bluuebunny/crossref_metadata_2025 huggingface dataset:
The Inventory of Pollutants Hazardous to the Health of Living Organisms, Emitted by Road Transport in Poland between 1990 and 2017
Authors: Bebkiewicz Katarzyna , Chłopek Zdzisław , Lasocki Jakub , Szczepański Krystian , Zimakowska-Laskowska Magdalena
Published: July 2020

The paper provides the results of the inventory of pollutants hazardous to the health of living organisms, emitted by road transport in Poland between 1990 and 2017. For estimating pollutant emissions from road transport, a standardized methodology was applied, consistent with the guidance of EEA/EMEP Emission Inventory Guidebook 2019 and the COPERT 5 software. The following substances were analyzed: carbon monoxide (CO), non-methane volatile organic compounds (NMVOC), nitrogen oxides (NOx) and particulate matter size fractions (total suspended particles—TSP, PM10, PM2.5). For the pollutants, emission values averaged over the distance travelled by the road fleet (average specific distance emission) were determined. The results obtained indicated that between 1990 and 2017 the annual pollutant emissions from road vehicles in Poland had an increasing trend concerning TSP (74%), PM10 (64%), PM2.5 (52%) and NOx (25%), while the corresponding emissions had a decreasing trend for CO (−117%) and NMVOC (−85%). However, a clear downward trend was found for the average specific distance emissions of all substances throughout the subsequent inventory years: TSP (−28%), PM10 (−100%), PM2.5 (−91%), NOx (−84%), CO (−208%) and NMVOC (−173%), which is due to the dynamic progress in the technological advancement of road vehicles.
On the Unbalanced Atmospheric Environmental Performance of Major Cities in China
Authors: Choi Yongrok , Yang Fan , Lee Hyoungsuk
Published: July 2020

As the largest emitter of CO2, China has also serious air pollution issues. Is it possible to catch these two rabbits under heterogenetic conditions of urbanization? To answer this, this study examines atmospheric environmental performance (SO2, NOx, and PMs) of 30 major cities in China using streaming data from 2011 to 2017. A non-radial SBM-DEA approach is adopted with a meta-frontier model to evaluate regional heterogeneity in atmospheric environmental management. Our results suggest that pollution prevention and regulation policies encouraged synergic development of most cities in the economy and atmospheric environment. On average, atmospheric environmental efficiency of the cities improved from 0.556 to 0.691. However, significantly unbalanced development exists in the regions, requiring customized policies. Eastern cities achieved continuing improvement owing to stringent air pollutant emission policies. Central cities showed a strong improvement but lacked momentum after they achieved certain targets. Western cities lagged behind in the studying period due to both technology gap as well as weak regulation. Furthermore, we identify heterogeneous paths for inefficient cities to enhance their performance using benchmark information. Economically developed eastern cities, such as Beijing, Fuzhou, are facing an over-supply issue. Reshaping their economic structure may be necessary to attain better environmental performance. Central cities face diversified issues. The emphasis of different cities may vary from stringent emission policies to proactive supply-side transition to achieve strong atmospheric management performance. For under-developed cities, preferential policies for investment and tax incentives may be needed to improve their production scale for higher efficiency.
Social Network Addiction and Its Impact on Anxiety Level among University Students
Authors: Lozano Blasco Raquel , Latorre Cosculluela Cecilia , Quílez Robres Alberto
Published: July 2020

Despite the obvious favorable effects of social networking sites, there is a risk of developing behavioral addictions. This study aims to analyze addiction to social networks and its relationship with anxiety. A sample (n = 361) of university students (undergraduate, master’s and doctoral) comprising 87.5% women and 12.5% men with a mean age of 32.58 (SD = 12.03) and 32.36 (SD = 10.21), respectively, was included. Addiction to social networks was measured using the Social Network Addiction (SNA) questionnaire and anxiety was measured using Spanish adaptation of the Beck Anxiety Inventory (BAI Test). The regression results show how concurrent moderating variables such as age (adulthood) predispose individuals to addiction in some way (Model 5, explained 13.5%, R2= 0.135, p = 0.040). Similarly, we found that the aspect of addiction that generates anxiety is an obsession with social networks. Anxiety arises as excessive use decreases, similar to abstinence syndrome. It is concluded that the harmlessness of social networks and their inappropriate use can lead to behavioral addiction.
Dietary Fiber from Underutilized Plant Resources—A Positive Approach for Valorization of Fruit and Vegetable Wastes
Authors: Hussain Shehzad , Jõudu Ivi , Bhat Rajeev
Published: July 2020

Agri-food industries generate enormous amounts of fruit and vegetable processing wastes, which opens up an important research area aimed towards minimizing and managing them efficiently to support zero wastes and/or circular economy concept. These wastes remain underutilized owing to a lack of appropriate processing technologies vital for their efficient valorization, especially for recovery of health beneficial bioactives like dietary fibers. Dietary fiber finds wide applications in food and pharmaceutical industries and holds high promise as a potential food additive and/or as a functional food ingredient to meet the techno-functional purposes important for developing health-promoting value-added products. Based on this, the present review has been designed to support ‘zero waste’ and ‘waste to wealth’ concepts. In addition, the focus revolves around providing updated information on various sustainability challenges incurred towards valorization of fruit and vegetable wastes for extraction of health promoting dietary fibers.
Smart Digital Marketing Capabilities for Sustainable Property Development: A Case of Malaysia
Authors: Low Sheen , Ullah Fahim , Shirowzhan Sara , Sepasgozar Samad M. E. , Lin Lee Chyi
Published: July 2020

