bluuebunny/crossref_metadata_2025 huggingface dataset:
Parallel Optimization for Large Scale Interferometric Synthetic Aperture Radar Data Processing
Authors: Zhang Weikang , You Haihang , Wang Chao , Zhang Hong , Tang Yixian
Published: March 2023

Interferometric synthetic aperture radar (InSAR) has developed rapidly over the past years and is considered as an important method for surface deformation monitoring, benefiting from growing data quantities and improving data quality. However, the handing of SAR big data poses significant challenges for related algorithms and pipeline, particularly in large-scale SAR data processing. In addition, InSAR algorithms are highly complex, and their task dependencies are intricate. There is a lack of efficient optimization models and task scheduling for InSAR pipeline. In this paper, we design parallel time-series InSAR processing models based on multi-thread technology for high efficiency in processing InSAR big data. These models concentrate on parallelizing critical algorithms that have high complexity, with a focus on deconstructing two computationally intensive algorithms through loop unrolling. Our parallel models have shown a significant improvement of 10–20 times in performance. We have also developed a parallel optimization tool, Simultaneous Task Automatic Runtime (STAR), which utilizes a data flow optimization strategy with thread pool technology to address the problem of low CPU utilization resulting from multiple modules and task dependencies in the InSAR processing pipeline. STAR provides a data-driven pipeline and enables concurrent execution of multiple tasks, with greater flexibility to keep the CPU busy and further improve CPU utilization through predetermined task flow. Additionally, a supercomputing-based system has been constructed for processing massive InSAR scientific big data and providing technical support for nationwide surface deformation measurement, in accordance with the framework of time series InSAR data processing. Using this system, we processed InSAR data with the volumes of 500 TB and 700 TB in 5 and 7 days, respectively. Finally we generated two maps of land surface deformation all over China.
Remotely Sensed Soil Moisture Assimilation in the Distributed Hydrological Model Based on the Error Subspace Transform Kalman Filter
Authors: Li Yibo , Cong Zhentao , Yang Dawen
Published: March 2023

The data assimilation of remotely sensed soil moisture observations provides a feasible path of improving river flow simulation. In this work, we studied the performance of the error subspace transform Kalman filter (ESTKF) assimilation algorithm on the assimilation of remotely sensed soil moisture from SMAP, including the improvement of soil moisture and river flow in the hydrological model. Additionally, we discussed the advantages and added value of ESTKF compared to the ensemble Kalman filter (EnKF) in a hydrological model. To achieve this objective, we solved the spatial resolution gap between the remotely sensed soil moisture and the simulated soil moisture of the hydrological model. The remotely sensed soil moisture from SMAP was assimilated into the first layer soil moisture in the distributed hydrological model. The spatial resolution of the hydrological model was 600 m, while the spatial resolution of the SMAP remotely sensed soil moisture was 9 km. There is a considerable gap between the two spatial resolutions. By employing observation operators and observation localization based on geolocation, the distributed hydrological model assimilated multiple remotely sensed soil moisture values for each grid, thereby ensuring the consistent updates of soil moisture in the model. The results show the following: (1) In terms of improving soil moisture, we found that both ESTKF and EnKF were effective, and the ubRMSE of ESTKF was lower than that of EnKF. (2) ESTKF improved most cases where open-loop high river flow simulations were too low, but EnKF did not improve this situation. (3) In ESTKF, the relative error of flood volume was reduced on average to 2.52%, but the relative error of flood peak did not improve. The results provide evidence of the value of ESTKF in the hydrological model.
Masked Graph Convolutional Network for Small Sample Classification of Hyperspectral Images
Authors: Liu Wenkai , Liu Bing , He Peipei , Hu Qingfeng , Gao Kuiliang , Li Hui
Published: March 2023

The deep learning method has achieved great success in hyperspectral image classification, but the lack of labeled training samples still restricts the development and application of deep learning methods. In order to deal with the problem of small samples in hyperspectral image classification, a novel small sample classification method based on rotation-invariant uniform local binary pattern (RULBP) features and a graph-based masked autoencoder is proposed in this paper. Firstly, the RULBP features of hyperspectral images are extracted, and then the k-nearest neighbor method is utilized to construct the graph. Furthermore, self-supervised learning is conducted on the constructed graph so that the model can learn to extract features more suitable for small sample classification. Since the self-supervised training mainly adopts the masked autoencoder method, only unlabeled samples are needed to complete the training. After training, only a small number of samples are used to fine-tune the graph convolutional network, so as to complete the classification of all nodes in the graph. A large number of classification experiments on three commonly used hyperspectral image datasets show that the proposed method could achieve higher classification accuracy with fewer labeled samples.
AERO: AI-Enabled Remote Sensing Observation with Onboard Edge Computing in UAVs
Authors: Koubaa Anis , Ammar Adel , Abdelkader Mohamed , Alhabashi Yasser , Ghouti Lahouari
Published: March 2023

