bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluation of Three Portable Optical Sensors for Non-Destructive Diagnosis of Nitrogen Status in Winter Wheat
Authors: Jiang Jie , Wang Cuicun , Wang Hui , Fu Zhaopeng , Cao Qiang , Tian Yongchao , Zhu Yan , Cao Weixing , Liu Xiaojun
Published: August 2021

The accurate estimation and timely diagnosis of crop nitrogen (N) status can facilitate in-season fertilizer management. In order to evaluate the performance of three leaf and canopy optical sensors in non-destructively diagnosing winter wheat N status, three experiments using seven wheat cultivars and multi-N-treatments (0–360 kg N ha−1) were conducted in the Jiangsu province of China from 2015 to 2018. Two leaf sensors (SPAD 502, Dualex 4 Scientific+) and one canopy sensor (RapidSCAN CS-45) were used to obtain leaf and canopy spectral data, respectively, during the main growth period. Five N indicators (leaf N concentration (LNC), leaf N accumulation (LNA), plant N concentration (PNC), plant N accumulation (PNA), and N nutrition index (NNI)) were measured synchronously. The relationships between the six sensor-based indices (leaf level: SPAD, Chl, Flav, NBI, canopy level: NDRE, NDVI) and five N parameters were established at each growth stages. The results showed that the Dualex-based NBI performed relatively well among four leaf-sensor indices, while NDRE of RS sensor achieved a best performance due to larger sampling area of canopy sensor for five N indicators estimation across different growth stages. The areal agreement of the NNI diagnosis models ranged from 0.54 to 0.71 for SPAD, 0.66 to 0.84 for NBI, and 0.72 to 0.86 for NDRE, and the kappa coefficient ranged from 0.30 to 0.52 for SPAD, 0.42 to 0.72 for NBI, and 0.53 to 0.75 for NDRE across all growth stages. Overall, these results reveal the potential of sensor-based diagnosis models for the rapid and non-destructive diagnosis of N status.
Modeling Optimal Location Distribution for Deployment of Flying Base Stations as On-Demand Connectivity Enablers in Real-World Scenarios
Authors: Pokorny Jiri , Seda Pavel , Seda Milos , Hosek Jiri
Published: August 2021

The amount of internet traffic generated during mass public events is significantly growing in a way that requires methods to increase the overall performance of the wireless network service. Recently, legacy methods in form of mobile cell sites, frequently called cells on wheels, were used. However, modern technologies are allowing the use of unmanned aerial vehicles (UAV) as a platform for network service extension instead of ground-based techniques. This results in the development of flying base stations (FBS) where the number of deployed FBSs depends on the demanded network capacity and specific user requirements. Large-scale events, such as outdoor music festivals or sporting competitions, requiring deployment of more than one FBS need a method to optimally distribute these aerial vehicles to achieve high capacity and minimize the cost. In this paper, we present a mathematical model for FBS deployment in large-scale scenarios. The model is based on a location set covering problem and the goal is to minimize the number of FBSs by finding their optimal locations. It is restricted by users’ throughput requirements and FBSs’ available throughput, also, all users that require connectivity must be served. Two meta-heuristic algorithms (cuckoo search and differential evolution) were implemented and verified on a real example of a music festival scenario. The results show that both algorithms are capable of finding a solution. The major difference is in the performance where differential evolution solves the problem six to eight times faster, thus it is more suitable for repetitive calculation. The obtained results can be used in commercial scenarios similar to the one used in this paper where providing sufficient connectivity is crucial for good user experience. The designed algorithms will serve for the network infrastructure design and for assessing the costs and feasibility of the use-case.
The Added Value of Musculoskeletal Simulation for the Study of Physical Performance in Military Tasks
Authors: Kessels Ilona , Koopman Bart , Verdonschot Nico , Marra Marco , Gijsbertse Kaj
Published: August 2021

The performance of military tasks is often exacerbated by additional load carriage, leading to increased physical demand. Previous studies showed that load carriage may lead to increased risk of developing musculoskeletal injuries, a reduction in task speed and mobility, and overall performance degradation. However, these studies were limited to a non-ambulatory setting, and the underlying causes of performance degradation remain unclear. To obtain insights into the underlying mechanisms of reduced physical performance during load-carrying military activities, this study proposes a combination of IMUs and musculoskeletal modeling. Motion data of military subjects was captured using an Xsens suit during the performance of an agility run under three different load-carrying conditions (no load, 16 kg, and 31 kg). The physical performance of one subject was assessed by means of inertial motion-capture driven musculoskeletal analysis. Our results showed that increased load carriage led to an increase in metabolic power and energy, changes in muscle parameters, a significant increase in completion time and heart rate, and changes in kinematic parameters. Despite the exploratory nature of this study, the proposed approach seems promising to obtain insight into the underlying mechanisms that result in performance degradation during load-carrying military activities.
Review of Wearable Devices and Data Collection Considerations for Connected Health
Authors: Vijayan Vini , Connolly James P. , Condell Joan , McKelvey Nigel , Gardiner Philip
Published: August 2021

