bluuebunny/crossref_metadata_2025 huggingface dataset:
GA20ox Family Genes Mediate Gibberellin and Auxin Crosstalk in Moso bamboo (Phyllostachys edulis)
Authors: Bai Yucong , Xie Yali , Cai Miaomiao , Jiang Jutang , Wu Chongyang , Zheng Huifang , Gao Jian
Published: August 2023

Moso bamboo (Phyllostachys edulis) is one of the fastest growing plants. Gibberellin (GA) is a key phytohormone regulating growth, but there are few studies on the growth of Moso bamboo regulated by GA. The gibberellin 20 oxidase (GA20ox) gene family was targeted in this study. Chromosomal distribution and collinearity analysis identified 10 GA20ox genes evenly distributed on chromosomes, and the family genes were relatively conservative in evolution. The genetic relationship of GA20ox genes had been confirmed to be closest in different genera of plants in a phylogenetic and selective pressure analysis between Moso bamboo and rice. About 1/3 GA20ox genes experienced positive selective pressure with segmental duplication being the main driver of gene family expansion. Analysis of expression patterns revealed that only six PheGA20ox genes were expressed in different organs of shoot development and flowers, that there was redundancy in gene function. Underground organs were not the main site of GA synthesis in Moso bamboo, and floral organs are involved in the GA biosynthesis process. The auxin signaling factor PheARF47 was located upstream of PheGA20ox3 and PheGA20ox6 genes, where PheARF47 regulated PheGA20ox3 through cis-P box elements and cis-AuxRR elements, based on the result that promoter analysis combined with yeast one-hybrid and dual luciferase detection analysis identified. Overall, we identified the evolutionary pattern of PheGA20ox genes in Moso bamboo and the possible major synthesis sites of GA, screened for key genes in the crosstalk between auxin and GA, and laid the foundation for further exploration of the synergistic regulation of growth by GA and auxin in Moso bamboo.
The Potential of Myrtaceae Species for the Phytomanagement of Treated Municipal Wastewater
Authors: Meister Alexandra , Gutiérrez-Ginés María Jesús , Lowe Hamish , Robinson Brett
Published: August 2023

The use of native plants in land application systems for treated municipal wastewater (TMW) can contribute to ecological restoration. However, research on the potential of native species to manage the nutrients and contaminants contained in TMW is scarce. At a 10-hectare field site irrigated with TMW at >4000 mm yr−1, we investigated the distribution of nutrients and trace elements in the soil–plant system, comparing the New Zealand native Myrtaceae species Leptosperum scoparium and Kunzea robusta with pasture. The results showed that plant growth did not correlate with TMW irrigation rates. L. scoparium and K. robusta had higher foliar trace element concentrations than pasture, but these were not correlated with TMW irrigation rates. The pasture accumulated more N and P (68 kg of N ha−1 yr−1 and 11 kg of P ha−1 yr−1) than the Myrtaceae species (0.6–17 kg of N ha−1 yr−1 and 0.06–1.8 kg of P ha−1 yr−1). Regular harvesting of the pasture would likely remove more N and P from the site than the Myrtaceae species. The results highlight the importance of adjusting TMW application rates to the soil–plant capacity, in which case, native plants could provide ecological or economic value to TMW-irrigated land.
Study on Blending Modification of Bisphenol A Epoxy
Authors: Fu Xiaotao , Ma Long , Chen Lincong , Zhang Cong , Chen Xiaolin , Li Xinran , Fu Fangda , Fu Chuanfu , Lin Taobei , Mao Wensheng
Published: August 2023

Epoxy-resin-based composites in the field of current electrical materials often work in high temperature, high humidity or salt spray conditions. In order to improve the operation reliability of the composite insulator cross arm in a high temperature, high humidity and high salt spray environment, and analyze the aging mechanism and performance characteristics of resin, in this paper, wet heat aging and salt spray aging experiments were carried out on the blended resin system composed of bisphenol A type epoxy resin (E-51), aliphatic epoxy modified bisphenol A epoxy resin (2021P/E-51) and dimeric acid modified bisphenol A epoxy resin (EPD-172/E-51). Among them, 10 wt% and 20 wt% of 2021P blend resin and 10 wt% of EPD blend resin have superior thermo-mechanical properties. Under humid and hot conditions, the dielectric loss of 10 wt% EPD blend system before and after aging is 39.9% and 49.5% lower than that of pure E51 resin system, respectively. Under the condition of salt spray, the dielectric loss of 20 wt% and 10 wt% EPD blends decreased by 73.1% and 74.6% after aging. The leakage current of 10 wt% 2021P blend resin and 10 wt% EPD blend resin decreased by 7% and 3.8% before aging, respectively. After aging, they decreased by 3.7% and 2.2%, respectively. The bending strength of 2021P blend resin before and after aging reached 29.3 MPa and 26.6 MPa, respectively. The above three blending resin systems exhibit good electrical properties and good mechanical properties, their ageing resistance performance is strong and they are suitable as the matrix resin of compound cross arm mandrel material.
A Thermal Analytical Study of LEGO® Bricks for Investigating Light-Stability of ABS
Authors: Sabatini Francesca , Pizzimenti Silvia , Bargagli Irene , Degano Ilaria , Duce Celia , Cartechini Laura , Modugno Francesca , Rosi Francesca
Published: August 2023

