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Relevant bibliographies by topics / Standard deviation chart

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Academic literature on the topic 'Standard deviation chart'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Standard deviation chart"

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Schoonhoven, Marit, and Ronald J. M. M. Does. "A Robust Standard Deviation Control Chart." Technometrics 54, no. 1 (2012): 73–82. http://dx.doi.org/10.1080/00401706.2012.648869.

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Phantu, Suganya, Yupaporn Areepong, and Saowanit Sukparungsee. "Analysis Process Dispersion Variation Tracked using a Mixed MA-EWMA Control Chart." WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL 19 (July 29, 2024): 217–26. http://dx.doi.org/10.37394/23203.2024.19.23.

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This study aims to develop a combined Moving Average - Exponentially Weighted Moving Average Control Chart with standard deviation based (MA-EWMAS chart) that can be used to identify changes in standard deviation in processes under a normal distribution. The average run length (ARL), standard deviation of run length (SRL), and median run length (MRL) are used to compare the performance of the proposed control chart with S, MAS, and EWMAS control charts. This benchmark is assessed using Monte Carlo (MC) simulations. Furthermore, actual data is used to apply the suggested control charts. For all

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Kalpesh, S. Tailor. "SAMPLE STANDARD DEVIATION(s) CHART UNDER THE ASSUMPTION OF MODERATENESS AND ITS PERFORMANCE ANALYSIS." International Journal of Research - Granthaalayah 5, no. 6 (2017): 368–77. https://doi.org/10.5281/zenodo.821537.

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Moderate distribution proposed by Naik V.D and Desai J.M., is a sound alternative of normal distribution, which has mean and mean deviation as pivotal parameters and which has properties similar to normal distribution. Mean deviation (δ) is a very good alternative of standard deviation (σ) as mean deviation is considered to be the most intuitively and rationally defined measure of dispersion. This fact can be very useful in the field of quality control to construct the control limits of the control charts. On the basis of this fact Naik V.D. and Tailor K.S. have proposed 3δ control limits. In

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Huang, Wei-Heng, Arthur B. Yeh, and Hsiuying Wang. "A control chart for the lognormal standard deviation." Quality Technology & Quantitative Management 15, no. 1 (2017): 1–36. http://dx.doi.org/10.1080/16843703.2017.1304044.

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Tailor, Kalpesh S. "SAMPLE STANDARD DEVIATION(s) CHART UNDER THE ASSUMPTION OF MODERATENESS AND ITS PERFORMANCE ANALYSIS." International Journal of Research -GRANTHAALAYAH 5, no. 6 (2017): 368–77. http://dx.doi.org/10.29121/granthaalayah.v5.i6.2017.2045.

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Moderate distribution proposed by Naik V.D and Desai J.M., is a sound alternative of normal distribution, which has mean and mean deviation as pivotal parameters and which has properties similar to normal distribution. Mean deviation (δ) is a very good alternative of standard deviation (σ) as mean deviation is considered to be the most intuitively and rationally defined measure of dispersion. This fact can be very useful in the field of quality control to construct the control limits of the control charts. On the basis of this fact Naik V.D. and Tailor K.S. have proposed 3δ control limits. In

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Shan, Tingting, Liusan Wu, and Xuelong Hu. "A Combined Upper-Sided Synthetic S2 Chart for Monitoring the Process Variance." Mathematical Problems in Engineering 2020 (June 24, 2020): 1–6. http://dx.doi.org/10.1155/2020/9102059.

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In order to monitor the process variance, this paper proposes a combined upper-sided synthetic S2 chart for monitoring the process standard deviation of a normally distributed process. This combined upper-sided synthetic S2 chart comprises a synthetic chart and an upper-sided S2 chart. The design and performance of the proposed chart are presented, and the steady-state average run length comparisons show that the combined upper-sided synthetic S2 chart outperforms the standard synthetic S2 chart as well as several run rules S2 charts, especially for larger shifts in the process variance.

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Sindhumol, Marangattu R., Michele Gallo, and Mamandur R. Srinivasan. "Monitoring Industrial Process using a Robust Modified Mean Chart." Austrian Journal of Statistics 48, no. 2 (2019): 1–13. http://dx.doi.org/10.17713/ajs.v48i1.765.

