bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluation of Impurity Concentration Process and Mitigation Operation in Fuel Cell System for Using Biogas
Authors: Akimoto Yutaro , Minei Yuta , Okajima Keiichi
Published: May 2021

For a low-carbon society, it is necessary to extract hydrogen for fuel cells from biogas rather than from fossil fuels. However, impurities contained in the biogas affect the fuel cell; hence, there is a need for system and operation methods to remove these impurities. In this study, to develop a fuel cell system for the effective utilization of biogas-derived hydrogen, the compositional change and concentration of impurities in the hydrogen recirculation system under actual operation were evaluated using process simulation. Then, the mitigation operation for performance degradation using simple purification methods was evaluated on the proton exchange membrane fuel cells (PEMFC) stack. In the process simulation of the hydrogen recirculation system, including the PEMFC stack, the concentration of impurities remained at a level that did not pose a problem to the performance. In the constant voltage test for a simulated gas supply of biogas-derived hydrogen, the conditions for applying the methanation reforming and air bleeding methods were analyzed. As a result, methanation reforming is more suitable for supplying biogas-containing CO to the PEMFC stack for continuous operation.
Algorithm for Real-Time Cycle Slip Detection and Repair for Low Elevation GPS Undifferenced Data in Different Environments
Authors: Liu Ning , Zhang Qin , Zhang Shuangcheng , Wu Xiaoli
Published: May 2021

Real-time cycle slip detection and repair is one of the key issues in global positioning system (GPS) high precision data processing and application. In particular, when GPS stations are in special environments, such as strong ionospheric disturbance, sea, and high-voltage transmission line interference, cycle slip detection and repair in low elevation GPS observation data are more complicated than those in normal environments. For low elevation GPS undifferenced carrier phase data in different environments, a combined cycle slip detection algorithm is proposed. This method uses the first-order Gauss–Markov stochastic process to model the pseudorange multipath in the wide-lane phase minus narrow-lane pseudorange observation equation, and establishes the state equation of the wide-lane ambiguity with the pseudorange multipath as a parameter, and it uses the Kalman filter for real-time estimation and detects cycle slips based on statistical hypothesis testing with a predicted residual sequence. Meanwhile, considering there are certain correlations among low elevation, observation epoch interval, and ionospheric delay error, a second-order difference geometry-free combination cycle slip test is constructed that takes into account the elevation. By combining the two methods, real-time cycle slip detection for GPS low elevation satellite undifferenced data is achieved. A cycle slip repair method based on spatial search and objective function minimization criterion is further proposed to determine the correct solution of the cycle slips after they are detected. The whole algorithm is experimentally verified using the static and kinematic measured data of low elevation satellites under four different environments: normal condition, high-voltage transmission lines, dynamic condition in the sea, and ionospheric disturbances. The experimental results show that the algorithm can detect and repair cycle slips accurately for low elevation GPS undifferenced data, the difference between the float solution and the true value for the cycle slip does not exceed 0.5 cycle, and the differences obey the normal distribution overall. At the same time, the wide-lane ambiguity and second-order difference GF combination sequence calculated by the algorithm is smoother, which give further evidence that the algorithm for cycle slip detection and repair is feasible and effective, and has the advantage of being immune to the special observation environments.
Precise Identification of Prostate Cancer from DWI Using Transfer Learning
Authors: Abdelmaksoud Islam R. , Shalaby Ahmed , Mahmoud Ali , Elmogy Mohammed , Aboelfetouh Ahmed , Abou El-Ghar Mohamed , El-Melegy Moumen , Alghamdi Norah Saleh , El-Baz Ayman
Published: May 2021

Background and Objective: The use of computer-aided detection (CAD) systems can help radiologists make objective decisions and reduce the dependence on invasive techniques. In this study, a CAD system that detects and identifies prostate cancer from diffusion-weighted imaging (DWI) is developed. Methods: The proposed system first uses non-negative matrix factorization (NMF) to integrate three different types of features for the accurate segmentation of prostate regions. Then, discriminatory features in the form of apparent diffusion coefficient (ADC) volumes are estimated from the segmented regions. The ADC maps that constitute these volumes are labeled by a radiologist to identify the ADC maps with malignant or benign tumors. Finally, transfer learning is used to fine-tune two different previously-trained convolutional neural network (CNN) models (AlexNet and VGGNet) for detecting and identifying prostate cancer. Results: Multiple experiments were conducted to evaluate the accuracy of different CNN models using DWI datasets acquired at nine distinct b-values that included both high and low b-values. The average accuracy of AlexNet at the nine b-values was 89.2±1.5% with average sensitivity and specificity of 87.5±2.3% and 90.9±1.9%. These results improved with the use of the deeper CNN model (VGGNet). The average accuracy of VGGNet was 91.2±1.3% with sensitivity and specificity of 91.7±1.7% and 90.1±2.8%. Conclusions: The results of the conducted experiments emphasize the feasibility and accuracy of the developed system and the improvement of this accuracy using the deeper CNN.
Multi-Frequency Magnetic Induction Tomography System and Algorithm for Imaging Metallic Objects
Authors: Dingley Gavin , Soleimani Manuchehr
Published: May 2021

