bluuebunny/crossref_metadata_2025 huggingface dataset:
Surface Displacements Mechanism of the Dobi Graben from ASAR Time-Series Analysis of InSAR: Implications for the Tectonic Setting in the Central Afar Depression, Ethiopia
Authors: Demissie Zelalem S. , Rimmington Glyn
Published: April 2022

The Dobi graben is a Quaternary, NW-trending continental rift found within the East-Central Block (ECB) of the Afar Depression (AD) in Ethiopia. The AD might be the only place where three active rifts meet on land. This diffused, Rift–Rift–Rift (RRR) triple junction in the ECB comprises the overlap zone between the Red Sea and the Gulf of Aden propagators. Rifting is ongoing in the Dobi graben as evidenced by the August 1989 earthquakes (of magnitude 5.7 < MW < 6.2). This study carried out a surface displacement time-series analysis to examine the kinematics of the Dobi graben and the surrounding area using 18 ascending orbit scenes (between May 2005 and March 2010) along tract 257 and 15 along the descending orbit (tract 006) of the Advanced Synthetic Aperture Radar (ASAR), C-band (λ = 5.6 cm) acquired by the ENVIronmental SATellite (ENVISAT). We utilized the Small Baseline Algorithm (SBA) techniques of the distributed scatterer, which were implemented independently to generate Line of Sight (LOS) displacement maps. These LOS displacement surface movements, identified in both geometries, can be interpreted as ± signs of predominantly vertical movement in both geometries: positive for uplifting and negative for subsidence. Additionally, opposite signs of ± horizontal movement in both geometries indicate that the movement is from East to West (or vice versa). Results from the velocity and displacement maps and time series analysis suggest that creeping is associated mainly with normal faulting and could be the primary mechanism for strain distribution for the Southeastern part of the Dobi graben. The anomalous, continuous uplifting exhibited at the rift shoulder and in the horst area might be linked to the presence of temporary reactivation of normal faulting in the region. The oblique, positive LOS signals observed in different parts of the Dobi graben might serve as a proxy for understanding how strain is accommodated as normal faulting and is distributed in a distinct northeast direction. This explanation supports both the arguments for the Northeast migration of the triple junction and the transfer of strain from the southernmost Red Sea Rift (RSR) to the Central AD.
Design of an FPGA-Based High-Quality Real-Time Autonomous Dehazing System
Authors: Lee Seungmin , Ngo Dat , Kang Bongsoon
Published: April 2022

Image dehazing, as a common solution to weather-related degradation, holds great promise for photography, computer vision, and remote sensing applications. Diverse approaches have been proposed throughout decades of development, and deep-learning-based methods are currently predominant. Despite excellent performance, such computationally intensive methods as these recent advances amount to overkill, because image dehazing is solely a preprocessing step. In this paper, we utilize an autonomous image dehazing algorithm to analyze a non-deep dehazing approach. After that, we present a corresponding FPGA design for high-quality real-time vision systems. We also conduct extensive experiments to verify the efficacy of the proposed design across different facets. Finally, we introduce a method for synthesizing cloudy images (loosely referred to as hazy images) to facilitate future aerial surveillance research.
RelationRS: Relationship Representation Network for Object Detection in Aerial Images
Authors: Liu Zhiming , Zhang Xuefei , Liu Chongyang , Wang Hao , Sun Chao , Li Bin , Huang Pu , Li Qingjun , Liu Yu , Kuang Haipeng , Xiu Jihong
Published: April 2022

Object detection is a basic and important task in the field of aerial image processing and has gained much attention in computer vision. However, previous aerial image object-detection approaches have insufficient use of scene semantic information between different regions of large-scale aerial images. In addition, complex background and scale changes make it difficult to improve detection accuracy. To address these issues, we propose a relationship representation network for object detection in aerial images (RelationRS): (1) Firstly, multi-scale features are fused and enhanced by a dual relationship module (DRM) with conditional convolution. The dual relationship module learns the potential relationship between features of different scales and learns the relationship between different scenes from different patches in a same iteration. In addition, the dual relationship module dynamically generates parameters to guide the fusion of multi-scale features. (2) Secondly, the bridging visual representations module (BVR) is introduced into the field of aerial images to improve the object detection effect in images with complex backgrounds. Experiments with a publicly available object detection dataset for aerial images demonstrate that the proposed RelationRS achieves a state-of-the-art detection performance.
Brain MRI Analysis for Alzheimer’s Disease Diagnosis Using CNN-Based Feature Extraction and Machine Learning
Authors: AlSaeed Duaa , Omar Samar Fouad
Published: April 2022

