bluuebunny/crossref_metadata_2025 huggingface dataset:
Rapid Post-Earthquake Structural Damage Assessment Using Convolutional Neural Networks and Transfer Learning
Authors: Ogunjinmi Peter Damilola , Park Sung-Sik , Kim Bubryur , Lee Dong-Eun
Published: May 2022

The adoption of artificial intelligence in post-earthquake inspections and reconnaissance has received considerable attention in recent years, owing to its exponential increase in computation capabilities and inherent potential in addressing disadvantages associated with manual inspections. Herein, we present the effectiveness of automated deep learning in enhancing the assessment of damage caused by the 2017 Pohang earthquake. Six classical pre-trained convolutional neural network (CNN) models are implemented through transfer learning (TL) on a small dataset, comprising 1780 manually labeled images of structural damage. Feature extraction and fine-tuning TL methods are trained on the image datasets. The performances of various CNN models are compared on a testing image dataset. Results confirm that the MobileNet fine-tuned model offers the best performance. Therefore, the model is further developed as a web-based application for classifying earthquake damage. The severity of damage is quantified by assigning damage assessment values, derived using the CNN model and gradient-weighted class activation mapping. The web-based application can effectively and automatically classify structural damage resulting from earthquakes, rendering it suitable for decision making, such as in resource allocation, policy development, and emergency response.
The Problem of Monitoring Activities of Older People in Multi-Resident Scenarios: An Innovative and Non-Invasive Measurement System Based on Wearables and PIR Sensors
Authors: Naccarelli Riccardo , Casaccia Sara , Revel Gian Marco
Published: May 2022

This paper presents an innovative multi-resident activity detection sensor network that uses the Bluetooth Low Energy (BLE) signal emitted by tags worn by residents and passive infrared (PIR) motion sensors deployed in the house to locate residents and monitor their activities. This measurement system solves the problem of monitoring older people and measuring their activities in multi-resident scenarios. Metrics are defined to analyze and interpret the collected data to understand daily habits and measure the activity level (AL) of older people. The accuracy of the system in detecting movements and discriminating residents is measured. As the sensor-to-person distance increases, the system decreases its ability to detect small movements, while still being able to detect large ones. The accuracy in discriminating the identity of residents can be improved by up to 96% using the Decision Tree (DT) classifier. The effectiveness of the measurement system is demonstrated in a real multi-resident scenario where two older people are monitored during their daily life. The collected data are processed, obtaining the AL and habits of the older people to assess their behavior.
Geometry-Dependent Efficiency of Dean-Flow Affected Lateral Particle Focusing and Separation in Periodically Inhomogeneous Microfluidic Channels
Authors: Bányai Anita , Tóth Eszter Leelőssyné , Varga Máté , Fürjes Péter
Published: May 2022

In this study, inertial focusing phenomenon was investigated, which can be used as a passive method for sample preparation and target manipulation in case of particulate suspensions. Asymmetric channel geometry was designed to apply additional inertial forces besides lift forces to promote laterally ordered particles to achieve sheathless focusing or size-dependent sorting. The evolving hydrodynamic forces were tailored with altered channel parameters (width and height), and different flow rates, to get a better understanding of smaller beads’ lateral migration. Fluorescent beads (with the diameter of 4.8 µm and 15.8 µm) were used to distinguish the focusing position in continuous flow, and experimental results were compared to in silico models for particle movement prediction, made in COMSOL Multiphysics. The focusing behaviour of the applied microfluidic system was mainly characterised for particle size in the range close to blood cells and bacteria.
Comparison of Flows through a Tidal Inlet in Late Spring and after the Passage of an Atmospheric Cold Front in Winter Using Acoustic Doppler Profilers and Vessel-Based Observations
Authors: Li Mingming , Li Chunyan
Published: May 2022

This paper discusses the application of acoustic Doppler current profilers (ADCP) for the quantification of transport of water and the underlining physical mechanism. The transport of water through estuaries and tidal inlets is affected by tide, river flow, and wind. It is often assumed that wind effects in such systems are negligible unless under severe weather conditions. This study compares the ADCP-measured flows across a tidal inlet under weak wind conditions in late spring and those after the passage of an atmospheric cold front in winter. The Barataria Pass is a major inlet connecting Barataria Bay and northern Gulf of Mexico. The water exchange between the bay and coastal ocean is influenced by wind, especially in winter, because tide in the region is small (microtidal). The winter weather and late spring–summer weather are different. This difference results in different estuarine circulations. To examine this, two surveys were carried out with ship-mounted ADCPs—one in winter (19 December 2014) shortly after the passage of a cold front from the northwest, and the other in late spring (4 May 2015) with weak southeasterly winds. Distinctly different features of mean transport through the inlet were observed between the two surveys. The results from the first survey in winter showed that the total water transport was from the bay to the coastal ocean under northerly winds with intense outflows in shallow water, which is a typical signature of wind effects. The net flow was outward when the water level dropped. Data from the second survey in spring showed that the mid-channel water flew out of the bay (against the wind), whilst inflow appeared at both ends across the inlet, which was also a response to the weak wind stress and outward pressure gradient force set by the estuarine flow. The inflow at the eastern end (exceeding 0.1 m/s) is consistent with the idea that the coastal current resulted from the Mississippi River outflow enters the bay from the eastern end. The influence of tidal oscillations on water exchange appeared to be higher in the late spring data. The hydrographic observations in spring showed typical tidal straining features of an inverse estuary during the ebb–flood cycle, while salinity in the eastern shallow water generally varied with time, indicating the inflow of fresher water into the bay, confirming previous observations from summer 2008.
Improvement of On-Site Sensor for Simultaneous Determination of Phosphate, Silicic Acid, Nitrate plus Nitrite in Seawater
Authors: Altahan Mahmoud Fatehy , Esposito Mario , Achterberg Eric P.
Published: May 2022

