bluuebunny/crossref_metadata_2025 huggingface dataset:
Cyber Insurance Ratemaking: A Graph Mining Approach
Authors: Antonio Yeftanus , Indratno Sapto Wahyu , Simanjuntak Rinovia
Published: December 2021

Cyber insurance ratemaking (CIRM) is a procedure used to set rates (or prices) for cyber insurance products provided by insurance companies. Rate estimation is a critical issue for cyber insurance products. This problem arises because of the unavailability of actuarial data and the uncertainty of normative standards of cyber risk. Most cyber risk analyses do not consider the connection between Information Communication and Technology (ICT) sources. Recently, a cyber risk model was developed that considered the network structure. However, the analysis of this model remains limited to an unweighted network. To address this issue, we propose using a graph mining approach (GMA) to CIRM, which can be applied to obtain fair and competitive prices based on weighted network characteristics. This study differs from previous studies in that it adds the GMA to CIRM and uses communication models to explain the frequency of communications as weights in the network. We used the heterogeneous generalized susceptible-infectious-susceptible model to accommodate different infection rates. Our approach adds up to the existing method because it considers the communication frequency and GMA in CIRM. This approach results in heterogeneous premiums. Additionally, GMA can choose more active communications to reflect high communications contribution in the premiums or rates. This contribution is not found when the infection rates are the same. Based on our experimental results, it is apparent that this method can produce more reasonable and competitive prices than other methods. The prices obtained with GMA and communication factors are lower than those obtained without GMA and communication factors.
Feasibility and Performance Validation of a Leap Motion Controller for Upper Limb Rehabilitation
Authors: de Souza Marcus R. S. B. , Gonçalves Rogério S. , Carbone Giuseppe
Published: December 2021

The leap motion controller is a commercial low-cost marker-less optical sensor that can track the motion of a human hand by recording various parameters. Upper limb rehabilitation therapy is the treatment of people having upper limb impairments, whose recovery is achieved through continuous motion exercises. However, the repetitive nature of these exercises can be interpreted as boring or discouraging while patient motivation plays a key role in their recovery. Thus, serious games have been widely used in therapies for motivating patients and making the therapeutic process more enjoyable. This paper explores the feasibility, accuracy, and repeatability of a leap motion controller (LMC) to be applied in combination with a serious game for upper limb rehabilitation. Experimental feasibility tests are carried out by using an industrial robot that replicates the upper limb motions and is tracked by using an LMC. The results suggest a satisfactory performance in terms of tracking accuracy although some limitations are identified and discussed in terms of measurable workspace.
On a Data-Driven Approach for Detecting Disturbance in the Brazilian Savannas Using Time Series of Vegetation Indices
Authors: Souza Alana Almeida de , Galvão Lênio Soares , Korting Thales Sehn , Almeida Cláudio Aparecido
Published: December 2021

Remote sensing of disturbance in the savannas from Brazil is challenging, especially due to confounding effects of the vegetation phenology and natural soil exposure on the detection of clearing and fire events. In this study, we investigated the detection of disturbance over this global hotspot of biodiversity using seven vegetation indices (VIs) calculated from the Landsat time series (2017–2019) and the Continuous Change Detection and Classification (CCDC) algorithm. The selected VIs represented distinct biophysical characteristics of the savannas. We evaluated the effects of disturbance on these VIs and assessed the accuracy of CCDC-detection in 2019, considering individual VIs, ensemble VIs, and the type of disturbance (savanna clearing and fire). Finally, we analyzed the possible existence of seasonal patterns of disturbance in a study area located at the new agricultural frontier of the Cerrado biome. The results showed that the overall accuracy of CCDC detection of total disturbance ranged from 51.2% for the Green-Red Normalized Difference (GRND) to 65.9% for the Normalized Burn Ratio (NBR2). It increased to 71.2% for ensemble VIs, whose multivariate approach reduced the omission errors in the analysis when compared to the use of single VIs. For detecting events of savanna clearing and fire, the most important VIs used near-infrared and shortwave infrared reflectance bands on their formulations (NBR2, NBR, and Moisture Stress Index—MSI). The CCDC accuracy was generally higher for detecting clearing than for mapping burned areas. In contrast, the recorded date of disturbance occurrence was less precise for detecting clearing than for recording events caused by fire, especially due to the existence of some gradual processes of vegetation degradation until complete clearing. Our findings showed also the existence of a seasonal pattern of disturbance occurrence. Savanna clearing predominated in the transition from the rainy to the dry season (April to July) to open new areas for agriculture. It preceded most events of fire disturbance between August and October that occurred near the consolidated areas of agriculture and extended into the native vegetation areas. Results reinforce the importance of data-driven approaches for generating early warning alerts of disturbance in the Cerrado to be further checked in the field.
Exploring the Relationship between Forest Canopy Height and Canopy Density from Spaceborne LiDAR Observations
Authors: Kay Heather , Santoro Maurizio , Cartus Oliver , Bunting Pete , Lucas Richard
Published: December 2021

