bluuebunny/crossref_metadata_2025 huggingface dataset:
Recent Progress in Sensing Technology Based on Triboelectric Nanogenerators in Dynamic Behaviors
Authors: Yao Linjie , Zhang He , Jiang Jiqing , Zhang Zhicheng , Zheng Xianglong
Published: June 2022

Under the trend of the rapid development of the internet of things (IoT), sensing for dynamic behaviors is widely needed in many fields such as traffic management, industrial production, medical treatment, building health monitoring, etc. Due to the feature of power supply independence and excellent working performance under a low-frequency environment, triboelectric nanogenerators (TENGs) as sensors are attracting more and more attention. In this paper, a comprehensive review focusing on the recent advance of TENGs as sensors for dynamic behaviors is conducted. The structure and material are two major factors affecting the performance of sensors. Different structure designs are proposed to make the sensor suitable for different sensing occasions and improve the working performance of the sensors. As for materials, new materials with stronger abilities to gain or lose electrons are fabricated to obtain higher surface charge density. Improving the surface roughness of material by surface engineering techniques is another strategy to improve the output performance of TENG. Based on the advancement of TENG structures and materials, plenty of applications of TENG-based sensors have been developed such as city traffic management, human–computer interaction, health monitoring of infrastructure, etc. It is believed that TENG-based sensors will be gradually commercialized and become the mainstream sensors for dynamic sensing.
Application of FBG Sensor to Safety Monitoring of Mine Shaft Lining Structure
Authors: Hu Kun , Yao Zhishu , Wu Yanshuang , Xu Yongjie , Wang Xiaojian , Wang Chen
Published: June 2022

The use of fiber Bragg grating (FBG) sensors is proposed to solve the technical problem of poor sensor stability in the long-term safety monitoring of shaft lining structures. The auxiliary shaft of the Zhuxianzhuang coal mine was considered as the engineering background, and a test system implementing FBG sensors was established to monitor the long-term safety of the shaft lining structure. Indoor simulation testing revealed that the coefficient of determination (r2) between the test curves of the FBG sensor and the resistance strain gauge is greater than 0.99 in both the transverse and vertical strains. Therefore, the FBG sensor and resistance strain gauge test values are similar, and the error is small. The early warning value was obtained by calculation, according to the specific engineering geological conditions and shaft lining structure. The monitoring data obtained for the shaft lining at three test levels over more than three years reveal that the measured vertical strain value is less than the warning value, indicating that the shaft lining structure is currently in a safe state. The analysis of the monitoring data reveals that the vertical strain increment caused by the vertical additional force is approximately 0.0752 με/d. As the mine drainage progresses, the increasing vertical additional force acting on the shaft lining will compromise the safety of the shaft lining structure. Therefore, the monitoring must be enhanced to facilitate decision-making for safe shaft operation.
Accurate Flow Regime Classification and Void Fraction Measurement in Two-Phase Flowmeters Using Frequency-Domain Feature Extraction and Neural Networks
Authors: Hosseini Siavash , Iliyasu Abdullah M. , Akilan Thangarajah , Salama Ahmed S. , Eftekhari-Zadeh Ehsan , Hirota Kaoru
Published: June 2022

Two-phase flow is very important in many areas of science, engineering, and industry. Two-phase flow comprising gas and liquid phases is a common occurrence in oil and gas related industries. This study considers three flow regimes, including homogeneous, annular, and stratified regimes ranging from 5–90% of void fractions simulated via the Mont Carlo N-Particle (MCNP) Code. In the proposed model, two NaI detectors were used for recording the emitted photons of a cesium 137 source that pass through the pipe. Following that, fast Fourier transform (FFT), which aims to transfer recorded signals to frequency domain, was adopted. By analyzing signals in the frequency domain, it is possible to extract some hidden features that are not visible in the time domain analysis. Four distinctive features of registered signals, including average value, the amplitude of dominant frequency, standard deviation (STD), and skewness were extracted. These features were compared to each other to determine the best feature that can offer the best separation. Furthermore, artificial neural network (ANN) was utilized to increase the efficiency of two-phase flowmeters. Additionally, two multi-layer perceptron (MLP) neural networks were adopted for classifying the considered regimes and estimating the volumetric percentages. Applying the proposed model, the outlined flow regimes were accurately classified, resulting in volumetric percentages with a low root mean square error (RMSE) of 1.1%.
Securitization of COVID-19 as a Security Norm: WHO Norm Entrepreneurship and Norm Cascading
Authors: Kaunert Christian , Leonard Sarah , Wertman Ori
Published: June 2022