Digital tools and marketing have been widely adopted in various industries throughout the world. These tools have enabled companies to obtain real-time customer insights and create and communicate value to customers more effectively. This study aims at understanding the principles and practices of sustainable digital marketing in the Malaysian property development industry by investigating the extent to which digital marketing has been adopted, the impediments to its adoption, and the strategies to improve digital capabilities for the local context. Digital marketing theories, practices, and models from other industries are adopted and applied to the local property development industry to lay the foundation for making it smart and sustainable. This paper proposes a marketing technology acceptance model (MTAM) for digital marketing strategy and capability development. The key factors used in the model are ease of use, perceived usefulness, perceived cost, higher return, efficiency, digital service quality, digital information quality, digital system quality, attitude towards use, and actual use. The model and hypothetical relationships of critical factors are tested using structural modeling, reliability, and validity techniques using a sample of 279 Malaysian property development sector representatives. A quantitative approach is adopted, using an online questionnaire tool to investigate the behavior of respondents on the current digital marketing practices and capabilities of Malaysian property development companies. The results show that the sample property development companies are driven by the benefit of easily obtaining real-time customer information for creating and communicating value to customers more effectively through the company brand. Further strategies, such as creating real-time interactions, creating key performance indicators to measure digital marketing, personalization, and encouraging innovation in digital marketing are most preferred by local professionals. An adoption framework is provided based on the reviewed models and results of the current study to help transform the Malaysian property development sector into a smart and sustainable property development sector by facilitating the adoption of digital technologies. The results, based on real-time data and pertinent strategies for improvement of the local property sector, are expected to pave the way for inducing sustainable digital marketing trends, enhancing capabilities, and uplifting the state of the property development sector in developing countries.
A Real Option Approach to Sustainable Corporate Tax Behavior
Authors: Van de Vijver Anne , Cassimon Danny , Engelen Peter-Jan
Published: July 2020

Aggressive tax planning has become a sustainability problem, as governments have to cope with less tax revenue, which is crucial for investments in sustainable development goals. The OECD and the EU authorities have taken several initiatives against aggressive tax planning, such as the Action Plan against BEPS. However, these initiatives lack effectiveness, and aggressive tax planning is still omnipresent. We analyze the fight against aggressive corporate tax planning from a Real Option Theory perspective, in order to find an explanation for the difficult shift of companies’ aggressive tax planning strategies to more sustainable tax behavior. The Real Option Theory shows that, as long as the option to ‘delay’ the investment in sustainable tax behavior has too much value because the benefits of such investment are uncertain, companies will wait. Based on this new understanding, we suggest additional public policy interventions against aggressive tax planning. These interventions aim directly at reducing this real option value (of waiting).
Differential Effects of the Valence and Volume of Online Reviews on Customer Share of Visits: The Case of US Casual Dining Restaurant Brands
Authors: Baek Jooa , Choe Yeongbae
Published: July 2020

Online customer reviews increasingly influence customer purchase decisions. Indeed, many customers have highlighted the significance of online reviews as an influential source of information. This study reports an investigation of the differential effects of online reviews, such as valence and volume, on the customer share of visits. Our findings suggest that valence (i.e., star rating) had more effect, giving a higher average check size to restaurants on the share of visits, while number reviews (volume) did not drive the share of visits to restaurants regardless of the average check size. Therefore, the ideal for casual dining restaurant brands would be to manage highly positive ratings to retain their customers.
Biomass Growth and Its Control in the Process of Biofiltration of Air Contaminated with Xylene on a Biotrickling Column Filled with Expanded Clay
Authors: Turała Anita , Wieczorek Andrzej
Published: July 2020

Biofiltration of air polluted with xylene vapors was carried out for nearly two years in a large laboratory-scale installation with a volume of the bed of expanded clay equal to 32 dm3. During the experiment, different xylene inlet concentrations were applied, within the range from 300 to over 1500 mg/m3 at a linear gas flow rate of 0.008, 0.016, and 0.033 m/s, as well as 0.12 and 0.24 dm3 of medium dispensed every 3 h on top of the bed. The progress of the process was followed by measuring the xylene concentration at the inlet and outlet of the column, column mass, and gas flow resistance. The capability to purify air polluted with xylene with an average efficiency of approx. 90% was demonstrated. The process was interrupted by a significant increase in gas flow resistance, caused by a large growth of biomass, resulting in an increase in the mass of the bed by more than 45%. Both intensive rinsing of the bed with a stream of water, causing its fluidization, and rinsing and mixing after removing the bed from the column allowed to reduce flow resistance to a value close to the initial one. To ensure the supply of biogenic elements, it was necessary to periodically spray the bed with a solution of the medium in an amount of up to about 0.1 dm3/h/m3 of purified air.
The Effect of Emission Inventory on Modelling of Seasonal Exposure Metrics of Particulate Matter and Ozone with the WRF-Chem Model for Poland
Authors: Kryza Maciej , Werner Małgorzata , Dudek Justyna , Dore Anthony James
Published: July 2020