Forest structure is a useful proxy for carbon stocks, ecosystem function and species diversity, but it is not well characterised globally. However, Earth observing sensors, operating in various modes, can provide information on different components of forests enabling improved understanding of their structure and variations thereof. The Ice, Cloud and Elevation Satellite (ICESat) Geoscience Laser Altimeter System (GLAS), providing LiDAR footprints from 2003 to 2009 with close to global coverage, can be used to capture elements of forest structure. Here, we evaluate a simple allometric model that relates global forest canopy height (RH100) and canopy density measurements to explain spatial patterns of forest structural properties. The GLA14 data product (version 34) was applied across subdivisions of the World Wildlife Federation ecoregions and their statistical properties were investigated. The allometric model was found to correspond to the ICESat GLAS metrics (median mean squared error, MSE: 0.028; inter-quartile range of MSE: 0.022–0.035). The relationship between canopy height and density was found to vary across biomes, realms and ecoregions, with denser forest regions displaying a greater increase in canopy density values with canopy height, compared to sparser or temperate forests. Furthermore, the single parameter of the allometric model corresponded with the maximum canopy density and maximum height values across the globe. The combination of the single parameter of the allometric model, maximum canopy density and maximum canopy height values have potential application in frameworks that target the retrieval of above-ground biomass and can inform on both species and niche diversity, highlighting areas for conservation, and potentially enabling the characterisation of biophysical drivers of forest structure.
Maritime Multiple Moving Target Detection Using Multiple-BDS-Based Radar: Doppler Phase Compensation and Resolution Improvement
Authors: Lan Xiang , Wang Liuying , Li Jinxing , Jiang Wangqiang , Zhang Min
Published: December 2021

With the realization of global navigation satellite system (GNSS) completion, GNSS reflectometry (GNSS-R) has become increasingly popular due to the advantages of global coverage and the availability of multiple sources in terms of earth remote sensing. This paper analyzes the Beidou navigation satellite system (BDS) signal reflection detection of multiple satellites and multiple moving targets under multiple-input and multiple-output (MIMO) radar systems and proposes a series of methods to suppress multiple Doppler phase influences and improve the range detection property. The simulation results show the restored target peaks, which match the RCS data more accurately, with the GNSS-R Doppler phase influence removed, which proves the proposed method can improve target recognition and detection resolution performance.
A Convolutional Neural Network Algorithm for Soil Moisture Prediction from Sentinel-1 SAR Images
Authors: Hegazi Ehab H. , Yang Lingbo , Huang Jingfeng
Published: December 2021

Achieving the rational, optimal, and sustainable use of resources (water and soil) is vital to drink and feed 9.725 billion by 2050. Agriculture is the first source of food production, the biggest consumer of freshwater, and the natural filter of air purification. Hence, smart agriculture is a “ray of hope” in regard to food, water, and environmental security. Satellites and artificial intelligence have the potential to help agriculture flourish. This research is an essential step towards achieving smart agriculture. Prediction of soil moisture is important for determining when to irrigate and how much water to apply, to avoid problems associated with over- and under-watering. This also contributes to an increase in the number of areas being cultivated and, hence, agricultural productivity and air purification. Soil moisture measurement techniques, in situ, are point measurements, tedious, time-consuming, expensive, and labor-intensive. Therefore, we aim to provide a new approach to detect moisture content in soil without actually being in contact with it. In this paper, we propose a convolutional neural network (CNN) architecture that can predict soil moisture content over agricultural areas from Sentinel-1 images. The dual-pol (VV–VH) Sentinel-1 SAR data have being utilized (V = vertical, H = horizontal). The CNN model is composed of six convolutional layers, one max-pooling layer, one flatten layer, and one fully connected layer. The total number of Sentinel-1 images used for running CNN is 17,325 images. The best values of the performance metrics (coefficient of determination (R2=0.8664), mean absolute error (MAE=0.0144), and root mean square error (RMSE=0.0274)) have been achieved due to the use of Sigma naught VH and Sigma naught VV as input data to the CNN architecture (C). Results show that VV polarization is better than VH polarization for soil moisture retrieval, and that Sigma naught, Gamma naught, and Beta naught have the same influence on soil moisture estimation.
A Semantic-Preserving Deep Hashing Model for Multi-Label Remote Sensing Image Retrieval
Authors: Cheng Qimin , Huang Haiyan , Ye Lan , Fu Peng , Gan Deqiao , Zhou Yuzhuo
Published: December 2021