Unmanned aerial vehicles (UAVs) equipped with computer vision capabilities have been widely utilized in several remote sensing applications, such as precision agriculture, environmental monitoring, and surveillance. However, the commercial usage of these UAVs in such applications is mostly performed manually, with humans being responsible for data observation or offline processing after data collection due to the lack of on board AI on edge. Other technical methods rely on the cloud computation offloading of AI applications, where inference is conducted on video streams, which can be unscalable and infeasible due to remote cloud servers’ limited connectivity and high latency. To overcome these issues, this paper presents a new approach to using edge computing in drones to enable the processing of extensive AI tasks onboard UAVs for remote sensing. We propose a cloud–edge hybrid system architecture where the edge is responsible for processing AI tasks and the cloud is responsible for data storage, manipulation, and visualization. We designed AERO, a UAV brain system with onboard AI capability using GPU-enabled edge devices. AERO is a novel multi-stage deep learning module that combines object detection (YOLOv4 and YOLOv7) and tracking (DeepSort) with TensorRT accelerators to capture objects of interest with high accuracy and transmit data to the cloud in real time without redundancy. AERO processes the detected objects over multiple consecutive frames to maximize detection accuracy. The experiments show a reduced false positive rate (0.7%), a low percentage of tracking identity switches (1.6%), and an average inference speed of 15.5 FPS on a Jetson Xavier AGX edge device.
Towards Decolonial Choreographies of Co-Resistance
Authors: Kelly Evadne , Rice Carla , Stonefish Mona
Published: March 2023

This article engages movement as a methodology for understanding the creative coalition work that we carried out for a project series called Into the Light (ITL) that used research from university archives to mount a museum exhibition and then develop an interactive public education site that counters histories and ongoing realities of colonial eugenics and their exclusionary ideas of what it means to be human in Canada’s educational institutions. We address different movement practices, both those initiated by ableist-colonial forces to destroy difference and by our coalition of co-resistors to affirm difference. We apply a decolonizing and Anishinaabe philosophical lens alongside a feminist disability-informed neomaterialist and dance studies one to theorize examples of ITL’s “choreographies of co-resistance”. Anishinaabe knowledge practices refuse and thus interfere with colonial-eugenic practices of erasure while enacting an ethic of self-determination and mutual respect for difference. The ripple effect of this decolonizing and difference-affirming interference reverberates through our words and moves at varying tempos through our bodies—traveling through flesh, holding up at bones, and passing through watery, stretchy connective tissue pathways. These are our choreographies of co-resistance as actions of mattering and world-building.
Correction: Zemlyak et al. Measuring the Entrepreneurial Mindset: The Motivations behind the Behavioral Intentions of Starting a Sustainable Business. Sustainability 2022, 14, 15997
Authors: Zemlyak Svetlana , Naumenkov Alexey , Khromenkova Galina
Published: March 2023

The authors would like to make the following corrections about the published paper [...]
New Urea Controlled-Release Fertilizers Based on Bentonite and Carnauba Wax
Authors: Neto João Fernandes Duarte , Fernandes Jucielle Veras , Rodrigues Alisson Mendes , Menezes Romualdo Rodrigues , Neves Gelmires de Araújo
Published: March 2023

Controlled-release fertilizers are interesting alternatives to current commercial chemical fertilizers, which present a higher nutrient release rate, and can negatively impact the ecosystem. In this work, two urea controlled-release fertilizer types were manufactured from carnauba wax (CW), commercial granulated urea (U), and natural and sodium bentonite (Bent-R and Bent-Na, respectively). In the first type, the mechanochemical method produced fertilizers in bars, from a mixture containing different proportions of U, Bent-R, and Bent-Na. In the second type, the dip-coating method was used to coat urea bars with coatings containing different proportions of the Bent-R, Bent-Na, and CW. The cumulative urea release was evaluated over the 30-day incubation period, through soil columns tests and UV/visible spectroscopy. Overall, both fertilizers developed in this work presented lower cumulative urea release than standard fertilizers. On the other hand, the new fertilizers produced from the dip-coating method, provided cumulative urea release lower than that obtained by the mechanochemical method. In summary, carnauba wax and bentonite (raw and sodium modified) are promising materials for developing new urea controlled-release fertilizers. Furthermore, both carnauba wax and bentonite are non-toxic, biodegradable, relatively inexpensive, and created from materials that are easily purchased in Brazil, indicating that the new fertilizers developed in this work have the potential to be produced on a large scale.
Understanding the Mechanisms of Earth Fissuring for Hazard Mitigation in Najran, Saudi Arabia
Authors: Alsaiari Mabkhoot , Nwafor Basil Onyekayahweh , Hermana Maman , Hassan H. M. Al Marzouki , Irfan Mohammed
Published: March 2023

