bluuebunny/crossref_metadata_2025 huggingface dataset:
A Novel Fetal Movement Simulator for the Performance Evaluation of Vibration Sensors for Wearable Fetal Movement Monitors
Authors: Ghosh Abhishek Kumar , Burniston Sonny F. , Krentzel Daniel , Roy Abhishek , Sheikh Adil Shoaib , Siddiq Talha , Trinh Paula Mai Phuong , Velazquez Marta Mambrilla , Vielle Hei-Ting , Nowlan Niamh C. , Vaidyanathan Ravi
Published: October 2020

Fetal movements (FM) are an important factor in the assessment of fetal health. However, there is currently no reliable way to monitor FM outside clinical environs. While extensive research has been carried out using accelerometer-based systems to monitor FM, the desired accuracy of detection is yet to be achieved. A major challenge has been the difficulty of testing and calibrating sensors at the pre-clinical stage. Little is known about fetal movement features, and clinical trials involving pregnant women can be expensive and ethically stringent. To address these issues, we introduce a novel FM simulator, which can be used to test responses of sensor arrays in a laboratory environment. The design uses a silicon-based membrane with material properties similar to that of a gravid abdomen to mimic the vibrations due to fetal kicks. The simulator incorporates mechanisms to pre-stretch the membrane and to produce kicks similar to that of a fetus. As a case study, we present results from a comparative study of an acoustic sensor, an accelerometer, and a piezoelectric diaphragm as candidate vibration sensors for a wearable FM monitor. We find that the acoustic sensor and the piezoelectric diaphragm are better equipped than the accelerometer to determine durations, intensities, and locations of kicks, as they have a significantly greater response to changes in these conditions than the accelerometer. Additionally, we demonstrate that the acoustic sensor and the piezoelectric diaphragm can detect weaker fetal movements (threshold wall displacements are less than 0.5 mm) compared to the accelerometer (threshold wall displacement is 1.5 mm) with a trade-off of higher power signal artefacts. Finally, we find that the piezoelectric diaphragm produces better signal-to-noise ratios compared to the other two sensors in most of the cases, making it a promising new candidate sensor for wearable FM monitors. We believe that the FM simulator represents a key development towards enabling the eventual translation of wearable FM monitoring garments.
Squinted Airborne Synthetic Aperture Radar Imaging with Unknown Curved Trajectory
Authors: Pu Wei , Wu Junjie , Huang Yulin , Yang Jianyu
Published: October 2020

The imagery of airborne highly squinted synthetic aperture radar (SAR) with curved trajectory is a challenging task due to the translational-variant range cell migration (RCM) and azimuth modulation. However, in most cases of practical application, the curved trajectory cannot be accurately known, which brings greater difficulties to the imaging problem. To accommodate these issues, we propose a novel motion modelling and optimisation based imaging algorithm for the highly squinted SAR with unknown curved trajectory. First, to correct the translational-variant RCM, a coarse-to-fine RCM correction scheme as well as a range perturbation approach is applied. Afterwards, an optimisation model of motion information under the criterion of minimum entropy is built during the azimuth processing by nonlinear chirp scaling (NLCS). Correspondingly, a differential evolution (DE) optimisation strategy is proposed to estimate the motion information in an iterative manner. We empirically compare the proposed algorithms with several state-of-the-art highly squinted curved SAR imaging algorithms. Numerical results show the effectiveness of the proposed method in the case without any prior information of the curved trajectory.
A Novel Adaptive Two-Stage Information Filter Approach for Deep-Sea USBL/DVL Integrated Navigation
Authors: He Kaifei , Liu Huimin , Wang Zhenjie
Published: October 2020

An accurate observation model and statistical model are critical in underwater integrated navigation. However, it is often the case that the statistical characteristics of noise are unknown through the ultra-short baseline (USBL) system/Doppler velocity log (DVL) integrated navigation in the deep-sea. Additionally, the velocity of underwater vehicles relative to the bottom of the sea or the currents is commonly provided by the DVL, and an adaptive filtering solution is needed to correctly estimate the velocity with unknown currents. This paper focuses on the estimation of unknown currents and measurement noise covariance for an underwater vehicle based on the USBL, DVL, and a pressure gauge (PG), and proposes a novel unbiased adaptive two-stage information filter (ATSIF) for the underwater vehicle (UV) with an unknown time-varying currents velocity. In the proposed algorithm, the adaptive filter is decomposed into a standard information filter and an unknown currents velocity information filter with interconnections, and the time-varying unknown ocean currents and measurement noise covariance are estimated. The simulation and experimental results illustrate that the proposed algorithm can make full use of high-precision observation information and has better robustness and navigation accuracy to deal with time-varying currents and measurement outliers than existing state-of-the-art algorithms.
Enhancing Crowd Monitoring System Functionality through Data Fusion: Estimating Flow Rate from Wi-Fi Traces and Automated Counting System Data
Authors: Duives Dorine C. , van Oijen Tim , Hoogendoorn Serge P.
Published: October 2020