Conventional remote sensing image retrieval (RSIR) systems perform single-label retrieval with a single label to represent the most dominant semantic content for an image. Improved spatial resolution dramatically boosts the remote sensing image scene complexity, as a remote sensing image always contains multiple categories of surface features. In this case, a single label cannot comprehensively describe the semantic content of a complex remote sensing image scene and therefore results in poor retrieval performance in practical applications. As a result, researchers have begun to pay attention to multi-label image retrieval. However, in the era of massive remote sensing data, how to increase retrieval efficiency and reduce feature storage while preserving semantic information remains unsolved. Considering the powerful capability of hashing learning in overcoming the curse of dimensionality caused by high-dimensional image representation in Approximate Nearest Neighbor (ANN) search problems, we propose a new semantic-preserving deep hashing model for multi-label remote sensing image retrieval. Our model consists of three main components: (1) a convolutional neural network to extract image features; (2) a hash layer to generate binary codes; (3) a new loss function to better maintain the multi-label semantic information of hash learning contained in context remote sensing image scene. As far as we know, this is the first attempt to apply deep hashing into the multi-label remote sensing image retrieval. Experimental results indicate the effectiveness and promising of the introduction of hashing methods in the multi-label remote sensing image retrieval.
Estimating Aboveground Carbon Stock at the Scale of Individual Trees in Subtropical Forests Using UAV LiDAR and Hyperspectral Data
Authors: Qin Haiming , Zhou Weiqi , Yao Yang , Wang Weimin
Published: December 2021

Accurate estimation of aboveground carbon stock for individual trees is important for evaluating forest carbon sequestration potential and maintaining ecosystem carbon balance. Airborne light detection and ranging (LiDAR) data has been widely used to estimate tree-level carbon stock. However, few studies have explored the potential of combining LiDAR and hyperspectral data to estimate tree-level carbon stock. The objective of this study is to explore the potential of integrating unmanned aerial vehicle (UAV) LiDAR with hyperspectral data for tree-level aboveground carbon stock estimation. To achieve this goal, we first delineated individual trees by a CHM-based watershed segmentation algorithm. We then extracted structural and spectral features from UAV LiDAR and hyperspectral data respectively. Then, Pearson correlation analysis was conducted to assess the correlation between LiDAR features, hyperspectral features, and tree-level carbon stock, based on which, features were selected for model development. Finally, we developed tree-level carbon stock estimation models based on the Schumacher–Hall formula and stepwise multiple regression. Results showed that both LiDAR and hyperspectral features were strongly correlated to tree-level carbon stock. Both tree height (H, r = 0.75) and Green index (GI, r = 0.83) had the highest correlation coefficients with tree-level carbon stock in LiDAR and hyperspectral features, respectively. The best model using LiDAR features alone includes the metrics of H, the 10th height percentile of points (PH10), and mean height of points (Hmean), and can explain 74% of the variations in tree-level carbon stock. Similarly, the best model using hyperspectral data includes GI and modified normalized differential vegetation index (mNDVI), and has similar explanatory power (r2 = 0.75). The model that integrates predictors, namely, GI and the 95th height percentile of points (PH95) from hyperspectral and LiDAR data, substantially improves the explanatory power (r2 = 0.89). These results indicated that while either LiDAR data or hyperspectral data alone can estimate tree-level carbon stock with reasonable accuracy, combining LiDAR and hyperspectral features can substantially improve the explanatory power of the model. Such results suggested that tree-level carbon stock estimation can greatly benefit from the complementary nature of LiDAR-detected structural characteristics and hyperspectral-captured spectral information of vegetation.
Assessment of Wildfire Activity Development Trends for Eastern Australia Using Multi-Sensor Earth Observation Data
Authors: Nolde Michael , Mueller Norman , Strunz Günter , Riedlinger Torsten
Published: December 2021

Increased fire activity across the Amazon, Australia, and even the Arctic regions has received wide recognition in the global media in recent years. Large-scale, long-term analyses are required to postulate if these incidents are merely peaks within the natural oscillation, or rather the consequence of a linearly rising trend. While extensive datasets are available to facilitate the investigation of the extent and frequency of wildfires, no means has been available to also study the severity of the burnings on a comparable scale. This is now possible through a dataset recently published by the German Aerospace Center (DLR). This study exploits the possibilities of this new dataset by exemplarily analyzing fire severity trends on the Australian East coast for the past 20 years. The analyzed data is based on 3503 tiles of the ESA Sentinel-3 OLCI instrument, extended by 9612 granules of the NASA MODIS MOD09/MYD09 product. Rising trends in fire severity could be found for the states of New South Wales and Victoria, which could be attributed mainly to developments in the temperate climate zone featuring hot summers without a dry season (Cfa). Within this climate zone, the ecological units featuring needleleaf and evergreen forest are found to be mainly responsible for the increasing trend development. The results show a general, statistically significant shift of fire activity towards the affection of more woody, ecologically valuable vegetation.
Efficacy of Oregano Essential Oil Extract in the Inhibition of Bacterial Lipopolysaccharide (LPS)-Induced Osteoclastogenesis Using RAW 264.7 Murine Macrophage Cell Line—An In-Vitro Study
Authors: Janani Krishnamachari , Teja Kavalipurapu , Alam Mohammad , Shrivastava Deepti , Iqbal Azhar , Khattak Osama , Al-Johani Khalid , Hamza May , Jose Jerry , Karobari Mohmed , Srivastava Kumar
Published: December 2021

