bluuebunny/crossref_metadata_2025 huggingface dataset:
Robust Localization of Industrial Park UGV and Prior Map Maintenance
Authors: Luo Fanrui , Liu Zhenyu , Zou Fengshan , Liu Mingmin , Cheng Yang , Li Xiaoyu
Published: August 2023

The precise localization of unmanned ground vehicles (UGVs) in industrial parks without prior GPS measurements presents a significant challenge. Simultaneous localization and mapping (SLAM) techniques can address this challenge by capturing environmental features, using sensors for real-time UGV localization. In order to increase the real-time localization accuracy and efficiency of UGVs, and to improve the robustness of UGVs’ odometry within industrial parks—thereby addressing issues related to UGVs’ motion control discontinuity and odometry drift—this paper proposes a tightly coupled LiDAR-IMU odometry method based on FAST-LIO2, integrating ground constraints and a novel feature extraction method. Additionally, a novel maintenance method of prior maps is proposed. The front-end module acquires the prior pose of the UGV by combining the detection and correction of relocation with point cloud registration. Then, the proposed maintenance method of prior maps is used to hierarchically and partitionally segregate and perform the real-time maintenance of the prior maps. At the back-end, real-time localization is achieved by the proposed tightly coupled LiDAR-IMU odometry that incorporates ground constraints. Furthermore, a feature extraction method based on the bidirectional-projection plane slope difference filter is proposed, enabling efficient and accurate point cloud feature extraction for edge, planar and ground points. Finally, the proposed method is evaluated, using self-collected datasets from industrial parks and the KITTI dataset. Our experimental results demonstrate that, compared to FAST-LIO2 and FAST-LIO2 with the curvature feature extraction method, the proposed method improved the odometry accuracy by 30.19% and 48.24% on the KITTI dataset. The efficiency of odometry was improved by 56.72% and 40.06%. When leveraging prior maps, the UGV achieved centimeter-level localization accuracy. The localization accuracy of the proposed method was improved by 46.367% compared to FAST-LIO2 on self-collected datasets, and the located efficiency was improved by 32.33%. The z-axis-located accuracy of the proposed method reached millimeter-level accuracy. The proposed prior map maintenance method reduced RAM usage by 64% compared to traditional methods.
A Comparative Study of the Typing Performance of Two Mid-Air Text Input Methods in Virtual Environments
Authors: Wang Yueyang , Wang Yahui , Li Xiaoqiong , Zhao Chengyi , Ma Ning , Guo Zixuan
Published: August 2023

Inputting text is a prevalent requirement among various virtual reality (VR) applications, including VR-based remote collaboration. In order to eliminate the need for complex rules and handheld devices for typing within virtual environments, researchers have proposed two mid-air input methods—the trace and tap methods. However, the specific impact of these input methods on performance in VR remains unknown. In this study, typing tasks were used to compare the performance, subjective report, and cognitive load of two mid-air input methods in VR. While the trace input method was more efficient and novel, it also entailed greater frustration and cognitive workload. Fortunately, the levels of frustration and cognitive load associated with the trace input method could be reduced to the same level as those of the tap input method via familiarity with VR. These findings could aid the design of virtual input methods, particularly for VR applications with varying text input demands.
The Sustainability-Conscious Consumer: An Exploration of the Motivations, Values, Beliefs, and Norms Guiding Garment Life Extension Practices
Authors: Burton Michelle , Eike Rachel
Published: August 2023

Sustainability has increasingly become one of the single biggest issues requiring immediate global attention by both the retail industry and the consumer. As the end users of garments, consumers play a key role in reversing the current devastating environmental trends. For consumers to do this, there is a need to understand those motivating factors that would encourage them to increase their involvement in sustainability-related practices. This study, therefore, addresses the motivations, values, beliefs, and norms of the consumer’s sustainable consumption behavior (SCB). The value-belief-norm (VBN) theory was used as a framework to explain beliefs and behaviors which serve as predictors for attitudes and behavioral intentions. Data were collected through interviews with 14 female participants in six countries selected because of their environmentally-conscious behaviors. Findings indicate poor fit is a motivating factor to extend the life of clothing by providing participants with a sense of control and empowerment. Participants believed fashion was an unlimited reusable resource. Future research might explore connections among creativity, mental wellness, and empowerment. Both fashion industry and academic practitioners would benefit, as a need exists to update consumer behavior models, and increase understanding, based on the wants and needs of the sustainability-conscious consumer.
Irrigation Scheduling for Small-Scale Crops Based on Crop Water Content Patterns Derived from UAV Multispectral Imagery
Authors: Mndela Yonela , Ndou Naledzani , Nyamugama Adolph
Published: August 2023