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Shewhart control chart is the most popular and widely used Statistical process Control tool to monitor process. It is developed under the assumption of independent and normally distributed process. In order to control process mean and standard deviation, robust estimator of these parameters can be better alternatives as charts based on that are more resistant to moderate changes in process distribution. Modified Maximum Likelihood Estimator (MMLE) for mean and standard deviation is a pair of statistics with good robust properties. Authors introduced these measures to control charting process a

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Mayashari, Mayashari, Erna Tri Herdiani, and Anisa Anisa. "COMPARISON OF CONTROL CHART X ̅ BASED ON MEDIAN ABSOLUTE DEVIATION WITH S." BAREKENG: Jurnal Ilmu Matematika dan Terapan 18, no. 2 (2024): 0737–50. http://dx.doi.org/10.30598/barekengvol18iss2pp0737-0750.

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A stable and controlled process will produce products of good quality following predetermined specifications. A control chart is one of the statistical tools that can be used to measure the stability of a product process in a controlled state. Control charts commonly used to evaluate the statistical control process are Shewhart control charts ( and ). The control chart is used to control the process, as seen from the average and variability of the process. If the data used is not normally distributed or there are outliers, then an alternative control chart, namely the Median Absolute Deviation

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Huang, Wei-Heng. "The Performance of S Control Charts for the Lognormal Distribution with Estimated Parameters." Sustainability 14, no. 24 (2022): 16582. http://dx.doi.org/10.3390/su142416582.

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Control charts, one of the powerful tools in statistical process control (SPC), are widely used to monitor and detect out-of-control processes in the manufacturing industry. Many researchers have pointed out the effects of using estimated parameters on the average run length (ARL) performance metric. Most of the previous literature has studied the expected value of the average run length (AARL) and the standard deviation of the average run length (SDARL) to evaluate the performance of control charts. In this article, we study the performance of three S control charts, the Shewhart S-chart, the

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MUHAMMAD, SAAD, IDREES MUHAMMAD DAWOOD, ANSARI ARSALAN, SAMI ABDUL, RAUF MUHAMMAD, and JAMIL ATIF. "Reduction of non-conforming through statistical process control charts in textile industry." Industria Textila 73, no. 05 (2022): 537–43. http://dx.doi.org/10.35530/it.073.05.202166.

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The textile industry of Pakistan is a growing sector that contributes to the economy. Pakistan exports depend heavily upon textile goods. A minor defect in the finished good can cause a major loss of the export goods. Due to the involving the number of workers checking the product repeatedly can be very expensive therefore the quality engineering techniques of Statistical Control Charts are used in the textile industry. This research study aims at developing process control charts for the textile industry in Pakistan. For this purpose, the textile industry was taken into consideration. P-chart

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Dissertations / Theses on the topic "Standard deviation chart"

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Wang, Hsiao-Ling. "A New R Chart Based on Adjusted Weighted Standard Deviation Method." 2005. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0002-2706200511195200.

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Wang, Hsiao-Ling, and 王曉齡. "A New R Chart Based on Adjusted Weighted Standard Deviation Method." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/58651668801003158906.

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碩士<br>淡江大學<br>統計學系碩士班<br>93<br>The thesis conducts a numerical study in comparing the performance of the adjusted weighted standard deviation R chart, weighted variance R chart, and the skewness correlation R chart with the underlying distribution of quality characteristic is skewed. Assume that the underlying distribution is Weibull, gamma, and lognormal, we compare the Type I Risk of those R chart how to be close to the nominal value 0.27%. If the process distribution is exponential with known mean, we show that not only the Type I Risk, but also the Type II Risk of the adjusted weighted sta

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Liu, Chi-Shuan, and 劉季旋. "Design of Single-Featured EWMA-X (SFEWMA-X) Control Chart Using Individual Observations for Detecting Process Mean Shifts and Standard Deviation Changes." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/xcs95k.

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博士<br>國立臺北科技大學<br>工商管理研究所<br>100<br>Quality control chart is an important tool for process monitoring and quality improvement. Several combined control charts have been proposed to enhance the detection ability in detecting small and large process parameter changes simultaneously. However, these control charts require calculating and monitoring two statistics along with two sets of control limits. This study propose a new control chart using individual observations, called a single featured EWMA-X (SFEWMA-X) control chart, to monitor both small and large process mean shifts and process standar

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Huang, Wei-Heng, and 黃偉恆. "Control Charts for Monitoring the Mean and Standard Deviation of Non-Normal Processes." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/97652790192118770929.

