Control Data Set of Healthy Mice and Strain Comparison

immuneACCESS ◽  
2019 ◽  
Author(s):  
D Hamm
Keyword(s):  
Control Data ◽  
Data Set ◽  
Strain Comparison

scholarly journals Historical control data for hematology parameters obtained from toxicity studies performed on different Wistar rat strains: Acceptable value ranges, definition of severity degrees, and vehicle effects

2020 ◽  
Vol 4 ◽  
pp. 239784732093148
Author(s):  
Marlies de Kort ◽  
Klaus Weber ◽  
Björn Wimmer ◽  
Katharina Wilutzky ◽  
Patricia Neuenhahn ◽  
...  
Keyword(s):  
Health Status ◽  
Strain Differences ◽  
Wistar Rat ◽  
Historical Control ◽  
Data Sets ◽  
Rat Strains ◽  
Control Data ◽  
Data Set ◽  
Hematology Parameters ◽  
Historical Control Data

The physiological and health status of control animals may vary. Due to this variation, it is important to define acceptable ranges of control hematology parameters to gain a better understanding of adverse and non-adverse effects of test substances. After generating historical control data for two Wistar rat strains (RccHan™:WIST and Crl:WI(Han)) from different breeders, the data sets were statistically analyzed using Minitab®. After noticing that single outliers can affect the study control data set, the respective outliers were verified relative to the available histopathology findings, for example, inflammatory pulmonary lesions following vehicle aspiration or spontaneous sperm granuloma affecting the health status and hematology data of the respective animals. Such data points were excluded from the control data set. Comparing both data sets, it was obvious that different blood sampling and anesthesia methods as well as strain differences may result in slightly different values. After excluding the outliers, a data set from animals with presumably good health status was generated to define acceptable ranges and severity degrees. To evaluate effects, possibly influencing hematology parameters and defined acceptable ranges, selected vehicles and different study types were observed.

scholarly journals Identifying Outliers in Response Quality Assessment by Using Multivariate Control Charts Based on Kernel Density Estimation

2021 ◽  
Vol 37 (1) ◽  
pp. 97-119
Author(s):  
Jiayun Jin ◽  
Geert Loosveldt
Keyword(s):  
Density Estimation ◽  
Kernel Density Estimation ◽  
Control Charts ◽  
Kernel Density ◽  
Item Nonresponse ◽  
Minimum Covariance Determinant ◽  
Control Data ◽  
Statistical Process ◽  
Data Set ◽  
Response Quality

Abstract When monitoring industrial processes, a Statistical Process Control tool, such as a multivariate Hotelling T 2 chart is frequently used to evaluate multiple quality characteristics. However, research into the use of T 2 charts for survey fieldwork–essentially a production process in which data sets collected by means of interviews are produced–has been scant to date. In this study, using data from the eighth round of the European Social Survey in Belgium, we present a procedure for simultaneously monitoring six response quality indicators and identifying outliers: interviews with anomalous results. The procedure integrates Kernel Density Estimation (KDE) with a T 2 chart, so that historical “in-control” data or reference to the assumption of a parametric distribution of the indicators is not required. In total, 75 outliers (4.25%) are iteratively removed, resulting in an in-control data set containing 1,691 interviews. The outliers are mainly characterized by having longer sequences of identical answers, a greater number of extreme answers, and against expectation, a lower item nonresponse rate. The procedure is validated by means of ten-fold cross-validation and comparison with the minimum covariance determinant algorithm as the criterion. By providing a method of obtaining in-control data, the present findings go some way toward a way to monitor response quality, identify problems, and provide rapid feedbacks during survey fieldwork.

Inhibition of Metabolic Hydrogen Ion Flux Resulting from Cadmium Stress in Aquatic Microecosystems

1987 ◽  
Vol 19 (11) ◽  
pp. 85-94
Author(s):  
William D. Nicholas ◽  
A. Ray Abernathy
Keyword(s):  
Net Photosynthesis ◽  
Cadmium Stress ◽  
Effective Concentration ◽  
Hydrogen Ion ◽  
Ph Change ◽  
Control Data ◽  
Data Set ◽  
Analysis Techniques ◽  
Photosynthesis And Respiration ◽  
Periodic Changes

Periodic changes in pH were monitored at 30 s intervals in naturally-derived, aquatic microeco-systems. The pH of the system was controlled between two setpoints with a microcomputer. When the upper setpoint was reached a light bank was turned off until the pH dropped to the lower setpoint and the light was again turned on. The cycling of the pH in the microcosms was analyzed using time series analysis techniques. Each experiment resulted in a 24 hour control data set and a 24 hour experimental data set that began with the addition of an inhibitor or toxicant. EC50 values (effective concentration for 50% inhibition) of net photosynthesis and respiration of the community were calculated from slopes of the periodic response to cadmium and compared to literature values. The EC50 for dark induced pH change was 3.8 ppm while the EC50 for light induced pH change was 0.51 ppm. Increasing cadmium concentrations caused dominant peaks in the variance periodograms to be shifted to longer periods.

