77 results on '"R. C. Li"'
Search Results
2. [Research progress on cell senescence and cardiac remodeling]
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R C, Li, L L, Liu, H Y, Rui, H X, Yu, J X, Wang, D, Zou, F, Xu, D D, Qin, W X, Wu, Y, Liang, K, Liu, L, Xue, and Y G, Chen
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Ventricular Remodeling ,Humans ,Heart ,Cellular Senescence - Abstract
心脏重构是心力衰竭发生发展的主要病理基础,是影响心肌损伤患者预后的重要因素。心脏重构的调节机制众多,近年来发现多与心脏细胞衰老有关。该文从氧化应激、炎症反应、能量代谢、自噬、线粒体功能障碍等方面综述了心脏细胞衰老对心脏重构的作用及机制,以期为心力衰竭的防治提供新思路。.
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- 2021
3. The Influence of Macroeconomic Variables on Philippine Stock Market Indices: A Structural Equation Model Approach
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R. C. Li and N. B. Fernandez
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media_common.quotation_subject ,Monetary policy ,Consumer spending ,Money supply ,04 agricultural and veterinary sciences ,02 engineering and technology ,Monetary economics ,Stock market index ,Interest rate ,020303 mechanical engineering & transports ,0203 mechanical engineering ,Economic indicator ,040103 agronomy & agriculture ,Economics ,0401 agriculture, forestry, and fisheries ,Stock market ,Stock (geology) ,media_common - Abstract
Structural Equation Modeling was carried out in this study to investigate whether macroeconomic variables under Business Activity, Consumer Activity and Monetary Policy influence the performance of Philippine stock market indices. A proposed economic-based model was used to determine which set of variables has direct and indirect effect on the stock market for the period of 2006 to 2018. Results showed that Consumer Activity and Monetary Policy were the main drivers that influence the performance of all sectors in the Philippine Stock Market. Business Activity is also a significant factor but only for the Financial, Industrial, and Property Sectors. On the other side, Monetary Policy showed a significant direct effect on Financial, Holding Firms, Services, and Mining-Oil Sectors but no direct effect on the Industrial and Property Sector. The results conclude that stock performance is significantly determined by some fundamental macroeconomic variables such as money supply, interest rate, remittances, consumer spending, and industrial production index. These findings suggest that investors should pay close attention to consumer activity since an increase in stock market performance is mainly determined by this factor.
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- 2020
4. Machine-learning-based nowcasting of the Vögelsberg deep-seated landslide: why predicting slow deformation is not so easy
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A. L. van Natijne, T. A. Bogaard, T. Zieher, J. Pfeiffer, and R. C. Lindenbergh
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Environmental technology. Sanitary engineering ,TD1-1066 ,Geography. Anthropology. Recreation ,Environmental sciences ,GE1-350 ,Geology ,QE1-996.5 - Abstract
Landslides are one of the major weather-related geohazards. To assess their potential impact and design mitigation solutions, a detailed understanding of the slope processes is required. Landslide modelling is typically based on data-rich geomechanical models. Recently, machine learning has shown promising results in modelling a variety of processes. Furthermore, slope conditions are now also monitored from space, in wide-area repeat surveys from satellites. In the present study we tested if use of machine learning, combined with readily available remote sensing data, allows us to build a deformation nowcasting model. A successful landslide deformation nowcast, based on remote sensing data and machine learning, would demonstrate effective understanding of the slope processes, even in the absence of physical modelling. We tested our methodology on the Vögelsberg, a deep-seated landslide near Innsbruck, Austria. Our results show that the formulation of such a machine learning system is not as straightforward as often hoped for. The primary issue is the freedom of the model compared to the number of acceleration events in the time series available for training, as well as inherent limitations of the standard quality metrics such as the mean squared error. Satellite remote sensing has the potential to provide longer time series, over wide areas. However, although longer time series of deformation and slope conditions are clearly beneficial for machine-learning-based analyses, the present study shows the importance of the training data quality but also that this technique is mostly applicable to the well-monitored, more dynamic deforming landslides.
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- 2023
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5. [Morphological changes of the central sulcus in children with complete growth hormone deficiency: a 3.0 T MRI study]
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Q, Zhang, Y, Wang, X T, Lin, F F, Xu, Z Y, Hou, Z R, Li, Q W, Yu, X M, Wang, S W, Liu, R C, Li, and Z H, Zhang
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Cerebral Cortex ,Male ,Brain Mapping ,Adolescent ,Child, Preschool ,Growth Hormone ,Brain ,Humans ,Female ,Child ,Magnetic Resonance Imaging - Published
- 2020
6. Quality-Oriented Network DEA Model for the Research Efficiency of Philippine Universities
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W. F. Madria, A. S. Miguel, and R. C. Li
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Higher education ,Process (engineering) ,business.industry ,media_common.quotation_subject ,05 social sciences ,Environmental economics ,Development plan ,Efficiency ,0502 economics and business ,Research efficiency ,Data envelopment analysis ,Quality (business) ,Business ,050207 economics ,0509 other social sciences ,050904 information & library sciences ,media_common - Abstract
In response to the Philippines education system's development plan in strengthening the research culture of the different higher education institutions, this study was conducted to assess the research efficiency of 18 research universities in the country. Standard Data Envelopment Analysis (DEA) models, have been used in previous researches to measure the relative efficiency of research performance of universities with quantity-oriented indicators inputs and outputs. This study proposed the use of a network DEA (NDEA) model considering quality indicators in assessing the efficiency of the research performance of universities. NDEA allows the measurement of efficiency per stage of a process. The main finding is that the standard DEA tends to exaggerate the research efficiency compared to that of NDEA. The use of quality-oriented publication indicator also revealed that the use of quantity-oriented indicators alone exaggerates the performance of the universities as it is mainly based on the number of researches produced, not considering the impact or quality of each research. Some of the top-performing universities ranked lower with the use of quantity-oriented indicators.
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- 2019
7. Elevated levels of IL-24 in systemic lupus erythematosus patients
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L C Su, A F Huang, R C Li, and J Guo
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0301 basic medicine ,Adult ,Male ,Enzyme-Linked Immunosorbent Assay ,medicine.disease_cause ,Real-Time Polymerase Chain Reaction ,Severity of Illness Index ,Autoimmunity ,03 medical and health sciences ,0302 clinical medicine ,Rheumatology ,medicine ,Humans ,Lupus Erythematosus, Systemic ,In patient ,Genetic Predisposition to Disease ,RNA, Messenger ,skin and connective tissue diseases ,Systemic lupus erythematosus ,business.industry ,Interleukins ,Middle Aged ,medicine.disease ,030104 developmental biology ,ROC Curve ,030220 oncology & carcinogenesis ,Case-Control Studies ,Immunology ,Female ,business - Abstract
Objective This study aimed to assess IL-24 levels and their association with clinical manifestations in patients with systemic lupus erythematosus (SLE). Methods There were 75 patients with SLE and 58 healthy controls recruited in this study. Serum levels of IL-24 were measured by enzyme-linked immunosorbent assays, and mRNA levels of IL-24 were tested by quantitative real-time polymerase chain reaction . The area under the curve of the receiver operating characteristic (ROC) curve was used for diagnostic ability of the inflammatory cytokine. Results Serum IL-24 levels were significantly higher in SLE patients than that in healthy controls. SLE patients with nephritis had higher IL-24 levels than those without nephritis. Active SLE patients showed higher expression of IL-24 as compared to less active disease patients. The mRNA levels of IL-24 were much higher in SLE patients. Correlation analysis showed significant correlation between serum IL-24 levels and SLE disease activity index. In addition, ROC analysis may suggest good ability of serum IL-24 in differentiating SLE. Conclusion The inflammatory cytokine correlated with SLE disease activity, and may be involved in this disease pathogenesis.
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- 2019
8. [Abuse of diphenoxylate and related factors of forced drug abstainer in Gansu province]
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J J, Huang, Y M, Rong, R C, Li, Y L, Li, Y X, Yang, K F, Bao, J H, Zhang, Y Q, Liu, X Y, Du, S, Zheng, and Y N, Bai
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Analgesics, Opioid ,China ,Diphenoxylate ,Substance-Related Disorders ,Case-Control Studies ,Surveys and Questionnaires ,Humans ,Substance Withdrawal Syndrome - Published
- 2018
9. A tool for selecting optimal emergency response unit locations using an integrated AHP-MILP approach
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J. L. San Juan, C. Fernandez, B. Lim, E. Lim, and R. C. Li
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050210 logistics & transportation ,education.field_of_study ,Emergency management ,Operations research ,business.industry ,05 social sciences ,Population ,Process (computing) ,Analytic hierarchy process ,0102 computer and information sciences ,Maximization ,01 natural sciences ,010201 computation theory & mathematics ,0502 economics and business ,Scenario analysis ,business ,education ,Integer programming ,Preference (economics) - Abstract
The location of emergency response units (ERUs) is crucial to their operational success. This paper proposes the use of both qualitative and quantitative techniques to consider possible trade-offs between the two in determining optimal locations through an integrated Analytical Hierarchical Process and Mixed Integer Linear Programming approach with consideration of multiple routes with changing velocities and multiple ERU locations in a district. Neither objective is optimized at the other's expense through the maximization of the least efficiency value generated. A case application showed the model's validity by prioritizing the ERU locations that had the highest preference ratings. Scenario analysis revealed that varying ERU capacity does not change the optimal solution but affects the percent of population served, while changing the number of ERUs required per district and the preference ratings of the potential locations does, as the model adjusts to meet the new requirements and considers changed priorities.
