bluuebunny/crossref_metadata_2025 huggingface dataset:
Biomass Waste Utilization as Nanocomposite Anodes through Conductive Polymers Strengthened SiO2/C from Streblus asper Leaves for Sustainable Energy Storages
Authors: Autthawong Thanapat , Ratsameetammajak Natthakan , Khunpakdee Kittiched , Haruta Mitsutaka , Chairuangsri Torranin , Sarakonsri Thapanee
Published: May 2024

Sustainable anode materials, including natural silica and biomass-derived carbon materials, are gaining increasing attention in emerging energy storage applications. In this research, we highlighted a silica/carbon (SiO2/C) derived from Streblus asper leaf wastes using a simple method. Dried Streblus asper leaves, which have plenty of biomass in Thailand, have a unique leaf texture due to their high SiO2 content. We can convert these worthless leaves into SiO2/C nanocomposites in one step, producing eco-materials with distinctive microstructures that influence electrochemical energy storage performance. Through nanostructured design, SiO2/C is thoroughly covered by a well-connected framework of conductive hybrid polymers based on the sodium alginate–polypyrrole (SA-PPy) network, exhibiting impressive morphology and performance. In addition, an excellent electrically conductive SA-PPy network binds to the SiO2/C particle surface through crosslinker bonding, creating a flexible porous space that effectively facilitates the SiO2 large volume expansion. At a current density of 0.3 C, this synthesized SA-PPy@Nano-SiO2/C anode provides a high specific capacity of 756 mAh g−1 over 350 cycles, accounting for 99.7% of the theoretical specific capacity. At the high current of 1 C (758 mA g−1), a superior sustained cycle life of over 500 cycles was evidenced, with over 93% capacity retention. The research also highlighted the potential for this approach to be scaled up for commercial production, which could have a significant impact on the sustainability of the lithium-ion battery industry. Overall, the development of green nanocomposites along with polymers having a distinctive structure is an exciting area of research that has the potential to address some of the key challenges associated with lithium-ion batteries, such as capacity degradation and safety concerns, while also promoting sustainability and reducing environmental impact.
Use of Non-Chlorine Sanitizers in Improving Quality and Safety of Marketed Fresh Salad Vegetables
Authors: Zaman Sharmin , Aziz Ashfaq , Siddique Md. Abubakkar , Khaleque Md. Abdul , Bari Md. Latiful
Published: May 2024

The safety of vegetable food is compromised by various factors, including the inefficient or excessive use of sanitizers. Instances of individuals falling ill after consuming raw vegetables have been reported, with outbreaks of diseases caused by pathogens on fresh vegetables becoming increasingly prevalent globally, attracting significant media coverage and impacting the economic viability of vegetable cultivation. Measures to enhance food safety in postharvest horticultural produce involve controlling microbial proliferation and minimizing cross-contamination. Sanitizers were utilized in the food safety arsenal for a variety of purposes, including pathogen elimination and microbe reduction, hand, tool, and vegetable contact surface cleaning, and produce shelf-life extension. Choosing an appropriate sanitizer for all vegetables is difficult due to a lack of knowledge on which sanitizers are ideal for the many types of vegetables grown on farms under different environmental circumstances. Although chlorine-based sanitizers, such as sodium or calcium hypochlorite, have been widely used for the past 50 years, recent research has revealed that chlorine reacts with an organic compound in fresh vegetables to produce trihalomethane, a carcinogen precursor, and as a result, many countries have prohibited the use of chlorine in all foods. As a result, horticulture research groups worldwide are exploring non-chlorine, ecologically friendly sanitizers for the vegetable industry. They also want to understand more about the present procedures in the vegetable business for employing alternative sanitizers, as well as the efficacy and potential dangers to the food safety of fresh salad vegetables. This review paper presents detailed information on non-chlorine sanitizers, such as their efficacy, benefits, drawbacks, regulatory requirements, and the need for additional research to lower the risk of marketed salad vegetable food safety.
Performance Improvement of an Electric Vehicle Charging Station Using Brain Emotional Learning-Based Intelligent Control
Authors: Zaid Sherif A. , Albalawi Hani , Alatwi Aadel M. , Elemary Atef
Published: May 2024

Electric vehicle (EV) charging facilities are essential to their development and deployment. These days, autonomous microgrids that use renewable energy resources to energize charging stations for electric vehicles alleviate pressure on the public electricity grid. Nevertheless, controlling and managing such charging stations’ energy is difficult due to the nonlinearity and irregular character of renewable energy sources. The current research recommends using a Brain Emotional Learning Intelligent Control (BELBIC) controller to enhance an autonomous EV charging station’s performance and power management. The charging station uses a battery to store energy and is primarily powered by photovoltaic (PV) solar energy. The principles of BELBIC are dependent on emotional cues and sensory inputs, and they are based on an emotion processing system in the brain. Noise and parameter variations do not affect this kind of controller. In this study, the performance of a conventional proportional–integral (PI) controller and the suggested BELBIC controller is evaluated for variations in solar insolation. The various parts of an EV charging station are simulated and modelled by the MATLAB/Simulink framework. The findings show that, in comparison to the conventional PI controller, the suggested BELBIC controller greatly enhances the transient responsiveness of the EV charging station’s performance. The EV keeps charging while the storage battery perfectly saves and keeps steady variations in PV power, even in the face of any PV insolation disturbances. The suggested system’s simulation results are provided and scrutinized to confirm the concept’s suitability. The findings validate the robustness of the suggested BELBIC control versus parameter variations.
Thermal Stress Mechanism of Thermochemical Reactor of 5 kW Solar Simulator with Temperature Distribution as the Load Condition
Authors: Huang Xing , Lin Yan , Yao Xin , Liu Yang , Gao Fanglin , Zhang Hao
Published: May 2024