Magnetic induction tomography (MIT) is largely focused on applications in biomedical and industrial process engineering. MIT has a great potential for imaging metallic samples; however, there are fewer developments directed toward the testing and monitoring of metal components. Eddy-current non-destructive testing is well established, showing that corrosion, fatigue and mechanical loading are detectable in metals. Applying the same principles to MIT would provide a useful imaging tool for determining the condition of metal components. A compact MIT instrument is described, including the design aspects and system performance characterisation, assessing dynamic range and signal quality. The image rendering ability is assessed using both external and internal object inclusions. A multi-frequency MIT system has similar capabilities as transient based pulsed eddy current instruments. The forward model for frequency swap multi-frequency is solved, using a computationally efficient numerical modelling with the edge-based finite elements method. The image reconstruction for spectral imaging is done by adaptation of a spectrally correlative base algorithm, providing whole spectrum data for the conductivity or permeability.
Impact of COVID-19 on Educational Sustainability. Initial Perceptions of the University Community of the University of Cádiz
Authors: Alonso-García María , Garrido-Letrán Tamara María , Sánchez-Alzola Alberto
Published: May 2021

This research analyses the impact of COVID-19 on the Spanish university system during the period of home lockdown put in place by the government of Spain between 15 March and 21 June 2020. This period did not involve a change to online teaching. Instead, it involved emergency remote teaching, wherein the content of face-to-face teaching was taught through non-classroom training using media, devices and tools available at that time. The main objective of the paper is related to the perceptions of students and teachers on emergency remote teaching regarding the face-to-face model. We applied statistical techniques of descriptive and inferential analysis over a sample of 2778 students and 221 teaching staff from the University of Cádiz. We also analysed the methodologies used, as well as the acquisition of skills, competencies and knowledge by the students in this situation, in order to detect whether this type of action can achieve sustainable education. This term refers to education that is capable of maintaining the continuous quality of the training of each student, who should acquire the required knowledge and competences regardless of unforeseen events. However, according to the results of this research, the sudden transition to e-learning, based on available technological and computer-based methods, did not guarantee sustainable education or its quality. This study establishes different possibilities for improving non-face-to-face teaching in this kind of situation. The results show greatly concerning levels of training and evaluation, as well as worse acquisition of skills. Both teachers and students declared a preference for face-to-face teaching. This perception should prompt the educational authorities to solve the existing problems in e-learning education, improving the transition and guaranteeing the sustainability of non-face-to-face education. This research highlights the areas for improvement in e-learning education in the ongoing situation, the general uncertainty in the transition, the lack of communication and the completion of a fair evaluation system. The results show that the methods used in this period must be improved to achieve sustainable teaching and learning during a pandemic. The results also emphasize the uncertainty in the educational community about the entire process. This study will help the educational authorities to improve the change of paradigm in higher education in the future.
How Small and Medium-Sized Enterprises Can Uptake the Sustainable Development Goals through a Cluster Management Organization: A Case Study
Authors: Jiménez Eduardo , de la Cuesta-González Marta , Boronat-Navarro Montserrat
Published: May 2021

Even though many small and medium-sized enterprises (SMEs) realize the importance of the Sustainable Development Goals (SDGs) for their sustainable business development, they face difficulties when individually pursuing this target. This paper aims to provide cluster-based SMEs with a framework to facilitate the uptake of the SDGs through a cluster network model. By focusing on the case study of a furniture production Cluster Management Organization (CMO Habic a network-based approach to sustainability management is analyzed in order to integrate the SDGs framework into SMEs’ everyday language and day-to-day operations. Through a cluster model approach, industry-specific sustainability material issues are tackled jointly and with the aim of applying a common solution to a similar challenge, Lehi-ODS, an online sustainability management tool for SME self-evaluation, has been developed wherein the participating SMEs can gain an overarching knowledge about the UN 2030 Agenda, assess their own alignment with the SDGs and with respect to that of their peers, and prioritize initiatives to correctly deliver them. The main conclusion derived from the paper is that a CMO is deemed to be a valuable driver in identifying common sector-specific challenges of corporate sustainability and in addressing collectively the question of contributing to the SDGs.
Post-Anthesis Mobilization of Stem Assimilates in Wheat under Induced Stress
Authors: Nazir Mian Faisal , Sarfraz Zareen , Mangi Naimatullah , Nawaz Shah Muhammad Kausar , Mahmood Talat , Mahmood Tahir , Iqbal Muhammad Shahid , Ishaq Asif Rehmani Muhammad , El-Sharnouby Mohamed , Shabaan Mohamed Khamees Aly , Sorour Sobhy Gharib Rizk , EL Sabagh Ayman
Published: May 2021