Crowd monitoring systems (CMSs) provide a state-of-the-art solution to manage crowds objectively. Most crowd monitoring systems feature one type of sensor, which severely limits the insights one can simultaneously gather regarding the crowd’s traffic state. Incorporating multiple functionally complementary sensor types is expensive. CMSs are needed that exploit data fusion opportunities to limit the number of (more expensive) sensors. This research estimates a data fusion algorithm to enhance the functionality of a CMS featuring Wi-Fi sensors by means of a small number of automated counting systems. Here, the goal is to estimate the pedestrian flow rate accurately based on real-time Wi-Fi traces at one sensor location, and historic flow rate and Wi-Fi trace information gathered at other sensor locations. Several data fusion models are estimated, amongst others, linear regression, shallow and recurrent neural networks, and Auto Regressive Moving Average (ARMAX) models. The data from the CMS of a large four-day music event was used to calibrate and validate the models. This study establishes that the RNN model best predicts the flow rate for this particular purpose. In addition, this research shows that model structures that incorporate information regarding the average current state of the area and the temporal variation in the Wi-Fi/count ratio perform best.
Urban Sprawl and Growth Prediction for Lagos Using GlobeLand30 Data and Cellular Automata Model
Authors: Onilude Olalekan O. , Vaz Eric
Published: October 2020

Urban growth in various cities across the world, especially in developing countries, leads to land use change. Thus, predicting future urban growth in the most rapidly growing region of Nigeria becomes a significant endeavor. This study analyzes land use and land cover (LULC) change and predicts the future urban growth of the Lagos metropolitan region, using Cellular Automata (CA) model. To achieve this, the GlobeLand30 datasets from years 2000 and 2010 were used to obtain LULC maps, which were utilized for modeling and prediction. Change analysis and prediction for LULC scenario for 2030 were performed using LCM and CA_Markov chain modeling. The results show a substantial growth of artificial surfaces, which will cause further reductions in cultivated land, grassland, shrubland, wetland, and waterbodies. There was no appreciable impact of change for bare land, as its initial extent of cover later disappeared completely. Additionally, artificial surfaces/urban growth in Lagos expanded to the neighboring towns and localities in Ogun State during the study period, and it is expected that such growth will be higher in 2030. Lastly, the study findings will be beneficial to urban planners and land use managers in making key decisions regarding urban growth and improved land use management in Nigeria.
The Relationship between Stretching Intensity and Changes in Passive Properties of Gastrocnemius Muscle-Tendon Unit after Static Stretching
Authors: Fukaya Taizan , Nakamura Masatoshi , Sato Shigeru , Kiyono Ryosuke , Yahata Kaoru , Inaba Kazuki , Nishishita Satoru , Onishi Hideaki
Published: October 2020

This study aimed to investigate the relationship between relative or absolute intensity and changes in range of motion and passive stiffness after static stretching. A total of 65 healthy young adults voluntarily participated in this study and performed static stretching of the plantar flexor-muscle for 120 s. Dorsiflexion range of motion and passive torque during passive dorsiflexion before and after stretching were assessed. We measured the passive torque at a given angle when the minimum angle was recorded before and after stretching. The angle during stretching was defined as the absolute intensity. Dorsiflexion range of motion before stretching was defined as 100%, and the ratio (%) of the angle during stretching was defined as the relative intensity. A significant correlation was found between absolute intensity and change in passive torque at a given angle (r = −0.342), but relative intensity and range of motion (r = 0.444) and passive torque at dorsiflexion range of motion (r = 0.259). A higher absolute intensity of stretching might be effective in changing the passive properties of the muscle-tendon unit. In contrast, a higher relative intensity might be effective in changing the range of motion, which could be contributed by stretch tolerance.
The Combat against COVID-19 in Portugal, Part II: How Governance Reinforces Some Organizational Values and Contributes to the Sustainability of Crisis Management
Authors: Correia Pedro Miguel Alves Ribeiro , Mendes Ireneu de Oliveira , Pereira Sandra Patrícia Marques , Subtil Inês
Published: October 2020

The new coronavirus caught governments all over the world completely unaware, which led to a set of different and sometimes not quite articulated responses, leading to some undesirable results. The present investigation is based on three objectives: to assess the conditions “before” and “during” the combat and the expected consequences “after” the outbreak, by having as reference the Portuguese case; to offer a framework of the input factors to crisis management in the pandemic context; and to contribute to the crisis management literature, in the public sector from a perspective of collaborative and multi-level governance. This research is inductive and follows a quantitative approach, with the proposal and testing of a crisis management COVID-19 structural model. The Portuguese case presented in this paper suggests a robust and valid crisis management model. This model may be well translated for other countries with cultural proximity to the Portuguese culture, for instance, Portuguese speaking countries such as Brazil, or geographical proximity to Portugal such as, for instance, Spain. The authors, nevertheless, advise readers to exert some restraint on the extrapolation of the results, as governance systems and traditions can vary a good deal from country to country. Future studies should focus on the importance of coordination as one of the most important areas in crisis management, narrowing the scope of analysis from the broad, macro understanding of the research problem presented on this paper.
Assessment of Sustainability and Priorities for Development of Indian West Coast Region: An Application of Sustainable Livelihood Security Indicators
Authors: Krishna Viswanatha Reddy , Paramesh Venkatesh , Arunachalam Vadivel , Das Bappa , Elansary Hosam O. , Parab Arjun , Reddy Dendi Damodar , Shashidhar K. S. , El-Ansary Diaa O. , Mahmoud Eman A. , El-Sheikh Mohamed A.
Published: October 2020

