bluuebunny/crossref_metadata_2025 huggingface dataset:
Fine-Scale Quantification of the Effect of Maize Tassel on Canopy Reflectance with 3D Radiative Transfer Modeling
Authors: Jiang Youyi , Cheng Zhida , Yang Guijun , Zhao Dan , Zhang Chengjian , Xu Bo , Feng Haikuan , Feng Ziheng , Ren Lipeng , Zhang Yuan , Yang Hao
Published: July 2024

Quantifying the effect of maize tassel on canopy reflectance is essential for creating a tasseling progress monitoring index, aiding precision agriculture monitoring, and understanding vegetation canopy radiative transfer. Traditional field measurements often struggle to detect the subtle reflectance differences caused by tassels due to complex environmental factors and challenges in controlling variables. The three-dimensional (3D) radiative transfer model offers a reliable method to study this relationship by accurately simulating interactions between solar radiation and canopy structure. This study used the LESS (large-scale remote sensing data and image simulation framework) model to analyze the impact of maize tassels on visible and near-infrared reflectance in heterogeneous 3D scenes by modifying the structural and optical properties of canopy components. We also examined the anisotropic characteristics of tassel effects on canopy reflectance and explored the mechanisms behind these effects based on the quantified contributions of the optical properties of canopy components. The results showed that (1) the effect of tassels under different planting densities mainly manifests in the near-infrared band of the canopy spectrum, with a variation magnitude of ±0.04. In contrast, the impact of tassels on different leaf area index (LAI) shows a smaller response difference, with a magnitude of ±0.01. As tassels change from green to gray during growth, their effect on reducing canopy reflectance increases. (2) The effect of maize tassel on canopy reflectance varied with spectral bands and showed an obvious directional effect. In the red band at the same sun position, the difference in tassel effect caused by the observed zenith angle on canopy reflectance reaches 200%, while in the near-infrared band, the difference is as high as 400%. The hotspot effect of the canopy has a significant weakening effect on the shadow effect of the tassel. (3) The non-transmittance optical properties of maize tassels reduce canopy reflectance, while their high reflectance increases it. Thus, the dual effects of tassels create a game in canopy reflectance, with the final outcome mainly depending on the sensitivity of the canopy spectrum to transmittance. This study demonstrates the potential of using 3D radiative transfer models to quantify the effects of crop fine structure on canopy reflectance and provides some insights for optimizing crop structure and implementing precision agriculture management (such as selective breeding of crop optimal plant type).
A Waveform Design for Integrated Radar and Jamming Based on Smart Modulation and Complementary Coding
Authors: Yan Huabin , Zhang Shiyuan , Lu Xingyu , Yang Jianchao , Duan Lunhao , Tan Ke , Gu Hong
Published: July 2024

Waveform design for integrated radar and jamming is generally based on the concept of shared waveform, which uses jamming signals without typical radar signal characteristics for detection. Existing waveforms have shown limited design flexibility, high levels of sidelobe in detection results, and overall ordinary performance. We propose an integrated radar and jamming waveform based on smart modulation and complementary coding. Unlike traditional integrated radar and jamming waveform based on smart modulation, the phase angle of the binary phase-coded sequence is adjustable in this smart modulation method, allowing for a controllable jamming effect, achieving true smart modulation. However, this smart modulation waveform also suffers from high sidelobes in detection. To address this issue, we take a complementary coding approach and design a smart modulation waveform with complementary characteristics. This waveform can synthesize a complete linear frequency modulation (LFM) signal by adding two pulses together, thereby reducing the sidelobes in the smart modulation waveform and enhancing its detection performance. Theoretical analysis indicates that the detection and jamming effects of this integrated waveform can be flexibly controlled by adjusting the phase angles of the coding sequences. Simulation analysis and experimental results confirm the significant advantages of this waveform.
Fusing Multispectral and LiDAR Data for CNN-Based Semantic Segmentation in Semi-Arid Mediterranean Environments: Land Cover Classification and Analysis
Authors: Chroni Athanasia , Vasilakos Christos , Christaki Marianna , Soulakellis Nikolaos
Published: July 2024

Spectral confusion among land cover classes is quite common, let alone in a complex and heterogenous system like the semi-arid Mediterranean environment; thus, employing new developments in remote sensing, such as multispectral imagery (MSI) captured by unmanned aerial vehicles (UAVs) and airborne light detection and ranging (LiDAR) techniques, with deep learning (DL) algorithms for land cover classification can help to address this problem. Therefore, we propose an image-based land cover classification methodology based on fusing multispectral and airborne LiDAR data by adopting CNN-based semantic segmentation in a semi-arid Mediterranean area of northeastern Aegean, Greece. The methodology consists of three stages: (i) data pre-processing, (ii) semantic segmentation, and (iii) accuracy assessment. The multispectral bands were stacked with the calculated Normalized Difference Vegetation Index (NDVI) and the LiDAR-based attributes height, intensity, and number of returns converted into two-dimensional (2D) images. Then, a hyper-parameter analysis was performed to investigate the impact on the classification accuracy and training time of the U-Net architecture by varying the input tile size and the patch size for prediction, including the learning rate and algorithm optimizer. Finally, comparative experiments were conducted by altering the input data type to test our hypothesis, and the CNN model performance was analyzed by using accuracy assessment metrics and visually comparing the segmentation maps. The findings of this investigation showed that fusing multispectral and LiDAR data improves the classification accuracy of the U-Net, as it yielded the highest overall accuracy of 79.34% and a kappa coefficient of 0.6966, compared to using multispectral (OA: 76.03%; K: 0.6538) or LiDAR (OA: 37.79%; K: 0.0840) data separately. Although some confusion still exists among the seven land cover classes observed, the U-Net delivered a detailed and quite accurate segmentation map.
Detection of Unfocused EEG Epochs by the Application of Machine Learning Algorithm
Authors: Akhter Rafia , Beyette Fred R.
Published: July 2024

