bluuebunny/crossref_metadata_2025 huggingface dataset:
Short-Term and Imminent Rainfall Prediction Model Based on ConvLSTM and SmaAT-UNet
Authors: Liao Yuanyuan , Lu Shouqian , Yin Gang
Published: June 2024

Short-term precipitation forecasting methods are mainly divided into statistical forecasting, numerical model-based forecasting, and radar image extrapolation techniques. The two methods based on statistical prediction and numerical model have the disadvantages of being unstable and generating large errors. Therefore, this study proposes the use of deep learning for radar image extrapolation for precipitation forecasting, in particular by developing algorithms for ConvLSTM and SmaAT-UNet. The ConvLSTM model is a fusion of a CNN (Convolutional Neural Network) and LSTM (Long Short-Term Memory network), which solves the challenge of processing spatial sequence data, which is a task that traditional LSTM models cannot accomplish. At the same time, SmaAT-UNet enhances the traditional UNet structure by incorporating the CBAM (Convolutional Block Attention Module) attention mechanism and replacing the standard convolutional layer with depthwise separable convolution. This innovative approach aims to improve the efficiency and accuracy of short-term precipitation forecasting by improving feature extraction and data processing techniques. Evaluation and analysis of experimental data show that both models exhibit good predictive ability, with the SmaAT-UNet model outperforming ConvLSTM in terms of accuracy. The results show that the performance indicators of precipitation prediction, especially detection probability (POD) and the Critical Success index (CSI), show a downward trend with the extension of the prediction time. This trend highlights the inherent challenges of maintaining predictive accuracy over longer periods of time and highlights the superior performance and resilience of the SmaAT-UNet model under these conditions. Compared with the statistical forecasting method and numerical model forecasting method, its accuracy in short-term rainfall forecasting is improved.
Under-Actuated Motion Control of Haidou-1 ARV Using Data-Driven, Model-Free Adaptive Sliding Mode Control Method
Authors: Li Jixu , Tang Yuangui , Zhao Hongyin , Wang Jian , Lu Yang , Dou Rui
Published: June 2024

We propose a data-driven, model-free adaptive sliding mode control (MFASMC) approach to address the Haidou-1 ARV under-actuated motion control problem with uncertainties, including external disturbances and parameter perturbations. Firstly, we analyzed the two main difficulties in the motion control of Haidou-1 ARV. Secondly, in order to address these problems, a MFASMC control method was introduced. It is combined by a model-free adaptive control (MFAC) method and a sliding mode control (SMC) method. The main advantage of the MFAC method is that it relies only on the real-time measurement data of an ARV instead of any mathematical modeling information, and the SMC method guarantees the MFAC method’s fast convergence and low overshooting. The proposed MFASMC control method can maneuver Haidou-1 ARV cruising at the desired forward speed, heading, and depth, even when the dynamic parameters of the ARV vary widely and external disturbances exist. It also addresses the problem of under-actuated motion control for the Haidou-1 ARV. Finally, the simulation results, including comparisons with a PID method and the MFAC method, demonstrate the effectiveness of our proposed method.
OD-YOLO: Robust Small Object Detection Model in Remote Sensing Image with a Novel Multi-Scale Feature Fusion
Authors: Bu Yangcheng , Ye Hairong , Tie Zhixin , Chen Yanbing , Zhang Dingming
Published: June 2024

As remote sensing technology has advanced, the use of satellites and similar technologies has become increasingly prevalent in daily life. Now, it plays a crucial role in hydrology, agriculture, and geography. Nevertheless, because of the distinct qualities of remote sensing, including expansive scenes and small, densely packed targets, there are many challenges in detecting remote sensing objects. Those challenges lead to insufficient accuracy in remote sensing object detection. Consequently, developing a new model is essential to enhance the identification capabilities for objects in remote sensing imagery. To solve these constraints, we have designed the OD-YOLO approach that uses multi-scale feature fusion to improve the performance of the YOLOv8n model in small target detection. Firstly, traditional convolutions have poor recognition capabilities for certain geometric shapes. Therefore, in this paper, we introduce the Detection Refinement Module (DRmodule) into the backbone architecture. This module utilizes Deformable Convolutional Networks and the Hybrid Attention Transformer to strengthen the model’s capability for feature extraction from geometric shapes and blurred objects effectively. Meanwhile, based on the Feature Pyramid Network of YOLO, at the head of the model framework, this paper enhances the detection capability by introducing a Dynamic Head to strengthen the fusion of different scales features in the feature pyramid. Additionally, to address the issue of detecting small objects in remote sensing images, this paper specifically designs the OIoU loss function to finely describe the difference between the detection box and the true box, further enhancing model performance. Experiments on the VisDrone dataset show that OD-YOLO surpasses the compared models by at least 5.2% in mAP50 and 4.4% in mAP75, and experiments on the Foggy Cityscapes dataset demonstrated that OD-YOLO improved mAP by 6.5%, demonstrating outstanding results in tasks related to remote sensing images and adverse weather object detection. This work not only advances the research in remote sensing image analysis, but also provides effective technical support for the practical deployment of future remote sensing applications.
SiNx/SiO2-Based Fabry–Perot Interferometer on Sapphire for Near-UV Optical Gas Sensing of Formaldehyde in Air
Authors: Wolffenbuttel Reinoud , Winship Declan , Bilby David , Visser Jaco , Qin Yutao , Gianchandani Yogesh
Published: June 2024

