Academic literature on the topic 'Scattergram'

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Journal articles on the topic "Scattergram"

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Ranoko, Merylin, Aryati Aryati, and Arifoel Hajat. "CORRELATION BETWEEN WDF, WNR, AND RET ABNORMAL SCATTERGRAM DETECTED BY SYSMEX XN-1000 AND PARASITEMIA OF MALARIA PATIENTS IN MERAUKE HOSPITAL." INDONESIAN JOURNAL OF CLINICAL PATHOLOGY AND MEDICAL LABORATORY 26, no. 1 (November 22, 2019): 91. http://dx.doi.org/10.24293/ijcpml.v26i1.1521.

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Malaria remains a health problem in Indonesia. Microscopic examination with Giemsa staining is the gold standard for diagnosing malaria. The density of parasites correlates with the degree of severity and response to therapy of malaria. Malaria-causing plasmodium can be detected by Sysmex XN-1000 which is marked by abnormalities in the WDF, WNR and RET scattergram. This research aimed to determine the correlation of WDF, WNR and RET abnormal scattergram detected by Sysmex XN-1000 and the parasitemia index of malaria at the Merauke General Hospital. This was a cross-sectional study with observational approach conducted between November 2017 – February 2018 at the Merauke General Hospital. Positive malaria samples were stained with Giemsa, their parasitemia index was calculated, routine complete blood count using Sysmex XN-1000 was performed, and the scattergram abnormalities were then analyzed. There were 65 positive malaria samples as follows: P.falciparum (35%), P.vivax (60%), P.ovale (3.1%), and P.malariae (1.5%), but the species did not correlate with parasitemic index (p=0.691). Abnormalities of WDF and WNR scattergram were predominantly found than RET scattergram (80% vs. 27.7%). P.vivax predominantly caused abnormalities of the WDF and WNR scattergram in 36 of 39 samples (92.3%), whereas P.falciparum predominantly caused abnomalities of the RET scattergram in 14 of 23 samples (60.9%). There was 95% positivity of an abnormality in WDF/WNR/RET scattergram with a cut-off of > 5,0165.5/µL. There was correlation between WDF, WNR, RET scattergram detected by Sysmex XN-1000 and the parasitemia index.
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Bute, Rajeshwar Suresh, Bhavana Madhukar Bharambe, Ravikiran Pawar, and Asawari Bharat Jadhav. "Abnormal WBC Scattergrams by Sysmex XN550, A Supplementary Diagnostic Tool for Malaria to the Conventional Methods." Annals of Pathology and Laboratory Medicine 8, no. 1 (January 30, 2021): A14–19. http://dx.doi.org/10.21276/apalm.2975.

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Background: In India, malaria has a major impact on health system. It is usually diagnosed based on symptomatology, parasite detection in the peripheral smear (PS) or rapid diagnostic tests (RDT) such as malaria antigen test (MAT). Detection of malaria by MAT is considered as the gold standard. A rapid, cost effective screening of malaria can be done with the automated analyzers. The present study was undertaken to assess the efficacy of WBC scattergram generated by Sysmex XN 550 hematology analyzer to diagnose malaria. Methods: A prospective study was conducted over a period of 4 months from August to November 2019, after obtaining institutional ethical clearance. All cases diagnosed as Plasmodium vivax / Plasmodium falciparum infections on malaria antigen test (MAT) were included. Their hemogram and WBC scattergrams obtained from Sysmex XN 550 were studied. Thick & thin Smears were made and stained with Leishman’s stain for microscopy. Results: A total of 101 cases were diagnosed as malaria positive by MAT and thick smear. Ninety-seven were positive by Leishman’s stain. Abnormal scattergrams were 81 out of 101 malaria positive cases. The commonest pattern was double neutrophil zone (n=22) followed by double neutrophil with less space between neutrophil and eosinophil (n=17). An abnormal event on X axis was observed in 16 patients. Gray zone and double eosinophil areas were observed in 11 and 4 cases respectively. The sensitivity of the analyzer was found to be 80.19%. Conclusion: Scattergram of automated haematology analyser (Sysmex XN 550) has good sensitivity, which can be increased to a better level if combined with thrombocytopenia and symptomatology of the patients.
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Dyatmika, Haris Suka, and Liana Fibriawati. "ANALYSIS OF SCENE COMPATIBILITIES FOR MOSAIC OF LANDSAT 8 MULTI-TEMPORAL IMAGES BASED ON RADIOMETRIC PARAMETER." International Journal of Remote Sensing and Earth Sciences (IJReSES) 13, no. 1 (June 21, 2017): 9. http://dx.doi.org/10.30536/j.ijreses.2016.v13.a2713.