Being a fast-growing city with a high rate of urbanization and agricultural development, the city of Najran, situated in the southwest of the Kingdom of Saudi Arabia, has witnessed a series of earth fissuring events and some other geo-environmental hazards in recent times. These fissures have posed a significant threat to inhabitants and infrastructure in the area. A few studies suggest that excessive groundwater withdrawal is responsible for fissuring activities. Because of the intensity of this geo-hazard, this article presupposes that groundwater extraction alone cannot be responsible for the magnitude of fissuring activity in the area and discusses other severe factors that could be responsible for the earth fissures. The study proposes that the cause of the problem is multifaceted and synergistic, and outlines threatening factors that can inherently trigger more fissures in the region, based on the geologic history of the area and a critical review of investigative studies conducted in the area and beyond. Predicated on the region’s structural history, some undiscovered elements that can potentially cause fissuring in the region were identified and discussed. Some of these include the pre-existence of a fault system, a crack from the bedrock ridge, the existence of paleochannels, the collapsibility of loess, the tectonic (earthquake) history of the area, and differential compaction due to heterogeneity. The use of a metaheuristic and a combined application integrating other optimization algorithms can be utilized to determine optimum hyperparameters and present their statistical importance, thereby improving accuracy and dependability in fissure prediction in Najran. Reliable models would primarily be used to monitor active fissures and identify key factors utilizing spatial information, subsidence, groundwater-related data sets, etc.
Role of Social Media in Managing Knowledge of the Young Generation in the Sustainability Area
Authors: Pabian Arnold , Pabian Barbara
Published: March 2023

Knowledge plays a significant role in the area of sustainability. It is indispensable for taking the right pro-environmental and pro-social action. One of its sources is social media. The young generation is the largest group of social media users. The aim of this article is to discover whether social media is properly fulfilling its role in managing the sustainability knowledge of the young generation, taking into account the acquisition, collection and development of knowledge, as well as its dissemination and use. To address this issue, the authors conducted a survey on a representative sample of 1100 persons aged 15–24. The survey was quantitative in nature. The research tool constituted a survey form. The CAWI (computer-assisted web interview) technique was used to collect information. The collected data was analysed using mainly exploratory data analysis. Column, bar and line charts were used to visualise the data. The study discovered that social media, although highly popular among young people, makes an insufficient contribution to the management of their knowledge in the area studied. A significant proportion of the young generation rarely or never encounter sustainability content in these media (48.1% on average). On average, 22.7% of young people find this content unattractive. The majority of young people (60% or more) do not read all sustainability messages in detail. Approximately 1/3 of the young generation does not gather or develop knowledge in this area. A significant proportion of young people do not share such knowledge and, even worse, it does not inspire them to take up environmental and pro-social activities. The conclusions of the study and the solutions proposed by the authors can contribute to a better use of social media in the management of the young generation’s sustainability knowledge.
Mercury Enrichment Characteristics and Rhizosphere Bacterial Community of Ramie (Boehmeria Nivea L. Gaud.) in Mercury-Contaminated Soil
Authors: Li Xiuhua , Wang Xiaomi , Zhao Ling , Wang Zuopeng , Teng Ying , Luo Yongming
Published: March 2023

Phytoremediation is a promising technique for reducing mercury (Hg) pollution. Little is known about the phytoremediation potential of ramie (Boehmeria nivea L. Gaud.) and the response of its rhizosphere soil microbiome to Hg contamination. In this study, we planted ramie in three plots contaminated with different levels of Hg pollution and evaluated ramie Hg accumulation and translocation. We also analyzed the abundance, composition, and predominant taxa of the rhizosphere soil bacterial community. Results showed that the average THg concentration decreased by 30.80%, 18.36%, and 16.31% in plots L, M, and H, respectively. Ramie displayed strong Hg tolerance and good Hg accumulation performance, especially in soil contaminated with a low level of Hg. After ramie planting, soil SOM and CEC increased while pH, Eh, and THg content decreased in rhizosphere soil. Proteobacteria, Actinobacteriota, Gemmatimonadota, Latescibacterota, and NB1-j were identified as potential Hg-tolerant taxa at the phylum level, and their abundance increased in highly Hg-contaminated soil. Redundancy and correlation analyses indicated that soil bacterial community structure was significantly correlated with soil pH, Eh, and Hg content. This study provides a better understanding of the phytoremediation capacity of ramie and its rhizosphere function and thus lays a theoretical foundation for the phytoremediation of Hg-contaminated soils.
The Adoption of Robo-Advisory among Millennials in the 21st Century: Trust, Usability and Knowledge Perception
Authors: Yi Tan Zi , Rom Noor Ashikin Mohd , Hassan Nurbani Md. , Samsurijan Mohamad Shaharudin , Ebekozien Andrew
Published: March 2023

Robo-advisor has become the new personal wealth management and investment method. Nonetheless, certain predicaments are faced by robo-advisor companies as a tech-savvy young group of individuals seems to be less willing to adopt robo-advisory. This study investigates millennials’ adoption of robo-advisory in terms of financial knowledge, trust and usability perception in the 21st century to enhance sustainability. This quantitative study focuses on individuals belonging to the millennial generation who were born between 1981 and 1996. The findings indicate that the millennials who possess financial knowledge, as well as perceived usability and trust have a significant positive effect on the willingness to embrace robo-advisory as a tool for wealth management. The higher the financial knowledge of an individual, the more likely they are willing to adopt a robo-advisor. Government may provide appropriate avenues to enhance financial knowledge, and credible and user-friendly platforms with resources to boost the millennials’ usage of robo-advisors for their wealth management. With robust artificial intelligence, robo-advisory continues to support users, especially millennials, through three dimensions of sustainable development: environment, society, and economy.
Kinetic and Equilibrium Studies on the Adsorption of Lead and Cadmium from Aqueous Solution Using Scenedesmus sp.
Authors: Waqar Rooma , Kaleem Muhammad , Iqbal Javed , Minhas Lubna Anjum , Haris Muhammad , Chalgham Wadie , Ahmad Ajaz , Mumtaz Abdul Samad
Published: March 2023