Acrylonitrile butadiene styrene (ABS) is a thermoplastic polymer widely used in several everyday life applications; moreover, it is also one of the most employed plastics in contemporary artworks and design objects. In this study, the chemical and thermal properties of an ABS-based polymer and its photo-degradation process were investigated through a multi-analytical approach based on thermal, mass spectrometric and spectroscopic techniques. LEGO® building blocks were selected for studying the ABS properties. First, the composition of unaged LEGO® bricks was determined in terms of polymer composition and thermal stability; then, the bricks were subjected to UV–Vis photo-oxidative-accelerated ageing for evaluation of possible degradation processes. The modifications of the chemical and thermal properties were monitored in time by a multi-technique approach aimed at improving the current knowledge of ABS photodegradation, employing pyrolysis online with gas chromatography and evolved gas analysis, coupled with mass spectrometric detection (Py-GC-MS and EGA-MS), differential scanning calorimetry (DSC), thermogravimetric analysis (TGA), and corroborated by external reflection FT-IR spectroscopy. The multimodal approach provided new evidence on the two-step degradation pathway proposed for ABS, defining molecular markers for polybutadiene oxidation and styrene-acrylonitrile depolymerization. Moreover, the results highlighted the feasibility of correlating accurate compositional and thermal data acquired by bulk techniques with external reflection FT-IR spectroscopy as a non-invasive portable tool to monitor the state of conservation of plastic museum objects in-situ.
Valorization of Glucose-Derived Humin as a Low-Cost, Green, Reusable Adsorbent for Dye Removal, and Modeling the Process
Authors: Dharmapriya Thakshila Nadeeshani , Chang Ken-Lin , Huang Po-Jung
Published: August 2023

Glucose can be isomerized into fructose and dehydrated into key platform biochemicals, following the “bio-refinery concept”. However, this process generates black and intractable substances called humin, which possess a polymeric furanic-type structure. In this study, glucose-derived humin (GDH) was obtained by reacting D-glucose with an allylamine catalyst in a deep eutectic solvent medium, followed by a carbonization step. GDH was used as a low-cost, green, and reusable adsorbent for removing cationic methylene blue (MB) dye from water. The morphology of carbonized GDH differs from pristine GDH. The removal efficiencies of MB dye using pristine GDH and carbonized GDH were 52% and 97%, respectively. Temperature measurements indicated an exothermic process following pseudo-first-order kinetics, with adsorption behavior described by the Langmuir isotherm. The optimum parameters were predicted using the response surface methodology and found to be a reaction time of 600 min, an initial dye concentration of 50 ppm, and a GDH weight of 0.11 g with 98.7% desirability. The MB dye removal rate optimized through this model was 96.85%, which was in good agreement with the experimentally obtained value (92.49%). After 10 cycles, the MB removal rate remained above 80%, showcasing the potential for GDH reuse and cost-effective wastewater treatment.
Enhanced Degradability, Mechanical Properties, and Flame Retardation of Poly(Lactic Acid) Composite with New Zealand Jade (Pounamu) Particles
Authors: Lin Lilian , Dang Quang A. , Park Heon E.
Published: August 2023

Plastic pollution has become a global concern, demanding urgent attention and concerted efforts to mitigate its environmental impacts. Biodegradable plastics have emerged as a potential solution, offering the prospect of reduced harm through degradation over time. However, the lower mechanical strength and slower degradation process of biodegradable plastics have hindered their widespread adoption. In this study, we investigate the incorporation of New Zealand (NZ) jade (pounamu) particles into poly(lactic acid) (PLA) to enhance the performance of the resulting composite. We aim to improve mechanical strength, flame retardation, and degradability. The material properties and compatibility with 3D printing technology were examined through a series of characterization techniques, including X-ray diffraction, dispersive X-ray fluorescence spectrometry, scanning electron microscopy, energy-dispersive X-ray spectroscopy, thermogravimetric analysis, 3D printing, compression molding, pycnometry, rheometry, tensile tests, three-point bending, and flammability testing. Our findings demonstrate that the addition of NZ jade particles significantly affects the density, thermal stability, and mechanical properties of the composites. Compounding NZ jade shows two different changes in thermal stability. It reduces flammability suggesting potential flame-retardant properties, and it accelerates the thermal degradation process as observed from the thermogravimetric analysis and the inferred decrease in molecular weight through rheometry. Thus, the presence of jade particles can also have the potential to enhance biodegradation, although further research is needed to assess its impact. The mechanical properties differ between compression-molded and 3D-printed samples, with compression-molded composites exhibiting higher strength and stiffness. Increasing jade content in composites further enhances their mechanical performance. Th results of this study contribute to the development of sustainable solutions for plastic pollution, paving the way for innovative applications and a cleaner environment.
Characterization of Thermo-Mechanical and Chemical Properties of Polypropylene/Hemp Fiber Biocomposites: Impact of Maleic Anhydride Compatibilizer and Fiber Content
Authors: da Silveira Pedro Henrique Poubel Mendonça , Santos Mônica Cristina Celestino dos , Chaves Yago Soares , Ribeiro Matheus Pereira , Marchi Belayne Zanini , Monteiro Sergio Neves , Gomes Alaelson Vieira , Tapanes Neyda de La Caridad Om , Pereira Patricia Soares da Costa , Bastos Daniele Cruz
Published: August 2023

