bluuebunny/crossref_metadata_2025 huggingface dataset:
A Sustainable Facility Management Outsourcing Relationships System: Artificial Neural Networks
Authors: Lok Ka Leung , So Albert , Opoku Alex , Chen Charles
Published: April 2021

The Contingency Outsourcing Relationship (CORE) model originated from the Four Outsourcing Relationship Types (FORT) model; the CORE model is used in the globalized Facility Management (FM) industry, while the FORT model is originally used in the global information technology industry. The purpose of this paper is to thoroughly analyse the simulated case studies of the four different categories (i.e., in-house, technical expertise, commitment and common goals) of the CORE model from the perspective of the various clients. This study builds on the previous work on the outsourcing relationships between a client and a globalized FM service provider. It further explores the application of this model with the aid of artificial neural networks (ANNs) towards a sustainable future. A quantitative methodology through a survey is used to analyse eight outsourcing strategies for the four outsourcing relationships. A set of revised rules of the CORE is introduced and discussed regarding the approaches to investigate the four simulated outsourcing relationship systems. The study further reveals that an interesting understanding of the four outsourcing categories can be systematically and efficiently implemented into the FM outsourcing relationships through the methodology of scientific Artificial Intelligence (AI). It is concluded that FM outsourcing categorization may help to define the appropriate relationships. This further detailed outcome generated from the ANN can be clearly considered a strong and solid reference to define and explain the existing outsourcing relationships between the stakeholders and the service providers with the aim to assign an outsourcing category to the FM relationship between the client and service provider based on the learnt rules.
Evaluation of Protein and Antioxidant Content in Apricot Kernels as a Sustainable Additional Source of Nutrition
Authors: Rampáčková Eliška , Göttingerová Martina , Gála Pavel , Kiss Tomáš , Ercişli Sezai , Nečas Tomáš
Published: April 2021

Apricot fruits are a favorite for consumption; however, their kernels are a rich source of nutritionally interesting substances, too. Nevertheless, in processing of apricots, the kernels remain often unused. In this study, 32 cultivars of different origin were analyzed for their protein content and content of secondary metabolites (phenolics and flavonoids). The weight and taste of kernels were assessed and these data were summarized for an evaluation of the attractiveness of the studied apricot kernels. Results showed that the protein content of kernels ranged from 14.56% to 28.77% and did not depend on the origin or weight of kernel, or taste. In addition, total phenolic (63.5–1277.3 mg GAE/100 g DW) and total flavonoid (0–153.1 mg CE/100 g DW) contents and antioxidant capacity (483.4–2348.4 mg TE/100 g DW) were measured in kernels. In conclusion, the Czech hybrids LE-5959, LE-5500 and French cultivar Koolgat are prospective for kernel processing and consumption because of their high protein content and sweet taste. Hybrid LI-3-6, originating in China, showed high protein content as well but because of bitter taste could be useful rather in medicine.
Assessment of the Suitability of Wintering Anatidae Habitats before and after Impoundment in the Three Gorges Reservoir Region
Authors: Li Xiuming , Cheng Ruimei , Xiao Wenfa , Sun Ge , Ma Tian , Liu Fuguo , Liu Xiaoyun , Qian Fawen , Pan Kaijun
Published: April 2021

In this study, we aimed to understand the distribution of and changes in the habitats suitable for Anatidae wintering in the Three Gorges Reservoir Region (TGRR), China, and to explore the impact of the impoundment during different impoundment periods. Based on species occurrence data for four dominant species of Anatidae and environmental factors, a maximum entropy (MaxEnt) model was used to analyze the suitability of habitats during five impoundment periods. The results show that the main factors affecting Anatidae distribution were temperature and roads before the Three Gorges Project (TGP) and elevation after the TGP. After the TGP, the area of the suitable habitat declined rapidly and then gradually increased with increasing water level. After impoundment, the primary area of increased habitat suitability was the main stream of the Yangtze River from Changshou District to Yunyang County and its tributary in the Kaizhou area. Among the habitats, the central water regions were more suitable than the marginal shoal areas. Anatidae habitats in the TGRR were distributed mainly within the Yangtze River main stream and the surrounding areas before the TGP, and the surrounding areas largely disappeared after the TGP, particularly in Chongqing City and Jiangjin District. In this context, it is challenging to create new protected areas within the habitat suitable for Anatidae in the main stream of the Yangtze River; we propose adding the Anatidae as conservation targets within the existing conservation agencies and implementing a waterbird monitoring program for scientific waterbird conservation and the sustainable development of the reservoir.
BIM Application for Sustainable Teaching Environment and Solutions in the Context of COVID-19
Authors: Leon Iñigo , Sagarna Maialen , Mora Fernando , Otaduy Juan Pedro
Published: April 2021