A timely irrigation schedule for small-scale farms is imperative for ensuring optimum crop production in the wake of drought and climate change. Owing to the large number of irrigated small-scale farms that grow different crops across all seasons in the Mutale River catchment, this study sought to develop irrigation scheduling for these crops for sustainable water utilization without compromising crop yields. Unmanned aerial vehicle (UAV) images were utilized as the base from which crop water content patterns were derived. A total of four (4) spectral vegetation indices, viz, the Greenness Normalized Difference Vegetation Index (GNDVI), Normalized Difference Vegetation Index (NDVI), Normalized Difference Red-Edge Index (NDRE), and Optimized Soil-Adjusted Vegetation Index (OSAVI), were generated to characterize crop types and water content in this study. Crop water content data, in the form of the relative water content (RWC), were measured in the field for each type of crop. Crop water content was modelled based on the empirical relationships between spectral indices and field-measured RWC. The linear regression analysis revealed a significant association between the GNDVI and the water content of sweet potato, maize, sugar beans, and Florida broadleaf mustard, with r2 values of 0.948, 0.995, 0.978, and 0.953, respectively. The NDVI revealed a strong association with the water content of Solanum retroflexum, pepper, and cabbage, with r2 values of 0.949, 0.956, and 0.995, respectively. The NDRE, on the other hand, revealed a strong relationship with water content in peas and green beans, with r2 values of 0.961 and 0.974, respectively. The crop water content patterns simulation revealed that Solanum retroflexum, sweet potato, maize, sugar beans, and Florida broadleaf mustard reached their respective wilting points on day four after irrigation, implying that irrigation of these crops should be scheduled after every four (4) days. Peas, green beans, pepper, and cabbage reached their respective wilting points on day five after irrigation, implying that irrigation of these crops should be scheduled after every five days. The results of this study highlight the significance of considering crop water content derived from spectral bands of UAV imagery in scheduling irrigation for various types of crops. This study also emphasized the on-going significance of remote sensing technology in addressing agricultural issues that impede hunger alleviation and food security goals.
Use of Internet-of-Things for Sustainable Art Businesses: Action Research on Smart Omni-Channel Service
Authors: Park Arum
Published: August 2023

Performance and exhibition venues are well-suited for implementing business models that leverage Internet-of-Things (IoT) concepts to integrate both online and offline information. The use of IoT technologies has led to the emergence of omni-channel services, providing customers with information from both online and offline channels. However, there is a lack of field research on the practical implications of IoT concepts in art exhibitions. An action research methodology is required to address this gap, and one potential solution is to implement an IoT-based omni-channel service that integrates online and offline channels to enhance service quality and provide a seamless customer experience. Near Field Communication (NFC), iBeacon, and Internet buttons can be used in an art gallery to achieve these objectives. This study utilized action research methods to examine the impact of customers’ technology interactions in an art gallery setting. The findings indicate that the inclusion of a physical interactive element has a positive effect on IoT use.
Technological Innovations for Enhancing Disaster Resilience in Smart Cities: A Comprehensive Urban Scholar’s Analysis
Authors: Samarakkody Aravindi , Amaratunga Dilanthi , Haigh Richard
Published: August 2023

Despite advancements, Smart Cities encounter hazards. Smart Cities’ higher reliance on interconnected systems and networks makes them susceptible to risks beyond conventional ones, leading to cascading effects. Hence, the effective use of technological innovations is vital. This effective use involves understanding the existing use of technology innovations for resilience making in Smart Cities and the wise utilisation of them as suitable for different contexts. However, there is a research gap for a fundamental study that synthesises the emerging and disruptive technologies that are being used to improve the disaster resilience in Smart Cities and how they can be classified. Therefore, this research aimed to address that need, so that a Smart City evaluating the technologies/tools for disaster resilience could wisely utilise the available resources and prioritise the most suitable for their context-specific needs. Following a comprehensive literature review, the study identified 24 technologies and/or tools for creating, sustaining, and enhancing the resilience within Smart Cities. In doing so, they should collect and manage citywide geodata and foster public participation. While the wise utilisation of the most suitable and feasible tools and technologies is a measure of smartness in a Smart City, the findings suggested four key factors with which these technologies could be assessed. These four factors included impact on society, the adoption speed by Smart Cities, the maturity of the technology, and the capabilities offered to the community.
An Analysis of Residual Financial Contagion in Romania’s Banking Market for Mortgage Loans
Authors: Ionescu Ștefan , Chiriță Nora , Nica Ionuț , Delcea Camelia
Published: August 2023

The uncertainty of the environment, the complexity of economic systems, both at the national and global economy levels, and the digital age and artificial intelligence draw attention to the existence or appearance of systemic, disruptive phenomena that can appear and propagate in different forms, producing effects that can turn into economic crises. These phenomena can be transmitted like a domino effect, and they are referred to as the contagion effect in the scientific literature. In this research, one of the four forms of financial contagion, known as residual contagion, is studied on the mortgage loan market in Romania using agent-based modeling. By considering the economic crisis of 2007–2009, also supported by the mortgage crisis, in the present paper, we aim to study the Romanian mortgage market in 2022 through the use of machine learning techniques and agent-based modeling. The purpose of this research is to capture the potential systemic risks that can outline a residual financial contagion effect. The simulation results highlight the fact that the degree of connectivity between the commercial banks in Romania and the way in which they are interconnected have a major importance in the emergence and propagation of contagion effects. The proposed approach and the obtained results can offer more insight to policymakers on how the contagion effect takes place within the banking sector.
The Spatiotemporal Links between Urban and Rural Regions through the Sale and Consumption of Agri-Food Products
Authors: Ribeiro Carlos , Viana Cláudia M. , Girão Inês , Figueiredo Elisabete , Rocha Jorge
Published: August 2023