This article presents a comprehensive study on the physical, mechanical, thermal, and chemical properties of polypropylene (PP) composites reinforced with hemp fibers (HF) and compatibilized with maleic anhydride (MAPP). The composites were processed using a twin-screw extruder, followed by hot compression at 190 °C. Subsequently, the composites were analyzed using Izod impact and Shore D hardness tests to evaluate their mechanical properties. Thermal properties were investigated through differential scanning calorimetry (DSC) and thermogravimetric analysis (TGA), while X-ray diffraction (XRD) and Fourier-transform infrared spectroscopy (FTIR) were employed to study their chemical properties. Additionally, a statistical analysis was conducted to compare the average results of the impact and hardness tests. XRD analysis revealed that the addition of HF and MAPP led to the disappearance of peaks corresponding to the beta phase in pure PP. Hemp fibers exhibited an impressive crystallinity of 82.10%, surpassing other natural fibers, and had a significant molecular orientation angle (MFA) of 6.06°, making them highly desirable for engineering applications. The crystallite size was observed to be relatively large, at 32.49 nm. FTIR analysis demonstrated strong interactions between the fiber, compatibilizing agent, and polymer matrix. TGA tests showed that the addition of 5 and 10 wt.% MAPP resulted in complete degradation of the composites, similar to pure PP. DSC analyses indicated a reduction in crystallinity (Xc) due to the incorporation of HF and MAPP. Shore D hardness tests revealed an increase in hardness with the addition of 5 wt.% MAPP, while a steep decline in this property was observed with 10 wt.% MAPP. In terms of impact resistance, fractions of 3 and 5 wt.% MAPP in the composites exhibited improved performance compared to the pure polymer. Analysis of variance (ANOVA) was employed to ensure the statistical reliability of the mechanical test results. This comprehensive study sheds light on the diverse properties of PP composites reinforced with hemp fibers and compatibilized with MAPP, emphasizing their potential as sustainable materials for engineering applications. The results contribute to the understanding of the structural and functional aspects of these composites, guiding future research and developments in the field.
Estimation of Daily Seamless PM2.5 Concentrations with Climate Feature in Hubei Province, China
Authors: Ni Wenjia , Ding Yu , Li Siwei , Teng Mengfan , Yang Jie
Published: August 2023

The urgent necessity for precise and uninterrupted PM2.5 datasets of high spatial–temporal resolution is underscored by the significant influence of PM2.5 on weather, climate, and human health. This study leverages the AOD reconstruction method to compensate for missing values in the MAIAC AOD throughout Hubei Province. The reconstructed AOD dataset, exhibiting an R2/RMSE of 0.76/0.18, compared to AERONET AOD, was subsequently used for PM2.5 estimation. Our research breaks from traditional methodologies that solely depend on latitude and longitude information. Instead, it emphasizes the use of climate feature as an input for estimating PM2.5 concentrations. This strategic approach prevents potential spatial discontinuities triggered by geolocation information (latitude and longitude), thus ensuring the precision of the PM2.5 estimation (sample/spatial CV R2 = 0.91/0.88). Moreover, we proposed a method for identifying the absolute feature importance of machine-learning models. Contrasted with the relative feature-importance property typical of machine-learning models (a minor difference in the order of top three between geolocation-based and climate-feature-based models, and the slight difference in the top three: 0.08%/0.17%), our method provides a more comprehensive explanation of the absolute significance of features to the model (maintaining the same order and a larger difference in the top three: 0.99%/0.72%). Crucially, our findings demonstrated that AOD reconstruction can mitigate the overestimation of annual mean PM2.5 concentrations (ranging from 0.52 to 9.28 µg/m3). In addition, the seamless PM2.5 dataset contributes to reducing the bias in exposure risk assessment (ranging from −0.11 to 9.81 µg/m3).
Uncertainty of Satellite-Derived Glacier Flow Velocities in a Temperate Alpine Setting (Juneau Icefield, Alaska)
Authors: Kelly Joshua T. , Hehlen Mark , McGee Scott
Published: August 2023