Stem reserves in grain crops are considered important in grain filling under post-anthesis stress in the absence/low availability of photosynthetic assimilates. Considerable variation is present among genotypes for stem reserve translocation in wheat. Therefore, this study aimed to exploit the phenotypic variation for stem reserve translocation in wheat under control and chemically induced stress conditions. The phenotypic variation among six parents and their corresponding direct cross combinations was evaluated under induced stress conditions. The results signify the presence of considerable variation between treatments, genotypes, and treatment-genotype interactions. The parent LLR-20 depicted the highest translocation of dry matter and contribution of post-anthesis assimilates under induced-stress conditions. Similarly, cross combinations Nacozari × LLR22, Nacozari × LLR 20, Nacozari × Parula, Nacozari × LLR 21, LLR 22 × LLR 21, and LLR 20 × LLR 21 showed higher source-sink accumulation under induced-stress conditions. The selected parents and cross combinations can be further utilized in the breeding program to strengthen the genetic basis for stress tolerance in wheat.
Landscape Connectivity Analysis and Optimization of Qianjiangyuan National Park, Zhejiang Province, China
Authors: Peng Yangjing , Meng Minghao , Huang Zhihao , Wang Ruifeng , Cui Guofa
Published: May 2021

As natural ecosystems in most parts of the world come under increasing human influence, fragmentation is becoming the major driving factor of the global biodiversity crisis. Therefore, connectivity between habitat patches is becoming even more important. China began building national parks with the primary purpose of protecting nationally representative natural ecosystems and maintaining the integrity of their structure, processes and functions. Research is necessary to improve the internal connectivity of national parks and to propose suggestions for existing functional zoning and biological corridors. In this study, Qianjiangyuan National Park was selected as an example park, and landscape fragmentation was evaluated exponentially and simulated visually. The habitat characteristics of protected species in the region, morphological spatial pattern analysis and the delta of the probability of connectivity were used together to identify key habitat patches and their importance levels in the study area. Potential habitat corridors in the region were then obtained using least-cost path analysis and gravity modeling methods based on the distribution of key habitat and the migration costs of target species. The results of this study show that the disturbed landscape of the study area is dominated by tea plantations and drylands, with central roads being an important factor affecting the overall landscape connectivity. In terms of the distribution of key habitat patches, the mountains have a high value. In terms of area, their size is not directly proportional to their importance for maintaining landscape connectivity in the region, but large area patches are generally of higher importance. In terms of distance, key habitats that are closer to each other have a stronger correlation and a greater possibility for species migration. Combined with the functional zoning of Qianjiangyuan National Park, the setting of strictly protected areas and recreational areas is reasonable, and traditional use areas and ecological conservation areas could be appropriately adjusted according to the distribution of key habitats. The important corridor in the middle of the ecological conservation area is crucial for the overall connectivity of the national park, and the connectivity between strict protected areas will depend on successful protection of the ecological conservation area.
Did Noise Pollution Really Improve during COVID-19? Evidence from Taiwan
Authors: Caraka Rezzy Eko , Yusra Yusra , Toharudin Toni , Chen Rung-Ching , Basyuni Mohammad , Juned Vilzati , Gio Prana Ugiana , Pardamean Bens
Published: May 2021

Background and objectives: The impacts of COVID-19 are like two sides of one coin. During 2020, there were many research papers that proved our environmental and climate conditions were improving due to lockdown or large-scale restriction regulations. In contrast, the economic conditions deteriorated due to disruption in industry business activities and most people stayed at home and worked from home, which probably reduced the noise pollution. Methods: To assess whether there were differences in noise pollution before and during COVID-19. In this paper, we use various statistical methods following odds ratios, Wilcoxon and Fisher’s tests and Bayesian Markov chain Monte Carlo (MCMC) with various comparisons of prior selection. The outcome of interest for a parameter in Bayesian inference is complete posterior distribution. Roughly, the mean of the posterior will be clear with point approximation. That being said, the median is an available choice. Findings: To make the Bayesian MCMC work, we ran the sampling from the conditional posterior distributions. It is straightforward to draw random samples from these distributions if they have regular shapes using MCMC. The case of over-standard noise per time frame, number of noise petition cases, number of industry petition cases, number of motorcycles, number of cars and density of vehicles are significant at α = 5%. In line with this, we prove that there were differences of noise pollution before and during COVID-19 in Taiwan. Meanwhile, the decreased noise pollution in Taiwan can improve quality of life.
An Ex Ante Analysis of the Planned Transportation Network in the Region of Extremadura (Spain) by Using Physical Parameters
Authors: Plasencia-Lozano Pedro
Published: May 2021

Some relevant transport infrastructures are expected to be built in Extremadura, a Spanish region. Future investments could transform the regional transportation system and therefore could act as an important lever for economic and social change. The text describes the current situation and also the planned infrastructures, and an ex ante study is developed. The research has set the deficiencies of Extremadura in terms of transportation network, but current planning proves that the rail and airport infrastructures in Extremadura are set to involve a significant change of model. Moreover, the importance of taking into consideration the transport planning documents of neighboring countries in the transport analysis of bordering regions and the negative consequence of designing national and regional transport plans without considering the neighboring plans have been described.
Rise of a New Sustainable Urban Mobility Planning Paradigm in Local Governance: Does the SUMP Make a Difference?
Authors: Jordová Radomíra , Brůhová-Foltýnová Hana
Published: May 2021