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Cloud free mosaic simplified the remote sensing imagery. Multi-temporal image mosaic needed to make a cloud free mosaic i.e. in the area covered by cloud throughout year like Indonesia. One of the satellite imagery that was widely used for various purposes was Landsat 8 image due to the temporal, spatial and spectral resolution which was suitable for many utilization themes. Landsat 8 could be used for multi-temporal image mosaic of the entire region in Indonesia. Landsat 8 had 16 days temporal resolution which allowed a region (scene image) acquired in a several times one year. However, not all the acquired Landsat 8 scene was proper when used for multi-temporal mosaic. The purpose of this work was observing radiometric parameters for scene selection method so a good multi-temporal mosaic image could be generated and more efficient processing. This study analyzed the relationship between radiometric parameters from image i.e. histogram and Scattergram with scene selection for multi-temporal mosaic purposes. Histogram and Scattergram representing radiometric imagery context such as mean, standard deviation, median and mode which was displayed visually. The data used were Landsat 8 imagery with the Area of Interest (AOI) in Kalimantan and Lombok. Then the histogram and Scattergram of the image AOI was analyzed. From the histogram and Scattergram analysis could be obtained that less shift between the data’s histogram and the more Scattergram forming 45 degree angle for distribution of the data then indicated more similar to radiometric of the image.
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Jain, Rubal, Ujjawal Khurana, Bhavna Dhingra Bhan, Garima Goel, and Neelkamal Kapoor. "Mucopolysaccharidosis: A case report highlighting hematological aspects of the disease." Journal of Laboratory Physicians 11, no. 01 (January 2019): 097–99. http://dx.doi.org/10.4103/jlp.jlp_126_18.

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AbstractA 1½-year-old female child presented with swelling in thoracolumbar region and delayed developmental milestones. The routine hemogram analysis on Sysmex XN 1000 showed flags of white blood cell (WBC) abnormal scattergram and lymphocytosis. The peripheral smear examination showed Alder–Reilly (AR) granules leading to a suspicion of underlying Mucopolysaccharidosis (MPS). Further clinical workup, radiographic studies, chemical test lead to the confirmatory diagnosis of MPS. A flag of abnormal WBC scattergram and AR anomaly are the hematological findings that can be seen in a case of MPS.
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Tabe, Yoko, Hiroyuki Takemura, Konobu Kimura, Aya Konishi, Takashi Horii, Takashi Miida, and Akimichi Ohsaka. "Novel Flowcytometry-Based Approach for Detection of Tumor Cells in Body Fluid Using Automated Hematology Analyzer." Blood 126, no. 23 (December 3, 2015): 5600. http://dx.doi.org/10.1182/blood.v126.23.5600.5600.

