Extreme meteorological events and rapid urbanization have led to serious urban flooding problems. Characterizing spatial variations in flooding susceptibility and elucidating its driving factors are essential for prev...
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Extreme meteorological events and rapid urbanization have led to serious urban flooding problems. Characterizing spatial variations in flooding susceptibility and elucidating its driving factors are essential for preventing damages from urban pluvial flooding. However, conventional methods, limited by spatial heterogeneity and the intricate mechanisms of urban flooding, frequently demonstrated a deficiency in precision when assessing flooding susceptibility in dense urban areas. Therefore, this study proposed a novel framework for an integrated assessment of urban flood susceptibility, based on a comprehensive cascade modeling chain consisting of XGBoost, SHapley Additive exPlanations (SHAP), and Partial Dependence Plots (PDP) in combination with Kmeans. It aimed to recognize the specific influence of urban morphology and the spatial patterns of flooding risk agglomeration under different rainfall scenarios in high-density urban areas. The XGBoost model demonstrated enhanced accuracy and robustness relative to other three benchmark models: RF, SVR, and BPDNN. This superiority was effectively validated during both training and independent testing in Shenzhen. The results indicated that urban 3D morphology characteristics were the dominant factors for waterlogging magnitude, which occupied 46.02 % of relative contribution. Through PDP analysis, multi-staged trends highlighted critical thresholds and interactions between significant indicators like building congestion degree (BCD) and floor area ratio (FAR). Specifically, optimal intervals like BCD between 0 and 0.075 coupled with FAR values between 0.5 and 1 have the potential to substantially mitigate flooding risks. These findings emphasize the need for strategic building configuration within urban planning frameworks. In terms of the spatial-temporal assessment, a significant aggregation effect of high-risk areas that prone to prolonged duration or high-intensity rainfall scenarios emerged in the old urban district
Identifying coral reef ecosystem benthic substances is extremely important for protecting coral reef ecosystems and monitoring their health status. Using remote sensing images and the object-based image analysis (OBIA...
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Identifying coral reef ecosystem benthic substances is extremely important for protecting coral reef ecosystems and monitoring their health status. Using remote sensing images and the object-based image analysis (OBIA) method could effectively improve the identification accuracy of coral reef ecosystem benthic substances. Among them, the core of the OBIA is the selection of optimal scale parameters. In this study, we used Sentinel-2 (S2) and Gaofen-2 (GF-2) images to identify the benthic substances of coral reef ecosystems in the coastal area of Sanya City, Hainan Province. The results show that: (1) the simple benthic substances of coral reef ecosystems could be identified through the analysis of spectral separability of the benthic substances from remote sensing images, and the optimal scale parameters were determined by combining the estimation of scale parameters model method and visual identification (74 for large-scale areas and 3 for small-scale coral reef ecosystems);(2) the S2 images combined with pixel-based maximum likelihood method and support vector machine (SVM) could identify three benthic types of coral reef, coral bleaching, and sand, whose overall accuracy (OA) was 83.89% and 88.89%, respectively;(3) the GF-2 images combined with object-based K-nearest neighbors and SVM could effectively identify six benthic types of coral reef, coral bleaching, algal ridge, algae, sand, and rock, whose OA was 85.39% and 89.39%, respectively;and (4) compared with the S2 images, the GF-2 images could identify finer types of benthic substances and provide data for the analysis of the benthic substances in coral reef ecosystems, and the results of GF-2 images combined with object-based SVM showed that coral reefs in Dongmaozhou Island had the best development;coral reefs in Luhuitou Peninsula and Yulin Bay suffered severe bleaching;coral reefs in Ximaozhou Island are ordinary under serious threat from other benthic organisms. In conclusion, remote sensing technology c
Cultivated land ecological compensation enables the rational allocation of ecological resources and promotes the integrated development of the cultivated land system. Evaluating the effectiveness of ecological compens...