Alzheimer’s disease is the most common form of dementia and the fifth-leading cause of death among people over the age of 65. In addition, based on official records, cases of death from Alzheimer’s disease have increased significantly. Hence, early diagnosis of Alzheimer’s disease can increase patients’ survival rates. Machine learning methods on magnetic resonance imaging have been used in the diagnosis of Alzheimer’s disease to accelerate the diagnosis process and assist physicians. However, in conventional machine learning techniques, using handcrafted feature extraction methods on MRI images is complicated, requiring the involvement of an expert user. Therefore, implementing deep learning as an automatic feature extraction method could minimize the need for feature extraction and automate the process. In this study, we propose a pre-trained CNN deep learning model ResNet50 as an automatic feature extraction method for diagnosing Alzheimer’s disease using MRI images. Then, the performance of a CNN with conventional Softmax, SVM, and RF evaluated using different metric measures such as accuracy. The result showed that our model outperformed other state-of-the-art models by achieving the higher accuracy, with an accuracy range of 85.7% to 99% for models with MRI ADNI dataset.
ELECTRIcity: An Efficient Transformer for Non-Intrusive Load Monitoring
Authors: Sykiotis Stavros , Kaselimi Maria , Doulamis Anastasios , Doulamis Nikolaos
Published: April 2022

Non-Intrusive Load Monitoring (NILM) describes the process of inferring the consumption pattern of appliances by only having access to the aggregated household signal. Sequence-to-sequence deep learning models have been firmly established as state-of-the-art approaches for NILM, in an attempt to identify the pattern of the appliance power consumption signal into the aggregated power signal. Exceeding the limitations of recurrent models that have been widely used in sequential modeling, this paper proposes a transformer-based architecture for NILM. Our approach, called ELECTRIcity, utilizes transformer layers to accurately estimate the power signal of domestic appliances by relying entirely on attention mechanisms to extract global dependencies between the aggregate and the domestic appliance signals. Another additive value of the proposed model is that ELECTRIcity works with minimal dataset pre-processing and without requiring data balancing. Furthermore, ELECTRIcity introduces an efficient training routine compared to other traditional transformer-based architectures. According to this routine, ELECTRIcity splits model training into unsupervised pre-training and downstream task fine-tuning, which yields performance increases in both predictive accuracy and training time decrease. Experimental results indicate ELECTRIcity’s superiority compared to several state-of-the-art methods.
Design and Test of a High-Performance Wireless Sensor Network for Irradiance Monitoring
Authors: Espinosa-Gavira Manuel Jesús , Agüera-Pérez Agustín , Sierra-Fernández José María , González de-la-Rosa Juan José , Palomares-Salas José Carlos , Florencias-Oliveros Olivia
Published: April 2022

Cloud-induced photovoltaic variability can affect grid stability and power quality, especially in electricity systems with high penetration levels. The availability of irradiance field forecasts in the scale of seconds and meters is fundamental for an adequate control of photovoltaic systems in order to minimize their impact on distribution networks. Irradiance sensor networks have proved to be efficient tools for supporting these forecasts, but the costs of monitoring systems with the required specifications are economically justified only for large plants and research purposes. This study deals with the design and test of a wireless irradiance sensor network as an adaptable operational solution for photovoltaic systems capable of meeting the measurement specifications necessary for capturing the clouds passage. The network was based on WiFi, comprised 16 pyranometers, and proved to be stable at sampling periods up to 25 ms, providing detailed spatial representations of the irradiance field and its evolution. As a result, the developed network was capable of achieving comparable specifications to research wired irradiance monitoring network with the advantages in costs and flexibility of the wireless technology, thus constituting a valuable tool for supporting nowcasting systems for photovoltaic management and control.
Chlorophyll-a Pigment Measurement of Spirulina in Algal Growth Monitoring Using Portable Pulsed LED Fluorescence Lidar System
Authors: Cadondon Jumar G. , Ong Prane Mariel B. , Vallar Edgar A. , Shiina Tatsuo , Galvez Maria Cecilia D.
Published: April 2022

Chlorophyll-a measurement is important in algal growth and water quality monitoring in natural waters. A portable pulsed LED fluorescence lidar system based on the preliminary algal organic matter and pigments excitation–emission matrix (EEM) of commercialized AZTEC Spirulina powder at varying concentrations was developed. Fluorescence peaks from EEMs showed increasing intensity as the Spirulina concentration increases. Using this information, an LED fluorescence lidar with a wavelength of 385 nm, pulse width of 10 ns, and repetition frequency of 500 kHz was constructed for chlorophyll detection at 680 nm. Turbidity measurements were also conducted at 700 nm emission wavelength at the same excitation wavelength. Range-resolved fluorescence lidar signals from the portable pulsed LED fluorescence lidar system are highly correlated with the standard methods such as optical density at 680 nm (R2 = 0.87), EEM fluorescence chlorophyll-a pigment at 680 nm (R2 = 0.89), and corrected chlorophyll-a concentration (R2 =0.92). The F680/F700 lidar ratio was measured to provide a linear relationship of chlorophyll-a and turbidity in waters. The F680/F700 measurement showed strong correlations with Spirulina concentration (R2 = 0.94), absorbance at 680 nm (R2 = 0.84), EEM chlorophyll-a pigment at 680 nm (R2 = 0.83), and corrected chlorophyll-a concentration (R2 = 0.86). Results revealed that this new technique of chlorophyll-a measurement can be used as an alternative to other standard methods in algal growth monitoring.
Exploring Eye Movement Biometrics in Real-World Activities: A Case Study of Wayfinding
Authors: Liao Hua , Zhao Wendi , Zhang Changbo , Dong Weihua
Published: April 2022