Fabry–Perot interferometers (FPIs), comprising foundry-compatible dielectric thin films on sapphire wafer substrates, were investigated for possible use in chemical sensing. Specifically, structures comprising two vertically stacked distributed Bragg reflectors (DBRs), with the lower DBR between a sapphire substrate and a silicon-oxide (SiO2) resonator layer and the other DBR on top of this resonator layer, were investigated for operation in the near-ultraviolet (near-UV) range. The DBRs are composed of a stack of nitride-rich silicon-nitride (SiNx) layers for the higher index and SiO2 layers for the lower index. An exemplary application would be formaldehyde detection at sub-ppm concentrations in air, using UV absorption spectroscopy in the 300–360 nm band, while providing spectral selectivity against the main interfering gases, notably NO2 and O3. Although SiNx thin films are conventionally used only for visible and near-infrared optical wavelengths (above 450 nm) because of high absorbance at lower wavelengths, this work shows that nitride-rich SiNx is suitable for near-UV wavelengths. The interplay between spectral absorbance, transmittance and reflectance in a FPI is presented in a comparative study between one FPI design using stoichiometric material (Si3N4) and two designs based on N-rich compositions, SiN1.39 and SiN1.49. Spectral measurements confirm that if the design accounts for phase penetration depth, sufficient performance can be achieved with the SiN1.49-based FPI design for gas absorption spectroscopy in near-UV, with peak transmission at 330 nm of 64%, a free spectral range (FSR) of 20 nm and a full-width half-magnitude spectral resolution (FWHM) of 2 nm.
Semi-Supervised Autoencoder for Chemical Gas Classification with FTIR Spectrum
Authors: Jang Hee-Deok , Kwon Seokjoon , Nam Hyunwoo , Chang Dong Eui
Published: June 2024

Chemical warfare agents pose a serious threat due to their extreme toxicity, necessitating swift the identification of chemical gases and individual responses to the identified threats. Fourier transform infrared (FTIR) spectroscopy offers a method for remote material analysis, particularly in detecting colorless and odorless chemical agents. In this paper, we propose a deep neural network utilizing a semi-supervised autoencoder (SSAE) for the classification of chemical gases based on FTIR spectra. In contrast to traditional methods, the SSAE concurrently trains an autoencoder and a classifier attached to a latent vector of the autoencoder, enhancing feature extraction for classification. The SSAE was evaluated on laboratory-collected FTIR spectra, demonstrating a superior classification performance compared to existing methods. The efficacy of the SSAE lies in its ability to generate denser cluster distributions in latent vectors, thereby enhancing gas classification. This study established a consistent experimental environment for hyperparameter optimization, offering valuable insights into the influence of latent vectors on classification performance.
Robust Output Feedback Stabilization and Tracking for an Uncertain Nonholonomic Systems with Application to a Mobile Robot
Authors: Rabbani Muhammad Junaid , Memon Attaullah Y. , Farhan Muhammad , Larik Raja Masood , Ashraf Shahzad , Burhan Khan Muhammad , Arfeen Zeeshan Ahmad
Published: June 2024

This paper presents a novel robust output feedback control that simultaneously performs both stabilization and trajectory tracking for a class of underactuated nonholonomic systems despite model uncertainties, external disturbance, and the absence of velocity measurement. To solve this challenging problem, a generalized normal form has been successfully created by employing an input–output feedback linearization approach and a change in coordinates (diffeomorphism). This research mainly focuses on the stabilization problem of nonholonomic systems that can be transformed to a normal form and pose several challenges, including (i) a nontriangular normal form, (ii) the internal dynamics of the system are non-affine in control, and (iii) the zero dynamics of the system are not in minimum phase. The proposed scheme utilizes combined backstepping and sliding mode control (SMC) techniques. Furthermore, the full-order high gain observer (HGO) has been developed to estimate the derivative of output functions and internal dynamics. Then, full-order HGO and the backstepping SMC have been integrated to synthesize a robust output feedback controller. A differential-drive type (2,0) the wheeled mobile robot has been considered as an example to support the theoretical results. The simulation results demonstrate that the backstepping SMC exhibits robustness against bounded uncertainties.
A Molecular Dynamics Perspective on the Impacts of Random Rough Surface, Film Thickness, and Substrate Temperature on the Adsorbed Film’s Liquid–Vapor Phase Transition Regime
Authors: Fallahzadeh Rasoul , Bozzoli Fabio , Cattani Luca , Pagliarini Luca , Naeimabadi Niloofar , Azam Muhammad Waheed
Published: June 2024