Accurate, on-site determinations of macronutrients (phosphate (PO43−), nitrate (NO3−), and silicic acid (H4SiO4)) in seawater in real time are essential to obtain information on their distribution, flux, and role in marine biogeochemical cycles. The development of robust sensors for long-term on-site analysis of macronutrients in seawater is a great challenge. Here, we present improvements of a commercial automated sensor for nutrients (including PO43−, H4SiO4, and NO2− plus NO3−), suitable for a variety of aquatic environments. The sensor uses the phosphomolybdate blue method for PO43−, the silicomolybdate blue method for H4SiO4 and the Griess reagent method for NO2−, modified with vanadium chloride as reducing agent for the determination of NO3−. Here, we report the optimization of analytical conditions, including reaction time for PO43− analysis, complexation time for H4SiO4 analysis, and analyte to reagent ratio for NO3− analysis. The instrument showed wide linear ranges, from 0.2 to 100 μM PO43−, between 0.2 and 100 μM H4SiO4, from 0.5 to 100 μM NO3−, and between 0.4 and 100 μM NO2−, with detection limits of 0.18 μM, 0.15 μM, 0.45 μM, and 0.35 μM for PO43−, H4SiO4, NO3−, and NO2−, respectively. The analyzer showed good precision with a relative standard deviation of 8.9% for PO43−, 4.8% for H4SiO4, and 7.4% for NO2− plus NO3− during routine analysis of certified reference materials (KANSO, Japan). The analyzer performed well in the field during a 46-day deployment on a pontoon in the Kiel Fjord (located in the southwestern Baltic Sea), with a water supply from a depth of 1 m. The system successfully collected 443, 440, and 409 on-site data points for PO43−, Σ(NO3− + NO2−), and H4SiO4, respectively. Time series data agreed well with data obtained from the analysis of discretely collected samples using standard reference laboratory procedures and showed clear correlations with key hydrographic parameters throughout the deployment period.
Role of Knee and Ankle Extensors’ Muscle-Tendon Properties in Dynamic Balance Recovery from a Simulated Slip
Authors: Debelle Héloïse , Maganaris Constantinos N. , O’Brien Thomas D.
Published: May 2022

Participants exposed to a simulated slip with forward loss of balance (FLB) develop large lower limb joint moments which may be a limiting factor for those whose muscle-tendon units’ (MTUs) properties are deteriorated. Whether the age-related decline in these properties limits participants’ capacity to recover their balance following a slip with FLB remains unclear. We combined isokinetic dynamometry, ultrasound and EMG to understand how knee extensor and ankle plantarflexor muscle strength and power, rate of moment development, electromechanical delay, and tendon stiffness affected the balance of young (25.3 ± 3.9 years) and older adults (62.8 ± 7.1 years) when recovering from a single slip with FLB triggered whilst walking on a split-belt instrumented treadmill. Except for the patellar tendon’s stiffness, knee extensor and ankle plantarflexor electromechanical delays, older adults’ MTUs properties were deteriorated compared to those of young participants (p < 0.05). We found no significant relationship between age or the MTUs properties of participants and balance recovery. These findings provide additional support that neither maximal nor explosive strength training are likely to be successful in preventing a fall for healthy older adults, and that other type of interventions, such as task-specific training that has already proved efficacious in reducing the risk of falling, should be developed.
Activity Recognition Based on Millimeter-Wave Radar by Fusing Point Cloud and Range–Doppler Information
Authors: Huang Yuchen , Li Wei , Dou Zhiyang , Zou Wantong , Zhang Anye , Li Zan
Published: May 2022