Eye movement biometrics can enable continuous verification for highly secure environments such as financial transactions and defense establishments, as well as a more personalized and tailored experience in gaze-based human–computer interactions. However, there are numerous challenges to recognizing people in real environments using eye movements, such as implicity and stimulus independence. In the instance of wayfinding, this research intends to investigate implicit and stimulus-independent eye movement biometrics in real-world situations. We collected 39 subjects’ eye movement data from real-world wayfinding experiments and derived five sets of eye movement features (the basic statistical, pupillary response, fixation density, fixation semantic and saccade encoding features). We adopted a random forest and performed biometric recognition for both identification and verification scenarios. The best accuracy we obtained in the identification scenario was 78% (equal error rate, EER = 6.3%) with the 10-fold classification and 64% (EER = 12.1%) with the leave-one-route-out classification. The best accuracy we achieved in the verification scenario was 89% (EER = 9.1%). Additionally, we tested performance across the 5 feature sets and 20 time window sizes. The results showed that the verification accuracy was insensitive to the increase in the time window size. These findings are the first indication of the viability of performing implicit and stimulus-independent biometric recognition in real-world settings using wearable eye tracking.
Secured Secret Sharing of QR Codes Based on Nonnegative Matrix Factorization and Regularized Super Resolution Convolutional Neural Network
Authors: Velumani Ramesh , Sudalaimuthu Hariharasitaraman , Choudhary Gaurav , Bama Srinivasan , Jose Maranthiran Victor , Dragoni Nicola
Published: April 2022

Advances in information technology have harnessed the application of Quick Response (QR) codes in day-to-day activities, simplifying information exchange. QR codes are witnessed almost everywhere, on consumables, newspapers, information bulletins, etc. The simplicity of QR code creation and ease of scanning with free software have tremendously influenced their wide usage, and since QR codes place information on an object they are a tool for the IoT. Many healthcare IoT applications are deployed with QR codes for data-labeling and quick transfer of clinical data for rapid diagnosis. However, these codes can be duplicated and tampered with easily, attributed to open- source QR code generators and scanners. This paper presents a novel (n,n) secret-sharing scheme based on Nonnegative Matrix Factorization (NMF) for secured transfer of QR codes as multiple shares and their reconstruction with a regularized Super Resolution Convolutional Neural Network (SRCNN). This scheme is an alternative to the existing polynomial and visual cryptography-based schemes, exploiting NMF in part-based data representation and structural regularized SRCNN to capture the structural elements of the QR code in the super-resolved image. The experimental results and theoretical analyses show that the proposed method is a potential solution for secured exchange of QR codes with different error correction levels. The security of the proposed approach is evaluated with the difficulty in launching security attacks to recover and decode the secret QR code. The experimental results show that an adversary must try 258 additional combinations of shares and perform 3 × 288 additional computations, compared to a representative approach, to compromise the proposed system.
Interlayer Defect Detection in Intra-Ply Hybrid Composite Material (GF/CF) Using a Capacitance-Based Sensor
Authors: Alblalaihid Khalid , Alghamdi Saleh A. , Alburayt Anas , Almutairi Saif H. , Alwahid Ahmed , Abuobaid Meshal , Alkhibari Sabri , Almutairi Khaled S. , Alarifi Ibrahim M.
Published: April 2022

Combining two types of reinforcement fiber in a common matrix may lead to different failure modes such as micro-cracks between the layers when the structure is subjected to lower stress levels. Real-time damage detection should be integrated into the hybrid composite structure to provide structural integrity and mitigate this problem. This paper outlines the working mechanisms and the fabrication of an integrated capacitive sensor in an intra-ply hybrid composite (2 × 2 twill weave). Uniaxial tensile and flexural tests were conducted to characterize the proposed sensor and provide self-sensing functionality (smart structure). The sensitivity and repeatability of the capacitive sensor were measured to be around 1.3 and 185 µΔC/Co, respectively. The results illustrate that onset of damage between layers can be detected by in situ monitoring. It can be seen that the initial damage was detected at the turning point where the relative change in capacitance begins to reduce while the load increases. Finite element modeling was also constructed to analyze the test results and explain the reasons behind the turning point. It was shown that the carbon yarns experienced high transverse shear stress (τxz) in the crimp region, leading to inter-fiber cracks.
Relationship between Self-Reported Neighborhood Safety and Happiness and Life Satisfaction among Women in Low-Middle Income Countries
Authors: Ghose Bishwajit , Etowa Josephine
Published: April 2022