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- 2017
10. [Study on the immunogenicity and safety of recombinant B-subunit/whole cell cholera vaccine infused with antacids in healthy population at ages of 2-6 years]
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T, Huang, R C, Li, and D P, Liu
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Male ,China ,Vaccines, Synthetic ,Cholera ,Double-Blind Method ,Child, Preschool ,Humans ,Cholera Vaccines ,Female ,Antacids ,Child - Published
- 2017
11. [Prevalence of type-specific human papillomavirus infection among 18-45 year-old women from the general population in Liuzhou, Guangxi Zhuang Autonomous Region: a cross-sectional study]
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X, Wu, J, Zhao, X L, Cui, Q, Li, H, Tao, Q J, Pan, X, Zhang, W, Chen, Y P, Li, R C, Li, T, Wu, and M Q, Li
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Adult ,China ,Adolescent ,Papillomavirus Infections ,Age Factors ,Uterine Cervical Neoplasms ,Middle Aged ,Uterine Cervical Dysplasia ,Age Distribution ,Cross-Sectional Studies ,Colposcopy ,Pregnancy ,Prevalence ,Humans ,Female ,Papillomaviridae - Published
- 2017
12. EFFICIENT SPARSE STREET FURNITURE EXTRACTION FROM MOBILE LASER SCANNING POINT CLOUDS
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L. Truong-Hong, R. C. Lindenbergh, and M. J. Vermeij
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Technology ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Applied optics. Photonics ,TA1501-1820 - Abstract
Current mobile systems are capable of efficiently acquiring dense urban point clouds. Still, operational use of such data is hampered by the lack of efficient object extraction methodology. Notably methodology is lacking for automatically extracting objects that do not belong to the road furniture like street signs and light poles but do belong to the street furniture. As an example, object we consider public garbage bins, that are installed and should be maintained in public areas in every city. However, information about types, locations, and condition of these public garbage bins are rarely updated and only obtained through manual measurements. Therefore, an efficient way of collecting information on such public objects is of interest not only for urban management but also when developing digital twins of a city. This study proposes a new method to automatically extract public garbage bins from large urban mobile laser scanning (MLS) point clouds. The proposed method consists of three main steps: (1) cell-, (2) sub-cell-, and (3) surface-based filtering, in which both spatial information of the point clouds and contextual knowledge of the public garbage bins are incorporated to efficiently remove irrelevant 3D points at an early phase and identify and classify different types of public garbage bins. Contextual knowledge includes shape and dimensions, and the relationship between the public garbage bins and the ground surface. A MLS dataset of the city centre of Rotterdam, the Netherlands, consisting of 2.84 billion points organised in 166 tiles of 50 × 75m, and covering an area of about 750 × 750m was used to test the proposed method. Results show that the method can automatically extract ~90 public garbage bins with an overall detection rate of 89.1%. Moreover, the executing time for the entire dataset was only about 163.6 minutes, which is equivalent to 3.46 seconds per one million points. Although the method was tested here one public garbage bins, it can be easily tuned for the detection of other street furniture objects, like benches, post boxes or bollards.
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- 2022
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13. ROBUST APPROACH FOR URBAN ROAD SURFACE EXTRACTION USING MOBILE LASER SCANNING 3D POINT CLOUDS
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A. Nurunnabi, F. N. Teferle, R. C. Lindenbergh, J. Li, and S. Zlatanova
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Technology ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Applied optics. Photonics ,TA1501-1820 - Abstract
Road surface extraction is crucial for 3D city analysis. Mobile laser scanning (MLS) is the most appropriate data acquisition system for the road environment because of its efficient vehicle-based on-road scanning opportunity. Many methods are available for road pavement, curb and roadside way extraction. Most of them use classical approaches that do not mitigate problems caused by the presence of noise and outliers. In practice, however, laser scanning point clouds are not free from noise and outliers, and it is apparent that the presence of a very small portion of outliers and noise can produce unreliable and non-robust results. A road surface usually consists of three key parts: road pavement, curb and roadside way. This paper investigates the problem of road surface extraction in the presence of noise and outliers, and proposes a robust algorithm for road pavement, curb, road divider/islands, and roadside way extraction using MLS point clouds. The proposed algorithm employs robust statistical approaches to remove the consequences of the presence of noise and outliers. It consists of five sequential steps for road ground and non-ground surface separation, and road related components determination. Demonstration on two different MLS data sets shows that the new algorithm is efficient for road surface extraction and for classifying road pavement, curb, road divider/island and roadside way. The success can be rated in one experiment in this paper, where we extract curb points; the results achieve 97.28%, 100% and 0.986 of precision, recall and Matthews correlation coefficient, respectively.
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- 2022
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14. PROBABILISTIC VEGETATION TRANSITIONS IN DUNES BY COMBINING SPECTRAL AND LIDAR DATA
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H. S. Kathmann, A. L. van Natijne, and R. C. Lindenbergh
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Technology ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Applied optics. Photonics ,TA1501-1820 - Abstract
Monitoring the status of the vegetation is required for nature conservation. This monitoring task is time consuming as kilometers of area have to be investigated and classified. To make this task more manageable, remote sensing is used. The acquisition of airplane remote sensing data is dependent on weather conditions and permission to fly in the busy airspace above the Netherlands. These conditions make it difficult to get a new, dedicated acquisition every year. Therefore, alternatives for this dependency on dedicated airplane surveys are needed. One alternative is the use of optical satellite imagery, as this type of data has improved rapidly in the last decade both in terms of resolution and revisit time. For this study, 0.5 m resolution satellite imagery from the Superview satellite is combined with geometric height data from the Dutch national airborne LiDAR elevation data set AHN. Goal is to classify vegetation into three different classes: sand, grass and trees, apply this classification to multiple epochs, and analyze class transition patterns. Three different classification methods were compared: nearest centroid, random forest and neural network. We show that outcomes of all three methods can be interpreted as class probabilities, but also that these probabilities have different properties for each method. The classification is implemented for 11 different epochs on the Meijendel en Berkheide dunal area on the Dutch coast. We show that mixed probabilities (i.e. between two classes) agree well with class transition processes, and conclude that a shallow neural network combined with pure training samples applied on four different bands (RGB + relative DSM height) produces satisfactory results for the analysis of vegetation transitions with accuracies close to 100%.
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- 2022
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15. A TWO-STEP FEATURE EXTRACTION ALGORITHM: APPLICATION TO DEEP LEARNING FOR POINT CLOUD CLASSIFICATION
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A. Nurunnabi, F. N. Teferle, D. F. Laefer, R. C. Lindenbergh, and A. Hunegnaw
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Technology ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Applied optics. Photonics ,TA1501-1820 - Abstract
Most deep learning (DL) methods that are not end-to-end use several multi-scale and multi-type hand-crafted features that make the network challenging, more computationally intensive and vulnerable to overfitting. Furthermore, reliance on empirically-based feature dimensionality reduction may lead to misclassification. In contrast, efficient feature management can reduce storage and computational complexities, builds better classifiers, and improves overall performance. Principal Component Analysis (PCA) is a well-known dimension reduction technique that has been used for feature extraction. This paper presents a two-step PCA based feature extraction algorithm that employs a variant of feature-based PointNet (Qi et al., 2017a) for point cloud classification. This paper extends the PointNet framework for use on large-scale aerial LiDAR data, and contributes by (i) developing a new feature extraction algorithm, (ii) exploring the impact of dimensionality reduction in feature extraction, and (iii) introducing a non-end-to-end PointNet variant for per point classification in point clouds. This is demonstrated on aerial laser scanning (ALS) point clouds. The algorithm successfully reduces the dimension of the feature space without sacrificing performance, as benchmarked against the original PointNet algorithm. When tested on the well-known Vaihingen data set, the proposed algorithm achieves an Overall Accuracy (OA) of 74.64% by using 9 input vectors and 14 shape features, whereas with the same 9 input vectors and only 5PCs (principal components built by the 14 shape features) it actually achieves a higher OA of 75.36% which demonstrates the effect of efficient dimensionality reduction.