In this paper, a solar thermochemical reactor is designed based on a 5 kW non-coaxial concentrating solar simulator, and a mathematical model is established for thermal calculations. The calculated temperature distribution is used as a load condition for thermal stress analyses. The model is used to study the influence of the solar simulator power, solar reactor inner wall material’s emissivity, working pressure, gas inlet velocity, and thermocouple opening diameter on the thermal stress of the solar reactor. The results show that thermal stress increases with the increase in solar simulator power and the emissivity of the inner wall material in the solar reactor. The inlet velocity and working pressure have little effect on the thermal stress of the reactor and cannot prevent damage to the reactor. In the case of maintaining the diameter of the thermocouple at the front end of the reactor, increasing the diameter of the thermocouple inside the reactor leads to an increase in thermal stress around the reactor. Meanwhile, using a finer thermocouple can reduce the thermal stress inside the reactor and extend its service life, which will provide a foundation for designing practical industrial applications in the future.
The African Pastor as a Public Figure in Response to Gender-Based Violence in South Africa: A Public Pastoral Intervention
Authors: Nanthambwe Patrick , Magezi Vhumani
Published: May 2024

The burgeoning field of public theology has garnered significant scholarly attention. Amidst its multifaceted discussions, a recurring theme asserts that theology plays a vital and irreplaceable role in public discourse. This perspective contends that engaging with matters of public concern from a theological standpoint not only contributes meaningfully to public discourse but also shapes our understanding of the world, human existence, and the divine. Within the African context, particularly in South Africa, gender-based violence (GBV) remains a pressing societal issue despite government and organizational efforts. This article delves into the potential role of pastors as public figures in addressing the persistent challenge of GBV. It explores the implications of pastors assuming public roles within an African context and how this engagement can be instrumental in combating GBV. By drawing on literature related to public practical theology, pastoral care, and GBV in South Africa, the article advocates for proactive public interventions by pastoral ministries. Through synthesizing insights from existing scholarship, it contributes to ongoing discussions at the intersection of theology, pastoral practice, and societal issues, with a specific focus on addressing GBV in the unique South African context.
“I Thought It Was Beautiful; I Just Wish I Could Understand It”: The Awkward Dance of Multilingual Worship
Authors: Silva Steuernagel Marcell
Published: May 2024

This article explores strategies for planning and leading multilingual worship. It offers an overview of translation and multilingualism for readers unfamiliar with the growing body of scholarship in these fields and connects them to the role of translation and multilingualism in Christian worship, leveraging decolonial perspectives to critique its history. This article draws from a data set of approximately 40 liturgies designed for the Course of Study School of the United Methodist Church at Perkins School of Theology, Southern Methodist University. It uses selections from these liturgies to demonstrate how issues of translation and multilingualism might be dealt with in worship planning and leadership. Finally, the article points to possibilities for further exploration at the intersection between Christian worship and multilingualism.
Coastal Sediment Grain Size Estimates on Gravel Beaches Using Satellite Synthetic Aperture Radar (SAR)
Authors: Mann Sophie , Novellino Alessandro , Hussain Ekbal , Grebby Stephen , Bateson Luke , Capsey Austin , Marsh Stuart
Published: May 2024

Coastal sediment grain size is an important factor in determining coastal morphodynamics. In this study, we explore a novel approach for retrieving the median sediment grain size (D50) of gravel-dominated beaches using Synthetic Aperture Radar (SAR) spaceborne imagery. We assessed this by using thirty-six Sentinel-1 (C-band SAR) satellite images acquired in May and June 2022 and 2023, and three NovaSAR (S-band SAR) satellite images acquired in May and June 2022, for three different training sites and one test site across England (the UK). The results from the Sentinel-1 C-band data show strong positive correlations (R2≥0.75) between the D50 and the backscatter coefficients for 15/18 of the resultant models. The models were subsequently used to derive predictions of D50 for the test site, with the models which exhibited the strongest correlations resulting in Mean Absolute Errors (MAEs) in the range 2.26–5.47 mm. No correlation (R2 = 0.04) was found between the backscatter coefficients from the S-band NovaSAR data and D50. These results highlight the potential to derive near-real time estimates of coastal sediment grain size for gravel beaches to better inform coastal erosion and monitoring programs.
A New Large-Scale Monitoring Index of Desertification Based on Kernel Normalized Difference Vegetation Index and Feature Space Model
Authors: Guo Bing , Zhang Rui , Lu Miao , Xu Mei , Liu Panpan , Wang Longhao
Published: May 2024