COVID-19 had a major impact on the 2030 Agenda for Sustainable Development, and it produced a crisis in Goal 4, which is aimed at ensuring quality education, among others. In this work, a university experience that aims to solve the challenges in this complicated context by means of BIM technology is presented. On the one hand, this study focuses on the development of teaching by means of active methodologies based on real projects through BIM models, using the latest information and communication technologies, and on the other hand, it focuses on the management of the education center by means of a virtual BIM building. This allowed for, among other things, tackling the sustainable management of the measures required to prevent contagion. These BIM models made it possible, for example, to optimize spaces while maintaining social distances between occupants, to simulate the best options for classroom ventilation, and to optimize special cleaning and disinfection resources. Students who developed their learning through these BIM virtual models were not restricted in receiving online classes; they learned to collaborate from anywhere in the world, acquiring skills that allow them to effectively face real situations that are as complicated as COVID-19.
Contribution to the Sustainability of Agricultural Production in Greenhouses Built on Slope Soils: A Numerical Study of the Microclimatic Behavior of a Typical Colombian Structure
Authors: Villagran Edwin , Bojacá Carlos , Akrami Mohammad
Published: April 2021

The use of covered structures is an alternative increasingly used by farmers to increase crop yields per unit area compared to open field production. In Latin American countries such as Colombia, productive areas are located in with predominantly hillside soil conditions. In the last two decades, farmers have introduced cover structures adapted to these soil conditions, structures for which the behavior of factors that directly affect plant growth and development, such as microclimate, are still unknown. Therefore, in this research work, a CFD-3D model successfully validated with experimental data of temperature and air velocity was implemented. The numerical model was used to determine the behavior of air flow patterns and temperature distribution inside a Colombian passive greenhouse during daytime hours. The results showed that the slope of the terrain affects the behavior of the air flow patterns, generating thermal gradients inside the greenhouse with values between 1.26 and 16.93 °C for the hours evaluated. It was also found that the highest indoor temperature values at the same time were located in the highest region of the terrain. Based on the results of this study, future researches on how to optimize the microclimatic conditions of this type of sustainable productive system can be carried out.
Community Preferences for Urban Systems Transformation in Australia
Authors: Costanza-van den Belt Milo , O’Donnell Tayanah , Webb Robert , Robson Eleanor , Costanza Robert , Ling Jiaqian , Crowe Sarah , Han Hao
Published: April 2021

Civil society engagement is important for enabling urban systems transformations that meet community needs. The development of Future Earth Australia’s Sustainable Cities and Regions: A 10-Year Strategy for Urban Systems was underpinned by cross-sectoral workshops in 7 Australian urban areas and interviews with key stakeholders to create a shared vision of both current and desired future urban structure and policy. We then created an online survey to gauge broader community feedback on the vision which emerged from these workshops and interviews, to compare their outcomes with the views of community members who could be directly impacted by urban decision-making. The survey consisted of 35 questions, which were shaped by the issues emerging from the workshops and interviews. The sample was self-selected, and the 641 respondents represented a cross-section of individuals interested in sustainable cities. Our survey results supported and expanded on the major conclusions of FEA’s National workshop and interview processes, including the need to develop transparent and responsive decision-making processes, limit waste and pollution and develop effective housing and transport alternatives with mixed-use neighborhoods and adequate green space.
Mapping Social Impact Assessment Models: A Literature Overview for a Future Research Agenda
Authors: Corvo Luigi , Pastore Lavinia , Manti Arianna , Iannaci Daniel
Published: April 2021

The social impact assessment (SIA) process is widely utilised and is receiving increasing interest from both scholars and practitioners. A systematic approach was applied in this study to search for articles about SIA models. In the first step, we analysed six main SIA model mappings between 2004 and 2015. In the second step, 98 models were identified. The main findings include the definition of emerging paths for the future research agenda on this topic. Compared with previous SIA mappings, we identified 22 additional models that are related to the sustainability discourse. The meaning of sustainability is defined both by the emergence of new systems in finance that require specific metrics and in relation to the global agenda towards sustainable development. It is interesting to notice how social impact models, sustainability indicators (under the global framework of sustainable development goals (SDGs)) and new financial scores (such as environmental, social and governance (ESGs)) are converging into a common discourse, even if divergence is still present, and further research is needed to unlock the relationships among them.
Models for Administration to Ensure the Successful Transition to Distance Learning during the Pandemic
Authors: Jusas Vacius , Butkiene Rita , Venčkauskas Algimantas , Burbaite Renata , Gudoniene Daina , Grigaliūnas Šarūnas , Andone Diana
Published: April 2021