Wearable sensor technology has gradually extended its usability into a wide range of well-known applications. Wearable sensors can typically assess and quantify the wearer’s physiology and are commonly employed for human activity detection and quantified self-assessment. Wearable sensors are increasingly utilised to monitor patient health, rapidly assist with disease diagnosis, and help predict and often improve patient outcomes. Clinicians use various self-report questionnaires and well-known tests to report patient symptoms and assess their functional ability. These assessments are time consuming and costly and depend on subjective patient recall. Moreover, measurements may not accurately demonstrate the patient’s functional ability whilst at home. Wearable sensors can be used to detect and quantify specific movements in different applications. The volume of data collected by wearable sensors during long-term assessment of ambulatory movement can become immense in tuple size. This paper discusses current techniques used to track and record various human body movements, as well as techniques used to measure activity and sleep from long-term data collected by wearable technology devices.
SG-WAS: A New Wireless Autonomous Night Sky Brightness Sensor
Authors: Alarcon Miguel R. , Puig-Subirà Marta , Serra-Ricart Miquel , Lemes-Perera Samuel , Mallorquín Manuel , López César
Published: August 2021

The main features of SG-WAS (SkyGlow Wireless Autonomous Sensor), a low-cost device for measuring Night Sky Brightness (NSB), are presented. SG-WAS is based on the TSL237 sensor –like the Unihedron Sky Quality Meter (SQM) or the STARS4ALL Telescope Encoder and Sky Sensor (TESS)–, with wireless communication (LoRa, WiFi, or LTE-M) and solar-powered rechargeable batteries. Field tests have been performed on its autonomy, proving that it can go up to 20 days without direct solar irradiance and remain hibernating after that for at least 4 months, returning to operation once re-illuminated. A new approach to the acquisition of average NSB measurements and their instrumental uncertainty (of the order of thousandths of a magnitude) is presented. In addition, the results of a new Sky Integrating Sphere (SIS) method have shown the possibility of performing mass device calibration with uncertainties below 0.02 mag/arcsec2. SG-WAS is the first fully autonomous and wireless low-cost NSB sensor to be used as an independent or networked device in remote locations without any additional infrastructure.
Measuring Viscosity Using the Hysteresis of the Non-Linear Response of a Self-Excited Cantilever
Authors: Mouro João , Paoletti Paolo , Basso Michele , Tiribilli Bruno
Published: August 2021

A self-oscillating microcantilever in a feedback loop comprised of a gain, a saturator, and an adjustable phase-shifter is used to measure the viscosity of Newtonian fluids. Shifting the signal of the loop with the adjustable phase-shifter causes sudden jumps in the oscillation frequency of the cantilever. The exact position of these jumps depends on whether the shift imposed by the phase-shifter is increasing or decreasing and, therefore, the self-excited cantilever exhibits a hysteretic non-linear response. This response was studied and the system modeled by a delay differential equation of motion where frequency-dependent added mass and damping terms accounted for the density and the viscosity of the medium. Experimental data were obtained for solutions with different concentrations of glycerol in water and used to validate the model. Two distinct sensing modalities were proposed for this system: the sweeping mode, where the width of the observed hysteresis depends on the viscosity of the medium, and the threshold mode, where a sudden jump of the oscillation frequency is triggered by an arbitrarily small change in the viscosity of the medium.
Evaluating the Work Productivity of Assembling Reinforcement through the Objects Detected by Deep Learning
Authors: Li Jiaqi , Zhao Xuefeng , Zhou Guangyi , Zhang Mingyuan , Li Dongfang , Zhou Yaochen
Published: August 2021

With the rapid development of deep learning, computer vision has assisted in solving a variety of problems in engineering construction. However, very few computer vision-based approaches have been proposed on work productivity’s evaluation. Therefore, taking a super high-rise project as a research case, using the detected object information obtained by a deep learning algorithm, a computer vision-based method for evaluating the productivity of assembling reinforcement is proposed. Firstly, a detector that can accurately distinguish various entities related to assembling reinforcement based on CenterNet is established. DLA34 is selected as the backbone. The mAP reaches 0.9682, and the speed of detecting a single image can be as low as 0.076 s. Secondly, the trained detector is used to detect the video frames, and images with detected boxes and documents with coordinates can be obtained. The position relationship between the detected work objects and detected workers is used to determine how many workers (N) have participated in the task. The time (T) to perform the process can be obtained from the change of coordinates of the work object. Finally, the productivity is evaluated according to N and T. The authors use four actual construction videos for validation, and the results show that the productivity evaluation is generally consistent with the actual conditions. The contribution of this research to construction management is twofold: On the one hand, without affecting the normal behavior of workers, a connection between construction individuals and work object is established, and the work productivity evaluation is realized. On the other hand, the proposed method has a positive effect on improving the efficiency of construction management.
An Evaluation of the Antioxidant Activity of a Methanolic Extract of Cucumis melo L. Fruit (F1 Hybrid)
Authors: Rajasree R. S. , Ittiyavirah Sibi P. , Naseef Punnoth Poonkuzhi , Kuruniyan Mohamed Saheer , Anisree G. S. , Elayadeth-Meethal Muhammed
Published: August 2021