As a new vegetation monitoring index, the KNDVI has certain advantages in characterizing the evolutionary process of regional desertification. However, there are few reports on desertification monitoring based on KNDVI and feature space models. In this study, seven feature parameters, including the kernel normalized difference vegetation index (KNDVI) and Albedo, were introduced to construct different models for desertification remote-sensing monitoring. The optimal desertification remote-sensing monitoring index model was determined with the measured data; then, the spatiotemporal evolution pattern of desertification in Gulang County from 2013 to 2023 was analyzed and revealed. The main conclusions were as follows: (1) Compared with the NDVI and MSAVI, the KNDVI showed more advantages in the characterization of the desertification evolution process. (2) The point–line pattern KNDVI-Albedo remote-sensing index model had the highest monitoring accuracy, reaching 94.93%, while the point–line pattern NDVI-TGSI remote-sensing monitoring index had the lowest accuracy of 54.38%. (3) From 2013 to 2023, the overall desertification situation in Gulang County showed a trend of improvement with a pattern of “firstly aggravation and then alleviation.” Additionally, the gravity center of desertification in Gulang County first shifted to the southeast and then to the northeast, indicating that the northeast’s aggravating rate of desertification was higher than in the southwest during the period. (4) From 2013 to 2023, the area of stable desertification in Gulang County was the largest, followed by the slightly weakened zone, and the most significant transition area was that of extreme desertification to severe desertification. The research results provide important decision support for the precise monitoring and governance of regional desertification.
Sparse Reconstruction-Based Joint Signal Processing for MIMO-OFDM-IM Integrated Radar and Communication Systems
Authors: Wang Yang , Cao Yunhe , Yeo Tat-Soon , Cheng Yuanhao , Zhang Yulin
Published: May 2024

Multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) technology is widely used in integrated radar and communication systems (IRCSs). Moreover, index modulation (IM) is a reliable OFDM transmission scheme in the field of communication, which transmits information by arranging several distinguishable constellations. In this paper, we propose a sparse reconstruction-based joint signal processing scheme for integrated MIMO-OFDM-IM systems. Combining the advantages of MIMO and OFDM-IM technologies, the integrated MIMO-OFDM-IM signal design is realized through the reasonable allocation of bits and subcarriers, resulting in better intercarrier interference (ICI) resistance and a higher transmission efficiency. Taking advantage of the sparseness of OFDM-IM, an improved target parameter estimation method based on sparse signal reconstruction is explored to eliminate the influence of empty subcarriers on the matched filtering at the receiver side. In addition, an improved sequential Monte Carlo signal detection method is introduced to realize the efficient detection of communication signals. The simulation results show that the proposed integrated system is 5 dB lower in the peak sidelobe ratio (PSLR) and 1.5 ×105 lower in the number of complex multiplications than the latest MIMO-OFDM system and can achieve almost the same parameter estimation performance. With the same spectral efficiency, it has a lower bit error rate (BER) than existing methods.
Human-Unrecognizable Differential Private Noised Image Generation Method
Authors: Kim Hyeong-Geon , Shin Jinmyeong , Choi Yoon-Ho
Published: May 2024

Differential privacy has emerged as a practical technique for privacy-preserving deep learning. However, recent studies on privacy attacks have demonstrated vulnerabilities in the existing differential privacy implementations for deep models. While encryption-based methods offer robust security, their computational overheads are often prohibitive. To address these challenges, we propose a novel differential privacy-based image generation method. Our approach employs two distinct noise types: one makes the image unrecognizable to humans, preserving privacy during transmission, while the other maintains features essential for machine learning analysis. This allows the deep learning service to provide accurate results, without compromising data privacy. We demonstrate the feasibility of our method on the CIFAR100 dataset, which offers a realistic complexity for evaluation.
Optimal Channel Selection of Multiclass Motor Imagery Classification Based on Fusion Convolutional Neural Network with Attention Blocks
Authors: Khabti Joharah , AlAhmadi Saad , Soudani Adel
Published: May 2024

