bluuebunny/crossref_metadata_2025 huggingface dataset:
Volatility Modeling and Dependence Structure of ESG and Conventional Investments
Authors: Górka Joanna , Kuziak Katarzyna
Published: January 2022

The question of whether environmental, social, and governance investments outperform or underperform other conventional financial investments has been debated in the literature. In this study, we compare the volatility of rates of return of selected ESG indices and conventional ones and investigate dependence between them. Analysis of tail dependence is important to evaluate the diversification benefits between conventional investments and ESG investments, which is necessary in constructing optimal portfolios. It allows investors to diversify the risk of the portfolio and positively impact the environment by investing in environmentally friendly companies. Examples of institutions that are paying attention to ESG issues are banks, which are increasingly including products that support sustainability goals in their offers. This analysis could be also important for policymakers. The European Banking Authority (EBA) has admitted that ESG factors can contribute to risk. Therefore, it is important to model and quantify it. The conditional volatility models from the GARCH family and tail-dependence coefficients from the copula-based approach are applied. The analysis period covered 2007 until 2019. The period of the COVID-19 pandemic has not been analyzed due to the relatively short time series regarding data requirements from models’ perspective. Results of the research confirm the higher dependence of extreme values in the crisis period (e.g., tail-dependence values in 2009–2014 range from 0.4820/0.4933 to 0.7039/0.6083, and from 0.5002/0.5369 to 0.7296/0.6623), and low dependence of extreme values in stabilization periods (e.g., tail-dependence values in 2017–2019 range from 0.1650 until 0.6283/0.4832, and from 0.1357 until 0.6586/0.5002). Diversification benefits vary in time, and there is a need to separately analyze crisis and stabilization periods.
Remote Sensing for Biocultural Heritage Preservation in an African Semi-Arid Region: A Case Study of Indigenous Wells in Northern Kenya and Southern Ethiopia
Authors: Ochungo Pamela , Khalaf Nadia , Merlo Stefania , Beldados Alemseged , M’Mbogori Freda Nkirote , Tiki Waktole , Lane Paul J.
Published: January 2022

The region of Southern Ethiopia (Borana) and Northern Kenya (Marsabit) is characterised by erratic rainfall, limited surface water, aridity, and frequent droughts. An important adaptive response to these conditions, of uncertain antiquity, has been the hand-excavation of a sequence of deep wells at key locations often along seasonal riverbeds and valley bottoms where subterranean aquifers can be tapped. Sophisticated indigenous water management systems have developed to ensure equitable access to these critical water resources, and these are part of well-defined customary institutional leadership structures that govern the community giving rise to a distinctive form of biocultural heritage. These systems, and the wells themselves, are increasingly under threat, however, from climate change, demographic growth, and socio-economic development. To contribute to an assessment of the scale, distribution and intensity of these threats, this study aimed to evaluate the land-use land-cover (LULC) and precipitation changes in this semi-arid to arid landscape and their association with, and impact on, the preservation of traditional wells. Multitemporal Landsat 5, 7 and 8 satellite imagery covering the period 1990 to 2020, analysed at a temporal resolution of 10 years, was classified using supervised classification via the Random Forest machine learning method to extract the following classes: bare land, grassland, shrub land, open forest, closed forest, croplands, settlement and waterbodies. Change detection was then applied to identify and quantify changes through time and landscape degradation indices were generated using the Shannon Diversity Index fragmentation index within a 15 km buffer of each well cluster. The results indicated that land cover change was mostly driven by increasing anthropogenic changes with resultant reduction in natural land cover classes. Furthermore, increased fragmentation has occurred within most of the selected buffer distances of the well clusters. The main drivers of change that have directly or indirectly impacted land degradation and the preservation of indigenous water management systems were identified through an analysis of land cover changes in the last 30 years, supporting insights from previous focused group discussions with communities in Kenya and Ethiopia. Our approach showed that remote sensing methods can be used for the spatially explicit mapping of landscape structure around the wells, and ultimately towards assessment of the preservation status of the indigenous wells.
Navigation in GEO, HEO, and Lunar Trajectory Using Multi-GNSS Sidelobe Signals
Authors: Guan Meiqian , Xu Tianhe , Li Min , Gao Fan , Mu Dapeng
Published: January 2022