Cucumis melo L. (C. melo) is a fruit with many medicinal properties and is consumed in various countries. It is utilised for chronic eczema and to treat minor burns and scrapes. The present study was conducted to evaluate the antioxidant activity of a methanolic extract of Cucumis melo Linn (MECM). A coarse powder prepared from the fruit and seeds was extracted with methanol (absolute) by a hot continuous percolation process in accordance with the standard protocols. All the extracts were estimated for potential antioxidant activities with tests such as an estimation of total antioxidant activity, hydroxyl radical and nitric oxide scavenging activity and reducing power ability. The qualitative analysis of the methanolic extract of C. melo fruit showed the presence of various phytochemical constituents such as carbohydrates, alkaloids, sterols, phenolic compounds, terpenes and flavonoids. The total antioxidant activity of concentrations of 50, 100 and 200 µg were tested and observed to be 3.3 ± 0.1732, 6.867 ± 0.5457 and 13.63 ± 0.8295 µg of ascorbic acid, respectively. The results also showed significant nitric oxide and DPPH scavenging activities as well as a reducing power activity of MECM. Thus, our results suggest that MECM may serve as a putative source of natural antioxidants for therapeutic and nutraceutical applications.
Quantitation of Acetyl Hexapeptide-8 in Cosmetics by Hydrophilic Interaction Liquid Chromatography Coupled to Photo Diode Array Detection
Authors: Raikou Vasiliki , Kalogria Eleni , Varvaresou Athanasia , Tsirivas Efthimios , Panderi Irene
Published: August 2021

Bioactive peptides are gaining more and more popularity in the research and development of cosmetic products with anti-aging effect. Acetyl hexapeptide-8 is a hydrophilic peptide incorporated in cosmetics to reduce the under-eye wrinkles and the forehead furrows. Hydrophilic interaction liquid chromatography (HILIC) is the separation technique of choice for analyzing peptides. In this work, a rapid HILIC method coupled to photodiode array detection operated at 214 nm was developed, validated and used to determine acetyl-hexapeptide-8 in cosmetics. Chromatography was performed on a Xbridge® HILIC BEH analytical column using as mobile phase a 40 mM ammonium formate water solution (pH 6.5)-acetonitrile mixture 30:70, v/v at flow rate 0.25 mL min−1. The assay was linear over the concentration range 20 to 30 μg mL−1 for the cosmetic formulations and 0.004 to 0.007% (w/w) for the cosmetic cream. The limits of quantitation for acetyl hexapeptide-8 were 1.5 μg mL−1 and 0.002% (w/w) for the assay of cosmetic formulations and cosmetic creams, respectively. The method was applied to the analysis of cosmetic formulations and anti-wrinkle cosmetic creams.
Mimetic Isomorphism in Non-Profit Organisations (NPO): Sports Associations in the Nord Pas-De-Calais Departments
Authors: Moreau Denis
Published: August 2021

The purpose of our study is to give an account of the process of institutional isomorphism, which, in France, leads non-profit organisations (NPO) to follow the management and professional model used by organisations in the same field because they are larger, better equipped, and have higher-performance tools and better skilled executive managers. In order to investigate this subject, we have built a rigorous methodology. We carried out an investigation by interviewing volunteer leaders running sports NPOs in the Nord and Pas-de-Calais departments (now part of the Hauts-de-France region). In total, we interviewed nearly 80 volunteer members of sports associations employing at least one employee and engaged in a process of professionalization. In the introduction, we highlight the managerial surge that leads associations to move closer to the managerial forms of organizations. To illustrate this phenomenon, we used the concepts of neo-institutional theory and tried to show that institutional isomorphism is collectively accepted by institutional volunteer leaders. In this process of professionalisation that affects sports organisations, our results demonstrate that this isomorphism operates on several levels. At a structural level, our study shows that the organisation imports the management and operating tools from the entrepreneurial model and develops strategies for diversifying its services and innovating its products. At a skills-based level, it appears the skills acquired by volunteers during their professional career are increasingly put to use in work with non-profits. Our study concludes that the isomorphism of sports NPOs is characterised by the need for independent funding, the diversification of activities, the search for innovation and the increased need for skills derived from professional experience. These results have led us to discuss the impact of the mimetic form of this isomorphic process on the non-profit project. The implications of this isomorphism are significant: while this process is very often the result of external pressure on the organisational field, it is also, in certain circumstances, the result of a collective strategy defined by the volunteer leaders running NPOs. Organisations must create the conditions for financial empowerment by increasing their financial resources. This isomorphism in NPOs with the business world is also made possible by hiring volunteers who are better trained and better adapted to new requirements. Finally, we highlight the limitations of our study and the possibilities for future development.
Recent Automation Trends in Portugal: Implications on Industrial Productivity and Employment in Automotive Sector
Authors: Boavida Nuno , Candeias Marta
Published: August 2021