In this article, we analyze the emergence of a global security norm of the COVID-19 epidemic as a threat to international security. This crisis is one of the gravest crises that humanity has experienced since the end of World War II in terms of the number of people infected and died, but also in terms of the economic consequences. Here, we provide a framework for understanding the securitization of the COVID-19 epidemic as an international norm defined and promoted by the World Health Organization as a norm entrepreneur, and cascaded down to the level of member states. We identify the actors who developed the main strategic prescriptions of the security norm and the international mechanisms that promoted the cascading of its contents throughout the international system. We further develop the notion of primary and secondary norms, which explain the striking differences amongst industrialized states with regard to the contents, scope, and implementation timeline of the various measures aiming to curb the spread of the virus.
Missing Children in Italy from 2000 to 2020: A Review of the Phenomenon Reported by Newspapers
Authors: Burrai Jessica , Pizzo Alessandra , Prisco Beatrice , De Filippis Lorenza , Mari Emanuela , Quaglieri Alessandro , Giannini Anna Maria , Lausi Giulia
Published: June 2022

The disappearance of children has become a public social issue that has captured the attention of many in the last two decades, especially because there is not a worldwide consensus on the definition of “missing child”. This research analyzed events of missing children from 2000 to 2020 in Italy; data were collected from the main national sources of information: the websites of two Italian press agencies (ANSA and Adnkronos) and the four main Italian newspapers (Il Messaggero, La Repubblica, Il Corriere Della Sera, La Stampa) with a double-blind procedure. Our data show that male minors disappear to a greater extent than female minors and the disappearance of Italian minors is more represented than that of foreign minors. The majority of minors are found and when they are found they are still alive often within the first week after the disappearance. Our data shows that children disappear between the ages of 0–5 more than the cases involving adolescents. Also, of 182 missing and found children, information regarding the presence of abuse was reported in only 18 cases. The data of the present study were discussed in comparison with those of the Italian Government’s Extraordinary Commissioner for Missing Persons highlighting differences between the official data on missing children and those reported by newspapers; this study is intended to highlight a growing focus on the phenomenon, not only from a media perspective but also from an institutional one.
Social Housing Life Cycle Management: Workflow for the Enhancement of Digital Management Based on Building Information Modelling (BIM)
Authors: Castellano-Román Manuel , Garcia-Martinez Antonio , Pérez López María Luisa
Published: June 2022

The management of the life cycle of large publicly owned social housing complexes requires a large amount of human and technological resources, the optimization of which is a desirable and shared objective. This article proposes a workflow for the enhancement of these management processes based on BIM (Building Information Modelling), a methodology capable of integrating architectural information into a three-dimensional graphic model. The proposed workflow defines the basic characteristics of the BIM model oriented toward sustainable building management and its relationship with the key moments of its life cycle. It also analyzes the architectural information associated with the models and determines which parameters are optimal for their completion from the BIM models in terms of reliability, auditability, and automation. For this purpose, a case study has been developed for a multifamily residential building in Malaga (Spain), owned by the Andalusian Housing and Rehabilitation Agency AVRA, a public agency that manages a housing stock of more than 70,000 dwellings.
Exploring Teaching and Learning Experience during COVID-19 Pandemic in Engineering Education
Authors: Arif Mohammad Taufiqul , Shafiullah GM
Published: June 2022

The education system is continuously modernizing by accommodating the need due to the industrial revolution. Various teaching modes are also introduced including a diverse range of students, particularly in engineering education. The COVID-19 pandemic has disrupted normal education worldwide, forced to shut down campus activity for an extended period which forced Universities to adopt alternative approaches to continue student’s academic year. Engineering education faced significant challenges to find a realistic substitution for lab-based hands-on activity as well as group or team-based learning experiences. It is therefore very important to know the challenges and ways to address them. This paper evaluates the teaching and learning experiences observed in engineering education in Australia and abroad during the COVID-19 period compared to the pre-COVID period. The key motivation of this study is to identify key challenges arises due to COVID-19, develop Teaching & Learning (T & L) approaches to address these challenges and evaluate the effectiveness of the applied changes in the T & L approach, identify shortcomings, and find ways to improve them. The student feedback on selected engineering units have been collected from Deakin and Murdoch university in Australia to evaluate the performances of the applied changes. This data is considered as an authentic source of information to compare and identify the key challenges and effectiveness for students’ learning in pre-COVID and during COVID condition. This study later explored various literatures to gather experiences from other universities across the globe and by analysing all findings including academic experiences finally developed constructive recommendations for improvement. It is found that the current form of online mode of teaching has room to improve further as one segment of students finds it challenging and some others like a few approaches. It is also found that the online infrastructure, staff skills to innovate new unit designs, and motivating students are the other challenging areas. Therefore, a new teaching and learning framework is required to overcome all the challenges for future learning.
Investigation of Hydrodynamic Parameters in an Airlift Photobioreactor on CO2 Biofixation by Spirulina sp.
Authors: Zarei Zahra , Malekshahi Peyman , Trzcinski Antoine P. , Morowvat Mohammad Hossein
Published: June 2022