Electroencephalography (EEG) is a non-invasive method used to track human brain activity over time. The time-locked EEG to an external event is known as event-related potential (ERP). ERP can be a biomarker of human perception and other cognitive processes. The success of ERP research depends on the laboratory conditions and attentiveness of the test subjects. Specifically, the inability to control experimental variables has reduced ERP research in the real world. This study collected EEG data under various experimental circumstances within an auditory oddball paradigm experiment to enable the use of ERP as an active biomarker in normal laboratory conditions. Then, ERP epochs were analyzed to identify unfocused epochs, affected by typical artifacts and external distortion. For the initial comparison, the ability of four unsupervised machine learning algorithms (MLAs) was evaluated to identify unfocused epochs. Then, their accuracy was compared with the human inspection and a current EEG analysis tool (EEGLab). All four MLAs were typically 95–100% accurate. In summary, our analysis finds that humans might miss subtle differences in the regular ERP patterns, but MLAs could efficiently identify those. Thus, our analysis suggests that unsupervised MLAs perform better for detecting unfocused ERP epochs compared with the other two standard methods.
A Comparison of Production Methods of High-Purity Perrhenic Acid from Secondary Resources
Authors: Kopyto Dorota , Ciszewski Mateusz , Orda Szymon , Leszczyńska-Sejda Katarzyna , Malarz Joanna , Kowalik Patrycja , Pianowska Karolina , Goc Karolina , Benke Grzegorz , Grzybek Alicja , Babilas Dorota , Dydo Piotr
Published: July 2024

Methods for obtaining high-purity perrhenic acid (with metallic impurities content below 100 ppm) of a high concentration > 200 g/dm3 and entirely from secondary raw materials were compared. Comparative analyses of three methods were performed: electrodialysis, solvent extraction (research carried out directly as part of the Small Grant project acronym RenMet), and ion-exchange (developed as part of previous projects implemented by Łukasiewicz-IMN). The basic process parameters were selected as comparative indicators: efficiency and selectivity of the process, purity of the obtained product, availability and consumption of raw materials and reagents, equipment necessary to carry out the process, the profitability of the technology, and the ecological aspects, i.e., the possibility of managing the generated solid waste and post-production solutions. Analysis of the verified indicators allowed us to select the most economically and ecologically advantageous method of obtaining high-purity perrhenic acid from secondary raw materials. Its preparation using the ion-exchange method emphasizes the product’s purity and the process’s simplicity, using readily available waste materials and renewable ion-exchange resin, and is based on a sustainable circular economy.
Analyzing the Requirements for Smart Pedestrian Applications: Findings from Nicosia, Cyprus
Authors: Papageorgiou George , Demetriou Demetris , Tsappi Elena , Maimaris Athanasios
Published: July 2024

This paper elicits and analyzes the main requirements for Smart Pedestrian applications designed to enhance the pedestrian experience in urban environments by offering optimized walking routes, improved accessibility, and support for social inclusion and connectivity. Utilizing a mixed-methods approach, the research combines qualitative insights with quantitative data analysis based on surveys conducted in two strategically selected urban areas of Nicosia, Cyprus. Through the survey, the requirements and potential use of Smart Pedestrian apps are investigated while accounting for the quality of service of the urban infrastructure in a medium-sized city context. Additionally, the study contrasts the current smartphone applications, as they predominantly facilitate vehicular transportation, with the potential use of ICT/ITS to support pedestrians for sustainable mobility. The findings reveal a significant demand for a Pedestrian Smartphone app, driven by its ability to provide relevant information on optimum pedestrian routes, as well as act as a citizen’s voice for spotting infrastructure problems and improving the pedestrian network. Further, it is also revealed that limitations in the pedestrian infrastructure substantially restrict walking preferences, emphasizing the need for urgent city-level urban planning solutions to support active mobility. Additionally, the research carried out underscores the importance of a sustainable business model to support the successful deployment of Smart Pedestrian apps. Ultimately, the results of the study suggest prioritizing a smart technology leverage with a crowdsourcing social network business model to promote pedestrian mobility, thereby reducing vehicular dependence, enhancing public health, and improving the quality of life. Such an approach would act as catalyst for policymakers to concentrate on sustainability by investing in digital technology for integrated pedestrian networks, fostering the emergence of genuine smart cities.
Moderation Effects of Autonomy and Personal Growth on the Association of Sociotropy and Different Types of Loneliness
Authors: Strizhitskaya Olga , Murtazina Inna
Published: July 2024