Millimeter-wave radar has demonstrated its high efficiency in complex environments in recent years, which outperforms LiDAR and computer vision in human activity recognition in the presence of smoke, fog, and dust. In previous studies, researchers mostly analyzed either 2D (3D) point cloud or range–Doppler information from radar echo to extract activity features. In this paper, we propose a multi-model deep learning approach to fuse the features of both point clouds and range–Doppler for classifying six activities, i.e., boxing, jumping, squatting, walking, circling, and high-knee lifting, based on a millimeter-wave radar. We adopt a CNN–LSTM model to extract the time-serial features from point clouds and a CNN model to obtain the features from range–Doppler. Then we fuse the two features and input the fused feature into the full connected layer for classification. We built a dataset based on a 3D millimeter-wave radar from 17 volunteers. The evaluation result based on the dataset shows that this method has higher accuracy than utilizing the two kinds of information separately and achieves a recognition accuracy of 97.26%, which is about 1% higher than other networks with only one kind of data as input.
Examining Social Relationships among Older Muslim Immigrants Living in Canada: A Narrative Inquiry
Authors: Nasir Nada , Hand Carri , Huot Suzanne
Published: May 2022

Social connectedness and engagement are particularly important among groups who are at risk of experiencing social isolation, such as immigrant older adults. The objective of our study was to understand the social relationships of aging Muslim Lebanese immigrants living in Canada by exploring their lives in their ethnic and wider communities. This study used a life course perspective and adopted a constructivist narrative inquiry to understand the diverse lived experiences of four older adults who immigrated to Canada during early adulthood. Participants engaged in a narrative interview and follow-up session in which they storied their lived experiences. Findings describe one core theme, cultivating social relationships through family, friends, and community interdependence, and three related sub-themes: (1) navigating and creating family interdependence and planting new roots; (2) family interdependence in later life: the important role of grandchildren; and (3) cultivating ethnic and local interdependence to support aging in place. The participants’ stories provided an understanding of how culture, religion, aging, family, and immigration experiences interrelated throughout their life course and shaped their social relationships during later life. This study sheds new insight on the importance of culturally tailored activities and awareness about the social needs of immigrant older adults.
Soil Properties of a Tef-Acacia decurrens-Charcoal Production Rotation System in Northwestern Ethiopia
Authors: Beshir Miftha , Yimer Fantaw , Brüggemann Nicolas , Tadesse Menfese
Published: May 2022

A tef-Acacia decurrens-charcoal production rotation system, a unique indigenous climate-smart agricultural technology of northwest Ethiopia, is increasingly seen as a promising strategy for improving soil properties. This study investigated the effect of the tef-Acacia decurrens-charcoal production rotation system on soil properties. In total, 112 soil samples (7 treatments × 4 depths × 4 replicates) were collected and analyzed inside and outside randomly selected charcoal production spots in the tef-Acacia decurrens-charcoal production rotation system and from an adjacent tef monocropping system. The soil properties examined generally exhibited significant variation between the tef monocropping system and the tef-Acacia decurrens-charcoal production rotation system, and between soil depths, as well as with respect to charcoal production spots in the system. The system resulted in a significant increase in SOC, TN, available phosphorus, available sodium, available nitrate and ammonium in general, and in total contents of K, P and Mn in the 0–20 cm depth. Charcoal production in the system significantly increased the total content of P, Al, and Fe, as well as the available nitrate and sulfate in the charcoal production spot. The variation in soil proprieties between the land use types and with respect to charcoal production spots in the TACP system were possibly due to the effect of the Acacia decurrens trees, and fire and fine charcoal residues from charcoal production, indicating the capacity of the tef-Acacia decurrens-charcoal production rotation system to improve soil properties.
Modeling, Validation, and Analysis of a Concentrating Solar Collector Field Integrated with a District Heating Network
Authors: Jensen Adam , Sifnaios Ioannis
Published: May 2022

In recent years, concentrating solar collectors have been integrated with several district heating systems with the aim of taking advantage of their low heat losses. The present study investigates the Brønderslev combined heat and power plant, which consists of a 16.6 MW parabolic trough collector field, two biomass boilers, and an organic Rankine cycle system. The study focuses on the solar collector field performance and integration with the district heating network. An in situ characterization of the parabolic solar collector field using the quasi-dynamic test method found that the field had a peak efficiency of 72.7%. Furthermore, a control strategy for supplying a constant outlet temperature to the district heating network was presented and implemented in a TRNSYS simulation model of the solar collector field. The developed simulation model was validated by comparison to measurement data. Subsequently, the simulation model was used to conduct a sensitivity analysis of the influence of the collector row spacing and tracking axis orientation. The results showed that the current suboptimal tracking axis rotation, made necessary by the geography of the location, only reduced the annual power output by 1% compared to the optimal configuration. Additionally, there were only minor improvements in the annual heat output when the row spacing was increased past 15 m (ground cover ratio of 0.38).
Changes in Athletic Performance in Children Attending a Secondary School with a Physical Activity Profile
Authors: Peterson Tomas , Ek Staffan , Thorsson Ola , Karlsson Magnus K. , Dencker Magnus , Wollmer Per
Published: May 2022