Positioning of spacecraft (e.g., geostationary orbit (GEO), high elliptical orbit (HEO), and lunar trajectory) is crucial for mission completion. Instead of using ground control systems, global navigation satellite system (GNSS) can be an effective approach to provide positioning, navigation and timing service for spacecraft. In 2020, China finished the construction of the third generation of BeiDou navigation satellite system (BDS-3); this global coverage system will contribute better sidelobe signal visibility for spacecraft. Meanwhile, with more than 100 GNSS satellites, multi-GNSS navigation performance on the spacecraft is worth studying. In this paper, instead of using signal-in-space ranging errors, we simulate pseudorange observations with measurement noises varying with received signal powers. Navigation performances of BDS-3 and its combinations with other systems were conducted. Results showed that, owing to GEO and inclined geosynchronous orbit (IGSO) satellites, all three types (GEO, HEO, and lunar trajectory) of spacecraft received more signals from BDS-3 than from other navigation systems. Single point positioning (SPP) accuracy of the GEO and HEO spacecraft was 17.7 and 23.1 m, respectively, with BDS-3 data alone. Including the other three systems, i.e., GPS, Galileo, and GLONASS, improved the SPP accuracy by 36.2% and 19.9% for GEO and HEO, respectively. Navigation performance of the lunar probe was significantly improved when receiver sensitivity increased from 20 dB-Hz to 15 dB-Hz. Only dual- (BDS-3/GPS) or multi-GNSS (BDS-3, GPS, Galileo, GLONASS) could provide continuous navigation solutions with a receiver threshold of 15 dB-Hz.
Common Latent Space Exploration for Calibration Transfer across Hyperspectral Imaging-Based Phenotyping Systems
Authors: Rehman Tanzeel U. , Zhang Libo , Ma Dongdong , Jin Jian
Published: January 2022

Hyperspectral imaging has increasingly been used in high-throughput plant phenotyping systems. Rapid advancement in the field of phenotyping has resulted in a wide array of hyperspectral imaging systems. However, sharing the plant feature prediction models between different phenotyping facilities becomes challenging due to the differences in imaging environments and imaging sensors. Calibration transfer between imaging facilities is crucially important to cope with such changes. Spectral space adjustment methods including direct standardization (DS), its variants (PDS, DPDS) and spectral scale transformation (SST) require the standard samples to be imaged in different facilities. However, in real-world scenarios, imaging the standard samples is practically unattractive. Therefore, in this study, we presented three methods (TCA, c-PCA, and di-PLSR) to transfer the calibration models without requiring the standard samples. In order to compare the performance of proposed approaches, maize plants were imaged in two greenhouse-based HTPP systems using two pushbroom-style hyperspectral cameras covering the visible near-infrared range. We tested the proposed methods to transfer nitrogen content (N) and relative water content (RWC) calibration models. The results showed that prediction R2 increased by up to 14.50% and 42.20%, while the reduction in RMSEv was up to 74.49% and 76.72% for RWC and N, respectively. The di-PLSR achieved the best results for almost all the datasets included in this study, with TCA being second. The performance of c-PCA was not at par with the di-PLSR and TCA. Our results showed that the di-PLSR helped to recover the performance of RWC, and N models plummeted due to the differences originating from new imaging systems (sensor type, spectrograph, lens system, spatial resolution, spectral resolution, field of view, bit-depth, frame rate, and exposure time) or lighting conditions. The proposed approaches can alleviate the requirement of developing a new calibration model for a new phenotyping facility or to resort to the spectral space adjustment using the standard samples.
Sym3DNet: Symmetric 3D Prior Network for Single-View 3D Reconstruction
Authors: Siddique Ashraf , Lee Seungkyu
Published: January 2022

The three-dimensional (3D) symmetry shape plays a critical role in the reconstruction and recognition of 3D objects under occlusion or partial viewpoint observation. Symmetry structure prior is particularly useful in recovering missing or unseen parts of an object. In this work, we propose Sym3DNet for single-view 3D reconstruction, which employs a three-dimensional reflection symmetry structure prior of an object. More specifically, Sym3DNet includes 2D-to-3D encoder-decoder networks followed by a symmetry fusion step and multi-level perceptual loss. The symmetry fusion step builds flipped and overlapped 3D shapes that are fed to a 3D shape encoder to calculate the multi-level perceptual loss. Perceptual loss calculated in different feature spaces counts on not only voxel-wise shape symmetry but also on the overall global symmetry shape of an object. Experimental evaluations are conducted on both large-scale synthetic 3D data (ShapeNet) and real-world 3D data (Pix3D). The proposed method outperforms state-of-the-art approaches in terms of efficiency and accuracy on both synthetic and real-world datasets. To demonstrate the generalization ability of our approach, we conduct an experiment with unseen category samples of ShapeNet, exhibiting promising reconstruction results as well.
Optimization Design of Surface Wave Electromagnetic Acoustic Transducers Based on Simulation Analysis and Orthogonal Test Method
Authors: Lan Ju , Zhang Jingjun , Jia Xiaojuan , Gao Ruizhen
Published: January 2022