Cross-correlation of image-pairs derived from both optical and synthetic aperture radar satellite imagery is the most common technique for measuring glacier flow velocity and quantifying the dynamics and discharge of glaciers. While the technique has been shown to be effective on polar ice sheets, the accuracy of satellite-derived velocities in temperate alpine regions is poorly constrained. Flow velocities were measured in situ using an RTK-GPS along four profiles on Taku, Matthes, Vaughan-Lewis, and Llewellyn Glaciers in southeast Alaska from 2016 through 2018. These GNSS-measured velocities were correlated against spatially coincident and contemporaneous satellite-derived velocity datasets, including both versions 1 and 2 of ITS_LIVE and velocities determined by offset tracking of SAR data in the Sentinel Application Platform (SNAP) and GAMMA (RETREAT dataset). Significant gaps in velocity maps derived from optical imagery (Landsat/Sentinel-2) were observed and determined to be due to low coherence rather than cloud contamination. Cross-correlation of SAR data (Sentinel-1) in SNAP and RETREAT achieved better accuracy compared to optical, although a strong dichotomy in performance was observed. SAR-derived velocities in the accumulation zone and transient snowline area showed overall poor correlation to GNSS-measured velocities that were likely due to significant shifts in the backscatter amplitude of the homogenous, snow-covered surface, although both SAR-derived SNAP and RETREAT velocities were anomalously accurate where GNSS velocities were below 0.10 m/day along the glacier margins. SNAP and RETREAT achieved the most accurate results in the study in the ablation zone of the Llewellyn Glacier where stable backscatter targets on the glacier surface (crevasses, supraglacial debris) facilitated high coherence in the cross-correlation procedure. SAR data are likely the most suitable for the derivation of satellite-derived velocities on temperate alpine glaciers, particularly in slow-moving and ablation zones, but should be subject to scrutiny for fast-flowing glaciers and those with an active hydrologic surface system.
Open-Pit Mining Area Extraction from High-Resolution Remote Sensing Images Based on EMANet and FC-CRF
Authors: Ren Zili , Wang Liguan , He Zhengxiang
Published: August 2023

Rapid and accurate identification of open-pit mining areas is essential for guiding production planning and assessing environmental impact. Remote sensing technology provides an effective means for open-pit mine boundary identification. In this study, an effective method for delineating an open-pit mining area from remote sensing images is proposed, which is based on the deep learning model of the Expectation-Maximizing Attention Network (EMANet) and the fully connected conditional random field (FC-CRF) algorithm. First, ResNet-34 was applied as the backbone network to obtain preliminary features. Second, the EMA mechanism was used to enhance the learning of important information and details in the image. Finally, a postprocessing program based on FC-CRF was introduced to optimize the initial prediction results. Meanwhile, the extraction effect of MobileNetV3, U-Net, fully convolutional network (FCN), and our method were compared on the same data set for the open-pit mining areas. The advantage of the model is verified by the visual graph results, and the accuracy evaluation index based on the confusion matrix calculation. pixel accuracy (PA), mean intersection over union (MIoU), and kappa were 98.09%, 89.48%, and 88.48%, respectively. The evaluation results show that this method effectively identifies open-pit mining areas. It is of practical significance to complete the extraction task of open-pit mining areas accurately and comprehensively, which can be used for production management and environmental protection of open-pit mines.
The Sensitivity of Green-Up Dates to Different Temperature Parameters in the Mongolian Plateau Grasslands
Authors: Wang Meiyu , Zhang Hongyan , Wang Bohan , Wang Qingyu , Chen Haihua , Gong Jialu , Sun Mingchen , Zhao Jianjun
Published: August 2023

The rise in global average surface temperature has promoted the advancement of spring vegetation phenology. However, the response of spring vegetation phenology to different temperature parameters varies. The Mongolian Plateau, one of the largest grasslands in the world, has green-up dates (GUDs) with unclear sensitivity to different temperature parameters. To address this issue, we investigated the responses of GUDs to different temperature parameters in the Mongolian Plateau grasslands. The results show that GUDs responded significantly differently to changes in near-surface temperature (TMP), near-surface temperature maximum (TMX), near-surface temperature minimum (TMN), and diurnal temperature range (DTR). GUDs advanced as TMP, TMX, and TMN increased, with TMN having a more significant effect, whereas increases in DTR inhibited the advancement of GUDs. GUDs were more sensitive to TMX and TMN than to TMP. The sensitivity of GUDs to DTR showed an increasing trend from 1982 to 2015 and showed this parameter’s great importance to GUDs. Our results also show that the spatial and temporal distributions of temperature sensitivity are only related to temperature conditions in climatic zones instead of whether they are arid.
Combined Characterization of Airborne Saharan Dust above Sofia, Bulgaria, during Blocking-Pattern Conditioned Dust Episode in February 2021
Authors: Peshev Zahari , Chaikovsky Anatoli , Evgenieva Tsvetina , Pescherenkov Vladislav , Vulkova Liliya , Deleva Atanaska , Dreischuh Tanja
Published: August 2023

The wintertime outbreaks of Saharan dust, increasing in intensity and frequency over the last decade, have become an important component of the global dust cycle and a challenging issue in elucidating its feedback to the ongoing climate change. For their adequate monitoring and characterization, systematic multi-instrument observations and multi-aspect analyses of the distribution and properties of desert aerosols are required, covering the full duration of dust events. In this paper, we present observations of Saharan dust in the atmosphere above Sofia, Bulgaria, during a strong dust episode over the whole of Europe in February 2021, conditioned by a persistent blocking weather pattern over the Mediterranean basin, providing clear skies and constant measurement conditions. This study was accomplished using different remote sensing (lidar, satellite, and radiometric), in situ (particle analyzing), and modeling/forecasting methods and resources, using real measurements and data (re)analysis. A wide range of columnar and range/time-resolved optical, microphysical, physical, topological, and dynamical characteristics of the detected aerosols dominated by desert dust are obtained and profiled with increased accuracy and reliability by combining the applied approaches and instruments in terms of complementarity, calibration, and normalization. Vertical profiles of the aerosol/dust total and mode volume concentrations are presented and analyzed using the LIRIC-2 inversion code joining lidar and sun-photometer data. The results show that interactive combining and use of various relevant approaches, instruments, and data have a significant synergistic effect and potential for verifying and improving theoretical models aimed at complete aerosol/dust characterization.
Predict Seasonal Maximum Freezing Depth Changes Using Machine Learning in China over the Last 50 Years
Authors: Wang Shuo , Sheng Yu , Ran Youhua , Wang Bingquan , Cao Wei , Peng Erxing , Peng Chenyang
Published: August 2023