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博士<br>國立交通大學<br>統計學研究所<br>104<br>Among the statistical process control tools, the control chart has been proven to be effective in process monitoring. The Shewhart X-chart and S-chart are the most commonly used statistical control charts for monitoring the process mean and variability based on the assumption that the distribution of the quality characteristic is normal. However, in real applications, many process distributions may follow a positively-skewed distribution such as the lognormal distribution. In this dissertation, we first discuss the construction of several control charts for mon

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Books on the topic "Standard deviation chart"

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Cleary, Paul, Sam Ghebrehewet, and David Baxter. Essential statistics and epidemiology. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198745471.003.0022.

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This chapter provides a grounding in basic statistics, descriptive epidemiology, analytical epidemiology, and hypothesis testing appropriate for health protection practitioners. The analysis of categorical data using frequency distributions, and charts, and the interpretation of epidemic curves is described. The description of quantitative data including central tendency, standard deviation, and interquartile range is concisely explained. The role of geographical information systems and different disease map types is used to demonstrate how disease clusters may be detected. Determining possibl

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Petchey, Owen L., Andrew P. Beckerman, Natalie Cooper, and Dylan Z. Childs. Insights from Data with R. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198849810.001.0001.

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Knowledge of how to get useful information from data is essential in the life and environmental sciences. This book provides learners with knowledge, experience, and confidence about how to efficiently and reliably discover useful information from data. The content is developed from first- and second-year undergraduate-level courses taught by the authors. It charts the journey from question, to raw data, to clean and tidy data, to visualizations that provide insights. This journey is presented as a repeatable workflow fit for use with many types of question, study, and data. Readers discover h

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Book chapters on the topic "Standard deviation chart"

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Hardebusch, Björn, Julia Polley, Benjamin Dambacher, Karin Kypke, and Ralf Lippold. "Analysis and Quality Control of WHO- and UNEP-Coordinated Human Milk Studies 2000–2019: Organochlorine Pesticides and Industrial Contaminants." In Persistent Organic Pollutants in Human Milk. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-34087-1_5.

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AbstractThe analytical method for determination of nonpolar organochlorine pesticides and industrial contaminants in human milk comprises extraction of lipids, the use of three internal standards, two chromatographic separation steps for clean-up and gas chromatography on various columns of different polarity and different detectors (GC-ECD, GC-MS/MS). The more polar analytes were determined applying the QuEChERS method and HPLC-MS/MS measurement.As accredited laboratory since 1998, a comprehensive quality control programme was applied to prove the long-term reliability of results of the WHO/U

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Hibbert, D. Brynn. "Quality Control Tools." In Quality Assurance in the Analytical Chemistry Laboratory. Oxford University Press, 2007. http://dx.doi.org/10.1093/oso/9780195162127.003.0008.

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Although thoroughly convinced that no laboratory can function without proper regard to quality in all its myriad forms, the question remains, What do we do? As a quality control manager with a budget and the best aspirations possible, what are the first steps in providing your laboratory or company with an appropriate system (other than buying this book, of course)? Each laboratory is unique, and what is important for one may be less important for another. So before buying software or nailing control charts to your laboratory door, sit down and think about what you hope to achieve. Consider ho

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Mukherjee, Dr Poulami. "A STUDY ON RELATIONSHIP BETWEEN ADJUSTMENT ABILITY AND SOCIO- ECONOMIC STATUS OF LEARNERS STUDYING IN SECONDARY SCHOOLS OF PURBO MEDINIPUR DISTRICT, WEST BENGAL." In Futuristic Trends in Social Sciences Volume 3 Book 7. Iterative International Publishers, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3bjso7p2ch3.

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We should know about individual attributes of learners to provide appropriate teaching methods and counselling procedures to them as demanded by our present education system. In this study, adjustment ability and socio-economic status of learners were assessed and their correlation among learners of rural and semi-rural area was studied using survey method and purposive sampling was done. Standardized questionnaire was selected and coefficient of correlation, mean, standard deviation, t-value tests were used as statistical tools. Pie-chart was used to represent data. The studies revealed that

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Zengeya, Stanley Tamuka, and Tiroumourougane V. Serane. "Examination of the child with short stature." In The MRCPCH Clinical Exam Made Simple. Oxford University Press, 2011. http://dx.doi.org/10.1093/oso/9780199587933.003.0019.

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Assessment of a child with short stature is one of the commonest endocrinology cases seen in the exam. It is important to remember that short stature is not a disease by itself and is an impairment of linear growth. The term ‘short stature’ is restricted to height-related issues above 2 years of age, in contrast to ‘faltering growth’ which focuses on weight-related issues in those less than 2 years. Short stature is a height which is less than the third percentile for age on the growth chart derived from local data. Other definitions of impaired linear growth are height significantly below gen

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"The Development of Mean and Standard Deviation Control Charts." In Statistical Process Control For Quality Improvement- Hardcover Version. Chapman and Hall/CRC, 2001. http://dx.doi.org/10.1201/9781420035544-5.