The EU Green Deal sets challenging goals for cities, including a 90% reduction in Green House Gas (GHG) emissions from transport by 2050. This requires an integrated and coordinated approach to urban mobility planning, represented by Sustainable Urban Mobility Plans (SUMPs), and encouraged by European policies. However, the experience of cities with SUMPs varies substantially among the EU Member States. Using qualitative and quantitative methods of data analysis, this paper aims to explore the institutional settings, practices, and barriers to sustainable mobility in Czech cities and differences between cities with and without a SUMP. The data were collected using interviews and an online questionnaire survey among stakeholders who substantially influence the urban planning praxis. The data reveal that monitoring, evaluation, and public involvement are underestimated by analyzed cities and the perception of a need for a significant transport behavior change is still quite low among local politicians. A SUMP brings substantial benefits to Czech cities of all sizes, even in the initial phase of its implementation. The cities that have developed a SUMP apply various sustainable transport measures more often, create more participation activities, and are better at evaluation than cities without a SUMP.
Modeling Alternative Approaches to the Biodiversity Offsetting of Urban Expansion in the Grenoble Area (France): What Is the Role of Spatial Scales in ‘No Net Loss’ of Wetland Area and Function?
Authors: Vaissière Anne-Charlotte , Quétier Fabien , Bierry Adeline , Vannier Clémence , Baptist Florence , Lavorel Sandra
Published: May 2021

It is increasingly common for developers to be asked to manage the impacts of their projects on biodiversity by restoring other degraded habitats that are ecologically equivalent to those that are impacted. These measures, called biodiversity offsets, generally aim to achieve ‘no net loss’ (NNL) of biodiversity. Using spatially-explicit modeling, different options were compared in terms of their performance in offsetting the impacts on wetlands of the planned urban expansion around Grenoble (France). Two implementation models for offsetting were tested: (a) the widespread bespoke permittee-led restoration project model, resulting in a patchwork of restored wetlands, and (b) recently-established aggregated and anticipated “banking” approaches whereby larger sets of adjacent parcels offset the impacts of several projects. Two ecological equivalence methods for sizing offsets were simulated: (a) the historically-prevalent area-based approach and (b) recently introduced approaches whereby offsets are sized to ensure NNL of wetland functions. Simulations showed that a mix of functional methods with minimum area requirements was more likely to achieve NNL of wetland area and function across the study area and within each subwatershed. Our methodology can be used to test the carrying capacity of a landscape to support urban expansion and its associated offsetting in order to formulate more sustainable development plans.
Debt Sustainability: Can EU Member States Use Environmental Taxes to Regain Fiscal Space?
Authors: Țibulcă Ioana-Laura
Published: May 2021

The COVID-19 pandemic has taken its toll on the economies of the EU member states. While policymakers have been faced with rising government spending in an effort to combat the health crisis, this has led to unprecedented levels of government debt and budget deficits. Debt sustainability has been severely affected by decreasing fiscal space, and there are significant concerns that a debt crisis is looming on the horizon for the EU. The current study aims to analyze environmental taxes as a potential solution for rebuilding fiscal space and thus improving debt sustainability in the EU. The research method used to study the impact that the four types of environmental taxes may have on fiscal space is the dynamic panel regression model, estimated using the Generalized Method of Moments (GMM). The conclusions show that all four categories of environmental taxes can help the EU member states regain fiscal space and improve their debt sustainability. The research results show that the strongest positive impact on fiscal space will be achieved by energy taxes and transport taxes.
Creative Mural Landscapes, Building Communities and Resilience in Uruguayan Tourism
Authors: Martínez-Carazo Eva-María , Santamarina-Campos Virginia , de-Miguel-Molina María
Published: May 2021

The purpose of this research was to analyze open-air mural painting museums in Uruguay as a model of tourism resilience, sustainability, and social development, being one of the first Latin American examples to demonstrate the ability to adapt to change and overcome external shocks through the creation of creative community landscapes. To do so, documentary research, photographic documentation, and field research were carried out in order to explore the opportunities of mural tourism in small locations in Uruguay. In the nineties, a new type of artistic production was created in Uruguay, initially characterized by its decentralization. This was somewhat of a revolution in the muralist field as, until this time, Montevideo had been the center of cultural tradition, considered the intellectual focus of the country, and had concentrated the largest number of murals. For this reason, the birth of new muralist nuclei in small rural enclaves, which traditionally had not had much access to culture and no link to muralism, is remarkable. Secondly, this new movement sought to diversify economic activity given the consequences of the severe economic crises and environmental catastrophes that were and are still prevalent in these areas. Therefore, these new creative landscapes were conceived as important examples of the resilience of cultural tourist destinations. The results emphasize that, until now, the idea of giving muralism a new use as a tool for local economic development had not been envisaged with reference to mural art in Uruguay. This new rethinking has given rise to the so-called Regionalization Processes of Uruguayan wall production. The most relevant cases are those developed in the municipalities of San Gregorio de Polanco (1993), Rosario (1994), and Pan de Azúcar (1998).
Agricultural Heritage Landscapes of Greece: Three Case Studies and Strategic Steps towards Their Acknowledgement, Conservation and Management
Authors: Gkoltsiou Aikaterini , Athanasiadou Eleni , Paraskevopoulou Angeliki T.
Published: May 2021

