bluuebunny/crossref_metadata_2025 huggingface dataset:
On Supporting University Communities in Indoor Wayfinding: An Inclusive Design Approach
Authors: Prandi Catia , Delnevo Giovanni , Salomoni Paola , Mirri Silvia
Published: April 2021

Mobility can be defined as the ability of people to move, live and interact with the space. In this context, indoor mobility, in terms of indoor localization and wayfinding, is a relevant topic due to the challenges it presents, in comparison with outdoor mobility, where GPS is hardly exploited. Knowing how to move in an indoor environment can be crucial for people with disabilities, and in particular for blind users, but it can provide several advantages also to any person who is moving in an unfamiliar place. Following this line of thought, we employed an inclusive by design approach to implement and deploy a system that comprises an Internet of Things infrastructure and an accessible mobile application to provide wayfinding functions, targeting the University community. As a real word case study, we considered the University of Bologna, designing a system able to be deployed in buildings with different configurations and settings, considering also historical buildings. The final system has been evaluated in three different scenarios, considering three different target audiences (18 users in total): i. students with disabilities (i.e., visual and mobility impairments); ii. campus students; and iii. visitors and tourists. Results reveal that all the participants enjoyed the provided functions and the indoor localization strategy was fine enough to provide a good wayfinding experience.
Enhancing Mobile Edge Computing with Efficient Load Balancing Using Load Estimation in Ultra-Dense Network
Authors: Chen Wen , Zhu Yongqi , Liu Jiawei , Chen Yuhu
Published: April 2021

With the exponential growth of mobile devices and the emergence of computationally intensive and delay-sensitive tasks, the enormous demand for data and computing resources has become a big challenge. Fortunately, the combination of mobile edge computing (MEC) and ultra-dense network (UDN) is considered to be an effective way to solve these challenges. Due to the highly dynamic mobility of mobile devices and the randomness of the work requests, the load imbalance between MEC servers will affect the performance of the entire network. In this paper, the software defined network (SDN) is applied to the task allocation in the MEC scenario of UDN, which is based on routing of corresponding information between MEC servers. Secondly, a new load balancing algorithm based on load estimation by user load prediction is proposed to solve the NP-hard problem in task offloading. Furthermore, a genetic algorithm (GA) is used to prove the effectiveness and rapidity of the algorithm. At present, if the load balancing algorithm only depends on the actual load of each MEC, it usually leads to ping-pong effect. It is worth mentioning that our method can effectively reduce the impact of ping-pong effect. In addition, this paper also discusses the subtask offloading problem of divisible tasks and the corresponding solutions. At last, simulation results demonstrate the efficiency of our method in balancing load among MEC servers and its ability to optimize systematic stability.
Comparison of Time Resolved Optical Turbidity Measurements for Water Monitoring to Standard Real-Time Techniques
Authors: Pallarès Anne , Schmitt Philippe , Uhring Wilfried
Published: April 2021

Environmental water monitoring requires the estimation of the suspended solids load. In this paper, we compare the concentration range accessible through three different techniques: optical turbidity, acoustic backscattering and the newly in-lab developed time resolved optical turbidity. We focus on their comparison on measurements made in the laboratory on water suspensions of known particles and concentrations. We used laboratory grade kieselguhr, wheat starch and kaolin as suspended solid surrogates. The explored concentration domains are the ones, for the total suspended solid load, commonly encountered in wastewater and rivers in standard (less than 1 g/L to a few g/L) or extreme conditions such as floods or storm events (up to several dozen g/L). Regarding the operable concentration domain, the time resolved optical turbidity shows a clear advantage upon the other methods, whatever the kind of particle is.
A Machine-Learning Approach to Measure the Anterior Cruciate Ligament Injury Risk in Female Basketball Players
Authors: Taborri Juri , Molinaro Luca , Santospagnuolo Adriano , Vetrano Mario , Vulpiani Maria Chiara , Rossi Stefano
Published: April 2021

Anterior cruciate ligament (ACL) injury represents one of the main disorders affecting players, especially in contact sports. Even though several approaches based on artificial intelligence have been developed to allow the quantification of ACL injury risk, their applicability in training sessions compared with the clinical scale is still an open question. We proposed a machine-learning approach to accomplish this purpose. Thirty-nine female basketball players were enrolled in the study. Leg stability, leg mobility and capability to absorb the load after jump were evaluated through inertial sensors and optoelectronic bars. The risk level of athletes was computed by the Landing Error Score System (LESS). A comparative analysis among nine classifiers was performed by assessing the accuracy, F1-score and goodness. Five out nine examined classifiers reached optimum performance, with the linear support vector machine achieving an accuracy and F1-score of 96 and 95%, respectively. The feature importance was computed, allowing us to promote the ellipse area, parameters related to the load absorption and the leg mobility as the most useful features for the prediction of anterior cruciate ligament injury risk. In addition, the ellipse area showed a strong correlation with the LESS score. The results open the possibility to use such a methodology for predicting ACL injury.
Analysis of Severe Injuries in Crashes Involving Large Trucks Using K-Prototypes Clustering-Based GBDT Model
Authors: Tahfim Syed As-Sadeq , Yan Chen
Published: April 2021