Gram-negative, anaerobic bacterias are predominate in periapical infections. The bacterial lipopolysaccharide (LPS) initiates the process of inflammation and periapical bone resorption. Usage of various medicaments retards or inactivates the bacterial endotoxin (LPS). However, the results are not highly effective. In recent years, owing to antimicrobial resistance, the shift from conventional agents to herbal agents has been increased tremendously in research. Keeping this in mind, the present study was formulated to evaluate the efficacy of oregano essential oil in inhibiting bacterial LPS- induced osteoclastogenesis. Four different concentrations (0 ng/mL, 25 ng/mL, 50 ng/mL, and 100 ng/mL) of oregano essential oil extract were added into 96-well culture plate. Under light microscope, quantification of osteoclast cells was performed. One-way ANOVA with post-hoc Tukey test was carried out on SPSS v21. A significant reduction (p < 0.001) in the osteoclast was observed in the experimental groups compared to no oregano essential oil extract (control). A dose-dependent significant reduction (p < 0.001) in osteoclast formation was observed among the experimental groups, with lesser osteoclast seen in group IV with 100 ng/mL of oregano essential oil extract. Thus, it can be concluded that oregano essential oil extract can be utilized as a therapeutic agent that can target bacterial LPS-induced osteoclastogenesis. However, randomized controlled studies should be conducted to assess the potential use of this extract in the periapical bone resorption of endodontic origin.
Organizational Justice and Workplace Bullying: Lessons Learned from Externally Referred Complaints and Investigations
Authors: Neall Annabelle M. , Li Yiqiong , Tuckey Michelle R.
Published: December 2021

Workplace bullying is a serious psychosocial risk which, when poorly managed, results in detrimental outcomes for individuals, organizations, and society. Some of the most common strategies for addressing bullying within the workplace centre on attempts to document and contextualise the bullying situation—that is, the internal complaint and investigation process. Scholarly inquiries of these investigative mechanisms, however, are limited, and most have neglected the influence of organisational justice as an underpinning mechanism in explaining complainant dissatisfaction. Using evidence from 280 real-life cases of workplace bullying lodged with a peak work, health, and safety agency, we identify how organizational justice manifests in externally referred cases of workplace bullying. Specifically, we match complainant evaluations of the internal complaint and investigation handling process to domains of organisational justice, thereby ascertaining potential threats to efforts to effectively manage and prevent bullying in the workplace. Four types of justice—distributive, procedural, interpersonal, and informational—were identified within the cases. Specifically, in cases of workplace bullying where distributive justice is not upheld (usually by virtue of unsubstantiated claims), the way in which information is gathered and decisions are made (procedural), the way in which the parties are treated (interpersonal), and the timeliness and validity of explanations provided (informational) are all cited by complainants as key factors in their decision to escalate the complaint to an external investigative body. These results signal the need for timely, clear, and compassionate investigative processes that validate complainants’ experiences and serve as a tool for rebuilding trust and repairing damaged relationships in the workplace.
Data Protection Impact Assessment: A Protection Tool for Migrants Using ICT Solutions
Authors: Zomignani Barboza Júlia , De Hert Paul
Published: December 2021

Smart devices have become ubiquitous in everyday life, and it is commonplace that migrants are among the users of connected tools. With the realization that migrants rely on connectivity for multiple purposes, including to access information and services, many initiatives started working on developing ICT tools to assist migrants to integrate into their new society. Technological tools, however, come with inherent risks, many of which are linked to the processing of personal data of their users. This is especially true for migrants, who are often vulnerable due to their migration status, which is not always secure in the host country. To mitigate these risks, we argue that an expanded data protection impact assessment, analyzing not only the impacts related to data protection, but also to the specific situation of migrants, should be conducted at the outset of any technology development project to influence the development of safe and reliable ICT tools for this target population. A practical example of the application of such an assessment is provided, based on the authors’ experience as legal advisors in the REBUILD project, which is one of the current initiatives in the EU aiming to develop ICT tools for migrant integration.
Morphological and Physiological Response of Different Lettuce Genotypes to Salt Stress
Authors: Adhikari Bikash , Olorunwa Omolayo J. , Wilson Jeff C. , Barickman T. Casey
Published: December 2021

Salt stress (SS) refers to excessive soluble salt concentrations in the plant root zone. SS also causes cellular water deficits, ion toxicity, and oxidative stress in plants, all of which can cause growth inhibition, molecular damage, and even plant mortality. Lettuce (Lactuca sativa L.) has a threshold electrical conductivity of 1.3–2.0 dS/m. Thus, this research focused on physiological, morphological, and biochemical attributes in multiple lettuce genotypes under SS compared to plants grown under control conditions. The experiment was arranged in a randomized complete block design with four replications. One month after planting, the salt treatment was applied at the rate of 100 millimoles (mM). The 0 mM salt in water treatment was considered the control. A significant effect of SS on different morphological and physiological traits was observed in one-month-old lettuce plants. PI 212099, Buttercrunch-1, and PI 171676 were highly salt-tolerant. Genotypes with high salt tolerance usually had poor growth potential under control conditions. This suggests that the morphological and physiological response of 38 lettuce cultivars towards SS is genotype dependent. Identifying SS’s physiological, morphological, and biochemical attributes in lettuce may help plant-breeders develop salt-tolerant lettuce genotypes.
How Do Nature-Based Solutions’ Color Tones Influence People’s Emotional Reaction? An Assessment via Virtual and Augmented Reality in a Participatory Process
Authors: Piga Barbara Ester Adele , Stancato Gabriele , Rainisio Nicola , Boffi Marco
Published: December 2021

