a good representation of the study area. Household-level survey using the household economy approach was done in 646 households of 30 villages to collect information on indicators of natural, physical, financial and human capital assets and scores were generated for each category. A cumulative resilience score was obtained for each household and village. Future climate projections on mean annual temperature were also accessed under Representative Concentration Pathway (RCP) 4.5 to estimate the change in mean temperature of the studied villages and probable change in agricultural production. The result shows that most of the villages of Tehri Garhwal are clustered in vulnerable classes in comparison to Uttarkashi villages and vulnerability scores of 11 and 8 villages changed under climate shock and future agricultural production change scenarios, respectively. The study has manifold implications on further research and policy implementation under socioeconomic vulnerability in the Himalayan region.
The Potential of Impact and Integral Investing for Sustainable Social Development and the Role of Academia in Their Dissemination
Authors: Kubátová Jaroslava , Kročil Ondřej
Published: August 2020

With the increasing challenges our society faces, ranging from environmental issues to the current coronavirus crisis, interest in a new way of investing, known as impact investing, has also been increasing. In addition, recently, an even more conscious way of investing, known as integral investing, has appeared. In this article, the concepts of impact investing and integral investing are described and compared and their positive impacts on society are documented. The importance of people and leaders with corresponding ethics, morals, and personal values for the success of the investments is explained. As both impact and integral investing have the potential to meet the challenges of present-day society and to contribute to its further sustainable development, they should be addressed in academic research and higher education. Therefore, this article seeks to answer the question of whether these concepts are reflected in academia. To answer this question, a bibliometric analysis was conducted. The findings show that there is a modest but growing academic interest in impact investing and very little interest in integral investing. Reasons to take these topics into account in research and education are discussed in the final part of the article.
Modelling Welfare Transitions to Prioritise Sustainable Development Interventions in Coastal Kenya
Authors: Katuva Jacob , Hope Rob , Foster Tim , Koehler Johanna , Thomson Patrick
Published: August 2020

Welfare transitions are weakly understood in sub-Saharan Africa due to limited panel data to analyze trajectories of household escaping from, falling into, or remaining out of deprivation. We model data from 3500 households in coastal Kenya in three panels from 2014 to 2016 to evaluate determinants of welfare by multidimensional and subjective measures. Findings indicate that more than half of the households are deprived, with female-headed households being the most vulnerable and making the least progress. The subjective welfare measure identified three times more chronically poor households than the multidimensional metric (27% vs. 9%); in contrast, the multidimensional metric estimated twice as many ‘never poor’ households than the subjective measure (39% vs. 16%). The ‘churning poor’ were broadly consistent for both measures at roughly half the sample. Four welfare priorities converged from modelling welfare transitions. Broadening access to secondary education and energy services, improving the reliability and proximity of drinking water services, and ending open defecation improve welfare outcomes. While the policy implications do not align neatly with Kenya’s national and county government mandates, we argue that prioritising fewer but targeted sustainable development goals may improve accountability, feasibility, and responsibility in delivery if informed by local priorities and political salience.
Valuation of Water Resource Green Efficiency Based on SBM–TOBIT Panel Model: Case Study from Henan Province, China
Authors: Guo Yiru , Hu Yan , Shi Ke , Bilan Yuriy
Published: August 2020

With progress in China’s industrialization and urbanization, the contradiction of social and economic development with water resource supply–demand and water environmental pollution becomes increasingly prominent. To cope with the dual constraints of resource shortage and environmental regulations, the concept of water resource green efficiency that considers economic, environmental, and ecological factors is highly involved to promote sustainable economic development. The theoretical and practice circle devote to scientific green efficiency assessment of water resources and effective recognition of relevant influencing factors. However, to an extent they neglect social benefits brought by sustainable development and possible influences of industrial restructuring on green efficiency. They also lack concern on green efficiency of water resources in inland arid areas. To offset the disadvantages of existing studies, the philosophy of sustainable development was integrated into the input–output assessment system of green efficiency of water resources, and an assessment model was constructed using the SBM–Tobit (slack-based measure and Tobit) method. Moreover, a case study based on Henan Province, China was carried out. The green efficiencies of water resources in 18 cities of Henan Province during 2011–2018 were calculated. The operation mechanism of relevant influencing factors was discussed, and the methods to improve green efficiency of water resources were determined. Results reveal that the sustainable green efficiency of water resources in Henan Province increased in fluctuation during 2011–2018. The mean green efficiency increased from 0.425 in 2011 to 0.498 in 2018. At present, green efficiency of water resources in Henan Province remains at a low level, with a mean of 0.504. Reducing water consumption intensity and increasing investment to water environmental pollution technologies can promote green efficiency of water resources significantly. Conclusions provide a new method for scientific measurement and green efficiency assessment of water resources in inland arid areas.
Responsible Innovation for Sustainable Development Goals in Business: An Agenda for Cooperative Firms
Authors: Imaz Oier , Eizagirre Andoni
Published: August 2020