scholarly journals Organizational and methodological basis of implementation and improvement of internal economic control of accounts receivable for non-commodity transactions

2020 ◽  
pp. 75-81
Author(s):  
Mikhail Kotsupatryi ◽  
Kateryna Pylypenko ◽  
Mykola Kucherenko
Keyword(s):  
Production Costs ◽  
Educational Institutions ◽  
Final Report ◽  
Control Data ◽  
Data Set ◽  
Accounts Receivable ◽  
Economic Control ◽  
Economic Process ◽  
The Subject ◽  
Methodological Aspects

The subject of the study is the organizational and methodological aspects of accounting and internal economic control of accounts receivable for non-commodity transactions. The purpose of the article is to improve them regarding to the internal economic control. The results of the study are in establishing the features of accounts receivable for non-commodity transactions and their accounting. This allowed us to identify the main problems, functions, directions and tasks of their internal economic control. The main measures for its improvement at the organizational (comprehensive audits) and methodological level (based on factual and documentary inspections) with the involvement of property survey boards and auditing commissions are proposed. The content of stages and sections of control inspections final report is developed. Field of application of the results: enterprises, educational institutions training the specialists in accounting and taxation, analysis, control. Conclusions. The effectiveness of the final stage – the stage of generalization and implementation of control results – should ensure the analytical character of control data set in the previous stage. It means, first of all, the distribution of deviations of production costs by reasons of their occurrence, grouping and coding of irregularities detected by their scale and impact on the economic process, the systematic connection of deviations of production costs with the centres responsible for irregularities, reference to the document containing investigative and legal substantiation of the specific performers guilt. This approach allows the enterprises management to eliminate the irregularities effective and timely and to prevent them in the future.

scholarly journals Recording Heart Rate Variability of Dairy Cows to the Cloud—Why Smartphones Provide Smart Solutions

Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2541 ◽  
Author(s):  
Maren Wierig ◽  
Leonard Mandtler ◽  
Peter Rottmann ◽  
Viktor Stroh ◽  
Ute Müller ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Dairy Cows ◽  
Time Domain ◽  
Smartphone Application ◽  
Smart Devices ◽  
Control Data ◽  
Data Set ◽  
Heart Rate Monitors ◽  
Animal Protection

In the last decades, there has been an increasing interest in animal protection and welfare issues. Heart rate variability (HRV) measurement with portable heart rate monitors on cows has established itself as a suitable method for assessing physiological states. However, more forward-looking technologies, already successfully applied to evaluate HRV data, are pushing the market. This study examines the validity and usability of collecting HRV data by exchanging the Polar watch V800 as a receiving unit of the data compared to a custom smartphone application on cows. Therefore, both receivers tap one signal sent by the Polar H7 transmitter simultaneously. Furthermore, there is a lack of suitable methods for the preparation and calculation of HRV parameters, especially for livestock. A method is presented for calculating more robust time domain HRV parameters via median formation. The comparisons of the respective simultaneous recordings were conducted after artifact correction for time domain HRV parameters. High correlations (r = 0.82–0.98) for cows as well as for control data set in human being (r = 0.98–0.99) were found. The utilization of smart devices and the robust method to determine time domain HRV parameters may be suitable to generate valid HRV data on cows in field-based settings.

scholarly journals Strategies for detecting and identifying biological signals amidst the variation commonly found in RNA sequencing data

BMC Genomics ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
William W. Wilfinger ◽  
Robert Miller ◽  
Hamid R. Eghbalnia ◽  
Karol Mackey ◽  
Piotr Chomczynski
Keyword(s):  
Gene Expression ◽  
Rna Sequencing ◽  
Data Sets ◽  
Sequencing Data ◽  
Database Analysis ◽  
Control Data ◽  
Data Set ◽  
String Database ◽  
Expression Variability ◽  
Differential Gene

Abstract Background RNA sequencing analysis focus on the detection of differential gene expression changes that meet a two-fold minimum change between groups. The variability present in RNA sequencing data may obscure the detection of valuable information when specific genes within certain samples display large expression variability. This paper develops methods that apply variance and dispersion estimates to intra-group data to identify genes with expression values that diverge from the group envelope. STRING database analysis of the identified genes characterize gene affiliations involved in physiological regulatory networks that contribute to biological variability. Individuals with divergent gene groupings within network pathways can thereby be identified and judiciously evaluated prior to standard differential analysis. Results A three-step process is presented for evaluating biological variability within a group in RNA sequencing data in which gene counts were: (1) scaled to minimize heteroscedasticity; (2) rank-ordered to detect potentially divergent “trendlines” for every gene in the data set; and (3) tested with the STRING database to identify statistically significant pathway associations among the genes displaying marked trendline variability and dispersion. This approach was used to identify the “trendline” profile of every gene in three test data sets. Control data from an in-house data set and two archived samples revealed that 65–70% of the sequenced genes displayed trendlines with minimal variation and dispersion across the sample group after rank-ordering the samples; this is referred to as a linear trendline. Smaller subsets of genes within the three data sets displayed markedly skewed trendlines, wide dispersion and variability. STRING database analysis of these genes identified interferon-mediated response networks in 11–20% of the individuals sampled at the time of blood collection. For example, in the three control data sets, 14 to 26 genes in the defense response to virus pathway were identified in 7 individuals at false discovery rates ≤1.92 E-15. Conclusions This analysis provides a rationale for identifying and characterizing notable gene expression variability within a study group. The identification of highly variable genes and their network associations within specific individuals empowers more judicious inspection of the sample group prior to differential gene expression analysis.