Lack of guidelines for implementing distance learning, lack of infrastructure, lack of competencies, and security-related problems were the challenges met during the pandemic. These challenges firstly fall on the administration of a higher education institution. To assist in solving the challenges of the pandemic for the administration of a higher education institution, the paper presents several models for the organization of the processes of distance learning. These models are as follows: a conceptual model of distance learning, a model of strategic planning of distance learning, a model of the assessment before the start of distance learning, a model of the preparation for distance learning, and a model of the process of distance learning and remote work. Student profile, lecturer profile, organizational environment, assessment, and planning of the infrastructure of information and communication technology (ICT), assessment and planning of the virtual learning environment, and assessment of distance learning competencies of participants of the study process are also considered. The developed models are based on five main processes of instructional design, i.e., analysis, design, development, implementation, and evaluation. The models provide guidelines for the administration of higher education institutions on the preparation and delivery of distance learning during the pandemic. The models were validated by 10 experts from different higher education institutions. The feasibility of the data collection instrument was determined by Cronbach’s alpha coefficient that is above 0.9.
Spatial and Temporal Distribution of Elderly Public Transport Mode Preference
Authors: Fatima Kaniz , Moridpour Sara , Saghapour Tayebeh
Published: April 2021

The elderly population is increasing rapidly. Understanding travel behaviour for this group of commuters (in terms of the trip purpose and travel time) is necessary for future transport planning. Many researchers are working on travel’s spatial and temporal analysis to provide operational decision making and transport network planning. This research study’s primary purpose is to identify the influence of trip duration (using public transport), time of the day (usage of public transport), and public transport (PT) accessibility over public transport mode preference by elderly (over 65 years of age) commuters. The methodology of this study is divided into two parts as spatial analysis and temporal analysis. The research identified the dependency of trip duration, time of the day, geographical areas, and PT access over transport mode preference of elderly. The temporal study shows that transport mode preference can vary depending on trip purposes. However, for specific trip durations and times of the day, the elderly sometimes choose PT as a mobility mode. For instance, on shopping trips between 10:00 and 11:00 a.m., the elderly have a greater possibility of choosing public transport over private vehicles. Moreover, the results show the public transport mode preference based on different times of the day and trip purposes. Urban and transport planner can use the results to modify/plan public transport schedule, which can be easily accessible by the elderly population.
Evaluating the Role of Geofoam Properties in Reducing Lateral Loads on Retaining Walls: A Numerical Study
Authors: Khan Muhammad Imran , Meguid Mohamed A.
Published: April 2021

Expanded polystyrene (EPS) geofoam is a lightweight compressible material that has been widely used in various civil engineering projects. One interesting application of EPS in geotechnical engineering is to reduce the lateral earth pressure on rigid non-yielding retaining walls. The compressible nature of the EPS geofoam allows for the shear strength of the backfill soil to be mobilized, which leads to a reduction in lateral earth pressure acting on the wall. In this study, a finite element model is developed and used to investigate the role of geofoam inclusion between a rigid retaining wall and the backfill material on the earth pressure transferred to the wall structure. The developed model was first calibrated using experimental data. Then, a parametric study was conducted to investigate the effect of EPS geofoam density, relative thickness with respect to the wall height, and the frictional angle of backfill soil on the effectiveness of this technique in reducing lateral earth pressure. Results showed that low-density EPS geofoam inclusion provides the best performance, particularly when coupled with backfill of low friction angle. The proposed modeling approach has shown to be efficient in solving this class of problems and can be used to model similar soil-geofoam-structure interaction problems.
Indicators for Ex-Post Evaluation of Cultural Heritage Adaptive Reuse Impacts in the Perspective of the Circular Economy
Authors: Bosone Martina , De Toro Pasquale , Fusco Girard Luigi , Gravagnuolo Antonia , Iodice Silvia
Published: April 2021

Cultural heritage (CH) is considered a key element of cities and regions’ identity anduniqueness, contributing to people's wellbeing and health, as well as jobs creation, environmentalregeneration and place attractiveness. The adaptive reuse of abandoned and underused CH can be asustainable strategy for heritage conservation, stimulating local development processes. However,heritage conservation needs large investments, while the resources available are scarce, and invest-ment projects are subject to high uncertainties. Therefore, a careful assessment of impacts is neededto orient and direct CH adaptive reuse projects towards sustainability. Recent studies approach theadaptive reuse of abandoned buildings and sites as an effective circular economy strategy, potentiallycontributing to climate objectives through environmental regeneration and the reduction of naturalresources consumption. However, evaluation tools to assess the impacts and orient adaptive reuseinterventions in the perspective of circularity are lacking. Through the analysis of 76 literature sourceson CH impacts, this article explores how indicators are currently used in CH research and practice asimpact assessment tools. More than 3500 indicators were retrieved and classified. Finally, this articleproposes a comprehensive evaluation framework to assess the impacts of cultural heritage adaptivereuse in the perspective of the circular economy. The results show that, while some indicators areavailable, many circularity aspects are not considered in the current studies on CH impacts.
No Anxious Student Is Left Behind: Statistics Anxiety, Personality Traits, and Academic Dishonesty—Lessons from COVID-19
Authors: Steinberger Pnina , Eshet Yovav , Grinautsky Keren
Published: April 2021

