bluuebunny/crossref_metadata_2025 huggingface dataset:
Will Plant Genome Editing Play a Decisive Role in “Quantum-Leap” Improvements in Crop Yield to Feed an Increasing Global Human Population?
Authors: Buzdin Anton V. , Patrushev Maxim V. , Sverdlov Eugene D.
Published: August 2021

Growing scientific evidence demonstrates unprecedented planetary-scale human impacts on the Earth’s system with a predicted threat to the existence of the terrestrial biosphere due to population increase, resource depletion, and pollution. Food systems account for 21–34% of global carbon dioxide (CO2) emissions. Over the past half-century, water and land-use changes have significantly impacted ecosystems, biogeochemical cycles, biodiversity, and climate. At the same time, food production is falling behind consumption, and global grain reserves are shrinking. Some predictions suggest that crop yields must approximately double by 2050 to adequately feed an increasing global population without a large expansion of crop area. To achieve this, “quantum-leap” improvements in crop cultivar productivity are needed within very narrow planetary boundaries of permissible environmental perturbations. Strategies for such a “quantum-leap” include mutation breeding and genetic engineering of known crop genome sequences. Synthetic biology makes it possible to synthesize DNA fragments of any desired sequence, and modern bioinformatics tools may hopefully provide an efficient way to identify targets for directed modification of selected genes responsible for known important agronomic traits. CRISPR/Cas9 is a new technology for incorporating seamless directed modifications into genomes; it is being widely investigated for its potential to enhance the efficiency of crop production. We consider the optimism associated with the new genetic technologies in terms of the complexity of most agronomic traits, especially crop yield potential (Yp) limits. We also discuss the possible directions of overcoming these limits and alternative ways of providing humanity with food without transgressing planetary boundaries. In conclusion, we support the long-debated idea that new technologies are unlikely to provide a rapidly growing population with significantly increased crop yield. Instead, we suggest that delicately balanced humane measures to limit its growth and the amount of food consumed per capita are highly desirable for the foreseeable future.
The Protective Effect of Adenocaulon himalaicum Edgew. and Its Bioactive Compound Neochlorogenic Acid against UVB-Induced Skin Damage in Human Dermal Fibroblasts and Epidermal Keratinocytes
Authors: Ahn Hye Shin , Kim Hyun Jae , Na Changseon , Jang Dae Sik , Shin Yu-Kyong , Lee Sun Hee
Published: August 2021

Skin aging induced by ultraviolet (UV) irradiation increases expression of matrix metalloproteinase-1 (MMP-1) and destroys collagen fibers, as a result accelerating wrinkle formation. Natural products have been received scientific attention as utilized agents against photoaging. The aim of this study was to investigate the protective effect of Adenocaulon himalaicum Edgew. extract (AHE) against ultraviolet B (UVB)-induced skin damage, and to explain the underlying mechanisms in human dermal fibroblasts and epidermal keratinocytes. AHE effectively protects skin photoaging by preventing collagen degradation through MMP-1 inhibition via the MAPK/AP-1 signaling pathway. AHE significantly increased the expression of skin hydration factors, such as filaggrin, involucrin, loricrin, and caspase-14. To find how AHE possesses a direct impact on cellular activities, we identified neochlorogenic acid as a bioactive component of AHE for the first time. Neochlorogenic acid showed the anti-photoaging effect through ameliorating UVB-induced collagen degradation, reinforcing the skin barrier. Like the AHE-regulating mechanism, neochlorogenic acid modulates the MAPK/AP-1 signaling pathway and skin hydration factors. Taken together, these results suggest that AHE and neochlorogenic acid are well-qualified candidate for enhancing the conditions of photoaged skin.
Erratum: Basik et al. Microbial Degradation of Rubber: Actinobacteria. Polymers 2021, 13, 1989
Authors: Basik Ann Anni , Sanglier Jean-Jacques , Yeo Chia Tiong , Sudesh Kumar
Published: August 2021

The authors wish to make the following changes to the published paper [...]
Rheology of Highly Concentrated Suspensions with a Bimodal Size Distribution of Solid Particles for Powder Injection Molding
Authors: Mityukov Anton , Govorov Vitaly , Malkin Alexander , Kulichikhin Valery
Published: August 2021

Powder injection molding (PIM) is one of the modern and prospective technologies in processing different materials. We proposed to use bimodal compositions of particles for increasing their content in the final products. A set of model suspension of Al with low-molecular-weight poly (ethylene glycol) as a binder based on theoretical arguments concerning the filling capacity of bimodal suspensions was prepared. Studying the rheological properties of these compositions showed that they demonstrate elasto-viscous behavior with significant plasticity that is favorable for the technological process. Using compositions with bimodal distributions allows for increasing the content of the solid phase up to 75 vol. % for PIM technology, which is significantly higher than the standard practical limit. This rheological approach developed for model formulations was applied to processing compositions containing aluminum oxide as typical ceramics and polyolefines as a binder widely used in technological practice. The obtained sintered ceramic samples have quite acceptable mechanical properties of the usual corundum articles.
A Preliminary Life Cycle Analysis of Bioethanol Production Using Seawater in a Coastal Biorefinery Setting
Authors: Zaky Abdelrahman S. , Carter Claudia E. , Meng Fanran , French Christopher E.
Published: August 2021

