bluuebunny/crossref_metadata_2025 huggingface dataset:
Decoupling Effect, Driving Factors and Prediction Analysis of Agricultural Carbon Emission Reduction and Product Supply Guarantee in China
Authors: Zhang Lin , Chen Jinyan , Dinis Faustino , Wei Sha , Cai Chengzhi
Published: December 2022

Under the requirements for high-quality development, the coordinated promotion of agricultural carbon emission reduction and agricultural product supply guarantee in China is crucial to hold the bottom line of national food security as well as promote agricultural green transformation and development. Based on such situation, from the perspective of decoupling effect, driving factors and the prediction, this paper uses panel data of 30 provinces in China from 2011 to 2020, takes the carbon emission formula, the “two-stage rolling” Tapio decoupling elasticity coefficient method, the spatial Durbin model and the Grey model optimized by the Simpson formula background value to quantify the relationship between agricultural carbon emission and agricultural product supply, analyze the driving effects of agricultural carbon emission reduction and agricultural product increase, and predict the decoupling state of agricultural carbon emission and agricultural product supply between 2021 and 2025, so as to draw a scientific basis that is conducive to the coordinated promotion of agricultural carbon emission reduction and agricultural product supply guarantee in China. The result shows that: (1) The decoupling state of agricultural carbon emission and agricultural product supply shows generally “the eastern and central regions are better than the western regions” in China, and the decoupling state has improved significantly year by year. Green technology innovation (GTI), agricultural carbon emission and agricultural product supply in China have significant spatial differences and spatial auto-correlation, which shows the spatial factors cannot be ignored; (2) Green technology innovation and agricultural carbon emission in local and adjacent provinces are both in an inverted “U-shaped” relationship, meaning that high level green technology innovation is an effective way to reduce carbon emission. Though green technology innovation and agricultural product supply in local and adjacent provinces are both in a positive “U-shaped” relationship, but the minimum value of lnGTI is greater than 0, which indicates that current level of green technology has been raised to a certain level, effectively improving the output of agricultural products; (3) Compared with those in 2016–2020 in China, it is projected that in 2021–2025 the decoupling state of agricultural carbon emission and agricultural product supply will be improved significantly, and the provinces below the optimal state will leave the extremely unreasonable strong negative decoupling state, mainly show recessionary decoupling and recessionary connection. Our findings provide Chinese decision-makers with corresponding references to formulate accountable and scientific regional policies in order to achieve high-quality development of agriculture and realize “Double carbon” target in China.
Sustainable Performance through Digital Supply Chains in Industry 4.0 Era: Amidst the Pandemic Experience
Authors: Joshi Sudhanshu , Sharma Manu
Published: December 2022

Amidst the COVID-19 pandemic disruption, industry 4.0 technologies (I4TEs) and digital supply chains (DSCs) are reinforcing businesses to gain economic stability and agility to enrich their sustainable performance (S.P.). Survey methods have been deployed based on the constructs obtained from the literature. Data collection through a survey resulted in 202 valid responses. Confirmatory factor analysis (CFA) confirms the constructs and the mediating effect of the DSCs through partial least squares structural equation modeling (PLS-SEM). The study is among the few studies that examine the I4TE impact on DSCs and S.P. The results show that industry 4.0 technologies enhance the sustainable performance of firms. Results also show a complete mediation of DSCs on the inter-relationship between I4TEs and S.P. Those DSCs with I4TE inclusion can transform an organization’s strategic decision-making. For the authors, this study is the first of its kind. Although some of the literature explored different aspects of the concept of industry 4.0 and digitalizing supply chains, studies have yet to specifically evaluate the potential impacts of digital supply chains on sustainable performance. The novelty of DSCs is their support of firms in improving their preparedness, agility, and transparency to strengthen their sustainable performance. These DSCs will provide agile, collaboration, responsiveness, end-to-end visibility, and resilient supply chains to diminish supply risk and enrich preparedness and responsiveness to recuperate quickly from uncertainty amidst the pandemic. The study will help managers re-designing their strategic planning, resulting in new cost reduction and resilience models for supply chains. The study calls for firms to employ multiple DSCs once they have set clear strategic priorities. The overall findings of the work fill the literature gaps of studies in the digitalization of supply chains.
Effects of Multicomponent Physical Exercise Programs on Physical Fitness in People with Intellectual Disabilities: A Systematic Review
Authors: Farías-Valenzuela Claudio , Ferrero-Hernández Paloma , Ferrari Gerson , Cofre-Bolados Cristian , Espoz-Lazo Sebastián , Álvarez-Arangua Sebastián , Marques Adilson , Valdivia-Moral Pedro
Published: December 2022