The unobserved heterogeneity in traffic crash data hides certain relationships between the contributory factors and injury severity. The literature has been limited in exploring different types of clustering methods for the analysis of the injury severity in crashes involving large trucks. Additionally, the variability of data type in traffic crash data has rarely been addressed. This study explored the application of the k-prototypes clustering method to countermeasure the unobserved heterogeneity in large truck-involved crashes that had occurred in the United States between the period of 2016 to 2019. The study segmented the entire dataset (EDS) into three homogeneous clusters. Four gradient boosted decision trees (GBDT) models were developed on the EDS and individual clusters to predict the injury severity in crashes involving large trucks. The list of input features included crash characteristics, truck characteristics, roadway attributes, time and location of the crash, and environmental factors. Each cluster-based GBDT model was compared with the EDS-based model. Two of the three cluster-based models showed significant improvement in their predicting performances. Additionally, feature analysis using the SHAP (Shapley additive explanations) method identified few new important features in each cluster and showed that some features have a different degree of effects on severe injuries in the individual clusters. The current study concluded that the k-prototypes clustering-based GBDT model is a promising approach to reveal hidden insights, which can be used to improve safety measures, roadway conditions and policies for the prevention of severe injuries in crashes involving large trucks.
Antioxidant and Antimicrobial Influence on Oyster Mushrooms (Pleurotus ostreatus) from Substrate Supplementation of Calcium Silicate
Authors: Cardoso Rossana V. C. , Carocho Márcio , Fernandes Ângela , Pinela José , Stojković Dejan , Soković Marina , Zied Diego Cunha , Cobos Juan Diego Valenzuela , González-Paramás Ana M. , Ferreira Isabel C. F. R. , Barros Lillian
Published: April 2021

Supplementation of the substrate of mushrooms with calcium silicate and other minerals is usually used as a preventive measure against pests and other contaminants during the production of oyster mushrooms. Little is known of the effects of this supplementation on the quality of the mushrooms produced. In the work described herein, the supplementation of oyster mushrooms was performed with 5 supplementation levels (0%, 0.5%, 1%, 2% and 4%) on mushrooms from two different locations in Brazil, the two flushes of mushrooms produced were analysed in terms of phenolic compounds, organic acids, and the antioxidant, antibacterial and antifungal activities, and finally the data was subjected to a linear discriminant analysis to understand the discrimination of the supplementation percentages. Overall, intermediate supplementation until 1% seemed to have a positive effect on the mushrooms from Mogi-das-Cruzes region, while high supplementation favoured the mushrooms from the region of Presidente Prudente. Supplementation showed positive effects on the mushrooms by increasing the production of some secondary metabolites while not showing any negative cytotoxic effects.
Optimal Operation of a Hybrid Power System as an Island Microgrid in South-Korea
Authors: Choi Yeon-Ju , Oh Byeong-Chan , Acquah Moses Amoasi , Kim Dong-Min , Kim Sung-Yul
Published: April 2021

The microgrid is a power distribution system that supplies power from distributed generation to end-users. Demonstration projects and R&D regarding microgrids are currently in development in several advanced countries. In South Korea, renewable energy-based microgrid demonstration projects are carried out mainly as island or university campus grids. These R&D efforts aim to popularize microgrid systems in South Korea while considering the limited land availability, which impedes the widespread distribution of photovoltaic systems and the microgrid market’s growth. This study presents a floating photovoltaic system configured as an island microgrid combined with a hybrid power system. The floating photovoltaic system is configured on an idle water body integrated with an existing pumped hydroelectric system. The integration of a current pumped hydroelectric system minimizes a battery energy storage requirement, which compensates for the renewable energy sources’ intermittent power output. We evaluate the optimal power flow of the setup using a reliability index to ensure a stable power supply within the standalone microgrid and maximize the supply power range according to the demand response.
Impact of Universities’ Partnerships on Students’ Sustainable Entrepreneurship Intentions: A Comparative Study
Authors: Tehseen Shehnaz , Haider Syed Arslan
Published: April 2021