The widely adopted paradigm in brain–computer interfaces (BCIs) involves motor imagery (MI), enabling improved communication between humans and machines. EEG signals derived from MI present several challenges due to their inherent characteristics, which lead to a complex process of classifying and finding the potential tasks of a specific participant. Another issue is that BCI systems can result in noisy data and redundant channels, which in turn can lead to increased equipment and computational costs. To address these problems, the optimal channel selection of a multiclass MI classification based on a Fusion convolutional neural network with Attention blocks (FCNNA) is proposed. In this study, we developed a CNN model consisting of layers of convolutional blocks with multiple spatial and temporal filters. These filters are designed specifically to capture the distribution and relationships of signal features across different electrode locations, as well as to analyze the evolution of these features over time. Following these layers, a Convolutional Block Attention Module (CBAM) is used to, further, enhance EEG signal feature extraction. In the process of channel selection, the genetic algorithm is used to select the optimal set of channels using a new technique to deliver fixed as well as variable channels for all participants. The proposed methodology is validated showing 6.41% improvement in multiclass classification compared to most baseline models. Notably, we achieved the highest results of 93.09% for binary classes involving left-hand and right-hand movements. In addition, the cross-subject strategy for multiclass classification yielded an impressive accuracy of 68.87%. Following channel selection, multiclass classification accuracy was enhanced, reaching 84.53%. Overall, our experiments illustrated the efficiency of the proposed EEG MI model in both channel selection and classification, showing superior results with either a full channel set or a reduced number of channels.
Europeanisation in the Field of Housing: Its Areas of Influence, Different Approaches, Mechanisms, and Missing Links
Authors: Afonso Jorge , Conceição Paulo
Published: May 2024

Housing has been, and continues to be, a central concern of economic, geographical and political research, as well as of social debates. It is worth noting that the European Union (EU) does not possess exclusive or shared competence in the field of housing. Rather, its influence is the result of policies in other areas. Building on the call in the literature to examine both Europeanisation and housing studies, we present and discuss the areas of the EU’s influence—economic, environmental, legal, political, social, and urban. The literature shows that these influences have resulted from different shifts in the European agenda, with different approaches (top-down, bottom-up) and mechanisms (legislative, economic and fiscal, cognitive), creating conflicting housing narratives. In conclusion, future research should focus on understanding the influences of member states as well as the intersection between housing and other policy areas. Additionally, the distribution and transfer of power in decision-making within the EU should be examined, as well as the strategic interactions between (housing) political actors from different member states and EU institutions, and the consequences of such interactions.
The Science Behind Stress: From Theory to Clinic, Is Basal Septal Hypertrophy the Missing Link between Hypertension and Takotsubo Cardiomyopathy?
Authors: Çağatay Boran , Yalçin Fatih , Kıraç Adnan , Küçükler Nagehan , Abraham Maria Roselle
Published: May 2024

The modern theory of stress, initially proposed by Hans Selye in 1956, signifies an important development in our understanding of this phenomenon. Selye’s The Stress of Life serves as a foundational book for subsequent scientific questions. In this article, we focus on a comprehensive look at stress and use a literature review to explain its theoretical foundations as well as its clinical equivalent. Our research focuses on the complex mechanisms of stress, with a particular emphasis on the consequences of cardiac remodeling and adaptation processes. Myocardial remodeling might be seen as a response to increased stress in acute or chronic situations. Stressed heart morphology (SHM) is a very interesting description representing basal septal hypertrophy (BSH), which is detectable in both acute emotional stress and chronic stress due to increased afterload in hypertension. Acute stress cardiomyopathy (ASC) and hypertension in the same individuals could be clinically linked. Also, in this report, we mention the geometric and functional similarity of the left ventricle (LV) septal base in both acute and chronic clinical situations. Therefore, cardiac imaging methods are crucial to assessing LV segmental aspects in ASC patients. We propose a new paradigm that ASC may develop in hypertensive patients with SHM. We document the segmental progression of microscopic LV remodeling using a third-generation microscopic ultrasound and note that BSH takes a longer time to occur morphologically than an acutely developed syndrome. However, the majority of ASC events have a predominant base, and the absence of segmental remodeling details, including BSH and cardiac decompensation with apical ballooning, on echocardiographic reports may mask the possible underlying hypertensive disease. In fact, beyond ASC cases, previously undiagnosed hypertension is very common, even in developed countries, and is associated with masked target organ damage.
Integrating Climate Change Risks and Sustainability Goals into Saudi Arabia’s Financial Regulation: Pathways to Green Finance
Authors: Alhejaili Mohammad Omar
Published: May 2024

This study examines the integration of climate change risks and sustainability goals within Saudi Arabia’s financial regulatory framework to enhance green finance initiatives aligned with Vision 2030. A qualitative research design synthesises insights from a comprehensive literature review, semi-structured interviews with domain experts, and a detailed analysis of critical Saudi green finance frameworks and legislation. This research identifies mechanisms for embedding sustainability in the financial sector and addresses the challenges, opportunities, and strategic directions essential for Saudi Arabia within the global context of sustainable finance. The findings reveal a robust foundation laid by Vision 2030 initiatives yet underscore the need for enhanced regulatory frameworks, increased market readiness, and greater societal engagement. This study highlights a significant literature gap in understanding Saudi Arabia’s unique approach to green finance amid its economic diversification and sustainability goals. Contributing to original insights, this research underscores the critical role of Saudi Arabia in the global energy market and its substantial economic and environmental transformations. It offers detailed analyses and recommendations that enrich the discourse on sustainable finance, impacting policymakers, financial practitioners, and scholars.
Public Opinion and the Energy Transition in East Asia: The Case of Taiwan
Authors: Di Giusto Bruno , Lavallee Joseph , Žilák Igor , Di Giusto Yvonne Hu
Published: May 2024