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Abstract Introduction: Nucleated cells differential analysis of body fluid (BF) samples is important diagnostic tool for several diseases including cancer metastasis. Detection of tumor cells in BF requires the manual morphological scanning of slides by the cytopathologists, which is time-consuming, labor-intensive and not always reliable because of a relatively low overall sensitivity rates (ranging 40-90%) with the higher false-negative rates for lymphomas and mesotheliomas. This study aimed to develop the scattergram gating analysis for detection of tumor cells in BF using the automated hematology analyzer Sysmex XN-1000 (Sysmex, Kobe, Japan). Methods: We used a total of 220 BF samples (53 cerebrospinal fluids, 73 pleural or ascitic fluids, and 94 peritoneal dialysis effluent) obtained from patients with cytological diagnoses (papanicolaou stain) including negative and positive of tumor cells, and chronic inflammation with an elevated lymphocyte and histiocyte fractions. As a reference method, morphological manual differential (200 cells counts) was performed by two experienced technologists using cytospin slides stained with the May-Grunwald Giemsa. The BF mode of XN-1000 (XN-BF) determines the differential cell counts of BF samples using side scatter and fluorescence intensity in WDF channel after the nuclear DNA/RNA stain by nucleic acid dye. The polymorphonuclear cells, mononuclear cells and high fluorescence cells (HF-BF), corresponding with a high amount of nucleic acids, are differentiated. Mesothelial cells and macrophages are theoretically categorized as HF-BF cells and included in the total nucleated cell count but not in the WBC count. We selected the tumor cells positive (n=18) and chronic inflammation positive samples (n=108) by morphological manual differential, and reviewed their scattergram patterns determined by XN-BF. Then the novel scattergram gating strategy targeting the tumor cells was evaluated. The gating criteria were based on the WDF scatter plots; #1: detect the cells with larger size and higher fluorescence signal in comparison with general leukocytes, which mainly derived from clustered tumor cells, #2: detect the middle sized mononuclear cells with less granules rather than neutrophils and similar fluorescence signal to monocytes, which targeting hematological malignant cells and solid tumor cells. BF samples that meet at least one criterion were interpreted as positive for tumor cells. Results: The malignant BF samples containing tumor cells showed the different scattergram patterns from the benign ones with chronic inflammation; the malignant BF formed the isolated cellular clusters in our gating system, and the inflammatory BF showed the continuous expansion into the HF-BF area. Our scattergram gating analysis achieved an overall sensitivity of 72.2% and specificity of 98.0% in detecting tumor cells positive samples when screening against all samples outcomes. The positive predictive value was 76.5% and the negative predictive value was 97.5%. For the samples with absence of tumor cells and inflammatory observations (n=94), no false positive was detected. Of notes, each of our gating criterion detected the different type of tumor cells. For example, the scattergram gating analysis #1 achieved an overall sensitivity of 72.7% and specificity of 99.0% in detecting adenocarcinoma with the positive predictive value of 80.0% and the negative predictive value of 98.6%. Conclusions: A simple measurement of BF by automated hematology analyzer in which cells are minimally handled has a potential to reduce costs and allow routine cell screening in clinical applications. For the BF malignancy diagnostics, the scattergram gating analysis is promising to (i) augment diagnostic routines without requiring additional sample preparation procedure, (ii) limit operator bias, and (iii) provide a standardized measurement. Disclosures No relevant conflicts of interest to declare.
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Gulati, Gene L., and Bong H. Hyun. "An Unusual WBC Scattergram and Its Possible Causes." Laboratory Medicine 27, no. 6 (June 1, 1996): 398–402. http://dx.doi.org/10.1093/labmed/27.6.398.

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Xu, Wenlong, and André G. Journel. "Histogram and scattergram smoothing using convex quadratic programming." Mathematical Geology 27, no. 1 (January 1995): 83–103. http://dx.doi.org/10.1007/bf02083569.

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Tohyama, Kaoru, Shuichi Shiga, Hiroyuki Fujimoto, Yukio Hamaguchi, and Satoshi Ichiyama. "Automated Analysis of Differentiation-Induced Leukemic Cells During All-Trans Retinoic Acid Therapy of Acute Promyelocytic Leukemia." Archives of Pathology & Laboratory Medicine 127, no. 1 (January 1, 2003): e4-e10. http://dx.doi.org/10.5858/2003-127-e4-aaodil.

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Abstract During differentiation-induction therapy of acute promyelocytic leukemia (APL) patients with all-trans retinoic acid (ATRA), a variety of APL-derived bizarre granulocytic cells appear in the peripheral blood. To evaluate the differentiation induction of leukemic cells, we have developed a new scattergram analyzing program with an automated hematology analyzer and compared the data with the flow cytometry measuring the expression of differentiation-associated cell surface antigens, CD11b and CD16. We used the fluorescence intensity and side scatter as parameters of granulocytic maturation in the analysis with the automated hematology analyzer. The analysis of 2 ATRA-treated APL patients and in vitro study using HL-60 cells demonstrated that the levels of fluorescence intensity and side scatter decreased as accompanied with granulocytic maturation, and these changes were parallel with the results of flow cytometry. Our automated scattergram analysis of cell differentiation will contribute to general, objective, and real-time evaluation of differentiation-induction therapy of APL with ATRA.
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Stranieri, Angelica, Roberta Ferrari, Sergio Zanzani, and Gabriele Rossi. "Sysmex XT-2000iV scattergram analysis in a cat with basophilia." Veterinary Clinical Pathology 45, no. 2 (February 26, 2016): 225–28. http://dx.doi.org/10.1111/vcp.12340.