Loneliness is one of the most widespread conditions that affect one’s physical and mental health. Loneliness is found in all populations despite age, gender, ethnicity, religion, or socio-economic status. It is related to the quality and availability of social interactions and can be expressed in different social domains. While the negative effects of loneliness are well-established, mechanisms and moderators of loneliness still need more examination. In the present study, we approached loneliness from a multidimensional perspective. We focused on associations between sociotropy and different types of loneliness—family and non-family. Participants were 157 adults aged 35–55, 55% females. Methods were the Social and Emotional Loneliness Scale (SELSA-S), “Sociotropy—Self-Sufficiency” Questionnaire, and Psychological well-being scale (scales of Autonomy and Personal growth). To test moderation effects, we applied Hayes Process v.4 (models 1–3). Results confirmed that sociotropy predicted loneliness, both family and non-family, and autonomy and personal growth moderated this effect. We found two different moderation mechanisms for family and non-family loneliness: parallel negative moderation affected sociotropy—family loneliness association, and negative moderated moderation affected sociotropy—non-family loneliness association. Results suggested that the higher were scores on personal growth and autonomy, the less they affected the association of sociotropy and loneliness. Gender differences in moderation were found only for non-family loneliness.
Scale of Perceptions of Future Primary School Teachers on Unaccompanied Foreign Minors: Exploratory and Confirmatory Analysis
Authors: Serrano-García Jennifer , Rakdani-Arif Billah Fátima Zahra , Olmedo-Moreno Eva María , Expósito-López Jorge
Published: July 2024

Unaccompanied foreign minors (UFMs) face stigmatisation and social exclusion in Spanish territory. Given their growing presence in schools, it is crucial that trainee teachers have valid and real information about these students in order to provide equitable, personalised, and quality education to all their students in the near future and to mitigate any uninformed prejudices and stigma developed before they enter the classroom. This study seeks to validate a scale designed to assess the perceptions of pre-service teachers about UFMs (n = 169). The objective of this study was to validate a scale designed to assess the perceptions of pre-service teachers about UFMs (n = 169). All participants were studying primary education at the University of Granada (Spain) [♂ = 131 (77.5%); ♀ = 37 (21.9%)]. Methodology: A quantitative, descriptive, cross-sectional, ex post facto, and quantitative study was conducted. The data were analyzed with IBM SPSS® 28.0 and IBM Amos Graphics® 23.0 programs. Results: A multidimensional scale was developed with a Cronbach’s alpha of 0.858 and McDonald’s omega of 0.859, consisting of a total of 26 indicators divided into three factors: socio-educational characteristic (n = 13), social threat (n = 7), and physical and emotional well-being (n = 6). The general scale showed high reliability and acceptable fit (p < 0.001; KMO = 0.880; GFI = 0.832; IFI = 0.925; NFI = 0.816; CFI = 0.924; SMSR = 0.058). CFA reports that the items with the highest factor loadings are related to determining whether these minors respect cultural differences, are involved in drug trafficking, and arrive in Spanish territory with significant malnutrition. However, the items with the lowest factor loadings are linked to understanding the type of academic education these minors have, whether they consume alcohol, or if they require teachers with intercultural competencies to help them integrate socially. Conclusions: A reliable and robust scale was developed to assess the perceptions of pre-service primary school teachers about unaccompanied foreign minors. This instrument can be used to identify the knowledge of teachers in training, which allows training actions to be implemented in the context of higher education to raise awareness, detect biases, and make this vulnerable group visible.
Effectiveness of Kinesiotherapy in the Treatment of Achilles Tendinopathy—A Narrative Review
Authors: Trybulski Robert , Muracki Jarosław , Podleśny Mieszko , Vovkanych Andriy , Kużdżał Adrian
Published: July 2024

This narrative review of kinesiotherapy methods in the treatment of Achilles tendinopathy (AT) encompassed a diverse range of studies, including athletes and untrained people, healthy or injured, undergoing kinesiotherapy treatments. Most experimental studies (86%) reported results related to pain perception, 27% to the range of motion, and 27% to biomechanical assessment. However, the studies showed notable heterogeneity in the outcomes associated with the interventions, and, in this review of kinesiotherapy protocols for AT, a prominent observation emerged regarding their efficacy, suggesting a more favorable impact on pain and tendon stiffness management when comparing the measured parameters between the trained and untrained groups. The importance of tailoring the treatment approach based on the individual’s athletic background and conditioning status is underscored. There is a need for personalized rehabilitation strategies in athletic populations. The average duration of kinesiotherapy in the treatment of tendinopathy was 15.3 weeks. This observation underscores the potential of kinesiotherapy interventions as a viable treatment option for individuals with Achilles tendon issues. These findings underscore the urgent need for further research to provide stakeholders with more comprehensive directions for future studies. The results may be helpful for doctors, physiotherapists, trainers, and researchers interested in this topic.
Towards Life Cycle Assessment for the Environmental Evaluation of District Heating and Cooling: A Critical Review
Authors: Autelitano Kevin , Famiglietti Jacopo , Aprile Marcello , Motta Mario
Published: July 2024