Previous research in Western nations has established a clear connection between pro-environmental public opinion and clean energy transition policies aligned with Sustainable Development Goals 7 and 13. However, little is known about this relationship in East Asia, the most important region of the world in terms of carbon emissions. Using the International Social Survey Program and Taiwan Social Change Survey results from 2010 and 2020, this study examines public opinion in Taiwan on environmental issues, comparing it with opinion in a group of 18 OECD countries. Results show high but stable support for the environment and the energy transition in Taiwan over this period, with no indications of climate denial. However, willingness to make sacrifices for the environment is sharply lower among the lower half of the income distribution, highlighting existing socioeconomic disparities and inequality. Further, political engagement around environmental issues remains relatively low in Taiwan compared to engagement in the OECD comparison group. This disjunction suggests a unique model of public opinion and policy outcomes in Taiwan, which is clearly distinct from patterns in the West. Comprehending this model is vital, considering East Asia’s necessary role in a global clean energy transition.
Patterns in Clinical Leadership Learning: Understanding the Quality of Learning about Leadership to Support Sustainable Transformation in Healthcare Education
Authors: Hofmann Riikka , Chu Claudia , Twiner Alison , Vermunt Jan
Published: May 2024

Frontline doctors’ clinical leadership (CL) is key to addressing healthcare sustainability challenges. Research shows CL requires professional learning. Significant investments into CL development notwithstanding, little evidence exists of how frontline clinicians learn leadership, highlighting an educational sustainability challenge. We propose a fundamental constitutive step towards understanding CL professional development (PD) through theorising and analysing CL-learning mechanisms and their association with clinicians’ leadership competences required for sustainable healthcare development. This mixed-methods study developed a concept of leadership learning patterns to assess doctors’ learning processes associated with sustained innovation. It analysed a post-course dataset of past participants of a CL-PD course (N = 150) and a pre-post dataset of an online CL-PD (N = 34). EFA demonstrated a reasonable factor model for the Leadership Learning Inventory, measuring two dimensions of doctors’ leadership learning patterns: Meaning-oriented and Problematic learning. Qualitative and quantitative analyses showed that Meaning-oriented learning increased significantly during CL-PD and is linked with sustainable leadership competences. This study suggests that the concept of leadership learning patterns is useful for evaluating the quality of clinical leadership learning processes during PD. It offers a conceptually and empirically sound way to assess clinical leadership learning involved in sustainable healthcare improvement, and the sustainability of educational interventions to support it.
Data-Driven Predictive Analysis and Sustainable Management of Concrete Waste in Pakistan
Authors: Chen Yuan , Asim Minhas
Published: May 2024

The construction sector of Pakistan is on a cross-growth trajectory, developing under the twin pressures of emerging infrastructure-based demands and sustainable practices that need to be inculcated urgently. This article focuses on the critical evaluation of sustainable waste management practices within the fast-developing construction industry of Pakistan, and clearly delineates a research gap in the current methodologies and use of data combined with the absence of a strategy for effective management of concrete waste. This research aims to utilize an algorithm based on machine learning that will provide accurate prediction in the generation of construction waste by harnessing the potential of real-time data for improved sustainability in the construction process. This research has identified fundamental factors leading systematically to the generation of concrete waste by creating an extensive dataset from construction firms all over Pakistan. This research study also identifies the potential concrete causes and proposed strategies towards the minimization of waste with a strong focus on the reuse and recycling of the same concrete material to enhance the adoption of sustainable practices. The prediction of the model indicates that the volumes of construction are to increase to 158 cubic meters by 2030 and 192 cubic meters by 2040. Further, it projects the increase in concrete construction waste volumes to 223 cubic meters by the year 2050 through historical wastage patterns.
Wild Food Foraging in Oklahoma: A Pathway to Creating Imagined Foodways and Foodscapes
Authors: Fleming Olivia M. , Mix Tamara L.
Published: May 2024

Foraging, the gathering of wild edibles for food and medicinal use, opens opportunities to connect with local environments and pursue sustainability and food sovereignty. We engage with insights from semi-structured qualitative interviews, participant observation, and site visits with individuals identifying as foragers and wildcrafters across Oklahoma to better understand foragers’ interactions with local wild food and foodscapes. We ask: Why do individuals in Oklahoma forage and/or wildcraft? How do foraging practices provide a pathway to support the creation of imagined foodways and foodscapes? We review the literature on foraging and foodways to situate foraging within alternative food systems and consider dimensions of sustainability and sovereignty within foodscapes. Foragers and wildcrafters reveal that their practices foster both tangible and non-tangible benefits, including deep connections with place and nature in the process of procuring wild edibles. While participants come to foraging in various ways, their strategies include engagement with sustainable practices and greater control and agency in food access. Building on the concept of ‘imagined foodways,’ we introduce ‘imagined foodscapes’ to illustrate foragers’ ability to create food practices and spaces based on their ideal methods of procuring and connecting with food.
Analysis of Environmental Impact and Mechanical Properties of Inconel 625 Produced Using Wire Arc Additive Manufacturing
Authors: Sword J. Iain , Galloway Alexander , Toumpis Athanasios
Published: May 2024