The measurement of sustainability in terms of social, economic, and ecological indicators significantly influences the achievement of sustainable development goals. This paper presents a sustainable livelihood security index (SLSI) by selecting 20 indicators and positions them within the ecological, economic, and social dimensions of sustainable development for the Indian west coast. These indicators were first normalized and, using estimated weights, indices were computed. Important indicators were shortlisted by a two-step process, namely, principal component analysis and linear and nonlinear weighted scores. The results revealed that indicators such as forest cover, net sown area, milk availability, groundwater availability, land productivity, food grain availability, rural road connectivity, villages electrified, and land degradation were found to be important indicators. Kerala was found as the most developed state followed by Gujarat, Karnataka, Maharashtra, and Goa in linear and non-linear weighted scoring. The study identifies the Jamnagar, Junagadh, Kachchh, Ratnagiri, and Sindhudurg districts as the districts with the highest priority for development through investment and policy interventions. The study concludes that the west coast region, in terms of its sustainable development levels, improved significantly with a focus on low-SLSI districts by considering ecological, economic, and social dimensions in planning for technological development and dissemination.
Injection Mold Production Sustainable Scheduling Using Deep Reinforcement Learning
Authors: Lee Seunghoon , Cho Yongju , Lee Young Hoon
Published: October 2020

In the injection mold industry, it is important for manufacturers to satisfy the delivery date for the products that customers order. The mold products are diverse, and each product has a different manufacturing process. Owing to the nature of mold, mold manufacturing is a complex and dynamic environment. To meet the delivery date of the customers, the scheduling of mold production is important and is required to be sustainable and intelligent even in the complicated system and dynamic situation. To address this, in this paper, deep reinforcement learning (RL) is proposed for injection mold production scheduling. Before presenting the RL algorithm, a mathematical model for the mold scheduling problem is presented, and a Markov decision process framework is proposed for RL. The deep Q-network, which is an algorithm for RL, is employed to find the scheduling policy to minimize the total weighted tardiness. The results of experiments demonstrate that the proposed deep RL method outperforms the dispatching rules that are presented for minimizing the total weighted tardiness.
Evaluation of Technology-Supported Distance Measuring to Ensure Safe Aircraft Boarding during COVID-19 Pandemic
Authors: Schwarzbach Paul , Engelbrecht Julia , Michler Albrecht , Schultz Michael , Michler Oliver
Published: October 2020

With the rise of COVID-19, the sustainability of air transport is a major challenge, as there is limited space in aircraft cabins, resulting in a higher risk of virus transmission. In order to detect possible chains of infection, technology-supported apps are used for social distancing. These COVID-19 applications are based on the display of the received signal strength for distance estimation, which is strongly influenced by the spreading environment due to the signal multipath reception. Therefore, we evaluate the applicability of technology-based social distancing methods in an aircraft cabin environment using a radio propagation simulation based on a three-dimensional aircraft model. We demonstrate the susceptibility to errors of the conventional COVID-19 distance estimation, which can lead to large errors in the determination of distances and to the impracticability of traditional tracing approaches during passenger boarding/deboarding. In the context of the future connected cabin, a robust distance measurement must be implemented to ensure safe travel. Finally, our results can be transferred to similar fields of application, e.g., trains or public transport.
Good Educational Practices for the Development of Inclusive Heritage Education at School through the Museum: A Multi-Case Study in Bologna
Authors: Gómez-Hurtado Inmaculada , Cuenca-López José María , Borghi Beatrice
Published: October 2020

This article presents the outcomes and conclusions of a research work designed to determine and describe good inclusive practices for the development of heritage education in schools through museums in the city of Bologna. To this end, we applied a qualitative methodology through the study of four cases, four museums in the city of Bologna, selected for their good practices in educational programmes for schools. Instruments such as interviews, observation, and documentary analysis were used. The results emphasise a close school-museum relationship, with heritage as an agent that enhances people’s identity, a fundamental element in the citizenship development of Bolognese society, and a key aspect for the development of inclusive principles and the care of all people, although improvements in the processes and some limitations in the development of the programmes are perceived. The outcomes highlight the importance of school and museum relations and the development of an inclusive heritage education that advocates a holistic, integrative, and complex approach to heritage, as an essential element in the development of the individual and of society.
Microplastics in Terrestrial Ecosystems: A Scientometric Analysis
Authors: He Donghui , Bristow Keith , Filipović Vilim , Lv Jialong , He Hailong
Published: October 2020