Measures related to subjective well-being such as perceived happiness and life satisfaction are becoming increasingly popular among health researchers due to their strong correlation with longevity and all-cause mortality. Previous studies have focused on the role of environmental safety on female empowerment. However, not much is known about the impact of environmental risk factors such as perceived safety on subjective well-being, especially in the low-middle-income countries (LMICs). The present study aims to investigate the association between self-reported safety and self-reported happiness and life satisfaction among women in selected LMICs in Asia and Africa. Methods: We analyzed cross-sectional data from eleven countries on 186,388 women aged 15–49 years from the sixth round of the Multiple Indicator Cluster Survey. The outcome measures were self-reported happiness and life satisfaction, and their associations with the safety indicators (i.e., feeling unsafe in the neighborhood and at home) were calculated using generalized ordered logit models by adjusting for relevant sociodemographic factors. Results: The highest percentage of feeling very unsafe both in the neighborhood (39.3%) and at home (26.5%) was reported in Iraq, while Tonga had the highest percentage of reporting both feeling very safe in the neighborhood (55.3%) and at home (54.9%). The odds of self-reported worsening life satisfaction were higher among women who reported feeling very unsafe in the neighborhood [OR = 1.43, 95% CI = 1.36,1.50] and at home [OR = 1.13, 95% CI = 1.08,1.19]. Feeling of being very unsafe in the neighborhood [OR = 1.16, 95% CI = 1.10,1.22] and at home [OR = 1.65, 95% CI = 1.57,1.74] also showed strong positive association with self-reported unhappiness. Conclusions: Our findings from eleven LMICs across Asia and Africa indicate that lack of environmental safety may negatively impact subjective well-being among women. Further research is necessary to explore the root causes of insecurity and design intervention programs aiming to promote women’s psychosocial health and well-being.
Generation of Controlled Liquid–Liquid Slug Flow by Interlocking Two Diaphragm Pumps
Authors: Muto Akinori , Abe Hidetaka , Kanki Keita , Fukuda Takashi , Kawasaki Shin-ichiro
Published: April 2022

From the viewpoint of resource and energy-saving, the high extraction rate of alternating liquid–liquid flow (slug flow) is important given that it enables its novel use in extraction. Additionally, a specific extraction rate must be maintained for the practical application of slug flow to chemical extraction. Although slug flow is easily generated, controlling the slug length is difficult. In this study, two diaphragm pumps were interlocked to generate a slug flow. By linking the movement of the diaphragms of the two pumps, we could successfully and efficiently control the slug length, and the interlocking diaphragms could easily control the length of the aqueous and oil phase segments of the slug flow. The lengths of the aqueous and oil phases of the slug flow, which could not be quantitatively controlled, could be expressed in terms of the linear velocity of the liquid, the kinematic viscosity, and the tube diameter using the Reynolds number. This relation aids the extraction equipment design using slug flow. Furthermore, the mass transfer coefficient of extraction obtained using the slug flow generated by the developed device was similar to that obtained by the conventional method of a syringe pump. These results indicate that slug flow can be successfully applied to extraction processes.
Development of a High-Throughput Screening Analysis for 195 Pesticides in Raw Milk by Modified QuEChERS Sample Preparation and Liquid Chromatography Quadrupole Time-of-Flight Mass Spectrometry
Authors: Wu Xingqiang , Tong Kaixuan , Yu Changyou , Hou Shuang , Xie Yujie , Fan Chunlin , Chen Hui , Lu Meiling , Wang Wenwen
Published: April 2022

This study aimed to develop a simple, high-throughput method based on modified QuEChERS (quick, easy, cheap, effective, rugged, and safe) followed by liquid chromatography quadrupole time-of-flight mass spectrometry (LC-Q-TOF/MS) for the rapid determination of multi-class pesticide residues in raw milk. With acidified acetonitrile as the extraction solvent, the raw milk samples were pretreated with the modified QuEChERS method, including extraction, salting-out, freezing, and clean-up processes. The target pesticides were acquired in a positive ion electrospray ionization mode and an All ions MS/MS mode. The developed method was validated, and good performing characteristics were achieved. The screening detection limits (SDL) and limits of quantitation (LOQ) for all the pesticides ranged within 0.1–20 and 0.1–50 μg/kg, respectively. The recoveries of all analytes ranged from 70.0% to 120.0% at three spiked levels (1 × LOQ, 2 × LOQ, and 10 × LOQ), with relative standard deviations less than 20.0%. The coefficient of determination was greater than 0.99 within the calibration linearity range for the detected 195 pesticides. The method proved the simple, rapid, high throughput screening and quantitative analysis of pesticide residues in raw milk.
The Paradox of Brexit and the Consequences of Taking Back Control
Authors: Igwe Paul Agu
Published: April 2022

Memorable events of the 21st century that will be rightly or wrongly be remembered includes the global financial crisis of 2007/08, the election of Mr Donald Trump as President of the United States of America, and Brexit (the United Kingdom (UK) voting to leave the European Union) in 2016. Others include the emergence of the Coronavirus (COVID-19) pandemic, and the war between Russia and Ukraine. Since 2016, Brexit has continued to dominate global politics. Conceptually, this article explores the Brexit dilemma, the formalization of Brexit agreements, and the post-Brexit impact on the economy and society. How did Brexit happen? What are the underlying causes of Brexit? Is Brexit connected to Euroscepticism and populism? By evaluating these contexts, important issues and debates can be reconciled to advance knowledge on Brexit, UK politics, the regional political system, and the rise of populism. This article is currently relevant since it coincides with an obvious upsurge in interest in the post-Brexit Global Britain.
Who Are the Protagonists of History? Exploratory Study on Historical Relevance after Completing Compulsory Secondary Education in Spain
Authors: Rivero Pilar , Navarro-Neri Iñaki , Aso Borja
Published: April 2022

