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The hybrid method for finding the roots of a polynomial over finite fields based on affine expansion
This paper proposes a hybrid method to find the roots of a polynomial in a finite field based on combining the polynomial decomposition into the sum of multiples of the affine polynomial with the analytical method to find the roots of low-order polynomials.
10p
visergeyne
18-06-2024
1
0
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Part 1 of ebook "Error analysis with applications in engineering" provides readers with contents including: Chapter 1 - Basic characteristics of error distribution, histograms; Chapter 2 - Random variables and probability, normal distribution; Chapter 3 - Probability distributions and their characterizations; Chapter 4 - Functions of independent random variables;...
113p
giangdongdinh
28-05-2024
5
2
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This paper proposes a semi-supervised multilingual speaker verification (MSV) system submitted for the 2 tasks, MSV for the Asian language inside the training set (T01) and outside the training set (T02) in O-COCOSDA and VLSP challenge 2022. To solve the problem, our strategy is training a baseline acoustic model with given labeled data (MSV CommonVoice) and fine-tuning the trained acoustic model with both given labeled data and given unlabeled data (MSV Youtube).
11p
dianmotminh02
03-05-2024
4
1
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Part 1 book "Parsons’ diseases of the eye" includes content: Anatomy of the eye, physiology of the eye, the physiology of vision, the neurology of vision, elementary optics and optical system of the normal eye, clinical refraction and refractive errors, clinical history taking and interpretation of symptoms, clinical examination, ocular therapeutics and lasers, diseases of the conjunctiva, diseases of the cornea, diseases of the sclera.
535p
oursky02
07-08-2023
4
2
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Lecture Business research methods (12/e) - Appendix 14A: Determining sample size. This chapter presents the following content: Random samples, increasing precision, confidence levels & the normal curve, standard errors, central limit theorem, estimates of dining visits, calculating sample size for questions involving means,...
16p
haojiubujain04
27-07-2023
12
7
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When testing for SNP (single nucleotide polymorphism) associations in related individuals, observations are not independent. Simple linear regression assuming independent normally distributed residuals results in an increased type I error and the power of the test is also affected in a more complicate manner.
11p
vinarcissa
21-03-2023
4
1
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The research "Factors affecting English speaking skill of the first year English majors and the ways how to improve at Hai Phong University of Management and Technology" aim is: to help the students catch up with the speed of a normal conversation in the real life so that they can improve their communication competence.
56p
vuhuyennhi
06-09-2022
41
15
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Lecture Software engineering II: Lesson 15 - Fakhar Lodhi. The main topics covered in this chapter include: a simple database, normalized metrics – per FP, statistical process control, control charts, metrics data for errors uncovered per review hour, moving range control chart, individual control chart,...
14p
youzhangjing_1909
28-04-2022
24
1
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The modernization of the world has considerably reduced the prime sources of energy such as coal, diesel and gas. Thus, alternative energy sources based on renewable energy have been the main concentration nowadays to address the world’s energy demand as well as restrict global warming. Solar energy is the main source used to generate electricity through photovoltaic (PV) system. However, the output of PV power is normally intermittent.
4p
vistephenhawking
26-04-2022
12
2
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The present work extends a priori thinking to an important case not addressed previously, where the researcher is interested in one-way ANOVA models with skew normal random effects. Computer simulations support the equations presented, along with a real data example for illustration of our main results.
14p
angicungduoc9
04-01-2021
7
1
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This chapter extends your database design skills by presenting normalization techniques to remove redundancy in relational tables. In this chapter, you learned about the notation used in entity relationship diagrams, important data modeling patterns, guidelines to avoid common modeling errors, and conversion of entity relationship diagrams (ERDs) into relational tables. You applied this knowledge to construct ERDs for small, narrative problems.