Seasonal freezing depth change is important in many environmental science and engineering applications. However, such changes are rare at region scales, especially over China, in the long time series. In this study, we evaluated the annual changes in seasonal maximum freezing depth (MFD) over China from 1971 to 2020 using an ensemble-modeling method based on support vector machine regression (SVMR) with 600 repetitions. Remote sensing data and climate data were input variables used as predictors. The models were trained using a large amount of annual measurement data from 600 meteorological stations. The main reason for using SVMR here was because it has been shown to perform better than random forests (RF), k-nearest neighbors (KNN), and generalized linear regression (GLR) in these cases. The prediction results were generally consistent with the observed MFD values. Cross validation showed that the model performed well on training data and had a better spatial generalization ability. The results show that the freezing depth of seasonally frozen ground in China decreased year by year. The average MFD was reduced by 3.64 cm, 7.59 cm, 5.54 cm, and 5.58 cm, in the 1980s, 1990s, 2000s, and 2010s, respectively, compared with the decade before. In the last 50 years, the area occupied by the freezing depth ranges of 0–40 cm, 40–60 cm, 60–80 cm, 80–100 cm, and 120–140 cm increased by 99,300 square kilometers, 146,200 square kilometers, 130,300 square kilometers, 115,600 square kilometers, and 83,800 square kilometers, respectively. In addition to the slight decrease in freezing depth range of 100–120 cm, the reduced area was 29,500 square kilometers. Freezing depth ranges greater than 140 cm showed a decreasing trend. The freezing depth range of 140–160 cm, which was the lowest range, decreased by 89,700 square kilometers. The 160–180 cm range decreased by 120,500 square kilometers, and the 180–200 cm range decreased by 161,500 square kilometers. The freezing depth range greater than 200 cm, which was the highest reduction range, decreased by 174,000 square kilometers. Considering the lack of data on the change in MFD of seasonally frozen ground in China in recent decades, machine learning provides an effective method for studying meteorological data and reanalysis data in order to predict the changes in MFD.
Partial Discharge Wideband Full-Band High-Gain Resonant Cavity UHF Sensor Research
Authors: Liao Chengqiang , Zhang Lei , Zhang Guozhi , Lu Changyue , Zhang Xiaoxing
Published: August 2023

To meet the real demand for broadband full-band high-gain antenna sensors in the process of partial discharge (PD) Ultra-High frequency (UHF) detection test and online monitoring of power equipment, this paper builds a resonant cavity monopole UHF antenna sensor based on Fabry–Perot resonant cavity antenna technology, conducts the sensor Voltage Standing Wave Ratio (VSWR) optimization study using curved flow technology, conducts the sensor gain optimization study using slot dual resonant structure, and, finally, tests the sensor performance using the built PD detection test platform. The resonant cavity monopole antenna exhibits outstanding VSWR performance in the frequency range of 0.37 GHz–3 GHz, according to simulation and test data: the average gain in the frequency range of 0.3 GHz–3 GHz is 4.92 dBi, and the highest gain at the primary resonant frequency of 1.0 GHz is 7.16 dBi, with good radiation performance over the whole frequency spectrum. The electromagnetic pulse signal sensed by the UHF sensor developed in this paper can demonstrate the energy spectrum distribution characteristics of PD radiation electromagnetic wave signal more comprehensively, laying a firm technical foundation for thoroughly understanding the electromagnetic wave radiation characteristics of various types of PD insulation defects of various power equipment and the selection of a specific direction for its supporting optimization.
Decarbonization Potentials for Automotive Supply Chains: Emission-Intensity Pathways of Carbon-Intensive Hotspots of Battery Electric Vehicles
Authors: Poschmann Justus , Bach Vanessa , Finkbeiner Matthias
Published: August 2023

To keep global warming below 1.5 °C, the road transport sector must decrease its emissions by substituting internal combustion engine vehicles (ICEV) with battery electric vehicles (BEV). As BEVs can be operated with renewable electricity, the CO2−eq emissions of the supply chain are relevant for future mitigation. The aim of this paper is to derive emission-intensity pathways and to determine the decarbonization impact regarding the lifecycle emissions of BEVs. Therefore, an analysis for steel, aluminum, battery cells, plastic, and glass, and an evaluation of the literature containing present emission intensities (e.g., for steel 1.7 tCO2/t to 2.8 tCO2/t) and reduction potentials, were performed. Based on low-carbon electricity, circular materials, and recycling, as well as technological improvements, emission intensities can be decreased by 69% to 91% by 2050. As a result, the carbon footprint of the reviewed vehicles can be reduced by 47% for supply chain emissions, whereas 25% to 37% of the total lifecycle emissions remain. Considering the scenario studied, BEVs cannot be decarbonized aligned to the 1.5 °C pathway using only avoidance and reduction measures until 2050. Consequently, the application of carbon removals is necessary. However, the applied trajectory and extrapolation relies on material availability and does not consider abatement costs.
Analysis of Asymmetric Fault Commutation Failure in HVDC System Considering Instantaneous Variation of DC Current
Authors: Wang Yufei , Wang Haiyun , Wu Jiahui
Published: August 2023