Inconel 625 is a nickel-based superalloy widely used in industries such as energy, space, and defence, due to its strength and corrosion resistance. It is traditionally time- and resource-intensive to machine, leading to increased environmental impact and material waste. Using additive manufacturing (AM) technology enables a reduction in resource consumption during the manufacture of high value components, as material is only deposited where it is required. This study compares the environmental impact of manufacturing an Inconel 625 impeller through machining and wire arc additive manufacturing (WAAM) by employing established life cycle assessment methods. WAAM shows significant advantages, cutting energy consumption threefold and reducing material waste from 85% to 35%. The current work also evaluates the mechanical properties of WAAM-produced components through tensile and axial fatigue testing, in addition to the use of optical and electron microscopy for metallurgical analysis and fractography. This demonstrates yield and ultimate tensile strengths exceeding industrial standards, with comparable or superior fatigue life to other AM methods. The improved fatigue performance extends the service life of components, bolstering sustainability by reducing the need for frequent replacements, thereby lessening associated environmental impacts. These findings underscore the promise of WAAM in enhancing both environmental sustainability and mechanical performance in manufacturing Inconel 625 components.
Green Core Competencies, Green Process Innovation, and Firm Performance: The Moderating Role of Sustainability Consciousness, a Mixed Method Study on Golf Hotels
Authors: Ozilhan Ozbey Derya , Coskun Degirmen Gul , Berk Osman Nurullah , Sardagi Emine , Celep Emel , Koc Durmus , Gozen Ebru
Published: May 2024

Sustainability of biological, social, and economic systems is crucial for protecting our common future and preserving the balance between nature and humans. Environmental concerns should be adopted by all units of society and sustainability awareness should be adapted to all processes through optimum technologies both in daily life and in business management. The basic objective of this article is to determine the effects of green core competencies, green process innovation, and firm performance variables on each other and to examine the moderating role of sustainability consciousness on these effects. A survey and semi-structured interview forms were preferred as data collection methods. In the analysis of the survey data, AMOS was adopted to test the hypothetical model and the Hayes Process macro was employed to determine the moderating effect. The data of interview forms were analyzed with the bag of words model. The research results show that green core competencies positively affect green process innovation and green process innovation positively affects firm performance. In addition, the moderating effect of the attitudinal and behavioral dimensions of sustainability awareness on the impact of green process innovation on firm performance is supported, while the moderating effect of the sustainability knowingness dimension is not supported.
A Qualitative Study on the Consumer Behaviour Related to Food Waste: Romanian Perspectives through Word Cloud and Sentiment Analysis
Authors: Moldovan Maria-Georgeta , Dabija Dan-Cristian , Stanca Liana , Pocol Cristina Bianca
Published: May 2024

In emerging countries like Romania, research on food loss and waste remains relatively scarce. This is mainly because the phenomenon, along with its repercussions and ramifications, is inadequately understood by all stakeholders within the agri-food chain. Consumer behaviour, with a specific focus on sustainability and waste reduction, has undergone a noticeable transformation on a global scale. Researchers have been emphasising the imperative for effective awareness and education strategies in this respect. Diverse studies contribute valuable insights into household food behaviour, identifying possible drivers and suggesting counteractive techniques. This study poses inquiries about consumer feelings regarding the food waste phenomenon and perceptions of the Romanian agri-food chain, as well as the influence of education on their awareness and adoption of sustainable eating habits. The paper delineates the semi-structured interview-based methodology, shows results through word-cloud and sentiment analysis, and engages in discussions on consumer behaviour through four distinct clusters, concluding with limitations, managerial implications and outlining future research directions. The findings underscore the relevance of emotions and sentiments in understanding consumer behaviour, shedding light on the nuanced factors influencing food waste. Notably, the accuracy of interpretation is higher when drawn from interviews rather than online comments or reviews made by unknown individuals. This distinction increases the credibility of the insights gained from the qualitative study. By analysing consumer sentiments, the study aids in implementing strategies to improve customer satisfaction and reduce food waste, fostering a more sustainable and consumer-centric approach in the agri-food sector worldwide.
The Impact of Access to Intermediate Inputs on Export Margins: Firm-Level Evidence from the Regression Decomposition Approach
Authors: Miah Mohammad Rayhan , Ichihashi Masaru
Published: May 2024