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"The Development of Mean and Standard Deviation Control Charts." In Statistical Process Control For Quality Improvement- Hardcover Version. Chapman and Hall/CRC, 2001. http://dx.doi.org/10.1201/9781420035544.ch3.

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"Constants used in the design of control charts for standard deviation." In Statistical Process Control. Elsevier, 2008. http://dx.doi.org/10.1016/b978-0-7506-6962-7.50023-7.

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"E: Constants used in the design of control charts for standard deviation." In Statistical Process Control. Routledge, 2012. http://dx.doi.org/10.4324/9780080474458-29.

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Hawkins, Dawn. "Describing a single sample." In Biomeasurement. Oxford University Press, 2019. http://dx.doi.org/10.1093/hesc/9780198807483.003.0003.

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This chapter discusses how to conduct analyses to describe a single sample of data. We can do this by producing summary numbers, names, tables, or pictures (otherwise known as graphs, charts, or figures). The chapter begins by explaining when and how to calculate descriptive statistics for the central tendency (mean, median, and mode) and variability (range, interquartile range, standard deviation, and variance) of a sample. Descriptive statistics are numbers or names used to summarize the information in a sample. The chapter then considers the attributes, types, and importance of frequency di

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Auerbach, Charles. "Comparing Baseline and Intervention Phases." In SSD for R. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780197582756.003.0005.

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In this chapter readers will learn about methodological issues to consider in analyzing the success of the intervention and how to conduct visual analysis. The chapter begins with a discussion of descriptive statistics that can aid the visual analysis of findings by summarizing patterns of data across phases. An example data set is used to illustrate the use of specific graphs, including box plots, standard deviation band graphs, and line charts showing the mean, median, and trimmed mean that can used to compare any two phases. SSD for R provides three standard methods for computing effect siz

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Conference papers on the topic "Standard deviation chart"

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Xin, Shibo, Yali Wang, and Wenqing Lv. "Standard deviation control chart based on weighted standard deviation method." In 2014 33rd Chinese Control Conference (CCC). IEEE, 2014. http://dx.doi.org/10.1109/chicc.2014.6895533.

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Thekkuden, Dinu Thomas, Abdel-Hamid I. Mourad, John Victor Christy, and Amir Hussain Idrisi. "Assessment of Weld Quality Using Control Chart and Frequency Domain Analysis." In ASME 2018 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/pvp2018-85091.

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Two novel techniques are proposed in this work to distinguish instantly the weld quality. The first technique is based on the recorded voltage during welding while the other is based on the recorded sound. Both voltage and sound are recorded using data acquisition system having 8 KHz sampling frequency and sound recorder respectively. The recorded data are analyzed immediately after welding process using control chart for voltage-based technique and frequency domain analysis for sound-based technique. The result of the first approach revealed that the sample points in the standard deviation or

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Pacheco Cardin, Mayra, Juan Luis Hernández-Arellano, and Julian Aguilar-Duque. "Anthropometric characterization of Campeche's population." In 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023). AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1003431.

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Anthropometry is an important branch of ergonomics that deals with body measurements, particularly measurements of body size, shape, strength, mobility, flexibility, and work capacity. Reliable anthropometric data and technical procedures of ergonomics can be powerful tools to optimize the design of products to fit human dimensions. However, in Mexico, there is a scarcity of this type of data, particularly in the state of Campeche. This study aims to characterize the anthropometry of the economically active population in the northern part of the state of Campeche by creating an anthropometric

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Pukhova, Ekaterina, and Vladislav Vereshchagin. "Compensation of defects in printing process with histogram methods." In 10th International Symposium on Graphic Engineering and Design. University of Novi Sad, Faculty of technical sciences, Department of graphic engineering and design,, 2020. http://dx.doi.org/10.24867/grid-2020-p41.

