170 research outputs found

    Enhancing cultural heritage accessibility through space syntax: a case study of the archaeological site of the wooden water gate of southern Yue State

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    The accessibility of heritage sites is essential for sustaining cultural vitality in urban environments. This study investigates the Wooden Water Gate of the Southern Yue State in Guangzhou, China, with the goal of improving its spatial accessibility and integration within the historic district. Using an integrated framework combining Space Syntax analysis, field surveys, and urban design strategies, spatial metrics such as connectivity, integration, choice, and total depth were evaluated to diagnose accessibility challenges. The analysis revealed fragmented spatial structures, weak topological connections, and excessive spatial depth that hinder visitor movement and disrupt historical continuity. Based on these findings, targeted interventions were proposed, including enhancing pedestrian linkages, activating public spaces, and creating a cultural heritage experience loop. The results demonstrate that combining spatial analysis with urban design offers an effective approach to optimizing heritage accessibility. While grounded in a case, the insights contribute to broader applications for heritage revitalization globally

    Inverting multivariate analytic characteristic functions with financial applications

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    This dissertation is devoted to multivariate analytic characteristic functions inversion and applications in option pricing, option sensitivities estimation, and some electronic engineering problems. We will show that under certain analytic conditions for characteristic functions, the underlying pdfs and cdfs have exponential tails. The inversion from multivariate characteristic functions to the corresponding pdfs and cdfs can be approximated by the trapezoidal rule conveniently with great accuracy. Monte Carlo methods can be applied for option sensitivity analysis. Under multi-dimensional models, acceptance-rejection method is desirable. Simulating from a distribution without explicit pdf or CDF is then transformed to sampling from an easy-to-simulate distribution. Detailed algorithms are provided and comparisons against classical methods in terms of accuracy and efficiency are included.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2021-05-01The student, Runqi Hu, accepted the attached license on 2019-04-19 at 10:23.The student, Runqi Hu, submitted this Dissertation for approval on 2019-04-19 at 10:32.This Dissertation was approved for publication on 2019-04-19 at 14:25.DSpace SAF Submission Ingestion Package generated from Vireo submission #13740 on 2019-08-22 at 15:07:23Made available in DSpace on 2019-08-23T20:36:02Z (GMT). No. of bitstreams: 2 HU-DISSERTATION-2019.pdf: 1130914 bytes, checksum: 27289498f24e3d4dc439c5d51cea2ed4 (MD5) LICENSE.txt: 4205 bytes, checksum: 15761a9a88eae8f7c749d5a6a15b43e4 (MD5) Previous issue date: 2019-04-19Embargo set by: Seth Robbins for item 112175 Lift date: 2021-08-23T20:36:18Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I Only Restriction Lifted for Item 112175 on 2021-08-24T09:15:20Z

    Research trends on alphavirus receptors: a bibliometric analysis

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    BackgroundAlphaviruses are a diverse group of pathogens that have garnered considerable attention due to their impact on human health. By investigating alphavirus receptors, researchers can elucidate viral entry mechanisms and gain important clues for the prevention and treatment of viral diseases. This study presents an in-depth analysis of the research progress made in the field of alphavirus receptors through bibliometric analysis.MethodsThis study encompasses various aspects, including historical development, annual publication trends, author and cited-author analysis, institutional affiliations, global distribution of research contributions, reference analysis with strongest citation bursts, keyword analysis, and a detailed exploration of recent discoveries in alphavirus receptor research.ResultsThe results of this bibliometric analysis highlight key milestones in alphavirus receptor research, demonstrating the progression of knowledge in this field over time. Additionally, the analysis reveals current research hotspots and identifies emerging frontiers, which can guide future investigations and inspire novel therapeutic strategies.ConclusionThis study provides an overview of the state of the art in alphavirus receptor research, consolidating the existing knowledge and paving the way for further advancements. By shedding light on the significant developments and emerging areas of interest, this study serves as a valuable resource for researchers, clinicians, and policymakers engaged in combating alphavirus infections and improving public health