This study investigated the impact of entrepreneurial attitude, perceived desirability, and perceived feasibility on sustainable entrepreneurship intentions under the moderating impact of entrepreneurial passion among undergraduate students of Malaysia. It was a quantitative study that compared two groups of students, i.e., Group A, comprised of students who have studied entrepreneurship modules and whose programmes did not offer any dual/triple award degrees and Group B, made up of students who have studied entrepreneurship modules and whose programmes offered dual/triple award degrees. Data were collected from 542 undergraduate students of universities located in Kuala Lumpur and Selangor through survey questionnaire. WarpPLS Software version 7.0 was used to analyse the data. The findings of this study revealed that Group B students’ entrepreneurial attitude, perceived desirability, and perceived feasibility positively and significantly impacted the sustainable entrepreneurship intentions under the moderating impact of entrepreneurial passion. However, the impact of entrepreneurial attitude was found positive and significant on sustainable entrepreneurship intentions among students of Group A and entrepreneurial passion was found to be significant moderator to improve the impact of only entrepreneurial attitude and perceived desirability on sustainable entrepreneurship intentions but not for the impact of perceived feasibility on sustainable entrepreneurship intentions among these students. Moreover, the direct impacts of perceived desirability and perceived feasibility were also found non-significant on sustainable entrepreneurship intentions among Group A students. The findings reveal that universities having partnership with other overseas’ universities may offer high quality entrepreneurship modules due to which their students have high entrepreneurial passion and develop more entrepreneurial attitudes, and are more willing and capable to start their own businesses as compared to students of other local universities who have no partnership with overseas’ universities.
Time-Dependent Strength Behavior, Expansion, Microstructural Properties, and Environmental Impact of Basic Oxygen Furnace Slag-Treated Marine-Dredged Clay in South Korea
Authors: Kang Gyeong-o , Kang Jung-goo , Kim Jin-young , Kim Young-sang
Published: April 2021

The aim of this study was to investigate the mechanical characteristics, microstructural properties, and environmental impact of basic oxygen furnace (BOF) slag-treated clay in South Korea. Mechanical characteristics were determined via the expansion, vane shear, and unconfined compression tests according to various curing times. Scanning electron microscopy was conducted to analyze microstructural properties. Furthermore, environmental impacts were evaluated by the leaching test and pH measurements. According to the results, at the early curing stage (within 15 h), the free lime (F-CaO) content of the BOF slag is a significant factor for developing the strength of the adopted sample. However, the particle size of the BOF slag influences the increase in the strength at subsequent curing times. It was inferred that the strength behavior of the sample exhibits three phases depending on various incremental strength ratios. The expansion magnitude of the adopted samples is influenced by the F-CaO content and also the particle size of the BOF slag. Regarding the microstructural properties, the presence of reticulation structures in the amorphous gels with intergrowths of rod-like ettringite formation was verified inside the sample. Finally, the pH values and heavy metal leachates of the samples were determined within the compatible ranges of the threshold effect levels in the marine sediments of the marine environment standard of the Republic of Korea.
Study on the Influence of Mounting Dimensions of PV Array on Module Temperature in Open-Joint Photovoltaic Ventilated Double-Skin Façades
Authors: Zhang Wenjie , Gong Tongdan , Ma Shengbing , Zhou Jianwei , Zhao Yingbo
Published: April 2021

In building integrated photovoltaics (PV), it is important to solve the heat dissipation problem of PV modules. In this paper, the computational fluid dynamics (CFD) method is used to simulate the flow field around the open-joint photovoltaic ventilated double-skin façades (OJ-PV-DSF) to study the influence of the mounting dimensions (MD) of a PV array on the module temperature. The typical summer afternoon meteorological parameters, such as the total radiation (715.4 W/m2), the outdoor temperature (33.1 °C), and the wind speed (2.0 m/s), etc., are taken as input parameters. With the DO (discrete ordinates) model and the RNG (renormalization-group) k − ε model, a steady state calculation is carried out to simulate the flow of air in and around the cavity under the coupling of hot pressure and wind pressure, thereby obtaining the temperature distribution of the PV array and the wall. In addition, the simulation results are compared with the onsite experimental data and thermal imaging to verify the accuracy of the CFD model. Then three MD of the open joints are discussed. The results show that when the a value (represents the distance between PV modules and wall) changes from 0.05 to 0.15, the temperature drop of the PV module is the most obvious, reaching 2.0 K. When the b value (representing the distance between two adjacent PV modules in the vertical direction) changes from 0 to 0.1, the temperature drop of the PV module is most obvious, reaching 1 K. When the c value (represents the distance between two adjacent PV modules in the horizontal direction) changes from 0 to 0.1, the temperature of the PV module is lowered by 0.8 K. Thus, a = 0.1–0.15, b = 0.1 and c = 0.1 are recommended for engineering applications to effectively reduce the module temperature.
Effect of Micronutrient and Hormone on Microalgae Growth Assessment for Biofuel Feedstock
Authors: Aslam Ayesha , Rasul Sumaira , Bahadar Ali , Hossain Nazia , Saleem Muhammad , Hussain Sabir , Rasool Lubna , Manzoor Hamid
Published: April 2021

The individual and combined effects of micronutrients and hormones on freshwater-borne microalgae growth were investigated for biofuel feedstock in this experimental study. Five algal strains of Chlorella sp., Chlorococcum sp., Phormidium sp., Chlorella sp. and Cosmarium sp., AZH, AZS, ZAA1, ZAA2, and ZAA3, respectively, have been investigated. These strains were treated using different concentrations of micronutrients (iron chloride, manganese chloride, and sodium molybdenum oxide) and hormone (salicylic acid). The different treatments’ growth effects were as follows: iron chloride > sodium molybdenum oxide ˃ manganese chloride > salicylic acid. The order of the increases in the number of microalgal strain cells achieved by the application of the micronutrients and hormone was AZH > AZS > ZAA3 > ZAA2 > ZAA1. The combined treatments produced higher growth rates than the individual treatments, with the order of their effects being micronutrients + hormone > all three micronutrients > hormone alone. The increase in the number of microalgal strain cells under combined treatment was ZAA3 > AZH > AZS > ZAA2 and assessed using one-way ANOVA.
Factors for Sustainable Online Learning in Higher Education during the COVID-19 Pandemic
Authors: Chu Amanda , Liu Connie , So Mike , Lam Benson
Published: April 2021