Which historical figures do Spanish students think are relevant after completing their compulsory schooling in the subject of history? The main objective of this research is to discover which four historical figures students choose as the most important in human history after completing their compulsory schooling, and the type of reasons they give to justify their answers. By means of a mixed study, this research involved asking 165 students, aged 16 to 17, which four figures they think are the most relevant in history and why. Based on this statement, a quantitative and qualitative analysis was conducted to explore the students’ discourses justifying their choices using the categories proposed by Partington, Hunt and Lévesque. The results show a clear tendency in students to choose key figures in Spain’s history, such as Christopher Columbus or Francisco Franco, or a prominent person, such as Adolf Hitler, as the most relevant historical figures, who appear in the curriculum in their last year of compulsory secondary education. Lastly, the argumentative approach regarding the level of historical significance focuses primarily on the impact of their actions on a large number of people during their historical moment, with no critical reflection on their long-term impact or consequences.
Prevalence of Early Marriage and Its Underlying Causes in Nepal: A Mixed Methods Study
Authors: Bhattarai Prakash C. , Paudel Deepak R. , Poudel Tikaram , Gautam Suresh , Paudel Prakash K. , Shrestha Milan , Ginting Janes I. , Ghimire Dhruba R.
Published: April 2022

Early marriage is one of the major traditional practices that affects the life of both boys and girls in many different ways. In this context, this research assessed the prevalence of early marriage and derived its underlying causes. Adopting a mixed methods approach, first, the study surveyed a sample of 1350 households of Nepal in which at least a marriage took place within the five years before the survey. Following a survey, secondly, the study explored 30 unique cases of early marriage, and ten among them were studied in more depth through face-to-face interviews. Logistic regression was applied to determine the factors that could influence the prevalence of early marriage. It was then followed by an analysis of the qualitative data. The research findings demonstrate that there is a high prevalence of early marriage (49.6%) among households within Nepal; nevertheless, the overall trend of early marriage is noted at a decreasing trend over the years. Undoubtedly, factors such as the level of education of the family members, the gender of the head of the household, and religion, influence the predisposition to early marriage within Nepal. Early marriage is undeniably a subjective phenomenon; however, such subjectivity is shaped by the socio-economic situation, as well as individual and family values. Thus, among others, the study implied that improving the strategies that promote higher formal schooling could reduce the prevalence of early marriage and thereby result in associated beneficial welfare effects in Nepal.
Planting Density and Geometry Effect on Canopy Development, Forage Yield and Nutritive Value of Sorghum and Annual Legumes Intercropping
Authors: Umesh M. R. , Angadi Sangu , Begna Sultan , Gowda Prasanna
Published: April 2022

Forage sorghum (FS) (Sorghum bicolor L.) is a major forage in crop–livestock production systems. It has low crude protein (CP) and is rich in fiber. Its forage quality can be improved by mixing with legumes rich in CP. Achieving a greater legume contribution to achieve higher CP over monocrops is a challenge for intercropping. Field trials were conducted with lablab (Lablab purpureus L.), pigeon pea (Cajanus cajan L.) and cowpea (Vigna unguiculata), grown with sorghum as mixed 1:1 (sorghum: legumes) and 2:2 (sorghum: legumes) rows. The sorghum plant density was 250,000 and 190,000 plants ha−1. Periodic crop biomass, leaf area index (LAI) and light interception (LI) were measured, together with forage mixture quality at final harvest. The LAI and LI values were greater for lablab and cowpea intercrops in the 1:1 configuration. Legume forage yield contributed up to 10–12% of the total dry matter (DM). A significant improvement in legume biomass was observed for a sorghum population at 190,000 plants ha−1 with paired rows (2:2) of either lablab or cowpea. Sorghum and total forage yields were higher in both 1:1 and 2:2 configurations with 250,000 plants ha−1. The CP concentration of the forage mixture was 62–75 g kg−1 DM. The acid and neutral detergent fibers and the digestibility of the forage mixture were not improved to any great extent. The results suggested that sorghum planted at normal populations with paired rows of lablab or cowpea can improve sorghum–legume intercrop productivity.
Correction: Kara et al. MgO-Based Cementitious Composites for Sustainable and Energy Efficient Building Design. Sustainability 2021, 13, 9188
Authors: Kara Serenay , Erdem Savas , Lezcano Roberto
Published: April 2022

The authors would like to make the following corrections about the published paper [...]
Creating Sustainable Organizations through Knowledge Sharing and Organizational Agility: Empirical Evidence from China
Authors: Marjerison Rob Kim , Andrews Matthew , Kuan George
Published: April 2022