The rise of CO2 concentration on Earth is a major environmental problem that causes global warming. To solve this issue, carbon capture and sequestration technologies are becoming more and more popular. Among them, cyanobacteria can efficiently sequestrate CO2, which is an eco-friendly and cost-effective way of reducing carbon dioxide, and algal biomass can be harvested as valuable products. In this study, the hydrodynamic parameters of an airlift photobioreactor such as gas holdup, mean bubble diameter and liquid circulation velocity were measured to investigate CO2 biofixation by Spirulina sp. The total gas holdup was found to increase linearly with the increase in the gas velocity from 0.185 to 1.936 cm/s. The mean bubble velocities in distilled water only and in the cyanobacterial culture on the first and sixth days of cultivation were 109.97, 87.98, and 65.89 cm/s, respectively. It was found that shear stress at gas velocities greater than 0.857 cm/s led to cyanobacterial death. After 7 days of batch culture, the maximum dry cell weight reached 1.62 g/L at the gas velocity of 0.524 cm/s, whereas the highest carbon dioxide removal efficiency by Spirulina sp. was 55.48% at a gas velocity of 0.185 cm/s, demonstrating that hydrodynamic parameters applied in this study were suitable to grow Spirulina sp. in the airlift photobioreactor and remove CO2.
Sustainable Practicalities towards Good Governance in Fish Townships and Villages by Ethics-Based Approach
Authors: He Yuru , Huang Shuolin , Tang Yi
Published: June 2022

As humanity’s moral failure leads to wild aquatic resources decline, habitat destruction and community tension, an ethically sound path towards good governance is increasingly needed globally. To epitomize sustainable paradigm shifts of grassroots practicalities in the fish sector, an ethical governance framework is initially conceptualized with a meta-governance infrastructure and a value-based decision-making mechanism. The ethical approach is then contextualized by using fish-specific evidence and outlining evolution of participatory fisheries and aquaculture management in rural China as a case study. The empirical investigation of socio-ecological justice manifested in social empowerment, ethical conduct and ecological resilience reveals that in China: fisheries and aquaculture governance models have been transforming from hierarchical governance to integrated governance combining hierarchy, market and community; participatory ethics are embedded in civil organizations upgraded from fishery association, offices, leagues to societies and cooperatives, indicating a multi-stakeholder governance mechanism steered by the government as meta-governor; villagers’ committees play a critical intermediary role in extending township governance and promoting autonomy of fishermen (farmers); local knowledge and traditional code of conduct regulates fish activities of fishermen (farmers) ready for community cooperation and mutual assistance; fish communities adopt socio-ecological measures to ensure property rights to fish (farm) and conserve aquatic resources. The current study aims to provide value reference in leveraging justified policy tools while promoting legitimacy of fish grassroots governance, in hope of contributing to a greener future of fisheries and aquaculture worldwide.
A Study of the Spatial Structure and Regional Interaction of Agricultural Green Total Factor Productivity in China Based on SNA and VAR Methods
Authors: Chen Haisheng , Zhu Shuiping , Sun Jianjun , Zhong Kaiyang , Shen Manhong , Wang Xiaoli
Published: June 2022

As regional interaction increases in an open economy, a region’s green total factor productivity in agriculture must be considered alongside relationships with other regions. In this study, the slack-based model (SBM) global Malmquist–Luenberger (GML) index is used to measure the green total factor productivity of agriculture in each province of China, and the social network analysis (SNA) and vector autoregressive model (VAR) impulse response function (IRF) are used to examine the spatial network structure and regional interactivity. The research confirms that the absolute value and concentration of agricultural green total factor productivity are generally higher in the south than in the north of China, but the peak is lower in the south than in the north. The network density of agricultural green total factor productivity in China from 2008 to 2019 shows an increase, with the cut-off values of mean, 10, 50, and 100 treated as 4.97%, 2.57%, 3.30%, and 2.43%, respectively. From 2008 to 2019, the central potentials of network entry and network exit of green total factor productivity in China’s agriculture show a “V”-shaped and inverted “V”-shaped evolution path, respectively, with the density of cohesive subgroups growing, which demonstrates that the spatial structure of green total factor productivity in Chinese agriculture has experienced an evolutionary path from polycentric to monocentric to polycentric conditions. The spatial interaction of different cohesive subgroups is intensifying and has a certain degree of self-stability. In terms of regional interaction, the siphon effect of the east on the green development of agriculture in the central and western regions is significant, but the trickle-down effect is not obvious, and the interaction between the central and western regions has a catalytic effect on the efficiency of the green economy of agriculture in both regions. It is recommended that targeted policies be introduced to support the flow of agricultural factors and industrial division of labour between the central and western regions and the south and north, taking into account the actual situation. The novelty of this paper is that it focuses on the green total factor productivity of Chinese agriculture and combines the innovative use of the social network analysis paradigm to analyse the green development of agriculture in a country from a spatial dynamic evolutionary perspective. A limitation of the research methodology in this paper is its poor applicability to closed economy analysis.
Environmental and Economic Life-Cycle Assessments of Household Food Waste Management Systems: A Comparative Review of Methodology and Research Progress
Authors: Yang Na , Li Fangling , Liu Yang , Dai Tao , Wang Qiao , Zhang Jiebao , Dai Zhiguang , Yu Boping
Published: June 2022