People with intellectual disabilities (ID) have high rates of overweight and obesity, heart and metabolic diseases, and low motor development. These factors compromise functional independence and autonomy in activities of daily living. The objective of this study was to clarify the design and implementation of multicomponent physical exercise programs (MPEPs) and evaluate their effects on physical fitness in people with ID. A search for scientific articles in English published before 2022 was conducted using Web of Science, PubMed, Scopus, and Science Direct databases. Scientific papers describing the effects of MPEPs on physical fitness in people with ID were considered. A total of 374 articles involving people with ID were included. Positive physical fitness outcomes were found in interventions with MPEPs in its morphological components and to a lesser extent in the motor, muscular, metabolic, and cardiorespiratory aspects in people with ID. Further research is needed to standardize and elucidate the effects of the MPEP on other functional dimensions of physical fitness to use them as a physical activity alternative to reduce sedentary behavior in people with ID.
Vulnerability Assessment of Mine Flooding Disaster Induced by Rainstorm Based on Tri-AHP
Authors: Sun Zuo , Qi Qingjie , Liu Yingjie
Published: December 2022

As a disaster-bearing body, the coal mine is vulnerable to the impact threat of rainstorm disasters, which easily induce flooding accidents. In view of this, this study is designed to propose the vulnerability assessment method of rainstorm-induced coal mine flooding disasters. On account of the scientific theory of disaster risk, the evaluation model and index system of coal mine flooding disaster induced by rainstorm covering exposure, fortification level, and resilience are constructed, while the vulnerability assessment method based on Tri-AHP method is proposed. Study results demonstrate that population exerts the greatest impact on exposure, wellhead elevation matters the most for fortification level, and the emergency plan has a dominant influence on resilience. Therefore, for coal mines, it is suggested to strengthen the special rainstorm emergency plan drill, improve the fortification level, and solidify the emergency duty during the rainy season. In this study, the rainstorm disaster vulnerability assessment method of coal mine is innovatively put forward, which is conducive to sustainable energy and environmental development.
Micro Pumped Hydro Energy Storage: Sketching a Sustainable Hybrid Solution for Colombian Off-Grid Communities
Authors: Guignard Nathan , Cristofari Christian , Debusschere Vincent , Garbuio Lauric , Le Mao Tina
Published: December 2022

Currently, electricity generation in off-grid communities is done through polluting and often inefficient diesel generators. When renewable energies are implemented, they are often coupled with chemical batteries, whose specificities do not fit well with remote and harsh environments. As a more sustainable alternative, this paper looks at micro pumped hydro energy storage coupled with solar photovoltaic production. Rural electrification in Colombia is selected as the best potential context for such a solution. Several electrical machines are considered for energy conversion (associated with one pump also utilized as turbine for robustness and cost reasons) and rated over-dedicated criteria: reactive power, efficiency, price, flexibility of power intake, complexity, and robustness. This sketching phase highlights two machines, induction and permanent magnet synchronous machines, both coupled with a variable frequency drive. Two microgrid configurations are also selected that best suit this storage technology to the needs of Colombian non-interconnected zones. A pursuit of low-tech, robust solutions is carried in this paper for reasons of costs, maintenance, and local appropriation.
Renewable and Non-Renewable Energy Consumption on Economic Growth: Evidence from Asymmetric Analysis across Countries Connected to Eastern Africa Power Pool
Authors: Yang Cheng , Namahoro Jean Pierre , Wu Qiaosheng , Su Hui
Published: December 2022

Though various studies have examined the energy-growth nexus, the non-linear asymmetry relationship between economic growth and energy use has received little attention. In order to investigate the stratified asymmetric relationship between total, renewable, and nonrenewable energy consumption and economic growth in nine Eastern African nations connected via the Eastern Africa power pool (EAPP) and power trade (EAPT), this study used common correlated effect means group (CCEMG), nonlinear Autoregressive Distributed Lags (NARDL) approaches, and asymmetric causality tests from both a country and regional perspective. The time span is 1980 to 2017. The results from cross-sectional dependence confirms the existence of cross-sectionally dependence, findings from unit root and westerlund cointegration agreed the presence of long-run relations between variables and support the use of NARDL. CCEMG results reveal that energy in total contributes to growth, while nonrenewable energy reduces economic growth across the panel of selected countries. Nonlinear results from positive and negative shocks to energy as total, renewable and nonrenewable energy use have mixed nonlinear effect (positive and negative) on economic growth in long-run across the selected countries, while symmetric effect was unavailable in several countries. Bi-directional causation was noted between growth and all considered energy types at the panel of seven countries, and between energy as total and nonrenewable and growth in Ethiopia and Sudan, while all of the examined nations showed a strong one-way causal relationship between growth and renewable and nonrenewable energy, Rwanda showed a neutral relationship between growth and energy sources. For sustainable economic growth, policymakers, investors, and government officials may use this information to help them develop energy policies that promote renewable energy output while reducing reliance on nonrenewable energy in the region.
Temporal Stability of Soil Microbial Properties in Responses to Long-Term Application of Compost Obtained from Tannery Sludge
Authors: Saraiva Talyta Carine da Silva , Ventura Sabrina Hermelindo , Brito Junior Eudemio Sousa , Rocha Sandra Mara Barbosa , Costa Romario Martins , Pereira Arthur Prudencio de Araujo , De Sousa Ricardo Silva , Verma Jay Prakash , Van den Brink Paul J. , Araujo Ademir Sergio Ferreira
Published: December 2022