The longitudinal and multidisciplinary research project Malmö Youth Sport Study measured the sports results achieved by two cohorts of pupils using a variable named ACHIEVE, dividing the pupils into three categories (an elite group competing at the national or international level, a group competing at the district level, and a third group either not competing at all or below district level). This was assessed three and six years after baseline at age 13. An additional hypothetical measure, based on information from the athletes’ trainers, predicted the category the pupils were expected to belong to after twelve years (age 25). Social variables related to the ACHIEVE variable are sex, socio-economic position of the parents, ethnicity, completed secondary sports school, sports capital, and quartile of birth. After three years, 28% of the pupils belonged to the elite group and after six years, 26%. Thirty-two and 48%, respectively, had abandoned their elite efforts. The elite group remained fairly stable over time but fewer girls than boys advanced to the elite group. The pupils at the school have a homogenous middle-class background. We found little evidence that socio-economic factors affected ACHIEVE. Nearly all parents had been engaged in sports, either competing or as coaches. On admission to the school, there was a pronounced relative age effect (RAE). This remained after three years as the age was significantly different between the three groups but was reduced after six years. According to the prognosis made by the coaches, the elite group would be considerably smaller when the subjects reached the age of 25. The RAE was again significant in the prognosis. A further follow-up when the subjects are 25 years old will reveal not only what proportion of subjects are actively competing, but also if they are engaged in recreational sports, to what extent the RAE is present, and how accurately coaches can predict success.
Climate Adaptation and Successful Adaptation Definitions: Latin American Perspectives Using the Delphi Method
Authors: Guillén Bolaños Tania , Scheffran Jürgen , Máñez Costa María
Published: May 2022

Across the world, policies and measures are being developed and implemented to reduce the risks of climate change and adapt to its current and projected adverse effects. The Paris Agreement established the global stocktake to evaluate the collective progress made on adaptation. Nevertheless, various challenges still exist when evaluating adaptation progress, among which is the lack of standard definitions to support evaluation efforts. Therefore, we investigated the views of experts regarding the definitions of adaptation given by the Intergovernmental Panel on Climate Change (IPCC) and the definition of successful adaptation by Doria et al., with a focus on Latin America. Using the Delphi method, we obtained relevant knowledge and perspectives. As a result, we identified a high level of consensus (85%) among the experts regarding the IPCC’s definition of climate adaptation. However, there was no consensus on the definition of successful adaptation. For both definitions, we present the elements on which the experts agreed and disagreed, as well as the proposed elements that could improve the definitions to support adaptation evaluation efforts. Additionally, we introduce a list of criteria and indicators that could improve the evaluation of adaptation at different management levels and facilitate the aggregation of information on adaptation progress.
Numerical Study of Single-Layer and Stacked Minichannel-Based Heat Sinks Using Different Truncating Ratios for Cooling High Concentration Photovoltaic Systems
Authors: Okasha Ahmed T. , Al-Amri Fahad Ghallab , Maatallah Taher , Hassanain Nagmeldeen A. M. , Alghamdi Abdullah Khalid , Zachariah Richu
Published: May 2022

The present research aims to discuss and analyze the performance of truncated single-layer and stacked mini-channel-based heat sinks employed for the cooling of a single-cell high concentrating photovoltaic systems. The truncating technique of the fins at the entrance and exit regions from the internal fluid mini channels is opted to reduce the energy, raw material costs and time of the manufacturing process of the mini channels. This proposed solution is constrained by several metrics such as the thermal management and the overall performance of the high concentrating photovoltaic system. In the current research, the use of a truncating ratio of 31% has yielded minimum cell temperature and maximum electrical efficiencies for both single-layer and stacked mini-channel-based heat sinks, while a truncating ratio of 65% has enabled more uniform cell temperature distribution. Moreover, a truncating ratio of 65% has qualified the highest water outlet temperature and the lowest pressure drops relatively compared to the conventional mini-channel-based heat sink configurations. The highest water temperature has reached up to 52.7 ∘C by the stacked mini-channel-based heat sink with a truncating ratio of 65% under a geometrical concentration ratio of 2000× and a mass flow rate of 0.001kgs−1. For both the single-layer and stacked mini-channel-based heat sinks, the use of a truncating ratio of 65% has driven the upper hands to achieve higher ratio of the thermal power to the pumping power (RTP). The maximum RTP values have been recorded by the single-layer mini-channel-based heat sink with a truncating ratio of 65% equal to 23.61 ×106 and 233.06 ×103 at a mass flow rate of 0.008kgs−1 and 0.001kgs−1, respectively, under 2000×.
Impact of Manufacturing Servitization on Factor Productivity of Industrial Sector Using Global Value Chain
Authors: Zhang Jingxing
Published: May 2022