Bioethanol has many environmental and practical benefits as a transportation fuel. It is one of the best alternatives to replace fossil fuels due to its liquid nature, which is similar to the gasoline and diesel fuels traditionally used in transportation. In addition, bioethanol production technology has the capacity for negative carbon emissions, which is vital for solving the current global warming dilemma. However, conventional bioethanol production takes place based on an inland site and relies on freshwater and edible crops (or land suitable for edible crop production) for production, which has led to the food vs. fuel debate. Establishing a coastal marine biorefinery (CMB) system for bioethanol production that is based on coastal sites and relies on marine resources (seawater, marine biomass and marine yeast) could be the ultimate solution. In this paper, we aim to evaluate the environmental impact of using seawater for bioethanol production at coastal locations as a step toward the evaluation of a CMB system. Hence, a life cycle assessment for bioethanol production was conducted using the proposed scenario, named Coastal Seawater, and compared to the conventional scenario, named Inland Freshwater (IF). The impact of each scenario in relation to climate change, water depletion, land use and fossil depletion was studied for comparison. The Coastal Seawater scenario demonstrated an improvement upon the conventional scenario in all the selected impact categories. In particular, the use of seawater in the process had a significant effect on water depletion, showing an impact reduction of 31.2%. Furthermore, reductions were demonstrated in natural land transformation, climate change and fossil depletion of 5.5%, 3.5% and 4.2%, respectively. This indicates the positive impact of using seawater and coastal locations for bioethanol production and encourages research to investigate the CMB system.
Publisher’s Note: Rheumato—A New Open Access Journal
Authors: Aunós Clàudia
Published: August 2021

As one of the top four scholarly journal publishers in the world [...]
Super Edge 4-Points Congruent Sets-Based Point Cloud Global Registration
Authors: Li Shikun , Lu Ruodan , Liu Jianya , Guo Liang
Published: August 2021

With the acceleration in three-dimensional (3D) high-frame-rate sensing technologies, dense point clouds collected from multiple standpoints pose a great challenge for the accuracy and efficiency of registration. The combination of coarse registration and fine registration has been extensively promoted. Unlike the requirement of small movements between scan pairs in fine registration, coarse registration can match scans with arbitrary initial poses. The state-of-the-art coarse methods, Super 4-Points Congruent Sets algorithm based on the 4-Points Congruent Sets, improves the speed of registration to a linear order via smart indexing. However, the lack of reduction in the scale of original point clouds limits the application. Besides, the coplanarity of registration bases prevents further reduction of search space. This paper proposes a novel registration method called the Super Edge 4-Points Congruent Sets to address the above problems. The proposed algorithm follows a three-step procedure, including boundary segmentation, overlapping regions extraction, and bases selection. Firstly, an improved method based on vector angle is used to segment the original point clouds aiming to thin out the scale of the initial point clouds. Furthermore, overlapping regions extraction is executed to find out the overlapping regions on the contour. Finally, the proposed method selects registration bases conforming to the distance constraints from the candidate set without consideration about coplanarity. Experiments on various datasets with different characteristics have demonstrated that the average time complexity of the proposed algorithm is improved by 89.76%, and the accuracy is improved by 5 mm on average than the Super 4-Points Congruent Sets algorithm. More encouragingly, the experimental results show that the proposed algorithm can be applied to various restrictive cases, such as few overlapping regions and massive noise. Therefore, the algorithm proposed in this paper is a faster and more robust method than Super 4-Points Congruent Sets under the guarantee of the promised quality.
Real-Time Estimation of GPS-BDS Inter-System Biases: An Improved Particle Swarm Optimization Algorithm
Authors: Zhao Wenhao , Liu Genyou , Wang Shengliang , Gao Ming , Lv Dong
Published: August 2021

The restart of the receiver will lead to the change in the non-overlapping frequency inter-system biases (ISB), which will make it difficult to apply the tightly combined RTK method of pre-calibrating ISB to the actual scene. Particle swarm optimization (PSO) algorithm can be used to estimate the fractional part of the inter-system phase bias (F-ISPB) in real time, which is not affected by the receiver restart. However, the standard PSO can easily fall into local optimum and cannot accurately estimate the value of F-ISPB. In this contribution, based on the characteristics of F-ISPB, we propose an improved PSO with adaptive search space and elite reservation strategy to estimate the F-ISPB in real time. When the value of F-ISPB is close to the boundary of the search space, the improved PSO will transform the search space so that F-ISPB will be located near the central region of the new search space, which will greatly reduce the situation of the standard PSO easily falling into local optimum. Since F-ISPB is very stable, an elite retention strategy will help us to estimate F-ISPB faster and more accurately. Three sets of short baseline static data were selected for testing. The results show that the inter-system differenced model based on the improved PSO has a higher ambiguity fixed rate and positioning accuracy than the inter-system differenced model based on the standard PSO and the classical intra-system differenced model, and the fewer the number of satellites, the more obvious the effect.
Towards Urban Scene Semantic Segmentation with Deep Learning from LiDAR Point Clouds: A Case Study in Baden-Württemberg, Germany
Authors: Zou Yanling , Weinacker Holger , Koch Barbara
Published: August 2021