Successive applications of compost obtained from tannery sludge affected the soil microbial biomass and activity. However, the effect of this practice on the temporal stability of soil microbial properties is not known. This study evaluated the temporal stability of microbial biomass, respiration, and enzymes activities in soil with successive applications of compost obtained from tannery sludge. Soil samples (0–10 cm depth) were collected from sites with successive application of compost at the lowest (2.5 ton/ha) and highest (20 ton/ha) rates, including the control (0 ton/ha). Soil microbial biomass carbon (MBC) and nitrogen (MBN), respiration, dehydrogenase, and urease activities were evaluated at 0, 30-, 60-, 90-, and 150-days post-application. The soil microbial properties varied as per treatments and sampling time. The principal response curve showed higher variation of soil microbial properties in the treatment having highest rate of compost. This analysis showed dehydrogenase, urease, and MBC as the most responsive parameters. The temporal stability of soil microbial parameters showed highest values at the lowest rate of compost. This study showed that the successive application of compost contributed to a decrease in variation and increase in temporal stability of soil microbial properties at the lowest rate.
Environmental Sustainability Index of Rural Properties in the Federal District, Brazil
Authors: Souza Ravana Marques , Angelo Humberto , Almeida Alexandre Nascimento de , Gaspar Ricardo de Oliveira , Paula Maristela Franchetti de
Published: December 2022

The objective of this work was to build and apply environmental indicators to verify the environmental performance and diagnose the sustainability levels of the rural properties from Federal District, Brazil. Data analysis was performed based on the information required and declared to public administration. Exploratory sampling was applied, obtaining a sample population of 169 properties. It was decided to use the factor analysis methodology in order to verify the environmental performance and diagnose the sustainability levels of the rural properties. The results achieved allow us to state that most of the properties (91.49%) are in a state of severe unsustainability. The results also show that the remnants of native vegetation, when they exist, are not in sufficient proportion to the total size of the property according to what the legislation requires. The proposed model and the environmental indicators built from the environmental legislation proved to be an efficient, practical and low-cost tool for a satisfactory diagnosis about the measurement of the sustainability of Brazilian rural properties and in the identification of positive management situations in relation to the suitability for environmental laws.
Effects of Hydrostatic Dissolution and Seepage on the Transport and Mechanical Properties of Glauberite
Authors: Meng Minghui , Cui Shenghua , Pei Xiangjun , Sun Dong , Yang Xuezhi , Qin Liang , Liang Yufei , Yang Mengjie
Published: December 2022

During the development of urban underground space in Chengdu, China, it was found that glauberite rocks in the Guankou formation of the Cretaceous system had extensive dissolution and exerted a serious impact on the safety of the project. At present, research on the transport and mechanical properties of glauberite under hydrostatic conditions in this area is limited. In this paper, the effects of hydrostatic dissolution and seepage on the transport and mechanical properties of glauberite are studied. The results show that the concentration of aqueous solution increases step by step with the increase in the dissolution time of glauberite in still water, indicating that the forward movement of the dissolution front of glauberite rock is not a continuous process and has intermittent characteristics. The dissolution and infiltration of mirabilite seriously deteriorates the physical structure of mirabilite, resulting in a decrease in elastic modulus and an increase in axial deformation, and a decrease in mechanical properties. There are a dissolution layer, dissolution front and undissolved area in the karst infiltration of calcium and mirabilite in the hydrostatic solution, so the mechanism of the calcium and mirabilite karst dissolution process is determined. Because of the dissolution characteristics of mirabilite, underground space development should prevent the uneven settlement of mirabilite, ground collapse, pit and chamber water gushing, corrosive groundwater and other geological problems.
Assessing the Feasibility of MaaS: A Contribution from Three Italian Case Studies
Authors: Caballini Claudia , Corazza Maria Vittoria , Costa Valentina , Delponte Ilaria , Olivari Erika
Published: December 2022

Making all types of public and private transport services available to users through a single and integrated digital platform is the new urban mobility paradigm called Mobility as a Service (MaaS). This scheme allows both a more sustainable urban transportation system and a more efficient transport service for users. For MaaS to be successful, its implementation should adapt to the specific features of the location covered by the service. The city maturity level has to be considered in terms of multimodality, infrastructures, regulations, user goals, and user willingness to use and pay for MaaS services. This paper discusses and analyses the results of a survey on MaaS conducted in three Italian metropolitan areas: Turin, Rome, and Genoa, which have very different and specific characteristics. The comparative analysis enables the definition of drivers, obstacles, and requisites for MaaS implementation to be successful. When it comes to cities with conservative mobility policies or cities that are new to MaaS experiences, resistance to adoption of the service might occur. The results of the research discussed in this paper can be a useful resource to enable decision makers to develop more effective and efficient transportation policies.
Impact of Mobile Internet Application on Farmers’ Adoption and Development of Green Technology
Authors: Huang Zhenzhen , Zhuang Jiayu , Xiao Shuo
Published: December 2022