Scholarly studies have revealed that exposure to statistics courses affect students’ anxiety levels and that this has been associated with unethical misconduct. Thus, the present research’s main objective is to comprehend the mediating role Statistics Anxiety plays on the relationship comprising students’ personality traits and academic dishonesty as manifesting before and during the COVID-19 pandemic. Its aim is to understand this phenomenon and provide theoretical tools for fostering sustainably personalized distance learning and instruction. Data were collected from students studying for a bachelor’s degree in the social sciences at three different Israeli colleges. The sample comprises 316 participants and data were analyzed using Structural Equation Modelling (SEM). The results show a significant mediation manifested by an indirect effect between personality traits and academic dishonesty via statistics anxiety only in emergency remote teaching, although no parallel significant mediation was observed in the face-to-face course. These results could be explained by differences in delivery methods. Thus, we recommend that in the emergency remote teaching environment instructors’ presence include: (1) supportive, emphatic interaction to reduce virtual distance and (2) Social Emotional Learning (SEL) strategies, which foster students’ learning challenges and prevent anxiety and academic dishonesty.
Mapping Generation Y Tourists’ E-Loyalty: A Sustainable Framework through Hierarchical Structure and Fuzzy Set Theory
Authors: Negash Yeneneh Tamirat , Moslehpour Massoud , Lin Pei-Kuan , Chiu Shao-Chun , Liu Yung-Yen
Published: April 2021

Generation Y (Gen Y) travel spending is set to soar and has enormous implications for hospitality firms’ economic sustainability. However, previous studies have failed to examine the hierarchical interrelationship between e-loyalty attributes in the presence of a hierarchical structure and linguistic preferences. Consequently, the purpose of this paper is to identify a list of e-loyalty attributes and to examine each attribute’s importance to Gen Y consumers’ e-loyalty intentions in the context of tourism. Drawing on an ad hoc survey of 230 graduate students in Taiwan, the study employs exploratory factor analysis to analyze the method’s validity and reliability. Furthermore, 30 Gen Y consumers are invited to evaluate the identified measures using fuzzy linguistic scales. The fuzzy set theory is then employed to translate the qualitative responses into crisp values. The decision-making trial evaluation laboratory is used to understand the interrelationships between the e-loyalty attributes. The empirical findings reveal that trust, utilitarian features, and hedonic features all play essential roles in Gen Y tourists’ e-loyalty. In addition, perceived enjoyment, website competency, emotional connection, candid and authentic site information, and delightful experiences are crucial factors in the formation of customer e-loyalty. Both theoretical and managerial implications are discussed.
VAT Efficiency—A Discussion on the VAT System in the European Union
Authors: Kowal Anna , Przekota Grzegorz
Published: April 2021

The effectiveness of the tax system can be analysed in various ways. According to the authors one of manifestations of such effectiveness is resistance to tax evasion. This phenomenon is influenced by multiple factors, with few being the level of VAT rates and the number of rates in force in the country concerned. The aim of the considerations is therefore to analyse how the standard VAT rate as well as the number of rates affect the effectiveness of this tax. The research was based on a literature query in the field of value added tax in the European Union. In addition, the problem of tax evasion was indicated and the aggregated data on the size of the tax gap in the Member States were presented. Then, there are the results of the research for 27 European Union countries for 2011–2019. The efficiency of VAT collection was modelled using square function, determining the significance of the parameters of this function, as well as the value of abscissa, which made it possible to group the countries based on how they maintained the efficiency of VAT collection over the analysed period of time. The final part of the study concentrates on the relationship between the efficiency of tax collection and the amount of both the basic rate and the number of rates. The conclusions of the research are as follows: a tax system with a small number of reduced rates, and preferably with one relatively low standard rate, is the system least susceptible to tax fraud. The research also shows a positive correlation between the value of the basic VAT rate along with the number of preferential rates and the scale of the tax gap, i.e., in countries with a higher standard VAT rate and a greater number of preferential rates, the tax gap is greater. The study will enable further investigation into the strategy of determining the optimal VAT rate and the process of its unification. Proposed changes may contribute to increasing the efficiency of VAT administration in EU countries, reducing the shadow economy, tax fraud and positively influencing economic growth.
Development and Structural Changes of Carbon Footprint in EU28
Authors: Slaboch Josef , Hálová Pavlína , Laputková Adriana
Published: April 2021