District heating and cooling networks represent a compelling energy system solution due to their capacity to integrate renewable energies and leverage local surpluses of thermal resources. The meticulous design and optimization of network infrastructure are imperative to fully exploiting the potential of these energy systems. The Life Cycle Assessment of district heating and cooling networks for the purpose of environmental sustainability is a crucial and increasingly demanded aspect, particularly in light of the progressively stringent European regulations. The Life Cycle Assessment methodology could offer an evaluation throughout the entire life cycle of such networks. The proposed review scrutinizes the application of the Life Cycle Assessment methodology to evaluating the environmental profile of district heating and cooling systems. The methods, findings, and challenges are examined through a literature review and case study analysis. The results highlight variations in the climate profile influenced by the network generation type and multifunctionality approaches. The analysis revealed a range of emission factors, spanning from 11 gCO2eq/kWhth to 470 gCO2eq/kWhth for district heating and 6 gCO2eq/kWhth to 64 gCO2eq/kWhth for district cooling. The discussion emphasizes integrating district heating and cooling network management considerations and addressing methodological challenges. This study concludes by proposing future research directions for developing a universal LCA-based tool for district heating and cooling network analysis.
Seismic Evaluation Based on Poisson Hidden Markov Models—The Case of Central and South America
Authors: Georgakopoulou Evangelia , Tsapanos Theodoros M. , Makrides Andreas , Scordilis Emmanuel , Karagrigoriou Alex , Papadopoulou Alexandra , Karastathis Vassilios
Published: July 2024

A study of earthquake seismicity is undertaken over the areas of Central and South America, the tectonics of which are of great interest. The whole territory is divided into 10 seismic zones based on some seismotectonic characteristics, as in previously published studies. The earthquakes used in the present study are extracted from the catalogs of the International Seismological Center, cover the period of 1900–2021, and are restricted to shallow depths (≤60 km) and a magnitude M≥4.5. Fore- and aftershocks are removed according to Reasenberg’s technique. The paper confines itself to the evaluation of earthquake occurrence probabilities in the seismic zones covering parts of Central and South America, and we implement the hidden Markov model (HMM) and apply the EM algorithm.
A Review on the Allocation of Sustainable Distributed Generators with Electric Vehicle Charging Stations
Authors: Aljumah Abdullah , Darwish Ahmed , Csala Denes , Twigg Peter
Published: July 2024

Environmental concerns and the Paris agreements have prompted intensive efforts towards greener and more sustainable transportation. Persistent expansion of electric vehicles (EV) in the transportation sector requires electric vehicle charging stations (EVCSs) to accommodate the increased demand. Offsetting demand and alleviating the resultant electrical grid stress necessitates establishing grid-integrated renewable energy sources (RESs) where these sustainable strategies are accompanied by variable-weather-related obstacles, such as voltage fluctuations, grid instability, and increased energy losses. Strategic positioning of EVCSs and RES as distributed generation (DG) units is crucial for addressing technical issues. While technical constraints have received considerable attention, there is still a gap in the literature with respect to incorporating the additional complex optimization problems and decision-making processes associated with economic viability, social acceptance, and environmental impact. A possible solution is the incorporation of an appropriate multi-criteria decision analysis (MCDA) approach for feasible trade-off solutions. Such methods offer promising possibilities that can ease decision-making and facilitate sustainable solutions. In this context, this paper presents a review of published approaches for optimizing the allocation of renewable energy DG units and EVCSs in active distribution networks (ADNs). Promising published optimization approaches for the strategic allocation of multiple DG units and EVCSs in ADNs have been analyzed and compared.
Mapping Scientific Knowledge of Renewable Energy and Tourism
Authors: Jiménez-Islas Donaji , Pérez-Romero Miriam E. , Álvarez-García José , del Río-Rama María de la Cruz
Published: July 2024

The need for energy in different global industries encourages the development and application of clean energy. Tourism, being a global development sector, requires energy to maintain the comfort of tourists. The development of technology requires basic science and application studies that allow us to know the scientific evolution and trends in research, which is of great relevance in the fields of tourism and renewable energy. Within this context, the aim of the article is to analyze the evolution of research publications focused on renewable energy and tourism indexed in Scopus from 2008 to 2023 using a bibliometric approach. The search strategy identified 90 documents. Tools such as VOSviewer (version: 1.6.18) and Power BI (version: 13.0.23776.64) were used to assist in conducting the bibliometric analysis and network. The results of this work indicate that there is a growth in the authors’ interest in renewable energy and tourism, with a specific growth rate of 0.1927 years−1. “Environmental Science and Pollution Research” is the journal with the most publications, and China ranks first in publications. Authors prefer to publish in Q1 and Q2 journals to increase the reach of their publications.
The Impact of Organizational Culture on Employee Performance: A Case Study at Foreign-Invested Logistics Service Enterprises Approaching Sustainability Development
Authors: Pham Van Kiem , Vu Thi Nhu Quynh , Phan Thanh Tu , Nguyen Ngoc Anh
Published: July 2024