Microplastics, as an emerging contaminant, have been shown to threaten the sustainability of ecosystems, and there is also concern about human exposure, as microplastic particles tend to bioaccumulate and biomagnify through the food chain. While microplastics in marine environments have been extensively studied, research on microplastics in terrestrial ecosystems is just starting to gain momentum. In this paper, we used scientometric analysis to understand the current status of microplastic research in terrestrial systems. The global scientific literature on microplastics in terrestrial ecosystems, based on data from the Web of Science between 1986 and 2020, was explored with the VOSviewer scientometric software. Co-occurrence visualization maps and citation analysis were used to identify the relationship among keywords, authors, organizations, countries, and journals focusing on the issues of terrestrial microplastics. The results show that research on microplastics in terrestrial systems just started in the past few years but is increasing rapidly. Science of the Total Environment ranks first among the journals publishing papers on terrestrial microplastics. In addition, we also highlighted the desire to establish standards/protocols for extracting and quantifying microplastics in soils. Future studies are recommended to fill the knowledge gaps on the abundance, distribution, ecological and economic effects, and toxicity of microplastics.
Basil (Ocimum basilicum) Cultivation in Decoupled Aquaponics with Three Hydro-Components (Grow Pipes, Raft, Gravel) and African Catfish (Clarias gariepinus) Production in Northern Germany
Authors: Knaus Ulrich , Pribbernow Monique , Xu Lu , Appelbaum Samuel , Palm Harry W.
Published: October 2020

Basil (Ocimum basilicum) was cultivated in northern Germany in three different hydroponic components: grow pipes, a raft, and an ebb-and-flood gravel substrate. The nutrients originated from the intensive production of African catfish (Clarias gariepinus) with 140 fish/m3 under decoupled aquaponic conditions. After 41 days, plants were significantly taller in the gravel components (101.8 ± 8.3 cm), followed by the grow pipes (96.7 ± 7.0 cm), and the raft (94.8 ± 8.6 cm) components (gravel > grow pipes = raft). The leaf number was high and not significantly different between the grow pipes (518.0 ± 81.4), gravel (515.1 ± 133.0), and raft components (493.7 ± 124.8; grow pipes = raft = gravel). Basil in the grow-pipe subsystems developed rapid root growth and clogged the pipes with heterogeneous plant growth. Basil production in northern Germany in grow-pipe, raft, and gravel hydro-components is possible by using effluents from intensive C. gariepinus aquaculture without additional fertilizer in the plant grow-out phase. Further research should focus on optimizing grow pipes by maintaining an optimal root–water contact area, as well as on new technologies such as aquaponics (s.l.) gardening.
Faster Data Forwarding in Content-Centric Network via Overlaid Packet Authentication Architecture
Authors: Youn Taek-Young , Kim Joongheon , Mohaisen David , Seo Seog Chung
Published: October 2020

Content-Centric Networking (CCN) is one of the emerging paradigms for the future Internet, which shifts the communication paradigm from host-centric to data-centric. In CCN, contents are delivered by their unique names, and a public-key-based signature is built into data packets to verify the authenticity and integrity of the contents. To date, research has tried to accelerate the validation of the given data packets, but existing techniques were designed to improve the performance of content verification from the requester’s viewpoint. However, we need to efficiently verify the validity of data packets in each forwarding engine, since the transmission of invalid packets influences not only security but also performance, which can lead to a DDoS (Distributed Denial of Service) attack on CCN. For example, an adversary can inject a number of meaningless packets into CCN to consume the forwarding engines’ cache and network bandwidth. In this paper, a novel authentication architecture is introduced, which can support faster forwarding by accelerating the performance of data validation in forwarding engines. Since all forwarding engines verify data packets, our authentication architecture can eliminate invalid packets before they are injected into other CCN nodes. The architecture utilizes public-key based authentication algorithms to support public verifiability and non-repudiation, but a novel technique is proposed in this paper to reduce the overhead from using PKI for verifying public keys used by forwarding engines and end-users in the architecture. The main merit of this work is in improving the performance of data-forwarding in CCN regardless of the underlying public-key validation mechanism, such as PKI, by reducing the number of accesses to the mechanism. Differently from existing approaches that forgive some useful features of the Naive CCN for higher performance, the proposed technique is the only architecture which can support all useful features given by the Naive CCN.
The Social Dimensions of Corporate Sustainability: An Integrative Framework Including COVID-19 Insights
Authors: Ikram Muhammad , Zhang Qingyu , Sroufe Robert , Ferasso Marcos
Published: October 2020