Household food waste (HFW) is the main component of municipal solid waste (MSW). Appropriate HFW management strategies could reduce the environmental burdens and economic costs to society. Life-cycle thinking is an effective decision-making tool for MSW management. This paper compares the three main environmental and economic assessment methodologies, i.e., societal life-cycle costing (societal LCC), environmental cost-effectiveness (ECE) analysis, and multicriteria analysis (MCA) in terms of the definitions, method frameworks, and their advantages/disadvantages. Most reviewed studies applied the environmental life-cycle costing (ELCC) method, a simplified ECE, which does not involve interactive quantitative comparisons between environmental and economic benefits. Further attention should be paid to the coordination between life-cycle assessment (LCA) and life-cycle costing (LCC), the monetization coefficient in external cost calculation of societal LCC, and the standardization and evaluation approaches of ECE. HFW prevention is rarely considered in the reviewed literature but was demonstrated as the best route over treatment or utilization. Anaerobic digestion is environmentally preferable to composting and landfilling; it is comparable to biodiesel production, feeding conversation, and incineration. From the perspective of economic costs (including societal LCC), the ranking of treatment technologies varied a lot from one study to another, attributable to the diverse evaluation methods and different data sources. To improve the environmental and economic assessment approaches to HFW management, an inventory database (e.g., food waste properties, technical treatment parameters, material flow, and fund flow data) suitable for HFW should be constructed. When establishing the system boundaries, the processes of source sorting, collection and transportation, and by-product handling should be coherent with the investigated treatment technology.
PERMA Model of Well-Being Applied to Portuguese Senior Tourists: A Confirmatory Factor Analysis
Authors: Mendes José , Medeiros Teresa , Silva Osvaldo , Tomás Licínio , Silva Luís , Ferreira Joaquim A.
Published: June 2022

Tourism has been affirmed as an activity that promotes health and well-being. The present study aims to present a confirmatory analysis of the PERMA model in a sample of Portuguese senior tourists who visited the island of São Miguel (Azores). After approval of the study by the ethics committee (reference 6/2022), a Sociodemographic Questionnaire, PERMA Profiler, and Life Satisfaction Scale—SWLS were applied to 1083 senior tourists (≥55 years) of various nationalities. To evaluate the PERMA model for senior tourism in Portugal, a total of 434 senior tourists of Portuguese nationality were extracted from the sample. The results revealed that most of the participants attributed scores above the midpoint in the five dimensions of PERMA (positive emotions, engagement, relationships, meaning, accomplishment) and in the satisfaction with life scale. Using scale reliability analyses, we found that some of the dimensions in the PERMA model showed relatively low values both for Cronbach alpha and composite reliability. Several confirmatory structural equation models (single factorial, second order, and five factors) were calculated, as well as the usual adjustment measures, with the five-factor PERMA model presenting the best structure, although with a relatively low fit. The modification of the model by the weight of regressions between some of the items with larger covariances allowed a better adjustment: χ2(73) = 264.960, p < 0.001, χ2/df = 3.63, CFI = 0.94, TLI = 0.91, IFI = 0.94; GFI = 0.92, RMSEA = 0.078, p < 0.001. Although the results revealed that the experiences of senior tourists when visiting the island of São Miguel contributed significantly to their well-being and the modified model presented superior adjustment quality, future studies are suggested to evaluate the quality of the PERMA model applied to tourism.
Yurt Invited: Combining Tourists and Stakeholders Perceptions of Sustainable Community-Based Tourism in Central Asia
Authors: Usmonova Gulnoza , Alieva Deniza , León Carmelo J.
Published: June 2022

Community-based tourism represents an opportunity for sustainable socioeconomic development, helping local populations to emerge out of lower living conditions. This paper investigates the perceptions of tourists and stakeholders engaged in Community-Based Tourism (CBT) in Central Asian countries (including Kazakhstan, Uzbekistan, Kyrgyzstan, Tajikistan, and Turkmenistan) as an opportunity for sustainable development. This study’s purpose is to point out the usefulness of a combination approach of stakeholders’ and tourists’ perceptions to address the opportunities of CBT that can improve the quality of life of the tourism community in Central Asia by identifying the pitfalls of practices and determining challenges for tourism policy. Using a mixed-method approach, two complementary methodologies are simultaneously conducted. (1) An in-depth interview approach with sixteen selected experts in the region was processed with semantic network analysis for the definition of the main challenges and opportunities facing CBT as an enabler of sustainable development, considering the perceptions of sustainability from the point of view of stakeholders. (2) An online survey involving one hundred twenty-five tourists to the region was carried out to focus on tourists’ perceptions of sustainability. A structural equation modelling technique was used to identify the influence of tourists’ sustainability preferences and their involvement with local communities on sustainability perceptions. The results highlight the benefits the community receives, as well as future opportunities to obtain more advantages from tourism practices within the scope of sustainable tourism planning.
Working Conditions, Export Decisions, and Firm Constraints-Evidence from Vietnamese Small and Medium Enterprises
Authors: Phan Trang Hoai
Published: June 2022

