Search Results (29,068)

This study compared classifiers that differentiate between urbanized and non-urbanized areas based on unmanned aerial vehicle (UAV)-acquired RGB imagery. The tested solutions included numerous vegetation indices (VIs) thresholding and neural networks (NNs). The analysis was conducted for two study areas for which surveys were carried out using different UAVs and cameras. The ground sampling distances for the study areas were 10 mm and 15 mm, respectively. Reference classification was performed manually, obtaining approximately 24 million classified pixels for the first area and approximately 3.8 million for the second. This research study included an analysis of the impact of the season on the threshold values for the tested VIs and the impact of image patch size provided as inputs for the NNs on classification accuracy. The results of the conducted research study indicate a higher classification accuracy using NNs (about 96%) compared with the best of the tested VIs, i.e., Excess Blue (about 87%). Due to the highly imbalanced nature of the used datasets (non-urbanized areas constitute approximately 87% of the total datasets), the Matthews correlation coefficient was also used to assess the correctness of the classification. The analysis based on statistical measures was supplemented with a qualitative assessment of the classification results, which allowed the identification of the most important sources of differences in classification between VIs thresholding and NNs. Full article

Architecture is the stone book of history, and the evolution of architectural styles showcases a non-verbal history constructed through images. As an important part of China’s historical and cultural heritage, the architectural forms and styles of Tibetan Buddhist temples were initially modeled on Tang dynasty temple architecture and gradually evolved into the most significant architectural types in regions such as Tibet and Qinghai in China. Religious architecture has also played a significant role in shaping regional cultural landscapes. Existing research on Tibetan Buddhist temples is primarily focused on qualitative studies of individual temple buildings. This research takes the spatiotemporal evolution of architectural styles of Tibetan Buddhist temples as an entry point and, for the first time, employs ArcGIS technology to visualize the spatial and geographical distribution of Tibetan Buddhist temples from the 7th to the 18th century, establishing a comprehensive academic vision that encompasses both historical stratification and cross-regional spatial correlations. By analyzing the cultural symbolic features embodied in the construction styles of Tibetan Buddhist temples and the visual characteristics reflected in their decorative arts, we propose two spatiotemporal dimensions for the formation and transmission of Tibetan Buddhist temple architectural styles: “Westward Transmission” and “Eastward Diffusion”. Firstly, from the 7th to the 9th centuries, the architectural style and construction techniques of Tang dynasty Buddhist temples were transmitted westward along the Tang–Tibet ancient road, integrating with local Tibetan elements to form the Tubo architectural style, which was further refined into the “Sino–Tibetan Combined Style” with strong visual characteristics around the 13th century. Subsequently, along with the spread of Tibetan Buddhism, this temple architectural style underwent an eastward diffusion from the 13th to the 18th century, reaching regions, such as Sichuan, Qinghai, Gansu, Inner Mongolia, Hebei, and Beijing, presenting a spatial gradient from west to east in the geographical dimension. On this basis, in this research, we construct a historical evolution mapping of Tibetan Buddhist temple architectural styles based on bidirectional transmission, attempting to elucidate that the intrinsic driving forces are religious and the cultural identity that guided the bidirectional transmission mechanism of these architectural styles under the historical context of the formation and dissemination of Tibetan Buddhism from the 7th to the 18th century. Full article

Rising health concerns regarding chronic diseases call for exploring natural sources of antioxidants and factors that influence their activity. This study evaluated the diversity of 112 sesame germplasms from Africa and Asia based on ten agronomic traits (seven quantitative and three qualitative), two antioxidant activities (ABTS and DPPH radical scavenging activities), and the content of one metabolite (TPC). TPC, DPPH, and ABTS were in the ranges of 4.98–87.88 µg GAE/mg DE, 3.97–46.23 µg AAE/mg DE, and 3.42–176.01 µg TE/mg DE, respectively. Statistical analyses revealed significant variations in agronomic traits, TPC, and antioxidant activities among the sesame germplasms (p < 0.05). Furthermore, the individual and interaction effects of seed color and the continent of origin on the levels of the quantitative traits, TPC, ABTS, and DPPH were analyzed, and the correlation among the traits was further evaluated. Diversity in TPC, ABTS, and DPPH was significantly associated with seed color and most of the quantitative agronomic traits (p < 0.05) but not with continent of origin. Principal component analysis revealed TPC, ABTS, DPPH, and five quantitative traits as the most discriminant traits. In general, six sesame accessions with high TPC and antioxidant activities (IT194356, IT170094, IT29971, IT185998, IT104246, and IT169623) as well as important agronomic traits were identified and, hence, could be used for developing improved sesame varieties. Full article