The energy conversion of electromagnetic acoustic transducers (EMATs) is typically lower, which seriously restricts the application of EMATs in the field of non-destructive testing and evaluation. In this work, parameters of surface wave EMATs, including structural parameters and electrical parameters, are investigated using the orthogonal test method to improve the transducer’s energy conversion efficiency. Based on the established finite element 2-D model of EMATs, the amplitude of the displacement components at the observation point of a plate is the optimization objective to be maximized with five parameters pertaining to the magnets, meander-line coils, and excitation signal as design variables. Results show that the signal amplitude of EMATs is 3.48 times on in-plane and 3.49 times on out-of-plane, respectively, compared with the original model. Furthermore, a new material (amorphous nanocrystalline material of type 1K107) is applied to optimize the magnetic circuit of EMATs and enhance the eddy current in an aluminum plate to increase the signal amplitude. Finally, the signal amplitudes obtained from the three types of models, that is, the original one, the optimization one after an orthogonal test, and the optimization one with the addition of magnetic concentrators, are analyzed and compared, indicating that the signal amplitude, compared with the original one, is 6.02 times on in-plane and 6.20 times on out-of-plane, respectively.
Deep Learning Based Homomorphic Secure Search-Able Encryption for Keyword Search in Blockchain Healthcare System: A Novel Approach to Cryptography
Authors: Ali Aitizaz , Pasha Muhammad Fermi , Ali Jehad , Fang Ong Huey , Masud Mehedi , Jurcut Anca Delia , Alzain Mohammed A.
Published: January 2022

Due to the value and importance of patient health records (PHR), security is the most critical feature of encryption over the Internet. Users that perform keyword searches to gain access to the PHR stored in the database are more susceptible to security risks. Although a blockchain-based healthcare system can guarantee security, present schemes have several flaws. Existing techniques have concentrated exclusively on data storage and have utilized blockchain as a storage database. In this research, we developed a unique deep-learning-based secure search-able blockchain as a distributed database using homomorphic encryption to enable users to securely access data via search. Our suggested study will increasingly include secure key revocation and update policies. An IoT dataset was used in this research to evaluate our suggested access control strategies and compare them to benchmark models. The proposed algorithms are implemented using smart contracts in the hyperledger tool. The suggested strategy is evaluated in comparison to existing ones. Our suggested approach significantly improves security, anonymity, and monitoring of user behavior, resulting in a more efficient blockchain-based IoT system as compared to benchmark models.
Eye-Tracker Study of Influence of Affective Disruptive Content on User’s Visual Attention and Emotional State
Authors: Lewandowska Anna , Rejer Izabela , Bortko Kamil , Jankowski Jarosław
Published: January 2022

When reading interesting content or searching for information on a website, the appearance of a pop-up advertisement in the middle of the screen is perceived as irritating by a recipient. Interrupted cognitive processes are considered unwanted by the user but desired by advertising providers. Diverting visual attention away from the main content is intended to focus the user on the appeared disruptive content. Is the attempt to reach the user by any means justified? In this study, we examined the impact of pop-up emotional content on user reactions. For this purpose, a cognitive experiment was designed where a text-reading task was interrupted by two types of affective pictures: positive and negative ones. To measure the changes in user reactions, an eye-tracker (for analysis of eye movements and changes in gaze points) and an iMotion Platform (for analysis of face muscles’ movements) were used. The results confirm the impact of the type of emotional content on users’ reactions during cognitive process interruptions and indicate that the negative impact of cognitive process interruptions on the user can be reduced. The negative content evoked lower cognitive load, narrower visual attention, and lower irritation compared to positive content. These results offer insight on how to provide more efficient Internet advertising.
Simulation Experiment and Analysis of GNSS/INS/LEO/5G Integrated Navigation Based on Federated Filtering Algorithm
Authors: Wang Yuqiang , Zhao Bohao , Zhang Wei , Li Keman
Published: January 2022

This article examines the positioning effect of integrated navigation after adding an LEO constellation signal source and a 5G ranging signal source in the context of China’s new infrastructure construction. The tightly coupled Kalman federal filters are used as the algorithm framework. Each signal source required for integrated navigation is simulated in this article. At the same time, by limiting the range of the azimuth angle and visible height angle, different experimental scenes are simulated to verify the contribution of the new signal source to the traditional satellite navigation, and the positioning results are analyzed. Finally, the article compares the distribution of different federal filtering information factors and reveals the method of assigning information factors when combining navigation with sensors with different precision. The experimental results show that the addition of LEO constellation and 5G ranging signals improves the positioning accuracy of the original INS/GNSS by an order of magnitude and ensures a high degree of positioning continuity. Moreover, the experiment shows that the federated filtering algorithm can adapt to the combined navigation mode in different scenarios by combining different precision sensors for navigation positioning.
Preventing MQTT Vulnerabilities Using IoT-Enabled Intrusion Detection System
Authors: Husnain Muhammad , Hayat Khizar , Cambiaso Enrico , Fayyaz Ubaid U. , Mongelli Maurizio , Akram Habiba , Ghazanfar Abbas Syed , Shah Ghalib A.
Published: January 2022