While recent studies have proven an unexpected liquid–vapor phase transition of adsorbed liquid films, a comprehensive description of the mechanisms of different types of phase change regimes over realistic representations of random rough surfaces is absent in the literature. The current comprehensive study investigates the effects of a gold random rough surface, liquid film thickness, and substrate temperature on the liquid–vapor phase change regime of an adsorbed sodium liquid film, considering the evaporator section of a wicked heat pipe (WHP) using a molecular dynamics (MD) simulation. At first, to generate a realistic random rough surface, a new and promising method is proposed that is entirely based on MD simulations. Then, to simulate the evaporator section of a WHP, a unique configuration for eliminating the vapor domain is developed. The simulation results reveal that three distinct regimes, namely, normal evaporation, cluster boiling, and film boiling, could be identified, which are presented on two-dimensional diagrams with the substrate temperature and liquid film thickness as coordinates for the ideally smooth and random rough surfaces. The results also manifest that even though using the random rough surface could lead to different phase transition regimes, the type of regime depends mainly on the substrate temperature and liquid film thickness. Furthermore, this study displays two different modes for normal evaporation. Also, it is shown that the impacts of the liquid film thickness and substrate temperature on the mode of normal evaporation are much more significant than the surface roughness.
Genetic Relationships of Cultivated Flax and Its Wild Progenitor as Revealed by 454 Pyrosequencing, Sanger Resequencing and Microsatellite Data
Authors: Fu Yong-Bi
Published: June 2024

Flax (Linum usitatissimum L.), as the earliest oil and fiber crop, is a model plant for genetic inferences of plant domestication processes involving multiple domestication events. However, a puzzle has emerged from several genetic studies, as dehiscent cultivated flax is genetically more related to its progenitor pale flax (L. bienne Mill.), and winter cultivated flax is well mixed with oil or fiber cultivated flax, while capsular dehiscence and winter hardiness are the major characteristics of pale flax. For this, a comparative analysis was conducted with 16 Linum samples representing pale flax and four domestication groups of cultivated flax (oil, fiber, winter, and dehiscent) using 454 pyrosequencing, Sanger resequencing and microsatellite data. It was found that the genomic sampling of genetic variants from the three applied methods yielded similar genetic information on pale flax and four groups of cultivated flax. The revealed genetic relationships did not show significant departures from the previous findings, but instead supported an early, independent domestication of a primitive flax lineage for oil use, followed by a subsequent flax domestication process with multiple domestication events for capsular dehiscence, oil, fiber and winter hardiness. Domestication on capsular dehiscence occurred earlier than domestication on winter hardiness. Domestication on winter hardiness was more complicated than domestication on capsular dehiscence.
Prediction Models of Collaborative Behaviors in Dyadic Interactions: An Application for Inclusive Teamwork Training in Virtual Environments
Authors: Amat Ashwaq Zaini , Plunk Abigale , Adiani Deeksha , Wilkes D. Mitchell , Sarkar Nilanjan
Published: June 2024

Collaborative virtual environment (CVE)-based teamwork training offers a promising avenue for inclusive teamwork training. The incorporation of a feedback mechanism within virtual training environments can enhance the training experience by scaffolding learning and promoting active collaboration. However, an effective feedback mechanism requires a robust prediction model of collaborative behaviors. This paper presents a novel approach using hidden Markov models (HMMs) to predict human behavior in collaborative interactions based on multimodal signals collected from a CVE-based teamwork training simulator. The HMM was trained using k-fold cross-validation, achieving an accuracy of 97.77%. The HMM was evaluated against expert-labeled data and compared against a rule-based prediction model, demonstrating the superior predictive capabilities of the HMM, with the HMM achieving 90.59% accuracy compared to 76.53% for the rule-based model. These results highlight the potential of HMMs to predict collaborative behaviors that could be used in a feedback mechanism to enhance teamwork training experiences despite the complexity of these behaviors. This research contributes to advancing inclusive and supportive virtual learning environments, bridging gaps in cross-neurotype collaborations.
Early Results after Thulium Laser Enucleation of the Prostate in Patients with Urodynamically Proven Detrusor Underactivity
Authors: Trotsenko Pawel , Wetterauer Christian , Haydter Martin , Lusuardi Lukas , Herrmann Thomas R. W.
Published: June 2024

Objectives: Benign prostatic hyperplasia is one of the most common urological diseases. Among these patients, the presence of detrusor underactivity or acontractility represents a challenging condition since no medical treatment is available. Our objective is to evaluate early term outcomes following transurethral anatomical enucleation of the prostate with Tm:YAG support. Methods: In a retrospective analysis of 115 patients who underwent this procedure between January 2019 and March 2022 due to lower urinary tract symptoms, 8 patients with urodynamic evidence of detrusor underactivity secondary to a non-neurogenic aetiology were identified. Detrusor underactivity was defined as a bladder contractility index of <100. Results: Median age, prostate volume and bladder contractility index were 73.2 years, 78.5 cm3 and 63.9, respectively. Median International Prostate Symptom Score/quality of life, Qmax and post-void residual volume were 15/3.5 points, 4.4 mL/s and 189 mL, respectively. Postoperatively, immediate catheter-removal success rate was 87.5% (7/8), at 2 months all patients were catheter-free and remained so at 1-year follow-up. Significant improvements for quality of life, Qmax and post-void residual volume were detected. Median postoperative International Prostate Symptom Score/Quality of life, Qmax and post-void residual volume were 7/2, 21.6 mL/s and 0 mL, respectively. Conclusions: This surgical approach offers high catheter-free rates, significantly improves functional voiding parameters and increases patient satisfaction in patients with benign prostatic hyperplasia and concomitant detrusor underactivity. Therefore, it can be regarded as an effective approach for such patients.
Did COVID-19 Put Language Certificate Acquisition on Hold? Uptake and Outcomes of Language Training amongst Refugees
Authors: Wood Jonas
Published: June 2024