Mobile Internet refers to a new mode of information interaction through mobile terminals and the use of wireless communication to access information services. The mobile Internet has provided a new model for the traditional information circulation mode, rural economic structure, and social transformation. With an association between the mobile Internet and farmers’ adoption behavior of new green technology, this paper investigated the impact of mobile Internet application on farmers’ adoption of green technology through a mediating effect model. From the perspective of new agricultural technology diffusion and based on the perspective of factor substitution, we decompose the mechanism that mobile Internet applications affect the adoption of new wheat varieties. Along the path of information transmission, evaluation, and adoption of new wheat varieties, we deeply explored the impact of the mobile Internet on the adoption of new wheat varieties by different types of wheat growers. The results show that there is a significant mediating effect of information acquisition ability, risk attitude, and expected return on the influence of the mobile Internet on green technology adoption. For the adoption mechanism of new green varieties, there was a distinct difference among various farmers.
Life Cycle Sustainability Assessment of Single Stream and Multi-Stream Waste Recycling Systems
Authors: Berardocco Costantino , Delawter Hannah , Putzu Thomas , Wolfe Larson Curtis , Zhang Hao
Published: December 2022

An increasing trend of moving towards single-stream waste management systems is occurring in many municipalities. This is because of the ability to process greater quantities of materials, minimize material management costs, and maximize recycling convenience and participation. Research on evaluating comprehensive sustainability (economic, environmental, and social) of the two streams is very limited. This study looks to gain an in-depth understanding of two waste management systems and assist in the decision-making processes of municipalities. To achieve this, the study provides a framework for evaluating economic, environmental, and social impacts as well as a sustainability assessment of single- vs. multi-stream waste management systems within the scope of a typical North American college town. A life cycle assessment framework was employed. The scope of the assessment includes production of materials, collection, sorting, and processes included in a material recovery facility (MRF). The functional unit is 1 ton of municipal solid waste. The case study was conducted on a North American college city during its transition from multi-stream recycling to single-stream recycling. The sustainability assessment result of the case study reveals that the single-stream recycling collection cost is slightly lower (USD 86.96/ton) than the multi-stream recycling collection cost (USD 89/ton). Additionally, the GHG emissions for the single-stream recycling system (10.56 kg CO2eq/ton) are slightly higher than for the multi-stream recycling system (9.67 kg CO2eq/ton). This is due to the complexity of the processes involved in the MRF. Nevertheless, recycling rate is the determining factor for life cycle GHG emissions and costs. Municipal solid waste policymakers could benefit from this study by using the framework and study results for tactical and strategic decision-making.
PROSPER (Project, Sustainability, and Perseverance) Learning Model in English for Computer Science
Authors: Wahyuni Dewi Sari , Rozimela Yenni , Ardi Havid , Mukhaiyar Mukhaiyar , Darmansyah Darmansyah
Published: December 2022

We propose the PROSPER (Project, Sustainability, and Perseverance) Learning Model in English for Computer Science (ECS), a course provided by undergraduate Computer Science programs in Indonesian Higher Education Institutions. PROSPER has eight competencies: (1) System Thinking; (2) Critical Thinking; (3) Envisioning for the Future; (4) Personal Involvement; (5) Interpersonal Relations and Collaboration; (6) Tolerance for Ambiguity and Certainty; (7) Communication and Use of Media; and (8) Strategic Action. The syntax refers to Project-Based Learning and has eight stages: (1) choosing the theme of the project; (2) open-class discussion on the correlation between the topic and sustainability; (3) meeting the experts; (4) structuring the project by considering its contribution to sustainability; (5) executing the project in a sustainable way; (6) presenting the project; (7) evaluating the project; and (8) publishing the project. PROSPER model highlights the concept of sustainability and increases awareness, which has real-world relevance on a global scale. The urgency of incorporating sustainability into ECS is intimately tied to student perseverance, which is anticipated to educate them to be change agents for a better world in the present and future.
Effect of Inoculum Concentration on the Degradation of Diesel 2 by a Microbial Consortium
Authors: Otiniano Nélida Milly , Rojas-Villacorta Walter , De La Cruz-Noriega Magaly , Lora-Cahuas Carmen , Mendoza-Villanueva Karol , Benites Santiago M. , Gallozzo-Cardenas Moises , Rojas-Flores Segundo
Published: December 2022