Recent developments in automation and artificial intelligence (AI) are leading to a wave of innovation in organizational design and changes in the workplace. Techno-optimists even named it the “second machine age,” arguing that it now involves the substitution of the human brain. Other authors see this as just a continuation of previous ICT developments. Potentially, automation and AI can have significant technical, economic, and social implications in firms. This paper will answer the following question: What are the implications on industrial productivity and employment in the automotive sector with the recent automation trends, including AI, in Portugal? Our approach used mixed methods to conduct statistical analyses of relevant databases and interviews with experts on R&D projects related to automation and AI implementation. Results suggest that automation can have widespread adoption in the short term in the automotive sector, but AI technologies will take more time to be adopted. The findings show that adoption of automation and AI increases productivity in firms and is dephased in time with employment implications. Investments in automation are not substituting operators but rather changing work organization. Thus, negative effects of technology and unemployment were not substantiated by our results.
The Impact of Short-Term Cross-Cultural Experience on the Intercultural Competence of Participating Students: A Case Study of Australian High School Students
Authors: Nelson Wendy , Luetz Johannes M.
Published: August 2021

Over recent years, globalisation occasioned a dramatic rise in cross-cultural interactions until this was disrupted by the COVID-19 pandemic. The ability to competently engage in a multicultural world is often considered the “literacy of the future”. Global interconnectedness has brought studies into intercultural competence to centre stage. This has increased the demand for cross-cultural education experiences that facilitate such learning. However, there is a dearth of empirical research into the issues and effects surrounding short-term cross-cultural educational experiences for adolescents. This mixed-methods study extends previous research by looking specifically into what impact short-term cross-cultural experiences may have on the formation of intercultural competence (IC) and emotional intelligence (EI) of Australian high school students. This study used two instruments for measuring IC and EI in a pre- and post-test quasi-experimental design (n = 14), the General Ethnocentrism (GENE) Scale and Toronto Empathy Questionnaire (TEQ). Moreover, it conducted in-depth post-experience qualitative interviews (n = 7) that broadly followed a phenomenological paradigm of inquiry. The findings suggest that fully embodied cross-cultural immersive experiences can effectively support the formation of IC and EI in high school students and may thereby play a contributing role in redressing ignorance, xenophobia, prejudice, and discrimination. A greater understanding of the linkages between immersive cross-cultural experiences and intercultural competence offers prospects for policymakers, educators, pastoral carers, and other relevant stakeholders who might employ such experiential learning to foster more interculturally and interracially harmonious human relations.
Entrepreneurial Intention among Rural Youth in Moroccan Agricultural Cooperatives: The Future of Rural Entrepreneurship
Authors: Bouichou El , Abdoulaye Tahirou , Allali Khalil , Bouayad Abdelghani , Fadlaoui Aziz
Published: August 2021

Rural entrepreneurship in the developing world has long been hailed as a powerful tool for promoting the socioeconomic integration of young people and the key to avoiding rural depopulation as well as ensuring these areas remain attractive places for rural youth. However, there have been no efforts to investigate the role of collective entrepreneurship in the creation and management of new businesses in Morocco. Furthermore, we build on the theory of planned behavior (TPB) to investigate and explain entrepreneurial intention among the rural youth members of agricultural cooperatives, and identify the vulnerabilities and factors that influence the choice or decision-making between permanent membership at the cooperative and an entrepreneurial career. In this case, we apply the cognitive approach to survey rural youth in the Drâa-Tafilalet region of Morocco in 2020. The binary logistic regression analysis technique has been used and applied to build the best model to explain why some rural youth members of the cooperative, but not others, choose to become entrepreneurs. We model how agricultural cooperatives may favor or inhibit the translation of entrepreneurial intention into new venture creation. A random sample size of 130 young people has been selected, from which 54 are intending to start a business and 76 have a negative intention of self-employment. The results of the analysis showed that socio-demographic variables, individual perceptions, previous experience, and the activities of the cooperative were statistically significant and reliable in building the binary logistic regression model. Findings also suggest that the risks of agribusiness and financing constraints have a negative influence on entrepreneurial intentions of the youth and women in agricultural cooperatives.
Vulnerability among European Youth: A Proposal for a Multidimensional Approach (2013–2017)
Authors: Moro Álvaro , Maiztegui-Oñate Concepción , Solabarrieta Josu
Published: August 2021