United Nation Sustainable Development Goals (SDGs), the European Green Deal and the new Common Agricultural Policy (CAP) are legislative proposals counting on rural and agricultural landscapes to assist climate change mitigation, ecosystem services and preservation of heritage. Agricultural landscapes take up more than 10% of the earth’s land surface (1.5 billion ha), presenting a continuous field of interaction between man and nature, shaping the earth’s epidermis since antiquity. The Mediterranean basin is one of the most evident places on earth exhibiting this relationship, between the anthropogenic and the natural, hosting lands of enormous ecological, economic and cultural value. With Greece’s economy being based largely on agriculture in the past, traditional Greek agricultural landscapes present great socio-cultural importance; those landscapes, managed appropriately, could dynamically help combat climate issues, continue to provide services of high value and also present local character, tradition and culture. Yet, the acknowledgement of agricultural heritage, the creation of mixed productive socio-ecological profiles and the realization of governance schemes towards agricultural connections, such as linking traditional agricultural practices to the wider anthropogenic, ecological and recreational services, are in their infancy for many countries worldwide, including Greece. Landscape heritage is considered as important as archaeological and architectural heritage. In this paper, three examples of high importance Agricultural Heritage Landscapes (AHLs) are presented: the masticulture in Chios island; the black (Corinthian) raisin vineyards in Aigialeia (Egialia), Peloponnese; and the olive groves of Thassos island. Their importance is analyzed and strategic steps towards their acknowledgement, conservation and appropriate management are presented.
Reduction of CO2 Emissions in Steelmaking by Means of Utilization of Steel Plant Waste Heat to Stabilize Seasonal Cooling Water Temperature
Authors: Mauder Tomas , Brezina Michal
Published: May 2021

Production of overall CO2 emissions has exhibited a significant reduction in almost every industry in the last decades. The steelmaking industry is still one of the most significant producers of CO2 emissions worldwide. The processes and facilities used at steel plants, such as the blast furnace and the electric arc furnace, generate a large amount of waste heat, which can be recovered and meaningfully used. Another way to reduce CO2 emissions is to reduce the number of low-quality steel products which, due to poor final quality, need to be scrapped. Steel product quality is strongly dependent on the continuous casting process where the molten steel is converted into solid semifinished products such as slabs, blooms, or billets. It was observed that the crack formation can be affected by the water cooling temperature used for spray cooling which varies during the year. Therefore, a proper determination of the cooling water temperature can prevent the occurrence of steel defects. The main idea is based on the utilization of the waste heat inside the steel plant for preheating the cooling water used for spray cooling in the Continuous Casting (CC) process in terms of water temperature stabilization. This approach can improve the quality of steel and contribute to the reduction of greenhouse gas emissions. The results show that, in the case of billet casting, a reduction in the cooling water consumption can be also reached. The presented tools for achieving these goals are based on laboratory experiments and on advanced numerical simulations of the casting process.
What Is Design for Social Sustainability? A Systematic Literature Review for Designers of Product-Service Systems
Authors: Corsini Lucia , Moultrie James
Published: May 2021

Social sustainability is concerned with the wellbeing and flourishing of societies now and in the future. Despite its importance, it has been largely overlooked compared with environmental and economic dimensions of sustainability. Additionally, although there is a longstanding history of design being used to tackle social and sustainability problems, the concept of design for social sustainability is not well-understood. In light of this, the current study aims to conceptually develop design for social sustainability. It specifically focuses on how this concept can be developed for the design of product-service systems. A systematic literature review of social design and sustainable design literature is conducted to synthesise fragmented knowledge on design for social sustainability. A total of 69 articles are analysed with respect to terminology, context, methods, focus and key themes. In doing so, it helps to summarise current knowledge and identify several promising areas for further research. In particular, it calls for additional contextual and place-based perspectives; development of appropriate metrics, methods and tools; and research on the linkages between design for social sustainability and existing sustainable design approaches and methods. This article contributes to knowledge in three ways: (1) it integrates disparate knowledge on design for social sustainability within the domain of product-service systems, (2) it defines design for social sustainability and makes progress toward operationalising the concept by identifying its key dimensions, and (3) it identifies current gaps in the literature and highlights areas for further research. This study is important for designers of product-service systems because it sheds a light on what is desirable and achievable.
Changes in the Intestinal Histomorphometry, the Expression of Intestinal Tight Junction Proteins, and the Bone Structure and Liver of Pre-Laying Hens Following Oral Administration of Fumonisins for 21 Days
Authors: Tomaszewska Ewa , Rudyk Halyna , Dobrowolski Piotr , Donaldson Janine , Świetlicka Izabela , Puzio Iwona , Kamiński Daniel , Wiącek Dariusz , Kushnir Volodymyr , Brezvyn Oksana , Muzyka Viktor , Doraczyńska Renata , Muszyński Siemowit , Kotsyumbas Ihor
Published: May 2021