28p
larachdumlanat122
26-11-2020
12
2
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DNA methylation is a widely studied epigenetic phenomenon; alterations in methylation patterns influence human phenotypes and risk of disease. As part of the Atherosclerosis Risk in Communities (ARIC) study, the Illumina Infinium HumanMethylation450 (HM450) BeadChip was used to measure DNA methylation in peripheral blood obtained from ~3000 African American study participants.
10p
vikentucky2711
26-11-2020
13
2
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The aim of this study was the calibration and validation of DSSAT model (v4.5) for late sown wheat in western zone of Haryana. The DSSAT model was calibrated with the field experimental data of rabi 2010-11 having 3 levels of irrigation (one irrigation at crown root initiation [CRI], two irrigations at CRI and heading and four irrigations at CRI, late tillering, heading and milking) and 5 nitrogen levels (0, 50, 100, 150 and 200 kg N/ha) and validated with data of experiment rabi 2011-12 conducted at Hisar (29°10ˈ N and 75°46ˈ E).
10p
kethamoi6
29-06-2020
31
1
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In this chapter, you learned about the notation used in entity relationship diagrams, important data modeling patterns, guidelines to avoid common modeling errors, and conversion of entity relationship diagrams (ERDs) into relational tables. You applied this knowledge to construct ERDs for small, narrative problems. This chapter extends your database design skills by presenting normalization techniques to remove redundancy in relational tables.
30p
nanhankhuoctai9
23-06-2020
19
0
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Correct application of the classical factorial F-test depends on normality and homogeneity of variance assumptions. If these assumptions are violated the type I error rate will be inflated and power of the test will be decreased. Therefore nonparametric statistical tests have been proposed to analyze the interaction effects in factorial designs.
8p
tohitohi
22-05-2020
19
1
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Fitting of an appropriate model to an observed time series data for the purpose of predicting the future values efficiently is always a challenging task. The practitioners of statistics in their first attempt always try to fit parametric regression model to the data. For all parametric models to be fitted, it is assumed that the model errors follow independent normal distributions. If that assumption on error distribution is not satisfied, then we should search for an alternative procedure.
11p
caygaocaolon4
04-04-2020
23
2
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Present investigation was an attempt to study the trend of jute production in West Bengal for the period starting from 1950 to 2016. For stochastic trend estimation, a number of time series parametric regression models viz. Linear model, Quadratic model, Exponential model, Logarithmic model, Power model and Auto Regressive Integrated Moving Average (ARIMA) were employed and compared for finding out an appropriate econometric model to capture the trend of jute production of the country. Based on the performance of several goodness of fit criteria viz.
12p
trinhthamhodang3
17-02-2020
27
0
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This paper compares the out-of-sample forecasting performance of the GARCH, EGARCH, and GJR-GARCH models across the Normal distribution, Student-t distribution, and Generalized Error Distribution (GED) in the regional stock market of the West African Economic and Monetary Union called the BRVM. The study uses weekly returns ranging from 4 January 1999 to 10 March 2005 for in-sample estimation of conditional variance models, and the period from 11 March 2005 to 29 July 2005 for out-of-sample forecasting.
11p
trinhthamhodang2
21-01-2020
49
3
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Precipitation records often suffer from missing data values for certain time periods due to various reasons, one of them being the malfunctioning of rain gauges. This is an important issue in practical hydrology as it affects the continuity of rainfall data. The missing data values ultimately influence the results of hydrologic studies that use rainfall data as one of the input variables. Therefore, it is crucial to estimate the missing rainfall data for qualitative hydrologic assessment.
9p
nguaconbaynhay1
04-12-2019
22
2
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In the two-coupled distillation column process, keeping the tray temperatures within a specified range around their steady state values assures the specifications for top and bottom product purity. The two-coupled distillation column is a 4 Input/4 Output process. Normally, control engineers decouple the process into four independent loops. They assign a PID controller to control each loop. Tuning of conventional PID controllers is very difficult when the process is subject to external unknown factors.
11p
kethamoi1
20-11-2019
15
0
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