The notion of vulnerability has acquired an important role in social policy debates. Therefore, the identification of vulnerable groups and their conditions is particularly important for the orientation of public policies and risk reduction. This article aims to offer a broad vision of the situation of European youth (15–29) using three dimensions of vulnerability (personal, economic and socio-cultural dimensions). To do so, we developed a multidimensional approach combining a system of indicators (N = 33) to contrast the evolution of the aforementioned dimensions among the European countries. Based on secondary analysis of quantitative data on European member states, we compared the evolution during two moments in time. The first period examined was 2012–2014, after the global financial crises but prior to the implementation of Youth Guarantee, whereas the second was the period which allowed for an examination of the latest updated data available (2017). Our results confirm territorial imbalances that affect the lives of European youth and their future opportunities. Northern countries led this scenario combining an inclusive education system with supportive labor market policies offering more opportunities to overcome risks. Although this multidimensional analysis is exploratory, its findings provide preliminary insight into the configuration of the dimensions of vulnerability in European youth.
Safety Assessment of Urban Intersection Sight Distance Using Mobile LiDAR Data
Authors: Kilani Omar , Gouda Maged , Weiß Jonas , El-Basyouny Karim
Published: August 2021

This paper proposes an automated framework that utilizes Light Detection and Ranging (LiDAR) point cloud data to map and detect road obstacles that impact drivers’ field of view at urban intersections. The framework facilitates the simulation of a driver’s field of vision to estimate the blockage percentage as they approach an intersection. Furthermore, a collision analysis is conducted to examine the relationship between poor visibility and safety. The visibility assessment was used to determine the blockage percentage as a function of intersection control type. The safety assessment indicated that intersections with limited available sight distances (ASD) exhibited an increased risk of collisions. The research also conducted a sensitivity analysis to understand the impact of the voxel size on the extraction of intersection obstacles from LiDAR datasets. The findings from this research can be used to assess the intersection without the burden of manual intervention. This would effectively support transportation agencies in identifying hazardous intersections with poor visibility and adopt policies to enhance urban intersections’ operation and safety.
Value Management Integration for Whole Life Cycle: Post COVID-19 Strategy for the UK Construction Industry
Authors: Bennett Kieran , Mayouf Mohammad
Published: August 2021

Value management (VM) and its integration in the whole life cycle (WLC) have become huge concepts for construction projects to provide additional value of an asset for the end user or client. However, the role of VM and its integration as part of the WLC in a construction project remain reactive, and highly impacted by nature of the project, and this has become more challenging with the epidemic impact of COVID-19. This research aims to investigate the mechanisms that delivers value management as part of the “re-invent” strategy proposed by the Construction Leadership Council in the UK government to improve WLC for buildings. In addition to existing secondary data from the literature, primary data were attained using a focus group with six quantity surveyors from different cost consultancies in the UK to gather qualitative evidence using their experiences, perceptions, and key challenges they face when integrating VM. Findings revealed that value management is primarily being used as a cost-cutting tool, the majority of quantity surveyors lack knowledge of what it encompasses, hence the industry needs a more proactive strategy towards it. Analysis revealed that value management is primarily implemented as a cost-cutting solution, key stakeholders (e.g., facility managers) need to be integrated, and there is no standardised process to incorporate value management in projects. The study proposes a four-dimensional (governance and policies, sustainability, industry’s best practice, and innovation and technology) strategy to facilitate more holistic considerations of value management post COVID-19. Future work looks into evaluating the strategy proposed while acknowledging different procurement routes.
Determining an Improved Traffic Conflict Indicator for Highway Safety Estimation Based on Vehicle Trajectory Data
Authors: Jiang Ruoxi , Zhu Shunying , Chang Hongguang , Wu Jingan , Ding Naikan , Liu Bing , Qiu Ji
Published: August 2021

Currently, several traffic conflict indicators are used as surrogate safety measures. Each indicator has its own advantages, limitations, and suitability. There are only a few studies focusing on fixed object conflicts of highway safety estimation using traffic conflict technique. This study investigated which conflict indicator was more suitable for traffic safety estimation based on conflict-accident Pearson correlation analysis. First, a high-altitude unmanned aerial vehicle was used to collect multiple continuous high-precision videos of the Jinan-Qingdao highway. The vehicle trajectory data outputted from recognition of the videos were used to acquire conflict data following the procedure for each conflict indicator. Then, an improved indicator Ti was proposed based on the advantages and limitations of the conventional indicators. This indicator contained definitions and calculation for three types of traffic conflicts (rear-end, lane change and with fixed object). Then the conflict-accident correlation analysis of TTC (Time to Collision)/PET (Post Encroachment Time)/DRAC (Deceleration Rate to Avoid Crash)/Ti indicators were carried out. The results show that the average value of the correlation coefficient for each indicator with different thresholds are 0.670 for TTC, 0.669 for PET, and 0.710 for DRAC, and 0.771 for Ti, which Ti indicator is obviously higher than the other three conventional indicators. The findings of this study suggest TTC often fails to identify lane change conflicts, PET indicator easily misjudges some rear-end conflict when the speed of the following vehicle is slower than the leading vehicle, and PET is less informative than other indicators. At the same time, these conventional indicators do not consider the vehicle-fixed objects conflicts. The improved Ti can overcome these shortcomings; thus, Ti has the highest correlation. More data are needed to verify and support the study.
The Role of Military Leadership in Shaping Innovative Personnel Behaviour: The Case of the Lithuanian Armed Forces
Authors: Šimanauskienė Viktorija , Giedraitytė Vidmantė , Navickienė Olga
Published: August 2021