The objective was to determine the effect of inoculum concentration on the degradation of Diesel 2 by a microbial consortium called BIOT.PD001. For this, five systems were designed (in triplicate), which Contained Davis Minimum Medium, 5% Diesel 2 as a carbon source, and a suspension of the microbial consortium BIOT.PD001 (9 × 108 cells/mL) in concentrations of 2, 4, 6, 8, and 10% of the final volume. The monitoring of the degradation of Diesel 2 was carried out indirectly through the bacterial counts by the plate count method, the Biochemical Oxygen Demand (BOD5) by the Winkler Method modified according to Alsterberg, and the concentration of total fats by Gerber’s method. The retention time was 15 days. It was observed that the percentage of efficiency of the process increases as the concentration of inoculum increases, obtaining the highest percentage of efficiency (94.77%) when using 10% of inoculum (v/v), while when using inoculum concentrations of 2 and 4% (v/v), the efficiency percentages are the lowest, (68.4 and 66.6%, respectively). On the other hand, the variance analysis indicated that there is a significant difference between the averages of these values. The regression analysis indicated that the inoculum concentration significantly affects the efficiency of Diesel 2 degradation and that this is 86% explained by a linear regression model. There is a linear relationship between the inoculum concentration of the BIOT.PD001 microbial consortium and the BOD5 tend to decrease as a function of time. It is concluded that the inoculum concentration significantly affects the efficiency of the degradation of Diesel 2 by the BIOT.PD001 consortium.
Efficiency Assessment of Fully Mechanized Harvesting System through the Use of Fleet Management System
Authors: Bacescu Narcis Mihail , Cadei Alberto , Moskalik Tadeusz , Wiśniewski Mateusz , Talbot Bruce , Grigolato Stefano
Published: December 2022

Nowadays the spread of precision forestry has led to the possibility of collecting data related to forest machines for an extended period and with enough precision to support decisions in the optimization of harvesting strategies in terms of technological and environmental efficiency. This study aims to evaluate the effective benefit of automatic data collection through the fleet management system (FMS) of two forest harvesters and two forwarders in pine forests in Poland. The study also aims to determine how the use of FMS can help forest companies to manage their fleet and take advantage of long-term monitoring. Focusing on performance indicators of fuel consumption and CO2 emissions, as well as on the engine parameters from the Can Bus data, the exploration of data was performed following a Big Data approach, from the creation of an aggregate dataset, pre-elaboration (data cleaning, exploration, selection, etc.) using GIS and R software. The investigation has considered the machine productivity, in the case of the harvesters, and the specific fuel consumption of each machine studied, as well as the time used by each of them during the different working cycle activities and the total amount of timber processed. The main results indicate an average emission of 2.1 kg of CO2 eq/m3 for the harvesters and 2.56 kg of CO2 eq/m3 for the forwarders, which equates in total to 0.24% of the carbon stored in one cubic meter of wood.
Potential Use of Cow Manure for Poly(Lactic Acid) Production
Authors: Garrido Ricard , Cabeza Luisa F. , Falguera Víctor , Pérez Navarro Omar
Published: December 2022

Cow manure is an abundant residue and poses a problem regarding recycling. Intensive animal farming produces manure, which, if not properly managed, can contaminate nearby water bodies and soils with nutrient excess. There are 1.9 billion cattle worldwide, with a calculated capacity to produce 7.6 billion tons per year. Feeding of these cows is carried out mainly with cellulosic material. Therefore, cow manure contains an important fraction of lignocellulose. Cow manure can be valorized using such lignocellulosic fractions as the raw material of several fermentative processes. This fraction can be transformed into sugar, which can, in turn, be used to feed lactic acid bacteria (LAB). LAB produces lactic acid (LA), which can later be polymerized to poly(lactic acid) (PLA), a bioplastic with promising market forecasts. This review describes the most updated processes for all of the necessary steps to produce lactic acid from lignocellulosic biomass with LAB. Key process parameters to obtain PLA from lignocellulose are reviewed and analyzed herein, including lignocellulosic fraction extraction, sugar transformation, pretreatment, hydrolysis, fermentation, purification, and polymerization. This review highlights the potentiality to obtain lignocellulose from cow manure, as well as its use to obtain PLA.
Eliciting University Students’ Attitudes towards Farmers’ Markets: The Hungarian Case
Authors: Maró Gréta , Czine Péter , Maró Zalán Márk , Török Áron
Published: December 2022

Short food supply chains are increasingly investigated areas of international studies. One of its defining sales channels is the farmers’ market, the number of which has grown substantially in Hungary in recent years. Many studies analyze the consumers of farmers’ markets worldwide, but only a few examine the relationship of university students with farmers’ markets. Although university students are not typical customers of farmers’ markets, it is essential to investigate their habits since they are the consumers of the future. Based on a questionnaire survey among Hungarian university students (n = 262), the price, convenience, selection, and quality aspects of the products dominate. We also identified clusters based on food purchasing criteria: (1) price-sensitive consumers, (2) health-conscious consumers, and (3) brand-loyal consumers. The main obstacle for non-regular buyers is the distance from farmers’ markets, which can be solved by organizing farmers’ markets on university campuses. 95% of the sample is open to this, so it would be worthwhile to conduct independent research for each university and put the positive results into practice.
Developing Biosensors for SARS-CoV-2 Wastewater-Based Epidemiology: A Systematic Review of Trends, Limitations and Future Perspectives
Authors: Azubuike Christopher C. , Couceiro Fay , Robson Samuel C. , Piccinni Maya Z. , Watts Joy E. M. , Williams John B. , Callaghan Anastasia J. , Howard Thomas P.
Published: December 2022