Most highly developed countries invest considerably in language training programmes for refugees, which are assumed to facilitate economic, social, and cultural integration. Although recent research has turned to particular patterns of host country language acquisition amongst refugees, the impact of the COVID-19 pandemic has hitherto remained understudied. Consequently, this article assesses changes in refugees’ uptake and outcomes of language training over the onset of the pandemic using longitudinal population data for Belgium (Flanders). Findings confirm theoretical expectations, as refugee cohorts entering the country after the onset of the pandemic exhibit lower Dutch language credentials, mostly due to lower enrolment and lower proficiency at intake for language courses. Furthermore, this study indicates that such changes are considerably weaker for highly educated and female refugees. These findings are interpreted in terms of increased vulnerability resulting from the pandemic as well as within-group diversity in potential barriers to integration in the host country.
Transforming the Creative and Social Entrepreneurial Ecosystem: The Broker Roles of Rural Collaborative Workspaces
Authors: Gao Chen , Psenner Eleonora
Published: June 2024

Creative social enterprises are increasingly emerging in rural regions, motivated by a desire to take social responsibility through creative approaches. These enterprises integrate entrepreneurial activities with creative social attributes and are sometimes set in rural collaborative workspaces (CWSs) facilitating entrepreneurial activities. Under the frame of entrepreneurial ecosystems (EEs), we argue that CWSs can be seen as brokers, who (1) link resources as liaisons, (2) hold and pass resources as gatekeepers, (3) enhance resource flows as coordinators, and (4) reproduce experiences as representatives. Against this backdrop, this paper presents a case study of two creative social enterprises in a CWS with a cooperative structure in rural Upper Austria by analyzing entrepreneurial biographies about the demand and use of entrepreneurial resources. Through a comparison between before and after the emergence of the CWS, the findings suggest that the EE for creative and social entrepreneurship undergoes two different types of transformation, a radical and a gradual one. The brokerage process of the CWS enhances local resource networks’ transformation of EE and brings the transformation in terms of translocal resources and integral EE of enterprises in the CWS. Additionally, the CWS generates social impacts on the local community through social enterprises. This paper contributes to ecosystem literature by introducing an actor-centric perspective and giving new insights into social entrepreneurship and the transformative power of CWSs as brokers.
Preferences for Remote and Hybrid Work: Evidence from the COVID-19 Pandemic
Authors: Waldrep Carolyn E. , Fritz Marni , Glass Jennifer
Published: June 2024

The COVID-19 pandemic created an opportunity for many American workers to work from home. Did the rapid and widespread adoption of remote work arrangements influence workers’ preferences? This study analyzes the early pandemic work experiences of 52 participants (20 men and 32 women) in dual-earner households with children through in-depth interviews conducted in 2021 and 2022 via Zoom. The study explores respondents’ desire for remote and hybrid work, considering job satisfaction as well as job characteristics, family structure, and household organization. Unless their jobs were poorly suited to remote work, most workers with pandemic-era remote work opportunities—and even some who had not worked remotely—wished to keep remote access in their post-pandemic work arrangements. Respondents reported enhanced job satisfaction and productivity from remote work, as a result of greater schedule control and flexibility. We found that some workers were willing to change jobs to maintain their preferred work arrangement, while others acquiesced to employers’ return-to-work policies. The study highlights the need to understand workers’ preferences in supporting flexible work arrangements and contributes to the understanding of remote work on family dynamics during the pandemic and afterwards.
CORE-ReID: Comprehensive Optimization and Refinement through Ensemble Fusion in Domain Adaptation for Person Re-Identification
Authors: Nguyen Trinh Quoc , Prima Oky Dicky Ardiansyah , Hotta Katsuyoshi
Published: June 2024