The study aims to assess the impact of organizational culture on employee performance in foreign-invested logistics service enterprises from the sustainability perspective. We developed a theoretical framework on organizational culture and explored the factors shaping organizational culture, from which three research hypotheses are proposed. Based on a research sample of 162 foreign-invested logistics service enterprises, the multiple linear regression results indicate that 5 factors of organizational culture positively impact employee performance, including employees’ beliefs, corporate focus of human life, leadership style and authority division, corporate values, relationship with business environment. Based on these findings, we proposed recommendations for improving employee performance in foreign-invested logistics service enterprises from a sustainability perspective.
Sustainable Inclusive Framework Studio for Inclusive Education—Perceptions of Teachers, Parents, and Students in United Arab Emirates
Authors: Dev Smitha , George Mary , Rafique Sidra , Vaddapalli Maruthi , Nair Sreethi , Al Hameli Asmaa
Published: July 2024

Inclusive education has gained recognition worldwide, with schools and universities adopting various approaches to prioritize inclusivity. However, the challenges faced by educational institutions in this process cannot be ignored. Addressing these challenges is essential in creating a more inclusive society that values and celebrates diversity. This study aims to introduce a model called the Sustainable Inclusive Framework Studio (SIF Studio), which incorporates inclusiveness principles. This model draws from Lev Vygotsky’s social constructivism and Albert Bandura’s behavior modeling theories. SIF Studio is a framework that emphasizes inclusivity, sustainability, and innovation in education. A quantitative approach is employed to explore the perceptions of teachers, parents, and students regarding the implementation of SIF Studio. The study results revealed that there is a significant difference in the perceptions of students, teachers, and parents before and after the introduction of SIF Studio. By designing and developing SIF Studio specifically for educational institutions, this research aims to bridge the gap between inclusivity goals and practical implementation while aiming for the sustainability goals alongside this.
Mortality of Boreal Trees
Authors: Kärenlampi Petri P.
Published: July 2024

A dataset collected from central South Finland was used to investigate the mortality of boreal trees. The mortality rate was found to be the order of three times that predicted by earlier Nordic mortality models, being in the upper range of international literature observations. Small subpopulations of any tree species tend to die out. The mortality of downy birch increases with stand basal area, as well as with stand age. The mortality of Norway spruce and silver birch increases after 100 years, while that of Scots pine is invariant to age. It is suspected that the high mortality of conifers is due to climatic phenomena of anthropogenic origin. As the relative loss rate of basal area is insensitive to stand basal area, the mortality of trees does not strongly regulate thinning practices, but stand-replacing damage can be avoided by retaining a larger timber stock, along with an enhanced proportion of deciduous trees.
A Systematic Review of Architecture Stimulating Attention through the Six Senses of Humans
Authors: Thampanichwat Chaniporn , Meksrisawat Pratsanee , Jinjantarawong Narongrit , Sinnugool Somchok , Phaibulputhipong Prima , Chunhajinda Pornteera , Bhutdhakomut Bhumin
Published: July 2024

The climate change crisis is negatively impacting the mental health of people worldwide. Attention is a pivotal pathway to healing ourselves and the world, as it is a sensory process that enhances mental health and promotes sustainable behavior. Despite architecture’s potential to captivate all six human senses immediately, there is still a significant gap in research. Thus, this study aimed to identify architectural features that stimulate attention through the six human senses: visual, touch, auditory, olfaction, taste, and emotion. This review article was conducted by searching data from Scopus in February 2024, identifying 4844 related publications. After data screening following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, 32 relevant and accessible research works were identified. Finally, data were extracted from the selected articles and analyzed using thematic analysis to explore their relevance to all six senses. The results reveal that the architectural features predominantly eliciting attention are mainly related to visual sensory stimuli. Closely following are the architectural features perceived through the emotional sense. The architecture that promotes attention is minimally associated with touch, auditory, and olfaction senses. Lastly, no architectural features were found to influence attention perceived through the sense of taste. Nevertheless, this study merely synthesizes data from previous research studies. Future research endeavors should validate this study’s findings for broader implications empirically.
Morphological Patterns and Drivers of Urban Growth on Africa’s Wetland Landscapes: Insights from the Densu Delta Ramsar Site, Ghana
Authors: Oduro Charles Yaw , Anokye Prince Aboagye , Nanor Michael Ayertey
Published: July 2024

The morphological aspects of urban growth on wetlands in Africa are under-researched. Using the Densu Delta Ramsar site in Accra, Ghana, as a case study, this paper analyses the morphological patterns and drivers of urban growth and its impact on wetlands. Data were obtained through remote-sensing, ground truthing, and limited key informant interviews. The analysis combined land use/land cover, building coverage and spatial autoregressive and ordinary least square regression techniques with the aid of ArcGIS version 10.8.2, QGIS version 3.34 and STATA version 17 software. The findings reveal that urban growth at the Ramsar site follows discernible spatial patterns consistent with the spreading pancake, village magnet, and ribbon development models. However, the primary force behind these patterns is growing demand for land to meet housing needs, aided by the failure of state institutions to perform their land use control and wetland protection functions. To achieve sustainable urban development, there is an urgent need to ensure effective wetland management by enforcing existing land use, development control, and wetland protection measures. This calls for the strengthening, resourcing, and closer collaboration of the relationships between the various state agencies responsible for urban planning and wetland management. There is also the need to engage and sensitise political leaders to increase their commitment to implementing wetland protection and pro-environmental policies.
Evaluation of Urban Traditional Temples Using Cultural Tourism Potential
Authors: Kim Sio , Lee Jaeseong , Kim Youngsuk
Published: July 2024