The current study aimed to investigate the viability and characteristics of Scenedesmus sp. as an adsorbent system to remove lead (Pb) and cadmium (Cd) through an in vitro exposure to a metal solution. In batch sorption experiments, the effects of pH, contact time, initial concentration of metal ions, and sorbent dosage on the adsorption process were trialed. The ideal biosorption conditions for each of the two metals were recorded. The biosorption process was quick, and the equilibrium times for the above-mentioned metals were recorded as 90 and 60 min, with removal percentages of 85% and 83%, respectively. The point zero charge of algal biomass was 4.5, which indicates a negative charge on the surface of the biosorbent. The model-based assessment of the biosorption process was revealed to have followed pseudo-second-order kinetics. The adsorption isotherms for lead and cadmium achieved a best fit with the Langmuir model, with monolayer biosorption capacities of 102 and 128 mg g−1, respectively. The desorption of both metals achieved more than 70% by using HCl. The FT-IR revealed the presence of hydroxyl and amine groups on the surface of the adsorbent that are involved in the biosorption process, and morphological changes were assessed by SEM. Hence, Scenedesmus sp. from a Himalayan provenance showed considerable promise as an alternate sorbent for the treatment of heavy-metal-contaminated wastewater.
Resilience Improvement and Risk Management of Multimodal Transport Logistics in the Post–COVID-19 Era: The Case of TIR-Based Sea–Road Multimodal Transport Logistics
Authors: Liao Riqing , Liu Wei , Yuan Yuandao
Published: March 2023

The COVID-19 pandemic has severely impacted international economics and trade, including cargo transportation. As a result, enhancing the resilience of transport and logistics in the post–COVID-19 era has become a general trend. Multimodal transport, with its advantages of speed, large volume and multiple modes, has increasingly gained attention from countries worldwide. However, multimodal transport logistics is a complex and systematic process. Its smooth flow depends not only on the transport itself, but also on the efficient supervision of customs and other government departments at ports. This study employs the theory and method of a super-network to establish a model of multimodal transport logistics, which includes TIR-based sea–road multimodal transport and customs supervision relationships. Structural and resilience-related characteristics of the super-network are analyzed, and performance parameters of the super-network are proposed. A simulation analysis is conducted, and based on the results, countermeasures to improve the resilience and promote risk management of multimodal transport logistics in the post–COVID-19 era are suggested. The findings of this study provide an exploration of more effective ways to ensure the smoothness of multimodal transport logistics and improve system resilience. The study concludes with theoretical and managerial implications.
Estimation of the Potential Global Nitrogen Flow in a Nitrogen Recycling System with Industrial Countermeasures
Authors: Tsunemi Kiyotaka , Kawamoto Tohru , Matsumoto Hideyuki
Published: March 2023

This study proposes a nitrogen recycling system that collects and recycles nitrogen compounds from waste gases in the industrial sector, such as those from stationary sources, from industrially processed wastewater containing livestock effluent, and from household wastewater. Multiple scenarios are set, and the potential global flows of anthropogenic nitrogen in 2050 are estimated and compared to assess the effects on the largest planetary boundary problem. In contrast to the business-as-usual (BAU) scenario, in which environmental conditions are worsened through a 47% increase in nitrogen emissions by 2050 above the 2010 levels, the agricultural countermeasures scenario produced a reduction in emissions which was less than the 2010 levels. The industrial countermeasures scenario proposed in this study achieved comfortable reductions in nitrogen production by constructing a nitrogen recycling system that installs the nitrogen compounds to ammonia (NTA) technologies. Combining the agricultural and industrial countermeasures achieves a 66% reduction in nitrogen emissions compared with the BAU scenario in 2050. The combination of both countermeasures with a high installation rate of NTA technologies can achieve the reduction of nitrogen emissions beneath the planetary boundary.
Evaluating the Urban-Rural Differences in the Environmental Factors Affecting Amphibian Roadkill
Authors: Zhao Jingxuan , Yu Weiyu , He Kun , Zhao Kun , Zhou Chunliang , Wright Jim A. , Li Fayun
Published: March 2023