The asymmetries between rural and urban areas have continued to increase over the last decades, contributing to an imbalance of economic, social, and territorial dimensions between regions. Urban stores specialized in the commercialization of rural provenance agri-food products can have a role in the promotion of interrelations between the countryside and the cities and contribute to publicizing and promoting rural regions among the urban populations and tourists. Thus, this work aims to understand and characterize the growth of these stores in two of the main urban and tourist centers of Oporto and Lisbon. For this purpose, we developed an analytical framework with the support of a spatial analysis using geographic information systems (GIS) to understand their organization as well as the spatiotemporal evolution and distribution. We also investigated the geographical patterns of the supply chains of marketed agri-food products and the spatial relationships between agri-food products from their production to their commercialization and consumption. The results revealed that most of the agri-food products originate in the inland rural regions of the country with a clear geographical connection between the analyzed stores and specific territories. Moreover, we verify an increased interest and consumption of agri-food products and a spontaneous increase in this type of store. Overall, these stores, in addition to selling agri-food products, are also promoters of rural territories in an urban environment.
The Structure and Characteristics of Chinese University English Teachers’ Identities: Toward a Sustainable Language Pedagogy
Authors: Chen Shan , Zhang Lawrence Jun , McNaughton Stuart
Published: August 2023

This study investigates the enacted identities of Chinese university English teachers in the context of English as a foreign language (EFL) teaching. The aim is to explore the underlying structure and characteristics of these teachers’ identities and examine their alignment with the principles of sustainable learning in education (SLE), which goes beyond knowledge acquisition in a chosen discipline and aims to nurture life-long and resilient learners that are able to reflect upon, renew, relearn, and assess what has been taught and orient themselves for future learning processes. A questionnaire was used to gather perceptions of enacted identities in teaching practice from 326 Chinese university English teachers. Exploratory Factor Analysis (EFA) revealed four distinct dimensions of identity: Advocate and Motivator for English Learning, Facilitator of English Learning, Reflective Practitioner and Researcher, and Book Teacher. Interviews were conducted with a subsample of 12 teachers to further explore the contextualized meanings of these identity factors. The findings indicate that these identity dimensions align with the four tenets of sustainable learning in education, reflecting the teachers’ orientations toward sustainable language teaching practices. This study contributes to our knowledge of language teachers’ shared identities and offers important implications for language teacher professional development.
Heritage and Environment: Greenery as a Climate Change Mitigation Factor in Selected UNESCO Sites in Krakow
Authors: Zachariasz Agata , Jopek Dorota , Kochel Laura
Published: August 2023

The quantity and condition of urban greenery directly affect the quality of life of residents and space users. This quality is linked to measures that reduce the negative impact of climate change. It was assumed that urban greenery should not only be protected but also should have its stock increased, which is not easy in a historical, compact structure under statutory conservation. This paper discusses the issue of green areas in the strict city centre of Krakow, a UNESCO World Heritage Site since 1978. The study area includes two medieval towns that had their town charters issued in the 13th and 14th centuries, which together formed a central town and a satellite town. Kazimierz and Stradom were subjected to a detailed investigation. A review of the literature and other sources made it possible to identify changes in the structure of green spaces in terms of chronology and quantity. Changes in the area, accessibility and the legal provisions arising from the various forms of statutory conservation and their consequences were analysed. Multi-criteria analyses of the historical urban structure and the types, forms and potential for introducing greenery into the historical area were also performed. The intention was to strengthen green infrastructure, which is a key element in climate change mitigation.
Effects of Climate-Change-Related Phenomena on Coastal Ecosystems in the Mexican Caribbean
Authors: Guzmán Odette , Mendoza Edgar , van Tussenbroek Brigitta I. , Silva Rodolfo
Published: August 2023

The intensity of climate change impacts on coastal ecosystems is determined by a combination of global, regional, and local drivers. However, many studies on the impact of climate change on ecosystems only consider trends associated with global changes. To assess the global, regional, and local trends, this research analyzes different climates in the coastal zone of the Mexican Caribbean. These drivers include sea level rise in synergy with tectonic activity, sea surface temperature, atmospheric pressure, precipitation, waves and winds. Marine climate variability from 1980 to 2020 was assessed from historical records by local/governmental agencies and the European Centre for Medium-Range Weather Forecasting. An up-to-date diagnosis of local changes of the coastal ecosystems was made, the magnitudes of change differ from the global means, which must be considered when identifying local climate change impacts. Coastal ecosystems, such as mangroves, coastal dunes, sandy beaches and seagrass meadows, showed no changes consistent with geophysical drivers associated with climate change. The exception was coral reefs, where increasing SST is related to coral bleaching. Regional and local anthropic drivers or disturbances other than those related to climate change, including eutrophication, massive influxes of the brown algae Sargasso and changes in land use, induced degradation of the coastal ecosystems. Communities often do not have the capacity to cope with global climate change, but the main impacts on coastal ecosystems in the coastal zone studied were induced by regional and local drivers/disturbances that can be better managed using monitoring programmes and specific management strategies. Climate change induces pressures on coastal ecosystems that affect their functioning, physiology and species distribution; therefore, this study highlights the need to understand how climate-change-related phenomena will affect ecosystems and which geophysical drivers may have priority effects. It also highlights the importance of developing robust regional/local databases to enable stakeholders to diagnose the state of coastal ecosystems and to monitor the effectiveness of actions to prevent or reverse undesirable changes.
Proximity Sports as a Sustainable Strategy for the Promotion of Physical Activity at an Early Age: The KIA Project
Authors: Barrachina Valentina , Marcen Celia , Mainer-Pardos Elena , Arbones-Arque Irela
Published: August 2023