Fumonisins (FB) are metabolites found in cereal grains (including maize), crop products, and pelleted feed. There is a dearth of information concerning the effects of FB intoxication on the intestinal histomorphometry, the expression of intestinal tight junction proteins, and the bone structure and liver in pre-laying hens. The current experiment was carried out on hens from the 11th to the 14th week of age. The hens were orally administered an extract containing fumonisin B1 (FB1) and fumonisin B2 (FB2) at doses of 0.0 mg/kg b.w. (body weight), 1.0 mg/kg b.w., 4.0 mg/kg b.w., and 10.9 mg/kg b.w. for 21 days. Following FB intoxication, the epithelial integrity of the duodenum and jejunum was disrupted, and dose-dependent degenerative changes were observed in liver. An increased content of immature collagen was observed in the bone tissue of FB-intoxicated birds, indicating intensified bone turnover. A similar effect was observed with regards to the articular cartilage, where enhanced fibrillogenesis was observed mainly in the group of birds that received the FB extract at a dose of 10.9 mg/kg b.w. In conclusion, FB intoxication resulted in negative structural changes in the bone tissue of the hens, which could result in worsened bone mechanics and an increase in the risk of bone fractures. Fumonisin administration, even at a dose of 1.0 mg/kg b.w., can lead to degradation of the intestinal barrier and predispose hens to intestinal disturbances later in life.
Production and Selectivity of Key Fusarubins from Fusarium solani due to Media Composition
Authors: Kristensen Sebastian Birkedal , Pedersen Tobias Bruun , Nielsen Mikkel Rank , Wimmer Reinhard , Muff Jens , Sørensen Jens Laurids
Published: May 2021

Natural products display a large structural variation and different uses within a broad spectrum of industries. In this study, we investigate the influence of carbohydrates and nitrogen sources on the production and selectivity of production of four different polyketides produced by Fusarium solani, fusarubin, javanicin, bostrycoidin and anhydrofusarubin. We introduce four different carbohydrates and two types of nitrogen sources. Hereafter, a full factorial design was applied using combinations of three levels of sucrose and three levels of the two types of nitrogen. Each combination displayed different selectivity and production yields for all the compounds of interest. Response surface design was utilized to investigate possible maximum yields for the surrounding combinations of media. It was also shown that the maximum yields were not always the ones illustrating high selectivity, which is an important factor for making purification steps easier. We visualized the production over time for one of the media types, illustrating high yields and selectivity.
The Protein Toxins Ricin and Shiga Toxin as Tools to Explore Cellular Mechanisms of Internalization and Intracellular Transport
Authors: Sandvig Kirsten , Kavaliauskiene Simona , Skotland Tore
Published: May 2021

Protein toxins secreted by bacteria and found in plants can be threats to human health. However, their extreme toxicity can also be exploited in different ways, e.g., to produce hybrid toxins directed against cancer cells and to study transport mechanisms in cells. Investigations during the last decades have shown how powerful these molecules are as tools in cell biological research. Here, we first present a partly historical overview, with emphasis on Shiga toxin and ricin, of how such toxins have been used to characterize processes and proteins of importance for their trafficking. In the second half of the article, we describe how one can now use toxins to investigate the role of lipid classes for intracellular transport. In recent years, it has become possible to quantify hundreds of lipid species using mass spectrometry analysis. Thus, it is also now possible to explore the importance of lipid species in intracellular transport. The detailed analyses of changes in lipids seen under conditions of inhibited toxin transport reveal previously unknown connections between syntheses of lipid classes and demonstrate the ability of cells to compensate under given conditions.
Human Astrovirus 1–8 Seroprevalence Evaluation in a United States Adult Population
Authors: Meyer Lena , Delgado-Cunningham Kevin , Lorig-Roach Nicholas , Ford Jordan , DuBois Rebecca M.
Published: May 2021