The coronavirus disease 2019 (COVID-19) pandemic has affected educational institutions and instructors in an unprecedented way. The majority of educational establishments were forced to take their courses online within a very short period of time, and both instructors and students had to learn to navigate the digital array of courses without much training. Our study examined factors that affect students’ attitude toward online teaching and learning during the COVID-19 pandemic. It is different from other online learning studies where online courses are mostly a method of choice, with suitable support from institutions and expectation from instructors and students, rather than a contingency. Under this specific environment, we utilized an online survey to collect students’ feedback from eleven universities across Hong Kong. Using partial least squares for analysis on the 400 valid samples we received, we found that peer interactions and course design have the most salient impact on students’ attitude, whereas interactions with instructors has no effect at all on students’ attitude. Furthermore, we also provide suggestions on using the existing technologies purchased during COVID-19 for a more sustainable learning environment going forward.
Digitalization as a Strategic Means of Achieving Sustainable Efficiencies in Construction Management: A Critical Review
Authors: Nikmehr Bahareh , Hosseini M. Reza , Martek Igor , Zavadskas Edmundas Kazimieras , Antucheviciene Jurgita
Published: April 2021

Construction is a complex activity, characterized by high levels of capital investment, relatively long delivery durations, multitudinous risks and uncertainties, as well as requiring the integration of multiple skills delivering a huge volume of tasks and processes. All of these must be coordinated carefully if time, cost, and quality constraints are to be met. At the same time, construction is renowned for performing poorly regarding sustainability metrics. Construction activity generates high volumes of waste, requires vast amounts of resources and materials, while consuming a significant proportion of total energy generated. Digitalization of the construction workplace and construction activities has the potential of improving construction performance both in terms of business results as well as sustainability outcomes. This is because, to put it simply, reduced energy usage, for example, impacts economic and “green” performance, simultaneously. Firms tinkering with digitalization, however, do not always achieve the hoped-for outcomes. The challenge faced is that a digital transition of construction firms must be carried out at a strategic level—requiring a comprehensive change management protocol. What then does a digital strategy entail? This study puts forward an argument for the combined economic and sustainability dividends to be had from digitizing construction firm activities. It outlines the requirements for achieving digitalization. The elements of a comprehensive digitalization strategy are cataloged, while the various approaches to developing a digitalization strategy are discussed. This study offers practitioners a useful framework by which to consider their own firm-level efforts at digitalization transition.
Estidama and the Pearl Rating System: A Comprehensive Review and Alignment with LCA
Authors: Ramani Ayyagari , García de Soto Borja
Published: April 2021

Multiple sustainability standards and rating systems have been developed to draw attention to constructing sustainable buildings. The Pearl Rating System (PRS) is a mandate for all new construction projects in Abu Dhabi. Hence, it is important to understand the main components, advantages, and limitations of the PRS. The feasibility and the practical relevance of the PRS are still being studied. This paper addresses this gap and critically evaluates the PRS against some of the well-established rating systems like LEED and BREEAM. The analysis suggests that the PRS considers the cultural aspect of sustainability, in addition to the environmental, societal, and economic aspects. It was also found that most rating systems, including the PRS, have a very superficial inclusion of life cycle assessment (LCA). The paper finally concludes with other observations and outlook for a more robust implementation of the PRS.
Perceptions of Teachers in Training on Water Issues and Their Relationship to the SDGs
Authors: Ruiz-Garzón Francisca , Olmos-Gómez María del Carmen , Estrada-Vidal Ligia Isabel
Published: April 2021

Water conservation is essential for any activity, as well as for the survival of both human and other living beings. It is commonly associated with access to clean water and sanitation, or even to unsustainable production and consumption, or sustainable cities and communities. However, there is increasing awareness of emerging issues related to water resources and their impact or relationship with other issues, such as climate change, access to food, health and well-being, or biodiversity (marine and terrestrial). Therefore, this study is aimed at understanding the perception of students of the Degrees in Early Childhood Education and Primary Education concerning water issues and their relationship Sustainable Development Goals (SDGs; number 2,3,6,11,12,13,14 and 15) in a coastal urban context. The study used a qualitative design, in which 59 student teachers were interviewed. The instrument was validated by 12 experts. The content analysis indicates that student teachers understand that there is an environmental problem in relation to water caused by human behaviour, and that its effects have an impact on other areas that are related to the SDGs included in the 2030 Agenda.
Family Control and Corporate Innovation in Stakeholder-Oriented Corporate Governance
Authors: Sakawa Hideaki , Watanabel Naoki
Published: April 2021