The current study estimates the impact of manufacturing servitization on industrial productivity from the perspective of global value chain division. For this purpose, from 2000 to 2014, the study uses the World Input–Output Database (WIOD) to measure the servitization level of China’s manufacturing industry based on the non-competitive input–output model. Moreover, it develops a unified framework of source and structural differences in service factors and explores the mechanism and impact of manufacturing servitization on industrial productivity from the perspective of global value chain division. The results showed that if the division status of the manufacturing industry in the global value chain is higher, there will be a higher productivity effect of servitization. Regarding service factor country difference, foreign service factor input positively strengthened the industrial productivity effect, whereas domestic service factor input had no obvious effect on industry productivity. Furthermore, it was found that distribution and transportation services do not play a significant role in promoting industry productivity, whereas modern service factors such as information technology, finance, and business services have significant driving effects on industry productivity. The study suggests optimizing the layout of the industrial chain and improving the servitization of the manufacturing industry.
Influence of Land Use and Meteorological Factors on PM2.5 and PM10 Concentrations in Bangkok, Thailand
Authors: Cheewinsiriwat Pannee , Duangyiwa Chanita , Sukitpaneenit Manlika , Stettler Marc E. J.
Published: May 2022

Particulate matter (PM) is regarded a major problem worldwide because of the harm it causes to human health. Concentrations of PM with particle diameter less than 2.5 µm (PM2.5) and with particle diameter less than 10 µm (PM10) are based on various emission sources as well as meteorological factors. In Bangkok, where the PM2.5 and PM10 monitoring stations are few, the ability to estimate concentrations at any location based on its environment will benefit healthcare policymakers. This research aimed to study the influence of land use, traffic load, and meteorological factors on the PM2.5 and PM10 concentrations in Bangkok using a land-use regression (LUR) approach. The backward stepwise selection method was applied to select the significant variables to be included in the resultant models. Results showed that the adjusted coefficient of determination of the PM2.5 and PM10 LUR models were 0.58 and 0.57, respectively, which are in the same range as reported in the previous studies. The meteorological variables included in both models were rainfall and air pressure; wind speed contributed to only the PM2.5 LUR model. Further, the land-use types selected in the PM2.5 LUR model were industrial and transportation areas. The PM10 LUR model included residential, commercial, industrial, and agricultural areas. Traffic load was excluded from both models. The root mean squared error obtained by 10-fold cross validation was 9.77 and 16.95 for the PM2.5 and PM10 LUR models, respectively.
Formal Institutional Distance and Innovation from OFDI: Evidence from China
Authors: Shi Jianing
Published: May 2022

Recent years have seen Outward Foreign Direct Investment (OFDI) become a dominant resource for firms from emerging markets to enhance their innovation capability and achieve sustainable development. However, affected by the COVID-19 epidemic and anti-globalization, multinational enterprises (MNEs) from developing countries, especially OFDI enterprises whose main purpose is knowledge seeking, have suffered. In the face of investment constraints, improving the investment efficiency is an urgent issue for MNEs in developing countries. The formal institutional distance (FID) between home and host countries has challenged MNEs to make adjustments according to the business environments of the host countries, which largely shape the innovation benefits of OFDIs. To investigate such an important, but under-studied, issue, this paper specifically examines the impact of the FID on improving the innovation capabilities of OFDIs secured by Chinese firms. We disentangle the effect of the FID on OFDI R&D resource acquisition and its moderating effect on the relationship between OFDI R&D resource and innovation performance theoretically. We use the Worldwide Governance Indicators (WGI) to measure the FID. Based on a sample of Chinese firms that invested in 28 host countries from 2003 to 2017 and via linear regression and threshold regression methods, we found that the FID has a crucial negative effect on OFDI R&D resource and has a significant negative moderating effect (threshold effect) on the relationship between OFDI R&D resource and innovation performance (i.e., when the FID is lower than the threshold, then the FID has a considerable negative moderating effect, whereas the effect would be less influential if the FID surpassed the threshold). Our findings highlight the importance of considering the FID when choosing OFDI destinations, especially when the firm invests with the aim of strengthening its innovation capability.
Age Discrimination and Employability in Healthcare Work: A Double-Edged Sword for Older Workers?
Authors: Pak Karen , Furunes Trude , De Lange Annet H.
Published: May 2022

Due to the aging workforce, older workers, especially in the healthcare industry, must remain employable. However, older healthcare workers may face age discrimination that can limit their employability chances. In this study, we examined (a) the causal direction of the relationship between age discrimination and internal employability and (b) differences between age groups (young (≤30), middle-aged (31–44), and older (≥45) healthcare workers) in this relationship. Based on the Selection Optimization Compensation theory, we postulated that (i,ii) internal employability and age discrimination are inversely negatively related to one another over time and that (ii–iv) this relationship would be strongest for older employees compared to other age groups. We conducted a two-wave complete panel study among 1478 healthcare professionals to test these hypotheses. The results of our multi-group structural equation modeling analyses suggested that internal employability is a significant negative predictor of age discrimination. Moreover, results suggested that internal employability and age discrimination have a reciprocal relationship among older workers but are unrelated for younger and middle-aged workers. Theoretical and practical implications of our results are discussed.
Groundwater Dynamic Characteristics with the Ecological Threshold in the Northwest China Oasis
Authors: Li Dongbo , Li Xiaolong , He Xinlin , Yang Guang , Du Yongjun , Li Xiaoqian
Published: May 2022