HVDC is an important part of reducing energy transmission losses and maintaining energy sustainability. Commutation failure is the most common fault in HVDC systems, but existing commutation failure analysis approaches for HVDC systems do not consider the effects of instantly increasing direct current on the turn-off angle after an asymmetric fault in the AC system. To address this problem, we developed a commutation failure analysis approach that considers instantaneous variation of the DC current and AC voltage after asymmetrical faults. Firstly, the effects of the AC voltage and the DC current on the turn-off angle and the coupling relationship between the two are analyzed. Secondly, an equivalent mathematical model of the DC line, which covers the reactance, is built in Laplace space. Combined with the phase angle offset generated by the voltage after an asymmetric fault, a single relation expression containing only the AC voltage and turn-off angle is obtained by decoupling the DC current and AC voltage. The critical instantaneous AC voltage leading to system commutation failure is then derived based on the critical turn-off angle. Lastly, based on the CIGRE HVDC model built in the PSCAD electromagnetic transient simulation software (PSCAD v46), the accuracy of the proposed commutation failure analysis method compared with the other two methods is verified via simulation experiments under different grounding impedance values, and the applicability of the proposed method is further verified using simulation experiments with different smoothing reactor parameters.
Chinese and British University Teachers’ Emotional Reactions to Students’ Disruptive Classroom Behaviors
Authors: Xu Xinyuan , Klassen Robert M.
Published: August 2023

As globalisation increases, more teachers are teaching abroad. New teaching contexts present challenges to international teachers’ mental health. According to appraisal theory, the elicitation of an emotion is an interplay between situational (context) and dispositional (beliefs) antecedents, and people’s built-in dispositions are socially constructed and culturally shaped. Based on this premise, it can be assumed that, compared with local teachers, international teachers may experience different types or intensities of emotions due to their different beliefs and goals when they confront the same disruptive behaviours by students in the classroom. The aim of this research is to investigate Chinese teachers’ and British teachers’ emotional experiences while working in universities in the UK through a mixed methods study. The methodology that is employed in the present research is a pragmatic approach. A sequential mixed-methods design was used to examine the assumptions and discover possible explanations for the phenomenon. Study One investigated 99 participants (47 Chinese teachers and 52 British teachers) through a novel video-based survey and found that university teachers who were originally from China experienced a significantly higher level of anxiety and shame than teachers who were originally from Britain. The results show that in a new cultural context, international teachers can experience higher-level negative emotions in comparison with indigenous teachers. Study Two used semi-structured interviews to examine what factors could result in the differences discovered by Study One. The results indicated that the appraisal dimension of accountability and self-construals, shaped by cultural values, were the key factors influencing teachers’ emotional experiences. Overall, the research findings have implications for supporting international teachers’ emotional acculturation and the sustainable development of both policymakers and practitioners in foreign teaching contexts.
Sustainable Use of Treated Municipal Wastewater after Chlorination: Short-Term Effects on Crops and Soils
Authors: Zema Demetrio Antonio , Carrà Bruno Gianmarco , Sorgonà Agostino , Zumbo Antonino , Lucas-Borja Manuel Esteban , Miralles Isabel , Ortega Raúl , Soria Rocío , Zimbone Santo Marcello , Calabrò Paolo Salvatore
Published: August 2023

Due to the scarcity of fresh water for crop irrigation in semi-arid areas, sustainable use of treated municipal wastewater is essential. Chlorine for wastewater disinfection added in wastewater treatment plants may be toxic for crops and can degrade cultivated soils. This study evaluates the crop and soil response to irrigation with treated municipal wastewater (with or without chlorination) in comparison to clear water. Small plants of tomato and cabbage and young bergamot trees were irrigated in pots throughout two months. The use of chlorinated or non-chlorinated wastewater did not significantly change biomass growth, morphological parameters and the efficiency of energy transfer. Significant reductions (40–50%) in the stem diameter of tomato and bergamot plants and differences (−25% to 53%) in all physiological parameters were measured for tomato immediately after the irrigation start. A decrease (−55%) in stomatal conductance and transpiration rate together with an increase (+80%) in water use efficiency were also recorded in bergamot after 30 days of irrigation. This type of irrigation water did not induce significant changes in soil properties, except for a decrease in pH (−20%) in bergamot soils after the irrigation start and in electric conductivity (EC, −40%) at the end of the irrigation period for all species. Irrigation of plants with chlorinated wastewater increased the weight of the fresh biomass (+56%) of leaves and the stem diameter (−60%) of tomato and decreased water use efficiency (+67%) in bergamot after the irrigation start. After two months, decreases in stomatal conductance and transpiration rate in cabbage (over 50%) and increases in water use efficiency in cabbage and bergamot (by 40% and 70%, respectively) were evident. Among the studied soil properties, land application of chlorinated wastewater only reduced electrical conductivity (−47%). Overall, this study demonstrated that the use of treated municipal wastewater (with or without chlorination) does not have detrimental impacts on both plant growth (at least for tomato, cabbage and bergamot) and soil health in the short term.
‘Should I Go or Should I Stay?’ Why Do Romanians Choose the Bulgarian Seaside for Their Summer Holiday?
Authors: Popescu Liliana , Albă Claudia Daniela , Mazilu Mirela , Șoșea Cristina
Published: August 2023