This study introduces a novel framework, “Comprehensive Optimization and Refinement through Ensemble Fusion in Domain Adaptation for Person Re-identification (CORE-ReID)”, to address an Unsupervised Domain Adaptation (UDA) for Person Re-identification (ReID). The framework utilizes CycleGAN to generate diverse data that harmonize differences in image characteristics from different camera sources in the pre-training stage. In the fine-tuning stage, based on a pair of teacher–student networks, the framework integrates multi-view features for multi-level clustering to derive diverse pseudo-labels. A learnable Ensemble Fusion component that focuses on fine-grained local information within global features is introduced to enhance learning comprehensiveness and avoid ambiguity associated with multiple pseudo-labels. Experimental results on three common UDAs in Person ReID demonstrated significant performance gains over state-of-the-art approaches. Additional enhancements, such as Efficient Channel Attention Block and Bidirectional Mean Feature Normalization mitigate deviation effects and the adaptive fusion of global and local features using the ResNet-based model, further strengthening the framework. The proposed framework ensures clarity in fusion features, avoids ambiguity, and achieves high accuracy in terms of Mean Average Precision, Top-1, Top-5, and Top-10, positioning it as an advanced and effective solution for UDA in Person ReID.
Plasmon Excitation in the Interaction of Slow Singly Charged Argon Ions with Magnesium
Authors: Riccardi Pierfrancesco
Published: June 2024

We report angle-resolved energy spectra of electron emitted in the interaction of slow singly charged heavy ions with Mg surface. The work is focused mainly on the excitation of plasmons of Mg under Argon impact. Potential excitation of plasmons occurs when incoming ions are neutralized at the expense of the potential energy carried by incoming ions. The process competes with the known mechanisms of neutralization via Auger transitions. Differently from Al samples, our results show that the neutralization of Ar+ ions at Mg is dominated by the excitation of surface plasmons by the potential energy released in the electron capture process that neutralizes incoming ions. Bulk plasmon excitation is observed at higher impact energy and is ascribed to fast electrons excited by the transfer of the kinetic energy of incoming particles. The data show that bulk plasmon excitation occur inside the bulk, while the theoretically predicted excitation by potential energy transfer of incoming projectiles is not observed.
Investigation of the Mechanical Behaviors of Sustainable Green Reactive Powder Concrete Produced Using Ferrochrome Slag and Waste Fiber
Authors: Atlı Ibrahim , Ipek Metin
Published: June 2024

Reactive powder concrete (RPC) is a new generation concrete with high strength, used in special structures, and its use is increasing day by day. In this study, instead of using high-strength aggregates typically used in RPC, wastes released in ferrochrome production were used. In addition, the possibility of using fibers obtained from end-of-life automobile tires (ELT), instead of the micro steel fibers typically used in RPC, was investigated. Thus, sustainable green reactive powder concrete (GRPC), the material which is obtained from waste materials except the binder and chemical additive, has been developed. As ferrochrome wastes, olivine, serpentine, rum, slag, and pure waste were used as powder and aggregate in GRPC. Firstly, in GRPC without fiber, the physical and mechanical properties of ferrochrome wastes were examined by using different ratios. Then, the optimum mixture was selected, and different ratios of industrial steel and ELT fiber were added to this mixture. As a result, the compressive strength of GRPC using olivine and pure waste (ferrochrome slag) is close to the reference RPC. However, it is 28% more economical. The flexural strength of the samples with a 4% addition of industrial or ELT fiber increased by 182% and 213%, respectively, compared to the reference sample without fiber. With the use of 4% ELT fiber (by volume) in GRPC, the flexural strength increased by 11% compared to the use of industrial steel fiber. In terms of cost, with the use of ferrochrome waste and ELT fiber, GRPC was 48% more economical. When examined in terms of the flexural and compressive unit strength cost, GRPC was approximately 41% more economical. As a result of this study, high-performance concrete with high mechanical properties that is economical, sustainable, and environmentally friendly has been produced by evaluating the use of waste materials.
The Effect of Market-Based Environmental Regulations on Green Technology Innovation—The Regulatory Effect Based on Corporate Social Responsibility
Authors: Wei Tao , Zhu Qinlin , Liu Wenlan
Published: June 2024

This study explores the impact of market-based environmental regulations on green technological innovation and the differential regulatory effects of corporate social responsibility (CSR) on different levels of green technological innovation. By analyzing data from 746 Chinese A-share listed companies from the period of 2008–2021, this paper examines the effect of market-based environmental regulations on corporate green technology innovation. The research findings are as follows: (1) Market-based environmental regulations have a significant promoting effect on green technology innovation in enterprises. (2) CSR amplifies the positive influence of market-based environmental on green technological innovation, but it has a greater impact on strategic innovations, like utility model patents, rather than substantial ones, like invention patents. Corporate may use CSR to superficially meet regulatory pressures and stakeholder expectations, focusing more on short-term compliance than on long-term sustainable innovation. Companies might utilize CSR as a superficial means to appease regulatory demands, concentrating on immediate compliance rather than fostering enduring innovation. (3) Market-based environmental regulations facilitate green technological innovation by alleviating enterprise financing constraints and improving the efficiency of innovation resource allocation. (4) The promotion effect of market-based environmental regulations on green technological innovation is particularly evident in state-owned enterprises, heavily polluted industries, and regions with high regulatory levels. The research contribution is to provide valuable insights into the implementation of market-based environmental regulations and firms’ green technological innovation. Specifically, it elucidates the nuanced regulatory effects of corporate social responsibility, presenting a fresh lens through which to reconsider the intricate mechanism of CSR’s role as a conduit between environmental policy and innovative practices.
Impacts of Environmental Knowledge, Motives, and Behavior on Ecotourism
Authors: Jayasekara K. Deshika De S. , Rajapaksa Darshana , Gunawardena U. A. D. Prasanthi
Published: June 2024