The advancement in the domain of IoT accelerated the development of new communication technologies such as the Message Queuing Telemetry Transport (MQTT) protocol. Although MQTT servers/brokers are considered the main component of all MQTT-based IoT applications, their openness makes them vulnerable to potential cyber-attacks such as DoS, DDoS, or buffer overflow. As a result of this, an efficient intrusion detection system for MQTT-based applications is still a missing piece of the IoT security context. Unfortunately, existing IDSs do not provide IoT communication protocol support such as MQTT or CoAP to validate crafted or malformed packets for protecting the protocol implementation vulnerabilities of IoT devices. In this paper, we have designed and developed an MQTT parsing engine that can be integrated with network-based IDS as an initial layer for extensive checking against IoT protocol vulnerabilities and improper usage through a rigorous validation of packet fields during the packet-parsing stage. In addition, we evaluate the performance of the proposed solution across different reported vulnerabilities. The experimental results demonstrate the effectiveness of the proposed solution for detecting and preventing the exploitation of vulnerabilities on IoT protocols.
Dyadic Satisfaction and Shared Affectivity Are Associated with Psycho-Sexual Functioning in Elderly Men and Women
Authors: Limoncin Erika , Mollaioli Daniele , Sansone Andrea , Colonnello Elena , Ciocca Giacomo , Balercia Giancarlo , Bắc Nguyễn Hoài , Cao Thắng Nguyễn , Jannini Emmanuele Angelo
Published: January 2022

Objectives The quality of sexual life of elderly people represents an understudied topic of sexual medicine and of psycho-sexology. Hence, we aimed to evaluate the association of specific psycho-relational variables, such as intimacy, increased affective gestures towards a partner (AGtP), daily shared activities, and dyadic satisfaction, with the psychosexual wellbeing of elderly people, expressed in terms of sexual satisfaction. Methods: A cohort of elderly people was selected from a sample of a broader study evaluating the role of sexual activity in protecting the emotional wellbeing of a population subjected to quarantine due to the COVID-19 pandemic. Specifically, the presence of sexual dysfunctions, the emotional wellbeing (i.e., absence of anxiety and/or depression), and the quality of the partners’ relationships were studied. For the study’s purpose, the Sexual Health Inventory for Males (SHIM), the Female Sexual Function Index (FSFI), the Orgasmometer and the Orgasmometer-F, the Generalized Anxiety Disorder scale (GAD-7), the Patient Health Questionnaire (PHQ-9), and the Dyadic Adjustment Scale were adopted. Results: A group of 124 elderly subjects (≥60) was selected for the study’s purposes. Among these, 84% were males (120/124), and 16% were females (20/124). All the subjects declared to be in a stable relationship and to be sexually active during the first lockdown period. Gender differences were found for the Dyadic Satisfaction subscale (males: 37.04 ± 6.57; females: 32.85 ± 10.04; p < 0.05) and the Orgasmometer (males: 7.64 ± 1.30; females: 6.60 ± 2.46; p < 0.01). Linear regression analysis showed the association between higher Orgasmometer scores and: (i) the absence of sexual dysfunctions (β = −1.213; SE = 0.271; p < 0.0001), (ii) higher dyadic satisfaction (β = 0.042; SE = 0.019; p < 0.05), and (iii) reduced shared activities with partner (β = −0.463; SE = 0.143; p < 0.01) and increased affective gestures towards partner (DAS measured AGtP) (β = 0.595; SE = 0.065; p < 0.0001). Post hoc analysis of ANCOVA with the Bonferroni correction method showed a significant difference in the Orgasmometer scores between subjects with and without sexual dysfunction (mean difference: 2.102; SE = 0.340; pBonf < 0.001), with healthy subjects reporting higher scores compared to dysfunctional ones. Conclusions: It is reasonable to suppose that, beyond the presence of sexual dysfunctions, the sexual health of elderly people may benefit from the quality of the relationship, and, specifically, from the presence of affective gestures towards the partner and the dyadic satisfaction. To the contrary, the quantity of time spent together, sharing specific activities, may be considered a factor worsening relational and sexual health. These data should be considered during the evaluation of sexual health among elderly people.
Does Social Insurance Block the Inter-Generational Transmission of Poverty? Evidence from the 2018 China Family Panel Survey
Authors: Dai Xianhua , Gu Nian
Published: January 2022

In this research, we explored whether participation in pension insurance and medical insurance for children and fathers blocks the inter-generational transmission of poverty. Using data from the China Family Panel Survey of 2018, this paper took the average level of insurance participation of a sample group as an instrumental variable, applied the IV-probit model, and found that the participation of children in pension insurance and the participation of fathers in medical insurance significantly reduce the probability of the inter-generational transmission of poverty, but that the participation of children in medical insurance and the participation of fathers in pension insurance increase it. These results were robust. Furthermore, there was heterogeneity in household registration, geographical location, and marriage with regard to the impact of social insurance participation on the inter-generational transmission of poverty. These results could help the formulation of anti-poverty policies to address the inter-generational transmission of poverty.
The methodology of the Logical Framework with a Risk Management Approach to Improve the Sustainability in the International Development Projects
Authors: Rodríguez-Rivero Rocío , Ortiz-Marcos Isabel
Published: January 2022