This paper analyzes how export margins responded to an intermediate input supply shock caused by the 2020 lockdown in China. We use regression decomposition with triple and quadruple difference-in-differences models to identify causal impacts and mitigate potential heterogeneity in transaction-level customs data from the Bangladesh apparel manufacturing industry. The triple difference estimate shows that the average export value per firm–product–destination combination declined by approximately 65%, leading to a decrease in overall exports of woven apparel from Bangladesh. The input supply shock also adversely affected the subgroups of firms across various firm-level characteristics along the intensive margin. Moreover, the export market share decomposition reveals that the shock significantly affected intensive margins by decreasing incumbents’ market allocation by 9%. An equivalent increase in extensive margins led to a readjustment in the market allocation, leading to fewer market leavers and slightly more new market entrants. Our results indicate that Bangladesh’s exports mostly decreased due to the smaller quantities of products exported rather than there being fewer firms, destinations, or products involved in export trade. There were significant market share reallocations that occurred after the Chinese input supply shock. An appropriate policy stance is required for sustainable export sector growth strategies, which will enhance the country’s defense against potential future shocks and foster the achievement of sustainable development goals (SDGs) in Bangladesh.
Effect of Salt Solution Tracer Dosage on the Transport and Mixing of Tracer in a Water Model of Asymmetrical Gas-Stirred Ladle with a Moderate Gas Flowrate
Authors: Li Linbo , Chen Chao , Tao Xin , Qi Hongyu , Liu Tao , Yan Qiji , Deng Feng , Allayev Arslan , Lin Wanming , Wang Jia
Published: May 2024

In previous research simulating steelmaking ladles using cold water models, the dosage/volume of the salt tracer solution is one of the factors that has been overlooked by researchers to a certain extent. Previous studies have demonstrated that salt tracers may influence the flow and measured mixing time of fluids in water models. Based on a water model scaled down from an industrial 130-ton ladle by a ratio of 1:3, this study investigates the impact of salt tracer dosage on the transport and mixing of tracers in the water model of gas-stirred ladle with a moderate gas flow rate. A preliminary uncertainty analysis of the experimental mixing time is performed, and the standard deviations were found to be less than 15%. It was observed in the experiments that the transport paths of tracers in the ladle can be classified into two trends. A common trend is that the injected salt solution tracer is asymmetrically transported towards the left sidewall of the ladle by the main circulation. In another trend, the injected salt solution tracer is transported both by the main circulation to the left side wall and by downward flow towards the gas column. The downward flow may be accelerated and become a major flow pattern when the tracer volume increases. For the dimensionless concentration curve, the sinusoidal type, which represents a rapid mixing, is observed at the top surface monitoring points, while the parabolic type is observed at the bottom monitoring points. An exception is the monitoring point at the right-side bottom (close to the asymmetric gas nozzle area), where both sinusoidal-type and parabolic-type curves are observed. Regarding the effect of tracer volume on the curve and mixing time, the curves at the top surface monitoring points are less influenced but curves at the bottom monitoring points are noticeably influenced by the tracer volume. A trend of decreasing and then increasing as the tracer volume increases was found at the top surface monitoring points, while the mixing times at the bottom monitoring points decrease with the increase in the tracer volume.
Untangling the Defiant Taxonomy of Physaloptera (Nematoda: Chromadorea: Spirurida: Physalopteridae) Parasites in Reptiles: An Integrative Approach on the Enigmatic P. retusa Suggests Cryptic Speciation
Authors: Ailán-Choke Lorena Gisela , Ferreira Vanda Lúcia , Paiva Fernando , Tavares Luiz Eduardo Roland , Paschoal Fabiano , Pereira Felipe Bisaggio
Published: May 2024

(1) Background: Although Physaloptera retusa is one of the most widespread species infecting reptiles in the Americas, numerous taxonomic problems and little genetic data are associated with it. To clarify the taxonomy of this species, we used an integrative approach. (2) Methods: Physaloptera retusa-infecting Erythrolamprus typhlus (snake) from the Pantanal wetlands, Brazil, was morphologically and genetically characterised (18S and 28S rDNA; COI mtDNA) and compared with conspecific sequences available in GenBank, from parasites of Tupinambis teguixin (lizard), using species delimitation methods. Type specimens of P. liophis were re-evaluated given its morphological similarities with P. retusa. (3) Results: The morphology of the present specimens was equal to that of P. retusa, in which the only difference from P. liophis was the relative position of the vulva. Species delimitation methods were more accurate for the COI dataset; all of them (except ABGD) indicated interspecificity among P. retusa sequences. However, a lack of morphological data or voucher material, associated with the deposited sequences, prevented more assertive conclusions. (4) Conclusions: The present results highlight the importance of a clear association between genetic data and morphology of the isolation source, or at least its adequate vouchering. Moreover, P. retusa may represent a species complex in cryptic speciation, since it is widespread and has low hosts specificity.
Titanium Dioxide Nanoparticles Induce Maternal Preeclampsia-like Syndrome and Adverse Birth Outcomes via Disrupting Placental Function in SD Rats
Authors: Li Haixin , Miao Dandan , Hu Haiting , Xue Pingping , Zhou Kun , Mao Zhilei
Published: May 2024