Trip cost indirectly reflects the perceived value (PV) related to a tourist destination, which can be influenced by knowledge, motivation, and behavior. This research investigated the relationship between PV and pro-environmental behavior (PEB). Moreover, the influence of environmental knowledge and motives on PEB was ascertained. Hikkaduwa National Park, Sri Lanka, was considered as a case study, and 235 visitors were interviewed for data collection. Partial Least Squares Structural Equation Modeling (PLS-SEM) was developed based on the proposed hypotheses. The average individual cost of traveling of local tourists is USD 4.7, which reflects the PV. The results revealed that motivation directly and indirectly impacts PV, and PEB positively influences PV. Environmental knowledge does not positively influence either PEB or PV. Motivating individuals to participate in environment-related activities is important for encouraging PEB and positively impacting value perception. As PEB influences PV in ecotourism areas, eco-friendly individuals will visit these areas as they value them more. Anthropogenic impacts are minimized if the visitors are environmentally friendly. Accordingly, this study highlights the desirability of promoting ecotourism and PEB for the environmental sustainability of marine habitats. The management of ecotourism destinations can develop strategies to use PEB to ensure the long-term survival of these areas.
Environmental Drivers, Environmental Practices, and Business Performance: A Systematic Literature Review and Future Research Directions
Authors: Iliopoulou Efthymia , Vlachvei Aspasia , Koronaki Eirini
Published: June 2024

Internal and external pressures urge businesses to adopt sustainable practices and compel them to manage natural resources for enhanced performance. The objective of this literature review research was to investigate the stakeholders influencing companies to embrace environmental practices, document existing environmental practices, and investigate the effects of these practices on business performance. This study spans a 25-year period, from 1998 to 2023, utilizing articles sourced from the Scopus database. The novelty of this research is that (a) each dimension—drivers, environmental practices, and performances—is individually examined, as well as in combination; (b) environmental practices are categorized based on the value chain framework, across the different stages of business operations; and (c) it includes analysis of the effects of each of the environmental practices on all three types of performance—environmental, financial, and non-financial. This research is presented with its findings and highlights the gaps in the existing literature. This work discusses the implications of this research for academics and managers.
Efficiency of the Integrated Production Systems: Evidence from the Winegrowing Firms in Italy
Authors: Sardaro Ruggiero , Panio Daniela , Chmieliński Paweł , La Sala Piermichele
Published: June 2024

In Italy, the environmental sustainability of the agricultural sector is regulated by the National Integrated Production Quality System. It is the foundation of the regional Integrated Production Regulations (IPRs), which identify voluntary agronomic strategies on the use of pesticides, fertilisers, and irrigation water, as well as on soil and plant management. The aim is a reduction in the environmental impacts of the agricultural processes and an increase in the production quality. However, the direct relationship between environmental and economic sustainability of the regional IPRs is not obvious and its absence could weaken the economic efficiency of firms. The study, through the stochastic frontier (SF) method, investigates the possible inefficiencies of the regional winegrowing firms that voluntarily adhere to the Apulian IPRs. The results highlight that some measures in the IPRs aimed at preserving the local agroecosystems (soil management and use of resistant varieties) are efficient, therefore allowing for an increase in the production value and quality. On the contrary, crucial measures concerning the management of irrigation water and pesticides decrease efficiency. Thus, more thoughtful measures are requested by policy makers to improve the economic impacts of the regional IPRs on firms and to make possible a certain convergence between environmental and economic sustainability.
Short Cold Storage as a Sustainable Postharvest Handling Method for Natural Enrichment in Antioxidants of Fresh and Dried Walnut Kernels—Cultivar Effect
Authors: Christopoulos Miltiadis V. , Kafkaletou Mina , Velliou Anna , Tsantili Eleni
Published: June 2024

Fresh (raw, non-dried) walnuts (kernel moisture > 17%) have unique sensory and nutritional attributes but a narrow time availability due to their rapid deterioration during storage. In the present study, the storage (1 °C, 90% RH) potential of fresh walnuts for 20 and 40 days was assessed in relation to cultivar (Chandler, Hartley, Ioli) and the form of exposure to storage (shelled or in-shell). The effect of low-temperature exposure (at 1 °C for 0, 10 and 20 days) before nut drying was also examined. Fresh walnuts from different cultivars showed diverse quality (size, color) and physiological (respiration, weight loss) traits. Using a very low storage temperature (1 °C) was feasible to store fresh walnuts marginally up to 40 days without losing the ‘fresh’ character. The form of in-shell storage compared with shelled ones helped to determine the retention of kernel moisture and had a mild protective role in the prevention of kernel browning. The storage of fresh walnuts at 1 °C resulted in increased total phenolics (TP, by 26% in average) and antioxidant capacity (by 46%, in average) of the kernels, supporting the improvement of nutritional value due to low temperatures. The dried kernels after this short cold storage showed increased TP levels by 35–40% in comparison with conventional dried ones. Therefore, the 10 d cold exposure could be proposed as a sustainable step for incorporation in the regular postharvest handling chain for the natural enrichment of fresh and dried kernels in antioxidants.
Forecasting and Mapping the Environmental and Health Impacts of Sustainable Regional Transport Policies
Authors: Prior Filipe Rita , Heath Andrew , McCullen Nick , Smith Theresa
Published: June 2024