Simulations of urban transformations are an effective tool for engaging citizens and enhancing their understanding of urban design outcomes. Citizens’ involvement can positively contribute to foster resilience for mitigating the impact of climate change. Successful integration of Nature-Based Solutions (NBS) into the urban fabric enables both the mitigation of climate hazards and positive reactions of citizens. This paper presents two case studies in a southern district of Milan (Italy), investigating the emotional reaction of citizens to existing urban greenery and designed NBS. During the events, the participants explored in Virtual Reality (VR) (n = 48) and Augmented Reality (AR) (n = 63) (i) the district in its current condition and (ii) the design project of a future transformation including NBS. The environmental exploration and the data collection took place through the exp-EIA© method, integrated into the mobile app City Sense. The correlations between the color features of the viewed landscape and the emotional reaction of participants showed that weighted saturation of green and lime colors reduced the unpleasantness both in VR and AR, while the lime pixel area (%) reduced the unpleasantness only in VR. No effects were observed on the Arousal and Sleepiness factors. The effects show high reliability between VR and AR for some of the variables. Implications of the method and the benefits for urban simulation and participatory processes are discussed.
Global Climate Change—Who Ought to Pay the Bill?
Authors: Massenberg Julian Richard
Published: December 2021

Global climate change is a significant challenge for current and, particularly, future generations. In the public debate about the fair allocation of associated costs commonly the moral claim that the developed countries should burden the costs is expressed. To support this claim, often four moral arguments, based on the theory of justice, are raised: (i) the polluter pays, (ii) the historical responsibility, (iii) the beneficiary pays, and (iv) the ability to pay. The aim of the paper is to assess whether these principles impose a duty on the developed countries and whether a fair allocation of costs would be achieved.
Unpacking B Corps’ Impact on Sustainable Development: An Analysis from Structuration Theory
Authors: Tabares Sabrina , Morales Andrés , Calvo Sara , Molina Moreno Valentín
Published: December 2021

With Our Common Future and the United Nation’s global call to implement the Sustainable Development Goals (SDGs) in 2030, public policies increasingly emphasise the need for various actors to contribute to a global transformation and a more sustainable future. Despite growing research on hybrid organisations and their contributions to sustainable development, their impact on accelerating this transition might be faulty. Looking at a type of hybrid organisation, Certified B Corporations (B Corps), this article draws on a multiple case study of nine B Corps in a developing country in Latin America, Colombia. The study builds on the Structuration Theory to examine to what extent and how B Corps impact sustainable development. The article empirically shows that B Corps focus on four categories of sustainable development: considering future generations; enhancing human development; encouraging new mindsets, behaviours, and lifestyles; and promoting socio-political engagement. The findings suggest that B Corps develop communicative and narrative discourses and symbolic schemas as means of signification and follow norms and moral rules to exert legitimation and utilise authoritative resources to exercise power. The article contributes to research on hybrid organisations, sustainability transitions, and business models.
What the Ground Says…
Authors: Occhiuto Rita
Published: December 2021

Ground, as a body incised by natural and human actions (European Landscape Convention), carries “stories”, going beyond quantitative values. As in a text, it holds the keys to understand what it covers or hides. In its thickness, it shelters “implicit projects”. Understanding its complexity requires a physical and perceptual commitment, challenging the body in space: dimensions gradually forgotten by Environmental Sciences. As a “threshold” between visible and invisible, Underground-Built-Heritage represents the reverse of the emerged world: hollow space, both generator and mirror of open space (cities, landscapes). The focus is on physical and mental relationships between these two worlds. Past and present relationships emerge, allowing hypotheses to reconstitute collective memories, practices, knowledge, and values, which serve territorial development. The “Three Countries Park” is a place for cross-border experimentation to test how UBH can rebuild common links for fragmented environments. The cavities of a geo-park (planned) and the tangles of underground mining architecture are the fragments of a vocabulary whose meaning communities have to relearn. Built undergrounds will, thus, emerge from common stories that revive the imagination of populations who have lost all notion of belonging to a place. UBH will become a vector of new territorial coherence linking the physical and mental perceptions of people.
A New Approach for Static NOx Measurement in PTI
Authors: Fernández Eugenio , Valero Alicia , Alba Juan José , Ortego Abel
Published: December 2021