Suitable groundwater level is an important foundation for the stability of the ecological environment, and the healthy development of the social economy, in the arid area of Northwest China. The Manas River Basin is a typical oasis in an arid area, where the problems of salinization and desertification are prominent. By analyzing the variation characteristics of groundwater in the study area from 2013 to 2019 combined with remote sensing technology—according to the theory of capillary water rise and phreatic evaporation—a mathematical calculation model of the ecological threshold is established to determine the ecological groundwater level. The results show that (1) the groundwater level in the study area fluctuates by 0.2–18 m throughout the year, and the variation of groundwater drawdown is 5–35 m from 2013 to 2019; (2) the upper threshold of the ecological groundwater level is 0.82–4.05 m and the lower threshold is 3.35–10.23 m; (3) the ecological water shortage area in the study area is 9755.36 km2, and the groundwater ecological deficit is 105.741 × 108 m3. This study can provide a theoretical basis for the determination of the ecological groundwater level, the optimal allocation of water resources, and ecological environment management in the arid area of Northwest China.
Effectiveness of Particulate Matter Forecasting and Warning Systems within Urban Areas
Authors: Shin Yeeun , Kim Suyeon , Park Jinsil , Lee Sang-Woo , An Kyungjin
Published: May 2022

The close relation between atmospheric pollution and human health has been well documented. Accordingly, various policies have been enacted worldwide to reduce and regulate air pollution, with most countries having established correlated monitoring systems. Notably in South Korea, increasing concerns about particulate matter (PM) concentrations led to the establishment of a nationwide forecasting and warning system in 2014. In this study, the PM trends in South Korea over the past decade were examined, and the correlated social issues were analyzed. In addition, the relationships between PM concentration, the forecasting–warning system, and people’s urban park use were analyzed to assess the efficacy of policy introduction. The results indicated that PM concentrations were an obstacle to outdoor activities, and the PM forecasting–warning system affected urban park use. Whereas the effects of PM forecasting and warning systems have not been sufficiently explored in practical terms in the literature, this study could be significant in proving the validity of environmental policies through the evidence including urban park visitors. This study also suggests future directions for developing PM forecasting and warning systems.
A Battery-Free Sustainable Powertrain Solution for Hydrogen Fuel Cell City Transit Bus Application
Authors: Fabri Giuseppe , Ometto Antonio , Villani Marco , D’Ovidio Gino
Published: May 2022

The paper presents a sustainable electric powertrain for a transit city bus featuring an electrochemical battery-free power unit consisting of a hydrogen fuel cell stack and a kinetic energy storage system based on high-speed flywheels. A rare-earth free high-efficiency motor technology is adopted to pursue a more sustainable vehicle architecture by limiting the use of critical raw materials. A suitable dynamic energetic model of the full vehicle powertrain has been developed to investigate the feasibility of the traction system and the related energy management control strategy. The model includes losses characterisation, as a function of the load, of the main components of the powertrain by using experimental tests and literature data. The performance of the proposed solution is evaluated by simulating a vehicle mission on an urban path in real traffic conditions. Considerations about the effectiveness of the traction system are discussed.
Species Diversity and Carbon Sequestration Oxygen Release Capacity of Dominant Communities in the Hancang River Basin, China
Authors: Zhang Han , Wang Lin
Published: May 2022

Plants play an important role in the storage of organic carbon as a carbon reservoir, mainly reflected in the absorption of carbon dioxide and the release of oxygen by plants through photosynthesis, which plays an important role in regulating regional carbon balance. This study aimed to explore the pattern of dominant vegetation species diversity in small basin ecosystems, analyze the photosynthetic carbon sequestration characteristics of dominant vegetation and its carbon sink potential, and use the Hancang River Basin as the research area to obtain species abundance data using the sampling method. The community characteristics were analyzed from the aspects of species richness, α diversity index, dominant population spatial pattern, and interspecific correlation. Fifteen typical plants were selected; the photosynthetic carbon sequestration capacity of the plants was measured and quantified, and the correlation of the nitrogen ecological measurement characteristics of the leaves were analyzed. The results showed that all 15 dominant vegetation types were clustered, and the aggregation intensity and interspecific correlation were closely related. Spearman’s analysis showed that the dominant vegetation community structure and diversity in the Hancang River Basin were unstable, and there may be strong interspecies competition and frequent species replacement in the future succession process. The daily trend of the net photosynthetic rate of dominant vegetation tended to be bimodal or nearly bimodal, and the peak generally appeared at 10:00 or 14:00. The leaf area index of the dominant species was greater than 3.0, of which the largest was Platanus acerifolia at 5.31. The smallest was Hemerocallis fulva (L.) L., which was 1.16. The average carbon sequestration per unit leaf area and unit land area of the dominant species was 10.02 g·m−2·d−1 and 42.35 g·m−2·d−1, respectively, and the average oxygen release was 7.29 g·m−2·d−1 and 30.8 g·m−2·d−1, respectively. The average maintenance breathing volume of the leaves was 2.94 μmol CO2 m−2s−1. Comprehensive analysis of the ecological restoration process of the Hancang River Basin should focus on Platanus acerifolia, Prunus serrulata var. lannesiana, Prunus cerasifera, Ligustrum lucidum, and other highly efficient carbon sequestration plants, to carry out rational planting and to build a multilayer composite configuration of forest shrub and grass models to improve the ecological problems of the basin.
A Grounded Theory Approach to Uncovering the Process of How Sustainability Topics Influence Women Engineers’ Career Choice and Engagement
Authors: Ken-Giami Ibifuro , Simandjuntak Sarinova , Yang Linda , Coats Ann
Published: May 2022