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Sharma, Sunita, Neha Sethi, Mukta Pujani, Shivani Kushwaha, and Shivali Sehgal. "Abnormal WBC scattergram: a clue to the diagnosis of malaria." Hematology 18, no. 2 (March 2013): 101–5. http://dx.doi.org/10.1179/1607845412y.0000000029.

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Dissertations / Theses on the topic "Scattergram"

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Chang, Chic-Chi, and 張志傑. "A Study Of The Impacts Of Design Background And Gender Factor On The Use Of Color Tone Modifiers And The Scattergram In Munsell Color Space." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/12554856603130787610.

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碩士
大同大學
工業設計研究所
90
Abstract People modify the limited number of hues with hue modifiers (tone), which are located in different places in the color space. The ISCC-NBS Centroid Color Charts of the USA have clearly divided the range of the twelve chromatic color tone modifiers. Through research, Lü discovered the six common chromatic color tone modifiers used by people in Taiwan. Further research indicated that the location color space of these six modifiers is different from that of the ISCC-NBS Color name charts. In their paper on the differences in color naming between the Chinese and British, Lin et al noticed that culture is the source of the differences between color names and color tone modifiers. Though Lü and Lin discovered some color tones people often use to describe hues, it is interesting to find out whether some tones not discussed by Lü and Lin have been widely used in conversations to describe some specific colors. This paper thus investigated the common color names in the natural language of the Taiwan area through experiments performed on an equal number of male and female respondents divided into two groups: respondents with a design background and respondents without a design background. Common hues and tones were selected for the color tone and color space matching experiment to find out the corresponding Munsell color space location of the color tones chosen by the respondents. Finally, after inference and statistical evaluation, the corresponding location of all color tones and individual groups of color tones in the boundaries and centroid of Munsell hue were determined, in order to obtain the range of common color tones used in conversation among people in Taiwan. Results indicate that amongst the common color tones used in conversions of people in Taiwan, DAN(淡), GIAN(淺) and FEN(粉) are difficult to distinguish; as are XIAN(鮮) and LIANG(亮). The distribution of the range of achromatic tones YOU(黝) and WU(烏) is similar. From the viewpoint of the background, the respondents with a design background give more color names than do the respondents without a design background; and the range of color tones chosen by this group is generally smaller in the Munsell color space; though the difference in centroid colors between both groups is small. From the viewpoint of gender, female respondents give more color names than do male respondents, though the difference in color tone range is small and centroid color location is insignificant between both genders. In sum, this paper gives concrete results relating to color tone utilization by males and females and by people with and without design backgrounds in Taiwan, as well as the distribution of these color tones in the Munsell color space.
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Books on the topic "Scattergram"

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S, Eagleson Peter, and United States. National Aeronautics and Space Administration., eds. The structure of red-infrared scattergrams of semivegetated landscapes. [Washington, DC: National Aeronautics and Space Administration, 1988.

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The structure of red-infrared scattergrams of semivegetated landscapes. [Washington, DC: National Aeronautics and Space Administration, 1988.

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Book chapters on the topic "Scattergram"

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Howarth, Richard J. "Scattergram." In Encyclopedia of Mathematical Geosciences, 1–3. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-26050-7_284-1.

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Pyrczak, Fred, and Deborah M. Oh. "Scattergram." In Making Sense of Statistics, 95–103. Routledge, 2018. http://dx.doi.org/10.4324/9781315179803-23.

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Lokwani, DP. "Scattergram." In The ABC of CBC: Interpretation of Complete Blood Count and Histograms, 127. Jaypee Brothers Medical Publishers (P) Ltd., 2013. http://dx.doi.org/10.5005/jp/books/11929_9.

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"Measuring Functional Abilities of the Elderly: Scattergram." In Interpreting Basic Statistics, 74–77. Routledge, 2016. http://dx.doi.org/10.4324/9781315266404-27.

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"Child Poverty and Mortality: Scattergram and Regression Line." In Interpreting Basic Statistics, 78–80. Routledge, 2016. http://dx.doi.org/10.4324/9781315266404-28.

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"APPENDIX D. Regional Abbreviations Used in Scattergrams." In Making Democracy Work, 200. Princeton University Press, 1994. http://dx.doi.org/10.1515/9781400820740-013.

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"Figure 2. Scattergram of shoulder retraction torque vs. propulsion torque for the run-up throw illustrating the strong relationship (r=−0.539, P<0.05) between these two variables." In Science and Football V, 110–11. Routledge, 2005. http://dx.doi.org/10.4324/9780203412992-39.