Roads have major impacts on wildlife, and the most direct negative effect is through deadly collisions with vehicles, i.e., roadkill. Amphibians are the most frequently road-killed animal group. Due to the significant differences between urban and rural environments, the potential urban-rural differences in factors driving amphibian roadkill risks should be incorporated into the planning of mitigation measures. Drawing on a citizen-collected roadkill dataset from Taiwan island, we present a MaxEnt based modelling analysis to examine potential urban-rural differences in landscape features and environmental factors associated with amphibian road mortality. By incorporating with the Global Human Settlement Layer Settlement Model—an ancillary human settlement dataset divided by built-up area and population density—amphibian roadkill data were divided into urban and rural data sets, and then used to create separate models for urban and rural areas. Model diagnostics suggested good performance (all AUCs > 0.8) of both urban and rural models. Multiple variable importance evaluations revealed significant differences between urban and rural areas. The importance of environmental variables was evaluated based on percent contribution, permutation importance and the Jackknife test. According to the overall results, road density was found to be important in explaining the amphibian roadkill in rural areas, whilst precipitation of warmest quarter was found to best explain the amphibian roadkill in the urban context. The method and outputs illustrated in this study can be useful tools to better understand amphibian road mortality in urban and rural environments and to inform mitigation assessment and conservation planning.
Understanding the Inhibition Mechanism of Lignin Adsorption to Cellulase in Terms of Changes in Composition and Conformation of Free Enzymes
Authors: Cui Can , Yan Cancan , Wang Ailin , Chen Cui , Chen Dan , Liu Shiwei , Li Lu , Wu Qiong , Liu Yue , Liu Yuxiang , Nie Genkuo , Jiang Xiaoqing , Nie Shuangxi , Yao Shuangquan , Yu Hailong
Published: March 2023

The adsorption of lignin to cellulase is the major obstacle in the sugar-platform conversion of lignocellulosic bioresources. In this study, the adsorption behavior of untreated and pretreated lignin samples from corn stover to cellulase was investigated, in particular the effects of lignin adsorption on the composition and spatial conformation of free enzymes were explored. The results showed that pretreatments decreased the hydrophobic groups contents of lignin, i.e., aromatic ring, ether and carbonyl, as well as the content of ionizable group, i.e., carboxyl, which reduced its hydrophobicity and negative charge density, thus weakening the adsorption ability of lignin to cellulase. The lignin samples mainly adsorbed the CBHII component of cellulase to inhibit the synergistic effect of free enzymes. Lignin adsorption altered the spatial position of tryptophan residues in free enzymes, exposing them to the protein surface. In addition, the secondary structure of free enzymes was altered, with a decrease in the alpha-helix content and an increase in the random coil content, thus loosening the spatial conformation of free enzymes. The change degree in the spatial structure of free enzymes correlated with the adsorption capacity of the lignin, i.e., lignin with low adsorption capacity caused the least damage to free enzyme, with NaOH pretreated lignin being the best. It appears that appropriate pretreatment and chemical modification of enzymes to resist lignin adsorption is a promising long-term pathway to overcome the lignin inhibition during sugar-platform conversion of lignocellulosic bioresources.
The Nonlinear Relationship between Intellectual Property Protection and Farmers’ Entrepreneurship: An Empirical Analysis Based on CHFS Data
Authors: Liu Xinmin , Zheng Yue , Yu Wencheng
Published: March 2023

Using data from three rounds of the China Household Finance Survey (CHFS) in 2015, 2017 and 2019, this paper analyzes the impact and mechanism of the action of intellectual property protection on farm household entrepreneurship, based on institutional theory. It is found that: an inverted U-shaped relationship is shown between IPR protection and farm household entrepreneurship, but combined with the results of further research on farm household entrepreneurship performance, there is a positive effect of IPR protection and entrepreneurship performance. This indicates that excessive IPR protection, although limiting the number of entrepreneurship, boosts high-quality entrepreneurship; regional investment plays a mediating role between IPR protection and farm household entrepreneurship; and the results for IP protection and farmer opportunity entrepreneurship are the same as the baseline regression but have no significant effect on farmer initiative entrepreneurship, suggesting that IP protection more often increases farmers’ access to entrepreneurship. The above findings expand the application of “protecting intellectual property is protecting innovation” in farmers’ entrepreneurship and provide ideas for the implementation of intellectual property to promote, enrich and strengthen agriculture.
Impact of Fine Slag Aggregates on the Final Durability of Coal Bottom Ash to Produce Sustainable Concrete
Authors: Ganesan Halan , Sachdeva Abhishek , Petrounias Petros , Lampropoulou Paraskevi , Sharma Pushpendra Kumar , Kumar Abhinav
Published: March 2023

In the current investigation is presented the prospective substitution of cement and fine aggregates with fine slag material (Alccofine 1203) and coal bottom ash, respectively. The investigation was carried out in two steps, viz. Phase I and Phase II. In Phase I, a control mix was designed with basic ingredients of concrete, and then fine aggregates were partially replaced with five percentages (10%, 20%, 30%, 40% and 50%) of coal bottom ash (CBA). To improve the characteristics of coal bottom ash concrete mixtures, ultra-fine slag material, i.e., Alccofine 1203 (an innovative ultra-fine slag material, low calcium silicate, which offers reduced water demand depending upon the concrete performance) was used as a partial replacement of cement. In Phase II, the inspected effect of replacing 5%, 10%, 15% and 20% cement with Alccofine, a concrete mix containing 40% coal bottom ash, on concrete properties such as workability, compressive strength, split tensile strength, flexural strength, pulse velocity, rapid chloride penetration along with a microstructural analysis using SEM was studied. It was concluded from cost analysis that the 15% replacement of cement with ultra-fine material Alccofine in 40% coal bottom ash concrete achieved the properties of high-strength concrete, with an 8.14% increase in cost compared to the control increase. The significance of this work lies in the fact that we achieved a high-strength concrete by using 40% industrial waste, i.e., coal bottom ash, as a partial replacement of fine aggregates in combination with the 15% Alccofine inclusion as a partial replacement of cement. About 58% improvement in compressive strength was recorded for 40% coal bottom ash and 15% Alccofine mix.
Microbe-Assisted Rhizoremediation of Hydrocarbons and Growth Promotion of Chickpea Plants in Petroleum Hydrocarbons-Contaminated Soil
Authors: Ali Muhammad Hayder , Khan Muhammad Imran , Naveed Muhammad , Tanvir Muhammad Ayyoub
Published: March 2023