Better working conditions promote employee creativity and loyalty. Meanwhile, a stable and skilled workforce contributes to a firm’s sustainable growth. Therefore, providing favorable working conditions is one of the critical sustainable goals of many countries worldwide. However, some critics are concerned participating in international trade causes worsening employment conditions in developing countries. Driven by these concerns, the relationship between exports and labor conditions is worth illuminating. This study adopts the data from Vietnam’s small and medium-sized manufacturing enterprises (SMEs). The dataset was collected by the Ministry of Labour, Invalids and Social Affairs (MOLISA) and the University of Copenhagen, UNU-WIDER from 2011 to 2015. Unlike previous studies, this study clusters firms by export status, including four groups: non-exporting, consecutive exporting, start-exporting, and exit-exporting. Observing dynamic exports sheds light on the effects of export decisions more thoroughly than the static export. Another contribution, this study focuses on an essential aspect of working conditions: providing fringe benefits. Subsequently, the analysis is upgraded by controlling for firm constraints as interaction variables. A major constraint and financial constraint are adopted to proxy for a firm’s constraints. This work promotes assessments to be more accurate, thereby providing more valuable information to policymakers. Finally, a robustness test is applied to each type of fringe benefit. Instrumental variables are used to solve the problem of endogeneity. The results found that exporting firms provide better working conditions. Additionally, constrained firms have worse working conditions.
Laboratory Evaluation of Storage Stability for CRM Asphalt Binders
Authors: Yun Jihyeon , Hemmati Navid , Lee Moon-Sup , Lee Soon-Jae
Published: June 2022

This paper conveys the laboratory investigation of the storage stability of CRM binder as a basic study. The CRM binder was produced through the wet process in the laboratory. The percentages of crumb rubber used for rubberized binder were 5%, 10%, 15% and 20%. The samples were prepared according to ASTM D7173. In order to evaluate the properties of each part of the binders, tests were carried out through the rotational viscosity and viscoelasticity, and the separation index was assessed with the G*/sin δ and %rec. In general, the results of this study revealed that (1) the conditioned CRM binders appeared to have higher viscosity in the bottom part compared to the middle and top parts.; (2) similar to the viscosity results, the CRM binders after conditioning showed the highest G*/sin δ value in the bottom part; (3) from the MSCR test, Jnr and % rec values are observed to have a similar trend with G*/sin δ results, although some of the data were not measured due to the higher load than the DSR test; and (4) it was discovered that the SI from G*/sin δ generally used was suitable for evaluating the storage stability of CRM asphalt binders, compared to the SI from % rec.
Spatiotemporal Variability of Human Disturbance Impacts on Ecosystem Services in Mining Areas
Authors: Liu Shaobo , Liu Li , Li Jiang , Zhou Qingping , Ji Yifeng , Lai Wenbo , Long Cui
Published: June 2022

Human activities pose significant impacts on ecosystem services (ESs) in mining areas, which will continually increase over time and space. However, the mechanism of ES change on spatiotemporal scales post-disturbance remains unclear, especially in the context of global climate change. Here, we conducted a global literature review on the impact of two of the most frequent disturbance factors (mining and restoration) on 27 different ESs, intending to synthesize the impacts of human disturbance on ESs in mining areas via a meta-analysis, and analyze the spatiotemporal variability of ESs after disturbance. We screened 3204 disturbance studies published on the Web of Science between 1950 and 2020 and reviewed 340 in detail. The results of independence test showed that human disturbance had a significant impact on ESs in the mining areas (p < 0.001). The impacts (positive and/or negative) caused by mining and restoration differed considerably among ESs (even on the same ESs). Additionally, spatiotemporal scales of human disturbance were significantly related to spatiotemporal scales of ES change (p < 0.001). We found that the positive and negative impacts of disturbances on ESs may be interconversion under specific spatiotemporal conditions. This seems to be associated with spatiotemporal variability, such as the temporal lag, spatial spillover, and cumulative spatiotemporal effects. Climate changes can lead to further spatiotemporal variability, which highlights the importance of understanding the changes in ESs post-disturbance on spatiotemporal scales. Our research presents recommendations for coping with the twofold pressure of climate change and spatiotemporal variability, to understand how ESs respond to human disturbance at spatiotemporal scales in the future, and manage disturbances to promote sustainable development in mining areas.
Applicability Assessment of Active Safety Systems for Motorcycles Using Population-Based Crash Data: Cross-Country Comparison among Australia, Italy, and USA
Authors: Terranova Paolo , Dean Morgan E. , Lucci Cosimo , Piantini Simone , Allen Trevor J. , Savino Giovanni , Gabler Hampton C.
Published: June 2022