This study investigates the effects of family control on corporate innovation activity in publicly traded firms in Japan under stakeholder-oriented corporate governance. In a sample of 14,991 firm-year observations in publicly traded firms in Japan during the period 2007 to 2016, we tested whether family owners or board members are enhancing research and development investments. While theoretical perspectives of principal–principal conflicts generally assume a negative relationship between family control and research and development intensity, we find a positive relationship, which supports the stewardship theory perspective. Additionally, we find that main bank ownership positively moderates the relationship between family control and research and development, suggesting that the main bank could affect the decision-making of family board members in the long-term. This result is supported by the close relationships between the main bank and client firms. Furthermore, our study reveals that the shareholder orientation of foreign shareholders suppresses family board members’ long-term orientation. We conclude that the exploitation presumed by principal–principal conflict perspectives has not been thoroughly investigated in Japan’s stakeholder-oriented corporate governance system.
Effects of Selection Regime on Invasive Characteristics in an Emerging Biomass Crop, Switchgrass (Panicum virgatum L.)
Authors: Flint Shelby A. , Shaw Ruth G. , Jordan Nicholas R.
Published: April 2021

Production of biomass feedstock crops could produce substantial environmental benefits, but these will be sharply reduced if these crops become invasive. Switchgrass (Panicum virgatum L.) is being bred for biomass production; these selective efforts may enhance invasive traits. To inform the assessment of invasive risk, undomesticated switchgrass strains were used as a baseline for comparison with strains bred for biomass production. In a three-year field experiment, we compared juvenile plant densities and survival, persistence of established plants, and aboveground biomass between selectively bred (cultivar) and undomesticated switchgrass strains. Cultivars had modestly greater third-year biomass and first-year plant densities than commercial ecotypes but lower survival and persistence; consequently, third-year plant densities did not significantly differ between cultivars and commercial ecotypes. Higher initial establishment and subsequent self-thinning in cultivars resulted in stands that were similar to those of commercial ecotypes. Therefore, our results do not suggest that the breeding of current cultivars of switchgrass enhanced juvenile and young-stand traits associated with invasiveness. Because biomass yields were not greatly different between cultivars and commercial ecotypes, use of the latter in biomass grasslands could provide functional benefits, including an enhanced habitat for native biodiversity and reduced pathogen loads, without incurring large losses in biomass production.
State of Charge Estimation of Lithium-Ion Battery Based on Improved Adaptive Unscented Kalman Filter
Authors: Xing Jie , Wu Peng
Published: April 2021

State of charge (SOC) of the lithium-ion battery is an important parameter of the battery management system (BMS), which plays an important role in the safe operation of electric vehicles. When existing unknown or inaccurate noise statistics of the system, the traditional unscented Kalman filter (UKF) may fail to estimate SOC due to the non-positive error covariance of the state vector, and the SOC estimation accuracy is not high. Therefore, an improved adaptive unscented Kalman filter (IAUKF) algorithm is proposed to solve this problem. The IAUKF is composed of the improved unscented Kalman filter (IUKF) that is able to suppress the non-positive definiteness of error covariance and Sage–Husa adaptive filter. The IAUKF can improve the SOC estimation stability and can improve the SOC estimation accuracy by estimating and correcting the system noise statistics adaptively. The IAUKF is verified under the federal urban driving schedule test, and the SOC estimation results are compared with IUKF and UKF. The experimental results show that the IAUKF has higher estimation accuracy and stability, which verifies the effectiveness of the proposed method.
An Auxiliary Index for Reducing Brent Crude Investment Risk—Evaluating the Price Relationships between Brent Crude and Commodities
Authors: Chen Yu-Wei , Chiu Chui-Yu , Hsiao Mu-Chun
Published: April 2021

Examining the price relationships of Brent Crude with 78 global commodities, our study shows that the spot price of a certain commodity, New York Harbor No. 2 Heating Oil Spot Price FOB, can serve as an auxiliary forecasting index of the rise and fall of the monthly Brent Crude oil price. With an innovative view for evaluating the price relationship and prediction based on simple, practical measurement, our findings provide a helpful auxiliary index tool for investors and analysts by offering a high success rate (82.98%) and predicting the rise and fall of the monthly Brent Crude oil price three weeks in advance.
Representativeness in Geographical Indications: A Comparison between the State-Driven and Producer-Driven Systems in Vietnam and France
Authors: Pick Barbara , Marie-Vivien Delphine
Published: April 2021