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- 2022
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16. INVESTIGATION OF POINTNET FOR SEMANTIC SEGMENTATION OF LARGE-SCALE OUTDOOR POINT CLOUDS
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A. Nurunnabi, F. N. Teferle, J. Li, R. C. Lindenbergh, and S. Parvaz
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Technology ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Applied optics. Photonics ,TA1501-1820 - Abstract
Semantic segmentation of point clouds is indispensable for 3D scene understanding. Point clouds have credibility for capturing geometry of objects including shape, size, and orientation. Deep learning (DL) has been recognized as the most successful approach for image semantic segmentation. Applied to point clouds, performance of the many DL algorithms degrades, because point clouds are often sparse and have irregular data format. As a result, point clouds are regularly first transformed into voxel grids or image collections. PointNet was the first promising algorithm that feeds point clouds directly into the DL architecture. Although PointNet achieved remarkable performance on indoor point clouds, its performance has not been extensively studied in large-scale outdoor point clouds. So far, we know, no study on large-scale aerial point clouds investigates the sensitivity of the hyper-parameters used in the PointNet. This paper evaluates PointNet’s performance for semantic segmentation through three large-scale Airborne Laser Scanning (ALS) point clouds of urban environments. Reported results show that PointNet has potential in large-scale outdoor scene semantic segmentation. A remarkable limitation of PointNet is that it does not consider local structure induced by the metric space made by its local neighbors. Experiments exhibit PointNet is expressively sensitive to the hyper-parameters like batch-size, block partition and the number of points in a block. For an ALS dataset, we get significant difference between overall accuracies of 67.5% and 72.8%, for the block sizes of 5m × 5m and 10m × 10m, respectively. Results also discover that the performance of PointNet depends on the selection of input vectors.
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- 2021
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17. Impact of pharmacokinetics on the postantibiotic effect exhibited by Pseudomonas aeruginosa following tobramycin exposure: application of an in-vitro model
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Zheying Zhu and R C Li
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Microbiology (medical) ,Time Factors ,animal structures ,medicine.drug_class ,Antibiotics ,Microbial Sensitivity Tests ,Pharmacology ,Biology ,medicine.disease_cause ,Models, Biological ,Microbiology ,Pharmacokinetics ,medicine ,Tobramycin ,Pharmacology (medical) ,Antibacterial agent ,Pseudomonas aeruginosa ,Aminoglycoside ,Half-life ,Antimicrobial ,Anti-Bacterial Agents ,Infectious Diseases ,medicine.drug - Abstract
The postantibiotic effect (PAE) exhibited by Pseudomonas aeruginosa after exposure to single doses of tobramycin was investigated under various pharmacokinetic conditions using an established in-vitro kinetic model. At equal doses of the antibiotic stimulating an intravenous bolus condition, the effects of varying elimination half-life on PAE were assessed. The PAE was longer when the rate of antibiotic elimination was lower. However, after correcting for the different degrees of antibiotic exposure using the area under the concentration-time curve above the MIC (AUC > MIC), a coherent PAE versus antibiotic exposure profile was obtained. The effects of increasing tobramycin dose and exposure time on PAE were investigated in another series of experiments; PAE was assessed during antibiotic exposure when the exponentially decreasing concentrations were above the MIC, at the MIC and below the MIC. A longer PAE was achieved at higher doses and changes were dependent on both the degree and time of exposure. For all the doses tested, the PAE was longest when the decreasing antibiotic concentrations were near or at the MIC. Shorter PAEs were detected at sub-MIC concentrations and diminished rapidly as antibiotic concentrations continued to decline. Such a decrease in PAE was counteracted by the longer exposure time, so that the total time for which the organism was under the influence of the antimicrobial effects, i.e. the sum of exposure time and PAE, remained steady at sub-MIC concentrations. Under these simulated pharmacokinetic conditions, present data support a substantial impact of pharmacokinetics on PAE. Along with MIC, AUC > MIC can be a useful pharmacokinetic parameter for PAE assessments. Should PAE be a relevant factor in antibiotic chemotherapy, both time and degree of antibiotic exposure would have to be considered.
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- 1998
18. Lack of effect of concomitant zidovudine on rifabutin kinetics in patients with AIDS-related complex
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R C Lewis, S Nightingale, P K Narang, R C Li, and D C Colborn
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Adult ,Male ,Rifabutin ,Cmax ,Administration, Oral ,Pharmacology ,Drug Administration Schedule ,Zidovudine ,Pharmacokinetics ,AIDS-Related Complex ,Humans ,Medicine ,Drug Interactions ,Pharmacology (medical) ,Dosing ,Antibacterial agent ,business.industry ,Middle Aged ,Confidence interval ,Infectious Diseases ,Concomitant ,Drug Therapy, Combination ,Female ,business ,Research Article ,medicine.drug - Abstract
The effect of concomitant dosing with the antiretroviral agent zidovudine (ZDV) on the pharmacokinetics of rifabutin (RBT) was investigated under steady-state conditions. Sixteen human immunodeficiency virus-positive patients with AIDS-related complex who had been maintained on stable ZDV therapy for > or = 6 weeks were administered RBT concomitantly for 12 days. Eight patients received daily doses of 300 or 450 mg of RBT. Administration of ZDV was discontinued on day 13, and RBT was given alone for 3 additional days. Four patients receiving 450 mg of RBT discontinued treatment. Under steady-state ZDV and RBT dosing, safety and kinetics assessments were performed on day 13 (ZDV plus RBT) and day 16 (RBT alone). Kinetics on days 13 and 16 demonstrated that RBT (300 or 450 mg) was readily absorbed, with the time at which the plasma concentration was maximal (Tmax) ranging between 2.6 and 2.9 h. At these two doses, the mean steady-state maximal plasma concentrations (Cmax) were 250 and 430 ng/ml on day 13 and 245 and 458 ng/ml on day 16, respectively. RBT kinetics at the two doses were proportional and similar on the basis of estimates of the ratios of the areas under the concentration-time curves over the dosing interval from 0 to 24 h (AUC0-24) (450 mg/300 mg), which were 1.5 and 1.4 for days 13 and 16, respectively. No significant differences were apparent in the mean oral clearance (CLs/F) estimates (range, 1.60 to 1.77 liters/h/kg), which were dose independent and similar for the 2 assessment days, as was the urinary recovery of RBT and its 25-deacetyl metabolite. Low urinary recovery of 25-deacetyl RBT and an AUC metabolite/parent ratio of 0.1 suggest that there is minimal metabolism of RBT via the deacetylation pathway. For RBT, pooled mean (95% confidence interval) ratio (day 13/day 16) estimates for Cmax, Tmax, AUC0-24, and CLs/F were 1.07 (range, 0.77 to 1.38), 1.08 (0.89 to 1.27), 0.97 (0.82 to 1.13), and 1.09 (0.92 to 1.26), respectively. In addition, no significant changes in any of the major safety parameters were detected throughout the study. Therefore, it is concluded that coadministration of ZDV and RBT does not affect the pharmacokinetics and/or safety of RBT in human immunodeficiency virus-positive patients.
- Published
- 1996
19. Eccentric and concentric isokinetic knee flexion and extension: a reliability study using the Cybex 6000 dynamometer
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K M Chan, J L Chan, Y Wu, N Maffulli, and R C Li
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Adult ,Male ,medicine.medical_specialty ,Knee Joint ,Intraclass correlation ,Movement ,Physical Therapy, Sports Therapy and Rehabilitation ,Concentric ,Reliability study ,medicine ,Humans ,Eccentric ,Orthopedics and Sports Medicine ,Muscle, Skeletal ,Mathematics ,Orthodontics ,Dynamometer ,Biomechanics ,Reproducibility of Results ,General Medicine ,Biomechanical Phenomena ,Physical therapy ,Female ,medicine.symptom ,Research Article ,Muscle Contraction ,Muscle contraction - Abstract
OBJECTIVE: To determine the reliability of the Cybex 6000 isokinetic dynamometer in measuring the knee muscle performance concentrically and eccentrically. METHODS: 18 male and 12 female subjects with no previous knee injuries, who had not previously undergone any isokinetic testing, were studied. The flexor and extensor muscles groups of both knees were tested at 60 degrees s-1 and 120 degrees s-1 with the continuous concentric-eccentric cycle testing protocol. Variables studied included peak torque, total work, and average power. The interclass correlation coefficient (ICC 2,1) was used to determine the reliability with P < 0.05. RESULTS: Peak torque showed significantly greater ICC than the total work and average power, with test-retest reliability ranging from 0.82 to 0.91 for peak torque, from 0.76 to 0.89 for total work, and 0.71 to 0.88 for average power. Average variability for the three variables studied ranged from 9% to 14%. The ICCs for the three variables studied were significantly greater at 120 degrees s-1. The knee extensor muscle group showed greater test-retest reliability, and the results of isokinetic testing in the concentric contraction mode were more reproducible. CONCLUSIONS: The Cybex 6000 isokinetic dynamometer shows high reliability in measuring isokinetic concentric and eccentric variables. Some fluctuation should be allowed when evaluating variations of muscle performance between tests.