This paper presents the main results of the Kids in Action (KIA) project, which aimed to promote physical activity and sport among children aged 3 to 11, by linking the education, sports, and family sectors. It applies the concepts of proximity consumption and the 15-min city to sustainable and healthy habits. This study aims to evaluate the application of the concept of proximity to the provision of physical sports activities from an early age to reduce the drop-out rate of PA through collaboration between schools, local government, and the sports sector. A mixed methodology was used, applying a survey and interviews with the stakeholders to identify good practices when promoting physical activity at an early age. A total of 147 children and 10 adults (3 family members, 4 school managers or teachers, and 3 sports managers) participated. The main results included the importance of introducing sport and providing adequate facilities, namely through guided workshops. It influences not only the actual participation in sport but also the intention to continue practicing it. It is observed that children with less affinity for conventional sports benefit particularly from initiatives such as the KIA program. On the other hand, the lack of available resources and the influence of sports culture in families are considered the main barriers. They are factors that harm the quality of participation.
Performance Analysis of Manufacturing Waste Using SWARA and VIKOR Methods: Evaluation of Turkey within the Scope of the Circular Economy
Authors: Koska Alaeddin , Erdem Mehri Banu
Published: August 2023

The increasing population and industrial developments driven by growing needs and expectations have led to an increase in consumption. The rise in consumption, in turn, results in more waste generation. The management of waste has become a global issue concerning human and environmental health. As a solution to climate change, waste, and biodiversity loss, the concept of the circular economy has emerged, which involves a global effort. Zero waste, which is one of the key elements of the circular economy, is regulated by waste management legislation in the European Union in accordance with the waste management hierarchy. Therefore, waste management is an important and urgent issue that requires significant planning, especially for countries with trade relations with the European Union. This study aims to evaluate the performance of waste management in Turkey’s manufacturing industry within the scope of the circular economy. The SWARA (Step-wise Weight Assessment Ratio Analysis) and VIKOR (VIseKriterijumsa Optimizacija I Kompromisno Resenje) multi-criteria decision-making methods were used in the research. The examination of manufacturing waste in conjunction with the waste hierarchy and within the scope of the circular economy using multi-criteria decision-making methods sets this study apart from other research on the subject. The analysis results indicate that Turkey, particularly in the preference for the option of selling, has shown an increasing trend in waste reduction, reuse, and recycling indicators, while showing a decreasing trend in disposal. In this context, it can be said that Turkey will not face difficulties in the process of aligning with the European Green Deal, and positive environmental developments have been observed.
Efficient Families of Multi-Point Iterative Methods and Their Self-Acceleration with Memory for Solving Nonlinear Equations
Authors: Thangkhenpau G , Panday Sunil , Bolunduţ Liviu C. , Jäntschi Lorentz
Published: August 2023

In this paper, we have constructed new families of derivative-free three- and four-parametric methods with and without memory for finding the roots of nonlinear equations. Error analysis verifies that the without-memory methods are optimal as per Kung–Traub’s conjecture, with orders of convergence of 4 and 8, respectively. To further enhance their convergence capabilities, the with-memory methods incorporate accelerating parameters, elevating their convergence orders to 7.5311 and 15.5156, respectively, without introducing extra function evaluations. As such, they exhibit exceptional efficiency indices of 1.9601 and 1.9847, respectively, nearing the maximum efficiency index of 2. The convergence domains are also analysed using the basins of attraction, which exhibit symmetrical patterns and shed light on the fascinating interplay between symmetry, dynamic behaviour, the number of diverging points, and efficient root-finding methods for nonlinear equations. Numerical experiments and comparison with existing methods are carried out on some nonlinear functions, including real-world chemical engineering problems, to demonstrate the effectiveness of the new proposed methods and confirm the theoretical results. Notably, our numerical experiments reveal that the proposed methods outperform their existing counterparts, offering superior precision in computation.
Anchored and Lifted Diffusion Flames Supported by Symmetric and Asymmetric Edge Flames
Authors: Lu Zhanbin , Matalon Moshe
Published: August 2023