NOx emissions in vehicles are currently only controlled through the homologation process. There is a lack of knowledge to assess and control real NOx emissions of vehicles reliably. Even if vehicles in EU-27 are subject to Periodical Technical Inspection (PTI), NOx are not among the pollutants currently being controlled. For PTIs, tests need to be simple, quick, inexpensive, representative, and accurate. Ideally, tests need to be carried out under static conditions, without the need for a power bench or complex equipment. In this paper, a new approach for measuring NOx in PTI is proposed. The method has been developed and validated at a PTI Spanish station to ensure feasibility and repeatability. This method is based on the relationship between the “% engine load” value and exhaust NOx concentration at idle engine speed. Starting from the state of minimum possible power demand in a vehicle (idling and without any consumption), a load state with an average 98% increase in engine power demand is generated by connecting elements of the vehicle’s equipment. The relationship between power demand (through the “% engine load” value) and NOx concentration is then analyzed. The quality and representativity of this relationship have been checked with a p-value lower than 0.01. The method has been compared with a different NOx measurement technique, based on the simulation on a test bench and the ASM 2050 cycle, showing better performance in terms of repeatability and representativeness. The “% engine load” dispersion with the new approach is 7%, which ensures the reliability and repeatability of the method. The results show that the proposed method could be a valuable tool in PTI to detect high NOx emitting vehicles and to obtain information from the diesel vehicles fleet.
Literature Review on Digitalization in Facilities Management and Facilities Management Performance Measurement: Contribution of Industry 4.0 in the Global Era
Authors: Lee Jeoung Yul , Irisboev Ilkhom Okmirzaevich , Ryu Yeon-Sik
Published: December 2021

In this study, our aim is to present a comprehensive systematic review on digitalization (DT) in facility management (FM) and FM performance management (PM). Past research on these themes indicated that either research articles on DT in FM or research studies on FM PM are separately dealt with. However, in contrast, in our literature review, we try to present a holistic literature review by integrating both research streams on DT applications for FM and FM PM. A total 130 academic journal articles published on these subjects, between 1990 and 2021, from Web of Science and Google Scholars, were reviewed in this article. Moreover, this article identified a number of possibilities for future research on DT and FM PM, including the interoperability enhancement of building information modeling (BIM) methodology, the test and implementation of BIM concept for smart transportation infrastructure, usage of the integration of 3D analysis algorithms, the perfect cross integration of BIM and geographic information system (GIS) and systematic research efforts with new methodologies and theoretical constructs. We hope that this article will help researchers determine the areas where further research must be conducted and what kind of future directions would be valuable for DT and PM in FM.
From Seaweeds to Cosmeceutics: A Multidisciplinar Approach
Authors: Grillo Giorgio , Tabasso Silvia , Solarino Roberto , Cravotto Giancarlo , Toson Clarissa , Ghedini Elena , Menegazzo Federica , Signoretto Michela
Published: December 2021

Macroalgae are widespread on the coasts of all the globe and lead to a negative ecological impact, requiring expensive remediations. Therefore, the valorization of invasive seaweed as a renewable source of bioactive products could represent a valid solution. In this context, three algal biomasses, belonging to brown, green, and red families (Sargassum muticum, Ulva lactuca, Solieria filiformis), collected in the venetian Laguna, were investigated as a source of active compounds for the formulation of cosmeceutics. Microwave (MW) and ultrasound (US) were applied to enhance the algae extraction by means of a hydroalcoholic solution. According to total phenolic content (TPC) evaluation, MW demonstrated the best performing outcomes, resulting in 19.77, 22.02, and 16.94 mgGAE/gExtr (30 min at 90 °C) for brown, green, and red algae, respectively. Antioxidant activity was tested as well, showing comparable trends (49.19, 26.24, and 3.02 mmolTrolox eq./gExtr for brown, green, and red algae, respectively). Due to natural algae predisposition to absorb contaminants, the metal content analysis helped to screen the applicability of these extracts, identifying Ulva lactuca as the most suitable source of antioxidants for cosmetic formulations. This MW extract was then adopted to formulate two different preparations, namely a gel and an emulsion. Thermal and mechanical tests confirmed the stability of each formulation, together with neutral organoleptic characteristics. Finally, the actives release was investigated by means of a tape stripping essay, showing an efficient controlled release for gel formulation, even after 7 h of test. The produced cosmeceutics merged non-conventional extraction technologies with formulation expertise, offering a valuable alternative to solve the macroalgae disposal issue.
Adapting Sanitation Needs to a Latrine Design (and Its Upgradable Models): A Mixed Method Study under Lower Middle-Income Rural Settings
Authors: Kanda Artwell , Ncube Esper Jacobeth , Voyi Kuku
Published: December 2021