Wastewater-based epidemiology (WBE) permits the sustainable surveillance of pathogens in large populations and does not discriminate between symptomatic and asymptomatic groups. WBE allows health authorities and policymakers to make swift decisions to limit the impact of local and regional disease outbreaks, minimise the spread of infection and mitigate the effects of pathogen importation. Biosensors are an exciting addition to conventional WBE analytical approaches. Combined with sentinel surveillance programs, biosensors can be reactive to novel variants of a virus in the community. However, progress developing biosensors for wastewater surveillance is severely limited compared to advances in clinical diagnostics, with a lack of well-developed biosensors currently being available. Whilst the field of biosensors is vast, this review focuses on trends in monitoring SARS-CoV-2 in wastewater over a key period (2020–2021). We explore the complexities involved in sampling within wastewater networks, the options for target selection, and reflect on the ethical considerations and limitations of this approach by highlighting the complex transdisciplinary connections needed. The outlook for WBE biosensors is assessed to be on a positive trajectory as current technical challenges are overcome. Finally, we outline the current status and where further development is needed to have a systematic feedback mechanism which would allow wastewater biosensors to be kept current and relevant to emergent pathogens.
Challenges for a Sustainable Food Supply Chain: A Review on Food Losses and Waste
Authors: De Boni Annalisa , Ottomano Palmisano Giovanni , De Angelis Maria , Minervini Fabio
Published: December 2022

To address global food security, new strategies are required in view of the challenges represented by Climate Change, depletion of natural resources and the need to not further compromise the ecosystems’ quality and biodiversity. Food losses and waste (FLW) affect food security and nutrition, as well as the sustainability of food systems. Quantification of the adverse effects of FLW is a complex and multidimensional challenge requiring a wide-ranging approach, regarding the quantification of FLW as well as the related economic, environmental and social aspects. The evaluation of suitable corrective actions for managing FLW along the food supply chain requires a system of sound and shared benchmarks that seem still undefined. This review aims to provide an overview of the environmental, economic and social issues of FLW, which may support policy measures for prevention, reduction and valorization of food wastes within the food supply chain. In fact, detection of the hotspots and critical points allows to develop tailored policy measures that may improve the efficiency of the food supply chain and its sustainability, with an integrated approach involving all the main actors and considering the several production contexts.
Evaluation of the Structural Performance of Low Carbon Concrete
Authors: Nukah Promise D. , Abbey Samuel J. , Booth Colin A. , Oti Jonathan
Published: December 2022

Evaluation of the effect of embodied carbon reduction using an optimized design section for a ground beam, use of supplementary cementitious materials, and replacement of normal aggregate with light weight aggregate on the mechanical properties of low-carbon concrete was carried out. A creep coefficient of 0.019 was estimated for a 365-day period on a change in section from 1 to 0.6 m2 on a proposed trapezoidal section for ground beam, which showed a negligible difference when compared to the normal rectangular section owing to a reduction in embodied carbon due to the associated reduction in concrete volume and reinforcement. Training of 81 low-carbon concrete data sets in MATLAB using artificial neural network for 100% cement replacement with ground granular base slag indicates good performance with a mean square error of 0.856. From the study, it was observed that the extent of carbonation depth in concrete evidenced the measure of compressive strength formation based on the specific surface area of the binder and the water absorption rate of the aggregate, while enhancing the flexural strength of the low-carbon concrete required a cement-to-supplementary-cementitious-material ratio of 0.8.
The Moderating Role of IT Capability on Green Innovation and Ambidexterity: Towards a Corporate Sustainable Development
Authors: Li Xinwei , Zeng Wenjuan , Xu Mao
Published: December 2022

Green innovation (GI) is widely regarded as a strategy for pursuing sustainable corporate development. Drawing from the organisational information processing theory, this study investigates the moderation effect of information technology (IT) capability in shaping the impacts of ambidexterity and two types of GI practices, green product innovation (GPDI) and green process innovation (GPCI). Using a selective sampling of 368 firms in China, this study validates a 30-item measurement scale and approves the proposed theoretical model. The data obtained were then analysed using the structural equation modelling (SEM) executed by the AMOS 23 application. The results confirm the vital role of two sides of ambidexterity, namely, exploitation and exploration, in improving GI and the positive effects of GI on sustainable corporate development (i.e., environment, social, and financial sustainability). More importantly, IT capability only positively moderates the relationship between GI and one side of ambidexterity, i.e., exploitation. This study contributes to the strategies to better prepare companies in developing markets to achieve GPDI and GPCI as core competencies. Findings also provide evidence for practitioners to invest in GI to facilitate better corporate sustainability.
Big Data Clustering Using Chemical Reaction Optimization Technique: A Computational Symmetry Paradigm for Location-Aware Decision Support in Geospatial Query Processing
Authors: Neamah Ali Fahem , Ibrahim Hussein Khudhur , Darwish Saad Mohamed , Hassen Oday Ali
Published: December 2022