An accurate understanding of urban objects is critical for urban modeling, intelligent infrastructure planning and city management. The semantic segmentation of light detection and ranging (LiDAR) point clouds is a fundamental approach for urban scene analysis. Over the last years, several methods have been developed to segment urban furniture with point clouds. However, the traditional processing of large amounts of spatial data has become increasingly costly, both time-wise and financially. Recently, deep learning (DL) techniques have been increasingly used for 3D segmentation tasks. Yet, most of these deep neural networks (DNNs) were conducted on benchmarks. It is, therefore, arguable whether DL approaches can achieve the state-of-the-art performance of 3D point clouds segmentation in real-life scenarios. In this research, we apply an adapted DNN (ARandLA-Net) to directly process large-scale point clouds. In particular, we develop a new paradigm for training and validation, which presents a typical urban scene in central Europe (Munzingen, Freiburg, Baden-Württemberg, Germany). Our dataset consists of nearly 390 million dense points acquired by Mobile Laser Scanning (MLS), which has a rather larger quantity of sample points in comparison to existing datasets and includes meaningful object categories that are particular to applications for smart cities and urban planning. We further assess the DNN on our dataset and investigate a number of key challenges from varying aspects, such as data preparation strategies, the advantage of color information and the unbalanced class distribution in the real world. The final segmentation model achieved a mean Intersection-over-Union (mIoU) score of 54.4% and an overall accuracy score of 83.9%. Our experiments indicated that different data preparation strategies influenced the model performance. Additional RGB information yielded an approximately 4% higher mIoU score. Our results also demonstrate that the use of weighted cross-entropy with inverse square root frequency loss led to better segmentation performance than when other losses were considered.
Wearable Detection of Trunk Flexions: Capacitive Elastomeric Sensors Compared to Inertial Sensors
Authors: Frediani Gabriele , Bocchi Leonardo , Vannetti Federica , Zonfrillo Giovanni , Carpi Federico
Published: August 2021

Continuous monitoring of flexions of the trunk via wearable sensors could help various types of workers to reduce risks associated with incorrect postures and movements. Stretchable piezo-capacitive elastomeric sensors based on dielectric elastomers have recently been described as a wearable, lightweight and cost-effective technology to monitor human kinematics. Their stretching causes an increase of capacitance, which can be related to angular movements. Here, we describe a wearable wireless system to detect flexions of the trunk, based on such sensors. In particular, we present: (i) a comparison of different calibration strategies for the capacitive sensors, using either an accelerometer or a gyroscope as an inclinometer; (ii) a comparison of the capacitive sensors’ performance with those of the accelerometer and gyroscope; to that aim, the three types of sensors were evaluated relative to stereophotogrammetry. Compared to the gyroscope, the capacitive sensors showed a higher accuracy. Compared to the accelerometer, their performance was lower when used as quasi-static inclinometers but also higher in case of highly dynamic accelerations. This makes the capacitive sensors attractive as a complementary, rather than alternative, technology to inertial sensors.
Slow Breathing Exercise with Multimodal Virtual Reality: A Feasibility Study
Authors: Lan Kun-Chan , Li Che-Wei , Cheung Yushing
Published: August 2021

Many studies have shown that slow breathing training is beneficial for human health. However, several factors might discourage beginners from continuing their training. For example, a long training period is generally required for benefit realization, and there is no real-time feedback to trainees to adjust their breathing control strategy. To raise the user’s interest in breathing exercise training, a virtual reality system with multimodal biofeedback is proposed in this work. In our system, a realistic human model of the trainee is provided in virtual reality (VR). At the same time, abdominal movements are sensed, and the breathing rate can be visualized. Being aware of the breathing rate, the trainee can regulate his or her breathing to achieve a slower breathing rate. An additional source of tactile feedback is combined with visual feedback to provide a more immersive experience for the trainees. Finally, the user’s satisfaction with the proposed system is reported through questionnaires. Most of the users find it enjoyable to use such a system for mediation training.
Design and Realization of an UHF Frequency Reconfigurable Antenna for Hybrid Connectivity LPWAN and LEO Satellite Networks
Authors: Bouyedda Abdellatif , Barelaud Bruno , Gineste Laurent
Published: August 2021