In Poland, high concentrations of particulate matter (with a diameter smaller than 2.5 or 10 μm) exceeding the WHO threshold values are often measured in winter, while ozone (O3) concentrations are high in spring. In winter high PM2.5 and PM10 concentrations are linked to high residential combustion and road transport. The main objective of this study was to assess performance of the Weather Research and Forecasting model with Chemistry (WRF-Chem) model in reproducing observations for a period of 2017-2018 covering various meteorological conditions. We compare modelled and observed exposure metrics for PM2.5, PM10 and O3 for two sets of the WRF-Chem model runs: with coarse and fine resolution emission inventory (European Monitoring and Evaluation Programme (EMEP) and Chief Inspectorate of Environmental Protection (CIEP), respectively). CIEP run reduces the negative bias of PM2.5 and PM10 and improves the model performance for number of days with exceedance of WHO (World Health Organization) threshold for PM2.5 and PM10 24-h mean concentration. High resolution emission inventory for primary aerosols helps to better distinguish polluted urban areas from non-urban ones. There are no large differences for the model performance for O3 and secondary inorganic aerosols, and high-resolution emission inventory does not improve the results in terms of 8-h rolling mean concentrations of ozone.
Implications of Low Carbon City Sustainability Strategies for 2050
Authors: Harris Steve , Weinzettel Jan , Levin Gregor
Published: July 2020

Cities and urban areas are critical nodes of societal resource flows, responsible for both global and local sustainability implications. They are complex systems and understanding the implications of potential actions by cities is critical for progress towards sustainability. In this paper the future implications of sustainability strategies are assessed for 10 European cities by comparing two scenarios for 2050: a business-as-usual (BAU) and a post-carbon/sustainability scenario (PC2050) (generated by city stakeholders). The effects of the scenarios are assessed using a mixed methodology: a semi-quantitative sustainability indicator analysis, energy and greenhouse gas (GHG) emissions (both production-based and consumption-based accounting (PBA and CBA)), land-use spatial modelling, and cost–benefit analysis. The paper highlights the clear benefits of PC2050 with improved sustainability indicator results, reduced land sprawl (which averages 16% in BAU) and positive cost–benefit results. Nonetheless, inequality and segregation are a common concern. In addition, whilst PBA indicates a significant decrease (average decrease from 4.7 to 1.3 tCO2eq per capita) CBA demonstrates rising overall emissions from an average of 11 to 14.8 tCO2eq per capita. This is linked to rising affluence and consumption trends despite local improvements in GHG emissions, which highlights a need for cities to address consumption-based emissions.
Analyzing the Business Case for Hydrogen-Fuel Infrastructure Investments with Endogenous Demand in The Netherlands: A Real Options Approach
Authors: Li Ye , Kool Clemens , Engelen Peter-Jan
Published: July 2020

This paper explicitly incorporated the impact that realized investments in new transportation infrastructure have on adoption speed in a real option framework for taking sustainable investment decisions under uncertainty and analyzed the consequences of this dependence for optimal business investment strategies. We used a modified Generalized Bass Model to shape the adoption diffusion process and incorporate this approach into an N-fold compound real option framework. We applied the combined model to the case study of the introduction of hydrogen fuel stations for hydrogen cars in the Netherlands. We performed a scenario analysis for six different transportation infrastructure investment strategies combined with four different parameterizations. The results show the risk of ignoring the potential interaction between the adoption process and the speed with which the required transportation infrastructure will become available. This may lead to suboptimal decisions with respect to the optimal timing of corporate investment spending, as well as with respect to the assessment of the overall feasibility of the project.
Buckling Failure Mechanism of a Rock Dam Foundation Fractured by Gentle Through-Going and Steep Structural Discontinuities
Authors: Chen Donghui , Chen Huie , Zhang Wen , Tan Chun , Ma Zhifa , Chen Jianye , Shan Bo
Published: July 2020

The failure mechanism analysis of dam foundations is key for designing hydropower stations. This study analyses the rock masses in a sluice section, which is an important part of the main dam of the Datengxia Hydropower Station currently built in China. The stability of the sluice rock masses is predominantly affected by gentle through-going soft interlayers and steep structural fractures. Its foundation failure mechanism is investigated by means of a numerical method, i.e., Universal Distinct Element Code (UDEC) and the geomechanical model method. The modeling principle and process, and results for the rock dam foundation are introduced and generated by using the abovementioned two methods. The results indicate that the failure mechanism of the foundation rock masses, as characterized by gentle through-going and steep structural discontinuities, is not a conventional type of shear failure mechanism but a buckling one. This type of failure mechanism is verified by analyzing the deformation features resulting from the overloading of both methods and strength reduction of the numerical method.
Performance Evaluation of Hybrid Air Purification System with Vegetation Soil and Electrostatic Precipitator Filters
Authors: Elkamhawy Aya , Jang Choon-Man
Published: July 2020