    Application of modern supply chain in 5G scenario

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    The continuous innovation and development of information technology and information infrastructure has driven the evolution of the supply form, and with the emergence of 5G, a mobile integrated communication system that includes communication access, interconnection, and connectivity of things, it has now evolved to a modern supply chain of the social organization collaborative type. This paper briefly describes the process of supply chain development, examines the role of communication technology in driving supply chain development, discusses the relationship between modern supply chain and social development and the support of 5G for modern supply chain, and illustrates the application of 5G in modern supply chain scenarios by reducing information time lag in market-side scenarios as an example

    Method for Acquiring Passenger Standing Positions on Subway Platforms Based on Binocular Vision

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    Obtaining the standing positions of passengers on the subway platform can provide data support for more accurate passenger flow guidance measures. This paper utilizes binocular vision technology to acquire a depth matrix of the platform scene and employs the YOLOX object detection algorithm to identify the positions of passengers’ heads within the depth matrix. The depth values of the center points of passengers’ heads are extracted, and then, through coordinate mapping, these depth values are converted into a platform coordinate system, allowing us to determine the positions of passengers on the platform and subsequently obtain the distribution data of passengers at the station. The distribution data of passengers can provide more accurate information for passenger flow guidance. Due to the lack of binocular image data for underground platform layers in existing public datasets, this study constructs an underground island platform model using Blender software and generates a dataset containing 200 test scenarios. Validation of the proposed model using this dataset shows that 91.9% of the predicted standing positions of passengers exhibit an error of less than 41.8 centimeters, with an average prediction error of 18.1 centimeters and an average computation time of 860 milliseconds. Furthermore, the model’s performance in real subway scenarios has been verified, demonstrating its effective performance in real-world environments

    Exploration on Effects of Tinted Glazing on Outdoor Views and Visual Experience Inside Hotel

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    Modern lifestyles result in people spending 90% of their time indoors, where windows serve as a unique component providing an outdoor view and enabling visual experiences. Chromogenic windows, which adjust both thermal and visual conditions, represent a promising fenestration system for achieving energy savings. However, the tinting properties and their effects on human responses to filtered window views have not been thoroughly explored. This study conducted an experimental test using a customised questionnaire to investigate eight distinct window conditions in a hotel building. Forty-five participants took part in this evaluation by observing photographs. The conclusions drawn are as follows: (1) All tinted windows were found to be less acceptable than clear windows; however, the bronze window was relatively preferred. (2) In terms of visual capacity, the red window had the most negative effect, followed by the blue window. (3) Considering the window views, the tinted windows significantly disturbed the view outside. These results have the potential to guide the development of chromogenic windows in practical applications in the future, particularly from the perspective of colour selection

    The Influence of Parenting Styles on Adolescents’ Anxiety and Depression ---the Mediating Role of Self-Efficacy

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    The relationship between parenting styles (PS) and anxiety and depressive symptoms is one of the key research topics today. Researchers have found progress in the cause of adolescents’ anxiety and depressive symptoms regarding parenting styles. However, there are still research gaps for factors related to PS. Therefore, this study investigates the effect of PS on adolescents’ anxiety and depressive symptoms and treats self-efficacy (SE) as the mediator by collecting data from several scales (SAS, SDS, s-EMBU-C and GSE) and conducting SPSS 21.0 analysis on the data. According to the results in this paper, the father’s emotional warmth parenting style (EWPS) could affect the level of anxiety, whereas that of the mother had an insignificant result. Besides, both parents’ EWS were negatively and indirectly correlated with depression in significance. Additionally, the rejection parenting style (RPS) and over-protection parenting style (OPPS) affected anxiety and depression significantly directly and positively (all p < 0.05). That result turned out to be insignificant in the indirect path. Generally, this research provides an appropriate suggestion to lower anxiety and depressive symptoms. The suggestion is to encourage parents to offer more emotional warmth to their children instead of being RPS and OPPS
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