The role of powered two-wheeler (PTW) transport from the perspective of a more sustainable mobility system is undermined by the associated high injury risk due to crashes. Motorcycle-based active safety systems promise to avoid or mitigate many of these crashes suffered by PTW riders. Despite this, most systems are still only in the prototype phase and understanding which systems have the greatest chance of reducing crashes is an important step in prioritizing their development. Earlier studies have examined the applicability of these systems to individual crash configurations, e.g., rear-end vs. intersection crashes. However, there may be large regional differences in the distribution of PTW crash configurations, motorcycle types, and road systems, and hence in the priority for the development of systems. The study objective is to compare the applicability of five active safety systems for PTWs in Australia, Italy, and the US using real-world crash data from each region. The analysis found stark differences in the expected applicability of the systems across the three regions. ABS generally resulted in the most applicable system, with estimated applicability in 45–60% of all crashes. In contrast, in 20–30% of the crashes in each country, none of the safety systems analyzed were found to be applicable. This has important implications for manufacturers and researchers, but also for regulators, which may demand country-specific minimum performance requirements for PTW active safety countermeasures.
A Methodological Proposal for the Climate Change Risk Assessment of Coastal Habitats Based on the Evaluation of Ecosystem Services: Lessons Learnt from the INTERREG Project ECO-SMART
Authors: Barausse Alberto , Meulenberg Cécil , Occhipinti Irene , Abordi Marco , Endrizzi Lara , Guadagnin Giovanna , Piron Mirco , Visintin Francesca , Vižintin Liliana , Manzardo Alessandro
Published: June 2022

Climate change is seriously impacting coastal biodiversity and the benefits it provides to humans. This issue is particularly relevant in the case of the European Union’s Natura 2000 network of areas for nature protection, where the sensitivity of local ecosystems calls for intervention to increase resistance and resilience to climate-related risks. Given the complex ways in which climate can influence conservation hotspot areas, there is a need to develop effective strategic approaches and general operational models to identify priorities for management and inform adaptation and mitigation measures. Here, a novel methodological proposal to perform climate risk assessment in Natura 2000 sites is presented that implements the systematic approach of ISO 14090 in combination with the theoretical framework of ecosystem services assessment and local stakeholder participation to identify climate-related issues for local protected habitats and improve the knowledge base needed to plan sustainable conservation and restoration measures. The methodology was applied to five Natura 2000 sites located along the Adriatic coast of Italy and Slovenia. Results show that each of the assessed sites, despite being along the coast of the same sea, is affected by different climate-related issues, impacting different habitats and corresponding ecosystem services. This novel methodology enables a simple and rapid screening for the prioritization of conservation actions and of the possible further investigations needed to support decision making, and was found to be robust and of general applicability. These findings highlight the importance of designing site-specific adaptation measures, tailored to address the peculiar response to climate change of each site in terms of biodiversity and ecosystem services.
Evaluation of the Resilience of the Socio-Hydrological System of the Tarim River Basin in China and Analysis of the Degree of Barriers
Authors: Pang Ning , Deng Xiaoya , Long Aihua , Zhang Lili , Gu Xinchen
Published: June 2022

The study of changes in the resilience of socio-hydrological systems in arid zones is of great significance to ensure the sustainable development of socio-economic and water resources in arid zones. In order to fully understand the level of resilience development of the Tarim River Basin socio-hydrological system and the main impediments to its development, we constructed a resilience evaluation model of the Tarim River Basin socio-hydrological system from two aspects, vulnerability and adaptability, which is what makes this paper different from other studies. The evaluation index weights were determined using a comprehensive assignment, and the barrier factors and evolutionary characteristics of the system resilience were revealed based on the TOPSIS algorithm and barrier degree model. The results show that (1) during the period 2001–2020, the resilience of the socio-hydrological system in the Tarim River Basin showed a fluctuating upward trend, with the calculated values mainly in the range of 0.8–1.5, and the overall resilience level was mainly at the medium or good level; (2) from the changes in each criterion layer, the vulnerability and adaptability of the Tarim River Basin showed a fluctuating upward trend from 2001 to 2020, with an increase in vulnerability and adaptability; and (3) the main barriers to the resilience of the socio-hydrological system in the Tarim River Basin are the degree of pollution of surface water sources and the amount of water consumption per 10,000 yuan of GDP. We believe that we should continue to change the economic development model, vigorously develop water-saving irrigation technology, improve water resource utilisation and economic benefits, and improve the overall resilience of the socio-hydrological system. A full understanding of the evolutionary characteristics of the resilience of socio-hydrological systems and the main influencing factors can provide a theoretical basis for future water resources development and utilisation, socio-economic development, and related policy formulation.
Recent Progress in Sludge Co-Pyrolysis Technology
Authors: Han Lei , Li Jinling , Qu Chengtun , Shao Zhiguo , Yu Tao , Yang Bo
Published: June 2022