This paper describes designing, manufacturing, and evaluating an eco-friendly modular-type air purification system to enhance the removal efficiency of fine particulate matter (PM) in urban public spaces, especially in hotspots. This system consists of artificial soil based-vegetation and electrostatic precipitator (ESP) filters. Unlike the so-called passive removal method, which adsorbs fine PM only by the leaves of plants, the vegetation soil filter based on multi-layered different artificial soils adopts an active removal method in which air purification is performed in the soil itself, bypassing external air by using the air circulation fan in the soil. The ESP filter is designed and evaluated to have a high fine PM removal efficiency, even at high suction velocity, to remove large amounts of outdoor fine PM. Throughout the experimental measurements on the hybrid air purification system with vegetation soil and ESP filters, it is observed that the vegetation soil filter has a 78.5% reduction efficiency for PM2.5 and a 47% for PM10 at the inlet air velocity of 0.15 m/s. The ESP filter also has a 73.1% reduction efficiency for PM2.5 and 87.3% for PM10 at an inlet air velocity of 3 m/s. Based on the performance evaluations of the vegetation soil filter and the ESP filter, it is noted that each individual module will be applied to an air purification tower with vertical expansion and installed in a high concentration area of fine PM in a downtown area to contribute to the fine PM reduction in the community.
Convergences between the Social and Solidarity Economy and Sustainable Development Goals: Case Study in the Basque Country
Authors: Villalba-Eguiluz Unai , Egia-Olaizola Andoni , Pérez de Mendiguren Juan Carlos
Published: July 2020

This article analyzes the potential of the social and solidarity economy (SSE) to foster the sustainable development goals (SDGs). Local public policies play an important role in supporting both the SSE and SDGs. We select a case study of four SSE projects of a local development agency in the Basque Country, where the SSE has a considerable presence through diverse forms and experiences. We address how these projects, which are implemented in a coordinated and transversal manner, contribute to many specific targets within SDG goals number 8 (growth and decent work), 12 (sustainable consumption and production patterns), and 5 (gender equity). However, some limitations have also been identified: (i) trade-offs, in both SSE and SDGs, between economic growth and other aims centered on environmental sustainability; and (ii) avoidance of handling issues, which limits a systemic transformation.
Is Romania Prepared for eLearning during the COVID-19 Pandemic?
Authors: Edelhauser Eduard , Lupu-Dima Lucian
Published: July 2020

Today, Romanian universities largely have eLearning platforms generally based on the most popular Moodle-LMS platform or on the most popular collaborative educational platforms designed by Microsoft and Google, which contain mail group modules, virtual classes, video conferencing, presentation and testing. In the context of the pandemic generated by COVID-19, the authors tried to investigate the way in which Romanian society has managed to face this challenge in the field of education. The events followed one another very quickly, and the first thing that crashed was the medical system, quickly followed by the economic environment and then, obviously, education. The authors’ research methodology was based on the interpretation of the results of a questionnaire composed of 19 questions and applied to a population of 200 respondents. The survey period was only 24 h, between 29 April 2020 at 1 p.m. and 30 April 2020 at 1 p.m. The investigated population, the respondents, were students of the University of Petroșani undertaking bachelor and master studies for the academic year 2019–2020, but the study could be extrapolated to the Romanian education system.
Structure and Formation Mechanism of China-ASEAN Tourism Cooperation
Authors: Yin Jie , Bi Yahua , Ji Yingchao
Published: July 2020

Tourism cooperation is an essential element for tourism development in China-ASEAN countries and has made a significant economic contribution to destinations. This study investigates the structure of tourism cooperation in China-ASEAN relations and identifies a set of factors that affect tourism cooperation from a network perspective. By employing social network analysis, the results indicate that the scale of cooperation is small, and the efficiency is not high, although the restrictions on cooperation between countries are reduced. The findings also indicate that differences in the political system, security, population density, and language can promote tourism cooperation, while differences in governance, income, and consumption level impede tourism cooperation. The research results may assist China-ASEAN countries to formulate tourism strategies suitable for international cooperation and national differences.
Socio-Economic Transformations in Ukraine towards the Sustainable Development of Agriculture
Authors: Kravchenko Olha , Kucher Anatolii , Hełdak Maria , Kucher Lesia , Wysmułek Joanna
Published: July 2020