This study examines the potential of religious facilities to enhance urban tourism by evaluating urban traditional temples as cultural tourism resources and identifying key tourism indicators. An evaluation framework was developed, encompassing five attributes—historicity, accessibility, inter-connectivity, convenience, and publicity—each with three sub-factors. The research question focuses on what factors distinguish successful urban traditional temples like Bongeunsa and Jogyesa from others. Seven traditional temples in Seoul were selected for comparison. Bongeunsa and Jogyesa, functioning as major tourist attractions, were compared with five other temples with potential but fewer visitors. The findings indicate that Bongeunsa and Jogyesa scored higher for all of the attraction attributes and the majority of the sub-factors. Differences in the correlation between each factor and visitor numbers were also observed. The research methodology included literature reviews, deriving cultural tourism attributes, and evaluating selected temples. This approach highlights underdeveloped factors in other urban temples and suggests strategies for enhancement, providing valuable insights for urban tourism policy and development.
A Symmetric Efficient Spatial and Channel Attention (ESCA) Module Based on Convolutional Neural Networks
Authors: Liu Huaiyu , Zhang Yueyuan , Chen Yiyang
Published: July 2024

In recent years, attention mechanisms have shown great potential in various computer vision tasks. However, most existing methods focus on developing more complex attention modules for better performance, which inevitably increases the complexity of the model. To overcome performance and complexity tradeoffs, this paper proposes efficient spatial and channel attention (ESCA), a symmetric, comprehensive, and efficient attention module. By analyzing squeeze-and-excitation (SE), convolutional block attention module (CBAM), coordinate attention (CA), and efficient channel attention (ECA) modules, we abandon the dimension-reduction operation of SE module, verify the negative impact of global max pooling (GMP) on the model, and apply a local cross-channel interaction strategy without dimension reduction to learn attention. We not only care about the channel features of the image, we also care about the spatial location of the target on the image, and we take into account the effectiveness of channel attention, so we designed the symmetric ESCA module. The ESCA module is effective, as demonstrated by its application in the ResNet-50 classification benchmark. With 26.26 M parameters and 8.545 G FLOPs, it introduces a mere 0.14% increment in FLOPs while achieving over 6.33% improvement in Top-1 accuracy and exceeding 3.25% gain in Top-5 accuracy. We perform image classification and object detection tasks on ResNet, MobileNet, YOLO, and other architectures on popular datasets such as Mini ImageNet, CIFAR-10, and VOC 2007. Experiments show that ESCA can achieve great improvement in model accuracy at a very small cost, and it performs well among similar models.
A Novel Risk Assessment Approach for Open-Cast Coal Mines Using Hybrid MCDM Models with Interval Type-2 Fuzzy Sets: A Case Study in Türkiye
Authors: Mutlu Mert , Cetin Nazli Ceren , Onder Seyhan
Published: July 2024

Mining is a high-risk industry where occupational accidents are common due to its complex nature. Therefore, providing a more holistic and dynamic risk assessment framework is essential to identify and minimize the potential risks and enhance safety measures. Unfortunately, traditional risk assessment methods have limitations and shortcomings, such as uncertainty, differences in experience backgrounds, and insufficiency to articulate the opinions of experts. In this paper, a novel risk assessment method precisely for such cases in the mining sector is proposed, applied, and compared with traditional methods. The objective of this study is to determine the risk scores of Turkish Coal Enterprises, based on non-fatal occupational accidents, which operates eight large-scale open-cast coal mine enterprises in Türkiye. The causes of the accidents were categorized into 25 sub-criteria under 6 main criteria. The risk scores for these criteria were computed using the Pythagorean fuzzy Analytical Hierarchy Process (PFAHP) method. The first shift (8–16 h) (0.6341) for the shift category is ranked highest out of the 25 sub-risk factors, followed by maintenance personnel (0.5633) for the occupation category; the open-cast mining area (0.5524) for the area category, the 45–57 age range (0.5279) for employee age category, and the mining machine (0.4247) for the reason category, respectively. The methodologies proposed in this study not only identify the most important risk factors in enterprises, but also provide a mechanism for risk-based rankings of enterprises by their calculated risk scores. The enterprises were risk-based ranked with the fuzzy Technique for Order Preference by Similarity to Ideal Solution (FTOPSIS) method and Paksoy approach based on interval type-2 fuzzy sets (IT2FSs). The findings indicate that the first three risk score rankings of enterprises are the same for both approaches. To examine the consistency of the applied methods, sensitivity analyses were performed. The results of the study also indicate that the proposed approaches are recommended for effective use in the mining sector due to their ease of application compared to other methods and their dynamic nature in the risk assessment process.
Laparoscopic versus Robot-Assisted Partial Nephrectomy for Renal Tumors with Cystic Features: Comparison of Perioperative Outcomes and Trifecta Achievement
Authors: Prata Francesco , Iannuzzi Andrea , Ricci Marco , Liaci Francesca , Tedesco Francesco , Ragusa Alberto , Civitella Angelo , Pira Matteo , Fantozzi Marco , Sica Leonilde , Scarpa Roberto Mario , Papalia Rocco
Published: July 2024