When working with international development projects (IDPs), the use of the logical framework approach (LFA) prevails as the most important tool to plan and manage these projects. This paper presents how the methodology has been enriched, including risk management (LFRMA logical framework with risk management approach), proposing an original contribution, tested with professionals that will improve the effectiveness of IDPs by increasing their success rate and their sustainability. The steps followed to design the methodology (problem statement (literature review, interview with experts, questionnaire for professionals. and statistical analysis), case study analysis (eight case studies in Colombia, interviews with IDPs managers, focus groups, questionnaire for participants, qualitative analysis, and fuzzy analysis) and design of LFRMA (focus group with experts)) and the methodology itself (how to introduce risk management during all the life cycle through the methodology steps) are presented. Conclusions answer the research questions: can the effectiveness and sustainability of IDPs be improved? Can risk management help to improve IDPs effectiveness? Would it be useful to introduce risk management into the LFA? The LFRMA methodology consists of two fields of application, the first at the organization level and the second at the project level.
The Impact of Climate Variability and Change on Food Security in Sub-Saharan Africa: Perspective from Panel Data Analysis
Authors: Affoh Raïfatou , Zheng Haixia , Dangui Kokou , Dissani Badoubatoba Mathieu
Published: January 2022

This study investigates the relationship between climate variables such as rainfall amount, temperature, and carbon dioxide (CO2) emission and the triple dimension of food security (availability, accessibility, and utilization) in a panel of 25 sub-Saharan African countries from 1985 to 2018. After testing for cross-sectional dependence, unit root and cointegration, the study estimated the pool mean group (PMG) panel autoregressive distributed lag (ARDL). The empirical outcome revealed that rainfall had a significantly positive effect on food availability, accessibility, and utilization in the long run. In contrast, temperature was harmful to food availability and accessibility and had no impact on food utilization. Lastly, CO2 emission positively impacted food availability and accessibility but did not affect food utilization. The study took a step further by integrating some additional variables and performed the panel fully modified ordinary least squares (FMOLS) and dynamic ordinary least squares (DOLS) regression to ensure the robustness of the preceding PMG results. The control variables yielded meaningful results in most cases, so did the FMOLS and DOLS regression. The Granger causality test was conducted to determine the causal link, if any, among the variables. There was evidence of a short-run causal relationship between food availability and CO2 emission. Food accessibility exhibited a causal association with temperature, whereas food utilization was strongly connected with temperature. CO2 emission was linked to rainfall. Lastly, a bidirectional causal link was found between rainfall and temperature. Recommendations to the national, sub-regional, and regional policymakers are addressed and discussed.
Challenges of Uncertainty in Sustainable Strategy Development: Reconsidering the Key Performance Indicators
Authors: Medne Aija , Lapiņa Inga , Zeps Artūrs
Published: January 2022

The planning and development of the university strategy is closely linked to the university’s current performance, key priorities, and capabilities. A systematic literature review of factors that influence decision-making for strategy development has been applied in this research. To determine the external factors that influence strategic decision-making for universities nowadays there has been chosen a structure from the PESTLE analysis. The systematic literature review was limited to only higher education factor analysis. Based on the literature review, the authors have developed an approach for strategic direction evaluation and ongoing key performance indicator analysis. The approach is based on the Importance-Performance Matrix–IPA and developed further to include a comprehensive analysis of the strategic directions, organizational sources, and capabilities. An assessment of the university’s main strategic priorities with influencing factor analysis can be done using the developed approach adapted by the authors. It integrates the principles of resource-based strategy, key stakeholder engagement and creating shared value in the strategy development process. The adapted method was used in the 3rd generation university strategy development. The research contributes to the literature on a systematic approach development in the strategy evaluation process. This article puts emphasis on the resource-based view and key stakeholder involvement in the evaluation process.
An Intelligent Visualisation Tool to Analyse the Sustainability of Road Transportation
Authors: Alonso de Armiño Carlos , Urda Daniel , Alcalde Roberto , García Santiago , Herrero Álvaro
Published: January 2022

Road transport is an integral part of economic activity and is therefore essential for its development. On the downside, it accounts for 30% of the world’s GHG emissions, almost a third of which correspond to the transport of freight in heavy goods vehicles by road. Additionally, means of transport are still evolving technically and are subject to ever more demanding regulations, which aim to reduce their emissions. In order to analyse the sustainability of this activity, this study proposes the application of novel Artificial Intelligence techniques (more specifically, Machine Learning). In this research, the use of Hybrid Unsupervised Exploratory Plots is broadened with new Exploratory Projection Pursuit techniques. These, together with clustering techniques, form an intelligent visualisation tool that allows knowledge to be obtained from a previously unknown dataset. The proposal is tested with a large dataset from the official survey for road transport in Spain, which was conducted over a period of 7 years. The results obtained are interesting and provide encouraging evidence for the use of this tool as a means of intelligent analysis on the subject of developments in the sustainability of road transportation.
Introducing the SWOT Scorecard Technique to Analyse Diversified AE Collective Schemes with a DEX Model
Authors: Rudolf Janja , Udovč Andrej
Published: January 2022