Human astroviruses are an important cause of viral gastroenteritis globally, yet few studies have investigated the serostatus of adults to establish rates of previous infection. Here, we applied biolayer interferometry immunosorbent assay (BLI-ISA), a recently developed serosurveillance technique, to measure the presence of blood plasma IgG antibodies directed towards the human astrovirus capsid spikes from serotypes 1–8 in a cross-sectional sample of a United States adult population. The seroprevalence rates of IgG antibodies were 73% for human astrovirus serotype 1, 62% for serotype 3, 52% for serotype 4, 29% for serotype 5, 27% for serotype 8, 22% for serotype 2, 8% for serotype 6, and 8% for serotype 7. Notably, seroprevalence rates for capsid spike antigens correlate with neutralizing antibody rates determined previously. This work is the first seroprevalence study evaluating all eight classical human astrovirus serotypes.
Hepatitis C Virus Epitope Immunodominance and B Cell Repertoire Diversity
Authors: Brasher Nicholas A. , Adhikari Anurag , Lloyd Andrew R. , Tedla Nicodemus , Bull Rowena A.
Published: May 2021

Despite the advent of effective, curative treatments for hepatitis C virus (HCV), a preventative vaccine remains essential for the global elimination of HCV. It is now clear that the induction of broadly neutralising antibodies (bNAbs) is essential for the rational design of such a vaccine. This review details the current understanding of epitopes on the HCV envelope, characterising the potency, breadth and immunodominance of antibodies induced against these epitopes, as well as describing the interactions between B-cell receptors and HCV infection, with a particular focus on bNAb heavy and light chain variable gene usage. Additionally, we consider the importance of a public repertoire for antibodies against HCV, compiling current knowledge and suggesting that further research in this area may be critical to the rational design of an effective HCV vaccine.
Microalgal-Bacterial Granular Sludge Process in Non-Aerated Municipal Wastewater Treatment under Natural Day-Night Conditions: Performance and Microbial Community
Authors: Wang Shulian , Zhu Lin , Ji Bin , Hou Huan , Ma Yingqun
Published: May 2021

The microalgal-bacterial granular sludge (MBGS) process is expected to meet the future requirements of municipal wastewater treatment technology for decontamination, energy consumption, carbon emission and resource recovery. However, little research on the performance of the MBGS process in outdoor treatment was reported. This study investigated the performance of the MBGS system in treating municipal wastewater under natural alternate day and night conditions in late autumn. The results showed that the average removal efficiencies of Chemical oxygen demand (COD), NH4+-N and PO43−-P on daytime before cooling (stage I, day 1−4) could reach 59.9% ± 6.8%, 78.1% ± 7.9% and 61.5% ± 4.5%, respectively, while the corresponding average removal efficiencies at night were 47.6% ± 8.0%, 56.5% ± 17.9% and 74.2% ± 7.6%, respectively. Due to the dramatic changes in environmental temperature and light intensity, the microbial biomass and system stability was affected with fluctuation in COD and PO43−-P removal. In addition, the relative abundance of filamentous microorganisms (i.e., Clostridia and Anaerolineae) decreased, while Chlorella maintained a dominant position in the eukaryotic community (i.e., relative abundance > 99%). This study can provide a theoretical basis and technical support for the further engineering application of the MBGS process.
Comparative Analysis of Runoff and Evaporation Assessment Methods to Evaluate Wetland–Groundwater Interaction in Mediterranean Evaporitic-Karst Aquatic Ecosystem
Authors: Gil-Márquez José Manuel , Andreo Bartolomé , Mudarra Matías
Published: May 2021

This work compares the applicability of several free-surface evaporation and runoff equations in simulating water level variations of small Mediterranean wetlands. The Amarga and Jarales wetland are two pilot sites with an evaporite-karst genesis located in southern Spain. The water level was continuously recorded in both wetlands, and exhaustive weather monitoring was performed. The combined datasets have permitted quantification of the surficial elements of their water budget (precipitation, runoff, and evaporation). Several campaigns of groundwater level measurements were also done to characterize the direction of groundwater flows. The morphometrical analysis of the Jarales wetland was accurately performed based on a LiDAR dataset. A total of 225 limnimetric simulations of the Jarales (90) and Amarga (135) wetlands were performed, combining different evaporation and runoff equations. During the study period, the curve number method, coupled with the Penman equation, reached the Jarales wetland’s best calibrations. The Vardavas–Fountoulakis modification of the Penman model fit better with the Amarga wetland record. The obtained results permit specification of the water budget of both wetlands during several years and confirm that the groundwater–surface water relationship affects the wetland hydric dynamic to different degrees. Nonetheless, the limnimetric models were calibrated for a short period, including dry years, making it necessary to extend the control period longer and validate the models under different hydroclimatic conditions. Finally, the differences between wetland functioning are explained in a conceptual hydrological model that can be useful for wetland conservation and management of related aquatic ecosystems. The understanding of the origin and fate of water in wetlands permits assessment of how future scenarios would affect hydric functioning and suggests adequate conservation measurements.
A GIS-Based Hydrological Modeling Approach for Rapid Urban Flood Hazard Assessment
Authors: Zhou Qianqian , Su Jiongheng , Arnbjerg-Nielsen Karsten , Ren Yi , Luo Jinhua , Ye Zijian , Feng Junman
Published: May 2021