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- 1996
20. INFLUENCE OF SPATIAL AND TEMPORAL RESOLUTION ON TIME SERIES-BASED COASTAL SURFACE CHANGE ANALYSIS USING HOURLY TERRESTRIAL LASER SCANS
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K. Anders, L. Winiwarter, H. Mara, R. C. Lindenbergh, S. E. Vos, and B. Höfle
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Technology ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Applied optics. Photonics ,TA1501-1820 - Abstract
Near-continuously acquired terrestrial laser scanning (TLS) data contains valuable information on natural surface dynamics. An important step in geographic analyses is to detect different types of changes that can be observed in a scene. For this, spatiotemporal segmentation is a time series-based method of surface change analysis that removes the need to select analysis periods, providing so-called 4D objects-by-change (4D-OBCs). This involves higher computational effort than pairwise change detection, and efforts scale with (i) the temporal density of input data and (ii) the (variable) spatial extent of delineated changes. These two factors determine the cost and number of Dynamic Time Warping distance calculations to be performed for deriving the metric of time series similarity. We investigate how a reduction of the spatial and temporal resolution of input data influences the delineation of twelve erosion and accumulation forms, using an hourly five-month TLS time series of a sandy beach. We compare the spatial extent of 4D-OBCs obtained at reduced spatial (1.0 m to 15.0 m with 0.5 m steps) and temporal (2 h to 96 h with 2 h steps) resolution to the result from highest-resolution data. Many change delineations achieve acceptable performance with ranges of ±10 % to ±100 % in delineated object area, depending on the spatial extent of the respective change form. We suggest a locally adaptive approach to identify poor performance at certain resolution levels for the integration in a hierarchical approach. Consequently, the spatial delineation could be performed at high accuracy for specific target changes in a second iteration. This will allow more efficient 3D change analysis towards near-realtime, online TLS-based observation of natural surface changes.
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- 2021
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21. AN EFFICIENT DEEP LEARNING APPROACH FOR GROUND POINT FILTERING IN AERIAL LASER SCANNING POINT CLOUDS
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A. Nurunnabi, F. N. Teferle, J. Li, R. C. Lindenbergh, and A. Hunegnaw
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Technology ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Applied optics. Photonics ,TA1501-1820 - Abstract
Ground surface extraction is one of the classic tasks in airborne laser scanning (ALS) point cloud processing that is used for three-dimensional (3D) city modelling, infrastructure health monitoring, and disaster management. Many methods have been developed over the last three decades. Recently, Deep Learning (DL) has become the most dominant technique for 3D point cloud classification. DL methods used for classification can be categorized into end-to-end and non end-to-end approaches. One of the main challenges of using supervised DL approaches is getting a sufficient amount of training data. The main advantage of using a supervised non end-to-end approach is that it requires less training data. This paper introduces a novel local feature-based non end-to-end DL algorithm that generates a binary classifier for ground point filtering. It studies feature relevance, and investigates three models that are different combinations of features. This method is free from the limitations of point clouds’ irregular data structure and varying data density, which is the biggest challenge for using the elegant convolutional neural network. The new algorithm does not require transforming data into regular 3D voxel grids or any rasterization. The performance of the new method has been demonstrated through two ALS datasets covering urban environments. The method successfully labels ground and non-ground points in the presence of steep slopes and height discontinuity in the terrain. Experiments in this paper show that the algorithm achieves around 97% in both F1-score and model accuracy for ground point labelling.
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- 2021
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22. ROAD TYPE CLASSIFICATION OF MLS POINT CLOUDS USING DEEP LEARNING
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Q. Bai, R. C. Lindenbergh, J. Vijverberg, and J. A. P. Guelen
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Technology ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Applied optics. Photonics ,TA1501-1820 - Abstract
Functional classification of the road is important to the construction of sustainable transport systems and proper design of facilities. Mobile laser scanning (MLS) point clouds provide accurate and dense 3D measurements of road scenes, while their massive data volume and lack of structure also bring difficulties in processing. 3D point cloud understanding through deep neural networks achieves breakthroughs since PointNet and arouses wide attention in recent years. In this paper, we study the automatic road type classification of MLS point clouds by employing a point-wise neural network, RandLA-Net, which is designed for consuming large-scale point clouds. An effective local feature aggregation (LFA) module in RandLA-Net preserves the local geometry in point clouds by formulating an enhanced geometric feature vector and learning different point weights in a local neighborhood. Based on this method, we also investigate possible feature combinations to calculate neighboring weights. We train on a colorized point cloud from the city of Hannover, Germany, and classify road points into 7 classes that reveal detailed functions, i.e., sidewalk, cycling path, rail track, parking area, motorway, green area, and island without traffic. Also, three feature combinations inside the LFA module are examined, including the geometric feature vector only, the geometric feature vector combined with additional features (e.g., color), and the geometric feature vector combined with local differences of additional features. We achieve the best overall accuracy (86.23%) and mean IoU (69.41%) by adopting the second and third combinations respectively, with additional features including Red, Green, Blue, and intensity. The evaluation results demonstrate the effectiveness of our method, but we also observe that different road types benefit the most from different feature settings.
- Published
- 2021
- Full Text
- View/download PDF
23. The fractional maximal effect method: a new way to characterize the effect of antibiotic combinations and other nonlinear pharmacodynamic interactions
- Author
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Jerome J. Schentag, David E. Nix, and R C Li
- Subjects
Pharmacology ,Bacteria ,Chemistry ,Amoxicillin ,Microbial Sensitivity Tests ,Drug interaction ,Nonlinear system ,Minimum inhibitory concentration ,Chloramphenicol ,Infectious Diseases ,Linearization ,Pharmacodynamics ,Ticarcillin ,Additive function ,Checkerboard ,Tobramycin ,medicine ,Drug Interactions ,Drug Therapy, Combination ,Pharmacology (medical) ,Biological system ,Research Article ,medicine.drug - Abstract
The checkerboard technique leading to the fractional inhibitory concentration indexes and the killing curve method are currently the most widely used methods to study antibiotic combinations. For both methods, experimental conditions and interpretation criteria are somewhat arbitrary. The relevance of the fractional inhibitory concentration index computation, in the classic case of additivity [P = d1/(D1)p + d2/(D2)p, where d1 and d2 are the doses of drugs 1 and 2 in combination to produce an effect at a percent level (P) and (D1)p and (D2)p are the doses required for the two respective drugs alone to produce the same effect] relies on the assumption of a linear relationship between the MIC and the concentration of the test antibiotics. In addition, there is no consensus as to the definition of synergy in killing curve interpretation. The fractional maximal effect (FME) method is a new approach which was developed to handle the nonlinear pharmacodynamics exhibited by antibiotics and other drugs. This method relies on the mathematical linearization of the nonlinear concentration-effect scales and eventual construction of an isobologram-type data plot. The FME method was applied to study interactions between several antibiotic combinations: amoxicillin and tetracycline, ciprofloxacin and erythromycin, and ticarcillin and tobramycin. These combinations were selected because the pharmacologic basis for their interactions has been previously described. The FME method correctly identified antagonism for the first two combinations and synergism for the last combination. Conclusions were reproducible across the range of concentrations studied. Besides providing information on the nature of the interaction, the method can rapidly explore the effect of changing concentration ratios of two antimicrobial agents on the degrees of interaction. The FME method may be applied to interactions between drugs or agents with either a linear or nonlinear endpoint measurement. Methods frequently used for drug combination testing are also discussed in the paper.
- Published
- 1993
24. Gonadotrophic potency of the pituitary of rats after desoxycorticosterone
- Author
-
R C, LI
- Subjects
Pituitary Diseases ,Pituitary Gland ,Animals ,Gonadotrophs ,Desoxycorticosterone ,Rats - Published
- 2010
25. Resveratrol and neurodegenerative diseases
- Author
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C. F. Levine, R. C. Li, Z. A. Shah, and S. Doré
- Subjects
food and beverages - Published
- 2008
26. BIT Numerical Mathematics: Editorial
- Author
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Åhlander, K., Allen, E., Aptekarev, A. I., Arioli, M., Arnold, M., Asadzadeh, M., Baglama, J., Bailly, C., Baker, C., Bartels, S., Bendali, A., Benzi, M., Berntsson, F., Breda, D., Brunner, H., SERRA CAPIZZANO, Stefano, Cash, J., Chan, R., Chandrasekaran, S., Chang, X. W., Chern, I. L., Crouzeix, M., Van Daele, M., Damhaug, A. C., Davis, T., Davydov, O., Dieci, L., Eriksson, J., Eriksson, L. E., Espelid, T., Estep, D., Fontich, E., Ford, N., Fornberg, B., Foster, L., Frank, J., Gander, W., Garća Palomares, U. M., Giraud, L., Greenbaum, A., Gripenberg, G., Gulliksson, M., Gustafsson, B., Gustafsson, N., Hairer, E., Hanke, M., Heggernes, P., Van Emden Henson, N., Hesthaven, J., Sanz, I. H., Hochbruck, M., Hochstenbach, M., Huckle, T., Kamvar, S., Kaps, P., Karlsen, K. H., Klarbring, A., Knizhnerman, L., Kopotum, K., Korotov, S., Kuijlaars, A., Kværnø, A., Langtangen, H. P., Larsson, E., Lenarduzzi, L., Lewalle, J., R. C., Li, Lin, P., Malyshev, A., Marletta, M., Mazzia, F., Mehl, C., Moore, P., Müller, B., Mørken, K., Neytcheva, M., Niederman, L., Olver, S., Ostrouchov, G., Pareschi, L., Parlett, B. N., Pralet, S., Raghavan, P., Rannacher, R., Runborg, O., Ruuth, S., Sand, J., Saunders, M., Sauter, S., Savaré, G., Shen, W. Z., Sidi, A., Spiteri, R., Steihaug, T., Stenger, F., Stoer, J., Strakoš, Z., and Tang, T.