Numerous studies support that the development of digital teaching competence is essential in 21st century schools. This paper examines Technological Pedagogical Content Knowledge (TPACK) to gain a deeper understanding of ICT integration in teaching. By assessing TPACK, we uncover opportunities to enhance teacher competencies and, consequently, improve student learning. This research evaluated the initial TPACK of primary school teachers from a public school in the Colombian Caribbean. Eight teachers participated in a professional development program based on the Lesson Study (LS) methodology. Adopting an interpretive qualitative approach and a case study for the operational analysis of LS, the findings indicate that teachers, in self-reports and performance-based assessments, highlight high competence in the PK, CK, and PCK domains. This demonstrates their ability to select and adapt effective teaching strategies. They excel in guiding learning and understanding academic content, showcasing a remarkable capacity to adapt to the diverse socioeconomic realities of their students. However, these findings also highlight areas for improvement in developing the technological components of TPACK, specifically TK, TPK, TCK, TPCK, and XK. Full article

Remote-sensing technology has gradually become one of the most important ways to extract sea–land boundaries due to its large scale, high efficiency, and low cost. However, sea–land segmentation (SLS) is still a challenging problem because of data diversity and inconsistency, “different objects with the same spectrum” or “the same object with different spectra”, and noise and interference problems, etc. In this paper, a new sea–land segmentation method (PMFormer) for remote-sensing images is proposed. The contributions are mainly two points. First, based on Mask2Former architecture, we introduce the prompt mask by normalized difference water index (NDWI) of the target image and prompt encoder architecture. The prompt mask provides more reasonable constraints for attention so that the segmentation errors are alleviated in small region boundaries and small branches, which are caused by insufficiency of prior information by large data diversity or inconsistency. Second, for the large intra-class difference problem in the foreground–background segmentation in sea–land scenes, we use deep clustering to simplify the query vectors and make them more suitable for binary segmentation. Then, traditional NDWI and eight other deep-learning methods are thoroughly compared with the proposed PMFormer on three open sea–land datasets. The efficiency of the proposed method is confirmed, after the quantitative analysis, qualitative analysis, time consumption, error distribution, etc. are presented by detailed contrast experiments. Full article

Rapid population growth, urbanization, and diverse production materials have led to a surge in municipal solid waste (MSW), harming the environment, climate, and sanitation. Despite China’s efforts to implement MSW segregation policies, results have been unsatisfactory. Research often emphasizes public participation, with less focus on the entire policy implementation process. This paper employed Smith’s theoretical model to comprehensively analyze the challenges of implementing a MSW segregation policy, using qualitative methods and secondary data from literature and policy documents. The findings revealed challenges at four levels: policy formulation, implementing agencies, target groups, and the external environment. Issues include policy ambiguity, unclear authority, government-enterprise cross-functionality, casual attitudes, implementer shortages, poor public participation, and economic disparities. To address these, the study recommends enhancing public engagement, clarifying responsibilities among agencies, and increasing financial support for disadvantaged areas to improve policy implementation. Full article

Names and naming practices convey various nuances of meaning in the Bette sociocultural setting. Against this significant backdrop, this study examines proverbial names as figurative and overt communicative strategies among the Bette people of northern Cross River State in south-eastern Nigeria. The qualitative data were elicited through semi-structured interviews and informal interactions from purposively selected twenty name-givers and ten name-bearers of Bette proverbial names. Data were analysed using the ethnopragmatic theory, an approach to language study that sees culture as playing a central explanatory role in meaning-making. Besides functioning as discursive strategies through which people’s worldview is embedded, proverbial names serve as sociocultural sites through which interpersonal relationships are performatively constructed and maintained. This study enriches our understanding of how the Bette people use proverbial names as tools of social control to perform gender, strengthen communal bonds, enhance peaceful coexistence, and enact Indigenous worldview among themselves. Full article