Comparing diversified agri-environmental (AE) collective schemes in their capability to provide AE public goods faces great challenges, mostly because of their diversified nature and relatively new way to approach the provision of AE public goods. The state of the art is that there are not yet any common quantitative indicators or data to build a multi-criteria decision-making (MCDM) model to compare it with other practices and to set the strategic plan for the scheme’s improvement. Nevertheless, some qualitative common data of SWOT analyses are available, but the question remains how to simultaneously compare several SWOT analyses in an MCDM model. This study introduces a new way of transforming the qualitative results of SWOT analyses to fit in the MCDM Decision Expert (DEX) model using a special transformation technique SWOT scorecard. The SWOT scorecard evaluates the importance of qualitative results of several SWOT analyses simultaneously in a quantitative way, describing with points how supportive the environment is to each criterion in the DEX model. The SWOT scorecard keeps track of the original results from SWOT analysis and considers the diversity of AE schemes, which results in an appearance of the convergence points. This gives a key for comparing the AE collective schemes in providing AE public goods. Furthermore, it gives a solution for discussing the synergy between aspects that affect AE public goods provision for every AE scheme investigated. The technique is tested via five AE collective schemes in the DEXi program and gives deeper insight into factors that affect each scheme’s performance.
Simulation and Spatio-Temporal Variation Characteristics of LULC in the Context of Urbanization Construction and Ecological Restoration in the Yellow River Basin
Authors: Yang Can , Wei Tianxing , Li Yiran
Published: January 2022

The Yellow River Basin (YRB), located in the northern region of China, has a fragile ecological environment. With the construction of urbanization and ecological restoration projects, the YRB LULC has undergone significant change. In this study, we used the coupled Markov-FLUS model by combining natural and social driver factors to predict and simulate the LULC of the YRB in 2030, and then the LULC transfer matrix was used to analyze the characteristics of LULC change in the YRB from 1990 to 2030. The results of the study are as follows. (1) For the simulated result of LULC compared with the same period observed result, the Kappa coefficient is 0.92, indicating the coupled Markov-FLUS model has good applicability in the YRB. (2) The LULC in the YRB shows significant spatial autocorrelation. The cropland is mainly distributed in the eastern region, which is dominated by plain; woodland is mainly distributed in the central region; grassland is mainly distributed in the northern, central, and western region; waterbody is mainly distributed in the western region; built-up land is mainly distributed in the northern, south-central, and eastern region; unused land is mainly distributed in the central, northern, and western region. (3) From 1990 to 2000, the area of cropland transferred in significantly and the area of grassland transferred out significantly; from 2000 to 2015, the area of construction land transferred in significantly and the area of cultivated land transferred out significantly; from 2015 to 2030, the amount of cropland transferred out will be large, and the conversion of each other LULC type will be not significant compared with the previous periods, and the conversion structure of LULC will tend to be stable. This study is a crucial reference value for the high-quality development of the Yellow River Basin.
Particulate Matter in an Urban–Industrial Environment: Comparing Data of Dispersion Modeling with Tree Leaves Deposition
Authors: Sgrigna Gregorio , Relvas Hélder , Miranda Ana Isabel , Calfapietra Carlo
Published: January 2022

Particulate matter represents a serious hazard to human health, and air quality models contribute to the understanding of its dispersion. This study describes particulate matter with a ≤10 μm diameter (PM10) dynamics in an urban–industrial area, through the comparison of three datasets: modeled (TAPM—The Air Pollution Model), measured concentration (environmental control stations—ECS), and leaf deposition values. Results showed a good agreement between ECS and TAPM data. A steel plant area was used as a PM10 emissions reference source, in relation to the four sampling areas, and a distance/wind-based factor was introduced (Steel Factor, SF). Through SF, the three datasets were compared. The SF was able to describe the PM10 dispersion values for ECS and leaf deposition (r2 = 0.61–0.94 for ECS; r2 = 0.45–0.70 for leaf); no relationship was found for TAPM results. Differences between measured and modeled data can be due to discrepancies in one district and explained by a lack of PM10 inventory for the steel plant emissions. The study suggests the use of TAPM as a suitable tool for PM10 modeling at the urban scale. Moreover, tree leaves are a low-cost tool to evaluate the urban environmental quality, by providing information on whether and when data from leaf deposition can be used as a proxy for air pollution concentration. Further studies to include the re-suspension of particles as a PM10 source within emission inventories are suggested.
Towards a Carbon Neutral and Sustainable Campus: Case Study of NED University of Engineering and Technology
Authors: Mustafa Atif , Kazmi Majida , Khan Hashim Raza , Qazi Saad Ahmed , Lodi Sarosh Hashmat
Published: January 2022