Background: To compare perioperative outcomes and trifecta rates between laparoscopic and robotic partial nephrectomies (PN) using the Hugo™ RAS System, a study was conducted between October 2022 and September 2023. Methods: Twenty-two patients underwent minimally invasive PN for cystic renal tumors at our institution (group A: RAPN = 6; group B: Laparoscopic PN = 16). The trifecta was defined as the coexistence of negative surgical margin status, no Clavien–Dindo grade ≥ 3 complications, and eGFR decline ≤ 30%. Continuous variables were presented as median and IQR and compared using the Mann–Whitney U test, while categorical variables were presented as frequencies (%) and compared using the χ2 test. For all statistical analysis, a two-sided p-value < 0.05 was considered statistically significant. Results: All patients successfully underwent off-clamp minimally invasive PN without the need for conversion or additional port placement. Group A showed a lower preoperative eGFR rate and a higher clinical tumor size, while group B displayed a higher number of male patients and bilateral lesions. However, these differences were not statistically significant (all p > 0.1). Regarding perioperative data, group A showed a lower operative time (79.5 vs. 134.5 min, p = 0.01), while group B showed a higher trend of benign histology (62.5% vs. 33.3%). All the other perioperative data were comparable between the two groups (all p > 0.2). The rate of trifecta achievement was 83.3% and 87.5% (p = 0.80) for group A and B, respectively. Conclusion: This study emphasizes the advantages of RAPN over laparoscopic procedures in terms of operative time. Extensive experience in Laparoscopic PN could be a key factor when approaching RAPN learning curve.
Immune Responses Induced by a Recombinant Lactiplantibacillus plantarum Surface-Displaying the gD Protein of Pseudorabies Virus
Authors: Moon Assad , Huang Jingshan , Song Xin , Wang Tao , Wang Yanjin , Li Yongfeng , Sun Yuan , Wu Hongxia , Qiu Huaji
Published: July 2024

Pseudorabies virus (PRV) is one of the herpes viruses that can infect a wide range of animals including pigs, cattle, sheep, mice, and wild animals. PRV is a neurotropic alphaherpesvirus capable of infecting a variety of mammals. There is a rising interest in the targeted application of probiotic bacteria to prevent viral diseases, including PRV. In this study, the surface expression of enhanced green fluorescent protein (EGFP) on recombinant Lactiplantibacillus plantarum NC8 (rNC8) through the LP3065 LPxTG motif of Lactobacillus plantarum WCFS1 was generated. The surface expression was observed through confocal microscopy. Dendritic cell targeting peptides (DCpep) were also fused with LPxTG that help to bind with mouse DCs. The PRV-gD was cloned in LP3065 LPxTG, resulting in the generation of rNC8-LP3065-gD. Inactivated rNC8-LP3065-gD was administered intravenously in mice on days 1 and 7 at a dose of 200 µL (109 CFU/mouse) for monitoring immunogenicity. Subsequently, a challenge dose of PRV TJ (104 TCID50) was administered intramuscularly at 14 days post-immunization. The survival rate of the immunized mice reached 80% (4/5) with no significant signs of illness. A significant rise in anti-gD antibodies was detected in the immunized mice by ELISA. Quantitative PCR (qPCR) results showed decreased viral loading in different body tissues. Flow cytometry of lymphocytes derived from mice spleen indicated an increase in CD3+CD4+ T cells, but CD3+CD8+ T cells were not detected. Moreover, it offers a model to delineate immune correlates with rNC8-induced immunity against swine viral diseases.
Semi-Covariance Coefficient Analysis of Spike Proteins from SARS-CoV-2 and Its Variants Omicron, BA.5, EG.5, and JN.1 for Viral Infectivity, Virulence and Immune Escape
Authors: Zhu Botao , Lin Huancheng , Huang Jun Steed , Zhang Wandong
Published: July 2024

Semi-covariance has attracted significant attention in recent years and is increasingly employed to elucidate statistical phenomena exhibiting fluctuations, such as the similarity or difference in charge patterns of spike proteins among coronaviruses. In this study, by examining values above and below the average/mean based on the positive and negative charge patterns of amino acid residues in the spike proteins of SARS-CoV-2 and its current circulating variants, the proposed methods offer profound insights into the nonlinear evolving trends in those viral spike proteins. Our study indicates that the charge span value can predict the infectivity of the virus and the charge density can estimate the virulence of the virus, and both predicated infectivity and virulence appear to be associated with the capability of viral immune escape. This semi-covariance coefficient analysis may be used not only to predict the infectivity, virulence and capability of immune escape for coronaviruses but also to analyze the functionality of other viral proteins. This study improves our understanding of the trend of viral evolution in terms of viral infectivity, virulence or the capability of immune escape, which remains further validated by more future studies and statistical data.
Generation of Recombinant Authentic Live Attenuated Human Rotavirus Vaccine Strain RIX4414 (Rotarix®) from Cloned cDNAs Using Reverse Genetics
Authors: Fukuda Saori , Kugita Masanori , Kumamoto Kanako , Akari Yuki , Higashimoto Yuki , Nagao Shizuko , Murata Takayuki , Yoshikawa Tetsushi , Taniguchi Koki , Komoto Satoshi
Published: July 2024