Until 2020, sea and sun destinations all over the world experienced a surge in the number of tourists, including those in Central and Eastern European countries. During and after the pandemic period, changes in the main source markets took place. Consequently, this paper aims to analyze the main reasons Romanian tourists choose a destination on the Romanian or Bulgarian seaside for their holiday, using semi-structured interviews with tourists and subsequently the narrative analysis technique. The results indicate that their reasons fall into four categories, namely: (i) hedonistic consumption (available products and services, amenities, and the physical environment); (ii) functional value (value for money, subsidies, quality of services, accessibility, and convenience); (iii) tourist hesitation (situational constraints and perceived risks); and (iv) social value. Additionally, based on their choices, we identified five main categories of tourists—two of them include tourists who travel to the Bulgarian resorts either due to the perceived higher quality of services or because it is the cheapest option, while the remaining three categories refer to tourists choosing the Romanian seaside. Implications for Romanian stakeholders are also discussed.
Predicting Contamination Spread Inside a Hospital Breakroom with Multiple Occupants Using High Fidelity Computational Fluid Dynamics Simulation on a Virtual Twin
Authors: Nagarajan Vijaisri , Fougere Nicolas , Schechter-Perkins Elissa M. , Baker William E. , Mann Adrien , Jilesen Jonathan , Altawil Zaid
Published: August 2023

Mitigating the rise and spread of contaminants is a major challenge faced during any contagious disease outbreak. In densely occupied areas, such as a breakroom, the risk of cross-contamination between healthy and infected individuals is significantly higher, thereby increasing the risk of further spread of infectious diseases. In this study, a high fidelity transient fluid solver and Lagrangian particle-based method were used to predict the airflow distribution and contaminant transmission inside a detailed 3D virtual twin of an emergency hospital breakroom. The solver efficiently captured the contaminants emitted simultaneously from multiple talking occupants as well as their propagation inside the breakroom. The influence of airflow distribution on the aerosol spread inside the breakroom for two different air conditioning vent positions was demonstrated with all occupants and with reduced occupants. The baseline simulation with all occupants in the breakroom showed a higher risk of contamination overall as well as between adjacent occupants. It was observed that there was a 26% reduction in the contaminants received by the occupants with the proposed modified vent arrangement and a 70% reduction with the scenarios considering a reduced number of occupants. Furthermore, the fomite deposition and cross-contamination between adjacent humans significantly changed with different ventilation layouts. Based on the simulation results, areas with higher contaminant concentrations were identified, providing information for the positioning of UV lights in the breakroom to efficiently eliminate/reduce the contaminants.
Examining the Relationship between Pro-Environmental Attitudes, Self-Determination, and Sustained Intention in Eco-Friendly Sports Participation: A Study on Plogging Participants
Authors: Kim Jongho , Kim Sujin , Chung Jinwook
Published: August 2023

In response to rising environmental concerns and the increase in eco-friendly sports activities, this study investigated the determinants of sustained intention to participate in plogging, a combination of jogging and litter collection. A total of 288 randomly assigned plogging participants were surveyed to discern the effects of autonomy, competence, and relatedness experiences on sustained plogging intentions as suggested by self-determination theory. The study also examined the moderating role of eco-friendly attitudes. The analysis, executed using multi-group structural equation modeling, revealed that while autonomy and competence did not significantly influence extrinsic motivation, relatedness emerged as the most influential factor. This suggests that plogging primarily serves as a prosocial behavior, enhancing relationships, rather than a means to increase physical competence. The values derived from plogging and the intention to continue varied based on the participants’ eco-friendly attitudes. The authors conclude that voluntary participation and socialization are the core values of plogging and understanding these can promote healthier and more sustainable behaviors.
Multi-Source Monitoring Data Fusion Comprehensive Evaluation Method for the Safety Status of Deep Foundation Pit
Authors: Wu Bo , Wei Yu , Meng Guowang , Xu Shixiang , Wang Qinshan , Cao Dianbin , Zhao Chenxu
Published: August 2023