- Subjects
Computational Mathematics ,Applied Mathematics ,Computer Graphics and Computer-Aided Design ,Software - Published
- 2005
27. [Prevalence of mutants in the determinant region of hepatitis B surface antigen among Chinese carriers after receiving only active postexposure immunoprophylaxis]
- Author
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G, Xia, O V, Nainan, Z, Jia, J J, Wang, H B, Liu, R C, Li, H L, Cao, C B, Liu, and H S, Margolis
- Subjects
Male ,Hepatitis B Surface Antigens ,Adolescent ,RNA-Binding Proteins ,Hepatitis B ,Epitopes ,Sequence Analysis, Protein ,Child, Preschool ,Carrier State ,Humans ,Point Mutation ,Female ,Hepatitis B Vaccines ,Child - Abstract
To determine the frequency of hepatitis B surface antigen (HBsAg) mutations in the alpha determinant region among children who developed chronic hepatitis B virus (HBV) infection after receiving only active postexposure immunoprophylaxis.HBsAg mutations were determined by PCR-directed nucleotide sequencing and sequence-specific solid-phase PCR analysis(SS-SPPCR) for 97 Chinese carrier cases after hepatitis B vaccination, for 88 children born aged women controls, and for 95 population based children controls.Prevalence of amino acid substitutions as detected by direct sequencing among carrier cases, women controls, and children controls were 30.9%, 10.2%, and 5.3%, respectively. The most frequent amino acid substitutions observed were at residues 145, 126, and 133. However, there was no difference in the prevalence of 145 and 126 amino acid mutants as detected by a sensitive SS-SPPCR method between carrier cases and controls. The prevalence of 145 Arg and 145 Ala mutants that were detected by SS-SPPCR was 39.2%, 33.0% and 32.6% among carrier cases, women controls, and children controls, respectively. The total odds ratio was 5.41 for mutants detected by direct sequencing. Odds ratio were 34.55 and 33.39 among adw2 subtype and genotype B subjects for mutants detected by direct sequencing, respectively.The results show that hepatitis B virus mutants in the determinant are fairly consistent observed but without immune selective pressures; HBV variant strains may pre-existent as minor quasispecies. The prevalence of mutants is related to HBV subtypes and genotypes.
- Published
- 2002
28. TAILORED FEATURES FOR SEMANTIC SEGMENTATION WITH A DGCNN USING FREE TRAINING SAMPLES OF A COLORED AIRBORNE POINT CLOUD
- Author
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E. Widyaningrum, M. K. Fajari, R. C. Lindenbergh, and M. Hahn
- Subjects
Technology ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Applied optics. Photonics ,TA1501-1820 - Abstract
Automation of 3D LiDAR point cloud processing is expected to increase the production rate of many applications including automatic map generation. Fast development on high-end hardware has boosted the expansion of deep learning research for 3D classification and segmentation. However, deep learning requires large amount of high quality training samples. The generation of training samples for accurate classification results, especially for airborne point cloud data, is still problematic. Moreover, which customized features should be used best for segmenting airborne point cloud data is still unclear. This paper proposes semi-automatic point cloud labelling and examines the potential of combining different tailor-made features for pointwise semantic segmentation of an airborne point cloud. We implement a Dynamic Graph CNN (DGCNN) approach to classify airborne point cloud data into four land cover classes: bare-land, trees, buildings and roads. The DGCNN architecture is chosen as this network relates two approaches, PointNet and graph CNNs, to exploit the geometric relationships between points. For experiments, we train an airborne point cloud and co-aligned orthophoto of the Surabaya city area of Indonesia to DGCNN using three different tailor-made feature combinations: points with RGB (Red, Green, Blue) color, points with original LiDAR features (Intensity, Return number, Number of returns) so-called IRN, and points with two spectral colors and Intensity (Red, Green, Intensity) so-called RGI. The overall accuracy of the testing area indicates that using RGB information gives the best segmentation results of 81.05% while IRN and RGI gives accuracy values of 76.13%, and 79.81%, respectively.
- Published
- 2020
- Full Text
- View/download PDF
29. A FRAMEWORK TO EXTRACT STRUCTURAL ELEMENTS OF CONSTRUCTION SITE FROM LASER SCANNING
- Author
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L. Truong-Hong and R. C. Lindenbergh
- Subjects
Technology ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Applied optics. Photonics ,TA1501-1820 - Abstract
This paper proposes a framework to automatic extract structural elements of reinforced concrete buildings from laser scanning data, which can be used in dimensional quality control and surface defect identification. The framework deploys both spatial information of a point cloud and contextual knowledge of building structures to extract the structural elements in a sequential order: floors and ceilings, walls, columns and beams. The method starts to extract a subset data containing candidate points of the structural elements and segmentation methods and filtered based contextual knowledge subsequently apply to obtain the final points of the elements. In this framework, a combination between kernel density estimation and a cell-patch-based region growing are to extract the floors, ceilings and walls, while the points of the columns and beams are achieved through a voxel-based region growing. 23.5 million data points of one story of the building is used to test a performance of the proposed framework. Results showed all structural components are successfully extracted. Moreover, completeness, correctness, and quality indicated through point-based performance report larger than 96.0%, 96.9% and 93.0%, respectively while overlap rates of the floors, ceilings and walls are no less than 95.3%. Interestingly, an executing time of the proposed method is about 7.7seconds per a million point.
- Published
- 2020
- Full Text
- View/download PDF
30. The monoplace hyperbaric chamber and management of decompression illness
- Author
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R C, Li
- Subjects
Adult ,Male ,Hyperbaric Oxygenation ,Treatment Outcome ,Equipment Safety ,Hong Kong ,Humans ,Equipment Design ,Decompression Sickness ,Risk Assessment ,Severity of Illness Index ,Follow-Up Studies - Abstract
Three cases of decompression illness are reported. Two patients presented with joint pain and skin signs, while one patient presented with joint pain and neurological signs and symptoms. The patients received emergency recompression therapy in a Hong Kong clinic, using a monoplace hyperbaric chamber. All three patients were treated successfully and no residual signs or symptoms were evident on review at 90 days' post-treatment. Issues concerning the use of monoplace and multiplace hyperbaric chambers are also discussed, along with additional clinical applications of the monoplace hyperbaric chamber.
- Published
- 2002
31. Triterpene antioxidants from ganoderma lucidum
- Author
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M, Zhu, Q, Chang, L K, Wong, F S, Chong, and R C, Li
- Subjects
Reishi ,Plant Extracts ,Erythrocyte Membrane ,Ascorbic Acid ,Pyrogallol ,Antioxidants ,Triterpenes ,Rats ,Rats, Sprague-Dawley ,Animals ,Hong Kong ,Ferrous Compounds ,Lipid Peroxidation ,Oxidation-Reduction ,Drugs, Chinese Herbal - Abstract
Ganoderma lucidum was studied for its antioxidative activity by bioassay guided isolation in conjunction with in vitro tests. The powdered crude drug was treated with boiling water and the aqueous extract (Ex1) was further separated to obtain terpene and polysaccharide fractions. The two fractions and Ex1 were screened for their antioxidative effect against pyrogallol induced erythrocyte membrane oxidation and Fe (II)-ascorbic acid induced lipid peroxidation. All tested samples showed antioxidative activities in a dose dependent manner and the terpene fraction was found to possess the highest effect compared with the others. Chemical isolation of the terpene fraction resulted in the detection of ganoderic acids A, B, C and D, lucidenic acid B and ganodermanontriol as major ingredients.
- Published
- 1999
32. CLS advanced degrees and career enhancement. Part 2--A comparison of perceptions
- Author
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R C, Li, W N, Bigler, L L, Blackwood, C, Venable, J P, Fenn, R S, Lambrecht, L E, Miller, and S H, Summers
- Subjects
Male ,Motivation ,Certification ,Attitude of Health Personnel ,Clinical Laboratory Techniques ,Personal Satisfaction ,Self Concept ,United States ,Career Mobility ,Professional Competence ,Surveys and Questionnaires ,Medical Laboratory Personnel ,Humans ,Female ,Education, Graduate - Abstract
To determine whether recipients of clinical laboratory science (CLS) advanced degrees (MS) perceive greater career enhancement value related to earning an advanced degree than is perceived by their baccalaureate level (BS) colleagues.Two questionnaires were used-one for certified or licensed CLS professionals who had earned MS CLS degrees; the other for matched BS CLS colleagues.Five academic programs that conduct both National Accrediting Agency for Clinical Laboratory Sciences accredited CLS education and CLS MS degree programs participated.The number of survey respondents was 220 (117-MS; 103-BS level controls). The groups were matched for gender, residence region, and years of experience.The primary outcome measurements were the perceived benefits of having a CLS MS degree, the reasons for and against obtaining a CLS MS degree, and the overall evaluation of CLS degree programs at both levels.The highest perceived benefit of having a CLS MS degree was the same in both groups, "enhanced self esteem and confidence". The highest priority motivation of MS degree recipients for obtaining a CLS advanced degree was "personal satisfaction". The highest priority reason of the BS group for not obtaining a CLS advanced degree was "family obligation". In both levels of degree programs the subject most commonly cited as needing modification was laboratory management.The results indicate that CLS professionals who have CLS MS degrees perceive a greater career enhancement value of advanced CLS degrees than their BS level colleagues.