Research on evaluating sustainable transport policies is predominantly focused on their urban effects, often overlooking similar challenges in suburban and rural mobility. Therefore, the development of regionally integrated sustainable transport strategies becomes essential to comprehensively address these concerns. This study aims to bridge this gap by introducing a GIS-supported methodology that combines multiple linear regressions with hazard ratio models to quantify and map the impacts of environmentally driven regional transport policies on air pollution and human health. The main findings of an illustrative case study highlighted the importance of stronger efforts to promote the transition to shared and active transport and address the articulation between urban and rural mobility. This study offers a novel contribution to transport researchers and policymakers by proposing a methodology that (1) forecasts the impacts of regional transport policies using open data and software, ensuring its applicability for diverse regional settings, (2) provides the results in quantitative and visual formats, facilitating output analysis and visualisation and, consequently, decision-making and public consultation on proposed sustainable transport policies, and (3) sets the groundwork for including future transport-related dimensions.
Synergistic Evolution of PM2.5 and O3 Concentrations: Evidence from Environmental Kuznets Curve Tests in the Yellow River Basin
Authors: Qi Guangzhi , Miao Yi , Xie Fucong , Teng Chao , Wang Chengxin , Wang Zhibao
Published: June 2024

Air pollution, especially the synergistic pollution of PM2.5 and O3, poses a severe threat to human life and production. The synergistic formation mechanism of PM2.5 and O3 pollution is relatively confirmed, while research on their spatiotemporal synergy is urgent. Based on remotely sensed interpretation data from 90 cities in the Yellow River Basin, we analyzed the synergistic evolution of PM2.5 and O3 concentrations during 2013–2020. Combined with the environmental Kuznets curve, we performed factor analysis using a panel regression model. The synergistic evolution pattern shows a gradual decrease in PM2.5 concentration and a gradual increase in O3 concentration. There is a strong spatial auto-correlation in the two pollutants’ concentrations. The relationship between economy and PM2.5 concentration shows an “N-shaped” curve, while that between O3 concentration and economic development presents an inverse “N-shaped” curve. The environmental Kuznets curve shows that the deterioration of O3 pollution takes place later than the mitigation of PM2.5 pollution. Various factors have obvious heterogeneous effects on PM2.5 and O3 concentrations. Meanwhile, the sensitivity effect of per capita GDP on PM2.5 concentration in the midstream region is stronger than that in the upstream region, while the sensitivity effect of per capita GDP on O3 concentration is strongest in the midstream region than that in upstream and downstream region.
Tourist Values and Well-Being in Rural Tourism: Insights from Biodiversity Protection and Rational Automobile Use in Al-Ahsa Oasis, Saudi Arabia
Authors: AlAli Abdulrahman Mubarark , Hassan Thowayeb H. , Abdelmoaty Mostafa A.
Published: June 2024

In response to the escalating significance of sustainable tourism and the growing global concern for environmental conservation, the current study sought to investigate the intricate dynamics of two pro-environmental behaviors (biodiversity protection and rational car use), personal values (altruistic, biospheric, and egoistic), farm tourists’ well-being, and environmental and activity attachment among farm tourists in the Al-Ahsa region of Saudi Arabia. Employing an online survey, our methodology involved partial least structural equation modeling to unravel the complex relationships among these variables. Based on responses retrieved from 309 farm tourists, results revealed that biodiversity protection significantly influenced altruistic values and the well-being of farm tourists. Additionally, rational automobile use exerted positive impacts on both altruistic and biospheric values. These results underscore the intricate dynamics shaping tourists’ attitudes and experiences in the Al-Ahsa region. The study contributes to the broader understanding of sustainable tourism practices, emphasizing the need for tailored interventions. The positive associations identified highlight the potential for farm tourism experiences to enhance both pro-environmental values and the well-being of tourists, thus offering valuable insights for future research and sustainable tourism initiatives.
Conception of Improved Blackgram (Vigna mungo L.) Production Technology and its Propagation among Farmers for the Development of a Sustainable Seeds Production Strategy
Authors: Marimuthu S. , Vanitha C. , Surendran U. , El-Hendawy Salah , Mattar Mohamed A.
Published: June 2024