In this contribution, we explore the possibilities of Responsible Innovation (RI) to assess and support the engagement of businesses in the spectrum of Social and Solidarity Economy (SSE) and, in particular, cooperatives to the implementation of Sustainable Development Goals (SDGs) at the firm level. We conduct a critical review of the academic literature on sustainable development and responsible innovation, focusing on the role of business to identify how firms in the spectrum of SSE can contribute through responsible innovation to the sustainable development agenda and how firms in the spectrum of SSE can benefit from it. Results suggest that firms can benefit from responsible innovation in the transformation of their business models. On the other hand, firms in the spectrum of SSE contribute to extending the scope of SDGs to business, not focusing on what cooperatives do by their nature (e.g., principles and values), but their contribution to key horizontal enablers (e.g., partnership and innovation) for the integration of firms in the sustainable development agenda. To our knowledge, this is the first time that the relationship between SSE firms and RI is assessed from the perspective of firms’ contribution to SDGs. Further research is needed to sophisticate the translation of particular tools developed in the framework of RI to firms in the spectrum of SSE and, in particular, cooperative firms.
Improving Prediction Accuracy of Socio-Human Relationships in a Small-Scale Desalination Plant
Authors: Abdul Ghani Latifah , Nazaran Ilyanni Syazira , Ali Nora’aini , Hanafiah Marlia Mohd
Published: August 2020

This study examines who are the social actors in coordinating the environmental hot spots along the process of desalination. The integrated model design of life cycle modeling and Social Network Analysis is evaluated holistically by the inventory of life cycle and actor engagement ratings. Instances of the first small-scale reverse osmosis desalination plant project in Kelantan, Malaysia were used to meet the demands of this study. Environmental performance is measured through the Eco-Indicator 99 method in the Life Cycle Assessment Principles. Meanwhile, the network analysis of the actors’ networks involves stakeholders visualized through the UCINET software. The results show three hotspot points of membrane and brine disposal, the use of electrical energy, and the use of chemicals. The results acknowledged that 87 percent of the actors’ involvement from the dominant stakeholder group has been in control of the management and of the aforementioned hotspot. Undoubtedly, the results of this study can provide a better understanding of the potential market of actors to work with a more accurate and polycentric information flow for the development of more established desalination systems. This intriguing research will require further exploration in future studies.
New Identities Dealing with Gauss Sums
Authors: Zhang Wenpeng , Samad Abdul , Chen Zhuoyu
Published: August 2020

In this article, we used the elementary methods and the properties of the classical Gauss sums to study the problem of calculating some Gauss sums. In particular, we obtain some interesting calculating formulas for the Gauss sums corresponding to the eight-order and twelve-order characters modulo p, where p be an odd prime with p=8k+1 or p=12k+1.
GRID: GRID Resample by Information Distribution
Authors: Li Cheng , Guo Baolong , Huang Zhe , Gong Jianglei , Han Xiaodong , He Wangpeng
Published: August 2020

This paper exploits a concise yet efficient initialization strategy to optimize grid sampling-based superpixel segmentation algorithms. Rather than straight distributing all initial seeds evenly, it adopts a context-aware approach to modify their positions and total number via a coarse-to-fine manner. Firstly, half the expected number of seeds are regularly sampled on the image grid, thereby creating a rough distribution of color information for all rectangular cells. A series of fission is then performed on cells that contain excessive color information recursively. In each cell, the local color uniformity is balanced by a dichotomy on one original seed, which generates two new seeds and settles them to spatially symmetrical sub-regions. Therefore, the local concentration of seeds is adaptive to the complexity of regional information. In addition, by calculating the amount of color via a summed area table (SAT), the informative regions can be located at a very low time cost. As a result, superpixels are produced from ideal original seeds with an exact number and exhibit better boundary adherence. Experiments demonstrate that the proposed strategy effectively promotes the performance of simple linear iterative clustering (SLIC) and its variants in terms of several quality measures.
A Collocation Method Using Radial Polynomials for Solving Partial Differential Equations
Authors: Ku Cheng-Yu , Xiao Jing-En
Published: August 2020