Corporate sustainability is considered a fundamental paradigm and solution in creating a prosperous future for organizations. However, social sustainability issues and pandemic problems from COVID-19 have affected corporations and interrupted plans for sustainable development. To date, corporate sustainability frameworks have taken a relatively narrow view of this paradigm. This study highlights serious challenges to corporate sustainability while providing a framework in an attempt to enable more sustainable business practices. To fill the gap in the literature, we have developed a framework to organize and prioritize important sustainability indicators. The first phase of the study involves the classification of 45 sub-criteria of corporate sustainability under nine main categories by using a literature review and novel Fuzzy Delphi method. The resulting categories are Corporate Governance, Product Responsibility, Transparency and Communication, Economic, Environmental, Social, Natural Environment and Climate Vulnerability, Energy Consumption along with Energy Saving, and includes Pandemic COVID-19 as a new aspect of social sustainability. Next, we applied the Fuzzy Analytical Hierarchical Process (FAHP) to help determine the weights and prioritizing the criteria and sub-criteria. The results revealed that the Pandemic, along with the Natural Environment and Climate Vulnerability, ranked higher among the main criteria category. Whereas, emergency response planning, social distances, modification of working hours, and just-in-time delivery are the most influencing sub-attributes among the 45 sub-barriers of different categories. Contributions of this study include new insights regarding corporate sustainability criteria and subcriteria, application of novel methods, and integrated framework for dimensions of corporate sustainability. This study is among the first of its kind to consider the COVID-19 pandemic as an essential category and social sustainability attribute of corporate sustainable business practices. Outcomes of this study can help assist scholars, corporations, and decision-makers in understanding sustainable development initiatives while simultaneously improving social sustainability practices.
Prediction of Knowledge Management for Success of Franchise Hospitality in a Post-Pandemic Economy
Authors: Hsieh Hsiu-Chin , Nguyen Xuan-Huynh , Wang Tien-Chin , Lee Jen-Yao
Published: October 2020

Due to its unpredictability, the novel coronavirus (COVID-19) pandemic has changed the global business climate and commercial management practices in unprecedented ways. As a direct result of the pandemic, the hospitality and tourism sectors have shut down, and business failure rates have occurred exponentially. The franchise hospitality industry has experienced significant impact and challenged a basic understanding of knowledge management (KM) implementation in the face of the COVID-19 outbreak. A strategic KM implementation practice can not only guide a large-scale operation, but also adjust an organization’s performance and competitiveness. The purpose of this study is to examine the influential criteria of success through effective KM implementation and to predict the probability of successful KM in a post-pandemic era. The conceptual framework for KM applies an analytic hierarchical prediction model reliant upon consistent fuzzy preference relations to assist the franchise hospitality sector’s consciousness of the influential criteria. An empirical case study is used to apply pairwise comparisons used to determine the priority weights and two possible outcomes. The case study will assist franchise organizations to analyze whether or not to implement KM, interdict application, or adopt revised actions. This assistance will enhance the success possibility of KM implementation within such a crisis environment. This study uses a case setting by assessing 15 franchises hospitality experts’ opinions in Taiwan relevant to KM implementation.
Managing Uncertainty in AI-Enabled Decision Making and Achieving Sustainability
Authors: Wu Junyi , Shang Shari
Published: October 2020

Artificial intelligence (AI) has been applied to various decision-making tasks. However, scholars have yet to comprehend how computers can integrate decision making with uncertainty management. Obtaining such comprehension would enable scholars to deliver sustainable AI decision-making applications that adapt to the changing world. This research examines uncertainties in AI-enabled decision-making applications and some approaches for managing various types of uncertainty. By referring to studies on uncertainty in decision making, this research describes three dimensions of uncertainty, namely informational, environmental and intentional. To understand how to manage uncertainty in AI-enabled decision-making applications, the authors conduct a literature review using content analysis with practical approaches. According to the analysis results, a mechanism related to those practical approaches is proposed for managing diverse types of uncertainty in AI-enabled decision making.
Implementation and Challenges of the Passive House Concept in Portugal: Lessons Learnt from Successful Experience
Authors: Figueiredo António , Rebelo Filipe , Castanho Rui Alexandre , Oliveira Rui , Lousada Sérgio , Vicente Romeu , Ferreira Victor M.
Published: October 2020

The European Green Deal defined by the European Commission on December 2019 presents an ambitious set of measures for the European Union and its citizens to accomplish the challenge of climate change, making Europe until 2050 the first neutral continent, where there are no net emissions of greenhouse gases. The Passive House (PH) concept has the same ambitious goal, targeting the reduction of the carbon footprint while promoting a construction design that gives primacy to the optimum energy balance, assuring comfort and quality with a minimum impact on the final building cost and operation. However, the PH concept is still not an easy process to implement in the traditional construction sector, especially in South European territory, as is the case of Portugal. Contextually, the present study through the discussion of a case study research method applied to European PH successful experience, has defined guidelines for the implementation of this concept within sustainable development principles. The methodology strategy starts with the information collection from Hanover, Brussels, and Tyrol case studies. Then, a statement regarding the current situation of Portugal in respect of the PH numbers and policies was performed. Moreover, the information gathered, as well as the experience of learnt lessons, were compared to the Portuguese reality. As a final procedure, barriers and obstacles for the Portuguese case have been identified through the analysis and understanding of the country’s social dynamics, and also with the crossing of sustainable development principles. Thus, the present research enables us to propose guidelines to increase the PH implementation in Portugal.
Satisfied or Reimbursed: An Innovative Index-Based Mechanism for the Environmental Protection of a Tourist Region
Authors: Borghesi Simone
Published: October 2020