Having a strong seed system that could spur agricultural expansion would be the first and most important step toward achieving food security in the nation of India. The main objective of this study was to investigate the impact of Improved Production Technology (IPT) on the production of high-quality seeds of blackgram (Vigna mungo L.) cultivar VBN 6 in a farmer-participatory mode in Tamil Nadu, India’s Ponnanaiyar subbasin during kharif and rabi 2017–18. In total, 985 farmers from 235 places throughout chosen Pudukkottai and Tiruchirappalli districts received frontline IPT demonstrations and IPT was applied in their agronomic practices afterwards. Compared to traditional approaches, our study demonstrated that IPT not only facilitated the production of high-quality seeds, but also a 25.14% higher seed yield of blackgram. Furthermore, the average water productivity was improved from 0.116 kg ha−1 m−3 to 0.154 kg ha−1 m−3. This study indicated IPT was effective in guaranteeing a system of sustainable seed production and thus was of great value in raising the farmers’ net incomes, profitability, and cost-benefit ratios. There is little well-documented data on how the farmer-participatory approach improves seed production technology in a sustainable way in the case of pulses when adopting improved production technologies in arable crop farming. Our creative method of having farmers participate in the demonstrations allowed us to evaluate how these extension programs affected the technology utilized to produce high-quality seeds. This study indicated IPT was effective in guaranteeing a system of sustainable seed production and thus was of great value in raising the farmers’ net incomes, profitability, and cost–benefit ratios.
The Effects of Fossil Fuel Consumption-Related CO2 on Health Outcomes in South Africa
Authors: Gbenga Wilfred Akinola , Ohonba Abieyuwa
Published: June 2024

The consumption of fossil fuel significantly contributes to the growth of South Africa’s economy but produces carbon dioxide (CO2), which is detrimental to environmental sustainability with overall effects on health outcomes. This study sought to (i) examine the impacts of fossil energy consumption-related CO2 emissions on the under-five mortality and infant mortality rates in South Africa and (ii) analyse the causal relationship between fossil energy consumption, CO2 emissions, and mortality rates in South Africa. Linear and nonlinear ARDL bounds and the Toda–Yamamoto causality test were used to establish the equilibrium property in the long run and the causal effects of the models’ variables. Health outcome data include the under-five mortality rate (MTR1) and infant mortality rate (MTR2). Other explanatory variables include fossil energy consumption (FOC), inflation (Inf), carbon dioxide emissions (CO2), and government expenditure (GEH). It is evident from the results of linear ARDL that the first lag of the under-five mortality rate in the short run has a positive and significant impact on the under-five mortality rate in South Africa. Holding the other variables constant, the under-five mortality rate in South Africa would increase by 0.630% for every 1% increase in its lagged values. Fossil energy consumption has a positive and significant effect on the under-five mortality rate in South Africa. This significant relationship implies that a 1% increase in fossil energy consumption increases the under-five mortality rate per 1000 persons per year in South Africa by 0.418% in the short run, all things being equal. The results from the Toda–Yamamoto causality test revealed that there is no causality between the under-five mortality rate and both the consumption of fossil fuel and CO2 emissions in South Africa. The results from nonlinear ARDL presented four separate scenarios. In the short run, during increasing levels of CO2 in the initial period (lag of CO2), a 1% increase in CO2 would decrease the under-five mortality rate by 1.15%. During periods of decreasing levels of CO2 in the short run, a 1% increase in CO2 would increase the infant mortality rate by 0.66%. Again, during previous and current periods of decreasing levels of FEC, a 1% increase in FEC would increase the infant mortality rate by 0.45% and 0.32%, respectively. In the long run, during periods of increasing levels of CO2, a 1% increase in CO2 would decrease the infant mortality rate by 4.62% whereas during decreasing levels of CO2, a 1% increase in CO2 would increase the infant mortality rate by 2.3%. The risk posed by CO2 emissions and their effects on humans can then be minimised through a government expansionary policy within health programmes.
Performance Analysis and Optimization of Solar-Coupled Mine Water-Source Heat Pump Combined Heating and Cooling System
Authors: Zhao Chang , Zhao Jianhui , Wang Mei
Published: June 2024

To address the energy consumption issue in mining area buildings, this paper proposed a solar-coupled mine water-source heat pump combined heating and cooling (SMWHP-CHC) system, taking the employee dormitory building group of a coal mining enterprise in Tongchuan City, China, as a case study. The system utilizes renewable solar energy and waste heat recovered from mine water as composite heat sources, and utilizes the cold energy in mine water as a cooling source to meet the demands for space heating, space cooling, and annual domestic hot water of the building in a sustainable manner. The simulation model of the system was established by TRNSYS to analyze the system’s annual operational performance. The results indicated that the system exhibited a positive energy efficiency and environmental performance under different operating conditions. The heating coefficients of the performance of the system (COPsys) during the space heating season and transition season were 3.54 and 18.6, and the cooling energy efficiency ratio of the system (EERsys) was 3.79. In addition, aiming to minimize the annual cost of the system, multiple crucial device parameters were synchronously optimized employing the PSO-HJ hybrid optimization algorithm through the GenOpt 2 software. The annual cost of the optimized system was reduced by 8.82%, and the investment cost was significantly reduced, while the performance was also improved. This study can provide theoretical support for the sustainable engineering application of the SMWHP-CHC system in mining area buildings.