- Published
- 1997
33. CLS advanced degrees and career enhancement. Part 1--Comparison of career data
- Author
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R C, Li, W N, Bigler, L L, Blackwood, C, Venable, J P, Fenn, R S, Lambrecht, L E, Miller, and S H, Summers
- Subjects
Male ,Career Mobility ,Certification ,Job Description ,Clinical Laboratory Techniques ,Salaries and Fringe Benefits ,Surveys and Questionnaires ,Humans ,Female ,Education, Graduate ,United States - Abstract
Determine whether recipients of clinical laboratory science (CLS) advanced degrees (MS) experience greater career achievements than their baccalaureate level (BS) colleagues.Two similar questionnaires were used-one for certified or licensed CLS professionals who had earned advanced CLS degrees (MS); the other for matched BS CLS colleagues.Five academic programs that conduct both National Accrediting Agency for Clinical Laboratory Sciences accredited CLS education and CLS MS degree programs participated.The number of survey respondents was 220, 117 with advanced CLS degrees and 103 BS level controls. There were 99 matched pairs, i.e., 198 individuals were matched for gender, residence region, and years of experience.Careers of BS vs. MS respondents were statistically compared, e.g., fractions with managerial level jobs, relative earnings increases per year, numbers of publications and reports, and other professional contributions.Compared to their BS degree controls, MS degree respondents had more managerial level jobs (62% MS; 36% BS), a higher frequency of job change (once per 4.3 years MS; once per 5.9 years BS), and a higher increase per year of earnings (9.1% MS; 8.1% BS). A greater percentage of the MS degree graduates (77%) than the BS level controls (33%) had authored external publications; the responses related to authorship of institutional reports and procedures were less different-84% MS and 64% BS. Professional contributions to their institutions or profession were cited slightly more frequently by the MS graduates (65%) than by the BS level controls (55%).Compared to their matched BS level CLS colleagues, CLS MS degree recipients had greater job mobility, greater management authority, higher salary, and more numerous professional contributions.
- Published
- 1997
34. In vitro models for prediction of antimicrobial activity: a pharmacokinetic and pharmacodynamic perspective
- Author
-
R C, Li and Z Y, Zhu
- Subjects
Predictive Value of Tests ,Microbial Sensitivity Tests ,Anti-Bacterial Agents - Abstract
The endpoints associated with conventional susceptibility testing, e.g., the minimum inhibitory concentration or minimum bactericidal concentration (MIC or MBC), are discrete in nature. These endpoint measurements do not provide any information, regarding the pharmacodynamic changes exhibited by the bacteria in reaction to the antibiotic activity during the incubation period. Another limitation of these susceptibility tests is the maintenance of constant antibiotic concentrations; this condition contrasts sharply to the continuously changing concentrations observed in vivo. To tackle these problems, various in vitro pharmacokinetic/pharmacodynamic models have been developed. Taking into consideration various pharmacokinetic determinants, such models allow more comprehensive study of the pharmacodynamic effects demonstrated by antibiotics. In this paper, the implications and usefulness of these in vitro models to the characterization of antimicrobial activity are discussed. Limitations associated with their use are also addressed.
- Published
- 1997
35. Mechanistic investigation of the reduction in antimicrobial activity of ciprofloxacin by metal cations
- Author
-
H H, Ma, F C, Chiu, and R C, Li
- Subjects
Kinetics ,Manganese ,Time Factors ,Anti-Infective Agents ,Ciprofloxacin ,Metals ,Cations ,Escherichia coli ,Magnesium ,Chromatography, High Pressure Liquid ,Aluminum ,Chelating Agents - Published
- 1997
36. The chirality selectivity in the uptake of platinum (II) complexes with 1,2-cyclohexanediamine isomers as carrier ligand by human erythrocytes
- Author
-
J, Zou, X G, Yang, R C, Li, J F, Lu, and K, Wang
- Subjects
Cyclohexylamines ,Drug Carriers ,Cell Membrane Permeability ,Erythrocytes ,Organoplatinum Compounds ,Protein Conformation ,Molecular Conformation ,Humans ,Membrane Proteins - Abstract
The uptake kinetics of cisplatin analogs of 1,2-cyclohexanediamine(dach) isomers with various leaving groups, by human erythrocytes in plasma isotonic buffer, were studied. The experimental results showed that the uptake rate constants (k values) decrease with the change of leaving group in the sequence: chloride (Cl)squaric acid (SA)oxalate (OX)demethylcantharic acid (DA), with the same dach isomer as carrier group. It is noteworthy that for the platinum (II) complexes with the same leaving group, the k values always reduce as: 1R, 2R-dach1R, 2S-dach1S, 2S-dach. This result reflects the chirality selectivity. No differences in reactivity to protein thiols and effects on membrane permeability were found for the R,R-, R,S-, S,S-isomeric complexes. It is proposed that the chirality selectivity in uptake is due to the recognition of the chirality of the platinum complexes by the erythrocyte membrane. The interactions between the chiral platinum complexes and the head groups of the membrane phospholipid molecules are probably involved.
- Published
- 1997
37. Expression and prognostic value of proliferating cell nuclear antigen in transitional cell carcinoma of the urinary bladder
- Author
-
R. C. Li, M. S. Lin, and G. Chen
- Subjects
Nephrology ,Adult ,Male ,medicine.medical_specialty ,Pathology ,medicine.drug_class ,Urology ,Monoclonal antibody ,Predictive Value of Tests ,Internal medicine ,Proliferating Cell Nuclear Antigen ,medicine ,Humans ,Stage (cooking) ,Survival rate ,Aged ,Retrospective Studies ,Aged, 80 and over ,Carcinoma, Transitional Cell ,Bladder cancer ,Urinary bladder ,biology ,Middle Aged ,medicine.disease ,Prognosis ,Immunohistochemistry ,Proliferating cell nuclear antigen ,Survival Rate ,Transitional cell carcinoma ,medicine.anatomical_structure ,Urinary Bladder Neoplasms ,biology.protein ,Female ,Neoplasm Recurrence, Local - Abstract
Forty-eight patients with transitional cell carcinima (TCC) of the bladder were investigated. Routine paraffin-embedded sections were stained with proliferating cell nuclear antigen (PCNA) monoclonal antibody in order to determine the growth fraction of the bladder tumors and to correlate this with tumor grade, stage, development of recurrence and survival rate during follow-up. PCNA positive staining was detected in 95.8% (46/48) of the tumors. The mean labeling index (LI) of superficial tumors (Ta-1, n = 28) was 12.58 +/- 12.33%, and 34.55 +/- 21.89% in invasive tumors (T2-4, n = 18). A similar correlation was found in association with tumor grade. The patients were followed up for a mean of 4.9 years (range 1-14 years). The mean PCNA LI in nonrecurrent (n = 21) and simple recurrent (n = 7) superficial tumors was 11.29 +/- 11.79% and 16.44 +/- 14.05%, respectively, the difference not being statistically significant. To access survival, tumors with a PCNA LI above and below the median level (21%) were compared. Those patients (n = 19) with an index of21% (the mean of all the PCNA values) had a worse prognosis than those (n = 27) with an index of21%, a difference which is statistically significant. These results suggest that PCNA LI in bladder cancer may prove to be an objective and quantitative assay of biological aggressiveness and provide significant prognostic information, although it does not help the selection of patients at risk of simple recurrence in superficial tumors.
- Published
- 1997
38. Isokinetic strength of the quadriceps and hamstrings and functional ability of anterior cruciate deficient knees in recreational athletes
- Author
-
Y C Hsu, N Maffulli, K M Chan, and R C Li
- Subjects
Adult ,Male ,medicine.medical_specialty ,Anterior cruciate ligament ,Quadriceps strength ,Isokinetic strength ,Physical Therapy, Sports Therapy and Rehabilitation ,Knee Injuries ,Thigh ,Physical medicine and rehabilitation ,medicine ,Humans ,Orthopedics and Sports Medicine ,Rating system ,Functional ability ,Muscle, Skeletal ,biology ,Athletes ,business.industry ,Anterior Cruciate Ligament Injuries ,General Medicine ,biology.organism_classification ,musculoskeletal system ,medicine.anatomical_structure ,Athletic Injuries ,Physical therapy ,Female ,business ,human activities ,Hamstring ,Research Article - Abstract
OBJECTIVE: To test the hypothesis that increasing the hamstrings and quadriceps (H:Q) isokinetic strength ratio will, in the short term, improve the functional ability of an anterior cruciate ligament (ACL) deficient knee. METHODS: The isokinetic muscular characteristics at a speed of 60 degrees s-1 and 180 degrees s-1 of 46 recreational athletes with an arthroscopically confirmed ACL tear were determined using the Cybex II+ isokinetic dynamometer. The variables tested included peak torque, endurance ratio, total work output, and explosive power. Functional ability was scored with the Cincinnati rating system, measuring the severity of pain and swelling, the degree of giving way, and the overall ability to walk, run, ascent and descent stairs, jump and twist. RESULTS: Among all muscular characteristics, the H:Q ratio at 180 degrees s-1 at 30 degrees of knee flexion was shown to have the highest correlation to the functional score (r = 0.6249, P < 0.001). All variables involving hamstring strength were shown to be significantly correlated to the functional ability score (P < 0.01), while none of the variables involving quadriceps strength showed significant correlation with the functional ability of the injured knee. CONCLUSIONS: The H:Q ratio is strongly correlated to the functional ability of ACL deficient knees in Chinese recreational athletes. It could be used as an additional measure to guide in the decision making process in the management of ACL deficient knees.