This article describes and discusses an innovative index-based environmental protection mechanism involving both tourists and local firms of a given region. The public administration offers tourists (non-polluting firms) the possibility of being reimbursed if the environmental quality in the region turns out to be below (above) a given threshold level. Since the two kinds of reimbursements (to visitors and firms) are linked to the same ecological indicator, they will tend to compensate each other, so that the mechanism could be implemented without incurring any cost for the public administration. The article identifies potential difficulties that may arise in its application and proposes corresponding solutions to address them.
Combined Rental and Transportation Affordability under China’s Public Rental Housing System—A Case Study of Nanjing
Authors: Wu Haijin , Zhai Guofang , Chen Wei
Published: October 2020

As a core element of China’s housing security system, public rental housing (PRH) has gradually become an effective means of providing low- and moderately low-income groups with viable housing options and is regarded as the embodiment of housing justice values under the Chinese socialist system. Affordability for the groups covered by this system is crucial to its sustainable positive role. By modifying the housing and transportation affordability index (H&TAI) equation proposed by the Center for Neighborhood Technology (CNT) and Center for Transit-Oriented Development (CTOD), United States, this paper establishes a novel rental and transportation affordability index (R&TAI), introduces transportation-time-cost and comprehensive-transportation-cost concepts and obtains transportation-time-cost data through accessibility analysis, which are incorporated into calculations of comprehensive transportation cost with the ArcGIS spatial analysis software. Based on the ratio of the combined cost of rental housing and transportation to household residual income (RI), this paper studies and measures the combined affordability for low- and moderately low-income residents under the PRH system. The burden of high combined rental and transportation costs not only greatly reduces residents’ ability to cope but also limits sustainable PRH system development, exacerbating the gaps between social strata. This study and its conclusions provide a reference for the Chinese government for reforming the macro-housing system and practically regulating the housing market while providing residents with options to reduce their comprehensive burden and improve their quality of life.
The Level of European Companies’ Integrated Reports Alignment to the  Framework: The Role of Boards’ Characteristics
Authors: Tiron-Tudor Adriana , Hurghis Rares , Lacurezeanu Ramona , Podoaba Lucia
Published: October 2020

In terms of corporate governance, the board of directors (BoDs) is the main responsible structure in meeting and safeguarding both shareholders and stakeholders’ interests. Integrated reporting’s primary aim is to improve information quality provided to shareholders while responding to stakeholders’ interests and needs. Using lenses of stakeholder theory, this study explores the relationship between board of directors’ characteristics as size, gender diversity, activity, tenure, outside directors, chief executive officer (CEO) duality and the Integrated Reports alignment level to the International Integrated Reporting Committee (IIRC) framework, using a self-constructed disclosure index. Applying a content analysis method, data were collected from integrated reports to determine the self-constructed disclosure index (Integrated Reporting Score—IRS). Through quantitative analysis, we analyzed which BoDs’ characteristics are correlated to IRS. The analyzed sample was formed of 98 integrated reports produced by 61 European companies, published on the IIRC website for the period 2013–2017. The current study contributes to existing knowledge by exploring the voluntary adoption of integrated reporting using quantitative analysis and focusing on the European context. The obtained results highlight that integrated report alignment levels with IIRF is directly correlated with the proportion of outside directors on the board and longer board tenure. Results show a higher alignment for reports produced by two-tier or mixed boards than the unitary ones. Additionally, there is a constant improvement in alignment score, with a statistical difference occurring in 2016 compared to 2013.
N-(n-Butyl) Thiophosphoric Triamide (NBPT)-Coated Urea (NCU) Improved Maize Growth and Nitrogen Use Efficiency (NUE) in Highly Weathered Tropical Soil
Authors: Mohd Zuki Muhammad Muhaymin , Md. Jaafar Noraini , Sakimin Siti Zaharah , Yusop Mohd Khanif
Published: October 2020