This paper examines the development of CO2 emissions in individual countries of the European Union (EU28) for the period between 2000 and 2017. Carbon footprint is monitored in four basic economic sectors of the EU28 countries—energy, other industries, agriculture, and waste management. The purpose of this paper is to conduct a structural analysis of the percentage contribution of individual sectors while determining the average conversion of emissions in tonnes per capita for individual countries, subsequently identifying the tendencies in the development of the detected rates. A cluster analysis for the EU28 that demonstrate similar carbon footprint values in the examined economic areas is conducted for the findings. The partial aim of the paper is to perform a comparison of the monitored countries and detect whether the differences between those striving for decarbonisation are diminishing. The energy industry is the most significant contributor to emission levels. The index analysis indicates that the level of emissions throughout the EU28 in all the monitored sectors has decreased, predominantly in waste management (by 40%,) which is followed by industry (17%), energy (by 16.2%), and agriculture (by 5%). The cluster analysis conducted for 2000 and 2017 has confirmed the convergence of the identified groups of the EU28. Individual clusters of the countries thus display minor differences and converge in general.
Characteristics of Models of Farms in the European Union
Authors: Klikocka Hanna , Zakrzewska Aneta , Chojnacki Piotr
Published: April 2021

The article describes and sets the definition of different farm models under the categories of being family, small, and large-scale commercial farms. The distinction was based on the structure of the workforce and the relationship between agricultural income and the minimum wage. Family farms were dominated by the farming family providing the labour and their income per capita exceeded the net minimum wage in the country. The larger commercial farms feature a predominance of hired labour. Based on surveys, it was found that in 2016 in the EU-28 there were 10,467,000 farms (EU-13—57.3%, EU-15—42.7%). They carried out agricultural activities on an area of 173,338,000 ha (EU-13—28.5%, EU-15—71.5%). Countries of the EU-28 generated a standard output (SO) amounting to EUR 364,118,827,100 (EU-13—17.2% and EU-15—82.8%). After the delimitation, it was shown that small farming (70.8%) was the predominant form of management in the European Union (EU-13—88.2% and EU-15—79.8%) compared to family farming (18.4%) (EU-13—10.5% and EU-15—29%). In most EU countries the largest share of land resources pertains to small farms (35.6%) and family farms (38.6%) (UAA—utilised agricultural area of farms).
An Integrated Method for Landscape Assessment: Application to Santiago de Cuba Bay, Cuba
Authors: Zielinski Seweryn , Milanés Celene B. , Cambon Elena , Perez Montero Ofelia , Rizo Lourdes , Suarez Andres , Cuker Benjamin , Anfuso Giorgio
Published: April 2021

Human activities often drive landscape degradation and the associated loss of value. This paper describes a method that, by integrating multiple factors, characterize landscape value to establish relevant and effective management practices. The new integrated method for landscape assessment (IMLA) is a four-step model that includes: (i) establishment of a general theoretical basis for sustainability relevant metrics; (ii) characterization of the landscape; (iii) landscape valuation; (iv) recommendations for landscape value management. Each step includes different interactive components of analysis. The new IMLA considers the potential range of values associated with each landscape unit and facilitates sustainable landscape management. The method is systematic and includes both inductive and deductive reasoning. Its articulation is represented in the conjunction and overlapping of all factors and variables considered. IMLA was tested in Santiago de Cuba Bay (Cuba) and used to determine five landscape scopes, eight first-order landscape units and 29 s-order units. It proved to be a useful tool to establish landscape values and sound management strategies. Application of IMLA in Cuba will help local authorities institute land-use plans and to establish decision-making processes that include valuation of cultural landscapes.
Uncertainty and Emerging Tensions in Organizational Change: A Grounded Theory Study on the Orchestrating Role of the Change Leader
Authors: Virili Francesco , Ghiringhelli Cristiano
Published: April 2021

We draw on the grounded theory methodology to analyze an automation project in a global parcel delivery company, as implemented in three parcel sorting hubs in two countries, seeking to identify key factors in successful change and the role of the change leader. We show that a crucial—but often neglected—aspect of successful change is the detection and management of tensions stemming from uncertainty. By recognizing and managing uncertainty and tensions (in this case, manual vs. automated, corporate vs. site, and planned vs. emergent), the change leader, here the industrial engineering function, can orchestrate the differing views and expectations of corporate actors toward a successful implementation of a change program. In line with recent theories on paradoxes and tensions in organizational change, our empirical outcomes imply that effective leadership of change requires the conscious acceptance of uncertainty and tensions between opposite options in key decision areas.
The Contribution of Up-Cycled Food Waste to a Balanced Diet of Low-Income Households
Authors: Nogueira Anne , Alves Fátima , Vaz-Fernandes Paula
Published: April 2021