- Published
- 1996
39. A model based assessment of redistribution dependent elimination and bioavailability of rifabutin
- Author
-
R C, Li, P K, Narang, I, Poggesi, and M, Strolin-Benedetti
- Subjects
Adult ,Male ,Rifabutin ,Administration, Oral ,Humans ,HIV Infections ,Anti-Bacterial Agents ,Mycobacterium avium-intracellulare Infection - Abstract
The autoinduction characteristic of rifabutin (RIF) following multiple oral dosing was investigated via pharmacokinetic modeling. A two-compartment model with first-order absorption was fit to plasma RIF data obtained from a study conducted in healthy normal volunteers following both a single and multiple oral doses. Parameter estimates showed an elimination rate constant (k10) of about 0.12-0.14 h-1 which was independent of the single or multiple-dosing condition. The lower-than-expected drug accumulation following multiple dosing seems to suggest that prolonged dosing perturbs the linear kinetic system. However, this analysis has shown no significant changes (p0.05) in the rate constants describing RIF absorption, tissue distribution/redistribution, and elimination. The mean rate of drug redistribution from the tissue compartment (k21; 0.04-0.06 h-1) was twofold to threefold lower than k10, and, with a large steady-state distribution volume (Vss/F after a single dose, 1630 L), RIF elimination appears to be dependent on drug redistribution. This hypothesis was further supported by a significant correlation (p0.01) between RIF tissue redistribution (k21) and terminal disposition phase rate (lambda z) constants. The redistribution dependent elimination of RIF also helps explain the stability of the terminal half-life under both single and multiple-dosing paradigms. Urinary excretion of RIF and its 25-O-deacetyl metabolite totalled less than 7% of the oral dose following single dosing, and decreased to about 4% after multiple dosing. For individual patients, the decrease in urinary recovery of the 25-O-deacetyl metabolite was directly proportional to the decrease in urinary RIF recovery. In addition, both estimates of the model intercepts (A and B) were lower following multiple dosing. Further analyses revealed a linear relationship between A and B intercepts, and also between the urinary RIF recovery and the B intercept. These relationships, in conjunction with the lack of significant increase in the rate of elimination, indicate that induction of presystemic extrahepatic metabolism and/or decrease in the extent of oral absorption may be the primary causes for the lower-than-expected systemic RIF plasma levels after multiple oral dosing.
- Published
- 1996
40. A phase I evaluation of concomitant rifabutin and didanosine in symptomatic HIV-infected patients
- Author
-
J, Sahai, P K, Narang, N, Hawley-Foss, R C, Li, M, Kamal, and D W, Cameron
- Subjects
Adult ,Male ,Didanosine ,Rifabutin ,Biological Availability ,Humans ,Drug Interactions ,Drug Therapy, Combination ,Female ,HIV Infections ,Middle Aged - Abstract
It has been suggested that didanosine (ddI) may undergo hepatic metabolism. Rifabutin is an inducer of drug metabolism. Fifteen human immunodeficiency virus-infected patients whose conditions were stabilized on twice-daily doses of ddI participated in a Phase I, open-label, pharmacokinetic and safety drug interaction study between rifabutin and ddI. Twelve patients completed the study. All patients received their regular ddI dose (167-375 mg) on day 1. On days 2-13 they received once-daily rifabutin (600 mg, three patients; 300 mg, nine patients) with their regular twice-daily ddI regimen. On days 14-16 they received rifabutin alone. Serial blood and urine samples were collected for 12 h on day 1 and for 24 h on days 13 and 16, and safety evaluations were made throughout the study. Average day 1/day 13 ddI pharmacokinetic ratios and 95% confidence interval values for Cmax, AUC0-infinity, Cls/F, and t 1/2, lambda z were 1.17 (0.96-1.38), 1.13 (0.99-1.27), 0.91 (0.81-1.01), and 0.97 (0.79-1.15), respectively (p0.05 for all comparisons; paired t test). A 20% difference in AUC0-infinity could be detected with 90% power. Also, there were no significant changes in laboratory values or electrocardiograms, or in rifabutin pharmacokinetic parameters when the two agents were coadministered. Based on the safety and pharmacokinetic assessments, rifabutin did not appear to interact with ddI.
- Published
- 1995
41. Cardiorespiratory fitness and isokinetic muscle strength of elite Asian junior soccer players
- Author
-
M K, Chin, R C, So, Y W, Yuan, R C, Li, and A S, Wong
- Subjects
China ,Adolescent ,Anaerobic Threshold ,Body Weight ,Vital Capacity ,Heart ,Tendons ,Oxygen Consumption ,Adipose Tissue ,Physical Fitness ,Forced Expiratory Volume ,Soccer ,Body Composition ,Hong Kong ,Humans ,Knee ,Muscle, Skeletal ,Lung ,Muscle Contraction - Abstract
There is a scarcity of descriptive data on the physiological characteristics of elite Asian junior soccer players. The purpose of this study was to evaluate the cardiorespiratory fitness and isokinetic muscle strength of elite junior soccer players in Hong Kong. It was conducted in conjunction with the selection of the Hong Kong team to the 1989 Gothia Cup held in Sweden. Twenty-one top junior soccer players were selected as subjects for the study. The following means (+/- SD) were observed: age 17.3 +/- 1.1 years; height 172.5 +/- 6.2 cm; weight 62.8 +/- 7.0 kg; body fat 5.2 +/- 1.8%; forced vital capacity (FVC) 4.6 +/- 0.6 L; maximum oxygen uptake (VO2max) 58.6 +/- 2.9 ml.kg-1.min-1; anaerobic threshold (AT) 76.7 +/- 10.2% of VO2max; peak isokinetic dominant knee extensor and flexor strengths 3.28 +/- 0.37 Nm.kg-1 and 1.84 +/- 0.24 Nm.kg-1; hamstring to quadriceps peak torque ratio (H/Q) 56 +/- 0.6% measured at 60 degrees s-1. Hong Kong players appeared to have comparable aerobic power, light body weight, poor flexibility and above average isokinetic muscle strength compared to other international junior soccer players. Training programs to improve the contralateral knee muscle imbalance and to increase the fast speed movement capability of the non-dominant knee flexors are recommended.
- Published
- 1994
42. Interaction between ciprofloxacin and metal cations: its influence on physicochemical characteristics and antibacterial activity
- Author
-
R C, Li, D E, Nix, and J J, Schentag
- Subjects
Bacteria ,Chemical Phenomena ,Chemistry, Physical ,Ciprofloxacin ,Cations ,Pseudomonas aeruginosa ,Escherichia coli ,Microbial Sensitivity Tests ,Chelating Agents - Published
- 1994
43. New turbidimetric assay for quantitation of viable bacterial densities
- Author
-
David E. Nix, R C Li, and Jerome J. Schentag
- Subjects
Pharmacology ,Reproducibility ,Chromatography ,Time Factors ,Research system ,Lactams ,Chemistry ,Microbial Sensitivity Tests ,Bacterial growth ,medicine.disease_cause ,Anti-Bacterial Agents ,Standard curve ,Infectious Diseases ,Nephelometry and Turbidimetry ,medicine ,Escherichia coli ,Pharmacology (medical) ,Turbidimetry ,Quantitative analysis (chemistry) ,Antibacterial agent ,Research Article - Abstract
A turbidimetric assay was developed and validated against Escherichia coli for the quantitation of viable bacterial densities. The Abbott MS-2 research system was employed for continuous 5-min measurements of optical density. A linear standard curve was obtained by regressing the initial bacterial density (log CFU per milliliter) against the time required for bacterial growth causing a 5% decrease in optical transmittance. Slope and intercept values obtained from eight standard curves showed excellent assay reproducibility. Results obtained by the turbidimetric assay compared favorably to those obtained by the conventional pour plate assay. Prior to the application of the new assay, possible interferences of postantibiotic effect induced by the test antibiotics were excluded. The turbidimetric assay, which is presumably more efficient and less expensive, was implemented for the time-kill studies of three different beta-lactams against E. coli.