Nitrogen (N) fertilizer is commonly used to supply sufficient N for plant uptake, for which urea is one of the highly preferred synthetic N fertilizers due to its high N content. Unfortunately, N provided by urea is rapidly lost upon urea application to soils through ammonia volatilization, leaching, and denitrification. Thus, treatment of urea with urease inhibitor (N-(n-Butyl) Thiophosphoric Triamide (NBPT)) is among the solutions to slow down urea hydrolysis, therefore reducing loss of NH3 and saving N available for plant uptake and growth. A field study was carried out to evaluate the effects of NBPT-coated urea (NCU) at varying rates on growth, yield, and nitrogen use efficiency (NUE) of maize in tropical soil. The experiment was conducted at Field 15, Universiti Putra Malaysia, Serdang, Selangor, Malaysia, and maize (Zea mays var. Thai Super Sweet) was used as the test crop. The results showed that all maize grown in soils applied with urea coated with NBPT (NCU) (T2, T3, T4, and T5) had significantly (P ≤ 0.05) higher chlorophyll content compared to the control (T0 and T1). The surface leaf area of maize grown in NCU-treated soils at 120 kg N h−1 (T3) was recorded as the highest. NCU at and 96 kg N ha−1 (T3 and T4) were relatively effective in increasing maize plant dry weight, yield, and N uptake. Improvement of NUE by 45% over urea was recorded in the treatment of NCU at 96 kg N ha−1. NBPT-coated urea (NCU) at 96 kg N ha−1 had potential to increase the growth, yield, nitrogen uptake, and NUE of maize by increasing the availability of N for plant growth and development.
Evaluation of Determinants of Food Waste in Family Households in the Greater Porto Area Based on Self-Reported Consumption Practices
Authors: Portugal Taíse , Freitas Susana , Cunha Luís Miguel , Rocha Ada Margarida Correia Nunes
Published: October 2020

Despite food waste occurring along the entire food supply chain, a significant proportion occurs in domestic settings. Large quantities of domestic food waste have been attributable to consumer behaviors during buying, cooking, consumption, and disposal. The main objective of this research was to understand the major determinants of household food waste from families in the north of Portugal. A convenience sample was used, which was drawn from households in the Greater Porto Area. Data were collected through a self-reported questionnaire that included three groups of structured questions related to perceived behavior and attitudes towards food consumption, leftover usage, and food waste. Exploratory data analysis was used to identify underlying dimensions. No relationships were found between socio-demographic data and food waste, buying behavior, or destination/use of leftovers. The majority of the participants reported a high level of planning of their grocery shopping. Fruits and vegetables presented the highest frequency of consumption, followed by sources of carbohydrates and sources of proteins. The storage of cooked food from different food groups presented a single factor, grouping the majority of the individual food leftovers, going from fruits and vegetables to sources of carbohydrates and proteins. The reported levels of wastage of the different food products were grouped into three dimensions: waste of vegetables, waste of protein sources, and waste of sources of carbohydrates. Waste of precooked foods emerged as an independent item, and it was the individual item with the highest frequency. The families studied reported a positive attitude concerning buying, consumption, and wastage, revealing a particular awareness of food waste and its social and environmental impact.
How to Cope with Perceived Tension towards Sustainable Consumption? Exploring Pro-Environmental Behavior Experts’ Coping Strategies
Authors: Torma Gabriele
Published: October 2020

Pro-environmental behavior experts (PEBEXs) encounter tensions associated with sustainable consumption, just like other individuals. What distinguishes them is their high level of knowledge, motivation, and reflection on climate change topics, as intended by many downstream policy interventions targeting individual consumption behavior. Based on 31 problem-centered interviews with PEBEXs, we found two general coping strategies: contributing to maximizing sustainable consumption and accommodating to the minimization of perceived tension. These coping strategies offer a promising source of information for individuals in general on how to drive personal consumption behavior in more sustainable directions and how to deal with accompanying barriers and tensions. Because coping strategies can be trained, the introduced strategies can support the design of interventions targeting individual consumption decisions. Furthermore, we emphasize the importance of accompanying upstream interventions, such as structural changes, to support individual behavior changes.
A Study on the Application of Kiosk Service as the Workplace Flexibility: The Determinants of Expanded Technology Adoption and Trust of Quick Service Restaurant Customers
Authors: Seo Kyung Hwa
Published: October 2020

This study presents fundamental data on the technology acceptance of kiosks in QSR (Quick Service Restaurants) and the marketing plans for efficient management performance. In this paper, the combined concept model was established through the acceptance literature, and an expanded UTAUT2 (Unified Theory of Acceptance and Use of Technology) model was then presented by empirical analysis. This study was evaluated by 303 customers with experience using QSR kiosks. The results show that the seven factors suggested by the UTAUT2 and trust have a positive direct and indirect effect on behavioral intention. In addition, this study confirmed the significant influence relationship between the variables in UTAUT2. It was also found that facilitating conditions and price value have a significant positive effect on trust. Lastly, trust has a significant positive effect on performance expectancy and behavioral intentions. As a result, this research demonstrates an extended and integrated UTAUT2 by verifying the relationship between basic UTAUT2 and trust. The limitations of this study and recommendations for future research are also discussed.
Circular Economy Business Models with a Focus on Servitization
Authors: Han Junghee , Heshmati Almas , Rashidghalam Masoomeh
Published: October 2020