The present work aimed to develop and investigate microbial consortia for petroleum hydrocarbons (PHCs) detoxification and plant growth improvement in hydrocarbons-contaminated soil. Here, we isolated several bacteria from PHCs-contaminated soils to make bacterial consortia and two of the best consortia were tested in a pot experiment to evaluate their potential for PHCs removal and chickpea growth promotion in PHCs-contaminated soil. Results demonstrated that the PHCs exerted considerable phytotoxic effects on chickpea growth and physiology by causing a 13–29% and a 12–43% reduction in agronomic and physiological traits, respectively. However, in the presence of bacterial consortia, the phytotoxicity of PHCs to chickpea plants was minimized, resulting in a 7.0–24% and a 6.0–35% increase in agronomic and physiological traits, respectively over un-inoculated controls. Bacterial consortia also boosted nutrient uptake and the antioxidant mechanism of the chickpea. In addition, chickpea plants alone phytoremediated 52% of initial PHCs concentration. The addition of bacterial consortia in the presence of chickpea plants could remove 74–80% of the initial PHCs concentration in soil. Based on our research findings, we suggest that the use of multi-trait bacterial consortia could be a sustainable and environmentally friendly strategy for PHCs remediation and plant growth promotion in hydrocarbons in contaminated soil.
The Impact of Optimizing Industrial Energy Efficiency on Agricultural Development in OECD Countries
Authors: Shang Haiyang , Feng Ying , Lu Ching-Cheng , Yang Chih-Yu
Published: March 2023

This study evaluates the impact of industrial energy efficiency on agricultural development in the 31 member countries of the Organization for Economic Cooperation and Development (OECD) from 2015 to 2019. Using dynamic network slack-based measures (DN-SBM) and dynamic network total factor productivity (DN-TFP) indicators, dynamic cross-period information is used to assess the changes in efficiency and productivity of the industrial and agricultural sectors. The empirical results show that the industrial sector of the OECD is more efficient than the agricultural sector, and while some countries have low efficiency, productivity tends to improve. The study has three contributions: 1. Using the concept of the water–energy–food (WEF) nexus as a framework and combining its elements with variables to evaluate the efficiency performance of OECD countries; 2. using a dynamic two-stage DN-SBM model to objectively assess the overall efficiency value and provide improvement suggestions for different stages; 3. a comprehensive analysis of efficiency and productivity; the results can serve as a reference for OECD countries when formulating policies
Special Characteristics and Stability Analysis of Bank Slope Deposits with Special Geotechnical Structures in High and Cold Valleys
Authors: Wu Shuyu , Hu Daru , Wen Tao
Published: March 2023

Due to the special internal and external dynamic action of the Qinghai-Tibet Plateau, the high and cold valleys are typically characterized by high-steep terrain, dry and cold climate, lithologic diversity, complex geological structure, and frequent occurrence of earthquakes. In this study, the types of special geotechnical structures of bank slope deposits in high and cold valleys are summarized based on field investigation, field and laboratory tests, and numerical simulation. These special deposits include colluvial-deluvial deposits, terrace deposits, early debris flow deposits, and landslide deposits. The formation mechanism, physical and mechanical properties, and stability analysis of these deposits were studied. The results show that the formation mechanism of various deposits is different, which is closely related to the intense geological tectonic action, the weathering and unloading action intensified by freezing and thawing cycles, and the special rock and soil structure in the high and cold valleys. Different material compositions have obvious effects on the physical and mechanical properties of the deposits, thus affecting the stability and deformation characteristics of the deposits. Under natural and saturated conditions, the stability of different types of the deposits is different, which is mainly related to the special geotechnical structure of various deposits. Compared with that before the reservoir impoundment, the stability factor of various deposits after the reservoir impoundment is significantly reduced. The performances can be provided as a reference for evaluating the stability of bank slope deposits in high and cold valleys.
Two-Stage Robust Optimal Scheduling of Flexible Distribution Networks Based on Pairwise Convex Hull
Authors: Yang Haiyue , Yuan Shenghui , Wang Zhaoqian , Liang Dong
Published: March 2023