This study explores the relationships among knowledge sharing, adaptability, and performance, and furthermore seeks to address a gap in the existing literature on how those relationships may vary between organizational sectors. Economic sustainability for firms of all sizes and sectors is likely to depend to a large extent on the creation of a sustainable organizational culture built on collaboration, innovation, and adaptability. The importance of knowledge management in developing sustainable and higher functioning organizations is well accepted in the literature. Likewise, the ability of organizations to realize competitive advantage by adapting and responding in a timely manner to changes in the landscape is well supported. Building on previous research, this study further examines how organizations in different sectors may experience that interaction differently. Based on data gathered through 720 online surveys and subjected to empirical analysis, the findings suggest that work groups that are more agile can more readily realize the benefits of a knowledge sharing organization culture. Further, in contrast to the main body of existing literature, the findings indicate that there is little difference in these benefits among organizations operating in different sectors, notably, within the context of mainland China. These findings may be of interest to those with an interest in knowledge sharing, organizational agility, organizational behavior, sustainable organizations, collectivistic cultures, to practitioners with an interest in developing higher functioning organizations, and to social scientists in related research areas such as cultural studies and psychology.
Common Issues and Differences in Motivational Support and the Effects of Rugby for the U-15 and U-16 National Teams
Authors: Mocanu George Danut , Murariu Gabriel , Munteanu Dan
Published: April 2022

This study determines the differences in opinion of U-15 (20 boys) and U-16 (29 boys) rugby players from Romanian national teams, regarding motivational support (MS) and the effects/benefits (EB) of the sport. The evaluation questionnaire (based on 21 items with closed answers and 7 items with free answers) was applied between 29 November 2019 and 13 December 2019. The statistical calculation indicates the absence of significant differences between the groups for most items, with the exception of financial motivation (where the U-16 group has a higher score, p < 0.05) and the usefulness of rugby for the population as a variant of active leisure (where the U-15 group has a higher score). However, U-15 athletes are more motivated by the examples of elite players, have increased involvement in terms of passion in training and competitions, and assign high scores to their relationships with the coach and teammates, while U-16 players are more optimistic about self-perceived skills as the basis of success in rugby. The U-15 team is more confident regarding most of the benefits of a rugby game, and those in the U-16 team have superior values in the context of favorable effects on attitude, as well as a better ability to concentrate at the levels of academics and sports. Masculine characteristics, the uniqueness, and physical contact are the main factors of attraction for rugby. Over 56% of the players practiced or practice other sports and sports games, with contact sports being at the top. A total of 96% of players suffered injuries, with the legs and arms being the most affected, but 25% of the U-15 group also suffered injuries to the head, with the main causes being physical contact with opponents and the superficiality of the warm-up. Workouts associated with physical training are the most difficult to bear, and the U-15 group is more bored with routine and monotony. A higher level of physical training/self-perceived fitness is the main strength of players, followed by technical and tactical knowledge.
Economic Growth in Six ASEAN Countries: Are Energy, Human Capital and Financial Development Playing Major Roles?
Authors: Rahman Mohammad Mafizur , Vu Xuan-Binh (Benjamin) , Nghiem Son
Published: April 2022

This study aims to investigate whether energy consumption, human capital and financial development played an important role in economic growth using a panel dataset of six ASEAN countries over the period 1995–2017. Various econometric techniques—the cross-sectional dependence, panel unit root, panel cointegration, long-run panel estimates, and panel Granger causality tests—are applied. The results of panel data analyses show that all the selected variables positively contribute to the economic growth of the countries. However, all the six ASEAN countries still rely primarily on physical capital and labour for their economic growth. The findings of country-wise tests indicate that there exists a positive relationship between economic growth and financial development in Cambodia, while human capital positively contributes to the economic growth of Indonesia, Malaysia, the Philippines, Thailand and Vietnam. The causality test exhibits unidirectional causality from energy consumption to economic growth and from economic growth to financial development in both the short and long run. The findings suggest that inclusive development strategies that provide the opportunity for all sectors to grow will result in the desirable three e’s of sustainable economic development: equitable, effective and efficient.
Healthy and Entrepreneurial Work Environment for Older Employees and Its Impact on Work Engagement during the COVID-19 Pandemic
Authors: Rožman Maja , Tominc Polona , Crnogaj Katja
Published: April 2022

Managing older employees is a major challenge for companies, especially during COVID-19. Therefore, creating a healthy and entrepreneurial work environment as well as an inclusive culture within organizations is crucial for companies to maintain their sustainable advantage. The main objective of this paper is to develop a multidimensional model of a healthy and entrepreneurial work environment for older employees and determine its impact on their work engagement during COVID-19. Structural equation modeling was used for data analysis. The results show that workplace health promotion, entrepreneurial working conditions, and leadership lead to better well-being of older employees. In addition, entrepreneurial working conditions that promote intergenerational synergy lead to higher work engagement of older employees, especially during the COVID-19 pandemic. For the elderly, the entrepreneurial work environment is therefore particularly important, even though entrepreneurship is mostly attributed to younger men. In addition, older employees’ well-being and the promotion of intergenerational synergy have a positive impact on their work engagement. The results will help companies better manage their older employees, shape their workplace, and increase the sustainable benefits of their businesses during and after the COVID-19 crisis.
The Role and Practice of Geodiversity in Serving Ecosystems in China
Authors: Yu Yun , Yang Jianfeng
Published: April 2022