Innovation is important for the achievement of the UN Sustainable Development Goals, including those related to peace and justice, as well as strengthening defence and security institutions. In view of innovation and the creation of an innovative environment, the influence of leaders not only on the innovativeness of employees, but also of the organization as a whole, is considered one of the most prospective areas of future research. This article explores the influence of leadership behaviour (support for innovation, delegating, intellectual stimulation, and rewards) of top (sample size N = 275) and middle (sample size N = 891) management on the innovative behaviour of military officers. The empirical validation of the selected four leadership behaviours is based on the methodology of quantitative sociological research—a questionnaire. Research results show that strong and statistically significant correlation relationships were established at the level of top managers (commanders) between such factors as Intellectual Stimulation and Delegating, Rewards and Delegating, Delegating and Support for Innovation, as well as Support for Innovation and Rewards. Meanwhile, for middle-level managers (military officers) two strong relationships were found between such factors as Rewards and Delegating, and Delegating and Support for Innovation. Analysis of the compatibility of opinions showed that although commanders and military officers both appreciate the leadership behaviours of the top and middle management of the Lithuanian Armed Forces, it was also found that commanders are more positive about the opportunity to offer new ideas at their military unit. Furthermore, they are more positive about the statement that leadership grants them the right to take decisions and implement them, and they are also more positive about taking the initiative, when they feel support for innovation. The identified difference in the leadership behaviours of top and middle management leads to the conclusion that, at different hierarchical levels of leadership, innovative behaviour of subordinates is influenced differently in the innovation promotion process in the Lithuanian Armed Forces.
Is Innovation a Driver of Sustainability? An Analysis from a Spanish Region
Authors: Llorca-Ponce Alicia , Rius-Sorolla Gregorio , Ferreiro-Seoane Francisco J.
Published: August 2021

1. Background. It is well-known that innovation contributes to economic growth, improves productivity and enables competitive advantage. However, beyond these matters, it would be of interest to know what role innovation plays in relation to sustainability. This paper focuses on whether innovation is a driver of sustainability in its three dimensions: social, economic and environmental. 2. Methods. The study was conducted with companies in the Valencian community (Spain) to analyze whether they significantly contribute to sustainability as innovators. Economical sustainability was assessed based on economic and financial profitability; social sustainability was assessed by employment generation. To determine whether companies contributed to environmental sustainability, we considered those which, apart from a reputation (“label”) in innovation, had some kind of environmental certification. 3. Results. Our results indicate that innovative companies are more profitable and generate more employment. However, there are no differences in terms of performance and employment generation between innovative companies and those that are also environmentally sensitive. 4. Conclusion. Innovation is a driving force of economic and social sustainability in the studied area, but environmental sensitivity is not a driver for economic and social sustainability.
Freezing and Heating Tolerance of Pinus nigra Seedlings from Three South to North Balkan Provenances
Authors: Ivetić Vladan , Tsakaldimi Marianthi , Ganatsas Petros , Kerkez Janković Ivona , Devetaković Jovana
Published: August 2021

To meet the restoration and reforestation goals in the changing environment, the translocation of genotypes and species northward and upward need to be considered to a great extent. Pinus nigra is a genetically diverse, drought sensitive species, with cold hardiness comparable to other tree species under the same climatic conditions. This study tested frost hardiness (whole plant freezing test—WPFT, and electric conductivity—EC test), and heat tolerance (heat tolerance test) of P. nigra seedlings from two southern Greek provenances (Kalamata and Grevena) and one northern Serbian provenance (Šargan) to better understand the potential of seed transfer from the south to the north of the species distribution in the Balkan peninsula. The results showed that, that for all studied provenances, the damage was great; the index of injury (Ii) at −18 °C was ranged from 49 to 54.5 (measured by the EC method) and the percentage of injured tissues ranged from 80–90% (measured by visual observation). For all studied provenances, a sharp increase in damages was observed with the fall of temperature from −5 and −18 °C and the time after exposure. The WPFT results showed that the highest tolerance to freezing (−18 °C) was presented by seedlings from the northern (Šargan) provenance; however, no significant differences were statistically detected among the studied provenances. The heat and drought-treated seedlings, from both provenances, presented significantly highler foliar damages than only drought-treated ones. For seedlings from both contrasting provenances (Grevena and Šargan), exposure to moderate heat (45 °C) and short drought did present damages but without significant difference between them. Considering freezing and heating tolerance, Greek provenances of P. nigra (i.e., Grevena region) can be successfully used in Serbian forestation and restoration programs. The present study makes a contribution towards P. nigra reforestation with practical implications for abiotic stress (frost, heat drought) tolerance among southern and northern provenances and could be valuable to determine the suitable provenances for reforestation programs and assisted population migration under climatic change scenarios.
Proposal of a Conceptual Model to Represent Urban-Industrial Systems from the Analysis of Existing Worldwide Experiences
Authors: Ruiz-Puente Carmen
Published: August 2021