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A method of image preparation for printing reproduction is suggested. This method allows to automatically compensate transformations that occur during reproduction, by analyzing a histogram of test chart image and based on it, creating a compensation pre-correction function. It also takes into consideration the visual perception of images. Pre-correction function is applied to images at the prepress stage after all other corrections. It is aimed to compensate defects, occurring at the printing stage, caused by the process of tone value increase and restriction of tonal range reproduction. It i

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Adelita, Sela Putri, Eti Poncorini Pamungkasari, and Bhisma Murti. "Meta Analysis: The Effect of High-Intensity Interval Training on Low Density Lipoprotein Level in Patients with Type 2 Diabetes Melitus." In The 7th International Conference on Public Health 2020. Masters Program in Public Health, Universitas Sebelas Maret, 2020. http://dx.doi.org/10.26911/the7thicph.05.42.

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ABSTRACT Background: High intensity interval training (HIIT) is a protocol of short work intervals of vigorous to high intensity interspersed with active or passive (cessation of movement) recovery periods. HIIT has been employed since the mid-20th century to improve athletic exercise performance. Regular exercise reduces elevated low-density lipoprotein (LDL), atherosclerosis formation, and risk factors of cardiovascular disease (CVD). This study aimed to examine the effect of high-intensity interval training on low density lipoprotein level in patients with type 2 diabetes mellitus (DM). Sub

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Xue, Li, Yumin Liu, and Jichao Xu. "Economic Design of EWMA Standard Deviation Charts Using Variable Sampling Policy." In 2010 International Conference on Internet Technology and Applications (iTAP). IEEE, 2010. http://dx.doi.org/10.1109/itapp.2010.5566631.

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Melgosa, M., M. Sánchez-Marañón, Á. Vicente-Retortillo, J. Cuadros, and F. González-Galindo. "USING MUNSELL SOIL-COLOUR CHARTS ON MARS AND EARTH." In CIE 2023 Conference. International Commission on Illumination, CIE, 2023. http://dx.doi.org/10.25039/x50.2023.po122.

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We computed Munsell notations for a set of fifty-five clay samples, analogous to those existing in Mars, under three different illuminants: The CIE standard illuminant D65 and two illuminants proposed for Mars, named M54 and M46, with correlated colour temperatures of 5400 K and 4600 K, respectively. The magnitudes of CIELAB colour differences (average ± standard deviation) between clay samples and their nearest Munsell chips were very similar for D65, M46 and M54: 3,8 ± 1,7, 3,8 ± 1,6 and 3,8 ± 1,7, respectively. Lightness differences were the main components (above 50%) in these average CIEL

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Yang, Shen, Geng Bo, and Li Dan. "Based on Human Behavior Process of Human Error Defensive Management Research for NPP." In 2017 25th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/icone25-66007.

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According to the research of nuclear power plant human error management, it is found that the traditional human error management are mainly based on the result of human behavior, the event as the point cut of management, there are some drawbacks. In this paper, based on the concept of the human performance management, establish the defensive human error management model, the innovation point is human behavior as the point cut, to reduce the human errors and accomplish a nip in the bud. Based on the model, on the one hand, combined with observation and coach card, to strengthen the human behavi

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Duarte, Maria Laura Peraça, Marilia Elis Reichert, and Aline Mânica. "CLINICAL CHARACTERIZATION OF PATIENTS WITH BREAST CANCER DOING FOLLOW-UP ON A REFERENCE HOSPITAL IN THE WEST OF SANTA CATARINA STATE, BRAZIL." In Brazilian Breast Cancer Symposium 2022. Mastology, 2022. http://dx.doi.org/10.29289/259453942022v32s2070.

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Objective: This study aims to describe the clinical and laboratory parameters of patients with breast cancer doing follow- -up in the city of Chapecó, from 2015 to 2020. Methods: This is a quantitative, retrospective, documental, and descriptive research, which evaluated the medical charts of 64 female patients diagnosed with breast cancer from 2015 to 2020, doing follow-up in the Hospital Regional do Oeste in the city of Chapecó, Santa Catarina state, Brazil. The data were evaluated through mean (±standard deviation), total frequency, and relative frequency. This research was approved by the

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Kasparinsky, Felix Osvaldovich. "Price Channels of the Multitrading System." In 25th Scientific Conference “Scientific Services & Internet – 2023”. Keldysh Institute of Applied Mathematics, 2023. http://dx.doi.org/10.20948/abrau-2023-8.

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The article is devoted to the phenomenon of the formation of price channels that limit fluctuations in quotations of financial instruments in the Forex Internet market. Price channels are used to predict the properties of groups of oscillations with a similar limit of deviation from the level of dynamic equilibrium between supply and demand. The stages of formation of a single oscillation (unidirectional price change) are considered in the context of Charles Dow's theory as a cooperative result of the actions of Internet traders interacting through Internet trading terminals. The specifics of

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