Numerous combustion applications are concerned with the stabilization of diffusion flames formed by injecting gaseous fuels into a co-flowing stream containing an oxidizer. The smooth operation of these devices depends on the attachment and lift-off characteristics of the edge flame at the base of the diffusion flame. In this paper, we address fundamental issues pertinent to the structure and dynamics of edge flames, which have attributes of both premixed and diffusion flames. The adopted configuration is the mixing layer established in the wake of a splitter plate where two streams, one containing fuel and the other oxidizer, merge. The analysis employs a diffusive-thermal model which, although it excludes effects of gas expansion, systematically includes the influences of the overall flow rate, unequal strain rates in the incoming streams, stoichiometry, differential and preferential diffusion, heat loss and gas–solid thermal interaction, and their effect on the edge structure, speed, and temperature. Conditions when the edge flame is anchored to the plate, lifted-off and stabilized in the flow, or blown-off, are identified. Two stable modes of stabilization are observed for lifted flames; the edge flame either remains stationary at a specified location or undergoes spontaneous oscillations along a direction that coincides with the trailing diffusion flame.
Results of Hyperbolic Ricci Solitons
Authors: Blaga Adara M. , Özgür Cihan
Published: August 2023

We obtain some properties of a hyperbolic Ricci soliton with certain types of potential vector fields, and we point out some conditions when it reduces to a trivial Ricci soliton. We also study those soliton submanifolds whose vector fields are the tangential components of a concurrent vector field on the ambient manifold, and in particular, we show that a totally umbilical hyperbolic Ricci soliton is an Einstein manifold. We prove that if the hyperbolic Ricci soliton hypersurface of a Riemannian manifold of constant curvature and endowed with a concurrent vector field has a parallel shape operator, then it is a metallic-shaped hypersurface, and we determine some conditions for it to be minimal. Moreover, we show that it is also a pseudosymmetric hypersurface.
A Station-Keeping Control Strategy for a Symmetrical Spacecraft Utilizing Hybrid Low-Thrust Propulsion in the Heliocentric Displaced Orbit
Authors: Zhang Tengfei , Mu Rongjun , Zhou Yilin , Liao Zizheng , Zhang Zhewei , Liao Bo , Yao Chuang
Published: August 2023

The solar sail spacecraft utilizing a hybrid approach of solar sail and solar electric propulsion in the heliocentric displaced orbit is affected by external disturbances, internal unmodeled dynamics, initial injection errors, and input saturation. To solve the station-keeping control problem under such complex conditions, an adaptive control strategy is proposed. First, the dynamical equations of the spacecraft utilizing hybrid low-thrust propulsion in the cylindrical coordinate system are derived. Second, the combined disturbance acceleration introduced by external disturbances and internal unmodeled dynamics is constructed, and a radial basis function neural network estimator is designed to estimate it online in real time. Third, an adaptive high-performance station-keeping controller based on an improved integral sliding surface and multivariate super-twisting sliding mode approaching law is designed. Then, stability analysis is conducted using Lyapunov theory, adaptive laws are designed, and the introduced virtual control accelerations are converted into actual control variables. Finally, simulations are conducted under different simulation conditions based on the disturbance sources. The results show that although the use of hybrid low-thrust propulsion breaks the symmetry of the solar sail in configuration, the proposed control strategy can effectively achieve the station-keeping and disturbance estimation of the spacecraft with only a small amount of propellant consumed and position tracking errors up to decimeters.
Exploring the Future Design Approach to Ageing Based on the Double Diamond Model
Authors: Wang Xiaochun , Huang Zihan , Xu Tongfei , Li Yuting , Qin Xiangang
Published: August 2023

As the global trend of aging continues to intensify, there will inevitably be more complex and diverse aging-related problems. Designers have a responsibility to explore the possible outcomes of the future and solve the ageing-related problems that will be faced in the future. Based on the Future Cone, the Double Diamond Model and the IDEO Method Cards, this study proposes a new model to guide the design practice of future aging issues in the context of aging. With the aim of validating and refining the framework, an ageing designer workshop was held, in which participants were asked to imagine, explore and express ideas about future ageing-related issues. The workshop was used to refine the proposed model. Specifically, the model includes a future concept, a design guidance process based on the Double Diamond Model, and tools that can be applied at all stages of design, which can help designers to generate ideas and solutions for future aging problems, as well as collectively lead society toward a more desirable future. Moreover, this study explores broader directions for the development of the model and provides a reference for continued research into this topic in the future.
Electrochemical Detection of Furaltadone Antibiotic Drug by the Rare Earth Metal Tungstate Decorated Screen Printed Carbon Electrode
Authors: Vinothini Sivaramakrishnan , Chiu Te-Wei , Sakthinathan Subramanian
Published: August 2023