This paper explores the issues of representativeness and participation in the collective processes involved in the elaboration of the geographical indications (GI) specifications and the governance of the GI initiatives. The objective is to understand the relationship among collective dynamics, representativeness of relevant stakeholders, and the legal frameworks for the protection of GIs. Using a qualitative methodology based on an analysis of six case studies in France and Vietnam, we show the role of the law in shaping the different ways of understanding and implementing the concept of representativeness in the French producer-led and the Vietnamese state-driven approaches to GI protection. In France, the GI specifications result from negotiations among all legitimate stakeholders, which may prove long, complex, and lead to standards that can continue to be challenged after the GI registration. We also argue that the rules for the representation of all GI users in the decision-making processes do not necessarily lead to fairness. In Vietnam, local stakeholders usually have a consultative role under the authority of the State, resulting in their little understanding and low use of the GI. Their empowerment is further hindered by the involvement of state authorities in the management of the producers’ associations. We conclude by discussing in-between solutions to promote the producers’ representation and participation.
Growth of Firms in a Fragmented Cultural Industry: Italian Commercial Art Galleries’ Competitive Strategies
Authors: Depperu Donatella , Magnani Giacomo , Crosato Lisa , Liberati Caterina
Published: April 2021

The growth of cultural firms is important in developing local economies, enhancing employment, and improving urban sustainability, but it is difficult to achieve in fragmented industries that are populated by the smallest firms and offer a particularly unfavorable context for growth. The study takes a contingency perspective and contributes to both the literature on business strategy in fragmented industries and that on the growth of small and medium-sized enterprises (SMEs) by identifying the strategies implemented in a fragmented cultural industry, determining which of them are associated with a firm’s expected growth, and finding the few firm-specific factors that are associated with growth. It also complements the extant literature on art galleries by looking at them from the understudied strategic perspective. Suggestions for practitioners and policy makers are included.
Testing the Effect of Hedge Height on Perceived Safety—A Landscape Design Intervention
Authors: Evensen Katinka H. , Nordh Helena , Hassan Ramzi , Fyhri Aslak
Published: April 2021

Access to safe, green urban environments is important for quality of life in cities. The objective of this study is to explore the impact of a safety-enhancing landscape design measure on visitors’ experiences in an urban park. Additionally, this paper combines the use of field and virtual reality (VR) experiments, contributing methodological insights into how to evaluate safety measures in green space management and research on perceived safety. In a field experiment (n = 266), we explored whether the height of a hedge along a pathway influenced perceived safety among users. The field study showed that cutting down the hedge improved the perceived prospect of the immediate surrounding areas for female users, which again made them feel safer in the park. We developed a VR experiment for an evening scenario in the same environment (n = 19) to supplement the field study and test the effect of the intervention further. The VR experiment also found a gender effect on perceived safety, with females reporting lower perceived safety, but no effect was shown for the height of the hedge. The results in this study show that environmental attributes such as perceived prospect and concealment should be considered in the design and management of urban green spaces. Additionally, this research demonstrates an approach to conducting field experiments to test the effects of actual design interventions and then further developing these experiments using VR technology. Further research on perceived safety in outdoor spaces is needed to make use of this combined method’s potential.
Food and Nutrient Supply from Organic Agriculture in the Least Developed Countries and North America
Authors: Joshi Niraj Prakash , Piya Luni
Published: April 2021

Although organic agriculture (OA) is praised unequivocally for its environmental and health benefits, its potential for food security is often questioned because of its perceived lower yield. Least developed countries (LDCs), which have a high prospect of conversion to OA, are underrepresented in the literature related to the yield potential of OA, and its impact on regional food security. This paper aims to assess food and nutrient (calorie, protein, and fat) supply, thereby contributing to food security, from OA using yield ratio (YR) in LDCs and to compare this with North America (NA). Literature is the main source of data to estimate YR. Food supply data available in FAOSTAT for 1963–2013 along with the YR is used to estimate food and nutrient supply from OA in 2013. YR of crops shows a higher yield from OA in LDCs compared to NA. The food supply in LDCs between 1963 and 2013 increased at a higher rate than in NA. However, per capita nutrient supply is growing at a meager rate in LDCs; calorie and protein supply are just above the minimum threshold level and fat supply is still below the threshold level. Cereal is the single most important food item contributing to nutrient supply in LDCs, indicating a lack of dietary diversity. Thus, with relatively higher yields and crop diversity, and localized production and distribution systems, OA will have important contributions in dealing with persistent food insecurity in LDCs. However, a concerted effort is necessary to achieve yield gain and wider acceptance of OA.
Systemic Innovation Areas for Heritage-Led Rural Regeneration: A Multilevel Repository of Best Practices
Authors: Egusquiza Aitziber , Zubiaga Mikel , Gandini Alessandra , de Luca Claudia , Tondelli Simona
Published: April 2021

This paper presents the result of the analysis of the data gathered from 20 Role Models (RM) case studies regarding their successful heritage-led rural regeneration models. For the study and comparison of the narratives of these Role Models two tools were used: the Community Capitals Framework, which studied the transference of capitals in each process and the identification of six Systemic Innovation Areas that allow this capital transference. A multilevel repository of best practices has been developed allowing the identification of common features, mechanisms for mobilisation of capitals and required resources that will facilitate the replication in other rural areas. The results of this work support the acknowledgement of the contribution of culture, together with cultural and natural heritage, to economic growth, social inclusion and environmental sustainability in rural areas reinforcing the role of culture as the fourth pillar of sustainable development.
The Effects of Financial Literacy on Sustainable Entrepreneurship
Authors: Burchi Alberto , Włodarczyk Bogdan , Szturo Marek , Martelli Duccio
Published: April 2021