The social and economic conditions of all market participants are incentives and constraining factors influencing the levels of food, social, economic and ecologic security. The purpose of the article lies in the presentation of the author’s concept of the social and economic conditions where the transformation of economic relations between agrofood market participants is happening—in particular, the livestock products market of Ukraine—and the assessment of the state of food security of the country, as well as a comparison, by the same criteria, of the conditions of agrofood market participants in Ukraine and in four European countries: Germany, France, Italy, and Poland. This research was based on the application of empirical knowledge methods: observation, comparison, description, measurement, statistic methods, etc. So far, the participant functioning conditions in the agricultural market in Ukraine are unfavorable for the sustainable development of agriculture, especially the livestock industry. The debt burden of external creditors is growing, the amount of direct investments from the countries of the world decreases, and the growth of capital investment in terms of calculation per one employee is slowing down. The food security of Ukraine is unstable. The “market” itself is not capable of remedying all the negative phenomena. Therefore, it is necessary to apply the weighted power of the state.
Nitrogen Deficiency-Dependent Abiotic Stress Enhances Carotenoid Production in Indigenous Green Microalga Scenedesmus rubescens KNUA042, for Use as a Potential Resource of High Value Products
Authors: Jo Seung-Woo , Hong Ji Won , Do Jeong-Mi , Na Ho , Kim Jin-Ju , Park Seong-Im , Kim Young-Saeng , Kim Il-Sup , Yoon Ho-Sung
Published: July 2020

The microalgal strain Scenedesmus rubescens KNUA042 was identified in freshwater in Korea and characterized by evaluating its stress responses in an effort to increase lipid and carotenoid production. Under a two-stage cultivation process, the algal strain that generally exhibits optimal growth at a nitrate (source of nitrogen) concentration of 0.25 g L−1 was challenged to different exogenous stimuli—salinity (S), light intensity (L), combined L and S (LS), and nitrogen deficiency (C)—for 14 days. Lipid production and carotenoid concentration increased in a time-dependent manner under these physicochemical conditions during the culture periods. Lipid accumulation was confirmed by thin layer chromatography, BODIPY staining, and fatty acid composition analysis, which showed no differences in the algal cells tested under all four (C, S, L, and LS) conditions. The quality of biodiesel produced from the biomass of the algal cells met the American Society for Testing and Materials and the European standards. Total carotenoid content was increased in the LS-treated algal cells (6.94 mg L−1) compared with that in the C-, S-, and L-treated algal cells 1.75, 4.15, and 1.32 mg L−1, respectively). Accordingly, the concentration of canthaxanthin and astaxanthin was also maximized in the LS-treated algal cells at 1.73 and 1.11 mg g−1, respectively, whereas lutein showed no differences in the cells analyzed. Conversely, chlorophyll a level was similar among the C-, S-, and LS-treated algal cells, except for the L-treated algal cells. Thus, our results suggested that S. rubescens KNUA042 was capable of producing carotenoid molecules, which led to the maximum values of canthaxanthin and astaxanthin concentrations when exposed to the combined LS condition compared with that observed when exposed to the salinity condition alone. This indicates that the algal strain could be used for the production of high-value products as well as biofuel. Furthermore, this article provides the first evidence of carotenoid production in S. rubescens KNUA042.
Integrated Optimization of the Location–Inventory Problem of Maintenance Component Distribution for High-Speed Railway Operations
Authors: Zhang Dezhi , Yang Shuxin , Li Shuangyan , Fan Jiajun , Ji Bin
Published: July 2020

Sustainable distribution network design for the maintenance components of electric multiple units (EMUs) is critical to reduce the problem of unreasonable resource allocation and capital occupation of high-speed railway (HSR) operations. Motivated by the above analysis, this study investigates the integrated optimization of the location and inventory of EMU maintenance component distributions. Aiming to improve the sustainable operation for high-speed railway, we proposed a corresponding nonlinear mixed-integer programming model to determine the location of the distribution center (DC) for EMU maintenance component delivery, inventory control strategy, and corresponding service level. The above optimization model is solved by an adaptive improved genetic algorithm. The proposed model and algorithm are applied to a real-world case study on China’s EMU maintenance components. The findings show that a higher service level is not better to achieve the lower total cost in the maintenance component distribution network. The ratios of transportation modes are significant to balance the service level and total cost of the EMU distribution network. Furthermore, the unit out-of-stock cost and the service level both show great impacts on the total costs of the EMU distribution system. Finally, there exists an optimal ratio of different transport modes, which ensures the least total cost of the EMU distribution system.
Analysis of the Quality of the Employee–Bank Relationship in Urban and Rural Areas
Authors: Lekić Snežana , Vapa-Tankosić Jelena , Mandić Slavica , Rajaković-Mijailović Jasmina , Lekić Nemanja , Mijailović Jelena
Published: July 2020

Banking sector performance is directly related to the economic performance of the country. This research is an effort to establish the parameters of job satisfaction among bank employees and to ascertain whether there were differences in job satisfaction between employees in urban and rural branches. A randomly selected sample was made of bank employees in the Republic of Serbia. To date, the relative job satisfaction of bank employees in urban and rural areas has not been investigated, and for this reason, it is important to analyze the different facets of job satisfaction such as salaries, cooperation with closest associates, promotion, remuneration policy, cooperation and relationship with superiors, and the nature of the job. The bank employees’ satisfaction with their salaries has a major influence on total job satisfaction. Perceptions of teamwork effectiveness and its relationship to overall job satisfaction were analyzed. Team quality has the greatest influence on the bank employees’ job satisfaction. These insights can offer guidance for future action on building the quality of the employee–organization relationship.
Impacts of Cellulase and Amylase on Enzymatic Hydrolysis and Methane Production in the Anaerobic Digestion of Corn Straw
Authors: Wang Xuemei , Cheng Shikun , Li Zifu , Men Yu , Wu Jiajun
Published: July 2020