The escalating utilization of titanium dioxide nanoparticles (TiO2 NPs) in everyday products has sparked concerns regarding their potential hazards to pregnant females and their offspring. To address these concerns and shed light on their undetermined adverse effects and mechanisms, we established a pregnant rat model to investigate the impacts of TiO2 NPs on both maternal and offspring health and to explore the underlying mechanisms of those impacts. Pregnant rats were orally administered TiO2 NPs at a dose of 5 mg/kg body weight per day from GD5 to GD18 during pregnancy. Maternal body weight, organ weight, and birth outcomes were monitored and recorded. Maternal pathological changes were examined by HE staining and TEM observation. Maternal blood pressure was assessed using a non-invasive blood analyzer, and the urinary protein level was determined using spot urine samples. Our findings revealed that TiO2 NPs triggered various pathological alterations in maternal liver, kidney, and spleen, and induced maternal preeclampsia-like syndrome, as well as leading to growth restriction in the offspring. Further examination unveiled that TiO2 NPs hindered trophoblastic cell invasion into the endometrium via the promotion of autophagy. Consistent hypertension and proteinuria resulted from the destroyed the kidney GBM. In total, an exposure to TiO2 NPs during pregnancy might increase the risk of human preeclampsia through increased maternal arterial pressure and urinary albumin levels, as well as causing fetal growth restriction in the offspring.
Finding Priority Areas in the Evaluation of Strategies for the Prevention of Leishmaniasis in an Endemic Municipality of Brazil
Authors: Oliveira Talita Carolina Bragança de , Sevá Anaiá da Paixão , Neto João Alfredo Biagi Camargo , Lopes Uelio de Lima , Bresciani Katia Denise Saraiva
Published: May 2024

Visceral leishmaniasis is a zoonotic disease that affects humans and dogs. The infection is endemic in the municipality of Araçatuba, São Paulo, Brazil. Given the role of dogs in the epidemiology of leishmaniasis, strategies to enhance surveillance and reduce transmission are focused on dogs. In this study, we retrospectively analyzed records of canine visceral leishmaniasis from 2013 to 2022. According to this database, the prevalence of dogs testing positive for leishmaniasis fluctuated, with an average of 65.04% (6590/10,133). Cases were clustered in 10 statistically significant areas. Environmental analyses identified a significant geographical association between animals testing positive and higher vegetation density rates compared with animals testing negative. The period from sample collection to diagnosis and euthanasia, as recommended by the Brazilian Ministry, correlated with disease prevalence and decreased over time. These findings serve to implement different action plans against leishmaniasis for each geographic region and to understand the impact and efforts of strategies in an endemic area.
Square the Circle: Diversity of Viral Pathogens Causing Neuro-Infectious Diseases
Authors: Nurmukanova Varvara , Matsvay Alina , Gordukova Maria , Shipulin German
Published: May 2024

Neuroinfections rank among the top ten leading causes of child mortality globally, even in high-income countries. The crucial determinants for successful treatment lie in the timing and swiftness of diagnosis. Although viruses constitute the majority of infectious neuropathologies, diagnosing and treating viral neuroinfections remains challenging. Despite technological advancements, the etiology of the disease remains undetermined in over half of cases. The identification of the pathogen becomes more difficult when the infection is caused by atypical pathogens or multiple pathogens simultaneously. Furthermore, the modern surge in global passenger traffic has led to an increase in cases of infections caused by pathogens not endemic to local areas. This review aims to systematize and summarize information on neuroinvasive viral pathogens, encompassing their geographic distribution and transmission routes. Emphasis is placed on rare pathogens and cases involving atypical pathogens, aiming to offer a comprehensive and structured catalog of viral agents with neurovirulence potential.
Tenacity of Animal Disease Viruses on Wood Surfaces Relevant to Animal Husbandry
Authors: Oettler Martin J. , Conraths Franz J. , Roesler Uwe , Reiche Sven , Homeier-Bachmann Timo , Denzin Nicolai
Published: May 2024

The aim of this study was to analyse the hygienic suitability of wood often used in animal husbandry. To this end, the inactivation of viruses (Enterovirus E as a surrogate for non-enveloped viruses and Newcastle disease virus as a surrogate for enveloped viruses) on germ carriers consisting of various types of wood was studied over an extended period to assess the biosafety of wood as an agricultural building material. The study was designed to assess the intrinsic biocidal activity of the wood itself, without the use of a disinfectant. The laboratory tests were based on German test guidelines and current European standards. Five different types of wood germ carriers, i.e., spruce (Picea abies), pine (Pinus sylvestris), poplar (Populus sp.), beech (Fagus sylvatica) and Douglas fir (Pseudotsuga menziesii), as well as stainless-steel carriers, were inoculated with enveloped and non-enveloped viruses and stored for up to four months, and the remaining infectivity of the viruses was continuously assessed. The results showed that intact, finely sawn timber with a low depth of roughness had an inactivating effect on the viruses up to 7.5 decadal logarithmic levels. For the non-enveloped virus, inactivation was fastest on Douglas fir wood, with the target reduction for effective inactivation (reduction by factor 4.0 log10) being achieved after two weeks, and for the enveloped virus on pine wood, it was already achieved from the day of drying. The hygienic effects of the wood carriers may be due to their hygroscopic properties and wood constituents. These effects offer potential for further investigation, including tests with other wood species rich in extractives.