With the development of society and industry, the treatment and disposal of sludge have become a challenge for environmental protection. Co-pyrolysis is considered a sustainable technology to optimize the pyrolysis process and improve the quality and performance of pyrolysis products. Researchers have investigated the sludge co-pyrolysis process of sludge with other wastes, such as biomass, coal, and domestic waste, in laboratories. Co-pyrolysis technology has reduced pyrolysis energy consumption and improved the range and quality of pyrolysis product applications. In this paper, the various types of sludge and the factors influencing co-pyrolysis technology have been classified and summarized. Simultaneously, some reported studies have been conducted to investigate the co-pyrolysis characteristics of sludge with other wastes, such as biomass, coal, and domestic waste. In addition, the research on and development of sludge co-pyrolysis are expected to provide theoretical support for the development of sludge co-pyrolysis technology. However, the technological maturity of sludge pyrolysis and co-pyrolysis is far and needs further study to achieve industrial applications.
An Integrated Assessment of the Competitiveness of a Sustainable City within the Context of the COVID-19 Impact
Authors: Činčikaitė Renata , Meidutė-Kavaliauskienė Ieva
Published: June 2022

It is crucial for a city to ensure economic stability and growth, along with social security and prosperity, not only for the present, but also for future generations. Increasingly, researchers are highlighting the need to apply sustainable urban growth principles to the field of urban development, arguing that this would reduce the negative impacts of urbanization processes (poverty, air pollution, unemployment, and crime). At the same time, cities are competing with one another to maintain their position in the urban hierarchy, not only in the short term, but also in the long term. The COVID-19 pandemic affected many areas of our everyday life: over 5.85 million deaths, increased unemployment, the introduction of restrictions, the closure of national borders, and various other circumstances have all undoubtedly affected to a certain degree those factors which serve to influence competitiveness. The aim of this article is to conduct an integrated competitiveness assessment of the Baltic capitals within the context of the impact of the COVID-19 pandemic for the period 2015–2020, according to an integrated assessment model for urban competitiveness (MDK), which is based upon the principles of sustainable development. A systematic and comparative analysis of the concepts published in the scientific literature has been performed, the concepts of sustainable city and sustainable urban competitiveness have been formed, research and methods of urban competitiveness evaluation have been carried out, and a comprehensive competitiveness assessment of the results of the study showed that the evaluation of integrated competitiveness of a sustainable city in the context of the impact of COVID-19 (using the Baltic capitals as an example in the period 2015–2020), in terms of the multi-criteria SAW and TOPSIS evaluation methods, is in the highest position in 2016–2019. Vilnius is in second place during the whole period 2016–2019. Riga takes third place in 2015–2019 (except in 2020, when it exchanges places with Vilnius and takes second place). Meanwhile, the results of the COPRAS multicriteria method differ from those discussed above. In 2016, 2019, and 2020, Tallinn is in the highest position, and in 2015, 2017, and 2018, it is surpassed by Vilnius. Riga remained in third place from 2015 to 2019. In 2020, Vilnius took over this position.
Wheat Production in Drought-Prone Agro-Ecologies in Ethiopia: Diagnostic Assessment of Farmers’ Practices and Sustainable Coping Mechanisms and the Role of Improved Cultivars
Authors: Belete Yared , Shimelis Hussein , Laing Mark
Published: June 2022

Wheat (Triticum aestivum L.) is traditionally cultivated under drought-affected and low-input agro-ecologies in sub-Saharan Africa, including Ethiopia. Wheat productivity in these agro-systems is considerably low (<2.4 t/ha) due to climate change-induced drought and heat stress, a lack of modern production technologies, including climate-smart varieties, and an array of biotic and abiotic factors. The objective of this study was to determine the potential of wheat production in drought-prone agro-ecologies and to assess farmers’ practices and sustainable coping mechanisms and the role of improved cultivars in Ethiopia. A participatory rural appraisal (PRA) study was conducted involving 170 randomly selected wheat farmers in the drier areas of Arsi Zone of the Oromia Regional State. Results showed that wheat and tef (Eragrostis tef Zucc.) and barley (Hordeum vulgare L.) were the most widely grown cereal crops in the study areas as the primary food source and cash income. Yield losses varying from 63.1 to 73.8% were reported by farmers due to drought stress occurring mainly during grain filling stage. The majority of the respondent farmers (>50%) planted wheat in early July using the broadcasting method. Their land was of medium fertility, and the application of inorganic fertilizer was suboptimal. Due to crop failures by intense drought conditions in the study areas, above 50% of the respondent farmers had not expressed coping strategies against drought stress except resorting to government food aid. However, about 22% of the respondent farmers reported improved agronomic practices, such as the cultivation of early maturing wheat varieties and soil and water conservation methods as sustainable solutions to mitigate against drought. Therefore, current and future wheat breeding in Ethiopia should target drought and heat stress tolerance and adaptive crop traits as ideal coping strategies under low input agriculture systems for sustainable wheat production and productivity.
Risk Monitoring Level of Stope Slopes and Landslides in High-Altitude and Cold Mines
Authors: Zhang Ruichong , Wu Shiwei , Xie Chengyu , Chen Qingfa
Published: June 2022