Urban floods are detrimental to societies, and flood mapping techniques provide essential support for decision-making on the better management of flood risks. This study presents a GIS-based flood characterization methodology for the rapid and efficient identification of urban flood-prone areas, which is especially relevant for large-scale flood hazards and emergency assessments for data-scarce studies. The results suggested that optimal flood mapping was achieved by adopting the median values of the thresholds for local depression extraction, the topographic wetness index (TWI) and aggregation analyses. This study showed the constraints of the depression extraction and TWI methods and proposed a methodology to improve the performance. A new performance indicator was further introduced to improve the evaluation ability of hazard mapping. It was shown that the developed methodology has a much lower demand on the data and computation efforts in comparison to the traditional two-dimensional models and, meanwhile, provides relatively accurate and robust assessments of flood hazards.
Optimal Calibration of Evaporation Models against Penman–Monteith Equation
Authors: Dlouhá Dagmar , Dubovský Viktor , Pospíšil Lukáš
Published: May 2021

We present an approach for the calibration of simplified evaporation model parameters based on the optimization of parameters against the most complex model for evaporation estimation, i.e., the Penman–Monteith equation. This model computes the evaporation from several input quantities, such as air temperature, wind speed, heat storage, net radiation etc. However, sometimes all these values are not available, therefore we must use simplified models. Our interest in free water surface evaporation is given by the need for ongoing hydric reclamation of the former Ležáky–Most quarry, i.e., the ongoing restoration of the land that has been mined to a natural and economically usable state. For emerging pit lakes, the prediction of evaporation and the level of water plays a crucial role. We examine the methodology on several popular models and standard statistical measures. The presented approach can be applied in a general model calibration process subject to any theoretical or measured evaporation.
Perspectives on Sustainable Pesticide Control in Brazil
Authors: Langenbach Tomaz , Caldas Luiz , De Campos Tácio , Correia Fábio , Lorenz Nelson , Marinho Daniele , Mano Denise , Meirelles Luiz , Oliveira Manildo , Parente Claudio , Torres João , Vicente Leonardo , Vieira Eliana
Published: May 2021

If the current policy explores the utilization of active ingredients in use quickly and to the maximum, the same does not occur with the ban on the registration of products highly dangerous to both health and the environment. The current policy does not aim at reducing pesticide toxicity and ecotoxicity, required to reduce environmental contamination and human exposure. To this end, it is essential to adjust scientific evaluation parameters concerning lower concentration tolerance limits to modernity standards, in addition to banning products for which there is scientific evidence of carcinogenic, teratogenic, and mutagenic actions. In ecotoxicology, reducing the applicable concentration limits is paramount for preserving bees, birds, and other forms of domestic and wildlife. When evaluating active ingredients, it is imperative to prioritize more biodegradable molecules with low potential for environmental mobilization through volatilization and leaching, preserving both air and water quality. Another goal, among others, is a program for the generalized reduction of successfully implemented in several countries. Brazil, a tropical agriculture leader, should stand out by incorporating sustainability while preserving both health and the environment.
Combining heritage and spirit of innovation
Authors: KARCHAEV Kharun Zh. , PRIMAKOV Pavel V. , GALICH Natalia V.
Published: May 2021

The paper provides an overview of the main activities of JSC NPO Lavochkin from the 30s of the last century till present, and also a description of promising projects. Diversified programs for development and production of space complexes for scientific investigations of deep and adjacent space objects are presented. For the 75th anniversary of the foundation of RSC Energia, touchpoints between the veteran space enterprises are discussed. Consideration is given to the issue of transferring the lunar and planetary subject of OKB-1 to the team of S.A. Lavochkin machine-building plant and assigning Georgy Nikolaevich Babakin to a position of the chief designer. The tasks being solved by spacecraft and the ways of their implementation are briefly analyzed. The near-term prospects of national and international space programs are outlined.
Keywords: Lavochkin, Babakin, Luna, Venera, Mars series spacecraft, astrophysical observatories, hydrometeorological spacecraft, Fregat upper stage.
The Strength of Structural Diversity in Online Social Networks
Authors: Zhang Yafei , Wang Lin , Zhu Jonathan J. H. , Wang Xiaofan , Pentland Alex ‘Sandy’
Published: May 2021

Understanding the way individuals are interconnected in social networks is of prime significance to predict their collective outcomes. Leveraging a large-scale dataset from a knowledge-sharing website, this paper presents an exploratory investigation of the way to depict structural diversity in directed networks and how it can be utilized to predict one’s online social reputation. To capture the structural diversity of an individual, we first consider the number of weakly and strongly connected components in one’s contact neighborhood and further take the coexposure network of social neighbors into consideration. We show empirical evidence that the structural diversity of an individual is able to provide valuable insights to predict personal online social reputation, and the inclusion of a coexposure network provides an additional ingredient to achieve that goal. After synthetically controlling several possible confounding factors through matching experiments, structural diversity still plays a nonnegligible role in the prediction of personal online social reputation. Our work constitutes one of the first attempts to empirically study structural diversity in directed networks and has practical implications for a range of domains, such as social influence and collective intelligence studies.