Furaltadone (FLD) is an antibiotic drug that is widely treated for coccidiosis, intestinal infection, and turkey blackhead. Moreover, excessive use of FLD may have some negative consequences for humans and domestic animals. Therefore, practical, sensitive, selective, and facile detection of FLD is still needed. In this exploration, a Eu2(WO4)3-nanoparticles-modified screen-printed carbon electrode was developed for the low-level detection of FLD. Hydrothermal techniques were used effectively to prepare the Eu2(WO4)3 complex. Scanning electron microscopy and X-ray diffraction investigations were used to confirm the Eu2(WO4)3. The results revealed that the Eu2(WO4)3 was well formed, crystalline, and uniformly distributed. Furthermore, the electrochemical behavior of the SPCE/Eu2(WO4) electrode was examined by differential pulse voltammetry and cyclic voltammetry studies. The SPCE/Eu2(WO4) electrode demonstrated improved electrocatalytic activity in the detection of FLD with a detection limit of 97 µM (S/N = 3), linear range of 10 nM to 300 µM, and sensitivity of 2.1335 µA µM−1 cm−2. The SPCE/Eu2(WO4) electrode detected FLD in the presence of 500-fold excess concentrations of other interfering pollutant ions. The practical feasibility of the SPCE/Eu2(WO4) electrode was tested on different antibiotic medicines and showed adequate recovery. Moreover, the SPCE/Eu2(WO4) electrode shows appreciable repeatability, high stability, and reproducibility.
Adverse Responses following Exposure to Subtoxic Concentrations of Zinc Oxide and Nickle Oxide Nanoparticles in the Raw 264.7 Cells
Authors: Alsaleh Nasser B. , Assiri Mohammed A. , Aljarbou Anas M. , Almutairi Mohammed M. , As Sobeai Homood M. , Alshamrani Ali A. , Almudimeegh Sultan
Published: August 2023

The incorporation of engineered nanomaterials (ENMs) in biomedical and consumer products has been growing, leading to increased human exposure. Previous research was largely focused on studying direct ENM toxicity in unrealistic high-exposure settings. This could result in overlooking potential adverse responses at low and subtoxic exposure levels. This study investigated adverse cellular outcomes to subtoxic concentrations of zinc oxide (ZnONPs) or nickel oxide (NiONPs) nanoparticles in the Raw 264.7 cells, a macrophage-like cell model. Exposure to both nanoparticles resulted in a concentration-dependent reduction of cell viability. A subtoxic concentration of 6.25 µg/mL (i.e., no observed adverse effect level) was used in subsequent experiments. Exposure to both nanoparticles at subtoxic levels induced reactive oxygen species generation. Cellular internalization data demonstrated significant uptake of NiONPs, while there was minimal uptake of ZnONPs, suggesting a membrane-driven interaction. Although subtoxic exposure to both nanoparticles was not associated with cell activation (based on the expression of MHC-II and CD86 surface markers), it resulted in the modulation of the lipopolysaccharide-induced inflammatory response (TNFα and IL6), and cells exposed to ZnONPs had reduced cell phagocytic capacity. Furthermore, subtoxic exposure to the nanoparticles distinctly altered the levels of several cellular metabolites involved in cell bioenergetics. These findings suggest that exposure to ENMs at subtoxic levels may not be devoid of adverse health outcomes. This emphasizes the importance of establishing sensitive endpoints of exposure and toxicity beyond conventional toxicological testing.
A Temperate Sinorhizobium Phage, AP-16-3, Closely Related to Phage 16-3: Mosaic Genome and Prophage Analysis
Authors: Kozlova Alexandra P. , Saksaganskaia Alla S. , Afonin Alexey M. , Muntyan Victoria S. , Vladimirova Maria E. , Dzyubenko Elena A. , Roumiantseva Marina L.
Published: August 2023

Soil Sinorhizobium phage AP-16-3, a strain phylogenetically close to Rhizobium phage 16-3, was isolated in a mountainous region of Dagestan, belonging to the origin of cultivated plants in the Caucasus, according to Vavilov N.I. The genome of phage AP-16-3 is 61 kbp in size and contains 62 ORFs, of which 42 ORFs have homologues in the genome of Rhizobium phage 16-3, which was studied in the 1960s–1980s. A search for Rhizobium phage 16-3-related sequences was performed in the genomes of modern strains of root nodule bacteria belonging to different species, genera, and families. A total of 43 prophages of interest were identified out of 437 prophages found in the genomes of 42 strains, of which 31 belonged to Sinorhizobium meliloti species. However, almost all of the mentioned prophages contained single ORFs, and only two prophages contained 51 and 39 ORFs homologous to phages related to 16-3. These prophages were detected in S. meliloti NV1.1.1 and Rh. leguminosarum OyaliB strains belonging to different genera; however, the similarity level of these two prophages did not exceed 14.7%. Analysis of the orphan genes in these prophages showed that they encoded predominantly virion structural elements, but also enzymes and an extensive group of hypothetical proteins belonging to the L, S, and E regions of viral genes of phage 16-3. The data obtained indicate that temperate phages related to 16-3 had high infectivity against nodule bacteria and participated in intragenomic recombination events involving other phages, and in horizontal gene transfer between rhizobia of different genera. According to the data obtained, it is assumed that the repetitive lysogenic cycle of temperate bacteriophages promotes the dissolution of the phage genetic material in the host bacterial genome, and radical updating of phage and host bacterial genomes takes place.
Acceptance of a Text Messaging Vaccination Reminder and Recall System in Malaysia’s Healthcare Sector: Extending the Technology Acceptance Model
Authors: Karkonasasi Kamal , Cheah Yu-N , Vadiveloo Mogana , Mousavi Seyed Aliakbar
Published: August 2023