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Cultivated land ecological compensation enables the rational allocation of ecological resources and promotes the integrated development of the cultivated land system. Evaluating the effectiveness of ecological compensation policies helps reveal the extent of benefits, while identifying influencing factors uncovers critical bottlenecks hindering policy implementation. However, current research primarily focuses on compensation amounts and mechanisms, with few studies on evaluating performance and influencing factors. To fill this gap, this paper introduces an indicator called cultivated land ecological compensation performance, which assesses the specific impacts of cultivated land ecological policies on the ecological, economic, and social systems. The spatiotemporal variations of this indicator across mainland China and its provinces were analyzed, showing an increasing trend on the temporal scale and higher values clustering in the eastern part on the spatial scale. To objectively identify the influencing factors, the XGBoost model, combined with SHAP and PDP methods, was used to explore how univariate and multivariate factors influence this indicator. Through a series of robustness tests, the results confirm the effectiveness of the XGBoost model in identifying the influencing factors. At both the national and regional levels, environmental protection expenditure, GDP, and total machinery power all have a positive impact, and the collaboration between central fiscal support and local economic development is particularly notable. The findings validate the effectiveness of policies aimed at ecological compensation and furnish an empirical foundation for policy optimization.
Two main types of vertical convective flows play an important role in transport along the fluid column: forced convective and free convective flows. Forced vertical convection in fluid-filled boreholes (short-circuit ...
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Two main types of vertical convective flows play an important role in transport along the fluid column: forced convective and free convective flows. Forced vertical convection in fluid-filled boreholes (short-circuit flow) can be detected by means of borehole measurements, e.g. different types of flowmeters, temperature logs, and fluid-logging. For detecting free vertical convection (natural convection), so far, no special logging device or interpretation algorithm was available. This paper presents a new synthetic borehole log, the so-called Synthetic Convection Log (SYNCO-Log). It enables in-situ detection and identification of free convective, including double-diffusive, flows using state-of-the-art geophysical borehole measurements. Vertical convection in fluid-filled boreholes is known to lead to transport of heat and mass. Thus, understanding free convective flow is crucial for geothermics, borehole geophysics, hydrological investigations, and meaningful fluid sampling. The SYNCO-Log is divided into two closely linked parts: (1) the cause-oriented approach compares the situation along the fluid column with critical thresholds for the onset of free convection and (2) the effect-oriented approach separates the anomalies and patterns in fluid quality that are induced by free convection. Inputs for the interpretation algorithm are simultaneously acquired temperature and mudresistivity (or fluid conductivity) logs, hydraulic pressure, and borehole diameter. Output of the algorithm is a computer generated, descriptive illustration of the results including a classified plot for delineating the type of flow. The reliability of the SYNCO-Log is high, as causes and effects, i.e. driving forces and resulting heat and mass transport, are simultaneously identified. Its applicability and the relevance of the results are shown on the example of borehole measurements from the KTB-MH deep crustal borehole, located in the Bavarian region of Germany. (C) 2010 Elsevier B.V. All r
Cerebrospinal fluid (CSF)-based neurochemical dementia diagnostics (NDD) is a well-established diagnostic tool for neurodegenerative disorders, including Alzheimer's disease (AD). However, the direct comparison of...
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Cerebrospinal fluid (CSF)-based neurochemical dementia diagnostics (NDD) is a well-established diagnostic tool for neurodegenerative disorders, including Alzheimer's disease (AD). However, the direct comparison of the concentrations of the biomarkers between laboratories is often very misleading, due to relatively high inter-laboratory discrepancies of normal/abnormal ranges (cutoff values). Therefore, an interpretation tool might be useful for centers performing NDD to facilitate a standardized, diagnostic-oriented reporting of the data on biomarkers. In this study, we present a simple, easy-to-implement algorithm allowing diagnostic-relevant categorization of patients according to the outcome of the CSF NDD results and, correspondingly, enabling reporting of the data to clinicians in a clear and easy-to-follow form. The algorithm is flexible and cutoff values independent, meaning each laboratory can easily supplement it with the cutoff values and normal/abnormal ranges according to the needs;the only prerequisite is to perform the standard CSF NDD assays (amyloid beta peptides and Tau/pTau).
Background: Genotypic assays based on DNA sequencing of part or the whole reverse transcriptase (RT)- and protease (PR)-coding regions of the human immunodeficiency virus type 1 (HIV-1) genome have become part of the ...