Construction of the deep foundation pit (DFP) in subway stations is fraught with significant uncertainties, which may cause project delays due to discrepancies between single-indicator monitoring warning information and actual conditions at the site. Therefore, this article proposes a safety assessment method for DFP based on the Game-Cloud Model. An entirely quantitative assessment index system is established with on-site monitoring projects according to the design safety classification of DFP. Considering the one-sidedness of using a single method to determine the weights of assessment indices, game theory is introduced to calibrate the subjective and objective weights determined by the grey decision-making trial and evaluation laboratory (GDEMATEL) and the entropy method, respectively. Next, we use the forward cloud generator of the cloud model (CM) to generate the safety level membership function of the evaluation indicators. Finally, we quantitatively calculate the synthetic safety level of DFP using the comprehensive evaluation approach. A 19-day dynamic assessment was conducted on the actual engineering project by the proposed method. The results indicated that the synthetic safety level of the assessed area ranged between grades Ⅰ and Ⅱ, corresponding to Negligible and Acceptable in the acceptance criteria. Compared with the single-indicator monitoring warning results, it was more in line with on-site observation, which verified its reliability and practicality.
Evaluation of Supply and Demand Balance and Spatial Spillover Effect of Age-Friendly Environment
Authors: Qi Zheng , Li Qingling , Huang Qiang , Wu Tianyan
Published: August 2023

Given the rapid development of population aging, regions face significant challenges in providing diverse public service resources for the elderly. Constructing an age-friendly environment actively addresses population aging and ensures the well-being of the elderly. This study employed panel data from 31 provinces (municipalities) in China spanning the years 2014 to 2020. The research utilized a coupling coordination degree model, Theil index, Moran index method, and spatial econometric model to empirically examine the level of coupling coordination development, regional differences, and spatial spillover effects of age-friendly environments. The findings indicate the following: (1) In terms of coupling and coordination development, the degree of coupling and coordination of age-friendly environments in China shows a consistent upward trend over the years. The eastern region exhibits the highest level of development, surpassing the national average, while the western region has the lowest level, followed by the northeast and central regions. (2) In terms of regional development disparities, inter-regional differences gradually intensify due to variations in development status and resource endowment, playing a significant role in overall variations. Within regions, the highest intra-regional differences occur in the eastern region, while the lowest occur in the western region. (3) Considering the spatial spillover effect, the coupling coordination degree of age-friendly environments demonstrates positive spatial autocorrelation. Various development clusters and variables exert diverse influences on the coupling coordination degree of age-friendly environments within the region, while the spatial spillover effect of surrounding regions manifests distinct development patterns. The findings of this study contribute to enhancing the quality of age-friendly environment construction and promoting coordinated development among different regions.
Spatial Differences and Drivers of Tourism Ecological Security in China’s Border Areas
Authors: Wang Jie , Chen Xi , Zhang Zhaohui
Published: August 2023

Tourism activities generally have a ∩-type lock on the level of tourism ecological security in an area, but when applied to the border areas of China, there are certain specificities in the spatial evolution of tourism ecological security (TES) compared to traditional findings. This paper measures tourism ecological security in China’s border areas from 2009 to 2020 by using the DPSIR model with the SBM-DEA and analyzes the spatial differences, evolutionary characteristics, and driving factors of tourism ecological security in border areas by using Pearson’s correlation coefficients, center of gravity models, and Geodetectors: (1) The overall tourism ecological security index of China’s border provinces is relatively good. Tourism activities do not completely affect the traditional “∩ lock” of the border provinces. The tourism ecological security level of the border provinces presents three spatial-temporal changes (“∩” type, “U” type, and “\” type) and four evolution trends (“high-high-high”, “middle-middle-medium”, “medium-low-low”, and “low-low-low”). (2) The overall tourism ecological security level in border areas is polarized between high and low levels, and the ecological security efficiency of the three large areas is spatially characterized as “Southwest Area > Northeast Area > Northwest Area”, and the center of gravity of ecological security is mostly concentrated in Xinjiang, Tibet, and Neimenggu, where the ecological security level is higher. (3) Social and environmental factors are the main factors that influence tourism ecological security in border areas, while economic factors account for a smaller proportion. Accordingly, this thesis also proposes the driving mechanism of the ecological security of tourism sites in border areas in China with a view to providing theoretical support for policy formulation.
The Endowment Effect in the Circular Economy: Do Broken Products Face Less of a Trading Barrier Than Intact or Repaired Ones?
Authors: Botchway Ebo , Verpooten Jan , van der Beken Ine , Baršytė Justina , Dewitte Siegfried
Published: August 2023

Repairers may play a substantial role in the shift from a linear (make, use, dispose) to a more circular economy, where resources are continually reused and waste is minimized, which is therefore by definition more sustainable. Repaired defective products are usually reused by their owners or may be traded in a second-hand market. A barrier commonly associated with trading is the endowment effect, which is caused by the difference between the maximum amount buyers are willing to pay for a product and the minimum amount sellers are willing to accept for a product. The present study examined whether second-hand market exchanges face an endowment effect, including in situations where the products are broken and repairers are recruited to repair possible defects in the product. An online survey that randomly assigns participants to one of eight experimental conditions (four product types × two buyer/seller statuses) was used for this study. The results show significant endowment effects for intact products and defective products with a repairer involved, but not for defective products. Furthermore, endowment effects occur for different product types. This suggests that sellers may be reluctant to sell their products in terms of the value that buyers would want to pay for them when repairers are easily accessible, which may impede transactions from taking place. The transaction of broken products may be facilitated by designing a system whereby sellers sell broken products to repairers and buyers buy repaired products from repairers.