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Power regression
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In this study, the simultaneous determination of Co, Cd, Ni, Cu, and Pb was carried out as a color complex with 4-(2-pyridylazo) resorcinol in an aqueous solution under the assesting of machine learning. A partial least-squares multivariate linear regression and artificial neuron network for the analysis of mixtures of metals were developed. MATLAB is a powerful software machine learning program that was used to support matrix calculations and displays.
8p
visergeyne
18-06-2024
0
0
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Part 2 book "Power converters AC electrical drives with linear neural networks" includes content: Sensorless control of induction machine drives; permanent magnet synchronous motor drives; neural based orthogonal regression; least squares and neural identification of electrical machines; neural sensorless control of AC drives.
345p
dianmotminh00
22-04-2024
4
4
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Part 1 book "Statistical methods in biology - Design and analysis of experiments and regression" includes content: Introduction; a review of basic statistics; principles for designing experiments; models for a single factor; checking model assumptions; transformations of the response; models with a simple blocking structure; extracting information about treatments; models with more complex blocking structure; replication and power.
278p
muasambanhan03
02-01-2024
2
2
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In this paper, a short-term load forecasting model is proposed based on Long Short-Term Memory (LSTM) network combining linear regression algorithm and EVN-NLDC (National Load Dispatch Centre) data. Short-term load forecasting has an enormous impact on unit commitment, strategic power reserve for national power system and enhances the reliability of the power supply.
4p
vijeff
01-12-2023
7
4
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A modern power system has faced in stress condition and its operating point is close to its stability limit, while the power system is subjected to variety large oscillation. The paper designed an interactive visualization tool that enables the user to monitor the stable status of power system. The study is tested on IEEE 39-bus power system network.
8p
vidoctorstrange
06-05-2023
4
2
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Ebook Biostatistical methods in epidemiology: Part 2 presents the following chapters: Chapter 7: risk difference methods for closed cohort data, chapter 8: survival analysis, chapter 9: kaplan–meier and actuarial methods for censored survival data, chapter 10: poisson methods for censored survival data, chapter 11: odds ratio methods for case-control data, chapter 12: standardized rates and age–period–cohort analysis, chapter 13: life tables, chapter 14: sample size and power, chapter 15: logistic regression and cox regression.
231p
runthenight08
12-04-2023
7
1
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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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For the analysis of gene-environment (GxE) interactions commonly single nucleotide polymorphisms (SNPs) are used to characterize genetic susceptibility, an approach that mostly lacks power and has poor reproducibility. One promising approach to overcome this problem might be the use of weighted genetic risk scores (GRS), which are defined as weighted sums of risk alleles of gene variants. The gold-standard is to use external weights from published meta-analyses.
14p
vinarcissa
21-03-2023
3
1
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Most genome-wide association studies assumed an additive model of inheritance which may result in significant loss of power when there is a strong departure from additivity. The General Regression Model (GRM), which allows performing an assumption-free test for association by testing for both additive effect and deviation from additive effect, may be more appropriate for association tests.
10p
vinarcissa
21-03-2023
4
1
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Bovine mastitis is a typical inflammatory disease causing seriously economic loss. Genome-wide association study (GWAS) can be a powerful method to promote marker assistant selection of this kind of complex disease.
9p
vinarcissa
21-03-2023
3
1
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Screening of physicochemical properties should be considered one of the essential steps in the drug discovery pipeline. Among the available methods, biomimetic chromatography with an immobilized artificial membrane is a powerful tool for simulating interactions between a molecule and a biological membrane.
8p
viginny
23-12-2022
6
2
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Load forecasting has always been a crucial part of an efficient power system planning an operation. Since the global electricity market has developed rapidly in recent years, accurate load forecasting is becoming increasingly difficult. ShortTerm Load Forecasting (STLF) has an enormous impact on unit commitment, strategic power reserve for national power systems and enhances the power supply’s reliability.
4p
vistephenhawking
26-04-2022
17
2
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One challenge facing omics association studies is the loss of statistical power when adjusting for confounders and multiple testing. The traditional statistical procedure involves fitting a confounder-adjusted regression model for each omics feature, followed by multiple testing correction.
18p
viarchimedes
26-01-2022
11
0
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In this study, we explore scRNASeq cancer data from a different perspective. We focus on scRNASeq data originating from cancer cells pertaining to a particular cancer type, where the cell type or the subpopulation to which each cell belongs is known. We investigate if the “cell type” of a cancer cell can be predicted based on the expression profiles of a small set of transcripts.
13p
vibeauty
23-10-2021
7
0
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The growth of DNA biobanks linked to data from electronic health records (EHRs) has enabled the discovery of numerous associations between genomic variants and clinical phenotypes.
7p
viansan2711
30-07-2021
16
1
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The deficiency of secure and reliable electrical power is a constraint to firm performance and its competitiveness in developing countries. Several countries in the south Asian region face electricity shortages leading to frequent power outages. This study investigate the effect of power outages on the technical efficiency of firms in selected South Asian countries. The study employed the stochastic frontier approach to estimate the technical efficiency of firms. We use the OLS and Beta regression to estimate the effect of power outages on technical efficiency of manufacturing firms.
8p
caygaocaolon11
18-04-2021
11
1
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Evidence suggests that common complex diseases may be partially due to SNP-SNP interactions, but such detection is yet to be fully established in a high-dimensional small-sample (small-n-large-p) study. A number of penalized regression techniques are gaining popularity within the statistical community, and are now being applied to detect interactions.
11p
vikentucky2711
26-11-2020
4
0
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Active learning is a powerful tool for guiding an experimentation process. Instead of doing all possible experiments in a given domain, active learning can be used to pick the experiments that will add the most knowledge to the current model. Especially, for drug discovery and development, active learning has been shown to reduce the number of experiments needed to obtain high-confidence predictions.
10p
vikentucky2711
24-11-2020
12
1
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Phred quality scores are essential for downstream DNA analysis such as SNP detection and DNA assembly. Thus a valid model to define them is indispensable for any base-calling software. Recently, we developed the base-caller 3Dec for Illumina sequencing platforms, which reduces base-calling errors by 44-69% compared to the existing ones.
14p
viflorida2711
30-10-2020
13
2
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Deep sequencing of transposon mutant libraries (or TnSeq) is a powerful method for probing essentiality of genomic loci under different environmental conditions. Various analytical methods have been described for identifying conditionally essential genes whose tolerance for insertions varies between two conditions.
15p
vicolorado2711
23-10-2020
16
1
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