scholarly journals Database of the historical series of fisheries production in the middle Madeira River region, southwest of the Amazon, from 2001 to 2013

2021 ◽  
Vol 1 (2) ◽  
pp. 72-80
Author(s):  
Keythiane Freire Ramos ◽  
Larissa Sbeghen Pelegrini ◽  
Jéssica Vieira Sardinha ◽  
Rodrigo Tartari ◽  
Marcelo Rodrigues dos Anjos
Keyword(s):  
Total Production ◽  
Fish Production ◽  
Control Data ◽  
Data Set ◽  
River Region ◽  
Historical Series ◽  
The World ◽  
Different Types ◽  
Madeira River

The Amazon is very important regarding the continental extractive fishing as it has the greatest diversity of freshwater fish in the world. Some factors can contribute to identify significant changes in fish production, such as characterization based on common names, and synonyms or classifications only at the genus level. This creates noise in different types of analyzes and mistakes in determining effective productions, as well as levels of exploitation for management. Thus, this study aims to demonstrate the variation in fish production over the years 2001 and 2013, using control data from the fishing colony "Dr. Renato Pereira Gonçalves Z-31" in the municipality of Humaitá, southern Amazonas. These data were analyzed by collaborators from the Laboratory of Ichthyology and Fisheries Management of the Madeira River Valley, at the Federal University of Amazonas. The fish landing monitoring allowed the determination of the species caught in the regional fishery and evaluated the effect of the hydrological level and the pre- and post-installation periods of the Santo Antônio and Jirau HPPs in Rondônia, on the total production. The data set showed the significant decrease in fish production between 2008 and 2013. Among the factors that explain the observed changes are the mistakes in determining the effective production due to the lack of criteria in the grouping of many species, the absence of regulations, such as the "Portaria IBAMA Nº 48" which was created only in 2007, in addition to the installation period of the HPPs on the Madeira River. It was also possible to verify the effect of seasonality through hydrological quotas on fish production, with the highest values observed in July, August and September of the years analyzed.

scholarly journals Accuracy of predicting milk yield from alternative milk recording schemes

2005 ◽  
Vol 80 (1) ◽  
pp. 53-60 ◽  
Author(s):  
D. P. Berry ◽  
V. E. Olori ◽  
A. R. Cromie ◽  
R. F. Veerkamp ◽  
M. Rath ◽  
...  
Keyword(s):  
Milk Yield ◽  
Milk Sample ◽  
Milk Fat ◽  
Control Data ◽  
Data Set ◽  
The Mean ◽  
Fat Yield ◽  
High Level ◽  
Accuracy Of Prediction ◽  
High Degree

AbstractThe effect of reducing the frequency of official milk recording and the number of recorded samples per test-day on the accuracy of predicting daily yield and cumulative 305-day yield was investigated. A control data set consisting of 58 210 primiparous cows with milk test-day records every 4 weeks was used to investigate the influence of reduced milk recording frequencies. The accuracy of prediction of daily yield with one milk sample per test-day was investigated using 41 874 testday records from 683 cows. Results show that five or more test-day records taken at 8-weekly intervals (A8) predicted 305-day yield with a high level of accuracy. Correlations between 305-day yield predicted from 4-weekly recording intervals (A4) and from 8-weekly intervals were 0.99, 0.98 and 0.98 for milk, fat and protein, respectively. The mean error in estimating 305-day yield from the A8 scheme was 6.8 kg (s.d. 191 kg) for milk yield, 0.3 kg (s.d. 10 kg) for fat yield, and −0.3 kg (s.d. 7 kg) for protein yield, compared with the A4 scheme. Milk yield and composition taken during either morning (AM) or evening (PM) milking predicted 24-h yield with a high degree of accuracy. Alternating between AM and PM sampling every 4 weeks predicted 305-day yield with a higher degree of accuracy than either all AM or all PM sampling. Alternate AM-PM recording every 4 weeks and AM + PM recording every 8 weeks produced very similar accuracies in predicting 305-day yield compared with the official AM + PM recording every 4 weeks.

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