Malaysian healthcare institutions still use ineffective paper-based vaccination systems to manage childhood immunization schedules. This may lead to missed appointments, incomplete vaccinations, and outbreaks of preventable diseases among infants. To address this issue, a text messaging vaccination reminder and recall system named Virtual Health Connect (VHC) was studied. VHC simplifies and accelerates immunization administration for nurses, which may result in improving the completion and timeliness of immunizations among infants. Considering the limited research on the acceptance of these systems in the healthcare sector, we examined the factors influencing nurses’ attitudes and intentions to use VHC using the extended technology acceptance model (TAM). The novelty of the conceptual model is the incorporation of new predictors of attitude, namely, perceived compatibility and perceived privacy and security issues. We conducted a survey among 121 nurses in Malaysian government hospitals and clinics to test the model. We analyzed the collected data using partial least squares structural equation modeling (PLS-SEM) to examine the significant factors influencing nurses’ attitudes and intentions to use VHC. Moreover, we applied an artificial neural network (ANN) to determine the most significant factors of acceptance with higher accuracy. Therefore, we could offer more accurate insights to decision-makers in the healthcare sector for the advancement of health services. Our results highlighted that the compatibility of VHC with the current work setting of nurses developed their positive perspectives on the system. Moreover, the nurses felt optimistic about the system when they considered it useful and easy to use in the workplace. Finally, their attitude toward using VHC played a pivotal role in increasing their intention to use it. Based on the ANN models, we also found that perceived compatibility was the most significant factor influencing nurses’ attitudes towards using VHC, followed by perceived ease of use and perceived usefulness.
Trust, Interaction with Neighbors, and Vaccination during the COVID-19 Pandemic: A Cross-Sectional Analysis of Chinese Data
Authors: Oshio Takashi , Ping Ruru
Published: August 2023

The COVID-19 pandemic significantly impacted public health and quality of life, leading to government recommendations for vaccination. Using cross-sectional data from a nationwide population-based survey conducted in China (N = 6860), this study aimed to examine the associations between individual vaccine uptake and general trust in others, trust in government, and interaction with neighbors. We conducted a multilevel logistic regression analysis to examine the relevance of these factors at the individual and community levels. Among young adults, higher levels of general trust at both levels were positively associated with vaccination, with odds ratios (OR) of 1.35 (95% confidence interval [CI]: 1.07, 1.70) and 1.58 (95% CI: 1.14, 2.18), respectively. We also found a positive association between vaccination and community-level interaction with neighbors, with ORs of 1.55 (95% CI: 1.11, 2.17). In contrast, among older individuals, vaccination was positively associated only with individual-level interaction with neighbors, with an OR of 1.55 (95% CI: 1.15, 2.08). The results indicated that vaccine uptake was associated with an individual’s views of society and the social environment of the community, with substantial variations between the young and the old. Our findings emphasize the significance of public health measures to strengthen neighborhood interactions among older adults.
Negative-Pressure Wound Therapy (NPWT) in Horses: A Scoping Review
Authors: Cantatore Federica , Pagliara Eleonora , Marcatili Marco , Bertuglia Andrea
Published: August 2023

Obtaining a healthy wound environment that is conductive to healing in horses can be challenging. Negative-pressure wound therapy (NPWT) has been employed in humans to enhance wound healing for decades. The existing evidence for the effectiveness of NPWT remains uncertain in equine medicine. The aim of this review is to investigate NPWT applications and benefits in horses. A scoping review was performed according to the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines for scoping reviews on three databases (PubMed, Web of Science-Thompson Reuters, and Wiley Online Library). Twenty-four manuscripts were considered. After removing duplicates, 17 papers underwent abstract screening. Of these, 16 + 1 (cited by others) were evaluated for eligibility according to PICOs, including no case reports/retrospective studies, four original articles, and three reviews. Fifteen manuscripts met the inclusion criteria. The focus of the articles was wound management; they included three reports of wounds communicating with synovial structures. Traumatic wounds and surgical-site infections are indications for NPWT. NPWT presents several advantages and few complications making it an attractive alternative to conventional wound management. However, randomized controlled trials should be performed to quantify the benefits and establish precise protocols in horses.
A Canine Leptospirosis Clinical Case Due to Leptospira interrogans (Serogroup Icterohaemorrhagiae) in a Dog Kennel in Castelvetrano (Western Sicily, South Italy)
Authors: Grippi Francesca , Blanda Valeria , Galluzzo Paola , Bongiorno Manuel , Sciacca Carmela , Arcuri Francesca , D’Agostino Rosalia , Giacchino Ilenia , Gucciardi Francesca , D’Incau Mario , Bertasio Cristina , Torina Alessandra , Guercio Annalisa
Published: August 2023