Rural households have latrine preferences and unique sanitation needs. An assessment of how rural households adapt their sanitation needs to a nationally encouraged latrine design was done. A cross-sectional survey was conducted among 790 households in a rural district of Zimbabwe from November 2020 to May 2021. Data were analysed using logistic regression. Qualitative data were collected using focus groups and analysed using thematic analysis. Analyses were done in STATA 16 and considered significant at p < 0.05. There was low adoption of the Blair ventilated improved pit latrine and its upgradable models. Significant predictor variables of BVIP latrine adoption were mainly contextual and psychosocial at the individual and household levels. They included source and level of household income, residence period, nature of homestead, number of cattle owned, knowledge of sanitation options and perceived high latrine cost. The latrine design was considered not a pro-poor option as it was unaffordable by many rural households resulting in its non-completion, poor-quality designs, alternative options, sharing and open defaecation. Poverty appears the main barrier for latrine ownership. However, a window of opportunity to improve access to sanitation in rural Zimbabwe exists by considering alternative sanitation options and financial investment mechanisms.
Operating Safety Evaluation of Battery-Electric Taxi Based on Spatio-Temporal Speed Parameters
Authors: Mi Xueyu , Dong Chunjiao , Li Ning , Lin Yi , Shao Chunfu , Fan Bosong
Published: December 2021

The battery-electric taxis have the features of larger mass, low operating noise, and great speed, and the drivers of battery-electric taxis have various driving behaviors and low safety awareness, which leads to higher safety risks. In the paper, the driving and speed characteristics of battery-electric taxis, conventional taxis, and private cars are compared and analyzed through conducting a GPS trajectory survey and a cross-section traffic flow parameter survey. An evaluation index system that is based on the spatio-temporal speed parameters is proposed, and a MEW-VIKOR method is developed for the operatiing safety evaluation of the battery-electric taxi. The results show that the operating speed of battery-electric taxis is significantly higher than that of conventional taxis on weekdays and weekends, and there is a relatively common speeding phenomenon on urban local roads. The proposed safety evaluation index system that is based on the spatio-temporal speed parameters and the MEW-VIKOR evaluation method can effectively evaluate the operatiing safety of battery-electric taxis. In addition, the ranking results show that, according to the spatio-temporal speed parameters, the operating safety of battery-electric taxis is lower than that of conventional taxis and private cars. The research provides theoretical insights for strategies and policies making to reduce the unsafe driving behaviors of battery-electric taxis.
Impact of the Mobility Restrictions in the Palestinian Territory on the Population and the Environment
Authors: Aburas Hala , Shahrour Isam
Published: December 2021

This paper analyzes the mobility restrictions in the Palestinian territory on the population and the environment. The literature review shows a scientific concern for this issue, with an emphasis on describing mobility barriers and the severe conditions experienced by the population due to these barriers as well as the impact of mobility restrictions on employment opportunities. On the other hand, the literature review also shows a deficit in quantitative analysis of the effects of mobility restrictions on the environment, particularly on energy consumption and greenhouse gas emissions. This paper aims to fill this gap through a quantitative analysis by including data collection about mobility restrictions, using network analysis to determine the impact of these restrictions on inter-urban mobility, and analysis of the resulting energy consumption and CO2 emissions. The results show that mobility restrictions induce a general increase in energy consumption and CO2 emissions. The average value of this increase is about 358% for diesel vehicles and 275% for gasoline vehicles.
Digitainability and Financial Performance: Evidence from the Serbian Banking Sector
Authors: Stefanovic Nikola , Barjaktarovic Lidija , Bataev Alexey
Published: December 2021

This study aimed to explore the cross-section of digitalization and sustainability in banking and its effect on bank performance. The sample consisted of all of the banks (n = 25) operating in the Republic of Serbia from 2011 to 2020. The research results show that the banks focusing on digitalization and sustainability are profitable, even in the face of coronavirus disease 2019 (COVID-19). Furthermore, using the Pearson’s correlation, the study shows that the level of investment in digital transformation has a strong relationship with the net result. We advocate that digitainability in banking is an important factor in uncertain times and should be fostered and included in bank strategies in the post-COVID 19 world. To the best of our knowledge, this is the first study that provides insight into digitainability and bank performance.
Political Economy of Green Hydrogen Rollout: A Global Perspective
Authors: Sadik-Zada Elkhan Richard
Published: December 2021

The present paper dwells on the role of green hydrogen in the transition towards climate-neutral economies and reviews the central challenges for its emancipation as an economically viable source of energy. The study shows that countries with a substantial share of renewables in the energy mix, advanced natural gas pipeline infrastructure, and an advanced level of technological and economic development have a comparative advantage for the wider utilization of hydrogen in their national energy systems. The central conclusion of this review paper is that a green hydrogen rollout in the developed and oil-exporting developing and emerging countries is not a risk for the rest of the world in terms of the increasing technological disparities and conservation of underdevelopment and concomitant socio-economic problems of the Global South. The targets anchored in Paris Agreement, but even more in the EU Green Deal and the European Hydrogen Strategy will necessitate a substantial rollout of RESs in developing countries, and especially in the countries of the African Union because of the prioritization of the African continent within the energy cooperation frameworks of the EU Green Deal and the EU Hydrogen Strategy. Hence, the green hydrogen rollout will bridge the energy transition between Europe and Africa on the one hand, and climate and development targets on the other.
Popular and Solidarity Economy: Policies and Realities in the Local Context—The Case of the Agricultural Productive Associations of El Valle, Ecuador
Authors: Gómez-Ceballos Gliceria , Vázquez-Loaiza Juan Pablo , Herrera-Torres Dora Priscilla , Vega-Luna Ana Julia
Published: December 2021