This paper focuses on the contribution of an upcycling food organization to a balanced diet, which rescues and redistributes fresh or freshly cooked food to low-income households. To determine the nutritional balance of food hampers provided by our case study organization, according to the Portuguese food guidelines, we have weighed all items of food hampers in three weighing rounds over a period of four months. The results suggest that upcycled foods can contribute to a more balanced diet in terms of “Potato, Cereal and Cereal Products”, “Vegetables”, “Meat, Fish, Seafood and Eggs” and “Fruits”, both according to the Portuguese Food Wheel and compared to that of the general Portuguese population. The novelty of this study is the evaluation of the contribution to the balanced diet of the population in a vulnerable situation, of perishable foods such as freshly cooked, in traditional restaurants, cafes, bakeries, and hotels, or is naturally fresh (fruit and vegetables food aid services) up-cycled by a food aid organization.
Crop Yield and Physicochemical Properties of Wheat Grains as Affected by Tillage Systems
Authors: Yousefian Majid , Shahbazi Feizollah , Hamidian Kianoosh
Published: April 2021

In this study, we aimed to determine the effects of tillage systems (TS) on wheat grain yield, yield components, and physicochemical properties under rain-fed conditions over 2 years (2018–2019) in the Kuhdasht region in southwestern Iran. The tillage treatments were a combination of conventional tillage (CT), reduced tillage (RT), and no tillage (NT) systems based on randomized complete blocks with three replications. Wheat grain yields and yield components, physical properties (geometrical dimensions, sphericity, thousand-grain mass (TGM), water absorption (WA), volume (V), and density), chemical composition (protein content (PC), water content (WC), fiber content (FC), ash content (AC)), surface color parameters (L*, a*, and b*), and correlations among measured parameters were assessed. The results showed that wheat grain yield and yield components were significantly affected by TS (p < 0.01). The wheat grain yield was higher under CT (2.72 t ha−1), with a significant difference between RT (1.76 t ha−1) and NT (1.20 t ha−1). The highest TGM (49.19 g) was achieved under CT, followed by RT (43.41 g), with the lowest (39.17 g) in the NT system. TS had significant effects on certain physical properties of wheat grains (p < 0.01). Wheat grain, size, shape, and mass values were higher under CT than RT and NT systems in all experimental years. CT resulted in the highest WA, while the lowest resulted from NT. TS had no significant influence on the density of the grains. TS had significant effects on PC, AC, and WC values of grains at the 1% probability level and on FC at the 5% level. Higher PC values were obtained under the CT system (13.07%, against 11.90% and 10.67% for RT and NT, respectively) in all growing seasons. Additionally, the AC was significantly lower in the sample grains under RT (2.38%) and NT (2.43%) than in those from CT (2.56). The FC was higher under NT (15.73%) than RT (13.73) and CT (13.71%). The grain WC was significantly higher under NT (7.57%) than RT (6.79%) and CT (7.0%). The TS significantly affected the surface color parameters of grains, while the L* (lightness) and b* (yellowness) values of grains under CT were higher than in RT and NT.
A Systematic Review of the Existing Literature for the Evaluation of Sustainable Urban Projects
Authors: Morano Pierluigi , Tajani Francesco , Guarini Maria Rosaria , Sica Francesco
Published: April 2021

From the 21st century to the present(2021), a worldwide awareness that cities’ development must be based on projects for socio-economic growth and environmental protection is increasing. World governmental agencies and the European Union have suggested action strategies for the construction of «prototype cities» whose value must be founded on the inclusion and/or preservation of anthropic-natural elements and their effects on territories. In order to minimize the theoretical–practical gap between planning and project design with a view to sustainable development and the evaluation of their performance from economic, social and environmental points of view, the present contribution aims to outline a framework useful for systematizing the main scientific contributions concerning sustainability and the evaluation of urban transformation projects. The objective is pursued by analyzing bibliographic references with specific regard to the use of logical-operative methodologies used to rationalize the processes of interventions’ evaluation and selection. The task of examining the available literature is carried out with an investigation protocol of four sequential steps. From the implementation of the last one, the evidence expressing the heterogeneity of the examples in the literature is described. Accordingly, the theoretical-methodological framework for the project evaluation from an urban sustainability perspective is illustrated.
School Students’ Perception and Challenges towards Online Classes during COVID-19 Pandemic in India: An Econometric Analysis
Authors: Khan Mohammed Arshad , Kamal Tuba , Illiyan Asheref , Asif Mohd
Published: April 2021