Leptospirosis is a worldwide widespread zoonosis caused by Leptospira genus. We report an acute leptospirosis case in a puppy housed at a municipal kennel and the subsequent diagnostic investigations carried out on all dogs housed in the kennel. Laboratory investigation included mainly a microagglutination test, real-time PCR, and multi-locus sequence typing (MLST) for Leptospira genus. Other agents of infection were excluded. The puppy resulted positive for Leptospira interrogans Icterohaemorrhagiae both with serological and molecular assays. All of the other 66 dogs in the kennel underwent clinical and laboratory investigations twice, 15 days apart. No other dog showed leptospirosis clinical signs. At the first sampling, eight dogs (12%) showed antibodies against Leptospira interrogans serogroup Icterohaemorragiae serovar Copenhageni. Real-time PCR on urine samples of seropositive dogs detected Leptospira spp. DNA in one sample, then identified as Leptospira interrogans serogroup Icterohaemorragiae by MLST. Fifteen days after, four of the previous seropositive dogs still showed antibodies against Leptospira spp. All urine samples collected from seropositive dogs were negative at real-time PCR. The study allowed the early confirmation of a Leptospirosis case and the identification of at least one asymptomatic carrier of pathogenic Leptospira spp. The prompt activation of all appropriate management measures allowed limiting and extinguishing the infection.
Surface Modification of TiO2/g-C3N4 Electrode with N, P Codoped CQDs for Photoelectrocatalytic Degradation of 1,4-Dioxane
Authors: Su Yuehan , Ye Yongbei , Lin Songwei , Lu Yaobin , Luo Haiping , Liu Guangli
Published: August 2023

The aim of this study was to synthesize N, P codoped CQDs modifying TiO2/g-C3N4 nanorod array (i.e., N, P-CQD/TCN NA) photoanodes for the degradation of 1,4-dioxane (1,4-D) and to explore the possibility of the photoelectrocatalytic (PEC) process in wastewater treatment. With the characterization of N, P-CQD/TCN NA anodes, 1,4-D degradation and pesticide wastewater was tested in the PEC cell, respectively. Under a bias voltage of 1.2 V and visible light, the current density of the N, P-CQD/TCN NAs was much higher than that of the CQD/TCN NAs (0.15 vs. 0.11 mA/cm2). The removal of 1,4-D reached 97% in the PEC cell within 6 h. The high performance of the N, P-CQD/TCN NA anodes could be attributed to the efficient charge separation, narrowed energy gap, and high upconverted PL properties. The C4 and C6 positions of 1,4-D were the preferential sites for the nucleophilic attack to form intermediates. The COD removal in the pesticide wastewater was kept stable at ~80% in a five-cycle operation using the PEC cell with the N, P-CQD/TCN NA photoelectric anodes. The results from this study should provide a promising way to develop novel photoelectric catalysts and to expand PEC application in wastewater treatment.
Study on Response Process and Time Delay Effect of Groundwater Dynamic in Northeastern Margin of Tibetan Plateau
Authors: Song Shuhong , Li Huanhuan , Yang Mi , Gu Zhao , Wang Xiaohang , Zhang Wenting , Liu Yongzhi
Published: August 2023

Under the background of drastic global climate change, the evolution law of groundwater resources in the northeastern margin of the Tibetan Plateau presents new characteristics, and the groundwater is gradually becoming more complicated, diversified and disordered. In this study, cross-correlation analysis, wavelet analysis and cross-wavelet transform were used to explore the response mechanism and time delay effect of groundwater, exploitation amount, rainfall and surface runoff in the northeastern margin of the Tibetan Plateau. The results show that the groundwater depth increased with the increase in the exploitation amount and decreased with the increase in the rainfall-to-exploitation ration and the surface runoff-to-exploitation ratio from 1980 to 2020. On the annual scale, groundwater, rainfall and surface runoff had a strong cohesiveness period of 12a. On the monthly scale, groundwater lagged behind rainfall and surface runoff for 3 months and 2 months, respectively. The above conclusions provide a scientific theoretical basis for deepening the characteristics of groundwater endowment, the evolution law of water cycle elements and the theory of the hydrological cycle in the northeastern margin of the Tibetan Plateau.
Parameterization for Modeling Blue–Green Infrastructures in Urban Settings Using SWMM-UrbanEVA
Authors: Hörnschemeyer Birgitta , Henrichs Malte , Dittmer Ulrich , Uhl Mathias
Published: August 2023

Blue–green infrastructures (BGI) play an important role in addressing contemporary challenges posed by urbanization, climate change, and demographic shifts. This study focuses on the parameterization of BGI within hydrological models, specifically emphasizing the Low Impact Development (LID) module of the Storm Water Management Model (SWMM), supplemented by the SWMM-UrbanEVA evapotranspiration model. Employing a systematic approach, a transferable framework is developed to categorize BGI types, leading to a comprehensive parameterization toolset. This toolset includes parameter estimates for predefined BGI types, encompassing both natural and technical systems with a specific emphasis on plant-specific parameterization. The justification of these parameter estimates is supported by an extensive literature review. Sensitivity analyses reveal the influence of plant-specific parameters, such as the crop factor (KC), and soil storage capacity, on water balance and peak runoff. Additionally, this study presents practical guidelines to enhance the comprehension of model behavior and ensure the highest possible quality in model parameterization. While further research on validity and transferability of the toolset is required, the findings of this study provide useful support for the differentiated representation and analysis of hydrological processes in urban environments. As a result, this study serves as a valuable resource for researchers, practitioners, and decision makers, facilitating the implementation of sustainable water management practices in urban settings.