The popular and solidarity economy (EPS) emerges as an alternative approach to poverty aligned with the principles of sustainable development; in this sense, some countries in the region have adopted policies for its growth and development, among them Ecuador. The experience of a rural community was shown; the objective of the study was to identify the factors that hinder the achievement of better efficiency indexes, regarding the implementation of policies at the local level, with respect to rural productive associations. The case of the agricultural productive associations located in the parish of El Valle, Cuenca, Ecuador, was studied. The type of research was mixed: quantitative to support the information extracted from the instruments applied and derive the pertinent analysis and qualitative to collect primary information from the actors involved in the study. We used the action research model through the use of surveys, interviews and focus groups. The key contribution of this work was to making visible and understanding the needs of the rural communities of the sector from their development perspectives, respecting their ancestral knowledge and articulating from the academy the private–public action for the generation of policies for governance, effective application of democracy and promotion of the technical and associative potential of the agroecological productive units. The results show regularities in terms of their socioeconomic situation, their mode of action and the impact caused on their productive dynamics by the atomized decisions of local actors in the exercise of governance. These fail to articulate the implementation of policies at the territorial level to the detriment of their effectiveness and efficiency and, therefore, do not bring about substantial changes in their levels of dependence and dynamics of productive activity—diagnostic components that will be used for the formulation of joint multilevel policies.
Looking Up to the Stars. A Call for Action to Save New Zealand’s Dark Skies for Future Generations to Come
Authors: Zielinska-Dabkowska Karolina M. , Xavia Kyra
Published: December 2021

The rapid development of technology coupled with humanity’s desire to reach beyond terra firma, has resulted in more than 60 years of Outer Space activities. Although the exploration of space has provided many advantages and benefits to society so far, including vast, new information that has greatly added to our understanding of our planet and beyond, unfortunately, mankind’s footprint has negative aspects that need to be minimised as much as possible. In recent decades, a major worldwide problem has emerged in regard to the significant increase in light pollution from ground-based illuminations, as well as a lack of proper regulatory frameworks to mitigate the issue in order to protect the night sky and astronomical research. More recently, due to the escalating demand of air space for microsatellites and the rapid development of these new space technologies, as well as unmanned aerial vehicles (UAV), a new problem has arisen connected to visual light pollution (VLP). New Zealand has been especially affected, as, because of its dark skies, it has the third highest number of astronomical observatories in the world. The aim of this research is to identify critical areas for broader investigation; an action plan to improve the impact of new technologies is urgently required, not only at a national level but also worldwide. This is crucial in order to preserve humanity’s right to access the night sky and to also enable continual professional and amateur night-time observations for the present and the future, as well as for New Zealand to become a Dark Sky Nation.
Sustaining Inclusive, Quality Education during COVID-19 Lockdowns
Authors: Withers John Dermott Alexander , Sik-Lanyi Cecilia
Published: December 2021

With the sudden emergence of the COVID-19 pandemic forcing countries to close schools, the education of students worldwide had become a major challenge. Schools were forced to switch to online education, as that proved to be the only feasible option considering the adverse circumstances. The purpose of this research is to facilitate a quick transition to distance education should another lockdown be implemented. This is achieved by performing a literature review to determine how online education is regarded by students, along with what its advantages and challenges are. A survey has also been administered, with the purpose of assessing the usability of certain web conferencing platforms used in online education. The findings and results indicate an improving attitude towards degrees and courses acquired by online education, whilst also including the pitfalls and challenges teachers currently face during online education. The results of the survey suggest that certain web conferencing platforms appeal to the students more, with Big Blue Button being the platform most respondents rated favourably in the survey. Student feedback indicates that the transition to online education was successful, albeit somewhat challenging.
Personal Energy at Work: A Systematic Review
Authors: Klijn Alexandra Francina Janneke , Tims Maria , Lysova Evgenia I. , Khapova Svetlana N.
Published: December 2021

There has been a significant increase in studies on personal energy at work. Yet, research efforts are fragmented, given that scholars employ a diversity of related concepts. To bring clarity, we executed a two-fold systematic literature review. We crafted a definition of personal energy at work and a theoretical framework, outlining the dimensions, antecedents and boundary conditions. The theoretical implication of the framework is that it allows one to explain why—given similar work—some employees feel energized whereas others do not. The difference depends on the context that the employer offers, the personal characteristics of employees and the processes of strain and recovery. The paper concludes with a discussion of how future research can build on the proposed framework to advance the theoretical depth and empirical investigation of personal energy at work.