The impacts of enzyme pre-treatments on anaerobic digestion of lignocellulosic biomass were explored by using corn straw as a substrate for enzyme pre-treatment and anaerobic digestion and by utilizing starch and microcrystalline cellulose as substrates for comparative analysis. The cellulase pre-treatment effectively improved the enzymatic hydrolysis of cellulose, decreased the crystallinity, and consequently showed 33.2% increase in methane yield. The methane yield of starch increased by 16.0% through amylase pre-treatment. However, when the substrate was corn straw, both the efficiencies of enzymes and methane production were markedly reduced by the lignocellulosic structure. The corn straw’s methane yields were 277.6 and 242.4 mL·CH4/g·VS with cellulase and amylase pre-treatment, respectively, which was 11.7% and 27.9% higher than that of the untreated corn straw. It may imply that the lignocellulose should be broken up firstly, enzyme pre-treatments could have great potentials when combined with other methods.
Relativistic Fock Space Coupled Cluster Method for Many-Electron Systems: Non-Perturbative Account for Connected Triple Excitations
Authors: Oleynichenko Alexander V. , Zaitsevskii Andréi , Skripnikov Leonid V. , Eliav Ephraim
Published: July 2020

The Fock space relativistic coupled cluster method (FS-RCC) is one of the most promising tools of electronic structure modeling for atomic and molecular systems containing heavy nuclei. Until recently, capabilities of the FS-RCC method were severely restricted by the fact that only single and double excitations in the exponential parametrization of the wave operator were considered. We report the design and the first computer implementation of FS-RCC schemes with full and simplified non-perturbative account for triple excitations in the cluster operator. Numerical stability of the new computational scheme and thus its applicability to a wide variety of molecular electronic states is ensured using the dynamic shift technique combined with the extrapolation to zero-shift limit. Pilot applications to atomic (Tl, Pb) and molecular (TlH) systems reported in the paper indicate that the breakthrough in accuracy and predictive power of the electronic structure calculations for heavy-element compounds can be achieved. Moreover, the described approach can provide a firm basis for high-precision modeling of heavy molecular systems with several open shells, including actinide compounds.
Surface Modifications of Nanofillers for Carbon Dioxide Separation Nanocomposite Membrane
Authors: Goh Pei Sean , Wong Kar Chun , Yogarathinam Lukka Thuyavan , Ismail Ahmad Fauzi , Abdullah Mohd Sohaimi , Ng Be Cheer
Published: July 2020

CO2 separation is an important process for a wide spectrum of industries including petrochemical, refinery and coal-fired power plant industries. The membrane-based process is a promising operation for CO2 separation owing to its fundamental engineering and economic benefits over the conventionally used separation processes. Asymmetric polymer–inorganic nanocomposite membranes are endowed with interesting properties for gas separation processes. The presence of nanosized inorganic nanofiller has offered unprecedented opportunities to address the issues of conventionally used polymeric membranes. Surface modification of nanofillers has become an important strategy to address the shortcomings of nanocomposite membranes in terms of nanofiller agglomeration and poor dispersion and polymer–nanofiller incompatibility. In the context of CO2 gas separation, surface modification of nanofiller is also accomplished to render additional CO2 sorption capacity and facilitated transport properties. This article focuses on the current strategies employed for the surface modification of nanofillers used in the development of CO2 separation nanocomposite membranes. A review based on the recent progresses made in physical and chemical modifications of nanofiller using various techniques and modifying agents is presented. The effectiveness of each strategy and the correlation between the surface modified nanofiller and the CO2 separation performance of the resultant nanocomposite membranes are thoroughly discussed.
Second Gradient Electromagnetostatics: Electric Point Charge, Electrostatic and Magnetostatic Dipoles
Authors: Lazar Markus , Leck Jakob
Published: July 2020

In this paper, we study the theory of second gradient electromagnetostatics as the static version of second gradient electrodynamics. The theory of second gradient electrodynamics is a linear generalization of higher order of classical Maxwell electrodynamics whose Lagrangian is both Lorentz and U ( 1 ) -gauge invariant. Second gradient electromagnetostatics is a gradient field theory with up to second-order derivatives of the electromagnetic field strengths in the Lagrangian. Moreover, it possesses a weak nonlocality in space and gives a regularization based on higher-order partial differential equations. From the group theoretical point of view, in second gradient electromagnetostatics the (isotropic) constitutive relations involve an invariant scalar differential operator of fourth order in addition to scalar constitutive parameters. We investigate the classical static problems of an electric point charge, and electric and magnetic dipoles in the framework of second gradient electromagnetostatics, and we show that all the electromagnetic fields (potential, field strength, interaction energy, interaction force) are singularity-free, unlike the corresponding solutions in the classical Maxwell electromagnetism and in the Bopp–Podolsky theory. The theory of second gradient electromagnetostatics delivers a singularity-free electromagnetic field theory with weak spatial nonlocality.
Potentially Mistaking Enantiomers for Different Compounds Due to the Self-Induced Diastereomeric Anisochronism (SIDA) Phenomenon
Authors: Baumann Andreas , Wzorek Alicja , Soloshonok Vadim A. , Klika Karel D. , Miller Aubry K.
Published: July 2020