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Background: Genotypic assays based on DNA sequencing of part or the whole reverse transcriptase (RT)- and protease (PR)-coding regions of the human immunodeficiency virus type 1 (HIV-1) genome have become part of the routine clinical management of HIV-infected individuals. However, the results are difficult to interpret due to complex interactions between mutations found in viral genes. Results: DR_SEQAN is a tool to analyze RT and PR sequences. The program output includes a list containing all of the amino acid changes found in the query sequence in comparison with the sequence of a wild-type HIV-1 strain. Translation of codons containing nucleotide mixtures can result in potential ambiguities or heterogeneities in the amino acid sequence. The program identifies all possible combinations of 2 or 3 amino acids that derive from translation of triplets containing nucleotide mixtures. In addition, when ambiguities affect codons relevant for drug resistance, DR_SEQAN allows the user to select the appropriate mutation to be considered by the program's drug resistance interpretation algorithm. Resistance is predicted using a rule-based algorithm, whose efficiency and accuracy has been tested with a large set of drug susceptibility data. Drug resistance predictions given by DR_SEQAN were consistent with phenotypic data and coherent with predictions provided by other publicly available algorithms. In addition, the program output provides two tables showing published drug susceptibility data and references for mutations and combinations of mutations found in the analyzed sequence. These data are retrieved from an integrated relational database, implemented in Microsoft Access, which includes two sets of non-redundant core tables (one for combinations of mutations in the PR and the other for combinations in the RT). Conclusion: DR_SEQAN is an easy to use off-line application that provides expert advice on HIV genotypic resistance interpretation. It is coded in Visual Basic fo
Background: Resistance testing is increasingly accepted as a tool in guiding the selection of human immunodeficiency virus type 1 (HIV-1) antiretroviral therapy in HIV-1 infected individuals who fail their current reg...
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Background: Resistance testing is increasingly accepted as a tool in guiding the selection of human immunodeficiency virus type 1 (HIV-1) antiretroviral therapy in HIV-1 infected individuals who fail their current regimen. Objectives: To descriptively compare the correlation between virologic treatment response and results using three genotypic HIV-1 drug resistance interpretation systems: the VERSANT(R) HIV-1 Resistance Assay (LiPA) system and two sequence-based interpretation systems. Study design: Specimens from 213 HIV-1-infected subjects, either starting (n = 104) or switching to (n = 109) a regimen of three or four antiretroviral drugs, were collected retrospectively at baseline and after 3 months of uninterrupted therapy. The correlation between viral load change and the number of predicted active drugs in the treatment regimen was assessed. An interpretation algorithm was recently developed to process VERSANT(R) HIV-1 Resistance Assay (LiPA) data. The number of active drugs predicted using this algorithm was rank correlated with the viral load change over a 3-month treatment period. For comparison, a similar calculation was made using two sequence-based algorithms (REGA version 5.5 and VGI GuideLines(TM) Rules 4.0), both applied on the same sequences. Results: Statistically significant (p < 0.05) correlation coefficients for each of the three HIV-1 drug resistance interpretation systems were observed in the treatment-experienced subjects on a 3-drug regimen (-0.39, -0.38, and -0.42, respectively) as well as on a 4-drug regimen (-0.33, -0.31, and -0.37, respectively). However, no significant correlation was observed in treatment-naive subjects, probably due to the very low frequency of drug resistance in these subjects. Conclusion: All three genotypic drug resistance interpretation systems (LiPA version 1, REGA version 5.5, and VGI GuideLines(TM) Rules 4.0) were statistically significantly correlated with virologic therapy response as measured by viral load t
A highly structured design methodology is necessary to be successful in the design of VLSI integrated circuits with more than 100000 transistors on a chip. Such a methodology is described: it is based on the regularit...
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We present here several basic methodologies used in the design of control parts of microprocessors and discuss their classification with respect to the qualities of their design. All these different methodologies are ...
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We present here several basic methodologies used in the design of control parts of microprocessors and discuss their classification with respect to the qualities of their design. All these different methodologies are brought out by decoding existing integrated circuits. Afterwards each one of these methodologies was used to redesign a new control part for the MC 6800 microprocessor, its operation part remaining unchanged. In this way, we obtained a set of normalized solutions so that the real efficiency of each method could be estimated in terms of the cost of hardware and design time. The performance expressed by the cycle time of each control part was also calculated leading to the complete, valid classification of different design styles. Lastly, the evolution of the design efficiency versus the circuit complexity was studied.
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