Current single-view image inpainting methods often suffer from low image information utilization and suboptimal repair outcomes. To address these challenges, this paper introduces a novel image inpainting framework that leverages a structure-guided multi-scale attention pyramid network. This network consists of a structural repair network and a multi-scale attention pyramid semantic repair network. The structural repair component utilizes a dual-branch U-Net network for robust structure prediction under strong constraints. The predicted structural view then serves as auxiliary information for the semantic repair network. This latter network exploits the pyramid structure to extract multi-scale features of the image, which are further refined through an attention feature fusion module. Additionally, a separable gated convolution strategy is employed during feature extraction to minimize the impact of invalid information from missing areas, thereby enhancing the restoration quality. Experiments conducted on standard datasets such as Paris Street View and CelebA demonstrate the superiority of our approach over existing methods through quantitative and qualitative comparisons. Further ablation studies, by incrementally integrating proposed mechanisms into a baseline model, substantiate the effectiveness of our multi-view restoration strategy, separable gated convolution, and multi-scale attention feature fusion. Full article

This paper focuses on studying the concept of walkability in Riyadh, Saudi Arabia, after the implementation of the Humanizing Neighborhoods Initiative. Al-Falah neighborhood was selected as a case study because it was one of the first neighborhoods to implement walkability strategies. By adopting a qualitative critical approach, this research collected data through a literature review and on-site observation to assess walkability in the neighborhood. Analysis of the observations highlighted the challenges and opportunities of walkability in Riyadh and the wider Gulf cities. Recommendations for promoting walkable communities in Riyadh include enhancing pedestrian infrastructure, incorporating mixed-use developments, integrating green infrastructure, implementing smart urban planning principles, and integrating public transportation systems. This paper emphasizes the importance of community engagement, preserving local identity, and involving various stakeholders to transform Riyadh into a pedestrian-friendly city that prioritizes public health and sustainability. Full article

Correct design of the sheet metal forming process requires knowledge of the friction phenomenon occurring in various areas of the drawpiece. Additionally, the friction at the drawbead is decisive to ensure that the sheet flows in the desired direction. This article presents the results of experimental tests enabling the determination of the coefficient of friction at the drawbead and using a specially designed tribometer. The test material was a DC04 carbon steel sheet. The tests were carried out for different orientations of the samples in relation to the sheet rolling direction, different drawbead heights, different lubrication conditions and different average roughnesses of the countersamples. According to the aim of this work, the Features Importance analysis, conducted using the Gradient-Boosted Regression Trees algorithm, was used to find the influence of several parameter features on the coefficient of friction. The advantage of gradient-boosted decision trees is their ability to analyze complex relationships in the data and protect against overfitting. Another advantage is that there is no need for prior data processing. According to the best of the authors’ knowledge, the effectiveness of gradient-boosted decision trees in analyzing the friction occurring in the drawbead in sheet metal forming has not been previously studied. To improve the accuracy of the model, five MinLeafs were applied to the regression tree, together with 500 ensembles utilized for learning the previously learned nodes, noting that the MinLeaf indicates the minimum number of leaf node observations. The least-squares-boosting technique, often known as LSBoost, is used to train a group of regression trees. Features Importance analysis has shown that the friction conditions (dry friction of lubricated conditions) had the most significant influence on the coefficient of friction, at 56.98%, followed by the drawbead height, at 23.41%, and the sample width, at 11.95%. The average surface roughness of rollers and sample orientation have the smallest impact on the value of the coefficient of friction at 6.09% and 1.57%, respectively. The dispersion and deviation observed for the testing dataset from the experimental data indicate the model’s ability to predict the values of the coefficient of friction at a coefficient of determination of R² = 0.972 and a mean-squared error of MSE = 0.000048. It was qualitatively found that in order to ensure the optimal (the lowest) coefficient of friction, it is necessary to control the friction conditions (use of lubricant) and the drawbead height. Full article