UHF satellite communication for Internet of Things (IoT) technology is rapidly emerging in monitoring applications as it offers the possibility of lower-costs and global coverage. At the present time, Low Power Wide Area Network (LPWAN) solutions offer low power consumption, but still suffer from white zones. In this paper, the authors propose an UHF frequency reconfigurable Antenna for hybrid connectivity LoRaWAN (at 868 MHz) and UHF satellite communication (Tx at 401 MHz and Rx at 466 MHz) with the Low Earth Orbit (LEO) Kineis constellation. The antenna is based on a meandered line structure loaded with lumped components and a PIN diode to control the antenna resonant frequencies. It resonates at 401 and 868 MHz when the PIN diode is forward-biased (ON state) and 466 MHz in reverse-biased configuration (OFF state). The antenna is designed inside the enclosure with the presence of all the parts of the connected device. The results of EM simulations and parametric studies on the values of the lumped components and the PIN diode equivalent model, which are obtained with HFSS, are presented. The antenna is prototyped and has dimensions of 78 mm × 88 mm × 1.6 mm. The paper proposes a fast and practical method to reduce time development and compensate the frequency shift between measurement and simulation.
Algorithms for Delivery of Data by Drones in an Isolated Area Divided into Squares
Authors: Deaconu Adrian Marius , Udroiu Razvan , Nanau Corina-Ştefania
Published: August 2021

Drones are frequently used for the delivery of materials or other goods, and to facilitate the capture and transmission of data. Moreover, drone networks have gained significant interest in a number of scenarios, such as in quarantined or isolated areas, following technical damage due to a disaster, or in non-urbanized areas without communication infrastructure. In this context, we propose a network of drones that are able to fly on a map covered by regular polygons, with a well-established mobility schedule, to carry and transfer data. Two means exist to equidistantly cover an area with points, namely, grouping the points into equilateral triangles or squares. In this study, a network of drones that fly in an aerial area divided into squares was proposed and investigated. This network was compared with the case in which the area is divided into equilateral triangles. The cost of the square drone network was lower than that of the triangular network with the same cell length, but the efficiency factors were better for the latter. Two situations related to increasing the drone autonomy using drone charging or battery changing stations were analyzed. This study proposed a Delay Tolerant Network (DTN) to optimize the transmission of data. Multiple simulation studies based on experimental flight tests were performed using the proposed algorithm versus five traditional DTN methods. A light Wi-Fi Arduino development board was used for the data transfer between drones and stations using delivery protocols. The efficiency of data transmission using single-copy and multiple-copy algorithms was analyzed. Simulation results showed a better performance of the proposed Time-Dependent Drone (TD-Drone) Dijkstra algorithm compared with the Epidemic, Spray and Wait, PRoPHET, MaxProp, and MaxDelivery routing protocols.
Progress in Life Cycle Impact Assessment: Water Vapor Emissions and Respiratory Inorganics
Authors: Andrae Anders
Published: August 2021

Life cycle assessment (LCA) is being included formally in EcoDesign regulations. Especially product carbon footprint will be mandatory in Europe. However, life cycle impact assessment, including global warming potential (GWP) in LCA, is hampered by several challenges. One of these is a lack of water vapor characterization indexes for GWP. A life cycle inventory profile for air transport fuel, including water vapor emissions, is evaluated with state-of-the-art practice, i.e., Environmental Footprint (EF) Method and International Life Cycle Data (ILCD) 2011 Mid-point+, neglecting water vapor’s high altitude GWP compared to carbon dioxide. Then, the characterization factor in GWP over 100 years (GWP100) for water vapor and alternate normalization for particulates are introduced. The results are compared. The main findings are that the previous EF method and ILCD both generate rather realistic results for Particulate Matter and Respiratory Inorganics mid-point indicators, respectively, but the number of premature deaths should be better allocated to different specific emissions, and that water vapor may dominate the GWP100 result over the usual carbon dioxide. Respiratory inorganics may need one impact category, each starting with particles smaller than 2.5 µm. LCIA mid-points need measurable and understandable bases. The common knowledge of water vapor’s GWP100 should not be neglected in LCIA for air transport and beyond where relevant.
ICP–MS Analysis of Multi-Elemental Profile of Greek Wines and Their Classification According to Variety, Area and Year of Production
Authors: Pasvanka Konstantina , Kostakis Marios , Tarapoulouzi Maria , Nisianakis Pavlos , Thomaidis Nikolaos S. , Proestos Charalampos
Published: August 2021

Major, minor and trace elements in wines from Greece were determined by inductively coupled plasma–mass spectrometry (ICP–MS). The concentrations of 44 elements (Na, Mg, P, K, Ca, Cu, Co, Cr, Zn, Sn, Fe, Mn, Li, Be, B, V, Sr, Ba, Al, Ag, Ni, As, Sn, Hg, Pb, Sb, Cd, Ti, Ga, Zr, Nb, Pd, Te, La, Sm, Ho, Tm, Yb, W, Os, Au, Tl, Th, U) in 90 white and red wines from six different regions in Greece for two consecutive vinification years, 2017 and 2018, were determined. Results for the elements aforementioned were evaluated by multivariate statistical methods, such as discriminant analysis and cluster analysis, and the wines were discriminated according to wine variety and geographical origin. Due to the specific choice of the analytes for multivariate statistical investigation, a prediction rate by cross-validation of 98% could be achieved. The aim of this study was not only to reveal specific relationships between the wine samples or between the chemical variables in order to classify the wines from different regions and varieties according to their elemental profile (wine authentication), but also to observe the annual fluctuation in the mineral content of the studied wine samples.
Negotiating Multiple Identities of Brazilian Paralympians
Authors: Kirakosyan Lyusyena
Published: August 2021