Entrepreneurship contributes to the economic well-being of every country. Specifically, the level of individual entrepreneurship is crucial in the process of developing and building economic potential, especially in Central European countries. Among the several factors impacting entrepreneurship, the ability to access the necessary external sources of financing need to be considered crucial. The financial literacy of the entrepreneur plays a crucial role in the relationship between the lender and the borrower. In this paper, we investigate the effects of financial literacy on sustainable entrepreneurship. We based our analysis on the framework proposed by the World Economic Forum. We present an OLS model that adopts entrepreneurship, financial literacy and macroeconomic variables. The analysis is carried out on individual and national data from different sources of information (Global Entrepreneurship Monitor, World Bank, and Organization for Economic Co-operation and Development). The results show a positive and statistically significant relationship between financial literacy and sustainable entrepreneurial activity. This evidence supports the increasing number of financial education initiatives and the inclusion of topics related to economic and financial culture in school education systems. We identify internationally valid policy implications. In the context of the growth strategies of Central European countries, financial literacy takes on even greater importance. The introduction of financial education in the national curricula could strengthen entrepreneurial skills and accelerate the inclusive growth process across Europe.
Quantum Information in Neural Systems
Authors: Georgiev Danko D.
Published: April 2021

Identifying the physiological processes in the central nervous system that underlie our conscious experiences has been at the forefront of cognitive neuroscience. While the principles of classical physics were long found to be unaccommodating for a causally effective consciousness, the inherent indeterminism of quantum physics, together with its characteristic dichotomy between quantum states and quantum observables, provides a fertile ground for the physical modeling of consciousness. Here, we utilize the Schrödinger equation, together with the Planck–Einstein relation between energy and frequency, in order to determine the appropriate quantum dynamical timescale of conscious processes. Furthermore, with the help of a simple two-qubit toy model we illustrate the importance of non-zero interaction Hamiltonian for the generation of quantum entanglement and manifestation of observable correlations between different measurement outcomes. Employing a quantitative measure of entanglement based on Schmidt decomposition, we show that quantum evolution governed only by internal Hamiltonians for the individual quantum subsystems preserves quantum coherence of separable initial quantum states, but eliminates the possibility of any interaction and quantum entanglement. The presence of non-zero interaction Hamiltonian, however, allows for decoherence of the individual quantum subsystems along with their mutual interaction and quantum entanglement. The presented results show that quantum coherence of individual subsystems cannot be used for cognitive binding because it is a physical mechanism that leads to separability and non-interaction. In contrast, quantum interactions with their associated decoherence of individual subsystems are instrumental for dynamical changes in the quantum entanglement of the composite quantum state vector and manifested correlations of different observable outcomes. Thus, fast decoherence timescales could assist cognitive binding through quantum entanglement across extensive neural networks in the brain cortex.
Application of Interval Fuzzy Logic in Selecting a Sustainable Supplier on the Example of Agricultural Production
Authors: Puška Adis , Nedeljković Miroslav , Hashemkhani Zolfani Sarfaraz , Pamučar Dragan
Published: April 2021

The selection of sustainable suppliers (SSS) is the first step in applying a sustainable supply chain and sustainable production. Therefore, it is necessary to select the supplier that best meets the set sustainability criteria. However, the selection of suppliers cannot be done by applying symmetric information, because the company does not have complete information, so asymmetric information should be used when selecting suppliers. Since the SSS applies three main sustainability criteria, environmental, social, and economic criteria, this decision-making problem is solved by applying multi-criteria decision-making (MCDM). In order to solve the SSS for the needs of agricultural production, interval fuzzy logic was applied in this research, and six suppliers with whom agricultural pharmacies in Semberija work were taken into consideration. The application of interval fuzzy logic was performed using the methods PIPRECIA (Pivot pairwise relative criteria importance assessment) and MABAC (Multi-Attributive Border Approximation Area Comparison). Using the PIPRECIA method, the weights of criteria and sub-criteria were determined. Results of this method showed that the most significant are economic criteria, followed by the social criteria. The ecological criteria are the least important. The supplier ranking was performed using the MABAC method. The results showed that supplier A4 best meets the sustainability criteria, while supplier A6 is the worst. These results were confirmed using other MCDM methods, followed by the sensitivity analysis. According to the attained results, agricultural producers from Semberija should buy the most products from suppliers A4, in order to better apply sustainability in production. This paper showed how to decision make when there is asymmetric information about suppliers.
CE-MS-Based Identification of Uremic Solutes Specific to Hemodialysis Patients
Authors: Akiyama Yasutoshi , Kikuchi Koichi , Toyohara Takafumi , Mishima Eikan , Suzuki Chitose , Suzuki Takehiro , Nakayama Masaaki , Tomioka Yoshihisa , Soga Tomoyoshi , Abe Takaaki
Published: April 2021