The emergence of geospatial big data has opened up new avenues for identifying urban environments. Although both geographic information systems (GIS) and expert systems (ES) have been useful in resolving geographical decision issues, they are not without their own shortcomings. The combination of GIS and ES has gained popularity due to the necessity of boosting the effectiveness of these tools in resolving very difficult spatial decision-making problems. The clustering method generates the functional effects necessary to apply spatial analysis techniques. In a symmetric clustering system, two or more nodes run applications and monitor each other simultaneously. This system is more efficient than an asymmetric system since it utilizes all available hardware and does not maintain a node in a hot standby state. However, it is still a major issue to figure out how to expand and speed up clustering algorithms without sacrificing efficiency. The work presented in this paper introduces an optimized hierarchical distributed k-medoid symmetric clustering algorithm for big data spatial query processing. To increase the k-medoid method’s efficiency and create more precise clusters, a hybrid approach combining the k-medoid and Chemical Reaction Optimization (CRO) techniques is presented. CRO is used in this approach to broaden the scope of the optimal medoid and improve clustering by obtaining more accurate data. The suggested paradigm solves the current technique’s issue of predicting the accurate clusters’ number. The suggested approach includes two phases: in the first phase, the local clusters are built using Apache Spark’s parallelism paradigm based on their portion of the whole dataset. In the second phase, the local clusters are merged to create condensed and reliable final clusters. The suggested approach condenses the data provided during aggregation and creates the ideal clusters’ number automatically based on the dataset’s structures. The suggested approach is robust and delivers high-quality results for spatial query analysis, as shown by experimental results. The proposed model reduces average query latency by 23%.
Benchmarking Analysis of the Panorama of Grid-Connected PV Installations in Spain
Authors: Gómez-Uceda F. J. , Varo-Martínez M. , Ramírez-Faz J. C. , López-Luque R. , Fernández-Ahumada L. M.
Published: December 2022

Renewable energies play an important role as a solution to the challenge of satisfying the growing global energy demand without jeopardizing the achievements in the fight against climate change. Given this panorama, different countries, including Spain, have developed policies to promote renewable energies. One of the technologies that benefit from these policies is photovoltaics. In Spain, the number of grid-connected photovoltaic installations has increased significantly in recent years. It is interesting to analyze the panorama of these facilities and identify the trends in their design criteria. In this line, in this work, the projects of 70 grid-connected photovoltaic installations distributed across Spain were analyzed. For that purpose, benchmarking techniques were applied, facilitating the systematization of information, the intercomparison of plants and the identification of trends and efficient solutions. A set of characteristic indicators of each installation was defined, and a statistical analysis of them was developed. Likewise, a tool was developed that allows the designers of this type of photovoltaic plant to compare the design parameters chosen for their installations with those of the surrounding area. Therefore, this work provides knowledge about the current panorama of photovoltaic implementation applicable to its future advance.
Characterization of NanR Regulation of Sialidase Production, Sporulation and Enterotoxin Production by Clostridium perfringens Type F Strains Carrying a Chromosomal Enterotoxin Gene
Authors: Li Jihong , Mi Eric , Pradhan Arhat , McClane Bruce A.
Published: December 2022

Clostridium perfringens type F food poisoning (FP) strains produce C. perfringens enterotoxin (CPE) to cause a common bacterial food-borne illness in the United States. During FP, CPE is synthesized in the intestines when C. perfringens sporulates. Besides CPE, FP strains also produce sialidases. Most FP strains carry their cpe gene on the chromosome and all surveyed chromosomal cpe (c-cpe) FP strains produce NanH sialidase or both NanJ and NanH sialidases. NanR has been shown previously to regulate sialidase activity in non-FP strains. The current study investigated whether NanR also regulates sialidase activity or influences sporulation and CPE production for c-cpe FP strains SM101 and 01E809. In sporulation medium, the SM101 nanR null mutant showed lower sialidase activity, sporulation, and CPE production than its wild-type parent, while the 01E809 nanR null mutant showed roughly similar sialidase activity, sporulation, and CPE production as its parent. In vegetative medium, the nanR null mutants of both strains produced more spores than their parents while NanR repressed sialidase activity in SM101 but positively regulated sialidase activity in 01E809. These results demonstrate that NanR regulates important virulence functions of c-cpe strains, with this control varying depending on strain and culture conditions.
Self-Supervised Learning for Solar Radio Spectrum Classification
Authors: Li Siqi , Yuan Guowu , Chen Jian , Tan Chengming , Zhou Hao
Published: December 2022