The NMR phenomenon of self-induced diastereomeric anisochronism (SIDA) was observed with an alcohol and an ester. The alcohol exhibited large concentration-dependent chemical shifts (δ’s), which initially led us to erroneously consider whether two enantiomers were in fact atropisomers. This highlights a potential complication for the analysis of chiral compounds due to SIDA, namely the misidentification of enantiomers. A heterochiral association preference for the alcohol in CDCl3 was determined by the intermolecular nuclear Overhauser effect (NOE) and diffusion measurements, the same preference as found in the solid state. The ester revealed more subtle effects, but concentration-dependent δ’s, observation of intermolecular NOE’s, as well as distinct signals for the two enantiomers in a scalemic sample all indicated the formation of associates. Intermolecular NOE and diffusion measurements indicated that homochiral association is slightly preferred over heterochiral association in CDCl3, thus masking association for enantiopure and racemic samples of equal concentration. As observed with the alcohol, heterochiral association was preferred for the ester in the solid state. The potential problems that SIDA can cause are highlighted and constitute a warning: Due care should be taken with respect to conditions, particularly the concentration, when measuring NMR spectra of chiral compounds. Scalemic samples of both the alcohol and the ester were found to exhibit the self-disproportionation of enantiomers (SDE) phenomenon by preparative TLC, the first report of SDE by preparative TLC.
Long-Range Correlations between Observables in a Model with Translational Invariance in Rapidity
Authors: Belokurova Svetlana , Vechernin Vladimir
Published: July 2020

We estimate the impact of the fixation of the total number of sources (quark–gluon strings) on the long-range rapidity correlations between different observables. In our approach this condition models the fixation of the collision centrality class, what is the usual practice in modern collider experiments, like Relativistic Heavy Ion Collider (RHIC), Large Hadron Collider (LHC) and so on. The estimates are obtained under the assumption of the translational invariance in rapidity, which is usually assumed in mid-rapidity region at high energies. Based on these assumptions, we are developing a technique for the analytical calculation of various average values of extensive and intense variables at high string densities on the transverse lattice, taking into account the effects of string fusion, leading to the formation of string clusters. Using this technique we calculate the asymptotes of the correlations coefficients both between the multiplicities and between the multiplicity and the event-mean transverse momentum of particles in two separated rapidity intervals. As a result, we found that fixing the total number of strings has a significant effect on the behavior of both types of correlations, especially in the case of a uniform distribution of strings in the transverse plane.
A Framework of Modeling Large-Scale Wireless Sensor Networks for Big Data Collection
Authors: Djedouboum Asside Christian , Ari Ado Adamou Abba , Gueroui Abdelhak Mourad , Mohamadou Alidou , Thiare Ousmane , Aliouat Zibouda
Published: July 2020

Large Scale Wireless Sensor Networks (LS-WSNs) are Wireless Sensor Networks (WSNs) composed of an impressive number of sensors, with inherent detection and processing capabilities, to be deployed over large areas of interest. The deployment of a very large number of diverse or similar sensors is certainly a common practice that aims to overcome frequent sensor failures and avoid any human intervention to replace them or recharge their batteries, to ensure the reliability of the network. However, in practice, the complexity of LS-WSNs pose significant challenges to ensuring quality communications in terms of symmetry of radio links and maximizing network life. In recent years, most of the proposed LS-WSN deployment techniques aim either to maximize network connectivity, increase coverage of the area of interest or, of course, extend network life. Few studies have considered the choice of a good LS-WSN deployment strategy as a solution for both connectivity and energy consumption efficiency. In this paper, we designed a LS-WSN as a tool for collecting big data generated by smart cities. The intrinsic characteristics of big data require the use of heterogeneous sensors. Furthermore, in order to build a heterogeneous LS-WSN, our scientific contributions include a model of quantifying the kinds of sensors in the network and the multi-level architecture for LS-WSN deployment, which relies on clustering for the big data collection. The results simulations show that our proposed LS-WSN architecture is better than some well known WSN protocols in the literature including Low Energy Adaptive Clustering Hierarchy (LEACH), E-LEACH, SEP, DEEC, EECDA, DSCHE and BEENISH.
Multi-View Pose Generator Based on Deep Learning for Monocular 3D Human Pose Estimation
Authors: Sun Jun , Wang Mantao , Zhao Xin , Zhang Dejun
Published: July 2020