Globally, universities are evaluating and targeting to reduce their carbon emissions and operate on a sustainable basis. The overall aim of this study revolves in addressing the following three questions: (1) How to calculate carbon footprint, including indicators selection, criteria, and measurement, for higher education institutions? (2) How to evaluate impact and effectiveness of various mitigation strategies in context of a higher education institution? (3) What are the possible limitations of approach selected for carbon footprint calculation. This paper presents estimation of the carbon footprint of NED University using a carbon calculator along with the identification of sources with maximum contribution to its carbon footprint. The carbon footprint of the NED University main campus for 2017 was calculated to be approximately 21,500 metric tons of equivalent CO2 and carbon footprint per student was 1.79 metric tons of equivalent CO2. Scope 1 and Scope 2 emissions each contributed nearly 7% of the carbon footprint, while Scope 3 emissions accounted for 85.6% of the carbon footprint. Major interventions such as switching to renewables, usage of energy efficient appliances, electric vehicles, and massive tree plantation inside and outside the campus were identified as the most effective mitigation strategies.
Environmental Protection, Industrial Structure and Urbanization: Spatiotemporal Evidence from Beijing–Tianjin–Hebei, China
Authors: Ma Shaojun , Li Lei , Ke Huimin , Zheng Yilin
Published: January 2022

The Beijing–Tianjin–Hebei urban agglomeration (BTH) is striving to realize the transformation process from a low-efficiency to a high-quality development mode; however, it still has problems regarding reducing energy consumption and ecological environment pressure. Based on panel data from 2013 to 2017, this paper proposes an evaluation index system based on BTH’s “environmental protection–industrial structure–urbanization” system. In the course of applying the coupling degree model (CDM) and the coupling coordination degree model (CCDM) with exploratory spatial data analysis (ESDA) methods, this paper discusses the spatiotemporal process, development level, and spatial agglomeration characteristics of the environmental protection–industrial structure–urbanization system in each city of the BTH area. The findings reveal that the coupling degree of the BTH system is gradually increasing, and that the development level of the BTH subsystem is unbalanced: the coupling coordination level of BTH shows a positive evolution process; however, it is in a stage of low-level collaborative development, and there are obvious differences in the level of BTH coupling coordination in space, revealing the convergence of low–high and high–low types. This paper concludes by putting forward the strategy of optimizing the regional spatial pattern of urban agglomeration and implementing integrated development in order to achieve the desired coupling and coordination effects.
Digital Entrepreneurship via Sustainable Online Communication of Dentistry Profession, Oradea, Romania: A Longitudinal Analysis
Authors: Constantin Felicia , Kavoura Androniki
Published: January 2022

Dentistry is an entrepreneurially oriented public interest profession that must maintain a balance between professional specificity and business sustainability. Communicating with patients is vital in a competitive system, and the dentist needs to use handy resources such as websites and social media. The aim of this research is (a) to examine whether websites and social networks are a digital entrepreneurship tool used in the dentistry profession in Oradea, a city in full economic development in Romania, to promote the profession nationally and internationally, (b) to compare the changes made using digital tools in the period between 2018–2021 for all licensed dentists in the mentioned city (between 430–450 people, depending on the stage of analysis) using the content analysis method and (c) to identify how the lockdown period imposed by the emergence of the COVID-19 pandemic influenced not only the sustainability of the medical services provided to the population but also the communication practices of the dental offices. The results of examining the dentist’s online presence reveal that there is an interest among practitioners to grow their business sustainably through a digital presence that is increasingly relevant to them and their clients, but the potential remains under-exploited.
Towards an Ecosystem of Hospitality: The Dynamic Future of Destinations
Authors: Philipp Julian , Thees Hannes , Olbrich Natalie , Pechlaner Harald
Published: January 2022

Digitalization, new work and leisure concepts and global challenges are transforming the way we live. More stakeholders, including residents and entrepreneurs, actively participate in the implementation of alternative socio-economic concepts; as such, entrepreneurial ecosystems are seen as drivers of regional development. The research still lacks holistic approaches to the application of ecosystems in tourism destinations. Hence, the objectives of this article are to capture research on entrepreneurial ecosystems in tourism and, specifically, to derive a holistic model that integrates destination and location management across stakeholders. This research utilizes the method of a systematic literature review, starting with 597 articles on ecosystems. Following four stages of exploring the literature, the results show that most articles have been published in rather isolated fields of smart tourism or quality of life aspects. Based on the rather qualitative review that reveals specific ecosystem components, we propose a model of an “Ecosystem of Hospitality” (EoH). Focusing on stakeholder interaction and encounters, the EoH fosters the adoption of the entrepreneurial ecosystem to destinations in a dynamic approach. The practical implications are, for example, a broader consideration of various stakeholders, including the local population, and a switch in typical destination management tasks from mere tourism service production to regional development and living space management.
The “New Transamazonian Highway”: BR-319 and Its Current Environmental Degradation
Authors: Lima Mendelson , Santana Dthenifer Cordeiro , Junior Ismael Cavalcante Maciel , Costa Patricia Monique Crivelari da , Oliveira Pedro Paulo Gomes de , Azevedo Raul Pio de , Silva Rogerio de Souza , Marinho Ubiranei de Freitas , Silva Valdinete da , Souza Juliana Aparecida Arantes de , Rossi Fernando Saragosa , Delgado Rafael Coll , Teodoro Larissa Pereira Ribeiro , Teodoro Paulo Eduardo , Silva Junior Carlos Antonio da
Published: January 2022