The adoption of Industrial Symbiosis (IS) practices within urban areas is gaining interest due to the environmental impacts entailed by the development of cities. However, there is still a lack of knowledge about how the relationships between industrial and urban areas can be modelled. In this context, this research aimed at posing a conceptual model to understand and represent Urban-Industrial Systems (UIS). To this end, a set of worldwide previous UIS experiences were overviewed to identify the agents, dynamics, and collaboration opportunities that characterize them. The multi-perspective analysis of these cases indicated that UIS are complex systems, which means that they are autonomous, self-organized, responsive, nonlinear, and willing to consolidate their resilience. As such, Agent-Based Models (ABM) were suggested to be the most suitable approach for their representation.
Spatial Price Transmission and Price Dynamics of Global Butter Export Market under Economic Shocks
Authors: Xue Huidan , Li Chenguang , Wang Liming , Su Wen-Hao
Published: August 2021

Recently, the world has experienced striking economic and policy changes, and subsequent uncertainties have impacts on dairy trade price fluctuations. The Global Vector Autoregressive (GVAR) methodology was established in this paper to better understand international butter export prices transmission, the feedback between the economic context changes and price fluctuations, and the link between the global butter market, energy market, and other commodity markets. We assessed which key factors are typically associated with butter export price movements with regards to shocks to crude oil price, palm oil price, farm-gate raw milk price, exchange rates, and consumer price index (CPI) for food of the EU, New Zealand, the U.S., and the rest of world (RoW), respectively. Using generalized impulse response functions, this study found that decreases in farm-gate raw milk price could be swiftly transmitted to butter export prices of not only a home country but other foreign countries. However, palm oil price and crude oil price merely affects global butter export prices. We also found that U.S. dollar depreciations against the Euro will cause a decline in U.S. butter export price. It is concluded that butter export markets are not well-integrated, yet butter export prices of New Zealand and the U.S. are highly linked.
General Aspects, Islanding Detection, and Energy Management in Microgrids: A Review
Authors: Islam Md Mainul , Nagrial Mahmood , Rizk Jamal , Hellany Ali
Published: August 2021

Distributed generators (DGs) have emerged as an advanced technology for satisfying growing energy demands and significantly mitigating the pollution caused by emissions. Microgrids (MGs) are attractive energy systems because they offer the reliable integration of DGs into the utility grid. An MG-based approach uses a self-sustained system that can operate in a grid-tied mode under normal conditions, as well as in an islanded mode when grid disturbance occurs. Islanding detection is essential; islanding may injure utility operators and disturb electricity generation and supply because of unsynchronized re-closure. In MGs, an energy management system (EMS) is essential for the optimal use of DGs in intelligent, sustainable, reliable, and integrated ways. In this comprehensive review, the classification of different operating modes of MGs, islanding detection techniques (IDTs), and EMSs are presented and discussed. This review shows that the existing IDTs and EMSs can be used when operating MGs. However, further development of IDTs and EMSs is still required to achieve more reliable operation and cost-effective energy management of MGs in the future. This review also highlights various MG challenges and recommendations for the operation of MGs, which will enhance the cost, efficiency, and reliability of MG operation for next-generation smart grid applications.
Engaging with Artificial Intelligence (AI) with a Bottom-Up Approach for the Purpose of Sustainability: Victorian Farmers Market Association, Melbourne Australia
Authors: Camaréna Stéphanie
Published: August 2021

Artificial intelligence (AI) is impacting all aspects of food systems, including production, food processing, distribution, and consumption. AI, if implemented ethically for sustainability, can enhance biodiversity, conserve water and energy resources, provide land-related services, power smart cities, and help mitigate climate change. However, there are significant issues in using AI to transition to sustainable food systems. AI’s own carbon footprint could cancel out any sustainability benefits that it creates. Additionally, the technology could further entrench inequalities between and within countries, and bias against minorities or less powerful groups. This paper draws on findings from a study of the Victorian Farmers’ Markets Association (VFMA) that investigated the complexity of designing AI tools to enhance sustainability and resilience for the benefit of the organisation and its members. Codesign workshops, both synchronous and asynchronous, semi-structured interviews, and design innovation methods led the VFMA to experiment with an AI tool to link sustainable soil practices, nutrient rich produce, and human health. The analysis shows that the codesign process and an agile approach created a co-learning environment where sustainability and ethical questions could be considered iteratively within transdisciplinary engagement. The bottom-up approach developed through this study supports organisations who want to engage with AI while reinforcing fairness, transparency, and sustainability.
Interpreting Usability Factors Predicting Sustainable Adoption of Cloud-Based E-Learning Environment during COVID-19 Pandemic
Authors: Dutta Bireswar , Peng Mei-Hui , Chen Chien-Chih , Sun Shu-Lung
Published: August 2021