In this article, I draw on the personal narratives of 41 Brazilian Paralympic athletes who competed in the 2016 Rio Paralympic Games to explore their multiple identities shaped within and outside sport and how they negotiated those self-representations. Parathletes’ narratives gave a sense of who they are, how they live their lives, and what their struggles, hopes, and aspirations are within and outside sport. The available studies in disability sport and the representation of disabled athletes have largely failed to examine the stories of these individuals and address their unique realities and perspectives. Five major themes emerged from the interview analysis regarding the parathletes’ self-representation: athletic identity, gender identity, disability identity, national identity, and activist identity. These accounts also revealed how these individuals negotiated their multiple identities in different settings and the tensions they experienced in their social interactions. The Rio Paralympics presented such a new interaction setting for the Brazilian parathletes who competed on such a grand scale at home for the first time and provided multiple examples in the athletes’ accounts of their identities.
Enhancing Planning Behavior during Retirement: Effects of a Time Perspective Based Training Intervention
Authors: Mooney Anna , Tsotsoros Cindy E. , Earl Joanne K. , Hershey Douglas A. , Mooney Carl H.
Published: August 2021

Time perspective is a psychological construct that reflects the way people view time. Two schools of thought exist that theorize how this temporal mindset affects behavior—dominant and balanced. We applied dominant and balanced time perspective frameworks separately to two versions of an online intervention that aimed to promote goal-setting and accumulation of essential retirement resources (health, physical, social, cognitive and emotional) and compared effects with a control group. The effectiveness of the intervention was tested with 109 US retirees using a 4-wave design over a 6-month period. Linear mixed models showed an increase in health goal striving for the balanced group at posttraining and gains were maintained at the 3-month time point. Both training groups demonstrated an increase in the number and specificity of goals at posttraining and 3-months. Applying a time perspective framework to an online planning intervention for retirees shows promise in promoting planning for retirement resources. Practical implications, limitations, and suggestions for developing future interventions are discussed.
The Need to Accurately Define and Measure the Properties of Particles
Authors: Deng Yimin , Dewil Raf , Appels Lise , Zhang Huili , Li Shuo , Baeyens Jan
Published: August 2021

When dealing with powders, a fundamental knowledge of their physical parameters is indispensable, with different methods and approaches proposed in literature. Results obtained differ widely and it is important to define standards to be applied, both toward the methods of investigation and the interpretation of experimental results. The present research intends to propose such standards, while defining general rules to be respected. Firstly, the problem of defining the particle size is inspected. It was found that describing the size of a particle is not as straightforward as one might suspect. Factors of non-sphericity and size distributions make it impossible to put ‘size’ in just one number. Whereas sieving can be used for coarser particles of a size in excess of about 50 µm, instrumental techniques span a wide size range. For fine particles, the occurrence of cohesive forces needs to be overcome and solvents, dispersants and sample mixing need to be applied. Secondly, the shape of the particles is examined. By defining sphericity, irregularly shaped particles are described. Finally, the density of particles, of particle assemblies and their voidage (volume fraction of voids) and the different ways to investigate them are explored.
Carbon-Neutral-Campus Building: Design Versus Retrofitting of Two University Zero Energy Buildings in Europe and in the United States
Authors: Del Borghi Adriana , Spiegelhalter Thomas , Moreschi Luca , Gallo Michela
Published: August 2021

Carbon-neutral design is pivotal for achieving the future energy performance targets of buildings. This paper shows research projects that promote the environmental sustainability of university campuses at the international level. GHG accounting methods and operational strategies adopted by the University of Genoa (UNIGE), Italy, and the Florida International University (FIU) in Miami, USA, are compared, with both universities striving to make buildings and campus facilities benchmarked and carbon neutral in the near future. Our comparative research includes analyzing campus buildings at both universities and their attempts to design, retrofit, and transform these buildings into carbon neutral buildings. Two case studies were discussed: the Smart Energy Building (SEB) in the Savona Campus of the UNIGE, and the Paul L. Cejas School of Architecture (PCA) Building of the FIU. The SEB’s construction reduced emissions by about 86 tCO2/y, whereas the PCA’s retrofitting reduced GHG emissions by 30%. Other operational strategies, including energy efficiency and energy generation, allowed the UNIGE to reduce their overall Scope 1 + 2 GHG emissions by 25% from 2013 to 2016. Globally, FIU Scope 1 + 2 GHG emissions per person were found to result in more than three times the UNIGE’s emissions, and 2.4 times if evaluated per square meter. The results were compared with GHG emissions and operational strategies from other universities.
The Moderator Role of Financial Well-Being on the Effect of Job Insecurity and the COVID-19 Anxiety on Burnout: A Research on Hotel-Sector Employees in Crisis
Authors: Üngüren Engin , Tekin Ömer Akgün , Avsallı Hüseyin , Kaçmaz Yaşar Yiğit
Published: August 2021