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Conference papers on the topic "Scattergram"

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Hou, Changjun, Jiale Dong, Yan Xu, Danqun Huo, Yike Tang, and Jun Yang. "Preparation and Characterization of Pt/WO3 Nano-Film and Its Hydrogen-Sensing Properties." In 2008 Second International Conference on Integration and Commercialization of Micro and Nanosystems. ASMEDC, 2008. http://dx.doi.org/10.1115/micronano2008-70010.

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Tungsten trioxide is an n-type semiconductor, which has been extensively used for the development of metal oxide semiconductor gas sensors. The hydrogen gas sensing performance of platinum (Pt) catalyst activated WO3 thin films were investigated here. All of the Pt/WO3 films membranes are sensitive to hydrogen gas and the sample by sol-gel and DC reactive magnetron sputtering methods. X-ray diffraction results indicate that the tungsten trioxide is cubic crystal, and the AFM analysis shows molecular structures of the samples are tetrahedron. It means the four consecutive quadrilateral forms we observed in the 9nmx9nm molecular structure are scattergram of tungsten-ions and oxide-ions on 106 sides in WO2.9 structure cell, and the lost one oxide-ion resulted in the transition of WO3 to WO2.9. With anneal temperature rising, the membranous poriness decreasing. The higher crystal degree is, the lower gasochromic efficiency is. The change of combining environment and content of O−2 ions in colorized / decolorized state WOx films was observed in XPS analysis of Pt/WO3 film, the peak shape had changed greatly. As a result, the explanation to this phenomenon is available here according to XPS chemical shift of electric potential model theory.
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Bromiley, P., N. Thacker, and P. Courtney. "Non-Parametric Image Subtraction using Grey Level Scattergrams." In British Machine Vision Conference 2000. British Machine Vision Association, 2000. http://dx.doi.org/10.5244/c.14.80.

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Cui, Peng, Zhipeng Wu, Shuqiang Jiang, and Qingming Huang. "Fast copy detection based on Slice Entropy Scattergraph." In 2010 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2010. http://dx.doi.org/10.1109/icme.2010.5583815.

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Enfinger, K. L., and P. L. Stevens. "Scattergraph Principles and Practice: Tools and Techniques to Evaluate Sewer Capacity." In Pipeline Division Specialty Conference 2006. Reston, VA: American Society of Civil Engineers, 2006. http://dx.doi.org/10.1061/40854(211)16.

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Enfinger, K. L., and J. S. Schutzbach. "Scattergraph Principles and Practice: Camp's Varying Roughness Coefficient Applied to Regressive Methods." In Pipeline Division Specialty Conference 2005. Reston, VA: American Society of Civil Engineers, 2005. http://dx.doi.org/10.1061/40800(180)6.

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Enfinger, K. L., and P. L. Stevens. "Scattergraph Principles and Practice: Characterization of Sanitary Sewer and Combined Sewer Overflows." In International Conference on Pipeline Engineering and Construction. Reston, VA: American Society of Civil Engineers, 2007. http://dx.doi.org/10.1061/40934(252)75.

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Enfinger, Kevin L., and Hal R. Kimbrough. "Scattergraph Principles and Practice a Comparison of Various Applications of the Manning Equation." In Pipeline Division Specialty Congress 2004. Reston, VA: American Society of Civil Engineers, 2004. http://dx.doi.org/10.1061/40745(146)50.

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Enfinger, K. L., and P. L. Stevens. "Scattergraph Principles and Practice: Practical Application of the Froude Number to Flow Monitoring." In Pipeline Division Specialty Conference 2006. Reston, VA: American Society of Civil Engineers, 2006. http://dx.doi.org/10.1061/40854(211)17.

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Enfinger, K. L., and P. L. Stevens. "Scattergraph Principles and Practice: Evaluating Pump Stations, Inverted Siphons, and Other Related Structures." In International Pipelines Conference 2008. Reston, VA: American Society of Civil Engineers, 2008. http://dx.doi.org/10.1061/40994(321)61.

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Stevens, P. L., and K. L. Enfinger. "Scattergraph Principles and Practice: Peeling the Onion — Evaluating the Accuracy of Flow Monitor Data." In International Pipelines Conference 2008. Reston, VA: American Society of Civil Engineers, 2008. http://dx.doi.org/10.1061/40994(321)121.

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