Results 1 to 10 of about 768,731 (196)

Realizing the value in “non-standard” parts of the qPCR standard curve by integrating fundamentals of quantitative microbiology

Frontiers in Microbiology, 2023
The real-time polymerase chain reaction (PCR), commonly known as quantitative PCR (qPCR), is increasingly common in environmental microbiology applications. During the COVID-19 pandemic, qPCR combined with reverse transcription (RT-qPCR) has been used to
Philip J. Schmidt, Nicole Acosta, Alex H. S. Chik, Patrick M. D’Aoust, Robert Delatolla, Hadi A. Dhiyebi, Melissa B. Glier, Casey R. J. Hubert, Jennifer Kopetzky, Chand S. Mangat, Xiao-Li Pang, Xiao-Li Pang, Xiao-Li Pang, Shelley W. Peterson, Natalie Prystajecky, Natalie Prystajecky, Yuanyuan Qiu, Mark R. Servos, Monica B. Emelko   +18 more
doaj   +1 more source

Anomaly Detection for Log Sequence Based on Improved Temporal Convolutional Network [PDF]

Jisuanji gongcheng, 2020
Existing anomaly detection models for log sequence based on recurrent neural network perform well for shorter sequences,but underperform for long sequences.To address the problem,this paper proposes a general anomaly detection framework for log sequences
YANG Ruipeng, QU Dan, ZHU Shaowei, QIAN Yekui, TANG Yongwang
doaj   +1 more source

Pengujian Rule-Based pada Dataset Log Server Menggunakan Support Vector Machine Berbasis Linear Discriminat Analysis untuk Deteksi Malicious Activity

Jurnal Teknologi Informasi dan Ilmu Komputer, 2022
Web server bertugas menjalankan aplikasi web untuk melayani request dari klien. Setiap interaksi yang dilakukan klien terhadap aplikasi web, tercatat pada catatan log server. Dari log tersebut, terdapat data detail tentang alamat IP, perangkat dan sumber
Kurnia Adi Cahyanto, Muhammad Anis Al Hilmi, Muhamad Mustamiin   +2 more
doaj   +1 more source

Multivariate Count Data Models for Time Series Forecasting

Entropy, 2021
Count data appears in many research fields and exhibits certain features that make modeling difficult. Most popular approaches to modeling count data can be classified into observation and parameter-driven models. In this paper, we review two models from
Yuliya Shapovalova, Nalan Baştürk, Michael Eichler   +2 more
doaj   +1 more source

On the Connection Between the Distribution of Eigenvalues in Multiple Correspondence Analysis and Log-Linear Models

Revstat Statistical Journal, 2003
Multiple Correspondence Analysis (MCA) and log-linear modeling are two techniques for multi-way contingency table analysis having different approaches and fields of applications.
S. Ben Ammou , G. Saporta
doaj   +1 more source

Bayesian spectral modeling for multiple time series [PDF]

, 2019
We develop a novel Bayesian modeling approach to spectral density estimation for multiple time series. The log-periodogram distribution for each series is modeled as a mixture of Gaussian distributions with frequency-dependent weights and mean functions.
Cadonna, Annalisa, Kottas, Athanasios, Prado, Raquel   +2 more
core   +1 more source

A Framework to Interpret Nonstandard Log-Linear Models

Austrian Journal of Statistics, 2016
The formulation of log-linear models within the framework of Generalized Linear Models offers new possibilities in modeling categorical data. The resulting models are not restricted to the analysis of contingency tables in terms of ordinary hierarchical ...
Patrick Mair
doaj   +1 more source

Quantum Chemical GA-MLR, Cluster Model, and Conceptual DFT Descriptors Studies on the Binding Interaction of Estrogen Receptor Alpha with Endocrine Disrupting Chemicals

Crystals, 2023
In the present study, the predication of the binding affinity (log RBA) of estrogen receptor alpha with three categories of environmental endocrine disrupting chemicals (EDCs), namely, PCB, phenol, and DDT, is performed by the quantum chemical genetic ...
Shu-Chun Chi, Hsing-Cheng Hsi, Chia-Ming Chang   +2 more
doaj   +1 more source

Computer-aided diagnosis of renal obstruction: utility of log-linear modeling versus standard ROC and kappa analysis [PDF]

, 2011
Background The accuracy of computer-aided diagnosis (CAD) software is best evaluated by comparison to a gold standard which represents the true status of disease.
Amita K Manatunga, José G Binongo, Andrew T Taylor   +2 more
core   +1 more source

Revealing Facts and Avoiding Biases: A Review of Several Common Problems in Statistical Analyses of Epidemiological Data

Frontiers in Public Health, 2016
This paper reviews common challenges encountered in statistical analyses of epidemiological data for epidemiologists. We focus on the application of linear regression, multivariate logistic regression, and log-linear modeling to epidemiological data ...
Lihan Yan, Youming Sun, Michael R Boivin, Paul O Kwon, Yuanzhang Li   +4 more
doaj   +1 more source