This paper demonstrates how geodiversity interconnects with the particular ecosystems and practices within China. As an essential component of natural diversity, geodiversity can provide the necessary services and products to ecosystems and humans. In current Chinese research, theories and methods of geodiversity in China are relatively lacking. We use the Millennium Ecosystem Assessment classification as a basis for four categories: provisioning, regulating, supporting, and cultural services. In so doing we present the products and services associated with geodiversity in China. In practice, we found that China, especially in light of its geological survey, already has a working basis for maintaining and enhancing the quality of its geodiversity and geosystem. To better advance the theory and practice of geodiversity in China, we suggest making geodiversity and biodiversity the object of geological surveys to understand its natural processes and distribution. This will ensure that nature as a whole can be appropriately managed and protected, that geodiversity indicators in ecosystem assessments can be clarified, and that equally essential elements of nature policy to promote geodiversity and biodiversity can be added.
Spanish University Students’ Awareness and Perception of Sustainable Development Goals and Sustainability Literacy
Authors: Leiva-Brondo Miguel , Lajara-Camilleri Natalia , Vidal-Meló Anna , Atarés Alejandro , Lull Cristina
Published: April 2022

The implementation of Agenda 2030 and the Sustainable Development Goals (SDGs) by the United Nations in 2015 focuses on making a more sustainable world in all countries and for all stakeholders. Higher education institutions (HEI) play a key role in increasing students’ sustainability knowledge, transforming their attitudes and motivating them to promote or engage in sustainability behaviors. HEI can take several measures to fulfill these objectives, but it is important to develop efficient tools to assess the starting point at which university students are at. In this study, a survey was conducted that addressed students from different Universitat Politècnica de València (UPV) degrees to investigate their knowledge and awareness of sustainability and SDGs. This survey (n = 321) showed students’ levels of knowledge and initial awareness. Many UPV students state that they are aware of the SDGs, but most do not fully understand these 17 goals and their current implementation but think that the SDGs are important for their daily lives. Therefore, finding links between the SDGs and daily interests is necessary to advance toward further implementation to allow us to fulfill all SDGs. These results offer a good starting point for evaluating future training and awareness actions to improve sustainability-related educational strategies.
E-Commerce Engagement: A Prerequisite for Economic Sustainability—An Empirical Examination of Influencing Factors
Authors: Kennedyd Sarmann I. , Marjerison Rob Kim , Yu Yuequn , Zi Qian , Tang Xinyi , Yang Ze
Published: April 2022

Economic sustainability for firms of all sizes and sectors is likely to depend on some type of online commercial activity. While technical barriers to e-commerce are not high, adaptability to new online markets is a critical part of sustainable economic growth for many firms. The Chinese e-commerce market has increased dramatically to become larger than that of the United States, Europe, and Japan combined. This study explores the underlying factors that influence Chinese online consumers’ acceptance and patronage of the online shopping platforms where those firms must operate. Firm competition in the e-commerce platform in China is highly competitive, making exploration of the factors that influence consumer purchase behaviour more valuable. After an extensive qualitative focus group study, a quantitative online survey of 691 savvy Chinese online shoppers was completed. When the data was subjected to structural equation modelling (SEM) for analysis, it was found that a model of three factor constructs explains whether an online shopping platform would be the preferred online shopping platform of choice. E-commerce platform preference (EPP) can predict purchase intention (PI) and site commitment (SC). The results explain why e-commerce platforms should address important EPP factors such as: order fulfilment and delivery process, company image enhancers, the variety of products offered, the design of the online shopping platform, trust of its recommendation system, and finally, awareness of the online shopping platform itself. These findings may be of interest to e-commerce practitioners as well as those whose research interests include e-commerce and consumer behaviour.
Festivals and Events as Everyday Life in Montreal’s Entertainment District
Authors: Bild Edda , Steele Daniel , Guastavino Catherine
Published: April 2022

Cities struggle to balance vitality and livability, and noise is at the center of many of these debates. Preconceived ideas on the sonic expectations and needs of groups of city users can be misleading, particularly in entertainment districts such as the Quartier des Spectacles in Montreal (CA). We investigated what life was like in QDS for its year-round users during the 2019 festival season (the last before the COVID-19 pandemic), building on insights from residents, workers and visitors collected through online surveys. Respondents described an overall positive view of their district marked by a diversity of experiences and frustrations, with subtle intragroup differences between residents and workers. Age was an important variable framing these experiences, but unexpectedly, older respondents enjoyed their life in QDS just as much as younger users. Dissatisfaction with residing or working in QDS was rarely geared toward the frequency or loudness of festivals, but rather to other everyday life situations. Emergent from the data, we argued for the development of soundscape personas to refer to typologies of users whose experiences differ in terms of sonic priorities and evaluations. Our findings could inform strategies for organizing large events in urban areas, maintaining an awareness of diversity of users.
A SUDS Planning Decision Support Tool to Maximize Ecosystem Services
Authors: Uribe-Aguado Juliana , Jiménez-Ariza Sara L. , Torres María N. , Bernal Natalia A. , Giraldo-González Mónica M. , Rodríguez Juan P.
Published: April 2022