The COVID-19 pandemic affected educational institutions in an unrivaled way around the globe and forced them to switch from conventional classroom learning mode to e-learning mode within a short time period. Neither instructors nor students had ample time to prepare. The purpose of the current study is to accomplish two objectives: to explore the functional relationship between attitudinal readiness (ATR), subjective well-being (SWB), and cloud-based e-learning adoption intention in Taiwan and examine the constancy of recommended proposed relationships among different students’ groups. The model was then empirically tested using data of 256 university students by structural equation modeling. The current study demonstrates that ATR is completely explained through four dimensions: peer reference, perceived ease of use, perceived usefulness, and perceived ubiquity. SWB is positively interpreted through four dimensions: online course quality, system quality, perceived service quality, and perceived closeness. Self-efficacy has a significant relationship with both attitudinal readiness and adoption intention of a cloud-based e-learning system. Finally, the invariance test explores substantial variance among students who intend to use the system and students who reject it. Therefore, researchers and practitioners regarding educational, technological innovation must consider this empirical evidence to develop and validate a sustainable cloud-based e-learning program in higher education.
Effect of a Ring onto Values of Eigenvalue–Based Molecular Descriptors
Authors: Redžepović Izudin , Radenković Slavko , Furtula Boris
Published: August 2021

The eigenvalues of the characteristic polynomial of a graph are sensitive to its symmetry-related characteristics. Within this study, we have examined three eigenvalue–based molecular descriptors. These topological molecular descriptors, among others, are gathering information on the symmetry of a molecular graph. Furthermore, they are being ordinarily employed for predicting physico–chemical properties and/or biological activities of molecules. It has been shown that these indices describe well molecular features that are depending on fine structural details. Therefore, revealing the impact of structural details on the values of the eigenvalue–based topological indices should give a hunch how physico–chemical properties depend on them as well. Here, an effect of a ring in a molecule on the values of the graph energy, Estrada index and the resolvent energy of a graph is examined.
Possibilities of Exploiting Kinetic Control in the Continuous Fractional Crystallization of Diastereomeric Mixtures
Authors: Bánhegyi Dorottya Fruzsina , Fogassy Elemér , Pálovics Emese
Published: August 2021

For rapid and kinetic control-influenced resolutions, it is advisable to choose a resolving agent with the highest possible eutectic composition (eeEuResAg). It may also be advantageous to add the crystalline resolving agent directly to the solution of the racemic compound. In addition, the use of a quasi-racemic resolving agent or amphoteric resolving agent can provide kinetic resolution. In some cases, the continuous fractional crystallization of diastereomeric salts requires the salt of the resolving agent (Ca2+, Na+, etc.) or other achiral additives (thiourea) that cause rapid crystallization and provide high diastereomeric purity. A further advantage may be the sequential use of the same resolving agent that is capable of forming crystalline diastereomers with both enantiomers when using kinetic control (tandem resolution).
First Evidence of In Vitro Effects of C6O4—A Substitute of PFOA—On Haemocytes of the Clam Ruditapes philippinarum
Authors: Fabrello Jacopo , Targhetta Francesca , Ciscato Maria , Asnicar Davide , Bernardini Ilaria , Milan Massimo , Patarnello Tomaso , Marin Maria Gabriella , Matozzo Valerio
Published: August 2021

Alternative chemicals to per- and poly-fluoroalkyl substances have recently been introduced in various industrial processes. C6O4 (difluoro{[2,2,4,5-tetrafluoro-5-(trifluoromethoxy)-1,3-dioxolan-4-yl]oxy}acetic acid) is a new surfactant and emulsifier used as a replacement for perfluorooctanoic acid (PFOA). From an ecotoxicological point of view, in vitro assays are useful tools for assessing the negative effects and understanding the mechanisms of action of chemicals at the cellular level. Here, we present the results of an in vitro study in which the effects of C6O4 were evaluated—for the first time—on haemocytes of the clam Ruditapes philippinarum. Cells were exposed to three concentrations of C6O4 (0.05, 0.5, 5 μg/mL) and the effects on haemocyte viability, haemocyte morphology, differential haemocyte count, lysosomal membrane stability, superoxide anion production, acid phosphatase, and β-glucuronidase activities, as well as on the percentage of micronuclei and chromosomal aberrations were evaluated. The results demonstrated that C6O4 significantly affected haemocyte morphology, lysosomal membrane stability, hydrolytic enzyme activity, and superoxide anion production, and promoted chromosomal aberrations. To the best of our knowledge, this is the first study revealing the in vitro effects of C6O4, a substitute for PFOA, on haemocytes from a bivalve species.