Due to the COVID-19 pandemic, the worldwide education system has been severely affected, following the shutdown of schools and colleges/universities since March 2020 in order to prevent the spread of the virus. Conventional classrooms shifted to online classrooms which profoundly impacted teachers’ and students’ closed interaction, making a paradigm shift in the teaching-learning process, inter alia. Against such a backdrop, it is relevant to analyze the perception of students and the challenges of online classes during this ongoing COVID-19 outbreak. The present study is based on a quantitative and sample survey approach. The respondent sample of 385 secondary school students from grades 8 to 12 in Delhi have been collected through a Google Form Questionnaire. The study was conducted in the months of January and February 2021. Statistical techniques, such as Descriptive Statistics, Chi-Square Test, Factor Analysis, Reliability Test and Logistic Regression, were used for analyzing the data. The Logistic Regression result shows that the quality of Internet, prior knowledge of ICT, family income, mother’s education and the number of rooms are positively impacting online classes. The findings of the study revealed that, on average, students have positive perceptions towards online classes during the pandemic to maintain their academic growth. Nonetheless, they experienced several challenges in online classes. Thus, the outcome of this research study will encourage policy makers and educational institutes to handle online classes in a better way, by adopting the latest techniques of online classes and by training teachers and students continuously so that the teaching–learning process becomes more enjoyable and effective during this ongoing pandemic. The government must take certain remedial measures to overcome the challenges in online classes and reduce the digital divide so that no students will be left out.
The Impact of Residents’ Participation on Their Support for Tourism Development at a Community Level Destination
Authors: Kim Songyi , Kang Youngeun , Park Jin-Han , Kang Sung-Eun
Published: April 2021

Resident participation is crucial to the success of tourism development at community-level destinations. This study examines the effect of residents’ participation on their support for tourism development at the community level through a case study of Gamcheon Culture Village, South Korea. Using the structural equation model (SEM), including the variables of participation of tourism development, community attachment, economic dependence, perceived positive impacts, perceived negative impacts, and attitude toward tourism development, this study found that participation in tourism development significantly influences residents’ attitude toward development. Residents’ participation not only directly affects their attitude toward tourism development, but also indirectly influences it by increasing their positive perception of tourism development. Results empirically reveal that resident participation is critical to tourism development, especially for destinations at the local level.
An Evaluation of the Formative Experiences of Students Enrolled in Postgraduate Studies in Education: Case Study in Northern Mexico
Authors: Cervantes Brenda Imelda Boroel , Jiménez Moreno José Alfonso , Ponce Ceballos Salvador , Sánchez Santamaría José
Published: April 2021

The educational journey in postgraduate programs is linked to the actors, processes and results, setting the tone for different approaches from the perspective of characterization, development and evaluation. It is summarized in a sequential manner in four stages: entry to the program, progress within the program, and the final educational stretch, where the instructor/tutor plays an important part and obtaining the diploma or degree. The goal of this research was to evaluate, using the students’ perceptions, formative experiences as a result of their academic journey in postgraduate programs within education in Northern Mexico. We have used a case study based on the focus groups technique, applied to a sample of cases comprised of students enrolled in their final educational stage. The information was analyzed using inductive data analysis. The main results were grouped into three meta categories: (1) development of professional skills for the successful design of the intervention proposal, which unfolded into four categories; (2) the role of the tutor during the formative process, consisting of four analysis categories and (3) contributions of the teaching staff in their profession, consisting of two categories. These trends also evidence the formative abundance in the personal, academic and social training context of the students.
The Impact of Sex and Personality Traits on Social Media Use during the COVID-19 Pandemic in Poland
Authors: Zdonek Dariusz , Król Karol
Published: April 2021

The COVID-19 pandemic has affected the way people use social media in a particular manner. The paper aims to investigate the impact of the pandemic on the use of social media, taking into account the sex and personality types of users in Poland. The survey involved 469 active users of social media. The data were analysed with statistical methods. A significant part of the respondents believed that the COVID-19 pandemic affected the way they used social media. They pointed out that the most common social media use drivers were immediate needs, often of pragmatic nature, such as rapid communication and exchange of information, and social needs. Among the survey population, it was the women who were more active on social media, particularly regarding Instagram. They were also more active on Pinterest and Snapchat. Men were more active on YouTube. Extraverts published more often on Facebook, Instagram, Snapchat, or Pinterest by a wide margin. They were also more active in general and more often judged social media content. The respondents indicated social platforms they believed would gain or lose popularity in the nearest future. The overall conclusion is that the pandemic may be a good time to launch new social platforms or promote less popular ones with new functionalities and narrow targets.
Performance Measurement System: Implementation Process in SMEs
Authors: Papulová Zuzana , Gažová Andrea , Šlenker Maroš , Papula Jan
Published: April 2021