In the past years, alternative drainage approaches have emerged, such as Sustainable Urban Drainage Systems (SUDS), to prevent run-off and flooding impacts on the most vulnerable zones of the cities. These systems not only provide the benefit of water regulation but also promote other types of ecosystem services. Several studies have developed optimization tools to assist SUDS selection, location, and design. However, they do not consider a comprehensive set of ecosystem services (e.g., provision, regulation, cultural, and support services). This research proposes a flexible and adaptable methodology to incorporate SUDS in different stages of urban projects using a multi-objective optimization technique to minimize run-off, maximize ecosystem services and minimize cost. The methodology comprises four phases: (1) the preliminary analysis of ecosystem services potentially generated by each SUDS type, (2) the priority and opportunity index quantification, (3) the physical feasibility analysis, and (4) the multi-objective optimization tool implementation. The methodology was successfully applied to three different urban areas of Bogotá city (Colombia). Results evidence that the interaction of the budget constraints and the available area restrict the potential benefits of SUDS implementation. These results are helpful to support different urban planning stages.
Effects of Heat Stress across the Rural-Urban Interface on Phenotypic Trait Expressions of Dairy Cattle in a Tropical Savanna Region
Authors: Mullakkalparambil Velayudhan Silpa , Brügemann Kerstin , Pinto Ana , Yin Tong , Reichenbach Marion , Sejian Veerasamy , Bhatta Raghavendra , Schlecht Eva , König Sven
Published: April 2022

Among all livestock systems in tropical regions, the dairy sector is facing huge challenges to sustain productivity under the rapidly changing climatic conditions. To date, there is a lack of knowledge on the combined effects of climate, season, and farm location on trait responses in different cattle breeds. Consequently, this study presents a novel approach to assess the impact of several climatic and geographical factors on production traits, energy efficiency indicators, and hygiene traits in dairy cattle reared across the rural–urban interface in the tropical savanna region of Bengaluru, a rising megacity in southern India. In total, 96 cattle were selected across Bengaluru’s rural–urban interface, reflecting a broad variety of social-ecological systems. The traits considered included test day milk yield (MY), body condition score (BCS), body weight (BW), hock assessment score (HAS), udder hygiene score (UHS), and upper leg hygiene score (ULHS). Apart from cow-related factors such as breed, lactation stage, lactation number, and milking frequency, the environmental classification variables of season, farm location (as expressed by survey stratification index, SSI), and temperature humidity index (THI) significantly affected most of the traits, with indication for breed-by-environment interactions. In particular, season significantly influenced production and hygiene traits. Furthermore, an evident breed variation was observed in the seasonal influence on BW, wherein exotic cows had a higher BW than crossbreds during the summer season. The distinct trend of SSI in its influence on most of the traits indicates that cows housed in urban areas had better trait expression than those in rural areas, thereby revealing a predominant role of management. The THI had a significant effect on MY, BCS, and HAS, and THI = 75 was identified as heat stress threshold. The results indicate the importance of considering ecological, social, and climatic factors simultaneously in order to improve primary and functional breed-specific traits of dairy cattle reared in challenging environments.
Developing Methodological Framework for Addressing Sustainability and Heritage in Architectural Higher Education—Insights from HERSUS Project
Authors: Đorđević Aleksandra , Milovanović Aleksandra , Milojević Milica P. , Zorić Ana , Pešić Mladen , Ristić Trajković Jelena , Nikezić Ana , Djokić Vladan
Published: April 2022

This paper addresses the challenges of architectural higher education to cope with a state of continuous change within the relationship between heritage and sustainability. The initial assumption is that research activities based on design taxonomies—terms used in architectural discourse of heritage and sustainability—followed by fruitful analysis and discussion can contribute to the advancements in curricula design and development. Accordingly, the paper aims to develop a new methodological framework for addressing sustainability and heritage, enriching curricula design and assessment strategy. Data collection on identification and analysis of terms was carried out within the Erasmus+ Strategic Partnership titled Enhancing of Heritage Awareness and Sustainability of Built Environment in Architectural and Urban Design Higher Education (HERSUS). After the process of filtering, interpretation, and comparison of project findings, a three-fold comprehensive analysis was conducted: (a) learning outcome quantitative analysis, (b) cross-cutting analysis of spatial scales and course types, and (c) synthesis. The paper results in the methodological framework that reinforces different pedagogical approaches to heritage and sustainability derived as a result of the applied research process. The main conclusions are concerned with the applicability of the methodological framework, designed for the improvement of existing and development of new comprehensive courses and programme contents.