During the coronavirus disease 2019 (COVID-19) pandemic, which is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), hotel-sector employees attempted to cope with the fear of becoming infected; however, they were also faced with job insecurity. Both the anxiety over COVID-19 and the risk of job insecurity have affected the employees’ economic and social conditions as well as their mental state. The present study examined the effect of COVID-19 anxiety and job insecurity perceptions on the burnout levels of hotel-sector employees and the moderator role of the employees’ financial well-being on this relationship. The study was conducted by collecting data from 396 participants who worked in 17 different five-star hotels in Antalya, Turkey. Because of social isolation and social distancing rules, our research data were obtained using an online questionnaire to avoid close contact with other people. The findings showed that COVID-19 anxiety and perceptions of job insecurity had negative effects on hotel employees in the form of mental burnout. In addition, we determined that as an individual characteristic, financial well-being was a moderator variable that affected the severity of burnout based on COVID-19 anxiety and job insecurity. The research findings exhibited theoretical and practical contributions for decision makers and researchers.
The Samcheong Hanok and the Evolution of the Traditional Korean House
Authors: Lee Yong-Hee , Kim Hyon-Sob
Published: August 2021

The hanok or traditional Korean house has evolved to meet modern conditions that are continually updated. The “Samcheong Hanok” located in Bukchon, the most representative hanok village in Seoul, is a typical example. The house was originally constructed around 1940 but underwent several stages of extension and repairs before finally being renovated by architect Wook Choi in 2000. It is arguable that the evolution of the Samcheong Hanok illustrates a typical history of modern hanok, which is characterized as two types according to certain periods. The first is the urban-type hanok, built approximately between 1930 and 1960, which is a standardized version that was mass-produced for anonymous clients by a developer. The second, introduced around 2000, is the contemporary hanok, an individualized and tailor-made version built for a specific client in general. Based on analysis and integration of Bukchon’s historical context and Samcheong Hanok’s records, this paper aims to trace and reconstruct a plausible history of the house to illustrate the typical historical aspects of modern hanok—urban-type and contemporary. In the conclusion, after revealing the rigidity of the current hanok support system, several suggestions for a creative evolution of hanok are offered.
Agro-Industrial Symbiosis and Alternative Heating Systems for Decreasing the Global Warming Potential of Greenhouse Production
Authors: Marttila Miika P. , Uusitalo Ville , Linnanen Lassi , Mikkilä Mirja H.
Published: August 2021

Greenhouses require large amounts of energy, which is the dominant factor making greenhouses more emission intensive than open-field cultivation. Alternative heating systems, such as combined heat and power (CHP), biogas, and industrial waste heat, are continuously being researched for reducing the environmental impacts of greenhouses. This paper assesses utilizing industrial waste heat and CO2 enrichment in greenhouses as an example to propose “agro-industrial symbiosis” (AIS), to refer to a symbiotic co-operation between agricultural and industrial partners. The global warming potentials (GWPs) of greenhouse production using different heating systems are inadequately compared in the literature, which is the research gap addressed herein. Additionally, potential emission reductions of greenhouse production with industrial waste heat are yet to be assessed via lifecycle assessment (LCA). A comparative LCA of Finnish greenhouse tomato and cucumber production using various heating systems was conducted. Naturally, replacing fossil fuels with bioenergy and renewables significantly decreases the GWP. CHP systems result in decreased GWP only when using biogas as the energy source. Additionally, utilizing industrial waste heat and CO2 resulted in a low GWP. These results are applicable worldwide to guide political decision-making and clean energy production in the horticultural sector.
Phenomenological Transparency through Depth of “Inside/Outside” for a Sustainable Architectural Environment
Authors: Kang Eunki , Park Eun Joo
Published: August 2021

The potential relationship between external and internal spaces in the architectural environment of the post-pandemic era is emerging as an essential issue. Since the early 20th century, the issue of transparency inside and outside architecture has been explored in various fields. This study is motivated by the lack of a leading theory about architectural transparency in the post-pandemic era. First, it revisits the notion of phenomenal transparency in Colin Rowe and Robert Slutzky’s influential text on “literal” and “phenomenal” transparency. Next, it investigates Maurice Merleau-Ponty’s phenomenology for architectural transparency. Last, it scrutinizes practical possibilities using cases from Sejima and Nishizawa and Associates (SAANA). It finds that intertwining the cognition of natural environment and spatial experiential perceptions can create phenomenological architectural experiences. Sustainable architectural transparency may be accomplished when three factors (the visual perception of space, spatial experiential perceptions, and the cognition of natural environment) are incorporated. Further, depth functions as a medium for architectural transparency, intertwining between material and immaterial, literal and phenomenal, and visible and invisible. There is tremendous potential to conduct pilot studies based on this study, to re-evaluate architectural transparency with phenomenological ideas.
A Systematic Review of Social Media Integration to Teach Speaking
Authors: John Emily , Yunus Melor Md
Published: August 2021