In this article, a collocation method using radial polynomials (RPs) based on the multiquadric (MQ) radial basis function (RBF) for solving partial differential equations (PDEs) is proposed. The new global RPs include only even order radial terms formulated from the binomial series using the Taylor series expansion of the MQ RBF. Similar to the MQ RBF, the RPs is infinitely smooth and differentiable. The proposed RPs may be regarded as the equivalent expression of the MQ RBF in series form in which no any extra shape parameter is required. Accordingly, the challenging task for finding the optimal shape parameter in the Kansa method is avoided. Several numerical implementations, including problems in two and three dimensions, are conducted to demonstrate the accuracy and robustness of the proposed method. The results depict that the method may find solutions with high accuracy, while the radial polynomial terms is greater than 6. Finally, our method may obtain more accurate results than the Kansa method.
Consequences of Soret–Dufour Effects, Thermal Radiation, and Binary Chemical Reaction on Darcy Forchheimer Flow of Nanofluids
Authors: Rasool Ghulam , Shafiq Anum , Baleanu Dumitru
Published: August 2020

This research article aims to investigate the consequences of binary chemical reaction, thermal radiation, and Soret–Dufour effects on a steady incompressible Darcy–Forchheimer flow of nanofluids. Stretching surface is assumed to drive the fluid along positive horizontal direction. Brownian motion, and the Thermophoresis are accounted in particular. The governing highly nonlinear system of problems which are advanced version of Navier–Stokes equations are transformed into ordinary differential equations (ODEs) using appropriately adjusted transformations invoking symmetric property of the independent variables. The numerical approach using RK45 in connection with shooting technique is adopted to solve the final equations. Graphical approach is used to interpret the results and the values of important physical quantities are given in tabular data form. Velocity field, temperature distribution and concentration distribution are graphically analyzed for variation in respective fluid parameters. Furthermore, density graphs and stream lines are sketched for the present model. The outputs indicate a rise of temperature field in connection with thermal radiation parameter. A clear decline is noticed in velocity field for elevated values of Forchheimer number and porosity factor. The Dufour effect anticipates a rising factor for temperature distribution and the same is noticed for concentration distribution in lieu of Soret effect. Thermal radiation and binary chemical reaction has strong impact on heat transport mechanism. The results for physical quantities such as skin friction, heat and mass flux rates are given in tabular data form in last section of this study.
Structural Comparison of Diverse HIV-1 Subtypes using Molecular Modelling and Docking Analyses of Integrase Inhibitors
Authors: Isaacs Darren , Mikasi Sello Given , Obasa Adetayo Emmanuel , Ikomey George Mondinde , Shityakov Sergey , Cloete Ruben , Jacobs Graeme Brendon
Published: August 2020

The process of viral integration into the host genome is an essential step of the HIV-1 life cycle. The viral integrase (IN) enzyme catalyzes integration. IN is an ideal therapeutic enzyme targeted by several drugs; raltegravir (RAL), elvitegravir (EVG), dolutegravir (DTG), and bictegravir (BIC) having been approved by the USA Food and Drug Administration (FDA). Due to high HIV-1 diversity, it is not well understood how specific naturally occurring polymorphisms (NOPs) in IN may affect the structure/function and binding affinity of integrase strand transfer inhibitors (INSTIs). We applied computational methods of molecular modelling and docking to analyze the effect of NOPs on the full-length IN structure and INSTI binding. We identified 13 NOPs within the Cameroonian-derived CRF02_AG IN sequences and further identified 17 NOPs within HIV-1C South African sequences. The NOPs in the IN structures did not show any differences in INSTI binding affinity. However, linear regression analysis revealed a positive correlation between the Ki and EC50 values for DTG and BIC as strong inhibitors of HIV-1 IN subtypes. All INSTIs are clinically effective against diverse HIV-1 strains from INSTI treatment-naïve populations. This study supports the use of second-generation INSTIs such as DTG and BIC as part of first-line combination antiretroviral therapy (cART) regimens, due to a stronger genetic barrier to the emergence of drug resistance.