Uremic toxins are suggested to be involved in the pathophysiology of hemodialysis (HD) patients. However, the profile of uremic solutes in HD patients has not been fully elucidated. In this study using capillary electrophoresis mass spectrometry (CE-MS), we comprehensively quantified the serum concentrations of 122 ionic solutes before and after HD in 11 patients. In addition, we compared the results with those in non-HD patients with chronic kidney disease (CKD) to identify HD patient-specific solutes. We identified 38 solutes whose concentrations were higher in pre-HD than in CKD stage G5. Ten solutes among them did not significantly accumulate in non-HD CKD patients, suggesting that these solutes accumulate specifically in HD patients. We also identified 23 solutes whose concentrations were lower in both pre- and post-HD than in CKD stage G5. The serum levels of 14 solutes among them were not affected by renal function in non-HD patients, suggesting that these solutes tend to be lost specifically in HD patients. Our data demonstrate that HD patients have a markedly different profile of serum uremic solute levels compared to that in non-HD CKD patients. The solutes identified in our study may contribute to the pathophysiology of HD patients.
β-N-Methylamino-L-Alanine (BMAA) Causes Severe Stress in Nostoc sp. PCC 7120 Cells under Diazotrophic Conditions: A Proteomic Study
Authors: Koksharova Olga A. , Butenko Ivan O. , Pobeguts Olga V. , Safronova Nina A. , Govorun Vadim M.
Published: April 2021

Non-proteinogenic neurotoxic amino acid β-N-methylamino-L-alanine (BMAA) is synthesized by cyanobacteria, diatoms, and dinoflagellates, and is known to be a causative agent of human neurodegenerative diseases. Different phytoplankton organisms’ ability to synthesize BMAA could indicate the importance of this molecule in the interactions between microalgae in nature. We were interested in the following: what kinds of mechanisms underline BMAA’s action on cyanobacterial cells in different nitrogen supply conditions. Herein, we present a proteomic analysis of filamentous cyanobacteria Nostoc sp. PCC 7120 cells that underwent BMAA treatment in diazotrophic conditions. In diazotrophic growth conditions, to survive, cyanobacteria can use only biological nitrogen fixation to obtain nitrogen for life. Note that nitrogen fixation is an energy-consuming process. In total, 1567 different proteins of Nostoc sp. PCC 7120 were identified by using LC-MS/MS spectrometry. Among them, 123 proteins belonging to different functional categories were selected—due to their notable expression differences—for further functional analysis and discussion. The presented proteomic data evidences that BMAA treatment leads to very strong (up to 80%) downregulation of α (NifD) and β (NifK) subunits of molybdenum-iron protein, which is known to be a part of nitrogenase. This enzyme is responsible for catalyzing nitrogen fixation. The genes nifD and nifK are under transcriptional control of a global nitrogen regulator NtcA. In this study, we have found that BMAA impacts in a total of 22 proteins that are under the control of NtcA. Moreover, BMAA downregulates 18 proteins that belong to photosystems I or II and light-harvesting complexes; BMAA treatment under diazotrophic conditions also downregulates five subunits of ATP synthase and enzyme NAD(P)H-quinone oxidoreductase. Therefore, we can conclude that the disbalance in energy and metabolite amounts leads to severe intracellular stress that induces the upregulation of stress-activated proteins, such as starvation-inducible DNA-binding protein, four SOS-response enzymes, and DNA repair enzymes, nine stress-response enzymes, and four proteases. The presented data provide new leads into the ecological impact of BMAA on microalgal communities that can be used in future investigations.
Efflux at the Blood-Brain Barrier Reduces the Cerebral Exposure to Ochratoxin A, Ochratoxin α, Citrinin and Dihydrocitrinone
Authors: Behrens Matthias , Hüwel Sabine , Galla Hans-Joachim , Humpf Hans-Ulrich
Published: April 2021

Recent studies have implied that environmental toxins, such as mycotoxins, are risk factors for neurodegenerative diseases. To act directly as neurotoxins, mycotoxins need to penetrate or affect the integrity of the blood-brain barrier, which protects the mammalian brain from potentially harmful substances. As common food and feed contaminants of fungal origin, the interest in the potential neurotoxicity of ochratoxin A, citrinin and their metabolites has recently increased. Primary porcine brain capillary endothelial cells were used to investigate cytotoxic or barrier-weakening effects of ochratoxin A, ochratoxin α, citrinin and dihydrocitrinone. The transfer and transport properties of the mycotoxins across the barrier formed by porcine brain capillary endothelial cell monolayers were analysed using HPLC-MS/MS. High levels of Ochratoxin A caused cytotoxic and barrier-weakening effects, whereas ochratoxin α, citrinin and dihydrocitrinone showed no adverse effects up to 10 µM. Likely due to efflux transporter proteins, the transfer to the brain compartment was much slower than expected from their high lipophilicity. Due to their slow transfer across the blood-brain barrier, cerebral exposure of ochratoxin A, ochratoxin α, citrinin and dihydrocitrinone is low and neurotoxicity is likely to play a subordinate role in their toxicity at common physiological concentrations.