The Brazilian government intends to complete the paving of the BR-319 highway, which connects Porto Velho in the deforestation arc region with Manaus in the middle of the Amazon Forest. This paving is being planned despite environmental legislation, and there is concern that its effectiveness will cause additional deforestation, threatening large portions of forest, conservation units (CUs), and indigenous lands (ILs) in the surrounding areas. In this study, we evaluated environmental degradation along the BR-319 highway from 2008 to 2020 and verified whether highway maintenance has contributed to deforestation. For this purpose, we created a 20 km buffer adjacent to the BR-319 highway and evaluated variables extracted from remote sensing information between 2008 and 2020. Fire foci, burned areas, and rainfall data were used to calculate a drought index using statistical tests for a time series. Furthermore, these were related to data on deforestation, CUs, and ILs using principal component analysis and Pearson’s correlation. Our results showed that 743 km2 of forest was deforested during the period evaluated, most of which occurred in the last four years. A total of 16,472 fire foci were identified. Both deforestation and fire foci occurred mainly outside the CUs and ILs. The most affected areas were close to capital cities, and after resuming road maintenance in 2015, deforestation increased outside the capital cities. Current government policy for Amazon occupation promotes deforestation and will compromise Brazil’s climate goals of reducing greenhouse gas (GHG) emissions and deforestation.
Recycling of Post-Consumer Packaging Materials into New Food Packaging Applications—Critical Review of the European Approach and Future Perspectives
Authors: Franz Roland , Welle Frank
Published: January 2022

The European strategy for plastics, as part of the EU’s circular economy action plan, should support the reduction in plastic waste. One key element in this action plan is the improvement of the economics and quality of recycled plastics. In addition, an important goal is that by 2030, all plastics packaging placed on the EU market must either be reusable or can be recycled in a cost-effective manner. This means that, at the end, a closed-loop recycling of food packaging materials should be established. However, the use of recyclates must not result in less severe preventive consumer protection of food packaging materials. This may lead to a conservative evaluation of authorities on post-consumer recyclates in food packaging applications. On the other hand, over-conservatism might over-protect the consumer and generate insurmountable barriers to the application of post-consumer recyclates for food packaging and, hence, counteract the targets of circular economy. The objective of this review is to provide an insight into the evaluation of post-consumer recyclates applied in direct contact to food. Safety assessment criteria as developed by the European Food Safety Authority EFSA will be presented, explained, and critically discussed.
Early and Dynamic Socio-Academic Variables Related to Dropout Intention: A Predictive Model Made during the Pandemic
Authors: Maluenda-Albornoz Jorge , Infante-Villagrán Valeria , Galve-González Celia , Flores-Oyarzo Gabriela , Berríos-Riquelme José
Published: January 2022

Social and academic integration variables have been shown to be relevant for the understanding of university dropout. However, there is less evidence regarding the influence of these variables on dropout intention, as well as the predictive models that explain their relationships. Improvements in this topic become relevant considering that dropout intention stands as a useful measure to anticipate and intervene this phenomenon. The objective of the present study was to evaluate a predictive model for university dropout intention that considers the relationships between social and academic variables during the first university semester of 2020. The research was conducted using a cross-sectional associative-predictive design, with a convenience sampling (n = 711) due to the restrictions of the pandemic period. The results showed a good fit of the proposed hypothetical model that explained 38.7% of dropout intention. Both social support and perceived social isolation predicted the sense of belonging and, through it, engagement. Previous academic performance predicted early academic performance and, through it, engagement. The set of variables predicted the intention to quit through engagement. These results are a contribution both to the understanding of the phenomenon and to guide potential interventions in the early stages of the university experience.
CSR in Education on Business Confidence: Mediation Effect of Corporate Reputation in the Peruvian Banking Sector
Authors: Bolaños Edmundo Lizarzaburu , Del Brío Jesús , García-Gómez Conrado Diego
Published: January 2022

This paper analyzes the direct influence of CSR educational actions on business confidence in the context of the banking sector in an emerging country (Peru). A mediating effect through corporate reputation is also analyzed. To test the hypotheses presented in this paper, we have sent a survey to 1745 executive officers of the branches of the banks. These key individuals were selected as the target population of the study because the authors sought to study the management’s perception of CSR and business confidence. From the data obtained from the survey, it has been tested that educational CSR actions in Peruvian banks directly influences the perception of business confidence. Secondly, this relationship is partially mediated by the effect of CSR educational actions on corporate reputation.