There is still a considerable interest in the topic of business performance, both in scientific community as well as in managerial praxis. Especially, the area of performance measurement system (PMS) and its implementation is forming a considerable scope for improvement. However, the research of PMS implementation in small and medium-sized enterprises (SMEs) have been underestimated. Despite the significant contribution of SMEs to economic growth, employment share or predominance of SMEs over large companies, a very small amount of theoretical and empirical researches has been carried out focusing on implementation of PMS in SMEs. This paper is addressing the readiness and successfulness of SMEs in PMS implementation. The aim of our research was to analyze the process of PMS implementation in SMEs and to identify factors that influence the success and satisfaction with implemented PMS and to identify problematic factors that cause failure, dissatisfaction and create limits to PMS application. Sample of our research consisted of 336 SMEs operating in Slovakia of various ages, sizes, and different approach to performance measurement. Based on results of our research, we created suggestions and a set of the key success factors to each phase of PMS implementation process that respect the specifics and nature of SMEs. Within each phase, we found evidence that several factors significantly raise the potential of successfulness of PMS implementation, and others, in contrary, are contributing to the unsuccessfulness.
Human Resource Practice Management for Knowledge Intensive Team: IMPACT on Team Innovation Performance and Substitution Effect of Empowerment Leadership
Authors: Han Zhen , Ren Hao , Yang Shiyu , Han Yuhang
Published: April 2021

As an important factor in society development, human resource management is crucial to enhance the effectiveness of an organization. In this paper, the research focuses on the human resource management practice in knowledge-intensive teams, and studies the relationship between knowledge sharing and team innovation performance in combination with the practice of ability improvement, opportunity improvement and motivation improvement, aiming at verifying the various research hypotheses, practical policy suggestions are proposed to improve the enterprises management. A leadership substitution model is used to introduce empowerment leadership as the boundary condition to the analysis framework, and the regulatory effect of the empowerment leadership on human resource management practice and team knowledge sharing are discussed through the method of empirical analysis. The analysis results showed the substitution effect between cross-level empowerment leadership and human resource management practice and proved an alternative role between human resource management practice and empowerment leadership in a knowledge-intensive team, which provides a preliminary research basis for later research. The results fully demonstrate that for knowledge-intensive teams, more targeted human resource management practice is needed as the theoretical support. Based on leadership substitution theory, this study explored the relationship between human resource practice and innovation, trying to extend the reverse effect of leadership substitution theory. A cross-layer model is discussed as the paper distinguished implementation of human resource management practices and perceived human resource management practice.
Quasi-Rational Analytic Approximation for the Modified Bessel Function I1(x) with High Accuracy
Authors: Martin Pablo , Rojas Eduardo , Olivares Jorge , Sotomayor Adrián
Published: April 2021

A new simple and accurate expression to approximate the modified Bessel function of the first kind I1(x) is presented in this work. This new approximation is obtained as an improvement of the multi-point quasi-rational approximation technique, MPQA. This method uses the power series of the Bessel function, its asymptotic expansion, and a process of optimization to fit the parameters of a fitting function. The fitting expression is formed by elementary functions combined with rational ones. In the present work, a sum of hyperbolic functions was selected as elementary functions to capture the first two terms of the asymptotic expansion of I1(x), which represents an important improvement with respect to previous research, where just the leading term of the asymptotic series was captured. The new approximation function presents a remarkable agreement with the analytical solution I1(x), decreasing the maximum relative error in more than one order of magnitude with respect to previous similar expressions. Concretely, the relative error was reduced from 10−2 to 4×10−4, opening the possibility of applying the new improved method to other Bessel functions. It is also remarkable that the new approximation is valid for all positive and negative values of the argument.
Security and Privacy in Cloud-Based E-Health System
Authors: Sivan Remya , Zukarnain Zuriati Ahmad
Published: April 2021

Cloud based healthcare computing have changed the face of healthcare in many ways. The main advantages of cloud computing in healthcare are scalability of the required service and the provision to upscale or downsize the data storge, collaborating Artificial Intelligence (AI) and machine learning. The current paper examined various research studies to explore the utilization of intelligent techniques in health systems and mainly focused into the security and privacy issues in the current technologies. Despite the various benefits related to cloud-computing applications for healthcare, there are different types of management, technology handling, security measures, and legal issues to be considered and addressed. The key focus of this paper is to address the increased demand for cloud computing and its definition, technologies widely used in healthcare, their problems and possibilities, and the way protection mechanisms are organized and prepared when the company chooses to implement the latest evolving service model. In this paper, we focused on a thorough review of current and existing literature on different approaches and mechanisms used in e-Health to deal with security and privacy issues. Some of these approaches have strengths and weaknesses. After selecting original articles, the literature review was carried out, and we identified several models adopted in their solutions. We arrived at the reviewed articles after comparing the models used.