The live attenuated human rotavirus vaccine strain RIX4414 (Rotarix®) is used worldwide to prevent severe rotavirus-induced diarrhea in infants. This strain was attenuated through the cell culture passaging of its predecessor, human strain 89-12, which resulted in multiple genomic mutations. However, the specific molecular reasons underlying its attenuation have remained elusive, primarily due to the absence of a suitable reverse genetics system enabling precise genetic manipulations. Therefore, we first completed the sequencing of its genome and then developed a reverse genetics system for the authentic RIX4414 virus. Our experimental results demonstrate that the rescued recombinant RIX4414 virus exhibits biological characteristics similar to those of the parental RIX4414 virus, both in vitro and in vivo. This novel reverse genetics system provides a powerful tool for investigating the molecular basis of RIX4414 attenuation and may facilitate the rational design of safer and more effective human rotavirus vaccines.
Antiviral Properties of Moringa oleifera Leaf Extracts against Respiratory Viruses
Authors: Giugliano Rosa , Ferraro Valeria , Chianese Annalisa , Della Marca Roberta , Zannella Carla , Galdiero Francesca , Fasciana Teresa M. A. , Giammanco Anna , Salerno Antonio , Cannillo Joseph , Rotondo Natalie Paola , Lentini Giovanni , Cavalluzzi Maria Maddalena , De Filippis Anna , Galdiero Massimiliano
Published: July 2024

Moringa oleifera (M. oleifera) is a plant widely used for its beneficial properties both in medical and non-medical fields. Because they produce bioactive metabolites, plants are a major resource for drug discovery. In this study, two different cultivars of leaves of M. oleifera (Salento and Barletta) were obtained by maceration or microwave-assisted extraction (MAE). We demonstrated that extracts obtained by MAE exhibited a lower cytotoxic profile compared to those obtained by maceration at concentrations ranged from 25 to 400 µg/mL, on both Vero CCL-81 and Vero/SLAM cells. We examined their antiviral properties against two viruses, i.e., the human coronavirus 229E (HCoV-229E) and measles virus (MeV), which are both responsible for respiratory infections. The extracts were able to inhibit the infection of both viruses and strongly prevented their attack and entry into the cells in a range of concentrations from 50 to 12 µg/mL. Particularly active was the variety of Salento that registered a 50% inhibitory concentration (IC50) at 21 µg/mL for HCoV-229E and at 6 µg/mL for MeV. We identified the presence of several compounds through high performance liquid chromatography (HPLC); in particular, chlorogenic and neochlorogenic acids, quercetin 3-O-β-d-glucopyranoside (QGP), and glucomoringin (GM) were mainly observed. In the end, M. oleifera can be considered a promising candidate for combating viral infections with a very strong action in the early stages of viral life cycle, probably by destructuring the viral particles blocking the virus–cell fusion.
Safety and Immunogenicity of the Nonavalent Human Papillomavirus Vaccine in Women Living with HIV
Authors: Hidalgo-Tenorio Carmen , Moya Raquel , Omar Mohamed , Muñoz Leopoldo , SamPedro Antonio , López-Hidalgo Javier , Garcia-Vallecillos Coral , Gómez-Ronquillo Patricia
Published: July 2024

Background: The objectives were to evaluate the safety and immunogenicity of the nonavalent human papillomavirus (nHPV) vaccine in adult Spanish women living with HIV (WLHIV); the prevalence of anal and cervical dysplasia and nHPV vaccine genotypes in the anus and cervix; and risk factors for high-risk HPV (HR-HPV) infection in anal mucosa. Methods: In this single-center, open-arm, non-randomized clinical trial, the nHPV vaccine was administered at 0, 2, and 6 months to WLHIV enrolled between February 2020 and November 2023, measuring vaccine antibody titers pre-vaccination and at 2, 6, and 7 months after the first dose. Cervical and anal cytology and HPV PCR genotyping studies were performed. Women with abnormal cytology and/or anal or cervical HPV infection at baseline underwent high-resolution anoscopy and/or colposcopy. Results: A total of 122 participants were included with mean age of 49.6 years: 52.5% smoked; 10.7% had anal-genital condylomatosis; 38.5% were infected by HR-HPV in the anus and 25.4% in the cervix, most frequently HPV 16; 19.1% had anal intraepithelial neoplasia 1-(AIN1); and 3.1% had cervical intraepithelial neoplasia 1 and 2 (CIN1/CIN2). Vaccine administration did not modify viral–immunological status (CD4 [809 ± 226.8 cells/uL vs. 792.35 ± 349.95; p = 0.357]) or plasma HIV load (3.38 ± 4.41 vs. 1.62 ± 2.55 cop/uL [log]; p = 0.125). Anti-HPV antibodies ([IQR: 0–0] vs. 7.63 nm [IQR: 3.46–19.7]; p = 0.0001) and seroconversion rate (8.2% vs. 96.7% [p = 0.0001]) were increased at 7 versus 0 months. There were no severe vaccine-related adverse reactions; injection-site pain was reported by around half of the participants. HR-HPV infection in the anus was solely associated with a concomitant cervix infection (HR 5.027; 95% CI: 1.009–25.042). Conclusions: nHPV vaccine in adult WLHIV is immunogenic and safe.