In this paper, we study the problem of monocular 3D human pose estimation based on deep learning. Due to single view limitations, the monocular human pose estimation cannot avoid the inherent occlusion problem. The common methods use the multi-view based 3D pose estimation method to solve this problem. However, single-view images cannot be used directly in multi-view methods, which greatly limits practical applications. To address the above-mentioned issues, we propose a novel end-to-end 3D pose estimation network for monocular 3D human pose estimation. First, we propose a multi-view pose generator to predict multi-view 2D poses from the 2D poses in a single view. Secondly, we propose a simple but effective data augmentation method for generating multi-view 2D pose annotations, on account of the existing datasets (e.g., Human3.6M, etc.) not containing a large number of 2D pose annotations in different views. Thirdly, we employ graph convolutional network to infer a 3D pose from multi-view 2D poses. From experiments conducted on public datasets, the results have verified the effectiveness of our method. Furthermore, the ablation studies show that our method improved the performance of existing 3D pose estimation networks.
RETRACTED: Application of Symmetry Law in Numerical Modeling of Hydraulic Fracturing by Finite Element Method
Authors: Sun Shanhui , Zhou Meihua , Lu Wei , Davarpanah Afshin
Published: July 2020

In this paper, influential parameters on the hydraulic fracturing processes in porous media were investigated. Besides, the simultaneous stimulation of solids, fluids and fractures geomechanical equations were numerically analyzed as a developed 3D model. To do this, the Abacus software was used as a multi-objective program to solve the physical-mechanical symmetry law governing equations, according to the finite element method. Two different layers, A (3104–2984 m) and B (4216–4326 m), are considered in the model. According to the result of this study, the maximum fracture opening length in the connection of the wall surface is 10 and 9 mm for layer B and layer A, respectively. Moreover, the internal fracture fluid pressure for layer B and layer A is 65 and 53 Mpa. It is indicated that fracture fluid pressure reduced with the increase in fracture propagation length. Consequently, the results of this study would be of benefit for petroleum industries to consider several crucial geomechanical characteristics in hydraulic fractures simultaneously as a developed numerical model for different formation layers to compare a comprehensive analysis between each layer.
Botulinum Toxin and Neuronal Regeneration after Traumatic Injury of Central and Peripheral Nervous System
Authors: Luvisetto Siro
Published: July 2020

Botulinum neurotoxins (BoNTs) are toxins produced by the bacteria Clostridium botulinum, the causing agent for botulism, in different serotypes, seven of which (A–G) are well characterized, while others, such as H or FA, are still debated. BoNTs exert their action by blocking SNARE (soluble N-ethylmale-imide-sensitive factor-attachment protein receptors) complex formation and vesicle release from the neuronal terminal through the specific cleavage of SNARE proteins. The action of BoNTs at the neuromuscular junction has been extensively investigated and knowledge gained in this field has set the foundation for the use of these toxins in a variety of human pathologies characterized by excessive muscle contractions. In parallel, BoNTs became a cosmetic drug due to its power to ward off facial wrinkles following the activity of the mimic muscles. Successively, BoNTs became therapeutic agents that have proven to be successful in the treatment of different neurological disorders, with new indications emerging or being approved each year. In particular, BoNT/A became the treatment of excellence not only for muscle hyperactivity conditions, such as dystonia and spasticity, but also to reduce pain in a series of painful states, such as neuropathic pain, lumbar and myofascial pain, and to treat various dysfunctions of the urinary bladder. This review summarizes recent experimental findings on the potential efficacy of BoNTs in favoring nerve regeneration after traumatic injury in the peripheral nervous system, such as the injury of peripheral nerves, like sciatic nerve, and in the central nervous system, such as spinal cord injury.
Shiga Toxin Selectively Upregulates Expression of Syndecan-4 and Adhesion Molecule ICAM-1 in Human Glomerular Microvascular Endothelium
Authors: Volokhina Elena B. , Feitz Wouter J. C. , Elders Lonneke M. , van der Velden Thea J. A. M. , van de Kar Nicole C. A. J. , van den Heuvel Lambertus P. W. J.
Published: July 2020

Hemolytic uremic syndrome (HUS) is a severe renal disease that is often preceded by infection with Shiga toxin (Stx)-producing Escherichia coli (STEC). The exact mechanism of Stx-mediated inflammation on human glomerular microvascular endothelial cells (HGMVECs) during HUS is still not well understood. In this study, we investigated the effect of Stx1 on the gene expression of proteins involved in leucocyte-mediated and complement-mediated inflammation. Our results showed that Stx1 enhances the mRNA and protein expression of heparan sulfate proteoglycan (HSPG) syndecan-4 in HGMVECs pre-stimulated with tumor necrosis factor α (TNFα). CD44 was upregulated on mRNA but not on protein level; no effect on the mRNA expression of other tested HSPGs glypican-1 and betaglycan was observed. Furthermore, Stx1 upregulated the mRNA, cell surface expression, and supernatant levels of the intercellular adhesion molecule-1 (ICAM-1) in HGMVECs. Interestingly, no effect on the protein levels of alternative pathway (AP) components was observed, although C3 mRNA was upregulated. All observed effects were much stronger in HGMVECs than in human umbilical endothelial cells (HUVECs), a common model cell type used in endothelial studies. Our results provide new insights into the role of Stx1 in the pathogenesis of HUS. Possibilities to target the overexpression of syndecan-4 and ICAM-1 for STEC-HUS therapy should be investigated in future studies.