During the fourth industrial revolution, based on information and communication technology (ICT), service-led growth has been an increasingly important development area. This paper focuses on service-led growth as an innovative business model in the circular economy and offers the ‘product as service model’. A business model needs to be flexibly adjustable for changes in the market in response to changes in technology, the economy, and the environment. For firms facing increasing scarcity of resources, the right business model for using resources is becoming crucial for their growth. In a circular economy, a new method of business modelling is essential. This paper introduces the ‘product as a service model’ using a conceptualized and case study methodology. We illustrate this innovative circular business model through product servitization at the Hyundai Automotive Enterprise in Korea. This business model can be effective because of emerging new ‘smart connected products’ such as the ‘internet of things’ and ‘fifth generation’ network technologies. Cost, convenience, and the circular economy for firms, consumers, and the environment are critical factors in this new business model.
Does Online Social Connectivity Promote Physical Activity in a Wearable Tracker-Based Intervention? A Pilot Randomized Controlled Study
Authors: Seo Myong-Won , Kim Youngdeok , Jung Hyun Chul , Kim Jung-Hyun , Lee Jung-Min
Published: October 2020

Wearable activity trackers have gained popularity among individuals who want to track their physical activity (PA). The features of wearable tracking technology that are known to facilitate positive behavior changes such as self-monitoring and social connectedness) are well documented; yet, the existing evidence is not conclusive in the literature requiring further investigation. This study was an 8-week pilot randomized controlled study examining the effectiveness of PA intervention incorporating a wearable activity tracker’s online connectivity feature. Forty participants were equally randomized into either an individual-based (n = 20) or a connected group (n = 20). A Jawbone UP24 tracker was provided to all participants in both groups as a means of self-monitoring PA for eight weeks, but the connected group was additionally instructed to share their PA levels with the others using the accompanying smartphone application. Participants’ weekly step counts were evaluated each week to examine the change in PA. Participants’ biometric variables such as body weight, body mass index, waist circumference, blood pressure, and psychological status, including self-efficacy (SE) and exercise motivation (EM), were measured from both groups before and after the intervention period. Additionally, the social support questionnaire (SSQ) was measured among the connected group. The statistical significance level was set at <0.05. The average step counts for eight weeks were significantly increased only in the connected group (p < 0.001). Significant differences in step count improved from the baseline to week 8 in the connected user group (p < 0.01), but only baseline vs. week 7 in the individual users. Also, no significant interaction effects for biometric variables, EM, and SE were founded. However, SSQ was significantly improved in the connected user group (p < 0.001). PA intervention combining a wearable activity tracker and online social connectivity feature shows a greater effectiveness of promoting PA than a wearable tracker alone
Medical Tourism Markets: Models of Sustainability. The Case of Spain and The Costa del Sol (Malaga)
Authors: Pagan Ricardo , Horsfall Daniel
Published: October 2020

The interest and relevance of medical tourism has increased significantly over the last few decades, and it has become a very lucrative source of income and profit for many firms. This paper analyses the sustainability of the medical tourism model in Spain in general, and in The Costa del Sol (Spain) in particular, in order to investigate the potential challenges that the domestic industry will face in the future. For this purpose, we first analysed the process of the globalization of health services and the main characteristics of the Spanish medical tourism industry (in terms of tourism and health services). Second, we examined the data availability on medical tourism for the cases of Spain, Andalusia and The Costa del Sol, and identified who travels, why, and for what reasons. The results show that Spain and The Costa del Sol offer high-quality medical and tourism facilities and services with very competitive prices, and with the high commitment and support of public local authorities, tourism and health providers, and universities. However, the lack of a real leadership, well-defined strategy, financial support, and specific training programs are considered to be crucial challenges for the near future. In addition to this, the novel coronavirus, the economic crisis, Brexit and the situation of British expats living in Spain and The Costa del sol are also discussed.
Toward Sustainable Ferry Routes in Korea: Analysis of Operational Efficiency Considering Passenger Mobility Burdens
Authors: Pham Thi Quynh Mai , Lee Gunwoo , Kim Hwayoung
Published: October 2020

With its long coastline, and numerous inlets and offshore islands, coastal ferry industries play a vital role in Korean maritime transportation. This study focuses on the southwestern part of Korea, Mokpo (which has the most inhabited islands and the highest proportion of elderly island residents), and aims to evaluate the impact of passengers’ mobility burdens on the efficiency of ferry routes to achieve a better service for passengers. Integrated principal component analysis–data envelopment analysis and a fuzzy C-means clustering method were applied to analyze the efficiency of ferry routes in the Mokpo area. The efficiency results indicate that longer routes do not always achieve high-efficiency scores. The proportion of general passengers appears to influence the efficiency improvements of both general and subsidiary ferry routes. These findings can assist in better comprehending the relationship between passengers’ mobility burdens and ferry route efficiencies; this will enable the authorities and ferry management departments to develop appropriate policies and strategies and to reconstruct certain features of the inefficient routes, thereby increasing operational efficiency, reducing mobility burdens, and improving the convenience of ferry travel and sustainability of Korean passenger routes.