To study the landslide risk of high-altitude and cold stope slopes, the slope deformation index and landslide risk standards at home and abroad for many years were analyzed and summarized. Using the unascertained measurement model, combined with the analytic hierarchy process, using the Dongbang slope of the Beizhan Iron Mine in Hejing County, Xinjiang, as the research object, the detailed geological data of the slope were obtained, and nine factors affecting the landslide risk of the slope were analyzed. When calculating the weight of each factor, the actual situation of the slope was used as the standard, and the weight of each factor was determined by the analytic hierarchy process. Then, the undetermined measurement matrix of the slope was determined by the statistical method combined with the expert scoring results. Finally, an unconfirmed measurement model for landslide risk grade evaluation of the Dongbang slope of the Beizhan Iron Mine was formed, and the landslide risk monitoring grade evaluation was carried out on the slope in the cold area. The results show that the landslide risk monitoring level of the Dongbang slope in Beizhan Iron Mine is grade II, which indicates that there is a possibility of mild landslide risk for the slope in this cold area. The research results can provide a reference for the risk level and risk assessment of high-altitude alpine slopes.
Application of Trichoderma viride and Pseudomonas fluorescens to Cabbage (Brassica oleracea L.) Improves Both Its Seedling Quality and Field Performance
Authors: Vij Shilpa , Sharma Neha , Sharma Meenakshi , Mohanta Tapan , Kaushik Prashant
Published: June 2022

Inoculating cabbage (Brassica oleracea L.) plants with bio-control agents and plant growth-promoting rhizobacteria (PGPR) can considerably improve seedling quality, growth, yield, and yield-related parameters over time. An experiment was conducted to evaluate the bio-fertilizer efficiency of a bio-control agent (Trichoderma viride) alone or in combination with PGPR (Pseudomonas fluorescens). Accordingly, various seedling quality and yield parameters were studied, and the results suggested that all the co-inoculation treatments displayed beneficial effects. Still, the combination of Trichoderma viride and Pseudomonas fluorescens showed the maximum increment in all the parameters considered, i.e., seedling emergence, seedling height, stem diameter, leaf area, root length, seedling vigour index, seedling fresh weight, seedling dry weight, total chlorophyll content, plant height at 30 DAT, plant height at 60 DAT, leaf numbers, leaf area index, root length, root dry weight, number of non-wrapping leaves, number of wrapping leaves, head weight, head diameter, and head yield. The findings appear to offer a viable bio-control technique for crop protection as bio-fertilizers bundled in a single formulation.
Evaluating Nature-Based Tourism Destination Attractiveness with a Fuzzy-AHP Approach
Authors: Gu Xiaoping , Hunt Carter A. , Jia Xiang , Niu Lijun
Published: June 2022

Nature-based tourism attractiveness (NBTA) has yet to be assessed by coupling empirical measurement of supply and demand indicators with simultaneous assessment of tourist and tourism expert perspectives. Based on a guiding principle that the overall attractiveness of a tourism destination should combine the evaluation of existing resources or attractions and their perceived attractiveness, the purpose of this study is to develop and apply a novel methodological approach for assessing tourism attractiveness of nature-based destinations. This approach developed here combines an Analytic Hierarchy Process (AHP) with a Fuzzy Comprehensive Evaluation Method (FCEM). The resulting Fuzzy-AHP approach to NBTA was tested at the Changbai Mountain Biosphere Reserve, a popular nature-based tourism destination in China. The findings confirm that this Fuzzy-AHP approach is a more reliable and comprehensive method for evaluating the destination attractiveness than pre-existing approaches. In addition to theoretical contributions related to the merging of various approaches to assessing destination attractiveness and the development of a tool specific to nature-based tourism destinations, this work will be of interest to decision makers seeking more effective tools for planning, marketing, and developing nature-based tourism destinations.
Characterizing Fishing Behaviors and Intensity of Vessels Based on BeiDou VMS Data: A Case Study of TACs Project for Acetes chinensis in the Yellow Sea
Authors: Li Guodong , Xiong Ying , Zhong Xiaming , Song Dade , Kang Zhongjie , Li Dongjia , Yang Fan , Wu Xiaorui
Published: June 2022

The total allowable catch system (TACs) is a basic, widely used system for maintaining marine fishery resources. The vessel monitoring system (VMS) provides a superior method to monitor fishing activities that serve TACs project management. However, few studies have been conducted on this topic. Here, an artificial neural network was used to identify vessel position states based on BeiDou VMS data and fishing logs of vessels under the TACs project for Acetes chinensis in the Yellow Sea in 2021. Furthermore, fishing behaviors and intensity were explored. The results showed significant differences in the speed of vessels in different states (p < 0.01). Casting occurred during the day, and the azimuth of fishing nets for shrimp ranged from 60 to 90° or 240 to 270°. The length of the fishing nets of each vessel was mostly between 3500 and 4500 m. In addition, the fishing efforts of the vessels showed an obvious aggregated distribution. The main area was at 120°04′–120°16′ E, 34°42′–34°46′ N, whereas fishing intensity ranged from 120,000 to 280,000 m2·h/km2. Finally, this study provides a scientific basis for TACs project management and a VMS data mining and application expansion standard.