- Published
- 1993
44. MOBILE LASER SCAN DATA FOR ROAD SURFACE DAMAGE DETECTION
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B. B. van der Horst, R. C. Lindenbergh, and S. W. J. Puister
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Technology ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Applied optics. Photonics ,TA1501-1820 - Abstract
Road surface anomalies affect driving conditions, such as driving comfort and safety. Examples for such anomalies are potholes, cracks and ravelling. Automatic detection and localisation of these anomalies can be used for targeted road maintenance. Currently road damage is detected by road inspectors who drive slowly on the road to look out for surface anomalies, which can be dangerous. For improving the safety road inspectors can evaluate road images. However, results may be different as this evaluation is subjective. In this research a method is created for detecting road damage by using mobile profile laser scan data. First features are created, based on a sliding window. Then K-means clustering is used to create training data for a Random Forest algorithm. Finally, mathematical morphological operations are used to clean the data and connect the damage points. The result is an objective and detailed damage classification. The method is tested on a 120 meters long road data set that includes different types of damage. Validation is done by comparing the results to a classification of a human road inspector. However, the damage classification of the proposed method contains more details which makes validation difficult. Nevertheless does this method result in 79% overlap with the validation data. Although the results are already promising, developments such as pre-processing the data could lead to improvements.
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- 2019
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45. FULLY CONVOLUTIONAL NETWORKS FOR STREET FURNITURE IDENTIFICATION IN PANORAMA IMAGES
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Y. Ao, J. Wang, M. Zhou, R. C. Lindenbergh, and M. Y. Yang
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Technology ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Applied optics. Photonics ,TA1501-1820 - Abstract
Panoramic images are widely used in many scenes, especially in virtual reality and street view capture. However, they are new for street furniture identification which is usually based on mobile laser scanning point cloud data or conventional 2D images. This study proposes to perform semantic segmentation on panoramic images and transformed images to separate light poles and traffic signs from background implemented by pre-trained Fully Convolutional Networks (FCN). FCN is the most important model for deep learning applied on semantic segmentation for its end to end training process and pixel-wise prediction. In this study, we use FCN-8s model that pre-trained on cityscape dataset and finetune it by our own data. The results show that in both pre-trained model and fine-tuning, transformed images have better prediction results than panoramic images.
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- 2019
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46. AN IMPROVED COHERENT POINT DRIFT METHOD FOR TLS POINT CLOUD REGISTRATION OF COMPLEX SCENES
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Y. Zang and R. C. Lindenbergh
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Technology ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Applied optics. Photonics ,TA1501-1820 - Abstract
Processing unorganized 3D point clouds is highly desirable, especially for the applications in complex scenes (such as: mountainous or vegetation areas). Registration is the precondition to obtain complete surface information of complex scenes. However, for complex environment, the automatic registration of TLS point clouds is still a challenging problem. In this research, we propose an automatic registration for TLS point clouds of complex scenes based on coherent point drift (CPD) algorithm combined with a robust covariance descriptor. Out method consists of three steps: the construction of the covariance descriptor, uniform sampling of point clouds, and CPD optimization procedures based on Expectation-Maximization (EM algorithm). In the first step, we calculate a feature vector to construct a covariance matrix for each point based on the estimated normal vectors. In the subsequent step, to ensure efficiency, we use uniform sampling to obtain a small point set from the original TLS data. Finally, we form an objective function combining the geometric information described by the proposed descriptor, and optimize the transformation iteratively by maximizing the likelihood function. The experimental results on the TLS datasets of various scenes demonstrate the reliability and efficiency of the proposed method. Especially for complex environments with disordered vegetation or point density variations, this method can be much more efficient than original CPD algorithm.
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- 2019
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47. AUTOMATIC DETECTION OF ROAD EDGES FROM AERIAL LASER SCANNING DATA
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L. Truong-Hong, D. F. Laefer, and R. C. Lindenbergh
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Technology ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Applied optics. Photonics ,TA1501-1820 - Abstract
When aerial laser scanning (ALS) is deployed with targeted flight path planning, urban scenes can be captured in points clouds with both high vertical and horizontal densities to support a new generation of urban analysis and applications. As an example, this paper proposes a hierarchical method to automatically extract data points describing road edges, which are then used for reconstructing road edges and identifying accessible passage areas. The proposed approach is a cell-based method consisting of 3 main steps: (1) filtering rough ground points, (2) extracting cells containing data points of the road curb, and (3) eliminating incorrect road curb segments. The method was tested on a pair of 100 m × 100 m tiles of ALS data of Dublin Ireland’s city center with a horizontal point density of about 325 points/m2. Results showed the data points of the road edges to be extracted properly for locations appearing as the road edges with the average distance errors of 0.07 m and the ratio between the extracted road edges and the ground truth by 73.2%.
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- 2019
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48. HIGH-FREQUENCY 3D GEOMORPHIC OBSERVATION USING HOURLY TERRESTRIAL LASER SCANNING DATA OF A SANDY BEACH
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K. Anders, R. C. Lindenbergh, S. E. Vos, H. Mara, S. de Vries, and B. Höfle
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Technology ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Applied optics. Photonics ,TA1501-1820 - Abstract
Geomorphic processes occur spatially variable and at varying magnitudes, frequencies and velocities, which poses a great challenge to current methods of topographic change analysis. For the quantification of surface change, permanent terrestrial laser scanning (TLS) can generate time series of 3D point clouds at high temporal and spatial resolution. We investigate how the temporal interval influences volume change observed on a sandy beach regarding the temporal detail of the change process and the total volume budget, on which accretion and erosion counteract. We use an hourly time series of TLS point clouds acquired over six weeks in Kijkduin, the Netherlands. A raster-based approach of elevation differencing provides the volume change over time per square meter. We compare the hourly analysis to results of a three- and six-week observation period. For the larger period, a volume increase of 0.3 m3/ m2 is missed on a forming sand bar before it disappears, which corresponds to half its volume. Generally, a strong relationship is shown between observation interval and observed volume change. An increase from weekly to daily observations leads to a five times larger volume change quantified in total. Another important finding is a temporally variable measurement uncertainty in the 3D time series, which follows the daily course of air temperature. Further experiments are required to fully understand the effect of atmospheric conditions on high-frequency TLS acquisition in beach environments. Continued research of 4D geospatial analysis methods will enable automatic identification of dynamic change and improve the understanding of geomorphic processes.
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- 2019
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49. EXTRACTION OF BUILDING ROOF EDGES FROM LIDAR DATA TO OPTIMIZE THE DIGITAL SURFACE MODEL FOR TRUE ORTHOPHOTO GENERATION
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E. Widyaningrum, R. C. Lindenbergh, B. G. H. Gorte, and K. Zhou
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Technology ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Applied optics. Photonics ,TA1501-1820 - Abstract
Various kinds of urban applications require true orthophotos. True orthophoto generation requires a DSM (Digital Surface Model) to project the photo orthogonally and minimize geometric distortion due to topographic variance. DSMs are often generated from airborne laser scan data. In urban scenes, DSM data may fail to deliver sharp and straight building roof edges. This will affect the quality of the resulting orthophotos. Therefore, it is necessary to incorporate good quality building outlines as breaklines during DSM interpolation. This study proposes a data-driven approach to construct building roof outlines from LiDAR point clouds by a workflow consisting of the following steps: given roof segments, roof boundary points are extracted using a concave hull algorithm. Straight edges may be difficult to find in complex roof configurations. Therefore, two ingredients are combined. First, RanSAC corner point preselection, and second, DBSCAN-based clustering of edge points. The method is demonstrated on an area of ±1.2 km2 containing 42 buildings of different characteristics. A quality assessment shows that the proposed method is able to deliver 92 % of building lines with acceptable geometric accuracy in comparison to a building line in the base map.
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- 2018
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50. INFLUENCE OF DOMAIN SHIFT FACTORS ON DEEP SEGMENTATION OF THE DRIVABLE PATH OF AN AUTONOMOUS VEHICLE
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R. P. A. Bormans, R. C. Lindenbergh, and F. Karimi Nejadasl
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Technology ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Applied optics. Photonics ,TA1501-1820 - Abstract
One of the biggest challenges for an autonomous vehicle (and hence the WEpod) is to see the world as humans would see it. This understanding is the base for a successful and reliable future of autonomous vehicles. Real-world data and semantic segmentation generally are used to achieve full understanding of its surroundings. However, deploying a pretrained segmentation network to a new, previously unseen domain will not attain similar performance as it would on the domain where it is trained on due to the differences between the domains. Although research is done concerning the mitigation of this domain shift, the factors that cause these differences are not yet fully explored. We filled this gap with the investigation of several factors. A base network was created by a two-step finetuning procedure on a convolutional neural network (SegNet) which is pretrained on CityScapes (a dataset for semantic segmentation). The first tuning step is based on RobotCar (road scenery dataset recorded in Oxford, UK) while afterwards this network is fine-tuned for a second time but now on the KITTI (road scenery dataset recorded in Germany) dataset. With this base, experiments are used to obtain the importance of factors such as horizon line, colour and training order for a successful domain adaptation. In this case the domain adaptation is from the KITTI and RobotCar domain to the WEpod domain. For evaluation, groundtruth labels are created in a weakly-supervised setting. Negative influence was obtained for training on greyscale images instead of RGB images. This resulted in drops of IoU values up to 23.9 % for WEpod test images. The training order is a main contributor for domain adaptation with an increase in IoU of 4.7 %. This shows that the target domain (WEpod) is more closely related to RobotCar than to KITTI.
- Published
- 2018
- Full Text
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