Solar radio observation is an important way to study the Sun. Solar radio bursts contain important information about solar activity. Therefore, real-time automatic detection and classification of solar radio bursts are of great value for subsequent solar physics research and space weather warnings. Traditional image classification methods based on deep learning often require considerable training data. To address insufficient solar radio spectrum images, transfer learning is generally used. However, the large difference between natural images and solar spectrum images has a large impact on the transfer learning effect. In this paper, we propose a self-supervised learning method for solar radio spectrum classification. Our method uses self-supervised training with a self-masking approach in natural language processing. Self-supervised learning is more conducive to learning the essential information about images compared with supervised methods, and it is more suitable for transfer learning. First, the method pre-trains using a large amount of other existing data. Then, the trained model is fine-tuned on the solar radio spectrum dataset. Experiments show that the method achieves a classification accuracy similar to that of convolutional neural networks and Transformer networks with supervised training.
COVID-19 Vaccination in Patients with Chronic Liver Disease
Authors: Schinas Georgios , Polyzou Eleni , Mitropetrou Fevronia , Pazionis Aristotelis , Gogos Charalambos , Triantos Christos , Akinosoglou Karolina
Published: December 2022

Vaccination against SARS-CoV-2 has become a central public health issue, primarily for vulnerable populations such as individuals with Chronic Liver Disease (CLD). Increased COVID-19-related mortality and disease severity has been noted in this subgroup of patients. Severe COVID-19 tends to further deregulate liver function in patients with chronic liver failure or cirrhosis and even reactivate hepatitis in people living with HBV or HCV. In addition, impaired hepatic function leads to several limitations in possible therapeutic interventions. Chronic hepatic dysregulation, along with the underlying cirrhosis-associated immune dysfunction (CAID), leads to a decreased immune response to vaccination that, in turn, may result in reduced efficacy rates and lowered lasting protection. According to current guidelines, timely vaccination and frequent booster shot administration are deemed necessary in this context. Vaccination-related adverse events are mostly mild in nature and similar to those reported in the general population, whereas the incidence of liver injury following vaccination is relatively rare. We aimed to review available evidence and recommendations associated with COVID-19 vaccination in patients with chronic liver disease, and provide insight to current issues and future directions.
Exploration of Potent Antiviral Phytomedicines from Lauraceae Family Plants against SARS-CoV-2 Main Protease
Authors: Bora Himashree , Kamle Madhu , Hassan Hesham , Al-Emam Ahmed , Chopra Sidharth , Kirtipal Nikhil , Bharadwaj Shiv , Kumar Pradeep
Published: December 2022

A new Coronaviridae strain, Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2), emerged from Wuhan city of China and caused one of the substantial global health calamities in December 2019. Even though several vaccines and drugs have been developed worldwide since COVID-19, a cost-effective drug with the least side effects is still unavailable. Currently, plant-derived compounds are mostly preferred to develop antiviral therapeutics due to its less toxicity, easy access, and cost-effective characteristics. Therefore, in this study, 124 phytochemical compounds from plants of Lauraceae family with medicinal properties were virtually screened against SARS-CoV-2 Mpro. Identification of four phytomolecules, i.e., cassameridine, laetanine, litseferine and cassythicine, with docking scores −9.3, −8.8, −8.6, and −8.6 kcal/mol, respectively, were undertaken by virtual screening, and molecular docking. Furthermore, the molecular dynamic simulation and essential dynamics analysis have contributed in understanding the stability and inhibitory effect of these selected compounds. These phytomolecules can be considered for further in vitro and in vivo experimental study to develop anti-SARS-CoV-2 therapeutics targeting the main protease (Mpro).
The Role of Bacterial and Fungal Superinfection in Critical COVID-19
Authors: Seitz Tamara , Holbik Johannes , Grieb Alexander , Karolyi Mario , Hind Julian , Gibas Georg , Neuhold Stephanie , Zoufaly Alexander , Wenisch Christoph
Published: December 2022

Background: The range of reported rates of bacterial and fungal superinfections in patients with a severe course of COVID-19 is wide, suggesting a lack of standardised reporting. Methods: The rates of bacterial and fungal superinfection were assessed using predefined criteria to differentiate between infection and contamination. Results: Overall, 117 patients admitted to the Intensive Care Unit due to severe COVID-19 were included. Overall, 55% of patients developed a superinfection and 13.6% developed a fungal superinfection (5.9% candidemia and 7.7% CAPA). The rate of ventilator-associated pneumonia was 65.2%. If superinfection was detected, the length of hospital stay was significantly longer and the mortality was especially increased if candidemia was detected. An increased risk of superinfection was observed in patients with pre-existing diabetes mellitus or chronic heart failure. The presence of immunomodulating therapy did not seem to have an impact on the frequency of superinfections. Conclusion: Increased awareness of high superinfection rates, fungal infections in particular, in patients suffering from severe COVID-19 is necessary.