With distributed generation (DG) being continuously connected into distribution networks, the stochastic and fluctuating nature of its power generation brings ever more problems than before, such as increasing operating costs and frequent voltage violations. However, existing robust scheduling methods of flexible resources tend to make rather conservative decisions, resulting in high operation costs. In view of this, a two-stage robust optimal scheduling method for flexible distribution networks is proposed in this paper, based on the pairwise convex hull (PWCH) uncertainty set. A two-stage robust scheduling model is first formulated considering coordination among on-load tap changers, energy storage systems and flexible distribution switches. In the first stage, the temporal correlated OLTCs and energy storage systems are globally scheduled using day-ahead forecasted DG outputs. In the second stage, FDSs are scheduled in real time in each time period based on the first-stage decisions and accurate short-term forecasted DG outputs. The spatial correlation and uncertainties of the outputs of multiple DGs are modeled based on the PWCH, such that the decision conservativeness can be reduced by cutting regions in the box with low probability of occurrence. The improved column-and-constraint generation algorithm is then used to solve the robust optimization model. Through alternating iterations of auxiliary variables and dual variables, the nonconvex bilinear terms induced by the PWCH are eliminated, and the subproblem is significantly accelerated. Test results on the 33-bus distribution system and a realistic 104-bus distribution system validate that the proposed PWCH-based method can obtain much less conservative scheduling schemes than using the box uncertainty set.
Identifying Critical Indicators in Performance Evaluation of Green Supply Chains Using Hybrid Multiple-Criteria Decision-Making
Authors: Zhang Changlu , Tang Liqian , Zhang Jian
Published: March 2023

Performance evaluation of green supply chains (GSC) is an important tool to improve their comprehensive management. Identifying critical indicators is crucial to evaluation. This study examines the critical indicators in performance evaluations of GPC and provides relevant suggestions for managers to improve GSCs’ performances. Firstly, we summarized 24 evaluation indicators from five dimensions—financial value, customer service-level, business processes, innovation and development, and the so-called green level. Secondly, the Delphi method was used to determine the formal research framework. The fuzzy decision-making trial and evaluation laboratory based analytic network process (fuzzy DEMATEL-based ANP) model was applied. The weighted prominence of each indicator was calculated to identify those that were critical, and a causality diagram was constructed for them. Finally, corresponding countermeasures and implications regarding those were put forward. The research results show that the critical indicators include the return rate of net assets, the growth rate of profit, the rate of service satisfaction, market share, production flexibility, and the green consensus. Among them, the green consensus, the growth rate of profit and the rate of service satisfaction form a virtuous circle, leading to the improvement of the overall performance of GSC.
Conditions Driving Youth Employment in Key Sectors of the Nigerian Economy
Authors: Edewor Sarah Edore , Kollie Genesis B. , Olaoye Ibukun James
Published: March 2023

The rising incidence of youth unemployment, especially in emerging economies, calls for prompt attention of development experts and policy makers given its effect on sustainable growth. This challenge has worsened in recent times in Nigeria, hence, making it crucial to understand the factors driving youth employment. We analyzed the differential impact of sectoral growth on youth employment across rural and urban areas through a gender lens and identified the specific conditions needed for investment in sectors with potentials for job creation in the Nigerian economy. Data were analyzed using descriptive statistics, revealed comparative advantage (RCA), employment elasticity, and Logit regression model. It was observed that Nigeria has demonstrated a comparative advantage in the export of 17 products. Our findings also revealed that all the economic sectors in Nigeria have potential for creating employment at different levels with financial services contributing the highest (0.734) and manufacturing the lowest (0.056). The increase in education influenced employment and a higher likelihood of male youths’ employment in the services, construction, and industry sectors as compared to more female youths in the trade sector. Some common conditions that could aid firms’ production scale-up and increase job creation across all sectors include: increased access to finance, improved infrastructure (road, water, air, power, and rail), and favorable interest rates and exchange rates. We recommend that concerted effort be targeted at mainstreaming gender in all sectoral policies and key sectors be strengthened through targeted welfare reforms aimed at enhancing the capacities of the youths for sectoral relevance.
Generation of Spherical Microparticles of Moringa Leaves through a Supercritical Antisolvent Extraction Process
Authors: Montes Antonio , Valor Diego , Pereyra Clara , Martínez de la Ossa Enrique
Published: March 2023

The objective of this work was evaluation of the supercritical antisolvent extraction (SAE) process to generate microparticles with antioxidant activity from Moringa leaves. A biodegradable polymer was used as an inductor of particle precipitation. An ethanolic extract of 25 mg/mL was used in the SAE process, during which the influences of pressure (100–200 bar), temperature (35–55 °C) and extract–polymer ratio (0.11–0.33) on particle size and antioxidant activity were evaluated. An extract flow rate of 3 mL/min, a supercritical CO2 (scCO2) flow rate of 30 g CO2/min and a nozzle diameter of 100 µm were kept constant. The identification of several compounds of Moringa leaves, namely, coumaric acid and quercetin 3D glucoside, were determined with ultra-performance liquid chromatography coupled with mass spectrometry. The antioxidant activity of the extract and the precipitates was measured with 2,2-Diphenyl-1-picrylhydrazyl. Spherical microparticles with diameters in the range of 2–5 µm were obtained, with moderate antioxidant activity.
Cyrene™, a Sustainable Solution for Graffiti Paint Removal
Authors: Milescu Roxana A. , Farmer Thomas J. , Sherwood James , McElroy Con R. , Clark James H.
Published: March 2023