Digitalization represents a pivotal global development trend and serves as a significant force propelling economic and social transformation. This manuscript uses the global Malmquist–Luenberger (GML) model to estimate green total factor productivity (GTFP) across 284 Chinese cities from 2003 to 2018, taking the pilot policy of “construction and application of e-government public platforms based on cloud computing” as an example to assess the impact of government digital transformation on the qualitative development of the economy by using a difference-in-differences model to explore the path of its role and driving mechanism. The results reveal that government digital transformation promotes the qualitative improvement of the city’s economic development, and its driving effect shows a marginal incremental law. Moreover, government digital transformation can contribute to the formation of a “latecomer advantage” in the lagging regions, which creates a “catch-up effect” on the regions with favorable development foundations, excellent geographical conditions, high urban ranking, and high education quality. Additionally, government digital transformation boosts economic and social development quality through both innovation spillover and structural optimization. Full article

A nanoliter liquid chromatography–high resolution mass spectrometry-based method was developed for quantitative proteomics analysis of COVID-19 vaccines. It can be used for simultaneous qualitative and quantitative analysis of target proteins and host cell proteins (HCPs) in vaccine samples. This approach can directly provide protein information at the molecular level. Based on this, the proteomes of 15 batches of COVID-19 inactivated vaccine samples from two companies and 12 batches of COVID-19 recombinant protein vaccine samples from one company were successfully analyzed, which provided a significant amount of valuable information. Samples produced in different batches or by different companies can be systematically contrasted in this way, offering powerful supplements for existing quality standards. This strategy paves the way for profiling proteomics in complex samples and provides a novel perspective on the quality evaluation of bio-macromolecular drugs. Full article

Men of African ancestry suffer disproportionately from prostate cancer (PCa) compared to other racial groups in South Africa. Equally concerning is that black South African men generally present later and with higher stages and grades of the disease than their non-black counterparts. Despite this, a small percentage of black South African men participate in screening practices for PCa. This study sought to explore knowledge and beliefs of black South African PCa survivors, and the potential impact of this on the limited screening uptake within this population group. A hermeneutic phenomenological study design was undertaken. The sample comprised 20 black South African PCa survivors, between the ages of 67 and 85 years (mean_age = 76 yrs; SD = 5.3), receiving some form of treatment at a tertiary Academic Hospital, Limpopo Province, South Africa. The sample was selected through a purposive sampling method. Data for the study were collected through in-depth, semi-structured individual interviews and analyzed through interpretative phenomenological analysis (IPA). The findings demonstrated that black South African men had poor knowledge of PCa and that this may create an unfortunate system that precludes this population group from taking part in life-saving PCa screening services. The results highlight a need to elevate knowledge and awareness of PCa among black South African men and ultimately enhance screening practices. Full article

This study explores the motivations, choices, and constraints shaping tourism behavior among transgender individuals living in Italy. Employing a mixed-methods approach, the research begins with quantitative data collection and analyses, followed by qualitative insights to uncover the multifaceted reasons that drive transgender individuals to engage in tourism. These motivations range from seeking personal authenticity to cultural exploration and community connection. This study also examines the intricate interplay of choice and constraint in shaping transgender travelers’ tourism experiences, highlighting the challenges they face and the strategies they use to cope with the obstacles they face within the tourism context. Given Italy’s persistent stereotypes and prejudices against gender and sexual minorities, this research provides a critical examination of the intersectionality of gender identity and tourism within a challenging cultural and legal landscape. The findings contribute to a deeper understanding of transgender travelers’ tourism experiences and offer valuable implications for industry stakeholders, policymakers, and scholars. By amplifying the voices of Italian transgender travelers, this study aims to foster greater inclusivity and recognition of their diverse needs and experiences within the tourism sector. Full article

The Royal Hospital Chelsea has been home to veterans of the British Army since 1692. Opportunities to remain physically active throughout the life course of its residents include participation in numerous hobbies within the quasi-military environment, and in the civic engagement representational role of the Chelsea Pensioner. This study examines the influence the Royal Hospital Chelsea culture has on resident opportunities to remain active. A non-traditional mixed-methods convergent design was used across three participant groups. Staff and established residents engaged in semi-structured qualitative interviews, with established residents and a cohort of new residents completing Quality of Life questionnaires. The findings indicate established Chelsea Pensioners experienced a sense of pride and purpose, elevated social status, and increased life satisfaction as a result of engaging in multiple activities. New Chelsea Pensioners demonstrated a trend towards increased quality of life after six months’ residence at the Royal Hospital Chelsea. Further research is required to explore the transferability of similar interventions into other residential establishments. Full article