Despite the growing demand for more engineers associated with the profession’s relevance in addressing the world’s most challenging sustainability problems, more young girls are choosing other career paths with similar relevance such as healthcare, compared to engineering. This scenario has been attributed to their lack of understanding of engineering roles in addressing such issues and thus indicates the relevance of research that not only provides such understanding, but also shows how women engineers’ career choice is influenced by sustainability topics. Previous research has only identified such topics that appeal to women’s attraction to engineering. However, knowledge about how this decision is reached is currently lacking. Consequently, this paper aims to uncover the process of how sustainability topics influence women’s choice of engineering using a grounded theory approach to collect and analyse the data. Semi-structured interviews were conducted with 15 women engineers who were purposively and theoretically sampled. The results show that the link between sustainability topics and women’s choice and engagement in engineering is largely manifested through four primary interrelated factors: exposure, awareness, interest and direct involvement (EAID). The study outcome is a novel EAID process model indicating that women’s interest and direct involvement in engineering could be influenced through two main routes—either by creating exposure or by awareness of engineering roles that cause or address sustainability challenges. It offers practical implications for engineering institutions, which could inform strategies for recruiting and attracting more women to engineering, and possibly enhance gender diversity and sustainability practices in the profession.
Incorporating Landscape Scaling Relations into Catchment Classification for Optimizing Ecological Management
Authors: Peng Yingxiang , Liu Xinliang , Wang Yi
Published: May 2022

The landscape scaling relation challenges catchment ecological management; however, how the scaling relations change among naturally and anthropogenically differentiated catchments is still unknown. In this study, approximately 1500 soil samples were determined; more than 800 households were surveyed; and the landscape pattern was investigated in 120 sub-catchments of a subtropical Chinese urbanizing agricultural catchment. A scalogram and a coefficient of variation of the commonly used landscape metrics were estimated among various grain sizes, to quantify the Strength of Landscape Scale Effects (SSE) among sub-catchments. Natural and anthropogenic determinants for the SSE were determined. Then, the determinants incorporating landscape scaling relation were applied to classify the sub-catchments through the k-means clustering analysis. The SSE presented different spatial heterogeneity across the 120 sub-catchments and was not expectedly related to the scaling relation over the entire catchment, especially for the Contagion index and Shannon’s Evenness Index. The SSE were significantly related to natural and anthropogenic factors including the soil sand content, the population density, the relief ratio, and the ratio of arable land to woodland. The four factors combing with landscape scaling relations contributed to the four gratifying convergent categories for the 120 sub-catchments. Category I with a large relief and less anthropogenic disturbance had higher spatially non-stationary relationship, while categories II, III, and IV, with varying degrees of relatively small relief and strong intensities of anthropogenic disturbance, had a lower spatial heterogeneity of the landscape scaling relation. The results implied that category I was required to strengthen environmental protection of spatial differences, and categories II, III, and IV could ignore the landscape scale effects and even upscaling management to save management resources when carrying out ecological management within. Our findings could minimize uncertainty in ecological planning and provide opportunities for the application of multiple-scale management.
Impacts of Energy Transition on Life Cycle Carbon Emission and Water Consumption in Japan’s Electric Sector
Authors: Meng Linghao , Asuka Jusen
Published: May 2022