The ubiquitous nature of social media (SM) makes it a very essential tool to use in the world of education, especially with the advent of the COVID-19 pandemic which has led to a paradigm shift in the approaches used in the teaching and learning of English language skills. This review focuses on the use of social media as a medium of instruction to aid the acquisition of speaking skills, which many learners find extremely challenging and inhibiting. Thus, this systematic review investigates the integration of social media in the teaching and learning of speaking skills. To ensure the systematic analysis of the selected articles, Preferred Reporting Items for Systematic review and Meta-Analyses (PRISMA) 2020 guidelines were utilized. A total of 36 peer-reviewed journal articles from the year 2016 to 2021 were accessed from two databases: ERIC and Google Scholar. Prior to the start of the review, an inclusion and exclusion criteria selection process was conducted to ensure the focus of the review. Overall, the articles reviewed presented the claim that the integration of social media is seen as a positive inclusion for the teaching of speaking skills using various social media applications. Findings reveal that there are improvements in speaking skills, as well as confidence to speak and a decline in speaking anxiety. Teachers and educators can now make use of the various social media platforms such as Telegram, Facebook, WhatsApp, and others to provide learners with more practice that is not only restricted to the classroom but has moved beyond it.
Circular Economy Performance Measurement in Manufacturing Firms: A Systematic Literature Review with Insights for Small and Medium Enterprises and New Adopters
Authors: Negri Marta , Neri Alessandra , Cagno Enrico , Monfardini Gabriele
Published: August 2021

The circular economy is a central and increasingly important topic within managerial and academic discourse. Although the circular economy could bring benefits to their performance, manufacturing firms still struggle with its adoption. As an effective adoption should pass for adequate performance measurement, the present study performs a systematic literature review to deepen the knowledge of circular economy performance-measurement systems for manufacturing firms, both from a general perspective and to provide specific insights for small–medium enterprises and new adopters. The results show the lack of an integrated, holistic, and scalable framework for measuring circular economy performance, and only a few and dispersed specific indications for small–medium enterprises and new adopters. Shortcomings of the extant literature are identified in terms of integration of the circular economy’s level, theoretical development and empirical application, characteristics of the indicators proposed, considerations of sustainability, holistic perspectives on industrial systems, and scalability to adapt to firms’ different characteristics. The study paves the way for further research while offering theoretical and practical implications.
Environmental and Social Dynamics of Urban Rooftop Agriculture (URTA) and Their Impacts on Microclimate Change
Authors: Begum Musammat Shahinara , Bala Sujit Kumar , Islam A.K.M. Saiful , Roy Debjit
Published: August 2021

Urban cities are facing the challenges of microclimatic changes with substantially warmer environments and much less access to fresh vegetables for a healthier food supply than in adjacent rural areas. In this respect, urban rooftop agriculture is considered as a green technology for city dwellers and the community to attain environmental and socioeconomic benefits in a city. For this purpose, a roof top of 216 square meters was selected as an experimental plot where 70% of the area was covered with the selected crops (Tomato, Brinjal, Chili, Bottle Gourd and Leafy vegetables such as Spinach, Red Spinach and Water Spinach; they were cultivated under fencing panels of Bottle Gourd). The microclimatic parameters such as air temperature, near roof surface temperature, indoor temperature and relative humidity and carbon dioxide concentration from different locations of the agricultural roof and from nearby bare roofs were observed during the whole experimental period (November 2018–May 2019). Five existing rooftop gardens with green area coverages of 40, 50, 60, 80, and 85% were selected, and 5 bare nearby roofs were also selected through field visits and questionnaire surveys of 200 existing rooftop gardens. The air and ambient temperature, cooling degree day and energy saving trends were assessed for the selected roofs. The economic assessment was carried out through the net present value and internal rate of return approach of urban rooftop agriculutre. The results showed that the temperature was reduced from 1.2 to 5.5% in different area coverages of agricultural roofs with plants compared to the nearest bare roofs. For the time being, the cooling load was decreased from 3.62 to 23.73%, and energy saving was increased significantly from 5.87 to 55.63% for agricultural roofs compared to bare roofs. The study suggested that the value of urban rooftop agriculture was high environmentally and economically compared to the traditional bare roof, which would be an added amenity by the city dweller’s individual motivations and state interests, and it could be aligned to achieve a more sustainable city.
The Adverse Impact of Air Pollution on China’s Economic Growth
Authors: Dong Daxin , Xu Boyang , Shen Ning , He Qian
Published: August 2021