Graffiti can create detrimental aesthetic and environmental damage to city infrastructure and cultural heritage and requires improved removal methods. Incumbent laser, mechanical and chemical removal techniques are often not effective, are expensive or damage the substrate. Solvents are generally hazardous and not always effective because of the insolubility of the graffiti paint. This study proposes a simple strategy for safe and effective graffiti removal, using the bio-based, non-toxic and biodegradable solvent dihydrolevoglucosenone (Cyrene™). The results showed that the type of substrate influenced the cleaning performance; in benchmark studies a non-porous substrate was easy to clean, while porous ceramic showed the presence of residual paint and yellowing when the conventional polar aprotic solvents were used. Cyrene, however, showed good removability of graffiti paint from both glazed and porous substrates, with little paint remaining in the pores of ceramic tiles. The paint suffered a reversible change in colour and a selective solubility of its components when using N-methyl-2-pyrrolidone; no changes occurred when Cyrene was used. While N-methyl-2-pyrrolidone and N,N′-dimethylformamide were only effective when neat, a Cyrene–water mixture showed some cleaning results. The performance of Cyrene was validated with Hansen solubility parameters and represents a greener and more sustainable solvent for paint removal.
Kinetic Interaction between an Electron Flow with a Wide Velocity Spread and a Short-Adjusted Slipping Wave Pulse at the Cherenkov Resonance
Authors: Bespalov Peter , Kuleshova Vitalia , Savilov Andrei
Published: March 2023

In this study, kinetic interaction at the Cherenkov resonance between an electromagnetic wave pulse and a flow of electrons possessing a wide velocity spread at the scale of the characteristic range of the resonant electron wave interaction is considered. Due to the absence of a distribution function slope in the range of velocities corresponding to the electron wave’s resonance, an electron’s flow is a nearly stable media from the point of view of its interaction with a long enough wave pulse. In this paper, we explain our findings on the process of electron interaction with potential relief where the wave pulse is so short that the characteristic scale of the wave amplitude’s inhomogeneity and the profile of the potential relief is comparable to the wavelength. We show that if an appropriate slippage between the phase and group velocities of the wave is provided, then the reflection process of particles from “fast” and “slow” close-to-resonance velocity fractions becomes non-symmetrical. This can provide a mechanism of amplification of short intensive wave pulses with electron flows with very large velocity spreads.
Studies on Special Polynomials Involving Degenerate Appell Polynomials and Fractional Derivative
Authors: Wani Shahid Ahmad , Abuasbeh Kinda , Oros Georgia Irina , Trabelsi Salma
Published: March 2023

The focus of the research presented in this paper is on a new generalized family of degenerate three-variable Hermite–Appell polynomials defined here using a fractional derivative. The research was motivated by the investigations on the degenerate three-variable Hermite-based Appell polynomials introduced by R. Alyosuf. We show in the paper that, for certain values, the well-known degenerate Hermite–Appell polynomials, three-variable Hermite–Appell polynomials and Appell polynomials are seen as particular cases for this new family. As new results of the investigation, the operational rule for this new generalized family is introduced and the explicit summation formula is established. Furthermore, using the determinant formulation of the Appell polynomials, the determinant form for the new generalized family is obtained and the recurrence relations are also determined considering the generating expression of the polynomials contained in the new generalized family. Certain applications of the generalized three-variable Hermite–Appell polynomials are also presented showing the connection with the equivalent results for the degenerate Hermite–Bernoulli and Hermite–Euler polynomials with three variables.
The Collins Asymmetry in Λ Hyperon Produced SIDIS Process at Electron–Ion Colliders
Authors: Yang Shuailiang , Xu Qi , Zhang Yateng , Wang Xiaoyu
Published: March 2023

We investigate Collins asymmetry in the Λ hyperon produced semi-inclusive deep inelastic scattering (SIDIS) process based on the kinematical region of Electron-ion collider in China (EicC) and Electron–ion collider (EIC) within the transverse momentum dependence (TMD) factorization framework at next-to-leading-logarithmic order. The asymmetry is contributed by the convolution of the target proton transversity distribution function and the Collins function of the final-state Λ hyperon. The TMD evolution effect of the corresponding parton distribution functions (PDFs) and fragmentation functions (FFs) is considered with the help of parametrization of the non-perturbative Sudakov form factors for the proton PDFs and Λ fragmentation functions. We apply the parametrization of the collinear proton transversity distribution function and the model results of Λ Collins function from the diquark spectator model as the inputs of the TMD evolution to numerically calculate Collins asymmetry in Λ produced SIDIS process at the kinematical configurations of EIC and EicC. It can be shown that the asymmetry is significant and can be measured at EIC and EicC. The flavor dependence of transversity distribution functions could be further constrained by studying the Λ hyperon produced SIDIS process in the future to improve our understanding of the spin structure within nucleons.