The United Nations (UN) proposed the Sustainable Development Goals (SDG 17) in 2015, together with The Paris Agreement endorsed by 195 signatories and state parties, to address sustainable development-related issues through ambitious and dynamic actions. The transition of the energy system is at the heart of greenhouse gas (GHGs) mitigation which is required to achieve those goals and the electric sector is the core of energy system of interest while the GHG with the largest contribution to rising temperature is carbon dioxide. However, in addition to being centrally relevant for carbon emissions, the electric sector is also an important water consumer. This study applied a hybrid life cycle assessment (LCA) model with the disaggregated electric sector to investigate the impacts on carbon emission and water consumption of the energy transition in Japan under the Sixth Strategic Energy Plan. The results indicate that the electricity mix under the Nationally Determined Contribution (NDC) scenario can cut 50% of existing carbon emissions while intensifying the water consumption by 36% from the life cycle perspective in which 30% are foreign water footprints. The Kaya identity analysis confirmed this conclusion and explained the impacts of four driving factors (population, economy, electricity intensity, and electricity mix) qualitatively and quantitatively showing that the development of technologies and continuous efforts in energy saving can provide a substantial contribution to sustainable development. The results confirmed that the efforts proposed by Japan’s NDC for emission reduction through an energy transition in the electric sector can meet the expectation of achieving the Paris Agreement goals but will also pose greater challenges to the future global water demand in the energy system and regional water stress.
Design, Modeling, and Model-Free Control of Permanent Magnet-Assisted Synchronous Reluctance Motor for e-Vehicle Applications
Authors: Sriprang Songklod , Poonnoy Nitchamon , Nahid-Mobarakeh Babak , Takorabet Noureddine , Bizon Nicu , Mungporn Pongsiri , Thounthong Phatiphat
Published: May 2022

This paper describes the model-free control approaches for permanent magnet-assisted (PMa) synchronous reluctance motors (SynRMs) drive. The important improvement of the proposed control technique is the ability to determine the behavior of the state-variable system during both fixed-point and transient operations. The mathematical models of PMa-SynRM were firstly written in a straightforward linear model form to show the known and unknown parts. Before, the proposed controller, named here the intelligent proportional-integral (iPI), was applied as a control law to fix some unavoidable modeling errors and uncertainties of the motor. Lastly, a dSPACE control platform was used to realize the proposed control algorithm. A prototype 1-kW test bench based on a PMa-SynRM machine was designed and realized in the laboratory to test the studied control approach. The simulation using MATLAB/Simulink and experimental results revealed that the proposed control achieved excellent results under transient operating conditions for the motor drive’s cascaded control compared to traditional PI and model-based controls.
Flipped Classroom and Gamification Approach: Its Impact on Performance and Academic Commitment on Sustainable Learning in Education
Authors: Ng Lui-Kwan , Lo Chung-Kwan
Published: May 2022

The onset of the COVID-19 global pandemic has negatively impacted sustainable learning in education (SLE). During city lockdowns, higher education institutes (HEIs) have transitioned from adopting solely traditional didactic classroom teaching to including innovative, flexible learning approaches such as flipped classrooms. Gamification is a new techno-pedagogy that has been integrated into flipped classrooms to promote learner achievement and engagement. Grounded in self-determination theory, the objectives of this exploratory study were to analyse the influence of the flipped classroom and gamification on SLE concerning learner achievement and engagement. Participants were recruited from postgraduate business education programmes in China, and three instructional interventions were applied for a semester of 10 weeks. The three instructional interventions applied were: gamified flipped classroom (n = 25), non-gamified flipped classroom (n = 24) and gamified traditional classroom (n = 19). A mixed-methods approach was used, and both quantitative and qualitative data were analysed. The results indicated gamified traditional classrooms promote learner achievement, and the gamified flipped classrooms promote learner engagement. Furthermore, learning culture, such as teacher-dependency, also influence learner achievement and engagement. The class observation reports and learner interviews suggested that both gamified flipped classrooms and gamified traditional classrooms support SLE in the time of academic uncertainty during the COVID-19 pandemic.
Logistics Technology Forecasting Framework Using Patent Analysis for Technology Roadmap
Authors: Kwon Koopo , Jun Sungchan , Lee Yong-Jae , Choi Sanghei , Lee Chulung
Published: May 2022

The rapid advancement of digital technologies has fundamentally changed the competitive dynamics of the logistics industry. For players in the logistics industry, digitization has become an unavoidable situation to achieve survival and sustainable competitiveness. A technology strategy is essential for digitization, and identifying opportunities and threats of technology development through technology trend exploration is important for technology strategy. In addition, to enable the implementation of the technology strategy, it is necessary to detect the change in technology and search for the technology that is expected to have a practical development effect. The purpose of this study is to identify opportunities and areas for technology development through patent data in establishing technology strategies. Previous research mainly relied on the expert interview method, and there was also a patent analysis study based on topic modeling, but only to grasp technology trends. This paper aims to propose a new framework for the extension to the stage for establishing a technology roadmap. By using the Word2Vec algorithm, we will investigate the patent search formula that reflects the trend, the prediction of changes in logistics technology through LDA (Latent Dirichlet Allocation) clustering of patent data, and the derivation of vacant technology by experimental methods. The proposed framework is expected to be utilized for predicting technological change and deriving promising technologies for establishing technology roadmaps in logistics companies.