This study empirically evaluates the impact of air pollution on China’s economic growth, based on a province-level sample for the period 2002–2017. Air pollution is measured by the concentration of fine particulate matter (PM2.5), and economic growth is measured by the annual growth rate of gross domestic product (GDP) per capita. A panel data fixed-effects regression model is built, and the instrumental variables estimation method is utilized for quantitative analyses. The study reports a significant negative impact of air pollution on the macroeconomic growth of China. According to our instrumental variables estimation, holding other factors constant, if the concentration of PM2.5 increases by 1%, then the GDP per capita growth rate will decline by 0.05818 percentage points. In addition, it is found that the adverse effect of atmospheric pollution is heterogeneous across different regions. The effect is stronger in the eastern region and in provinces with smaller state-owned enterprise shares, fewer governmental expenditures for public health services, and fewer medical resources. The study results reveal that air pollution poses a substantial threat to the sustainable economic growth of China. Taking actions to abate air pollution will generate great economic benefits, especially for those regions which are heavily damaged by pollution.
Sponsorship’s Financial Sustainability for Cultural Conservation and Enhancement Strategies: An Innovative Model for Sponsees and Sponsors
Authors: Dolores Luigi , Macchiaroli Maria , De Mare Gianluigi
Published: August 2021

The topic of the paper is sponsorship for the requalification/conservation of historical-architectural heritage. In the literature, there are many models for evaluating the financial efficiency of sponsorship from the point of view of the sponsor (mostly in the sports field), but none of these jointly support both the sponsor and the sponsee in the selection of financially sustainable cultural sponsorships. Trying to reduce this gap, an innovative model is proposed for estimating the profitability of cultural sponsorship. The model consists of three phases. In the first, which consists of the financial analysis of the investment for the sponsee, the minimum amount that the sponsee can request from the sponsor is established. The second phase analyzes the financial performance of potential sponsors, estimating the optimal sponsorship budget that maximizes profits. In the final phase, where the results of the two analyses are compared, the sponsee eventually reformulates his offer and decides which company to sign the contract with. The model is tested through a case study: the sponsorship of the restoration of the Don Tullio Fountain in Salerno (Italy). It is assumed that two companies are interested in sponsorship. The results show that the investment is financially sustainable for both companies.
Planning for Urban Social Sustainability: Towards a Human-Centred Operational Approach
Authors: Janssen Céline , Daamen Tom A. , Verdaas Co
Published: August 2021

In Europe, growing concerns about social segregation and social stability have pushed calls to make cities ‘inclusive, safe, resilient and sustainable’ higher on policy agendas. However, how to approach such generic policy objectives and operationalise them for planning practices is still largely unclear. This article makes a conceptual contribution to the operational understanding of social sustainability in urban planning practices. The article argues that, between theoretical concept and operational forms, different evaluative approaches towards social sustainability may be taken. Evaluating three dimensions of policy operationalisations in The Netherlands, we argue that Amartya Sen’s capability approach provides a promising conceptual framework for operationalising social sustainability in cities in Europe and beyond. We compare capabilities with a more commonly applied resource-based conception to show that the former is more accurate and potentially more effective, because it shifts the evaluative space of social sustainability from means (i.e., urban resources) to ends: the eventual well-being of urban citizens.
A Quest for Livelihood Sustainability? Patterns, Motives and Determinants of Non-Farm Income Diversification among Agricultural Households in Punjab, Pakistan
Authors: Iqbal Muhammad Amjed , Rizwan Muhammad , Abbas Azhar , Makhdum Muhammad Sohail Amjad , Kousar Rakhshanda , Nazam Muhammad , Samie Abdus , Nadeem Nasir
Published: August 2021

Many farmers worldwide resort to choosing various income-earning options for diversifying their income sources as a means of risk-avoidance, social protection, and, above all, to finance agricultural operations. Non-farm income generation among farm families has become an imperative part of livelihood earning strategies in recent years amid fast-evolving climatic and sociodemographic changes. In this regard, this study seeks to identify the patterns and socioeconomic factors responsible for the uptake of various non-farm income diversification sources among agricultural households in southern Punjab, Pakistan. For this purpose, a total of 290 farm households were sampled using a random sampling technique to collect relevant data through structured questionnaires. Results show that approximately 79% of the surveyed farmers were involved in non-farm income generation activities, whereas, the income from these sources accounts for about 15% of total household income. The majority of the respondents offered labour for off-farm work followed by self-employment ventures. The major reason to pursue non-farm work includes low income from agriculture, mitigating risks associated with farming, and acquiring funds to finance farming operations, along with the desire to increase family income. A range of socioeconomic and infrastructure-related variables are associated with the decision to participate in specific off-farm activity, such as age, education, family size, farm income, dependency burden, farming experience, and distance to the main city. Results imply the provision of technical support to increase livelihood from farming operations to ensure food security and curb rural-urban migration. However, vocational training can enhance the rural inhabitants’ skillset to diversify on the farm through agribusiness development within rural areas, enabling them to employ local people instead of populating urban centres.